November 2017
Beginner to intermediate
204 pages
5h 23m
English
Content preview from Practical Data Wrangling
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Simplifying Data Manipulation with dplyr
Both R and pandas go a step further to make data manipulation a bit more expressive than most programming languages. For example, many iterative tasks that would otherwise require a for loop (such as selecting a column) can be done using a single line of code.
However, there are still aspects of data manipulation that could be expressed a bit more directly. Recall that in previous chapter, a number of processing steps and variables were used to filter the data and find the result. It can be hard to express a large number of data manipulation operations in a way that is descriptive and contained.
Ideally, it should be possible to express each of the steps for processing data in one sequence of code, ...
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