Data Science
151 learners
Mastering Data Wrangling with tidyr
Gain expertise in reshaping and tidying data using the tidyr package. This course will equip you with the skills to transform data into a tidy format, manage missing values effectively, and pivot data frames seamlessly. By the end of this course, you will be proficient in preparing data for comprehensive analysis, enabling you to handle real-world data challenges with confidence.
R
Tidyverse
5 lessons
25 practices
2 hours
Data Cleaning and Preprocessing
Lessons and practices
Reshape Data with tidyr
Adding More Subjects Data
Fix Data Gathering and Spreading
Fill in the Data Gaps
Master Data Reshaping Techniques
Separate and Combine Columns in R
Change the Separator in Unite
Fix Column Splitting and Combining
Splitting and Combining Superhero Data
Splitting and Combining Superhero Data
Handling Missing Data in R
Replace Missing Values with Medians
Fix Missing Value Handling in R
Handling Missing Values with Median
Fruit Data Cleanup
Nesting and Unnesting Data Frames
Add a Department Column
Fix Nesting Error in Data
Nesting and Unnesting Superhero Stats
Nesting and Unnesting Data
Data Tidying in Action
Change Data Unification
Fix the Data Tidying Process
Tidy Up Musician Data
Write a Tidy Superhero Data Frame
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