code: def superstore(count=100):
      data = []
      for id in range(count):
          dat = {}
          dat["Row ID"] = id
          dat["Order ID"] = "{}-{}".format(fake.ein(), fake.zipcode())
          dat["Order Date"] = fake.date_this_year()
          dat["Ship Date"] = fake.date_between_dates(
              dat["Order Date"]
          ).strftime("%Y-%m-%d")
          dat["Order Date"] = dat["Order Date"].strftime("%Y-%m-%d")
          dat["Ship Mode"] = choice(
              ["First Class", "Standard Class", "Second Class"]
          )
          dat["Ship Mode"] = choice(
              ["First Class", "Standard Class", "Second Class"]
          )
          dat["Customer ID"] = fake.zipcode()
          dat["Segment"] = choice(["A", "B", "C", "D"])
          dat["Country"] = "US"
          dat["City"] = fake.city()
          dat["State"] = fake.state()
          dat["Postal Code"] = fake.zipcode()
          dat["Region"] = choice(["Region %d" % i for i in range(5)])
          dat["Product ID"] = fake.bban()
          sector = choice(["Industrials", "Technology", "Financials"])
          industry = choice(["A", "B", "C"])
          dat["Category"] = sector
          dat["Sub-Category"] = industry
          dat["Sales"] = randint(1, 100) * 100
          dat["Quantity"] = randint(1, 100) * 10
          dat["Discount"] = round(random() * 100, 2)
          dat["Profit"] = round(random() * 1000, 2)
          data.append(dat)
      return pd.DataFrame(data)
  
imports: from datetime import datetime
  import numpy
  import pandas
  import pyarrow
  from pytest import fixture
  from random import random, randint, choice
  from faker import Faker
label_desc: Use image node_id 6 for calling a global function with example usage: superstore(count) and returns: pd