10 days of centralized learning is enough for mastering the basic use, basic data structure, data import and export, and simple data visualization. Data analysis report output (R markdown).įrom my point of view, getting started with R is very simple.Statistical modeling (linear regression, logistic regression, tree model, neural network, etc.).Statistical hypothesis testing (t test, analysis of variance, chi-square test, etc.).As far as our general data analysis or academic data analysis work is concerned, the things that R can do mainly include the following aspects. The functions of R cover almost any area where data is needed. Unlike Python, R, and other open source software, there is a charge for the genuine Excel. ![]()
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