Introduction to Data Analysis

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A set of flashcards covering key concepts from the Introduction to Data Analysis lecture, focusing on data forms, databases, DBMS, and data types.

Last updated 3:00 PM on 3/14/26
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14 Terms

1
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What can data be considered as?

The smallest units of factual information that can be used as a basis for calculation, reasoning, or discussion.

2
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What are the two primary forms of gathered data?

Structured and Unstructured data.

3
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What is structured data?

Data that is well-organized and accurately formatted, typically found in relational databases.

4
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What is unstructured data?

Data that doesn’t have any pre-defined structure, including images, text files, and multimedia.

5
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What are some examples of data types?

Text, Numbers, Boolean, and Datetime.

6
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What is a Database?

An organized collection of structured information or data, typically stored electronically.

7
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What function does a Database Management System (DBMS) serve?

It interacts with the database, applications, and users to capture and analyze data.

8
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What are the two main types of DBMS mentioned?

Relational DBMS and NoSQL DBMS.

9
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Why is using a DBMS important?

It ensures data integrity, security, control, and efficient query processing.

10
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What is database design?

The structure a database uses to plan, store, and manage data.

11
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How do databases compare to file systems?

Databases consist of logically related data stored in a single repository, eliminating inconsistencies and providing structured access.

12
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What are the different types of databases mentioned?

Single-user vs. Multiuser, Centralized vs. Distributed.

13
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What are the main functions of a DBMS?

Data dictionary management, data storage management, security management, and data integrity management.

14
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What are the three types of relationships in Conceptual Models?

One-to-one (1:1), One-to-many (1:M), Many-to-many (M:N).

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