Using dplyr group_by and summarize

How to Calculate Population Weights by Country Using dplyr in RПодробнее

Grouping Data in R: Using dplyr to Sum Returns by Fiscal YearПодробнее

How to Use dplyr for Conditional Summarization in RПодробнее

How to Merge Data Frames and Divide Rows by Group in R using dplyrПодробнее

Grouping and Summarizing Address Data in dplyrПодробнее

Summarizing Data by Group in R: Calculate Mean, SD, and CV EasilyПодробнее

How to Group By Nested Intervals in R Using dplyrПодробнее

Unlocking dplyr: Displaying the City with the Largest Jobs Sum by SectorПодробнее

Adding Grouped Means, Frequencies, and Proportions to DataFrames in R Using dplyrПодробнее

Mastering R Dataframe Manipulation: Grouping and Summarizing Your DataПодробнее

Solve the tapply Issue in R: Grouping and Summarizing with Multiple ColumnsПодробнее

How to Summarize Data from Two Different Rows in R with dplyrПодробнее

Creating a Dynamic Summary Table in R with DplyrПодробнее

Handling Missing Levels in Data Summaries with dplyrПодробнее

How to Easily Get Counts of Grouped Variables in R Using dplyrПодробнее

Using the paste Command with dplyr in RПодробнее

Combining Categorical Row Values to a Single Value in R with dplyr and aggregateПодробнее

Allowing Optional Summary Computations in dplyr::summarise() with Custom WrappersПодробнее

Grouping Values below a Threshold into Other in R: A Guide using dplyrПодробнее

Summarizing Monetary Transactions by Group in R: A Guide to Duplicated Pair InsightsПодробнее