fix links

plotly · LiamConnors · May 28, 2024 · May 27, 2024 · May 27, 2024 · May 27, 2024
commit 29523d39fa823226f243d9221867ec1cdd0a8186
diff --git a/r/2015-07-30-text-and-annotations.Rmd b/r/2015-07-30-text-and-annotations.Rmd
@@ -64,7 +64,7 @@ fig
 
 ### Controlling text fontsize with uniformtext
 
-For the [pie](/r/pie-charts), [bar](/r/bar-charts), [sunburst](/r/sunburst-charts) and [treemap](/r/treemap-charts) traces, it is possible to force all the text labels to have the same size thanks to 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.
+For the [pie](/r/pie-charts), [bar](/r/bar-charts), [sunburst](/r/sunburst-charts) and [treemap](/r/treemaps) traces, it is possible to force all the text labels to have the same size thanks to 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.
 
 ```{r}
 library(plotly)
@@ -228,10 +228,10 @@ library(plotly)
 
 fig <- plot_ly()
 fig <- fig %>% add_trace(
-    x = c("2017-01-01", "2017-02-10", "2017-03-20"), 
-    y = c("A", "B", "C"), 
-    z = c(1, 1000, 100000), 
-    name = "z", 
+    x = c("2017-01-01", "2017-02-10", "2017-03-20"),
+    y = c("A", "B", "C"),
+    z = c(1, 1000, 100000),
+    name = "z",
     type = "scatter3d"
   )
 fig <- fig %>% layout(

diff --git a/r/2019-09-26-gauge-charts.Rmd b/r/2019-09-26-gauge-charts.Rmd
@@ -22,7 +22,7 @@ knitr::opts_chunk$set(message = FALSE, warning=FALSE)
   The bar shows the target value, and the shading represents the progress toward that goal. Gauge charts, known as
   speedometer charts as well. This chart type is usually used to illustrate key business indicators.
 
-  The example below displays a basic gauge chart with default attributes. For more information about different added attributes check [indicator](https://plotly.com/r/indicator/) tutorial.
+  The example below displays a basic gauge chart with default attributes.
 
 ```{r}
 library(plotly)
@@ -32,7 +32,7 @@ fig <- plot_ly(
     value = 270,
     title = list(text = "Speed"),
     type = "indicator",
-    mode = "gauge+number") 
+    mode = "gauge+number")
 fig <- fig %>%
   layout(margin = list(l=20,r=30))
 
@@ -61,7 +61,7 @@ fig <- plot_ly(
     threshold = list(
       line = list(color = "red", width = 4),
       thickness = 0.75,
-      value = 490))) 
+      value = 490)))
 fig <- fig %>%
   layout(margin = list(l=20,r=30))
 
@@ -92,7 +92,7 @@ fig <- plot_ly(
     threshold = list(
       line = list(color = "red", width = 4),
       thickness = 0.75,
-      value = 490))) 
+      value = 490)))
 fig <- fig %>%
   layout(
     margin = list(l=20,r=30),

diff --git a/r/2021-08-21-map-configuration.Rmd b/r/2021-08-21-map-configuration.Rmd
@@ -69,7 +69,7 @@ fig
 
 ### Disabling Base Maps
 
-In certain cases, such as large scale [choropleth maps](plotly.com/r/choropleth-maps/), the default physical map can be distracting. In this case the `layout$geo$visible` attribute can be set to `FALSE` to hide all base map attributes except those which are explicitly set to true. For example in the following map we hide all physical features except rivers and lakes, neither of which are shown by default:
+In certain cases, such as large scale [choropleth maps](https://plotly.com/r/choropleth-maps/), the default physical map can be distracting. In this case the `layout$geo$visible` attribute can be set to `FALSE` to hide all base map attributes except those which are explicitly set to true. For example in the following map we hide all physical features except rivers and lakes, neither of which are shown by default:
 
 ```{r}
 library(plotly)
@@ -97,7 +97,7 @@ In addition to physical base map features, a "cultural" base map is included whi
 
 > Natural Earth Vector draws boundaries of countries according to defacto status. We show who actually controls the situation on the ground.
 
-**To create a map with your own cultural features** please refer to our [choropleth documentation](plotly.com/r/choropleth-maps/).
+**To create a map with your own cultural features** please refer to our [choropleth documentation](https://plotly.com/r/choropleth-maps/).
 
 Here is a map with only cultural features enabled and styled, at a 1:50m resolution, which includes only country boundaries. See below for country sub-unit cultural base map features: