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Course content
Sections:
1
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Activities:
0
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Resources:
48
- 001 Getting started in the R tidyverse ldFc gitir
- 002 How to use the exercise files exNP gitir
- 003 What is the tidyverse 8XD9 gitir
- 004 Installing loading and working with the tidyverse packages RKJT gitir
- 005 Introducing data frame and tibbles mBY7 gitir
- 006 What are and for in the tidyverse giij gitir
- 007 Using the pipe in your code d4D3 gitir
- 008 Using the pipe in your code SSBt gitir
- 009 Datasets built into the tidyverse packages ADqR gitir
- 010 Using the select function to obtain columns from data iqXC gitir
- 011 Using the filter function to filter data by conditions hfJo gitir
- 012 Using the mutate function to modify and add columns xy6f gitir
- 013 Challenge Rewrite this code to use the pipe of your choice 8bGB gitir
- 014 Solution Rewrite this code to use the pipe of your choice zKbD gitir
- 015 What is tidy data Q1qa gitir
- 016 Why does ggplot2 want tidy data WGn7 gitir
- 017 Using pivot longer to tidy data into a long format fnOg gitir
- 018 Cleaning column names with the janitor package uIdU gitir
- 019 Tidying columns containing multiple values with separate WS9b gitir
- 020 List columns and nested tibbles wyLP gitir
- 021 Using projects to simplify file paths bti6 gitir
- 022 Using read csv to read CSV files KzVj gitir
- 023 Using read excel to read data from Excel files WoGv gitir
- 024 Using haven to import from SPSS and other formats swd8 gitir
- 025 Grouping and summarizing data by column or row JnMH gitir
- 026 Cross tabulations with count Tdxi gitir
- 027 Column wise groups group by and mutate I8dY gitir
- 028 Column wise groups group by and summarize nwgJ gitir
- 029 Column wise groups group by and reframe AQUD gitir
- 030 Column wise groups Using the by argument instead of group by HOZI gitir
- 031 Row wise groups rowwise and c across illy gitir
- 032 Remember to ungroup 0Vul gitir
- 033 Challenge Find maximum penguin dimension by island UU5O gitir
- 034 Solution Find maximum penguin dimension by island ISiY gitir
- 035 ggplot2 for beautiful data storytelling KGWs gitir
- 036 stringr for friendly string manipulation e4vh gitir
- 037 lubridate for manipulating dates and times NB84 gitir
- 038 forcats for manipulating factors EPqi gitir
- 039 purrr for doing many things like iteration 7Zra gitir
- 040 Handling NAs in the tidyverse with drop na and replace na 4AvV gitir
- 041 Use case when instead of nested if or ifelse wghm gitir
- 042 Use tidy select functions to work with many columns at once TFv6 gitir
- 043 Using across in mutate to modify multiple columns at once z4HD gitir
- 044 Filtering many columns at once with if any and if all 5BYg gitir
- 045 Understanding how the tidyverse evolves and deprecates uIkz gitir
- 046 Challenge Find all love songs remaining below position 80 in the top 10 Rtwt gitir
- 047 Solution Find all love songs remaining below position 80 in the top 10 Jnc2 gitir
- 048 Next steps KlXV gitir