Improve word cloud colors
So far, you have specified only a single hexadecimal color to make your word clouds. You can easily improve the appearance of a word cloud. Instead of the #AD1DA5 in the code below, you can specify a vector of colors to make certain words stand out or to fit an existing color scheme.
wordcloud(chardonnay_freqs$term,
chardonnay_freqs$num,
max.words = 100,
colors = "#AD1DA5")
To change the colors argument of the wordcloud() function, you can use a vector of named colors like c("chartreuse", "cornflowerblue", "darkorange"). The function colors() will list all 657 named colors. You can also use this PDF as a reference.
In this exercise you will use "grey80", "darkgoldenrod1", and "tomato" as colors. This is a good starting palette to highlight terms because "tomato" stands out more than "grey80". It is a best practice to start with three colors, each with increasing vibrancy. Doing so will naturally divide the term frequency into "low", "medium", and "high" for easier viewing.
This is a part of the course
“Text Mining with Bag-of-Words in R”
Exercise instructions
- Call the
colors()function to list all basic colors. - Create a
wordcloud()using the predefinedchardonnay_freqswith the colors "grey80", "darkgoldenrod1", and "tomato". Include the top 100 terms usingmax.words.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Print the list of colors
___
# Print the word cloud with the specified colors
___(___, ___,
___,
___)This exercise is part of the course
Text Mining with Bag-of-Words in R
Learn the bag of words technique for text mining with R.
This chapter will teach you how to visualize text data in a way that's both informative and engaging.
Exercise 1: Common text mining visualsExercise 2: Test your understanding of text miningExercise 3: Frequent terms with tmExercise 4: Frequent terms with qdapExercise 5: Intro to word cloudsExercise 6: A simple word cloudExercise 7: Stop words and word cloudsExercise 8: Plot the better word cloudExercise 9: Improve word cloud colorsExercise 10: Use prebuilt color palettesExercise 11: Other word clouds and word networksExercise 12: Find common wordsExercise 13: Visualize common wordsExercise 14: Visualize dissimilar wordsExercise 15: Polarized tag cloudExercise 16: Visualize word networksExercise 17: Teaser: simple word clusteringWhat is DataCamp?
Learn the data skills you need online at your own pace—from non-coding essentials to data science and machine learning.