Showing and comparing trends
Trends can be visualized when the data objects are described by attributes that are highly related to one another. A great example of such datasets is time series data. Time series datasets have data objects that are described by time attributes and with an equal duration of time between them. For instance, the following dataset is a time series dataset that shows the daily closing prices of Amazon and Apple stocks for the first 10 trading days of 2020. In this example, you can see that all of the attributes of the dataset have a time nature and they have an equal duration of a day between them:
Figure 5.24 – Time series data example (daily stock prices of Amazon and Apple)
The best way to visualize time series data is using line plots. Figure 2.9 from Chapter 2, Review of Another Core Module – Matplotlib, is a great example of using line plots to show and compare trends.
Line plots are very popular in stock market...
