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.
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 …
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 …
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 …
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 …
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 …
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 …