Clean And Analyze Employee Exit Surveys
In this guided project, we'll work with exit surveys from employees of the Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) institute in Queensland, Australia. You can find the TAFE exit survey here and the survey for the DETE here.
In this project, we'll play the role of data analyst and pretend our stakeholders want to know the following:
- Are employees who only worked for the institutes for a short period of time resigning due to some kind of dissatisfaction? What about employees who have been there longer?
- Are younger employees resigning due to some kind of dissatisfaction? What about older employees?
They want us to combine the results for both surveys to answer these questions. However, although both used the same survey template, one of them customized some of the answers. In the guided steps, we'll aim to do most of the data cleaning and get you started analyzing the first question.
A data dictionary wasn't provided with the dataset. In a job setting, we'd make sure to meet with a manager to confirm the definitions of the data. For this project, we'll use our general knowledge to define the columns.
Below is a preview of a couple columns we'll work with from the dete_survey.csv
:
ID
: An id used to identify the participant of the surveySeparationType
: The reason why the person's employment endedCease Date
: The year or month the person's employment endedDETE Start Date
: The year the person began employment with the DETE
Below is a preview of a couple columns we'll work with from the tafe_survey.csv:
Record ID
: An id used to identify the participant of the surveyReason for ceasing employment
: The reason why the person's employment endedLengthofServiceOverall. Overall Length of Service at Institute (in years)
: The length of the person's employment (in years)
Let's start by reading the datasets into pandas and exploring them.
import numpy as np
import pandas as pd #we'll import any other as the need arises
dete_survey = pd.read_csv('dete_survey.csv')
tafe_survey = pd.read_csv('tafe_survey.csv')
dete_survey.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 822 entries, 0 to 821
Data columns (total 56 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 ID 822 non-null int64
1 SeparationType 822 non-null object
2 Cease Date 822 non-null object
3 DETE Start Date 822 non-null object
4 Role Start Date 822 non-null object
5 Position 817 non-null object
6 Classification 455 non-null object
7 Region 822 non-null object
8 Business Unit 126 non-null object
9 Employment Status 817 non-null object
10 Career move to public sector 822 non-null bool
11 Career move to private sector 822 non-null bool
12 Interpersonal conflicts 822 non-null bool
13 Job dissatisfaction 822 non-null bool
14 Dissatisfaction with the department 822 non-null bool
15 Physical work environment 822 non-null bool
16 Lack of recognition 822 non-null bool
17 Lack of job security 822 non-null bool
18 Work location 822 non-null bool
19 Employment conditions 822 non-null bool
20 Maternity/family 822 non-null bool
21 Relocation 822 non-null bool
22 Study/Travel 822 non-null bool
23 Ill Health 822 non-null bool
24 Traumatic incident 822 non-null bool
25 Work life balance 822 non-null bool
26 Workload 822 non-null bool
27 None of the above 822 non-null bool
28 Professional Development 808 non-null object
29 Opportunities for promotion 735 non-null object
30 Staff morale 816 non-null object
31 Workplace issue 788 non-null object
32 Physical environment 817 non-null object
33 Worklife balance 815 non-null object
34 Stress and pressure support 810 non-null object
35 Performance of supervisor 813 non-null object
36 Peer support 812 non-null object
37 Initiative 813 non-null object
38 Skills 811 non-null object
39 Coach 767 non-null object
40 Career Aspirations 746 non-null object
41 Feedback 792 non-null object
42 Further PD 768 non-null object
43 Communication 814 non-null object
44 My say 812 non-null object
45 Information 816 non-null object
46 Kept informed 813 non-null object
47 Wellness programs 766 non-null object
48 Health & Safety 793 non-null object
49 Gender 798 non-null object
50 Age 811 non-null object
51 Aboriginal 16 non-null object
52 Torres Strait 3 non-null object
53 South Sea 7 non-null object
54 Disability 23 non-null object
55 NESB 32 non-null object
dtypes: bool(18), int64(1), object(37)
memory usage: 258.6+ KB
dete_survey.head()
tafe_survey.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 702 entries, 0 to 701
Data columns (total 72 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Record ID 702 non-null float64
1 Institute 702 non-null object
2 WorkArea 702 non-null object
3 CESSATION YEAR 695 non-null float64
4 Reason for ceasing employment 701 non-null object
5 Contributing Factors. Career Move - Public Sector 437 non-null object
6 Contributing Factors. Career Move - Private Sector 437 non-null object
7 Contributing Factors. Career Move - Self-employment 437 non-null object
8 Contributing Factors. Ill Health 437 non-null object
9 Contributing Factors. Maternity/Family 437 non-null object
10 Contributing Factors. Dissatisfaction 437 non-null object
11 Contributing Factors. Job Dissatisfaction 437 non-null object
12 Contributing Factors. Interpersonal Conflict 437 non-null object
13 Contributing Factors. Study 437 non-null object
14 Contributing Factors. Travel 437 non-null object
15 Contributing Factors. Other 437 non-null object
16 Contributing Factors. NONE 437 non-null object
17 Main Factor. Which of these was the main factor for leaving? 113 non-null object
18 InstituteViews. Topic:1. I feel the senior leadership had a clear vision and direction 608 non-null object
19 InstituteViews. Topic:2. I was given access to skills training to help me do my job better 613 non-null object
20 InstituteViews. Topic:3. I was given adequate opportunities for personal development 610 non-null object
21 InstituteViews. Topic:4. I was given adequate opportunities for promotion within %Institute]Q25LBL% 608 non-null object
22 InstituteViews. Topic:5. I felt the salary for the job was right for the responsibilities I had 615 non-null object
23 InstituteViews. Topic:6. The organisation recognised when staff did good work 607 non-null object
24 InstituteViews. Topic:7. Management was generally supportive of me 614 non-null object
25 InstituteViews. Topic:8. Management was generally supportive of my team 608 non-null object
26 InstituteViews. Topic:9. I was kept informed of the changes in the organisation which would affect me 610 non-null object
27 InstituteViews. Topic:10. Staff morale was positive within the Institute 602 non-null object
28 InstituteViews. Topic:11. If I had a workplace issue it was dealt with quickly 601 non-null object
29 InstituteViews. Topic:12. If I had a workplace issue it was dealt with efficiently 597 non-null object
30 InstituteViews. Topic:13. If I had a workplace issue it was dealt with discreetly 601 non-null object
31 WorkUnitViews. Topic:14. I was satisfied with the quality of the management and supervision within my work unit 609 non-null object
32 WorkUnitViews. Topic:15. I worked well with my colleagues 605 non-null object
33 WorkUnitViews. Topic:16. My job was challenging and interesting 607 non-null object
34 WorkUnitViews. Topic:17. I was encouraged to use my initiative in the course of my work 610 non-null object
35 WorkUnitViews. Topic:18. I had sufficient contact with other people in my job 613 non-null object
36 WorkUnitViews. Topic:19. I was given adequate support and co-operation by my peers to enable me to do my job 609 non-null object
37 WorkUnitViews. Topic:20. I was able to use the full range of my skills in my job 609 non-null object
38 WorkUnitViews. Topic:21. I was able to use the full range of my abilities in my job. ; Category:Level of Agreement; Question:YOUR VIEWS ABOUT YOUR WORK UNIT] 608 non-null object
39 WorkUnitViews. Topic:22. I was able to use the full range of my knowledge in my job 608 non-null object
40 WorkUnitViews. Topic:23. My job provided sufficient variety 611 non-null object
41 WorkUnitViews. Topic:24. I was able to cope with the level of stress and pressure in my job 610 non-null object
42 WorkUnitViews. Topic:25. My job allowed me to balance the demands of work and family to my satisfaction 611 non-null object
43 WorkUnitViews. Topic:26. My supervisor gave me adequate personal recognition and feedback on my performance 606 non-null object
44 WorkUnitViews. Topic:27. My working environment was satisfactory e.g. sufficient space, good lighting, suitable seating and working area 610 non-null object
45 WorkUnitViews. Topic:28. I was given the opportunity to mentor and coach others in order for me to pass on my skills and knowledge prior to my cessation date 609 non-null object
46 WorkUnitViews. Topic:29. There was adequate communication between staff in my unit 603 non-null object
47 WorkUnitViews. Topic:30. Staff morale was positive within my work unit 606 non-null object
48 Induction. Did you undertake Workplace Induction? 619 non-null object
49 InductionInfo. Topic:Did you undertake a Corporate Induction? 432 non-null object
50 InductionInfo. Topic:Did you undertake a Institute Induction? 483 non-null object
51 InductionInfo. Topic: Did you undertake Team Induction? 440 non-null object
52 InductionInfo. Face to Face Topic:Did you undertake a Corporate Induction; Category:How it was conducted? 555 non-null object
53 InductionInfo. On-line Topic:Did you undertake a Corporate Induction; Category:How it was conducted? 555 non-null object
54 InductionInfo. Induction Manual Topic:Did you undertake a Corporate Induction? 555 non-null object
55 InductionInfo. Face to Face Topic:Did you undertake a Institute Induction? 530 non-null object
56 InductionInfo. On-line Topic:Did you undertake a Institute Induction? 555 non-null object
57 InductionInfo. Induction Manual Topic:Did you undertake a Institute Induction? 553 non-null object
58 InductionInfo. Face to Face Topic: Did you undertake Team Induction; Category? 555 non-null object
59 InductionInfo. On-line Topic: Did you undertake Team Induction?process you undertook and how it was conducted.] 555 non-null object
60 InductionInfo. Induction Manual Topic: Did you undertake Team Induction? 555 non-null object
61 Workplace. Topic:Did you and your Manager develop a Performance and Professional Development Plan (PPDP)? 608 non-null object
62 Workplace. Topic:Does your workplace promote a work culture free from all forms of unlawful discrimination? 594 non-null object
63 Workplace. Topic:Does your workplace promote and practice the principles of employment equity? 587 non-null object
64 Workplace. Topic:Does your workplace value the diversity of its employees? 586 non-null object
65 Workplace. Topic:Would you recommend the Institute as an employer to others? 581 non-null object
66 Gender. What is your Gender? 596 non-null object
67 CurrentAge. Current Age 596 non-null object
68 Employment Type. Employment Type 596 non-null object
69 Classification. Classification 596 non-null object
70 LengthofServiceOverall. Overall Length of Service at Institute (in years) 596 non-null object
71 LengthofServiceCurrent. Length of Service at current workplace (in years) 596 non-null object
dtypes: float64(2), object(70)
memory usage: 395.0+ KB