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COVID-19 dashboard

March 11, 2020 By editor

Effective COVID-19 dashboard showing UK cases—from Public Health England.

Filed Under: General Tagged With: COVID-19, dashboard

COVID-19 epidemiology with R

March 6, 2020 By editor

Interesting, and timely, article on using R to analyse COVID-19 incidence data collated by John Hopkins University.

It makes use of two epidemiology packages.

  • earlyR for estimation of infectiousness, as measured by the reproduction number (R), in the early stages of an outbreak.

  • EpiEstim for estimating the time varying instantaneous reproduction number during epidemics

These packages, and many more, are part of the R Epidemics Consortium (RECON). They

[…] gather experts in data science, modelling methodology, public health, and software development to create the next generation of analytics tools for informing the response to disease outbreaks, health emergencies and humanitarian crises, using the R software and other free, open-source resources.

Filed Under: General Tagged With: COVID-19, epidemiology, R

Data visualisation design guidelines

July 28, 2019 By editor

As companies start to take data more seriously we are seeing more of them publishing data design guidelines. Three comprehensive examples are

  • Greater London Authority
  • Office for National Statistics
  • The Cato Institute

Consider adopting one of these if your organisation is just starting to get into data visualisation—or if your existing charts aren’t up to scratch.

Filed Under: Data analysis Tagged With: data-viz, visualization

Pandas in 8 pages

June 14, 2019 By editor

Pandas is a Python package for working with tabular data—as in a spreadsheet or database table. It provides similar functionality to R’s data frames.

As pandas is rich in features it can be difficult to remember all its operations and syntax, so Enthought have produced a visual guide to the package in 8 handy pages.

Filed Under: Data analysis, Data science Tagged With: data frame, pandas, python

Is it easier to learn R or Python?

June 7, 2019 By editor

Andy Kirk at Visualising Data ran a Twitter poll about the relative accessibility of R and Python to non-developers.

59% said that R was more accessible.

Obviously, the poll is far from scientific, but the comments he received reflect my own experiences of teaching both languages—such as the significance of the RStudio IDE and the tidyverse packages in getting people off the ground.

Filed Under: Data analysis, Data science Tagged With: learning, python, R

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