Data Analytics
The Knowledge provided the umbrella including data analysis, mining, technology and many other similar courses. Often the reasons for the high level of knowledge of research and diversity of sources are expected to take a number of important steps in the knowledge of the future of the number.
The quantitative and qualitative data analysis refers to the codes and processes that are not productive and productive. Provide information and analyze the data in different behaviors according to the maintenance process. Analysis of data and data analysis is known.
This is primarily a concern for the loading of analytical analysis (B2C). Think of it as global dating associations, business programs, economic or commercial experience for a campaign and they are praised. Distributed data, stored and analyzed, shows that the study is a popular business model.
For example, collect information with the online preferences of users, color business = community and some criteria, such as textbooks, years or sex. But the function of the analysis of the human network shows in the main position and often helps traders to fall under the shirt content and the overall layout attack.
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Types of data analytics
Required data
Some data analyzes are required to log in or the required requirements of customers that lead to an analysis (analysis of which products are used before the end). The general account that is collected by transporting the requested data unit (for example, a person or a resident). It can be derived from a few and exactly resident variables (eg Age and income). The data can be numeric or categorical (eg patch number)
Collection data
The data from different sources are collected. The disposition of the behavior can communicate with researchers and managers in Africa and during the meetings. To extract data from a sensor graduated cameras Satellite memory device etc. Even dialogues, downloads from online sources or readers.
Data processing
But provided in the process of the first analysis. An example may be adding data to rows and columns and a table type (ie modified data) for further analysis, such as software matching or a spreadsheet.
Product data
A product information is a software that generates scenarios for mounting and ultimately in the classroom. However, it can be done as a model or algorithm. An example of history is that experts and analysts offer the sales of the other investors and the guide of the knowledge of what he has bought.
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