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The 📈EDA is performed on the 120 Years Olympics Dataset to gain some insights into the data and to answer some questions that are raised in the process of EDA.

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🏆120 Years Olympics Dataset: Exploratory Data Analysis

🏅About The Project

The exploratory data analysis (EDA) is performed on the 120-Years Olympics Dataset to gain some insights into the data and to answer some questions that are raised in the process of EDA.


💻Tech Stack Used

Python NumPy Pandas Matplotlib Plotly Seaborn Jupyter


📊 Outline Of The Dataset Used

This is a comprehensive dataset of the modern-day Olympic Games, spanning and having records of games all the way from 1896, Athens Olympics to 2016, Rio Olympics. The dataset contains 271116 instances and 15 attributes.

Each instance corresponds to an individual athlete competing in an individual Olympic event (athlete-events). While the attribute consists of various inputs as follows (to name a few):

  • ID - Unique number for each athlete
  • Name - Athlete's name
  • Sex - M or F
  • Age - Integer
  • Height - In centimeters
  • Weight - In kilograms
  • Team - Team name
  • Medal- Gold, Silver, Bronze

About

The 📈EDA is performed on the 120 Years Olympics Dataset to gain some insights into the data and to answer some questions that are raised in the process of EDA.

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