Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data.阅读更多.
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Wrangling Data in the Tidyverse 中涵盖的技术和工具与 商业分析师 招聘广告中的要求最为相似。
Wrangling Data in the Tidyverse is a part of 二 structured learning paths.
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