Next I imported the CSV data with the help of pandas' read_csv(" ")
and called for the data in the next cell.
A cleanly organized data frame is returned including data on passenger class, whether the passenger survived, name, sex, and much more.
Legend to the data can be found at the tutorial site mentioned above.
Finally now you can use Seaborn and Matplotlib, which are plotting libraries for data visualization.
Lastly, we will look at one of the violin plots provided by Seaborn.
This allows us to see two variables at play.
Passenger age correlated to whether they survived.
The data, separated for whether they were male or female, you can see that very few over the age of 60 years old survived.