Our publisher, Manning, is running a Memorial Day sale this weekend (May 24-27, 2019), with a new offer every day.
Fri: Half off all eBooks
Sat: Half off all MEAPs
Sun: Half off all pBooks and liveVideos
Mon: Half off everything
The discount code is:
Many great opportunities to get Practical Data Science with R 2nd Edition at a discount!!!
We have just released two new free video lectures on vectors from a programmer’s point of view. I am experimenting with what ideas do programmers find interesting about vectors, what concepts do they consider safe starting points, and how to condense and present the material.
Please check the lectures out.
In this note we share a quick study timing how long it takes to perform some simple data manipulation tasks with
We are interested in the time needed to select a column, alter a column, or select a row. Knowing what is fast and what is slow is critical in planning code, so here we examine some common simple cases. It is often impractical to port large applications between different work-paradigms, so we use porting small tasks as approximate stand-ins for measuring porting whole systems.
We tend to work with medium size data (hundreds of columns and millions of rows in memory), so that is the scale we simulate and study.
Continue reading Timing Working With a Row or a Column from a data.frame
I would like to write a bit on the meaning and history of the phrase “tidy data.”
Continue reading What is “Tidy Data”?