Skip to content

This project analyzes IPL (Indian Premier League) 🏏 data from 2008-2017 using Tableau πŸ“Š to create interactive dashboards. It explores match outcomes, player performances πŸ…, and team statistics πŸ“ˆ, offering insights into trends, top players 🌟, and team performances. The project uses `matches.csv` πŸ“ and `deliveries.csv` πŸ“‚ datasets to visualize

Notifications You must be signed in to change notification settings

Sarathnadiminti/IPl-Analysis-Tableau

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

3 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

IPl-Analysis-Tableau

IPL Statistics Dashboard (Tableau Project)

Project Overview

This project involves creating an interactive Tableau dashboard to analyze IPL (Indian Premier League) statistics from 2008 to 2017. The data is sourced from two datasets, matches.csv and deliveries.csv, which contain detailed match and ball-by-ball information. The primary objective is to generate insights through visualizations on match, player, and team statistics, which can be used for reports and newsletters.

Project Objectives

The goal of this project is to build a comprehensive and interactive dashboard in Tableau that covers three major categories:

  1. Match Statistics

    • Toss outcome vs Match outcome (for each Ground/Venue)
    • Biggest wins (by runs and by wickets)
    • Highest totals (across all the seasons)
  2. Player Statistics

    • Orange Cap contenders (batsmen with the most runs in a season)
    • Purple Cap contenders (bowlers with the most wickets in a season)
    • Batsmen who have hit the most number of fours and sixes (per season and overall)
  3. Team Statistics

    • Season-wise team performance (wins vs losses)
    • Win percentage (home vs away)

Datasets Used

  • matches.csv: Contains match-level information for all IPL matches from 2008 to 2017, including teams involved, match results, and other specifics like umpires and venues.
  • deliveries.csv: Contains ball-by-ball data for each match, including details on runs scored, wickets, batsmen, bowlers, and other events.

Key Features

  • Data Preparation & Cleaning: Cleaned and combined the datasets to ensure seamless integration for analysis.
  • Data Visualizations: Created various visualizations to analyze key match, player, and team statistics.
  • Interactivity: Implemented filters and customizations to allow interactive exploration of the data for deeper insights.
  • Dashboards: Built three distinct dashboards focusing on Match, Player, and Team statistics.

Tools and Technologies

  • Tableau: For data visualization and dashboard creation.
  • Data Processing: Excel or Python (if required for any preprocessing steps).

Repository Contents

  • IPL_Statistics_Dashboard.twbx: The Tableau workbook containing the interactive dashboards.
  • matches.csv: Dataset with match-level information.
  • deliveries.csv: Dataset with ball-by-ball information.
  • Summary_Presentation.pptx: PPT summarizing the analysis with key insights from the dashboards.

Insights & Findings

Through this analysis, I explored trends and patterns in IPL matches, player performances, and team statistics. Some of the key findings include:

  • Impact of toss outcome on match results across various venues.
  • Top-performing players in each season and their statistics.
  • Comparison of home vs away match win percentages for each team.

Instructions to Use

  1. Download the .twbx Tableau workbook to open the dashboards in Tableau.
  2. Open the file in Tableau Desktop or Tableau Reader.
  3. Use filters to explore different categories and view insights for various IPL seasons.

About

This project analyzes IPL (Indian Premier League) 🏏 data from 2008-2017 using Tableau πŸ“Š to create interactive dashboards. It explores match outcomes, player performances πŸ…, and team statistics πŸ“ˆ, offering insights into trends, top players 🌟, and team performances. The project uses `matches.csv` πŸ“ and `deliveries.csv` πŸ“‚ datasets to visualize

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published