Data Analysis 5: Data Reduction – Computerphile
Too much data? Dr Mike Pound on how best to reduce your dataset. This is part 5 of the Data Analysis Learning Playlist:
This Learning Playlist was designed by Dr Mercedes Torres-Torres & Dr Michael Pound of the University of Nottingham Computer Science Department. Find out more about Computer Science at Nottingham here:
This series was made possible by sponsorship from by Google.
The music dataset can be found here:
This video was filmed and edited by Sean Riley.
Computer Science at the University of Nottingham:
Computerphile is a sister project to Brady Haran’s Numberphile. More at
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data analysis
Keep your camera straight, please!
You're completely wrong about how Spotify finds recommendations – they don't analyse the music whatsoever (like Pandora did back in the day) they just go on what other people put in their playlists and find people who are similar to you and pick songs from their playlists that aren't in yours.
Khan Academy, but for nerds
Do you have a link to the dataset you are using?
This wonky camera angle is very uncomfortable
Great series
What's the difference from data cleaning?
Being French, the way Dr Pound pronounces "genre" seems so weird.
Have you tried fread() … Slightly faster to read csv
4:08 artist_hotttnesss – LOL
In the previous episodes, R was okay. But for this one, you should've used Splunk.
2:26 wait a second, does Dr Mike Pound have Heterochromia iridum ???
one viable definition of 'big data' is, when it crashes excel… making you wait an unreasonable amount of time, when processed in R, could be another one.
This playlist is a goldmine
When I see Dr. Mike in thumbnail, the time that it takes to click on a video is greatly reduced.
Amazing series, great topic, great teacher! I'm actually excited for next semester now where I get to do this stuff in class!
Everyone subscribe to me or i will give your cpu a cold, erm i mean virus
When the intro sounds like an intro of either a reality TV show or a video game. Great work Computerphile.
Youtube: How about watching 6 videos at once????