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marcosci
cividis
R2018–2019
marcosci / cividis

cividis

Cividis color scale for R

2Distinct people
2Mentions
0Explicit recommenders
45GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Cividis color scale for R

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month2 dated mentions

Observed mentions: 2018-08-02 17:05:06 UTC to 2019-08-21 05:18:16 UTC.

012018-08-01 00:00:00 UTC to 2018-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 20182018-09-01 00:00:00 UTC to 2018-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-10-01 00:00:00 UTC to 2018-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-11-01 00:00:00 UTC to 2018-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-12-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2019-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-02-01 00:00:00 UTC to 2019-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 20192019-03-01 00:00:00 UTC to 2019-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-04-01 00:00:00 UTC to 2019-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-05-01 00:00:00 UTC to 2019-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-01 00:00:00 UTC to 2019-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-01 00:00:00 UTC to 2019-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-08-01 00:00:00 UTC to 2019-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 2019

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Aug 20182018-08-01 00:00:00 UTC2018-09-01 00:00:00 UTC101
Sep 20182018-09-01 00:00:00 UTC2018-10-01 00:00:00 UTC000
Oct 20182018-10-01 00:00:00 UTC2018-11-01 00:00:00 UTC000
Nov 20182018-11-01 00:00:00 UTC2018-12-01 00:00:00 UTC000
Dec 20182018-12-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
Jan 20192019-01-01 00:00:00 UTC2019-02-01 00:00:00 UTC000
Feb 20192019-02-01 00:00:00 UTC2019-03-01 00:00:00 UTC000
Mar 20192019-03-01 00:00:00 UTC2019-04-01 00:00:00 UTC000
Apr 20192019-04-01 00:00:00 UTC2019-05-01 00:00:00 UTC000
May 20192019-05-01 00:00:00 UTC2019-06-01 00:00:00 UTC000
Jun 20192019-06-01 00:00:00 UTC2019-07-01 00:00:00 UTC000
Jul 20192019-07-01 00:00:00 UTC2019-08-01 00:00:00 UTC000
Aug 20192019-08-01 00:00:00 UTC2019-09-01 00:00:00 UTC101

What Hacker News says

2 sources
Some time ago I looked into this topic, and in my opinion the blog post misses two points: (1) Conversion to gray scale won't be good because the scale is not linear, which is important for printing, and (2) In Jet (and also, Turbo), high and low values of a measurement don't map well to colors. This is well described in the paper introducing cividis [1] (check out [2] for code). [1]: https://arxiv.org/ftp/arxiv/papers/1712/1712.01662.pdf [2]: https://github.com/marcosci/cividis
In Turbo, an Improved Rainbow Colormap for Visualization
And yesterday a paper explaining the process of creating Cividis, an even more CVD friendly iteration, was published on plos.org[0]. It's already in Matplotlib, and available for R[1]. (I submitted it yesterday but it didn't get much traction[2], which makes sense given how specific it is) [0] http://journals.plos.org/plosone/article?id=10.1371%2Fjourna... [1] https://github.com/marcosci/cividis [2] https://news.ycombinator.com/item?id=17667572
In A friendly guide to colours in data visualisation

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