Merge pull request #45 from plotly/change-ly-to-com

change tld to .com from .ly

Author: nicolaskruchten

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

@@ -12,7 +12,7 @@ output:
 ---
 # Plotly for R
 
-Plotly is an R package for creating interactive web-based graphs via [plotly](https://plot.ly/)'s JavaScript graphing library, `plotly.js`.
+Plotly is an R package for creating interactive web-based graphs via [plotly](https://plotly.com/)'s JavaScript graphing library, `plotly.js`.
 
 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. 
 
@@ -140,7 +140,7 @@ fig <- plotly_build(fig)
 str(fig)
 ```
 
-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)
+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)
 
 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.
 
@@ -189,7 +189,7 @@ str(fig$x$layout$plot_bgcolor) # the background color of the plot is "rgb(229,22
 str(fig$x$layout$legend)
 ```
 
-Each of these properties was extracted and translated from the original ggplot2 figure. [View all of the possible attributes](https://plot.ly/r/reference).
+Each of these properties was extracted and translated from the original ggplot2 figure. [View all of the possible attributes](https://plotly.com/r/reference).
 
 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`)
 
@@ -217,7 +217,7 @@ fig
 
 #### Resources
 
-- [ggplot2 examples](https://plot.ly/ggplot2)
-- [Plotly's native R DSL](https://plot.ly/r)
-- [Plotly's declarative graph description reference](https://plot.ly/r/reference)
+- [ggplot2 examples](https://plotly.com/ggplot2)
+- [Plotly's native R DSL](https://plotly.com/r)
+- [Plotly's declarative graph description reference](https://plotly.com/r/reference)
 - [`plotly` R package on GitHub](https://github.com/ropensci/plotly)

ggplot2/2017-04-21-geom_quantile.Rmd

@@ -81,4 +81,4 @@ Reference: [ggplot2 docs](http://ggplot2.tidyverse.org/reference/geom_quantile.h
 
 ### Reference
 
-See [https://plot.ly/r/reference](https://plot.ly/r/reference) for more information and options!
+See [https://plotly.com/r/reference](https://plotly.com/r/reference) for more information and options!

ggplot2/2017-04-21-geom_rug.Rmd

@@ -44,4 +44,4 @@ Reference: [ggplot2 docs](http://ggplot2.tidyverse.org/reference/geom_rug.html#e
 
 ### Reference
 
-See [https://plot.ly/r/reference](https://plot.ly/r/reference) for more information and options!
+See [https://plotly.com/r/reference](https://plotly.com/r/reference) for more information and options!

ggplot2/2017-04-21-geom_spoke.Rmd

@@ -37,4 +37,4 @@ Reference: [ggplot2 docs](http://ggplot2.tidyverse.org/reference/geom_spoke.html
 
 ### Reference
 
-See [https://plot.ly/r/reference](https://plot.ly/r/reference) for more information and options!
+See [https://plotly.com/r/reference](https://plotly.com/r/reference) for more information and options!

ggplot2/2018-06-22-geom_sf.Rmd

@@ -42,8 +42,8 @@ fig
 
 ### Using Native Plotly
 
-Alternatively, you can use [`plot_ly`, `plot_geo`, or `plot_mapbox`](https://plot.ly/r/maps-sf/).
+Alternatively, you can use [`plot_ly`, `plot_geo`, or `plot_mapbox`](https://plotly.com/r/maps-sf/).
 
 ### Reference
 
-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/).
+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

@@ -17,7 +17,7 @@ output:
 knitr::opts_chunk$set(message = FALSE, warning=FALSE)
 ```
 ### Basic 2d Heatmap
-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.
+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.
 
 Source: [Department of Canadian Heritage](https://open.canada.ca/data/en/dataset/a0bff264-1c80-41ee-aef9-e7da347c5158)
 

r/2015-07-30-2D-Histogram.Rmd

@@ -18,7 +18,7 @@ knitr::opts_chunk$set(message = FALSE, warning=FALSE)
 ```
 #### Basic 2D Histogram
 
-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).
+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).
 
 ```{r}
 # install.packages('mvtnorm')
@@ -36,7 +36,7 @@ fig2
 ```
 
 #### Colorscale
-If `z` is not provided, the only way to control coloring is through the [colorscale attribute](https://plot.ly/r/reference/#histogram2d-colorscale)
+If `z` is not provided, the only way to control coloring is through the [colorscale attribute](https://plotly.com/r/reference/#histogram2d-colorscale)
 
 ```{r}
 fig <- fig %>% add_histogram2d(colorscale = "Blues")

r/2015-07-30-3d-line-plots.Rmd

@@ -120,4 +120,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/#scatter3d](https://plot.ly/r/reference/#scatter3d) for more information and chart attribute options!
+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

@@ -100,4 +100,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/#scatter3d](https://plot.ly/r/reference/#scatter3d) for more information and chart attribute options!
+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

@@ -63,7 +63,7 @@ fig
 ```
 
 #### Configure Surface Contour Levels
-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.
+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.
 
 ```{r}
 

r/2015-07-30-bar-charts.Rmd

@@ -338,9 +338,9 @@ fig
 
 ### Horizontal Bar Chart
 
-See examples of horizontal bar charts [here](https://plot.ly/r/horizontal-bar-charts/).
+See examples of horizontal bar charts [here](https://plotly.com/r/horizontal-bar-charts/).
 
 #Reference
 
-See [https://plot.ly/r/reference/#bar](https://plot.ly/r/reference/#bar) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#bar](https://plotly.com/r/reference/#bar) for more information and chart attribute options!
 

r/2015-07-30-box-plots.Rmd

@@ -101,4 +101,4 @@ fig
 
 ### Reference
 
-See [https://plot.ly/r/reference/#box](https://plot.ly/r/reference/#box) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#box](https://plotly.com/r/reference/#box) for more information and chart attribute options!

r/2015-07-30-bubble-charts.Rmd

@@ -136,9 +136,9 @@ fig
 To scale the bubble size, use the attribute sizeref. We recommend using the following formula to calculate a sizeref value:<br><br>
 sizeref = 2. * max(array of size values) / (desired maximum marker size ** 2)
 <br><br>
-Note that setting sizeref to a value greater than 1 decreases the rendered marker sizes, while setting sizeref to less than 1 increases the rendered marker sizes. See [https://plot.ly/python/reference/#scatter-marker-sizeref](https://plot.ly/python/reference/#scatter-marker-sizeref) for more information.
+Note that setting sizeref to a value greater than 1 decreases the rendered marker sizes, while setting sizeref to less than 1 increases the rendered marker sizes. See [https://plotly.com/python/reference/#scatter-marker-sizeref](https://plotly.com/python/reference/#scatter-marker-sizeref) for more information.
 <br><br>
-Additionally, we recommend setting the sizemode attribute: [https://plot.ly/python/reference/#scatter-marker-sizemode](https://plot.ly/python/reference/#scatter-marker-sizemode) to area.
+Additionally, we recommend setting the sizemode attribute: [https://plotly.com/python/reference/#scatter-marker-sizemode](https://plotly.com/python/reference/#scatter-marker-sizemode) to area.
 
 
 ```{r}
@@ -256,4 +256,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/#scatter](https://plot.ly/r/reference/#scatter) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#scatter](https://plotly.com/r/reference/#scatter) for more information and chart attribute options!

r/2015-07-30-contour-plots.Rmd

@@ -192,8 +192,8 @@ fig
 
 ### Contour Colorscales
 
-See [here](https://plot.ly/r/colorscales/) for more examples concerning colorscales!
+See [here](https://plotly.com/r/colorscales/) for more examples concerning colorscales!
 
 ### Reference
 
-See [https://plot.ly/r/reference/#contour](https://plot.ly/r/reference/#contour) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#contour](https://plotly.com/r/reference/#contour) for more information and chart attribute options!

r/2015-07-30-dumbbell-plots.Rmd

@@ -38,4 +38,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/#scatter](https://plot.ly/r/reference/#scatter) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#scatter](https://plotly.com/r/reference/#scatter) for more information and chart attribute options!

r/2015-07-30-filled-area-plots.Rmd

@@ -18,7 +18,7 @@ knitr::opts_chunk$set(message = FALSE, warning=FALSE)
 ### Basic Filled Area Plot
 
 To make an area plot with interior filling set `fill` to `"tozeroy"` in the call for the second trace.
-For more informations and options about the `fill` option checkout [https://plot.ly/r/reference/#scatter-fill](https://plot.ly/r/reference/#scatter-fill)
+For more informations and options about the `fill` option checkout [https://plotly.com/r/reference/#scatter-fill](https://plotly.com/r/reference/#scatter-fill)
 
 ```{r}
 library(plotly)
@@ -152,7 +152,7 @@ fig
 ### Interior Filling for Area Chart
 
 To make an area plot with interior filling set `fill` to `"tonexty"` in the call for the second trace.
-For more informations and options about the `fill` option checkout [https://plot.ly/r/reference/#scatter-fill](https://plot.ly/r/reference/#scatter-fill)
+For more informations and options about the `fill` option checkout [https://plotly.com/r/reference/#scatter-fill](https://plotly.com/r/reference/#scatter-fill)
 
 ```{r}
 library(plotly)
@@ -242,4 +242,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/#area](https://plot.ly/r/reference/#area) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#area](https://plotly.com/r/reference/#area) for more information and chart attribute options!

r/2015-07-30-getting-started.Rmd

@@ -61,4 +61,4 @@ Click on legend entries to hide/show traces, click-and-drag on the chart to zoom
 
 ## Next Steps
 
-Once you have installed the `plotly` R package, learn more about the [fundamentals of making charts](https://plot.ly/r/plotly-fundamentals/) and start making [basic charts](https://plot.ly/r/basic-charts/).
+Once you have installed the `plotly` R package, learn more about the [fundamentals of making charts](https://plotly.com/r/plotly-fundamentals/) and start making [basic charts](https://plotly.com/r/basic-charts/).

r/2015-07-30-graphing-multiple-chart-types.Rmd

@@ -106,4 +106,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/](https://plot.ly/r/reference/) for more information and chart attribute options!
+See [https://plotly.com/r/reference/](https://plotly.com/r/reference/) for more information and chart attribute options!

r/2015-07-30-histograms.Rmd

@@ -93,7 +93,7 @@ fig
 ```
 ### Share bins between histograms
 
-In this example both histograms have a compatible bin settings using [bingroup](https://plot.ly/r/reference/#histogram-bingroup) attribute. 
+In this example both histograms have a compatible bin settings using [bingroup](https://plotly.com/r/reference/#histogram-bingroup) attribute. 
 ```{r}
 library(plotly)
 
@@ -113,7 +113,7 @@ fig <- fig %>% layout(
 
 fig
 ```
-Note that traces on the same subplot, and with the same `barmode` ("stack", "relative", "group") are forced into the same `bingroup`, however traces with `barmode = "overlay"` and on different axes (of the same axis type) can have compatible bin settings. Histogram and [histogram2d](https://plot.ly/r/2D-Histogram/) trace can share the same `bingroup`.
+Note that traces on the same subplot, and with the same `barmode` ("stack", "relative", "group") are forced into the same `bingroup`, however traces with `barmode = "overlay"` and on different axes (of the same axis type) can have compatible bin settings. Histogram and [histogram2d](https://plotly.com/r/2D-Histogram/) trace can share the same `bingroup`.
 
 ```{r}
 library(plotly)
@@ -134,4 +134,4 @@ fig
 ```
 ### Reference
 
-See [https://plot.ly/r/reference/#histogram](https://plot.ly/r/reference/#histogram) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#histogram](https://plotly.com/r/reference/#histogram) for more information and chart attribute options!

r/2015-07-30-legend.Rmd

@@ -167,7 +167,7 @@ fig
 
 ### Size of Legend Items
 
-In this example, since the [itemsizing](https://plot.ly/r/reference/#layout-legend-itemsizing) attribute is set to `constant`, the size of legend items symbols remains the same, regardless of how tiny/huge the bubbles are in the graph.
+In this example, since the [itemsizing](https://plotly.com/r/reference/#layout-legend-itemsizing) attribute is set to `constant`, the size of legend items symbols remains the same, regardless of how tiny/huge the bubbles are in the graph.
 
 ```{r}
 library(plotly)
@@ -285,4 +285,4 @@ fig
 
 Reference
 
-See [https://plot.ly/r/reference/#layout-legend](https://plot.ly/r/reference/#layout-legend) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#layout-legend](https://plotly.com/r/reference/#layout-legend) for more information and chart attribute options!

r/2015-07-30-line-and-scatter.Rmd

@@ -82,7 +82,7 @@ fig <- fig %>% add_trace(y = ~trace_2, name = 'trace 2', mode = 'markers')
 fig
 ```
 
-See more examples of line charts [here](https://plot.ly/r/line-charts/).
+See more examples of line charts [here](https://plotly.com/r/line-charts/).
 
 ### Qualitative Colorscales
 
@@ -177,4 +177,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/#scatter](https://plot.ly/r/reference/#scatter) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#scatter](https://plotly.com/r/reference/#scatter) for more information and chart attribute options!

r/2015-07-30-polar-chart.Rmd

@@ -19,7 +19,7 @@ knitr::opts_chunk$set(message = FALSE, warning=FALSE)
 
 ### Legacy Plots
 
-These polar charts are legacy and will likely be deprecated in [Plotly 2.0](https://github.com/plotly/plotly.js/issues/420). Please see the new `scatterpolar` and `scatterpolargl` [trace types](https://plot.ly/r/polar-chart/) for latest and greatest in Plotly polar coordinates.
+These polar charts are legacy and will likely be deprecated in [Plotly 2.0](https://github.com/plotly/plotly.js/issues/420). Please see the new `scatterpolar` and `scatterpolargl` [trace types](https://plotly.com/r/polar-chart/) for latest and greatest in Plotly polar coordinates.
 
 ### Polar Scatter Chart
 
@@ -54,4 +54,4 @@ fig
 ```
 
 ### Reference
-See [https://plot.ly/python/reference/#area](https://plot.ly/python/reference/#area) for more information and chart attribute options!
+See [https://plotly.com/python/reference/#area](https://plotly.com/python/reference/#area) for more information and chart attribute options!

r/2015-07-30-text-and-annotations.Rmd

@@ -39,7 +39,7 @@ fig <- fig %>% layout(title = 'Primates Brain and Body Weight',
 fig
 ```
 
-See more options on the textposition argument [here](https://plot.ly/r/reference/#scatter-textposition).
+See more options on the textposition argument [here](https://plotly.com/r/reference/#scatter-textposition).
 
 ### Styling Text
 
@@ -395,9 +395,9 @@ fig
 ```
 ### Customize Displayed Text with a Text Template
 
-To show an arbitrary text in your chart you can use [texttemplate](https://plot.ly/r/reference/#pie-texttemplate), which is a template string used for rendering the information, and will override [textinfo](https://plot.ly/r/reference/#treemap-textinfo).
+To show an arbitrary text in your chart you can use [texttemplate](https://plotly.com/r/reference/#pie-texttemplate), which is a template string used for rendering the information, and will override [textinfo](https://plotly.com/r/reference/#treemap-textinfo).
 This template string can include `variables` in %{variable} format, `numbers` in [d3-format's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Formatting.md#d3_forma), and `date` in [d3-time-fomrat's syntax](https://github.com/d3/d3-3.x-api-reference/blob/master/Time-Formatting.md#format).
-`texttemplate` customizes the text that appears on your plot vs. [hovertemplate](https://plot.ly/r/reference/#pie-hovertemplate) that customizes the tooltip text.
+`texttemplate` customizes the text that appears on your plot vs. [hovertemplate](https://plotly.com/r/reference/#pie-hovertemplate) that customizes the tooltip text.
 
 ```{r}
 library(plotly)
@@ -413,7 +413,7 @@ fig
 
 ### Customize Text Template
 
-The following example uses [textfont](https://plot.ly/r/reference/#scatterternary-textfont) to customize the added text.
+The following example uses [textfont](https://plotly.com/r/reference/#scatterternary-textfont) to customize the added text.
 
 ```{r}
 library(plotly)
@@ -433,8 +433,8 @@ fig
 ```
 ### Set Date in Text Template
 
-The following example shows how to show date by setting [axis.type](https://plot.ly/r/reference/#layout-yaxis-type) in [funnel charts](https://plot.ly/r/funnel-charts/).
-As you can see [textinfo](https://plot.ly/r/reference/#funnel-textinfo) and [texttemplate](https://plot.ly/r/reference/#funnel-texttemplate) have the same functionality when you want to determine 'just' the trace information on the graph.
+The following example shows how to show date by setting [axis.type](https://plotly.com/r/reference/#layout-yaxis-type) in [funnel charts](https://plotly.com/r/funnel-charts/).
+As you can see [textinfo](https://plotly.com/r/reference/#funnel-textinfo) and [texttemplate](https://plotly.com/r/reference/#funnel-texttemplate) have the same functionality when you want to determine 'just' the trace information on the graph.
 
 ```{r}
 fig <- plot_ly()
@@ -499,4 +499,4 @@ fig
 
 #Reference
 
-See [https://plot.ly/r/reference/#layout-annotations](https://plot.ly/r/reference/#layout-annotations) for more information and chart attribute options!
+See [https://plotly.com/r/reference/#layout-annotations](https://plotly.com/r/reference/#layout-annotations) for more information and chart attribute options!