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Data of total number of employee in finance department which is more specific and numeric is?Continuous DataDiscrete DataQualitative DataOperative Data

Question

Data of total number of employee in finance department which is more specific and numeric is?Continuous DataDiscrete DataQualitative DataOperative Data

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The data of the total number of employees in the finance department is a specific and numeric data. This type of data is considered discrete data, as it consists of whole numbers that represent the count of employees.

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8.7 The following table consists of training data from an employee database. The data havebeen generalized. For example, “31 . . . 35” for age represents the age range of 31 to 35.For a given row entry, count represents the number of data tuples having the values fordepartment, status, age, and salary given in that row.department status age salary countsales senior 31 . . . 35 46K . . . 50K 30sales junior 26 . . . 30 26K . . . 30K 40sales junior 31 . . . 35 31K . . . 35K 40systems junior 21 . . . 25 46K . . . 50K 20systems senior 31 . . . 35 66K . . . 70K 5systems junior 26 . . . 30 46K . . . 50K 3systems senior 41 . . . 45 66K . . . 70K 3marketing senior 36 . . . 40 46K . . . 50K 10marketing junior 31 . . . 35 41K . . . 45K 4secretary senior 46 . . . 50 36K . . . 40K 4secretary junior 26 . . . 30 26K . . . 30K 6Let status be the class label attribute.(a) How would you modify the basic decision tree algorithm to take into considerationthe count of each generalized data tuple (i.e., of each row entry)?(b) Use your algorithm to construct a decision tree from the given data.(c) Given a data tuple having the values “systems,” “26 . . . 30,” and “46–50K” for theattributes department, age, and salary, respectively, what would a na¨ıve Bayesianclassification of the status for the tuple be?

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Understanding Data TablesIn which of the following years did each department have a large number of employees than it did in the immediately preceding year?2010201220092011

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