COVID19 Data scraped from global sources

A very conprehensive collection of automatically scraped data.

coronadatascraper.com-covid19-1.1.10. Modified 2020-04-04T02:21:03

Resources | Packages | Documentation| Contacts| Data Dictionary

Resources

  • source_tidy. Data file directly from the source website, with one row for each type of observation.
  • source. Data file directly from source website, with one row per region per day and one type of observation per column.

Documentation

The Corona Data Scraper scrapes data from a wide variety of sources to produce a dataset with both global scope and regional granularity. See the project page for more details.

  • homepageProject homepage, sith links to files and documentation

Contacts

Packages

Accessing Packages in Metapack

import metapack as mp
pkg = mp.open_package('http://library.metatab.org/coronadatascraper.com-covid19-1.1.10.zip')

# Create Dataframes

source_tidy_df = pkg.resource('source_tidy').dataframe()
source_df = pkg.resource('source').dataframe()

Data Dictionary

source_tidy | source

source_tidy

Column NameData TypeDescription
nametext
levelstring
citystringCity Name
countystringCounty Name
statetextState Name
countrystringCountry code
populationintegerTotal population of the region
latnumberLatitude
longnumberLongitude
aggregatestring
tzstring
datedateObservation Date
typestringType of observation: cases, deaths, recovered or active
valuenumberValue of the observatoin.

source

Column NameData TypeDescription
nametext
levelstring
citystringCity Name
countystringCounty Name
statetextState Name
countrystringCountry code
populationnumberTotal population of the region
latnumberLatitude
longnumberLongitude
urlstringSource Url
aggregatestring
tzstring
casesintegerSum of deaths, recoveries and active.
deathsintegerCumulative number of deaths
recoveredintegerCumulative number of recoveries
activeintegerCumulative number of active confirmed infections.
testedintegerNumber tested
growthfactornumberGrowth factor, compared to previous observation. 1+ growth rate
datedateObservation Date

Packages

Accessing Packages in Metapack

import metapack as mp
pkg = mp.open_package('http://library.metatab.org/coronadatascraper.com-covid19-1.1.10.zip')

# Create Dataframes

source_tidy_df = pkg.resource('source_tidy').dataframe()
source_df = pkg.resource('source').dataframe()