Brick by Brick A Journey Through LEGO's World
Rather than building a traditional dashboard, I wanted to tell a story. Using LEGO data, I structured the report as a book with three chapters: Growth, Themes, and Complexity. Each chapter explores a different stage of LEGO's evolution, from its expanding universe of sets to the worlds it created and the increasingly sophisticated builds it inspired. By combining storytelling, custom visuals, interactivity, and accessibility, I transformed data into a narrative journey through creativity, imagination, and innovation. Just like LEGO itself, the report was built brick by brick. eyJrIjoiMjdkNDU2ODUtYzhkNS00YmZmLTlhM2UtOWFkYmM3NTQzMDZiIiwidCI6IjUwOWU3OGY0LTQ0MTctNDkyNi05MzFjLTQ3YzVjNWQwMThlZCIsImMiOjF9World Champion Winner - Live Finale Build - Europe's Flavor Story
Europe's Flavor Story – A vivid painting os life across Coffee, Chocolate and Life Satisfaction The report is structured into two main pages, each designed to present data in a clear and interactive way. Page 1 - Home Page – Interactive Map Overview Displays a dynamic map of Europe, highlighting countries based on selected indicators. Users can filter by region (Eastern, Northern, Southern, Western) to explore specific areas. Color palettes adjust automatically based on the selected type of color blindness, ensuring accessibility. The introduction outlines the three key themes: coffee consumption, chocolate consumption, and life satisfaction. Page 2 – Main Page - Fully Responsive Visuals The entire page adapts to the selected parameter (Coffee, Chocolate, or Wellbeing). Each selection changes: The overall color scheme Titles and explanatory texts Tooltips and chart content Key indicators, such as average consumption and historical variation Charts and tables update to reflect the most relevant data for the chosen theme. The “Shifting Pulse” table presents a dynamic Top/Bottom N view, showing how countries have moved over time—highlighting which ones are gaining or losing relevance in the selected indicator. Interactivity as a Core Focus A key goal was to ensure the user could actively explore the data, not just read it. Every visual element responds to user input, creating a context-aware experience. Navigation is guided by simple interactions, with visuals that shift to match the selected topic. The intent is to bring the data to life, allowing users to observe patterns, compare regions, and follow trends in a way that feels intuitive and engaging. eyJrIjoiNjFlNDFmNDMtYzc2My00YjYwLWI5MTItODU3OWQ1ZTg5MjAxIiwidCI6IjE2Njk5MjVkLTJlNTItNDMzZC1hM2U1LTQwNGEzYWU5ZTZhNiJ9🎬 Lights, Camera, Insight! Beyond the Blockbuster: What Really Makes a Movie Successful?
We often judge a movie by its box office numbers, but success is far more complex. This interactive report explores how budget, profit, popularity, and ratings come together to tell the real story behind movie success. Step inside and discover why the biggest blockbuster isn't always the biggest winner.REEL VERDICT — Four Halls. Four Stories. Countless Ways to Win.
Power BI Dataviz World Championship 2026 | Round 3 — Lights, Camera, Insight! What makes a movie successful? Is it the amount of money it earns? The love it receives from audiences? How efficiently it turns a production budget into revenue? Or simply how strongly it captures attention? REEL VERDICT explores one central idea: Movie success has no single formula. Different measures tell different stories — and different stories crown different winners. Rather than building a traditional analytical dashboard, I designed the report as an interactive cinema experience. The viewer enters through the Cinema Lobby, then moves through four different halls. Each hall screens a different interpretation of success. 🎟️ Enter the Cinema The journey begins in the Lobby, where the scale and structure of the movie universe are introduced. The original source contains more than one million records, but not every record represents a comparable feature film. The analysis therefore establishes a clearly defined movie universe before any winners are selected. The Lobby introduces: the size and global reach of the dataset; production countries, companies, genres and release periods; financial-data availability; audience-vote coverage; the filtering process used to create the analytical universe; and the four different ways in which success will be evaluated. From here, the audience chooses a hall. Hall 01 — Box Office Success: commercial scale Hall 02 — Audience Approval: viewer ratings Hall 03 — Budget Efficiency: return per dollar Hall 04 — Popularity / Reach: attention and visibility Each hall reveals a different champion and a different story. The final screening brings all four perspectives together to show that movie success has no single formula — different metrics crown different winners. Responsible Data Use A major focus of REEL VERDICT is making the analytical rules visible rather than hiding them behind the visuals. The report explicitly communicates: feature-film eligibility criteria; release-date and runtime validation; minimum audience-vote thresholds; revenue and budget qualification rules; incomplete financial-data coverage; the difference between revenue and profitability; the effect of very small budgets on return multiples; incomplete historical periods; co-production considerations; and the time-sensitive nature of popularity. Financial conclusions are made only where the required values are available. Audience rankings use vote thresholds to improve confidence. Popularity is presented as a current attention metric, not as sentiment, critical acclaim or permanent cultural influence. Most importantly, no external datasets were added to enrich or materially alter the supplied movie data. The limitations are part of the story because responsible storytelling requires showing not only what the data tells us, but also what it cannot tell us. Four halls. Four stories. One REEL VERDICT. slindsay slindsay_msft FabricPam Natalie_iTalent eyJrIjoiNDNjNTQ0OGUtMTJiNS00NGQzLWFkZTMtYTk1ZTI1MDYxNTUyIiwidCI6ImRjZDUxOTAwLTY5MDQtNDA1NC1iMTFjLTM5MTE1OTFmNTk2ZiIsImMiOjl9&embedImagePlaceholder=true&pageName=e8d1111670c82314bc40The Tale of Genji - visualising Japanese most famous romantic literature
The Tale of Genji Project Background Hikaru Genji (光源氏) is the mesmerizing protagonist of “The Tale of Genji,” a timeless masterpiece of Japanese literature penned by Murasaki Shikibu during the Heian era (AD 1008). As the emperor's illustrious son, Genji enchanted many with his radiant beauty and captivating charm. His legacy endures as the most celebrated and adored figure in Japanese literary history. I have visualized his myriad—though most illustrious—affairs and relationships, employing diverse criteria. It's essential to acknowledge that numerous other relationships and affairs are not encompassed in my data. My aim was to celebrate and share the richness of Japan's ancient culture and literature through my data visualization. This project has been a deeply enjoyable endeavor for me. Data Collection I sourced my data primarily from a Japanese website, Genji Biyori. This site provided abundant valuable information about “The Tale of Genji,” and it inspired me to gather data from it. https://ryoutei-senryu.jp/ I also utilized Copilot to describe each princess' appearance, allowing the audience to visualize each individual more vividly. Visuals The choice of visuals was straightforward; I gravitate towards simple and basic visuals for presenting data. This approach enhances audience comprehension more effectively than sophisticated visuals. Background Design I crafted the Canvas background in PowerPoint, leveraging its graphic design tools. This method proved highly effective, and I saved the background as an SVG file before importing it into Power BI. Theme I meticulously crafted the Power BI Theme using traditional Japanese colors to enhance the cultural aesthetic for the audience. I sourced the color codes from the Nippon Colors website: https://nipponcolors.com/ Accessibility In my journey to enhance report design with accessibility in mind, I delved into the PL-300 course, which provided invaluable insights. My goal was to consistently incorporate accessibility principles into my report designs. Choosing between a completely “Accessible Colour Theme” and retaining elements of Japanese culture in the colour palette was a challenging decision. Ultimately, I opted for the latter, striking a balance between accessibility and cultural authenticity. As someone who is partially colour blind, I made a conscious effort to use more contrasting colours to ensure clarity and readability. Throughout this project, I learned how to effectively use “Alt Text” and “Tab Order” to make content more accessible. These techniques are something I intend to employ in my future work. Description of each tab 思ひ人（Omoibito） - Lover I analyzed the collected data based on three different criteria: Affair/relationship category Frequency of meetings Frequency of communication Each criterion is examined through the lens of remarkable versus unremarkable romances. Upon analysis, the data reveals that Genji was quite the romantic, despite his numerous relationships and affairs. 五色（Goshiki） - Diversity I explored the collected data concerning diversity and inclusion, focusing on three criteria: Social class Age Appearance The findings show that Genji was quite open to women of various backgrounds. However, it is noteworthy that he was perpetually drawn to the memory of Fujitsubo, his beautiful stepmother and first love. 年（Toshi） - Age I scrutinized the collected data using two criteria: Genji’s age and the number of his affairs/relationships The ages of Genji and his princesses at the time of their meetings or relationships Interestingly, Genji’s romantic peak occurred in his late teens, which seems early. But considering the average lifespan of that era, it is understandable that he had many affairs and relationships during his late teens and twenties. 地（Chi） - Location I visualized the locations where Genji met his princesses on a map. He encountered most of them within Kyoto and its suburbs. The table to the right shows the locations alongside the princesses’ names. By expanding a location name, you will reveal the corresponding princesses. Clicking on a princess’s name will filter the map accordingly. 恋ふ（Kou） - Fall in Love with I wished to use hand-drawn pictures of each princess, but due to copyright issues, I settled on a summary table instead. The numbers on the left represent the order in which Genji had affairs or relationships with the princesses. Further information about The Tale of Genji If you are interested in The Tale of Genji and Heian era this video on YouTube is interesting to watch. The Tale of Genji: Elegance That Transcends the Ages - Core Kyoto - YouTube eyJrIjoiNWQ2ZWEyZGUtNDE5My00NzBkLWJkZDUtOTFjMzQzYTRhNmRlIiwidCI6IjBhMTE3Yjc1LTVhYTktNDdlMS1hYjNmLTFiNzU2ODA5MGMxNCJ9Heroes in the Shadows
Hi everyone, 🦇 Round 3 asked a deceptively simple question: what makes a movie successful? My answer is that it depends entirely on where you look, so instead of picking one metric and defending it, I built a report that lets four different, defensible definitions of success each crown their own winner. The build: Cover: the central tension, stated up front: success isn't always found in the spotlight. Beyond the Shadows: the 12-film scope and the question the whole report investigates. Four Questions, Four Heroes: the same 12 Batman films, ranked four different ways (box office, audience rating, budget efficiency, current attention), four different #1s. You Be the Judge: the page I'm proudest of: four live What-If sliders let you set your own weights, and a dynamic poster, name, and ranking recalculate in real time. Move a slider, watch the winner change. Out of the Shadows: the honest closing: what the data supports, what it can't prove, and a full evidence dossier documenting scope, fields, metric definitions, and every exclusion decision. Getting to a trustworthy 12-film sample took real cleaning, duplicate entries, placeholder budgets shared across unrelated titles, and a naive title filter that nearly excluded The Dark Knight itself. That process is documented in the report's own Report Dossier, openable from the last page. Accessibility was treated as a first-class requirement throughout, alt text, deliberate reading order, and contrast-checked color choices, not an afterthought. AI tools assisted with design, copywriting, DAX logic, and accessibility guidance; all data comes solely from the challenge-supplied files, with movie posters sourced directly from the dataset's own image links. Thanks for reading! Hope Gotham's numbers tell you something you didn't expect either. Lucas Bacelar LinkedIn: https://www.linkedin.com/in/lucasbacelar/ slindsay FabricPam Natalie_iTalent Tky! 2026 developed by Lucas Bacelar for Power BI Dataviz World Champs | Round 3 eyJrIjoiMjhkNTc4ZWQtYjBhMi00ZDhhLTgyYWItZjNmZWMzNGE5Nzk1IiwidCI6IjU2NTJmOWQ2LTRjYTktNGYyMi04MTFjLTMwMDMxYmE2NzE0MyJ9&pageName=99477f7f243ec385490cThree Spotlights, Three Winners
Lights, Camera, Insight asks a simple question with no simple answer: what makes a movie successful? Across five connected pages, the report explores success through box office performance, performance against production budget, audience ratings and country. The story shows why the biggest earner, the film that stretched its budget furthest and the audience favourite are rarely the same movie. It also explains why box-office revenue cannot be treated as profit and why audience scores mean more when supported by more votes. The analysis began with almost 1.5 million movie records. Each question uses only films with enough dependable information to answer it fairly, while clearly showing what is missing, excluded or uncertain. The final page reveals how the data was narrowed and why large productions are represented far more often than smaller films. Built in Power BI using TMDB movie data distributed through Kaggle, the report combines guided storytelling with interactive comparisons. Change the question, and the winner changes. Thanks to the organisers and everyone involved in the event. Thanks, slindsay, and the entire team for making this event a memorable one. eyJrIjoiZTViNjk1OGUtNjcxMi00NzMxLWFlNjgtZmEzODQyMjNiYmNmIiwidCI6IjU4ZTkzNGIyLTE4ZGUtNDBjNy04NzhjLThlZGI3YzE5Y2RhMiJ9
PitchSide Pro: Where Business Meets Data Storytelling
PitchSide Pro is a five-page Power BI report that analyzes five years (2021 to 2025) of football merchandise sales performance, blending executive storytelling with interactive business intelligence to uncover what drives revenue growth and where the next opportunities lie. The report walks decision-makers through a structured analytical journey: Home opens with a cinematic introduction that sets the tone and brings stakeholders into the story before the numbers begin. Overview gives a high-level snapshot of business health, showing Net Revenue, Revenue Growth, Orders, AOV, Units Sold, and Gross Profit alongside Conversion Rate, Profit Margin, Loyalty Revenue Share, and Active Markets, answering the simple but important question of whether growth is happening and whether it is healthy growth. Launches looks at the product launch timeline through a moment-aware lens, layering tournament, league, holiday, and transfer window context onto launch performance to reveal how timing and key football events shape commercial outcomes. Products takes a deep dive into each SKU, combining a six-axis radar profile, a five-stage product journey map, and a revenue Sankey that flows from Tournament Window to Channel to Customer Segment to Top Countries, showing exactly where each product's value comes from and which markets carry it. Sales unpacks commercial performance across channels, customer segments, and geographies, with an event-impact revenue trend that links revenue spikes and dips to identifiable football moments such as tournament windows and transfer activity. Where to Focus Next turns insight into action by identifying scenarios across regions, customers, categories, and teams, then pairing each finding with a clear current-to-next recommendation backed by conversion and revenue growth levers covering pricing, promotion discipline, moment timing, loyalty acceleration, and bundling. Built on advanced DAX, custom HTML, CSS, and SVG visuals including a Sankey diagram, radar chart, and product journey map, and styled with a navy and indigo executive theme inspired by football typography, the report moves beyond static reporting to deliver actionable intelligence that helps stakeholders make faster, sharper decisions across product, marketing, and commercial strategy. slindsay here is my submission. Thank you! eyJrIjoiYjI3NGVjNzItZTI0My00NTRjLWJjYTgtNTdlYTc3YmEyN2RjIiwidCI6IjZlZjMzOTkzLWEyMmQtNDA3Mi04NGNhLWFmYzEwY2E0ODY2NSIsImMiOjEwfQ%3D%3DWho's watching? - DataViz Championship 2026 Round 3
Cinema is all about perspective. What makes a hit depends entirely on who you ask: the studio mogul, the film critic, or the passionate fan. This dashboard explores cinema through all three lenses, using the TMDB movie dataset. slindsay, PrachiJain_2025
Olatunji Isaac Power BI Dataviz World Champs
Defining Success: A Data-Driven View of Movie Performance This Power BI dashboard explores what defines movie success across audience reception, engagement, and financial performance. Using a dataset of 1.4M+ movie records, the analysis examines release trends, ratings, audience engagement, revenue, budget, profitability, and ROI. Across four pages — Defining Success, Commercial Success, Audience Success, and The Verdict — the dashboard moves from understanding industry scale and audience reception to evaluating financial performance and ultimately identifying the dimensions that define overall movie success. Key Takeaway: Movie success isn't defined by one number — it's a combination of audience reception, engagement, and financial performance. eyJrIjoiNGJjMzc4ZTctNWU2ZC00YzlhLWFlNzItYzJlMTA4Mjg5ZGVlIiwidCI6IjEzZTNiMTg2LWM0NDYtNGFhYi05YzZkLTlhYjliYjc2ODE2YyIsImMiOjh9
