Workout Wednesday 2026 Week 41: Stripe Chart Using Native Column Chart
This week's challenge is from Santhana Lakshmi Ponnurasan. What if a column chart could tell a story through color? A stripe chart uses colored stripes to reveal patterns and changes in data at a glance. In this exercise, we’ll transform Power BI’s native column chart into a stripe chart where each stripe represents a data point, and its color helps us spot patterns, changes, and unusual values. Same visual, a different way to see the data. Ready to give your column chart a makeover? For more info, see: https://www.workout-wednesday.com/pbi-2026-w41/Workout Wednesday 2025 Week 50 | Power BI: First Snowfall Scatterplot
Challenge The first snowfall in Denver was unseasonably late this year. So I got curious about the data and decided to make a visualization. While this one does communicate data, it's taking a bit of artistic license to achieve that winter feeling. This is your challenge as well: create a first snowfall scatterplot with some wintery visual effects. You can decide if you are making a more traditional chart or data art. But please keep accessibility and readability in mind! I made the example using the free HTML Content custom visual. Requirements Retrieve snowfall data from a reputable source. You can use the Denver data as shown in the example, or you can find data for a location of your choice (just try to make sure it goes back at least 40 years so your scatterplot isn’t too sparse). Create a measure that shows the amount of snowfall in the first month of each season. Create a scatterplot using your Power BI visual of choice (custom or core). Show the season/year on one axis and the month of first snowfall on the other axis. Plot points for the month in each season where the first snow of the season occurred. Make the size of the points correspond to the amount of snowfall in that month. Create a tooltip that appears when you hover over each data point that displays the month, season, and snow amount for that point. Add design elements related to winter or snow. In the example, the data points have the shape of a snowflake, there is a snowy background image, and the colors are related to snow and winter. And the snowflake data points are animated, falling into place when the report first opens and glowing while the visual remains in view. Dataset Data for this challenge can be found at https://www.weather.gov/bou/seasonalsnowfall. This data is supplied by the US National Weather Service. If you would prefer to use data from a different source, that is fine – just make sure you can complete the requirements for the challenge. Share After you finish your workout, share on Bluesky or LinkedIn using the hashtags #WOW2025 and #PowerBI, and tag @MMarie, @shan_gsd, @KerryKolosko (on BlueSky). Cross-posted at https://workout-wednesday.com/pbi-2025-w50. eyJrIjoiYjYwYjQ3NjItOWZjZi00OTQwLWIyZTMtMzlmYjVkNDdmYWEyIiwidCI6Ijg3N2MzNGI5LWRjNDMtNGMwYS04N2MzLTgwZDcwN2FiYzY3MSIsImMiOjN9
Olympic Performance Index - Sanofi Viz Olympics 2024
🏆1st Place – Sanofi Viz Olympics 2024: Redefining Olympic Success with Data The Olympic Games are more than just a competition, they are a global event shaped by performance, sustainability, and experience. To go beyond traditional medal counts, we developed the Olympic Performance Index (OPI): a single score that consolidates key indicators across multiple categories, providing a comprehensive and data-driven way to evaluate and compare different Olympic Games. With this dashboard, we uncover unique insights: Paris 2024 stands out for its commitment to sustainability, repurposing historic venues to reduce its environmental impact. For the first time in history, spectator satisfaction surpasses athlete satisfaction, highlighting the Games' evolution into a larger cultural phenomenon. This project showcases how data visualization can transform the way we analyze and understand global events. Explore our dashboard and see how numbers tell the untold stories of the Olympic Games! 📊🔥 Team credit: Thomas Chaussy, Catherine Claret & Isabelle Miquet eyJrIjoiYzY0MjczZWQtMzliZi00NDg1LTliOGEtZGZjMWQ2ZGRhMmYzIiwidCI6ImFjYTNjOGQ2LWFhNzEtNGUxYS1hMTBlLTAzNTcyZmM1OGMwYiIsImMiOjh9Cost Monitoring Report
Cost monitoring report project in a primary economic sector (mining). The main objective of this dashboard is to make comparisons between different periods and show, in a practical way, the variation of costs over time. eyJrIjoiNWQ4YTRhMTUtYmNjOC00M2RmLWE1ZWMtNWVjODNkYzJjZmNkIiwidCI6IjcwZGU4YWNkLTYxMDQtNDU0MS05MzY3LTBhZjQzODVlZjQxMiIsImMiOjJ9
Visualizing Animation Easing
The objective is to visually represent the most commonly used animation easing techniques by leveraging the Power BI Visual API and d3.js. Easing can significantly impact the success of an animation. Consequently, when selecting an easing function, it is crucial for the author to preview how it will affect the animation property values over time and at what rate. Armed with this knowledge, the author can make an informed decision whether to stick with the current ease or explore alternative options. In the interpolation data, x represents all the time intervals of animation, y is the position based on give ease and speed is change of y / change of x rounded. Position is simply plotting y and x of the interpolation data. Speed is plotting the derivative of y rounded and x. eyJrIjoiOTE1YmQ2YzYtYTNlNC00YTI3LWEzMjMtMjIyY2EwODU1NzAxIiwidCI6ImVhMTA4ODY5LTVmYjgtNGIyNy05YmMxLTA1ZmYyZmRkOGRmNSJ9Workout Wednesday 2023 Week 24 | Power BI: Visualize Change Between Two Points in Time with Deneb
For more info, see https://workout-wednesday.com/pbi-2023-w24/ This week we are continuing our viz efforts inspired by the 1 dataset 100 visualizations project, presented by the Data Viz Project. Last week, Shannon challenged us to create as many visuals as possible using the core visuals available in Power BI. This week's challenge is to create visuals using the Deneb custom visual. I have chosen 3 visuals that can't be created using core visuals and would be difficult to create using free custom visuals outside of Deneb. These visuals use the visual properties of length and position to emphasize the change in values within each country. For help building these visuals, check out: Deneb documentation Vega-lite documentation and examples Deneb templates library from PowerBI.Tips eyJrIjoiODdlN2E2M2YtODY1MC00Y2QyLWFkNzAtY2MwYTE4NDc5MWIxIiwidCI6IjU0YTc3ZTU4LTliZjktNDc1OC05M2M3LTk0Y2ZkNmYwNTY3YSIsImMiOjZ9
