Life expectancy at birth is a key metric reflecting the average number of years a person can expect to live from birth, considering current mortality rates. Across the globe, life expectancy varies widely due to factors such as healthcare access, socio-economic conditions, and lifestyle choices.
This dataset comprises historical information encompassing various indicators concerning Life Expectancy at Birth on a global scale. The dataset prominently features: ISO3, Country, Continent, Hemisphere, Human Development Groups, UNDP Developing Regions, HDI Rank (2021), and Life Expectancy at Birth from 1990 to 2021.
- EDA on Python Notebook using Pandas, Seaborn, Plotly and Matplotlib
- Conducted minor Data Wrangling, did time series analysis, hist plot, area charts and pie charts etc.
- Visualization has been done on both on Python and Power BI which answers the key questions as well
- Life expectancy across years
- HDI Rank VS Life Expectancy
- Regional Distribution
- Human Development Group vs Life Expectancy
- UNDP Regions and life expectancy
- top life expectancy by continent
- top UNDP developing regions by average life expectancy by country/continent
- top human development groups by average life expectancy by country/continent
- 01 Project Management - comprises of important images used in the python or Power BI analysis
- 02 Data - comprises Original Data and final output xls files
- 03 Scripts - contains Python Notebook
- 04 Analysis - contains Power BI Visualization File