UIIC AO Data Analysis Overview

Data that has some structure but not as strict as structured data, often using tags or key-value pairs. Examples include JSON and XML.

A popular text-based format for representing data as key-value pairs. It uses nested objects and arrays to organize information.

A markup language that uses tags to define data elements and their structure. It's often used for data exchange and document storage.

Data collected firsthand through surveys, experiments, or observations. It's typically more reliable and specific to the current research.

Data collected for a different purpose that is then used for current research. Examples include reports, papers, or archived records.

Raw facts and figures collected for analysis or reference. Forms the building blocks for information processing and decision-making.

Data organized in a pre-defined format, often in rows and columns. It's like a neat and tidy spreadsheet or database.

Data that doesn't conform to a specific format, often in the form of text, images, or videos. It's like a jumbled box of toys.

Partially organized data with some level of structure, often using tags and attributes. It's like a toolbox with organized tools but some things might be misplaced.

Relational Databases, Spreadsheets, Data Tables

Text documents, Images, Videos, Social media posts.

JSON (JavaScript Object Notation), XML (eXtensible Markup Language).

Data is essential for turning raw information into meaningful insights and making informed decisions.