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r/2020-02-25-treemap.Rmd

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---
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name: Treemap Charts
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permalink: r/treemaps /
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description: How to make treemap charts in R with Plotly.
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layout: base
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thumbnail: thumbnail/treemap.png
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language: r
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display_as: basic
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order: 16
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output:
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html_document:
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keep_md: true
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---
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```{r, echo = FALSE, message=FALSE}
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knitr::opts_chunk$set(message = FALSE, warning = FALSE)
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```
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[Treemap charts](https://en.wikipedia.org/wiki/Treemapping) visualize hierarchical data using nested rectangles. Same as [Sunburst](https://plot.ly/r/sunburst-charts/) the hierarchy is defined by [labels](https://plot.ly/r/reference/#treemap-labels), and [parents](https://plot.ly/r/reference/#treemap-parents) attributes. Click on one sector to zoom in/out, which also displays a pathbar in the upper-left corner of your treemap. To zoom out you can use the path bar as well.
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### Basic Treemap
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```{r}
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library(plotly)
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fig <- plot_ly(
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type="treemap",
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labels=c("Eve", "Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura"),
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parents=c("", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve")
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)
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fig
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```
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### Set Different Attributes in Treemap
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This example uses the following attributes:
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1. [values](https://plot.ly/r/reference/#treemap-values): sets the values associated with each of the sectors.
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2. [textinfo](https://plot.ly/r/reference/#treemap-textinfo): determines which trace information appear on the graph that can be 'text', 'value', 'current path', 'percent root', 'percent entry', and 'percent parent', or any combination of them.
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3. [pathbar](https://plot.ly/r/reference/#treemap-pathbar): a main extra feature of treemap to display the current path of the visible portion of the hierarchical map. It may also be useful for zooming out of the graph.
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4. [branchvalues](https://plot.ly/r/reference/#treemap-branchvalues): determines how the items in `values` are summed. When set to "total", items in `values` are taken to be value of all its descendants. In the example below Eva = 65, which is equal to 14 + 12 + 10 + 2 + 6 + 6 + 1 + 4.
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When set to "remainder", items in `values` corresponding to the root and the branches sectors are taken to be the extra part not part of the sum of the values at their leaves.
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```{r}
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library(plotly)
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labels = c("Eve", "Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura")
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parents = c("", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve")
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fig <- plot_ly(
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type='treemap',
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labels=labels,
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parents=parents,
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values= c(10, 14, 12, 10, 2, 6, 6, 1, 4),
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textinfo="label+value+percent parent+percent entry+percent root",
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domain=list(column=0))
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fig <- fig %>% add_trace(
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type='treemap',
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branchvalues="total",
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labels=labels,
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parents=parents,
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values=c(65, 14, 12, 10, 2, 6, 6, 1, 4),
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textinfo="label+value+percent parent+percent entry",
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outsidetextfont=list(size=20, color= "darkblue"),
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marker=list(line= list(width=2)),
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pathbar=list(visible= FALSE),
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domain=list(column=1))
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fig <- fig %>% layout(
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grid=list(columns=2, rows=1),
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margin=list(l=0, r=0, b=0, t=0))
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fig
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```
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### Set Color of Treemap Sectors
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There are three different ways to change the color of the sectors in Treemap:
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1. [marker.colors](https://plot.ly/r/reference/#treemap-marker-colors),
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2. [colorway](https://plot.ly/r/reference/#treemap-colorway),
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3. [colorscale](https://plot.ly/r/reference/#treemap-colorscale).
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The following examples show how to use each of them.
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```{r}
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library(plotly)
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labels = c("A1", "A2", "A3", "A4", "A5", "B1", "B2")
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parents = c("", "A1", "A2", "A3", "A4", "", "B1")
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fig <- plot_ly(
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type="treemap",
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labels=labels,
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parents=parents,
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marker=list(colors=c("pink", "royalblue", "lightgray", "purple", "cyan", "lightgray", "lightblue")))
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fig
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```
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This example uses `treemapcolorway` attribute, which should be set in layout.
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```{r}
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library(plotly)
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labels = c("A1", "A2", "A3", "A4", "A5", "B1", "B2")
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parents = c("", "A1", "A2", "A3", "A4", "", "B1")
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fig <- plot_ly(
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type="treemap",
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labels=labels,
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parents=parents)
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fig <- fig %>% layout(treemapcolorway=c("pink","lightgray"))
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fig
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```
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```{r}
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library(plotly)
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labels = c("A1", "A2", "A3", "A4", "A5", "B1", "B2")
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parents = c("", "A1", "A2", "A3", "A4", "", "B1")
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values = c("11", "12", "13", "14", "15", "20", "30")
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fig <- plot_ly(
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type="treemap",
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labels=labels,
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parents=parents,
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values=values,
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marker=list(colorscale='Reds'))
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fig
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```
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### Nested Layers in Treemap
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The following example uses hierarchical data that includes layers and grouping. Treemap and [Sunburst](https://plot.ly/r/sunburst-charts/) charts reveal insights into the data, and the format of your hierarchical data. [maxdepth](https://plot.ly/r/reference/#treemap-maxdepth) attribute sets the number of rendered sectors from the given level.
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```{r}
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library(plotly)
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df1 = read.csv('https://raw.githubusercontent.com/plotly/datasets/718417069ead87650b90472464c7565dc8c2cb1c/sunburst-coffee-flavors-complete.csv')
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df2 = read.csv('https://raw.githubusercontent.com/plotly/datasets/718417069ead87650b90472464c7565dc8c2cb1c/coffee-flavors.csv')
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fig <- plot_ly(
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type='treemap',
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ids=df1$ids,
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labels=df1$labels,
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parents=df1$parents,
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domain=list(column=0))
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fig <- fig %>% add_trace(
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type='treemap',
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ids=df2$ids,
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labels=df2$labels,
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parents=df2$parents,
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maxdepth=3,
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domain=list(column=1))
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fig <- fig %>% layout(grid=list(columns=2, rows=1))
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fig
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```
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### Controlling text fontsize with uniformtext
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If you want all the text labels to have the same size, you can use the `uniformtext` layout parameter. The `minsize` attribute sets the font size, and the `mode` attribute sets what happens for labels which cannot fit with the desired fontsize: either `hide` them or `show` them with overflow.
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```{r}
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library(plotly)
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df = read.csv('https://raw.githubusercontent.com/plotly/datasets/718417069ead87650b90472464c7565dc8c2cb1c/sunburst-coffee-flavors-complete.csv')
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fig <- plot_ly(
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type='treemap',
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ids=df$ids,
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labels=df$labels,
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parents=df$parents)
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fig <- fig %>% layout(uniformtext=list(minsize=10, mode='hide'))
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fig
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```
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#Reference
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See [https://plot.ly/r/reference/#treemap](https://plot.ly/r/reference/#treemap) for more information and chart attribute options!

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