Lab 2: Exploring Summary Statistics with Pandas:

Description: Download the Lab2-Pandas Summary Statistics.ipynb Jupyter Notebook file and the zip file containing the titanic passenger list.csv dataset. Use Pandas attributes, methods, and functions such as shape, info(), min(), mean(numeric_only=True), and sum() to explore and summarize important characteristics of the Titanic passenger data. You will calculate summary statistics and answer questions about the dataset using these functions. Submit screengrabs of your code containing the output, similar to the screenshots below.

Expected output: Titanic passenger DataFrame shape and info() output showing column names and data types

 

Expected output: Titanic passenger DataFrame min() values for each numeric column  

Expected output: Titanic passenger DataFrame mean(numeric_only=True) output for each numeric column

 

Expected output: Titanic passenger DataFrame sum() output for each numeric column

 

Expected output: Titanic passenger DataFrame summary answers to questions about the dataset