minor wording chapter 2

[trevorcampbell]

Notice anything? They look the same! The same number of columns/rows and column names! So we needed to use different tools for the job depending on the file format and our resulting table (canlang_data) in both cases was the same!

This is a bit awkward -- as we are working through the python book, I rephrased this:

Notice anything? They look the same; they have the same number of columns and rows, and have the same column names! So even though we needed to use different arguments depending on the file format, our resulting data frame (canlang_data) in both cases was the same.

[trevorcampbell]

Section 2.4.1 is called

read_csv to read in comma-separated files

it should be

read_csv to read in comma-separated value files

or something like that

Same issue with 2.4.3

[trevorcampbell]

"To read in this type of data, we can use the read_tsv to read in .tsv (tab separated values) files."

To read in blah, we can use read_tsv to read in blah

awk repetition

[trevorcampbell]

Here, we provide the URL to read_* as the path to the file instead of a path to a local file on our computer

should be

path to a remote file instead of...

this sentence is awkward as well, maybe rewrite

[trevorcampbell]

You can preview files in a plain text editor by right-clicking on the file, selecting “Open With,” and choosing a plain text editor (e.g., Notepad).

weird OS-specific instruction here. remove

[trevorcampbell]

add rename to learning objectives?

[trevorcampbell]

at the end:

mands can currently be translated with SQLite databases. For example, we can compute a mean with an SQLite database but can’t easily compute a median. So you might be wondering: why should we use databases at all?

We should rewrite this to refer to general DBs, not just sqlite