Learn/R Programming/Data Manipulation

Tidyverse Introduction

Topic: Tidyverse

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Introduction

Tidyverse is a collection of R packages designed for data science. All packages share a common design philosophy and grammar.

Installing Tidyverse

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

Core Tidyverse Packages

PackagePurpose
ggplot2Data visualization
dplyrData manipulation
tidyrData tidying
readrData import
purrrFunctional programming
tibbleTibbles (modern data frames)
stringrString manipulation
forcatsFactor handling

Tibbles

library(tibble)

# Create tibble
df <- tibble(
  x = 1:5,
  y = c("a", "b", "c", "d", "e")
)

# Print behavior
df

# Convert to tibble
as_tibble(df)

Pipes

library(magrittr)

# Using pipes
df %>%
  filter(condition) %>%
  select(columns) %>%
  mutate(new_column = x + y)

Data Transformation

library(dplyr)

# Basic verbs
df %>%
  select(col1, col2) %>%
  filter(row_condition) %>%
  mutate(new_col = calculation) %>%
  group_by(category) %>%
  summarize(mean_value = mean(value))

Summary

Tidyverse provides a consistent framework for data manipulation and visualization in R.

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