Initially, i really appreciated the way Last.FM would chart my listening behavior. It provided new insights into my music consumption that were unavailable in iTunes. Over time, they became less interesting. The trapped-in-time snapshots fail to provide me with any additional insight into my behavior. So I decided to take a look at some tools that use your Last.fm data to make it more personal and insightful.
There has been a ton of buzz regarding Lee Byron’s beautiful histograms of Last Fm data. His inclusion of the time element has the power to elicit a strong personal connection to your listening history. As you explore the histogram, you can see how preferences change over time an how one could map that data to personal events. Unfortunately, Mr. Byron does not provide a means to generate your own histogram.
Inspired by Byron’s work, this is a tool that provides a simple visualization listening habits over time, derived from weekly Last.fm artist charts. Chart Stream does not allow you to view your own data though has a number of nice examples.
More promising is LastGraph, which looks like it will generate a Byron-esque histogram based on your Last.fm profile. However, when I went to use the tool, there were no rendering nodes currently online. I’ll need to check back after the holiday is over.
Your Last.fm in Time
Another tool for visualizing behavior over time. Unlike the others, it graphs artists based on total cumulative playcounts. Though not as useful or immersive as a histogram, it does provide some interesting insights into behavior.
This is a very cool Greasemonkey script that inserts chart position changes directly into your Last.Fm charts.
Displays historical data from the overall charts as charts and diagrams. And it calculates and displays the chart changes over a period of time. You need to request an account to see your own data.
How Do You Listen to Music?
This a a very interesting tool that provides some very insightful behavioral statistics and charts.
Extended Last.fm Stats
Just type in your Last.fm username and a date range and this tool will return tons of interesting artist stats such as playcounts, weeks in charts, and chart positions.
The Mainstream-O-Meter calculates your mainstreamness by comparing the listener count of your favorite bands to the average listener count of the five bands who have the most listeners among Last.fm-users.
Musical Taste Meter
The script lists the users top 20 overall artists and lists the 8 most similar artists to each one, then delete’s any repeated artists. The idea is to see how varied your taste is, a score of 9 is extremely unvaried while 160 represents an extremely varied one.
AEP is a measure of how diverse your music tastes are, based on the top 50 artists in your Last.fm profile.
A script that computes your eclectic score based on the 20 top artists in your musical profile from Last.fm.
Compare two Last.fm users, based on their personal musical tag clouds. This approach is different from the approach used by Last.fm, where users in the population are compared based on the common artists in their playlist.
Personal Tag Cloud
Generates a genre-based tag cloud based on your top artists within a specific time frame. there is also a tool to generate a cloud of recommended artists.
Response: Colomarine 98 postall about Colomarine and top news