ds 3.1 data and data analysis

data

collection of raw and unorganized facts and figures, which may be in the form of numbers, letters, characters or images.

Information

The output after data has been processed, organized, or structured to convert it into something that is more reliable, easier to measure, and ready to be visualized or analyzed .

Knowledge

when more meaning can be derived from information, which is then applied to achieve a set goal.

Wisdom

when knowledge can be applied in action.

quantitative data

data represented numerically

qualitative data

data representing information and concepts that are not represented by numbers

fianancial data

consists of information that is related to the finances of a business, such as cash flow statements, balance sheets, and profit and loss accounts.

medical data

collected, analysed and stored during the ongoing care of a patient.

Metereological data

collect data about the weather and climate

geographical data

also known as geospatial data, refers to data related to the positioning of an object in a geographic space.

Scientific data

the research carried out by scientists that has been published in peer-reviewed journals.

Metadata

A set of data that describes and gives information about other data.

Data mining

The process of finding patterns and correlations, as well as anomalies, within large sets of data.

Data matching

The process of comparing two different sets of data with the aim of finding data about the same entity.

data life cycle

Data creation, Storage, Usage, Preservation, Destruction

Primary data

Original data collected for the first time for a specific purpose.

Secondary data

Data that has already been collected by someone else for a different purpose.

Relational database

A database that has more than one table

columns

field names

rows

records

entities

an object about which data is to be captured

attributes

used to describe or quantify an object or entity