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Data visualization design, tools, and storytelling for impactful analytics presentations

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name visualization
description Data visualization design, tools, and storytelling for impactful analytics presentations
version 2.0.0
sasmp_version 2.0.0
bonded_agent 04-visualization-architect
bond_type PRIMARY_BOND
config [object Object]
parameters [object Object]
observability [object Object]

Data Visualization Skill

Overview

Master the art and science of data visualization to communicate insights effectively using modern tools and design principles.

Core Topics

Visualization Principles

  • Chart selection guidelines
  • Color theory for data visualization
  • Visual hierarchy and attention
  • Accessibility in visualization

Tools & Platforms

  • Tableau (dashboards, calculated fields, LOD expressions)
  • Power BI (DAX, data modeling, reports)
  • Python (Matplotlib, Seaborn, Plotly)
  • R (ggplot2, Shiny)

Chart Types

  • Comparison charts (bar, column, dot plot)
  • Trend charts (line, area, slope)
  • Distribution charts (histogram, box plot, violin)
  • Relationship charts (scatter, bubble, heatmap)
  • Composition charts (pie, treemap, stacked bar)

Data Storytelling

  • Narrative structure for data presentations
  • Annotation and callout techniques
  • Interactive dashboard design
  • Executive presentation best practices

Learning Objectives

  • Select appropriate visualization for data and audience
  • Create professional dashboards in Tableau and Power BI
  • Design effective data stories
  • Apply visualization best practices

Error Handling

Error Type Cause Recovery
Data connection failed Source unavailable Check connection, use cached data
Slow dashboard Too much data Aggregate, filter, or use extracts
Chart unreadable Poor design choice Apply chart selection guidelines
Accessibility issue Color/contrast Use colorblind-safe palette
Mobile display broken Non-responsive Redesign for mobile-first

Related Skills

  • statistics (for data to visualize)
  • programming (for programmatic visualization)
  • career (for presenting to stakeholders)