Flourish is a web-based data visualization and storytelling tool developed by Kiln and acquired by Canva, designed to create engaging, animated, and interactive graphics. Its core feature is a vast library of customizable templates, including animated bar charts, scatter plots, and interactive maps, which can be easily populated with data and published to the web. It's primarily built for journalists, marketers, educators, and anyone who wants to tell compelling data stories without needing design or coding expertise. Users typically open Flourish when they have data and want to create dynamic, embeddable visualizations that captivate an audience, such as a 'race bar chart' showing changes over time or an interactive survey result breakdown. It supports direct data upload (CSV, Excel), copy-pasting, and connections to Google Sheets, with outputs optimized for web embedding and social sharing.
Why It’s Useful
Flourish excels at creating visually stunning and animated data stories, offering capabilities far beyond static charts from Excel or even many advanced BI tools, making data more accessible and engaging. For the social media manager, Flourish enables the creation of viral 'bar chart race' videos that dramatically increase engagement and explain trends effectively. For the educator, it provides a dynamic way to illustrate historical data or complex processes, making lessons more interactive and memorable. A free public plan allows unlimited public projects and basic features, with paid plans offering private projects, advanced branding, and team collaboration. A powerful feature often overlooked is its 'Story' mode, which allows combining multiple visualizations into a guided, interactive narrative, turning data into a presentation. Its focus on highly dynamic and sometimes 'flashy' visualizations means it's sometimes not taken as seriously by pure analytical professionals, despite its robust underlying data capabilities. Flourish maintains a rich template library, a supportive user community, and frequent updates with new visualization types and features.
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