Thread by @rappa753

Data cleaning is tedious.

But it's much easier with the {janitor} package. Especially if you work with Excel files.

Here are 5 underrated features from {janitor}. #rstats

1 // Create clean names

This is absolutely the best function. It transforms column names such that they are easier to use for programming.

Left: Bad for programming
Right: Good for programming

2 // Remove empty or constant cells from Excel files

Excel files can be messy to read in R. Lots of weird column names and empty cells.

{janitor} takes care of that for us.

3 // Convert stupid Excel dates

Our lovely {janitor} can even convert those pesky Excel dates to something we can work with.

Check out how the hire_date column from our previous output is transformed to actual dates.

4 // Rounding

R does not always round up numbers that end with .5

R uses Banker's rounding 🤦 🤯

Instead of implementing the rounding yourself, just use {janitor} functions.

5 // Find duplicates

Sometimes you need to find duplicate observations based on a set of characteristics.

In that case, get_dupes() is your friend.

That was our short list. I hope you'll give {janitor} a try now.

All code examples can be found in my blog at albert-rapp.de/posts/07_janit…

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And for more content like this, follow @rappa753. See you next time 👋

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