Label Data & Summary Operations: Factors, Labels, Grouping & Slicing скачать в хорошем качестве

Label Data & Summary Operations: Factors, Labels, Grouping & Slicing

Master how to work with categorical variables and summary operations in R! In this video you’ll learn to: • Factors & Level Management o Convert variables to factors using as.factor o Define and reorder levels via factor(var, levels=…) o Rename levels with levels(var)=… or forcats functions (fct_recode, fct_relevel) • Variable & Value Labeling o Assign variable labels with label(x) or var_label(x) o Map codes to labels using val_labels(x) o Toggle label visibility with options(val_labels_visible = TRUE or FALSE) • Descriptive Summaries o Generate comprehensive metadata summaries using Hmisc::describe o View counts, proportions and distributions with labeled output • Grouping & Summarising o Aggregate by group using group_by and summarize o Calculate counts, means, sums and weighted summaries o Ungroup to return to original data structure • Sorting, Slicing & Ranking o Sort ascending or descending with arrange and desc o Select top or bottom N rows using slice_max and slice_min o Create custom ranks within groups via mutate(row_number()) The Code and syntax presented via GitHub will show you step-by-step how to implement each technique on real datasets. Code & Resources https://github.com/HabtamuBizuayehu?t... #Rstats #Factors #DataLabeling #Grouping #Summarise #Sorting #Slicing #tidyverse #DataScience