How to use FILTER and SLICE functions of dplyr package of R?

The filter() function in the dplyr package is used to select rows of a data frame based on a logical condition. This is useful for selecting a subset of a data set for further analysis or visualization. The slice() function is similar to filter(), but it allows you to select rows based on their position in the data frame, rather than a logical condition.

Both filter() and slice() can be useful when you want to focus on a specific subset of a data set for analysis or visualization. For example, you might want to filter a data set to include only observations that meet certain criteria, such as a particular value of a categorical variable or a range of values for a continuous variable. Or you might want to slice a data set to include only the first or last few rows, or a specific group of rows in the middle of the data set.

In general, learning how to use the filter() and slice() functions is important for anyone who wants to work with data in R, as they are useful tools for selecting specific subsets of data and narrowing your focus to the specific questions you are trying to answer.

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