Summary
In this chapter, we studied a business problem related to bike sharing services. We started by presenting some of the main visual techniques in data analysis, such as bar plots, scatter plots, and time series visualizations. We also analyzed customer behaviors based on different time frames and weather conditions. We introduced the reader to hypothesis testing and some of its main applications. Finally, we presented the basics of time series analysis, and how to identify the best time series models when dealing with nonstationary time series.
In the next chapter, we will proceed with our analysis by presenting some of the commonly used data transformation techniques, topics from probability theory, and further techniques in hypothesis testing.
