Data visualization is an important pillar of machine learning. It helps us to formulate the right strategies to understand data. The visual representation of data assists helps us choose the right algorithms. One of the main goals of data visualization is to communicate clearly by using graphs and charts.
We encounter numerical data all the time in the real world. We want to encode this numerical data by using graphs, lines, dots, bars, and so on, to visually display the information contained in those numbers. This makes complex distributions of data more understandable and usable. The process is used in a variety of situations, including comparative analysis, tracking growth, market distribution, public opinion polls, and much more.
We use different charts to show patterns or relationships between variables. We use histograms to display the...
