tidyr: R Package for Data Reshaping and Cleaning

tidyr is an R package authored by Hadley Wickham for creating tidy data. It provides tools for reshaping data through pivoting, adjusting data hierarchy via nesting and unnesting, converting nested lists into data frames, and extracting values from strings. The package also includes utilities for handling both implicit and explicit missing values.

Use Cases

• Convert data from wide to long format and vice versa based on pivoting functions.
• Flatten nested list structures into rectangular tables based on rectangling tools.
• Clean and separate values embedded within string columns based on extraction functions.
• Manage and standardize missing value representations based on missing value tools.

Strengths

• Authored by Hadley Wickham, a prominent figure in R and data science.
• Implements the established tidy data principles for consistent data structure.
• Provides a focused suite of functions for common data reshaping tasks.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, column details, and file formats are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to paperswithcode, which focuses on academic code resources.

Provenance

Source

Hadley Wickham

Collection Method

Software package development for data manipulation.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

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