Marius D. Pascariu

For convenience I am attaching here last available data as of today. [ISR_corona_age_and_gender_ver_0073_2021-02-16.zip](https://github.com/timriffe/covid_age/files/5997846/ISR_corona_age_and_gender_ver_0073_2021-02-16.zip)

Hi @eshom. The dashboard is great! I am very happy to hear the good news from you. And yes, I've noticed the limitations of the data. Thanks for your work...

In fact it is not an isolated event. I can see this in California and Florida too.

Is it possible to be a date formatting issue?

Thanks Tim! Here's a view over all US states: ```r library(tidyverse) p % mutate(Date = as.Date(Date, format = "%d.%m.%Y"), Age = as.factor(Age)) %>% arrange(Date) %>% filter(Sex == "b", Country ==...

Hi @timriffe, I can see that most of the data for the states of Iowa, California and Washington disappeared altogether from 07-01-2021 version of the database. Only few weeks of...

California and Washington look good on 08-01-2021, however Iowa data still displays major gaps between June and September. On December 9 I was able to produce this:  Today I...

ok, great!

The monotonicity issues can be extended at the country level for the entire database not only for the US regions. This issue has been spotted in various countries. But maybe...

In my analyses I am also applying linear interpolation if the gap of missing data is small (1 or 2 time intervals). Since I am mostly working with weekly data...