A Comprehensive Guide to Data Visualisation in R for ...
2018-9-24 · Often ~80% of data analysis time is spent on data preparation and data cleaning 1. data entry, importing data set to R, assigning factor labels, 2. data screening: checking for errors, outliers, … 3. Fitting models & diagnostics: whoops! Something wrong, go back to step 1 • Whatever you can do to reduce this, gives more time for:
Get Price