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Histogram Rendering using SigmaXL

Histograms

A histogram is a graphical tool to present the distribution of the data. These plots are used to better understand how values occur in a given set of data. The X axis   represents the possible values of the variable and the Y axis represents the frequency of the value occurring. This graphical tool consists of adjacent rectangles erected over intervals with heights equal to the frequency density of the interval. The total area of all the rectangles in a histogram is the number of data values.

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Fig 1.0 Simple Histogram Example

A histogram can also be normalized. In the case of normalization, the X axis still represents the possible values of the variable, but the Y axis represents the percentage of observations that fall into each interval on the X axis. The total area of all the rectangles in a normalized histogram is 1. When using this type of graph, we have a better understanding of the shape, location, and spread of the data.

How to Use SigmaXL to Generate a Histogram,

Data File: “Histogram” tab in “Sample Data.xlsx”
Steps in SigmaXL:
1. Select the entire range of data.
2. Click SigmaXL -> Graphical Tools -> Histograms & Descriptive Statistics

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Fig 1.1 SigmaXL > Graphical Tools > Histograms & Descriptive Statistics

3. A new window named “Histograms & Descriptive” pops up with the selected range of data appearing in the box under “Please select your data”

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Fig 1.2  Data dialog box

4. Click “Next>>”
5. A new window named “Histograms & Descriptive Statistics” appears

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Fig 1.3 Histogram variable selection dialog box

6. Select “HtBk” as the “Numeric Data Variables (Y)”

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Fig 1.4 Variable selection dialog box

7. Click “OK>>”
8. The graph appears in the new tab “Hist Descript (1)”

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Fig 1.5 Histogram Results

The output from the previous steps has generated a graphical summary report of the data set HtBk. The image shows the frequency of the data for the numerical categories ranging from 5.7 to approximately 6.9. You can see the shape of the data roughly follows the bell curve.

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