It makes histograms out of Ruby data. How cool is that!? Pretty cool if you ask me.

Easily convert an array of values into a histogram.

gives objects the ability to 'histogram' in several useful ways

Adds #to_histogram to Array. Returns a histogram distribution object from an Array and optionally prints detailed info to stdout.

Aggregate is a Ruby class for accumulating aggregate statistics and includes histogram support. For a detailed README see: http://github.com/josephruscio/aggregate

Creates a Histogram fron an ActiveRecord query

Combine inputs data and make histogram which helps to detect a hotspot.

A suite for basic and advanced statistics on Ruby. Tested on CRuby 1.9.3, 2.0.0 and 2.1.1. See `.travis.yml` for more information. Include: - Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others). - Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and gamma. Tetrachoric and Polychoric correlation provides by statsample-bivariate-extension gem. - Intra-class correlation - Anova: generic and vector-based One-way ANOVA and Two-way ANOVA, with contrasts for One-way ANOVA. - Tests: F, T, Levene, U-Mannwhitney. - Regression: Simple, Multiple (OLS), Probit and Logit - Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors. - Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it. - Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu) - Sample calculation related formulas - Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+ - Creates reports on text, html and rtf, using ReportBuilder gem - Graphics: Histogram, Boxplot and Scatterplot.

Library to draw simple ASCII charts (x,y graph plots and histograms)

HdrHistogram is an algorithm designed for recording histograms of value measurements with configurable precision. Value precision is expressed as the number of significant digits, providing control over value quantization and resolution whilst maintaining a fixed cost in both space and time.

Quick 'n dirty histograms.

Gain insights into how you have improved over time. Has graphs, histograms, and other fancy stuff!

Simple histograms using cane

A few CLI and general utilities. Includes a numbered-menu select loop utility, a ANSI formatting escape code handler, a text-based histogram maker, k-means and n-means (k-means with minimum optimal k) calculators, various collection utility methods, and a utility for using OptionParser with less code.

Generate an ASCII histogram plot using the contents of a ruby Array.

Templates of boxplot, histogram, etc.

The statsd-rack-instrument gem enables a quick implementation of StatsD metrics. It adds metrics such as: rack_server_request_duration_seconds (histogram) and rack_server_exceptions_total (counter).

Fork of original charlotte-ruby impressionist gem, with added histogram functionality

This is an interface to quickly visualize data on the command line. It supports various kinds of plots (curves, bar diagram, histogram, 2D color, etc) that are presented as text output on the console.

Collect data, generate stats, draw histograms, send to Graphite, do stuff in Ruby.