Python assignment

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The purpose of this assignment is to practice using the pandas, matplotlib and seaborn libraries

Part 1: Pandas (3 marks)

Using the heart-attack.csv example found in Pandas Examples on D2L, fill in the blanks in the

assign1-pandas.ipynb file for a new dataset, auto-mpg

The first step is to download the auto-mpg data set (auto-mpg.data and auto-mpg.names) from

UCI: https://archive.ics.uci.edu/ml/datasets/Auto%2BMPG

From the Pandas Examples file, replace gender with origin and age with mpg

Rename this file assign1-pandas-auto_mpg.ipynb and submit the Google Colab link to D2L

Continue this analysis in Part 2 for the assign1-visualization.ipynb file

Part 2: Visualization (3 marks)

Using the heart-attack.csv example found in Visualization Examples on D2L, fill in the blanks in

the assign1-visualization.ipynb file for a new dataset, auto-mpg

The first step is to download the auto-mpg data set (auto-mpg.data and auto-mpg.names) from

UCI: https://archive.ics.uci.edu/ml/datasets/Auto%2BMPG

From the Visualization Examples file, replace gender with origin and age with mpg

Rename this file assign1-visualization-auto_mpg.ipynb and submit the Google Colab link to D2L

Part 3: Chicken Dataset (14 marks)

Fill in the blanks for the assign1-chicken.ipynb file and complete the reflection questions at the

end of the file.

To hand-in:

Google Colab links for the following pieces of code:

• assign1-pandas-auto_mpg.ipynb

• assign1-visualization-auto_mpg.ipynb

• assign1_chicken.ipynb

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