guides.yml

---
- id: 1
  title: Installing Power BI Desktop
  url: https://mdl.library.utoronto.ca/technology/tutorials/installing-power-bi-desktop
  description: This tutorial will run you through the steps for installing **Power BI Desktop** on your own device. Power BI is Microsoft's Data Visualization tool, allowing users to turn their data into insightful visuals.
  technique:
    - Data Visualization
  tool:
    - Power BI
  date: "2025-09-05"
  series: MDL Tutorials
  type: Tutorial
- id: 2
  title: Introduction to Power BI
  url: https://mdl.library.utoronto.ca/technology/tutorials/introduction-power-bi
  description: |
    This tutorial outlines the steps taken in the demonstration during the live workshop on an Introduction to Data Visualization Using Power BI. This is a companion tutorial, but can also be used as a stand-alone introduction to Power BI Desktop.
  technique:
    - Data Visualization
  tool:
    - Power BI
  dataFormat: Statistics
  date: "2025-09-05"
  series: MDL Tutorials
  type: Tutorial
- id: 3
  title: Getting MAXQDA
  url: https://mdlutoronto.github.io/maxqda-getting/
  description: |
    MAXQDA is qualitative data analysis software. You are able to access it in the 4th floor computer lab of Robarts Library or purchase your own personal copy.
  technique:
    - Qualitative Data Analysis
  tool:
    - MAXQDA
  date: "2025-08-08"
  series: MDL Tutorials
  type: Guide
- id: 4
  title: Introduction to Using MAXQDA for Qualitative Data Analysis
  url: https://mdl.library.utoronto.ca/technology/tutorials/introduction-using-maxqda-qualitative-data-analysis
  description: |
    This is an introductory tutorial for MAXQDA. The goal of this tutorial is to learn about the basic features in MAXQDA that will allow you to organize and analyze qualitative data. Part 1 will teach you to use MAXQDA, to load information, code documents, make notes, and export information. Part 2 will explore some of MAXQDA's more advanced features, such as document variables, and analysis and visual tools. If you already have a grasp of the basics and are just interested in learning about the more advanced features, you can jump right to Part 2.
  technique:
    - Qualitative Data Analysis
  tool:
    - MAXQDA
  date: "2025-08-08"
  series: MDL Tutorials
  type: Tutorial
- id: 5
  title: Moving from NVivo to MAXQDA
  url: https://mdlutoronto.github.io/nvivo-to-maxqda/
  description: |
    To move between qualitative data analysis tools, you must put your project file into [REFI-QDA standard](https://www.qdasoftware.org/).
  technique:
    - Qualitative Data Analysis
  tool:
    - MAXQDA
    - NVivo
  date: "2025-08-08"
  series: MDL Tutorials
  type: Guide
- id: 6
  title: "MAXQDA: Information, Resources, Tutorials, and Workshops"
  url: https://mdl.library.utoronto.ca/technology/tutorials/maxqda-information-resources-tutorials-and-workshops
  description: |
    [MAXQDA](https://www.maxqda.com/) is a program used for qualitative data analysis. It supports researchers in managing, organizing, and analyzing qualitative data to produce new insight, infer relationships, and identify themes.
  technique:
    - Qualitative Data Analysis
  tool:
    - MAXQDA
  date: "2025-07-22"
  series: MDL Tutorials
  type: Tutorial
- id: 7
  title: Accessing JSTOR Text Analysis Support
  url: https://mdlutoronto.github.io/jstor-text-analysis-support-access/
  description: |
    This tutorial shows how to register for a JSTOR account and use the JSTOR Text Analysis tools, which replace the [now-ended Constellate platform](https://constellate.org/docs/constellate-sunset).
  technique:
    - Text and Data Mining
  tool:
    - Python
  date: "2025-06-25"
  series: MDL Tutorials
  type: Tutorial
- id: 8
  title: Transferring Data to a Public ArcGIS Online Account
  url: https://mdlutoronto.github.io/arcgis-online-account-transferring-data-public/
  description: |
    This tutorial provides step-by-step guidance on how to transfer work on ArcGIS Online from a University of Toronto (UofT) institutional account to the free (aka ‘public’) version of the service.
  technique:
    - Converting data formats
    - Extracting data
  tool:
    - ArcGIS Online
  date: "2025-05-30"
  series: MDL Tutorials
  type: Tutorial
- id: 9
  title: Geospatial Analysis with Python & Jupyter Notebooks
  url: https://mdlutoronto.github.io/python-jupyter-notebooks-geospatial-analysis/
  description: |
    This tutorial provides detailed walk-throughs of how to use Jupyter Notebooks and open-source Python libraries to perform geospatial analysis.
  technique:
    - Spatial Analysis
  tool:
    - Python
  date: "2025-05-29"
  series: MDL Tutorials
  type: Tutorial
- id: 10
  title: Working with the Data Axle Historical Business Location Data
  url: https://mdlutoronto.github.io/working-data-axle-historical-business-location/
  description: |
    The Data Axle Historical Business Location Data provides one data file (.txt or .csv format) for each year. The [US data](https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/GY5K1C) runs from 1997-2024 and contains 11-15 million records per year. The [Canadian data](https://borealisdata.ca/dataset.xhtml?persistentId=doi:10.5683/SP3/IPKREG) runs from 2009-2023 and contains 1.5-2.5 million records per year. Records provide information about business location (including address, census geography & lat/long coordinates (US database only)), number of employees, sales volume, NAICS & SIC codes, unique identifier across time for businesses and parent entities. Complete record layouts and decodes are available for download via the Borealis links above.
  date: "2025-05-22"
  series: MDL Tutorials
  type: Tutorial
- id: 11
  title: Accessing and Querying the Revelio Datasets
  url: https://mdlutoronto.github.io/revelio-datasets-accessing-querying/
  description: |
    The University of Toronto has licensed six separate datasets from [Revelio Labs](https://www.reveliolabs.com/data/). These are workforce datasets that range in size from 1 to 4 TB. To facilitate easy access and querying across products, all datasets have been loaded into SciNet's supercomputing environment. Access to this environment can only be granted to current University of Toronto Faculty, Staff and Students, after an application process. This page contains additional details about this process, as well as the data itself and how to query it.
  technique:
    - Quantitative Data Analysis
  date: "2025-05-21"
  series: MDL Tutorials
  type: Tutorial
- id: 12
  title: Introduction to Working with Notebooks in ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-intro-working-notebooks/
  description: |
    This guide provides some introductory information on how to use notebooks in the ArcGIS Pro environment. You will learn about what notebooks are, how to use them, and some useful tips on using ArcPy to analyze your geospatial data.
  technique:
    - Data Visualization
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2025-02-18"
  series: MDL Tutorials
  type: Tutorial
- id: 13
  title: "Bits and Bytes Series: Canadian Census Discovery Portal (Sept. 22, 2020)"
  url: https://mdlutoronto.github.io/bits-bytes-series-canadian-census-discovery-sep-22-2020/
  description: |
    This page provides a presentation on the **Canadian Census Discovery Portal** as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
  technique:
    - Searching for maps and data
  date: "2025-02-13"
  series: Bits and Bytes
  type: Video
- id: 14
  title:
    "Bits and Bytes Series: Constellate - A New Platform to Learn Text Analysis
    (Jun. 28, 2021)"
  url: https://mdl.library.utoronto.ca/technology/tutorials/bits-and-bytes-series-constellate-new-platform-learn-text-analysis-jun-28-2021
  description: |
    Please note that Constellate is ending on July 1st, 2025. Some learning materials will remain available afterwards. This page provides a presentation on Constellate: A New Platform to Learn Text Analysis as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
  technique:
    - Text and Data Mining
  tool:
    - Constellate
  date: "2025-02-13"
  series: Bits and Bytes
  type: Tutorial
- id: 15
  title: "Bits and Bytes Series: Getting Started with Python in ArcGIS Pro (Nov. 17, 2020)"
  url: https://mdlutoronto.github.io/bits-bytes-series-getting-started-python-nov-17-2020/
  description: |
    This page provides a presentation on **Getting Started with Python in ArcGIS Pro** as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
  technique:
    - Mapping
    - Spatial Analysis
    - Projecting
  tool:
    - ArcGIS Pro
    - Python
  date: "2025-02-13"
  series: Bits and Bytes
  type: Video
- id: 16
  title: "Bits and Bytes Series: Introduction to Dataverse for Sharing Data (Dec.1, 2020)"
  url: https://mdl.library.utoronto.ca/technology/tutorials/bits-and-bytes-series-introduction-dataverse-sharing-data-dec-1-2020
  description: |
    This page provides a presentation on an **Introduction to Dataverse for Sharing Data** as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
  date: "2025-02-13"
  series: Bits and Bytes
  type: Tutorial
- id: 17
  title: "Bits and Bytes Series: Introduction to Web APIs (Apr. 1, 2021)"
  url: https://mdlutoronto.github.io/bits-bytes-series-intro-web-apis-apr-1-2021/
  description: |
    This page provides a presentation on an **Introduction to Web APIs** as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
  technique:
    - Text and Data Mining
    - Searching for maps and data
  date: "2025-02-13"
  series: Bits and Bytes
  type: Video
- id: 18
  title: "Bits and Bytes Series: Using LiDAR Data in ArcGIS Pro (Feb. 25, 2021)"
  url: https://mdlutoronto.github.io/bits-bytes-series-lidar-data-arcgis-feb-25-2021/
  description: |
    This page provides a presentation on **Using LiDAR Data in ArcGIS Pro** as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
  technique:
    - Mapping
  tool:
    - ArcGIS Pro
  date: "2025-02-13"
  series: Bits and Bytes
  type: Video
- id: 19
  title: "Bits and Bytes Series: Working with Web Archive Data (Sept. 29, 2020)"
  url: https://mdlutoronto.github.io/bits-bytes-series-working-web-archive-sep-29-2020/
  description: |
    This page provides a presentation on **Working with Web Archive Data** as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
  technique:
    - Searching for maps and data
    - Extracting data
  date: "2025-02-13"
  series: Bits and Bytes
  type: Video
- id: 20
  title: "An Introduction to Programming for Absolute Beginners Using Python Pt. 2 (March, 2025)"
  url: https://mdlutoronto.github.io/python-programming-absolute-beginners-part2-mar-2025/
  description: |
    This page provides a video recording of an introductory workshop on Python, continuing from where the first part of the Python series left off.
  tool:
    - Python
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 21
  title: "Workshop Recording: An Introduction to Programming for Absolute Beginners Using Python Pt. 1 (March 2025)"
  url: https://mdlutoronto.github.io/python-programming-absolute-beginners-part1-mar-2025/
  description: |
    This page provides a video recording of the first part of an introductory workshop series on Python.
  tool:
    - Python
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 22
  title: "Workshop Recording: Excel: Beyond the Basics (Oct. 25, 2022)"
  url: https://mdlutoronto.github.io/workshop-excel-beyond-basics-oct-25-2022/
  description: |
    This page provides a video recording of a workshop on using intermediate features of Excel.
  technique:
    - Extracting data
  tool:
    - Excel
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 23
  title: "Workshop Recording: Introduction to Data Visualization Using Tableau Desktop (Nov. 24, 2021)"
  url: https://mdlutoronto.github.io/workshop-intro-data-viz-tableau-nov-24-2021/
  description: |
    This page provides a video recording of an introductory workshop on using Tableau Desktop for data visualization.
  technique:
    - Data Visualization
  tool:
    - Tableau
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 24
  title: "Workshop Recording: Introduction to Infographics (Feb. 3, 2022 - Social Science Critique Example)"
  url: https://mdlutoronto.github.io/workshop-intro-infographics-2022-social-feb-3-2022/
  description: |
    This page provides a video recording of a workshop on best practices for creating infographics - with a specific social science related infographic critique example.
  technique:
    - Data Visualization
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 25
  title: "Workshop Recording: Introduction to Infographics (Nov. 16, 2021 - Health Critique Example)"
  url: https://mdlutoronto.github.io/workshop-intro-infographics-2021-health-nov-16-2021/
  description: |
    This page provides a video recording of a workshop on best practices for creating infographics - with a specific health-related infographic critique example.
  technique:
    - Data Visualization
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 26
  title: "Workshop Recording: Introduction to Network Analysis and Visualization Using Gephi (Nov. 2, 2021)"
  url: https://mdlutoronto.github.io/workshop-intro-network-analysis-viz-gephi-nov-2-2021/
  description: |
    This page provides a video recording of an introductory workshop on using Gephi for network analysis and visualization.
  technique:
    - Data Visualization
  tool:
    - Gephi
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 27
  title: "Workshop Recording: Introduction to NVivo 12 (Mac Version) (Mar. 17, 2022)"
  url: https://mdlutoronto.github.io/workshop-intro-nvivo-mac-version-mar-17-2022/
  description: |
    This page provides a video recording of an introductory workshop on NVivo 12 for Mac.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 28
  title: "Workshop Recording: Introduction to R (Dec. 8, 2020)"
  url: https://mdlutoronto.github.io/workshop-intro-r-2020-dec-8-2020/
  description: |
    This page provides a video recording of an introductory workshop on using the R statistical programming language.
  technique:
    - Data Visualization
    - Cleaning data
    - Extracting data
  tool:
    - R
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 29
  title: "Workshop Recording: Introduction to Stata (Dec. 3, 2021)"
  url: https://mdlutoronto.github.io/workshop-intro-stata-2021-dec-3-2021/
  description: |
    This page provides a video recording of an introductory workshop on Stata.
  technique:
    - Converting data formats
    - Cleaning data
    - Extracting data
  tool:
    - Stata
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 30
  title: "Workshop Recording: Introduction to Using NVivo 14/15 for Qualitative Data Analysis (Mac Version) (Nov. 26, 2024)"
  url: https://mdlutoronto.github.io/workshop-intro-nvivo-qualitative-nov-26-2024/
  description: |
    This page provides a video recording of an introductory workshop on NVivo 14/15 for Mac.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 31
  title: "Workshop Recording: Introduction to Using NVivo 14/15 for Qualitative Data Analysis (Windows Version) (Nov. 12, 2024)"
  url: https://mdlutoronto.github.io/workshop-intro-nvivo-qualitative-nov-12-2024/
  description: |
    This page provides a video recording of an introductory workshop on NVivo 14/15 for Windows.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2025-01-28"
  series: MDL Tutorials
  type: Video
- id: 32
  title: "Workshop Recording: Text Analysis Tasting Menu: A Sampling of Available Tools (Feb. 14, 2022)"
  url: https://mdl.library.utoronto.ca/technology/tutorials/workshop-recording-text-analysis-tasting-menu-sampling-available-tools-feb-14
  description: |
    This page provides a video recording of a workshop on various text analysis tools.

    **Please note that [Constellate](https://constellate.org/docs/constellate-sunset) is ending on July 1st, 2025. **Some learning materials will remain available afterwards. Please also note that HathiTrust Research Center will no longer be funded by the end of 2026.
  technique:
    - Text and Data Mining
    - Cleaning data
    - Extracting data
  tool:
    - Constellate
    - Digital Scholar Lab
    - HathiTrust Research Center
  date: "2025-01-28"
  series: MDL Tutorials
  type: Tutorial
- id: 33
  title: "Workshop Recording: Working with Messy Data in OpenRefine (Oct. 28, 2021)"
  url: https://mdl.library.utoronto.ca/technology/tutorials/workshop-recording-working-messy-data-openrefine-oct-28-2021
  description: |
    This page provides a video recording of a workshop on OpenRefine.
  technique:
    - Cleaning data
  tool:
    - OpenRefine
  date: "2025-01-28"
  series: MDL Tutorials
  type: Tutorial
- id: 34
  title: "Self-Paced Online Course: Data Visualization - An Introduction (Part 1 – Theory and Critique)"
  url: https://mdlutoronto.github.io/self-paced-data-viz-part-1/
  description: |
    This page provides access to a Data Visualization self-paced online Quercus course that focuses on data viz theory and provides opportunities to practice critiquing visualizations.
  technique:
    - Data Visualization
  date: "2025-01-24"
  series: MDL Tutorials
  type: Self-paced course
- id: 35
  title: "Self-Paced Online Course: Data Visualization - An Introduction (Part 2 – Practice with Tableau)"
  url: https://mdlutoronto.github.io/self-paced-data-viz-part-2/
  description: |
    This page provides access to a Data Visualization self-paced online Quercus course that introduces participants to Tableau Desktop. Participants will learn to create visualizations using some example datasets.
  technique:
    - Data Visualization
  tool:
    - Tableau
  date: "2025-01-24"
  series: MDL Tutorials
  type: Self-paced course
- id: 36
  title: "Self-Paced Online Course: Introduction to Infographics"
  url: https://mdlutoronto.github.io/self-paced-intro-infographics/
  description: |
    This page provides access to an Infographics self-paced online Quercus
    course that focuses on best practices for creating infographics.
  technique:
    - Data Visualization
  tool:
    - Piktochart
  date: "2025-01-24"
  series: MDL Tutorials
  type: Self-paced course
- id: 37
  title: "Self-Paced Online Course: R - An Introduction"
  url: https://mdlutoronto.github.io/self-paced-intro-r/
  description: |
    This page provides access to a self-paced online Quercus course that focuses on how to use R for exploring and manipulating data.
  technique:
    - Data Visualization
    - Cleaning data
    - Extracting data
  tool:
    - R
  date: "2025-01-24"
  series: MDL Tutorials
  type: Self-paced course
- id: 38
  title: "Self-Paced Online Course: R - Intermediate"
  url: https://mdlutoronto.github.io/self-paced-intermediate-r/
  description: |
    This page provides access to a self-paced online Quercus course that focuses on using R for intermediate level data manipulation and visualization, and programming flow control.
  technique:
    - Data Visualization
    - Cleaning data
    - Extracting data
  tool:
    - R
  date: "2025-01-24"
  series: MDL Tutorials
  type: Self-paced course
- id: 39
  title: "Self-Paced Online Course: Working with Messy Data in OpenRefine"
  url: https://mdlutoronto.github.io/self-paced-openrefine-messy-data/
  description: |
    This page provides access to a self-paced online Quercus course that focuses on data cleaning using OpenRefine.
  technique:
    - Cleaning data
  tool:
    - OpenRefine
  date: "2025-01-24"
  series: MDL Tutorials
  type: Self-paced course
- id: 40
  title: "Workshop Recording: An Introductory Tour of ArcGIS Pro (Oct. 1, 2024)"
  url: https://mdlutoronto.github.io/workshop-intro-arcgis-pro-oct-1-2024/
  description: |
    This page provides a video recording of an introductory workshop on ArcGIS Pro.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2025-01-24"
  series: MDL Tutorials
  type: Video
- id: 41
  title: "Workshop Recording: ArcGIS Pro -  Spatial Analysis (Nov. 1, 2024)"
  url: https://mdlutoronto.github.io/workshop-arcgis-pro-spatial-analysis-nov-1-2024/
  description: |
    This page provides a video recording of a workshop in ArcGIS Pro focusing on spatial analysis.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2025-01-24"
  series: MDL Tutorials
  type: Video
- id: 42
  title: "Workshop Recording: ArcGIS Pro - Loading and Manipulating Data (Oct. 15, 2024)"
  url: https://mdlutoronto.github.io/workshop-arcgis-pro-loading-manipulating-data-oct-15-2024/
  description: |
    This page provides a video recording of a workshop on ArcGIS Pro that focuses on loading and manipulating data.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2025-01-24"
  series: MDL Tutorials
  type: Video
- id: 43
  title: "Workshop Recording: Constellate - A New Platform for Text Analysis (Nov. 30, 2021)"
  url: https://mdl.library.utoronto.ca/technology/tutorials/workshop-recording-constellate-new-platform-text-analysis-nov-30-2021
  description: |
    This page provides a video recording of an introductory workshop on Constellate. Please note that Constellate is ending on July 1st, 2025. Some learning materials will remain available afterwards.
  technique:
    - Text and Data Mining
  tool:
    - Constellate
  date: "2025-01-24"
  series: MDL Tutorials
  type: Tutorial
- id: 44
  title: "Workshop Recording: Introduction to NVivo 12 (Windows Version) (Mar. 15, 2022)"
  url: https://mdlutoronto.github.io/workshop-intro-nvivo-windows-version-mar-15-2022/
  description: |
    This page provides a video recording of a introductory workshop on NVivo 12 for Windows.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2025-01-24"
  series: MDL Tutorials
  type: Video
- id: 45
  title: Downloading, Installing, and Licensing ArcGIS CityEngine
  url: https://mdlutoronto.github.io/arcgis-cityengine-install-license/
  description: |
    This tutorial goes over how to download, install, and license ArcGIS CityEngine with your UTORid.
  technique:
    - Mapping
    - Spatial Analysis
    - Installation
  tool:
    - ArcGIS
  date: "2024-11-21"
  series: MDL Tutorials
  type: Tutorial
- id: 46
  title: Introduction to GIS using R
  url: https://mdlutoronto.github.io/r-gis-intro/
  description: |
    This tutorial is a beginner friendly introduction to work with GIS data using R. The topics covered are creating and importing GIS data including point, line, and polygon features; making maps; and running common spatial analyses. The main spatial package used is the sf package.
  technique:
    - Quantitative Data Analysis
    - Mapping
    - Spatial Analysis
  tool:
    - R
  dataFormat: Microdata
  date: "2024-09-19"
  series: MDL Tutorials
  type: Tutorial
- id: 47
  title: Installing and Licensing NVivo 15 for Mac
  url: https://mdlutoronto.github.io/nvivo-15-mac-install-license/
  description: |
    This tutorial is for installing and licensing **NVivo 15** on Mac computers.

    Find information on how to request a license, download and install the software, as well as how to activate the license key for new and existing users. *Note: If you need NVivo 14, please reach out to us using our [contact form](https://mdl.library.utoronto.ca/about/contact-form)*
  technique:
    - Installation
  tool:
    - NVivo
  date: "2024-09-06"
  series: MDL Tutorials
  type: Tutorial
- id: 48
  title: Installing and Licensing NVivo 15 for Windows
  url: https://mdlutoronto.github.io/nvivo-15-windows-install-license/
  description: |
    This tutorial is for installing and licensing **NVivo 15** on Windows computers. Find information on how to request a license, download and install the software, as well as how to activate the license key for new and existing users. *Note: If you need NVivo 14, please reach out to us using our [contact form](https://mdl.library.utoronto.ca/about/contact-form)*
  technique:
    - Installation
  tool:
    - NVivo
  date: "2024-08-30"
  series: MDL Tutorials
  type: Tutorial
- id: 49
  title: Guide for Site Research
  url: https://mdlutoronto.github.io/site-research-guide/
  description: |
    Site research involves the comprehensive analysis of a location's physical, cultural, and environmental characteristics. This process encompasses assessing topography, climate, zoning regulations, and existing infrastructure, as well as understanding the historical and social context of the site. Other terms often used interchangeably with site research include site analysis, site assessment, and contextual analysis.
  technique:
    - Searching for maps and data
  dataFormat:
    - Paper maps
    - Statistics
    - Vector
  date: "2024-08-12"
  series: MDL Tutorials
  type: Guide
- id: 50
  title: Introduction to R Shiny
  url: https://mdlutoronto.github.io/r-shiny-intro/
  description: |
    Shiny is a powerful open-source tool that is used to build easy interactive web applications. This guide will help users get started in creating R Shiny applications.
  technique:
    - Quantitative Data Analysis
    - Data Visualization
  tool:
    - R
  dataFormat: Microdata
  date: "2024-03-27"
  series: MDL Tutorials
  type: Tutorial
- id: 51
  title: Adding Media Layers in ArcGIS Online
  url: https://mdlutoronto.github.io/arcgis-online-adding-media-layers/
  description: |
    This tutorial will cover how to 'georeference' a raster image through media layers in ArcGIS Online.
  technique:
    - Georeferencing
  tool:
    - ArcGIS Online
  dataFormat: Raster
  date: "2024-03-15"
  series: MDL Tutorials
  type: Tutorial
- id: 52
  title: Creating a point layer of locations in ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-creating-point-layer-locations/
  description: |
    This is a beginner’s guide to creating a point layer in ArcGIS Pro using the latitude and longitude of the locations you wish to display. How to locate coordinates online will be discussed. The first part of this guide will walk you through creating an Excel file of coordinates found in decimal degrees that are set up and ready to be imported into ArcGIS. This guide will then walk you through bringing your data into ArcGIS and creating your point layer on top of a base layer of countries.
  tool:
    - ArcGIS Pro
    - Excel
  dataFormat: Vector
  date: "2024-02-20"
  series: MDL Tutorials
  type: Tutorial
- id: 53
  title: Mapping Census Data in ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-mapping-census-data/
  description: |
    This tutorial will cover how to download census data and census boundary files and match them together in ArcGIS Pro for further analysis. Census data will be downloaded using CHASS.
  technique:
    - Data Visualization
    - Searching for maps and data
  tool:
    - ArcGIS Pro
    - CHASS Census Analyzer
  dataFormat:
    - Statistics
    - Vector
  date: "2024-02-09"
  series: MDL Tutorials
  type: Tutorial
- id: 54
  title: Converting GIS data to AutoCAD in ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-converting-gis-data-to-autocad/
  description: |
    This tutorial will demonstrate how to convert geospatial datasets saved as shapefiles into AutoCAD format.
  technique:
    - Projecting
    - Converting data formats
  tool:
    - ArcGIS Pro
  dataFormat: Vector
  date: "2024-02-06"
  series: MDL Tutorials
  type: Tutorial
- id: 55
  title: Extracting the geographic features you need from a larger dataset in ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-extracting-geographic-features-from-larger-dataset/
  description: |
    You may have noticed that many GIS datasets contain information about a geographic extent that is larger than your area of interest. Your research may involve analysis of data related to a single municipality in Ontario, yet you have only been able to locate a dataset showing all municipalities located within the province. Alternatively, you may be interested in only displaying a selection of features on your completed map, such as the Canadian cities you have selected as case studies for your research. This tutorial will demonstrate how to extract just the features you need from larger datasets, saving them to new files that you can then use to map and analyze your data.
  technique:
    - Extracting data
  tool:
    - ArcGIS Pro
  dataFormat: Vector
  date: "2024-02-06"
  series: MDL Tutorials
  type: Tutorial
- id: 56
  title: Creating contours using ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-creating-contours/
  description: |
    Digital elevation models (DEMs) are geospatial datasets that contain elevation values sampled according to a regularly spaced rectangular grid. They can be used in terrain analysis, SD visualizations and hydrological modelling, among other applications. DEMs can be stored in several different formats; however, conversion into a raster dataset is often required for many processes. This tutorial explains how to derive contours from DEMs using ArcGIS Pro.
  tool:
    - ArcGIS Pro
  dataFormat:
    - DEM
    - Raster
  date: "2024-01-17"
  series: MDL Tutorials
  type: Tutorial
- id: 57
  title: Clipping Rasters in ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-clipping-rasters/
  description: |
    This tutorial covers two methods for clipping raster datasets from ArcGIS Pro.
  technique:
    - Extracting data
  tool:
    - ArcGIS Pro
  dataFormat:
    - DEM
    - Raster
  date: "2024-01-15"
  series: MDL Tutorials
  type: Tutorial
- id: 58
  title: Projecting your data in ArcGIS Pro
  url: https://mdlutoronto.github.io/projecting-data-arcgis-pro/
  description: |
    In order for many GIS functions to work properly, your datasets need to be stored in a common projected coordinate system. This guide will assist you with the projection process in ArcGIS Pro. (Unsure of what the appropriate projection is for your area of interest? Refer to this [help document](https://mdlutoronto.github.io/selecting-right-projection/) or ask a staff member for assistance in helping you determine it.)
  technique:
    - Projecting
  tool:
    - ArcGIS Pro
  dataFormat:
    - Raster
    - Vector
  date: "2024-01-08"
  series: MDL Tutorials
  type: Tutorial
- id: 59
  title: Exporting Data from OpenStreetMap for QGIS
  url: https://mdlutoronto.github.io/qgis-exporting-data-openstreetmap/
  description: |
    In the case you need to acquire detailed city data to produce a large-scale map and we don’t have what you’re looking for in our data inventory, there is a chance that the user-contributed maps of OpenStreetMap.org may do the trick. QGIS can query and load this data into your map for a specified area of interest. The data can then be exported into common geospatial file formats.
  tool:
    - QGIS
  dataFormat: Vector
  date: "2023-12-08"
  series: MDL Tutorials
  type: Tutorial
- id: 60
  title: Importing Alternative Sources in NVivo 14/15 for Mac
  url: https://mdlutoronto.github.io/nvivo-14-15-mac-importing-alternative-sources/
  description: |
    NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Data menu, by choosing the appropriate option. However, this tutorial will show you a common source of data that you might want to code in NVivo that is a bit more complicated to import.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-11-20"
  series: MDL Tutorials
  type: Tutorial
- id: 61
  title: Importing Alternative Sources in NVivo 14/15 for Windows
  url: https://mdlutoronto.github.io/nvivo-14-15-windows-importing-alternative-sources/
  description: |
    NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Import Ribbon, by choosing the Files option. However, this tutorial will show you two common sources of data that you might want to code in NVivo that are a bit more complicated to import.
  tool:
    - NVivo
  date: "2023-11-20"
  series: MDL Tutorials
  type: Tutorial
- id: 62
  title: Installing and Licensing NVivo 14
  url: https://mdlutoronto.github.io/nvivo-14-install-license/
  description: |
    This tutorial describes how to request a license for NVivo 14, download it, and license it.
  technique:
    - Installation
  tool:
    - NVivo
  date: "2023-11-20"
  series: MDL Tutorials
  type: Tutorial
- id: 63
  title: Introduction to NVivo 14/15 for Mac
  url: https://mdlutoronto.github.io/nvivo-14-15-mac-intro/
  description: |
    This is a beginner level tutorial for NVivo 14 or 15 for Mac (the versions are almost identical). The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with codes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to Part 2.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-11-20"
  series: MDL Tutorials
  type: Tutorial
- id: 64
  title: Introduction to NVivo 14/15 for Windows
  url: https://mdlutoronto.github.io/nvivo-14-15-windows-intro/
  description: |
    This is a beginner level tutorial for NVivo 14 or 15 for Windows (the versions are almost identical). The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with codes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to Part 2.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-11-20"
  series: MDL Tutorials
  type: Tutorial
- id: 65
  title: How to georeference images in ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-georeference-images/
  description: |
    This tutorial will explain how to georeference a raster image in ArcGIS so it can be used as an overlay or for digitizing purposes.
  technique:
    - Georeferencing
  tool:
    - ArcGIS Pro
  dataFormat: Raster
  date: "2023-11-03"
  series: MDL Tutorials
  type: Tutorial
- id: 66
  title: Introduction to GGPLOT2
  url: https://mdl.library.utoronto.ca/technology/tutorials/ggplot2
  technique:
    - Data Visualization
  tool:
    - R
  date: "2023-07-12"
  series: MDL Tutorials
  type: Tutorial
- id: 67
  title: PCCF Guide
  url: https://mdlutoronto.github.io/pccf-guide/
  description: |
    In this tutorial, we will use the Postal Code Conversion File (PCCF) to match postal codes to dissemination areas in order to incorporate additional neighbourhood-level demographic data into your dataset.
  technique:
    - Quantitative Data Analysis
  tool:
    - R
    - SAS
    - SPSS
    - Stata
    - Python
  dataFormat: Microdata
  date: "2023-06-06"
  series: MDL Tutorials
  type: Tutorial
- id: 68
  title: PCCF+ Guide
  url: https://mdlutoronto.github.io/pccf-plus-guide/
  description: |
    In this tutorial, we will use the Postal Code Conversion File Plus (PCCF+) to match postal codes to dissemination areas in order to incorporate additional neighbourhood-level demographic data into your dataset.
  technique:
    - Quantitative Data Analysis
  tool:
    - R
    - SAS
    - SPSS
    - Stata
    - Python
  dataFormat: Microdata
  date: "2023-06-06"
  series: MDL Tutorials
  type: Tutorial
- id: 69
  title: Importing Alternative Sources in NVivo 12 for Mac
  url: https://mdl.library.utoronto.ca/technology/tutorials/importing-alternative-sources-nvivo-12-mac
  description: |
    NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Data menu, by choosing the appropriate option. However, this tutorial will show you two common sources of data that you might want to code in NVivo that are a bit more complicated to import.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-03-10"
  series: MDL Tutorials
  type: Tutorial
- id: 70
  title: Importing Alternative Sources in NVivo 12 for Windows
  url: https://mdl.library.utoronto.ca/technology/tutorials/importing-alternative-sources-nvivo-12-windows
  description: |
    NVivo can handle many types of files, such as text, audio, videos, images, etc. You would import these from the Import Ribbon, by choosing the Files option. However, this tutorial will show you two common sources of data that you might want to code in NVivo that are a bit more complicated to import.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-03-10"
  series: MDL Tutorials
  type: Tutorial
- id: 71
  title: Intermediate R Course
  url: https://mdlutoronto.github.io/r-course-intermediate/
  description: |
    To get started with intermediate R, enroll in this Intermediate R quercus course here. To enroll, you will need to use your UTORid login. This course consists of demonstration videos. By enrolling in this course, you can keep track of your progress! If you are a member of the public and you do not have a UTORid login, you can access the videos in the following guide below.
  technique:
    - Data Visualization
    - Cleaning data
    - Extracting data
  tool:
    - R
  date: "2023-02-27"
  series: MDL Tutorials
  type: Self-paced course
- id: 72
  title: "Excel: Beyond The Basics - Mac"
  url: https://mdlutoronto.github.io/excel-beyond-basics-mac/
  description: |
    About this workshop

    **What**: This is a beginner to intermediate tutorial, that will allow you to gain a deeper understanding of the uses and types of data that can be manipulated in Excel, an extremely popular spreadsheet software. Through practical exercises using real world data from the Toronto Transit Commission (TTC), you will learn important terminology and software features, and gain a better understanding of Excel’s built-in methods for data manipulation and cleaning, as well as analysis and visualization.

    **Why**: Excel is a popular spreadsheet software that allows you to organize, modify and analyze your data. It remains one of the most widely used software for data analytics. A deeper understanding of Excel will help you better navigate the tool to work with your data sets, in the classroom and beyond.

    **Who**: This tutorial assumes you have used Excel before at a basic level, but haven’t explored all it has to offer. There are no prerequisites or assumptions of knowledge of math, statistics, or programming!

    **Software**: Excel is freely available for download for University of Toronto staff, faculty and students. Note: This tutorial is intended for Mac users. If you are using Windows, check out this tutorial instead.

    **Code of Conduct**: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more, check out our Code of Conduct.

    **For help contact**: Map & Data Library, mdl@library.utoronto.ca
  tool:
    - Excel
  date: "2023-02-21"
  series: MDL Tutorials
  type: Tutorial
- id: 73
  title: "Excel: Beyond The Basics - Windows"
  url: https://mdl.library.utoronto.ca/technology/tutorials/excel-beyond-basics-windows
  description: |
    About this workshop

    **What**: This is a beginner to intermediate tutorial, that will allow you to gain a deeper understanding of the uses and types of data that can be manipulated in Excel, an extremely popular spreadsheet software. Through practical exercises using real world data from the Toronto Transit Commission (TTC), you will learn important terminology and software features, and gain a better understanding of Excel’s built-in methods for data manipulation and cleaning, as well as analysis and visualization.

    **Why**: Excel is a popular spreadsheet software that allows you to organize, modify and analyze your data. It remains one of the most widely used software for data analytics. A deeper understanding of Excel will help you better navigate the tool to work with your data sets, in the classroom and beyond.

    **Who**: This tutorial assumes you have used Excel before at a basic level, but haven’t explored all it has to offer. There are no prerequisites or assumptions of knowledge of math, statistics, or programming!

    **Software**: Excel is freely available for download for University of Toronto staff, faculty and students.

    **Note**: This tutorial is intended for Windows users. If you are using a Mac, check out this tutorial instead.

    **Code of Conduct**: Map & Data Library (MDL) workshops are a welcoming and inclusive environment for learning. To learn more, check out our Code of Conduct.

    **For help contact**: Map & Data Library, mdl@library.utoronto.ca
  tool:
    - Excel
  date: "2023-02-21"
  series: MDL Tutorials
  type: Tutorial
- id: 74
  title: Digital Scholar Lab - Collaboration and Notes
  url: https://mdlutoronto.github.io/dsl-collaboration-notes/
  description: |
    [Return to the main Gale Digital Scholar Lab tutorial](https://mdl.library.utoronto.ca/technology/tutorials/digital-humanities-tools-digital-scholar-lab)

    Here is how to collaborate between users in the Gale Digital Scholar Lab using the Workspace and Notes features. This allows for a shared workspace and options for documenting your steps.
  tool:
    - Digital Scholar Lab
  date: "2023-02-07"
  series: MDL Tutorials
  type: Tutorial
- id: 75
  title: "Python: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/python-info-tutorials-workshops/
  description: |
    Python is a simple programming language that is popular for being easy to learn to read, write, and understand. You can use Python for automating repetitive tasks like cleaning data, creating data visualizations, analyzing data, conducting complex statistical calculations, or even building machine learning algorithms. Its ease of use and versatility means that many tools have been built on top of Python, but being able to explore those requires a good foundation and understanding of the language itself first!
  tool:
    - Python
  date: "2023-02-03"
  series: MDL Tutorials
  type: Guide
- id: 76
  title: Qualitative Data Analysis Software Options
  url: https://mdl.library.utoronto.ca/technology/tutorials/qualitative-data-analysis-software-options
  description: |
    UofT currently subscribes to the latest few versions of NVivo. Consult our [NVivo software license page](https://mdl.library.utoronto.ca/technology/nvivo-software) to request a license key. Consult our [getting started guide for NVivo](https://mdl.library.utoronto.ca/technology/tutorials/nvivo-12-information-tutorials-and-workshops) or our for tutorials, resources, and workshop recordings to help you get started using the software.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-01-27"
  series: MDL Tutorials
  type: Tutorial
- id: 77
  title: Transcription Options
  url: https://mdl.library.utoronto.ca/technology/tutorials/transcription-options
  description: |
    If you have an audio or video file that you need to get transcribed, this page describes some automated options to consider. But keep in mind, though, that none of these options (including NVivo transcription) provides a 100% perfectly accurate transcript. You will always have to go back in and correct your transcript.

    Note: If you want to pay a human to transcribe things accurately (so no or minimal correction is needed later), you could try [Rev](https://www.rev.com/) or [Transcript Divas](https://transcriptdivas.co.uk/about/).
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-01-27"
  series: MDL Tutorials
  type: Tutorial
- id: 78
  title: Working in Teams Using NVivo
  url: https://mdl.library.utoronto.ca/technology/tutorials/working-teams-using-nvivo
  description: |
    This page provides an overview and tips for working as a team using NVivo. There are three main options: the manual way, the old collaboration cloud, and the new collaboration cloud. There is also [NVivo Collaboration Server](https://community.lumivero.com/s/article/TRC-Using-NVivo-with-NVivo-Collaboration-Server?language=en_US), but that involves purchasing, setting up, and maintaining NVivo Server software, and it only works in a Windows environment with NVivo 12 or 13.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2023-01-27"
  series: MDL Tutorials
  type: Tutorial
- id: 79
  title: Getting Started with the Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database - Windows
  url: https://mdlutoronto.github.io/cipo-windows/
  description: |
    This tutorial will help you get up and running querying the [Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database](https://mdl.library.utoronto.ca/technology/text-data-mining-software/cipo-postgresql-database). It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.

    You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the [instructions to get your account set up](https://mdl.library.utoronto.ca/technology/tutorials/how-access-web-science-postgresql-database).

    Note: This tutorial is intended for Windows users. If you are using a Mac, check out this [tutorial](https://mdl.library.utoronto.ca/technology/tutorials/getting-started-cipo-postgresql-database-MAC) instead.
  date: "2023-01-05"
  series: MDL Tutorials
  type: Tutorial
- id: 80
  title: Getting Started with the Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database - Mac
  url: https://mdlutoronto.github.io/cipo-mac/
  description: |
    This tutorial will help you get up and running querying the [Canadian Intellectual Property Office (CIPO) Patent PostgreSQL Database](https://mdl.library.utoronto.ca/technology/text-data-mining-software/cipo-postgresql-database). It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.

    You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the [instructions to get your account set up](https://mdl.library.utoronto.ca/technology/tutorials/how-access-web-science-postgresql-database).

    Note: This tutorial is intended for Mac users. If you are using Windows, check out this [tutorial](https://mdl.library.utoronto.ca/technology/tutorials/getting-started-cipo-postgresql-database-WINDOWS) instead.
  date: "2022-11-30"
  series: MDL Tutorials
  type: Tutorial
- id: 81
  title: An Introduction to Mapping and Spatial Analysis with QGIS
  url: https://mdl.library.utoronto.ca/technology/tutorials/introduction-mapping-and-spatial-analysis-qgis
  description: |-
    Learn the basics of GIS with open source software, QGIS (https://qgis.org).

    This tutorial/workshop is made up of three modules.

    - Module 1. Getting started

    - Module 2. Making a map using layouts

    - Module 3. Manipulating geospatial datasets

    Download the datasets used for this workshop at this location: https://maps.library.utoronto.ca/workshops/QGIS/2022/QGIS.zip

    Note that while the examples shown in this tutorial were captured using the windows version of QGIS, all modules and operations can be completed using the linux or mac OS version of QGIS.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - QGIS
  date: "2022-11-01"
  series: MDL Tutorials
  type: Tutorial
- id: 82
  title: Introduction to R Course
  url: https://mdlutoronto.github.io/r-course-intro/
  description: |
    For a gentle and thorough introduction to R, enroll in this [Introduction to R](https://q.utoronto.ca/courses/176769/assignments/syllabus) quercus course [here](https://q.utoronto.ca/enroll/ET679B). To enroll, you will need to use your UTORid login. This course consists of demonstration video, activity and quizzes. By enrolling in this course, you can keep track of your progress! If you are a member of the public and you do not have a UTORid login, you can access the videos in the following guide below.
  technique:
    - Data Visualization
    - Cleaning data
    - Extracting data
  tool:
    - R
  date: "2022-09-16"
  series: MDL Tutorials
  type: Self-paced course
- id: 83
  title: Introduction to NVivo 12 for Mac
  url: https://mdl.library.utoronto.ca/technology/tutorials/introduction-nvivo-12-mac
  description: |
    This is a beginner level tutorial for NVivo 12 for Mac. The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with nodes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to [Part 2](https://mdl.library.utoronto.ca/technology/tutorials/introduction-nvivo-12-mac#Queries).
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2022-09-09"
  series: MDL Tutorials
  type: Tutorial
- id: 84
  title: Tableau Workshop Demonstration Tutorial
  url: https://mdlutoronto.github.io/tableau-workshop-demonstration-tutorial/
  description: |
    This tutorial outlines the steps taken in the demonstration during the live workshop on an Introduction to Data Visualization Using Tableau Desktop. This is a companion tutorial, but can also be used as a stand-alone introduction to Tableau Desktop.
  technique:
    - Data Visualization
  tool:
    - Tableau
  date: "2022-08-31"
  series: MDL Tutorials
  type: Tutorial
- id: 85
  title: Introduction to NVivo 12 for Windows
  url: https://mdl.library.utoronto.ca/technology/tutorials/introduction-nvivo-12-windows
  description: |
    This is a beginner level tutorial for NVivo 12 for Windows. The goal of this tutorial is to learn about the basic features in NVivo that will allow you to organize and analyze qualitative data. Part 1 will go over the basics of navigating the NVivo interface, importing data, and coding with nodes. Part 2 will explore the different types of queries you can run in NVivo. If you already have a grasp of the basics and are just interested in learning about queries, you can jump right to [Part 2](https://mdl.library.utoronto.ca/technology/tutorials/introduction-nvivo-12-windows#Queries).
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2022-08-18"
  series: MDL Tutorials
  type: Tutorial
- id: 86
  title: Introduction to SimplyAnalytics - Video Tutorials
  url: https://mdlutoronto.github.io/simplyanalytics-intro-video-tutorials/
  description: |
    [SimplyAnalytics](https://simplyanalytics.com/) is a web-based data visualization application that can be used to create simple thematic maps and support analyses of socio-demographic data. This tutorial introduces SimplyAnalytics and its capabilities with the help of [videos produced by our colleagues at UTSC](https://www.utsc.utoronto.ca/thebridge/.).
  technique:
    - Data Visualization
    - Mapping
  tool:
    - SimplyAnalytics
  date: "2022-07-22"
  series: MDL Tutorials
  type: Tutorial
- id: 87
  title: "ArcGIS Pro: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/arcgis-pro-info-tutorials-workshops/
  description: |
    [ArcGIS Pro](https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview) is a desktop GIS software developed by Esri.
  technique:
    - Mapping
    - Spatial Analysis
    - Searching for maps and data
  tool:
    - ArcGIS
    - ArcGIS Pro
  date: "2022-07-21"
  series: MDL Tutorials
  type: Guide
- id: 88
  title: "ArcGIS Online: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/arcgis-online-info-tutorials-workshops/
  description: |
    [ArcGIS Online](https://www.arcgis.com/index.html) is a web-based mapping software that allows you to build, share, and access interactive web maps.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Online
  date: "2022-06-20"
  series: MDL Tutorials
  type: Guide
- id: 89
  title: "ArcGIS StoryMaps: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/arcgis-storymapss-info-tutorials-workshops/
  description: |
    [ArcGIS StoryMaps](https://storymaps.arcgis.com/) is an online storytelling tool that allows users to craft and publish powerful narratives using maps.
  technique:
    - Data Visualization
    - Mapping
  tool:
    - ArcGIS Storymaps
  date: "2022-06-20"
  series: MDL Tutorials
  type: Tutorial
- id: 90
  title: "HathiTrust Research Center: Information, Tutorials, and Workshops"
  url: https://mdl.library.utoronto.ca/technology/tutorials/hathitrust-research-center-information-tutorials-and-workshops
  description: |
    The HathiTrust Research Center (HTRC) is the research arm of HathiTrust. It develops tools and resources that enable text or computational analysis of the HathiTrust corpus. This corpus or digital library includes over 10 million volumes (mostly books and journals), 3 million of which are in the public domain. It covers 400 languages and publication dates from 1500 to the present day, representing a broad variety of subjects.
  technique:
    - Data Visualization
    - Text and Data Mining
    - Extracting data
  tool:
    - HathiTrust Research Center
  date: "2022-05-09"
  series: MDL Tutorials
  type: Tutorial
- id: 91
  title: "Infographics: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/infographics-info-tutorials-workshops/
  description: |
    Infographics are a type of data visualization. They are usually a mixture of text and images, but they are graphic heavy, often only visualize a small amount of data, and have specific goals. Those goals are normally to inform or persuade through storytelling. They are often shared on websites and social media for marketing purposes, but they are becoming more popular in a variety of situations to convey your data and message to your audience in a more unique and appealing way.
  technique:
    - Data Visualization
  tool:
    - Piktochart
  date: "2022-05-09"
  series: MDL Tutorials
  type: Guide
- id: 92
  title: "ProQuest TDM Studio: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/proquest-tdm-studio-info-tutorials-workshops/
  description: |
    [ProQuest TDM Studio](https://about.proquest.com/en/products-services/TDM-Studio/) is a web platform for running text analyses on thousands of ProQuest materials, including but not limited to, ProQuest Dissertations & Theses and the New York Times.
  technique:
    - Data Visualization
    - Text and Data Mining
    - Extracting data
  date: "2022-05-09"
  series: MDL Tutorials
  type: Guide
- id: 93
  title: "Gale Digital Scholar Lab: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/dsl-info-tutorials-workshops/
  description: |
    The [Gale Digital Scholar Lab](https://www.gale.com/primary-sources/digital-scholar-lab) is a platform that allows users to discover and create collections of digitized texts from the Gale Historical Collections, run a variety of textual analysis on them, and visualize the resulting data.
  technique:
    - Data Visualization
    - Text and Data Mining
    - Extracting data
  tool:
    - Digital Scholar Lab
  date: "2022-05-06"
  series: MDL Tutorials
  type: Guide
- id: 94
  title: "Gephi: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/gephi-info-tutorials-workshops/
  description: |
    [Gephi](https://gephi.org/) is an open-source network analysis and visualization program that allows users to analyze and display relationships between individuals, groups, and other entities in a network.
  technique:
    - Data Visualization
  tool:
    - Gephi
  date: "2022-05-06"
  series: MDL Tutorials
  type: Guide
- id: 95
  title: "NVivo: Information, Resources, Tutorials, and Workshops"
  url: https://mdl.library.utoronto.ca/technology/tutorials/nvivo-information-resources-tutorials-and-workshops
  description: |
    [NVivo](https://lumivero.com/products/nvivo/) is a program used for qualitative data analysis. It supports researchers in managing, organizing, and analyzing qualitative data to produce new insight, infer relationships, and identify themes.
  technique:
    - Qualitative Data Analysis
  tool:
    - NVivo
  date: "2022-05-06"
  series: MDL Tutorials
  type: Tutorial
- id: 96
  title: "R and RStudio: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/r-rstudio-info-tutorials-workshops/
  description: |
    [R](https://www.r-project.org/) is a programming language and a free software environment to write and execute the R language. [RStudio](https://www.rstudio.com/) is an Integrated Development Environment that provides free and open-source tools for R. While you can run your data analysis in the basic R environment, R Studio has a more intuitive interface and more tools to help you write your R code.
  technique:
    - Converting data formats
    - Cleaning data
    - Extracting data
  tool:
    - R
  date: "2022-05-06"
  series: MDL Tutorials
  type: Guide
- id: 97
  title: "Stata: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/stata-info-tutorials-workshops/
  description: |
    [Stata](https://www.stata.com/) is a statistical software for data manipulation, data visualization and data analysis.
  technique:
    - Converting data formats
    - Cleaning data
    - Extracting data
  tool:
    - Stata
  date: "2022-05-06"
  series: MDL Tutorials
  type: Guide
- id: 98
  title: "Data Visualization and Tableau: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/tableau-data-viz-info-tutorials-workshops/
  description: |
    Data Visualization is a broad term that basically involves anything that uses graphical or pictorial representations of data for exploration, sense-making, and communication. Data visualization allows you and your audience to identify patterns, trends, exceptions, and relationships. It has broad applicability from conveying abstract concepts or ideas to highly complex scientific data. This page will highlight the resources we offer on data visualization and using Tableau. Tableau is a commercial program used to create data visualizations and interactive dashboards.
  technique:
    - Data Visualization
  tool:
    - Tableau
  date: "2022-05-04"
  series: MDL Tutorials
  type: Guide
- id: 99
  title: "OpenRefine: Information, Tutorials, and Workshops"
  url: https://mdlutoronto.github.io/openrefine-info-tutorials-workshops/
  description: |
    [OpenRefine](https://openrefine.org/) is a free, open-source program used for working with messy data. It allows you to clean, transform, and augment data in preparation for analysis and visualization.
  technique:
    - Cleaning data
  tool:
    - OpenRefine
  date: "2022-05-04"
  series: MDL Tutorials
  type: Guide
- id: 100
  title: Digital Scholar Lab - Additional Training
  url: https://mdlutoronto.github.io/dsl-additional-training/
  description: |
    [Return to the main Gale Digital Scholar Lab tutorial](https://mdl.library.utoronto.ca/technology/tutorials/digital-humanities-tools-digital-scholar-lab)

    Here are some ways to dig deeper into the archival and instructional materials in the Digital Scholar Lab.
  tool:
    - Digital Scholar Lab
  date: "2022-03-10"
  series: MDL Tutorials
  type: Tutorial
- id: 101
  title: Digital Scholar Lab - Analysis
  url: https://mdlutoronto.github.io/dsl-analysis/
  description: |
    [Return to the main Gale Digital Scholar Lab tutorial](https://mdl.library.utoronto.ca/technology/tutorials/digital-humanities-tools-digital-scholar-lab)

    This tutorial demonstrates how to use the Digital Scholar Lab's six analysis tools.

    Please note that Gale is periodically adding new documents to their collections, so your document counts and results may look slightly different from our screenshots and examples below.
  technique:
    - Data Visualization
    - Text and Data Mining
  tool:
    - Digital Scholar Lab
  date: "2022-03-10"
  series: MDL Tutorials
  type: Tutorial
- id: 102
  title: Digital Scholar Lab - Cleaning
  url: https://mdlutoronto.github.io/dsl-cleaning/
  description: |
    [Return to the main Gale Digital Scholar Lab tutorial](https://mdl.library.utoronto.ca/technology/tutorials/digital-humanities-tools-digital-scholar-lab)

    This tutorial demonstrates how to use and customize the Digital Scholar Lab's cleaning configurations.

    Please note that Gale is periodically adding new documents to their collections, so your document counts and results may look slightly different from our screenshots and examples below.
  technique:
    - Cleaning data
  tool:
    - Digital Scholar Lab
  date: "2022-03-10"
  series: MDL Tutorials
  type: Tutorial
- id: 103
  title: Digital Scholar Lab - Collections
  url: https://mdlutoronto.github.io/dsl-collections/
  description: |
    [Return to the main Gale Digital Scholar Lab tutorial](https://mdl.library.utoronto.ca/technology/tutorials/digital-humanities-tools-digital-scholar-lab)

    This tutorial shows you how to create a collection in the Digital Scholar Lab, both by searching Gale Primary Sources and by uploading your own texts.

    Please note that Gale is periodically adding new documents to their collections, so your document counts and results may look slightly different from our screenshots and examples below.
  technique:
    - Text and Data Mining
    - Searching for maps and data
  tool:
    - Digital Scholar Lab
  date: "2022-03-10"
  series: MDL Tutorials
  type: Tutorial
- id: 104
  title: Digital Scholar Lab - Export
  url: https://mdlutoronto.github.io/dsl-export/
  description: |
    [Return to the main Gale Digital Scholar Lab tutorial](https://mdl.library.utoronto.ca/technology/tutorials/digital-humanities-tools-digital-scholar-lab)

    This tutorial demonstrates how to export documents and metadata from the Digital Scholar Lab. Please note that Gale is periodically adding new documents to their collections, so your document counts and results may look slightly different from our screenshots and examples below.
  technique:
    - Extracting data
  tool:
    - Digital Scholar Lab
  date: "2022-03-10"
  series: MDL Tutorials
  type: Tutorial
- id: 105
  title: Generating SSH Key Pairs on a Mac
  url: https://mdlutoronto.github.io/ssh-key-pairs-mac-generating/
  description: |
    These instructions will help you create SSH key pairs on a Mac computer, for access to the [Web of Science PostgreSQL Database](https://mdl.library.utoronto.ca/technology/text-data-mining-software/web-science-postgresql-database).
  date: "2022-02-07"
  series: MDL Tutorials
  type: Tutorial
- id: 106
  title: Getting Started with the Web of Science PostgreSQL Database - Mac
  url: https://mdlutoronto.github.io/wos-postgresql-database-mac-getting-started/
  description: |
    This tutorial will help you get up and running querying the [Web of Science PostgreSQL database](https://mdl.library.utoronto.ca/web-science-postgresql-database) on a Mac computer. It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.

    You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the [instructions to get your account set up](https://mdl.library.utoronto.ca/technology/tutorials/how-access-web-science-postgresql-database).

    Note: This tutorial is intended for Mac users. If you are using Windows, check out this [tutorial](https://mdl.library.utoronto.ca/technology/tutorials/getting-started-web-science-postgresql-database) instead.
  date: "2022-02-07"
  series: MDL Tutorials
  type: Tutorial
- id: 107
  title: Getting Started with the Web of Science PostgreSQL Database
  url: https://mdlutoronto.github.io/wos-postgresql-database-getting-started/
  description: |
    This tutorial will help you get up and running querying the [Web of Science PostgreSQL database](https://mdl.library.utoronto.ca/web-science-postgresql-database). It will cover accessing the high performance computing environment, querying the database via SQL statements and from within a python script, and downloading the results of the query.

    You will need a Compute Canada account with the proper credentials to access this database. If you haven’t done so already, you should first follow the [instructions to get your account set up](https://mdl.library.utoronto.ca/technology/tutorials/how-access-web-science-postgresql-database). Note:

    This tutorial is intended for Windows users. If you are using a Mac, check out this [tutorial](https://mdl.library.utoronto.ca/getting-started-web-science-postgresql-database-MAC) instead."
  date: "2022-01-26"
  series: MDL Tutorials
  type: Tutorial
- id: 108
  title: How to Access the PostgreSQL Databases
  url: https://mdlutoronto.github.io/postgresql-databases-access/
  description: |
    Since access to both the [Web of Science PostgreSQL database](https://mdl.library.utoronto.ca/postgresql-database-version-web-science-raw-data-xml) and the [Canadian Intellectual Property Office (CIPO) Patent PostgreSQL database](https://mdl.library.utoronto.ca/technology/text-data-mining-software/cipo-postgresql-database) is tied to access to supercomputers, it can only be granted after a multi-step process that ensures security and access rights
  date: "2022-01-26"
  series: MDL Tutorials
  type: Tutorial
- id: 109
  title: ArcGIS Online Part I (October 2022) - https://uoft.me/AGOL
  url: https://mdlutoronto.github.io/arcgis-online-part1-2022/
  description: |
    The following slide deck is Part 1 of an introduction to ArcGIS Online. https://uoft.me/AGOL
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS
    - ArcGIS Online
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 110
  title: ArcGIS Online Part II  (November 2021)
  url: https://mdlutoronto.github.io/arcgis-online-part2-2021/
  description: |
    The following slide deck will guide you through Part 2 of the ArcGIS Online workshop. Part 2 covers topics such as choropleth mapping, spatial analytic tools, and linking ArcGIS Pro to ArcGIS Online.
  technique:
    - Mapping
    - Spatial Analysis
    - Geocoding
  tool:
    - ArcGIS Online
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 111
  title: ArcGIS Pro Module 1 - The Basics (Fall 2021)
  url: https://mdlutoronto.github.io/arcgis-pro-mod1-basics-fall-2021-fall-2021/
  description: |
    The following slide deck walks you through the basics of learning about ArcGIS Pro's main tools, viewing and manipulating datasets and basemaps, and exporting a basic map view.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 112
  title: ArcGIS Pro Module 2 - Authoring and Publishing a Map (Fall 2021)
  url: https://mdlutoronto.github.io/arcgis-pro-mod2-authoring-publishing-map-fall-2021/
  description: |
    Learn to create a map project which will include a legend, scale bar, an inset map, a title and a north arrow.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 113
  title: ArcGIS Pro Module 3 - Loading and Manipulating Data (Fall 2021)
  url: https://mdlutoronto.github.io/arcgis-pro-mod3-loading-manipulating-data-fall-2021/
  description: |
    The following slide deck will walk you through Module 3 of the ArcGIS Pro tutorial. This module will teach you how to add and format vector and raster data layers to your project, as well as how to geocode data.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 114
  title: ArcGIS Pro Module 4 - Data Analysis (Fall 2021)
  url: https://mdlutoronto.github.io/arcgis-pro-mod4-data-analysis-fall-fall-2021/
  description: |
    The following slide deck is for Module 4 of the ArcGIS Pro tutorial. This module helps the user apply knowledge and skills learned in previous 3 modules in solving a real life spatial problem.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 115
  title: ArcGIS Pro Module 5 - Working with Raster Data (Fall 2021)
  url: https://mdlutoronto.github.io/arcgis-pro-mod5-working-raster-data-fall-2021/
  description: |
    The following slide deck is for Module 5 of the ArcGIS Pro workshop. This module will teach you how to manipulate and analyze raster data in ArcGIS Pro.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 116
  title: ArcGIS Pro Module 6 - Wrangling and Mapping Covid-19 Data (Fall 2021)
  url: https://mdlutoronto.github.io/arcgis-pro-mod6-wrangling-mapping-covid19-fall-2021/
  description: |
    The following slide deck is for Module 6 of the ArcGIS Pro tutorial. This module will teach you how to do basic data cleaning and converting to prepare data to be used in ArcGIS Pro. This module will also present a real life problem of doing spatial analysis using public health data.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 117
  title: ArcGIS StoryMaps (Fall 2021)
  url: https://mdl.library.utoronto.ca/technology/tutorials/arcgis-storymaps-fall-2021
  description: |
    The following slide deck is a tutorial on ArcGIS StoryMaps. This tutorial will teach you the basics of ArcGIS StoryMaps, how they can be used, and how you can make your own StoryMap.
  technique:
    - Mapping
  tool:
    - ArcGIS Online
    - ArcGIS Storymaps
  date: "2022-01-12"
  series: MDL Tutorials
  type: Tutorial
- id: 118
  title: How to Access Online GIS Classes in ESRI Academy
  url: https://mdl.library.utoronto.ca/technology/tutorials/how-access-online-gis-classes-esri-academy
  description: |
    ​University of Toronto community members can access online GIS courses through ESRI Academy. Content is designed for beginners and experienced users.
  tool:
    - ArcGIS
    - ArcGIS Online
    - ArcGIS Pro
  date: "2021-09-14"
  series: MDL Tutorials
  type: Tutorial
- id: 119
  title: How to Access Constellate
  url: https://mdl.library.utoronto.ca/technology/tutorials/how-access-constellate
  description: |
    This tutorial walks you through accessing Constellate using the University of Toronto's institutional privileges. Please see our general Constellate page for more information and see our tutorial on creating a dataset once you have logged in. Please note that Constellate is ending on July 1st, 2025. Some learning materials will remain available afterwards.
  tool:
    - Constellate
  date: "2021-09-13"
  series: MDL Tutorials
  type: Tutorial
- id: 120
  title: How to Build a Dataset in Constellate
  url: https://mdl.library.utoronto.ca/technology/tutorials/how-build-dataset-constellate
  description: |
    This tutorial shows you how to build a dataset in Constellate. We recommend reading our general information on Constellate first. Please also see this access tutorial in order to log in with institutional privileges. Please note that Constellate is ending on July 1st, 2025. Some learning materials will remain available afterwards.
  technique:
    - Data Visualization
    - Cleaning data
    - Extracting data
  tool:
    - Constellate
  date: "2021-09-13"
  series: MDL Tutorials
  type: Tutorial
- id: 121
  title: Introduction to SAS
  url: https://mdlutoronto.github.io/sas-intro/
  description: |
    This guide gives users an introduction to SAS. The topics covered are importing, exploring, modifying, and managing data. It has been created using SAS 9.4. The main dataset used is the flights dataset. It contains the US domestic flights in January 2020[1]. For additional support, fill out the [support request form](https://mdl.library.utoronto.ca/about/contact-form).
  tool:
    - SAS
  date: "2021-09-13"
  series: MDL Tutorials
  type: Tutorial
- id: 122
  title: Visualizing a Network Dataset Using Gephi
  url: https://mdlutoronto.github.io/gephi-visualize-network-dataset/
  description: |
    This tutorial will teach you the basic features in Gephi that will allow you to visualize network data. This tutorial is part of a longer workshop, “An Introduction to Network Visualization and Analysis.” You can [download the workshop materials](https://maps.library.utoronto.ca/workshops/GephiOnline/WorkshopFiles.zip) ([alternate workshop materials download](https://maps.library.utoronto.ca/datapub/workshops/GephiWorkshopFiles.zip)) and [watch the recording (1:44:18)](https://play.library.utoronto.ca/23aef5db74b792db735a4f2fb39f7d7f) to learn more about network theory and see video demonstrations of working with Gephi.
  technique:
    - Data Visualization
  tool:
    - Gephi
  date: "2021-09-13"
  series: MDL Tutorials
  type: Tutorial
- id: 123
  title: Installing and Licensing NVivo 12
  url: https://mdl.library.utoronto.ca/technology/tutorials/installing-and-licensing-nvivo-12
  description: |
    This tutorial describes how to request a license for NVivo 12 Plus, download it, and license it.
  technique:
    - Troubleshooting
    - Installation
  tool:
    - NVivo
  date: "2021-04-08"
  series: MDL Tutorials
  type: Tutorial
- id: 124
  title: ArcGIS Online - Workshop videos
  url: https://mdlutoronto.github.io/arcgis-online-workshop-videos/
  description: |
    Created by Marcel Fortin, GIS and Map Librarian, in January 2021, this 4-part video tutorial will teach you how to format, edit, and map spatial data using ArcGIS Online.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Online
  date: "2021-03-05"
  series: MDL Tutorials
  type: Video
- id: 125
  title: ArcGIS Storymaps
  url: https://mdlutoronto.github.io/arcgis-storymapss/
  description: |
    ESRI ArcGIS StoryMaps online workshop videos, January 2021
  technique:
    - Data Visualization
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Online
    - ArcGIS Storymaps
  dataFormat:
    - Raster
    - Vector
  date: "2021-03-05"
  series: MDL Tutorials
  type: Tutorial
- id: 126
  title: Downloading Data from GeoGratis
  url: https://mdlutoronto.github.io/geogratis-downloading-data/
  description: |
    *National Resources Canada* *(NRCAN)* produced a portal called GeoGratis for allowing access to, and downloads of, their high-quality, free, and publicly available maps and geospatial data. This tutorial guides you in navigating their Product Index to find data on a specific location, and it is easily adaptable for other locations or desired data products.
  technique:
    - Searching for maps and data
    - Extracting data
  tool:
    - GeoGratis
  dataFormat:
    - DEM
    - Raster
  date: "2021-01-15"
  series: MDL Tutorials
  type: Tutorial
- id: 127
  title: ArcGIS Pro Workshop Outline
  url: https://mdlutoronto.github.io/arcgis-pro-workshop-outline/
  description: |
    This tutorial will use 7 modules to teach you the basics of ArcGIS Pro. These modules will cover topics such as adding, manipulating, analyzing, and mapping vector and raster data.
  technique:
    - Mapping
    - Spatial Analysis
  tool:
    - ArcGIS Pro
  date: "2021-01-07"
  series: MDL Tutorials
  type: Tutorial
- id: 128
  title: Logging into Digital Scholar Lab through the Catalog
  url: https://mdlutoronto.github.io/dsl-catalog-log-in/
  description: |
    [Return to the main Gale Digital Scholar Lab tutorial](https://mdlutoronto.github.io/dsl-text-analysis-fundamentals/)

    This short guide provides instructions on how to log into the [Gale Digital Scholar Lab](https://mdl.library.utoronto.ca/technology/text-data-mining-software/gale-digital-scholar-lab) via the University of Toronto institutional access.
  tool:
    - Digital Scholar Lab
  date: "2020-07-30"
  series: MDL Tutorials
  type: Tutorial
- id: 129
  title: Getting Started with R and R Studio
  url: https://mdlutoronto.github.io/r-studio-getting-started/
  description: |
    This guide helps you get started with the R and RStudio software and R code. You can install R from the [R homepage](https://www.r-project.org/). And you can install RStudio from the [RStudio homepage](https://rstudio.com/). A more thorough introduction to the R language is covered [here](https://mdl.library.utoronto.ca/technology/tutorials/introduction-r).
  tool:
    - R
  date: "2020-07-03"
  series: MDL Tutorials
  type: Tutorial
- id: 130
  title: RTRA SAS Program Guide
  url: https://mdlutoronto.github.io/rtra-sas-program-guide/
  description: |
    This guide helps users get started with writing a SAS program/code for RTRA purposes.
  technique:
    - Extracting data
  tool:
    - SAS
  dataFormat: Statistics
  date: "2020-06-02"
  series: MDL Tutorials
  type: Tutorial
- id: 131
  title: COVID-19 data in R
  url: https://mdlutoronto.github.io/r-covid19-data/
  tool:
    - R
  dataFormat: Statistics
  date: "2020-04-21"
  series: MDL Tutorials
  type: Tutorial
- id: 132
  title: Text Analysis Fundamentals with the Digital Scholar Lab
  url: https://mdlutoronto.github.io/dsl-text-analysis-fundamentals/
  description: |-
    This tutorial introduces [Gale's Digital Scholar Lab (DSL)](https://mdl.library.utoronto.ca/technology/text-data-mining-software/gale-digital-scholar-lab), a digital humanities tool. In this tutorial, you will learn how to:

    1. Build a collection of texts, including uploading your own materials

    2. Create collaborative workspaces

    3. Clean texts

    4. Run analytical tools on texts and visualize the results

    5. Download the data, graphs, and other visualizations produced through this tool

    6. Download the scanned texts in your collection, so that you can use them in other programs

    7. Find additional training and resources

    *Note: Gale periodically updates the Digital Scholar Lab, so some features of this tutorial might not always match the latest interface. This tutorial was last updated in March 2023.*
  technique:
    - Text and Data Mining
    - Cleaning data
    - Extracting data
  tool:
    - Digital Scholar Lab
  date: "2020-04-21"
  series: MDL Tutorials
  type: Tutorial
- id: 133
  title: Downloading, Installing, and Licensing ArcGIS Pro
  url: https://mdlutoronto.github.io/arcgis-pro-install-license/
  description: |
    This tutorial goes over how to download, install, and license ArcGIS Pro with your UTORid. Please be advised that ArcGIS Pro is also [available on library computers](https://mdl.library.utoronto.ca/technology/computers-with-gis-software) on the St George campus.
  technique:
    - Installation
  tool:
    - ArcGIS
    - ArcGIS Pro
  date: "2020-04-16"
  series: MDL Tutorials
  type: Tutorial
- id: 134
  title: Creating a Tableau Dashboard using COVID-19 data (Intermediate)
  url: https://mdlutoronto.github.io/tableau-creating-dashboard-covid19-data-intermediate/
  description: |
    This tutorial provides an opportunity to learn data visualization skills using a common data visualization tool, Tableau Desktop. People often say that they learn better when using data that resonates with them, so we are using COVID-19 data in this tutorial, as this topic is touching many people’s lives right now.
  technique:
    - Data Visualization
  tool:
    - Tableau
  date: "2020-04-07"
  series: MDL Tutorials
  type: Tutorial
- id: 135
  title: Getting Started with Tableau Desktop (Beginner to Intermediate)
  url: https://mdl.library.utoronto.ca/technology/tutorials/getting-started-tableau-desktop-beginner-intermediate
  description: |
    This is a beginner-to-intermediate level tutorial for Tableau Desktop version 2020.2. To acquire a free student, researcher, or instructor license for Tableau Desktop, please follow [these licensing and installation instructions](https://mdl.library.utoronto.ca/technology/tutorials/installing-tableau-desktop). If you want to learn this material in an online, self-paced course, with video instructions, you can self-enroll in our [Practice with Tableau course](https://q.utoronto.ca/enroll/WTYPDT).
  technique:
    - Data Visualization
  tool:
    - Tableau
  date: "2020-03-25"
  series: MDL Tutorials
  type: Tutorial
- id: 136
  title: Installing Tableau Desktop
  url: https://mdlutoronto.github.io/tableau-install/
  description: |
    NOTE: THIS GUIDE IS OUT OF DATE AS OF MARCH 11, 2025. TABLEAU IS NO LONGER PROVIDING FREE LICENSES FOR TABLEAU DESKTOP FOR STUDENTS. INSTEAD, STUDENTS SHOULD DOWNLOAD AND USE THE FREE VERSION, [TABLEAU PUBLIC](https://www.tableau.com/products/public/download), WHICH IS VERY SIMILAR. This is a guide to installing and running Tableau Desktop on your personal computer.
  technique:
    - Installation
  tool:
    - Tableau
  date: "2020-03-25"
  series: MDL Tutorials
  type: Tutorial
- id: 137
  title: Introduction to Infographic Design and Using Piktochart
  url: https://mdlutoronto.github.io/piktochart-infographic-design-intro/
  description: |
    This tutorial is an introduction to Piktochart, a popular online tool used to create infographics. This exercise will illustrate some infographic design principles and specific features of Piktochart to create an infographic about comparing housing in Vancouver vs Toronto. To complement this tutorial, you may want to explore the [online self-paced course on Infographic Design](https://q.utoronto.ca/enroll/JXN4XL).
  technique:
    - Data Visualization
  tool:
    - Piktochart
  dataFormat: Statistics
  date: "2019-06-03"
  series: MDL Tutorials
  type: Tutorial
- id: 138
  title: "OpenRefine Augmenting Activity 4: Using Python"
  url: https://mdlutoronto.github.io/openrefine-augmenting-activity-4-python/
  description: |
    The goal of this activity is to try out running Python in OpenRefine. We will use it to make an API call to augment our books dataset with information on the authors from Wikipedia.

    ***Note:*** *Complete Augmenting Activities [1](https://mdlutoronto.github.io/openrefine-augmenting-activity-1-preparing-data/), [2](https://mdlutoronto.github.io/openrefine-augmenting-activity-2-reconciliation-services/) & [3](https://mdlutoronto.github.io/openrefine-augmenting-activity-3-add-column/) first before attempting this activity.*
  technique:
    - Cleaning data
    - Extracting data
  tool:
    - OpenRefine
    - Python
  date: "2019-04-08"
  series: MDL Tutorials
  type: Tutorial
- id: 139
  title: "OpenRefine Augmenting Activity 3: Using Add Column by Fetching URLs"
  url: https://mdlutoronto.github.io/openrefine-augmenting-activity-3-add-column/
  description: |
    This tutorial will show you how to use the Add Column by Fetching URLs feature in OpenRefine.

    **Note:** *Complete Augmenting Activities [1](https://mdlutoronto.github.io/openrefine-augmenting-activity-1-preparing-data/) & [2](https://mdlutoronto.github.io/openrefine-augmenting-activity-2-reconciliation-services/) first before attempting this activity.*
  technique:
    - Cleaning data
    - Extracting data
  tool:
    - OpenRefine
  date: "2019-04-04"
  series: MDL Tutorials
  type: Tutorial
- id: 140
  title: "OpenRefine Augmenting Activity 1: Preparing the data"
  url: https://mdlutoronto.github.io/openrefine-augmenting-activity-1-preparing-data/
  description: |
    In this tutorial, we will begin work on augmenting datasets.

    *Note:* *This is an advanced tutorial. If you are new to OpenRefine, please begin with [OpenRefine tutorial 1](https://mdlutoronto.github.io/openrefine-tutorial-1-survey-household-spending/). This tutorial has been developed for OpenRefine version 3.7.5*
  technique:
    - Cleaning data
  tool:
    - OpenRefine
  date: "2019-04-03"
  series: MDL Tutorials
  type: Tutorial
- id: 141
  title: "OpenRefine Augmenting Activity 2: Using Reconciliation Services"
  url: https://mdlutoronto.github.io/openrefine-augmenting-activity-2-reconciliation-services/
  description: |
    This tutorial will teach you how to use OpenRefine's reconciliation service to connect data in your dataset with Wikidata.

    ***Note 1:*** *Complete [Augmenting activity 1](https://mdlutoronto.github.io/openrefine-augmenting-activity-1-preparing-data/) first before attempting this activity.*

    ***Note 2:*** *In order to complete this activity, you need to be running the latest version of OpenRefine.*
  technique:
    - Cleaning data
    - Extracting data
  tool:
    - OpenRefine
  date: "2019-04-03"
  series: MDL Tutorials
  type: Tutorial
- id: 142
  title: OpenRefine Tutorial 4. 311 Calls Activity
  url: https://mdlutoronto.github.io/openrefine-tutorial-4-311-calls-activity/
  description: |
    *This tutorial has been developed for OpenRefine version 3.7.5.*

    Update: please note that as of March 18, 2020, Open Data Toronto has suspended service and so their service is not available for API calls. Until service resumes, please skip step 3, and during step 5, please chose to Get Data From: This Computer and select the 311.json file in the packaged workshop files. This represents a snapshot of the data that will work with the exercises. Please feel free to email mdl@library.utoronto.ca *if you run into difficulties.*

    Sometimes you don't have your data in a file. Instead you want to use an API call to pull data from elsewhere. OpenRefine can help you make these calls and parse the data you receive.The goal of this activity is to create a new project by pulling in 311 call data from the City of Toronto into OpenRefine using an API call and then work with the data. You will construct an API call to download a subset of 311 call data in JSON format, and then use OpenRefine to parse that data and put it into a tabular format. You will then use GREL to further manipulate the data (especially working with date formats) and make some discoveries.

    ***Note:*** *This assumes that you have learned the basics of OpenRefine already through [the Survey of Household Spending activity](https://mdlutoronto.github.io/openrefine-tutorial-1-survey-household-spending/) and the [Citizen Science activity](https://mdlutoronto.github.io/openrefine-tutorial-2-citizen-science-activity/). This also assumes that you have a basic understanding of [APIs](https://www.freecodecamp.org/news/what-is-an-api-in-english-please-b880a3214a82) and [JSON](https://www.w3schools.com/whatis/whatis_json.asp).* ***The 311 JSON dataset can be found in the sample data (https://maps.library.utoronto.ca/datapub/workshops/OpenRefineWorkshop.zip) in case the API call does not work.***
  technique:
    - Cleaning data
    - Extracting data
  tool:
    - OpenRefine
  date: "2019-04-02"
  series: MDL Tutorials
  type: Tutorial
- id: 143
  title: OpenRefine Tutorial 3. Regular Expressions (Regex) Activity
  url: https://mdlutoronto.github.io/openrefine-tutorial-3-regular-expressions-regex/
  description: |
    *This tutorial has been developed for OpenRefine version 3.7.5*

    You were introduced to GREL in the previous activity, so you know that GREL is a powerful tool for cleaning/editing your data. You can make GREL even more powerful by learning how to use regular expressions (aka regex). A regular expression is a sequence of characters that define a search pattern – it is used to search for matches within text. In OpenRefine, you can use it in your GREL expressions to create sophisticated patterns describing what type of information you want to find within your dataset, then do something with the matching text (edit it, delete it, put it in a new column, etc.).

    This activity assumes you have already completed the [Survey of Household Spending](https://mdlutoronto.github.io/openrefine-tutorial-1-survey-household-spending/) and [Citizen Science](https://mdlutoronto.github.io/openrefine-tutorial-2-citizen-science-activity/) activities, have a familiarity with OpenRefine and know how to create simple GREL expressions. Before you begin, please download the OpenRefine workshop sample datasets (https://maps.library.utoronto.ca/datapub/workshops/OpenRefineWorkshop.zip), if you have not already.
  technique:
    - Cleaning data
  tool:
    - OpenRefine
  date: "2019-04-01"
  series: MDL Tutorials
  type: Tutorial
- id: 144
  title: Creating Data Visualizations Using Tableau Desktop (Beginner)
  url: https://mdlutoronto.github.io/tableau-creating-data-viz-beginner/
  description: |
    This guide is suitable for new Tableau users looking for information on producing popular data visualizations in Tableau, such as bar graphs, line graphs, scatterplots, tree maps, and dashboards. If you are looking for more general data visualization tips, please see the Map and Data Library's Data [Visualization Guide](https://mdl.library.utoronto.ca/dataviz/getting-started). You can find instructions on installing and acquiring a free academic license for Tableau [here](https://mdl.library.utoronto.ca/technology/tutorials/installing-tableau-desktop). If you are running Tableau on a Mac, please note that there may be some variation between the Windows version used to design this guide and the program as it appears on a Mac.

    The data used in this guide are public datasets retrieved from the World Bank’s Open Data repository, the United Nation's Open Data Population Division, and the full text of Shakespeare's Romeo and Juliet available through MIT's website, with a frequency table generated through Voyant Tools. You can find more information regarding the data sources used in this guide in the subsection entitled "10. Data Sources".

    This tutorial was created using Tableau Desktop version 2020.2.
  technique:
    - Data Visualization
  tool:
    - Excel
    - Tableau
  date: "2019-03-27"
  series: MDL Tutorials
  type: Tutorial
- id: 145
  title: OpenRefine Tutorial 2. Citizen Science Activity
  url: https://mdlutoronto.github.io/openrefine-tutorial-2-citizen-science-activity/
  description: |
    *This tutorial has been developed for OpenRefine version 3.7.5*

    We are going to work with a bit messier dataset now for the next few tasks. This is a citizen science dataset captured using an app called iNaturalist. The data was captured for a city nature challenge and shared on [data.world](https://data.world/).

    This activity will showcase some more features in OpenRefine. The goal of this activity is to create a new project with this citizen science dataset and work with the data. You will use clustering to improve the consistency of the dataset. You will also perform various manipulations, such as split and concatenate. Finally, you will learn various ways to remove columns and rows, and work with the Undo/Redo features in OpenRefine.

    Before you begin, please download the OpenRefine workshop sample datasets (https://maps.library.utoronto.ca/datapub/workshops/OpenRefineWorkshop.zip), if you have not already.

    ***Note***: *This assumes that you have learned the basics of OpenRefine already through the [Survey of Household Spending activity](https://mdlutoronto.github.io/openrefine-tutorial-1-survey-household-spending/).*
  technique:
    - Cleaning data
  tool:
    - OpenRefine
  date: "2019-03-27"
  series: MDL Tutorials
  type: Tutorial
- id: 146
  title: OpenRefine Installation Instructions
  url: https://mdlutoronto.github.io/openrefine-install-guide/
  description: |
    This is a guide to installing and running OpenRefine on your personal computer. Please note that all computers in the Map and Data Library (on the fifth floor of Robarts) and in the computer labs on the fourth and fifth floors of Robarts Library already have OpenRefine installed.
  technique:
    - Installation
  tool:
    - OpenRefine
  date: "2019-03-25"
  series: MDL Tutorials
  type: Tutorial
- id: 147
  title: OpenRefine Tutorial 1. Survey of Household Spending Activity
  url: https://mdlutoronto.github.io/openrefine-tutorial-1-survey-household-spending/
  description: |
    *This tutorial has been developed for OpenRefine version 3.7.5*

    Please note that we also have converted some of this tutorial into a self-paced course with videos. U of T students, staff, and faculty can [enroll in our OpenRefine Quercus course](http://q.utoronto.ca/enroll/E4JKAW). This is the first activity in this tutorial series, and assumes no prior knowledge of OpenRefine. In this activity you will be importing a spreadsheet of data into OpenRefine and exploring it. The goal of this activity is to use a simple dataset to introduce you to the OpenRefine user interface and some of the basic types of tasks you can accomplish. This dataset isn’t particularly “messy,” but provides some of the core knowledge needed to work with messier datasets in later activities. If you need a copy of OpenRefine on your personal computer, please follow these [installation instructions](https://mdlutoronto.github.io/openrefine-install-guide/).

    Before you begin, please download the OpenRefine workshop sample datasets (https://maps.library.utoronto.ca/datapub/workshops/OpenRefineWorkshop.zip).
  technique:
    - Cleaning data
  tool:
    - OpenRefine
  date: "2019-03-25"
  series: MDL Tutorials
  type: Tutorial
- id: 148
  title: Finding Statistics Using Statcan's Data Portal (Laurier)
  url: https://mdlutoronto.github.io/statcan-data-portal-finding-statistics/
  description: |
    Link to a video tutorial on how to find statistics and manipulate tables to get the data you need.

    https://library.wlu.ca/help/tutorials/finding-statistics-using-statcans-data-portal
  technique:
    - Searching for maps and data
  date: "2018-09-12"
  series: External
  type: Video
- id: 149
  title: Logging in to ArcGIS Online
  url: https://mdlutoronto.github.io/arcgis-online-log-in/
  description: |
    This tutorial will take you through two ways of logging in to your ESRI ArcGIS Online account for the first time using your UTORid.
  tool:
    - ArcGIS
    - ArcGIS Online
  date: "2018-03-22"
  series: MDL Tutorials
  type: Tutorial
- id: 150
  title: Helpful tips when using Scholars GeoPortal
  url: https://mdlutoronto.github.io/scholars-geoportal-tips/
  description: |
    Please [visit this link](http://guides.scholarsportal.info/geoportal/usinggeoportal) for extensive help with Scholars GeoPortal.
  tool:
    - Scholars GeoPortal
  date: "2018-02-07"
  series: External
  type: Guide
- id: 151
  title: Accessing CANSIM data through CHASS
  url: https://mdlutoronto.github.io/chass-access-cansim-data/
  description: |
    This guide is primarily designed to help users unfamiliar with the CANSIM database to find and download data through CHASS.

    **Please note** that a University of Toronto IP address is required to access CHASS.  CANSIM data may also be accessed through the Statistics Canada website. Tutorial available [here](https://mdl.library.utoronto.ca/technology/tutorials/cansim-guide).
  technique:
    - Searching for maps and data
  tool:
    - CHASS Census Analyzer
  date: "2018-01-26"
  series: MDL Tutorials
  type: Tutorial
- id: 152
  title: Finding/extracting/downloading GIS data using Scholars GeoPortal
  url: https://mdlutoronto.github.io/scholars-geoportal-finding-extracting-downloading/
  description: |
    This tutorial provides an example of finding, extracting, and downloading data from Scholars GeoPortal. Scholars GeoPortal(https://go.openathens.net/redirector/utoronto.ca?url=https://geo.scholarsportal.info/) is a geospatial discovery tool that provides access to large scale geospatial datasets that can be used for mapping or analysis. Scholars Geoportal can be used to access both vector and raster data on a variety of topics such as land-use, transportation networks, census geography, aerial imagery, geology, and more.
  technique:
    - Extracting data
  tool:
    - Scholars GeoPortal
  dataFormat:
    - Raster
    - Vector
  date: "2018-01-15"
  series: MDL Tutorials
  type: Tutorial
- id: 153
  title: Extracting/downloading data using CHASS Canadian Census Analyser
  url: https://mdlutoronto.github.io/chass-extracting-downloading-data-canadian-census/
  description: |
    The CHASS [Canadian Census Analyser](http://dc.chass.utoronto.ca.myaccess.library.utoronto.ca/census/) allows members of the University of Toronto research community to generate custom tables from the Census of Canada (1961-2016) and the National Household Survey (2011). This tutorial provides an example of extracting and downloading data from CHASS.
  technique:
    - Extracting data
  tool:
    - CHASS Census Analyzer
  dataFormat:
    - Statistics
    - Vector
  date: "2018-01-08"
  series: MDL Tutorials
  type: Tutorial
- id: 154
  title: Introduction to SimplyAnalytics
  url: https://mdlutoronto.github.io/simplyanalytics-intro/
  description: |
    This online tutorial will provide an introduction to SimplyAnalytics and a few of its many possible uses. SimplyAnalytics is a web-based data visualization application.

    It can be used to create simple thematic maps and tables from census and other socio-demographic data, as well as business point data.
  technique:
    - Data Visualization
    - Searching for maps and data
  tool:
    - SimplyAnalytics
  dataFormat:
    - Statistics
    - Vector
  date: "2018-01-04"
  series: MDL Tutorials
  type: Tutorial
- id: 155
  title: Creating contours using Global Mapper
  url: https://mdlutoronto.github.io/global-mapper-creating-contours/
  description: |
    The guide in this PDF will teach the user how to generate contours using DEM files in Global Mapper.
  tool:
    - Global Mapper
  dataFormat: DEM
  date: "2017-10-20"
  series: MDL Tutorials
  type: Tutorial
- id: 156
  title: Citation rules for machine-readable data in Canadian historical journals
  url: https://mdl.library.utoronto.ca/technology/tutorials/citation-rules-machine-readable-data-canadian-historical-journals
  description: |
    The following PDF contains an article that elaborates on citation rules for machine-readable data in Canadian historical journals.
  technique:
    - Citing data
  date: "2017-10-13"
  series: MDL Tutorials
  type: Tutorial
- id: 157
  title: "Citing data and statistics files in computer-readable form: a quick overview"
  url: https://mdl.library.utoronto.ca/technology/tutorials/citing-data-and-statistics-files-computer-readable-form-quick-overview
  technique:
    - Citing data
  date: "2017-10-13"
  series: MDL Tutorials
  type: Tutorial
- id: 158
  title: Comment citer les séries ou données extraites d’E-STAT
  url: https://mdl.library.utoronto.ca/technology/tutorials/comment-citer-les-s%C3%A9ries-ou-donn%C3%A9es-extraites-d%E2%80%99e-stat
  technique:
    - Citing data
  date: "2017-10-13"
  series: MDL Tutorials
  type: Tutorial
- id: 159
  title: Online resources to build topography 3D models
  url: https://mdlutoronto.github.io/online-resources-build-topography-3d-models/
  description: |
    This document compiles online resources that help to build terrain 3D models with a variety of software-options.

    Brief introductions on the pros and cons of each option are provided.
  technique:
    - Searching for maps and data
    - Converting data formats
  tool:
    - ArcGIS
  dataFormat: DEM
  date: "2017-09-11"
  series: MDL Tutorials
  type: Tutorial
- id: 160
  title: Accessing Statistics Canada’s Socioeconomic Time Series Data (formerly CANSIM)
  url: https://mdlutoronto.github.io/statcan-socioeconomic-time-series-access/
  description: |
    This guide is primarily designed to help users unfamiliar with the CANSIM database find and download data.

    Note: This guide outlines how to search for CANSIM data on the Statistics Canada website.

    University of Toronto faculty, staff, and students may also [download CANSIM series for free via CHASS](http://mdl.library.utoronto.ca/technology/tutorials/accessing-cansim-data-though-chass).

    You will need to be using a UofT IP address to access CHASS.
  technique:
    - Searching for maps and data
  date: "2017-05-05"
  series: MDL Tutorials
  type: Tutorial
- id: 161
  title: Cleaning data in STATA
  url: https://mdlutoronto.github.io/stata-cleaning-data/
  description: |
    Stata is a good tool for cleaning and manipulating data, regardless of the software you intend to use for analysis. This workshop is suitable for both first time data-cleaners and for those familiar with data cleaning.
  technique:
    - Cleaning data
  tool:
    - Stata
  date: "2017-05-05"
  series: MDL Tutorials
  type: Tutorial
- id: 162
  title: Downloading SDA data from CHASS into STATA
  url: https://mdlutoronto.github.io/chass-downloading-sda-data-to-stata/
  description: |
    This tutorial demonstrates how to load SDA data for use in Stata.
  technique:
    - Extracting data
  tool:
    - Stata
  date: "2017-05-05"
  series: MDL Tutorials
  type: Tutorial
- id: 163
  title: How to use SDA
  url: https://mdlutoronto.github.io/sda-use/
  description: |
    Link to CHASS list of how-to guides for SDA: [How-to guides for SDA](https://sda.artsci.utoronto.ca/index.html/sda.htm#how_to)
  technique:
    - Searching for maps and data
  date: "2017-05-05"
  series: External
  type: Tutorial
- id: 164
  title: Introduction to R (Datacamp)
  url: https://mdl.library.utoronto.ca/technology/tutorials/introduction-r-datacamp
  description: |
    Link to Datacamp's free intro course on R: https://www.datacamp.com/courses/free-introduction-to-r
  tool:
    - R
  date: "2017-05-05"
  series: MDL Tutorials
  type: Tutorial
- id: 165
  title: Introduction to Stata
  url: https://mdlutoronto.github.io/stata-intro/
  description: This guide gives users an introduction to Stata. The topics covered are importing, exploring, modifying and managing data.
  tool:
    - Stata
  date: "2017-05-05"
  series: MDL Tutorials
  type: Tutorial
- id: 166
  title: Introduction to STATA (Princeton)
  url: https://mdlutoronto.github.io/stata-intro-princeton/
  description: |
    An overview of the guide provided by Princeton with a link to the original guide. If you want to learn how to use Stata, you might find this guide by German Rodriguez at Princeton University useful: http://data.princeton.edu/stata/default.html
  tool:
    - Stata
  date: "2017-05-05"
  series: External
  type: Tutorial
- id: 167
  title: R Learning Modules (UCLA)
  url: https://mdlutoronto.github.io/r-learning-mods-ucla/
  description: |
    Comprehensive set of guides that include installing R, learning R fundamentals including graphics and advanced data analysis examples. Link: https://stats.oarc.ucla.edu/r/
  tool:
    - R
  date: "2017-05-05"
  series: External
  type: Tutorial
- id: 168
  title: SAS Learning Modules (UCLA)
  url: https://mdlutoronto.github.io/sas-learning-mods-ucla/
  description: |
    Comprehensive set of guides that include installing SAS, learning SAS fundamentals and advanced data analysis examples. Link: https://stats.oarc.ucla.edu/sas/
  tool:
    - SAS
  date: "2017-05-05"
  series: External
  type: Tutorial
- id: 169
  title: Scraping tweets using Python
  url: https://mdl.library.utoronto.ca/technology/tutorials/scraping-tweets-using-python
  description: |
    This tutorial demonstrates how to scrape tweets for data analysis using Python and the Twitter API.
  technique:
    - Extracting data
  tool:
    - Python
  date: "2017-05-05"
  series: MDL Tutorials
  type: Tutorial
- id: 170
  title: Searching microdata in Odesi
  url: https://mdlutoronto.github.io/odesi-searching-microdata/
  description: |
    Link to Scholars Portal guide: http://guides.scholarsportal.info/odesi
  technique:
    - Searching for maps and data
  date: "2017-05-05"
  series: External
  type: Guide
- id: 171
  title: SPSS Learning Modules (UCLA)
  url: https://mdlutoronto.github.io/spss-learning-mods-ucla/
  description: |
    Comprehensive set of guides that include obtaining SPSS, learning SPSS fundamentals and advanced data analysis examples.
  tool:
    - SPSS
  date: "2017-05-05"
  series: External
  type: Tutorial
- id: 172
  title: Stat/Transfer (File Transfer Utility)
  url: https://mdlutoronto.github.io/stat-transfer-file-utility/
  description: |
    Introductory guide to the Stat/Transfer utility (version 10).
  technique:
    - Converting data formats
  date: "2017-05-05"
  series: MDL Tutorials
  type: Guide
- id: 173
  title: Stata Learning Modules (UCLA)
  url: https://mdlutoronto.github.io/stata-learning-mods-ucla/
  description: |
    Comprehensive set of guides that include installing Stata, learning Stata fundamentals including graphics and advanced data analysis examples. Link: http://stats.idre.ucla.edu/stata/
  tool:
    - Stata
  date: "2017-05-05"
  series: External
  type: Tutorial
- id: 174
  title: Summary statistics in STATA
  url: https://mdl.library.utoronto.ca/technology/tutorials/summary-statistics-stata
  description: |
    Summary statistics are a way to explore your dataset, find patterns, and maybe even refine your question of interest. In this workshop, you will learn to use Stata to create basic summary statistics, cross-tabulations, and increasingly rich tables of summary statistics.
  tool:
    - Stata
  date: "2017-05-05"
  series: MDL Tutorials
  type: Tutorial
- id: 175
  title: What statistical analysis should I use? Statistical analysis using SAS (UCLA)
  url: https://mdlutoronto.github.io/what-statistical-analysis-should-i-use/
  description: |
    UCLA's introductory guide to various statistical analyses in SAS: https://stats.oarc.ucla.edu/sas/whatstat/what.statistical.analysis.should.i.usestatistical.analyses.using.sas/
  tool:
    - SAS
  date: "2017-05-05"
  series: External
  type: Tutorial
- id: 176
  title: Cleaning Data in Python
  url: https://mdlutoronto.github.io/python-cleaning-data/
  description: |
    This guide shows the user how to use Spyder to load and clean data for further analysis.
  technique:
    - Cleaning data
  tool:
    - Python
  date: "2016-11-01"
  series: MDL Tutorials
  type: Tutorial
- id: 177
  title: Introduction to R
  url: https://mdl.library.utoronto.ca/technology/tutorials/introduction-r
  description: |
    This guide is suitable for new R-users or advanced level R-users looking for information on specific topics. The topics covered in this guide are importing, exploring, modifying and managing data.
  technique:
    - Converting data formats
    - Cleaning data
    - Extracting data
  tool:
    - R
  dataFormat: Statistics
  date: "2016-08-17"
  series: MDL Tutorials
  type: Tutorial
- id: 178
  title: Downloading census boundary files using Scholars GeoPortal
  url: https://mdlutoronto.github.io/scholars-geoportal-downloading-census-boundary-files/
  description: |-
    This exercise will showcase how to use Scholars GeoPortal to extract Census Tract (CT) census geography for the Census Metropolitan Area (CMA) of Montreal using two methods:

    1. querying the attribute table of the dataset, or

    2. downloading based on a predefined census boundary (ex. CMAs).
  technique:
    - Searching for maps and data
  dataFormat: Vector
  date: "2016-07-26"
  series: MDL Tutorials
  type: Tutorial
- id: 179
  title: Converting GIS data in FME Quick Translator
  url: https://mdlutoronto.github.io/fme-quick-translator-converting-gis-data/
  description: |
    FME (File Manipulation Engine) is a powerful software package that allows users to quickly convert spatial and non-spatial datasets into other formats to facilitate sharing and interoperability. One of its components, FME Quick Translator, is an easy-to-use utility that provides a straightforward translation workflow via a simple graphical user interface. This guide demonstrates how to use FME Universal Translator to convert geospatial data from one format to another using an older file format (ArcInfo Coverage, .e00) as an example.
  technique:
    - Converting data formats
  tool:
    - FME
  dataFormat:
    - Raster
    - Vector
  date: "2016-04-26"
  series: MDL Tutorials
  type: Tutorial
- id: 180
  title: Selecting the right projection
  url: https://mdlutoronto.github.io/selecting-right-projection/
  description: |
    Unsure of which projection to use in your GIS work? This tutorial will help you figure out your options.
  technique:
    - Projecting
  tool:
    - ArcGIS
    - Global Mapper
    - QGIS
  dataFormat:
    - Raster
    - Vector
  date: "2016-04-26"
  series: MDL Tutorials
  type: Tutorial
- id: 181
  title: Citing geospatial data resources
  url: https://mdlutoronto.github.io/geospatial-data-resources-citing/
  description: |
    [This guide, compiled by Alberta Auringer Wood of the Association of Canadian Map Libraries and Archives, provides recommended citation formats for a wide variety of geospatial data sources.](http://www.acmla-acacc.ca/docs/ACMLA_BestPracticesCitations.pdf)

    Additionally, if using Esri products (e.g. ArcGIS Online) or Esri data, please consult this [guide on How to Cite ArcGIS Maps and Data.](https://resources.esri.ca/education-and-research/how-to-cite-arcgis-maps-and-data)
  technique:
    - Citing data
  dataFormat:
    - Paper maps
    - Raster
    - Vector
  date: "2016-04-12"
  series: MDL Tutorials
  type: Guide
- id: 183
  title: Finding paper maps and atlases
  url: https://mdlutoronto.github.io/paper-maps-atlases-finding/
  description: |
    This tutorial demonstrates how to find paper maps and atlases in the University of Toronto Libraries catalogue, then locate them in Map & Data Library's fifth floor collection.
  technique:
    - Searching for maps and data
  dataFormat: Paper maps
  date: "2016-04-12"
  series: MDL Tutorials
  type: Tutorial
- id: 184
  title: Using the large format scanner
  url: https://mdl.library.utoronto.ca/technology/tutorials/using-large-format-scanner
  description: |
    This tutorial will help users learn how to properly use the Map and Data Library's large format scanner.
  technique:
    - Scanning
  dataFormat: Paper maps
  date: "2016-04-12"
  series: MDL Tutorials
  type: Tutorial