Hrdataset-v14.csv - !!top!!

Unlike clean, synthetic data, version 14 (v14) contains realistic nuances: missing values, inconsistent date formats, and outliers. This makes it perfect for teaching data wrangling.

Inspect for missing values or inconsistencies, particularly in "Date of Termination" and "Performance Score". Exploratory Data Analysis (EDA): HRDataset-v14.csv

These are critical for advanced analytics like turnover prediction. Unlike clean, synthetic data, version 14 (v14) contains

Analyze if higher turnover rates are linked to specific departments (e.g., Production often has higher turnover). Exploratory Data Analysis (EDA): These are critical for

A surprising insight from HRDataset-v14.csv is that high-performing employees (PerformanceRating = 4 or 5) are not always the most loyal. Approximately 18% of top performers left within two years of their last review. For this group, the primary reasons were not low satisfaction (they reported average satisfaction of 0.7) but rather a combination of relative to market and no recent promotion . High performers expect their contributions to be recognized. When they aren’t, they become flight risks.

Compare average performance scores across different managers to identify coaching needs. 3. Diversity and Inclusion (D&I) Monitoring

To effectively use HRDataset-v14.csv, you must understand its column taxonomy. We can group them into four logical families: