Miniviz May, Week 4 | Every Place Has a Vibe. What’s Dominant Where? The Geography of Culture & Vibe
🌍🎭Miniviz May, Week 4 | Every Place Has a Vibe. What’s Dominant Where? The Geography of Culture & Vibes. Africa’s cultural atmospheres are diverse and distinctive in their own ways, from the energetic hustle of West Africa, to the layered histories of North Africa, adventurous rhythms in East Africa, and the scenic calm of Southern Africa. Built using Azure Maps in Power BI, this interactive Miniviz explores how food, music, lifestyle, and social traditions shape regional vibes across the continent. Hover to explore dominant cultural atmospheres and select countries to filter the storytelling experience.Miniviz May, Week 3 | The Global Stature Map
I expected genetics to be the dominant explanation for global height differences, yet the data made me pause. While genetics sets the potential, nutrition, healthcare, and living standards play a major role in determining how much of that potential is realized. Decades of economic development and improved diets have contributed to remarkable gains in average height across parts of East Asia, highlighting how population-level outcomes can change significantly within just a few generations. Built for learning and storytelling purposes using a small sample dataset; results are illustrative rather than population-weighted continental averages. Data obtained via Gemini AI; Source: NCD Risk Factor Collaboration (NCD-RisC)
Customer_Shopping_Behaviour_Analysis
This is one of the project which uses all the technologies of Data analysis i.e Python , SQL and PowerBi for getting the desired output which is “How can the company leverage consumer shopping data to identify trends, improve customer engagement, and optimize marketing and product strategies?”Little Tech Project: A Sales Dashboard
Little Tech is a computer products retailer in France. This visualization is a sales tracking tool that can be broken down by order, region, and date. A second visualization shows canceled orders and helps management understand the situation and make decisions.
Netflix Analytics Dashboard
This Power BI dashboard presents an analytical overview of Netflix movies and TV shows using publicly available dataset. The dashboard focuses on understanding content volume, genre distribution, rating categories, release year trends, and global availability. Key Metrics: Total Movies: 7789 Total Directors: 4049 Total Genres: 493 Release Year Range: 1925 to 2021 Dashboard Insights: Movies and TV Shows Distribution: Visual comparison showing that movies dominate the Netflix content library compared to TV shows. Ratings by Total Titles: TV MA and TV 14 categories have the highest number of titles, indicating a strong focus on mature and young adult audiences. Genres by Total Titles: Documentaries, Stand Up Comedy, Dramas, and International content are among the most popular genres on the platform. Geographical Distribution: World map visualization highlights Netflix global presence with strong content production in North America, Europe, and Asia. Release Year Trend: Content production has increased significantly after 2010, reflecting Netflix rapid expansion and original content strategy. Purpose of the Dashboard: This dashboard helps analyze Netflix content strategy, audience targeting, and global expansion trends. It can be useful for OTT platform analysis, media research, business intelligence learning, and data visualization practice.Netflix Analytics Dashboard
Netflix Analytics Dashboard This Power BI dashboard presents an analytical overview of Netflix movies and TV shows using publicly available dataset. The dashboard focuses on understanding content volume, genre distribution, rating categories, release year trends, and global availability. Key Metrics: Total Movies: 7789 Total Directors: 4049 Total Genres: 493 Release Year Range: 1925 to 2021 Dashboard Insights: Movies and TV Shows Distribution: Visual comparison showing that movies dominate the Netflix content library compared to TV shows. Ratings by Total Titles: TV MA and TV 14 categories have the highest number of titles, indicating a strong focus on mature and young adult audiences. Genres by Total Titles: Documentaries, Stand Up Comedy, Dramas, and International content are among the most popular genres on the platform. Geographical Distribution: World map visualization highlights Netflix global presence with strong content production in North America, Europe, and Asia. Release Year Trend: Content production has increased significantly after 2010, reflecting Netflix rapid expansion and original content strategy. Purpose of the Dashboard: This dashboard helps analyze Netflix content strategy, audience targeting, and global expansion trends. It can be useful for OTT platform analysis, media research, business intelligence learning, and data visualization practice.
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 eyJrIjoiN2M2M2ViNWQtODM3MS00NjEyLTlmYWMtZWM2MGUxZjM3ODZmIiwidCI6ImQ1Mjk0ZDcyLWE0ZjctNDQ3NC1hNTdlLTIyOGQwMzY4NzYxNiJ9TELECOM-CRM DASHBOARD
Telecom CRM Dashboard | Power BI My final project of *2025*… The End of Beginnings 💯 I’m closing this year by completing a project that represents the foundation I’ve been building throughout 2025 — a year of learning, growth, and real hands-on experience. This Telecom CRM Dashboard was designed to transform raw telecom data into clear, actionable insights that support business decisions and keep the customer at the center of the analysis. - Key Highlights: Sales and revenue tracking Customer segmentation (B2B vs B2C) Service usage analysis (Internet, Voice, SMS, Bundle) ARPU and churn rate KPIs Customer status, subscriptions, and SLA insights -Tools & Skills: Power BI | DAX | Data Modeling | CRM Analytics | Data VisualizationForecast Simulator
Hi all 😊 Ever wondered what those Power BI forecast settings actually do? I built an interactive simulator to demystify it. Adjust forecast length, seasonality, confidence intervals, and "ignore last" and watch the chart update in real time. Try different data scenarios: 📅Seasonal patterns 📈Upward trends 🎲Volatile data ⚠️Incomplete periods 🔗Live demo: https://giulio23.github.io/pbi-forecast-simulator/ 📂Code: https://github.com/giulio23/pbi-forecast-simulator Works standalone or embedded in Power BI via the HTML Content visual. Built with Claude and ChatGPT. eyJrIjoiNDQ1NjY5N2EtNjBkMS00MzBiLThhMzQtYmJhNmViYTk0ZWQwIiwidCI6IjI2OGUxZmZhLTMwMmItNDRmNS1iODlkLTYzMjcyMjhiMjhhMyIsImMiOjF9
