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HR Analysis (A Full Data Analysis Project)

HR KPIs

Table of Contents

Introduction

In this project, I preprocessed an HR dataset and created three insightful Tableau dashboards to visualize the data. The objective was to clean and transform the raw data to make it suitable for analysis, and then present key insights in an interactive and user-friendly dashboard.




Project Steps

1. Data Collection : Kaggle

The dataset was sourced from HR Dataset Kaggle.

ALL FEATURES
Employee_Name EmpID MarriedID MaritalStatusID
GenderID EmpStatusID DeptID PerfScoreID
FromDiversityJobFairID Salary Termd PositionID
Position State Zip DOB
Sex MaritalDesc CitizenDesc HispanicLatino
RaceDesc DateofHire DateofTermination TermReason
EmploymentStatus Department ManagerName ManagerID
RecruitmentSource PerformanceScore EngagementSurvey EmpSatisfaction
SpecialProjectsCount LastPerformanceReview_Date DaysLateLast30 Absences



2. Data Cleaning by SQL : SQL SQL

Data cleaning was performed to ensure the dataset was free from errors and inconsistencies.
The following steps were taken:

  • Remove Duplicates
  • Standardizing data
  • Convert data types
  • Check Missing/NULL Values
Overview of the SQL Database (PostgreSQL)

Overview of the Database

Download SQL queries: ../Data-Cleaning-SQL-Queries.sql



3. Connecting Tableau to PostgreSQL as a data source

Connect to Database Manage Tableau Connections Hyper File



4. Visualize the Data by Tableau

  • Final Tableau Dashboards

Screenshot 2024-06-02 at 01 23 40



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End-to-end data analysis of HR datasets, focusing on insights and trends.

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