Sometimes I want to look at homogeneous attributes (e.g. counts for each item but spread out across multiple dimensions, e.g. years, days of the week, experimental conditions, etc.) and in those cases the scaling applied in combined columns is very confusing (because the default mapping will map the max of each column to 1, no matter what the max values are in other columns).
If LineUp would support a count mode and appropriate scaling/mapping techniques (e.g. scale to total per row, scale to max per column, scale to max per row, etc.) that can be easily applied to all columns of a combined column, it would be much more intuitive to work with such data in LineUp. The default behavior that assumes a different data type or range for each column easily leads to confusion.
Here is an example data set: https://gist.github.com/anonymous/836fe14223dc29d7d63837ceb3c49e25
http://www.caleydo.org/lineup.js/demo/#gist:836fe14223dc29d7d63837ceb3c49e25
Sometimes I want to look at homogeneous attributes (e.g. counts for each item but spread out across multiple dimensions, e.g. years, days of the week, experimental conditions, etc.) and in those cases the scaling applied in combined columns is very confusing (because the default mapping will map the max of each column to 1, no matter what the max values are in other columns).
If LineUp would support a count mode and appropriate scaling/mapping techniques (e.g. scale to total per row, scale to max per column, scale to max per row, etc.) that can be easily applied to all columns of a combined column, it would be much more intuitive to work with such data in LineUp. The default behavior that assumes a different data type or range for each column easily leads to confusion.
Here is an example data set: https://gist.github.com/anonymous/836fe14223dc29d7d63837ceb3c49e25
http://www.caleydo.org/lineup.js/demo/#gist:836fe14223dc29d7d63837ceb3c49e25