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mviz is a Claude skill that simplifies the creation of static reports for ad hoc data analysis by converting compact JSON specifications into professional HTML visualizations. It emphasizes a fast, AI-driven workflow that allows users to iterate quickly, generate reports, and utilize a variety of chart types without extensive coding. The tool works seamlessly with data from various sources, including local files and cloud databases.
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Mviz is a powerful tool designed for generating visually appealing static reports that facilitate ad hoc analysis of data. Unlike traditional business intelligence (BI) tools that prioritize reusability, mviz emphasizes the need for rapid and useful analysis. By integrating with Claude, an AI tool, mviz allows users to quickly iterate through data—querying, visualizing, refining, and sharing insights without the need for extensive infrastructure or verbose coding. Users can create compact JSON specifications that are transformed into professional-quality HTML visualizations, enabling fast and effective decision-making processes.
The analysis process is structured around four key steps: building context with the right data, developing a narrative to guide the inquiry, creating an initial visualization, and iteratively refining the visualization based on feedback. Users can engage with Claude using natural language queries to explore data, such as examining revenue trends or identifying anomalies, which Claude translates into SQL queries to extract relevant insights. Once the context is established, users can instruct Claude to generate polished HTML reports using mviz, which can easily be modified to meet specific visualization needs with simple follow-up commands.
Mviz supports a wide range of chart types, from bar and line charts to more complex visualizations like heatmaps and funnel diagrams, all formatted to fit within a customizable 16-column grid layout. Users can incorporate various elements such as tables and KPIs, using inline JSON for data and visual options. The tool also facilitates referencing external data files, allowing for seamless integration of local or cloud-based datasets. Reports generated by mviz are designed with aesthetics and usability in mind, featuring clean styling, responsive design for different viewing modes, and high-quality rendering suitable for print or digital presentation. Overall, mviz stands out as an innovative solution for companies seeking impactful data analysis that drives key business decisions.
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