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.
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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.
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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.
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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.