Exploratory Data Analysis Using Python - Olympic Dataset
Brief introduction about EDA:
Exploratory Data AnalysisEDA is a methodology to analyse data, find trends, patterns and checks on assumptions by way of statistics summaries and graphical representations.
Brief Introduction about Olympic Games:
The Olympics are the world's most famous sporting event which include summer and winter sports competitions involving thousands of athletes from all over the world. There are more than 200 countries taking part. The Olympic Games are usually held every four years, alternating between the Summer and Winter Olympics each two years for a period of 4 years. The International Olympic Committee, which was set up in 1894 and the first modern Olympics were held in 1896.
The project will make you understand how to analyze and visualize past Olympics data for drawing crucial insights. This project will teach you how to use Python libraries (Seaborn) and their associated functions to create interesting visualizations and analyze vast amounts of data.
The dataset that I have used for this analysis can be downloaded from here.
https://www.kaggle.com/datasets/heesoo37/120-years-of-olympic-history-athletes-and-results
I'm Kalani from Sri Lanka. I am a Physical Science graduate who is a Self- Learner in Data Science and Sports analytics. Through my experiences as an athlete, I have developed a strong passion for the intersection of data science and sports.
