Data Wrangling using tidyr & dplyr

Learning Objectives:

• Understand the purpose and benefits of the Tidyverse package, including its key packages (tidyr and dplyr).

• Apply tidyr functions to import and clean data, including handling missing values, reshaping data, and separating/combining columns.

• Analyze data using dplyr functions, including filtering, selecting, grouping, summarizing, and arranging data.

• Evaluate the effectiveness of data manipulation techniques and make informed decisions about data cleaning and transformation.

Materials: https://datasci.danforthcenter.org/workshops/tidyr-dplyr-Workshop.zip