fake business transactional data
via #11 | @iembry-USGS
Thoughts/questions on your list of items:
- order ID, location ID, Product ID: what kinds of IDs ?
- Purchase Date: already handled, using this pkg, or easy to do yourself too
- Price Paid: these would just be random numbers > 0, yes?
- Product Type (Types of Clothing, Types of Electronics, etc.): can you give examples?
- Company Name - specific for industries (Clothing, Sports, Books, etc.): we do already have a company name generator, does it do what you need?
@sckott I have enclosed various examples below:
Examples of order ID
- 6831
- IK021C3
- 1IOQ
- 3490210421
Examples of location ID
- KY092
- LAR
- 78BY
Examples of Product ID [Stock Keeping Unit (SKU)]
- 59673
- 8928317183718374137483
- 34348491BLJN
- 893BLT
Price Paid US dollar transactions ranging from $0.01 to $999,999,999.99 (It would be ideal to have the transactions to make sense. For example, a car price of $0.10 would not make sense nor a basketball for $1,023.98.)
Examples of Product Type (Types of Clothing, Types of Electronics, etc.)
- Types of Clothing
- Shoes Dress shoes Tennis shoes Boots Hiking boots Country & Western style boots
- Jeans Regular fit Straight fit
- Dresses Summer dress Evening gown
- Socks Dress socks
- Belts
- Types of Electronics
- Cellular phone
- Television
- Laptop Computer
- Modem
- Speakers
- DVD Drive
- Printer
- Microphone
- Company Name - I have used the company name generator, but the names are generic and not specifically tied to an industry or specialization.
-
Clothing Barbara's Women's Clothing & Shoes Clothing Smart Urban Trending Wear Steve's Men's Clothing & Shoes Big & Tall Clothing Outlet Everyday Clothiers
-
Sports Soccer Enthusiast All Sports Outlet Sportmania US Footballers Place Basket Ballers
-
Books The Bookery Book Outlet Science Fiction Bookstore
Thank you.
Irucka
thanks @iembry-USGS
@sckott You're very welcome. Please let me know if you need anything else from me.
Irucka