Learn how to analyze and visualize text data in RStudio using popular packages like tidytext, dplyr, ggplot2, and wordcloud. This tutorial shows how to turn plain text into powerful visuals including word frequency plots and interactive word clouds.
📦 Step 1: Load your dataset and install packages
myanalysis ＜- read.csv("file:///D:/Textual_analysis.csv")
install.packages("tidytext")
install.packages("dplyr")
library(tidytext)
library(dplyr)
🧹 Step 2: Clean and process the text data
myanalysis_wf＜- myanalysis %⋗%
unnest_tokens(word, text) %⋗%
anti_join(stop_words, by = "word") %⋗%
count(word, sort = TRUE)
myanalysis_wf
📊 Step 3: Visualize word frequencies using ggplot2
library(ggplot2)
# Basic point plot
ggplot(myanalysis_wf) + geom_point(aes(word, n))
# Ordered and flipped plot
ggplot(myanalysis_wf) + geom_point(aes(reorder(word, n), n)) + coord_flip() + labs(title = "Words with Frequency", x = "Words", y = "N")
# Top 2 words only
ggplot(myanalysis_wf %⋗% top_n(2)) + geom_point(aes(reorder(word, n), n)) +
coord_flip() + labs(title = "Top 2 Words", x = "Words", y = "N")
☁️ Step 4: Create word clouds
install.packages("wordcloud")
library(wordcloud)
library(tm)
wordcloud(words = myanalysis_wf$word, freq = myanalysis_wf$n, min.freq = 1,
max.words = 50, random.order = FALSE, rot.per = 0.3,
colors = brewer.pal(8, "Dark2"))
install.packages("wordcloud2")
library(wordcloud2)
# Basic word cloud
wordcloud2(data = myanalysis_wf)
# Custom size and shape
wordcloud2(data = myanalysis_wf, size = 0.3, shape = 'circle')
Please note that YouTube does not allow angled brackets in video descriptions. Therefore, I have used the Unicode large ＜ and ⋗ symbol as a replacement.")
🧠 Concepts: Text Mining, Data Cleaning, Word Frequency, Word Cloud, Visualization in R
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#RStudio #ggplot2 #wordcloud #TextAnalysis #tidytext #dplyr #DataScience #RStats #NLP