If someone collects analytics, they could use the analytics to describe, diagnose, prescribe, or predict patterns in the data. The importance of API analytics is inferred from the simple example at the end of the previous section. Try RapidAPI for Teams Why is API Analytics Important? In this simple example, the use of both qualitative and quantitative API analytics produced a meaningful discovery in the data. In your analysis, you notice that a POST request (a type of HTTP method) is sent when the user performs the action and that it has an abnormally high latency. For example, a user is complaining that a certain action on their app takes a long time. An example of qualitative data in API analyses is the HTTP method of the request.Īdditionally, you can use qualitative data to help categorize quantitative data. Why Collect Qualitative Analytics?ĭespite the importance of quantitative data in API analytics qualitative data plays an important role. Computers can do things pretty quickly, so this is usually measured in milliseconds (ms.). Latency is the time interval between events. If we wanted to know how long an API request took, we could measure the latency. In contrast, a quantitative analyst may measure the dimensions of the paintings and record numbers.ĪPI analytics are all the ways that we can record qualitative and quantitative data from our API requests to be used in a meaningful way. Quantitative data are observed as numbers.Ī qualitative analyst at an art show may describe the quality of a painting by observing it then writing down words.Generally speaking, qualitative data can be an observation that is good, bad, colorful, tall, strong, etc.The two main types of data are qualitative or quantitative. This is preferably one that fits the type of data they have collected. Therefore, the analyst has to choose a certain analysis to perform. However, there are different ways to analyze data based on the type and origin. What is API Analytics? is used for the discovery, interpretation, and communication of meaningful patterns in dataĪnalyzing data can determine the relationship between different parts of data and whether patterns exist. What are some Google Analytics API Alternatives?.
What are some common types of analytics?.
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