Data Wrangling with R Load, explore, transform and visualize data for modeling with tidyverse libraries
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English | 2023 | ISBN: 1803235403 | 384 Pages | PDF EPUB (True) | 25 MB
In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you'll need plenty of tools that enable you to extract the most useful knowledge from data.
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