Data Types, Data Quality, & Processing Quiz

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Questions and Answers

What is a dataset?

A collection of data types

A collection of mathematical functions

A collection of programming languages

A collection of data objects (correct)

What are the other names for data objects?

Records (correct)

Constants

Functions

Variables

Which term describes ordered data such as sequential, temporal, and spatial data?

Variable data

Graph-based data

Record data (correct)

Measurement data

What are the general characteristics of data sets?

Missing values and inconsistent values Signup and view all the answers

What type of attributes are qualitative and quantitative?

Qualitative and quantitative attributes Signup and view all the answers

Which term refers to the description of data objects by a number of attributes?

Data objects Signup and view all the answers

What are other names for attributes in a data set?

Variables, Characteristics, Fields, Features, Dimensions Signup and view all the answers

In a data set, what do the objects typically represent?

Records Signup and view all the answers

What does each field (or column) correspond to in a data set?

An attribute Signup and view all the answers

What type of data set would be represented by a numerical matrix or crosstabs?

Relational records Signup and view all the answers

What type of data set would be represented by text documents with term-frequency vectors?

Document data Signup and view all the answers

What type of data set would be represented by transaction sequences?

Sequential Data Signup and view all the answers

What type of data set would represent spatial data like maps?

Spatial and multimedia Signup and view all the answers

What does each TID (Transaction ID) item in a data set usually represent?

$A$ sequence of items Signup and view all the answers

In a data set, what do the fields of a record correspond to?

Attributes Signup and view all the answers

What would represent image data in a data set?

Spatial and multimedia Signup and view all the answers

Study Notes

What is a Dataset?

A dataset is a collection of data, which can be referred to as a data object.

Alternative Names for Data Objects

Data objects can also be referred to as cases, samples, observations, or records.

Ordered Data

Sequential, temporal, and spatial data are categorized as ordered data.

Characteristics of Data Sets

Data sets typically consist of a collection of objects or cases, with each object described by a set of attributes or variables.
Each object or case represents a single entity or observation.
The attributes or variables describe the characteristics of each object or case.

Types of Attributes

Qualitative attributes are descriptive and categorical, while quantitative attributes are numerical and measurable.

Description of Data Objects

The description of data objects by a number of attributes is referred to as a multivariate description.

Alternative Names for Attributes

Attributes can also be referred to as variables, features, or fields.

Objects in a Data Set

In a data set, each object typically represents a single entity or observation.

Fields or Columns in a Data Set

Each field or column in a data set corresponds to a single attribute or variable.

Types of Data Sets

Numerical data sets can be represented by a numerical matrix or crosstabs.
Text data sets can be represented by text documents with term-frequency vectors.
Sequential data sets can be represented by transaction sequences.
Spatial data sets can be represented by spatial data like maps.

Transaction ID (TID)

Each TID (Transaction ID) item in a data set usually represents a single transaction or event.

Fields of a Record

The fields of a record in a data set correspond to the attributes or variables that describe the object or case.

Image Data

Image data in a data set would be represented by a set of numerical or categorical attributes that describe the characteristics of the images.

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Description

Test your knowledge on data types, data quality, and processing with this quiz based on the DM&W course at May Al-Nashashibi University of Petra, Amman, Jordan. Topics include introduction to data mining, machine learning, measures of similarities, data exploration, data warehousing representation, predictive modeling, classification, performance measures, and alternative techniques.