word-cloud

Using the wordcloud package in R I would like to color different words according to a categorical variable in the dataset. Say my data is as follows: name weight group 1 Aba 10 x 2 Bcd 20 y 3 Cde 30 z 4 Def 5 x And here as a dput : dat <- structure(list(name = c("Aba", "Bcd", "Cde", "Def"), weight = c(10, 20, 30, 5), group= c("x", "y", "z", "x")), .Names = c("name", "weight", "group"), row.names = c(NA, -4L), class = "data.frame") Is there a way in wordcloud() to color the names by their group (x, y, z) or should I use different software/packages? It will automatically choose from a color list

js and trying to do word cloud base on the sample code from [here]: https://github.com/jasondavies/d3-cloud . What i trying to do is the font size of the words is base on the frequency of the words in array. For example i have [a,a,a,b,b] so the word 'a' will be larger than 'b' but the problem is when the width or height of the word is larger than the < svg > the word will be gone. layout = d3.layout.cloud().size([w, h]) .words(frequency_list) .padding(5) .rotate(function() { return ~~(Math.random() * 2) * 90; }) .font(d3.select("#font").property("value")) .fontSize(function(d) { return (d

I have a code on ipython notebook where I am attempting to make a wordcloud, but I get an error. From what I could see, the error is related to something else and not my code (something with fonts?) --------------------------------------------------------------------------- IOError Traceback (most recent call last) <ipython-input-71-795b92e06f22> in <module>() 4 # print x[0], x[1] 5 ----> 6 genWordCloud(list_of_tuples) <ipython-input-70-55c34fb2c915> in genWordCloud(filename) 15 count = filename 16 #words = myWC.fit_words(count, width=500, height=500) ---> 17 words = myWC.fit_words(count) 18

I have a 1,500-row vector created from a Twitter search using the XML package. I have then converted it to a Corpus to be used with the tm package. I want to ultimately create a wordcloud with some (the most frequent) of those words, so I converted it to a TermDocumentMatrix to be able to find terms with a minimum frequency. I create the object "a", which is a list of those terms. a <- findFreqTerms(mydata.dtm, 10) The wordcloud package does not work on document matrices. So now, I want to filter the original vector to include only the words included in the "a" object (If I use the object

I currently use wordle for many artsy uses of the word cloud. I think that R's word cloud, potentially, has better control. 1) How do you keep a word capitalized in the word cloud? [SOLVED] 2) How do keep two words as one chunk in the wordcloud? (wordle uses the ~ operator to accomplish this, R's word cloud merely prints the ~ as is) [For instance where there's a ~ between "to" and "be" I'd like a space in the word cloud] require(wordcloud) y<-c("the", "the", "the", "tree", "tree", "tree", "tree", "tree", "tree", "tree", "tree", "tree", "tree", "Wants", "Wants", "Wants", "Wants", "Wants",

I use the wordcloud2 package to render word clouds. It seems that wordcloud2 does not always display the most frequent words. I said "not always" because the problem is not permanent. It seems that the results are mostly random. Code : library(wordcloud2) library(htmlwidgets) DataCloud <- as.character(DataTextAnalysis[,1]) DataCloud <- as.data.frame(table(DataCloud)) DataCloud <- DataCloud[order(DataCloud$Freq, decreasing = TRUE),] DataCloud <- DataCloud[1:10, ] wordcloud2(data = DataCloud) Data : structure(list(`Theme 1` = structure(c(12L, NA, 2L, 4L, 6L, 7L, NA, 14L, 6L, 6L, 2L, 7L, 5L, 2L,