Data Types and Structures

Data Types

Qualitative data: A subjective and explanatory measure of a quality or characteristic.

Quantitative data: A specific and objective measure, such as a number, quantity, or range.

Continuous data: Data that is measured and can have almost any numeric value.

Discrete data: Data that is counted and has a limited number of values.

Boolean data: A data type with only two possible values, usually true or false.

Nominal data: A type of qualitative data that is categorized without a set order.

Ordinal data: Qualitative data with a set order or scale.

Structural data: Data organized in a certain format such as rows and columns.

Unstructured data: Data that is not organized in any easily identifiable manner.

Data Structure

Schema: A way of describing how something, such as data, is organized.

Naming conventions: Consistent guidelines that describe the content, creation data, and version of a file in its name.

Audio file: Digitized audio storage usually in an MP3, AAC, or other compressed format.

Cookie: A small file stored on a computer that contains information about its users.

CSV (comma-separated values) file: A delimited text file that uses a comma to separate values.

Digital photo: An electronic or computer-based image usually in BMP or JPG format.

Video file: A collection of images, audio files, and other data usually encoded in a compressed format such as MP4, MV4, MOV, AVI, or FLV.

Geolocation: The geographical location of a person or device by means of digital information.

Pixel: In digital imaging, a small are a of illumination on a display screen that, when combined with other adjacent areas, forms a digital image.

Social media: Websites and applications through which users create and share content or participate in social networking.

String data type: A sequence of characters and punctuation that contains textual information (also called a text data type_