From the course: Advanced NoSQL for Data Science

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Exploring data

Exploring data - NoSQL Tutorial

From the course: Advanced NoSQL for Data Science

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Exploring data

- [Instructor] When starting any kind of analytics project, it can help to get a feel for your data. Here are three techniques to help you better understand your data before you begin detailed analysis. Descriptive statistics are widely used to understand the range of values that a numeric attribute can take on. So for example, a bank's customers might range in age from a minimum of 20 to a maximum of 95. Well that's good to know, but it doesn't tell us much about how the data's spread out between those endpoints. Now, the Average, which is also called the Mean, gives us the midpoint value of all ages while the Median gives us the age at which there are just as many younger customers as they are older customers. Another useful statistic is called the Standard Deviation. It's a measure of how spread out the data is. When most of the data tends to the middle and drops off equally above and below the average, then the data has a bell curve shape. You might also hear this called the…

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