A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from http://reference.wolfram.com/language/guide/StatisticalVisualization.html below:

Statistical Visualization—Wolfram Language Documentation

Statistical Visualization—Wolfram Language Documentation WOLFRAM Products

More mobile apps

Core Technologies of Wolfram Products Deployment Options From the Community Consulting & Solutions

We deliver solutions for the AI era—combining symbolic computation, data-driven insights and deep technology expertise.

WolframConsulting.com

Wolfram Solutions

More Wolfram Solutions

Wolfram Solutions For Education

More Solutions for Education

Learning & Support Get Started More Learning Grow Your Skills Tech Support Company Work with Us Educational Programs for Adults Educational Programs for Youth Read Educational Resources Wolfram Initiatives Events Wolfram|Alpha Wolfram Cloud Your Account Search Navigation Menu Wolfram Language & System Documentation Center Wolfram Language Home Page » GUIDE Statistical Visualization

Statistical visualization is used to understand how data is distributed and how that compares to other datasets and distributions. Histograms and smooth histograms both effectively estimate the various distribution functions, either through binning or smoothing. Quantile and related plots compare data to a reference distribution. Box-and-whisker and distribution charts compare a number of data distributions to each other. All the statistical visualization functions provide high levels of automation of aesthetics and statistical computations including automatic bin selection, bandwidth determination, and distribution parameter estimation. All functions also give detailed access to customize both aesthetics and statistical computations.

Distribution Shapes

Histogram plot a histogram of data

SmoothHistogram plot a density estimate of data

Histogram3D  ▪  SmoothHistogram3D  ▪  DensityHistogram
SmoothDensityHistogram  ▪  PairedHistogram  ▪  PairedSmoothHistogram

BarSpacing  ▪  BarOrigin  ▪  GridLines  ▪  ScalingFunctions  ▪  ...

Distribution Fits

QuantilePlot quantile-quantile plot of data or distributions

ProbabilityPlot probability-probability plot of data or distributions

ProbabilityScalePlot normal plot, Weibull plot, Gumbel plot, etc.

ReferenceLineStyle  ▪  ScalingFunctions  ▪  GridLines  ▪  ...

Distribution Comparisons

BoxWhiskerChart box-and-whisker chart of multiple datasets

DistributionChart distribution chart of multiple datasets

BarSpacing  ▪  BarOrigin  ▪  ChartElementFunction  ▪  ScalingFunctions  ▪  ...

Charting »

BarChart  ▪  PieChart  ▪  BubbleChart  ▪  ...

Data Visualization »

ListPlot  ▪  ListPlot3D  ▪  ListContourPlot  ▪  ...

Date & Time Visualization »

DateListPlot  ▪  TimelinePlot  ▪  DateHistogram  ▪  ...

Function Visualization »

Plot  ▪  Plot3D  ▪  DiscretePlot  ▪  DiscretePlot3D  ▪  ContourPlot  ▪  ...

Geographic Visualization »

GeoListPlot  ▪  GeoHistogram  ▪  GeoSmoothHistogram  ▪  ...

Related Workflow Guides Related Guides Related Links Top

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4