DataSet Type

Introduction to DataSet Type

DataSet is normally known as Collection of Data. It is a set or collection of data, which is basically over a tabular pattern. It can be termed as a collection of data where the dataset corresponds to one or more database tables and the row corresponds to data in the set. It is a part of data management where we can organize the data based on various types and classifications.

Each dataset has some value in the set that is known are Datum, and the data can have a category over which the Type of data can be classified, Based on the type of data we encounter we have different dataset types that can be used to classify and deal with the data then. This dataset type is an important and integral part of data modelling as the classification helps to makes the data organize and in an ordered collection. In this article, we will try to analyze the various ways of using the dataset Type and its features.

Let us try to see about DATASET TYPE in more detail.

Different Dataset Types and Examples

A dataset is an organized collection of data, the data can be multiple and can have various categories over there based on that a dataset can be divided into Multiple Types, let us see some of the common dataset Type:-

1. Categorical DataSet

This dataset represents various categories of a person, the type of data contains the data that can be divided into certain categories that can have certain values, the one with exactly two values are called:- Dichotomous and the one with more than that is known as Polytomous Variable.
The Examples contains The Gender either Male or Female, or different categories like vegetarian/non-vegetarian or Marital Status ( Single/Married)

2. Multivariate DataSet

This type of dataset contains multiple Variables with them, they can contain three or more than three types of variables, these datasets are majorly used for measurement parameters calling out the measurement value taking multiple Variables with them for that measurement.
Example: – A date that is taken as the Area of a cone taking the length, breadth and height are termed relatively as the Multivariate dataset.

3. Correlation Dataset

These are the type of datasets which have some relation with each other, that basically keeps a dependency of the values of that dataset over each other, these relationships with the data define the type of Correlation that data is making this can be Positive, Negative, or Zero.

The Positive correlation starts with the thing when the two variable moves in the same direction.

The Negative correlation when they move in the opposite direction

The Zero when there is no such movement or there is no relationship with the variable.

Example

For example, knowing the year of birth can correlate to the age of a person so this comes under the category of Correlation dataset.

4. Numerical Dataset

These are the type of datasets where the data is measured in numbers, that is also called a Quantitative dataset. There are the Number data where can see perform certain operations also with regards to that data needed.

Example:

The Height of a person can be measured over a numerical dataset as in cm, m.

The Age can calculate in numbers comes under Numerical Dataset.

The count of things can be categorized as Numerical Dataset.

5. Bivariate Dataset

A dataset having the two Variables having a relationship between them can be termed as Bivariate Dataset.

Example

A percentage can be calculated by the marks of students that can be termed as Bivariate Dataset also the Rank can be calculated over the percentage falling the dataset in the same category.

6. File Based Dataset

A Dataset which is completely stored in a file format as categorized under this Type. This can be a type of file that majorly stores the type of data it will contain.

Example

A .ppk file will have the dataset category containing the ppk file for details over the connection. Or a dll, or .exe will be categorized as ad File used for running and executing a software model.

7. DataBase DataSet

This type of dataset is stored within a database. The data is organized into tables and the dataset is stored there.

Example

The Databases has tables and the dataset can be stored in that database.

8. Web DataSet

This type of dataset is a collection of data stored from an Internet Site, it contains Web Data that is stored.

Example:

WFS Web Feature Service is an Example that stores the dataset and its type.

Feature Dataset Type

A Feature dataset features a dataset of a feature class sharing a common coordinate system. They are used to facilitate the creation of the controller dataset.
Controller datasets such as Topology, Terrain, Network, Trace are created and a feature class is added to that the feature dataset. A spatial reference is defined that contains the coordinate system.

The feature classes in these datasets share this common coordinate system.

They basically are used to integrate the related future classes spatially, for building a topology, or network dataset.

Conclusion

This article covered the concept and working of DataSet Type. From this article, we tried to understand different dataset type and their working. From various examples, we tried to understand the dataset Example and its working.

The article covered the based model about the Dataset type and various features and classification related to that. The article tried to give a clear picture about the various Type and models of a dataset also the Examples tried to explain a lot about the same.

Recommended Articles

This is a guide to DataSet Type. Here we discuss the Introduction and Different Dataset Types and Examples for better understanding. You may also have a look at the following articles to learn more –

1. Machine Learning Datasets
2. Spark Dataset
3. MongoDB Migration
4. Flask get post data