November 2016
Intermediate to advanced
697 pages
14h 44m
English
Content preview from Julia: High Performance ProgrammingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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DataFrames and RDatasets
When dealing with tabulated datasets there are occasions when some of the values are missing. One of the features of statistical languages is that they can handle such situations.
In Julia, the DataFrames package has been developed in order to treat such cases and this is the subject of this chapter.
The DataFrames package
The package extends the Julia base by adding three new types:
NAis introduced in order to represent a missing value. This type only has one particular valueNA.DataArrayis a type that emulates Julia's standardArraytype, but is able to store missing values in the array.DataFrameis a type that is capable of representing tabular datasets such as those found in typical databases or spreadsheets. The concept ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.