date_survey = [ID, SeparationType, Cease Date, DETE Start Date] tafe_survey = [Record ID, Reason for ceasing employment,LengthofServiceOverall. Overall Length of Service at Institute (in years)]
import pandas as pd
import numpy as np
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): 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
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.info()
<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
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
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.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 822 entries, 0 to 821 Data columns (total 35 columns): ID 822 non-null int64 SeparationType 822 non-null object Cease Date 788 non-null object DETE Start Date 749 non-null float64 Role Start Date 724 non-null float64 Position 817 non-null object Classification 455 non-null object Region 717 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 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), float64(2), int64(1), object(14) memory usage: 123.7+ KB
dete_survey_updated.columns
Index(['ID', 'SeparationType', 'Cease Date', 'DETE Start Date', 'Role Start Date', 'Position', 'Classification', 'Region', 'Business Unit', 'Employment Status', 'Career move to public sector', 'Career move to private sector', 'Interpersonal conflicts', 'Job dissatisfaction', 'Dissatisfaction with the department', 'Physical work environment', 'Lack of recognition', 'Lack of job security', 'Work location', 'Employment conditions', 'Maternity/family', 'Relocation', 'Study/Travel', 'Ill Health', 'Traumatic incident', 'Work life balance', 'Workload', 'None of the above', 'Gender', 'Age', 'Aboriginal', 'Torres Strait', 'South Sea', 'Disability', 'NESB'], dtype='object')
dete_survey_updated.columns = dete_survey_updated.columns.str.replace(' ','_').str.lower().str.strip()
dete_survey_updated.columns
Index(['id', 'separationtype', 'cease_date', 'dete_start_date', 'role_start_date', 'position', 'classification', 'region', 'business_unit', 'employment_status', 'career_move_to_public_sector', 'career_move_to_private_sector', 'interpersonal_conflicts', 'job_dissatisfaction', 'dissatisfaction_with_the_department', 'physical_work_environment', 'lack_of_recognition', 'lack_of_job_security', 'work_location', 'employment_conditions', 'maternity/family', 'relocation', 'study/travel', 'ill_health', 'traumatic_incident', 'work_life_balance', 'workload', 'none_of_the_above', 'gender', 'age', 'aboriginal', 'torres_strait', 'south_sea', 'disability', 'nesb'], dtype='object')
mappind = {'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'}
fate_survey_updated = tafe_survey.rename(mapper=mappind, axis=1)
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
type(fate_survey_updated)
pandas.core.frame.DataFrame
fate_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 | ... | 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 | 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 | ... | 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
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
fate_survey_updated.separationtype.value_counts()
Resignation 340 Contract Expired 127 Retrenchment/ Redundancy 104 Retirement 82 Transfer 25 Termination 23 Name: separationtype, dtype: int64
dete_resignations_bool = dete_survey_updated.separationtype.str.contains('Resignation').copy()
dete_resignations = dete_survey_updated[dete_resignations_bool]
dete_resignations
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 |
12 | 13 | Resignation-Other reasons | 2012 | 1998.0 | 1998.0 | Teacher | Primary | Far North Queensland | NaN | Permanent Full-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
14 | 15 | Resignation-Other employer | 2012 | 2007.0 | 2010.0 | Teacher | Secondary | Central Queensland | NaN | Permanent Full-time | ... | False | False | False | Male | 31-35 | NaN | NaN | NaN | NaN | NaN |
16 | 17 | Resignation-Other reasons | 2012 | NaN | NaN | Teacher Aide | NaN | South East | NaN | Permanent Part-time | ... | False | False | False | Male | 61 or older | NaN | NaN | NaN | NaN | NaN |
20 | 21 | Resignation-Other employer | 2012 | 1982.0 | 1982.0 | Teacher | Secondary | Central Queensland | NaN | Permanent Full-time | ... | False | False | True | Male | 56-60 | NaN | NaN | NaN | NaN | NaN |
21 | 22 | Resignation-Other reasons | 2012 | 1980.0 | 2009.0 | Cleaner | NaN | Darling Downs South West | NaN | Permanent Part-time | ... | False | False | False | Female | 51-55 | NaN | NaN | NaN | NaN | NaN |
22 | 23 | Resignation-Other reasons | 2012 | 1997.0 | 1998.0 | School Administrative Staff | NaN | Metropolitan | NaN | Permanent Part-time | ... | True | False | False | Female | 46-50 | NaN | NaN | NaN | NaN | NaN |
23 | 24 | Resignation-Other reasons | 2012 | 1973.0 | 2012.0 | Teacher | Primary | North Queensland | NaN | Permanent Full-time | ... | True | False | False | Female | 61 or older | NaN | NaN | NaN | NaN | NaN |
25 | 26 | Resignation-Other reasons | 2012 | 1995.0 | 2002.0 | Teacher | Primary | South East | NaN | Permanent Part-time | ... | True | False | False | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
27 | 28 | Resignation-Other employer | 2012 | 2005.0 | 2011.0 | Public Servant | AO5-AO7 | Central Office | Information and Technologies | Permanent Full-time | ... | False | False | False | Female | 21-25 | Yes | NaN | NaN | NaN | NaN |
33 | 34 | Resignation-Other reasons | 2012 | 2003.0 | 2003.0 | Teacher | Secondary | NaN | NaN | Permanent Full-time | ... | False | False | False | Male | 36-40 | NaN | NaN | NaN | Yes | NaN |
34 | 35 | Resignation-Other reasons | 2012 | 2006.0 | 2009.0 | Cleaner | NaN | Central Office | Education Queensland | Permanent Part-time | ... | True | False | False | Male | 61 or older | NaN | NaN | NaN | NaN | NaN |
37 | 38 | Resignation-Other reasons | 2012 | 2011.0 | 2011.0 | Teacher Aide | NaN | Central Queensland | NaN | Temporary Part-time | ... | False | False | True | Female | 21-25 | NaN | NaN | NaN | NaN | NaN |
39 | 40 | Resignation-Move overseas/interstate | 2012 | NaN | NaN | Teacher | NaN | Central Queensland | NaN | Permanent Full-time | ... | True | False | False | Female | 21-25 | NaN | NaN | NaN | NaN | NaN |
40 | 41 | Resignation-Other employer | 2012 | 1977.0 | 1980.0 | Teacher | Primary | South East | NaN | Permanent Full-time | ... | False | False | False | Male | 56-60 | NaN | NaN | NaN | NaN | NaN |
41 | 42 | Resignation-Other reasons | 2012 | 1974.0 | 1994.0 | Head of Curriculum/Head of Special Education | NaN | Metropolitan | NaN | Permanent Full-time | ... | True | False | False | Female | 51-55 | NaN | NaN | NaN | NaN | NaN |
42 | 43 | Resignation-Move overseas/interstate | 2012 | 2011.0 | 2011.0 | Cleaner | NaN | North Coast | NaN | Permanent Part-time | ... | False | False | True | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
43 | 44 | Resignation-Other reasons | 2012 | 1976.0 | 1976.0 | Teacher | Primary | North Coast | NaN | Permanent Full-time | ... | True | True | False | Male | 51-55 | NaN | NaN | NaN | NaN | NaN |
48 | 49 | Resignation-Move overseas/interstate | 2012 | 2009.0 | 2010.0 | Cleaner | NaN | South East | NaN | Permanent Full-time | ... | False | False | False | Male | 21-25 | NaN | NaN | NaN | NaN | NaN |
50 | 51 | Resignation-Move overseas/interstate | 2012 | 2009.0 | 2010.0 | Cleaner | NaN | South East | NaN | Permanent Full-time | ... | False | False | False | Male | 21-25 | NaN | NaN | NaN | NaN | NaN |
51 | 52 | Resignation-Other reasons | 2012 | 1993.0 | 1993.0 | Cleaner | NaN | South East | NaN | Permanent Full-time | ... | False | False | True | Female | 61 or older | NaN | NaN | NaN | NaN | NaN |
55 | 56 | Resignation-Other employer | 2012 | 2008.0 | 2008.0 | Teacher Aide | NaN | Metropolitan | NaN | Permanent Part-time | ... | False | False | True | Female | 26-30 | NaN | NaN | NaN | NaN | NaN |
57 | 58 | Resignation-Other employer | 2012 | 2003.0 | 2012.0 | Teacher | Secondary | Darling Downs South West | NaN | Permanent Full-time | ... | False | False | False | Male | 46-50 | NaN | NaN | NaN | NaN | NaN |
61 | 62 | Resignation-Other reasons | 2012 | 2011.0 | 2011.0 | Schools Officer | NaN | Central Queensland | NaN | Temporary Part-time | ... | False | False | False | Female | 31-35 | NaN | NaN | NaN | NaN | NaN |
69 | 70 | Resignation-Other reasons | 2012 | 2006.0 | NaN | Public Servant | AO5-AO7 | Central Office | Information and Technologies | Permanent Full-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
71 | 72 | Resignation-Other reasons | 2012 | 2011.0 | 2011.0 | Teacher Aide | NaN | Far North Queensland | NaN | Permanent Part-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
747 | 749 | Resignation-Move overseas/interstate | 01/2014 | 2008.0 | 2008.0 | Teacher | Primary | North Coast | NaN | Permanent Full-time | ... | False | False | False | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
751 | 753 | Resignation-Other reasons | 12/2013 | 2005.0 | 2005.0 | Cleaner | NaN | Central Office | Education Queensland | Permanent Part-time | ... | False | False | False | Male | 61 or older | NaN | NaN | NaN | NaN | NaN |
752 | 754 | Resignation-Other reasons | 11/2013 | 1998.0 | NaN | Teacher Aide | NaN | Darling Downs South West | NaN | Permanent Part-time | ... | False | False | False | Female | 46-50 | NaN | NaN | NaN | Yes | NaN |
753 | 755 | Resignation-Other employer | 11/2013 | 2004.0 | 2011.0 | Teacher | Primary | Central Queensland | NaN | Permanent Full-time | ... | True | False | False | Female | 31-35 | NaN | NaN | NaN | NaN | NaN |
755 | 757 | Resignation-Other employer | 12/2013 | 2012.0 | 2013.0 | Teacher | Primary | Central Queensland | NaN | Permanent Part-time | ... | False | False | True | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
762 | 764 | Resignation-Other employer | 07/2006 | 2006.0 | 2006.0 | Teacher | Primary | Metropolitan | NaN | Permanent Part-time | ... | False | False | False | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
766 | 768 | Resignation-Other employer | 01/2014 | 2007.0 | 2007.0 | Teacher | Primary | Metropolitan | NaN | Permanent Full-time | ... | False | False | False | Male | 26-30 | NaN | NaN | NaN | NaN | NaN |
769 | 771 | Resignation-Other reasons | 11/2013 | 2008.0 | NaN | Teacher Aide | NaN | South East | NaN | Permanent Full-time | ... | False | False | False | Female | 46-50 | NaN | NaN | NaN | NaN | NaN |
770 | 772 | Resignation-Other reasons | NaN | 1987.0 | 1987.0 | Cleaner | NaN | Darling Downs South West | NaN | Permanent Part-time | ... | False | False | True | Female | 61 or older | NaN | NaN | NaN | NaN | NaN |
771 | 773 | Resignation-Other employer | 01/2014 | 2002.0 | 2007.0 | Head of Curriculum/Head of Special Education | NaN | Central Queensland | NaN | Permanent Full-time | ... | False | False | False | Male | 36-40 | NaN | NaN | NaN | NaN | NaN |
774 | 776 | Resignation-Other employer | NaN | 2005.0 | 2005.0 | Teacher Aide | NaN | Central Queensland | NaN | Permanent Part-time | ... | False | False | True | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
784 | 786 | Resignation-Other reasons | 10/2013 | 2013.0 | 2013.0 | Teacher | Secondary | Central Queensland | NaN | Permanent Full-time | ... | True | False | False | Female | 21-25 | NaN | NaN | NaN | NaN | NaN |
786 | 788 | Resignation-Other employer | 01/2014 | 1994.0 | 2008.0 | Teacher | Secondary | Darling Downs South West | NaN | Permanent Full-time | ... | False | False | False | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
788 | 790 | Resignation-Other employer | NaN | 1990.0 | 2010.0 | Teacher | Secondary | Metropolitan | NaN | Permanent Full-time | ... | False | False | False | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
789 | 791 | Resignation-Other reasons | 01/2014 | 1983.0 | 1999.0 | School Based Professional Staff (Therapist, nu... | NaN | Metropolitan | NaN | Permanent Part-time | ... | False | False | True | Female | 51-55 | NaN | NaN | NaN | NaN | NaN |
790 | 792 | Resignation-Other reasons | 01/2014 | 2008.0 | 2008.0 | Teacher | Secondary | North Coast | NaN | Permanent Full-time | ... | False | True | False | Male | 36-40 | NaN | NaN | NaN | NaN | NaN |
791 | 793 | Resignation-Other reasons | NaN | 2007.0 | 2007.0 | Public Servant | A01-A04 | Metropolitan | NaN | Permanent Part-time | ... | False | False | False | Female | 46-50 | NaN | NaN | NaN | NaN | NaN |
794 | 796 | Resignation-Move overseas/interstate | 11/2013 | NaN | NaN | Cleaner | NaN | NaN | NaN | Permanent Part-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
797 | 799 | Resignation-Move overseas/interstate | NaN | 2000.0 | 2013.0 | Public Servant | A01-A04 | South East | NaN | Permanent Part-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
798 | 800 | Resignation-Move overseas/interstate | NaN | 1995.0 | NaN | Teacher Aide | NaN | Darling Downs South West | NaN | Permanent Part-time | ... | False | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
802 | 804 | Resignation-Move overseas/interstate | 12/2013 | NaN | NaN | Teacher Aide | NaN | Metropolitan | NaN | Permanent Part-time | ... | False | False | False | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
803 | 805 | Resignation-Other employer | 01/2014 | 2004.0 | 2007.0 | Teacher | Primary | Darling Downs South West | NaN | Permanent Full-time | ... | False | False | False | Female | 46-50 | NaN | NaN | NaN | NaN | NaN |
804 | 806 | Resignation-Other employer | 01/2014 | 2008.0 | 2013.0 | Teacher | Primary | Darling Downs South West | NaN | Permanent Part-time | ... | False | False | False | Female | 26-30 | NaN | NaN | NaN | NaN | NaN |
806 | 808 | Resignation-Other employer | 12/2013 | 2005.0 | 2005.0 | Cleaner | NaN | Central Queensland | NaN | Permanent Part-time | ... | False | False | False | Female | 41-45 | NaN | NaN | NaN | NaN | NaN |
807 | 809 | Resignation-Other reasons | 12/2013 | 2004.0 | 2004.0 | Teacher | Primary | Central Queensland | NaN | Permanent Full-time | ... | True | False | False | Female | 36-40 | NaN | NaN | NaN | NaN | NaN |
808 | 810 | Resignation-Other reasons | 12/2013 | 2010.0 | 2010.0 | Teacher Aide | NaN | NaN | NaN | Permanent Part-time | ... | False | False | False | Female | 26-30 | NaN | NaN | NaN | NaN | NaN |
815 | 817 | Resignation-Other employer | 01/2014 | 2012.0 | 2012.0 | Teacher | Primary | Far North Queensland | NaN | Permanent Full-time | ... | False | False | False | Male | 21-25 | NaN | NaN | NaN | NaN | NaN |
816 | 818 | Resignation-Move overseas/interstate | 01/2014 | 2012.0 | 2012.0 | Teacher | Secondary | North Coast | NaN | Permanent Full-time | ... | False | False | False | Female | 21-25 | NaN | NaN | NaN | NaN | NaN |
819 | 821 | Resignation-Move overseas/interstate | 01/2014 | 2009.0 | 2009.0 | Public Servant | A01-A04 | Central Office | Education Queensland | Permanent Full-time | ... | True | False | False | Female | 31-35 | NaN | NaN | NaN | NaN | NaN |
821 | 823 | Resignation-Move overseas/interstate | 12/2013 | NaN | NaN | Teacher Aide | NaN | Metropolitan | NaN | NaN | ... | False | False | False | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
311 rows × 35 columns
tafe_resignations_bool = fate_survey_updated.separationtype.str.contains('Resignation', na=False).copy()
tafe_resignations = fate_survey_updated[tafe_resignations_bool]
dete_resignations["cease_date"].value_counts()
2012 126 2013 74 01/2014 22 12/2013 17 06/2013 14 09/2013 11 07/2013 9 11/2013 9 10/2013 6 08/2013 4 05/2013 2 05/2012 2 09/2010 1 07/2006 1 2010 1 07/2012 1 Name: cease_date, dtype: int64
dete_resignations["cease_date"] = dete_resignations["cease_date"].astype(str).str.extract("([1-2][0-9]{3})").astype("float")
dete_resignations["cease_date"].value_counts()
/dataquest/system/env/python3/lib/python3.4/site-packages/ipykernel/__main__.py:1: FutureWarning: currently extract(expand=None) means expand=False (return Index/Series/DataFrame) but in a future version of pandas this will be changed to expand=True (return DataFrame) if __name__ == '__main__': /dataquest/system/env/python3/lib/python3.4/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy if __name__ == '__main__':
2013.0 146 2012.0 129 2014.0 22 2010.0 2 2006.0 1 Name: cease_date, dtype: int64
dete_resignations["dete_start_date"].value_counts().sort_index()
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 Name: dete_start_date, dtype: int64
tafe_resignations.cease_date.value_counts().sort_index()
2009.0 2 2010.0 68 2011.0 116 2012.0 94 2013.0 55 Name: cease_date, dtype: int64
dete_resignations.dete_start_date.value_counts()
2011.0 24 2008.0 22 2007.0 21 2012.0 21 2010.0 17 2005.0 15 2004.0 14 2009.0 13 2006.0 13 2013.0 10 2000.0 9 1999.0 8 1996.0 6 2002.0 6 1992.0 6 1998.0 6 2003.0 6 1994.0 6 1993.0 5 1990.0 5 1980.0 5 1997.0 5 1991.0 4 1989.0 4 1988.0 4 1995.0 4 2001.0 3 1985.0 3 1986.0 3 1983.0 2 1976.0 2 1974.0 2 1971.0 1 1972.0 1 1984.0 1 1982.0 1 1987.0 1 1975.0 1 1973.0 1 1977.0 1 1963.0 1 Name: dete_start_date, dtype: int64
dete_resignations['institute_service'] = dete_resignations['cease_date'] - dete_resignations.dete_start_date
/dataquest/system/env/python3/lib/python3.4/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy if __name__ == '__main__':
dete_resignations["institute_service"].value_counts().sort_index()
0.0 20 1.0 22 2.0 14 3.0 20 4.0 16 5.0 23 6.0 17 7.0 13 8.0 8 9.0 14 10.0 6 11.0 4 12.0 6 13.0 8 14.0 6 15.0 7 16.0 5 17.0 6 18.0 5 19.0 3 20.0 7 21.0 3 22.0 6 23.0 4 24.0 4 25.0 2 26.0 2 27.0 1 28.0 2 29.0 1 30.0 2 31.0 1 32.0 3 33.0 1 34.0 1 35.0 1 36.0 2 38.0 1 39.0 3 41.0 1 42.0 1 49.0 1 Name: institute_service, dtype: int64
tafe_resignations['Contributing Factors. Dissatisfaction'].value_counts(dropna=False)
- 277 Contributing Factors. Dissatisfaction 55 NaN 8 Name: Contributing Factors. Dissatisfaction, dtype: int64
tafe_resignations['Contributing Factors. Job Dissatisfaction'].value_counts(dropna=False)
- 270 Job Dissatisfaction 62 NaN 8 Name: Contributing Factors. Job Dissatisfaction, dtype: int64
def update_vals(element):
if pd.isnull(element):
return np.nan
elif element is '-':
return False
else:
return True
tafe_resignations['dissatisfied'] = tafe_resignations[['Contributing Factors. Dissatisfaction','Contributing Factors. Job Dissatisfaction']].applymap(update_vals).any(axis=1, skipna=False)
/dataquest/system/env/python3/lib/python3.4/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy if __name__ == '__main__':
tafe_resignations_up = tafe_resignations.copy()
print(tafe_resignations_up["dissatisfied"].value_counts(dropna=False))
False 241 True 91 NaN 8 Name: dissatisfied, dtype: int64
dete_resignations["dissatisfied"] = dete_resignations[['job_dissatisfaction',
'dissatisfaction_with_the_department', 'physical_work_environment',
'lack_of_recognition', 'lack_of_job_security', 'work_location',
'employment_conditions', 'work_life_balance',
'workload']].any(axis=1, skipna=False)
dete_resignations_up = dete_resignations.copy()
print(dete_resignations_up["dissatisfied"].value_counts(dropna=False))
False 162 True 149 Name: dissatisfied, dtype: int64
/dataquest/system/env/python3/lib/python3.4/site-packages/ipykernel/__main__.py:5: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
dete_resignations_up["institute"] = "DETE"
tafe_resignations_up["institute"] = "TAFE"
combined = pd.concat([dete_resignations_up, tafe_resignations_up], ignore_index=True)
combined_updated = combined.dropna(thresh=500, axis=1).copy()
combined_updated.shape
(651, 10)
combined_updated.institute_service.value_counts()
Less than 1 year 73 1-2 64 3-4 63 5-6 33 11-20 26 5.0 23 1.0 22 7-10 21 3.0 20 0.0 20 6.0 17 4.0 16 9.0 14 2.0 14 7.0 13 More than 20 years 10 13.0 8 8.0 8 20.0 7 15.0 7 14.0 6 17.0 6 12.0 6 10.0 6 22.0 6 18.0 5 16.0 5 24.0 4 23.0 4 11.0 4 39.0 3 19.0 3 21.0 3 32.0 3 36.0 2 25.0 2 26.0 2 28.0 2 30.0 2 42.0 1 35.0 1 49.0 1 34.0 1 38.0 1 33.0 1 29.0 1 27.0 1 41.0 1 31.0 1 Name: institute_service, dtype: int64
combined_updated['institute_service_up'] = combined_updated['institute_service'].astype('str').str.extract(r'(\d+)')
combined_updated["institute_service_up"] = combined_updated["institute_service_up"].astype("float")
/dataquest/system/env/python3/lib/python3.4/site-packages/ipykernel/__main__.py:1: FutureWarning: currently extract(expand=None) means expand=False (return Index/Series/DataFrame) but in a future version of pandas this will be changed to expand=True (return DataFrame) if __name__ == '__main__':
def service_cats(val):
if val >= 11:
return "Veteran"
elif 7 <= val < 11:
return "Established"
elif 3 <= val < 7:
return "Experienced"
elif pd.isnull(val):
return np.nan
else:
return "New"
combined_updated["service_cat"] = combined_updated["institute_service_up"].apply(service_cats)
combined_updated["service_cat"].head(5)
0 Established 1 Veteran 2 Experienced 3 Veteran 4 Experienced Name: service_cat, dtype: object
combined_updated["service_cat"].value_counts(dropna=False)
New 193 Experienced 172 Veteran 136 NaN 88 Established 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(value=False)
pv_dissatisfied = combined_updated.pivot_table(index="service_cat", values="dissatisfied")
%matplotlib inline
pv_dissatisfied.plot(kind="bar", rot=30)
<matplotlib.axes._subplots.AxesSubplot at 0x7f4df821c400>