This repository is a collection of Tableau dashboards I've developed. It tracks my journey in using Tableau, from foundational visualizations to more advanced interactive analyses, all aimed at turning data into clear, actionable insights.
Explore dashboards below. Each has its own dedicated README with more details on the build process and specific features.
🌐 View Interactive Dashboard on Tableau Public
This project features a dual-dashboard analysis of 2023 sales performance and customer behavior. The Sales Dashboard provides a comprehensive view of revenue, profit, and product-level trends, while the Customer Dashboard delivers insights into customer acquisition, order patterns, and top customers by profitability. Together, they offer a complete picture for stakeholders to make data-driven decisions.
Key Tableau Skills Utilized:
- 🎨 Dashboard Layout & Design (Multi-Dashboard Navigation)
- ⚙️ Data Preparation & Connection (Multi-Region CSV Datasets)
- 🧮 Calculated Fields & Table Calculations
- 📊 Combo Charts (Bar + Line for YoY Comparison)
- 📈 Sparklines & KPI Trend Indicators
- 📉 Profit & Loss Visual Encoding (Color-Coded)
- 📋 Ranked Tables with Dynamic Sorting
- 📊 Distribution Charts (Histogram / Bar)
- 🔢 KPI Cards with Year-over-Year (YoY) Comparison
- 🎚️ Interactive Filters & Parameters
- 🖱️ Dashboard Navigation Buttons & Custom Icons
- 🎨 Custom Color Palettes & Conditional Formatting
➡️ View Full Project Details (README)
🌐 View Interactive Dashboard on Tableau Public
This project features a comprehensive HR analytics dashboard with two main views — a Summary View covering workforce overview, demographics, and income analysis, and a detailed Employee Records View for in-depth individual analysis. The dataset of 8,950 synthetic employee records was generated using Python, and the dashboard enables HR managers to monitor hiring trends, workforce composition, salary patterns, and employee performance at a glance.
Key Tableau Skills Utilized:
- 🎨 Dashboard Layout & Design (Custom Backgrounds & Navigation)
- ⚙️ Data Preparation (Python-Generated Synthetic Dataset)
- 🧮 Calculated Fields (Employee Status, Age Groups, Salary Adjustments)
- 📊 KPI Cards (Hired, Active, Terminated Counts)
- 📈 Trend Analysis (Hiring & Termination Over Time)
- 🗺️ Map Visualization (Employee Distribution by State & City)
- 👥 Demographic Analysis (Gender Ratio, Age & Education Distributions)
- 📉 Correlation Charts (Education vs. Performance Ratings)
- 💰 Income Analysis (Salary Comparisons by Education & Gender)
- 🎚️ Interactive Filters & Parameters
- 📋 Filterable Employee Records Table
- 🖱️ Dashboard Navigation Buttons & Custom Icons
➡️ View Full Project Details (README)
Each dashboard linked above has its own detailed README.md file within its respective project folder. These offer deeper insights into the project objectives, data sources, specific Tableau techniques employed, and a closer look at the dashboard build.
This project is part of the comprehensive Tableau course by DataWithBaraa. Special thanks to Baraa for creating excellent educational content on data analytics and Tableau!
Connect with DataWithBaraa:
- 🎥 YouTube Channel
- 🌐 Website
- 💻 GitHub