Analysis Of Data

Analysis Of Data-51
This includes structuring the data as required for the relevant Analysis Tools.For example, the data might have to be placed into rows and columns in a table within a Spreadsheet or Statistical Application. The processed and organized data may be incomplete, contain duplicates, or contain errors.

This includes structuring the data as required for the relevant Analysis Tools.For example, the data might have to be placed into rows and columns in a table within a Spreadsheet or Statistical Application. The processed and organized data may be incomplete, contain duplicates, or contain errors.What is the first thing that comes to mind when we see data?

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Data that is processed, organized and cleaned would be ready for the analysis.

Various data analysis techniques are available to understand, interpret, and derive conclusions based on the requirements.

Data is collected from various sources ranging from organizational databases to the information in web pages.

The data thus obtained, may not be structured and may contain irrelevant information.

Specific variables regarding a population (e.g., Age and Income) may be specified and obtained. Data Collection is the process of gathering information on targeted variables identified as data requirements.

The emphasis is on ensuring accurate and honest collection of data.

Data Cleaning is the process of preventing and correcting these errors.

There are several types of Data Cleaning that depend on the type of data.

Hence, the collected data is required to be subjected to Data Processing and Data Cleaning.

The data that is collected must be processed or organized for analysis.

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