https://github.com/lmizner/codecademy_life_expectancy_gdp
Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
https://github.com/lmizner/codecademy_life_expectancy_gdp
barplot jupyter-notebook lineplot matplotlib-pyplot numpy pandas python scatterplot seaborn
Last synced: 5 months ago
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Utilize understanding of data visualization to analyze and plot data about GDP and life expectancy
- Host: GitHub
- URL: https://github.com/lmizner/codecademy_life_expectancy_gdp
- Owner: lmizner
- Created: 2022-10-08T04:23:35.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-08T04:28:19.000Z (about 3 years ago)
- Last Synced: 2025-04-02T17:12:33.766Z (8 months ago)
- Topics: barplot, jupyter-notebook, lineplot, matplotlib-pyplot, numpy, pandas, python, scatterplot, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 196 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# codecademy_life_expectancy_gdp
### Life Expectancy & GDP
For this project, you will analyze data on GDP and life expectancy from the World Health Organization and the World Bank to try and identify the relationship between the GDP and life expectancy of six countries.
During this project, you will analyze, prepare, and plot data in order to answer questions in a meaningful way.
### Project Objectives:
* Complete a project to add to your portfolio
* Use seaborn and Matplotlib to create visualizations
* Become familiar with presenting and sharing data visualizations
* Preprocess, explore, and analyze data