Data preparation

Once data collection has been completed and imported into MATLAB, it is finally time to start the analysis process. This is what a novice might think; conversely, we must first proceed to the preparation of data (data wrangling). This is a laborious process that can take a long time, in some cases about 80 percent of the entire data analysis process. However, it is a fundamental prerequisite for the rest of the data analysis workflow, so it is essential to acquire the best practices in such techniques.

Before submitting our data to any machine learning algorithm, we must be able to evaluate the quality and accuracy of our observations. If we cannot access the data stored in MATLAB correctly or if we do not know how to switch from raw data to something that can be analyzed, we cannot go ahead.

A first look at data

Before passing our data to machine learning algorithms, we need to give a first look at what we've imported into MATLAB to see if there are any issues. Often, raw...