Extract Aggregated Weekly Generic Data

get_aggregated_data() performs data transformation in the following steps:

1. Group the weekly or daily data by date.

2. Aggregate the number of confirmed cases by either day or week.

3. Select only the date and confirmed cases column.

4. Filter the data by given start and end date

The input dataframe generic_data must have the following columns:

• <date name>: date column (e.g. as.Date('2022-01-01')).

• <cases count name>: Confirmed Cases Count (e.g. 1, 2, ...).

Note that these columns can be defined in a generic name, and inputted as the other two function parameters for data transformation (date_column, number_column)

Assume the date column is the start of the epiweek.

Usage

get_aggregated_data(
  generic_data,
  date_column,
  number_column,
  start_date = NULL,
  end_date = NULL,
  unit = "day"
)

Arguments

generic_data

the weekly generic data from get_data()

date_column

date column name str

number_column

cases count column name str

start_date

start date string (e.g. '2022-01-01')(optional, default is NULL)

end_date

end date string (e.g. '2022-12-31')(optional, default is NULL)

unit

aggregation unit "day" or "week"

Value

aggregated weekly data of the generic confirmed cases data (filtered by date if any)

date

Either day or week date

confirm

number of confirmed cases

Examples

sim_data <- simulate_data()
aggregated_data <- get_aggregated_data(
  sim_data,
  "date", "flu_a", "2024-10-16", "2024-12-31"
)