{"id":19491572,"url":"https://github.com/mastermindromii/data-cleaning-using-power-query","last_synced_at":"2026-03-04T00:02:07.111Z","repository":{"id":241053780,"uuid":"804185901","full_name":"MasterMindRomii/Data-Cleaning-Using-Power-Query","owner":"MasterMindRomii","description":"A Simple Real-Time Data Cleaning Using Power Query in Power BI","archived":false,"fork":false,"pushed_at":"2024-05-22T05:56:50.000Z","size":1285,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-08T08:46:27.932Z","etag":null,"topics":["datacleaning","netflixdata","powerbi","powerquery","rawdata-converter"],"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/MasterMindRomii.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,"publiccode":null,"codemeta":null}},"created_at":"2024-05-22T05:50:11.000Z","updated_at":"2024-05-22T05:56:53.000Z","dependencies_parsed_at":"2024-05-22T06:43:20.104Z","dependency_job_id":"6360234f-5c89-41ab-81ae-39b22a3163a3","html_url":"https://github.com/MasterMindRomii/Data-Cleaning-Using-Power-Query","commit_stats":null,"previous_names":["mastermindromii/data-cleaning-using-power-query---power-bi"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterMindRomii%2FData-Cleaning-Using-Power-Query","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterMindRomii%2FData-Cleaning-Using-Power-Query/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterMindRomii%2FData-Cleaning-Using-Power-Query/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MasterMindRomii%2FData-Cleaning-Using-Power-Query/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MasterMindRomii","download_url":"https://codeload.github.com/MasterMindRomii/Data-Cleaning-Using-Power-Query/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240738092,"owners_count":19849546,"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":["datacleaning","netflixdata","powerbi","powerquery","rawdata-converter"],"created_at":"2024-11-10T21:17:22.317Z","updated_at":"2026-03-04T00:02:07.062Z","avatar_url":"https://github.com/MasterMindRomii.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Power Query Practice in Power BI\n\nWelcome to the Power Query Practice repository! This project is focused on various data cleaning techniques using Power Query in Power BI. \n\n## Project Overview\n\nIn this project, we perform the following tasks:\n\n1. **Column Profiling**: Understanding the data types and distribution of values in each column.\n2. **Dealing with Missing Values**: Identifying and handling empty or blank values.\n3. **Encoding Nulls**: Converting null values into a format suitable for analysis.\n4. **Imputing Missing Values**: Replacing missing values with appropriate substitutes.\n5. **Working with Dates**: Cleaning and formatting date values.\n6. **Adding New Columns**: Creating new columns based on existing data.\n7. **Splitting / Extracting Data**: Dividing columns into multiple parts or extracting specific data.\n8. **Extracting First Item**: Extracting the first item from lists or text strings.\n9. **Text / Sentiment Analysis**: Performing basic text analysis and sentiment evaluation.\n10. **Filtering Unnecessary Data**: Removing irrelevant rows or columns to streamline the dataset.\n\n## Data Source\n\nTo follow along with this project, download the sample data from Kaggle:\n\n📁 [Download Sample Data](https://www.kaggle.com/datasets/shiva...)\n\n## How to Use This Repository\n\n### Clone the Repository\n\nFirst, clone the repository to your local machine:\n\n```bash\ngit clone https://github.com/MasterMindRomii/Data-Cleaning-Using-Power-Query\ncd Data-Cleaning-Using-Power-Query\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmastermindromii%2Fdata-cleaning-using-power-query","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmastermindromii%2Fdata-cleaning-using-power-query","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmastermindromii%2Fdata-cleaning-using-power-query/lists"}