Data & Analytics

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules.

Analyze trends in data with statistical methods and visualization. TRIGGERS - Use when user needs help with trend-analyzer related tasks.

Create visual data dashboards with charts, KPIs, and insights. TRIGGERS - Use when user wants a dashboard, data visualization, or metrics overview.

Design A/B tests with hypotheses, variants, sample sizes, and analysis plans. TRIGGERS - Use when user wants to run A/B tests, split tests, or experiment with variations.

Analyze A/B test results with statistics. TRIGGERS - Use when user needs help with ab-test-analysis related tasks.

Analyze protein-protein interaction enrichment using STRING database

'Protein Structure Quality Assessment - Assess structure quality: basic

'Protein Complex Visualization & Analysis - Analyze protein complex:

Computational Analysis via Code Execution - Execute custom computational

'AlphaFold Structure Analysis Pipeline - AlphaFold pipeline: download

'Statistical Error Analysis - Analyze measurement errors: absolute error,

'Signal Processing Analysis - Analyze signals: duty cycle, frequency

'Nuclear Physics Calculations - Nuclear physics: energy conversion MeV

'Charge Carrier Mobility Analysis - Analyze carrier mobility: calculate

Analyze measurement errors, uncertainties, and statistical variations

'Length & Dimension Measurement - Precision length measurement: convert

'Experimental Data Processing - Process experimental data: absolute error,

'Energy Unit Conversion Pipeline - Convert between energy units and analyze:

'Electrical Circuit Analysis - Analyze electrical circuit: compute capacitance,

Query EBI GWAS Catalog for GWAS statistical associations (p-value, effect

Retrieve gene expression data from TCGA (The Cancer Genome Atlas) to

Meta-skill for publication-ready figures. Use when creating journal submission

Comprehensive guide for Manim Community - Python framework for creating