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Describe and Summarise your data
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Classroom Contents
R Programming for Beginners - Complete Guide to Data Analysis and Visualization
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- 1 R programming for beginners - Why you should use R
- 2 How to install R and install R Studio. How to use R studio | R programming for beginners
- 3 How to import data and install packages. R programming for beginners.
- 4 How to import data from excel into R studio. R programming for beginners
- 5 R programming for beginners. Manipulate data using the tidyverse: select, filter and mutate.
- 6 Data types in R programming
- 7 R programming for beginners: Rename variables and reorder columns. Data cleaning and manipulation.
- 8 Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variable
- 9 10 data filtering tips using R programming. Use the tidyverse to filter and subset your data.
- 10 R programming for beginners: using functions and objects in R
- 11 Explore your data using R programming
- 12 Clean your data with R. R programming for beginners.
- 13 Manipulate your data. Data wrangling. R programmning for beginners.
- 14 Describe and Summarise your data
- 15 R programming in one hour - a crash course for beginners
- 16 R programming for ABSOLUTE beginners
- 17 Chi squared test using R programming
- 18 Quarto - tips and tricks
- 19 Handling Missing Data and Missing Values in R Programming | NA Values, Imputation, naniar Package
- 20 Conditional Statements in R: if_else() and case_when() Functions
- 21 Create tables in R with gtExtras (more tips and tricks)
- 22 Manipulate and clean your data in R with the dplyr package
- 23 Tidytuesday data - How to get it into R Studio
- 24 The across( ) function in R programming. A tidyverse function to make cleaning data easy.
- 25 Importing data from excel into R studio
- 26 RStudio for beginners
- 27 Create functions in R
