histograms.fsx

(**
---
title: Histograms
category: Distribution Charts
categoryindex: 5
index: 1
---
*)


(*** hide ***)

(*** condition: prepare ***)
#r "nuget: Newtonsoft.JSON, 13.0.1"
#r "nuget: DynamicObj, 2.0.0"
#r "nuget: Giraffe.ViewEngine.StrongName, 2.0.0-alpha1"
#r "../../src/Plotly.NET/bin/Release/netstandard2.0/Plotly.NET.dll"

Plotly.NET.Defaults.DefaultDisplayOptions <-
    Plotly.NET.DisplayOptions.init (PlotlyJSReference = Plotly.NET.PlotlyJSReference.NoReference)

(*** condition: ipynb ***)
#if IPYNB
#r "nuget: Plotly.NET, {{fsdocs-package-version}}"
#r "nuget: Plotly.NET.Interactive, {{fsdocs-package-version}}"
#endif // IPYNB

(** 
# Histograms

[![Binder]({{root}}img/badge-binder.svg)](https://mybinder.org/v2/gh/plotly/plotly.net/gh-pages?urlpath=/tree/home/jovyan/{{fsdocs-source-basename}}.ipynb)&emsp;
[![Notebook]({{root}}img/badge-notebook.svg)]({{root}}{{fsdocs-source-basename}}.ipynb)

*Summary:* This example shows how to create a one-dimensional histogram of a data samples in F#.

Let's first create some data for the purpose of creating example charts:

*)


open Plotly.NET

let rnd = System.Random()

let x =
    [ for i = 0 to 500 do
          yield rnd.NextDouble() ]

(**
A histogram consisting of rectangles whose area is proportional to the frequency of a variable and whose width is equal to the class interval.
The histogram chart represents the distribution of numerical data and can be created using the `Chart.Histogram` function:.
*)

let histo1 = Chart.Histogram(X = x) |> Chart.withSize (500., 500.)

(*** condition: ipynb ***)
#if IPYNB
histo1
#endif // IPYNB

(***hide***)
histo1 |> GenericChart.toChartHTML
(***include-it-raw***)