https://github.com/zobayerakib/exploratory-data-analysis

https://github.com/zobayerakib/exploratory-data-analysis

bpl darazbd eda ipl mathplotlib seaborn

Last synced: 12 months ago
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• Host: GitHub
• URL: https://github.com/zobayerakib/exploratory-data-analysis
• Owner: ZobayerAkib
• License: mit
• Created: 2024-06-12T20:39:44.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-12T20:48:57.000Z (over 1 year ago)
• Last Synced: 2025-01-19T22:51:53.398Z (about 1 year ago)
• Topics: bpl, darazbd, eda, ipl, mathplotlib, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.26 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: License

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README

          
# [![Typing SVG](https://readme-typing-svg.demolab.com?font=Fira+Code&pause=1000&random=false&width=435&lines=Exploratory+Data+Analysis+Projects)](https://git.io/typing-svg)

This repository contains three data analysis projects based on different datasets: Bangladesh Premier League (BPL) data, Indian Premier League (IPL) data, and Daraz Bangladesh headphone sales dataset. Each project includes data cleaning, exploratory data analysis (EDA), visualization, and findings.

## Projects Overview

1. **Bangladesh Premier League (BPL) Data Analysis**

   - **Objective:** Analyze BPL cricket data to derive insights into player performance, team dynamics, and match outcomes.

   - **Tools Used:** Python (Pandas, Matplotlib, Seaborn).

   - **Key Findings:** Identified top-performing players, analyzed team strategies across seasons, and explored correlations between player statistics and match results.

   -

2. **Indian Premier League (IPL) Data Analysis**

   - **Objective:** Analyze IPL cricket data to explore trends in team performance, player statistics, and match dynamics.

   - **Tools Used:** Python (Pandas, Matplotlib, Seaborn).

   - **Key Findings:** Highlighted standout players, compared team performances across different seasons, and uncovered insights into factors influencing match results.

 

3. **Daraz Bangladesh Headphone Sales Dataset Analysis**

   - **Objective:** Analyze sales data from Daraz Bangladesh to understand consumer preferences and market trends related to headphones.

   - **Tools Used:** Python (Pandas, Matplotlib, Seaborn).

   - **Key Findings:** Identified top-selling headphone brands, analyzed customer reviews and ratings, and explored price sensitivity in the market.