https://github.com/asis2016/global-gdp-2019-analysis

A statistical analysis on 2019 Global GDP using Choropleth maps.
https://github.com/asis2016/global-gdp-2019-analysis

data-science gdp html jupyter-notebook python statistical-analysis

Last synced: about 1 month ago
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A statistical analysis on 2019 Global GDP using Choropleth maps.

• Host: GitHub
• URL: https://github.com/asis2016/global-gdp-2019-analysis
• Owner: asis2016
• Created: 2021-04-23T14:56:06.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2021-06-03T10:56:20.000Z (about 5 years ago)
• Last Synced: 2024-11-08T12:44:25.087Z (over 1 year ago)
• Topics: data-science, gdp, html, jupyter-notebook, python, statistical-analysis
• Language: HTML
• Homepage: https://asis2016.github.io/global-gdp-2019-analysis/
• Size: 450 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

# Global GDP - 2019

A statistical analysis on 2019 Global GDP using Choropleth maps.

## Demo

[https://asis2016.github.io/global-gdp-2019-analysis/](https://asis2016.github.io/global-gdp-2019-analysis/)

  

## Tech Stack

Python, Jupyter Notebook, HTML

  

## Run Locally

Clone the project

```bash

  git clone https://github.com/asis2016/global-gdp-2019-analysis.git

```

Go to the project directory

```bash

  cd global-gdp-2019-analysis

```

Upload the following file to your Jupyter notebook

```bash

  global-gdp-2019-analysis.ipynb

```

## Screenshots

![Screenshot](screenshots/screenshot-v1.png)

## Feedback

If you have any feedback, please reach out to us at hello@amaharjan.com

  

## Reference

 - [The World Bank](https://data.worldbank.org/)