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Reshaping Data with tidyr
4.8(462)24k studentsINTERMEDIATEEnglish
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Course Overview
The Reshaping Data with tidyr course teaches you how to sanitize messy R datasets into clean, standardized formats. As part of the Tidyverse, tidyr equips you with tools to handle pivot transformations, unnest JSON structures, and systematically address missing data.
Who Is This Course For?
Aimed at intermediate R developers and data analysts who want to streamline data cleaning prior to statistical modeling or visualization.
Key Takeaways
- Pivot implicit values stored in column headers down into data rows.
- Convert raw JSON structures into tabular data frames.
- Handle missing values reliably across complex data frames.
- Build clean datasets on historical topics like Soviet space dogs and New Zealand birds.
About this course
Data in the wild can be scary—when confronted with a complicated and messy dataset you may find yourself wondering, where do I even start? The tidyr package allows you to wrangle such beasts into nice and tidy datasets. Inaccessible values stored in column names will be put into rows, JSON files will become data frames, and missing values will never go missing again. You'll practice these techniques on a wide range of messy datasets, learning along the way how many dogs the Soviet Union sent into space and what bird is most popular in New Zealand. With the tidyr package in your tidyverse toolkit, you'll be able to transform almost any dataset in a tidy format which will pay-off during the rest of your analysis.
Price
Free
This course is free to enrol.
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