Learn R Data Manipulation: Generate, Aggregate, & Combine

Learn R Data Manipulation: Generate, Aggregate, & Combine

Key points Aggregating Data in R : The aggregate() function in R allows you to group and summarize data based on specific criteria, making it easy to calculate averages, totals, and other summary statistics for various groups within a dataset. Filtering for Specific Criteria : Using logical conditions, you can filter the data to include only the rows that meet specific criteria . For instance, you can filter the mtcars data set to have only cars with miles per gallon greater than 20, enabling focused analysis. Converting Data Types : Changing data types is crucial for accurate analysis. Functions like as.factor() and as.Date() enables you to convert variables to different types , such as converting numeric values to factors or formatting dates to match a desired format. Combining Data : R provides powerful functions like merge() for combining data from different sources based on common columns. It allows you to consolidate information and perform comprehensive analysis by integrating data frame…