Statistics interview question: What do all graphs need?

Visualisation is important in data science because it tells more information than what would have been acquired by just using numeric or categorical data alone.

For instance, below is a dataframe of the daily temperatures in Melbourne, Australia from 1981 to 1990. As can be seen in the tabulated data, it is a bit difficult to read it as it is presented below:-

Using Python’s matplotlib library, the tabular data is plotted on a graph, making it much easier to read. Plotting the data on a graph makes it easier to see the seasonality of the temperatures:-

A basic requirement for a graph is that it is clear and readable. In order to plot a well presented graph, it should have a minimum of:-

1. Title
2. Data points
3. Axis labels

The graph below is an adaptation of the earlier graph in this work. It has:-

1. Title