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Data Science: type of Data

Data Science: type of Data

 
I work in bush of data. What is the type of data? The analysis should define type of data to adapt. I don't say about the primitive data(  string, char, integer, float, pointer) in the computer science. My job work with data object, I have to know about it's properties. My mission is classified data into packages that have the same type of data. The data is indicated to some types. My head is stuck in the question how I present clearly. Sinan Ozdemir show some way to understand the type of data. I take note and add my opinion.
1. Organized data vs Unorganized data:
 Organized data: the data has structure( tables, records, links,graphs...).
 Unorganized data: the data has no structure( free forms, text, random events...)
2. Quantitative vs Qualitative data:
 Quantitative data: the data can be measured by numbers
 Qualitative data: the data can not be measured by numbers, it can be described by languages or by characteristics.
3. The data type in analysis:
 
type of data
 Nominal: qualitative data, name of the object, no inherent order in categories.
 Ordinal: categories have inherent order( ordering, comparison)
 Binary: the data is described into 2 categories
 Interval: the data can be operated by addition or by subtraction.
 Ratio: the data can be operated by multiplication or by division.

The data is manipulated by the computer, type of data related to mathematical operation. The data in good selection will be a strong data input.
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  1. Nặc danhlúc 20:42 27 tháng 1, 2022

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