Sameer Mathur
Data Visualization
Behavioral Modelling to Predict Renege
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[1] 8995 17
'data.frame': 8995 obs. of 17 variables:
$ CandidateRef : int 2110407 2112635 2112838 2115021 2115125 2117167 2119124 2127572 2138169 2143362 ...
$ DOJExtended : Factor w/ 2 levels "No","Yes": 2 1 1 1 2 2 2 2 1 1 ...
$ DurationToAcceptOffer : int 14 18 3 26 1 17 37 16 1 6 ...
$ NoticePeriod : int 30 30 45 30 120 30 30 0 30 30 ...
$ OfferedBand : Factor w/ 4 levels "E0","E1","E2",..: 3 3 3 3 3 2 3 2 2 2 ...
$ PercentHikeExpectedInCTC: num -20.8 50 42.8 42.8 42.6 ...
$ PercentHikeOfferedInCTC : num 13.2 320 42.8 42.8 42.6 ...
$ PercentDifferenceCTC : num 42.9 180 0 0 0 ...
$ JoiningBonus : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ...
$ CandidateRelocateActual : Factor w/ 2 levels "No","Yes": 1 1 1 1 2 1 1 1 1 1 ...
$ Gender : Factor w/ 2 levels "Female","Male": 1 2 2 2 2 2 2 1 1 2 ...
$ CandidateSource : Factor w/ 3 levels "Agency","Direct",..: 1 3 1 3 3 3 3 2 3 3 ...
$ RexInYrs : int 7 8 4 4 6 2 7 8 3 3 ...
$ LOB : Factor w/ 9 levels "AXON","BFSI",..: 5 8 8 8 8 8 8 7 2 3 ...
$ Location : Factor w/ 11 levels "Ahmedabad","Bangalore",..: 9 3 9 9 9 9 9 9 5 3 ...
$ Age : int 34 34 27 34 34 34 32 34 26 34 ...
$ Status : Factor w/ 2 levels "Joined","Not Joined": 1 1 1 1 1 1 1 1 1 1 ...
vars n mean sd median
CandidateRef 1 8995 2843647.38 486344.77 2807482
DOJExtended* 2 8995 1.47 0.50 1
DurationToAcceptOffer 3 8995 21.43 25.81 10
NoticePeriod 4 8995 39.29 22.22 30
OfferedBand* 5 8995 2.39 0.63 2
PercentHikeExpectedInCTC 6 8995 43.86 29.79 40
PercentHikeOfferedInCTC 7 8995 40.66 36.06 36
PercentDifferenceCTC 8 8995 -1.57 19.61 0
JoiningBonus* 9 8995 1.05 0.21 1
CandidateRelocateActual* 10 8995 1.14 0.35 1
Gender* 11 8995 1.83 0.38 2
CandidateSource* 12 8995 1.89 0.67 2
RexInYrs 13 8995 4.24 2.55 4
LOB* 14 8995 5.18 2.38 5
Location* 15 8995 4.94 3.00 3
Age 16 8995 29.91 4.10 29
Status* 17 8995 1.19 0.39 1