Gapminder Data Visualization

Introduction

Simple Project to visualize the Change in Life Expectancy per Continent. Uses the Gapminder Life expectancy Dataset.

Project Structure

1. EDA

• Pandas is used for EDA and Data Wrangling

2. Visualization

• Seaborn is used to create a Combination of a Stripplot and a Lineplot

3. Animation

• Imageio is used to create an Animation with the saved Plots

General Usage

1. Clone the Git repository: git clone https://github.com/samuelrothen/gapminder_visualization.git

2. Install the requirements: pip install requirements.txt

3. Run /src/visualization_gapminder.py to create a single Plot. The Year of the Plot can be set with:

   createPlot(df, year = 2016)

4. To create the Animation, set:

   create_animation = True

License

Distributed under the MIT License. See LICENSE for more Information.