What is the purpose of exploring data? a.
To generate labels for your data.

b.
To gain a better understanding of your data.

c.
To gather your data into one repository.

d.
To digitize your data.​

b. To gain a better understanding of your data.

Explanation:

A database management system (DBMS) can be defined as a collection of software applications that typically enables computer users to create, store, modify, retrieve and manage data or informations in a database. Generally, it allows computer users to efficiently retrieve and manage their data with an appropriate level of security.

A data dictionary can be defined as a centralized collection of information on a specific data such as attributes, names, fields and definitions that are being used in a computer database system.

In a data dictionary, data elements are combined into records, which are meaningful combinations of data elements that are included in data flows or retained in data stores.

This ultimately implies that, a data dictionary found in a computer database system typically contains the records about all the data elements (objects) such as data relationships with other elements, ownership, type, size, primary keys etc. This records are stored and communicated to other data when required or needed.

Data exploration (mining) can be defined as a process which typically involves extracting and analyzing data contained in large databases through the use of specialized software to generate new information.

The main purpose of data exploration is to gain a better understanding of your data and get to insights faster. Thus, data exploration helps to cut down a large data set into a manageable size through the use of statistical or data visualization tools, thereby, gaining a better understanding of the nature of the data.

b. To gain a better understanding of your data.

Explanation:

explore and visualize data to uncover insights from the start or identify areas or patterns to dig into more.