In our example, the Age data are integers so using integers in this table is okay. They cannot be identical or else border values Notice how the value of one record is smaller than the value of the next record. Simply create a table with four fields: Group ID (counter), Group Name (text), Minimum (number), and Maximum (number). Just follow these simple steps: Step 1: Create a table defining the groups and numeric ranges The frequency distribution query is called FreqDist.QBE. This example, we use two tables: Age_Grp.DB for age groupings and Patient.DB for patient data. A simple two table query calculates these results even when the size of the numeric ranges are not identical. In this example, we want to know how many patientsįall into different age categories (under 25, 25 to 40, 40 to 50, 50 to 60, and 60+). Three common needsįrequency distributions reveal the number of records that contain values within numeric ranges. No programming is required for these techniques. The following are a few examples of using queries to generate advanced results. Query Behavior in Multi-User Environments.ObjectPAL techniques are presented, but extensive knowledge of ObjectPAL is not necessary to understand most of the presentation and paper. This presentation provides a variety of tips and techniques for using Paradox queries, crosstabs, and graphs to analyze and present data. Paradox Data Analysis Tips and Techniques by Luke Chung, President of FMS, Inc.
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