Differentiate between structured and unstructured data giving one example.

The principal of a school wants to do following analysis on the basis of food items procured and sold in the canteen:

1. Compare the purchase and sale price of fruit juice and biscuits.
2. Compare sales of fruit juice, biscuits and samosa.
3. Variation in sale price of fruit juices of different companies for same quantity (in ml).

Create an appropriate dataset for these items (fruit juice, biscuits, samosa) by listing their purchase price and sale price. Apply basic statistical techniques to make the comparisons.

Sample Dataset for Fruit Juice, Biscuits and Samosa

1. For Fruit Juice:
   Mean Purchase Price = (35 + 30) / 2 = 32.5
   Mean Sale Price = (40 + 45) / 2 = 42.5
   Difference = Mean Sale Price - Mean Purchase Price = 42.5 - 32.5 = 10
   The mean purchase price of fruit juice is 10 rupees less than the mean sales price of fruit juice.
   For Biscuits:
   Mean Purchase Price = (6 + 12 + 17) / 3 = 11.67
   Mean Sale Price = (10 + 15 + 20) / 3 = 15
   Difference = Mean Sale Price - Mean Purchase Price = 15 - 11.67 = 3.33
   The mean purchase price of biscuits is 3.33 rupees less than the mean sales price of biscuits.

2. For Fruit Juice:
   Total units sold = 10 (Real) + 15 (Tropicana) = 25 units
   For Biscuits:
   Total units sold = 30 (Parle) + 20 (Britannia) + 15 (Sunfeast) = 65 units
   For Samosas:
   Total units sold = 20 (Samosa Party) + 25 (Chaayos) + 15 (Chai Point) = 60 units
   Comparing the total units sold:
   Biscuits had the highest sales with 65 units sold.
   Samosas had the second-highest sales with 60 units sold.
   Fruit juice had the lowest sales with 25 units sold.

3. Sale price of Real Fruit Juice (250 ml): 40
   Sale price of Tropicana Fruit Juice (250 ml): 45
   Difference = Sale price of Tropicana - Sale price of Real
   Difference = 45 - 40 = 5
   The sale price of Tropicana fruit juice is 5 rupees higher than the sale price of Real fruit juice for the same quantity (250 ml).