Shout out to everyone that tuned in today!! 🙌 Link to the final app we deploy is here: keithgalli.shinyapps.io/olympics/. My notebook & app code can be found on this github branch: github.com/KeithGalli/Olympics-Dataset/tree/livestream Let me know what livestreams I should do in the future!
Hi, Thank you so much for your videos! Very useful. i like how you think make mistake etc during the video when you solve problems. Please could you please make another vidoe of solving data structure problem in algoExpert or leetcode or something like this.
So basically each athlete has their own page on the olympedia.org website so I programmatically ran a loop that went from 1 to like 150000 scraping the info from each athlete page and combining it together into a single file. I added the scraping code to the github repo, you can check it out here: github.com/KeithGalli/Olympics-Dataset/blob/master/scrape_data.py
@@KeithGalli Oh 10x a lot sensei, You cannot even imagine how much progress you have made in my career. Please continue to learn and improve yourself, because there are many young people who are developing and learning with you. Greetings from Turkiye .We keep on following :))
Sir , did u scrap the different info of data and cleaned it and then uploaded in the git hub repo?. If so, Could you please make a video on that too so that we can learn how to scrap ,clean and combine
That's correct. I'm not sure if I'll make a video on the scraping portion, but I've shared the scraping code on github: github.com/KeithGalli/Olympics-Dataset/blob/master/scrape_data.py and you can watch the previous data cleaning live stream I did to see how we processed the raw data files: ua-cam.com/users/liveoad9tVEsfI0?si=G6ttSJxJpp8AiuDp
at this point 59:33 instead of removing YOG I just included only Olympic games and it's giving perfect result : 2974 medals = results[(results['medal'].notna()) & (results['event'].str.endswith('(Olympic)'))]
Shout out to everyone that tuned in today!! 🙌
Link to the final app we deploy is here: keithgalli.shinyapps.io/olympics/.
My notebook & app code can be found on this github branch: github.com/KeithGalli/Olympics-Dataset/tree/livestream
Let me know what livestreams I should do in the future!
AMAZING LIVE STREAM, LOVED IT, THANK YOU FOR SHARING YOUR KNOWLEDGE WITH US!
complete data analysis in polars will be helpful
Subbed only with the hope youll do more lives
Nice code and information 😊
thank you for another information video ‼️‼️
great tutorial!!
What you show is how real world issues happen and resolved. That how we learn
Love from India 🥰🇮🇳
Hi, Thank you so much for your videos! Very useful. i like how you think make mistake etc during the video when you solve problems. Please could you please make another vidoe of solving data structure problem in algoExpert or leetcode or something like this.
Definitely will make more videos/livestreams doing algoexpert/leetcode soon!
How did you extract the data from website in the first place?
So basically each athlete has their own page on the olympedia.org website so I programmatically ran a loop that went from 1 to like 150000 scraping the info from each athlete page and combining it together into a single file. I added the scraping code to the github repo, you can check it out here: github.com/KeithGalli/Olympics-Dataset/blob/master/scrape_data.py
@@KeithGalli Oh 10x a lot sensei,
You cannot even imagine how much progress you have made in my career. Please continue to learn and improve yourself, because there are many young people who are developing and learning with you.
Greetings from Turkiye .We keep on following :))
Sir , did u scrap the different info of data and cleaned it and then uploaded in the git hub repo?. If so, Could you please make a video on that too so that we can learn how to scrap ,clean and combine
That's correct. I'm not sure if I'll make a video on the scraping portion, but I've shared the scraping code on github: github.com/KeithGalli/Olympics-Dataset/blob/master/scrape_data.py and you can watch the previous data cleaning live stream I did to see how we processed the raw data files: ua-cam.com/users/liveoad9tVEsfI0?si=G6ttSJxJpp8AiuDp
🏁🏁🏁
at this point 59:33 instead of removing YOG I just included only Olympic games and it's giving perfect result : 2974
medals = results[(results['medal'].notna()) & (results['event'].str.endswith('(Olympic)'))]
Nice, good solution. Thanks for sharing!