In this project, we will scrape the data from ipl website, and analyze the data and deploy the data visualization dashboard on Heroku.

It is Exploratory Data Analysis of IPL 2023 Auction dataset.

Exploratory data analysis on IPL dataset

This project analyzes IPL data from the past three years to provide insights into player and team performance for Sports Basics' special edition magazine. It includes data analysis, dashboard creation in Power BI, and performance metrics to enhance fan engagement and decision-making. Built with SQL, Power BI, and Excel. 🚀

Fetched IPL 2022 data through web-scrapping. & performed data analysis using different data visualization techniques.

R Shiny App built for EDA on IPL Data ( 2008-2019)

This repository contains Data Analysis and Visualization Projects made in Tableau.

IPL Match Analysis API A comprehensive API that provides data and analysis of all IPL matches from 2008 to 2022.

This project provides insights into the IPL's historical data, helping to identify trends, player performance, and team strategies.

This comprehensive tutorial is designed to help you master the fundamentals of data analysis using the powerful Pandas library in Python.

IPL data analysis project involves analyzing data related to the Indian Premier League (IPL), a popular professional cricket league in India. The project aims to derive insights, trends, and patterns from various IPL datasets, which can include player statistics,, and performance optimization in the IPL.

Progetto realizzato per il modulo di Analisi di Dati per l'esame Programmazione e Analisi di dati (prof. Milazzo, Guidi, Malizia)

An in-depth analysis of IPL data to explore team performance, player statistics, and match trends. Features visualizations and insights to uncover key factors influencing match outcomes and tournament success.