llquantize - Log/linear quantization

For more information on log/linear quantization, see this blog post.

To summarize: log/linear quantization addresses the problem of using the wrong aggregation resolution, which leads to "clogging the system with unnecessarily fine-grained data, or discarding valuable information in overly coarse-grained data".

It does this by logarithmically aggregating by order of magnitude, but linearly aggregating within an order of magnitude.

Example

var llquantize = require('llquantize')
  , llq = llquantize()

// Input some data points.
llq(0.54); llq(0.55)
llq(2);    llq(3)
llq(12);   llq(14)
llq(24)
llq(124);  llq(199)

// Get the accumulated data.
llq()
// =>
// { "0.5": 2
// , "2":   1
// , "3":   1
// , "10":  2
// , "20":  1
// , "100": 2
// }

As you can see, the closer to zero the data points approach, the greater the precision used to track/group them (and vice-versa).

API

llquantize([bucket_size=10, [steps=10]])

Arguments:

• bucket_size - The factor by which the bucket size should increase. (i.e. the first bucket will have the size bucket_size, the next will be bucket_size^2...)
• steps - The number of divisions per bucket,

Installation

$ npm install llquantize

License

MIT