Python Data Analytics With Pandas Numpy And Matplotlib 2nd Edition Fabio Nelli Nelli by Fabio Nelli [nelli, Fabio] 9781484239131, 148423913X instant download after payment.

In a world increasingly centralized around information technology, huge amounts of data are produced and stored each day. Often these data come from automatic detection systems, sensors, and scientific instrumentation, or you produce them daily and unconsciously every time you make a withdrawal from the bank or make a purchase, when you record various blogs, or even when you post on social networks.

But what are the data? The data actually are not information, at least in terms of their form. In the formless stream of bytes, at first glance it is difficult to understand their essence if not strictly the number, word, or time that they report. Information is actually the result of processing, which, taking into account a certain dataset, extracts some conclusions that can be used in various ways. This process of extracting information from raw data is called data analysis.

The purpose of data analysis is to extract information that is not easily deducible but that, when understood, leads to the possibility of carrying out studies on the mechanisms of the systems that have produced them, thus allowing you to forecast possible responses of these systems and their evolution in time.