The stakeholders of two institutes want to know more about why employees leave their organisations. Specifically, they want to know the following:
The data that has been provided contains information on employee exit from two different institutes. The stakeholders have asked for these results to be combined. The aim is therefore to combine the results for both surveys and answer the questions posed about. However, although both used the same survey template, one of them customized some of the answers so before the datasets can be combined, the data needs to be cleaned.
import pandas as pd
import numpy as np
dete_survey = pd.read_csv("dete_survey.csv")
tafe_survey = pd.read_csv("tafe_survey.csv")
print(dete_survey.info())
print(tafe_survey.info())
<class 'pandas.core.frame.DataFrame'> RangeIndex: 822 entries, 0 to 821 Data columns (total 56 columns): ID 822 non-null int64 SeparationType 822 non-null object Cease Date 822 non-null object DETE Start Date 822 non-null object Role Start Date 822 non-null object Position 817 non-null object Classification 455 non-null object Region 822 non-null object Business Unit 126 non-null object Employment Status 817 non-null object Career move to public sector 822 non-null bool Career move to private sector 822 non-null bool Interpersonal conflicts 822 non-null bool Job dissatisfaction 822 non-null bool Dissatisfaction with the department 822 non-null bool Physical work environment 822 non-null bool Lack of recognition 822 non-null bool Lack of job security 822 non-null bool Work location 822 non-null bool Employment conditions 822 non-null bool Maternity/family 822 non-null bool Relocation 822 non-null bool Study/Travel 822 non-null bool Ill Health 822 non-null bool Traumatic incident 822 non-null bool Work life balance 822 non-null bool Workload 822 non-null bool None of the above 822 non-null bool Professional Development 808 non-null object Opportunities for promotion 735 non-null object Staff morale 816 non-null object Workplace issue 788 non-null object Physical environment 817 non-null object Worklife balance 815 non-null object Stress and pressure support 810 non-null object Performance of supervisor 813 non-null object Peer support 812 non-null object Initiative 813 non-null object Skills 811 non-null object Coach 767 non-null object Career Aspirations 746 non-null object Feedback 792 non-null object Further PD 768 non-null object Communication 814 non-null object My say 812 non-null object Information 816 non-null object Kept informed 813 non-null object Wellness programs 766 non-null object Health & Safety 793 non-null object Gender 798 non-null object Age 811 non-null object Aboriginal 16 non-null object Torres Strait 3 non-null object South Sea 7 non-null object Disability 23 non-null object NESB 32 non-null object dtypes: bool(18), int64(1), object(37) memory usage: 258.6+ KB None <class 'pandas.core.frame.DataFrame'> RangeIndex: 702 entries, 0 to 701 Data columns (total 72 columns): Record ID 702 non-null float64 Institute 702 non-null object WorkArea 702 non-null object CESSATION YEAR 695 non-null float64 Reason for ceasing employment 701 non-null object Contributing Factors. Career Move - Public Sector 437 non-null object Contributing Factors. Career Move - Private Sector 437 non-null object Contributing Factors. Career Move - Self-employment 437 non-null object Contributing Factors. Ill Health 437 non-null object Contributing Factors. Maternity/Family 437 non-null object Contributing Factors. Dissatisfaction 437 non-null object Contributing Factors. Job Dissatisfaction 437 non-null object Contributing Factors. Interpersonal Conflict 437 non-null object Contributing Factors. Study 437 non-null object Contributing Factors. Travel 437 non-null object Contributing Factors. Other 437 non-null object Contributing Factors. NONE 437 non-null object Main Factor. Which of these was the main factor for leaving? 113 non-null object InstituteViews. Topic:1. I feel the senior leadership had a clear vision and direction 608 non-null object InstituteViews. Topic:2. I was given access to skills training to help me do my job better 613 non-null object InstituteViews. Topic:3. I was given adequate opportunities for personal development 610 non-null object InstituteViews. Topic:4. I was given adequate opportunities for promotion within %Institute]Q25LBL% 608 non-null object InstituteViews. Topic:5. I felt the salary for the job was right for the responsibilities I had 615 non-null object InstituteViews. Topic:6. The organisation recognised when staff did good work 607 non-null object InstituteViews. Topic:7. Management was generally supportive of me 614 non-null object InstituteViews. Topic:8. Management was generally supportive of my team 608 non-null object InstituteViews. Topic:9. I was kept informed of the changes in the organisation which would affect me 610 non-null object InstituteViews. Topic:10. Staff morale was positive within the Institute 602 non-null object InstituteViews. Topic:11. If I had a workplace issue it was dealt with quickly 601 non-null object InstituteViews. Topic:12. If I had a workplace issue it was dealt with efficiently 597 non-null object InstituteViews. Topic:13. If I had a workplace issue it was dealt with discreetly 601 non-null object WorkUnitViews. Topic:14. I was satisfied with the quality of the management and supervision within my work unit 609 non-null object WorkUnitViews. Topic:15. I worked well with my colleagues 605 non-null object WorkUnitViews. Topic:16. My job was challenging and interesting 607 non-null object WorkUnitViews. Topic:17. I was encouraged to use my initiative in the course of my work 610 non-null object WorkUnitViews. Topic:18. I had sufficient contact with other people in my job 613 non-null object 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 WorkUnitViews. Topic:20. I was able to use the full range of my skills in my job 609 non-null object 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 WorkUnitViews. Topic:22. I was able to use the full range of my knowledge in my job 608 non-null object WorkUnitViews. Topic:23. My job provided sufficient variety 611 non-null object WorkUnitViews. Topic:24. I was able to cope with the level of stress and pressure in my job 610 non-null object WorkUnitViews. Topic:25. My job allowed me to balance the demands of work and family to my satisfaction 611 non-null object WorkUnitViews. Topic:26. My supervisor gave me adequate personal recognition and feedback on my performance 606 non-null object WorkUnitViews. Topic:27. My working environment was satisfactory e.g. sufficient space, good lighting, suitable seating and working area 610 non-null object 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 WorkUnitViews. Topic:29. There was adequate communication between staff in my unit 603 non-null object WorkUnitViews. Topic:30. Staff morale was positive within my work unit 606 non-null object Induction. Did you undertake Workplace Induction? 619 non-null object InductionInfo. Topic:Did you undertake a Corporate Induction? 432 non-null object InductionInfo. Topic:Did you undertake a Institute Induction? 483 non-null object InductionInfo. Topic: Did you undertake Team Induction? 440 non-null object InductionInfo. Face to Face Topic:Did you undertake a Corporate Induction; Category:How it was conducted? 555 non-null object InductionInfo. On-line Topic:Did you undertake a Corporate Induction; Category:How it was conducted? 555 non-null object InductionInfo. Induction Manual Topic:Did you undertake a Corporate Induction? 555 non-null object InductionInfo. Face to Face Topic:Did you undertake a Institute Induction? 530 non-null object InductionInfo. On-line Topic:Did you undertake a Institute Induction? 555 non-null object InductionInfo. Induction Manual Topic:Did you undertake a Institute Induction? 553 non-null object InductionInfo. Face to Face Topic: Did you undertake Team Induction; Category? 555 non-null object InductionInfo. On-line Topic: Did you undertake Team Induction?process you undertook and how it was conducted.] 555 non-null object InductionInfo. Induction Manual Topic: Did you undertake Team Induction? 555 non-null object Workplace. Topic:Did you and your Manager develop a Performance and Professional Development Plan (PPDP)? 608 non-null object Workplace. Topic:Does your workplace promote a work culture free from all forms of unlawful discrimination? 594 non-null object Workplace. Topic:Does your workplace promote and practice the principles of employment equity? 587 non-null object Workplace. Topic:Does your workplace value the diversity of its employees? 586 non-null object Workplace. Topic:Would you recommend the Institute as an employer to others? 581 non-null object Gender. What is your Gender? 596 non-null object CurrentAge. Current Age 596 non-null object Employment Type. Employment Type 596 non-null object Classification. Classification 596 non-null object LengthofServiceOverall. Overall Length of Service at Institute (in years) 596 non-null object LengthofServiceCurrent. Length of Service at current workplace (in years) 596 non-null object dtypes: float64(2), object(70) memory usage: 395.0+ KB None
dete_survey.head()
ID | SeparationType | Cease Date | DETE Start Date | Role Start Date | Position | Classification | Region | Business Unit | Employment Status | ... | Kept informed | Wellness programs | Health & Safety | Gender | Age | Aboriginal | Torres Strait | South Sea | Disability | NESB | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | Ill Health Retirement | 08/2012 | 1984 | 2004 | Public Servant | A01-A04 | Central Office | Corporate Strategy and Peformance | Permanent Full-time | ... | N | N | N | Male | 56-60 | NaN | NaN | NaN | NaN | Yes |
1 | 2 | Voluntary Early Retirement (VER) | 08/2012 | Not Stated | Not Stated | Public Servant | AO5-AO7 | Central Office | Corporate Strategy and Peformance | Permanent Full-time | ... | N | N | N | Male | 56-60 | NaN | NaN | NaN | NaN | NaN |
2 | 3 | Voluntary Early Retirement (VER) | 05/2012 | 2011 | 2011 | Schools Officer | NaN | Central Office | Education Queensland | Permanent Full-time | ... | N | N | N | Male | 61 or older | NaN | NaN | NaN | NaN | NaN |
3 | 4 | Resignation-Other reasons | 05/2012 | 2005 | 2006 | Teacher | Primary | Central Queensland | NaN | Permanent Full-time | ... | A | N | A | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
4 | 5 | Age Retirement | 05/2012 | 1970 | 1989 | Head of Curriculum/Head of Special Education | NaN | South East | NaN | Permanent Full-time | ... | N | A | M | Female | 61 or older | NaN | NaN | NaN | NaN | NaN |
5 rows × 56 columns
tafe_survey.head()
Record ID | Institute | WorkArea | CESSATION YEAR | Reason for ceasing employment | Contributing Factors. Career Move - Public Sector | Contributing Factors. Career Move - Private Sector | Contributing Factors. Career Move - Self-employment | Contributing Factors. Ill Health | Contributing Factors. Maternity/Family | ... | Workplace. Topic:Does your workplace promote a work culture free from all forms of unlawful discrimination? | Workplace. Topic:Does your workplace promote and practice the principles of employment equity? | Workplace. Topic:Does your workplace value the diversity of its employees? | Workplace. Topic:Would you recommend the Institute as an employer to others? | Gender. What is your Gender? | CurrentAge. Current Age | Employment Type. Employment Type | Classification. Classification | LengthofServiceOverall. Overall Length of Service at Institute (in years) | LengthofServiceCurrent. Length of Service at current workplace (in years) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 6.341330e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | Yes | Yes | Yes | Yes | Female | 26 30 | Temporary Full-time | Administration (AO) | 1-2 | 1-2 |
1 | 6.341337e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Retirement | - | - | - | - | - | ... | Yes | Yes | Yes | Yes | NaN | NaN | NaN | NaN | NaN | NaN |
2 | 6.341388e+17 | Mount Isa Institute of TAFE | Delivery (teaching) | 2010.0 | Retirement | - | - | - | - | - | ... | Yes | Yes | Yes | Yes | NaN | NaN | NaN | NaN | NaN | NaN |
3 | 6.341399e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | Yes | Yes | Yes | Yes | NaN | NaN | NaN | NaN | NaN | NaN |
4 | 6.341466e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | Yes | Yes | Yes | Yes | Male | 41 45 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
5 rows × 72 columns
#count the number of NA values in each column
dete_survey.isnull().sum()
ID 0 SeparationType 0 Cease Date 0 DETE Start Date 0 Role Start Date 0 Position 5 Classification 367 Region 0 Business Unit 696 Employment Status 5 Career move to public sector 0 Career move to private sector 0 Interpersonal conflicts 0 Job dissatisfaction 0 Dissatisfaction with the department 0 Physical work environment 0 Lack of recognition 0 Lack of job security 0 Work location 0 Employment conditions 0 Maternity/family 0 Relocation 0 Study/Travel 0 Ill Health 0 Traumatic incident 0 Work life balance 0 Workload 0 None of the above 0 Professional Development 14 Opportunities for promotion 87 Staff morale 6 Workplace issue 34 Physical environment 5 Worklife balance 7 Stress and pressure support 12 Performance of supervisor 9 Peer support 10 Initiative 9 Skills 11 Coach 55 Career Aspirations 76 Feedback 30 Further PD 54 Communication 8 My say 10 Information 6 Kept informed 9 Wellness programs 56 Health & Safety 29 Gender 24 Age 11 Aboriginal 806 Torres Strait 819 South Sea 815 Disability 799 NESB 790 dtype: int64
The dete_survey
contains information about each employee such as age, gender, demographics and also questions about why they left the organisation. There's also lots of information stored here which may not be required for the analysis.
print(tafe_survey.shape)
tafe_survey.isnull().sum()
(702, 72)
Record ID 0 Institute 0 WorkArea 0 CESSATION YEAR 7 Reason for ceasing employment 1 Contributing Factors. Career Move - Public Sector 265 Contributing Factors. Career Move - Private Sector 265 Contributing Factors. Career Move - Self-employment 265 Contributing Factors. Ill Health 265 Contributing Factors. Maternity/Family 265 Contributing Factors. Dissatisfaction 265 Contributing Factors. Job Dissatisfaction 265 Contributing Factors. Interpersonal Conflict 265 Contributing Factors. Study 265 Contributing Factors. Travel 265 Contributing Factors. Other 265 Contributing Factors. NONE 265 Main Factor. Which of these was the main factor for leaving? 589 InstituteViews. Topic:1. I feel the senior leadership had a clear vision and direction 94 InstituteViews. Topic:2. I was given access to skills training to help me do my job better 89 InstituteViews. Topic:3. I was given adequate opportunities for personal development 92 InstituteViews. Topic:4. I was given adequate opportunities for promotion within %Institute]Q25LBL% 94 InstituteViews. Topic:5. I felt the salary for the job was right for the responsibilities I had 87 InstituteViews. Topic:6. The organisation recognised when staff did good work 95 InstituteViews. Topic:7. Management was generally supportive of me 88 InstituteViews. Topic:8. Management was generally supportive of my team 94 InstituteViews. Topic:9. I was kept informed of the changes in the organisation which would affect me 92 InstituteViews. Topic:10. Staff morale was positive within the Institute 100 InstituteViews. Topic:11. If I had a workplace issue it was dealt with quickly 101 InstituteViews. Topic:12. If I had a workplace issue it was dealt with efficiently 105 ... WorkUnitViews. Topic:25. My job allowed me to balance the demands of work and family to my satisfaction 91 WorkUnitViews. Topic:26. My supervisor gave me adequate personal recognition and feedback on my performance 96 WorkUnitViews. Topic:27. My working environment was satisfactory e.g. sufficient space, good lighting, suitable seating and working area 92 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 93 WorkUnitViews. Topic:29. There was adequate communication between staff in my unit 99 WorkUnitViews. Topic:30. Staff morale was positive within my work unit 96 Induction. Did you undertake Workplace Induction? 83 InductionInfo. Topic:Did you undertake a Corporate Induction? 270 InductionInfo. Topic:Did you undertake a Institute Induction? 219 InductionInfo. Topic: Did you undertake Team Induction? 262 InductionInfo. Face to Face Topic:Did you undertake a Corporate Induction; Category:How it was conducted? 147 InductionInfo. On-line Topic:Did you undertake a Corporate Induction; Category:How it was conducted? 147 InductionInfo. Induction Manual Topic:Did you undertake a Corporate Induction? 147 InductionInfo. Face to Face Topic:Did you undertake a Institute Induction? 172 InductionInfo. On-line Topic:Did you undertake a Institute Induction? 147 InductionInfo. Induction Manual Topic:Did you undertake a Institute Induction? 149 InductionInfo. Face to Face Topic: Did you undertake Team Induction; Category? 147 InductionInfo. On-line Topic: Did you undertake Team Induction?process you undertook and how it was conducted.] 147 InductionInfo. Induction Manual Topic: Did you undertake Team Induction? 147 Workplace. Topic:Did you and your Manager develop a Performance and Professional Development Plan (PPDP)? 94 Workplace. Topic:Does your workplace promote a work culture free from all forms of unlawful discrimination? 108 Workplace. Topic:Does your workplace promote and practice the principles of employment equity? 115 Workplace. Topic:Does your workplace value the diversity of its employees? 116 Workplace. Topic:Would you recommend the Institute as an employer to others? 121 Gender. What is your Gender? 106 CurrentAge. Current Age 106 Employment Type. Employment Type 106 Classification. Classification 106 LengthofServiceOverall. Overall Length of Service at Institute (in years) 106 LengthofServiceCurrent. Length of Service at current workplace (in years) 106 Length: 72, dtype: int64
In the tafe_survey
dataframe there are 702 rows and 72 columns. Most of the columns have some missing data. This dataset contains similar information to the dete_survey
however they are presented in a different form.
#As there is lots of information in the dete survey that is not relevant, these columns will be dropped from the analysis.
print(dete_survey.columns[28:49])
dete_survey = pd.read_csv("dete_survey.csv", na_values = "Not Stated")
dete_survey_updated = dete_survey.drop(dete_survey.columns[28:49], axis=1)
dete_survey_updated.shape
Index(['Professional Development', 'Opportunities for promotion', 'Staff morale', 'Workplace issue', 'Physical environment', 'Worklife balance', 'Stress and pressure support', 'Performance of supervisor', 'Peer support', 'Initiative', 'Skills', 'Coach', 'Career Aspirations', 'Feedback', 'Further PD', 'Communication', 'My say', 'Information', 'Kept informed', 'Wellness programs', 'Health & Safety'], dtype='object')
(822, 35)
#similarly for the tafe survey, columns which are not relevant to this analysis will be dropped
print(tafe_survey.columns[17:66])
tafe_survey_updated = tafe_survey.drop(tafe_survey.columns[17:66], axis = 1)
tafe_survey_updated.shape
tafe_survey_updated.head()
Index(['Main Factor. Which of these was the main factor for leaving?', 'InstituteViews. Topic:1. I feel the senior leadership had a clear vision and direction', 'InstituteViews. Topic:2. I was given access to skills training to help me do my job better', 'InstituteViews. Topic:3. I was given adequate opportunities for personal development', 'InstituteViews. Topic:4. I was given adequate opportunities for promotion within %Institute]Q25LBL%', 'InstituteViews. Topic:5. I felt the salary for the job was right for the responsibilities I had', 'InstituteViews. Topic:6. The organisation recognised when staff did good work', 'InstituteViews. Topic:7. Management was generally supportive of me', 'InstituteViews. Topic:8. Management was generally supportive of my team', 'InstituteViews. Topic:9. I was kept informed of the changes in the organisation which would affect me', 'InstituteViews. Topic:10. Staff morale was positive within the Institute', 'InstituteViews. Topic:11. If I had a workplace issue it was dealt with quickly', 'InstituteViews. Topic:12. If I had a workplace issue it was dealt with efficiently', 'InstituteViews. Topic:13. If I had a workplace issue it was dealt with discreetly', 'WorkUnitViews. Topic:14. I was satisfied with the quality of the management and supervision within my work unit', 'WorkUnitViews. Topic:15. I worked well with my colleagues', 'WorkUnitViews. Topic:16. My job was challenging and interesting', 'WorkUnitViews. Topic:17. I was encouraged to use my initiative in the course of my work', 'WorkUnitViews. Topic:18. I had sufficient contact with other people in my job', 'WorkUnitViews. Topic:19. I was given adequate support and co-operation by my peers to enable me to do my job', 'WorkUnitViews. Topic:20. I was able to use the full range of my skills in my job', '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]', 'WorkUnitViews. Topic:22. I was able to use the full range of my knowledge in my job', 'WorkUnitViews. Topic:23. My job provided sufficient variety', 'WorkUnitViews. Topic:24. I was able to cope with the level of stress and pressure in my job', 'WorkUnitViews. Topic:25. My job allowed me to balance the demands of work and family to my satisfaction', 'WorkUnitViews. Topic:26. My supervisor gave me adequate personal recognition and feedback on my performance', 'WorkUnitViews. Topic:27. My working environment was satisfactory e.g. sufficient space, good lighting, suitable seating and working area', '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', 'WorkUnitViews. Topic:29. There was adequate communication between staff in my unit', 'WorkUnitViews. Topic:30. Staff morale was positive within my work unit', 'Induction. Did you undertake Workplace Induction?', 'InductionInfo. Topic:Did you undertake a Corporate Induction?', 'InductionInfo. Topic:Did you undertake a Institute Induction?', 'InductionInfo. Topic: Did you undertake Team Induction?', 'InductionInfo. Face to Face Topic:Did you undertake a Corporate Induction; Category:How it was conducted?', 'InductionInfo. On-line Topic:Did you undertake a Corporate Induction; Category:How it was conducted?', 'InductionInfo. Induction Manual Topic:Did you undertake a Corporate Induction?', 'InductionInfo. Face to Face Topic:Did you undertake a Institute Induction?', 'InductionInfo. On-line Topic:Did you undertake a Institute Induction?', 'InductionInfo. Induction Manual Topic:Did you undertake a Institute Induction?', 'InductionInfo. Face to Face Topic: Did you undertake Team Induction; Category?', 'InductionInfo. On-line Topic: Did you undertake Team Induction?process you undertook and how it was conducted.]', 'InductionInfo. Induction Manual Topic: Did you undertake Team Induction?', 'Workplace. Topic:Did you and your Manager develop a Performance and Professional Development Plan (PPDP)?', 'Workplace. Topic:Does your workplace promote a work culture free from all forms of unlawful discrimination?', 'Workplace. Topic:Does your workplace promote and practice the principles of employment equity?', 'Workplace. Topic:Does your workplace value the diversity of its employees?', 'Workplace. Topic:Would you recommend the Institute as an employer to others?'], dtype='object')
Record ID | Institute | WorkArea | CESSATION YEAR | Reason for ceasing employment | Contributing Factors. Career Move - Public Sector | Contributing Factors. Career Move - Private Sector | Contributing Factors. Career Move - Self-employment | Contributing Factors. Ill Health | Contributing Factors. Maternity/Family | ... | Contributing Factors. Study | Contributing Factors. Travel | Contributing Factors. Other | Contributing Factors. NONE | Gender. What is your Gender? | CurrentAge. Current Age | Employment Type. Employment Type | Classification. Classification | LengthofServiceOverall. Overall Length of Service at Institute (in years) | LengthofServiceCurrent. Length of Service at current workplace (in years) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 6.341330e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 26 30 | Temporary Full-time | Administration (AO) | 1-2 | 1-2 |
1 | 6.341337e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Retirement | - | - | - | - | - | ... | - | Travel | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
2 | 6.341388e+17 | Mount Isa Institute of TAFE | Delivery (teaching) | 2010.0 | Retirement | - | - | - | - | - | ... | - | - | - | NONE | NaN | NaN | NaN | NaN | NaN | NaN |
3 | 6.341399e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | Travel | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
4 | 6.341466e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Male | 41 45 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
5 rows × 23 columns
Columns which will not be used in the analysis have been removed from each dataframe.
dete_survey_updated.columns = dete_survey_updated.columns.str.replace(" ", "_").str.lower()
# Update column names to match the names in dete_survey_updated
mapping = {'Record ID': 'id', 'CESSATION YEAR': 'cease_date', 'Reason for ceasing employment': 'separationtype', 'Gender. What is your Gender?': 'gender', 'CurrentAge. Current Age': 'age',
'Employment Type. Employment Type': 'employment_status',
'Classification. Classification': 'position',
'LengthofServiceOverall. Overall Length of Service at Institute (in years)': 'institute_service',
'LengthofServiceCurrent. Length of Service at current workplace (in years)': 'role_service'}
tafe_survey_updated = tafe_survey_updated.rename(mapping, axis = 1)
# Check that the specified column names were updated correctly
tafe_survey_updated.columns
tafe_survey_updated
id | Institute | WorkArea | cease_date | separationtype | Contributing Factors. Career Move - Public Sector | Contributing Factors. Career Move - Private Sector | Contributing Factors. Career Move - Self-employment | Contributing Factors. Ill Health | Contributing Factors. Maternity/Family | ... | Contributing Factors. Study | Contributing Factors. Travel | Contributing Factors. Other | Contributing Factors. NONE | gender | age | employment_status | position | institute_service | role_service | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 6.341330e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 26 30 | Temporary Full-time | Administration (AO) | 1-2 | 1-2 |
1 | 6.341337e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Retirement | - | - | - | - | - | ... | - | Travel | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
2 | 6.341388e+17 | Mount Isa Institute of TAFE | Delivery (teaching) | 2010.0 | Retirement | - | - | - | - | - | ... | - | - | - | NONE | NaN | NaN | NaN | NaN | NaN | NaN |
3 | 6.341399e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | Travel | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
4 | 6.341466e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Male | 41 45 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
5 | 6.341475e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 56 or older | Contract/casual | Teacher (including LVT) | 7-10 | 7-10 |
6 | 6.341520e+17 | Barrier Reef Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | Maternity/Family | ... | - | - | Other | - | Male | 20 or younger | Temporary Full-time | Administration (AO) | 3-4 | 3-4 |
7 | 6.341537e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Male | 46 50 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
8 | 6.341579e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2009.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 36 40 | Temporary Full-time | Tutor | 3-4 | 3-4 |
9 | 6.341588e+17 | Barrier Reef Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | Other | - | Female | 21 25 | Permanent Full-time | Administration (AO) | 1-2 | 1-2 |
10 | 6.341588e+17 | Barrier Reef Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Female | 41 45 | Temporary Part-time | Administration (AO) | Less than 1 year | Less than 1 year |
11 | 6.341719e+17 | Barrier Reef Institute of TAFE | Delivery (teaching) | 2010.0 | Retrenchment/ Redundancy | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Male | 56 or older | Permanent Part-time | Tutor | 11-20 | 11-20 |
12 | 6.341719e+17 | Barrier Reef Institute of TAFE | Delivery (teaching) | 2010.0 | Retrenchment/ Redundancy | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Male | 51-55 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
13 | 6.341725e+17 | Barrier Reef Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Female | 31 35 | Temporary Full-time | Administration (AO) | 11-20 | Less than 1 year |
14 | 6.341726e+17 | Central Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Female | 31 35 | Permanent Part-time | Teacher (including LVT) | 7-10 | 7-10 |
15 | 6.341761e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 46 50 | Permanent Part-time | Technical Officer (TO) | 11-20 | 11-20 |
16 | 6.341770e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
17 | 6.341771e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Female | 31 35 | Permanent Full-time | Administration (AO) | 7-10 | 1-2 |
18 | 6.341779e+17 | Brisbane North Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
19 | 6.341820e+17 | Southbank Institute of Technology | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | - | NONE | NaN | NaN | NaN | NaN | NaN | NaN |
20 | 6.341821e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
21 | 6.341831e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
22 | 6.341847e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | Other | - | Male | 26 30 | Temporary Full-time | Administration (AO) | 5-6 | 5-6 |
23 | 6.341907e+17 | Central Queensland Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | - | - | Female | 26 30 | Contract/casual | Administration (AO) | Less than 1 year | Less than 1 year |
24 | 6.341907e+17 | Central Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Female | 31 35 | Permanent Part-time | Teacher (including LVT) | 7-10 | 7-10 |
25 | 6.341909e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 41 45 | Temporary Full-time | Administration (AO) | Less than 1 year | Less than 1 year |
26 | 6.341934e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
27 | 6.341935e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Male | 56 or older | Temporary Full-time | Administration (AO) | More than 20 years | 7-10 |
28 | 6.341951e+17 | Central Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Retirement | - | - | - | - | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
29 | 6.341994e+17 | Barrier Reef Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Female | 31 35 | Temporary Full-time | Administration (AO) | Less than 1 year | Less than 1 year |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
672 | 6.350132e+17 | Tropical North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Retirement | - | - | - | Ill Health | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
673 | 6.350166e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Retrenchment/ Redundancy | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Male | 41 45 | Temporary Full-time | Administration (AO) | 1-2 | 1-2 |
674 | 6.350170e+17 | Sunshine Coast Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Retrenchment/ Redundancy | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 51-55 | Temporary Part-time | Operational (OO) | Less than 1 year | Less than 1 year |
675 | 6.350175e+17 | Tropical North Institute of TAFE | Delivery (teaching) | 2013.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Male | 51-55 | Temporary Full-time | Teacher (including LVT) | Less than 1 year | Less than 1 year |
676 | 6.350194e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Female | 41 45 | Contract/casual | Administration (AO) | 1-2 | Less than 1 year |
677 | 6.350219e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 36 40 | Temporary Full-time | Administration (AO) | Less than 1 year | Less than 1 year |
678 | 6.350253e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Male | 51-55 | Permanent Full-time | Administration (AO) | 3-4 | 3-4 |
679 | 6.350279e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | Ill Health | - | ... | - | - | - | - | Female | 56 or older | Temporary Part-time | Operational (OO) | 1-2 | 1-2 |
680 | 6.350306e+17 | Brisbane North Institute of TAFE | Delivery (teaching) | 2013.0 | Retrenchment/ Redundancy | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Male | 41 45 | Permanent Full-time | Administration (AO) | 5-6 | 3-4 |
681 | 6.350314e+17 | Central Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 26 30 | Temporary Full-time | Administration (AO) | Less than 1 year | Less than 1 year |
682 | 6.350357e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Female | 26 30 | Permanent Part-time | Administration (AO) | Less than 1 year | Less than 1 year |
683 | 6.350374e+17 | Central Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 41 45 | Temporary Full-time | Administration (AO) | Less than 1 year | Less than 1 year |
684 | 6.350375e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Male | 41 45 | Contract/casual | Administration (AO) | 3-4 | Less than 1 year |
685 | 6.350402e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | - | - | ... | - | - | - | - | Female | 26 30 | Temporary Full-time | Technical Officer (TO) | 1-2 | 1-2 |
686 | 6.350426e+17 | Brisbane North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Female | 41 45 | Temporary Full-time | Administration (AO) | 5-6 | 5-6 |
687 | 6.350428e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Termination | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 36 40 | Temporary Full-time | Administration (AO) | 3-4 | 3-4 |
688 | 6.350479e+17 | Tropical North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | - | - | ... | - | - | - | NONE | Female | 46 50 | Permanent Part-time | Professional Officer (PO) | 5-6 | 5-6 |
689 | 6.350480e+17 | Central Queensland Institute of TAFE | Delivery (teaching) | 2013.0 | Resignation | - | - | - | Ill Health | - | ... | - | - | - | - | Male | 41 45 | Permanent Full-time | Teacher (including LVT) | Less than 1 year | Less than 1 year |
690 | 6.350496e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | Ill Health | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
691 | 6.350496e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | - | Ill Health | - | ... | - | - | - | - | Female | 56 or older | Permanent Part-time | Operational (OO) | 3-4 | 3-4 |
692 | 6.350592e+17 | Mount Isa Institute of TAFE | Delivery (teaching) | 2013.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
693 | 6.350599e+17 | Tropical North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Female | 26 30 | Temporary Full-time | Administration (AO) | 1-2 | 1-2 |
694 | 6.350652e+17 | Sunshine Coast Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
695 | 6.350653e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2013.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 56 or older | Temporary Part-time | Teacher (including LVT) | Less than 1 year | Less than 1 year |
696 | 6.350660e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Male | 21 25 | Temporary Full-time | Operational (OO) | 5-6 | 5-6 |
697 | 6.350668e+17 | Barrier Reef Institute of TAFE | Delivery (teaching) | 2013.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | Male | 51-55 | Temporary Full-time | Teacher (including LVT) | 1-2 | 1-2 |
698 | 6.350677e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | Career Move - Public Sector | - | - | - | - | ... | - | - | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
699 | 6.350704e+17 | Tropical North Institute of TAFE | Delivery (teaching) | 2013.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 51-55 | Permanent Full-time | Teacher (including LVT) | 5-6 | 1-2 |
700 | 6.350712e+17 | Southbank Institute of Technology | Non-Delivery (corporate) | 2013.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 41 45 | Temporary Full-time | Professional Officer (PO) | 1-2 | 1-2 |
701 | 6.350730e+17 | Tropical North Institute of TAFE | Non-Delivery (corporate) | 2013.0 | Resignation | - | - | Career Move - Self-employment | - | - | ... | - | Travel | - | - | Female | 26 30 | Contract/casual | Administration (AO) | 3-4 | 1-2 |
702 rows × 23 columns
dete_survey_updated.head()
id | separationtype | cease_date | dete_start_date | role_start_date | position | classification | region | business_unit | employment_status | ... | work_life_balance | workload | none_of_the_above | gender | age | aboriginal | torres_strait | south_sea | disability | nesb | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | Ill Health Retirement | 08/2012 | 1984.0 | 2004.0 | Public Servant | A01-A04 | Central Office | Corporate Strategy and Peformance | Permanent Full-time | ... | False | False | True | Male | 56-60 | NaN | NaN | NaN | NaN | Yes |
1 | 2 | Voluntary Early Retirement (VER) | 08/2012 | NaN | NaN | Public Servant | AO5-AO7 | Central Office | Corporate Strategy and Peformance | Permanent Full-time | ... | False | False | False | Male | 56-60 | NaN | NaN | NaN | NaN | NaN |
2 | 3 | Voluntary Early Retirement (VER) | 05/2012 | 2011.0 | 2011.0 | Schools Officer | NaN | Central Office | Education Queensland | Permanent Full-time | ... | False | False | True | Male | 61 or older | NaN | NaN | NaN | NaN | NaN |
3 | 4 | Resignation-Other reasons | 05/2012 | 2005.0 | 2006.0 | Teacher | Primary | Central Queensland | NaN | Permanent Full-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
4 | 5 | Age Retirement | 05/2012 | 1970.0 | 1989.0 | Head of Curriculum/Head of Special Education | NaN | South East | NaN | Permanent Full-time | ... | True | False | False | Female | 61 or older | NaN | NaN | NaN | NaN | NaN |
5 rows × 35 columns
tafe_survey_updated.head()
id | Institute | WorkArea | cease_date | separationtype | Contributing Factors. Career Move - Public Sector | Contributing Factors. Career Move - Private Sector | Contributing Factors. Career Move - Self-employment | Contributing Factors. Ill Health | Contributing Factors. Maternity/Family | ... | Contributing Factors. Study | Contributing Factors. Travel | Contributing Factors. Other | Contributing Factors. NONE | gender | age | employment_status | position | institute_service | role_service | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 6.341330e+17 | Southern Queensland Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Contract Expired | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | Female | 26 30 | Temporary Full-time | Administration (AO) | 1-2 | 1-2 |
1 | 6.341337e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Retirement | - | - | - | - | - | ... | - | Travel | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
2 | 6.341388e+17 | Mount Isa Institute of TAFE | Delivery (teaching) | 2010.0 | Retirement | - | - | - | - | - | ... | - | - | - | NONE | NaN | NaN | NaN | NaN | NaN | NaN |
3 | 6.341399e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | Travel | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
4 | 6.341466e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Male | 41 45 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
5 rows × 23 columns
Columns have been renamed to make analysis easier and to reduce the liklihood of mistakes. Also, columns which are not relevent to the analysis have been removed.
The stakeholders are interested in why employees resign, therefore only keep entries relating to resignations.
dete_survey_updated['separationtype'].value_counts()
Age Retirement 285 Resignation-Other reasons 150 Resignation-Other employer 91 Resignation-Move overseas/interstate 70 Voluntary Early Retirement (VER) 67 Ill Health Retirement 61 Other 49 Contract Expired 34 Termination 15 Name: separationtype, dtype: int64
tafe_survey_updated['separationtype'].value_counts()
Resignation 340 Contract Expired 127 Retrenchment/ Redundancy 104 Retirement 82 Transfer 25 Termination 23 Name: separationtype, dtype: int64
dete_resig_logic = dete_survey_updated['separationtype'].str.contains("Resignation")
#print(dete_resig_logic)
dete_resignations = dete_survey_updated[dete_resig_logic].copy()
dete_resignations.head()
id | separationtype | cease_date | dete_start_date | role_start_date | position | classification | region | business_unit | employment_status | ... | work_life_balance | workload | none_of_the_above | gender | age | aboriginal | torres_strait | south_sea | disability | nesb | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 4 | Resignation-Other reasons | 05/2012 | 2005.0 | 2006.0 | Teacher | Primary | Central Queensland | NaN | Permanent Full-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
5 | 6 | Resignation-Other reasons | 05/2012 | 1994.0 | 1997.0 | Guidance Officer | NaN | Central Office | Education Queensland | Permanent Full-time | ... | False | False | False | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
8 | 9 | Resignation-Other reasons | 07/2012 | 2009.0 | 2009.0 | Teacher | Secondary | North Queensland | NaN | Permanent Full-time | ... | False | False | False | Female | 31-35 | NaN | NaN | NaN | NaN | NaN |
9 | 10 | Resignation-Other employer | 2012 | 1997.0 | 2008.0 | Teacher Aide | NaN | NaN | NaN | Permanent Part-time | ... | False | False | False | Female | 46-50 | NaN | NaN | NaN | NaN | NaN |
11 | 12 | Resignation-Move overseas/interstate | 2012 | 2009.0 | 2009.0 | Teacher | Secondary | Far North Queensland | NaN | Permanent Full-time | ... | False | False | False | Male | 31-35 | NaN | NaN | NaN | NaN | NaN |
5 rows × 35 columns
tafe_resig_logic = tafe_survey_updated['separationtype'].str.contains("Resignation", na=False)
#print(tafe_resig_logic)
tafe_resignations = tafe_survey_updated[tafe_resig_logic].copy()
tafe_resignations.head()
id | Institute | WorkArea | cease_date | separationtype | Contributing Factors. Career Move - Public Sector | Contributing Factors. Career Move - Private Sector | Contributing Factors. Career Move - Self-employment | Contributing Factors. Ill Health | Contributing Factors. Maternity/Family | ... | Contributing Factors. Study | Contributing Factors. Travel | Contributing Factors. Other | Contributing Factors. NONE | gender | age | employment_status | position | institute_service | role_service | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 6.341399e+17 | Mount Isa Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | - | - | - | - | ... | - | Travel | - | - | NaN | NaN | NaN | NaN | NaN | NaN |
4 | 6.341466e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | - | ... | - | - | - | - | Male | 41 45 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
5 | 6.341475e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Female | 56 or older | Contract/casual | Teacher (including LVT) | 7-10 | 7-10 |
6 | 6.341520e+17 | Barrier Reef Institute of TAFE | Non-Delivery (corporate) | 2010.0 | Resignation | - | Career Move - Private Sector | - | - | Maternity/Family | ... | - | - | Other | - | Male | 20 or younger | Temporary Full-time | Administration (AO) | 3-4 | 3-4 |
7 | 6.341537e+17 | Southern Queensland Institute of TAFE | Delivery (teaching) | 2010.0 | Resignation | - | - | - | - | - | ... | - | - | Other | - | Male | 46 50 | Permanent Full-time | Teacher (including LVT) | 3-4 | 3-4 |
5 rows × 23 columns
The dete_resignations dataset contains information on cease_date but the format is not consistent. Explore the date data in both datasets and ensure it is consistent.
print(dete_resignations["cease_date"].value_counts(dropna = False))
#print(dete_resignations[[770])
#pattern = r"(20[0-1][0-9])"
pattern = r"(?P<Year>20[0-9]{2})"
#r"([1-2][0-9]{3})"
dete_resignations['cease_date'] = dete_resignations['cease_date'].str.extract(pattern, expand = True).astype(float)
#print(resig_years)
print(dete_resignations.head())
2012 126 2013 74 01/2014 22 12/2013 17 06/2013 14 09/2013 11 NaN 11 11/2013 9 07/2013 9 10/2013 6 08/2013 4 05/2012 2 05/2013 2 09/2010 1 2010 1 07/2006 1 07/2012 1 Name: cease_date, dtype: int64 id separationtype cease_date dete_start_date \ 3 4 Resignation-Other reasons 2012.0 2005.0 5 6 Resignation-Other reasons 2012.0 1994.0 8 9 Resignation-Other reasons 2012.0 2009.0 9 10 Resignation-Other employer 2012.0 1997.0 11 12 Resignation-Move overseas/interstate 2012.0 2009.0 role_start_date position classification region \ 3 2006.0 Teacher Primary Central Queensland 5 1997.0 Guidance Officer NaN Central Office 8 2009.0 Teacher Secondary North Queensland 9 2008.0 Teacher Aide NaN NaN 11 2009.0 Teacher Secondary Far North Queensland business_unit employment_status ... work_life_balance \ 3 NaN Permanent Full-time ... False 5 Education Queensland Permanent Full-time ... False 8 NaN Permanent Full-time ... False 9 NaN Permanent Part-time ... False 11 NaN Permanent Full-time ... False workload none_of_the_above gender age aboriginal torres_strait \ 3 False False Female 36-40 NaN NaN 5 False False Female 41-45 NaN NaN 8 False False Female 31-35 NaN NaN 9 False False Female 46-50 NaN NaN 11 False False Male 31-35 NaN NaN south_sea disability nesb 3 NaN NaN NaN 5 NaN NaN NaN 8 NaN NaN NaN 9 NaN NaN NaN 11 NaN NaN NaN [5 rows x 35 columns]
The cease_date
column in the dete_resignations
data frame has been extracted and cleaned to only include the year. Resignations occur between the years 2006 and 2013 with the majority occurring in 2012 and 2013. There are 11 instances where the cease_date
was not recorded.
dete_resignations['dete_start_date'].value_counts(dropna=False).sort_index(ascending=True)
1963.0 1 1971.0 1 1972.0 1 1973.0 1 1974.0 2 1975.0 1 1976.0 2 1977.0 1 1980.0 5 1982.0 1 1983.0 2 1984.0 1 1985.0 3 1986.0 3 1987.0 1 1988.0 4 1989.0 4 1990.0 5 1991.0 4 1992.0 6 1993.0 5 1994.0 6 1995.0 4 1996.0 6 1997.0 5 1998.0 6 1999.0 8 2000.0 9 2001.0 3 2002.0 6 2003.0 6 2004.0 14 2005.0 15 2006.0 13 2007.0 21 2008.0 22 2009.0 13 2010.0 17 2011.0 24 2012.0 21 2013.0 10 NaN 28 Name: dete_start_date, dtype: int64
The dete_start_date
varies from 1963 to 2013. Although 1963 is quite early, there is nothing to suggest that it is an error.
tafe_resignations['cease_date'].value_counts(dropna = False).sort_index(ascending = True)
2009.0 2 2010.0 68 2011.0 116 2012.0 94 2013.0 55 NaN 5 Name: cease_date, dtype: int64
In the tafe_resignations
dataset the cease_date
column contains the years 2009-2013 and also 5 NaN entries.
Compared with the dete_resignations
dataset, the cease_date
column is quite similar except that it contains an entry for 2006 so it may be worth dropping this entry.
The tafe_resignations dataset contains a length of service column called 'institute service'. Create the equivalent column in the dete_resignations dataset to enable comparisons to be made.
dete_resignations['institute_service'] = dete_resignations['cease_date'] - dete_resignations['dete_start_date']
print(dete_resignations.head())
id separationtype cease_date dete_start_date \ 3 4 Resignation-Other reasons 2012.0 2005.0 5 6 Resignation-Other reasons 2012.0 1994.0 8 9 Resignation-Other reasons 2012.0 2009.0 9 10 Resignation-Other employer 2012.0 1997.0 11 12 Resignation-Move overseas/interstate 2012.0 2009.0 role_start_date position classification region \ 3 2006.0 Teacher Primary Central Queensland 5 1997.0 Guidance Officer NaN Central Office 8 2009.0 Teacher Secondary North Queensland 9 2008.0 Teacher Aide NaN NaN 11 2009.0 Teacher Secondary Far North Queensland business_unit employment_status ... workload \ 3 NaN Permanent Full-time ... False 5 Education Queensland Permanent Full-time ... False 8 NaN Permanent Full-time ... False 9 NaN Permanent Part-time ... False 11 NaN Permanent Full-time ... False none_of_the_above gender age aboriginal torres_strait south_sea \ 3 False Female 36-40 NaN NaN NaN 5 False Female 41-45 NaN NaN NaN 8 False Female 31-35 NaN NaN NaN 9 False Female 46-50 NaN NaN NaN 11 False Male 31-35 NaN NaN NaN disability nesb institute_service 3 NaN NaN 7.0 5 NaN NaN 18.0 8 NaN NaN 3.0 9 NaN NaN 15.0 11 NaN NaN 3.0 [5 rows x 36 columns]
A new column institute_service
has been created in the dete_resignations
dataset to enable direct comparison with a column in the tafe_resignations
dataset.
In order to be able to compare employees 'dissatisfaction' across the two datasets, the columns relating to dissatisfaction need to be simplified. To do this, if an entry in either dataset contains values which indicate dissatisfaction, then a new column will be marked 'True' for dissatifcation. This way, both datasets will end up with a column containing binary/logic data i.e. True/False and thus can be compared.
print(tafe_resignations['Contributing Factors. Dissatisfaction'].value_counts(dropna = False))
print(tafe_resignations['Contributing Factors. Job Dissatisfaction'].value_counts(dropna = False))
print(tafe_resignations['Contributing Factors. Dissatisfaction'].head(50))
- 277 Contributing Factors. Dissatisfaction 55 NaN 8 Name: Contributing Factors. Dissatisfaction, dtype: int64 - 270 Job Dissatisfaction 62 NaN 8 Name: Contributing Factors. Job Dissatisfaction, dtype: int64 3 - 4 - 5 - 6 - 7 - 8 - 9 - 10 - 13 - 14 Contributing Factors. Dissatisfaction 15 - 16 NaN 17 - 18 NaN 19 - 20 Contributing Factors. Dissatisfaction 21 - 22 - 23 - 24 - 26 Contributing Factors. Dissatisfaction 27 - 29 - 32 - 36 - 37 - 39 - 40 Contributing Factors. Dissatisfaction 41 - 42 - 45 - 46 - 47 Contributing Factors. Dissatisfaction 49 - 51 NaN 52 - 53 - 54 Contributing Factors. Dissatisfaction 55 - 56 - 58 - 63 - 64 Contributing Factors. Dissatisfaction 65 Contributing Factors. Dissatisfaction 66 - 69 - 71 Contributing Factors. Dissatisfaction 72 - 74 - 79 - Name: Contributing Factors. Dissatisfaction, dtype: object
def update_vals(value):
if pd.isnull(value) == True:
return(np.nan)
elif value == '-':
return(False)
else:
return(True)
tester = ['NaN', 'diss', '-', '-', 'diss', 'NaN']
cols_to_update = ['Contributing Factors. Dissatisfaction', 'Contributing Factors. Job Dissatisfaction']
#print(tafe_resignations[cols_to_update].head())
#tafe_resignations[cols_to_update] =
tafe_factors = tafe_resignations[cols_to_update].applymap(update_vals)
tafe_resignations['dissatisfied'] = tafe_factors.any(axis=1, skipna = False)
print(tafe_resignations.head())
print(tafe_resignations['dissatisfied'].value_counts(dropna = False))
tafe_resignations_up = tafe_resignations.copy()
id Institute \ 3 6.341399e+17 Mount Isa Institute of TAFE 4 6.341466e+17 Southern Queensland Institute of TAFE 5 6.341475e+17 Southern Queensland Institute of TAFE 6 6.341520e+17 Barrier Reef Institute of TAFE 7 6.341537e+17 Southern Queensland Institute of TAFE WorkArea cease_date separationtype \ 3 Non-Delivery (corporate) 2010.0 Resignation 4 Delivery (teaching) 2010.0 Resignation 5 Delivery (teaching) 2010.0 Resignation 6 Non-Delivery (corporate) 2010.0 Resignation 7 Delivery (teaching) 2010.0 Resignation Contributing Factors. Career Move - Public Sector \ 3 - 4 - 5 - 6 - 7 - Contributing Factors. Career Move - Private Sector \ 3 - 4 Career Move - Private Sector 5 - 6 Career Move - Private Sector 7 - Contributing Factors. Career Move - Self-employment \ 3 - 4 - 5 - 6 - 7 - Contributing Factors. Ill Health Contributing Factors. Maternity/Family \ 3 - - 4 - - 5 - - 6 - Maternity/Family 7 - - ... Contributing Factors. Travel Contributing Factors. Other \ 3 ... Travel - 4 ... - - 5 ... - Other 6 ... - Other 7 ... - Other Contributing Factors. NONE gender age employment_status \ 3 - NaN NaN NaN 4 - Male 41 45 Permanent Full-time 5 - Female 56 or older Contract/casual 6 - Male 20 or younger Temporary Full-time 7 - Male 46 50 Permanent Full-time position institute_service role_service dissatisfied 3 NaN NaN NaN False 4 Teacher (including LVT) 3-4 3-4 False 5 Teacher (including LVT) 7-10 7-10 False 6 Administration (AO) 3-4 3-4 False 7 Teacher (including LVT) 3-4 3-4 False [5 rows x 24 columns] False 241 True 91 NaN 8 Name: dissatisfied, dtype: int64
dete_cols = ['job_dissatisfaction', 'dissatisfaction_with_the_department', 'physical_work_environment',
'lack_of_recognition', 'lack_of_job_security', 'work_location',
'employment_conditions', 'work_life_balance', 'workload']
diss_cols = dete_resignations[dete_cols]
print(diss_cols.head(10))
dete_resignations['dissatisfied'] = diss_cols.any(axis=1, skipna = False)
print(dete_resignations['dissatisfied'].value_counts(dropna = False))
print(dete_resignations.head(10))
dete_resignations_up = dete_resignations.copy()
job_dissatisfaction dissatisfaction_with_the_department \ 3 False False 5 False False 8 False False 9 True True 11 False False 12 False False 14 True True 16 False False 20 False False 21 False False physical_work_environment lack_of_recognition lack_of_job_security \ 3 False False False 5 False False False 8 False False False 9 False False False 11 False False False 12 False False False 14 False False False 16 False True False 20 False False False 21 False False False work_location employment_conditions work_life_balance workload 3 False False False False 5 False True False False 8 False False False False 9 False False False False 11 False False False False 12 False False False False 14 False False False False 16 False False False False 20 False False False False 21 False False False False False 162 True 149 Name: dissatisfied, dtype: int64 id separationtype cease_date dete_start_date \ 3 4 Resignation-Other reasons 2012.0 2005.0 5 6 Resignation-Other reasons 2012.0 1994.0 8 9 Resignation-Other reasons 2012.0 2009.0 9 10 Resignation-Other employer 2012.0 1997.0 11 12 Resignation-Move overseas/interstate 2012.0 2009.0 12 13 Resignation-Other reasons 2012.0 1998.0 14 15 Resignation-Other employer 2012.0 2007.0 16 17 Resignation-Other reasons 2012.0 NaN 20 21 Resignation-Other employer 2012.0 1982.0 21 22 Resignation-Other reasons 2012.0 1980.0 role_start_date position classification \ 3 2006.0 Teacher Primary 5 1997.0 Guidance Officer NaN 8 2009.0 Teacher Secondary 9 2008.0 Teacher Aide NaN 11 2009.0 Teacher Secondary 12 1998.0 Teacher Primary 14 2010.0 Teacher Secondary 16 NaN Teacher Aide NaN 20 1982.0 Teacher Secondary 21 2009.0 Cleaner NaN region business_unit employment_status \ 3 Central Queensland NaN Permanent Full-time 5 Central Office Education Queensland Permanent Full-time 8 North Queensland NaN Permanent Full-time 9 NaN NaN Permanent Part-time 11 Far North Queensland NaN Permanent Full-time 12 Far North Queensland NaN Permanent Full-time 14 Central Queensland NaN Permanent Full-time 16 South East NaN Permanent Part-time 20 Central Queensland NaN Permanent Full-time 21 Darling Downs South West NaN Permanent Part-time ... none_of_the_above gender age aboriginal \ 3 ... False Female 36-40 NaN 5 ... False Female 41-45 NaN 8 ... False Female 31-35 NaN 9 ... False Female 46-50 NaN 11 ... False Male 31-35 NaN 12 ... False Female 36-40 NaN 14 ... False Male 31-35 NaN 16 ... False Male 61 or older NaN 20 ... True Male 56-60 NaN 21 ... False Female 51-55 NaN torres_strait south_sea disability nesb institute_service \ 3 NaN NaN NaN NaN 7.0 5 NaN NaN NaN NaN 18.0 8 NaN NaN NaN NaN 3.0 9 NaN NaN NaN NaN 15.0 11 NaN NaN NaN NaN 3.0 12 NaN NaN NaN NaN 14.0 14 NaN NaN NaN NaN 5.0 16 NaN NaN NaN NaN NaN 20 NaN NaN NaN NaN 30.0 21 NaN NaN NaN NaN 32.0 dissatisfied 3 False 5 True 8 False 9 True 11 False 12 False 14 True 16 True 20 False 21 False [10 rows x 37 columns]
#create a column containing the institute to enable to results to be compared by institute later on
dete_resignations_up['institute'] = 'DETE'
tafe_resignations_up['institute'] = 'TAFE'
combined = pd.concat([dete_resignations_up, tafe_resignations_up], ignore_index=True)
#print(combined.head())
combined_updated = combined.dropna(thresh = 500, axis =1).copy()
print(combined_updated.head())
print(combined_updated.shape)
age cease_date dissatisfied employment_status gender id \ 0 36-40 2012.0 False Permanent Full-time Female 4.0 1 41-45 2012.0 True Permanent Full-time Female 6.0 2 31-35 2012.0 False Permanent Full-time Female 9.0 3 46-50 2012.0 True Permanent Part-time Female 10.0 4 31-35 2012.0 False Permanent Full-time Male 12.0 institute institute_service position \ 0 DETE 7 Teacher 1 DETE 18 Guidance Officer 2 DETE 3 Teacher 3 DETE 15 Teacher Aide 4 DETE 3 Teacher separationtype 0 Resignation-Other reasons 1 Resignation-Other reasons 2 Resignation-Other reasons 3 Resignation-Other employer 4 Resignation-Move overseas/interstate (651, 10)
#print(combined_updated['institute_service'].value_counts(dropna=False))
def update_service(x):
if x in ['Less than 1 year', '1-2', 0, 1, 2]:
return("< 3 yrs")
elif x in ['3-4', '5-6', 3, 4, 5, 6]:
return("3-6 yrs")
elif x in ['7-10', 7, 8, 9, 10]:
return("7-10 yrs")
elif x in ['11-20', 'More than 20 years']:
return("11+ yrs")
elif x > 10:
return("11+ yrs")
else:
return(x)
combined_updated['institute_service'].head()
combined_updated['service_cat'] = combined_updated['institute_service'].apply(update_service)
print(combined_updated.head())
print(combined_updated['service_cat'].value_counts(dropna = False))
age cease_date dissatisfied employment_status gender id \ 0 36-40 2012.0 False Permanent Full-time Female 4.0 1 41-45 2012.0 True Permanent Full-time Female 6.0 2 31-35 2012.0 False Permanent Full-time Female 9.0 3 46-50 2012.0 True Permanent Part-time Female 10.0 4 31-35 2012.0 False Permanent Full-time Male 12.0 institute institute_service position \ 0 DETE 7 Teacher 1 DETE 18 Guidance Officer 2 DETE 3 Teacher 3 DETE 15 Teacher Aide 4 DETE 3 Teacher separationtype service_cat 0 Resignation-Other reasons 7-10 yrs 1 Resignation-Other reasons 11+ yrs 2 Resignation-Other reasons 3-6 yrs 3 Resignation-Other employer 11+ yrs 4 Resignation-Move overseas/interstate 3-6 yrs < 3 yrs 193 3-6 yrs 172 11+ yrs 136 NaN 88 7-10 yrs 62 Name: service_cat, dtype: int64
combined_updated['dissatisfied'].value_counts(dropna= False)
False 403 True 240 NaN 8 Name: dissatisfied, dtype: int64
combined_updated['dissatisfied'] = combined_updated['dissatisfied'].fillna(False)
combined_updated['dissatisfied'].value_counts(dropna= False)
False 411 True 240 Name: dissatisfied, dtype: int64
combined_pivot = combined_updated.pivot_table(index = 'service_cat', values = 'dissatisfied')
%matplotlib inline
combined_pivot.plot(kind = "bar", title = "Dissatisfaction by No. Years Service", xlim = (0,1))
<matplotlib.axes._subplots.AxesSubplot at 0x7fe84efc7828>
The plot shows that the group most likely to be dissatisfied is those working in the organisation between 7 and 10 years. Those working less than three years are least likely to have left due to dissatisfaction.
Although the first part of this project looked at both institutes combined together, it would be interesting to know which institute has more employees leaving due to dissatisfaction.
#print(combined_updated.head())
pivot_by_institute = combined_updated.pivot_table(index = 'institute', values = 'dissatisfied')
#print(pivot_by_institute)
pivot_by_institute.plot(kind = "bar", title = "Dissatisfaction by Institute", xlim = (0,1))
dissatisfied institute DETE 0.479100 TAFE 0.267647
<matplotlib.axes._subplots.AxesSubplot at 0x7fe84ce0e780>
This is interesting - out of all the employees that leave DETE, nearly 50% leave because they are dissatisfied. Out of the employees that leave TAFE, 27% leave because they are dissatisfied.
#print(combined_updated.head())
pivot_by_gender = combined_updated.pivot_table(index = 'gender', values = 'dissatisfied')
print(pivot_by_institute)
pivot_by_gender.plot(kind = "bar", title = "Dissatisfaction by Gender", xlim = (0,1))
dissatisfied institute DETE 0.479100 TAFE 0.267647
<matplotlib.axes._subplots.AxesSubplot at 0x7fe84cc17550>
There isn't a great deal of difference here. Slightly more men cite dissatisfaction as a reason for leaving than women.
#print(combined_updated.head())
print(combined_updated['cease_date'].value_counts(dropna=False))
pivot_by_ceasedate = combined_updated[combined_updated['cease_date'] > 2009].pivot_table(index = 'cease_date', values = 'dissatisfied')
pivot_by_ceasedate.plot(kind = "barh", title = "Dissatisfaction by cease date", xlim = (0,0.5))
2012.0 223 2013.0 201 2011.0 116 2010.0 70 2014.0 22 NaN 16 2009.0 2 2006.0 1 Name: cease_date, dtype: int64
<matplotlib.axes._subplots.AxesSubplot at 0x7fe84c968128>
It appears that of those that left in 2010 and 2011, a smaller proportion expressed disatisfaction compared to those who left in 2012-2014. It would be interesting to know if anything caused this change i.e. a change of management, recession, etc.
There is only a couple of data entries for the years 2006 and 2009 so these entries have been removed.
It would be good to identify whether certain ages of people leaving were more likely to express dissatisfaction. However, first the age column requires cleaning.
print(combined_updated['age'].value_counts(dropna=False))
updated_age = combined_updated['age'].str.replace(" or older", "").str.replace(" ", "-").str.replace(" ", "-")
def change_age(x):
if x in ['56', '56-60', '61']:
return "56+"
if x == "20-or-younger":
return "under 21"
else:
return x
updated_age_2 = updated_age.apply(change_age)
print(updated_age_2.value_counts(dropna=False))
combined_updated['age_updated'] = updated_age_2
print(combined_updated.head(20))
51-55 71 NaN 55 41-45 48 41 45 45 46-50 42 36-40 41 46 50 39 26-30 35 21 25 33 26 30 32 31 35 32 36 40 32 56 or older 29 21-25 29 31-35 29 56-60 26 61 or older 23 20 or younger 10 Name: age, dtype: int64 41-45 93 46-50 81 56+ 78 36-40 73 51-55 71 26-30 67 21-25 62 31-35 61 NaN 55 under 21 10 Name: age, dtype: int64 age cease_date dissatisfied employment_status gender id \ 0 36-40 2012.0 False Permanent Full-time Female 4.0 1 41-45 2012.0 True Permanent Full-time Female 6.0 2 31-35 2012.0 False Permanent Full-time Female 9.0 3 46-50 2012.0 True Permanent Part-time Female 10.0 4 31-35 2012.0 False Permanent Full-time Male 12.0 5 36-40 2012.0 False Permanent Full-time Female 13.0 6 31-35 2012.0 True Permanent Full-time Male 15.0 7 61 or older 2012.0 True Permanent Part-time Male 17.0 8 56-60 2012.0 False Permanent Full-time Male 21.0 9 51-55 2012.0 False Permanent Part-time Female 22.0 10 46-50 2012.0 True Permanent Part-time Female 23.0 11 61 or older 2012.0 True Permanent Full-time Female 24.0 12 41-45 2012.0 True Permanent Part-time Female 26.0 13 21-25 2012.0 False Permanent Full-time Female 28.0 14 36-40 2012.0 True Permanent Full-time Male 34.0 15 61 or older 2012.0 True Permanent Part-time Male 35.0 16 21-25 2012.0 False Temporary Part-time Female 38.0 17 21-25 2012.0 True Permanent Full-time Female 40.0 18 56-60 2012.0 False Permanent Full-time Male 41.0 19 51-55 2012.0 True Permanent Full-time Female 42.0 institute institute_service position \ 0 DETE 7 Teacher 1 DETE 18 Guidance Officer 2 DETE 3 Teacher 3 DETE 15 Teacher Aide 4 DETE 3 Teacher 5 DETE 14 Teacher 6 DETE 5 Teacher 7 DETE NaN Teacher Aide 8 DETE 30 Teacher 9 DETE 32 Cleaner 10 DETE 15 School Administrative Staff 11 DETE 39 Teacher 12 DETE 17 Teacher 13 DETE 7 Public Servant 14 DETE 9 Teacher 15 DETE 6 Cleaner 16 DETE 1 Teacher Aide 17 DETE NaN Teacher 18 DETE 35 Teacher 19 DETE 38 Head of Curriculum/Head of Special Education separationtype service_cat age_updated 0 Resignation-Other reasons 7-10 yrs 36-40 1 Resignation-Other reasons 11+ yrs 41-45 2 Resignation-Other reasons 3-6 yrs 31-35 3 Resignation-Other employer 11+ yrs 46-50 4 Resignation-Move overseas/interstate 3-6 yrs 31-35 5 Resignation-Other reasons 11+ yrs 36-40 6 Resignation-Other employer 3-6 yrs 31-35 7 Resignation-Other reasons NaN 56+ 8 Resignation-Other employer 11+ yrs 56+ 9 Resignation-Other reasons 11+ yrs 51-55 10 Resignation-Other reasons 11+ yrs 46-50 11 Resignation-Other reasons 11+ yrs 56+ 12 Resignation-Other reasons 11+ yrs 41-45 13 Resignation-Other employer 7-10 yrs 21-25 14 Resignation-Other reasons 7-10 yrs 36-40 15 Resignation-Other reasons 3-6 yrs 56+ 16 Resignation-Other reasons < 3 yrs 21-25 17 Resignation-Move overseas/interstate NaN 21-25 18 Resignation-Other employer 11+ yrs 56+ 19 Resignation-Other reasons 11+ yrs 51-55
print(combined_updated['age_updated'].value_counts(dropna=False))
pivot_by_age = combined_updated.pivot_table(index = 'age_updated', values = 'dissatisfied')
pivot_by_age.plot(kind = "barh", title = "Dissatisfaction by Age", xlim = (0,0.5))
41-45 93 46-50 81 56+ 78 36-40 73 51-55 71 26-30 67 21-25 62 31-35 61 NaN 55 under 21 10 Name: age_updated, dtype: int64
<matplotlib.axes._subplots.AxesSubplot at 0x7fe84c6c12e8>
The age groups that express the most dissatisfaction are the 26-30 age group and the 51-55 and 56+ age groups. The under 21 age group expresses the least dissatisfaction when leaving a job.