Assignment 2 - Section 1

1a. Create a box plot for employee satisfaction, split by ‘left’ .

The box plot compares satisfaction levels between employees who stayed and those who left. Employees who left (left = 1) show lower satisfaction, with a lower median and smaller interquartile range. Those who stayed (left = 0) have higher median satisfaction, suggesting a link between low satisfaction and turnover.

1b. Create box plots for last evaluation, split by ‘left’.

#The box plot shows that employees who left (left = 1) tend to have more extreme evaluation scores, either very high or very low. In contrast, employees who stayed (left = 0) have scores more evenly distributed around the middle, suggesting extremes may be linked to turnover.

##Select Continuous Variables

##                      satisfaction_level last_evaluation number_project
## satisfaction_level           1.00000000       0.1050212     -0.1429696
## last_evaluation              0.10502121       1.0000000      0.3493326
## number_project              -0.14296959       0.3493326      1.0000000
## average_montly_hours        -0.02004811       0.3397418      0.4172106
## time_spend_company          -0.10086607       0.1315907      0.1967859
##                      average_montly_hours time_spend_company
## satisfaction_level            -0.02004811         -0.1008661
## last_evaluation                0.33974180          0.1315907
## number_project                 0.41721063          0.1967859
## average_montly_hours           1.00000000          0.1277549
## time_spend_company             0.12775491          1.0000000

Create the correlogram using corrplot

#The correlogram displays correlations among continuous variables. Green circles indicate positive correlations, with larger circles showing stronger relationships, while maroon circles represent negative correlations. White circles signify little or no correlation. The rotated labels and color scaling help quickly identify significant variable relationships.