In this chapter we discuss common data management tasks beginning with combining DataFrames. Other tasks discussed include sorting, finding duplicate values, drawing samples, and transposing. Every analysis task requires data to be organized into a specific form before the data is used to render meaningful results. Data often comes from multiple sources with a range of different formats. This requires you to logically relate and organize data to fit the analysis task. In fact, most of the effort for any data analysis is “wrangling” ...
© Randy Betancourt, Sarah Chen 2019
R. Betancourt, S. ChenPython for SAS Usershttps://doi.org/10.1007/978-1-4842-5001-3_55. Data Management
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