Jasmine
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README.md
Defining Data
Introduction
Data are facts, information, observations and measurements that are used to make discoveries and to support informed decisions. A dataset, which is a collection of data may come in different formats and structures, and will usually be based on its source, ot where the data came from. For example, a company's monthly earnings might be in a spreadsheet but hourly heart rate data from a smartwatch may be in JSON format. It's common for data scientists to work with different types of data within a dataset.
This lesson focuses on identifying and classifying data by its characteristics and its sources.
Pre-Lecture Quiz
Pre-lecture quiz
How Data is Described
Raw Data
Numerical
Categorical
How Data is Structured
Structured Data
Structured data is data that is organized into rows and columns, where each row will have the same set of columns. A benefit of structured data is that it can be organized in such a way that it can be related to other structured data. However, because the data is designed to be organized in a specific way, making changes to its overall structure can take a lot of effort to do.
Examples of structured data: Spreadsheets, relational databases
Semi-structured
Unstructured Data
Unstructured data
Sources of Data
Internet
APIs
Scraping
Spreadsheets
🚀 Challenge
Post-Lecture Quiz
Post-lecture quiz