Conclusion

Plotting is a way to inspect data and computation.

You learned why plots matter, how to make line plots, scatter plots, histograms, and matrix displays, how to label and save figures, and how to use plots for visual debugging.

The central habit is:

make a plot, then write what it shows

The plot is only useful if you can describe it:

The computed curve passes through the data points.
The values grow faster as x increases.

What comes next

The next chapter introduces randomness and reproducibility.

Random values are useful for experiments, sampling, and synthetic data. They also make inspection harder unless the random process can be repeated. That is where seeds and reproducible runs enter.