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# Tour of the extended (ChartEx) chart types: waterfall, clusteredColumn
# (histogram-style), funnel, paretoLine, sunburst, treemap with custom labels,
# box-whisker with multi-series styling, and a regionMap (also re-used on a
# dedicated chart sheet). Built against mtcars and a small country dataset.
all_chartex <- function() {
require(openxlsx2)
require(encharter)
my_wf <- ec("waterfall")
my_wf$set_chart_title("Waterfall")$
add_series("Data!$A$1", "Data!$A$2:$A$10", subtotals = FALSE)
my_hist <- ec("clusteredColumn")
my_hist$set_chart_title("Histogram")$
add_series("Data!$B$1", "Data!$B$2:$B$30")
my_funnel <- ec("funnel")
my_funnel$set_chart_title("Sales Funnel")$
add_series("Data!$C$1", "Data!$C$2:$C$6")
my_pl <- ec("paretoLine")
my_pl$set_chart_title("Pareto Line")$
add_series("Data!$B$1", "Data!$B$2:$B$30")$
set_y_axis(grid_lines = "dashed")
my_sb <- ec("sunburst")
my_sb$set_chart_title("Sunburst")$
add_series("Data!$C$1", "Data!$C$2:$C$30", "Data!$A$2:$B$30",
line_color = wb_color("white"))
my_tm <- ec("treemap")
my_tm$set_chart_title("treemap")$
add_series("Data!$C$1", "Data!$C$2:$C$30", "Data!$B$2:$B$30")$
set_data_label_style(
show_val = TRUE,
pos = "outEnd",
font_size = 10,
bold = TRUE,
color = wb_color("white"),
format = "#,##0.0"
)
my_bw <- ec("boxWhisker")
my_bw$
set_chart_title("MPG Distribution",
font_size = 16, font_name = "Arial", bold = TRUE)$
set_x_title("by Cylinder", font_size = 12, italic = TRUE)$
set_y_title("Miles per Gallon", font_size = 12, font_name = "Calibri")$
set_x_axis(font_size = 10, font_name = "Arial", bold = TRUE)$
set_y_axis(font_size = 12, font_name = "Times New Roman",
italic = TRUE, color = "000000", format = "0.0")$
add_series(
name = '"Super Duper MPG"',
data = "Data!$A$2:$A$33",
label = "Data!$B$2:$B$33",
color = wb_color("magenta"),
line_color = wb_color("black")
)$
add_series(
name = "Data!$C$1",
data = "Data!$C$2:$C$33",
label = "Data!$B$2:$B$33",
color = wb_color(hex = "FFA500"),
line_color = wb_color("black")
)$
set_legend_style(
pos = "r",
font_size = 15,
bold = TRUE,
color = wb_color(theme = "4")
)
wb <- wb_workbook()$add_worksheet("Data")$add_data(x = mtcars)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "A2:G12", graph = my_wf)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "A13:G24", graph = my_hist)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "H2:N12", graph = my_funnel)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "H13:N24", graph = my_bw)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "O2:U12", graph = my_pl)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "V2:AB12", graph = my_tm)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "O13:U24", graph = my_sb)
map_data <- data.frame(
Country = c("United States", "Canada", "Mexico", "Brazil", "United Kingdom",
"Germany", "France", "China", "Japan", "Australia", "India"),
Sales_Volume = c(850, 420, 300, 510, 600, 720, 580, 950, 640, 310, 880),
Growth_Rate = c(0.05, 0.02, 0.08, 0.12, 0.03, 0.04, 0.01, 0.15, 0.02, 0.06, 0.18)
)
my_rm <- ec("regionMap")
my_rm$set_chart_title("Region Map")$
add_series(name = "'Region Map'!$B$1",
data = "'Region Map'!$B$2:$B$12",
label = "'Region Map'!$A$2:$A$12")
wb$add_worksheet("Region Map")$add_data(x = map_data)
wb <- wb_add_encharter(wb, sheet = "Data", dims = "V13:AB24", graph = my_rm)
wb$add_chartsheet("WorldMap")
wb <- wb_add_encharter(wb, sheet = "WorldMap", graph = my_rm)
if (interactive()) wb$open()
invisible(wb)
}
all_chartex()
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