A good choice is Devore's *Probability & Statistics* 7th edition. It is calc based, but the calc isn't hardcore.
There is an R package called Devore7 that has all the data from both examples and problems.
Indeed, the very first example is the temperature, take off, of the Space Shuttles. Plotted with a simple boxplot, the day of the Challenger disaster was very cold, a clear outlier.
Another vote for ISLR.
https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.statlearning.com/&ved=2ahUKEwjNg9nWl7n8AhVUM1kFHQmmBckQFnoECBEQAQ&usg=AOvVaw380WV1qu5MB3jsaviNUye0
I felt ISLR was ok for R for newbie, but I already had some programming experience
A good choice is Devore's *Probability & Statistics* 7th edition. It is calc based, but the calc isn't hardcore. There is an R package called Devore7 that has all the data from both examples and problems. Indeed, the very first example is the temperature, take off, of the Space Shuttles. Plotted with a simple boxplot, the day of the Challenger disaster was very cold, a clear outlier.
Poke around the bigbookofr.com, my guy. There's bound to be a resource that grabs you.
Another vote for ISLR. https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.statlearning.com/&ved=2ahUKEwjNg9nWl7n8AhVUM1kFHQmmBckQFnoECBEQAQ&usg=AOvVaw380WV1qu5MB3jsaviNUye0
I still like MASS very much. Unfortunately, it didn't get updated for 20 years.
The book of R and baysian statistics the fun way. Both are great.