Which package is used for data manipulation in R?
Which package is used for data manipulation in R?
dplyr package
The dplyr package consists of many functions specifically used for data manipulation. These functions process data faster than Base R functions and are known the best for data exploration and transformation, as well.
How do you manipulate data in R?
Main data manipulation functions
- filter() : Pick rows (observations/samples) based on their values.
- distinct() : Remove duplicate rows.
- arrange() : Reorder the rows.
- select() : Select columns (variables) by their names.
- rename() : Rename columns.
- mutate() and transmutate() : Add/create new variables.
Is R good for data manipulation?
R is an open source programming language that’s optimized for statistical analysis and data visualization. Developed in 1992, R has a rich ecosystem with complex data models and elegant tools for data reporting.
Which are the following packages used for data visualization in R *?
My favorite R packages for data visualization and munging
| Package | Category | Author |
|---|---|---|
| officeR | data display | David Gohel |
| listviewer | data display, data wrangling | Kent Russell |
| DT and reactable | data display | DT: RStudio reactable: Gregg Lin |
| ggplot2 | data visualization | Hadley Wickham |
What is a package date?
(also “pack date”) the date of manufacturing, processing or final packing. This is the date the product was packaged. Pack date is generally not intended for consumers but rather is used by manufacturers and retailers to track inventory, rotate items and locate items in case of recall.
How does R store dates?
Date objects in R Date objects are stored in R as integer values, allowing for dates to be compared and manipulated as you would a numeric vector. Logical comparisons are a simple. When referring to dates, earlier dates are “less than” later dates.