Add hover text or text annotation in plotly gauge chart - r

Can we add hovertext or text annotation in a plotly gauge chart? For example in my plot below I want to add in the green area hover or text or both "Uptake first dose%: 19.8" and in the gray area "Not vaccinated (%):80.2"
library(plotly)
fig <- plot_ly(
type = "indicator",
mode = "gauge+number+delta",
value = 19.8,
title = list(text = "Uptake first dose %", font = list(size = 24)),
delta = list(reference = 70, increasing = list(color = "gray")),
gauge = list(
axis = list(range = list(NULL, 100), tickwidth = 1, tickcolor = "lightgreen"),
bar = list(color = "lightgreen"),
bgcolor = "white",
borderwidth = 2,
bordercolor = "gray",
steps = list(
list(range = c(0, 50), color = "lightgreen"),
list(range = c(20, 100), color = "gray")),
threshold = list(
line = list(color = "black", width = 4),
thickness = 0.75,
value = 70)))
fig <- fig %>%
layout(
margin = list(l=20,r=30),
paper_bgcolor = "lavender",
font = list(color = "darkblue", family = "Arial"))
fig

You can add annotations but I couldn't find a way to get the hovertext without an annotation.
fig <- plotly::plot_ly(
type = "indicator",
mode = "gauge+number+delta",
value = 19.8,
title = list(text = "Uptake first dose %", font = list(size = 24)),
delta = list(reference = 70, increasing = list(color = "gray")),
gauge = list(
axis = list(range = list(NULL, 100), tickwidth = 1, tickcolor = "lightgreen"),
bar = list(color = "lightgreen"),
bgcolor = "white",
borderwidth = 2,
bordercolor = "gray",
steps = list(
list(range = c(0, 50), color = "lightgreen"),
list(range = c(20, 100), color = "gray")),
threshold = list(
line = list(color = "black", width = 4),
thickness = 0.75,
value = 70)))
fig <- fig %>%
plotly::layout(
margin = list(l=20,r=30),
paper_bgcolor = "lavender",
font = list(color = "darkblue", family = "Arial"),
annotations = list(x = 0.05, y = 0.3, text = "19.8%",
hovertext = "Your Text",
showarrow = FALSE))
fig
You could also use add_annotations if you want to add multiples.
See https://plotly.com/r/text-and-annotations/

Related

Gauge gradient echarts4r in R

I'm needing to create a gauge graph in r, but I can't make the "axisLine" function in gradient colors.
library(echarts4r)
gauge_x <- e_charts() %>%
e_gauge(800,
"Incerteza TC",
startAngle = 180,
endAngle = 0,
min = 0,
max = 1000,
splitNumber = 5,
radius = "185",
itemStyle = list(color = "#000000"),
#axisLine = list(lineStyle = list(color = list(type = "radial", x = "0.5", y = "0.5", r = "0.5",
#backgroundColor = radial_gradient))),
axisTick = list(lineStyle = list(width = 2, color = "#000000")),
splitLine = list(lineStyle = list(color = "#000000", type = "solid")),
axisLabel = list(show = TRUE, color = "#000000", fontWeight = "bold", borderRadius = 5),
pointer = list(show = TRUE, icon = "triangle", length = "80%"), itemStyle = list(color = "black"),
detail = list(show = TRUE, color = "#000000"),
title = list(show = TRUE, fontWeight = "bolder"))
print(gauge_x)
As I am seeing in the documentation, you can not specify gradient color or any pattern fill for axisLine color in the gauge chart. You can only specify an array of colors for segments. As per the documentation,
The axis line of gauge chart can be divided to several segments in different colors. The end position and color of each segment can be expressed by an array.
So you can only color the axisLine by specifying a list of vectors containing the percentages and corresponding colors in the following way :
library(echarts4r)
library(magrittr)
e_charts() %>%
e_gauge(
800,
"Incerteza TC",
startAngle = 180,
endAngle = 0,
min = 0,
max = 1000,
splitNumber = 5,
radius = "185",
itemStyle = list(color = "#000000"),
axisLine = list(lineStyle = list(
color = list(c(0.33, "red"), c(0.67, "blue"), c(1, "green"))
)),
axisTick = list(lineStyle = list(width = 2, color = "#000000")),
splitLine = list(lineStyle = list(color = "#000000", type = "solid")),
axisLabel = list(
show = TRUE,
color = "#000000",
fontWeight = "bold",
borderRadius = 5
),
pointer = list(show = TRUE, icon = "triangle", length = "80%"),
itemStyle = list(color = "black"),
detail = list(show = TRUE, color = "#000000"),
title = list(show = TRUE, fontWeight = "bolder")
)
Hope this helps!

How to remove the whitespace surrounding a plotly bullet chart in R

I have created the following bullet chart in R
library(plotly)
fig<-plot_ly()
fig <- fig %>%
add_trace(
type = "indicator",
mode = "number+gauge+delta",
value = 35,
delta = list(reference = 100),
domain = list(x = c(0.25, 1), y = c(0.4, 0.6)),
title = list(text = "Avalue"),
gauge = list(shape = "bullet",axis = list(range = list(NULL, 100)),threshold = list(
line = list(color = "black", width= 2), thickness = 0.75,value = 55),steps = list(
list(range = c(0, 25), color = "red"),
list(range = c(25, 50), color = "blue"),
list(range = c(50, 75), color = "green"),
list(range = c(75, 100), color = "grey")),
bar = list(color = "grey")))
How do I remove the whitespace around the chart. And is there a way I can adjust the length of the chart
You should change your values for your domain in the add_trace. I changed the y to FALSE and x to a different range, which results in the following plot:
library(plotly)
fig<-plot_ly()
fig <- fig %>%
add_trace(
type = "indicator",
mode = "number+gauge+delta",
value = 35,
delta = list(reference = 100),
domain = list(x = c(0.1, 1), y = FALSE),
title = list(text = "Avalue"),
gauge = list(shape = "bullet",axis = list(range = list(NULL, 100)),threshold = list(
line = list(color = "black", width= 2), thickness = 0.75,value = 55),steps = list(
list(range = c(0, 25), color = "red"),
list(range = c(25, 50), color = "blue"),
list(range = c(50, 75), color = "green"),
list(range = c(75, 100), color = "grey")),
bar = list(color = "grey")))
fig
Output:
As you can see, the whitespace is way less.

How to add percentage mark to value in Gauge meter in R plotly

output$col3<-renderPlotly({
fig <- plot_ly(type = "indicator",mode = "gauge+number",value=VTE_cal(),height = 265,
gauge = list(axis = list(range = list(NULL,100),tickwidth = 1, tickcolor = "black"),
bar = list(color = "darkblue"),bgcolor = "white",borderwidth = 2,bordercolor = "gray",
steps = list(list(range = c(0,20), color = "red"),list(range = c(20,40), color = "pink"),list(range = c(40,60), color = "yellow"),list(range = c(60,80), color = "gold"),list(range = c(80,100), color = "teal")),
threshold = list(line = list(color = "black", width = 4),thickness = 0.75,value = VTE_cal())))
fig <- fig %>%layout(margin = list(l=30,r=50),paper_bgcolor = "lavender",font = list(color = "black", family = "Arial"))
# annotations=list(showarrow=T,arrowhead=3,arrowsize=1,arrowwidth=4))
fig
})
You can use the number argument to specify a prefix or suffix to value; here is an example (with proper indentation!)
plot_ly(
type = "indicator",
mode = "gauge+number",
value = 86,
number = list(suffix = "%"), # <- Specify `prefix` or `suffix`
gauge = list(
axis = list(
range = list(NULL,100),
tickwidth = 1,
tickcolor = "black"),
bar = list(color = "darkblue"),
bgcolor = "white",
borderwidth = 2,
bordercolor = "gray",
steps = list(
list(range = c(0,20), color = "red"),
list(range = c(20,40), color = "pink"),
list(range = c(40,60), color = "yellow"),
list(range = c(60,80), color = "gold"),
list(range = c(80,100), color = "teal")),
threshold = list(
line = list(color = "black", width = 4),
thickness = 0.75,
value = 86))) %>%
layout(
margin = list(l = 30, r = 50),
paper_bgcolor = "lavender",
font = list(color = "black", family = "Arial"))

R plotly fill color to next y only upper values

I have a magneta colored graph made in plotly with certain levels which I have added via vertical lines. Currently I have color filled these areas between the vertical lines.
However I would like to only have a color between the vertical line and the magneta graph (I have circled the aereas as a reference.
Is this possible in plotly?
plot <- plot %>% add_lines(type = 'scatter', mode = "lines",
name = "test", yaxis = 'y2',
x = ~t, y = ~v.x,
line = list(color = '#CC79A7'),
hoverinfo = "text",
text = ~paste(round(v.x, 1), t))
plot <- plot %>% add_segments(x = ~min(t), xend = ~max(t),
y = round(quantNUPL[1], 1), yend = round(quantNUPL[1], 1), yaxis = 'y2',
line= list(color = "#0072B0",
dash = "dash",
width = 1),
showlegend = F)
plot <- plot %>% add_segments(x = ~min(t), xend = ~max(t),
y = round(quantNUPL[2], 1), yend = round(quantNUPL[2], 1), yaxis = 'y2',
line= list(color = "#0072B0",
dash = "dash",
width = 1),
fill = 'tonexty',
fillcolor = '#56B4E940',
name = "90% UPSIDE")
plot <- plot %>% add_segments(x = ~min(t), xend = ~max(t),
y = round(quantNUPL[6], 1), yend = round(quantNUPL[6], 1), yaxis = 'y2',
line= list(color = "#999999",
dash = "dash",
width = 1),
name = "50% UPSIDE")
plot <- plot %>% add_segments(x = ~min(t), xend = ~max(t),
y = round(quantNUPL[9], 1), yend = round(quantNUPL[9], 1), yaxis = 'y2',
line= list(color = "#E69F00",
dash = "dot",
width = 1),
name = "20% UPSIDE",
showlegend = F)
plot <- plot %>% add_segments(x = ~min(t), xend = ~max(t),
y = round(quantNUPL[10], 1), yend = round(quantNUPL[10], 1), yaxis = 'y2',
line= list(color = "#E69F00",
dash = "dash",
width = 1),
fill = 'tonexty',
fillcolor = "#E69F0020",
name = "20% UPSIDE")
plot <- plot %>% add_segments(x = ~min(t), xend = ~max(t),
y = round(quantNUPL[11], 1), yend = round(quantNUPL[11], 1), yaxis = 'y2',
line= list(color = "#E69F00",
dash = "solid",
width = 1),
fill = 'tonexty',
fillcolor = "#E69F0040",
name = "10% UPSIDE")
You can try setting a trace and defining the max y-values with an ifelse-function.
Example Data
df <- data.frame(x = 1:50,
y = c(20:5,6:10,9:3,4:20, 19:15))
Code
plot_ly(df) %>%
add_lines(type = 'scatter', mode = "lines",
name = "test", yaxis = 'y2',
x = ~x, y = ~y,
line = list(color = '#CC79A7'),
hoverinfo = "text",
text = ~paste(round(y, 1), x)) %>%
#color space between y = 8 and line
add_trace(x = ~x, y = ~ifelse(y <=8, y, 8),
type = "scatter", fill = "toself",
fillcolor = "blue", mode = "none",
yaxis = 'y2') %>%
#background boxes
layout(shapes = list(
list(type = "rect",
fillcolor = "blue", line = list(color = "blue"), opacity = 0.3,
x0 = ~min(x), x1 = ~max(x),
y0 = 0, y1 = 8, yref = "y2"),
list(type = "rect",
fillcolor = "orange", line = list(color = "orange"), opacity = 0.3,
x0 = ~min(x), x1 = ~max(x),
y0 = 18, y1 = 20, yref = "y2"),
list(type = "rect",
fillcolor = "yellow", line = list(color = "yellow"), opacity = 0.3,
x0 = ~min(x), x1 = ~max(x),
y0 = 16, y1 = 20, yref = "y2")))
Plot
Second idea
df <- data.frame(x = 1:50,
y = c(20:5,6:10,9:3,4:8,1,10:20, 5:1))
plot_ly(df) %>%
# add darkblue background
add_trace(x = ~x, y = 8,
type = "scatter", fill = "tozeroy",
fillcolor = "blue", mode = "none",
yaxis = 'y2', hoverinfo = "none") %>%
# set area underneath red line to white
add_lines(type = 'scatter', mode = "lines",
yaxis = 'y2',
x = ~x, y = ~y,
line = list(width = 0),
hoverinfo = "none",
fillcolor = "white",
fill = "tozeroy",
showlegend = FALSE) %>%
# add red line graph
add_lines(type = 'scatter', mode = "lines",
name = "test", yaxis = 'y2',
x = ~x, y = ~y,
line = list(color = '#CC79A7'),
hoverinfo = "text",
text = ~paste(round(y, 1), x)) %>%
layout(shapes = list(
# add lightblue background
list(type = "rect",
fillcolor = "blue", line = list(color = "blue"), opacity = 0.3,
x0 = ~min(x), x1 = ~max(x),
y0 = 0, y1 = 8, yref = "y2"),
# add orange background
list(type = "rect",
fillcolor = "orange", line = list(color = "orange"), opacity = 0.3,
x0 = ~min(x), x1 = ~max(x),
y0 = 18, y1 = 20, yref = "y2"),
#add yellow backround
list(type = "rect",
fillcolor = "yellow", line = list(color = "yellow"), opacity = 0.3,
x0 = ~min(x), x1 = ~max(x),
y0 = 16, y1 = 20, yref = "y2")),
#remove grid
xaxis = list(showgrid = F),
yaxis2 = list(showgrid = F)
)

Prevent Overlapping of labels in Plotly

I am plotting bubble chart using Plotly in R. But when I give labels using add_annotations labels overlap and its very difficult to read them. how to prevent this overlapping in plotly. I have tried "geom_label_repel" but its not working with plotly as it gives error.
My Code is
plot_ly(bubbleChartData, x = ~Category1, y = ~Category2, type = 'scatter', mode = 'markers', size = ~BubbleSize,
color = ~Category3, colors = brewer.pal(8,"Dark2"),
marker = list( sizemode = 'diameter'), text=~Category4) %>%
add_annotations( showarrow=F,xanchor="right",xref = "x",ax = 20,
ay = -40,
yref = "y",x = ~Category1, y = ~Category2, text=~Category4,font = list(size = 10))%>%
layout(title = '',font=list(size=10),
xaxis = list(
title = "",
showgrid=FALSE,
showline=FALSE,
tickfont = list(
size = 16,
color = 'rgb(0,0,0)'),
titlefont = list(
size = 18,
color = 'rgb(0,0,0)')),
yaxis = list(
title = "",
showgrid=FALSE,
showline=FALSE,
titlefont = list(
size = 18,
color = 'rgb(0,0,0)'),
tickfont = list(
size = 16,
color = 'rgb(0,0,0)')),
showlegend = F)

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