I have never worked with a Binary dataset (1 and 0) (True or False) so I'm unsure what kind of statistical tests I should run to draw up simple conclusions.
I'm doing a data science project and the company wants to know/understand what features/characteristics are important to decide whether or not a customer will renew their lease (last column in Graph). They want me to just perform basic/simple probability and statistical analysis on the dataset.
I'm working in a Juypter notebook (pandas, seaborm, numpy, matplotlib, sklearn). I would appreciate it if someone could help lead me in a direction to what kind of simple analysis I can run on binary data.
Heres a sample of the table:
|ID||Age 20-29||Age 30-39||Age 40-49||Age 50 >||Lease Length < 1 year||Lease Length 1-2 Years||Lease Length > 3 Years||Late Payment||No Fine Violations||Credit Score Below 600||Renews|