A Streamlit web application for the analysis of olympics dataset

this is about data analysing

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# olympics-data-analysis-web-app A Streamlit web application for the analysis of olympics dataset

It is a Streamlit web application for the analysis of olympics dataset. Technology used:- Python( Programming language) + Machine learning + Exploratory data analytics.

olympics-data-analysis-web-app-main

An interactive web app for Olympics data analysis built with Python, Streamlit, Pandas, Plotly, and Seaborn. Users can explore medal stats, athlete performance, and country-wise trends. Deployed on Heroku for easy access without local setup. Clean UI with dynamic visualizations.

I am building a self-initiated Olympics Data Analysis Web Application using Streamlit, with Python and Pandas for data handling, and Seaborn and Plotly for visualizations. This project aims to enhance my skills in data analysis and web app development.

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This web application allows users to explore and analyze data related to the Olympic Games. The app presents interactive visualizations and detailed insights into Olympic performance, including medal counts, athlete participation, country statistics, and trends across different years.

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This is a Data Analyzer website for enthusiasts on Olympics dataset of 120 years. This is a Data Science project for educational purpose.

This is an interactive Streamlit web application that provides insights and visualizations on the Olympics dataset.

Streamlit WebApp

A Streamlit web application for the analysis of olympics dataset

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An interactive Olympics Data Analysis Web Application built using Streamlit. The app allows users to explore Olympic statistics, including medal tally, country-wise performance, athlete analysis, and historical trends. Visualizations are created with Plotly and Seaborn, enabling dynamic insights from Olympic data

This is the Web App on the Olympics in which we have done analysis and implements machine learning algorithm. I created this Web App with my two classmates. In this project, we have leveraged the power of Data Science and Machine Learning technologies.

Carrying out analysis on an Olympic dataset from Kaggle, the dataset contains data from the year 1896 till 2016. The insights are put into a web app using Streamlit, and deployed to web using Heroku.

olympics-data -analysis-web-app

Olympics Data Analysis Web App

web app for olympics data analysis

This project is a web app of the analysis of 120 years of Olympic history, spanning from the Athens 1896 Olympics to the Rio 2016 Olympics. It utilizes Python and various libraries such as Streamlit, Pandas, Plotly, Matplotlib, Seaborn, and custom preprocessing modules to provide insightful information and visualizations.

A simple Olympics Data Analysis made using Streamlit, Plotly, Seaborn, Matplotlib

Olympic Data Analysis Web App

Web App - Olympic Data Analysis

#Olympic Data Analysis Web app

The Streamlit based Olympics Data Analysis Web App

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Olympics dataset analysis