# What Is Data And Its Types Pdf

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- Fundamental Data Types, Declarations, Definitions and Expressions
- Qualitative Data – Definition, Types, Analysis and Examples
- Data Types in Statistics
- types of data processing pdf

## Fundamental Data Types, Declarations, Definitions and Expressions

These kinds of programs are primarily written to steal or destroy computer data. Overview of Types of Cyber Security. Different Types of Computer System Security Threat There are many different types of security threats to computer systems as follows: Make sure your computer, devices and applications apps are current and up to date! Symantec, a maker of security software, reported in that new malware released each year may outnumber new legitimate software. In this website I have been talking extensively about the Cisco ASA firewall which is a classic example of a hardware network firewall. T and Computer Networks Explained The firewall is the cornerstone of security in computer networks and I.

## Qualitative Data – Definition, Types, Analysis and Examples

Home Consumer Insights Market Research. Quantitative data is defined as the value of data in the form of counts or numbers where each data-set has an unique numerical value associated with it. This data is any quantifiable information that can be used for mathematical calculations and statistical analysis, such that real-life decisions can be made based on these mathematical derivations. This data can be verified and can also be conveniently evaluated using mathematical techniques. There are values associated with most measuring parameters such as pounds or kilograms for weight, dollars for cost etc. Quantitative data makes measuring various parameters controllable due to the ease of mathematical derivations they come with. Quantitative data is usually collected for statistical analysis using surveys , polls or questionnaires sent across to a specific section of a population.

## Data Types in Statistics

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis. A simple example of Data analysis is whenever we take any decision in our day-to-day life is by thinking about what happened last time or what will happen by choosing that particular decision.

### types of data processing pdf

Students need know that data that they collect can be one of several types. The first distinction is between:. Category - without order Nominal data : This is data with no order between the different categories. Category data - ordered Ordinal data : Thisis when the categories can be put into order.

Before we go to introduction to Big Data, you first need to know What is Data? The quantities, characters, or symbols on which operations are performed by a computer, which may be stored and transmitted in the form of electrical signals and recorded on magnetic, optical, or mechanical recording media. Big Data is a collection of data that is huge in volume, yet growing exponentially with time. Big data is also a data but with huge size. In this tutorial, you will learn, What is Data? What is Big Data? This data is mainly generated in terms of photo and video uploads, message exchanges, putting comments etc.

Data are characteristics or information , usually numeric, that are collected through observation. Although the terms "data" and "information" are often used interchangeably, these terms have distinct meanings. In some popular publications, data are sometimes said to be transformed into information when they are viewed in context or in post-analysis. Data are used in scientific research , businesses management e. Data are measured , collected and reported , and analyzed , whereupon it can be visualized using graphs, images or other analysis tools.

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Orovreclamanaged and analysed. ▫ Simply put, there are two main types of data, qualitative data and quantitative data in its classification. • For example, if we wanted.