time-series-analysis
CommunityForecast time-series trends and anomalies.
Data & Analytics#decomposition#forecasting#time-series#data-analysis#anomaly-detection#seasonality#business-planning
Authornimrodfisher
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Time-series analysis capabilities help users detect patterns, anomalies, and trend shifts in temporal data and produce forecasts with uncertainty estimates to inform planning.
Core Features & Use Cases
- Decompose time-series into trend, seasonal, and residual components
- Detect anomalies and assess forecast uncertainty
- Produce point forecasts and confidence intervals for short- to mid-term planning
- Use cases include demand forecasting, web analytics, inventory planning, and capacity management
Quick Start
Analyze temporal data to identify trends, seasonality, and anomalies, then create forecasts with confidence intervals for business planning.
Dependency Matrix
Required Modules
pandasnumpymatplotlibseabornstatsmodelsscikit-learn
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: time-series-analysis Download link: https://github.com/nimrodfisher/data-analytics-skills/archive/main.zip#time-series-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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