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Separate the column headers and data (hint: use the Data Interpreter tool). Shape your data into the following format (hint: use the Pivot tool). Split

    1. Separate the column headers and data (hint: use the Data Interpreter tool).
    2. Shape your data into the following format (hint: use the Pivot tool).
    3. Split the Employee field into two parts. For the first row, “B” is the location information, and “002” is the Employee ID number.
    4. Visualize the data to show the efficiency of the employees according to the number of resolved incidents

1/1/2014 43/1/2014 51 1 5/1/2014 37/1/2014 34 8/1/2014 12/1/2014 12 17 10/1/2014 11/1/2014 02 Employee B-002 E-055 E-0 

Employee B-002 E-055 1/1/2014 2/1/2014 3/1/2014 4/1/2014 5/1/2014 6/1/2014 7/1/2014 8/1/2014 9/1/2014 10/1/2014 11/1/2014 12/1/2014 4 1 3 3 1 2 5 2 1 3 4 1 4 2 1 4 E-075 14 17 16 15 18 16 14 17 12 13 14 12 B-066 4 4 5 2 2. 3 C-025 17 13 17 18 17 17 12 15 17 17 14 15 E-030 2 1 3 5 5 2 4 1 C-001 14 14 14 14 13 18 17 14 13 18 15 14 E-038 4 4 2 5 2 2 2 C-054 2 4 4 2 3 3 5 A-081 3 2 4 2 2 2 4 4 2 -031 14 14 14 14 15 13 15 14 12 16 12 18 D-019 2 3 4 4 1 2 5 E-096 2 4 4 3 3 4 2 D-026 2 2 5 3 1 4 E-022 3 4 3 4 2 3 2. 3 3 1 C-015 5 3 5 2 3 3 1 B-062 14 12 16 16 16 18 12 12 18 16 12 17 E-029 5 1. 2. 4 3 4 3 4 5 A-037 2. 2 2 3 4 2 2 1 2 2 E-087 14 17 13 17 18 13 13 12 13 16 13 16 C-040 4 3 5 2 1 4 2 1 A-077 3 5 3 5 2 3 5 4 4 4 C-041 18 18 15 15 15 17 17 12 18 17 16 16 D-005 4 3 2 5 1 2 3 3 E-046 12 13 14 17 16 14 14 18 13 16 15 17 C-053 2 5 5 2 1 4 5 1 3

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