Introducing exploratory visualization
Exploratory visualization is a crucial step in the data analysis process, allowing us to gain insights and understand underlying patterns, relationships, and trends within our data. It involves creating visual representations of the data to explore its various attributes and uncover potential patterns or anomalies. The primary goal of exploratory visualization is to visually inspect the data, identify any interesting features, and generate hypotheses for further investigation. By leveraging the power of visual perception, we can better understand complex datasets and make informed decisions. MATLAB provides a variety of functions and tools for exploratory data visualization. Here are some commonly used functions for exploratory visualization:
plot(): This function is used to create line plots, scatter plots, or any custom plot by specifying x and y coordinates.histogram(): This function creates histograms to visualize the distribution...
