{"id":18953105,"url":"https://github.com/packtworkshops/the-data-wrangling-workshop","last_synced_at":"2025-04-16T02:31:47.064Z","repository":{"id":37222753,"uuid":"242920829","full_name":"PacktWorkshops/The-Data-Wrangling-Workshop","owner":"PacktWorkshops","description":"pandas, numpy, matplotlib, data-wrangling","archived":false,"fork":false,"pushed_at":"2022-12-08T03:06:03.000Z","size":4103,"stargazers_count":28,"open_issues_count":12,"forks_count":109,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-29T05:22:30.651Z","etag":null,"topics":[],"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/PacktWorkshops.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}},"created_at":"2020-02-25T05:47:40.000Z","updated_at":"2025-02-20T06:23:24.000Z","dependencies_parsed_at":"2023-01-24T07:15:48.240Z","dependency_job_id":null,"html_url":"https://github.com/PacktWorkshops/The-Data-Wrangling-Workshop","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Data-Wrangling-Workshop","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Data-Wrangling-Workshop/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Data-Wrangling-Workshop/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Data-Wrangling-Workshop/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PacktWorkshops","download_url":"https://codeload.github.com/PacktWorkshops/The-Data-Wrangling-Workshop/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249184537,"owners_count":21226397,"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":[],"created_at":"2024-11-08T13:36:14.786Z","updated_at":"2025-04-16T02:31:44.600Z","avatar_url":"https://github.com/PacktWorkshops.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# The Data Wrangling Workshop\n[![GitHub issues](https://img.shields.io/github/issues/PacktWorkshops/The-Data-Wrangling-Workshop.svg)](https://github.com/PacktWorkshops/The-Data-Wrangling-Workshop/issues)\n[![GitHub forks](https://img.shields.io/github/forks/PacktWorkshops/The-Data-Wrangling-Workshop.svg)](https://github.com/PacktWorkshops/The-Data-Wrangling-Workshop/network)\n[![GitHub stars](https://img.shields.io/github/stars/PacktWorkshops/The-Data-Wrangling-Workshop.svg)](https://github.com/PacktWorkshops/The-Data-Wrangling-Workshop/stargazers)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/PacktWorkshops/The-Data-Wrangling-Workshop/pulls)\n[![versions](https://img.shields.io/pypi/pyversions/pybadges.svg)](https://www.python.org/downloads/)\n\nThis is the repository for [The Data Wrangling Workshop](https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611065162\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801078955\u0026utm_term=Data%20Wrangling\u0026utm_content=The%20Data%20Wrangling%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish.\n\n## Requirements and Setup\n\u003ca href=\"https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611065162\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801078955\u0026utm_term=Data%20Wrangling\u0026utm_content=The%20Data%20Wrangling%20Workshop\"\u003e\u003cimg src=\"https://github.com/PacktWorkshops/Workshop-Covers/blob/master/B15780_The%20Data%20Wrangling%20Workshop.png\" alt=\"The Data Wrangling Workshop\" height=\"290px\" width=\"230px\" align=\"right\" this.target=\"_blank\"\u003e\u003c/a\u003e\n\nTo get started with the project files, you'll need to:\n1. Install Jupyter on [Windows](https://www.python.org/downloads/windows/), [Mac](https://www.python.org/downloads/mac-osx/), [Linux](https://www.python.org/downloads/source/)\n2. Install Anaconda on [Windows](https://www.anaconda.com/distribution/#windows), [Mac](https://www.anaconda.com/distribution/#macos), [Linux](https://www.anaconda.com/distribution/#linux)\n\n## About The Data Wrangling Workshop\nData is the new oil, but it’s often in a crude form. To perform anything meaningful, such as data modeling, data visualization, or predictive analysis, you first need to wrangle with and refine data. [The Data Wrangling Workshop](https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611065162\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801078955\u0026utm_term=Data%20Wrangling\u0026utm_content=The%20Data%20Wrangling%20Workshop) equips you with the knowledge you need to get up and running with data wrangling in no time.\t\n\n## What you will learn\n* Get to grips with the fundamentals of data wrangling \n* Understand how to model data with random data generation and data integrity checks \n* Discover how to examine data with descriptive statistics and plotting techniques \n* Explore how to search and retrieve information with regular expressions \n* Delve into commonly-used Python data science libraries  \n* Become well-versed with how to handle and compensate for missing data \n\n## Related Workshops\nIf you've found this repository useful, you might want to check out some of our other workshop titles:\n* [The Applied SQL Data Analytics Workshop](https://www.amazon.com/Applied-SQL-Data-Analytics-Workshop-ebook/dp/B085D91RNK/ref=sr_1_2?crid=1FDBQD0TEVVF9\u0026dchild=1\u0026keywords=applied%20sql%20data%20analytics%20workshop\u0026qid=1610707878\u0026sprefix=applied%20sql%20dat%2Caps%2C330\u0026sr=8-2\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781800203679\u0026utm_term=Applied%20SQL%20Data%20Analytics\u0026utm_content=The%20Applied%20SQL%20Data%20Analytics%20Workshop)\n* [The Data Analysis Workshop](https://www.amazon.com/Data-Analysis-Workshop-state-art-ebook/dp/B08Q8HXRQ4/ref=sr_1_1?dchild=1\u0026keywords=The%20Data%20Analysis%20Workshop\u0026qid=1610708839\u0026sr=8-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781839211386\u0026utm_term=Data%20Analysis\u0026utm_content=The%20Data%20Analysis%20Workshop)\n* [The Data Visualization Workshop](https://www.amazon.com/Data-Visualization-Workshop-transforming-captivating-ebook/dp/B08Q8FGCZ7/ref=sr_1_1?dchild=1\u0026keywords=The%20Data%20Visualization%20Workshop\u0026qid=1610977055\u0026sr=8-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801073899\u0026utm_term=Data%20Visualization\u0026utm_content=The%20Data%20Visualization%20Workshop)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpacktworkshops%2Fthe-data-wrangling-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpacktworkshops%2Fthe-data-wrangling-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpacktworkshops%2Fthe-data-wrangling-workshop/lists"}