International Concert Jazz Pianist
Today I wrote 5 articles giving quick summaries, findings and tips for your fun experience at the “Jazz Standards Statistics“.
Here to list them:
(0) Jazz Standards Statistics : Preface
(1) Meta Level Info
(2) Chord Quality
(3) Tensions
Continue reading “Jazz Standards Statistics : Table of Contents”For “Chord Progression in Major Key Songs” and “Chord Progression in minor Key Songs” menu in “Jazz Standards Statistics“, I’d like just to share some explanation or tips of the dashboard for the sake of your better experience.
Here to share a quick summary and findings from “Tension” menu of “Jazz Standards Statistics“.
For tension chord analysis, we have several viewpoints; “where” tension chord appears, “what chord quality” have more tensions, “which tension” is used, etc. For example 5_7(#9) chord is, dominant 7th chord (“what chord quality”) occurring at 5 (“where”) with #9 (“which tension”). This time, firstly let’s have a look on “what chord quality” and “which tension”, in comparison between Major key songs and minor one.
Here to share a quick summary and findings from “Chord Quality” menu of “Jazz Standards Statistics“.
For this analysis, each chord root is interpreted as a relative number based on key-signature of the song, also, tensions are ignored. Here are histograms of chords appearing in Major key songs and minor key songs.
Here to share quick summaries and some findings from “Meta level Info” menu “Jazz Standards Statistics“.
(1) Key Signature
The most common key is… F major. Out of 1350 songs, 240 songs are in F (17.8%). This could be expected since we have many F blues. Then followed by Bb blues? It’s actually at 4th place, with 13%. The 2nd and 3rd places were taken by C (17.4%) and Eb (15.1%). After 4th place, followed by G (8.4%), Ab (5.6%)… and the least often key is F#m which has NO songs.
Continue reading “Meta Level Info”Two weeks ago, I decided to finally start my personal project “Jazz meets Tech”, which actually has a long dreamful roadmap, maybe I’ll talk about it later. Anyway the 1st step of the project was to create database. As a data source I used every-jazz-musicians’-friend app iRealPro. From a playlist, I collected 1350 files and made it into database. Then I visualized the dataset, and the outcome was really interesting. More precisely, I didn’t expect it would be such pure fun to have an overview of jazz standards. Thus I decided to share this dashboard with everyone, and also to share the progress of my “Jazz meets Tech” here. Anyway, here is the link. Hope you enjoy 🙂