Скачать с ютуб Real-World Dataset Cleaning with Python Pandas! (Olympic Athletes Dataset) в хорошем качестве

Real-World Dataset Cleaning with Python Pandas! (Olympic Athletes Dataset)

I'm prepping a dataset for an upcoming tutorial and I figured walking through the process of cleaning it would work well for a livestream! We use various Python Pandas functions to accomplish our data cleaning goals. We'll be working off of this repo: https://github.com/KeithGalli/Olympic... Some topics that we cover: - How you can use web scraping to collect data like this (Python beautifulsoup). - Splitting strings into separate columns - Using regular expressions (regexes) to extract specific details from columns - Converting columns to datetime & numeric types - Grabbing only a subset of our columns Sorry that this was a bit last minute scheduling-wise, will try to give more advance notice in the future! Video timeline! 0:00 - Livestream Overview 4:00 - About the Olympics dataset (source website and how it was scraped) 9:50 - Cleaning the dataset (getting started with code & data) 19:26 - What aspects of our data should be cleaned? 29:08 - Get rid of bullet points in Used name column 34:08 - How to split Measurements into two separate height/weight numeric columns. 1:05:00 - Parse out dates from Born & Died columns 1:25:43 - Parse out city, region, and country from Born column (working with regular expressions) 1:41:15 - Get rid of the extra columns 1:46:08 - Next steps (how would we clean the results.csv) 1:49:41 - Questions & Answers ------------------------- Follow me on social media! Instagram |   / keithgalli   Twitter |   / keithgalli   TikTok |   / keithgalli   ------------------------- Practice your Python Pandas data science skills with problems on StrataScratch! https://stratascratch.com/?via=keith Join the Python Army to get access to perks! YouTube -    / @keithgalli   Patreon -   / keithgalli   *I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.