A lot of time was spent in 2020 looking at daily covid numbers, which was getting overwhelming. Having taken a break for a while, this article combines covid data and vaccination data with population data to present a view of the countries with the highest deaths from Covid-19 and the vaccination status in the country.
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The daily counts of confirmed cases or deaths from COVID-19 can fluctuate greatly from day to day. This can be down to time factors such as week day vs weekend or delays in testing or gathering and collating results. A rolling average is a calculated average of different subsets of the full data set. It is used to …
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The total number of cases of COVID-19 and deaths from COVID-19 in a country will vary based on a number of factors. It does not seem right to compare absolute numbers in different countries, where the populations of those countries varies greatly. This article will show how to take the absolute numbers and express the …
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Display two sets of data on the same chart when the data ranges are different, such as the confirmed cases of COVID-19 and deaths from COVID-19. COVID-19 is the disease caused by a new coronavirus (SARS-CoV-2) that the World Health Organisation (WHO) declared a pandemic in March 2020. This article will show how to …
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COVID-19 is the disease caused by a new coronavirus called SARS-CoV-2. World Health Organisation (WHO) first learned of the virus on 31 December 2019. The WHO declared the coronavirus outbreak a pandemic in March 2020. This article will show how to create an interactive line chart with plotly, showing the changes in …
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Plotly is an open-source graphing library for Python that is used to create interactive chart. Each chart displays a toolbar on the top right of the chart that contains a set of buttons to interact with the chart. These buttons provide functionality such as download an image of the chart, zoom in and out, pan, reset …
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Pandas is great for searching, filtering and manipulating data and information can be visualised in charts easily using Matplotlib module. These charts are static and provide a snapshot of data that can be annotated to highlight certain data points. These are great for posters, slides and printed materials. It would be …
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