In this chapter, we have discussed various types of visual presentation, which included simple graphs, bar charts, pie charts, and histograms written in different languages such as R, Python, and Julia. Visual presentations can help our audience understand our data better. For many complex concepts or theories, we can use visual presentations to help explain their logic and complexity. A typical example is the so-called bisection method or bisection search.
In the next chapter, we will explain many important issues related to statistics, such as the T-distribution, F-distribution, T-test, F-test, and other hypothesis tests. We will also discuss how to run a linear regression, how to deal with missing data, how to treat outliers, how to detect collinearity and its treatments, and how to run a multi-variable linear regression.