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A Statistical Support package

Project description


A package to include statistical supports.

Quick start

$ python3 -m pip install -U GusPI


The scrape package provides an easy way to scrape Yelp business info and Yelp reviews for specific business.

from GusPI import scraper

YelpBizInfo The function collects business info and save it into a csv file.


#declare a list:`artisan-ramen-milwaukee`
CUISINES = ['artisan-ramen-milwaukee','red-light-ramen-milwaukee-5']

#scrape the business info

YelpReview The function collects reviews for respective business and save them into separate files by business names.


#declare a list:`artisan-ramen-milwaukee`
CUISINES = ['artisan-ramen-milwaukee','red-light-ramen-milwaukee-5']

#scrape the business info


This package provides several analytical formulas to support supply chain analytics.

Economic order quantity EOQ(demand, mean, STD, C, Ce, Cs, Ct)

Perfect Order Measurement POM(TotalOrders, ErrorOrders)

Fill Rate FR(TotalItems, ShippedItems)

Inventory Days of Supply IDS(InventoryOnHand,AvgDailyUsage)

Freight cost per unit FCU(TotalFreightCost,NumberOfItems)

Inventory Turnover IT(COGS,AvgInventory)

Days of Supply (DOS) DOS(AvgInventory,MonthlyDemand)

Gross Margin Return on Investment (GMROI) GMROI(GrossProfit, OpeningStock, ClosingStock)

Inventory Accuracy IA(ItemCounts, TotalItemCounts)

Storage Utilization Rate SUR(InventoryCube, TotalWarehouseCube)

Total Order Cycle Time TOCT(TimeOrderReceivedbyCustomer, TimeOrderPlaced,TotalNumberofOrdersShipped)

Internal Order Cycle Time IOCT(TimeOrderShipped, TimeOrderReceived, NumberofOrdersShipped)

Project details

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