Plant Growth Dataset

Description

This dataset contains information about the growth of plants under different treatments and concentrations over time.

Usage

CO2

Format

A tibble with 84 rows and 6 variables:

Plant

Factor. The identifier for the plant.

Type

Factor. The type of plant, here represented as "Quebec".

Treatment

Factor. The treatment applied to the plant, here represented as "nonchilled".

conc

Numeric. The concentration level of the treatment.

uptake

Numeric. The uptake measurement of the plant.

date

Date. The date of the observation.

Examples

data(CO2)
head(CO2)

Chart Specification

Description

Chart Specification

Usage

SveltePlots(list_input)

Arguments

Shiny bindings for SveltePlots

Description

Output and render functions for using SveltePlots within Shiny applications and interactive Rmd documents.

Usage

SveltePlotsOutput(outputId, width = "100%", height = "400px")

renderSveltePlots(expr, env = parent.frame(), quoted = FALSE)

Arguments

Value

No return value. Called for side effects in a 'shiny' app context.

No return value. Called for side effects in a 'shiny' app context.

Add Bar Series Data to the SveltePlots Chart

Description

This function adds series to a SveltePlot chart, updating the internal data structure. It supports grouped and stacked bar charts with customization of colors and legend entries.

Usage

add_bars(sp, current_data, color_mapping, group_name, include_legend)

Arguments

Add XY Data to Chart

Description

This function adds XY (scatter or line) data to a SveltePlot chart. It supports customization of aesthetics such as color, size, opacity, and more. It is used to overlay data points, lines, or other XY elements onto the chart.

Usage

add_xy(
  sp,
  current_data,
  group_name,
  color_mapping,
  size,
  alpha,
  facet,
  tooltip,
  type,
  second_axis,
  include_legend
)

Arguments

Internal: Prepare Bar Chart Data

Description

Handles data preparation for bar charts with modes such as stacked or grouped.

Usage

bar_chart(
  data,
  create_configurations,
  size,
  alpha,
  tooltip,
  colors,
  mode,
  include_legend,
  facet_var
)

Arguments

Value

Configuration list with modified data for bar chart.

Confidence Intervals Data

Description

This dataset contains time series data with actual values and corresponding confidence intervals.

Usage

confidence_intervals

Format

A tibble with 368 rows and 7 variables:

.model_id

Integer. The model ID.

.model_desc

Character. Description of the model.

.key

Factor. The key indicating actual or forecast data.

.index

Date. The date of the observation.

.value

Numeric. The actual value.

.conf_lo

Numeric. The lower bound of the confidence interval.

.conf_hi

Numeric. The upper bound of the confidence interval.

Examples

data(confidence_intervals)
head(confidence_intervals)

Create Default Configuration for SveltePlot Charts

Description

Initializes a list of default configuration settings for SveltePlot charts for internal use. It sets up parameters related to chart dimensions, appearance, axis properties, and more, to prepare for rendering. This function is not intended for direct use by API consumers.

Usage

create_configurations(
  id = "",
  data = NULL,
  header = "",
  height = 500,
  show_legend = TRUE,
  xaxis_ticks = 6,
  dx = "0em",
  dy = "0em",
  rotation_xaxis = 0,
  font_size_xaxis = 14,
  font_size_xticks = 12,
  scale_x = "linear",
  dominant_baseline_x_axis = "middle",
  text_anchor_x_axis = "middle",
  x_axis_type = NULL,
  x_label = NULL,
  format_xaxis = NULL,
  format_yaxis = ",.3r",
  yaxis_ticks = 6,
  font_size_yaxis = 14,
  font_size_yticks = 12,
  format_tooltip = ".2~f",
  y_label = NULL,
  tooltip = NULL,
  interval = NULL,
  time_interval = NULL,
  colors = c("#1F77B4", "#FF7F0E", "#2CA02C", "#D62728", "#9467BD", "#8C564B", "#E377C2",
    "#7F7F7F", "#BCBD22", "#17BECF")
)

Arguments

Value

A list of configurations for a SveltePlot chart.

Examples

## Not run: 
# This function is typically used internally within the SveltePlots package
# and not intended for direct use in scripts or applications.

## End(Not run)

Daily Active Users Data

Description

This dataset contains daily active user (DAU) counts for a specific period, along with slot information.

Usage

dau

Format

A tibble with 19 rows and 3 variables:

date

The date, in Date format.

DAU

Daily active users count, a numeric value.

Slot

Slot number associated with the DAU count, a numeric value.

Examples

data(dau)
head(dau)

Internal: Prepare Density Chart Data

Description

Transforms data for rendering density charts. This function is part of the internal mechanics for data preparation in SveltePlot charts.

Usage

density_chart(
  data,
  create_configurations,
  size,
  alpha,
  tooltip,
  colors,
  include_legend,
  facet_var
)

Arguments

Value

Configuration list with modified data for density chart.

Economics Data

Description

This dataset contains economic data, including personal consumption expenditures, population, personal savings rate, median duration of unemployment, and the number of unemployed individuals, recorded monthly from July 1967.

Usage

economics

Format

A tibble with 574 rows and 6 variables:

date

Date. The date of the observation.

pce

Numeric. Personal consumption expenditures, in billions of dollars.

pop

Numeric. Total population, in thousands.

psavert

Numeric. Personal savings rate, as a percentage.

uempmed

Numeric. Median duration of unemployment, in weeks.

unemploy

Numeric. Number of unemployed individuals, in thousands.

Source

This dataset is sourced from the Federal Reserve Economic Data (FRED) database. https://fred.stlouisfed.org/

Examples

data(economics)
head(economics)

Example Dataset: Fruit Data

Description

This dataset contains information about different types of fruits in various baskets over multiple years. It includes details such as the fruit type, the value, and the color of the fruit.

Usage

fruit

Format

A tibble with 16 rows and 6 variables:

id

Integer. A unique identifier for each record.

year

Character. The year the data was recorded.

basket

Integer. The basket number containing the fruits.

fruit

Character. The type of fruit.

value

Integer. The value associated with the fruit.

color

Character. The color of the fruit.

Examples

data(fruit)
head(fruit)

Gapminder Dataset

Description

This dataset provides country-level data on life expectancy, GDP per capita, and population. It is included in the 'gapminder' package. For detailed information, please refer to the [gapminder documentation](https://cran.r-project.org/package=gapminder).

Usage

gapminder

Format

A data frame with 1704 rows and 6 variables.

country

Factor with country names.

continent

Factor with continent names.

year

Integer.

lifeExp

Numeric.

pop

Integer.

gdpPercap

Numeric.

Source

This dataset is sourced from the 'gapminder' package.

See Also

gapminder documentation

Examples

data(gapminder)
head(gapminder)

Internal: Prepare Histogram Data

Description

Transforms and bins data for histogram chart rendering within the SveltePlot package.

Usage

histogram(
  data,
  create_configurations,
  size,
  alpha,
  tooltip,
  colors,
  breaks,
  include_legend,
  facet_var
)

Arguments

Value

Configuration list with modified data for histogram.

Internal: Mutate Mapping for Chart Data

Description

Prepares and modifies data mappings for SveltePlot chart rendering. This function is internally used by the 'sp()' function to handle data transformation based on chart type and aesthetic mappings.

Usage

mutate_mapping(
  data,
  mapping,
  create_configurations,
  size,
  alpha,
  tooltip,
  colors = NULL,
  mode,
  include_legend,
  breaks,
  facet_var
)

Arguments

Value

Modified chart configurations.

Penguins Dataset

Description

This dataset provides measurements of penguins. It is included in the 'palmerpenguins' package. For detailed information, please refer to the [palmerpenguins documentation](https://allisonhorst.github.io/palmerpenguins/).

Usage

penguins

Format

A data frame with 344 rows and 8 variables.

species

Factor with levels Adelie, Chinstrap, Gentoo.

island

Factor with levels Biscoe, Dream, Torgersen.

bill_length_mm

Numeric.

bill_depth_mm

Numeric.

flipper_length_mm

Numeric.

body_mass_g

Numeric.

sex

Factor with levels female, male.

year

Integer.

Source

This dataset is sourced from the 'palmerpenguins' package.

See Also

palmerpenguins documentation

Examples

data(penguins)
head(penguins)

Revenue Data

Description

This dataset contains revenue data over a period of time with rolling revenue calculations.

Usage

purchases

Format

A data frame with 10 rows and 4 variables:

date

Date. The timestamp of the revenue data.

age

Factor. The age range category.

revenue

Numeric. The revenue for the given date.

revenue_roll

Numeric. The rolling revenue calculation.

Examples

data(purchases)
head(purchases)

Example Dataset: Retention Data

Description

This dataset contains retention data for different custom categories and progression stages. It includes the number of observations at two different points (n.x and n.y) and the retention rate.

Usage

quests

Format

A tibble with 38 rows and 5 variables:

custom_01

Character. A custom category identifier.

progression_2

Factor. The progression stage.

n.x

Numeric. The number of observations at the first point.

n.y

Numeric. The number of observations at the second point.

retention

Numeric. The retention rate, calculated as n.x divided by n.y.

Examples

data(quests)
head(quests)

Segments

Description

This dataset contains information about various events including promotions, gacha events, and experiments. Each event has details such as start and end dates, additional descriptions, and graphical representation attributes.

Usage

segments

Format

A tibble with 658 rows and 8 variables:

event_type

Type of the event, a character string.

start_date

Start date of the event, in Date format.

end_date

End date of the event, in Date format.

extra_details

Additional details about the event, a character string.

colors

Color associated with the event, a character string.

key

A numeric identifier for the event.

y_start

Starting y-coordinate for graphical representation, a numeric value.

y_end

Ending y-coordinate for graphical representation, a numeric value.

Examples

data(segments)
head(segments)

Create Various Types of Plots

Description

This function allows for the creation of various types of plots including scatter plots, time-series plots, line charts, bar charts, density plots, histograms, pie charts, and boxplots. It provides flexibility through several arguments that control the appearance and behavior of the plots. The function is part of the SveltePlots package which leverages the power of Svelte and D3 for rendering.

Usage

sp(
  data,
  mapping,
  type,
  mode = "grouped",
  size = 2,
  alpha = 1,
  tooltip = TRUE,
  include_legend = TRUE,
  colors = NULL,
  height = 500,
  combine_same_groups = TRUE,
  breaks = "Sturges",
  facet_var = NULL
)

Arguments

Value

A SveltePlots plot object which can be rendered in a web page or an R Markdown document.

Examples

library(SveltePlots)

data("penguins")
sp(
  data = penguins,
  mapping = spaes(x = flipper_length_mm, y = bill_length_mm, group = species),
  type = "points"
)

Add Arrows to a SveltePlot Chart

Description

Adds arrows to a SveltePlot chart to illustrate directions, trends, or to point out specific data points. This function enhances the chart's ability to convey insights to the viewer.

Usage

sp_add_arrows(
  sp,
  x_start,
  x_end,
  y_start,
  y_end,
  arrow_head_type = NULL,
  size = NULL,
  color = "black",
  curvature = 1e-05,
  direction = "upward",
  arrow_head = NULL
)

Arguments

Value

An object of class htmlwidget representing the plot with arrows added.

Examples

library(SveltePlots)
data("purchases")

sp(
  data = purchases, type = "line",
  mapping = spaes(x = date, y = revenue_roll, group = age),
  colors = c("red", "green", "blue"),
  combine_same_groups = TRUE
) |>
  sp_add_series(
    data = purchases,
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    alpha = 0.4,
    tooltip = FALSE,
    include_legend = FALSE
  ) |>
  sp_add_series(
    data = purchases[purchases$revenue == max(purchases$revenue), ],
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    size = 5,
    tooltip = FALSE
  ) |>
  sp_add_segments(
    x_start = "2000-01-12", x_end = "2000-01-17",
    y_start = "auto", y_end = "auto",
    type = "rect",
    opacity = 0.2,
    background_color = "black",
    text_color = "white",
    show_legend = TRUE,
    legend_text = "Highest Revenue Day",
    tooltip = "Revenue: <strong>$13179</strong>"
  ) |>
  sp_add_arrows(
    x_start = c("2000-03-01", "2000-03-01"), x_end = c("2000-01-15", "2000-01-15"),
    y_start = c(8000, 12000), y_end = c(10000, 13000),
    arrow_head = c(0, 0),
    size = c(200, 200),
    curvature = c(0.2, 0.4),
    direction = c("downward", "downward"),
    color = c("black", "black"),
    arrow_head_type = c("triangle", "triangle")
  ) |>
  sp_add_text(
    x = c("2000-02-01", "2000-02-20"),
    y = c(12500, 8500),
    text = c(
      "This was the highest revenue day",
      "Window of Some Event Happening"
    )
  )

Add Segments or Rectangles to a SveltePlot Chart

Description

Adds segments or rectangles to highlight specific areas or differences within a SveltePlot chart. This function can be used to draw attention to certain data points, ranges, or to compare groups.

Usage

sp_add_segments(
  sp,
  x_start,
  x_end,
  y_start = "even",
  y_end = "even",
  type = "lines",
  linetype = "solid",
  line_width = 1,
  opacity = 0.2,
  show_legend = TRUE,
  background_color = NULL,
  legend_text = " ",
  tooltip = "",
  font_size = 12,
  text_color = "black",
  x_position = NULL,
  y_position = NULL,
  outline_width = 1,
  outline_color = "black",
  key = NULL
)

Arguments

Value

An object of class htmlwidget representing the plot with segments added.

Examples

library(SveltePlots)
data("segments")
data("dau")
data("purchases")

sp(
  data = purchases, type = "line",
  mapping = spaes(x = date, y = revenue_roll, group = age),
  colors = c("red", "green", "blue"),
  combine_same_groups = TRUE,
  height = 500
) |>
  sp_add_series(
    data = purchases,
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    alpha = 0.4,
    tooltip = FALSE,
    include_legend = FALSE
  ) |>
  sp_add_series(
    data = purchases[purchases$revenue == max(purchases$revenue), ],
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    size = 5,
    tooltip = FALSE
  ) |>
  sp_add_segments(
    x_start = "2000-01-12", x_end = "2000-01-17",
    y_start = "auto", y_end = "auto",
    type = "rect",
    opacity = 0.2,
    background_color = "black",
    text_color = "white",
    show_legend = TRUE,
    legend_text = "Highest Revenue Day",
    tooltip = "Revenue: <strong>$13179</strong>"
  ) |>
  sp_add_arrows(
    x_start = c("2000-03-01", "2000-03-01"), x_end = c("2000-01-15", "2000-01-15"),
    y_start = c(8000, 12000), y_end = c(10000, 13000),
    arrow_head = c(0, 0),
    size = c(200, 200),
    curvature = c(0.2, 0.4),
    direction = c("downward", "downward"),
    color = c("black", "black"),
    arrow_head_type = c("triangle", "triangle")
  ) |>
  sp_add_text(
    x = c("2000-02-01", "2000-02-20"),
    y = c(12500, 8500),
    text = c(
      "This was the highest revenue day",
      "Window of Some Event Happening"
    )
  )










sp <- sp(
  data = dau,
  type = "line",
  spaes(x = date, y = DAU),
  tooltip = FALSE
) |>
  sp_add_series(
    data = dau,
    mapping = spaes(x = date, y = DAU),
    type = "points",
    size = 4,
    tooltip = TRUE,
  ) |>
  sp_add_segments(
    x_start = segments$start_date,
    x_end = segments$end_date,
    y_start = "even",
    y_end = "even",
    type = "rect",
    opacity = 0.2,
    background_color = segments$colors,
    text_color = "white",
    show_legend = TRUE,
    legend_text = segments$event_type,
    tooltip = unlist(segments$extra_details),
    key = segments$key
  ) |>
  sp_title("DAU", font_size = 24) |>
  sp_x_axis(rotation_axis_ticks = -30)

sp

Add Series to a SveltePlot Chart

Description

This function adds additional series to an existing SveltePlot chart. It supports adding lines or points with customizable aesthetics such as color, size, and opacity. This is particularly useful for layering multiple data sets on a single plot for comparison or highlighting relationships.

Usage

sp_add_series(
  sp,
  data,
  mapping,
  type,
  alpha = 1,
  size = 2,
  colors = NULL,
  tooltip = TRUE,
  include_legend = TRUE,
  second_axis = FALSE
)

Arguments

Value

An object of class htmlwidget representing the plot with a series added.

Examples

library(SveltePlots)
library(dplyr)
library(lubridate)

data("economics")
data("confidence_intervals")
data("purchases")

sp(
  data = economics,
  type = "line",
  mapping = spaes(x = date, y = unemploy),
  colors = "red"
) %>%
  sp_add_series(
    data = economics,
    mapping = spaes(x = date, y = pce),
    type = "line",
    colors = "green"
  ) %>%
  sp_add_series(
    data = economics,
    mapping = spaes(x = date, y = psavert),
    type = "line",
    colors = "blue"
  )

data("gapminder")

gapminder <- gapminder %>%
  dplyr::mutate(
    country = as.character(country),
    year = lubridate::ymd(paste0(year, "-01-01"))
  )

sp <- SveltePlots::sp(
  data = gapminder %>%
    dplyr::group_by(year, continent) %>%
    dplyr::summarise(
      lifeExp = mean(lifeExp)
    ) %>%
    dplyr::ungroup(),
  mapping = spaes(x = year, y = lifeExp, group = continent),
  type = "line",
  combine_same_groups = FALSE
) %>%
  sp_add_series(
    data = gapminder %>%
      dplyr::filter(country == "Germany"),
    mapping = spaes(x = year, y = lifeExp, group = country),
    type = "line",
    colors = "gold"
  ) %>%
  sp_add_series(
    gapminder %>%
      dplyr::filter(country == "Chile"),
    mapping = spaes(x = year, y = lifeExp, group = country),
    type = "line",
    colors = "silver"
  ) %>%
  sp_add_series(
    gapminder %>%
      dplyr::filter(country == "Chile"),
    mapping = spaes(x = year, y = lifeExp, group = country),
    type = "points",
    size = 3,
    tooltip = FALSE
  )

sp(
  data = purchases,
  mapping = spaes(x = date, y = revenue_roll, group = age),
  type = "line",
  colors = c("red", "green", "blue"),
  combine_same_groups = FALSE
) %>%
  sp_add_series(
    data = purchases,
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    alpha = 0.4,
    tooltip = FALSE,
  ) %>%
  sp_add_series(
    data = purchases[purchases$revenue == max(purchases$revenue), ],
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    size = 5,
    tooltip = FALSE
  )

Add Text Annotations to a SveltePlot Chart

Description

Adds text annotations at specified positions on a SveltePlot chart. This function can be used to label specific parts of a chart, display values, or add any other textual information.

Usage

sp_add_text(
  sp,
  x,
  y,
  text,
  color = "black",
  font_size = 12,
  text_anchor = NULL,
  style = NULL
)

Arguments

Value

An object of class htmlwidget representing the plot with text annotations.

Examples

library(SveltePlots)
data("purchases")

sp(
  data = purchases, type = "line",
  mapping = spaes(x = date, y = revenue_roll, group = age),
  colors = c("red", "green", "blue"),
  combine_same_groups = TRUE
) |>
  sp_add_series(
    data = purchases,
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    alpha = 0.4,
    tooltip = FALSE,
    include_legend = FALSE
  ) |>
  sp_add_series(
    data = purchases[purchases$revenue == max(purchases$revenue), ],
    mapping = spaes(x = date, y = revenue, group = age),
    type = "points",
    size = 5,
    tooltip = FALSE
  ) |>
  sp_add_segments(
    x_start = "2000-01-12", x_end = "2000-01-17",
    y_start = "auto", y_end = "auto",
    type = "rect",
    opacity = 0.2,
    background_color = "black",
    text_color = "white",
    show_legend = TRUE,
    legend_text = "Highest Revenue Day",
    tooltip = "Revenue: <strong>$13179</strong>"
  ) |>
  sp_add_arrows(
    x_start = c("2000-03-01", "2000-03-01"), x_end = c("2000-01-15", "2000-01-15"),
    y_start = c(8000, 12000), y_end = c(10000, 13000),
    arrow_head = c(0, 0),
    size = c(200, 200),
    curvature = c(0.2, 0.4),
    direction = c("downward", "downward"),
    color = c("black", "black"),
    arrow_head_type = c("triangle", "triangle")
  ) |>
  sp_add_text(
    x = c("2000-02-01", "2000-02-20"),
    y = c(12500, 8500),
    text = c(
      "This was the highest revenue day",
      "Window of Some Event Happening"
    )
  )

Create Multiple Charts Based on a Faceting Variable

Description

This function creates multiple charts based on a specified faceting variable.

Usage

sp_facet(sp, ncol = NULL, nrow = NULL, scales = "fixed")

Arguments

Details

This function splits the data by the specified facet variable and creates multiple charts (facets) accordingly. The function can automatically determine the number of rows and columns in the facet grid if not specified.

Value

An object of class htmlwidget representing the facetted plot.

Examples

library(SveltePlots)
data("penguins")
sp <- sp(
  data = penguins,
  mapping = spaes(x = flipper_length_mm, y = bill_length_mm, group = species),
  type = "points",
  facet_var = "sex"
) |>
  SveltePlots::sp_facet(ncol = 2, scales = "free")
sp

Set title for SveltePlots charts

Description

This function sets the title properties for SveltePlots charts, including text alignment, color, font size, font weight, and padding.

Usage

sp_title(
  sp,
  title = NULL,
  text_align = "left",
  color = "black",
  font_size = 16,
  font_weight = "bold",
  custom_css = ""
)

Arguments

Value

An object of class htmlwidget representing the plot with an added title.

Create a tooltip for SveltePlots charts

Description

This function creates a customizable tooltip for SveltePlots charts. Tooltips provide additional information when hovering over data points.

Usage

sp_tooltip(
  sp,
  type = NULL,
  format = NULL,
  background_color = "white",
  opacity = 0.8,
  text_color = "black",
  border_color = NULL,
  border_width = 1,
  font_size = 12,
  font_family = "Arial, sans-serif",
  padding = 5,
  position = NULL,
  show_delay = 0,
  animation = FALSE,
  animation_params = NULL,
  justify_content = "space-between",
  cross_hair = FALSE
)

Arguments

Value

A SveltePlots object with an attached tooltip.

Modify X-Axis of a SveltePlot Chart

Description

Modifies labels, scales, and appearance of the x-axis in a SveltePlot chart. This function allows for customization of the x-axis, including label formatting, scale type (linear or logarithmic), tick marks, and more.

Usage

sp_x_axis(
  sp,
  title = NULL,
  format = NULL,
  scale = "linear",
  ticks = 6,
  label = NULL,
  font_size_label = 14,
  font_size_ticks = 12,
  rotation_axis_ticks = 0,
  show_bar_labels = FALSE,
  position = "top",
  color_ticks = "black",
  color_label = "black",
  dx = 0,
  dy = 0,
  text_anchor = NULL,
  dominant_baseline = NULL,
  trigger = NULL,
  linetype = "solid"
)

Arguments

Value

An object of class htmlwidget representing the plot with modified x-axis.

Examples

library(SveltePlots)
sp(
  data = economics,
  mapping = spaes(x = date, y = unemploy),
  type = "line",
  tooltip = TRUE,
  colors = "red"
) |>
  sp_add_series(
    data = economics,
    mapping = spaes(x = date, y = pce),
    type = "line",
    tooltip = TRUE,
    colors = "green"
  ) |>
  sp_add_series(
    data = economics,
    mapping = spaes(x = date, y = psavert),
    type = "line",
    tooltip = FALSE,
    colors = "blue"
  ) |>
  sp_x_axis(
    format = "%b %Y",
    ticks = 4,
    label = "Date",
    font_size_label = 14,
    font_size_ticks = 12,
    rotation_axis_ticks = -30
  ) |>
  sp_y_axis(
    font_size_label = 14,
    font_size_ticks = 12
  )

Modify Y-Axis of a SveltePlot Chart

Description

Similar to sp_x_axis, but for the y-axis. This function customizes the appearance and scaling of the y-axis, including label formatting, tick marks, and label and tick colors.

Usage

sp_y_axis(
  sp,
  format = NULL,
  scale = "linear",
  ticks = 6,
  label = NULL,
  font_size_label = 14,
  font_size_ticks = 12,
  color_ticks = "black",
  color_label = "black"
)

Arguments

Value

An object of class htmlwidget representing the plot with modified y-axis.

Examples

## Not run: 
library(SveltePlots)
# Assume `economics` data and prior `sp` and `sp_x_axis` calls
sp(...) |>
  sp_y_axis(label = "Unemployment", font_size_label = 18, font_size_ticks = 14)

## End(Not run)

Create Aesthetic Mappings for SveltePlots

Description

'spaes' creates a list of aesthetic mappings for use with SveltePlot charts. Similar to 'aes' in 'ggplot2' and 'hcaes' in 'highcharter', it defines how data should be mapped to visual properties such as position, size, and color. 'spaes' mappings are used when creating or adding series to plots, ensuring a consistent and expressive interface for defining the appearance of data in charts.

Usage

spaes(x, y, ...)

Arguments

Value

An object of class 'spaes', which is a list of unevaluated expressions that define how data is mapped to the visual properties of a chart.

Examples

library(SveltePlots)

sp(mtcars, spaes(x = disp, y = mpg, group = vs), type = "points")

Walmart Weekly Sales Data

Description

Weekly Sales Data

Usage

walmart_sales_weekly

Format

A tibble with 1,001 rows and 17 variables:

id

Unique identifier for the combination of Store and Dept, a factor

Store

Store number, a numeric value

Dept

Department number, a numeric value

Date

Date of the observation, in Date format

Weekly_Sales

Sales for the given department in the given store, a numeric value

IsHoliday

Indicator of whether the week is a special holiday week, a logical value

Type

Type of store, a character string

Size

Size of the store, a numeric value

Temperature

Temperature during the week, in degrees Fahrenheit, a numeric value

Fuel_Price

Cost of fuel in the region, a numeric value

MarkDown1

Markdown 1, a numeric value

MarkDown2

Markdown 2, a numeric value

MarkDown3

Markdown 3, a numeric value

MarkDown4

Markdown 4, a numeric value

MarkDown5

Markdown 5, a numeric value

CPI

Consumer Price Index, a numeric value

Unemployment

Unemployment rate, a numeric value

Details

A dataset containing weekly sales data for a retail company, including information on holidays, markdowns, and economic indicators.

Examples

data(walmart_sales_weekly)
head(walmart_sales_weekly)

Internal: Prepare XY Chart Data

Description

Processes data for XY charts including scatter and line charts. Used internally within the SveltePlot package.

Usage

xy_chart(
  data,
  create_configurations,
  size,
  alpha,
  tooltip,
  colors,
  include_legend,
  facet_var
)

Arguments

Value

Configuration list with modified data for XY chart.