Data Types, Data Quality, & Processing Quiz

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.