https://github.com/harshstats/creating-dashboard-panel-with-python

https://github.com/harshstats/creating-dashboard-panel-with-python

Last synced: over 1 year ago
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• Host: GitHub
• URL: https://github.com/harshstats/creating-dashboard-panel-with-python
• Owner: HarshStats
• License: apache-2.0
• Created: 2022-10-24T10:15:04.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-05T20:16:56.000Z (over 1 year ago)
• Last Synced: 2025-01-24T20:38:04.547Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 563 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# **World CO₂ Emissions Dashboard**

### Overview

This interactive dashboard visualizes global CO₂ emissions, providing insights into carbon emissions across continents and their relationship with economic factors like GDP per capita. The dashboard allows users to explore CO₂ emissions trends, compare emissions from various sources, and observe how different continents contribute to global CO₂ output over time.

The dashboard is built using Python libraries such as **Pandas**, **Panel**, and **HoloViews**. It leverages data from [Our World in Data](https://github.com/owid/co2-data) and provides a powerful tool for stakeholders interested in environmental data, climate change, and CO₂ trends.

### Features

1. **CO₂ Emission Over Time**: 

   - Explore CO₂ emissions by continent across years.

   - Visualize CO₂ emissions or per capita emissions using a slider and radio button controls.

   

2. **CO₂ vs GDP Scatter Plot**: 

   - Visualize the relationship between CO₂ emissions and GDP per capita for various countries.

   - Understand how economic activity relates to carbon emissions.

3. **CO₂ Sources by Continent**: 

   - Analyze CO₂ emissions by source (coal, oil, gas) across different continents.

   - Interactive bar chart to compare emissions sources by region.

4. **Interactive Data Table**: 

   - Review and filter CO₂ emissions data over time by continent with pagination.

### Key Technologies

- **Pandas**: For data manipulation and analysis.

- **Panel**: To create an interactive dashboard and widgets.

- **HoloViews**: To build dynamic visualizations with minimal code.

- **Bokeh**: For plotting interactive charts and graphs.

### Dashboard Components

1. **CO₂ Emissions Line Chart**:

   - **Widgets**: Year slider, CO₂ metric selector (total emissions vs per capita).

   - **Chart**: Line plot of CO₂ emissions by continent over time.

2. **CO₂ vs GDP Scatter Plot**:

   - **Widgets**: Year slider.

   - **Chart**: Scatter plot comparing GDP per capita to CO₂ emissions for each country.

3. **CO₂ Source Bar Chart**:

   - **Widgets**: Source selector (coal, oil, gas).

   - **Chart**: Bar chart showing CO₂ emissions by source for each continent.

4. **Data Table**:

   - **Widget**: Paginated table of CO₂ emissions data for easy exploration.

### Visual Preview

![CO₂ Dashboard](climate_day.png)