Icon

07 Evaluating Job Satisfaction - Association Rule Mining

Evaluating Job Satisfaction - Association Rule Mining

The workflow implements the following:

  • Loading our dataset from a CSV file for our analysis.

  • Determine the factors associated with job satisfaction.

  • Understand the methodology of association rule mining.

  • Apply dummy encoding for categorical variables.

  • Implement apriori algorithm for determining factors impacting job satisfaction.


JobSatisfaction.csv
CSV Reader
SatisfactionLevelLow/Avg/High
Rule Engine
Work AccidentYes/No
Rule Engine
Promotion Last 5yrsYes/No
Rule Engine
Statistics
Avg_SatisfactionLevel
Row Filter
Apriori Algorthmfor Association Rules
Python Script
High_SatisfactionLevel
Row Filter
Low_SatisfactionLevel
Row Filter
LastEvaluationLow/Avg/High
Rule Engine
AverageMonthlyHoursLow/Avg/High
Rule Engine
by confidence
Sorter
Dummy Encoding
One to Many
Bar Chart
Number to String
Statistics
Auto-Binner
Column Filter
MultipleCount Plot
Python View

Nodes

Extensions

Links