Workout Wednesday 2026 Week 38 | Power BI: SVG Donuts
Hey everyone, welcome to this week's Workout Wednesday!😊 We've all been there: a stakeholder asks for a super slick, polished design, but then drops the catch - no custom visuals allowed due to security rules. In this challenge, we're getting around that limitation by using inline SVG code inside dynamic DAX measures. You'll build color-shifting progress rings that update on the fly right inside a standard Power BI Table visual. No external downloads, no compliance headaches - just a clever way to stretch native features further. Dive in and give it a shot!Workout Wednesday 2026 Week 37: Categorical Icon Matrix
The Sept 16 #Wow2026 Challenge is from Santhana Lakshmi Ponnurasan. Happy National Guacamole Day! As a big fan of guac, I wanted to celebrate by bringing together two of my favorite things- Power BI and guacamole. Because why simply enjoy a bowl of guac when you can also turn it into a data visualization? An Icon Matrix uses simple icons instead of repeating the same words or numbers in every cell. This makes the visual easier to read because you can quickly scan the icons and spot patterns without reading each value individually. It is especially useful when comparing simple categories such as Yes, Maybe, and No, or showing status and compatibility. In this example, the icons help us understand what each ingredient brings to the guac- whether it makes it classic, spicy, chunky, fruity, or kid-friendly. And, of course, I built it in two different ways: using Power BI’s native conditional-formatting feature and using DAX. For more info, see https://www.workout-wednesday.com/power-bi-challenges/.Workout Wednesday 2026 Week 36 | Power BI: Create an Unemployment Waffle Chart
This week's challenge is from James Stratton. Welcome back to Workout Wednesday! This week we’re exploring parts to a whole using a waffle chart and unemployment data. This visual was inspired by Steven Ponce, whose work has been a great source of inspiration for me. It also builds on my previous Workout Wednesday waffle chart, giving me an opportunity to revisit the visual and take it in a different direction. The most challenging—and probably my favorite—part of this visual is the DAX. For more info, see https://www.workout-wednesday.com/pbi-2026-w36/Workout Wednesday 2026 Week 34 | Power BI: Visualizing WoW Chart Choices
Last week's bump chart reminded me of one of our early challenges from 2021, where David turned a ribbon chart into a bump chart. We've done other bump chart challenges over the years, so give them a try if you haven't already. This made me curious about trends in chart selection in our challenges. So I scraped the WoW challenges from the website and listed all data visualizations used in each challenge. It might be no surprise to you that the bar chart is the most used visualization type across challenges from 2021 through last week. And that is even after I split out column charts, 100% stacked bar charts, diverging stacked bar charts, Gantt charts, bullet charts, waterfall charts, and some others into their own categories. My list ignores UI elements like slicers and buttons because they aren't really charts or data viz, but navigation and selection elements. Below is the dashboard I created. This one is a little more effort than the single-visual challenges, but I'm hoping we can have some fun with it. You can copy my design exactly, but the requirements give you some design freedom. I'm excited to see what you come up with! See the full challenge at https://www.workout-wednesday.com/pbi-2026-w34/.
Workout Wednesday Bump Chart with Native Power BI Visuals
I recreated Week 33 #WOW2026 visualization, which uses a native Power BI line chart to create a bump chart. I've wanted to explore this technique for some time, so this felt like the perfect opportunity to finally give it a try. Of course, I didn't stop there 😄 As I worked through the solution, I started experimenting with a few ideas of my own. I added a companion bar chart showing enrolment figures, ranking badges to reinforce position at a glance, and a year dropdown slicer using Power BI's new dropdown formatting options. These additions helped provide a little more context behind the movement in the bump chart, making it easier to connect ranking changes with the underlying enrolment numbers. One detail I wanted to refine was the alignment of the data labels. A shoutout to Valerie Junk, whose video helped me get them lined up and add a bit more polish to the final result. What I enjoyed most about this exercise was seeing how much can be achieved using native Power BI visuals. What started as a recreation quickly turned into an opportunity to explore formatting, storytelling, and ways of adding analytical context to the original design. Links Original Workout Wednesday post: https://www.workout-wednesday.com/pbi-2026-w33/ Valerie Junk's video: https://youtu.be/xghqR5UnED0?si=iyb12QClsPPx0jZx A big thank you to Lakshmi Ponnurasan and the Workout Wednesday community for the inspiration.Power BI Financial Dashboard – Take Control of Your Business Performance
Are You Struggling to Make Sense of Your Financial Data? Many businesses drown in spreadsheets and guesswork, missing critical opportunities to boost revenue, cut costs, and maximize profits. Without clear financial visibility, you risk: Blind spots in revenue performance – Are you hitting targets or falling short? Uncontrolled expenses – Which costs are draining your profits? Unclear profitability by product/service – What’s really driving your bottom line? Reactive decision-making – No early warnings for cash flow dips or seasonal slumps. Stop guessing. Start optimizing. This ready-to-use Power BI dashboard gives you real-time, visual, and interactive financial insights—so you can track performance, spot trends, and act fast. Key Problems It Solves: Revenue vs. Targets Tracking – Instantly see if you’re on track or need to adjust strategy. Profitability Breakdown by Product/Service – Identify high-margin winners and underperformers. Expense Control & Cost Optimization – Pinpoint wasteful spending before it hurts profits. Seasonal & Trend Analysis – Predict dips and plan ahead to stabilize cash flow. Why This Dashboard? No Complex Setup – Plug in your data, and it works instantly. Interactive & Visual – No more messy spreadsheets—just clear, actionable reports. Customizable for Any Business – Works for eCommerce, retail, SaaS, and more. Real-Time Decision Making – Spot risks and opportunities before competitors do. Who Needs This? Finance Teams – Simplify reporting and present insights in seconds. CEOs & Business Owners – Get a 360° view of financial health. Startups & SMBs – Make data-driven decisions without a finance expert. Consultants & Analysts – Deliver stunning, professional reports to clients. eyJrIjoiYTBkODhlMTUtMGY1ZS00ZGUyLThkMjMtYTE2YmY4NjEyOWE5IiwidCI6ImE5NDUyNTg2LTJmNGMtNGNiMS04ZDJlLTI2ODkyODllZTcyNiIsImMiOjl9
Fantasy Premiere League Analytics Hub v3
Multi Seasonal Report to help Fantasy managers track player performance discover hidden gems and undervalued assets Main changes from previous version: Changed the pipeline from just python > powerbi to python >sql databae > powerbi' This was done to handle multi season analysi as the previous pipeline wasnt fit to do so Utilised bronze silver gold staging in sql More contextualised kpis Customiseable charts (parameters) Utilised HTML visuals for KPIs, Visuals (player explorrer page) and tooltips Star Schema Data Model eyJrIjoiMTVjMTdkMWEtZTQwOS00NDM0LTkxYTEtMjJmODY2ZDhmMTY0IiwidCI6ImQxMjA2OTQzLWJmY2MtNGM3NC04MmQ0LTA1ZTYzYTQzMzViZiJ9Workout Wednesday 2026 Week 35 | Power BI: Ternary Charts for Cross-Sell
This week's challenge comes from Andrei Khaidarov. Traditional customer rankings tell us who generates the most revenue, but they do not explain what those customers buy. A customer may be highly valuable and still buy almost entirely from one product category – which makes the next conversation much clearer than a generic “upsell” message. This week, build a Customer Cross-Sell Map in Power BI. Use a ternary chart to position every customer by the share of their revenue that comes from Furniture, Office Supplies and Technology. A customer near one vertex is a category specialist; a customer in the middle has a balanced basket; a customer near an edge has an obvious missing category. Your job is to turn that position into an action. Show the highest-value customers, make the category mix readable, and use a standard Power BI matrix to reveal the exact revenue, profit and recommended next step behind every point. Find more information at https://www.workout-wednesday.com/pbi-2026-w35/Workout Wednesday 2026 Week 33 | Power BI: Bump Chart using Native Line Chart
This week's WoW challenge is from Santhana Lakshmi Ponnurasan. A bump chart is a fun way to see how rankings change over time. It makes those ups and downs really easy to follow, without getting lost in a bunch of numbers. You can quickly spot who’s moving up, who’s dropping down, and who’s staying consistent. Think of it as turning rankings into a simple visual story! And the best part? You don’t need a fancy custom visual- you can actually tweak a native line chart in Power BI to achieve this! More info at https://www.workout-wednesday.com/pbi-2026-w33/.Pizza Sales Report
Five business insights from data Most Pizza Selling In 16-20 Hours. Most Selling Large Pizza Name of Thai Chicken. At 8242, Friday Had the Highest Sum Of Quantity And Was 36.57% Higher Than Sunday, Which Had The Lowest Sum Of Quantity At 6035. Quarter 2 Has Increase Pizza Quantity. Quarter 4 Has Decrease Pizza Quantity eyJrIjoiOTA1OGYwZWYtMjVhNS00NTY0LTgzNmYtNGJhZWJkNGE1ZTViIiwidCI6ImJmYjZiODdiLTViODUtNDkxMS1hYWMxLTJkODIyMThiOGQ4ZCIsImMiOjl9
