GitHub Repository: guipsamora/pandas_exercises
Path: blob/master/07_Visualization/Titanic_Desaster/Solutions.ipynb
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Kernel: Python 2

Visualizing the Titanic Disaster

Introduction:

This exercise is based on the titanic Disaster dataset avaiable at Kaggle. To know more about the variables check here

Step 1. Import the necessary libraries

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import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

%matplotlib inline

Step 2. Import the dataset from this address

Step 3. Assign it to a variable titanic

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Step 4. Set PassengerId as the index

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Step 5. Create a pie chart presenting the male/female proportion

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Image in a Jupyter notebook

Step 6. Create a scatterplot with the Fare payed and the Age, differ the plot color by gender

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(-5, 85)

Image in a Jupyter notebook

Step 7. How many people survived?

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342

Step 8. Create a histogram with the Fare payed

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Image in a Jupyter notebook

BONUS: Create your own question and answer it.

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