From the course: Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python

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Data with a structure

Data with a structure

From the course: Deep Learning and Generative AI: Data Prep, Analysis, and Visualization with Python

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Data with a structure

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- [Instructor] There are three types of data, structured data, semi-structured data, and unstructured data. Structured data is neatly organized information that fits into predefined categories, like rows and columns in a database or a spreadsheet. This makes it easy to search, analyze, and use for tasks like customer management or financial reporting. For instance, a customer database with columns for name, address, and purchase history is structured data. Semi-structured data has some organizational structure, but not as rigid as structured data. Semi-structured data might contain tags or labels to categorize information, making it easier to process than unstructured data. An example of unstructured data is a social media post. It contains text, images, and sometimes video, but it doesn't fit neatly into rows and columns, like structured data. Unstructured data has no specific order. While it can be valuable, it requires extra effort to sort and understand. Imagine trying to find a…

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