People Analytics Mini Dashboard
  • All
  • Taking Insurance allowance
  • Not Taking Insurance Allowance
  • Statistical Model Formulation
  • Data

Total Recruitment

3343

Got Employed

32.1%

Censored

67.9%

Unemployment Insurance
Number of
candidates
Proportion of
candidates
allowance 1848 55.3%
no allowance 1495 44.7%
Overall Survival Rate
Employment status and age group
Employment status and Gender

Total candidates

1848

Proportion

26.9%

Survival Rate
  • age and employment status
  • Employment status and gender
Data

Total births

1495

Proportion

61.5%

Survival Rate
  • Employment status and gender
  • Employment status and Age
Data
Cox Proportional Hazards
Characteristic HR1 95% CI1 p-value
logwage 1.64 1.46, 1.83 <0.001
gender


    Female — —
    male 0.88 0.77, 1.00 0.051
age_cat_new_level


    20-32 — —
    33-45 0.93 0.81, 1.07 0.3
    46-61 0.71 0.60, 0.85 <0.001
insurance


    allowance — —
    no allowance 2.82 2.49, 3.20 <0.001
1 HR = Hazard Ratio, CI = Confidence Interval
Cox Survival Probability

This dashboard displays statistics for:

Company NERDAC
Proffessional Statistician /Data Analyst
Analyst Bongani Ncube

missing data 0
number of columns 6
Number Of Rows 3343

Disclaimer

we consider a cohort entering unemployment at the same time (first nonth) and we want to test if the survival rates are different for different age groups ,gender or unemployment insurance.