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Is phone number a qualitative data or quantitative data?
The two basic divisions of data are qualitative or categorical data and quantitative or numeric data. Just because you have a number, doesn't necessarily make it quantitative. For example, zip codes, phone numbers and bank-accounts are numeric, but it doesn't make much sense to find the average phone number or median zip-code. These are examples of numbers applied to categorical data.
How do you use a histogram in 6th grade math?
After you have your data, when you record it into the histogram, you make a graph just like a bar graph, only, this time the bars are touching! Does that make sense? Please tell me if i'm wrong!:)
Normalization is a complex process but it is a factor for successful database design. Justify this statement?
Normalization is the process of efficiently organizing data in a database. There are two goals of the normalization process: eliminating redundant data (for example, storing the same data in more than one table) and ensuring data dependencies make sense (only storing related data in a table). Both of these are worthy goals as they reduce the amount of space a database consumes and ensure that data is logically stored.
How do you make a data table?
To make a data table you must make a chart with how ever many columns you are going to need and then fill out your information.
Disadvantage of data table?
It takes really long to make and to record the data.
