Simple Project to visualize the Change in Life Expectancy per Continent. Uses the Gapminder Life expectancy Dataset.
- Pandas is used for EDA and Data Wrangling
- Seaborn is used to create a Combination of a Stripplot and a Lineplot
- Imageio is used to create an Animation with the saved Plots
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Clone the Git repository:
git clone https://github.com/samuelrothen/gapminder_visualization.git
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Install the requirements:
pip install requirements.txt
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Run
/src/visualization_gapminder.py
to create a single Plot. The Year of the Plot can be set with:createPlot(df, year = 2016)
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To create the Animation, set:
create_animation = True
Distributed under the MIT License. See LICENSE
for more Information.