Since the computer was invented, we used data for information and this information was stored. But we cannot say that it is the definition of data. Data can be numbers written for documents, it can be in the form of bytes or texts, or it can also be something about facts that have been stored in any human’s mind. Let’s go down and get all the theories of data.

DEFINITION OF DATA:

In the field of science, “data” is a different sort of information that is commonly formatted in a specific manner. There are two major categories where we have divided all software, such as data and programs.

Programs are the collection that uses multiple data.

In the vast field of data, it has been distributed into some major parts, let’s have a look.

 . UNSTRUCTURED DATA:

After the superb growth in technology, especially if we talk about smartphones, it started a journey of texts, audios, and videos also, we can easily record the log activities. Mostly this type of data is unstructured.

. BIG DATA:

 Big data particularly uses in the term of data definition, it describes that it counts in the petabyte range.

This Big Data is also telling us as 5Vs, which means it is describing Velocity, Volume, Variety, Value, and Veracity.

Currently, The eCommerce web-based has grown widely, and the business models that stand on Big Data have developed, they tackle data and grow it on their own. Big Data is serving lots of the advantages such as growing more sales, making costs low, and increasing efficiency.

. ORDINAL DATA:

These values have constructed with natural ordering while creating their values of class. If we think about the size of any of the clothing related to the brand, then we can grab easily according to the tag names like small, semi-small, medium, and large or excel means as per our needs. We can also consider this data type for the marking of candidates like A + and more.

 . QUANTITATIVE DATA:

This type of data shows the number of things and it consists of numeric values that are countable. RAM of phone, price of android or smartphones, frequency processor, offers that show discounts, rating on the products, all have connected with the category of this quantitative data.

This can also be possible that the numerical values can be infinite for a feature. For more explanation, the cost of any smartphone can be different from the other one and it could be based on broken down fractional values so we have categorized it into two more parts and those are:

. DISCRETE DATA:

This category shows the numerical values that take place under the integers. The common examples of this category are the total number of Sims, the total number of speakers in the phone, and camera cores.

. CONTINOUS DATA:

The fractional numbers have continuous values as we considered. These all can form an operation of frequency for the processors. Generally, examples are Wi-Fi, android phones, cores temperature, and more.