diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -1,1056 +1,90 @@
-# Dataverse
+![](https://i.ibb.co/VxJVCtk/Screen-Shot-2024-04-05-at-12-05-02.png)
 
-## Índice
+## Definición de Producto:
 
-* [1. Preámbulo](#1-preámbulo)
-* [2. Resumen del proyecto](#2-resumen-del-proyecto)
-* [3. Consideraciones generales](#3-consideraciones-generales)
-* [4. Funcionalidades](#4-funcionalidades)
-* [5. Consideraciones técnicas](#5-consideraciones-técnicas)
-* [6. Hitos](#6-hitos)
-* [7. Criterios de aceptación mínimos del proyecto](#7-criterios-de-aceptación-mínimos-del-proyecto)
-* [8. Hacker edition](#8-hacker-edition)
-* [9. Objetivos de aprendizaje](#9-objetivos-de-aprendizaje)
-* [10. Pistas, tips y lecturas complementarias](#10-pistas-tips-y-lecturas-complementarias)
-* [11. Consideraciones para pedir tu Project Feedback](#11-consideraciones-para-pedir-tu-project-feedback)
+¡Bienvenidos **SharkInfo**! Aquí encontrarás fascinantes datos sobre 24 especies de tiburones, sus hábitats, comportamientos y mucho más. Esta app está diseñado para estudiantes, aficionados de la vida marina y cualquier persona interesada en aprender sobre estos magníficos depredadores marinos.
 
-***
+## **Características Principales:**
 
-## 1. Preámbulo
+- **principales Usuarios:** Estudiantes, aficionados y aquellos que desean ampliar su conocimiento sobre tiburones y compartir información con otros.
+- **Explora 24 Especies:** Conoce a las especies de tiburones más conocidas del mundo a través de datos detallados y fotografías impresionantes.
+- **Información Esencial:** Encuentra datos básicos como el nombre común y científico de cada especie, junto con imágenes de alta calidad en su hábitat natural.
+- **Curiosidades y Características:** Descubre hechos fascinantes sobre cada especie, su esperanza de vida, ubicación y hábitos alimenticios.
 
-Según [Forbes](https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read),
-el 90% de la data que existe hoy ha sido creada durante los últimos dos años.
-Cada día generamos 2.5 millones de terabytes de datos, una cifra sin
-precedentes.
+## **Prompting utilizado para generar la Data** 🤖
 
-No obstante, los datos por sí mismos son de poca utilidad. Para que esas
-grandes cantidades de datos se conviertan en **información** fácil de leer para
-las usuarias, necesitamos entender y procesar estos datos. Una manera simple de
-hacerlo es creando _interfaces_ y _visualizaciones_.
+![](https://i.ibb.co/x26zVn1/promp-1.jpg)
+![](https://i.ibb.co/D71fhZZ/promp-2.jpg)
 
-En la siguiente imagen, podrás ver cómo con la data que que se ve en la parte
-izquierda se puede construir una interfaz amigable y entendible por las
-usuarias, al lado derecho.
 
-![pokemon-data-to-ui](https://user-images.githubusercontent.com/12631491/218505816-c6d11758-9de4-428f-affb-2a56ea4d68c4.png)
+## **Historias de Usuario:**
 
-## 2. Resumen del proyecto
+1. **Visualización de las imágenes de las 24 especies de tiburones** 👀
 
-En este proyecto **construirás una _página web_ para visualizar un
-_conjunto (set) de datos_** que vas a generar con [prompting](https://www.itmadrid.com/que-es-un-prompt-en-inteligencia-artificial-ia/).
-Esta página web se adecuará a lo que descubras que tu usuaria
-necesita.
+   - **Como** estudiante y/o aficionado del mundo de los tiburones.
+   - **Quiero** poder ver una lista de los tiburones más conocidos del mundo.
+   - **Para** ampliar mis conocimientos sobre las especies de tiburones, para investigar como parte de un proyecto escolar.
 
-Además, en este proyecto utilizarás herramientas de
-[inteligencia artificial](https://es.wikipedia.org/wiki/Inteligencia_artificial)
-como [ChatGPT](https://openai.com/chatgpt), [ExplainDev](https://explain.dev/),
-entre otras para generar un set de datos en un archivo javascript.
+   **Criterios de aceptación:**
+   - Incluir una lista o grilla de tiburones.
+   - Ver imágenes de alta calidad de las especies de tiburones en su hábitat natural.
+   - Cada tarjeta debe proporcionar el nombre común y científico del tiburón.
+   - Se debe incluir una breve descripción de cada especie que destaque sus características distintivas, como tamaño, hábitat y comportamiento.
 
-El propósito de generar los datos en esta manera es brindarte la oportunidad de
-adentrarte en el empleo de herramientas impulsadas por la inteligencia
-artificial, así como en [técnicas de prompting](https://learnprompting.org/es/docs/intro).
+2. **Filtrado y ordenado por hábitat y tamaño de tiburones** 🔎
 
-Como entregable final tendrás una página web que permita **visualizar la data,
-filtrarla, ordenarla y calcular alguna estadística**. Con estadística
-nos referimos a distintos cálculos que puedes hacer con los datos para mostrar
-información aún más relevante a las usuarias (promedio, el valor máximo
-o mínimo, etc).
+   - **Como** estudiante y/o aficionado del mundo de los tiburones.
+   - **Quiero** poder filtrar por hábitat y además ordenar por tamaño de forma ascendente y descendente, además poder limpiar los filtro que aplique.
+   - **Para** observar las diferencias de hábitat y tamaños entre cada especie.
 
-## 3. Consideraciones generales
+   **Criterios de aceptación:**
+   - La app debe permitir a los usuarios filtrar la lista de tiburones por hábitat, incluyendo opciones como aguas profundas, aguas tropicales y subtropicales, océano atlántico, océano pacifico y océanos en todo el mundo.
+   - Se debe proporcionar la opción de ordenar la lista de tiburones por tamaño de forma ascendente y descendente.
+   - La funcionalidad de filtrado y ordenamiento debe ser intuitiva y fácil de usar para el usuario.
+   - Debe ser posible filtrar por hábitat y luego ordenar por tamaño.
+   - Se deben proporcionar opciones claras para deshacer los filtros y restablecer la lista a su estado original si es necesario.
+   - Se debe realizar pruebas exhaustivas de la funcionalidad de filtrado y ordenamiento para garantizar su correcto funcionamiento en diferentes situaciones y escenarios de uso.
 
-* Este proyecto se debe resolver en duplas.
-* El rango de tiempo estimado para completar el proyecto es de 4 a 5 Sprints.
-* El tiempo estimado que deberías dedicar a la [generación de los datos](#generar-los-datos)
-  es de máximo un sprint. Además, al final del proyecto deberás presentar
-  un [screenshot del prompt utilizado](#prompt-utilizado).
-* Si ves que te va a tomar más tiempo,
-  deberás utilizar los datos de ejemplo que los vas a encontrar en
-  esta ruta: `./src/data/dataset.js`.
-* El proyecto será entregado subiendo tu código a GitHub (commit/push) y la
-  interfaz será desplegada usando [GitHub Pages](https://pages.github.com/).
+3. **Calculo de Longevidad Promedio de los Tiburones** 🧮 
 
-## 4. Funcionalidades
+   - **Como** estudiante y/o aficionado del mundo de los tiburones.
+   - **Quiero** poder calcular al accionar un botón y ver el promedio de la longevidad de los tiburones.
+   - **Para** observar el promedio de la longevidad de todos los tiburones así como al filtrar por hábitat.
 
-Como entregable final tendrás una página web que permita **visualizar la data,
-filtrarla, ordenarla y calcular alguna estadística**.
+   **Criterios de aceptación:**
+   - La plataforma debe proporcionar un botón claramente visible para calcular el promedio de la longevidad de los tiburones.
+   - Al hacer clic en el botón de cálculo, se debe mostrar de manera clara y legible el promedio de la longevidad de todos los tiburones presentes en la lista, debe estar expresada en años y la cantidad debe contener 2 decimales.
+   - Cuando se filtre por hábitat, el cálculo del promedio de la longevidad debe basarse únicamente en los tiburones que pertenecen al hábitat seleccionado.
+   - La aplicación debe ser responsive en computadores y teléfonos.
+   - Se debe realizar pruebas exhaustivas para verificar la precisión del cálculo del promedio de la longevidad y la funcionalidad de filtrado y ordenado  diferentes situaciones y escenarios de uso.
 
-Aquí definimos en más detalle las funcionalidades mínimas que debe
-tener:
+## Diseño de la Interfaz de Usuaria (prototipo de alta fidelidad) 💻
 
-* La aplicación debe permitir a la usuaria ver los items de la data en una visualización,
-  que puede ser [tipo tarjetas](http://www.uxables.com/diseno-ux-ui/que-es-y-como-disenar-una-card/)
-  o cualquier otra forma que tú decidas como la adecuada (pero desde aquí
-  referimos a los items como "tarjetas"). **Cada una de las tarjetas debe estar
-  contenida en un elemento `<li>` y estos a su vez contenido en
-  un elemento `<ul>`.**
+El diseño de la interfaz de usuarias se realizó siguiendo un prototipo de alta fidelidad:
 
-* El elemento `<ul>` deberá ser hijo de un elemento con atributo _id_
-  de valor "root". **Este es un paso importante para que tu**
-  **aplicación tenga la estructura requerida**
 
-* Las tarjetas deben resaltar los valores de las propiedades de la data que
-  le interesaría a la usuaria ver. Por ejemplo: nombre, fecha, imagen, etc.
-  **Si vas a filtrar u ordenar por una propiedad, la tarjeta tiene que mostrar
-  el valor de esta propiedad a la usuaria.**
+![](https://i.ibb.co/MN6Zj6F/Prototipo-Desktop-calculo-data.jpg)
 
-* La interfaz debe estructurar semánticamente la data usando el estándar
-  [microdatos](https://developer.mozilla.org/es/docs/Web/HTML/Microdata).
-  Es obligatorio usar al menos los atributos
-  [`itemscope`](https://developer.mozilla.org/en-US/docs/Web/HTML/Global_attributes/itemscope),
-  [`itemtype`](https://developer.mozilla.org/en-US/docs/Web/HTML/Global_attributes/itemtype)
-  y el atributo
-  [`itemprop`](https://developer.mozilla.org/en-US/docs/Web/HTML/Global_attributes/itemprop).
 
-  Por ejemplo, la siguiente data correspondiente a Ada Lovelace:
+## **El listado de problemas que detectaste a través de tests de usabilidad**
 
-  ```json
-    {
-      "id": "ada-lovelace",
-      "name": "Ada Lovelace",
-      "shortDescription": "Pionera de la informática, fue la primera programadora.",
-      "description": "Una visionaria del siglo XIX ...",
-      "imageUrl": "URL_DE_LA_IMAGEN_GENERADA",
-      "facts": {
-        "yearOfBirth": 1843,
-        "placeOfBirth": "London, England",
-        "mainField": "Computer Science",
-      }
-    }
-  ```
+1. La calidad de la imagen de fondo no es la misma para dispositivos móviles como para escritorio.
+2. Las tarjetas se visualizaban muy pequeñas en modo escritorio y no se apreciaba su contenido.
+3. La app ordenaba toda la data y no los filtros aplicados por los usuarios.
+4. La app no era completamente receptiva o no se adaptaba bien a pantallas más pequeñas, lo que dificultaría la experiencia de los usuarios que acceden desde dispositivos móviles.
 
-  puede ser estructurada semánticamente en HTML como:
+## **Contribuciones y Colaboraciones:**
 
-  ```html
-   <dl itemscope itemtype="WomenInTech">
-    <img src="URL_DE_LA_IMAGEN_GENERADA" alt="Ada Lovelace" />
-    <dt>Nombre:</dt><dd itemprop="name">Ada Lovelace</dd>
-    <dt>Descripción:</dt><dd itemprop="description">Pionera de la informática, fue la primera programadora.</dd>
-    <dt>Año de nacimiento:</dt><dd itemprop="yearOfBirth">1843</dd>
-    <dt>Lugar de nacimiento:</dt><dd itemprop="placeOfBirth">London, England</dd>
-    <dt>Campo de desempeño:</dt><dd itemprop="mainField">Computer Science</dd>
-  </dl>
-  ```
+Este proyecto es un esfuerzo colaborativo. Si deseas contribuir con datos adicionales, imágenes o mejorar la experiencia de usuario, ¡eres bienvenido a hacerlo! 🤝
 
-* La aplicación debe calcular y visualizar una estadística de la data. Puede
-  ser una propiedad computada de cada item, como una propiedad adicional
-  (por ejemplo, el índice de masa corporal de cada pokemon) o unas estadísticas
-  de la data completa (por ejemplo, total de personas nacidas en los años 80s).
+## Información de Contacto
 
-* La aplicación debe permitir a la usuaria filtrar la data. Deberás usar
-  un elemento [`<select>`](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/select)
-  con [un atributo de datos](https://developer.mozilla.org/es/docs/Learn/HTML/Howto/Use_data_attributes)
-  `data-testid="select-filter"`, y un atributo `name` con el nombre
-  de la propiedad por la que filtrará (por ejemplo, si vas a filtrar por "type",
-  el `<select>` tendrá  `name="type"`). Los `<option>` de este `<select>` deberán
-  tener en el atributo `value` el valor del filtro (por ejemplo, si vas a filtrar
-  por type "fire" sería `<option value="fire">Fire</option>`).
+Si tienes dudas o sugerencias puedes contactarte a los siguientes correos: [Vizcarra.iveth@uabc.edu.mx](mailto:Vizcarra.iveth@uabc.edu.mx) y [mireilysastudillo1991@gmail.com](mailto:mireilysastudillo1991@gmail.com).
 
-* La aplicación debe permitir a la usuaria ordenar la data.
-  - Tendrá al menos un control `<select>` para ordenar.
-  - Si usas solo un control `<select>`, debe tener
-    [un atributo de datos](https://developer.mozilla.org/es/docs/Learn/HTML/Howto/Use_data_attributes)
-    `data-testid="select-sort"` y un atributo `name` con el nombre de la
-    propiedad por la que ordenará. (por ejemplo, si vas a ordenar por
-    "num" seria `name="num"`). Este `<select>` tendrá dos [`<option>`](https://developer.mozilla.org/en-US/docs/Web/HTML/Element/option)
-    con `value` `asc` y `desc`, para ordenar ascendente y descendente la data
-    respectivamente (por ejemplo, `<option value="asc">A - Z</option>`).
-  - Una alternativa es ofrecer la usuaria un ordenamiento mas complejo.
-    Podrías implementar ordenar por varios propiedades. En este caso sería con
-    un `<select>` con un atributo de datos `data-testid="select-sort"`, y que
-    contiene hijos `<option>` con un `value` del nombre de la propiedad con
-    cual vas a ordenar. (Por ejemplo, `<option value="name">Nombre</option>`).
-    También, necesitarás otro control (`<radio>`,`<select>`, etc.) para decir
-    que el ordenamiento es ascendente o descendente. Este control secundaria
-    tendrá un atributo `name="sort-order"`, y tiene values `asc` y `desc`.
+<aside>
+👩‍💻 Realizado por Iveth Vizcarra y Mireilys Astudillo
+</aside>
 
-* Las funcionalidades de ordenar deben operar sobre la data filtrada.
-  Por ejemplo, si filtro los pokemones de tipo fuego y luego los ordeno por
-  nombre ascendente, la aplicación deberá mantener el filtro aplicado y
-  ordenar los pokemones de tipo fuego.
-
-* La aplicación debe permitir a la usuaria reiniciar la aplicación, limpiando
-  filtros y ordenamiento, con un `<button>` con un atributo de datos
-  `data-testid="button-clear"`.
-
-* Las operaciones de filtrar, ordenar, limpiar, etc. no deben recargar
-  la página, si no que deben agregar el contenido en una manera
-  dinámica via javascript.
-
-* La aplicación será _responsive_, es decir, debe visualizarse sin problemas
-  desde distintos tamaños de pantallas: móviles, tablets y desktops.
-
-Los siguientes wireframes, son ejemplos de una interfaz que puede cumplir con esta
-funcionalidad. Como podrás ver, estos diseños cumplen con la metodología
-[Mobile First](https://developer.mozilla.org/es/docs/Glossary/Mobile_First), la misma
-que te recomendamos utilizar en todos tus proyectos:
-
-Diseño Mobile:
-
-* [Wireframe mobile 1](https://github.com/Laboratoria/curriculum/assets/123121338/54711bb7-cb05-448e-b677-3cbd9bf13c14)
-* [Wireframe mobile 2](https://github.com/Laboratoria/curriculum/assets/123121338/bf96d3ce-150f-47a2-a605-2efac2e0497b)
-
-Diseño Desktop:
-
-* [Wireframe desktop 1](https://github-production-user-asset-6210df.s3.amazonaws.com/92090/261137084-1625aeb8-883c-4b79-86da-5fab34fa5b88.png)
-* [Wireframe desktop 2](https://github-production-user-asset-6210df.s3.amazonaws.com/92090/261137087-6cef16bc-643a-4d6d-bc1c-e0daaeb21c88.png)
-
-## 5. Consideraciones técnicas
-
-La lógica del proyecto debe estar implementada completamente en JavaScript
-(ES6), HTML y CSS. En este proyecto NO está permitido usar librerías o
-frameworks, solo [vanilla JavaScript](https://medium.com/laboratoria-how-to/vanillajs-vs-jquery-31e623bbd46e),
-con la excepción de librerías para hacer gráficas (charts); ver
-[_Parte opcional_](#8-hacker-edition) más arriba.
-
-El _boilerplate_ contiene una estructura de archivos como punto de partida así
-como toda la configuración de dependencias:
-
-```text
-.
-├── README.md
-├── package.json
-├── src
-|  ├── data
-|  |  └── dataset.js (La que hayas generado con la IA)
-|  ├── dataFunctions.js
-|  ├── view.js
-|  ├── index.html
-|  ├── main.js
-|  └── style.css
-└── test
-   └── data.js
-   └── dataFunctions.spec.js
-   └── tests-read-only
-
-```
-
-### `src/index.html`
-
-Como en el proyecto anterior, existe un archivo `index.html`. Como ya sabes,
-acá va la página que se mostrará a la usuaria. También nos sirve para indicar
-qué scripts se usarán y unir todo lo que hemos hecho.
-
-### `src/main.js`
-
-Recomendamos usar `src/main.js` para todo tu código que tenga que ver con
-mostrar los datos en la pantalla. Con esto nos referimos básicamente a la
-interacción con el DOM. Operaciones como creación de nodos, registro de
-manejadores de eventos (_event listeners_ o _event handlers_).
-
-En este archivo encontrarás una serie de _imports_ listos para _cargar_
-las diferentes fuentes de datos.
-
-Por ejemplo, los datos con los que vas a trabajar,
-los encontrarás en la siguiente línea:
-
-```js
-import data from './data/dataset.js';
-```
-
-### `src/dataFunctions.js`
-
-El corazón de este proyecto es la manipulación de datos a través de arreglos
-y objetos.
-
-Este archivo va a contener toda la funcionalidad que corresponda
-a obtener, procesar y manipular datos (tus funciones). Por ejemplo:
-
-* `filterData(data, filterBy, value)`: esta función recibe tres parámetros.
-  El primer parámetro, `data`, nos entrega los datos.
-  El segundo parámetro, `filterBy`, nos dice con respecto a cuál de los campos de
-  la data se quiere filtrar.
-  El tercer parámetro, `value`, indica el valor de campo que queremos filtrar.
-
-* `sortData(data, sortBy, sortOrder)`: esta función `sort` u ordenar
-  recibe tres parámetros.
-  El primer parámetro, `data`, nos entrega los datos.
-  El segundo parámetro, `sortBy`, nos dice con respecto a cuál de los campos de
-  la data se quiere ordenar.
-  El tercer parámetro, `sortOrder`, indica si se quiere ordenar de manera
-  ascendente o descendente.
-
-* `computeStats(data)`: la función `compute` o calcular, nos permitirá hacer
-  cálculos estadísticos básicos para ser mostrados de acuerdo a la data
-  proporcionada, esta función debe usar el método reduce.
-
-Estas funciones deben ser [_puras_](https://medium.com/laboratoria-developers/introducci%C3%B3n-a-la-programaci%C3%B3n-funcional-en-javascript-parte-2-funciones-puras-b99e08c2895d)
-e independientes del DOM. Estas funciones serán después usadas desde el archivo
-`src/main.js`, al cargar la página, y cada vez que la usuaria interactúe
-(click, filtrado, ordenado, ...).
-
-### `src/data`
-
-En esta carpeta están los datos con los que vas a trabajar (los datos de ejemplo
-o los datos que generarías con ayuda de la inteligencia artificial).
-
-### `test/dataFunctions.spec.js`
-
-En este archivo tendrás hacer pruebas unitarias de las funciones
-implementadas en el archivo `dataFunctions.js`. (`filterBy`, `sortBy`, etc.)
-
-### `test/data.js`
-
-En esta archivo puedes construir y exportar data "mock" para usar en los tests.
-Es mas fácil probar un arreglo de 5 elementos de un arreglo de 24, por eso
-vas a crear una muestra de la data que quieres probar. Como mínimo
-debes exportar un variable se llama `data`, pero puedes definir y exportar mas
-si sea necesario para tus tests.
-
-### `src/view.js`
-
-Para alcanzar una mejor separación de responsabilidades en el código, éste
-archivo debe tener todas las funciones que se utilizarán para renderizar
-los elementos dinámicamente.
-
-Al menos se requiere una función obligatoria:
-
-* `renderItems(data)`: esta función recibe el arreglo de data para renderizar
-  los elementos de cada item, y debería volver un elemento DOM o
-  un string de HTML.
-
-Recuerda que todas las funciones que se encuentren en este
-archivo deberán ser exportadas para poder ser utilizadas en
-otros archivos.
-
-Recomendamos esta estructura para no solo proporcionar un marco claro y
-organizado para el proyecto, facilitando la navegación comprensión, y
-escalabilidad del código, sino también para seguir un principio de diseño
-[Separación de Responsabilidades](https://dev.to/tamerlang/separation-of-concerns-the-simple-way-4jp2)
-en codigo, donde cada archivo y carpeta
-tiene una responsabilidad específica. La responsabilidad de los funciones en
-`view.js` es para crear partes del DOM con la data.
-
-Esta no es la única forma de dividir tu código, puedes usar más archivos y
-carpetas, siempre y cuando la estructura sea clara para tus compañeras.
-
-## 6. Hitos
-
-Para abordar eficazmente un problema, resulta crucial adquirir una comprensión
-profunda del mismo. Una estrategia efectiva consiste en desglosarlo en problemas
-más pequeños, lo cual facilitará la identificación de las causas subyacentes y la
-formulación de soluciones más eficientes.
-
-En el contexto de este proyecto, recomendamos adoptar un enfoque por hitos.
-Esta metodología te posibilitará concentrarte en un problema a la vez y
-monitorizar tu avance. A continuación, te proporcionamos un calendario de hitos
-que te servirá para estructurar tu trabajo.
-
-* [Hito 1](./docs/01-milestone.md)
-* [Hito 2](./docs/02-milestone.md)
-* [Hito 3](./docs/03-milestone.md)
-* [Hito 4](./docs/04-milestone.md)
-
-## 7. Criterios de aceptación mínimos del proyecto
-
-### Criterios de código
-
-Con cada objetivo de aprendizaje, evaluamos que el código cumpla con algunos
-criterios. Lo cual no excluye que puedas usar otras opciones, por ejemplo
-en el caso de los selectores, proponemos el uso de `querySelector`,
-no significa que no puedes usar `querySelectorAll` o `getElementById` también.
-
-Puedes ejecutar las pruebas de cada grupo de objetivos de aprendizaje de manera
-individual con los siguientes comandos:
-
-``` sh
-npm run test:oas-html
-npm run test:oas-css
-npm run test:oas-web-api
-npm run test:oas-js
-npm run test:oas-prompting
-npm run test:oas // Esto es para correr todos los tests de OAs
-```
-
-Ejecuta las pruebas mientras desarrollas para confirmar que
-tu proyecto está logrando los objetivos. Si algunas pruebas no pasan,
-no permitas que esto te impida avanzar o finalizar el proyecto.
-Utiliza esta información para ver qué necesitas investigar y
-cambiar en tu código, y consulta con tu coach cualquier
-objetivo que tengas pendiente.
-
-Nota: para el correcto funcionamiento de los tests, es necesario que tengas
-instalado `Node.js (LTS)` con la versión 14.0.0 o superior. Para verificar
-la versión de node ejecuta `node -v` en la terminal. Si el comando no te
-devuelve ninguna versión, necesitas instalarlo, para esto, puedes descargarlo
-desde su [sitio oficial](https://nodejs.org/).
-
-#### HTML
-
-* **Uso de HTML semántico**
-
-  - [ ] Tiene un `<header>` con `<h1>`
-  - [ ] Tiene un `<footer>`
-  - [ ] Tiene un `<main>` con `<h2>`
-  - [ ] Todas las etiquetas de controles (inputs, selects, radio, etc) tienen `<label>`
-  - [ ] Todas las etiquetas `<label>` usan el atributo `for`
-  - [ ] `<ul>` esta usado para dibujar la data
-  - [ ] Los hijos de `<li>` usan attributos de [microdata](https://recursivos.com/html/microdatos/)
-  `itemscope` e `itemprop`
-
-Nota: Ten en cuenta que para poder testear el HTML de `<ul>`
-y `<li>` en tu proyecto es necesario que ya tengas una data
-creada, ya que a partir de la data se
-crearán estos elementos.
-
-#### CSS
-
-* **Uso de selectores de CSS**
-
-  - [ ] Uso de selector class para los items `<li>`
-  - [ ] Uso de flexbox en sentido `row` y `column`
-  - [ ] Uso de flexbox para el elemento que contiene los items `<li>`
-  - [ ] Uso de flexbox para el elemento que contiene los UI inputs
-
-* **Modelo de caja (box model): borde, margen, padding**
-
-  - [ ] Uso de atributos de modelo de caja para los items `<li>`
-  - [ ] Uso de atributos de modelo de caja para `<header>` o `<footer>`
-
-#### Web APIs
-
-* **Uso de selectores del DOM**
-
-  - [ ] Uso de [`querySelector`](https://developer.mozilla.org/en-US/docs/Web/API/Document/querySelector)
-    para seleccionar elementos del DOM.
-
-* **Manejo de eventos del DOM (listeners, propagación, delegación)**
-
-  - [ ] Uso de `addEventListener` con callback que tiene parámetro de `event`,
-    lo que permite el uso del objeto [`event`](https://developer.mozilla.org/en-US/docs/Learn/JavaScript/Building_blocks/Events#event_objects)
-    con `event.target` o `event.currentTarget`.
-  - [ ] La aplicación registra [Event Listeners](https://developer.mozilla.org/en/docs/Web/API/EventTarget/addEventListener)
-    para escuchar `click`, `change`, `keyup` dependiendo del evento que
-    se quiere escuchar.
-
-* **Manipulación dinámica del DOM**
-
-  - [ ] La aplicación actualiza el atributo [`innerHTML`](https://developer.mozilla.org/es/docs/Web/API/Element/innerHTML).
-  - [ ] Uso de `createElement` y `appendChild`, o template strings
-    para crear elementos.
-
-#### JavaScript
-
-* **Variables (declaración, asignación, ámbito)**
-
-  - [ ] La aplicación declara variables con [`let`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/let)
-    y [`const`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/const)
-    en manera adecuada
-
-* **Uso de condicionales (if-else, switch, operador ternario, lógica booleana)**
-
-  - [ ] La aplicación usa el statement
-    [`if..else`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/if...else)
-      para evaluar condiciones
-
-* **Uso de bucles/ciclos (while, for, for..of)**
-
-  - [ ] La aplicación usa el statement [`for`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for)
-    o método [`forEach`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/forEach)
-    para iterar
-
-* **Funciones (params, args, return)**
-
-  En el archivo `dataFunctions.js` define las siguientes funciones:
-  - [ ] una función `sortBy` que tiene 3 parámetros (`data`, `sortBy`, `sortOrder`)
-    y devuelve el arreglo ordenado
-  - [ ] una función `filterBy` que tiene 3 parámetros (`data`, `filterBy`, `value`)
-    y devuelve el arreglo filtrado
-  - [ ] una función `computeStats` que tiene al menos un parámetro (`data`)
-    y devuelve un valor computado
-
-  Más sobre estos puntos en [la sección dataFunctions.js](#src/dataFunctions.js)
-
-* **Arrays (arreglos)**
-
-  - [ ] Uso de [Arreglos](https://curriculum.laboratoria.la/es/topics/javascript/04-arrays)
-  - [ ] Uso de [Array.prototype.sort() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/sort)
-    o [Array.prototype.toSorted - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/toSorted)
-  - [ ] Uso de [Array.prototype.forEach() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/forEach)
-  - [ ] Uso de [Array.prototype.map() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/map)
-  - [ ] Uso de [Array.prototype.filter() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/filter)
-  - [ ] Uso de [Array.prototype.reduce() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/Reduce)
-
-* **Objetos**
-
-  - [ ] Uso de notación de punto para [acceder propiedades](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Property_accessors)
-  - [ ] Uso de notación de brackets para [acceder propiedades](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Property_accessors)
-
-* **Módulos de ECMAScript (ES Modules)**
-
-  - [ ] La aplicación usa [`import`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/import)
-    y [`export`](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/export)
-    para importar y exportar valores desde un modulo JavaScript.
-
-### Criterios del proyecto
-
-#### Definición del producto
-
-Documenta brevemente tu trabajo en el archivo `README.md` de tu repositorio,
-contándonos cómo fue tu proceso de diseño y cómo crees que el producto resuelve
-el problema (o problemas) que tiene tu usuaria.
-
-#### Historias de usuario
-
-Una vez que entiendas las necesidades de tus usuarias, escribe las
-[Historias de Usuaria](https://es.wikipedia.org/wiki/Historias_de_usuario)
-que representen
-todo lo que la usuaria necesita hacer/ver. Las **Historias de Usuario** deben
-ser el resultado de tu proceso de investigación o _research_ de tus usuarias.
-
-Asegúrate de incluir la definición de terminado (_definition of done_) y los
-Criterios de Aceptación para cada una.
-
-Usa tus historias de usuario para planificar tus sprints dividiendo
-cada historia en tareas.
-
-En la medida de lo posible, termina una Historia de Usuario antes de pasar
-a la siguiente (cumpliendo con la Definición de Terminado y los Criterios de Aceptación).
-
-#### Generar los datos
-
-La temática será a tu gusto, por ejemplo, pueden ser personajes importantes
-en la historia, personajes inventados, países, películas... etc.
-
-En el próximo proyecto, con la ayuda de la inteligencia artificial, deberás
-hacer que la usuaria pueda chatear con la data generada.
-Por ejemplo, si la data está mostrando un país, la usuaria podría
-preguntarle en que año fue fundado o cuál es su capital, etc.
-Tenlo en cuenta a la hora de generar tu dataset.
-
-Esta data la vas a guardar en un archivo javascript. Este archivo,
-debe exportar un arreglo con 24 objetos. Y la estructura de cada objeto
-debe ser la siguiente:
-
-* `id`: Identificador único (no pueden haber dos elementos con el mismo `id`).
-  Debe ser un string de no más de 32 caracteres, en minúscula, compuesto solo
-  por letras, números, underscore (`_`) o guión (`-`). Por ejemplo: `"ada-lovelace"`.
-* `name`: El nombre del personaje, país, película, etc.
-* `shortDescription`: Descripción corta del elemento. Esta descripción deberá
-  tener como máximo 20 palabras.
-* `description`: Descripción extendida del elemento. Esta descripción deberá
-  tener entre 80 y 100 palabras. Al momento de mostrar este dato en pantalla
-  puedes truncarlo para que no ocupe tanto espacio.
-* `imageUrl`: URL de la imagen. Esta imagen será generada a través de alguna
-  herramienta basada en inteligencia artificial. Una vez generada la imagen,
-  y guardada en tu repo, deberás agregar la URL en este campo.
-* `facts`: Un objeto con al menos **3** "hechos" o "info" sobre este elemento, en
-  formato `"nombre": "valor"`, por ejemplo:
-
-  ```json
-  "facts": {
-    "yearOfBirth": 1843,
-    "placeOfBirth": "London, England",
-    "mainField": "Computer Science",
-  }
-  ```
-
-  Los _nombres de las propiedades_, deben estar en formato _camelCase_.
-  Por ejemplo **ninguno** de los siguientes nombres sería válido:
-
-  ```json
-  "facts": {
-    "year_of_birth": 1843,
-    "Place of Birth": "London, England",
-    "MainField": "Computer Science",
-  }
-  ```
-
-  Los _valores de las propiedades_, sólo pueden ser de tipo `number`, `boolean`
-  o un `string` de no más de 64 caracteres (este **no** tiene restricciones sobre
-  el tipo de caracteres que puede contener).
-
-  Y por último ten en cuenta 2 cosas:
-  - Todos los elementos del dataset deben compartir las mismas propiedades en
-    `facts`, es decir, que si un elemento tiene una propiedad `yearOfBirth`,
-    el resto de elementos del array también deben tener esa propiedad.
-  - No es necesario que los nombres de las propiedades estén en inglés,
-    `"lugarDeNacimiento"` es un nombre igual de válido.
-
-* `extraInfo`: Y por último un campo libre opcional, similar a `facts`. Si lo
-  necesitas, aquí puedes poner cualquier otro tipo de información en formato
-  donde puedes poner otra info que necesites en formato `"nombre": "valor"`,
-  pero sin restricciones sobre el tipo de dato del valor. Por ejemplo:
-
-  ```json
-  "extraInfo": {
-    "imagePrompt": "Un texto bien, bien largo...",
-    "writings": [
-      "Vol. 1",
-      "Vol. 2",
-      "Vol. 3",
-      "Vol. 4"
-    ]
-  }
-  ```
-
-Un ejemplo de data, según los requisitos anteriores podría ser:
-
-```js
-export default [
-  {
-    "id": "ada-lovelace",
-    "name": "Ada Lovelace",
-    "shortDescription": "Pionera de la informática, fue la primera programadora.",
-    "description": "Una visionaria del siglo XIX ...",
-    "imageUrl": "URL_DE_LA_IMAGEN_GENERADA",
-    "facts": {
-      "yearOfBirth": 1843,
-      "placeOfBirth": "London, England",
-      "mainField": "Computer Science",
-    }
-  },
-  //... 23 objetos más
-]
-```
-
-La data generada deberás reemplazarla por el contenido de este archivo:
-`./src/data/dataset.js`.
-
-**El tiempo estimado que deberías dedicar a la generación de estos datos
-es de máximo un sprint.** Si transcurrido un sprint, no tienes un
-conjunto de datos generados, deberás
-utilizar los datos de ejemplo ubicados en la ruta:
-`./src/data/dataset.js`.
-
-Las URLs de las imágenes dentro del archivo javascript, deben enlazar
-a las imágenes para cada elemento del array.
-Estas imágenes pueden ser generadas por la inteligencia artificial o imágenes
-que puedas encontrar en la web.
-Para la generación de imágenes te recomendamos usar el
-[generador de imágenes de Bing](https://www.bing.com/create).
-Una vez que tengas la imagen, descárgala u obtén su URL, para agregársela
-al dataset.
-
-Una vez que tengas el archivo javascript completo, recuerda correr los test con
-`npm run test` para verificar que el archivo esté cumpliendo con lo
-solicitado.
-
-Una vez que hayas delimitado tu campo de interés y generado el archivo
-javascript con la asistencia de la inteligencia artificial, dedica
-tiempo a comprender a fondo a tu usuaria y sus
-necesidades específicas. A partir de esta comprensión, podrás diseñar la
-interfaz que facilite una interacción más efectiva y una comprensión más
-completa de los datos presentados.
-
-Nota: no te preocupes si no estás empleando toda la información generada
-en el dataset en tu interfaz, pero es necesario generarla por completo.
-Utilizarás el mismo dataset en el proyecto Dataverse Chat.
-
-#### Prompt utilizado
-
-Dentro del readme que armarás, debe incluir una captura de pantalla
-de tu prompt utilizado para generar los datos. Si utilizaste varios prompts,
-puedes adjuntar todas las capturas que necesites.
-
-#### Diseño de la Interfaz de Usuaria
-
-##### Prototipo de alta fidelidad
-
-Usando los wireframes o bocetos (_sketches_) de tu solución de interfaz
-como base, lo siguiente es diseñar tu Interfaz de Usuaria (UI por sus
-siglas en inglés - _User Interface_). Para eso debes aprender a
-utilizar alguna herramienta de diseño visual.
-Nosotros te recomendamos [Figma](https://www.figma.com/) que es
-una herramienta que funciona en el navegador y, además, puedes crear una cuenta
-gratis. Sin embargo, eres libre de utilizar otros editores gráficos como
-Illustrator, Photoshop, etc.
-
-El diseño debe representar el _ideal_ de tu solución. Digamos que es lo que
-desearías implementar si tuvieras tiempo ilimitado para trabajar. Además, tu
-diseño debe seguir los fundamentos de _visual design_.
-
-Recuerda pedir feedback de tu prototipo a tus compañeras y/o coaches.
-
-#### Testeos de usabilidad
-
-Durante el reto deberás hacer _tests_ de usabilidad con distintos usuarias,
-y con base en los resultados, deberás iterar tus diseños. Cuéntanos
-qué problemas de usabilidad detectaste a través de los _tests_ y cómo los
-mejoraste en tu propuesta final.
-
-#### Implementación de la Interfaz de Usuaria (HTML/CSS/JS)
-
-Luego de diseñar tu interfaz de usuaria deberás trabajar en su implementación.
-**No** es necesario que construyas la interfaz exactamente como la diseñaste.
-Tu tiempo de hacking es escaso, así que deberás priorizar.
-
-Revisa [las funcionalidades](#3-funcionalidades) que el proyecto pide del interfaz.
-
-#### Pruebas unitarias
-
-El _boilerplate_ de este proyecto no incluye Pruebas Unitarias (_tests_), así es
-que  tendrás que escribirlas tú para las funciones encargadas de  _procesar_,
-_filtrar_ y _ordenar_ la data, así como _calcular_ estadísticas. Este proyecto usa
-el framework [Jest](https://jestjs.io/) para ejecutar las pruebas unitarias por lo
-que te recomendamos consultar su documentación.
-
-Tus _pruebas unitarias_ deben dar una cobertura del 70% de _statements_
-(_sentencias_), _functions_ (_funciones_), _lines_ (_líneas_), y _branches_
-(_ramas_) del archivo `src/dataFunctions.js` que contenga tus funciones y
-está detallado en la sección de [Consideraciones técnicas](#src/data.js).
-
-## 8. Hacker edition
-
-Las secciones llamadas _Hacker Edition_ son **opcionales**. Si **terminaste**
-con todo lo anterior y te queda tiempo, intenta completarlas. Así podrás
-profundizar y/o ejercitar más sobre los objetivos de
-aprendizaje del proyecto.
-
-Features/características extra sugeridas:
-
-* Visualizar la estadística calculada mediante un gráfico. Para
-  ello te recomendamos explorar librerías de gráficas como
-  [Chart.js](https://www.chartjs.org/)
-  o [Google Charts](https://developers.google.com/chart/).
-* 100% Coverage
-
-## 9. Objetivos de aprendizaje
-
-
-Reflexiona y luego marca los objetivos que has llegado a entender y aplicar en tu proyecto. Piensa en eso al decidir tu estrategia de trabajo.
-
-### HTML
-
-- [ ] **Uso de HTML semántico**
-
-  <details><summary>Links</summary><p>
-
-  * [HTML semántico](https://curriculum.laboratoria.la/es/topics/html/html5/semantic-html)
-  * [Semantics - MDN Web Docs Glossary](https://developer.mozilla.org/en-US/docs/Glossary/Semantics#Semantics_in_HTML)
-</p></details>
-
-### CSS
-
-- [ ] **Uso de selectores de CSS**
-
-  <details><summary>Links</summary><p>
-
-  * [Intro a CSS](https://curriculum.laboratoria.la/es/topics/css/css/intro-css)
-  * [CSS Selectors - MDN](https://developer.mozilla.org/es/docs/Web/CSS/CSS_Selectors)
-</p></details>
-
-- [ ] **Modelo de caja (box model): borde, margen, padding**
-
-  <details><summary>Links</summary><p>
-
-  * [Box Model & Display](https://curriculum.laboratoria.la/es/topics/css/css/boxmodel-and-display)
-  * [The box model - MDN](https://developer.mozilla.org/en-US/docs/Learn/CSS/Building_blocks/The_box_model)
-  * [Introduction to the CSS box model - MDN](https://developer.mozilla.org/en-US/docs/Web/CSS/CSS_Box_Model/Introduction_to_the_CSS_box_model)
-  * [CSS display - MDN](https://developer.mozilla.org/pt-BR/docs/Web/CSS/display)
-  * [display - CSS Tricks](https://css-tricks.com/almanac/properties/d/display/)
-</p></details>
-
-- [ ] **Uso de flexbox en CSS**
-
-  <details><summary>Links</summary><p>
-
-  * [A Complete Guide to Flexbox - CSS Tricks](https://css-tricks.com/snippets/css/a-guide-to-flexbox/)
-  * [Flexbox Froggy](https://flexboxfroggy.com/#es)
-  * [Flexbox - MDN](https://developer.mozilla.org/en-US/docs/Learn/CSS/CSS_layout/Flexbox)
-</p></details>
-
-### Web APIs
-
-#### DOM (Document Object Model)
-
-- [ ] **Uso de selectores del DOM**
-
-  <details><summary>Links</summary><p>
-
-  * [Manipulación del DOM](https://curriculum.laboratoria.la/es/topics/browser/dom/1-dom-methods-selection)
-  * [Introducción al DOM - MDN](https://developer.mozilla.org/es/docs/Web/API/Document_Object_Model/Introduction)
-  * [Localizando elementos DOM usando selectores - MDN](https://developer.mozilla.org/es/docs/Web/API/Document_object_model/Locating_DOM_elements_using_selectors)
-</p></details>
-
-- [ ] **Manejo de eventos del DOM (listeners, propagación, delegación)**
-
-  <details><summary>Links</summary><p>
-
-  * [Introducción a eventos - MDN](https://developer.mozilla.org/es/docs/Learn/JavaScript/Building_blocks/Events)
-  * [EventTarget.addEventListener() - MDN](https://developer.mozilla.org/es/docs/Web/API/EventTarget/addEventListener)
-  * [EventTarget.removeEventListener() - MDN](https://developer.mozilla.org/es/docs/Web/API/EventTarget/removeEventListener)
-  * [El objeto Event](https://developer.mozilla.org/es/docs/Web/API/Event)
-</p></details>
-
-- [ ] **Manipulación dinámica del DOM**
-
-  <details><summary>Links</summary><p>
-
-  * [Introducción al DOM](https://developer.mozilla.org/es/docs/Web/API/Document_Object_Model/Introduction)
-  * [Node.appendChild() - MDN](https://developer.mozilla.org/es/docs/Web/API/Node/appendChild)
-  * [Document.createElement() - MDN](https://developer.mozilla.org/es/docs/Web/API/Document/createElement)
-  * [Document.createTextNode()](https://developer.mozilla.org/es/docs/Web/API/Document/createTextNode)
-  * [Element.innerHTML - MDN](https://developer.mozilla.org/es/docs/Web/API/Element/innerHTML)
-  * [Node.textContent - MDN](https://developer.mozilla.org/es/docs/Web/API/Node/textContent)
-</p></details>
-
-### JavaScript
-
-- [ ] **Variables (declaración, asignación, ámbito)**
-
-  <details><summary>Links</summary><p>
-
-  * [Valores, tipos de datos y operadores](https://curriculum.laboratoria.la/es/topics/javascript/basics/values-variables-and-types)
-  * [Variables](https://curriculum.laboratoria.la/es/topics/javascript/basics/variables)
-</p></details>
-
-- [ ] **Uso de condicionales (if-else, switch, operador ternario, lógica booleana)**
-
-  <details><summary>Links</summary><p>
-
-  * [Estructuras condicionales y repetitivas](https://curriculum.laboratoria.la/es/topics/javascript/flow-control/conditionals-and-loops)
-  * [Tomando decisiones en tu código — condicionales - MDN](https://developer.mozilla.org/es/docs/Learn/JavaScript/Building_blocks/conditionals)
-</p></details>
-
-- [ ] **Uso de bucles/ciclos (while, for, for..of)**
-
-  <details><summary>Links</summary><p>
-
-  * [Bucles (Loops)](https://curriculum.laboratoria.la/es/topics/javascript/flow-control/loops)
-  * [Bucles e iteración - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Guide/Loops_and_iteration)
-</p></details>
-
-- [ ] **Funciones (params, args, return)**
-
-  <details><summary>Links</summary><p>
-
-  * [Funciones (control de flujo)](https://curriculum.laboratoria.la/es/topics/javascript/flow-control/functions)
-  * [Funciones clásicas](https://curriculum.laboratoria.la/es/topics/javascript/functions/classic)
-  * [Arrow Functions](https://curriculum.laboratoria.la/es/topics/javascript/functions/arrow)
-  * [Funciones — bloques de código reutilizables - MDN](https://developer.mozilla.org/es/docs/Learn/JavaScript/Building_blocks/Functions)
-</p></details>
-
-- [ ] **Uso de linter (ESLINT)**
-
-- [ ] **Uso de identificadores descriptivos (Nomenclatura y Semántica)**
-
-- [ ] **Diferenciar entre expresiones (expressions) y sentencias (statements)**
-
-#### Tipos de datos
-
-- [ ] **Diferenciar entre tipos de datos primitivos y no primitivos**
-
-- [ ] **Arrays (arreglos)**
-
-  <details><summary>Links</summary><p>
-
-  * [Arreglos](https://curriculum.laboratoria.la/es/topics/javascript/arrays)
-  * [Array - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/)
-  * [Array.prototype.sort() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/sort)
-  * [Array.prototype.forEach() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/forEach)
-  * [Array.prototype.map() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/map)
-  * [Array.prototype.filter() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/filter)
-  * [Array.prototype.reduce() - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Global_Objects/Array/Reduce)
-</p></details>
-
-- [ ] **Objetos (key, value)**
-
-  <details><summary>Links</summary><p>
-
-  * [Objetos en JavaScript](https://curriculum.laboratoria.la/es/topics/javascript/objects/objects)
-</p></details>
-
-#### Testing en Javascript
-
-- [ ] **Pruebas unitarias (unit tests)**
-
-  <details><summary>Links</summary><p>
-
-  * [Empezando con Jest - Documentación oficial](https://jestjs.io/docs/es-ES/getting-started)
-</p></details>
-
-#### Módulos
-
-- [ ] **Módulos de ECMAScript (ES Modules)**
-
-  <details><summary>Links</summary><p>
-
-  * [import - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Statements/import)
-  * [export - MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Reference/Statements/export)
-</p></details>
-
-### Control de Versiones (Git y GitHub)
-
-#### Git
-
-- [ ] **Git: Instalación y configuración**
-
-- [ ] **Git: Control de versiones con git (init, clone, add, commit, status, push, pull, remote)**
-
-- [ ] **Git: Integración de cambios entre ramas (branch, checkout, fetch, merge, reset, rebase, tag)**
-
-#### GitHub
-
-- [ ] **GitHub: Creación de cuenta y repos, configuración de llaves SSH**
-
-- [ ] **GitHub: Despliegue con GitHub Pages**
-
-  <details><summary>Links</summary><p>
-
-  * [Sitio oficial de GitHub Pages](https://pages.github.com/)
-</p></details>
-
-- [ ] **GitHub: Colaboración en Github (branches | forks | pull requests | code review | tags)**
-
-### Centrado en el usuario
-
-- [ ] **Diseñar y desarrollar un producto o servicio poniendo a las usuarias en el centro**
-
-### Diseño de producto
-
-- [ ] **Crear prototipos de alta fidelidad que incluyan interacciones**
-
-- [ ] **Seguir los principios básicos de diseño visual**
-
-### Investigación
-
-- [ ] **Planear y ejecutar testeos de usabilidad de prototipos en distintos niveles de fidelidad**
-
-  <details><summary>Links</summary><p>
-
-  * [Intro a testeos usabilidad](https://coda.io/@bootcamp-laboratoria/contenido-ux/test-de-usabilidad-15)
-  * [Pruebas con Usuarios 1 — ¿Qué, cuándo y para qué testeamos?](https://eugeniacasabona.medium.com/pruebas-con-usuarios-1-qu%C3%A9-cu%C3%A1ndo-y-para-qu%C3%A9-testeamos-7c3a89b4b5e7)
-</p></details>
-
-### AI Prompting
-
-- [ ] **Dando Instrucciones**
-
-  <details><summary>Links</summary><p>
-
-  * [Dando Instrucciones | Learn Prompting: Your Guide to Communicating with AI](https://learnprompting.org/es/docs/basics/instructions)
-</p></details>
-
-- [ ] **Few shot prompting**
-
-  <details><summary>Links</summary><p>
-
-  * [Few shot prompting | Learn Prompting: Your Guide to Communicating with AI](https://learnprompting.org/es/docs/basics/few_shot)
-</p></details>
-
-## 10. Pistas, tips y lecturas complementarias
-
-### Primeros pasos
-
-Súmate al canal de Slack
-[#project-dataverse](https://claseslaboratoria.slack.com/archives/C03MV35EP5M)
-para conversar y pedir ayuda del proyecto.
-
-Antes de empezar a escribir código, debes definir qué deberá hacer el
-producto con base en el conocimiento que puedas obtener de tu usuaria.
-Estas preguntas te pueden ayudar:
-
-* ¿Quiénes son las principales usuarias del producto?
-* ¿Cuáles son los objetivos de estas usuarias en relación con el producto?
-* ¿Cuáles son los datos más relevantes que quieren ver en la interfaz y por qué?
-* ¿Cuándo utilizan o utilizarían el producto?
-* Toda tu investigación previa debe tener como resultado todas las Historias
-  de Usuaria de tu proyecto.
-* No hagas los prototipos de alta fidelidad de todas tus Historias. Comienza
-  solamente por los que se necesiten para tu Sprint 1
-  (semana 1 de trabajo). Más
-  pistas en la guía de organización para el proyecto.
-
-Cuando ya estés lista para codear, te sugerimos empezar de esta manera:
-
-1. Una de las integrantes del equipo debe realizar un :fork_and_knife:
-   [fork](https://help.github.com/articles/fork-a-repo/) del repo de tu cohort,
-   tus _coaches_ te compartirán un _link_ a un repo y te darán acceso de lectura
-   en ese repo. La otra integrante del equipo deber hacer un fork **del
-   repositorio de su compañera** y
-   [configurar](https://gist.github.com/BCasal/026e4c7f5c71418485c1) un `remote`
-   hacia el mismo.
-2. :arrow_down: [Clona](https://help.github.com/articles/cloning-a-repository/)
-   tu _fork_ a tu computadora (copia local).
-3. 📦 Instala las dependencias del proyecto con el comando `npm install`. Esto
-   asume que has instalado [Node.js](https://nodejs.org/) (que incluye [npm](https://docs.npmjs.com/)).
-4. Si todo ha ido bien, deberías poder ejecutar las :traffic_light:
-   pruebas unitarias (unit tests) con el comando `npm test`.
-5. Para ver la interfaz de tu programa en el navegador, usa el comando
-  `npm start` para arrancar el servidor web y dirígete a
-  `http://localhost:5000` en tu navegador.
-6. A codear se ha dicho! :rocket:
-
-### Contenido de referencia
-
-#### Desarrollo Front-end
-
-* [Tópicos en la currícula de Laboratoria](https://curriculum.laboratoria.la/es/web-dev/topics)
-  testing, arreglos, objetos, funciones, DOM en Browser Javascript.
-* [Buscando elementos con querySelector*](https://es.javascript.info/searching-elements-dom)
-* [Objeto del evento](https://es.javascript.info/introduction-browser-events#objeto-del-evento)
-* [Array en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Array)
-* [Array.sort en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Array/sort)
-* [Array.toSorted en MDN](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/toSorted)
-* [Array.map en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Array/map)
-* [Array.filter en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Array/filter)
-* [Array.reduce en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Array/reduce)
-* [Array.forEach en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Array/forEach)
-* [Object.keys en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Object/keys)
-* [Object.entries en MDN](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Objetos_globales/Object/entries)
-* [Atributos de datos](https://developer.mozilla.org/es/docs/Learn/HTML/Howto/Use_data_attributes)
-* [expressions-vs-statements](https://2ality.com/2012/09/expressions-vs-statements.html)
-* [expresión vs sentencia](https://openclassrooms.com/en/courses/4309531-descubre-las-funciones-en-javascript/5108986-diferencia-entre-expresion-y-sentencia)
-* [Datos atómicos vs datos estructurados](https://www.todojs.com/tipos-datos-javascript-es6/)
-* [Módulos: Export](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Sentencias/export)
-* [Módulos: Import](https://developer.mozilla.org/es/docs/Web/JavaScript/Referencia/Sentencias/import)
-* [Diferencia entre array y objetos](https://youtu.be/mJJloQY7A8Y)
-* [¿Cómo puedo recorrer un objeto?](https://youtube.com/01RHn23Bn_0)
-* [`map`, `filter`, `sort` y `reduce` también son métodos para objetos](https://youtu.be/bUl1R2lQvKo)
-* [Diferencia entre expression y statements](https://youtu.be/wlukoWco2zk)
-* [Diferencia entre createElement e innerHTML](https://www.javascripttutorial.net/javascript-dom/javascript-innerhtml-vs-createelement/)
-* [¿Qué es el Scope?](https://youtu.be/s-7C09ymzK8)
-
-#### Herramientas
-
-* [Git](https://git-scm.com/)
-* [GitHub](https://github.com/)
-* [GitHub Pages](https://pages.github.com/)
-* [Para preguntas sobre Git recomendamos ver este playlist](https://www.youtube.com/watch?v=F1EoBbvhaqU&list=PLiAEe0-R7u8k9o3PbT3_QdyoBW_RX8rnV)
-* [Node.js](https://nodejs.org/)
-* [Jest](https://jestjs.io/)
-
-#### Organización del Trabajo
-
-* [Historias de Usuario](https://www.youtube.com/watch?v=ky6wFiF5vMk&t=344s).
-  Ojo que Cris no diferencia _Definición de terminado_ de _Criterios de
-  Aceptación_ y nosotros sí lo haremos. Más detalles en la guía.
-* [Cómo dividir H.U.](https://www.youtube.com/watch?v=Ueq786iZ30I&t=341s)
-
-## 11. Consideraciones para pedir tu Project Feedback
-
-Antes de agendar tu Project Feedback con un coach:
-
-* Cumple con los criterios mínimos de aceptación al ejecutar `npm run test:oas`
-* Cumple con las pruebas unitarias al ejecutar `npm run test` y
-  que tienen una cobertura del 70% de _statements_ (_sentencias_),
-  _functions_ (_funciones_), _lines_ (_líneas_), y _branches_
-* Cumple con las pruebas _end to end_ al ejecutar `npm run test:e2e`
-
-No es necesario que todas las pruebas
-pasen con 100% para poder tener tu Project Feedback.
-El objetivo de los tests no es bloquearte, pero es importante que comprendas
-qué objetivos tienes pendientes y discutas con tu coach si alguno
-de ellos es crucial para lograrlo antes de tu Project Feedback.
-
-A continuación, antes de tu Project Feedback con un coach asegúrate que
-tu proyecto:
-
-* Esta libre de _errores_ de `eslint` al ejecutar `npm run pretest`
-* Está subido a GitHub y desplegado en GitHub Pages
-* Captura de pantalla del prompt utilizado para generar los datos.
-* Tiene un `README.md` con la siguiente:
-  - _Definición del producto_ clara e informativa
-  - Historias de usuario
-  - Un _Diseño de la Interfaz de Usuaria_ (prototipo de alta fidelidad)
-  - El listado de problemas que detectaste a través de tests
-    de usabilidad en el `README.md`
-* Tiene un UI que cumple las funcionalidades:
-  - Muestra lista con datos y/o indicadores
-  - Permite ordenar data por uno o más campos (asc y desc)
-  - Permite filtrar data con base en una condición
-  - Permite limpiar los filtros con un botón
-  - Es _responsive_
-
-Recuerda que debes hacer una autoevaluación de _objetivos de aprendizaje_ y
-_life skills_ desde tu dashboard de estudiante.
+<aside>
+Muchas Gracias por tu interés en nuestro proyecto
+</aside>
\ No newline at end of file
diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 0000000..bb44b48
--- /dev/null
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+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+      "dev": true,
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    }
+  }
+}
diff --git a/package.json b/package.json
index cbc5691..c461dd3 100644
--- a/package.json
+++ b/package.json
@@ -33,7 +33,7 @@
     "eslint": "^8.3.0",
     "gh-pages": "^3.1.0",
     "htmlhint": "^1.0.0",
-    "jest": "^27.0.1",
+    "jest": "^27.5.1",
     "jsdom": "^22.1.0",
     "opener": "^1.5.1",
     "serve": "^14.2.1"
@@ -49,4 +49,4 @@
   "jest": {
     "testEnvironment": "jsdom"
   }
-}
\ No newline at end of file
+}
diff --git a/src/data/dataset.js b/src/data/dataset.js
index 592bf31..b241d9d 100644
--- a/src/data/dataset.js
+++ b/src/data/dataset.js
@@ -1,378 +1,362 @@
 export default [
-  {
-    "id": "ada-lovelace",
-    "name": "Ada Lovelace",
-    "shortDescription": "Pionera en la programación, primera programadora de la historia.",
-    "description": "Una visionaria matemática británica del siglo XIX, es aclamada como la primera programadora de la historia. Su colaboración con Charles Babbage en la creación de la Máquina Analítica la llevó a desarrollar algoritmos, incluyendo el famoso \"algoritmo de Bernoulli\", destinados a ser procesados por una máquina. Su visión pionera la convirtió en una figura fundamental en la informática y la inteligencia artificial. Lovelace demostró que las computadoras podían ir más allá de simples cálculos matemáticos, anticipando un mundo donde la programación sería esencial en la resolución de problemas complejos, dejando una huella imborrable en la ciencia y la tecnología.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/ada-lovelace.jpg",
-    "facts": {
-      "yearOfBirth": "1815",
-      "yearOfDeath": "1852",
-      "birthPlace": "Londres, Reino Unido",
-      "mainField": "Ciencia de la Computación"
+    {
+      "id": "megachasma_pelagios",
+      "name": "Tiburón Megamouth",
+      "shortDescription": "Raro tiburón de aguas profundas.",
+      "nombreDeLaEspecie": "Megachasma pelagios",
+      "imageUrl": "https://critter.science/wp-content/uploads/2021/01/ms1a-1180x520.jpg",
+      "description": "Descubierto en 1976, el tiburón Megamouth es una especie poco común con solo unos pocos avistamientos. Posee una mandíbula peculiar que se abre ampliamente para alimentarse de plancton y pequeños peces. Vive en aguas profundas y su hábitat se extiende por todo el mundo, aunque se desconoce su población exacta. A pesar de su tamaño, es difícil de rastrear debido a su hábitat inaccesible y su comportamiento nocturno. Sin embargo, su papel en el ecosistema marino es crucial para mantener el equilibrio.",
+      "facts": {
+        "approximateLongevity": 100,
+        "locationOfTheSpecie": "Aguas profundas",
+        "conduct": "Mayormente solitario, se alimenta principalmente por la noche",
+      },
+      "nutrition": "Plancton, pequeños peces",
+      "maximumSizeMtr": 6
     },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/genera-una-imagen-de-ada-lovelace2c-la-primera-prog/650a1eff8ff04b88833d5cdef0309441"
-    }
-  },
-  {
-    "id": "emmy-noether",
-    "name": "Emmy Noether",
-    "shortDescription": "Matemática destacada, teorema fundamental en álgebra abstracta.",
-    "description": "Una brillante matemática alemana, revolucionó la física teórica con sus contribuciones al teorema de conservación de la energía y el teorema de Noether, fundamentales en la teoría de la relatividad y la mecánica cuántica. A pesar de los obstáculos que enfrentó como mujer en la academia, sus investigaciones en álgebra abstracta y teoría de grupos son fundamentales en la física moderna. Su capacidad para unificar conceptos matemáticos y físicos marcó un hito en la historia de la ciencia, allanando el camino para futuras generaciones de científicas.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/emmy-noether.jpg",
-    "facts": {
-      "yearOfBirth": "1882",
-      "yearOfDeath": "1935",
-      "birthPlace": "Erlangen, Alemania",
-      "mainField": "Matemáticas"
-    },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/create-an-image-of-of-a-german-woman2c-a-pioneering/6510ddb1e8254b928b8f8f1d5e95fea4"
-    }
-  },
-  {
-    "id": "hypatia-de-alejandria",
-    "name": "Hypatia de Alejandría",
-    "shortDescription": "Matemática y filósofa en la antigua Alejandría.",
-    "description": "Filósofa y matemática en la antigua Alejandría, desafió las normas de género de su época al destacar en una sociedad dominada por hombres. Su legado incluye importantes contribuciones a la geometría y la astronomía, así como su destacado papel como maestra y defensora del conocimiento en una época de agitación política. Hypatia demostró que las mujeres podían sobresalir en campos intelectuales y su valentía al mantener sus creencias filosóficas la convierte en un símbolo de resistencia y sabiduría en la historia de la ciencia.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/hypatia-de-alejandria.jpg",
-    "facts": {
-      "yearOfBirth": "circa 360",
-      "yearOfDeath": "415",
-      "birthPlace": "Alejandría, Egipto",
-      "mainField": "Matemáticas, Filosofía"
+    {
+      "id": "rhincodon_typus",
+      "name": "Tiburón Ballena",
+      "nombreDeLaEspecie": "Rhincodon typus",
+      "imageUrl": "https://i.pinimg.com/736x/08/17/ad/0817ad97556b44950564c7ec4c1cb10d.jpg",
+      "shortDescription": "El pez más grande del océano.",
+      "description": "El tiburón ballena es una especie asombrosa, siendo el pez más grande del océano. Con un tamaño que puede superar los 12 metros, es una especie inofensiva que se alimenta principalmente de plancton. Se le encuentra en aguas tropicales y subtropicales alrededor del mundo. A menudo es avistado en áreas de alimentación cerca de la superficie del océano, donde se alimenta de forma pacífica. Su presencia indica la salud del ecosistema marino y su conservación es fundamental para mantener la biodiversidad.",
+      "facts": {
+        "approximateLongevity": 70,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Solitario, se alimenta filtrando grandes cantidades de agua"
+      },
+      "nutrition": "Plancton",
+      "maximumSizeMtr": 14
     },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/create-a-vivid-digital-artwork-or-painting-that-de/6510df0ebe1a4807af22175452761e1a"
-    }
-  },
-  {
-    "id": "marjorie-lee-browne",
-    "name": "Marjorie Lee Browne",
-    "shortDescription": "Matemática, contribuyó a la teoría de números.",
-    "description": "Matemática estadounidense, destacó en una época en la que las mujeres afroamericanas enfrentaban múltiples barreras en la educación superior. No solo obtuvo su doctorado en matemáticas, sino que también se convirtió en una destacada educadora, promoviendo la diversidad en las ciencias matemáticas y desafiando la discriminación racial y de género. Su compromiso con la educación y su capacidad para inspirar a futuras generaciones la convierten en un modelo a seguir para las mujeres en la ciencia, dejando una huella perdurable en la historia académica.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/marjorie-lee-browne.jpg",
-    "facts": {
-      "yearOfBirth": "1914",
-      "yearOfDeath": "1979",
-      "birthPlace": "Memphis, Estados Unidos",
-      "mainField": "Matemáticas"
+    {
+      "id": "alopias_vulpinus",
+      "name": "Tiburón Zorro",
+      "nombreDeLaEspecie": "Alopias vulpinus",
+      "imageUrl": "https://i.pinimg.com/564x/ba/18/1c/ba181c45afb615eeb8ddd135de93f802.jpg",
+      "shortDescription": "Con una cola alargada en forma de látigo.",
+      "description": "El tiburón zorro es conocido por su cola alargada en forma de látigo, que utiliza para golpear a sus presas. Es una especie migratoria que se puede encontrar en aguas templadas y tropicales en todo el mundo. A menudo se le observa saltando fuera del agua. Su apariencia es única y su conducta juguetón lo convierten en un favorito entre los buceadores y observadores de tiburones. Sin embargo, la pesca indiscriminada amenaza su supervivencia y la de otros depredadores marinos.",
+      "facts": {
+        "approximateLongevity": 24,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Activo de día como de noche, se le observa fuera del agua"
+      },
+      "nutrition": "Peces óseos, calamares",
+      "maximumSizeMtr": 3.5
     },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/design-an-inspiring-and-historically-accurate-imag/6510df7e7bb745f69d67f695441607a8"
-    }
-  },
-  {
-    "id": "shakuntala-devi",
-    "name": "Shakuntala Devi",
-    "shortDescription": "Matemática prodigio, conocida como la 'Calculadora Humana'.",
-    "description": "Conocida como \"la bruja de las matemáticas\" de la India, dejó una marca indeleble en el mundo de los números. Su capacidad mental asombrosa la llevó a resolver complejos cálculos matemáticos mentalmente en cuestión de segundos, estableciendo récords mundiales. Además de su talento innato, Devi promovió activamente la educación matemática y luchó por la igualdad de género en un país donde las mujeres enfrentaban desafíos en la ciencia y la educación. Su legado destaca el poder de la mente humana y la importancia de la igualdad de oportunidades en la ciencia.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/shakuntala-devi.jpg",
-    "facts": {
-      "yearOfBirth": "1929",
-      "yearOfDeath": "2013",
-      "birthPlace": "Bangalore, India",
-      "mainField": "Matemáticas"
+    {
+      "id": "sphyrna_lewini",
+      "name": "Tiburón Martillo",
+      "nombreDeLaEspecie": "Sphyrna lewini",
+      "imageUrl": "https://i.pinimg.com/564x/45/7a/62/457a62fcf11d5e0cf321c6ced6d83224.jpg",
+      "shortDescription": "Con su distintiva cabeza en forma de martillo.",
+      "description": " El tiburón martillo es una especie fácilmente reconocible por su cabeza en forma de martillo, la cual tiene varias funciones, incluida una mayor sensibilidad electromagnética y un mejor campo visual. Se les puede encontrar en aguas tropicales y subtropicales, y son conocidos por sus migraciones estacionales. A pesar de su aspecto intimidante, rara vez representa una amenaza para los humanos, ya que es más probable que huya cuando se encuentra con buceadores. Su conservación es vital para mantener la biodiversidad marina.",
+      "facts": {
+        "approximateLongevity": 20,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Socialmente activo, a menudo se les ve en grupos pequeños"
+      },
+      "nutrition": "Peces pequeños, calamares, crustáceos",
+      "maximumSizeMtr": 4
     },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/indian-woman-writing-math-problems-in-a-blackbard-/6510e19f3db54e14b365b7e8dc5045f6"
-    }
-  },
-  {
-    "id": "sofia-kovalevskaya",
-    "name": "Sofia Kovalevskaya",
-    "shortDescription": "Matemática y escritora, contribuyó a la teoría de funciones.",
-    "description": "Matemática rusa del siglo XIX, dejó una marca indeleble en la ciencia del siglo XIX al desafiar las barreras de género. Como matemática rusa, superó las restricciones sociales de su época para convertirse en la primera mujer en obtener un doctorado en matemáticas en Europa. Sus contribuciones a la teoría de las ecuaciones diferenciales y la mecánica revolucionaron la disciplina, abriendo nuevas perspectivas en el análisis matemático. Su destacada membresía en la Academia de Ciencias de Suecia marcó un hito en la historia de las mujeres en la ciencia.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/sofia-kovalevskaya.jpg",
-    "facts": {
-      "yearOfBirth": "1850",
-      "yearOfDeath": "1891",
-      "birthPlace": "Moscú, Rusia",
-      "mainField": "Matemáticas"
+    {
+      "id": "chlamydoselachus_anguineus",
+      "name": "Quimera",
+      "nombreDeLaEspecie": "Chlamydoselachus anguineus",
+      "imageUrl": "https://i.pinimg.com/564x/9f/d8/db/9fd8db121aa26f0faabb523a42790523.jpg",
+      "shortDescription": "Una especie primitiva de tiburón.",
+      "description": "La quimera, también conocida como tiburón duende, es una especie primitiva de tiburón con características únicas, como aletas pectorales que parecen alas. Habita en profundidades extremas, hasta 2,500 metros bajo la superficie. Se alimenta principalmente de peces y invertebrados. Aunque raramente se encuentra en pesquerías comerciales, su captura incidental representa una amenaza para su población y se le considera vulnerable según la Lista Roja de la UICN. La protección de su hábitat es esencial para su supervivencia a largo plazo.",
+      "facts": {
+        "approximateLongevity": 28,
+        "locationOfTheSpecie": "Aguas profundas",
+        "conduct": "Conocido por su hábitat inaccesible, se cree que es solitario"
+      },
+      "nutrition": "Peces, cangrejos, moluscos",
+      "maximumSizeMtr": 1.5
     },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/indian-woman-writing-math-problems-in-a-blackbard-/6510e19f3db54e14b365b7e8dc5045f6"
-    }
-  },
-  {
-    "id": "yoko-shimomura",
-    "name": "Yoko Shimomura",
-    "shortDescription": "Compositora de música, destacada en la industria de los videojuegos.",
-    "description": "Compositora japonesa, es una figura destacada en la ciencia de la música y el arte sonoro. Aunque no se dedica a la ciencia en el sentido tradicional, su trabajo en la composición musical ha requerido un profundo entendimiento de la teoría musical y la tecnología de audio. Ha contribuido de manera significativa a la industria de los videojuegos, componiendo icónicas bandas sonoras que han enriquecido la experiencia de juego. Su éxito en un campo donde las mujeres estaban subrepresentadas la convierte en un modelo a seguir, incluso en campos no convencionales como la composición musical.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/yoko-shimomura.jpg",
-    "facts": {
-      "yearOfBirth": "1967",
-      "birthPlace": "Hyogo, Japón",
-      "mainField": "Composición Musical, Video Juegos"
+    {
+      "id": "lamna_nasus",
+      "name": "Tiburón porbeagle",
+      "nombreDeLaEspecie": "Lamna nasus",
+      "imageUrl": "https://i.pinimg.com/564x/cd/e9/68/cde96813c3fe894fa147d591eabac710.jpg",
+      "shortDescription": "Tiburón de aguas frías con aletas distintivas y comportamiento migratorio.",
+      "description": "El tiburón porbeagle es conocido por su migración estacional, donde viaja grandes distancias para alimentarse y reproducirse. Este tiburón es vital para el ecosistema marino, regulando las poblaciones de peces. Son depredadores efectivos y su presencia indica la salud del océano. Además, son capturados por la pesca comercial y deportiva, lo que ha llevado a preocupaciones sobre su conservación. Se han implementado medidas de manejo para proteger su población, pero la pesca accidental sigue siendo una amenaza. La investigación continua es crucial para garantizar su supervivencia.",
+      "facts": {
+        "approximateLongevity": 40,
+        "locationOfTheSpecie": "Océano Atlántico",
+        "conduct": "Migratorio, cazador solitario o en pequeños grupos."
+      },
+      "nutrition": "Carnívoro. Se alimenta principalmente de peces pequeños, calamares y crustáceos.",
+      "maximumSizeMtr": 3.5
     },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/yoko-shimomura-making-music-for-a-video-game-in-19/6510e40dd1eb45d0906e8c1f4bb601d3"
-    }
-  },
-  {
-    "id": "maryam-mirzakhani",
-    "name": "Maryam Mirzakhani",
-    "shortDescription": "Matemática, ganadora del Premio Fields.",
-    "description": "Matemática iraní, hizo historia al convertirse en la primera mujer en ganar la Medalla Fields, el premio más prestigioso en matemáticas. Sus investigaciones en la geometría de superficies y la teoría de las superficies de Riemann han tenido un impacto duradero en la matemática pura. A lo largo de su carrera, Mirzakhani inspiró a muchas mujeres a perseguir carreras en ciencia y matemáticas, derribando las barreras de género. Su enfoque innovador y su capacidad para resolver problemas complejos la convierten en un modelo a seguir para la comunidad científica y en un símbolo de la excelencia matemática.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/maryam-mirzakhani.jpg",
-    "facts": {
-      "yearOfBirth": "1977",
-      "yearOfDeath": "2017",
-      "birthPlace": "Teherán, Irán",
-      "mainField": "Matemáticas"
+    {
+      "id": "prionace_glauca",
+      "name": "Tiburón azul",
+      "nombreDeLaEspecie": "Prionace glauca",
+      "imageUrl": "https://theperfectworldfoundation.org/app/uploads/2015/05/Prionace_glauca_1.jpg",
+      "shortDescription": "Tiburón rápido y ágil, reconocido por su coloración azul metálico.",
+      "description": "El tiburón azul es uno de los depredadores más rápidos del océano, capaz de alcanzar velocidades de hasta 40 mph. Realiza migraciones impresionantes a lo largo de vastas distancias, lo que lo hace un componente vital del ecosistema marino global. Aunque generalmente solitario, puede formar grupos temporales para alimentarse. Esta especie enfrenta numerosas amenazas, incluida la sobrepesca y la degradación del hábitat. La conservación del tiburón azul es crucial para mantener el equilibrio de los océanos y la biodiversidad marina.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Océanos en todo el mundo",
+        "conduct": "Migratorio, depredador solitario."
+      },
+      "nutrition": "Carnívoro. Se alimenta de peces, calamares, crustáceos y ocasionalmente carroña.",
+      "maximumSizeMtr": 3.8
     },
-    "extraInfo": {
-      "imageSource": "https://chalkdustmagazine.com/features/mathematics-maryam-mirzakhani/"
-    }
-  },
-  {
-    "id": "adele-goldberg",
-    "name": "Adele Goldberg",
-    "shortDescription": "Informática pionera, co-creadora del lenguaje de programación Smalltalk.",
-    "description": "Informática estadounidense reconocida por su influyente trabajo en la investigación y desarrollo de la programación orientada a objetos. Su contribución más destacada es la creación del lenguaje de programación Smalltalk, que revolucionó la forma en que se desarrollan software y sistemas informáticos. Goldberg ha sido una defensora incansable de la usabilidad y la accesibilidad en la informática, asegurando que las aplicaciones informáticas sean más amigables para los usuarios. Su trabajo ha allanado el camino para una programación más intuitiva y eficiente, y su legado perdura en la industria de la tecnología.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/adele-goldberg.jpg",
-    "facts": {
-      "yearOfBirth": "1945",
-      "birthPlace": "Chicago, Estados Unidos",
-      "mainField": "Ciencias de la Computación"
+    {
+      "id": "carcharhinus_falciformis",
+      "name": "Tiburón sedoso",
+      "nombreDeLaEspecie": "Carcharhinus falciformis",
+      "imageUrl": "https://www.guillenphoto.com/data/blog/2011/021-requin-soyeux/images/silky-shark-red-sea-01.jpg",
+      "shortDescription": "Tiburón ágil y curioso, con piel lisa y brillante.",
+      "description": "El tiburón sedoso, a menudo encontrado en aguas tropicales y subtropicales, es conocido por su piel suave y brillante. A pesar de su apariencia inofensiva, es un depredador poderoso que se encuentra en la cima de la cadena alimentaria marina. Su curiosidad natural lo lleva a investigar objetos desconocidos en su entorno, contribuyendo así a la comprensión de su hábitat y comportamiento. Además de ser cazado por su carne y aletas, también enfrenta amenazas debido a la pesca incidental y la degradación del hábitat.",
+      "facts": {
+        "approximateLongevity": 25,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Activo durante el día, cazador solitario o en grupos pequeños."
+      },
+      "nutrition": "Carnívoro. Se alimenta de peces, cefalópodos, crustáceos y ocasionalmente tortugas marinas.",
+      "maximumSizeMtr": 2.5
     },
-    "extraInfo": {
-      "imageSource": "https://pionerasinformaticas.ujaen.es/en/computer-women-pioneers/adele-goldberg-en"
-    }
-  },
-  {
-    "id": "barbara-liskov",
-    "name": "Barbara Liskov",
-    "shortDescription": "Científica de la computación, pionera en programación orientada a objetos.",
-    "description": "Pionera de la informática, es conocida por su trabajo en la programación y la arquitectura de sistemas distribuidos. Fue la primera mujer en obtener un doctorado en ciencias de la computación en el Instituto de Tecnología de Stanford y desarrolló el lenguaje de programación CLU, que estableció fundamentos para la programación orientada a objetos. Liskov ha dejado una marca indeleble en la industria de la tecnología al liderar avances en sistemas de almacenamiento y seguridad informática. Su enfoque en la fiabilidad y la robustez ha influido en el diseño de sistemas críticos en todo el mundo.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/barbara-liskov.jpg",
-    "facts": {
-      "yearOfBirth": "1939",
-      "birthPlace": "Los Angeles, Estados Unidos",
-      "mainField": "Ciencia de la Computación"
+    {
+      "id": "sphyrna_tiburo",
+      "name": "Tiburón martillo común",
+      "nombreDeLaEspecie": "Sphyrna tiburo",
+      "imageUrl": "https://i.pinimg.com/564x/ef/98/38/ef98386bace462ef61d47f1746287add.jpg",
+      "shortDescription": "Tiburón con una cabeza distintiva en forma de martillo.",
+      "description": "El tiburón martillo común se destaca por su cabeza única en forma de martillo, que le proporciona una mayor área sensorial para detectar presas. Son nadadores ágiles y se encuentran comúnmente en aguas costeras poco profundas. Se cree que la forma de su cabeza juega un papel en la mejora de la visión y la capacidad de detección de presas, lo que les da una ventaja evolutiva en la caza. Su distribución global y su papel como depredador tope lo convierten en una especie clave para la salud de los ecosistemas marinos.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Social, a menudo se agrupa en cardúmenes."
+      },
+      "nutrition": "Carnívoro. Se alimenta principalmente de peces, pulpos, cangrejos y rayas.",
+      "maximumSizeMtr": 3
     },
-    "extraInfo": {
-      "imageSource": "https://medium.com/a-computer-of-ones-own/barbara-liskov-inventor-of-abstract-data-types-9f8908fdcf86"
-    }
-  },
-  {
-    "id": "grace-hopper",
-    "name": "Grace Hopper",
-    "shortDescription": "Científica de la computación, creadora del primer compilador.",
-    "description": "Una de las pioneras de la informática, es famosa por su contribución al desarrollo del primer compilador y al lenguaje de programación COBOL. Además, desafió los estereotipos de género en la década de 1940 al unirse a la Marina de los Estados Unidos y convertirse en la primera programadora de la computadora Harvard Mark I. Su legado abarca la creación de conceptos cruciales como la \"depuración de software\" y su influencia en el desarrollo de la informática moderna, estableciendo estándares para la programación de alto nivel y la innovación tecnológica.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/grace-hopper.jpg",
-    "facts": {
-      "yearOfBirth": "1906",
-      "yearOfDeath": "1992",
-      "birthPlace": "Nueva York, Estados Unidos",
-      "mainField": "Ciencia de la Computación"
+    {
+      "id": "triakis_semifasciata",
+      "name": "Tiburón leopardo",
+      "nombreDeLaEspecie": "Triakis semifasciata",
+      "imageUrl": "https://i.pinimg.com/564x/b6/20/f4/b620f452484ecb0a640ef2f17ee9e6bf.jpg",
+      "shortDescription": "Tiburón con manchas oscuras en un fondo claro, parecido al pelaje de un leopardo.",
+      "description": "El tiburón leopardo, con su distintivo patrón de manchas, es una especie común en aguas costeras poco profundas. A menudo se encuentra descansando en el fondo marino durante el día y se vuelve más activo durante la noche para cazar. Es un depredador oportunista que se alimenta de una variedad de presas, desde peces pequeños hasta cangrejos y calamares. Su adaptabilidad le permite sobrevivir en diversos entornos marinos, lo que lo convierte en una especie exitosa y resistente. A pesar de su relativa abundancia, la presión humana sigue siendo una amenaza para su conservación.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Nocturno, descansa en el fondo durante el día."
+      },
+      "nutrition": "Carnívoro. Se alimenta de peces óseos, cefalópodos, crustáceos y a veces carroña.",
+      "maximumSizeMtr": 1.8
     },
-    "extraInfo": {
-      "imageSource": "https://photos.com/featured/grace-hopper-with-early-computer-bettmann.html"
-    }
-  },
-  {
-    "id": "margaret-hamilton",
-    "name": "Margaret Hamilton",
-    "shortDescription": "Científica de la computación, lideró desarrollo de software para Apollo 11.",
-    "description": "Destacada científica de la computación que desempeñó un papel fundamental en el programa Apollo de la NASA. Fue directora de la División de Ingeniería de Software en el Laboratorio de Instrumentación del MIT, donde desarrolló el concepto de \"ingeniería de software\". Su liderazgo en el desarrollo del software de vuelo para las misiones Apollo fue fundamental para el éxito de la llegada del hombre a la Luna. Hamilton es un ejemplo de cómo la tecnología y la ciencia pueden alcanzar logros extraordinarios cuando se combinan con un enfoque innovador y una visión audaz.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/margaret-hamilton.jpg",
-    "facts": {
-      "yearOfBirth": "1936",
-      "birthPlace": "Paoli, Indiana, Estados Unidos",
-      "mainField": "Ciencia de la Computación"
+    {
+      "id": "isistius_brasiliensis",
+      "name": "Tiburón linterna",
+      "nombreDeLaEspecie": "Isistius brasiliensis",
+      "imageUrl": "https://fishesofaustralia.net.au/Images/Image/IsistiusBrasiliens4RobZugaro.jpg",
+      "shortDescription": "Pequeño tiburón bioluminiscente de aguas profundas.",
+      "description": "El tiburón linterna (Isistius brasiliensis) es una especie fascinante que habita en las profundidades abisales de los océanos. Dotado de órganos fotóforos, emite una luz tenue que le sirve para atraer a sus presas en la oscuridad. Su mandíbula prominente alberga filas de pequeños dientes afilados, facilitando la captura de peces y calamares. A pesar de su diminuto tamaño, desempeña un papel crucial en el equilibrio ecológico de su hábitat. Este tiburón nocturno, solitario por naturaleza, representa un enigma biológico para los científicos marinos, quienes continúan estudiando su comportamiento y adaptaciones únicas.",
+      "facts": {
+        "approximateLongevity": 25,
+        "locationOfTheSpecie": "Aguas profundas",
+        "conduct": "Solitario, caza principalmente durante la noche."
+      },
+      "nutrition": "Se alimenta principalmente de peces de aguas profundas y calamares.",
+      "maximumSizeMtr": 0.5
     },
-    "extraInfo": {
-      "imageSource": "https://odetta.ai/blogs/margaret-hamilton-the-first-software-engineer"
-    }
-  },
-  {
-    "id": "radia-perlman",
-    "name": "Radia Perlman",
-    "shortDescription": "Ingeniera de redes, inventora del algoritmo Spanning Tree.",
-    "description": "Científica de la computación estadounidense, ha dejado una marca indeleble en el mundo de las redes informáticas y la seguridad. Conocida como \"la madre de Internet\", su invención del algoritmo Spanning Tree Protocol (STP) revolucionó la conectividad de redes y sentó las bases para la infraestructura de Internet moderna. A pesar de operar en un campo dominado por hombres, Perlman ha demostrado que las mujeres pueden liderar avances tecnológicos vitales. Su compromiso con la resiliencia de las redes y la ciberseguridad ha influido en la estabilidad y confiabilidad de la comunicación en línea.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/radia-perlman.jpg",
-    "facts": {
-      "yearOfBirth": "1951",
-      "birthPlace": "Portsmouth, Estados Unidos",
-      "mainField": "Ciencia de la Computación"
+    {
+      "id": "etmopterus_spinax",
+      "name": "Tiburón linterna negro",
+      "nombreDeLaEspecie": "Etmopterus spinax",
+      "imageUrl": "https://i.pinimg.com/564x/19/b5/73/19b573c0e319d6d3ea156dc93a9d3391.jpg",
+      "shortDescription": "Tiburón pequeño de aguas profundas con bioluminiscencia en su piel.",
+      "description": "El tiburón linterna negro (Etmopterus spinax) es una criatura asombrosa de las profundidades marinas. Su piel oscura, punteada con puntos luminosos, le otorga un aspecto misterioso. Este depredador nocturno se aventura en las frías aguas del Atlántico, cazando pequeños peces y crustáceos con astucia. A pesar de su tamaño modesto, su longevidad sorprende a los científicos, pudiendo alcanzar hasta medio siglo de vida. Adaptado a la vida en las tinieblas del abismo, el tiburón linterna negro es un testimonio de la diversidad y la maravilla de los océanos.",
+      "facts": {
+        "approximateLongevity": 50,
+        "locationOfTheSpecie": "Océano Atlántico",
+        "conduct": "Nocturno, se alimenta de pequeños peces y crustáceos."
+      },
+      "nutrition": "Se alimenta principalmente de peces, calamares y crustáceos.",
+      "maximumSizeMtr": 0.60
     },
-    "extraInfo": {
-      "imageSource": "https://hackaday.com/2018/05/29/spanning-the-tree-dr-radia-perlman-untangling-networks/"
-    }
-  },
-  {
-    "id": "shafi-goldwasser",
-    "name": "Shafi Goldwasser",
-    "shortDescription": "Científica de la computación, ganadora del Premio Turing.",
-    "description": "Es una destacada criptógrafa y científica de la computación que ha contribuido significativamente a la teoría de la computación y la seguridad de la información. Su trabajo en criptografía de probabilidad y complejidad computacional ha sentado las bases para la seguridad en línea y la privacidad de datos en un mundo cada vez más digitalizado. Goldwasser es un ejemplo de cómo la ciencia de la computación puede abordar desafíos contemporáneos y proteger la información en la era de la información.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/shafi-goldwasser.jpg",
-    "facts": {
-      "yearOfBirth": "1958",
-      "birthPlace": "Nueva York, Estados Unidos",
-      "mainField": "Ciencia de la Computación"
+    {
+      "id": "heterodontus_francisci",
+      "name": "Tiburón duende",
+      "nombreDeLaEspecie": "Heterodontus francisci",
+      "imageUrl": "https://i.pinimg.com/564x/08/03/3b/08033bb96ad72d468fd5046bd0729310.jpg",
+      "shortDescription": "Tiburón de apariencia única con un hocico alargado.",
+      "description": "El tiburón duende (Heterodontus francisci) es una joya de los arrecifes de coral del Pacífico. Reconocido por su inconfundible hocico largo y sus aletas puntiagudas, este tiburón es un maestro de la caza entre las grietas rocosas. A pesar de su apariencia intimidante, su dieta es relativamente inofensiva, compuesta principalmente por crustáceos y moluscos. Su longevidad, de hasta un cuarto de siglo, permite que esta especie sea un componente vital de los delicados ecosistemas coralinos. El tiburón duende, una maravilla de la naturaleza, continúa fascinando a científicos y aficionados por igual.",
+      "facts": {
+        "approximateLongevity": 25,
+        "locationOfTheSpecie": "Océano Pacífico",
+        "conduct": "Mayormente solitario, activo durante la noche."
+      },
+      "nutrition": "Se alimenta principalmente de crustáceos, moluscos y pequeños peces.",
+      "maximumSizeMtr": 1
     },
-    "extraInfo": {
-      "imageSource": "https://www.jahresbericht2019.unibe.ch/successes_2019/einstein_lectures/index_eng.html"
-    }
-  },
-  {
-    "id": "chien-shiung-wu",
-    "name": "Chien-Shiung Wu",
-    "shortDescription": "Física experimental, contribuyó a la física nuclear.",
-    "description": "Física experimental de origen chino, desafiando los prejuicios de género y nacionalidad, realizó experimentos fundamentales en física de partículas y contribuyó significativamente a la comprensión de la desintegración beta. Su famoso experimento \"Wu\" refutó la paridad en la física de partículas, lo que cambió la forma en que los científicos comprenden las fuerzas fundamentales de la naturaleza. Wu demostró que el talento y la perseverancia pueden superar cualquier barrera, y su legado sigue siendo un faro de inspiración para científicas en todo el mundo.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/chien-shiung-wu.jpg",
-    "facts": {
-      "yearOfBirth": "1912",
-      "yearOfDeath": "1997",
-      "birthPlace": "Liuhe, Taicang, China",
-      "mainField": "Física"
+    {
+      "id": "sphyrna_mokarran",
+      "name": "Tiburón martillo gigante",
+      "nombreDeLaEspecie": "Sphyrna mokarran",
+      "imageUrl": "https://i.pinimg.com/564x/cb/6c/15/cb6c15e6292ea308a7468d47e21f2e8b.jpg",
+      "shortDescription": "Impresionante tiburón con cabeza en forma de martillo.",
+      "description": "El tiburón martillo gigante (Sphyrna mokarran) es una maravilla evolutiva de los océanos tropicales y subtropicales. Su cabeza única, en forma de martillo, no solo le proporciona una visión panorámica excepcional, sino que también mejora su capacidad de detección de presas. Este depredador ágil y social forma grupos migratorios que recorren vastas distancias en busca de alimento. Su dieta variada incluye peces óseos, rayas y calamares. A pesar de su estatus de superdepredador, el tiburón martillo gigante enfrenta amenazas como la pesca indiscriminada y la degradación del hábitat.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Nómada, viaja largas distancias en busca de alimento."
+      },
+      "nutrition": "Se alimenta principalmente de peces óseos, rayas y calamares.",
+      "maximumSizeMtr": 6
     },
-    "extraInfo": {
-      "imageSource": "https://www.thoughtco.com/chien-shiung-wu-biography-3530366"
-    }
-  },
-  {
-    "id": "hedy-lamarr",
-    "name": "Hedy Lamarr",
-    "shortDescription": "Actriz e inventora, contribuyó al desarrollo de la tecnología de espectro ensanchado.",
-    "description": "Actriz austroamericana y científica, fue una mente brillante en la intersección de la tecnología y el entretenimiento. Junto con el compositor George Antheil, inventó un sistema de comunicación secreta durante la Segunda Guerra Mundial que sentó las bases para la tecnología de espectro ensanchado y la comunicación inalámbrica moderna. Lamarr demostró que las mujeres pueden destacar tanto en el cine como en la ciencia, y su legado como inventora ha sido fundamental para el desarrollo de la tecnología de comunicación inalámbrica que usamos en la actualidad.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/hedy-lamarr.jpg",
-    "facts": {
-      "yearOfBirth": "1914",
-      "yearOfDeath": "2000",
-      "birthPlace": "Viena, Austria",
-      "mainField": "Actuación, Física"
+    {
+      "id": "carcharhinus_leucas",
+      "name": "Tiburón toro",
+      "nombreDeLaEspecie": "Carcharhinus leucas",
+      "imageUrl": "https://www.floridamuseum.ufl.edu/wp-content/uploads/sites/66/2018/08/DSnyder_Carcharhinus_leucas_GreatBahamaBank_Bahamas_DBS_4868-003.jpg",
+      "shortDescription": "Tiburón robusto conocido por su agresividad y adaptabilidad.",
+      "description": "El tiburón toro (Carcharhinus leucas) es un formidable depredador que prospera en una amplia gama de hábitats, desde aguas costeras hasta ríos de agua dulce. Con su cuerpo robusto y su reputación de agresividad, el tiburón toro es un cazador eficiente que se alimenta de una variedad de presas, incluidos peces, crustáceos y mamíferos marinos. Su capacidad para sobrevivir en aguas dulces lo hace único entre los tiburones. A pesar de ser temido por los bañistas y pescadores, el tiburón toro desempeña un papel vital en el equilibrio ecológico de los ecosistemas acuáticos que habita.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Agresivo cuando se siente amenazado, se alimenta por la noche."
+      },
+      "nutrition": "Se alimenta principalmente de peces, crustáceos, tortugas marinas y aves marinas.",
+      "maximumSizeMtr": 3.5
     },
-    "extraInfo": {
-      "imageSource": "https://www.sparkfun.com/news/6147"
-    }
-  },
-  {
-    "id": "maria-goeppert-mayer",
-    "name": "Maria Goeppert Mayer",
-    "shortDescription": "Física teórica, ganadora del Premio Nobel de Física.",
-    "description": "Física teórica alemana-estadounidense, dejó una profunda huella en la física nuclear y la mecánica cuántica. Fue la segunda mujer en recibir el Premio Nobel de Física y su trabajo pionero en la estructura de capas nucleares revolucionó nuestra comprensión de los núcleos atómicos. A pesar de las barreras de género en la academia, su dedicación y talento la llevaron a contribuir significativamente a la teoría nuclear, abriendo el camino para futuras investigadoras en un campo dominado por hombres. Maria Goeppert Mayer es un ejemplo inspirador de excelencia científica y perseverancia en la búsqueda del conocimiento.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/maria-goeppert-mayer.jpg",
-    "facts": {
-      "yearOfBirth": "1906",
-      "yearOfDeath": "1972",
-      "birthPlace": "Kattowitz, Alemania",
-      "mainField": "Física"
+    {
+      "id": "sphyrna_tudes",
+      "name": "Tiburón martillo común",
+      "nombreDeLaEspecie": "Sphyrna tudes",
+      "imageUrl": "https://laguna-akul.ru/upload/akulinfo/vsevidy/42-sphyrna.jpg",
+      "shortDescription": "Tiburón con cabeza en forma de martillo, ampliamente distribuido en aguas tropicales y templadas.",
+      "description": "El tiburón martillo común, Sphyrna tudes, es conocido por su distintiva cabeza en forma de martillo, que le brinda ventajas sensoriales. Su esperanza de vida puede superar los 30 años. Habita en áreas costeras y en alta mar, donde forma grupos sociales. Son depredadores oportunistas que se alimentan principalmente de peces óseos y calamares. Los tiburones martillo común pueden llegar a medir hasta 4 metros de longitud. Su población está amenazada por la pesca excesiva y la degradación del hábitat.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Forman grupos sociales, son depredadores oportunistas"
+      },
+      "nutrition": "Principalmente peces óseos y calamares.",
+      "maximumSizeMtr": 4
     },
-    "extraInfo": {
-      "imageSource": "https://www.wsemexhibit.org/maria-goeppert-mayer.html"
-    }
-  },
-  {
-    "id": "lise-meitner",
-    "name": "Lise Meitner",
-    "shortDescription": "Física nuclear, contribuyó a la teoría de la fisión nuclear.",
-    "description": "Física austriaca-sueca, dejó un legado imborrable en la física nuclear y la radioquímica. A pesar de enfrentar obstáculos de género en una era dominada por hombres, colaboró con Otto Hahn en el descubrimiento de la fisión nuclear, un avance revolucionario. Aunque no compartió el Premio Nobel por este logro, su contribución fue crucial para comprender la energía nuclear y la física de partículas. Su determinación y pasión por la ciencia han inspirado a generaciones de científicas. Lise Meitner es un símbolo perdurable de la perseverancia femenina y el impacto duradero que las mujeres pueden tener en la ciencia.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/lise-meitner.jpg",
-    "facts": {
-      "yearOfBirth": "1878",
-      "yearOfDeath": "1968",
-      "birthPlace": "Viena, Austria",
-      "mainField": "Física"
+    {
+      "id": "euprotomicroides_zantedeschia",
+      "name": "Tiburón linterna del Pacífico",
+      "nombreDeLaEspecie": "Euprotomicroides zantedeschia",
+      "imageUrl": "https://sharksinfo.com/wp-content/uploads/2021/11/2-14-768x437.jpg",
+      "shortDescription": "Tiburón de aguas profundas con órganos bioluminiscentes, se encuentra en el Pacífico.",
+      "description": "El tiburón linterna del Pacífico, Euprotomicroides zantedeschia, es un tiburón poco común que habita en las profundidades del océano Pacífico. Posee órganos bioluminiscentes en el abdomen, los cuales utiliza para atraer presas en las oscuras profundidades marinas. Su esperanza de vida puede superar los 25 años. Se alimenta de peces, crustáceos y cefalópodos. Aunque no se sabe mucho sobre su comportamiento social, se cree que son solitarios. La población de este tiburón se ve amenazada por la pesca incidental y la degradación de su hábitat.",
+      "facts": {
+        "approximateLongevity": 25,
+        "locationOfTheSpecie": "Aguas profundas",
+        "conduct": "Se cree que son solitarios"
+      },
+      "nutrition": "Peces, crustáceos y cefalópodos.",
+      "maximumSizeMtr": 1.5
     },
-    "extraInfo": {
-      "imageSource": "https://www.bing.com/images/create/lise-meitner-in-nuclear-physics-lab-in-19502c-retro/651196e6bbcb4009950e9955c2199760"
-    }
-  },
-  {
-    "id": "sau-lan-wu",
-    "name": "Sau Lan Wu",
-    "shortDescription": "Física de partículas, contribuyó a experimentos clave en física de alta energía.",
-    "description": "Física experimental sinoamericana, ha sido una fuerza motriz en la física de partículas. Destacó en experimentos en el CERN y lideró investigaciones cruciales, como el descubrimiento del quark c, que expandieron nuestro entendimiento de la estructura fundamental de la materia. Wu superó desafíos en una disciplina dominada por hombres y ha sido un faro de inspiración para científicas de todo el mundo. Sau Lan Wu es un ejemplo de excelencia científica y de cómo las mujeres pueden dejar huella en la investigación de vanguardia.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/sau-lan-wu.jpg",
-    "facts": {
-      "yearOfBirth": "1940",
-      "birthPlace": "Hong Kong, China",
-      "mainField": "Física de Partículas"
+    {
+      "id": "rhizoprionodon_terraenovae",
+      "name": "Tiburón de arrecife de arena",
+      "nombreDeLaEspecie": "Rhizoprionodon terraenovae",
+      "imageUrl": "https://www.floridamuseum.ufl.edu/wp-content/uploads/sites/66/2017/05/Rhizoprionodon-terraenovae-07.jpg",
+      "shortDescription": "Pequeño tiburón costero que se encuentra en arrecifes y fondos arenosos.",
+      "description": "El tiburón de arrecife de arena, Rhizoprionodon terraenovae, es un pequeño tiburón costero que se encuentra en arrecifes y fondos arenosos en aguas tropicales y subtropicales. Su esperanza de vida puede alcanzar los 15 años. Son animales territoriales y pueden ser agresivos en defensa de su espacio. Se alimentan principalmente de peces pequeños, crustáceos y cefalópodos. Este tiburón es importante para el equilibrio de los ecosistemas marinos. Sin embargo, su población se ve amenazada por la pesca excesiva y la degradación del hábitat costero.",
+      "facts": {
+        "approximateLongevity": 15,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Territoriales y pueden ser agresivos en defensa de su espacio"
+      },
+      "nutrition": "Peces pequeños, crustáceos y cefalópodos.",
+      "maximumSizeMtr": 1
     },
-    "extraInfo": {
-      "imageSource": "https://repository.aip.org/islandora/object/nbla%3A315195"
-    }
-  },
-  {
-    "id": "jocelyn-bell-burnell",
-    "name": "Jocelyn Bell Burnell",
-    "shortDescription": "Astrónoma y astrofísica, co-descubridora de los púlsares.",
-    "description": "Astrofísica británica, es una figura extraordinaria en la ciencia. Durante su doctorado, hizo un descubrimiento revolucionario al detectar los primeros púlsares, estrellas de neutrones altamente magnetizadas que emiten pulsos regulares de radiación. A pesar de que su asesor recibió el Premio Nobel por este descubrimiento, Bell Burnell se ha convertido en un símbolo de perseverancia y contribución de las mujeres a la astronomía. Su carrera distinguida y su activismo en favor de la diversidad de género en la ciencia han inspirado a generaciones futuras de científicas. Jocelyn Bell Burnell es un ejemplo de valentía y excelencia científica.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/jocelyn-bell-burnell.jpg",
-    "facts": {
-      "yearOfBirth": "1943",
-      "birthPlace": "Belfast, Reino Unido",
-      "mainField": "Astronomía, Astrofísica"
+    {
+      "id": "carcharodon_carcharias",
+      "name": "Gran tiburón blanco",
+      "nombreDeLaEspecie": "Carcharodon carcharias",
+      "imageUrl": "https://www.tiburoneswiki.com/Imagenes/carcharodon-carcharias.jpg",
+      "shortDescription": "Tiburón depredador de gran tamaño, conocido por su coloración blanca y ataques a mamíferos marinos.",
+      "description": "El gran tiburón blanco, es uno de los depredadores marinos más grandes y temidos. Puede alcanzar una longitud de más de 6 metros y vivir más de 70 años. Habita en aguas templadas alrededor del mundo y es conocido por sus ataques a mamíferos marinos, como focas y leones marinos. Su comportamiento de caza es meticuloso y estratégico. Aunque su imagen a menudo se ve asociada con ataques a humanos, estos son raros y generalmente son casos de identificación errónea. Sin embargo, la sobreexplotación y la caza furtiva han llevado a una disminución en su población.",
+      "facts": {
+        "approximateLongevity": 70,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Caza meticulosa y estratégica"
+      },
+      "nutrition": "Peces, focas y otros tiburones.",
+      "maximumSizeMtr": 6
     },
-    "extraInfo": {
-      "imageSource": "https://womeninscienceweadmire.icfo.eu/wiswa-2/jocelyn-bell/"
-    }
-  },
-  {
-    "id": "dorothy-crowfoot-hodgkin",
-    "name": "Dorothy Crowfoot Hodgkin",
-    "shortDescription": "Química, ganadora del Premio Nobel de Química.",
-    "description": "Química británica, es una figura icónica en la ciencia que superó las barreras de género de su época. Su trabajo revolucionario en la cristalografía de rayos X permitió determinar la estructura de importantes biomoléculas, como la penicilina, la vitamina B12 y la insulina. Fue galardonada con el Premio Nobel de Química en 1964, siendo la tercera mujer en recibir este prestigioso reconocimiento. Hodgkin no solo fue una científica excepcional, sino también una defensora de la igualdad de género en la ciencia, allanando el camino para futuras generaciones de científicas y dejando un legado duradero en la investigación y la equidad.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/dorothy-crowfoot-hodgkin.jpg",
-    "facts": {
-      "yearOfBirth": "1910",
-      "yearOfDeath": "1994",
-      "birthPlace": "El Cairo, Egipto / Shipston-on-Stour, Reino Unido",
-      "mainField": "Química"
+    {
+      "id": "sphyrna_spp",
+      "name": "Tiburón martillo",
+      "nombreDeLaEspecie": "Género Sphyrna",
+      "imageUrl": "https://alchetron.com/cdn/sphyrna-cc06f209-6de8-48c4-885e-f7c3710e44c-resize-750.jpeg",
+      "shortDescription": "Familia de tiburones con una cabeza distintiva en forma de martillo.",
+      "description": "Los tiburones martillo, del género Sphyrna, son conocidos por sus cabezas en forma de martillo, que les brindan ventajas sensoriales únicas. Esta forma especializada les permite detectar presas y moverse con eficiencia en su entorno acuático. Se encuentran en diferentes hábitats alrededor del mundo, desde aguas tropicales hasta templadas. Son depredadores versátiles que se alimentan de una variedad de presas, incluidos peces óseos, calamares y crustáceos. Algunas especies de este género forman grupos sociales, mientras que otras son más solitarias. Sin embargo, todas enfrentan amenazas debido a la pesca excesiva y la pérdida de hábitat.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Varía según la especie, algunas forman grupos sociales"
+      },
+      "nutrition": "Peces óseos, calamares y crustáceos.",
+      "maximumSizeMtr": 6
     },
-    "extraInfo": {
-      "imageSource": "https://www.some.ox.ac.uk/news/jan-royall-why-we-must-champion-dorothy-hodgkin-for-the-50-note/"
-    }
-  },
-  {
-    "id": "marie-curie",
-    "name": "Marie Curie",
-    "shortDescription": "Física y química, ganadora de dos Premios Nobel.",
-    "description": "física y química de origen polaco y nacionalizada francesa, es una de las figuras más icónicas en la historia de la ciencia. Ganadora de dos premios Nobel (Física en 1903 y Química en 1911), Curie realizó investigaciones fundamentales sobre la radiactividad y el descubrimiento de los elementos radio y polonio. Su dedicación y valentía en la investigación científica, a pesar de los desafíos de la discriminación de género y los riesgos de la radiación, la convierten en un modelo a seguir para científicas de todo el mundo.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/marie-curie.jpg",
-    "facts": {
-      "yearOfBirth": "1867",
-      "yearOfDeath": "1934",
-      "birthPlace": "Varsovia, Polonia",
-      "mainField": "Física y Química"
+    {
+      "id": "isurus_oxyrinchus",
+      "name": "Tiburón mako",
+      "nombreDeLaEspecie": "Isurus oxyrinchus",
+      "imageUrl": "https://i.pinimg.com/564x/e8/57/08/e85708332c7db6150db5b27865419e79.jpg",
+      "shortDescription": "Tiburón rápido y ágil, conocido por su velocidad en el agua.",
+      "description": "El tiburón mako, Isurus oxyrinchus, es una especie de tiburón altamente migratoria, conocida por su velocidad y agilidad en el agua. Puede alcanzar velocidades de hasta 60 kilómetros por hora. Habita en aguas tropicales y templadas en todo el mundo, preferentemente en la plataforma continental y en alta mar. Su dieta se compone principalmente de peces, calamares y otros tiburones. Son depredadores eficientes que cazan con precisión. Aunque no son agresivos hacia los humanos, pueden representar un peligro para los pescadores debido a su fuerza y velocidad.",
+      "facts": {
+        "approximateLongevity": 32,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Altamente migratorio y ágil en el agua"
+      },
+      "nutrition": "Peces, calamares y otros tiburones.",
+      "maximumSizeMtr": 3
     },
-    "extraInfo": {
-      "imageSource": "https://www.historyextra.com/period/first-world-war/life-of-the-week-marie-curie/"
-    }
-  },
-  {
-    "id": "marjory-stephenson",
-    "name": "Marjory Stephenson",
-    "shortDescription": "Microbióloga y bioquímica, investigó en enzimología.",
-    "description": "Bioquímica británica, brilló como científica en una época en la que las mujeres enfrentaban obstáculos muy significativos en la investigación científica. Su trabajo pionero en microbiología, enzimología y bioquímica contribuyó al entendimiento de procesos fundamentales en la vida. Fue una de las primeras mujeres en ser elegida miembro de la Royal Society, un reconocimiento a su destacada contribución a la ciencia. Además, fue una mentora y defensora de las mujeres en la ciencia, inspirando y allanando el camino para futuras generaciones.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/marjory-stephenson.jpg",
-    "facts": {
-      "yearOfBirth": "1885",
-      "yearOfDeath": "1948",
-      "birthPlace": "Londres, Reino Unido",
-      "mainField": "Química, Microbiología, Bioquímica"
+    {
+      "id": "alopias_pelagicus",
+      "name": "Tiburón zorro",
+      "nombreDeLaEspecie": "Alopias pelagicus",
+      "imageUrl": "https://ecodivecenter.com/product_images/uploaded_images/ezgif.com-webp-to-jpg.jpg",
+      "shortDescription": "Tiburón de aspecto distintivo con una larga cola similar a la de un zorro.",
+      "description": "El tiburón zorro, Alopias pelagicus, es reconocido por su distintiva cola larga y delgada, que puede representar hasta la mitad de su longitud total. Habita en aguas tropicales y templadas de océanos abiertos en todo el mundo. Es una especie migratoria que sigue las corrientes oceánicas en busca de alimento. Se alimenta principalmente de peces pequeños, calamares y crustáceos. Aunque su apariencia puede ser imponente, el tiburón zorro rara vez representa una amenaza para los humanos. Sin embargo, su población enfrenta presiones debido a la pesca incidental y la degradación del hábitat.",
+      "facts": {
+        "approximateLongevity": 24,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Migratorio siguiendo corrientes oceánicas"
+      },
+      "nutrition": "Peces pequeños, calamares y crustáceos.",
+      "maximumSizeMtr": 3
     },
-    "extraInfo": {
-      "imageSource": "https://microbiologysociety.org/grants-prizes/all-prizes-and-competitions-/prize-lectures/marjory-stephenson-prize-lecture/marjory-stephenson-a-short-history.html"
-    }
-  },
-  {
-    "id": "rosalind-franklin",
-    "name": "Rosalind Franklin",
-    "shortDescription": "Química y cristalógrafa, contribuyó a la comprensión de la estructura del ADN.",
-    "description": "Química y cristalógrafa británica, destacó en un campo dominado por hombres y su contribución a la ciencia es innegable. Sus investigaciones pioneras en la cristalografía de rayos X fueron fundamentales para revelar la estructura del ADN en forma de doble hélice, un hito crucial en la biología molecular. A pesar de que su trabajo inicial fue subestimado, su determinación y habilidad científica allanaron el camino para futuros avances en genética y biología. Franklin es un ejemplo inspirador de cómo las mujeres pueden sobresalir en la ciencia, dejando un legado duradero en la investigación y la igualdad de género.",
-    "imageUrl": "https://laboratoria-dataverse-talks.netlify.app/public/rosalind-franklin.jpg",
-    "facts": {
-      "yearOfBirth": "1920",
-      "yearOfDeath": "1958",
-      "birthPlace": "Londres, Reino Unido",
-      "mainField": "Química, Cristalografía"
+    {
+      "id": "chiloscyllium_punctatum",
+      "name": "Tiburón bambú",
+      "nombreDeLaEspecie": "Chiloscyllium punctatum",
+      "imageUrl": "https://i.pinimg.com/564x/cd/5a/4f/cd5a4fc7014151d565f9918a420d7bb3.jpg",
+      "shortDescription": "Tiburón de aspecto peculiar, con patrones de manchas y hábitos nocturnos.",
+      "description": "El tiburón bambú, Chiloscyllium punctatum, es un tiburón pequeño y de aspecto peculiar, con un cuerpo alargado y patrones de manchas únicos. Se encuentra en aguas tropicales poco profundas del océano Indo-Pacífico. Es un tiburón nocturno que se esconde entre los arrecifes de coral y los lechos marinos durante el día, y se aventura a cazar por la noche. Se alimenta principalmente de crustáceos, peces pequeños y moluscos. Aunque su tamaño y comportamiento generalmente lo mantienen fuera del alcance humano, es capturado accidentalmente en la pesca comercial y la acuicultura.",
+      "facts": {
+        "approximateLongevity": 25,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Nocturno, se esconde durante el día"
+      },
+      "nutrition": "Crustáceos, peces pequeños y moluscos.",
+      "maximumSizeMtr": 1
     },
-    "extraInfo": {
-      "imageSource": ""
+    {
+      "id": "galeocerdo_cuvier",
+      "name": "Tiburón tigre",
+      "nombreDeLaEspecie": "Galeocerdo cuvier",
+      "imageUrl": "https://i.pinimg.com/564x/f6/b4/81/f6b481a4982953150974e15daecf92ca.jpg",
+      "shortDescription": "Tiburón grande y poderoso con patrones de rayas oscuras.",
+      "description": "El tiburón tigre (Galeocerdo cuvier) es uno de los tiburones más grandes y formidables que habita en los océanos tropicales y subtropicales de todo el mundo. Con un cuerpo robusto y poderoso, así como patrones de rayas oscuras que lo hacen fácilmente reconocible, este tiburón es un depredador ágil y versátil. Su dieta incluye una amplia variedad de presas, desde peces hasta tortugas marinas y mamíferos marinos. Aunque los encuentros con humanos son raros, se le considera potencialmente peligroso debido a su tamaño y naturaleza depredadora.",
+      "facts": {
+        "approximateLongevity": 30,
+        "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+        "conduct": "Mayormente solitario, caza tanto de día como de noche."
+      },
+      "nutrition": "Peces, tortugas marinas, mamíferos marinos",
+      "maximumSizeMtr": 4.5
     }
-  }
-];
+  ]
diff --git a/src/dataFunctions.js b/src/dataFunctions.js
index 5de554a..9d01d8f 100644
--- a/src/dataFunctions.js
+++ b/src/dataFunctions.js
@@ -1,9 +1,48 @@
-// Estas funciones son ejemplos, aquí puedes desarrollar tus propias funciones.
+export const filterData = (data, filterBy, value) => {
 
-export const example = () => {
-  return 'example';
+  const filteredData = data.filter(item => {
+    const filterParts = filterBy.split('.');
+    let obj = item;
+    for (let i = 0; i < filterParts.length; i++) {
+      obj = obj[filterParts[i]];
+    }
+    return obj === value;
+  });
+  
+  return filteredData;
 };
 
-export const anotherExample = () => {
-  return [];
+
+export const sortBySharkSize = (data, sortBy, sortOrder) => {
+
+  const sortedData = data.sort((a, b) => {
+    let sizeA, sizeB;
+
+    if (sortBy) {
+      sizeA = a[sortBy];
+      sizeB = b[sortBy];
+    } else {
+      sizeA = a.maximumSizeMtr;
+      sizeB = b.maximumSizeMtr;
+    }
+
+    const compareValue = sortOrder === 'desc' ? -1 : 1;
+
+    if (sizeA < sizeB) {
+      return -1 * compareValue;
+    }
+    if (sizeA > sizeB) {
+      return 1 * compareValue;
+    }
+    return 0;
+  });
+
+  return sortedData;
 };
+
+export const computeStats = (data) => {
+  const longevity = data.map(item => item.facts.approximateLongevity);
+  const totalLongevity = longevity.reduce((acc,cur) => acc + cur, 0);
+  const averageLongevity = (totalLongevity/longevity.length).toFixed(2);
+  return averageLongevity;
+}
\ No newline at end of file
diff --git a/src/index.html b/src/index.html
index 05b0a0a..6c9db5b 100644
--- a/src/index.html
+++ b/src/index.html
@@ -1,11 +1,44 @@
 <!DOCTYPE html>
-<html>
-  <head>
-    <meta charset="utf-8">
-    <title>Dataverse</title>
-    <link rel="stylesheet" href="style.css" />
-  </head>
-  <body>
-    <script src="main.js" type="module"></script>
-  </body>
-</html>
+<html lang="es">
+
+<head>
+  <meta charset="utf-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>Dataverse</title>
+  <link rel="stylesheet" href="style.css" />
+</head>
+
+<body>
+  <header>
+    <h1>SharkInfo</h1>
+    <h2>Sumérgete en el mundo de los tiburones</h2>
+  </header>
+  <main>
+    <section>
+      <label for="locationOfTheSpecie"> Hábitat:</label>
+      <select id="locationOfTheSpecie" name="locationOfTheSpecie" data-testid="select-filter">
+        <option value="Todas">Todas</option>
+        <option value="Aguas profundas">Aguas profundas</option>
+        <option value="Aguas tropicales y subtropicales">Aguas tropicales y subtropicales</option>
+        <option value="Océano Atlántico">Océano Atlántico</option>
+        <option value="Océano Pacífico">Océano Pacífico</option>
+        <option value="Océanos en todo el mundo">Océanos en todo el mundo</option>
+      </select>
+      <label for="maximumSizeMtr">Tamaño:</label>
+      <select id="maximumSizeMtr" name="maximumSizeMtr" data-testid="select-sort">
+        <option value="asc">0 - 15</option> 
+        <option value="desc">15 - 0</option> 
+      </select>
+      <p id="longevityText">Longevidad promedio:</p>
+      <button id="longevityProm">Calcular</button>
+      <button id="clearFilter" data-testid="button-clear">Limpiar filtros</button>
+    </section>
+    <div id="root"></div>
+  </main>
+  <footer>
+    <p class="p">
+      Hecho por Mireilys e Iveth</p>
+  </footer>
+  <script src="main.js" type="module"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/src/main.js b/src/main.js
index cab4fb0..c050b0b 100644
--- a/src/main.js
+++ b/src/main.js
@@ -1,6 +1,55 @@
-import { example } from './dataFunctions.js';
+import { filterData } from './dataFunctions.js';
+import { sortBySharkSize } from './dataFunctions.js';
 import { renderItems } from './view.js';
-
 import data from './data/dataset.js';
+import { computeStats } from './dataFunctions.js';
+
+
+const htmlElement = document.querySelector('html');
+let statusData = data;
+htmlElement.getElementsByTagName('body')[0].getElementsByTagName('div')[0].appendChild(renderItems(statusData));
+
+const selectElement = document.getElementsByName("locationOfTheSpecie")[0];
+selectElement.addEventListener('change', function () {
+  const selectedValue = selectElement.value;
+  if (selectedValue === 'Todas') {
+    htmlElement.getElementsByTagName('body')[0].getElementsByTagName('div')[0].replaceChildren(renderItems(data));
+  } else {
+    const filteredData = filterData(data, 'facts.locationOfTheSpecie', selectedValue);
+    statusData = filteredData;
+    htmlElement.getElementsByTagName('body')[0].getElementsByTagName('div')[0].replaceChildren(renderItems(statusData));
+  }
+});
+
+const sortElement = document.getElementsByName("maximumSizeMtr")[0];
+sortElement.addEventListener("change", function (event) {
+  const sortValue = event.target.value;
+
+  let sortedData;
+  if (sortValue === 'asc') {
+    sortedData = sortBySharkSize(statusData, 'maximumSizeMtr', 'asc');
+  } else if (sortValue === 'desc') {
+    sortedData = sortBySharkSize(statusData, 'maximumSizeMtr', 'desc');
+  } else {
+    sortedData = statusData;
+  }
+  statusData = sortedData
+  htmlElement.getElementsByTagName('body')[0].getElementsByTagName('div')[0].replaceChildren(renderItems(statusData));
+});
+
+const buttonClear = document.getElementById('clearFilter');
+buttonClear.addEventListener("click", () => {
+  statusData = data;
+  htmlElement.getElementsByTagName('body')[0].getElementsByTagName('div')[0].replaceChildren(renderItems(statusData));
+  document.querySelector('#locationOfTheSpecie').value = 'Todas';
+  document.querySelector('#longevityText').innerHTML = 'Longevidad promedio:';
+})
+
+const longevityAverage = document.querySelector('#longevityProm');
+const longevityText = document.querySelector('#longevityText');
+longevityAverage.addEventListener("click", () => {
+  longevityText.innerHTML = 'Longevidad promedio: ' + computeStats(statusData) + ' años';
+
+})
 
-console.log(example, renderItems(data), data);
+renderItems(data);
diff --git a/src/style.css b/src/style.css
index e69de29..438e18c 100644
--- a/src/style.css
+++ b/src/style.css
@@ -0,0 +1,326 @@
+ul {
+    display: flex;
+    flex-wrap: wrap;
+    align-items: flex-start;
+    flex-direction: row;
+    padding: 0;
+    justify-content: center;
+}
+
+img {
+    width: 70px;
+    height: 66px;
+    border-radius: 5px;
+    flex-basis: 70px;
+}
+
+.card {
+    width: 300px;
+    height: 77px;
+    background: #F5EEDC;
+    font-family: Arial, Helvetica, sans-serif;
+    font-size: small;
+    color: black;
+    margin: 10px;
+    list-style-type: none;
+}
+
+p {
+    font-family: Arial, Helvetica, sans-serif;
+    font-size: xx-small;
+    color: black;
+    text-align: left;
+    margin: 0cap;
+    margin-left: 10px;
+    margin-left: 10px;
+    margin-top: 5px;
+    margin-bottom: 10px;
+}
+
+h3 {
+    margin: 0 0 2px 0;
+    margin-left: 10px;
+    font-size: 15px;
+    text-align: left;
+}
+
+h4 {
+    text-align: left;
+    margin: 0 0 5px 0;
+    margin-left: 10px;
+    opacity: 0.7;
+    font-style: italic;
+}
+
+dl {
+    display: flex;
+    flex-direction: row;
+}
+
+header {
+    background-image: url(https://images.unsplash.com/photo-1530053969600-caed2596d242?q=80&w=2874&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D);
+    background-size: cover;
+    background-position: bottom;
+    filter: contrast(106%);
+    background-repeat: no-repeat;
+    color: #FFFFFF;
+    padding: 10px;
+    text-align: center;
+
+}
+
+footer {
+    background-image: url(https://images.unsplash.com/photo-1530053969600-caed2596d242?q=80&w=2874&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D);
+    background-size: cover;
+    background-position: bottom;
+    filter: contrast(106%);
+    background-repeat: no-repeat;
+    background-attachment: fixed;
+    background-size: cover;
+    color: #FFFFFF;
+    padding: 0;
+    text-align: center;
+    width: 100%;
+    height: 37px;
+    font-size: 10px;
+}
+
+h1 {
+    font-family: 'Inter', sans-serif;
+    font-weight: 800;
+    font-size: 50px;
+}
+
+h2 {
+    font-family: 'Inter', sans-serif;
+    font-weight: 800;
+    font-size: 20px;
+}
+
+.p {
+    background-size: 0%;
+    padding: 10px;
+    text-align: center;
+    color: #FFFFFF;
+    font-size: 15px;
+    font-family: 'Inter', sans-serif;
+    font-weight: 600;
+}
+
+main {
+    background-color: #DAD7D7;
+    padding: px;
+    text-align: center;
+}
+
+body {
+    background-repeat: no-repeat;
+    background-attachment: fixed;
+    background-size: cover;
+    color: #FFFFFF;
+    height: 100%;
+    margin: 0;
+}
+
+section {
+    background: #F5EEDC;
+    padding: 1rem 0;
+    flex-direction: row;
+    align-items: center;
+    display: flex;
+    flex-wrap: wrap;
+}
+
+label {
+    font-family: 'Inter', sans-serif;
+    color: black;
+    font-size: small;
+    font-weight: 700;
+    margin-right: 3px;
+    margin-left: 1px;
+}
+
+select {
+    padding: 0px;
+    display: inline-flex;
+    gap: 500px;
+    text-align: justify;
+    background-color: rgb(250, 249, 249);
+    border-radius: 5px;
+    font-size: x-small;
+    font-family: sans-serif;
+}
+
+.numberMts {
+    display: none;
+}
+
+#clearFilter {
+    padding: 5px;
+    border-radius: 5px;
+    font-size: 8px;
+    font-family: sans-serif;
+    font-weight: 700;
+    color: #fff;
+    background-color: #007bff;
+    border-color: #007bff;
+    margin-left: auto;
+    margin-right: 52px;
+    cursor: pointer;
+}
+
+#longevityText {
+    color: black;
+    font-family: 'Inter', sans-serif;
+    font-size: x-small;
+    font-weight: 700;
+    margin-left: 2px;
+}
+
+#longevityProm {
+    padding: 5px;
+    border-radius: 5px;
+    font-family: sans-serif;
+    font-weight: 700;
+    color: #fff;
+    background-color: #007bff;
+    border-color: #007bff;
+    cursor: pointer;
+    font-size: 8px;
+}
+
+@media (min-width : 900px) {
+    body {
+        background-color: rgb(209, 206, 206);
+    }
+
+    .card {
+        width: 424px;
+        height: 365px;
+        font-size: 20px;
+    }
+
+    img {
+        width: 386px;
+        height: 253px;
+        flex-basis: auto;
+    }
+
+    dl {
+        display: flex;
+        flex-direction: column;
+        align-items: center;
+    }
+
+    h3 {
+        font-size: 20px;
+    }
+
+    h4 {
+        font-size: 15px;
+    }
+
+    p {
+        font-size: 15px;
+        font-family: Arial, Helvetica, sans-serif;
+    }
+
+    h1 {
+        font-size: 64px;
+    }
+
+    h2 {
+        font-size: 32px;
+    }
+
+    div {
+        align-self: start;
+        margin-left: 10px;
+        margin-top: 5px;
+    }
+
+    footer {
+        height: 97px;
+    }
+
+    .p {
+        font-size: 24px;
+    }
+
+    .longevity {
+        display: flex;
+        flex-direction: row;
+        align-items: center;
+        margin: 0 4%;
+        background-size: cover;
+        background-position: bottom;
+        filter: contrast(96%);
+        width: 100%;
+        height: 100%;
+        border-radius: 5px;
+    }
+
+    #longevityProm {
+        padding: 5px;
+        border-radius: 5px;
+        font-size: medium;
+        font-family: sans-serif;
+        font-weight: 700;
+        color: #fff;
+        background-color: #007bff;
+        border-color: #007bff;
+        cursor: pointer;
+    }
+
+    #longevityText {
+        font-family: 'Inter', sans-serif;
+        color: black;
+        font-size: medium;
+        font-weight: 700;
+        margin-right: 15px;
+        margin-left: 15px;
+    }
+    
+    section {
+        background: #F5EEDC;
+        padding: 1rem 0;
+        display: flex;
+        flex-direction: row;
+        align-items: center;
+        margin: 0 4%;
+    }
+
+    label {
+        font-family: 'Inter', sans-serif;
+        color: black;
+        font-size: medium;
+        font-weight: 700;
+        margin-right: 15px;
+        margin-left: 15px;
+    }
+
+    select {
+        padding: 5px;
+        display: inline-flex;
+        gap: 500px;
+        text-align: left;
+        background-color: rgb(250, 249, 249);
+        border-radius: 5px;
+        font-size: medium;
+        font-family: sans-serif;
+    }
+
+    #clearFilter {
+        padding: 5px;
+        border-radius: 5px;
+        font-size: medium;
+        font-family: sans-serif;
+        font-weight: 700;
+        color: #fff;
+        background-color: #007bff;
+        border-color: #007bff;
+        margin-left: auto;
+        margin-right: 15px;
+        cursor: pointer;
+    }
+}
\ No newline at end of file
diff --git a/src/view.js b/src/view.js
index 0da7b7f..8c0166f 100644
--- a/src/view.js
+++ b/src/view.js
@@ -1,6 +1,27 @@
 export const renderItems = (data) => {
-  console.log(data)
-  // Aquí comienza tu código y puedes retornar lo que tu necesites
-  return 'example';
+  const ulElement = document.createElement('ul');
+  data.forEach(item => {
+    const liElement = document.createElement('li');
+    liElement.setAttribute("class", "card");
+    liElement.setAttribute("itemtype", item.nombreDeLaEspecie);
+    liElement.setAttribute("itemscope", "");
+    liElement.innerHTML = `
+    <dl>
+    <img src=${item.imageUrl} alt="tiburones" />
+    <div>
+    <h3 itemprop="name">${item.name}</h3>
+    <h4 itemprop="nombre de la especie">${item.nombreDeLaEspecie}</h4>
+    <p itemprop="shortDescription">${item.shortDescription}</p>
+    <p itemprop="maximumSizeMtr" class="numberMts">${item.maximumSizeMtr}</p>
+    </div>
+    </dl>
+  `
+
+    ulElement.appendChild(liElement);
+
+
+  });
+  return ulElement;
+
 };
 
diff --git a/test/data.js b/test/data.js
index 9b3c238..4207c1f 100644
--- a/test/data.js
+++ b/test/data.js
@@ -1,5 +1,124 @@
-// Aqui puedes agregar los datos que necesites para tus pruebas
-// al menos debe tener uno que se llame "data"
 
-export const data = [];
+export const data = [
+  {
+    "id": "megachasma_pelagios",
+    "name": "Tiburón Megamouth",
+    "shortDescription": "Raro tiburón de aguas profundas.",
+    "nombreDeLaEspecie": "Megachasma pelagios",
+    "imageUrl": "https://critter.science/wp-content/uploads/2021/01/ms1a-1180x520.jpg",
+    "description": "Descubierto en 1976, el tiburón Megamouth es una especie poco común con solo unos pocos avistamientos. Posee una mandíbula peculiar que se abre ampliamente para alimentarse de plancton y pequeños peces. Vive en aguas profundas y su hábitat se extiende por todo el mundo, aunque se desconoce su población exacta. A pesar de su tamaño, es difícil de rastrear debido a su hábitat inaccesible y su comportamiento nocturno. Sin embargo, su papel en el ecosistema marino es crucial para mantener el equilibrio.",
+    "facts": {
+      "approximateLongevity": 100,
+      "locationOfTheSpecie": "Aguas profundas",
+      "conduct": "Mayormente solitario, se alimenta principalmente por la noche",
+    },
+    "nutrition": "Plancton, pequeños peces",
+    "maximumSizeMtr": 6
+  },
+  {
+    "id": "rhincodon_typus",
+    "name": "Tiburón Ballena",
+    "nombreDeLaEspecie": "Rhincodon typus",
+    "imageUrl": "https://i.pinimg.com/736x/08/17/ad/0817ad97556b44950564c7ec4c1cb10d.jpg",
+    "shortDescription": "El pez más grande del océano.",
+    "description": "El tiburón ballena es una especie asombrosa, siendo el pez más grande del océano. Con un tamaño que puede superar los 12 metros, es una especie inofensiva que se alimenta principalmente de plancton. Se le encuentra en aguas tropicales y subtropicales alrededor del mundo. A menudo es avistado en áreas de alimentación cerca de la superficie del océano, donde se alimenta de forma pacífica. Su presencia indica la salud del ecosistema marino y su conservación es fundamental para mantener la biodiversidad.",
+    "facts": {
+      "approximateLongevity": 70,
+      "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+      "conduct": "Solitario, se alimenta filtrando grandes cantidades de agua"
+    },
+    "nutrition": "Plancton",
+    "maximumSizeMtr": 14
+  },
+  {
+    "id": "alopias_vulpinus",
+    "name": "Tiburón Zorro",
+    "nombreDeLaEspecie": "Alopias vulpinus",
+    "imageUrl": "https://i.pinimg.com/564x/ba/18/1c/ba181c45afb615eeb8ddd135de93f802.jpg",
+    "shortDescription": "Con una cola alargada en forma de látigo.",
+    "description": "El tiburón zorro es conocido por su cola alargada en forma de látigo, que utiliza para golpear a sus presas. Es una especie migratoria que se puede encontrar en aguas templadas y tropicales en todo el mundo. A menudo se le observa saltando fuera del agua. Su apariencia es única y su conducta juguetón lo convierten en un favorito entre los buceadores y observadores de tiburones. Sin embargo, la pesca indiscriminada amenaza su supervivencia y la de otros depredadores marinos.",
+    "facts": {
+      "approximateLongevity": 24,
+      "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+      "conduct": "Activo de día como de noche, se le observa fuera del agua"
+    },
+    "nutrition": "Peces óseos, calamares",
+    "maximumSizeMtr": 3.5
+  },
+  {
+    "id": "sphyrna_lewini",
+    "name": "Tiburón Martillo",
+    "nombreDeLaEspecie": "Sphyrna lewini",
+    "imageUrl": "https://i.pinimg.com/564x/45/7a/62/457a62fcf11d5e0cf321c6ced6d83224.jpg",
+    "shortDescription": "Con su distintiva cabeza en forma de martillo.",
+    "description": " El tiburón martillo es una especie fácilmente reconocible por su cabeza en forma de martillo, la cual tiene varias funciones, incluida una mayor sensibilidad electromagnética y un mejor campo visual. Se les puede encontrar en aguas tropicales y subtropicales, y son conocidos por sus migraciones estacionales. A pesar de su aspecto intimidante, rara vez representa una amenaza para los humanos, ya que es más probable que huya cuando se encuentra con buceadores. Su conservación es vital para mantener la biodiversidad marina.",
+    "facts": {
+      "approximateLongevity": 20,
+      "locationOfTheSpecie": "Aguas tropicales y subtropicales",
+      "conduct": "Socialmente activo, a menudo se les ve en grupos pequeños"
+    },
+    "nutrition": "Peces pequeños, calamares, crustáceos",
+    "maximumSizeMtr": 4
+  },
+  {
+    "id": "chlamydoselachus_anguineus",
+    "name": "Quimera",
+    "nombreDeLaEspecie": "Chlamydoselachus anguineus",
+    "imageUrl": "https://i.pinimg.com/564x/9f/d8/db/9fd8db121aa26f0faabb523a42790523.jpg",
+    "shortDescription": "Una especie primitiva de tiburón.",
+    "description": "La quimera, también conocida como tiburón duende, es una especie primitiva de tiburón con características únicas, como aletas pectorales que parecen alas. Habita en profundidades extremas, hasta 2,500 metros bajo la superficie. Se alimenta principalmente de peces y invertebrados. Aunque raramente se encuentra en pesquerías comerciales, su captura incidental representa una amenaza para su población y se le considera vulnerable según la Lista Roja de la UICN. La protección de su hábitat es esencial para su supervivencia a largo plazo.",
+    "facts": {
+      "approximateLongevity": 28,
+      "locationOfTheSpecie": "Aguas profundas",
+      "conduct": "Conocido por su hábitat inaccesible, se cree que es solitario"
+    },
+    "nutrition": "Peces, cangrejos, moluscos",
+    "maximumSizeMtr": 1.5
+  },
+  {
+    "id": "lamna_nasus",
+    "name": "Tiburón porbeagle",
+    "nombreDeLaEspecie": "Lamna nasus",
+    "imageUrl": "https://i.pinimg.com/564x/cd/e9/68/cde96813c3fe894fa147d591eabac710.jpg",
+    "shortDescription": "Tiburón de aguas frías con aletas distintivas y comportamiento migratorio.",
+    "description": "El tiburón porbeagle es conocido por su migración estacional, donde viaja grandes distancias para alimentarse y reproducirse. Este tiburón es vital para el ecosistema marino, regulando las poblaciones de peces. Son depredadores efectivos y su presencia indica la salud del océano. Además, son capturados por la pesca comercial y deportiva, lo que ha llevado a preocupaciones sobre su conservación. Se han implementado medidas de manejo para proteger su población, pero la pesca accidental sigue siendo una amenaza. La investigación continua es crucial para garantizar su supervivencia.",
+    "facts": {
+      "approximateLongevity": 40,
+      "locationOfTheSpecie": "Océano Atlántico",
+      "conduct": "Migratorio, cazador solitario o en pequeños grupos."
+    },
+    "nutrition": "Carnívoro. Se alimenta principalmente de peces pequeños, calamares y crustáceos.",
+    "maximumSizeMtr": 3.5
+  },
+  {
+    "id": "prionace_glauca",
+    "name": "Tiburón azul",
+    "nombreDeLaEspecie": "Prionace glauca",
+    "imageUrl": "https://theperfectworldfoundation.org/app/uploads/2015/05/Prionace_glauca_1.jpg",
+    "shortDescription": "Tiburón rápido y ágil, reconocido por su coloración azul metálico.",
+    "description": "El tiburón azul es uno de los depredadores más rápidos del océano, capaz de alcanzar velocidades de hasta 40 mph. Realiza migraciones impresionantes a lo largo de vastas distancias, lo que lo hace un componente vital del ecosistema marino global. Aunque generalmente solitario, puede formar grupos temporales para alimentarse. Esta especie enfrenta numerosas amenazas, incluida la sobrepesca y la degradación del hábitat. La conservación del tiburón azul es crucial para mantener el equilibrio de los océanos y la biodiversidad marina.",
+    "facts": {
+      "approximateLongevity": 30,
+      "locationOfTheSpecie": "Océanos en todo el mundo",
+      "conduct": "Migratorio, depredador solitario."
+    },
+    "nutrition": "Carnívoro. Se alimenta de peces, calamares, crustáceos y ocasionalmente carroña.",
+    "maximumSizeMtr": 3.8
+  },
+  {
+    "id": "heterodontus_francisci",
+    "name": "Tiburón duende",
+    "nombreDeLaEspecie": "Heterodontus francisci",
+    "imageUrl": "https://i.pinimg.com/564x/08/03/3b/08033bb96ad72d468fd5046bd0729310.jpg",
+    "shortDescription": "Tiburón de apariencia única con un hocico alargado.",
+    "description": "El tiburón duende (Heterodontus francisci) es una joya de los arrecifes de coral del Pacífico. Reconocido por su inconfundible hocico largo y sus aletas puntiagudas, este tiburón es un maestro de la caza entre las grietas rocosas. A pesar de su apariencia intimidante, su dieta es relativamente inofensiva, compuesta principalmente por crustáceos y moluscos. Su longevidad, de hasta un cuarto de siglo, permite que esta especie sea un componente vital de los delicados ecosistemas coralinos. El tiburón duende, una maravilla de la naturaleza, continúa fascinando a científicos y aficionados por igual.",
+    "facts": {
+      "approximateLongevity": 25,
+      "locationOfTheSpecie": "Océano Pacífico",
+      "conduct": "Mayormente solitario, activo durante la noche."
+    },
+    "nutrition": "Se alimenta principalmente de crustáceos, moluscos y pequeños peces.",
+    "maximumSizeMtr": 1
+  },
+];
 
diff --git a/test/dataFunctions.spec.js b/test/dataFunctions.spec.js
index 72c5eb9..020eb68 100644
--- a/test/dataFunctions.spec.js
+++ b/test/dataFunctions.spec.js
@@ -1,18 +1,115 @@
-import { example, anotherExample } from '../src/dataFunctions.js';
-import { data as fakeData } from './data.js';
+import { computeStats, filterData } from '../src/dataFunctions.js';
+import { sortBySharkSize } from '../src/dataFunctions.js';
+import { data } from './data.js';
 
-console.log(fakeData);
 
-describe('example', () => {
-
-  it('returns `example`', () => {
-    expect(example()).toBe('example');
+describe('filterData', () => {
+  it('should filter data by a specific value', () => {
+    const filterBy = 'name';
+    const value = 'Tiburón Megamouth';
+    const expected = [{
+      "id": "megachasma_pelagios",
+      "name": "Tiburón Megamouth",
+      "shortDescription": "Raro tiburón de aguas profundas.",
+      "nombreDeLaEspecie": "Megachasma pelagios",
+      "imageUrl": "https://critter.science/wp-content/uploads/2021/01/ms1a-1180x520.jpg",
+      "description": "Descubierto en 1976, el tiburón Megamouth es una especie poco común con solo unos pocos avistamientos. Posee una mandíbula peculiar que se abre ampliamente para alimentarse de plancton y pequeños peces. Vive en aguas profundas y su hábitat se extiende por todo el mundo, aunque se desconoce su población exacta. A pesar de su tamaño, es difícil de rastrear debido a su hábitat inaccesible y su comportamiento nocturno. Sin embargo, su papel en el ecosistema marino es crucial para mantener el equilibrio.",
+      "facts": {
+        "approximateLongevity": 100,
+        "locationOfTheSpecie": "Aguas profundas",
+        "conduct": "Mayormente solitario, se alimenta principalmente por la noche",
+      },
+      "nutrition": "Plancton, pequeños peces",
+      "maximumSizeMtr": 6,
+    }];
+    expect(filterData(data, filterBy, value)).toEqual(expected);
   });
 });
 
-describe('anotherExample', () => {
 
-  it('returns `anotherExample`', () => {
-    expect(anotherExample()).toBe('OMG');
+describe('sortBySharkSize', () => {
+  test('Ordena los datos por tamaño de tiburón de forma ascendente', () => {
+    const data = [
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+      { name: 'Tiburón Zorro', maximumSizeMtr: 3.5 },
+    ];
+    const sortBy = 'maximumSizeMtr';
+    const sortOrder = 'asc';
+    const sortedData = sortBySharkSize(data, sortBy, sortOrder);
+
+    expect(sortedData).toEqual([
+      { name: 'Tiburón Zorro', maximumSizeMtr: 3.5 },
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+    ]);
+  });
+
+  test('Ordena los datos por tamaño de tiburón de forma descendente', () => {
+    const data = [
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+      { name: 'Tiburón Zorro', maximumSizeMtr: 3.5 },
+    ];
+    const sortBy = 'maximumSizeMtr';
+    const sortOrder = 'desc';
+    const sortedData = sortBySharkSize(data, sortBy, sortOrder);
+
+    expect(sortedData).toEqual([
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Zorro', maximumSizeMtr: 3.5 },
+    ]);
+  });
+  test('Ordena los datos por tamaño de tiburón de forma ascendente cuando no se especifica un campo de ordenación', () => {
+    const data = [
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+      { name: 'Tiburón Zorro', maximumSizeMtr: 3.5 },
+    ];
+    const sortBy = null; 
+    const sortOrder = 'asc';
+
+    const sortedData = sortBySharkSize(data, sortBy, sortOrder);
+
+    expect(sortedData).toEqual([
+      { name: 'Tiburón Zorro', maximumSizeMtr: 3.5 },
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+
+    ]);
+  });
+  test('Devuelve cero cuando los tamaños de los tiburones son iguales', () => {
+    const data = [
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+      { name: 'Tiburón Zorro', maximumSizeMtr: 14 },
+    ];
+    const sortBy = 'maximumSizeMtr';
+    const sortOrder = 'asc';
+
+    const sortedData = sortBySharkSize(data, sortBy, sortOrder);
+
+   
+    expect(sortedData).toEqual([
+      { name: 'Tiburón Megamouth', maximumSizeMtr: 6 },
+      { name: 'Tiburón Ballena', maximumSizeMtr: 14 },
+      { name: 'Tiburón Zorro', maximumSizeMtr: 14 },
+    ]);
+  });
+ 
+  describe('computeStats', () => {
+    test('Calcula el promedio de la longevidad aproximada', () => {
+      const data = [
+        { facts: { approximateLongevity: 100 } },
+        { facts: { approximateLongevity: 70 } },
+        { facts: { approximateLongevity: 24 } },
+      ];
+      const average = computeStats(data);
+
+      expect(average).toBe('64.67');
+
+
+    });
   });
 });
diff --git a/tests-read-only/oa/oa-prompting.spec.js b/tests-read-only/oa/oa-prompting.spec.js
index c3c801e..8486d1c 100644
--- a/tests-read-only/oa/oa-prompting.spec.js
+++ b/tests-read-only/oa/oa-prompting.spec.js
@@ -50,7 +50,7 @@ describe('Test de data set', () => {
         });
     
         it('Tiene el formato correcto', () => {
-          expect(/^[a-zA-Z0-9_\-]*$/.test(item.id)).toBe(true);
+          expect(/^[a-zA-Z0-9_-]*$/.test(item.id)).toBe(true);
           expect(item.id.length).toBeGreaterThan(0);
           expect(item.id.length).toBeLessThanOrEqual(32);
         });