skills.rest
zzafergok
zzafergokCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

data-visualization

Create publication-ready visualizations from datasets using matplotlib, seaborn, and Plotly.

1|1|Updated Mar 22, 2026
Search Tags:#accessibility#python#visualization#plotly#matplotlib#seaborn#color-theory
One-click install
npx skills add https://github.com/zzafergok/skills --skill data-visualization-zzafergok
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-visualization
Source: https://github.com/zzafergok/skills/tree/main/10-research-data/data-visualization
Command: npx skills add https://github.com/zzafergok/skills --skill data-visualization-zzafergok

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data teams often spend time crafting charts manually, risking inconsistent visuals and missed insights. This Skill consolidates guidance, code patterns, and design principles to streamline the creation of clear, accessible visualizations.

Core Features & Use Cases

  • Chart selection guidance: choose the right chart type for the data relationship.
  • Python visualization patterns: ready-to-use code templates for matplotlib, seaborn, and Plotly.
  • Design and accessibility: color theory, typography, and contrast considerations to ensure readable visuals.
  • Use Case: transform a messy dataset into a publication-ready figure suitable for reports and dashboards.

Quick Start

Create a chart from your dataset using the provided Python patterns.

Frequently Asked Questions about data-visualization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right visualization for my dataset?▼

Data visualization is streamlined by applying principled design guidance to select chart types matched to data relationships, ensuring clear, publication-ready figures suitable for reports and dashboards.

Can I use this Skill to generate matplotlib and seaborn code for reports?▼

Yes, you can generate ready-to-use Python visualization patterns for matplotlib and seaborn to transform datasets into publication-ready figures suitable for reporting and dashboard workflows.

Does this Skill apply accessibility and color theory to charts?▼

Yes, this Skill applies color theory, typography, and contrast principles to charts to ensure readable, accessible visuals suitable for publication-ready figures and dashboard workflows.

What's the best way to create interactive plots with Plotly using this Skill?▼

The best way to create interactive plots is by using the provided Plotly code patterns to build clear, reusable, and accessible visualizations from your datasets.

Are there ready-to-use Python code templates for data visualization?▼

Yes, this Skill provides ready-to-use Python code templates for matplotlib, seaborn, and Plotly that apply design principles to streamline the creation of clear, accessible visualizations from datasets.

Related Skills

Explore More Data & Analytics Skills→
sagunkayasthasagunkayastha

vaex

Process and visualize tabular datasets larger than RAM using out-of-core DataFrames.

Community
Advanced
rubenslivrubensliv
15

plotly

Generate interactive plots from pandas dataframes using Plotly Express and graph_objects.

Community
Advanced
bacocobacoco

data-analyst

Analyze datasets with pandas, numpy, matplotlib, and seaborn for insights.

Community
Intermediate
hyukudanhyukudan
1

data-visualization

Generate Python code for Matplotlib and Plotly data visualizations.

Community
Intermediate