Answer:
B. Which customer most frequently purchases bread.
Explanation:
As per the scenario, the data we are receiving from the sales record of the bakery is :
The date on which the items are sold
Each items name which are sold
The number of each item sold and
The price of each item sold
These data are required to estimate how much the company has earned the profit during a given period of time.
So from the above scenario, there is no data given about the customer i.e customer name, customer number, etc. So there is no chance to track the details of a customer purchase history.
Therefore, the most appropriate answer is option B
Answer:
There are two ways to find the average of a list of numbers in Python. You can divide the sum() by the len() of a list of numbers to find the average. Or, you can find the average of a list using the Python mean() function
Explanation:
Answer:
ALTER TABLE Products
ADD Products_price float(5,2) DEFAULT 9.99,
ADD Adding_time datetime;
Explanation:
So at first we need to use ALTER TABLE statement, when we use this statement we also need to provide the table name. In this case, i assume it is 'Products'.
Then, as per question, we need to add two columns.
The first one is 'product_price' and it contains decimal points. So, we need to use ADD statement and give a column name like 'Prodcuts_price' and its datatype 'float' because it contains decimal or floating points. so, for 3 digits on the left and 2 digits on the right, it makes a total of 5 digits. So, we need to declare it like this. (5,2) it means a total of 5 digits and 2 after the decimal point. after that, we need to set our Default value using the DEFALUT statement. so DEFAULT 9.99. it will set the default value to 9.99 for existing products.
And for our next column, we give its a name like 'Adding_time' then it's datatype 'datetime' because it will contain date and times.
Answer:
Explanation:
Find the both server and client files attached below.
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Answer:
All options are correct.
Explanation:
All options apply to the question because they all need technology for development and improvement. Scientists needed to develop more technologies in order to attend all their necessities, such as anticipating weather changes, forecasting weather previously, predicting weather behaviour in different places and in one specific place, accounting for reasons and natural resources related to weather changes, and much more. Therefore, technology provides faster and more consistent data for all these informations needed, since all technology tools to study weather were developed according to their specific needs.
