update examples

This commit is contained in:
pvictor 2019-09-04 12:55:13 +02:00
parent 65b565ad67
commit dd39d9dd99
2 changed files with 270 additions and 7 deletions

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@ -0,0 +1,244 @@
library(apexcharter)
library(dplyr)
# Bar ---------------------------------------------------------------------
data("mpg", package = "ggplot2")
count(mpg, class) %>%
mutate(pct=n/sum(n)) %>%
apex(mapping = aes(class, pct), type = "column") %>%
ax_colors("#617a89") %>%
ax_labs(
title = "Seminal ggplot2 column chart example with percents",
subtitle = "Example taken from {hrbrthemes} readme"
) %>%
ax_yaxis(
title = list(text = "Weight (tons)"),
labels = list(
formatter = JS("function(value) {return Math.round(value * 100) + '%';}")
),
tickAmount = 6
) %>%
ax_xaxis(
title = list(text = "Fuel efficiency (mpg)")
) %>%
ax_title(
style = list(fontSize = "22px")
) %>%
ax_subtitle(
style = list(fontSize = "16px", color = "#BDBDBD")
)
# Line --------------------------------------------------------------------
data("economics_long", package = "ggplot2")
economics_long %>%
filter(variable %in% c("psavert", "uempmed")) %>%
mutate(variable = case_when(
variable == "psavert" ~ "Personal savings rate",
variable == "uempmed" ~ "Median duration of unemployment (in weeks)"
)) %>%
apex(aes(date, value, group = variable), type = "line") %>%
ax_legend(position = "bottom") %>%
ax_stroke(width = 1) %>%
ax_yaxis(
min = 0, max = 30,
tickAmount = 6,
labels = list(
formatter = htmlwidgets::JS("function(val) {return val.toFixed(0);}")
),
title = list(text = "Personal savings rate")
) %>%
ax_xaxis(type = "datetime", labels = list(format = "d MMM yy")) %>%
ax_tooltip(x = list(format = "dd MMM yyyy")) %>%
ax_labs(
title = "US economic time series",
subtitle = "Data from {ggplot2}"
) %>%
ax_title(
style = list(fontSize = "22px")
) %>%
ax_subtitle(
style = list(fontSize = "16px", color = "#BDBDBD")
)
# Scatter -----------------------------------------------------------------
data("gapminder", package = "gapminder")
gapminder %>%
filter(year == 2007) %>%
mutate(
gdpPercap = log(gdpPercap),
pop = sqrt(pop/pi)/1500
) %>%
apex(mapping = aes(gdpPercap, lifeExp, z = pop, group = continent, label = country), type = "scatter") %>%
ax_chart(zoom = list(
enabled = TRUE, type = "xy"
)) %>%
ax_yaxis(decimalsInFloat = 0, axisBorder = list(show = TRUE), axisTicks = list(show = TRUE)) %>%
ax_xaxis(tickAmount = 8, tooltip = list(enabled = FALSE)) %>%
ax_grid(xaxis = list(lines = list(show = TRUE))) %>%
ax_legend(position = "right") %>%
ax_markers(hover = list(sizeOffset = 0, size = 25)) %>%
ax_tooltip(custom = JS(paste(
"function({ series, seriesIndex, dataPointIndex, w }) {",
"console.log(w); return (",
"'<div>' +",
"'<div class = \"apexcharts-tooltip-title\">' +",
"w.config.series[seriesIndex].data[dataPointIndex].label",
"+ '</div>' +",
"'<div style = \"padding: 5px;\">' +",
"'<div class = \"apexcharts-tooltip-y-group\">' +",
"'<span class = \"apexcharts-tooltip-text-label\">' +",
"'Population: ' +",
"'</span>' +",
"'<span class = \"apexcharts-tooltip-text-value\">' +",
"Math.round(Math.pow(w.config.series[seriesIndex].data[dataPointIndex].z * 1500, 2) * Math.PI).
toString().replace(/\\B(?=(\\d{3})+(?!\\d))/g, \",\") +",
"'</span>' +",
"'</br>' +",
"'<span class = \"apexcharts-tooltip-text-label\">' +",
"'GDP per capita: ' +",
"'</span>' +",
"'<span class = \"apexcharts-tooltip-text-value\">' +",
"Math.round(Math.exp(w.config.series[seriesIndex].data[dataPointIndex].x)) +",
"'</span>' +",
"'</br>' +",
"'<span class = \"apexcharts-tooltip-text-label\">' +",
"'Life expectancy: ' +",
"'</span>' +",
"'<span class = \"apexcharts-tooltip-text-value\">' +",
"w.config.series[seriesIndex].data[dataPointIndex].y +",
"'</span>' +",
"'</div>' +",
"'</div>' +",
"'</div>'",
");",
"}", sep = "\n"
)))
# Heatmap -----------------------------------------------------------------
data("vaccines", package = "highcharter")
apex(vaccines, aes(year, state, fill = count), type = "heatmap") %>%
ax_chart(animations = list(enabled = FALSE)) %>%
ax_dataLabels(enabled = FALSE) %>%
ax_legend(
formatter = JS(
"function(seriesName, opts) {
if (seriesName == 'Missing') return null; else return seriesName;
}"
)
) %>%
ax_stroke(width = 0) %>%
ax_plotOptions(
heatmap = heatmap_opts(
radius = 0,
enableShades = FALSE,
colorScale = list(
ranges = list(
list(
from = 0,
to = 0.001,
name = "Missing",
color = "#FFF"
),
list(
from = 0.001,
to = 4,
name = "low",
# color = "#000004"
color = "#FDE725"
),
list(
from = 4,
to = 70,
name = "mid-low",
# color = "#781C6D",
color = "#35B779"
),
list(
from = 70,
to = 290,
name = "mid-high",
# color = "#ED6925",
color = "#31688E"
),
list(
from = 290,
to = 3000,
name = "high",
# color = "#FCFFA4",
color = "#440154"
)
)
)
)
) %>%
ax_annotations(
xaxis = list(
list(
x = 1963, x2 = 1963.1,
strokeDashArray = 0,
opacity = 1,
borderColor = "firebrick",
fillColor = "firebrick",
label = list(
borderColor = "firebrick",
style = list(color = "#FFF", background = "firebrick"),
text = "Vaccine Intoduced",
orientation = "horizontal",
position = "bottom",
offsetY = 10
)
)
)
) %>%
ax_labs(
title = "Infectious Diseases and Vaccines",
subtitle = "Data from {highcharter}"
) %>%
ax_title(
style = list(fontSize = "22px")
) %>%
ax_subtitle(
style = list(fontSize = "16px", color = "#BDBDBD")
)

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@ -86,39 +86,58 @@ apexchart() %>%
)
}
)) %>%
# ax_colors("#008FFB") %>%
ax_legend(
formatter = JS(
"function(seriesName, opts) {
if (seriesName == 'Missing') return null; else return seriesName;
}"
)
) %>%
# ax_colors("#008FFB") %>%
ax_plotOptions(
heatmap = heatmapOpts(
heatmap = heatmap_opts(
radius = 0,
enableShades = FALSE,
colorScale = list(
ranges = list(
list(
from = 0,
to = 0.001,
name = "Missing",
color = "#FFF"
),
list(
from = 0.001,
to = 4,
name = "low",
color = "#000004"
# color = "#000004"
color = "#FDE725"
),
list(
from = 4,
to = 70,
name = "mid-low",
color = "#781C6D"
# color = "#781C6D",
color = "#35B779"
),
list(
from = 70,
to = 290,
name = "mid-high",
color = "#ED6925"
# color = "#ED6925",
color = "#31688E"
),
list(
from = 290,
to = 3000,
name = "high",
color = "#FCFFA4"
# color = "#FCFFA4",
color = "#440154"
)
)
)
)
) %>%
) %>%
ax_xaxis(type = "category", categories = unique(vaccines$year))