data-visualization-techniques

Community

Turn data into clear visuals that drive decisions

AuthorAndyMarigoldLabs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Transform data into clear, decision-ready visuals that help teams interpret trends, compare metrics, and tell data stories.

Core Features & Use Cases

  • Chart Type Selection: Guides choosing line, bar, pie, scatter, and area charts based on data questions.
  • Library Guidance: Recommends and demonstrates usage of Recharts, Chart.js, and D3 for production-ready visuals.
  • Dashboard & Storytelling: Provides dashboard design principles and best practices for data storytelling.

Quick Start

Install dependencies and render a basic chart with minimal setup. For example, install Recharts, then import components like LineChart, Line, XAxis, and YAxis, and pass a data array to render a basic line chart. Example: import {LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer} from 'recharts' and data = [{name: 'Q1', value: 400}, {name: 'Q2', value: 700}].

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: data-visualization-techniques
Download link: https://github.com/AndyMarigoldLabs/continuous-funding/archive/main.zip#data-visualization-techniques

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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