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Histogram

A histogram is a visual representation of the distribution of quantitative data. To construct a histogram, the first step is to "bin" (or "bucket") the range of values— divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive, non-overlapping…

Applications, Etymology & Overview

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Overview

Etymology

Examples

Mathematical definitions

Applications

Advanced semantic analysis

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Map overview Semantic statistics

Histogram

Nodes52
Edges51
Triples59
Avg. degree1.96
Density0.038462
Components1

How this topic connects Entity context

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Histogram

Top relations

related to External links · 23
Histogram → Amelia McNamaraJourney To Work, Analysis, Aran Lunzer, Archived, Bin Size, Bin Width, Construction, Exploring Histograms, HistogramHistograms, Java, Matlab, Method, MS ExcelHistogram, Physics, Place Of Work, Practice, Selecting, Smooth, SOCRToolbox, Theory
related to Etymology · 13
Histogram → Alternatively, Ancient Greek, Both, Commercial, Greek, In, Karl Pearson, Pearson, Pearson's, Scottish, The, University College London, William Playfair
related to Number of bins and width · 7
Histogram → Graunt's, Grouping, Nonetheless, Sturges's, There, Thus, Using
related to Mathematical definitions · 4
Histogram → Histograms, The, This, Thus
has application · 3
Histogram → An, Digital, In
see also · 3
Histogram → Data, Diaconis, Mathematics
related to Cumulative histogram · 2
Histogram → Mi, That
related to Examples · 2
Histogram → The, This
is a · 1
Histogram → visual representation of the distribution of quantitative data
used for · 1
Histogram → probability density is always normalized to 1

Important terminology Word statistics

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Important terminology

bins data bin density number distribution rule displaystyle intervals histograms width used also function sturges's using different bar needed equal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Histogramis avisual representation of the distribution of quantitative data0.90text
Histogramused forprobability density is always normalized to 10.80text
Histogramhas applicationIn0.60section
Histogramhas applicationAn0.60section
Histogramhas applicationDigital0.60section
Histogramrelated to Cumulative histogramThat0.60section
Histogramrelated to Cumulative histogramMi0.60section
Histogramrelated to EtymologyThe0.60section
Histogramrelated to EtymologyKarl Pearson0.60section
Histogramrelated to EtymologyUniversity College London0.60section
Histogramrelated to EtymologyPearson's0.60section
Histogramrelated to EtymologyGreek0.60section

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    Min side: 3
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