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Feature Engineering Papangkorn Inked, Ph.D. Feature Understanding Chapter 2Structure and Unstructured Data Structured (organized) DataCharacteristics Can be broken down into operations and characteristics
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How to fill out structured vs unstructured data

01
Structured data: 1. Identify the specific fields or columns required for the data structure. 2. Organize the data into a standardized format such as tables or spreadsheets. 3. Fill out each field with relevant information.
02
Unstructured data: 1. Determine the type of unstructured data being collected (e.g. text, images, videos). 2. Use tools like natural language processing or machine learning algorithms to extract valuable insights from the unstructured data. 3. Organize the extracted information into a structured format for analysis.

Who needs structured vs unstructured data?

01
Structured data is typically utilized by organizations that require organized and easily accessible information for reporting and analysis purposes.
02
Unstructured data is valuable for businesses looking to extract insights from sources like social media, customer reviews, and multimedia content.
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Structured data is data that is organized into a predefined format, while unstructured data does not have a pre-defined data model.
Various organizations and businesses may be required to file structured or unstructured data depending on regulatory requirements or internal data management practices.
Structured data can be filled out using predefined data fields and formats, while unstructured data may require more flexible approaches such as text analysis or data mining.
Structured data is typically easier to analyze and organize, while unstructured data can provide more insights and context but may be more challenging to manage.
The information reported on structured vs unstructured data may vary depending on the specific data set and reporting requirements.
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