WebMap highcharter WebLet’s compare a simple ggplotcall for charting the top 10 scorers in the NBA this year might vs the equivolent call in highcharter. ggplot gamelogs %>% group_by(namePlayer) %>% summarise(ppg = mean(pts)) %>% arrange(desc(ppg)) %>% slice(1:10) %>% ggplot(aes(x = namePlayer, y = ppg)) + geom_col() highcharter gamelogs %>%
hc_yAxis : Yaxis options for highcharter objects
Web7 de jun. de 2024 · Take the following example: library (highcharter) # I'm using the latest version from github (0.5.0.9999) x <- data.frame (a = rnorm (5000), b = rnorm (5000), cat = c (rep ("Yes", 2500), rep ("No",2500))) highchart () %>% hc_add_series (data = x, type = "scatter", hcaes (x=a, y=b, group=cat)) Web26 de nov. de 2024 · GitHub / jbkunst/highcharter / In jbkunst/highcharter: A Wrapper for the 'Highcharts' Library library (highcharter) options (highcharter.theme = hc_theme_hcrt (tooltip = list (valueDecimals = 2 ))) Highcharts have a rich API which allows you to have control of the entire chart, from title, subtitle to axis ticks, labels, annotations. how to say cow in chinese
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Webhighcharter.R library ( "highcharter") data ( diamonds, mpg, package = "ggplot2") hchart ( mpg, "scatter", hcaes ( x = displ, y = hwy, group = class )) highchart () % > % hc_chart ( type = "column") % > % hc_title ( text = "A highcharter chart") % > % hc_xAxis ( categories = 2012:2016) % > % Web13 de mar. de 2024 · Since there's no highcharter answer yet, I give you at least a base solution. First, your definition of the data frame is somewhat flawed, rather do: dat <- data.frame (categ=c ('a','b','c','d'), value=rnorm (1000)) Now, using boxplot is quite straightforward. border option colors your borders. With option col you also could color … WebThis means that in order for the default templates to show up, highcharts-editor.with.modules.min.js must also be included. Alternatively, include highcharts … northgate imaging edmonton