Interactive Power BI dashboard for KPI monitoring with DAX, exception tracking, and sparklines.
An interactive Power BI dashboard built for Workout Wednesday 2026 – Week 28, featuring KPI monitoring, DAX-driven status tracking, exception reporting, sparklines, and interactive filtering. topics :- power-bi dax power-query dashboard data-visualization business-intelligence kpi-dashboard workout-wednesday microsoft-fabric eyJrIjoiN2NjY2NiYWEtZDliNS00MWJkLWI0NWUtMmYwZTA4YTE2YTFiIiwidCI6IjNlMTI1NDQ5LWI1ODYtNGU4ZS1iYzdmLWM1ZThlOWY3ZjkwNyJ9
Karachi Dementia Insights
Unlocking Insights into Cognitive Health: A Data-Driven Look at Dementia in Karachi The Problem Statement: Dementia remains one of the most challenging health crises of our time, often misunderstood and underdiagnosed. Families and healthcare providers frequently struggle to identify patterns—how do factors like age, education, and family history intersect to influence cognitive decline? Without clear data, regional health planning and early intervention strategies are left in the dark. The Solution: I developed a comprehensive Power BI dashboard to map the landscape of cognitive health across Karachi. By visualizing clinical MMSE metrics alongside demographic data, this tool transforms raw patient records into actionable insights for medical professionals and community planners. What This Dashboard Reveals: Hereditary Impact: The data clearly correlate family history with a recurring presence of cognitive decline, particularly in identifying early-stage risks. The Education Factor: We see significant patient volume peaks at the 12-year education level, allowing us to explore the "Cognitive Reserve" theory across genders. Severity Mapping: By tracking MMSE outcomes, the dashboard visualizes the sharp transition from "Normal" cognitive status to "Severe" dementia across different age groups. Geographic Hotspots: Saddar has been identified as a high-density area with the city’s highest patient concentration (67 patients), indicating where resource allocation is needed most. How It Helps: This dashboard isn't just about numbers; it’s about prevention and planning. It helps: ✅ Clinicians identify at-risk demographics earlier based on familial and educational backgrounds. ✅ Public Health Officials target specific Karachi districts for cognitive screening campaigns. ✅ Researchers understand the intersectional trends of gender, age, and heredity in local populations. Data is the first step toward better care. Let’s use it to build a more informed and supportive environment for those living with dementia. #PowerBI #DataAnalytics #HealthcareInnovation #DementiaAwareness #KarachiHealth #MedicalData #PublicHealth #CognitiveHealth eyJrIjoiN2M2M2ViNWQtODM3MS00NjEyLTlmYWMtZWM2MGUxZjM3ODZmIiwidCI6ImQ1Mjk0ZDcyLWE0ZjctNDQ3NC1hNTdlLTIyOGQwMzY4NzYxNiJ9Matrix Magic - Paginated Table and Custom Sorting - Crypto Currency
I attempted to recreate a Crypto Insights dashboard in Power BI, using M language to connect and transform data from the CoinGecko API. The idea behind this visual wasn’t just to show crypto metrics, it was to experiment with table pagination, row display control, and custom sorting logic. Even though Power BI’s native table already supports sorting, this exercise was about exploring how far we can push customization and interactivity for storytelling and user experience. Key aspects: ✅Pagination for better navigation ✅Dynamic control of rows displayed ✅Custom sorting approach for specific business logic This is not a polished solution — there’s plenty of room for improvement in terms of visual best practices, dynamic behavior, and UI refinements. The intent was to demonstrate opportunities for prototyping and experimenting inside Power BI. Feedback and suggestions for enhancements are welcome!Comprehensive Financial Overview of Multi-National Sales Operations
Revenue is a vanity metric. Profit is sanity. 📉 I just finished analyzing this $128M performance dashboard, and the data tells a sobering story: You can sell a lot and still lose money. The Problem "Top-line blindness." It’s easy to celebrate 128M in Revenue while missing the fact that certain segments are quietly eroding your margins. The Data Story: The "Small Business" Trap The Win: The Government segment is a powerhouse—high volume, high profit. The Warning: Look at the Small Business segment. Despite moving thousands of units, profit dives into the negative. The Lesson: High volume in the wrong segment is just a faster way to lose money. The Strategy Optimize: Re-evaluate the pricing and discount strategy for Small Business. Double Down: Scale the Paseo product line (30% market share) in top-tier regions like the US and Canada. Trim: Pivot resources away from low-performing lines like Carretera. The Bottom Line: Don't just track growth—track profitable growth. Revenue is a vanity metric. Profit is sanity. 📉 I just finished analyzing this $128M performance dashboard, and the data tells a sobering story: You can sell a lot and still lose money. The Problem "Top-line blindness." It’s easy to celebrate 128M in Revenue while missing the fact that certain segments are quietly eroding your margins. The Data Story: The "Small Business" Trap The Win: The Government segment is a powerhouse—high volume, high profit. The Warning: Look at the Small Business segment. Despite moving thousands of units, profit dives into the negative. The Lesson: High volume in the wrong segment is just a faster way to lose money. The Strategy Optimize: Re-evaluate the pricing and discount strategy for Small Business. Double Down: Scale the Paseo product line (30% market share) in top-tier regions like the US and Canada. Trim: Pivot resources away from low-performing lines like Carretera. The Bottom Line: Don't just track growth—track profitable growth. #DataAnalytics #BusinessIntelligence #Strategy #DataStorytelling #PowerBI eyJrIjoiNWYzYWM5MGMtNGVmOS00NzY3LWEyNjMtZDNlZmM0OTAyYjMyIiwidCI6ImQ1Mjk0ZDcyLWE0ZjctNDQ3NC1hNTdlLTIyOGQwMzY4NzYxNiJ9India Environmental Metrics
Is the air we breathe actually safe? A look at India's AQI crisis 🌫️ The Problem: On December 13th, 2025, air quality in parts of India reached critical levels. In Delhi, the AQI peaked at over 440, entering the "Severe+" category. According to the World Health Organization (WHO), such toxic air affects even healthy individuals. We need more than news alerts—we need data clarity. What this Dashboard Shows: Using data from Kaggle and the WHO, I built this interactive AQI Tracker to visualize the impact of this crisis: India Snapshot (Dec 13): Highlights the sudden spike in $PM_{2.5}$ and $NO_{2}$ across North India. Real-time Insights: Comparing current levels against WHO safety thresholds. Health Risk Indicators: Instant color-coding from "Good" to "Hazardous" to guide public safety. The Benefit: This dashboard turns complex environmental metrics into a "Single Source of Truth." It allows users to: ✅ Identify pollution hotspots during peak crisis days. ✅ Understand the health risks associated with specific AQI numbers. ✅ Help organizations make data-backed decisions on employee safety and health advisories. eyJrIjoiMzY0MzBlMTEtMWQ1NS00NTc0LTg0NmMtYmQyNDIyMDdkMGE5IiwidCI6ImQ1Mjk0ZDcyLWE0ZjctNDQ3NC1hNTdlLTIyOGQwMzY4NzYxNiJ9Matrix-Most in Demand Tech Job
I created a simple Job Market Matrix in Microsoft Fabric comparing key roles across AI & Data, Cloud, Cybersecurity, and Business. The dashboard highlights: Job difficulty levels Market demand scores Average salaries Hiring trends Overall market ratings I also added top KPIs to summarize the insights, including: Top in-demand roles for 2025 Average salary across categories Distribution of Hard vs Medium vs Easy rolesA matrix magic
A futuristic-themed dataset showing AI System Performance Metrics across 12 months — designed to fit your “Matrix” vibe. Metrics: ProcessingSpeed – operations per second EfficiencyScore – percentage measure of system efficiency PowerUsage – power consumed (kWh) LastYearEfficiency – last year’s efficiency score (for YoY comparison) --- Preview of Data Month ProcessingSpeed EfficiencyScore PowerUsage LastYearEfficiency 2025-01 82 87 310 80 2025-02 88 90 305 85 2025-03 92 91 300 86 2025-04 97 93 295 87 2025-05 101 94 292 89 2025-06 108 95 290 90 2025-07 113 96 288 91 2025-08 118 97 285 92 2025-09 125 98 283 93 2025-10 130 98 282 94 2025-11 138 99 281 95 2025-12 145 99 280 96
Matrix magic | Racing to the Sky: A Global Analysis of the World's 300 Tallest Buildings
Interactive table of the world's 300 tallest buildings based on Council on Tall Buildings and Urban Habitat (CTBUH) data [https://www.skyscrapercenter.com/buildings?status=completed&material=all&function=all&location=world&year=2025]. Compares 100 completed, 100 under construction, and 100 proposed. Features dynamic height system (m/ft) using field parameters, multidimensional filters by status, material, function, and geographic location, and tooltips with official technical definitions. Design facilitates identification of global patterns in architectural development, structural preferences, and urban functions, highlighting how different regions conquer verticality with distinct solutions.
