Information
Data isn't always in the format most conducive to analysis. The tidyr package steps in to help reshape your data into a tidy, organized format. Tidy data is structured in a way that each variable forms a column, each observation forms a row, and each type of observational unit forms a table. This structured format simplifies data analysis and visualization. With tidyr, you can perform operations such as gathering columns into key-value pairs and spreading them back into separate columns.
By the end of this module, you will have acquired the skills to efficiently import, manipulate, and transform data using R. Data import and manipulation are the initial building blocks of data analysis, and these skills are essential for preparing your data for deeper exploration and analysis. As you proceed in your journey of data analysis with R, you will find these capabilities invaluable for ensuring the quality and suitability of your data for your research or analysis objectives.
