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Tidy Tuesday live screencast


Tidy Tuesday R Screencasts - YouTube

All the screencasts where I analyze Tidy Tuesday datasets using R and RStudio. Each was performed without looking at the data in advance.

Tidy Tuesday live screencast: Analyzing Doctor Who in R - YouTube

I'll analyze a dataset about the television series Doctor Who, without looking at the dataset in advance. The dataset comes from the Tidy ...

Tidy Tuesday live screencast: Analyzing NYC elevators in R

I'll analyze a dataset about NYC elevators, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: ...

80+ hours of David Robinson's TidyTuesday screencasts annotated ...

I've been really enjoying Julia Silge's TidyTuesday screencasts and was wondering if there was more of that kind of stuff, so this is perfect!

Tidy Tuesday live screencast: Analyzing water access points in R

I'll analyze a dataset about water access points, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday ...

Tidy Tuesday live screencast: Analyzing registered nurses in R

I'll analyze a dataset about registered nurses in the US, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday ...

dgrtwo/data-screencasts: Code from live exploratory ... - GitHub

Code from screencasts of #tidytuesday. These are the R Markdown documents produced during live analyses of #tidytuesday data.

Tidy Tuesday live screencast: Analyzing Horror Movies in R - YouTube

I'll analyze a dataset about horror movies, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday project: ...

Tidy Tuesday live screencast: Analyzing Billboard 100 songs in R

I'll analyze a dataset about Billboard Top 100 songs, without looking at the dataset in advance. The dataset comes from the Tidy Tuesday ...

Tidy Tuesday screencast: analyzing Simpsons guest stars and ...

I analyze a dataset on Simpsons guest stars as an example of exploratory data analysis in R, performed without looking at the data in ...

Tidy Tuesday live screencast: Analyzing Ninja Warrior in R - YouTube

I'll analyze a dataset about the Ninja Warrior obstacle course TV series, without looking at the dataset in advance.

David Robinson - YouTube

Live. Podcasts. Playlists. Search. Latest. Popular. Oldest. 41:37 ... Tidy Tuesday screencast: analyzing Simpsons guest stars and dialogue in R.

Tidy Tuesday screencast: exploring US beer production - YouTube

I analyze a dataset of US beer production wins as an example of exploratory data analysis in R, performed without looking at the data in ...

Sliding windows for #TidyTuesday rents in San Francisco - Julia Silge

This is the latest in my series of screencasts, but it is not about tidymodels this time around! ... Live. •. An error occurred. Try watching ...

Downloading the YouTube playlist for TidyTuesday

R Script for Downloading Playlist Video Titles ; Tidy Tuesday live screencast: Analyzing post offices in R · I'll analyze a dataset about US post ...

Tidy Tuesday screencast: analyzing ratings and scripts from The Office

55:13. Go to channel · Tidy Tuesday live screencast: Analyzing Billboard 100 songs in R. David Robinson•3.5K views · 1:03:23. Go to channel ...

Official repo for the #tidytuesday project - GitHub

Our over-arching goal for TidyTuesday is to make it easier to learn to work with data, by providing real-world datasets.

Tidy Tuesday live screencast: Analyzing Tour de France data in R

I'll analyze a dataset on the Tour de France competition in R, without looking at the data in advance. For the first time (and just as an ...

Tidyverse tips gathered from Dave Robinson's screencasts

Tidy notes I took from Dave Robinson's screencasts #TidyTuesday. ... Each week, he goes live for an hour or so, and does exploratory analyses in R with data ...

Positron in action with #TidyTuesday orca encounters - Julia Silge

In this screencast, I give you a first look at what data analysis with Positron will look like, using this week's #TidyTuesday dataset on orca encounters in ...