data-visualization-choose-by-data-relationship
Sub-skill of data-visualization: Choose by Data Relationship (+1).
Best use case
data-visualization-choose-by-data-relationship is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of data-visualization: Choose by Data Relationship (+1).
Teams using data-visualization-choose-by-data-relationship should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/choose-by-data-relationship/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How data-visualization-choose-by-data-relationship Compares
| Feature / Agent | data-visualization-choose-by-data-relationship | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of data-visualization: Choose by Data Relationship (+1).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Choose by Data Relationship (+1) ## Choose by Data Relationship | What You're Showing | Best Chart | Alternatives | |---|---|---| | **Trend over time** | Line chart | Area chart (if showing cumulative or composition) | | **Comparison across categories** | Vertical bar chart | Horizontal bar (many categories), lollipop chart | | **Ranking** | Horizontal bar chart | Dot plot, slope chart (comparing two periods) | | **Part-to-whole composition** | Stacked bar chart | Treemap (hierarchical), waffle chart | | **Composition over time** | Stacked area chart | 100% stacked bar (for proportion focus) | | **Distribution** | Histogram | Box plot (comparing groups), violin plot, strip plot | | **Correlation (2 variables)** | Scatter plot | Bubble chart (add 3rd variable as size) | | **Correlation (many variables)** | Heatmap (correlation matrix) | Pair plot | | **Geographic patterns** | Choropleth map | Bubble map, hex map | | **Flow / process** | Sankey diagram | Funnel chart (sequential stages) | | **Relationship network** | Network graph | Chord diagram | | **Performance vs. target** | Bullet chart | Gauge (single KPI only) | | **Multiple KPIs at once** | Small multiples | Dashboard with separate charts | ## When NOT to Use Certain Charts - **Pie charts**: Avoid unless <6 categories and exact proportions matter less than rough comparison. Humans are bad at comparing angles. Use bar charts instead. - **3D charts**: Never. They distort perception and add no information. - **Dual-axis charts**: Use cautiously. They can mislead by implying correlation. Clearly label both axes if used. - **Stacked bar (many categories)**: Hard to compare middle segments. Use small multiples or grouped bars instead. - **Donut charts**: Slightly better than pie charts but same fundamental issues. Use for single KPI display at most.
Related Skills
data-validation-reporter
Generate interactive validation reports with quality scoring, missing data analysis, and type checking. Combines Pandas validation, Plotly visualization, and YAML configuration for comprehensive data quality reporting.
worldenergydata-source-readiness
Route agents to the canonical worldenergydata source-readiness skill and summary script. Use when asked for worldenergydata data completeness, data locations, latest known data dates, scheduler freshness, source-readiness status, or acceptance-criteria inputs across the repo ecosystem.
sodir-data-extractor
Extract and process Norwegian Petroleum Directorate field and production data from SODIR
metocean-data-fetcher
Fetch real-time and historical metocean data from NDBC, CO-OPS, Open-Meteo, ERDDAP, and MET Norway. Use for buoy data retrieval, tidal observations, marine forecasts, and multi-source data fusion.
energy-data-visualizer
Interactive visualization for oil and gas production data analysis using Plotly dashboards
bsee-data-extractor
Extract and process BSEE (Bureau of Safety and Environmental Enforcement) data including production, WAR (Well Activity Reports), and APD (Application for Permit to Drill) data. Use for querying production data, well activities, drilling permits, completions, and workovers by API number, block, lease, or field with automatic data normalization and caching.
tax-return-data-capture-and-archival
Capture structured tax return summaries as YAML for year-over-year comparison, with fallback to manual PDF download and relocation when automation fails
repo-separation-for-sensitive-data
Architecture pattern for splitting confidential data and reusable algorithms across repos
metadata-only-wiki-sweep-workflow
Disciplined inventory process for cataloging documents by filename/path without content claims, using parent-centric grouping to prevent stub proliferation
metadata-only-inventory-sweep
Execute constrained file inventory sweeps with metadata-only stubs and validation, useful for staged documentation work on large file sets
handle-blocked-financial-sites-data-export
Workflow for extracting data from blocked financial sites when browser automation is restricted
financial-data-export-workflow
Structured process for exporting and analyzing multi-year brokerage transaction history when browser automation is blocked