🥑 Avocado Analytics Dashboard

An interactive web dashboard built with Dash and Python to visualize avocado prices and sales trends across the United States between 2015 and 2018.

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🚀 Features

• 📈 View the average price and total volume of avocados over time.
• 🌎 Filter by region (Albany, Boston, Los Angeles, etc.).
• 🥑 Filter by type (conventional or organic avocados).
• 🗕️ Select a date range to zoom in on specific time periods.
• 🎨 Simple and clean UI styled with custom fonts and minimal design.
• ⚡ Real-time graph updates based on user selections.

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🛠️ Built With

• Python
• Dash (by Plotly)
• Pandas
• HTML/CSS (embedded in Dash components)

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📂 Project Structure

.
├── app.py         # Main Dash app
├── avocado.csv    # Dataset (2015-2018 avocado sales in the US)

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📊 Dataset

• Sourced from Kaggle: Avocado Prices
• Contains information on avocado sales such as:
  • Average price
  • Total volume sold
  • Region
  • Type (organic or conventional)
  • Date

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🧠 How It Works

• Load avocado sales data using Pandas.
• Preprocess and sort data by date.
• Build an interactive layout with Dash components:
  • Dropdown menus for region and type.
  • Date picker for selecting date range.
• Dynamically update graphs based on user selections using Dash Callbacks.
• Visualize:
  • Line graph of Average Price over time.
  • Line graph of Total Volume Sold over time.

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🚀 Running Locally

1. Clone the repository:

git clone https://github.com/VictoriousWealth/Avocado-Analytics.git
cd Avocado-Analytics

2. Install dependencies:

pip install pandas dash

3. Run the app:

python app.py

4. Visit http://127.0.0.1:8050/ in your browser.

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🌟 Future Improvements

• Add multi-region comparison.
• Enable download of filtered data as CSV.
• Deploy to a cloud platform (e.g., Heroku, AWS, Render).

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💋 Contact

Feel free to connect with me:

• LinkedIn
• ✉️ Email: efeoni10@gmail.com

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Thanks for visiting Avocado Analytics! 🥑

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