Meteorite Landing Data Visualization with Python

Abstract

For billions of years, the Earth has witnessed meteorite falls. Meteorites enter the Earth's atmosphere and land in more places than others. Recording on meteorites has been based on sighting and recovery. Many meteorites recoveries had been possible to Earth's conditions (such as cold temperatures) and human dedication. This project aims to corroborate data findings using Python programming language in a JupyterLab web environment. Data visualization of meteorites sample data will help to analyze where they land the most, which is the heaviest in mass and what year had the most landings. Zipf''s law is considered as an approach to investigate if meteorites hitting the Earth follow any distribution pattern.