forecastability analysis
Project description
Forecastability Analysis
This is a tool to implement forecastability analysis, including calculating:
- Frequency
- Stability
- Periodicity
- Percent of Products that single customer occupies over 50% demands
Input Data
columname | type | note |
---|---|---|
date | string | yyyy-mm-dd or yyyy/mm/dd |
sku_code | string | code of SKU |
customer_code | string | code of customer |
qty | float | demand quantity |
Usage:
import forecastability
fa = forecastability.Forecastability(data, tm="date")
# calculate frequency
fa.frequency()
# calculate stability
fa.stability()
# calculate periodicity
fa.periodicity()
# calculate single customer percent
fa.single_customer_percent()
# render forecastability report
fa.render("forecastability_report.html")
Reference:
[1] 时间周期序列周期性挖掘
[3] Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.
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