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import pandas as pd
import numpy as np


    

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dogdata = pd.read_csv("dogdata.csv")


    

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dogdata.head()


    

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# Question 2: Handling missing values
# Try out your methods here


    

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# Question 3: Counting categorical data
# Test code here


    

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# Question 4: Filtering and grouping data


    

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# Question 5: Pudgy puppies


    

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# Question 6: Vectorizing Code
clifford_data = pd.read_csv("bigdogdata.csv")


    

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# Our example of non-vectorized code
fursums = {"curly": 0, "short": 0, "long": 0}
furcounts = {"curly": 0, "short": 0, "long": 0}

for name, fur, height, age in clifford_data.values:
    if len(name) > 5:
        fursums[fur] += height
        furcounts[fur] += 1

print([i + ": " + str(fursums[i]/furcounts[i]) for i in fursums.keys()])


    

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# Your code here!


    

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