Column

Correlation Plot

Dataset

attrition age business_travel daily_rate department distance_from_home education education_field employee_count employee_number environment_satisfaction gender hourly_rate job_involvement job_level job_role job_satisfaction marital_status monthly_income monthly_rate num_companies_worked over_18 over_time percent_salary_hike performance_rating relationship_satisfaction standard_hours stock_option_level total_working_years training_times_last_year work_life_balance years_at_company years_in_current_role years_since_last_promotion years_with_curr_manager
Yes 41 Travel Rarely 1102 Sales 1 2 Life Sciences 1 1 2 Female 94 3 2 Sales Executive 4 Single 5993 19479 8 Y Yes 11 3 1 80 0 8 0 1 6 4 0 5
No 49 Travel Frequently 279 Research Development 8 1 Life Sciences 1 2 3 Male 61 2 2 Research Scientist 2 Married 5130 24907 1 Y No 23 4 4 80 1 10 3 3 10 7 1 7
Yes 37 Travel Rarely 1373 Research Development 2 2 Other 1 4 4 Male 92 2 1 Laboratory Technician 3 Single 2090 2396 6 Y Yes 15 3 2 80 0 7 3 3 0 0 0 0
No 33 Travel Frequently 1392 Research Development 3 4 Life Sciences 1 5 4 Female 56 3 1 Research Scientist 3 Married 2909 23159 1 Y Yes 11 3 3 80 0 8 3 3 8 7 3 0
No 27 Travel Rarely 591 Research Development 2 1 Medical 1 7 1 Male 40 3 1 Laboratory Technician 2 Married 3468 16632 9 Y No 12 3 4 80 1 6 3 3 2 2 2 2

Column

Ranking Plot

Chart C