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Chapter 3. Filtering and Summarizing Data
After loading data from either flat files or databases (as we have seen in Chapter 1, Hello, Data!), or directly from the web via some APIs (as covered in Chapter 2, Getting Data from the Web), we often have to aggregate, transform, or filter the original dataset before the actual data analysis could take place.
In this chapter, we will focus on how to:
- Filter rows and columns in data frames
- Summarize and aggregate data
- Improve the performance of such tasks with the
dplyranddata.tablepackages besides the base R methods