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Categorical data with R. Using the forcats package to manipulate factor variables.
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Classroom Contents
Mastering the Tidyverse in R - Data Wrangling, Visualization, and Analysis
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- 1 R programming for beginners. Manipulate data using the tidyverse: select, filter and mutate.
- 2 10 data filtering tips using R programming. Use the tidyverse to filter and subset your data.
- 3 Group by and Summarise functions in R programming - use the tidyverse package to wrangle your data
- 4 Explore your data using R programming
- 5 Clean your data with R. R programming for beginners.
- 6 Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variable
- 7 R programming for beginners: Rename variables and reorder columns. Data cleaning and manipulation.
- 8 Categorical data with R. Using the forcats package to manipulate factor variables.
- 9 Manipulate your data. Data wrangling. R programmning for beginners.
- 10 Manipulate and clean your data in R with the dplyr package
- 11 Working with factors and categorical variables. Use forcats in R programming to change factor levels
- 12 R programming for beginners. Here are my favorite R packages
- 13 Lubridate - how to manipulate date and time data in R
- 14 Quarto - replacing R Markdown in R Studio.
- 15 Using R programming to manage categorial variables or factors using the forcats package
- 16 Data visualization with ggplot
- 17 Manipulating text using the stringr package in R programming.
- 18 Themes in ggplot - make you data visualisation stand out!
- 19 Titles and Annotations with ggplot
- 20 Advanced ggplot - using facets
- 21 Ggplot - using geometries
- 22 Ggplot Colors - how to use colors effectively when creating plots with ggplot2
- 23 Ggsave - save your ggplot plots
- 24 Advanced ggplot #2 - create beautiful plots and graphs using R programming.
- 25 Advanced ggplot (episode #1)
- 26 Lollipop Graph using ggplot.
- 27 Error Bars using R programming
- 28 Encircled observations - use ggplot and ggalt to create great plots and data visualization.
- 29 Use pivot_wider() to shape your data. R programming from beginners.
- 30 Describe and Summarise your data
- 31 Using ggplot to create bar charts for 2 categorical variables. R programming for beginners.
- 32 Create a boxplot using R programming with the ggplot package.
- 33 How to draw a line graph using ggplot with R programming. Plots and graphs to visualize data.
- 34 Create a scatter plot using R programming. How to use ggplot for data visualisation.
- 35 Bar charts and Histograms using ggplot in R
- 36 How to use ggplot to create beautiful scatter plots. This is an R programming for beginners video.
- 37 ggplot for plots and graphs. An introduction to data visualization using R programming
- 38 The across( ) function in R programming. A tidyverse function to make cleaning data easy.
- 39 Importing data from excel into R studio
- 40 Advanced ggplot - using ggplot2 and lubridate together for data visualization
- 41 Annotate your plots and graphs with ggplot.
