Possibly wrong new year assigned in input - Wisconsin case

[timriffe]

Possibly wrong new year assigned in input - Wisconsin case

[timriffe]

Thanks @kikeacosta is adjusting the script just now. If you see more let us know. We realized yesterday some scripts (older ones) were hard coded to 2020, shouldn't take long to take care of this.

[mpascariu]

Hi @kikeacosta and @timriffe
This issue can still be seen for the state of Oregon, however only for January 4.

library(lubridate)
library(tidyverse)

coverage <- read_csv(
  file = "data/Output_10_20210108.zip",
  skip = 3) %>% 
  mutate(Date = as.Date(Date, format = "%d.%m.%Y"),
         mth = month(Date)) %>% 
  filter(Region == "Oregon",
         Sex == "b",
         mth == 1) %>% 
  arrange(Date) %>% 
  print(n = Inf)

# A tibble: 33 x 11
   Country Region Code            Date         Age AgeInt Sex     Cases Deaths Tests   mth
   <chr>   <chr>  <chr>           <date>     <dbl>  <dbl> <chr>   <dbl>  <dbl> <lgl> <dbl>
 1 USA     Oregon US_OR04.01.2020 2020-01-04     0     10 b      5505.     0   NA        1
 2 USA     Oregon US_OR04.01.2020 2020-01-04    10     10 b     12562.     0   NA        1
 3 USA     Oregon US_OR04.01.2020 2020-01-04    20     10 b     24968.     2   NA        1
 4 USA     Oregon US_OR04.01.2020 2020-01-04    30     10 b     20933.    13   NA        1
 5 USA     Oregon US_OR04.01.2020 2020-01-04    40     10 b     18616.    27   NA        1
 6 USA     Oregon US_OR04.01.2020 2020-01-04    50     10 b     15220.    93   NA        1
 7 USA     Oregon US_OR04.01.2020 2020-01-04    60     10 b     10112.   214   NA        1
 8 USA     Oregon US_OR04.01.2020 2020-01-04    70     10 b      5970.   373   NA        1
 9 USA     Oregon US_OR04.01.2020 2020-01-04    80     10 b      2871.   387.  NA        1
10 USA     Oregon US_OR04.01.2020 2020-01-04    90     10 b      1679    390.  NA        1
11 USA     Oregon US_OR04.01.2020 2020-01-04   100      5 b        17.6    6.4 NA        1
12 USA     Oregon US_OR05.01.2021 2021-01-05     0     10 b      5545.     0   NA        1
13 USA     Oregon US_OR05.01.2021 2021-01-05    10     10 b     12662.     0   NA        1
14 USA     Oregon US_OR05.01.2021 2021-01-05    20     10 b     25199.     2   NA        1
15 USA     Oregon US_OR05.01.2021 2021-01-05    30     10 b     21101.    13   NA        1
16 USA     Oregon US_OR05.01.2021 2021-01-05    40     10 b     18772.    29   NA        1
17 USA     Oregon US_OR05.01.2021 2021-01-05    50     10 b     15359     98   NA        1
18 USA     Oregon US_OR05.01.2021 2021-01-05    60     10 b     10202.   221   NA        1
19 USA     Oregon US_OR05.01.2021 2021-01-05    70     10 b      6031.   381   NA        1
20 USA     Oregon US_OR05.01.2021 2021-01-05    80     10 b      2902.   397.  NA        1
21 USA     Oregon US_OR05.01.2021 2021-01-05    90     10 b      1696.   402.  NA        1
22 USA     Oregon US_OR05.01.2021 2021-01-05   100      5 b        17.8    6.7 NA        1
23 USA     Oregon US_OR06.01.2021 2021-01-06     0     10 b      5571.     0   NA        1
24 USA     Oregon US_OR06.01.2021 2021-01-06    10     10 b     12726.     0   NA        1
25 USA     Oregon US_OR06.01.2021 2021-01-06    20     10 b     25337.     2   NA        1
26 USA     Oregon US_OR06.01.2021 2021-01-06    30     10 b     21256.    13   NA        1
27 USA     Oregon US_OR06.01.2021 2021-01-06    40     10 b     18898.    29   NA        1
28 USA     Oregon US_OR06.01.2021 2021-01-06    50     10 b     15453.    99   NA        1
29 USA     Oregon US_OR06.01.2021 2021-01-06    60     10 b     10266    224   NA        1
30 USA     Oregon US_OR06.01.2021 2021-01-06    70     10 b      6071.   382   NA        1
31 USA     Oregon US_OR06.01.2021 2021-01-06    80     10 b      2921.   397.  NA        1
32 USA     Oregon US_OR06.01.2021 2021-01-06    90     10 b      1706.   405.  NA        1
33 USA     Oregon US_OR06.01.2021 2021-01-06   100      5 b        17.8    6.8 NA        1

[timriffe]

fixed!