Dplyr Essentials (easy data manipulation in R): select, mutate, filter, group_by, summarise, & more
Dplyr Essentials (easy data manipulation in R): select, mutate, filter, group_by, summarise, & more
Timeline
0:00 Intro
1:01 Piping
2:15 select()
4:36 mutate()
5:54 filter()
7:19 distinct()
8:39 group_by()
8:53 summarise()
9:40 arrange()
10:26 count()
Links:
https://www.rstudio.com/wp-content/uploads/2015/02/data-wrangling-cheatsheet.pdf
https://www.kaggle.com/dhruvildave/billboard-the-hot-100-songs
https://github.com/abhimotgi/dataslice/blob/master/R/Dplyr%20Essentials.Rmd
Watch on YouTube ↗
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Chapters (10)
Intro
1:01
Piping
2:15
select()
4:36
mutate()
5:54
filter()
7:19
distinct()
8:39
group_by()
8:53
summarise()
9:40
arrange()
10:26
count()
Playlist
Uploads from Dataslice · Dataslice · 20 of 22
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Web Scrape Nested Links/Multiple Pages - Web Scraping in R (Part 2)
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Web Scrape Multiple Pages with Loops - Web Scraping in R (Part 3)
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Web Scrape Tables - Web Scraping in R (Part 4)
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Web Scrape in Google Sheets: IMPORTHTML, IMPORTDATA, & IMPORTFEED Functions (Part 1)
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Web Scrape in Google Sheets: IMPORTXML Function (Part 2)
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R Maps: Beautiful Interactive Choropleth & Scatter Maps with Plotly
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Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 2: Adding Posts
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Build a Data Science Portfolio (Free & Easy) with Jekyll & GitHub Pages | Part 3: Customization
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Regex Basics | Match, Extract, and Clean Text
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Scrape Websites with Regular Expressions
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Dplyr Essentials (easy data manipulation in R): select, mutate, filter, group_by, summarise, & more
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