1 Load packages
library(tidyverse) # data wrangling2 Data
Here’s a opionated list of data sets useful for teaching purposes:
mtcarstipsflights(NYCflights13)Saratoga housesdiamondswo_menOECD well-beingpenguinsAmes housingteacher rating
Note that the data sets are provided as standard CSV files (comma separeted, dots as delimiters).
3 Data repositories
Check this out for longish compilations of data sets useful for data analysis:
4 How to import into R
- Open the web page of the data by clicking on the respective
[csv]link (above) - Copy the URL of that web page to your clipboard (control-c)
- Paste the URL to the following R code
- Execute the R code below:
# replace the following URL with your URL
data_url <- "https://vincentarelbundock.github.io/Rdatasets/csv/AER/TeachingRatings.csv"
library(tidyverse) # remember to install once upfront
d <- read_csv(data_url)Check it:
glimpse(d)
#> Rows: 463
#> Columns: 13
#> $ ...1 <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,…
#> $ minority <chr> "yes", "no", "no", "no", "no", "no", "no", "no", "no", "no…
#> $ age <dbl> 36, 59, 51, 40, 31, 62, 33, 51, 33, 47, 35, 37, 42, 49, 37…
#> $ gender <chr> "female", "male", "male", "female", "female", "male", "fem…
#> $ credits <chr> "more", "more", "more", "more", "more", "more", "more", "m…
#> $ beauty <dbl> 0.2899157, -0.7377322, -0.5719836, -0.6779634, 1.5097940, …
#> $ eval <dbl> 4.3, 4.5, 3.7, 4.3, 4.4, 4.2, 4.0, 3.4, 4.5, 3.9, 3.1, 4.0…
#> $ division <chr> "upper", "upper", "upper", "upper", "upper", "upper", "upp…
#> $ native <chr> "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "y…
#> $ tenure <chr> "yes", "yes", "yes", "yes", "yes", "yes", "yes", "yes", "y…
#> $ students <dbl> 24, 17, 55, 40, 42, 182, 33, 25, 48, 16, 18, 30, 28, 30, 2…
#> $ allstudents <dbl> 43, 20, 55, 46, 48, 282, 41, 41, 60, 19, 25, 34, 40, 36, 2…
#> $ prof <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,…Yeah!
Don’t worry about the first column with the strange name ...1, that’s
nothing but a technical artifact. Just ignore it.
5 Reproducibility
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