Histogram Example 3: BinSize, StartValue, EndValue - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.00
1.0
Published
May 2019
Language
English (United States)
Last Update
2019-11-22
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B700-4003
lifecycle
previous
Product Category
Teradata Vantage™

You specify one bin size and start and end values, and the output is grouped for each values of grouping variable (cyl).

Input

SQL Call

DROP TABLE IF EXISTS cars_hist_out;

SELECT * FROM Histogram (
  ON cars_hist AS InputTable
  OUT TABLE OutputTable (cars_hist_out)
  USING
  StartValue (20)
  BinSize (50)
  EndValue (400)
  Inclusion ('right')
  TargetColumn ('hp')
  GroupByColumns ('cyl')
) AS dt;

Output

output_table output_columns
specified in OutputTable argument "cyl" bin bin_start bin_end bin_count bin_percent

This query returns the following table:

SELECT * FROM cars_hist_out ORDER BY 1;
cars_hist_out
cyl bin bin_start bin_end bin_count bin_percent
4 0 20 70 5 45.45
4 1 70 120 6 54.55
4 2 120 170 0 0.00
4 3 170 220 0 0.00
4 4 220 270 0 0.00
4 5 270 320 0 0.00
4 6 320 370 0 0.00
4 7 370 400 0 0.00
6 0 20 70 0 0.00
6 1 70 120 4 57.14
6 2 120 170 2 28.57
6 3 170 220 1 14.29
6 4 220 270 0 0.00
6 5 270 320 0 0.00
6 6 320 370 0 0.00
6 7 370 400 0 0.00
8 0 20 70 0 0.00
8 1 70 120 0 0.00
8 2 120 170 2 14.29
8 3 170 220 7 50.00
8 4 220 270 4 28.57
8 5 270 320 0 0.00
8 6 320 370 1 7.14
8 7 370 400 0 0.00