A little package that makes various information about Hamburg, Germany available in an easily accessible fashion.
] add Hamburg
using Hamburg
dataset(topic, dataset)
Since July 27, 2020:
Since August 10, the number of hospitalized patients from this source is also being stored.
Before July 27, 2020:
The number of deaths are not quite matching up between those two datasources, it seems that the RKI is reporting around 30 more people who died through COVID-19.
The numbers reported to the RKI are also delayed by one day, the time of recording has been moved back one day to align with the dates from hamburg.de.
Number of people infected by covid-19, recorded since July 27, 2020
dataset("covid-19", "infected")
Columns:
- deaths: Total number of deaths due to COVID-19
- new: New confirmed cases
- recordedat: Date of measurement
- recovered: Number of people recovered (not a precise number since people are not required to report recoveries)
- total: Total number of confirmed cases
- hospitalizations: Total number of hospitalized patients (due to covid 19), including the patients in intensive care
- intensivecare: Number of patients in intensive care due to covid 19
- first_vaccination: Number of people who received the first shot of the vaccine
- second_vaccination: Number of people who received the second shot of the vaccine
The number infected, by borough.
These are aggregated numbers, representing the cases for the last 7 days. This is so that the privacy of individuals can be guaranteed.
dataset("covid-19", "boroughs")
The distribution of age groups among the infected.
dataset("covid-19", "agegroups")
The dataset is used to show a color-coded dashboard:
There is an example notebook that digs a bit deeper into the data and visualizes it.
The datasets are also available as csv files, in case you want to use them separately:
The dataset sources will be checked for updates every day:
dataset("holidays", "school")
Columns:
- name: Name of the holiday
- start: Start date
- end: End date
Yes, absolutely! If you have an interesting dataset, be it favourite ramen places in hamburg, high/low tide times or anything else, go for it. Just make sure that you provide your sources.