
How to Make Word Clouds in R
Word clouds are fun data visualizations that give a sense of the words and word frequencies in text data, by scaling word size according to word frequency. Word clouds are mostly just for fun and generating visual interest as precise comparisons between frequencies are easier with things like bar plots and data tables.
Code used in this code clip:
# Load libraries
library(wordcloud)
library(RColorBrewer)
# Text data for word cloud
words <- c("R ", "Python", "Data Science", "Machine Learning", "Data",
"Daft", "Visualization", "Plot", "Tutorial", "Keywords", "Fun",
"Color", "ggplot2", "YouTube", "Channel", "Subscribe", "Text",
"NLP", "Deep Learning", "Predictive Modeling", "Analytics",
"Learn", "Video", "Teach", "Help", "Interesting", "Word", "Cloud",
"Histogram", "Scatterplot", "Bar Plot", "Density", "Pie Chart")
# Word frequencies
freqs <- c(100, 70, 90, 50, 80, 20, 30, 30, 20,
10, 70, 40, 20, 15, 15, 25, 5, 5,
15, 25, 35, 50, 30, 20, 30, 50,
20, 20, 15, 25, 25, 5, 10)
set.seed(3)
wordcloud(words = words,
freq = freqs,
max.words = 100,
colors = brewer.pal(8,"Dark2"))
Code Clips are basic code explanations in 3 minutes or less. They are intended to be short reference guides that provide quick breakdowns and copy/paste access to code needed to accomplish common data science tasks. Think Stack Overflow with a video explanation.
* Note: YouTube does not allow greater than or less than symbols in the text description, so the code above may not be exactly the same as the code shown in the video! For R that means I may use = for assignment and the special Unicode large < and > symbols in place of the standard sized ones for dplyr pipes and comparisons. These special symbols should work as expected for R code on Windows, but may need to be replaced with standard greater than and less than symbols for other operating systems.
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