Viewing Reports

The KS6800A PathWave Measurement Analytics software enables you to view a report of the dataset values. The View Reports page displays a list of all the datasets added through the View Data page. Whenever a dataset is created, the corresponding report is added to the View Reports page.

To view a report, follow the steps below:

  1. On the left pane of the KS6800A PathWave Measurement Analytics software, click View Reports.
The View Reports page displays a list of available reports.

  1. Click the dataset name to expand the report list.

  1. Click Dataset Overview to view the report.
The selected report appears in the same browser window.

The report displays the name of the dataset, number of rows count, number of columns count, column type value (data type such as, int, double, string, boolean and so on), example values, and the dataset histograms (only for integer and float data types).
  1. Click Pearson Correlation Matrix for each dataset, if you wish to view the Pearson report.

The Pearson Correlation Matrix in the KS6800A PathWave Measurement Data Analytics software measures the linear association between the values in a field with those in another field of the same dataset and displays the correlation coefficient between two fields in the form of a matrix. Note that fields containing numeric data only are considered for this report. The Pearson correlation coefficient ranges between +1 and -1. If the coefficient value between two fields is zero, it indicates that those fields are not linearly associated. If the coefficient value is greater than zero, it indicates that as the values in one field increase, the values in the other field increase (positive association). If the coefficient value is lesser than zero, it indicates that as the values in one field increase, the values in the other field decrease (negative association)

As shown in the example below, all fields but sepal_width have a positive association with others. This report indicates that as the values in sepal_width increase, the values in the other fields decrease and vice-versa.