HR Analytics Data (EDA) Jovian — Data Science and Machine Learning PDF

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2/26/22, 3:46 PM

HR Analytics Data (EDA) | Jovian — Data Science and Machine Learning Upgrade

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Chetna Shahi · Follow Oct 12, 2020 · 3 min read ·

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IBM HR Analytics Data (EDA)

Data Analytics is the main driving force of change for HR Professionals across industries. Right from hiring the right talent to increasing the employee retention rate, HR analytics can change it all. “Today HR has a seat at the table, and in order to maintain that business partnership, you need to have an analytics framework” — Andy Kaslow For exploring the HR analytics domain, I have downloaded the IBM HR Analytics dataset from Kaggle. This is a fictional dataset created by IBM data scientists for analysis purposes. This dataset is quite a detailed one, providing details on employees who have left the firm as well as those who are still with the firm.

IBM HR Analytics Employee Attrition & Performance Predict attrition of your valuable employees www.kaggle.com

Let’s begin with the EDA process.

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2/26/22, 3:46 PM

HR Analytics Data (EDA) | Jovian — Data Science and Machine Learning Upgrade

Open in app

Create a new dataframe to proceed with the analysis further.

for i in emp_df: print(“No of Values for {} is {}”.format(i,str(emp_df[i].nunique())))

Exploratory Analysis and Visualization Find patterns of data through visualization and reveal the hidden trends from data. Using both matplotlib and seaborn library to visualize the data Finding relationships between features using bar graphs, histograms, box plots, heatmap Analyzing both the numerical and the categorical columns separately

num_col=[] for i in emp_new_df.columns: if(emp_new_df[i].dtypes!=object and emp_new_df[i].nunique()...