WOW 2026 W29 – Peas in a Pod Power BI
Completed this week's Workout Wednesday challenge in Power BI. This challange 'Peas in a Pod' visual was designed by Tobin Hardy. It was a fun challenge that involved reshaping the data in Power Query and using error bars in a creative way to recreate the visual. I also learned how small formatting settings can make a big difference in the final result.Custom Waterfall Chart | Miniviz May Challenge
This PBIX contains a custom waterfall chart built with Deneb as part of the #MinivizMay challenge - Week 1 The visual was designed with a financial storytelling approach, but the structure can be adapted to many other scenarios and business cases. It requires basic to intermediate knowledge of Deneb for customization. Some manual code adjustments may also be necessary if you want to make the temporal X-axis fully dynamic or fine-tune the horizontal connector lines between start/end values. Feel free to explore, adapt, and improve it. Hope you all enjoy it! eyJrIjoiMGI1MTUxZDUtZTcyNC00NWY5LWJmMjAtZmUxMTAxMzgzYWJkIiwidCI6IjE2Njk5MjVkLTJlNTItNDMzZC1hM2U1LTQwNGEzYWU5ZTZhNiJ9
Paraguay by the Numbers: 2022 National Census Final Results
This Power BI dashboard provides an interactive and deep-dive analysis of the 2022 National Census of Paraguay. It translates complex demographic and socioeconomic data into actionable visual insights, covering the entire national territory. The project focuses on how living conditions, access to technology, and household income vary across different departments and districts. eyJrIjoiZGM2YTZmNjYtMjhhNS00YzgxLWFmNzItODMwZjUwMWY5YjUyIiwidCI6IjUxMTU5MTVhLWM2NGYtNGViNS1hZTFjLWFmZTUzYjFkNzk3YSJ9🕸️ NODES FLOW CHART
Using SVG in Power BI, I created a watch-like chart that shows linked purchases in supermarkets over time. This kind of graph allows us to see not only direction, but also intensity and changes throughout the week. Instead of looking at transactions in isolation, we can observe how categories connect — and how those connections evolve. Other useful applications: 🚢 COMEX: origin and destination of exports/imports ⚽ Passes between players from the same team during a match 🎓 Career paths: transitions from school level to postgraduate programs eyJrIjoiNmY2NjM2OTUtOTc2YS00ZTRkLWFhYTYtNGE3MDcxZjFhYTA3IiwidCI6ImY0Yzk2Mjg0LTA5M2QtNDgwOS1iZTNkLTg3ZDY3ZGY3MDkxYyJ9Raise the Bar | QuickViz | Top10 Luxury Brands ♣
This striking chart, framed elegantly, presents the Top 10 Luxury Brands ranked by their Market Value (in Billions of Dollars), highlighting their respective values and countries of origin for a competitive overview. eyJrIjoiOWQwODU1MzktMWYyZi00NjBkLTljZTQtYjdkM2YxOGY0MDIyIiwidCI6ImY0Yzk2Mjg0LTA5M2QtNDgwOS1iZTNkLTg3ZDY3ZGY3MDkxYyJ9&embedImagePlaceholder=true
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.
