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Found 185 Skills
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Data visualization design based on Stanford CS448B. Use when: (1) Choosing appropriate chart types for data (2) Selecting visual encodings (position, color, size) (3) Critiquing or improving visualizations (4) Building D3.js visualizations (5) Designing interactions and animations (6) Choosing color palettes for accessibility (7) Visualizing networks or text data Covers Bertin, Mackinlay, Cleveland & McGill principles.
Best practices for doing quick exploratory data analysis with minimal code and a Pandas .plot like API using HoloViews hvPlot.
Best practices for developing advanced, interactive, and publication-quality data visualizations using HoloViz HoloViews
A user-empowering data visualization Vue 3 components library for eloquent data storytelling. ALWAYS use when writing code importing "vue-data-ui". Consult for debugging, best practices, or modifying vue-data-ui, vue data ui.