plot_summary: Generate summary plot

In UBC-MDS/covizr: Easy access to Covid-19 data from Our World in Data and generates COVID-19 charts

Description

Create a horizontal bar chart summarizing a specified variable and value within a time period

Usage

plot_summary(
  df,
  var = "location",
  val = "new_cases",
  fun = "sum",
  date_from = NULL,
  date_to = NULL,
  top_n = 5
)

Arguments

df	Data frame of the selected covid data from get_data()
var	Qualitative values to segment data. Must be a categorical variable. Also known as a 'dimension'. By default 'location'
val	Quantitative values to be aggregated. Must be numeric variable. Also known as a 'measure'. By default 'new_cases'
fun	Aggregation function for val, by default 'sum'
date_from	Start date of the data range with format 'YYYY-MM-DD'. By default 'NULL' is used to represent 7 days prior to today's date
date_to	End date of data range with format 'YYYY-MM-DD'. By default 'NULL' is used to represent today's date
top_n	Specify number of qualitative values to show, by default 5

Value

ggplot chart object

Examples

df <- get_data(date_from = "2022-01-01", date_to = "2022-01-07")
plot_summary(
  df,
  var = "location", val = "new_cases", fun = "sum",
  date_from = "2022-01-01", date_to = "2022-01-13", top_n = 5
)

UBC-MDS/covizr documentation built on Feb. 7, 2022, 9:11 a.m.