Learn how to interpret and visualize your data properly!

points of view

The Points of View column in Nature Methods are short and sweet articles on how to best communicate your data. There are really great tips on how to make aesthetically-pleasing figures, but also tips on how to present your results in different (possibly better) ways.

The entire list of articles published can be found here:
Data visualization: A view of every Points of View column

(Unfortunately, Nature Methods is not open-access and requires a subscription).

After 3 years of monthly articles by Bang Wong and Martin Krzywinski, the column has now come to an end. It’s now being replaced with another very useful column: Points of Significance.

If the only significance test you know is the t-test, or you’re not sure what the difference between standard deviation and standard error of the mean is, the Points of Significance column should be able to get you up to scratch with the basic statistics required to be a scientist. (On a side note, more grad schools need to incorporate this into their syllabus!)

Points of significanceFigure 3: Size and position of s.e.m. and 95% CI error bars for common P values.

So far there are only 2 articles posted, but they will continue to be published on a monthly basis, with free viewing on the month of publication! So do check in regularly, usually at the end of every month 🙂


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