Rsquared Academy

Learn R for data analysis in your browser. Interactive courses with instant feedback, free to start.

[Rsquared Academy @rsquaredacademy]

We're rebuilding Rsquared Academy.

Interactive R courses that run in your browser, with instant feedback. The first three open soon and are free.

Free eBooks and R packages:
https://t.co/viJHzZvL5l

[Rsquared Academy @rsquaredacademy]

Domain names from email ids with stringr: split on @, take the second part, split on the dot, keep the first.

emails |> str_split(pattern = "@") |> map_chr(2) |> str_split(pattern = "\\.") |> map_chr(1)

https://t.co/zMIqoHIJ82

#rstats #stringr

[Rsquared Academy @rsquaredacademy]

Set the name, breaks and limits of an axis in ggplot2:

scale_x_continuous(name = "Displacement (cu. in.)", breaks = seq(100, 500, by = 100))
scale_y_continuous(name = "Miles per gallon", limits = c(0, 40))

https://t.co/xhIkojhGIP

#rstats #ggplot2

[Rsquared Academy @rsquaredacademy]

Wide to long with tidyr: pivot_longer() stacks metric columns into rows.

wide |> pivot_longer(-device, names_to = "metric", values_to = "mean_value")

https://t.co/eD0lZOws2p
#rstats #tidyr

[Rsquared Academy @rsquaredacademy]

Pull the parts out of a date-time with lubridate. For ymd_hms("2019-12-12 08:05:03"), year() returns 2019, month(label = TRUE, abbr = FALSE) returns December and week() returns 50.

https://t.co/TeVesE76SW
#rstats #lubridate

[Rsquared Academy @rsquaredacademy]

Summary statistics for a numeric variable in one call with descriptr:

ds_summary_stats(mtcarz, mpg)

Mean, median, mode, spread, skewness, kurtosis, quantiles and extreme values.

https://t.co/PQ7pZQJifG

#rstats #descriptr

[Rsquared Academy @rsquaredacademy]

Average order value by device, in one dplyr pipe:

ecom |> filter(purchase) |> summarise(revenue = sum(order_value), orders = n(), .by = device) |> mutate(aov = revenue / orders)

https://t.co/KaGg8jbolZ

#rstats #dplyr

[Rsquared Academy @rsquaredacademy]

Happy Diwali from Rsquared Academy.

Five diyas, drawn and lit in R with ggplot2; ffmpeg joins the frames into a GIF. The code is open:

https://t.co/iaXBWujc7o

#rstats

[Rsquared Academy @rsquaredacademy]

A first look at the new Rsquared Academy courses: each lesson runs R in your browser. Write code on the page and see the result next to it, with nothing to install. The first three courses are free.

Updates by email:
https://t.co/W9JVgFVEAx

#rstats

[Rsquared Academy @rsquaredacademy]

The native pipe |> writes nested R calls as steps, read left to right. It is built into R 4.1 and later:

mtcars$mpg |> sort(decreasing = TRUE) |> head(3)

The chapter includes a |> vs %>% cheat table.

https://t.co/ypI95JEXNv

#rstats

[Rsquared Academy @rsquaredacademy]

Market basket analysis finds items that are often bought together. Each rule is read through its support and lift. A walk-through with arules on the UCI online retail data:

https://t.co/lCutOy5dWP

#rstats

[Rsquared Academy @rsquaredacademy]

data.frame() quietly renames columns and partial-matches $:

A tibble keeps the name as typed, and t$order returns NULL with a warning.

https://t.co/5xh40QjxBi

#rstats

[Rsquared Academy @rsquaredacademy]

plot(mpg$displ, mpg$hwy) fails with "object not found"?

Base R has no mpg data (it has mtcars); mpg ships with ggplot2.

library(ggplot2)
ggplot(mpg, aes(displ, hwy)) + geom_point()

https://t.co/No3V5RbV65

#rstats #ggplot2

[Rsquared Academy @rsquaredacademy]

Which of your customers are champions, and which are about to drift away?

RFM analysis scores customers on Recency, Frequency and Monetary value. Our walkthrough segments them in R with the rfm package:
https://t.co/9gSuUmCUgE
#rstats

[Rsquared Academy @rsquaredacademy]

ಕನ್ನಡ ರಾಜ್ಯೋತ್ಸವದ ಶುಭಾಶಯಗಳು! Happy Kannada Rajyotsava.

The map and the flag are drawn in R: the Karnataka outline from Natural Earth, split at its middle latitude and filled yellow over red with sf and ggplot2.

Code: https://t.co/FdQxjBvLs6
#rstats #KannadaRajyotsava

[Rsquared Academy @rsquaredacademy]

Every ggplot2 chart starts the same way: map variables with aes() and add a geom_*() layer.

ggplot(mtcars, aes(disp, mpg)) + geom_point()

The Quick Tour covers scatter, bar, box and line plots.
https://t.co/loAfZP1P0k

#rstats #ggplot2

[R-bloggers @Rbloggers]

Introducing standby {https://t.co/8nScXW360m} #rstats #DataScience

[Rsquared Academy @rsquaredacademy]

📢new #rstats #shiny 📦alert 📢

Easily create alerts, notifications, tooltips and loading screens in Shiny

Blog: https://t.co/33Q60KWj6a

Docs: https://t.co/TcbB9Ji9X7

[Rsquared Academy @rsquaredacademy]

📢new #rstats📦alert 📢

yahoofinancer fetches historical and near real time data related to stocks, index and currencies from Yahoo Finance API.

Blog: https://t.co/Vi4fCmSM5H

Docs: https://t.co/ty2p9vdTou

https://t.co/XngJOD5u7A

[One R Package a Day @RLangPackage]

xplorerr - Tools for interactive data exploration built using 'shiny'. Includes apps for descriptive statistics, visualizing probability distributions, inferential statistics, linear regression, logistic regression and RFM analysis. #rstats https://t.co/Wy3uBwkOvu