8000 fake business transactional data · Issue #52 · ropensci/charlatan · GitHub
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sckott opened this issue Jul 22, 2017 · 3 comments
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fake business transactional data #52

sckott opened this issue Jul 22, 2017 · 3 comments 8000
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feature
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v0.6

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@sckott
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sckott commented Jul 22, 2017

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 sckott mentioned this issue Jul 22, 2017
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@iembry-USGS
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@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
  1. Shoes
    Dress shoes
    Tennis shoes
    Boots
    Hiking boots
    Country & Western style boots
  2. Jeans
    Regular fit
    Straight fit
  3. Dresses
    Summer dress
    Evening gown
  4. Socks
    Dress socks
  5. Belts
  • Types of Electronics
  1. Cellular phone
  2. Television
  3. Laptop Computer
  4. Modem
  5. Speakers
  6. DVD Drive
  7. Printer
  8. Microphone
  • Company Name - I have used the company name generator, but the names are generic and not specifically tied to an industry or specialization.

  1. Clothing
    Barbara's Women's Clothing & Shoes
    Clothing Smart
    Urban Trending Wear
    Steve's Men's Clothing & Shoes
    Big & Tall Clothing Outlet
    Everyday Clothiers

  2. Sports
    Soccer Enthusiast
    All Sports Outlet
    Sportmania
    US Footballers Place
    Basket Ballers

  3. Books
    The Bookery
    Book Outlet
    Science Fiction Bookstore

Thank you.

Irucka

@sckott
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sckott commented Jul 26, 2017

thanks @iembry-USGS

@iembry-USGS
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@sckott You're very welcome. Please let me know if you need anything else from me.

Irucka

@RMHogervorst RMHogervorst mentioned this issue Sep 26, 2022
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RMHogervorst added a commit that referenced this issue Oct 10, 2023
@RMHogervorst
Add new vignette creating realistic data
abe58ca 
Fix #52 Fix #61
@RMHogervorst RMHogervorst added this to the v0.6 milestone Oct 21, 2023
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