Description Usage Arguments Examples
Sequences sunburst diagrams provide an interactive method of exploring sequence data, such as website navigation paths.
1 2 3 4 5 6 | sunburst(data = NULL, legendOrder = NULL, colors = NULL,
valueField = "size", percent = TRUE, count = FALSE,
explanation = NULL, breadcrumb = list(), legend = list(),
sortFunction = NULL, sumNodes = TRUE, withD3 = FALSE, width = NULL,
height = NULL, elementId = NULL, sizingPolicy = NULL, csvdata = NULL,
jsondata = NULL)
|
data |
data in csv source,target form or in
nested d3 JSON hierarchy with 'name:..., children:[];'. |
legendOrder |
string vector if you would like to manually order the legend. If legendOrder is not provided, then the legend will be in the descending order of the top level hierarchy. |
colors |
|
valueField |
|
percent |
|
count |
|
explanation |
JavaScript function to define a custom explanation for the center
of the sunburst. Note, this will override |
breadcrumb |
|
legend |
|
sortFunction |
|
sumNodes |
|
withD3 |
|
height, width |
height and width of sunburst htmlwidget containing div
specified in any valid |
elementId |
string id as a valid |
sizingPolicy |
see |
csvdata |
|
jsondata |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 | library(sunburstR)
# read in sample visit-sequences.csv data provided in source
# only use first 100 rows to speed package build and check
# https://gist.github.com/kerryrodden/7090426#file-visit-sequences-csv
sequences <- read.csv(
system.file("examples/visit-sequences.csv",package="sunburstR")
,header = FALSE
,stringsAsFactors = FALSE
)[1:100,]
sunburst(sequences)
## Not run:
# explore some of the arguments
sunburst(
sequences
,count = TRUE
)
sunburst(
sequences
# apply sort order to the legends
,legendOrder = unique(unlist(strsplit(sequences[,1],"-")))
# just provide the name in the explanation in the center
,explanation = "function(d){return d.data.name}"
)
# try with json data
sequence_json <- jsonlite::fromJSON(
system.file("examples/visit-sequences.json",package="sunburstR"),
simplifyDataFrame = FALSE
)
sunburst(sequence_json)
# try with csv data from this fork
# https://gist.github.com/mkajava/7515402
# great use for new breadbrumb wrapping
sunburst(
csvdata = read.csv(
file = paste0(
"https://gist.githubusercontent.com/mkajava/",
"7515402/raw/9f80d28094dc9dfed7090f8fb3376ef1539f4fd2/",
"comment-sequences.csv"
)
,header = TRUE
,stringsAsFactors = FALSE
)
)
# try with csv data from this fork
# https://gist.github.com/rileycrane/92a2c36eb932b4f99e51/
sunburst( csvdata = read.csv(
file = paste0(
"https://gist.githubusercontent.com/rileycrane/",
"92a2c36eb932b4f99e51/raw/",
"a0212b4ca8043af47ec82369aa5f023530279aa3/visit-sequences.csv"
)
,header=FALSE
,stringsAsFactors = FALSE
))
## End(Not run)
## Not run:
# use sunburst to analyze ngram data from Peter Norvig
# http://norvig.com/mayzner.html
library(sunburstR)
library(pipeR)
# read the csv data downloaded from the Google Fusion Table linked in the article
ngrams2 <- read.csv(
system.file(
"examples/ngrams2.csv"
,package="sunburstR"
)
, stringsAsFactors = FALSE
)
ngrams2 %>>%
# let's look at ngrams at the start of a word, so columns 1 and 3
(.[,c(1,3)]) %>>%
# split the ngrams into a sequence by splitting each letter and adding -
(
data.frame(
sequence = strsplit(.[,1],"") %>>%
lapply( function(ng){ paste0(ng,collapse = "-") } ) %>>%
unlist
,freq = .[,2]
,stringsAsFactors = FALSE
)
) %>>%
sunburst
library(htmltools)
ngrams2 %>>%
(
lapply(
seq.int(3,ncol(.))
,function(letpos){
(.[,c(1,letpos)]) %>>%
# split the ngrams into a sequence by splitting each letter and adding -
(
data.frame(
sequence = strsplit(.[,1],"") %>>%
lapply( function(ng){ paste0(ng,collapse = "-") } ) %>>%
unlist
,freq = .[,2]
,stringsAsFactors = FALSE
)
) %>>%
( tags$div(style="float:left;",sunburst( ., height = 300, width = 300 )) )
}
)
) %>>%
tagList %>>%
browsable
## End(Not run)
## Not run:
library(treemap)
library(sunburstR)
library(d3r)
# use example from ?treemap::treemap
data(GNI2014)
tm <- treemap(GNI2014,
index=c("continent", "iso3"),
vSize="population",
vColor="continent",
type="index")
tm_nest <- d3_nest(
tm$tm[,c("continent", "iso3", "vSize", "color")],
value_cols = c("vSize", "color")
)
sunburst(
data = tm_nest,
valueField = "vSize",
count = TRUE,
# to avoid double counting with pre-summed trees
# use sumNodes = FALSE
sumNodes = FALSE,
colors = htmlwidgets::JS("function(d){return d3.select(this).datum().data.color;}"),
withD3 = TRUE
)
## End(Not run)
# calendar sunburst example
library(sunburstR)
df <- data.frame(
date = seq.Date(
as.Date('2014-01-01'),
as.Date('2016-12-31'),
by = "days"
),
stringsAsFactors = FALSE
)
df$year = format(df$date, "%Y")
df$quarter = paste0("Q", ceiling(as.numeric(format(df$date,"%m"))/3))
df$month = format(df$date, "%b")
df$path = paste(df$year, df$quarter, df$month, sep="-")
df$count = rep(1, nrow(df))
sunburst(
data.frame(xtabs(count~path,df)),
# added a degree of difficulty by providing
# not easily sortable names
sortFunction = htmlwidgets::JS(
"
function(a,b){
abb = {
2014:-7,
2015:-6,
2016:-5,
Q1:-4,
Q2:-3,
Q3:-2,
Q4:-1,
Jan:1,
Feb:2,
Mar:3,
Apr:4,
May:5,
Jun:6,
Jul:7,
Aug:8,
Sep:9,
Oct:10,
Nov:11,
Dec:12
}
return abb[a.data.name] - abb[b.data.name];
}
"
)
)
# sorting example: place data in order of occurence
library(sunburstR)
df <- data.frame(
group = c("foo", "bar", "xyz"),
value = c(1, 3, 2)
)
sunburst(df,
# create a trivial sort function
sortFunction = htmlwidgets::JS('function(x) {return x;}'))
new_order <- c(3,2,1)
sunburst(df[new_order,],
sortFunction = htmlwidgets::JS('function(x) {return x;}'))
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