Datasets in R: Selecting, Filtering, Ordering, & Grouping Data
R Programming 4.0+
| Intermediate
- 12 Videos | 1h 34m 30s
- Includes Assessment
- Earns a Badge
Data analysis often requires performing a series of complex transformations. R makes this hassle-free via the forward pipe operator for chaining operations, data selection and filtering based on conditional operations, and grouping and aggregating options to compute summaries. Learn how to carry out all these operations in this course. Task you'll carry out include using logical and relational operators to perform conditional filtering, sampling records at random, and computing the top N records based on values in a variable. You'll also learn to use the forward pipe operator in the magrittr package and tibbles, the next-generation data frame, to store and transform your data. You'll round this course off by performing ordering, grouping, and aggregations on your data. When you're finished, you'll have a solid grasp of complex operations on data frames and be able to apply these concepts using the R programming language.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courseedit data frame columns to be of the right data typeselect variables from data framesfilter data using relational operatorsuse the select() function and chaining to filter data in tibblesuse the %>% operator and the filter() function to filter tibbles
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sample rows using sample() and select top N rows using top_n()change columns to be of their logically correct data typeuse the order() and arrange() functions to sort data framescreate crosstabs and view the aggregate statistics of data framesview aggregate statistics of tibbles with summarize() and group_by()summarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview2m 5sUP NEXT
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2.Formatting Columns to Have the Right Data Type7m 6s
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3.Selecting Specific Rows and Columns6m 22s
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4.Filtering Operations on Data Frame Rows10m 49s
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5.Selecting and Filtering Using Packages in tidyverse10m 27s
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6.Using the dplyr filter() Function8m 19s
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7.Retrieving Samples and Top N Results7m 17s
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8.Specifying the Correct Data Types for Columns7m 17s
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9.Sorting Using Order and Arrange9m 21s
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10.Grouping and Aggregations on Data Frames12m 8s
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11.Grouping and Aggregation Using dplyr11m 21s
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12.Course Summary1m 59s
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