1,231 karma · joined March 17, 2012
https://ramiro.org
I created this tool to learn fretboard notes as well as chord and scale shapes. I also wanted to improve my knowledge of music theory so I wrote all code related to theory from scratch instead of using libraries. While the latter is only beneficial for me, I hope that others find this tool useful for making music. I'd love to get your feedback.
One issue I'm aware of is that for non-diatonic scales (e.g. minor pentatonic) the shown triads are not correct. I just leave the triads for the last selected diatonic scale. What would you do? Hide them?
There are arguments against using continuous scales:
* By using classes (e. g. quantiles) you can reduce the impact of outliers. On a continuous scale an outlier can cause everything else to be perceived as one color.
* Perception of color intensity is not strictly linear.
For some more details, check out this answer on StackExchange http://gis.stackexchange.com/a/86679/24164
By default, as fas as my experience goes, charts will fit the containing element, if width and height of the chart are not set explicitly.
That's simply wrong. If you use libraries like D3.js, that contain non-ASCII characters in the source code, and you do local development with a server that sends no encoding headers or even without using a server at all, your code won't work.
You find the graphs and some more info at the following URLs:
- http://exploringdata.github.io/vis/npm-packages-dependencies... (takes a while to load, use Chrome or another Webkit browser)
- http://exploringdata.github.io/vis/npm-top-packages-dependen... (includes only packages with at least 10 dependent packages)
- http://exploringdata.github.io/info/npm-packages-dependencie... (info post)
I've never used a .desktop file for atom and had no problems launching it until a recent update from the master repo. Guess I'll try installing the PPA package to see if that works.
Right now I cannot even launch it. I didn't install it from the PPA though, but from a recent commit.
I think it is extremely hard to come up with a measurement for quality of life, but there are attempts to do it, e. g. the OECD Better Life Index http://www.oecdbetterlifeindex.org/
But then too many factors can be overwhelming and hard to visualize. While the flower like shapes in the OECD example look nice, I find it hard to draw any conclusions from them.
The median income is often closer to what most people actually earn than the mean for example. I'm pretty sure the data people at Bloomberg had good reasons to chose these figures.
Representing a brand through a bot, can hurt your business more than it helps.