10  What’s dplyr package [EN]

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author: Юрій Клебан

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The dplyr package is one of the most powerful and popular package in R for data manipulation.

Working with data:

• Figure out what you want to do.
• Describe those tasks in the form of a computer program.
• Execute the program.

The dplyr package makes these steps fast and easy:

• By constraining your options, it helps you think about your data manipulation challenges.
• It provides simple verbs, functions that correspond to the most common data manipulation tasks, to help you translate your thoughts into code.
• It uses efficient backends, so you spend less time waiting for the computer.

Before use you should install package:

# install.packages("dplyr")

Next step is loading package:

library(dplyr)

dplyr functions work with pipes and expect tidy data. In tidy data:

Alternative way is to load tidyverse package with other attached:

# install.packages("tidyverse")
library(tidyverse)

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10.1 Refences

1. dplyr: A Grammar of Data Manipulation on https://cran.r-project.org/.
2. Data Transformation with splyr::cheat sheet.
3. DPLYR TUTORIAL : DATA MANIPULATION (50 EXAMPLES) by Deepanshu Bhalla.
4. Dplyr Intro by Stat 545. 6.R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread). Introduction to Data Analysis
5. Loan Default Prediction. Beginners data set for financial analytics Kaggle