Data Visualization Insight

About

Streamline your data analysis workflow with automated exploration and interactive chart generation. This skill guides you through a structured process—from analyzing raw CSV, Excel, Parquet, or JSON files using Polars to proposing tailored visualization strategies based on your specific interests. It automates the creation of reactive marimo notebook cells using Plotly, providing production-ready charts and data-driven conclusions to help you uncover meaningful patterns, trends, and anomalies in your datasets.

Key Features

• Automated data profiling and schema analysis using Polars
• Support for multiple file formats including CSV, Excel, Parquet, and JSON
• Intelligent visualization strategy proposals based on data characteristics
• Automated synthesis of data-driven findings and analytical conclusions
• Interactive chart generation using Plotly Graph Objects in marimo notebooks
• 0 GitHub stars

Use Cases

• Performing rapid exploratory data analysis on a new dataset to identify key patterns
• Creating interactive, reactive dashboards for data storytelling and presentations
• Automating the setup of data processing and visualization pipelines in marimo notebooks