calculate_columns_from_existing_data

data

<p>Checks which columns are missing (cumulative/daily counts) and
if one is present and the other not then calculates the second from the
first.</p>

An interface to subnational and national level COVID-19 data
sourced from both official sources, such as Public Health England in
the UK, and from other COVID-19 data collections, including the World
Health Organisation (WHO), European Centre for Disease Prevention and
Control (ECDC), John Hopkins University (JHU), Google Open Data and
others. Designed to streamline COVID-19 data extraction, cleaning, and
processing from a range of data sources in an open and transparent
way. This allows users to inspect and scrutinise the data, and tools
used to process it, at every step. For all countries supported, data
includes a daily time-series of cases. Wherever available data is also
provided for deaths, hospitalisations, and tests. National level data
are also supported using a range of sources as well as line list data
and links to intervention data sets.

Sam Abbott 

covidregionaldata

Subnational Data for COVID-19 Epidemiology

Joseph Palmer

Katharine Sherratt

Richard Martin-Nielsen

Jonnie Bevan

Hamish Gibbs

Hugo Gruson

Sophie Meakin

Joel Hellewell

Patrick Barks

Paul Campbell

Flavio Finger

Richard Boyes

Vang Le

Sebastian Funk

calculate_columns_from_existing_data function

Cumulative counts from daily counts or daily counts from cumulative,
dependent on which columns already exist — calculate_columns_from_existing_data

Cumulative counts from daily counts or daily counts from cumulative,
dependent on which columns already exist

calculate_columns_from_existing_data: Cumulative counts from daily counts or daily counts from cumulative, dependent on which columns already exist

Description

Usage

Arguments

Value

See Also