ts_summarise: Summarise a data frame containing ABS time series

In djpr-data/djprshiny: Common Functions For DJPR Shiny Apps

Summarise a data frame containing ABS time series

Description

Summarise a data frame containing ABS time series

Usage

ts_summarise(df, digits = 1)

Arguments

df	Data frame containing ABS time series
digits	Number of digits to round numbers to

Value

Data frame with the following columns

• series_id Unique ABS time series ID

• series Name of the ABS time series

• indicator Fragment of the series that refers to the thing that is being measured (eg. 'Unemployment rate'). Only defined for the LFS.

• latest_date Date of latest value

• latest_value Latest value

• d_year_abs Change between latest observation and prior year in absolute terms

• d_year_perc Change between latest observation and prior year in percentage terms

• d_period_abs Change between previous and latest period in absolute terms

• d_period_perc Change between previous and latest period in percentage terms

• ptile_latest_value Percentile of latest value within full history

• ptile_d_year_abs Percentile of absolute changee over past year, within full history

• ptile_d_year_perc Percentile of percentage change over past year, within full history

• ptile_d_period_abs Percentile of absolute change over latest period, within full history

• ptile_d_period_perc Percentile of percentage change over latest period, within full history

• latest_period Month of latest value

• latest_year Year of latest value

• prev_date Date of previous period

• prev_value Value in previous period

• prev_period Month of previous period

• min_date Date of earliest observation in data for series

• precovid_value Value on the observation prior to 2020-03-14

• d_sincecovid_perc Percentage change in value since the observation prior to 2020-03-14

• up_is_good Logical. TRUE if an increase in value is 'good', FALSE if it is 'bad', NA if it is undefined or neither good nor bad. Only defined for the LFS.

djpr-data/djprshiny documentation built on May 14, 2023, 1:15 p.m.