td-movavg-forecast
OfficialSmooth predictions with moving average forecasting.
Data & Analytics#time series#data analysis#forecasting#teradata uaf#moving average#td_movavg_forecast
Authorteradata-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of generating smoothed predictions and forecasts for time series data using Teradata's advanced Unbounded Array Framework (UAF).
Core Features & Use Cases
- Moving Average Forecasting: Applies the TD_MOVAVG_FORECAST function for smoothed time series predictions.
- UAF Integration: Leverages Teradata's UAF for scalable and efficient array processing.
- Use Case: Forecast sales figures for thousands of products by analyzing historical sales data with high accuracy and performance.
Quick Start
Analyze my time series table named 'sales_data' in the 'my_db' database, using 'sale_date' as the timestamp column and 'quantity_sold' as the value column.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: td-movavg-forecast Download link: https://github.com/teradata-labs/claude-cookbooks/archive/main.zip#td-movavg-forecast Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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