Insper Time Series Plot

Creates line plots of time series with Insper's visual identity. Handles Date and POSIXct x-axes and both discrete and continuous color mappings.

Usage

insper_timeseries(
  data,
  x,
  y,
  color = NULL,
  palette = "main",
  line_width = 0.8,
  add_points = FALSE,
  ...
)

Arguments

data

A data frame.

x

<data-masked> Time variable (numeric, Date, or POSIXct).

y

<data-masked> Value variable.

color

Color aesthetic. Accepts one of the options below.

• A bare column name, mapped to color, one line per group (e.g., color = category).

• A quoted color string, used as a static color (e.g., color = "blue").

• NULL (default), which uses Insper turquesa.

A mapped variable gets a discrete or continuous Insper scale to match its type.

palette

Character. Palette for mapped variables. Default is "main".

line_width

Numeric. Line width. Default is 0.8.

add_points

Logical. If TRUE, adds points on the lines. Default is FALSE.

...

Additional arguments passed to ggplot2::geom_line(), such as linetype or alpha.

Value

A ggplot object.

See also

theme_insper, scale_color_insper_d

Other plots: insper_area(), insper_barplot(), insper_boxplot(), insper_density(), insper_heatmap(), insper_histogram(), insper_scatterplot(), insper_violin()

Examples

if (FALSE) { # has_insper_fonts()
library(ggplot2)

# Plot inflation over time
insper_timeseries(macro_series, x = date, y = ipca)

# A quoted color string sets a static line color
insper_timeseries(macro_series, x = date, y = ipca, color = "#3ACC9F")

# Grouped time series (discrete variable)
recent_data <- subset(fossil_fuel, year >= 1920)
insper_timeseries(recent_data, x = year, y = consumption, color = fuel)
}