296 lines
7.2 KiB
R
296 lines
7.2 KiB
R
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library(apexcharter)
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library(dplyr)
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# Bar ---------------------------------------------------------------------
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data("mpg", package = "ggplot2")
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count(mpg, class) %>%
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mutate(pct = n/sum(n)) %>%
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apex(mapping = aes(class, pct), type = "column") %>%
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ax_colors("#617a89")%>%
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ax_yaxis(
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title = list(text = "Weight (tons)"),
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labels = list(
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formatter = JS(
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"function(value) {return Math.round(value * 100) + '%';}"
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)
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),
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tickAmount = 6
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) %>%
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ax_xaxis(
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title = list(text = "Fuel efficiency (mpg)")
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) %>%
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ax_tooltip(
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y = list(
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title = list(
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formatter = JS("function() {return 'Percentage';}")
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)
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)
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) %>%
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ax_labs(
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title = "Seminal ggplot2 column chart example with percents",
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subtitle = "Example taken from {hrbrthemes} readme"
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) %>%
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ax_title(
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style = list(fontSize = "22px")
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) %>%
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ax_subtitle(
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style = list(fontSize = "16px", color = "#BDBDBD")
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)
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# Line --------------------------------------------------------------------
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data("unhcr_ts")
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unhcr_ts %>%
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filter(population_type == "Refugees (incl. refugee-like situations)") %>%
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mutate(date = as.Date(paste0(year, "-01-01"))) %>%
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apex(aes(date, n, group = continent_origin), type = "line") %>%
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ax_legend(position = "bottom") %>%
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ax_stroke(width = 2) %>%
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ax_colors("#440154", "#414487", "#2A788E",
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"#22A884", "#7AD151", "#FDE725") %>%
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ax_yaxis(
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labels = list(
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formatter = JS("function(val) {return (val/1e6).toFixed(0);}")
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),
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title = list(text = "Number of refugees (in million)")
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) %>%
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ax_xaxis(labels = list(format = "yyyy")) %>%
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ax_tooltip(
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x = list(format = "yyyy"),
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y = list(
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formatter = JS(
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# thousand separator in javascript
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"function(value) {return value.toString().replace(/\\B(?=(\\d{3})+(?!\\d))/g, \",\");}"
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)
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)
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) %>%
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ax_annotations(
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points = list(
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list(
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x = JS("new Date('1994').getTime()"),
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y = 6935296,
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label = list(text = "Great Lakes refugee crisis", offsetY = 0),
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marker = list(size = 6)
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)
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)
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) %>%
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ax_labs(
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title = "Continent of origin for refugees population",
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subtitle = "Data from the UN Refugee Agency"
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) %>%
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ax_title(
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style = list(fontSize = "22px")
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) %>%
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ax_subtitle(
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style = list(fontSize = "16px", color = "#BDBDBD")
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)
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# Scatter -----------------------------------------------------------------
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data("gapminder", package = "gapminder")
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gapminder %>%
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filter(year == 2007) %>%
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mutate(
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gdpPercap = log(gdpPercap),
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pop = sqrt(pop / pi) / 1500
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) %>%
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apex(mapping = aes(gdpPercap, lifeExp, z = pop, group = continent, label = country), type = "scatter") %>%
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ax_chart(zoom = list(
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enabled = TRUE, type = "xy"
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)) %>%
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ax_yaxis(
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decimalsInFloat = 0,
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axisBorder = list(show = TRUE),
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axisTicks = list(show = TRUE),
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title = list(text = "life expectancy at birth (in years)")
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) %>%
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ax_xaxis(
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tickAmount = 8,
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labels = list(
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formatter = JS("function(val) {return val.toFixed(2);}")
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),
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tooltip = list(enabled = FALSE),
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title = list(text = "GDP per capita (log-scale)")
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) %>%
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ax_grid(xaxis = list(lines = list(show = TRUE))) %>%
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ax_legend(position = "right", offsetY = 70) %>%
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ax_markers(hover = list(sizeOffset = 0, size = 25)) %>%
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ax_tooltip(custom = JS(paste(
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"function({ series, seriesIndex, dataPointIndex, w }) {",
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"console.log(w); return (",
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"'<div>' +",
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"'<div class = \"apexcharts-tooltip-title\">' +",
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"w.config.series[seriesIndex].data[dataPointIndex].label",
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"+ '</div>' +",
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"'<div style = \"padding: 5px;\">' +",
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"'<div class = \"apexcharts-tooltip-y-group\">' +",
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"'<span class = \"apexcharts-tooltip-text-label\">' +",
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"'Population: ' +",
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"'</span>' +",
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"'<span class = \"apexcharts-tooltip-text-value\">' +",
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"Math.round(Math.pow(w.config.series[seriesIndex].data[dataPointIndex].z * 1500, 2) * Math.PI).
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toString().replace(/\\B(?=(\\d{3})+(?!\\d))/g, \",\") +",
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"'</span>' +",
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"'</br>' +",
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"'<span class = \"apexcharts-tooltip-text-label\">' +",
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"'GDP per capita: ' +",
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"'</span>' +",
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"'<span class = \"apexcharts-tooltip-text-value\">' +",
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"Math.round(Math.exp(w.config.series[seriesIndex].data[dataPointIndex].x)) +",
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"'</span>' +",
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"'</br>' +",
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"'<span class = \"apexcharts-tooltip-text-label\">' +",
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"'Life expectancy: ' +",
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"'</span>' +",
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"'<span class = \"apexcharts-tooltip-text-value\">' +",
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"w.config.series[seriesIndex].data[dataPointIndex].y +",
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"'</span>' +",
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"'</div>' +",
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"'</div>' +",
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"'</div>'",
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");",
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"}", sep = "\n"
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))) %>%
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ax_labs(
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title = "Life expectancy, GDP and population",
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subtitle = "gapminder dataset from {gapminder}"
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) %>%
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ax_title(
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style = list(fontSize = "22px")
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) %>%
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ax_subtitle(
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style = list(fontSize = "16px", color = "#BDBDBD")
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)
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# Heatmap -----------------------------------------------------------------
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data("vaccines", package = "highcharter")
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apex(vaccines, aes(year, state, fill = count), type = "heatmap") %>%
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ax_chart(animations = list(enabled = FALSE)) %>%
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ax_dataLabels(enabled = FALSE) %>%
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ax_stroke(width = 0) %>%
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ax_plotOptions(
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heatmap = heatmap_opts(
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radius = 0,
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enableShades = FALSE,
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colorScale = list(
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ranges = list(
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list(
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from = 0,
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to = 0.001,
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name = "Missing",
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color = "#FFF"
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),
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list(
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from = 0.001,
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to = 4,
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name = "low",
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# color = "#000004"
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color = "#FDE725"
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),
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list(
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from = 4,
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to = 70,
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name = "mid-low",
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# color = "#781C6D",
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color = "#35B779"
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),
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list(
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from = 70,
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to = 290,
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name = "mid-high",
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# color = "#ED6925",
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color = "#31688E"
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),
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list(
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from = 290,
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to = 3000,
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name = "high",
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# color = "#FCFFA4",
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color = "#440154"
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)
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)
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)
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)
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) %>%
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ax_legend(
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formatter = JS(
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"function(seriesName, opts) {
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if (seriesName == 'Missing') return null; else return seriesName;
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}"
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)
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) %>%
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ax_yaxis(
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labels = list(
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style = list(fontSize = "8px"),
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offsetY = -20
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)
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) %>%
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ax_annotations(
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xaxis = list(
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list(
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x = 1963, x2 = 1963.1,
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strokeDashArray = 0,
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opacity = 1,
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borderColor = "firebrick",
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fillColor = "firebrick",
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label = list(
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borderColor = "firebrick",
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style = list(color = "#FFF", background = "firebrick"),
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text = "Vaccine Intoduced",
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orientation = "horizontal",
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position = "bottom",
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offsetY = 10
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)
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)
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)
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) %>%
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ax_labs(
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title = "Infectious Diseases and Vaccines",
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subtitle = "vaccines dataset from {highcharter}"
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) %>%
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ax_title(
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style = list(fontSize = "22px")
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) %>%
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ax_subtitle(
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style = list(fontSize = "16px", color = "#BDBDBD")
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)
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