|
Dataset is a collection of data arranged in a structured manner. Typically, datasets are presented in the form of tables, alias rows and columns. Each row and column usually represents a certain variable. For example, suppose a column represents the total scores of students, while the rows represent the class of students. In other words, one function of the dataset is to pay attention to the relationship between variables . Especially if the amount of data and variables studied is quite varied. understand what a dataset is through data illustrations in google analytics At this stage you may still be curious. What is the difference between dataset and data and database? Let's see the answer in the next section! Also read: What is the Importance of Data and Information for Business? What is the difference between Dataset and Data and Database? Above, you already know that a dataset is a collection of data that is arranged in a structured manner.
Here's what it means: Data – Data is a piece of fact or information that displays a certain value. Examples include weight figures or the number of students. Database − The database is the place where a collection of data is stored. If the data is clothes, then the database is the Uk Phone Number List wardrobe. So, the difference between data, dataset, and database is clear, right? All three have different roles . Even so, what is the relationship between the three? It's as simple as this. Suppose you are collecting data on student scores using Excel . microsoft excel logo Every student grade that you enter into Excel is data . Then, the table you created in Excel is a dataset . While Excel is the database , because that's where you store, process, and manage the data. So, one database can contain many datasets, and one dataset can contain many data.
Also read: 13+ Types of Databases You Must Know What Are the Types of Datasets? After understanding the meaning and function of datasets, now you need to know the various types of datasets that are out there. Here are some of the most commonly used types of datasets, namely: Numerical datasets Correlation datasets Categorical dataset Bivariate datasets Multivariate datasets Let's discuss them one by one! 1. Numerical Datasets Numerical datasets are the simplest type of datasets. Because, the content is just data in the form of numbers. That is why this type of dataset is also often called quantitative data. For example, if you are collecting weight data from a group of people, you are creating a numerical dataset. Because the data you collect only contains numbers. 2. Correlation Datasets As the name implies, a correlation dataset is a type of dataset that contains data that is correlated, or connected to one another. For example, suppose you are collecting sales data at a store. Then, you find that as sales of toothbrushes increase, sales of toothpaste also increase.
|
|