Weekly exercise 8: Simple Matplotlib exercises¶

Follow the compulsory QuantEcon DataScience tutorial at https://datascience.quantecon.org/applications/visualization_rules.html

Task 1¶

Import the necessary libraries

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# hint: we need pd and plt
@@@

# print the graphs in the notebook
%matplotlib inline

Task 2¶

Import the dataset from https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv

Assign it to a variable called tips

Take the first look at the dataset

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# write your code here

Task 3¶

Delete the Unnamed 0 column

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# write your code here

Task 4¶

Plot the total_bill column histogram:

create the histogram plot object
set axes labels and plot title

Follow https://matplotlib.org/gallery/pyplots/pyplot_text.html#sphx-glr-gallery-pyplots-pyplot-text-py

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# write your code here

Task 5¶

Create a scatter plot presenting the relationship between total_bill and tip, using one function.

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# write your code here

Task 6¶

Create one 3 by 3 image with the relationship of total_bill, tip and size. Again, use just one function.

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# write your code here

Task 7¶

Present the relationship between days and total_bill value. Use jitter = True argument for visual appeal.

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# write your code here

Task 8¶

Create two scatterplot graphs, one for Male and another for Female, presenting the total_bill value and tip relationship, differing by smoker or non-smoker. Add a legend.

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# write your code here