How do I set up r environment and install dplyr?

# Install R and RStudio 1. Download and install R from [CRAN](https://cran.r-project.org/). 2. Install RStudio from [Posit](https://posit.co/download/rstudio-desktop/). # Install dplyr ```r install.packages("tidyverse") ``` # Load and test ```r library(dplyr) starwars |> glimpse() ``` This uses the built-in `starwars` dataset to verify installation.

How do I understand core single-table verbs?

**Key verbs from official vignette:** - **filter()**: Subset rows ```r starwars |> filter(species == "Human") ``` - **select()**: Choose columns ```r starwars |> select(name, height, mass) ``` - **arrange()**: Sort rows ```r starwars |> arrange(desc(height)) ``` Read full intro: https://dplyr.tidyverse.org/articles/dplyr.html

How do I practice mutate, relocate, and slice?

**Add/modify columns with mutate():** ```r starwars |> mutate( height_m = height / 100, bmi = mass / height_m^2 ) ``` **Reorder with relocate():** ```r starwars |> relocate(species, .before = name) ``` **Slice by position:** ```r starwars |> slice_max(mass, n = 3) ``` Experiment in RStudio console.

How do I master grouping and summarising with pipes?

**Pipe chains:** Use `|>` to combine verbs. **Group and summarise:** ```r starwars |> group_by(species) |> summarise( avg_height = mean(height, na.rm = TRUE), n = n() ) |> arrange(desc(avg_height)) ``` Pipes make code readable. Practice on `flights` from nycflights13 package.

How do I apply joins and build a data project?

**Two-table verbs:** ```r # Install if needed: install.packages("nycflights13") library(nycflights13) flights |> left_join(airlines, by = "carrier") ``` **Mini-project:** Load flights, filter delays >60min, group by carrier, summarise avg delay, join airlines, save as CSV. ```r result |> write_csv("delays_summary.csv") ``` Explore vignette: https://dplyr.tidyverse.org/articles/two-table.html

Master dplyr: Efficient R Data Manipulation in 5 Steps

🧰

Instant Toolkit

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📋
Step-by-Step Guide

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Install R and RStudio

Download and install R from CRAN.
Install RStudio from Posit.

Install dplyr

install.packages("tidyverse")

Load and test

library(dplyr)
starwars |> glimpse()

This uses the built-in starwars dataset to verify installation.

Why this step matters:

-Establishes a reproducible workspace for all dplyr practice
-Enables immediate hands-on exploration of real data

30-60 minutes

R (version ≥4.1), RStudio, CRAN repository

$0

Definition of Done

•R and RStudio installed and running
•dplyr loaded without errors
•starwars dataset displays correctly

Common Mistakes to Avoid

❌ Installing tidyverse but forgetting library(dplyr)

→Run library(tidyverse) or library(dplyr) in every session

❌ Using outdated R version (<4.1)

→Update R via cran.r-project.org

2

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🎥
Suggested Videos

dplyr intro | Data manipulation in R

Dplyr Essentials (easy data manipulation in R)

Hands-on dplyr tutorial for faster data manipulation in R

📚
Learning Resources

📖 Online Courses

Data Manipulation with dplyr

beginner

Paid

DataCamp

Learn dplyr

beginner

Paid

Codecademy

Data Science: R Basics

beginner

Harvard edX

📖 Recommended Books

R for Data Science (2e)

beginner

by Hadley Wickham et al.

🌐 Helpful Websites

dplyr Official Documentation

documentation

Vignettes, reference, and installation guide

Data Transformation Chapter (R4DS)

documentation

In-depth tutorial with flights dataset examples

dplyr Cheat Sheet

cheatsheet

Printable reference for all verbs

🛠️ Useful Tools

RStudio

IDE

Integrated IDE for R with console, editor, and plots

dplyr (v1.2.0)

Package

Grammar of data manipulation

Master dplyr: Efficient R Data Manipulation in 5 Steps