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Author: AsianaHolloway

code/Descriptive_Analysis.py

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+Python 3.12.0 (v3.12.0:0fb18b02c8, Oct  2 2023, 09:45:56) [Clang 13.0.0 (clang-1300.0.29.30)] on darwin
+Type "help", "copyright", "credits" or "license()" for more information.
+>>> df.show(5)
+... 
+... df.agg({"MonthlyIncome": "avg"}).show()
+... 
+... df.agg({"YearsAtCompany": "max"}).show()
+... 
+... df.agg({"YearsAtCompany": "min"}).show()

code/Employee_Attrition_Analysis.py

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+Python 3.12.0 (v3.12.0:0fb18b02c8, Oct  2 2023, 09:45:56) [Clang 13.0.0 (clang-1300.0.29.30)] on darwin
+Type "help", "copyright", "credits" or "license()" for more information.
+>>> !unzip /home/sat3812/Downloads/archive.zip -d /home/sat3812/Downloads/
+... 
+... from pyspark.sql import SparkSession
+... spark = SparkSession.builder.appName("Employee Attrition Analysis").getOrCreate()
+... 
+... df = spark.read.csv("/home/sat3812/employee_attrition/WA_Fn-UseC_-HR-Employee-Attrition.csv", header=True, inferSchema=True)
+... 
+... df.printSchema()
+... df = df.dropna()
+... 
+... df.describe().show()
+... 
+... df_pandas = df.select("Attrition").toPandas()
+... 
+... import matplotlib.pyplot as plt
+... 
+... attrition_counts = df_pandas["Attrition"].value_counts()
+... attrition_counts.plot(kind='bar')
+... plt.xlabel('Attrition')
+... plt.ylabel('Number of Employees')
+... plt.title('Employee Attrition Count')
+... plt.show()