A year ago I already wrote an article how to iterate over the rows of a data.frame.
Now I’ve run into another special case. Last year we used pmap_dfr() to pass
each element of a row as single parameter to our custom function.
But what should you do if your function accepts a data.frame (or list) as one single parameter?
When working with data which is a result of json-data converted to a list of lists of lists of lists … (you know what mean ;-)) I often want to convert it a data.frame.
Unfortunately there’s often a list in the source data which is unnamed.
Or the list in one row is longer than the one in another row. So converting it
straight forward into a data.frame or tibble fails with the error message
Tibble columns must have compatible sizes.
So what to do? Just leave lists as values in the cells of the data.frame.
Snowflake is a well known cloud-based database. It’s used for Data Warehouses and other big data applications.
In this article and the following ones I want to show how to setup and access a snowflake database from various clients such as R, Tableau and PowerBI.
So let’s start using R.
The “grammar of tables” is used to build tables with the R-package gt. Thomas Mock published an extension package called gtExtras which is used all over in tweets about NFL and Fantasy Football such as win and loss history information in a table.
gt follows a similar philosophy such as ggplot2. On the one hand there is the data
to be shown (in a table resp. a plot). On the other hand there is the description
how to visualize the data: What is the table header, are there subheaders, how
are the cells grouped and formated?
So it was time to check out gt. During my tryouts I came across one demand
I haven’t found an in-built solution for: I wanted to format a column with respect
to the value of another column. Here’s the way I solved it: