parse_time_series: Function to transfer data frame with time series values in...

In tidycharts: Generate Tidy Charts Inspired by 'IBCS'

Description

Function to transfer data frame with time series values in wide format to format accepted by 'line_chart_dense_custom'.

Usage

parse_time_series(df, dates, series, convert.to = "months")

Arguments

df	Date frame with data in wide format.
dates	Name of column in 'df' which contains dates.
series	Vector of column names in 'df' with values of time series.
convert.to	Granularity of x axis. One of c('weeks', 'months', 'quarters', 'years'). Default value is 'months'.

Value

list of data frames, each one containing data about one time series. Data frames in returned list consist of columns: * containing numeric values from 0 to 100 defining the percentage of distance in one time interval of the point (x - coordinates of the point) * containing the value of a point (y - coordinates of the point) * containing the time interval of the value

Examples

df <- data.frame(
    dates = as.Date(c('2021-07-12', '2021-06-18', '2021-05-12')),
    val1 = c(1.5, 1.2, 2.1),
    val2 = c(0.9, 3.2, 1.1))
parse_time_series(df, 'dates', c('val1', 'val2'))

tidycharts documentation built on Jan. 18, 2022, 5:07 p.m.