How to use .describe() to quickly see some descriptive statistics at a glance.
How to use .resample() to make a time-series data comparable to another by changing the periodicity.
How to work with matplotlib.dates Locators to better style a timeline (e.g., an axis on a chart).
How to find the number of NaN values with .isna().values.sum()
How to change the resolution of a chart using the figure's dpi
How to create dashed '--' and dotted '-.' lines using linestyles
How to use different kinds of markers (e.g., 'o' or '^') on charts.
Fine-tuning the styling of Matplotlib charts by using limits, labels, linewidth and colours (both in the form of named colours and HEX codes).
Using .grid() to help visually identify seasonality in a time series.