Calculate Histogram

Columns

Define the measurement parameters for classification by entering the column numbers freely, e.g. 1,3,5, or 1-6 or 1,3-7,8.
Clicking on the button to open the Select columns dialog. Here the column names of the data can be activated or deactivated by clicking on the relevant checkbox.

Class Boundaries

Select here, how you want the class boundaries of the calculated histogram to be determined.

-

>=,…,<

A numerical value falls into the histogram class if it is greater than or equal to the lower class boundary and less than the upper class boundary.

-

>,…,=<

A numerical value falls into the histogram class if it is greater than the lower class boundary and less than or equal to the upper class boundary.

Automatic Classification

Activated: The class boundaries are calculated automatically from the data. The value range from the lowest to the highest data value is divided into as many classes of equal width as you have set in the Class Number input field.

Example:

Minimum value is 0
Maximum value is 10000
Range is 10000 units
Class Count is 4
Then the class boundaries are as follows:

Class 1: 0 .. 2500
Class 2: 2501 .. 5000
Class 3: 5001 .. 7500
Class 4: 7501 .. 10000

Logarithmic

Only active, if the Automatic Classification checkbox is activated.

Activated: The class boundaries are scaled logarithmic.

Example:

Minimum value is 0
Maximum value is 10000
Range is 10000 units
Number of classes is 4
Then the class boundaries are as follows:

Class 1: 0 .. 10
Class 2: 11 .. 100
Class 3: 101 .. 1000
Class 4: 1001 .. 10000

Class Count

Specifies the number of classes that shall be created.

Display Mode

Select here, how you want the values of the histogram to be calculated.

-

Count

The histogram indicates how many data sets fall into the relevant class, it contains the frequency of the values in the class concerned.

-

Count Cumulative

The histogram cumulates the counts of values in each class. Class 1 contains the number of values for class 1, class 2 contains the sum of the values from class 1 and class 2, class 3 contains the sum of the values from class 2 and class 3, etc.

-

Percentage

The histogram indicates what percentage of the data sets fall into the relevant class, it therefore contains the percentage share of the values in the class concerned.

-

Percentage Cumulative

The histogram cumulates the percentage of the count of values in each class. Class 1 contains the percentage for class 1, class 2 contains the sum of the percentages from class 1 and class 2, class 3 contains the sum of the percentages from class 2 and class 3, etc.
The last class therefore contains 100%.

-

Sum

The histogram contains the sum of the numerical values of the data sets that fall into the relevant class, the values of the data sets that fall into the class concerned are therefore added together.

-

Sum Cumulative

The histogram cumulates the sums of the values in each class. Class 1 contains the sum of the numerical values from class 1, class 2 contains the sum of the numerical values from class 1 and class 2, class 3 contains the sum of the numerical values from class 2 and class 3, etc.
The last class therefore contains the sum of all individual values.

-

Percentage Sum

The histogram indicates the percentage share of the total numerical values in the relevant class.

-

Percentage Sum Cumulative

The histogram cumulates the percentage of the sums of values of all data points which belong to the class. Class 1 contains the percentage of the total numerical values from class 1, class 2 contains the sum of the percentages of the total numerical values from class 1 and class 2, class 3 contains the sum of the percentages of the total numerical values from class 2 and class 3, etc.
The last class therefore contains 100%.