calculate_stat_summary.Rd
Create summary information about the covid in each province of Canada
calculate_stat_summary(df, column)
data.frame containing covid data to summarize
the column name to summarize
data.frame containing summary information.
covid_df <- get_covid_data()
calculate_stat_summary(covid_df,'cases')
#> province start_date end_date count sd min max mean quantile_25
#> 1 Alberta 2020-01-25 2022-01-30 737 1349.10 0 17577 661 18
#> 2 BC 2020-01-25 2022-01-30 737 807.77 0 9332 434 0
#> 3 Manitoba 2020-01-25 2022-01-30 737 436.47 0 7083 161 1
#> 4 NL 2020-01-25 2022-01-30 737 129.75 0 1873 22 0
#> 5 NWT 2020-01-25 2022-01-30 737 31.58 -4 314 7 0
#> 6 New Brunswick 2020-01-25 2022-01-30 737 137.24 -2 2548 38 0
#> 7 Nova Scotia 2020-01-25 2022-01-30 737 157.65 -1 1184 51 0
#> 8 Nunavut 2020-01-25 2022-01-30 737 10.14 0 140 2 0
#> 9 Ontario 2020-01-25 2022-01-30 737 2901.28 0 35287 1409 202
#> 10 PEI 2020-01-25 2022-01-30 737 46.69 0 407 10 0
#> 11 Quebec 2020-01-25 2022-01-30 737 2329.72 -90 17122 1166 158
#> 12 Repatriated 2020-01-25 2022-01-30 737 0.20 0 4 0 0
#> 13 Saskatchewan 2020-01-25 2022-01-30 737 251.78 0 1979 159 8
#> 14 Yukon 2020-01-25 2022-01-30 737 16.12 0 197 4 0
#> quantile_50 quantile_75 current_value
#> 1 206 773 0
#> 2 72 580 0
#> 3 52 170 0
#> 4 0 3 0
#> 5 0 0 0
#> 6 3 16 274
#> 7 2 17 425
#> 8 0 0 122
#> 9 548 1549 1103
#> 10 0 1 0
#> 11 650 1093 2838
#> 12 0 0 0
#> 13 71 220 1347
#> 14 0 1 0