The iframe
above displays some graphs I've built last week,
in order to get some insight on some GitHub projects issues & pull requests evolution.
They are directly inspired by nf-core project activity statistics.
An automatic system for rolling a polyhedral die and taking photos of the rolls; extracting the image of just the die from those images; clustering the images of the die by which face is shown; and analyzing the results.
Quelques essais de visualisation de données pour célébrer la fin de cette expérimentation de débat citoyen en ligne.
Première tentative, utilisant Charted, pour visualiser la répartition des nombre de votes toutes propositions confondues :
<iframe width="853" height="480" src="https://www.charted.co/?%7B%22dataUrl%22%3A%22http%3A%2F%2Fchezsoi.org%2Flucas%2Frepublique-numerique%2Fvotes_counts_frequencies_histogram.csv%22%2C%22seriesNames%22%3A%7B%221%22%3A%22freq_no%22%7D%2C%22charts%22%3A%5B%7B%22type%22%3A%22line%22%2C%22rounding%22%3A%22off%22%2C%22title%22%3A%22Positive%2FNegative%2FReserved%20votes%20count%20frequencies%20distribution%22%2C%22note%22%3A%22Data%20from%20republique-numerique.fr%20on%202015%2F10%2F18%20at%20midnight%22%7D%5D%7D" allowfullscreen></iframe>Exemple de lecture de ce graph: 33 propositions ont reçu exactement 8 votes positifs.
Ce graph n'apporte …
I often find myself grep
-ing for information in system or application log files. And often, by combining pipes, I end up generating a flow of values that is sometimes difficult to interpret.
In this post I'll show you a quick-and-dirty but handy solution to get basic statistical quantities from …