{"id":18244165,"url":"https://github.com/nouraalgohary/fifa-world-cup-data-analysis","last_synced_at":"2026-03-19T03:29:20.880Z","repository":{"id":220617840,"uuid":"747268677","full_name":"NouraAlgohary/FIFA-World-Cup-Data-Analysis","owner":"NouraAlgohary","description":null,"archived":false,"fork":false,"pushed_at":"2024-02-03T05:04:01.000Z","size":157,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-08T18:37:36.271Z","etag":null,"topics":["data","dataanalysis","powerbi","powerbi-visuals"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NouraAlgohary.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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}},"created_at":"2024-01-23T15:49:00.000Z","updated_at":"2024-01-23T16:08:12.000Z","dependencies_parsed_at":"2024-02-03T05:29:52.149Z","dependency_job_id":null,"html_url":"https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis","commit_stats":null,"previous_names":["nouraalgohary/fifa-world-cup-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/NouraAlgohary/FIFA-World-Cup-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NouraAlgohary%2FFIFA-World-Cup-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NouraAlgohary%2FFIFA-World-Cup-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NouraAlgohary%2FFIFA-World-Cup-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NouraAlgohary%2FFIFA-World-Cup-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NouraAlgohary","download_url":"https://codeload.github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NouraAlgohary%2FFIFA-World-Cup-Data-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28565001,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-19T08:53:44.001Z","status":"ssl_error","status_checked_at":"2026-01-19T08:52:40.245Z","response_time":67,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["data","dataanalysis","powerbi","powerbi-visuals"],"created_at":"2024-11-05T09:15:40.361Z","updated_at":"2026-01-19T09:35:03.734Z","avatar_url":"https://github.com/NouraAlgohary.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# FIFA-World-Cup-Data-Analysis\n\n## Power BI Dashboard\nYou can view my interactive Power BI Report [here](https://app.powerbi.com/groups/me/reports/41614564-3ab7-4418-998e-ae25f0e83747/ReportSection?experience=power-bi). \n\n![Capture](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/b998f44b-43f1-4a99-bb63-ebfb0552d672)\n\n\n## Project Overview:\nThis project involves extracting, profiling, and analyzing FIFA World Cup data from the Wikipedia website. The primary focus is on creating a comprehensive report that includes key information such as the year, host country, champion, runner-up, final score, and the number of participating teams. The project aims to provide insightful visualizations for better understanding and interpretation of the data.\n\n## Project Steps:\n### 1. Data Extraction:\n\nExtract data from the relevant tables on the Wikipedia page: [FIFA World Cup Wikipedia](https://en.wikipedia.org/wiki/FIFA_World_Cup) using Power BI import mode.\n\n![image](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/22a6e5f8-eb84-40c4-b6b1-614e1a57cfb4)\n\n\n### 2. Data Profiling:\n#### Data Types and Formats:\n- Ed. (Edition):\u003c/br\u003e\nData Type: Numeric\u003c/br\u003e\nDescription: Represents the edition or number of the FIFA World Cup. It indicates the sequential order of each tournament.\u003c/br\u003e\n\n- Year:\u003c/br\u003e\nData Type: Numeric\u003c/br\u003e\nDescription: Indicates the calendar year in which the FIFA World Cup tournament took place.\u003c/br\u003e\n\n- Host:\u003c/br\u003e\nData Type: Categorical\u003c/br\u003e\nDescription: Specifies the country that hosted the FIFA World Cup for a particular edition.\u003c/br\u003e\n\n- Final, Third-place play-off, Champion, Runner-up, Third, Fourth:\u003c/br\u003e\nData Type: Categorical\u003c/br\u003e\nDescription: These columns provide information about the teams involved in different stages of the tournament:\u003c/br\u003e\n\"Final\" indicates the teams that reached the final match.\u003c/br\u003e\n\"Third-place play-off\" indicates the teams that competed for the third-place position.\u003c/br\u003e\n\"Champion\" indicates the team that won the championship.\u003c/br\u003e\n\"Runner-up\" indicates the team that finished as the runner-up.\u003c/br\u003e\n\"Third\" indicates the team that finished in third place.\u003c/br\u003e\n\"Fourth\" indicates the team that finished in fourth place.\u003c/br\u003e\n\n- No. of teams:\u003c/br\u003e\nData Type: Numeric\u003c/br\u003e\nDescription: Represents the total number of teams that participated in a specific edition of the FIFA World Cup.\u003c/br\u003e\n\n#### Statistical Summary:\nNumber of editions of the FIFA World Cup\n\n![image](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/d3fb47a6-65c8-40c2-b182-48b2d224c981)\n\nDistribution of the World Cup years\n\n![image](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/93fb98db-d669-4590-a34b-2a43ae82f16f)\n\nFrequency of hosting by countries\n\n![image](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/1bb7eb8d-5260-4075-810b-fd9074c00623)\n\nFrequency of teams winning the championship\n\n![image](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/20fe045a-b17b-44dc-a299-1c305ed5aaec)\n\nNo. of teams\n![image](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/86f5c2ed-b2d9-4031-84ce-7cf2f9f27e9e)\n\n### 3. Data Cleaning and ETL:\n- Profile and clean the extracted data.\n- Perform Extract, Transform, and Load (ETL) operations to structure the data for analysis.\n- Load the following fields:\nYear\nHost Country\nChampion\nRunner-up\nFinal Score\nNumber of Teams\n\n![image](https://github.com/NouraAlgohary/FIFA-World-Cup-Data-Analysis/assets/103903785/31d23f60-34fb-4b4b-a778-20b4c507acba)\n\n### 4. Report Visualization:\nI chose appropriate visuals to convey the following insights:\u003c/br\u003e\na. Host Country Frequency: \u003c/br\u003e\n\u0026emsp;Display the number of times the championship was hosted by the host country  on a map. \u003c/br\u003e\nb. Top 5 World Cup Winners:\u003c/br\u003e\n\u0026emsp;Highlight the top 5 countries that have won the World Cup the most.\u003c/br\u003e\nc. Teams Participation:\u003c/br\u003e\n\u0026emsp;Showcase the number of teams that participated in each championship.\u003c/br\u003e\nd. Detailed Table:\u003c/br\u003e\n\u0026emsp;Create a table displaying all the relevant fields in a clear and organized manner.\u003c/br\u003e\ne. Yearly Filtering:\u003c/br\u003e\n\u0026emsp;Implement a filter mechanism allowing users to filter the dashboard by year.\u003c/br\u003e\n\n_This documentation serves as a guide for project execution, ensuring a systematic approach to extracting, processing, and visualizing FIFA World Cup data for meaningful insights._\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnouraalgohary%2Ffifa-world-cup-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnouraalgohary%2Ffifa-world-cup-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnouraalgohary%2Ffifa-world-cup-data-analysis/lists"}