**Data Types-**

Nominal;

-Latin word *nomen*– pertaining to names

it consists of names categories

inherently un-ordered, e.g dairy & fruit do not have higher greater mathematical value than each other.

It can be counted, but you can’t take the average of nominal data.

When there is only 2 categories available, it is referred to as dichotomas , so either yes or no answer.

Ordinal;

Order

Numbers are assigned to make the data analysis easier.

Assignments of numbers are orbitry.

You can count it & use it calculate percentages.

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Interval:

It is numeric

0 doesn’t = the absence of anything, e.g 00am doesn’t mean there is not time.

Difference between 11:00 – 11:30

Ratio:

It is numeric, it has meaning full data

0 = absence of product

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**Reflection:**

Using the correct data type is very important for designers, to collect & communicate data in the most effective manner. Ordinal – consecutive numbers are used to represent different categories. Qualitative data is descriptive information, whereas quantitative data is numerical information.

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### REFERENCES:

Week 2 Lecture Pod. (2018). Retrieved from https://vimeo.com/176274669

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