The transformation of data

By now we know what data is, but now the question is: what is the purpose of collecting data? Data is useful for describing a physical or social phenomenon and to further answer questions about that phenomenon. For this reason, it is important to ensure that the data is not faulty, inaccurate, or incomplete; otherwise, the responses based on that data will also not be accurate or complete.

There are different categories of data, some of which are past performance data, experimental data, and benchmark data. Past performance data and experimental data are pretty self-explanatory. Benchmark data, on the other hand, is data that compares the characteristics of two different items or products to a standard measure. Data gets ...

Get Mastering Python Data Visualization now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.