1.資料欄位解釋
affairs:一年來婚外情的頻率
gender:性別
age:年齡
yearsmarried:婚齡
children:是否有小孩
religiousness:宗教信仰程度(5分制,1分表示反對,5分表示非常信仰)
education:學歷
occupation:職業(逆向編號的戈登7種分類)
rating:對婚姻的自我評分(5分制,1表示非常不幸福,5表示非常幸福)
2.資料列表
val dataList: List[(Double, String, Double, Double, String, Double, Double, Double, Double)] = List( (0, "male", 37, 10, "no", 3, 18, 7, 4), (0, "female", 27, 4, "no", 4, 14, 6, 4), (0, "female", 32, 15, "yes", 1, 12, 1, 4), (0, "male", 57, 15, "yes", 5, 18, 6, 5), (0, "male", 22, 0.75, "no", 2, 17, 6, 3), (0, "female", 32, 1.5, "no", 2, 17, 5, 5), (0, "female", 22, 0.75, "no", 2, 12, 1, 3), (0, "male", 57, 15, "yes", 2, 14, 4, 4), (0, "female", 32, 15, "yes", 4, 16, 1, 2), (0, "male", 22, 1.5, "no", 4, 14, 4, 5), (0, "male", 37, 15, "yes", 2, 20, 7, 2), (0, "male", 27, 4, "yes", 4, 18, 6, 4), (0, "male", 47, 15, "yes", 5, 17, 6, 4), (0, "female", 22, 1.5, "no", 2, 17, 5, 4), (0, "female", 27, 4, "no", 4, 14, 5, 4), (0, "female", 37, 15, "yes", 1, 17, 5, 5), (0, "female", 37, 15, "yes", 2, 18, 4, 3), (0, "female", 22, 0.75, "no", 3, 16, 5, 4), (0, "female", 22, 1.5, "no", 2, 16, 5, 5), (0, "female", 27, 10, "yes", 2, 14, 1, 5), (0, "female", 22, 1.5, "no", 2, 16, 5, 5), (0, "female", 22, 1.5, "no", 2, 16, 5, 5), (0, "female", 27, 10, "yes", 4, 16, 5, 4), (0, "female", 32, 10, "yes", 3, 14, 1, 5), (0, "male", 37, 4, "yes", 2, 20, 6, 4), (0, "female", 22, 1.5, "no", 2, 18, 5, 5), (0, "female", 27, 7, "no", 4, 16, 1, 5), (0, "male", 42, 15, "yes", 5, 20, 6, 4), (0, "male", 27, 4, "yes", 3, 16, 5, 5), (0, "female", 27, 4, "yes", 3, 17, 5, 4), (0, "male", 42, 15, "yes", 4, 20, 6, 3), (0, "female", 22, 1.5, "no", 3, 16, 5, 5), (0, "male", 27, 0.417, "no", 4, 17, 6, 4), (0, "female", 42, 15, "yes", 5, 14, 5, 4), (0, "male", 32, 4, "yes", 1, 18, 6, 4), (0, "female", 22, 1.5, "no", 4, 16, 5, 3), (0, "female", 42, 15, "yes", 3, 12, 1, 4), (0, "female", 22, 4, "no", 4, 17, 5, 5), (0, "male", 22, 1.5, "yes", 1, 14, 3, 5), (0, "female", 22, 0.75, "no", 3, 16, 1, 5), (0, "male", 32, 10, "yes", 5, 20, 6, 5), (0, "male", 52, 15, "yes", 5, 18, 6, 3), (0, "female", 22, 0.417, "no", 5, 14, 1, 4), (0, "female", 27, 4, "yes", 2, 18, 6, 1), (0, "female", 32, 7, "yes", 5, 17, 5, 3), (0, 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(0, "female", 22, 1.5, "yes", 2, 14, 5, 5), (0, "female", 27, 4, "yes", 1, 16, 5, 5), (0, "male", 52, 15, "yes", 4, 16, 5, 5), (0, "male", 32, 10, "yes", 4, 20, 6, 5), (0, "male", 47, 15, "yes", 4, 16, 6, 4), (0, "female", 27, 7, "yes", 2, 14, 1, 2), (0, "female", 22, 1.5, "no", 4, 14, 4, 5), (0, "female", 32, 10, "yes", 2, 16, 5, 4), (0, "female", 22, 0.75, "no", 2, 16, 5, 4), (0, "female", 22, 1.5, "no", 2, 16, 5, 5), (0, "female", 42, 15, "yes", 3, 18, 6, 4), (0, "female", 27, 7, "yes", 5, 14, 4, 5), (0, "male", 42, 15, "yes", 4, 16, 4, 4), (0, "female", 57, 15, "yes", 3, 18, 5, 2), (0, "male", 42, 15, "yes", 3, 18, 6, 2), (0, "female", 32, 7, "yes", 2, 14, 1, 2), (0, "male", 22, 4, "no", 5, 12, 4, 5), (0, "female", 22, 1.5, "no", 1, 16, 6, 5), (0, "female", 22, 0.75, "no", 1, 14, 4, 5), (0, "female", 32, 15, "yes", 4, 12, 1, 5), (0, "male", 22, 1.5, "no", 2, 18, 5, 3), (0, "male", 27, 4, "yes", 5, 17, 2, 5), (0, "female", 27, 4, "yes", 4, 12, 1, 5), (0, "male", 42, 15, "yes", 5, 18, 5, 4), (0, "male", 32, 1.5, "no", 2, 20, 7, 3), (0, "male", 57, 15, "no", 4, 9, 3, 1), (0, "male", 37, 7, "no", 4, 18, 5, 5), (0, "male", 52, 15, "yes", 2, 17, 5, 4), (0, "male", 47, 15, "yes", 4, 17, 6, 5), (0, "female", 27, 7, "no", 2, 17, 5, 4), (0, "female", 27, 7, "yes", 4, 14, 5, 5), (0, "female", 22, 4, "no", 2, 14, 3, 3), (0, "male", 37, 7, "yes", 2, 20, 6, 5), (0, "male", 27, 7, "no", 4, 12, 4, 3), (0, "male", 42, 10, "yes", 4, 18, 6, 4), (0, "female", 22, 1.5, "no", 3, 14, 1, 5), (0, "female", 22, 4, "yes", 2, 14, 1, 3), (0, "female", 57, 15, "no", 4, 20, 6, 5), (0, "male", 37, 15, "yes", 4, 14, 4, 3), (0, "female", 27, 7, "yes", 3, 18, 5, 5), (0, "female", 17.5, 10, "no", 4, 14, 4, 5), (0, "male", 22, 4, "yes", 4, 16, 5, 5), (0, "female", 27, 4, "yes", 2, 16, 1, 4), (0, "female", 37, 15, "yes", 2, 14, 5, 1), (0, "female", 22, 1.5, "no", 5, 14, 1, 4), (0, "male", 27, 7, "yes", 2, 20, 5, 4), (0, "male", 27, 4, "yes", 4, 14, 5, 5), (0, "male", 22, 0.125, "no", 1, 16, 3, 5), (0, "female", 27, 7, "yes", 4, 14, 1, 4), (0, "female", 32, 15, "yes", 5, 16, 5, 3), (0, "male", 32, 10, "yes", 4, 18, 5, 4), (0, "female", 32, 15, "yes", 2, 14, 3, 4), (0, "female", 22, 1.5, "no", 3, 17, 5, 5), (0, "male", 27, 4, "yes", 4, 17, 4, 4), (0, "female", 52, 15, "yes", 5, 14, 1, 5), (0, "female", 27, 7, "yes", 2, 12, 1, 2), (0, "female", 27, 7, "yes", 3, 12, 1, 4), (0, "female", 42, 15, "yes", 2, 14, 1, 4), (0, "female", 42, 15, "yes", 4, 14, 5, 4), (0, "male", 27, 7, "yes", 4, 14, 3, 3), (0, "male", 27, 7, "yes", 2, 20, 6, 2), (0, "female", 42, 15, "yes", 3, 12, 3, 3), (0, "male", 27, 4, "yes", 3, 16, 3, 5), (0, "female", 27, 7, "yes", 3, 14, 1, 4), (0, "female", 22, 1.5, "no", 2, 14, 4, 5), (0, "female", 27, 4, "yes", 4, 14, 1, 4), (0, "female", 22, 4, "no", 4, 14, 5, 5), (0, "female", 22, 1.5, "no", 2, 16, 4, 5), (0, "male", 47, 15, "no", 4, 14, 5, 4), (0, "male", 37, 10, "yes", 2, 18, 6, 2), (0, "male", 37, 15, "yes", 3, 17, 5, 4), (0, "female", 27, 4, "yes", 2, 16, 1, 4), (3, "male", 27, 1.5, "no", 3, 18, 4, 4), (3, "female", 27, 4, "yes", 3, 17, 1, 5), (7, "male", 37, 15, "yes", 5, 18, 6, 2), (12, "female", 32, 10, "yes", 3, 17, 5, 2), (1, "male", 22, 0.125, "no", 4, 16, 5, 5), (1, "female", 22, 1.5, "yes", 2, 14, 1, 5), (12, "male", 37, 15, "yes", 4, 14, 5, 2), (7, "female", 22, 1.5, "no", 2, 14, 3, 4), (2, "male", 37, 15, "yes", 2, 18, 6, 4), (3, "female", 32, 15, "yes", 4, 12, 3, 2), (1, "female", 37, 15, "yes", 4, 14, 4, 2), (7, "female", 42, 15, "yes", 3, 17, 1, 4), (12, "female", 42, 15, "yes", 5, 9, 4, 1), (12, "male", 37, 10, "yes", 2, 20, 6, 2), (12, "female", 32, 15, "yes", 3, 14, 1, 2), (3, "male", 27, 4, "no", 1, 18, 6, 5), (7, "male", 37, 10, "yes", 2, 18, 7, 3), (7, "female", 27, 4, "no", 3, 17, 5, 5), (1, "male", 42, 15, "yes", 4, 16, 5, 5), (1, "female", 47, 15, "yes", 5, 14, 4, 5), (7, "female", 27, 4, "yes", 3, 18, 5, 4), (1, "female", 27, 7, "yes", 5, 14, 1, 4), (12, "male", 27, 1.5, "yes", 3, 17, 5, 4), (12, "female", 27, 7, "yes", 4, 14, 6, 2), (3, "female", 42, 15, "yes", 4, 16, 5, 4), (7, "female", 27, 10, "yes", 4, 12, 7, 3), (1, "male", 27, 1.5, "no", 2, 18, 5, 2), (1, "male", 32, 4, "no", 4, 20, 6, 4), (1, "female", 27, 7, "yes", 3, 14, 1, 3), (3, "female", 32, 10, "yes", 4, 14, 1, 4), (3, "male", 27, 4, "yes", 2, 18, 7, 2), (1, "female", 17.5, 0.75, "no", 5, 14, 4, 5), (1, "female", 32, 10, "yes", 4, 18, 1, 5), (7, "female", 32, 7, "yes", 2, 17, 6, 4), (7, "male", 37, 15, "yes", 2, 20, 6, 4), (7, "female", 37, 10, "no", 1, 20, 5, 3), (12, "female", 32, 10, "yes", 2, 16, 5, 5), (7, "male", 52, 15, "yes", 2, 20, 6, 4), (7, "female", 42, 15, "yes", 1, 12, 1, 3), (1, "male", 52, 15, "yes", 2, 20, 6, 3), (2, "male", 37, 15, "yes", 3, 18, 6, 5), (12, "female", 22, 4, "no", 3, 12, 3, 4), (12, "male", 27, 7, "yes", 1, 18, 6, 2), (1, "male", 27, 4, "yes", 3, 18, 5, 5), (12, "male", 47, 15, "yes", 4, 17, 6, 5), (12, "female", 42, 15, "yes", 4, 12, 1, 1), (7, "male", 27, 4, "no", 3, 14, 3, 4), (7, "female", 32, 7, "yes", 4, 18, 4, 5), (1, "male", 32, 0.417, "yes", 3, 12, 3, 4), (3, "male", 47, 15, "yes", 5, 16, 5, 4), (12, "male", 37, 15, "yes", 2, 20, 5, 4), (7, "male", 22, 4, "yes", 2, 17, 6, 4), (1, "male", 27, 4, "no", 2, 14, 4, 5), (7, "female", 52, 15, "yes", 5, 16, 1, 3), (1, "male", 27, 4, "no", 3, 14, 3, 3), (1, "female", 27, 10, "yes", 4, 16, 1, 4), (1, "male", 32, 7, "yes", 3, 14, 7, 4), (7, "male", 32, 7, "yes", 2, 18, 4, 1), (3, "male", 22, 1.5, "no", 1, 14, 3, 2), (7, "male", 22, 4, "yes", 3, 18, 6, 4), (7, "male", 42, 15, "yes", 4, 20, 6, 4), (2, "female", 57, 15, "yes", 1, 18, 5, 4), (7, "female", 32, 4, "yes", 3, 18, 5, 2), (1, "male", 27, 4, "yes", 1, 16, 4, 4), (7, "male", 32, 7, "yes", 4, 16, 1, 4), (2, "male", 57, 15, "yes", 1, 17, 4, 4), (7, "female", 42, 15, "yes", 4, 14, 5, 2), (7, "male", 37, 10, "yes", 1, 18, 5, 3), (3, "male", 42, 15, "yes", 3, 17, 6, 1), (1, "female", 52, 15, "yes", 3, 14, 4, 4), (2, "female", 27, 7, "yes", 3, 17, 5, 3), (12, "male", 32, 7, "yes", 2, 12, 4, 2), (1, "male", 22, 4, "no", 4, 14, 2, 5), (3, "male", 27, 7, "yes", 3, 18, 6, 4), (12, "female", 37, 15, "yes", 1, 18, 5, 5), (7, "female", 32, 15, "yes", 3, 17, 1, 3), (7, "female", 27, 7, "no", 2, 17, 5, 5), (1, "female", 32, 7, "yes", 3, 17, 5, 3), (1, "male", 32, 1.5, "yes", 2, 14, 2, 4), (12, "female", 42, 15, "yes", 4, 14, 1, 2), (7, "male", 32, 10, "yes", 3, 14, 5, 4), (7, "male", 37, 4, "yes", 1, 20, 6, 3), (1, "female", 27, 4, "yes", 2, 16, 5, 3), (12, "female", 42, 15, "yes", 3, 14, 4, 3), (1, "male", 27, 10, "yes", 5, 20, 6, 5), (12, "male", 37, 10, "yes", 2, 20, 6, 2), (12, "female", 27, 7, "yes", 1, 14, 3, 3), (3, "female", 27, 7, "yes", 4, 12, 1, 2), (3, "male", 32, 10, "yes", 2, 14, 4, 4), (12, "female", 17.5, 0.75, "yes", 2, 12, 1, 3), (12, "female", 32, 15, "yes", 3, 18, 5, 4), (2, "female", 22, 7, "no", 4, 14, 4, 3), (1, "male", 32, 7, "yes", 4, 20, 6, 5), (7, "male", 27, 4, "yes", 2, 18, 6, 2), (1, "female", 22, 1.5, "yes", 5, 14, 5, 3), (12, "female", 32, 15, "no", 3, 17, 5, 1), (12, "female", 42, 15, "yes", 2, 12, 1, 2), (7, "male", 42, 15, "yes", 3, 20, 5, 4), (12, "male", 32, 10, "no", 2, 18, 4, 2), (12, "female", 32, 15, "yes", 3, 9, 1, 1), (7, "male", 57, 15, "yes", 5, 20, 4, 5), (12, "male", 47, 15, "yes", 4, 20, 6, 4), (2, "female", 42, 15, "yes", 2, 17, 6, 3), (12, "male", 37, 15, "yes", 3, 17, 6, 3), (12, "male", 37, 15, "yes", 5, 17, 5, 2), (7, "male", 27, 10, "yes", 2, 20, 6, 4), (2, "male", 37, 15, "yes", 2, 16, 5, 4), (12, "female", 32, 15, "yes", 1, 14, 5, 2), (7, "male", 32, 10, "yes", 3, 17, 6, 3), (2, "male", 37, 15, "yes", 4, 18, 5, 1), (7, "female", 27, 1.5, "no", 2, 17, 5, 5), (3, "female", 47, 15, "yes", 2, 17, 5, 2), (12, "male", 37, 15, "yes", 2, 17, 5, 4), (12, "female", 27, 4, "no", 2, 14, 5, 5), (2, "female", 27, 10, "yes", 4, 14, 1, 5), (1, "female", 22, 4, "yes", 3, 16, 1, 3), (12, "male", 52, 7, "no", 4, 16, 5, 5), (2, "female", 27, 4, "yes", 1, 16, 3, 5), (7, "female", 37, 15, "yes", 2, 17, 6, 4), (2, "female", 27, 4, "no", 1, 17, 3, 1), (12, "female", 17.5, 0.75, "yes", 2, 12, 3, 5), (7, "female", 32, 15, "yes", 5, 18, 5, 4), (7, "female", 22, 4, "no", 1, 16, 3, 5), (2, "male", 32, 4, "yes", 4, 18, 6, 4), (1, "female", 22, 1.5, "yes", 3, 18, 5, 2), (3, "female", 42, 15, "yes", 2, 17, 5, 4), (1, "male", 32, 7, "yes", 4, 16, 4, 4), (12, "male", 37, 15, "no", 3, 14, 6, 2), (1, "male", 42, 15, "yes", 3, 16, 6, 3), (1, "male", 27, 4, "yes", 1, 18, 5, 4), (2, "male", 37, 15, "yes", 4, 20, 7, 3), (7, "male", 37, 15, "yes", 3, 20, 6, 4), (3, "male", 22, 1.5, "no", 2, 12, 3, 3), (3, "male", 32, 4, "yes", 3, 20, 6, 2), (2, "male", 32, 15, "yes", 5, 20, 6, 5), (12, "female", 52, 15, "yes", 1, 18, 5, 5), (12, "male", 47, 15, "no", 1, 18, 6, 5), (3, "female", 32, 15, "yes", 4, 16, 4, 4), (7, "female", 32, 15, "yes", 3, 14, 3, 2), (7, "female", 27, 7, "yes", 4, 16, 1, 2), (12, "male", 42, 15, "yes", 3, 18, 6, 2), (7, "female", 42, 15, "yes", 2, 14, 3, 2), (12, "male", 27, 7, "yes", 2, 17, 5, 4), (3, "male", 32, 10, "yes", 4, 14, 4, 3), (7, "male", 47, 15, "yes", 3, 16, 4, 2), (1, "male", 22, 1.5, "yes", 1, 12, 2, 5), (7, "female", 32, 10, "yes", 2, 18, 5, 4), (2, "male", 32, 10, "yes", 2, 17, 6, 5), (2, "male", 22, 7, "yes", 3, 18, 6, 2), (1, "female", 32, 15, "yes", 3, 14, 1, 5))
3.定義列名
val colArray: Array[String] = Array("affairs", "gender", "age", "yearsmarried", "children", "religiousness", "education", "occupation", "rating") val data = dataList.toDF(colArray:_*) data.printSchema() root |-- affairs: double (nullable = false) |-- gender: string (nullable = true) |-- age: double (nullable = false) |-- yearsmarried: double (nullable = false) |-- children: string (nullable = true) |-- religiousness: double (nullable = false) |-- education: double (nullable = false) |-- occupation: double (nullable = false) |-- rating: double (nullable = false) data.show(10) +-------+------+----+------------+--------+-------------+---------+----------+------+ |affairs|gender| age|yearsmarried|children|religiousness|education|occupation|rating| +-------+------+----+------------+--------+-------------+---------+----------+------+ | 0.0| male|37.0| 10.0| no| 3.0| 18.0| 7.0| 4.0| | 0.0|female|27.0| 4.0| no| 4.0| 14.0| 6.0| 4.0| | 0.0|female|32.0| 15.0| yes| 1.0| 12.0| 1.0| 4.0| | 0.0| male|57.0| 15.0| yes| 5.0| 18.0| 6.0| 5.0| | 0.0| male|22.0| 0.75| no| 2.0| 17.0| 6.0| 3.0| | 0.0|female|32.0| 1.5| no| 2.0| 17.0| 5.0| 5.0| | 0.0|female|22.0| 0.75| no| 2.0| 12.0| 1.0| 3.0| | 0.0| male|57.0| 15.0| yes| 2.0| 14.0| 4.0| 4.0| | 0.0|female|32.0| 15.0| yes| 4.0| 16.0| 1.0| 2.0| | 0.0| male|22.0| 1.5| no| 4.0| 14.0| 4.0| 5.0| +-------+------+----+------------+--------+-------------+---------+----------+------+ only showing top 10 rows
4.檢視資料的統計分佈情況
val descrDF = data.describe(colArray:_*) descrDF.printSchema() root |-- summary: string (nullable = true) |-- affairs: string (nullable = true) |-- gender: string (nullable = true) |-- age: string (nullable = true) |-- yearsmarried: string (nullable = true) |-- children: string (nullable = true) |-- religiousness: string (nullable = true) |-- education: string (nullable = true) |-- occupation: string (nullable = true) |-- rating: string (nullable = true) descrDF.selectExpr("summary", "round(affairs,2) as affairs", "round(age,2) as age", "round(yearsmarried,2) as yearsmarried", "children", "round(religiousness,2) as religiousness", "round(education,2) as education", "round(occupation,2) as occupation", "round(rating,2) as rating").show(10, truncate = false) +-------+-------+-----+------------+--------+-------------+---------+----------+------+ |summary|affairs|age |yearsmarried|children|religiousness|education|occupation|rating| +-------+-------+-----+------------+--------+-------------+---------+----------+------+ |count |601.0 |601.0|601.0 |601 |601.0 |601.0 |601.0 |601.0 | |mean |1.46 |32.49|8.18 |null |3.12 |16.17 |4.19 |3.93 | |stddev |3.3 |9.29 |5.57 |null |1.17 |2.4 |1.82 |1.1 | |min |0.0 |17.5 |0.13 |no |1.0 |9.0 |1.0 |1.0 | |max |12.0 |57.0 |15.0 |yes |5.0 |20.0 |7.0 |5.0 | +-------+-------+-----+------------+--------+-------------+---------+----------+------+