{"id":24397877,"url":"https://github.com/zobayerakib/exploratory-data-analysis","last_synced_at":"2025-03-13T05:41:12.701Z","repository":{"id":244126815,"uuid":"814346283","full_name":"ZobayerAkib/Exploratory-Data-Analysis","owner":"ZobayerAkib","description":null,"archived":false,"fork":false,"pushed_at":"2024-06-12T20:48:57.000Z","size":1323,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-19T22:51:53.398Z","etag":null,"topics":["bpl","darazbd","eda","ipl","mathplotlib","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ZobayerAkib.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"License","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-06-12T20:39:44.000Z","updated_at":"2024-06-12T20:48:59.000Z","dependencies_parsed_at":"2024-06-13T02:43:31.261Z","dependency_job_id":"d0a990b4-f7eb-40f7-89a0-db06ed8fbbef","html_url":"https://github.com/ZobayerAkib/Exploratory-Data-Analysis","commit_stats":null,"previous_names":["zobayerakib/exploratory-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZobayerAkib%2FExploratory-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZobayerAkib%2FExploratory-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZobayerAkib%2FExploratory-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZobayerAkib%2FExploratory-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZobayerAkib","download_url":"https://codeload.github.com/ZobayerAkib/Exploratory-Data-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243351841,"owners_count":20276908,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bpl","darazbd","eda","ipl","mathplotlib","seaborn"],"created_at":"2025-01-19T22:49:26.847Z","updated_at":"2025-03-13T05:41:12.681Z","avatar_url":"https://github.com/ZobayerAkib.png","language":"Jupyter Notebook","readme":"# [![Typing SVG](https://readme-typing-svg.demolab.com?font=Fira+Code\u0026pause=1000\u0026random=false\u0026width=435\u0026lines=Exploratory+Data+Analysis+Projects)](https://git.io/typing-svg)\n\nThis 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.\n\n## Projects Overview\n\n1. **Bangladesh Premier League (BPL) Data Analysis**\n\n   - **Objective:** Analyze BPL cricket data to derive insights into player performance, team dynamics, and match outcomes.\n   - **Tools Used:** Python (Pandas, Matplotlib, Seaborn).\n   - **Key Findings:** Identified top-performing players, analyzed team strategies across seasons, and explored correlations between player statistics and match results.\n   -\n\n2. **Indian Premier League (IPL) Data Analysis**\n\n   - **Objective:** Analyze IPL cricket data to explore trends in team performance, player statistics, and match dynamics.\n   - **Tools Used:** Python (Pandas, Matplotlib, Seaborn).\n   - **Key Findings:** Highlighted standout players, compared team performances across different seasons, and uncovered insights into factors influencing match results.\n \n\n3. **Daraz Bangladesh Headphone Sales Dataset Analysis**\n\n   - **Objective:** Analyze sales data from Daraz Bangladesh to understand consumer preferences and market trends related to headphones.\n   - **Tools Used:** Python (Pandas, Matplotlib, Seaborn).\n   - **Key Findings:** Identified top-selling headphone brands, analyzed customer reviews and ratings, and explored price sensitivity in the market.\n  \n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzobayerakib%2Fexploratory-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzobayerakib%2Fexploratory-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzobayerakib%2Fexploratory-data-analysis/lists"}