time-series-decomposer
Time Series Decomposer
Extract trend, seasonal, and residual components from time series data with visualization and basic forecasting.
Features
- Decomposition: Additive and multiplicative models
- Trend Extraction: Moving averages, polynomial fitting
- Seasonality Detection: Auto-detect and extract periodic patterns
- Residual Analysis: Identify anomalies in residuals
- Visualization: Component plots, ACF/PACF
- Basic Forecasting: Trend extrapolation, seasonal naive
Quick Start
from ts_decomposer import TimeSeriesDecomposer
More from dkyazzentwatwa/chatgpt-skills
ocr-document-processor
Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.
4.0Kcrypto-ta-analyzer
Run multi-indicator technical analysis on crypto or market OHLCV data. Use for deterministic trend, momentum, volume, and divergence analysis.
1.4Ktext-summarizer
Generate extractive summaries from long text documents. Control summary length, extract key sentences, and process multiple documents.
699financial-calculator
Run loan, investment, NPV, retirement, savings, and risk calculations with schedules and charts. Use for deterministic financial modeling tasks.
369document-converter-suite
Convert PDFs, Office docs, markdown, HTML, and tables between editable formats. Use for best-effort document conversion, PDF utilities, form filling, and table extraction.
348roi-calculator
Calculate ROI for marketing campaigns, investments, and business decisions. Includes break-even analysis, payback period, and comparative ROI.
196