Olympics-data-analysis

Table of Contents

1. About The Project
   • Steps of our Analysis
2. Getting Started
   • Prerequisites
   • Installation
3. Dataset
4. Live Demo

About The Project

This analysis will provide detailed and accurate information regarding various factors which leads to the evolution of Olympic Games and improvement of Countries/Players over the time in visual format.

Steps of our Analysis

• Data Collection
• Data Pre-Processing
• Exploratory Data Analysis
  • Histogram
  • Bar Graph
  • Box Plot
  • Scatter Plot
• Experimental Setup
• Result Analysis

Getting Started

Prerequisites

• python

Installation

1. Clone the repo

   https://github.com/mayuras7685/.git

2. Install required dependensies

   pip install -r requirements.txt

3. Enter this command to run streamlit over local host

   streamlit run app.py

(back to top)

Dataset

Dataset Link: https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results

Live Demo

A Webapp Deployed on Streamlit Cloud https://mayuras7685-olympics-data-analysis-app-yi71z5.streamlit.app/