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‎ggplot2/2015-08-10-getting-started.Rmd

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---
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# Plotly for R
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Plotly is an R package for creating interactive web-based graphs via [plotly](https://plot.ly/)'s JavaScript graphing library, `plotly.js`.
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Plotly is an R package for creating interactive web-based graphs via [plotly](https://plotly.com/)'s JavaScript graphing library, `plotly.js`.
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The [plotly R package](https://github.com/ropensci/plotly) serializes ggplot2 figures into Plotly's <a target="_blank" href="http://plot.ly/r/reference/">universal graph JSON</a>. `plotly::ggplotly` will crawl the ggplot2 figure, extract and translate all of the attributes of the ggplot2 figure into JSON (the colors, the axes, the chart type, etc), and draw the graph with plotly.js.
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str(fig)
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```
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This declarative description of the graph is very human readable. Every attribute of the chart, the colors, the data, the text, is described in a key-value pair in this object. [View all of the possible graph attributes.](https://plot.ly/r/reference)
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This declarative description of the graph is very human readable. Every attribute of the chart, the colors, the data, the text, is described in a key-value pair in this object. [View all of the possible graph attributes.](https://plotly.com/r/reference)
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Attributes of plotly figures are grouped into two categories: `data` and `layout`. `data` describes attributes that pertain to the plot's series, or "traces". These properties include things like the `x` and `y` data, the `color` and `name` of the trace, which axis the trace is bound to. `data` is an unnamed list.
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str(fig$x$layout$legend)
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```
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Each of these properties was extracted and translated from the original ggplot2 figure. [View all of the possible attributes](https://plot.ly/r/reference).
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Each of these properties was extracted and translated from the original ggplot2 figure. [View all of the possible attributes](https://plotly.com/r/reference).
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You can edit or add these attributes and then send the figure to Plotly. Let's add custom hover text (`text`), change the legend names (`name`) add a title (`layout$title`)
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#### Resources
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- [ggplot2 examples](https://plot.ly/ggplot2)
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- [Plotly's native R DSL](https://plot.ly/r)
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- [Plotly's declarative graph description reference](https://plot.ly/r/reference)
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- [ggplot2 examples](https://plotly.com/ggplot2)
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- [Plotly's native R DSL](https://plotly.com/r)
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- [Plotly's declarative graph description reference](https://plotly.com/r/reference)
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- [`plotly` R package on GitHub](https://github.com/ropensci/plotly)

‎ggplot2/2017-04-21-geom_quantile.Rmd

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### Reference
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See [https://plot.ly/r/reference](https://plot.ly/r/reference) for more information and options!
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See [https://plotly.com/r/reference](https://plotly.com/r/reference) for more information and options!

‎ggplot2/2017-04-21-geom_rug.Rmd

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### Reference
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See [https://plot.ly/r/reference](https://plot.ly/r/reference) for more information and options!
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See [https://plotly.com/r/reference](https://plotly.com/r/reference) for more information and options!

‎ggplot2/2017-04-21-geom_spoke.Rmd

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### Reference
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See [https://plot.ly/r/reference](https://plot.ly/r/reference) for more information and options!
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See [https://plotly.com/r/reference](https://plotly.com/r/reference) for more information and options!

‎ggplot2/2018-06-22-geom_sf.Rmd

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### Using Native Plotly
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Alternatively, you can use [`plot_ly`, `plot_geo`, or `plot_mapbox`](https://plot.ly/r/maps-sf/).
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Alternatively, you can use [`plot_ly`, `plot_geo`, or `plot_mapbox`](https://plotly.com/r/maps-sf/).
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### Reference
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See [https://plot.ly/r/reference/](https://plot.ly/r/reference/) for more information and chart attribute options! If you would like to read more on visualizing geo-spatial data with sf and ggplotly click [here](https://blog.cpsievert.me/2018/01/30/learning-improving-ggplotly-geom-sf/).
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See [https://plotly.com/r/reference/](https://plotly.com/r/reference/) for more information and chart attribute options! If you would like to read more on visualizing geo-spatial data with sf and ggplotly click [here](https://blog.cpsievert.me/2018/01/30/learning-improving-ggplotly-geom-sf/).

‎ggplot2/2019-07-30-geom_hex.Rmd

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knitr::opts_chunk$set(message = FALSE, warning=FALSE)
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```
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### Basic 2d Heatmap
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See also [geom_bin2d](https://plot.ly/ggplot2/geom_bin2d/) for a similar geom with rectangular bins. Note: facetting is supported in geom\_bin2d but not geom\_hex.
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See also [geom_bin2d](https://plotly.com/ggplot2/geom_bin2d/) for a similar geom with rectangular bins. Note: facetting is supported in geom\_bin2d but not geom\_hex.
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Source: [Department of Canadian Heritage](https://open.canada.ca/data/en/dataset/a0bff264-1c80-41ee-aef9-e7da347c5158)
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‎r/2015-07-30-2D-Histogram.Rmd

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```
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#### Basic 2D Histogram
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2D histograms require `x`/`y`, but in contrast to heatmaps, `z` is optional. If `z` is not provided, binning occurs in the browser (see [here](https://plot.ly/r/reference/#histogram2d-histnorm) for a list of binning options).
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2D histograms require `x`/`y`, but in contrast to heatmaps, `z` is optional. If `z` is not provided, binning occurs in the browser (see [here](https://plotly.com/r/reference/#histogram2d-histnorm) for a list of binning options).
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```{r}
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#### Colorscale
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If `z` is not provided, the only way to control coloring is through the [colorscale attribute](https://plot.ly/r/reference/#histogram2d-colorscale)
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If `z` is not provided, the only way to control coloring is through the [colorscale attribute](https://plotly.com/r/reference/#histogram2d-colorscale)
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```{r}
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fig <- fig %>% add_histogram2d(colorscale = "Blues")

‎r/2015-07-30-3d-line-plots.Rmd

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#Reference
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See [https://plot.ly/r/reference/#scatter3d](https://plot.ly/r/reference/#scatter3d) for more information and chart attribute options!
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See [https://plotly.com/r/reference/#scatter3d](https://plotly.com/r/reference/#scatter3d) for more information and chart attribute options!

‎r/2015-07-30-3d-scatter-plots.Rmd

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#Reference
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See [https://plot.ly/r/reference/#scatter3d](https://plot.ly/r/reference/#scatter3d) for more information and chart attribute options!
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See [https://plotly.com/r/reference/#scatter3d](https://plotly.com/r/reference/#scatter3d) for more information and chart attribute options!

‎r/2015-07-30-3d-surface-plots.Rmd

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#### Configure Surface Contour Levels
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This example shows how to slice the surface graph on the desired position for each of x, y and z axis. [contours.x.start](https://plot.ly/r/reference/#surface-contours-x-start) sets the starting contour level value, `end` sets the end of it, and `size` sets the step between each contour level.
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This example shows how to slice the surface graph on the desired position for each of x, y and z axis. [contours.x.start](https://plotly.com/r/reference/#surface-contours-x-start) sets the starting contour level value, `end` sets the end of it, and `size` sets the step between each contour level.
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```{r}
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