Everything You Need to Know About Classification of Data

1. STAT ANALYTICA EVERYTHING YOU NEED TO KNOW ABOUT CLASSIFICATION OF DATA Preseted By: Statanalytica Team

2. PRESENTATION FLOW KEY CONCEPTS COVERED Introduction of Classification of data Objectives of Data Classification Why do you need classification of data? Steps for Effective data classification Types of Classification Conclusion

3. Classification of data is an essential aspect of statistics. It is the way to organize the data in an efficient way. That is quite useful to perform the statistics operation on the data without any hassle. Most of the students may not be aware of the classification of data. But as statistics experts, we have to help the students to clear all their doubts. Here in this presentation we will share with you the best guide on the classification of data. Let’s begin with the introduction:- OVERVIEW

4. INTRODUCTION OF CLASSIFICATION OF DATA Data classification is defined as the way to organize the data by relevant categories. Therefore it makes the data quite easy to use for the data analyst. The data classification is used for legal discovery, risk management, and compliance. There can be different guidelines for data classifications vary from organization to organization. Apart from that, the data can also be protected more efficiently. Besides, when you do the proper data classification, then you can quickly locate and retrieve the data. Tagging data is also available in it to make it easily searchable and trackable. It also reduces the risk of duplication of data. Therefore the data storage also decreases, and it can be cheap to backup the data. Besides, whenever you want to perform any operation on the data, then the process will also be done at a rapid pace. In some cases, it is is quite tricky and technical.

5. Objectives of Data Classification The major motive of data classification to arrange the high volume of data in a way that the similarities and differences can be understood without any hassle. For pointing out the important characteristics of the data. For comparison aid. For pointing out the important characteristics of the data. You can also perform the statistical method on the collected material data. It is used to give importance to the prominent data collected and used to separate the other optional elements from that data. It is used to highlight the similarity in data. We use it for distinctiveness in data with the help of groping the data into different classes and classifications. It is useful for the scientific arrangement of data that makes the data more reliable. It is useful for data more precise and reduce redundancy. With it you can make changes in data more effectively and without any hassle.

6. STEPS FOR EFFECTIVE DATA CLASSIFICATION SCAN It is the initial step and involves the process where we analyze the entire database. In this process, we analyze every single database to get the raw data. IDENTIFY In this step, we identify the types of data that we need to insert in different categories. E.g, we can put the age and gender data into the demographic category. SEPARATE In this step, we separate the data which is no longer required to perform. For example, in the demographic category, we also put the weight measurement data, which is no longer useful for our data operations.  CREATING A DATA CLASSIFICATION POLICY This is the step to generate the data classification policy. Every organization has its own data classification policy. So be careful while creating the data classification policy because it will affect the business in the long run. PRIORITIZE AND ORGANIZE DATA Last but not the least step. It is time to implement the data classification policy on your data. You have to prioritize the sensitive information to sort first rather than the insensitive one.

7. (1) ONE -WAY CLASSIFICATION (2) TWO -WAY CLASSIFICATION (3) MULTI-WAY CLASSIFICATION TYPES OF CLASSIFICATION When we are going to classify data based on the single characteristics, then this type of classification is known as one-way classification. For example, The students of the school may be classified by gender as girls or boys. In this classification we do the classification based on two characteristics at a single time. For example: The students of the school may be classified by gender and age. In this we classified the data on the basis of multiple characteristics at a single time on the given dataset. For example:- The students of the school may be classified by gender, age, height, weight, etc. THERE ARE THREE TYPES OF DATA CLASSIFICATIONS.

8. CONFIDENTIALITY THE INTEGRITY OF DATA AVAILABILITY OF DATA WHY DO YOU NEED CLASSIFICATION OF DATA? With data classification, you can develop a system where you can allow the users to access only the limited data. It can only happen with the proper classification of the data. In this way, the most sensitive information with a limited number of users. It allows you to get the integrity of data. In other words, the data is integrated with the other organized data, and the users require permission to access the data. It happened in a well-organized manner. In this, the data can be available to a large number of audience with proper security and ease of access. There is no need to search for particular data to perform any statistics methods. Data classification is exciting from the ancient era. But it is improving time over time. As we know that nowadays, technology is everywhere. And all these technologies are used to store the data. Therefore these technologies require it for easy access, maintaining regular compliance. Apart from that, the data analysts are using it regularly. They used it to search and retrieve the data. The best part of data classification is data security. 

9. GEOGRAPHICAL CLASSIFICATION QUALITATIVE CLASSIFICATION COMMODITY INFLATION/DEFLATION QUANTITATIVE CLASSIFICATION In this, we classify the data according to different locations. The location can be a city, state, country, or even continent. E.g. classification of the data of the income of the professionals in various cities of new York. As the name suggests in this classification we do classified the data according to the qualities of data. As we know that qualitative data is far different than quantitative data. We can not measure the qualitative data with the help of numbers such as 3, 20, 40, etc. In this, we classified the data based on time. That’s why this classification is known as chronological classification. e.g., the classification of the data about the number of deaths from COVID 19 in the US in the last month. Quantitative classification can be done with the help of numerical values. In this, we can divide the data into different groups with numerical values. Besides, we range each group with the higher and the lower value. Basis of Classification

10. CONCLUSION Now it may be clear in your mind what is the classification of data, how it works, and the importance of it. Next time whenever you are going to do it. Then you may be quite confident to use it. If it is still overwhelming for you to understand the classification of data. Then you can take the help from your statistics homework helper.

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