Plotting techniques
Unlike machines, humans are terrible at understanding data without graphics. Various visualization techniques have been invented to make humans understand different datasets. There are various types of graphs that you can plot, each with its strengths and weaknesses.
Each type of chart is only suitable for a certain scenario, and they shouldn’t be mixed up. Presenting dropped-out customer details for marketing scatter plots is a good example of this. A scatter plot is suitable for visualizing a categorical dataset with numeric values; you will be exploring this further in the following exercise.
To present your data in the best way possible, you should choose the right graph for the right data. In the following exercises, you will be introduced to various graph types and their suitability for different scenarios. You will also learn how to avoid plotting misleading charts.
You will plot each of these graphs in the following exercises and observe...
