以下の例は、Marital Status (結婚状況)に対するGender (性別)の頻度を計算するSQL問合わせが、どのようにTeradata Warehouse Minerを使用するかを示したものです。
SELECT gender, marital_status, xcnt,xpct ,CSUM(xcnt, xcnt DESC, gender, marital_status) AS xcum_cnt ,CSUM(xpct, xcnt DESC, gender, marital_status) AS xcum_pct ,RANK(xcnt DESC, gender ASC, marital_status ASC) AS xrank FROM (SELECT gender, marital_status, COUNT(*) AS xcnt ,100.000 * xcnt / xall (FORMAT 'ZZ9.99') AS xpct FROM customer_table A, (SELECT COUNT(*) AS xall FROM customer_table) B GROUP BY gender, marital_status, xall HAVING xpct >= 1) T1 QUALIFY xrank <= 8 ORDER BY xcnt DESC, gender, marital_status
この問合わせの結果は、以下のテーブルのようになります。
gender | marital_status | xcnt | xpct | xcum_cnt | xcum_pct | xrank |
---|---|---|---|---|---|---|
F | Married | 3910093 | 36.71 | 3910093 | 36.71 | 1 |
M | Married | 2419511 | 22.71 | 6329604 | 59.42 | 2 |
F | Divorced | 1612130 | 15.13 | 7941734 | 74.55 | 3 |
M | Divorced | 1412624 | 3.26 | 9354358 | 87.81 | 4 |
F | Single | 491224 | 4.61 | 9845582 | 92.42 | 5 |
F | Widowed | 319881 | 3.01 | 10165463 | 95.43 | 6 |
M | Single | 319794 | 3.00 | 10485257 | 98.43 | 7 |
M | Widowed | 197131 | 1.57 | 10652388 | 100.00 | 8 |