Thank you for this nice resource. This year I use it with students for the first time. I encountered one blind spot in chapter 1 on importing self-generated text data into R. I know this is trivial if you know how to think in code and R. For the book's audience this might not be a valid assumption. Therefore, I am missing a section on organizing and reading self-generated textdata into the working environment, in addition to working with Jane Austin's books and the Gutenberg Dataset.
I suggest to my students to organize their texts (e.g. from interviews) into separate text files in a sub-directory before loading them into R. So I would really like to find something around the following boilerplate in the book.
I think that a brief section on this little topic would make a great addition to chapter 1. It would offer readers with beginner's knowledge of working with self-generated unstructured data in R a nice way to put the concepts into practice.
Hi David and Julia
Thank you for this nice resource. This year I use it with students for the first time. I encountered one blind spot in chapter 1 on importing self-generated text data into R. I know this is trivial if you know how to think in code and R. For the book's audience this might not be a valid assumption. Therefore, I am missing a section on organizing and reading self-generated textdata into the working environment, in addition to working with Jane Austin's books and the Gutenberg Dataset.
I suggest to my students to organize their texts (e.g. from interviews) into separate text files in a sub-directory before loading them into R. So I would really like to find something around the following boilerplate in the book.
I think that a brief section on this little topic would make a great addition to chapter 1. It would offer readers with beginner's knowledge of working with self-generated unstructured data in R a nice way to put the concepts into practice.