Data DNA - Dataset Challenge

Welcome to Data DNA – Dataset Challenge!

Data DNA is your monthly learning and development appointment with yourself and hundreds of passionate data people. For free!

Join us every month to work with a given data set and create better, more effective data visualizations, analysis and help us make information more accessible.

The Data DNA community comes together every month from around the globe and we would love for YOU to become part of it, too.

 

Win £50 Amazon Voucher!

A winning entry will be chosen based on best visualization and successfully following the entry rules – winning a £50 Amazon voucher code!
The top 5 entries will also receive 2 data books from our sponsors Packt!

How to submit your entry:

    • Follow Onyx Data on LinkedIn
    • Share a LinkedIn post that contains both a direct @ mention to @Onyx Data, and the hashtag #dataDNA (it’s OK if you already follow Onyx Data)
    • In your post, share an image of your visualization or dashboard (remember, it must be a single image)
    • Tag, mention, and invite 5 connections to view your post or play along

Covid-19 Dataset

The complete COVID-19 dataset is a collection of the COVID-19 data maintained by Our World in Data.
It is updated daily and includes data on confirmed cases, deaths,
hospitalizations, testing, and vaccinations as well as other variables
of potential interest.

 

The data you find here and the data sources

  • Confirmed cases and deaths: our data comes from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). We discuss how and when JHU collects and publishes this data here. The cases & deaths dataset is updated daily. Note:
    the number of cases or deaths reported by any institution—including
    JHU, the WHO, the ECDC and others—on a given day does not necessarily
    represent the actual number on that date. This is because of the long
    reporting chain that exists between a new case/death and its inclusion
    in statistics. This also means that negative values in cases and
    deaths can sometimes appear when a country corrects historical data,
    because it had previously overestimated the number of cases/deaths.
    Alternatively, large changes can sometimes (although rarely) be made to a
    country’s entire time series if JHU decides (and has access to the
    necessary data) to correct values retrospectively.
  • Hospitalizations and intensive care unit (ICU) admissions: our data comes from the European Centre for Disease Prevention and Control (ECDC) for a select number of European countries; the government of the United Kingdom; the Department of Health & Human Services for the United States; the COVID-19 Tracker
    for Canada. Unfortunately, we are unable to provide data on
    hospitalizations for other countries: there is currently no global,
    aggregated database on COVID-19 hospitalization, and our team at Our World in Data does not have the capacity to build such a dataset.
  • Testing for COVID-19: this data is collected by the Our World in Data team from official reports; you can find further details in our post on COVID-19 testing, including our checklist of questions to understand testing data, information on geographical and temporal coverage, and detailed country-by-country source information. The testing dataset is updated around twice a week.
  • Vaccinations against COVID-19: this data is collected by the Our World in Data team from official reports.
  • Other variables: this data is collected from a
    variety of sources (United Nations, World Bank, Global Burden of
    Disease, Blavatnik School of Government, etc.). More information is
    available in our codebook.

 

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