Transform, format, and parse datasets using D3 core data utilities.
npx skills add https://github.com/zacharyr0th/next-starter --skill d3-core-data
Please help me install this Agent Skill. Skill: d3-core-data Source: https://github.com/zacharyr0th/next-starter/tree/main/.claude/skills/d3/d3-core-data Command: npx skills add https://github.com/zacharyr0th/next-starter --skill d3-core-data
Use when performing data transformations, creating scales, formatting numbers/dates, or parsing CSV/TSV data. This skill centralizes core data manipulation tasks in D3.
Ask for help to build a data pipeline: parse CSV, compute aggregates, and render a chart with scales.
High-intent search queries and answers about installing and using this skill.
CSV and TSV parsing transforms raw delimited files into structured arrays ready for charting. D3 core data utilities handle parsing, type inference, and accessor functions to extract columns and prepare datasets for scales and rendering.
Scales map data domains to visual ranges using linear, log, time, ordinal, or band scales. D3 scales compute axis ranges, handle missing values, and enable consistent encoding of data values to positions, colors, and sizes across visualizations.
Data formatting converts raw values into locale-aware, human-readable output. D3 formatting utilities handle number precision, date patterns, and locale-specific conventions to ensure consistent, correct display in charts and reports.
Statistical helpers compute aggregates and descriptive summaries directly on data arrays. D3 core utilities provide mean, median, extent, and other statistical functions to summarize datasets for analytics and chart annotation.
Robust data transformation handles nulls, undefined values, and type mismatches during parsing and aggregation. D3 utilities validate inputs, coerce types safely, and skip or flag missing data to prevent downstream errors in scales and rendering.
Color schemes apply perceptually uniform palettes for categorical and continuous data encoding. D3 color utilities interpolate between colors, support sequential and diverging scales, and enable consistent visual encoding across charts.
h4vzzClean raw datasets into analysis-ready tables using pandas, pyjanitor, and great_expectations.
linehaul-aiManage coordinate systems and scales for Svelte visualizations across SVG, Canvas, and HTML.
drmowinckelsBind data to the DOM and render interactive D3.js visualizations across frameworks.
Lord1EgyptManipulate in-memory data with Polars DataFrame library.
