Can this skill handle very large datasets?

Yes, it includes patterns for using Datashader and Rasterize operations, which allow for the visualization of millions or billions of points without crashing the browser.

Does it support interactive elements?

Absolutely. It specializes in interactive selection, linked brushing across multiple plots, and dynamic updates via streams and DynamicMaps.

Is this skill compatible with Jupyter notebooks?

Yes, the code generated by this skill is optimized for use in Jupyter environments, Panel dashboards, and standard web deployments via Bokeh.

What is the primary benefit of using the HoloViz expert skill?

It allows Claude to generate declarative visualization code that focuses on what the data represents rather than the step-by-step instructions of how to draw it, leading to cleaner and more maintainable plots.

Which Python libraries are required for this skill?

The skill primarily uses HoloViews, Pandas, NumPy, and Bokeh. For specialized visualizations, it also utilizes NetworkX and Datashader.

HoloViz Data Visualization Expert

Name: HoloViz Data Visualization Expert
Author: cdcore09

bycdcore09

•

Data Science & ML

Creates advanced, interactive, and declarative data visualizations using HoloViews and the HoloViz ecosystem for complex data exploration.

This skill empowers Claude to function as a HoloViz specialist, focusing on the creation of sophisticated declarative visualizations using HoloViews. It provides deep expertise in composing multi-dimensional plots, implementing interactive streams for real-time data selection, and building complex hierarchical or network visualizations. By integrating with high-performance tools like Datashader and Bokeh, the skill enables the rendering of massive datasets while maintaining responsive, publication-quality output. It is particularly useful for data scientists and engineers who need to build interactive dashboards and perform deep exploratory data analysis without the overhead of imperative plotting code.

Key Features

01Interactive selection streams and linked brushing

02Integration with Datashader for large-scale data performance

03Advanced declarative element composition and layouts

04Network graph and hierarchical treemap visualizations

05DynamicMap implementation for responsive data exploration

062 GitHub stars

Use Cases

01Building interactive KPI dashboards and monitoring tools

02Multi-dimensional exploratory data analysis (EDA)

03Generating publication-quality scientific and financial visualizations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cdcore09/holoviz-claude data-visualization

For use in Claude.ai and ChatGPT

Download Skill