Kernel: Python 3

Tips

This exercise was created based on the tutorial and documentation from Seaborn The dataset being used is tips from Seaborn.

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import pandas as pd

# visualization libraries
import matplotlib.pyplot as plt
import seaborn as sns


# print the graphs in the notebook
% matplotlib inline

# set seaborn style to white
sns.set_style("white")

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<seaborn.axisgrid.JointGrid at 0x1197d84d0>

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<seaborn.axisgrid.PairGrid at 0x11844c090>

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Tips

Tips

Introduction:

Step 1. Import the necessary libraries:

Step 2. Import the dataset from this address.

Step 3. Assign it to a variable called tips

Step 4. Delete the Unnamed 0 column

Step 5. Plot the total_bill column histogram

Step 6. Create a scatter plot presenting the relationship between total_bill and tip

Step 7. Create one image with the relationship of total_bill, tip and size.

Hint: It is just one function.

Step 8. Present the relationship between days and total_bill value

Step 9. Create a scatter plot with the day as the y-axis and tip as the x-axis, differ the dots by sex

Step 10. Create a box plot presenting the total_bill per day differetiation the time (Dinner or Lunch)

Step 11. Create two histograms of the tip value based for Dinner and Lunch. They must be side by side.

Step 12. Create two scatterplots graphs, one for Male and another for Female, presenting the total_bill value and tip relationship, differing by smoker or no smoker

They must be side by side.

BONUS: Create your own question and answer it using a graph.