<jupyter_start><jupyter_text>Quiz 1In this quiz we will apply some of the techniques we learned in class to analyze the cereal dataset downloaded from here: https://www.kaggle.com/crawford/80-cereals  Question 1The manufacturer of the cereal is indicated by a letter in the "mfr" column. What manufacturer manufactured the most cereals and what one manufactured the least in this data set? Use a graph or visualization to support your answer.<jupyter_code>import pandas as pd
import seaborn as sns

df = pd.read_csv("Datasets/cereal.csv")
df<jupyter_output><empty_output><jupyter_text>Question 2What is the average amount of sugars based on manufacturer for cold cereals? Or worded another way what is the average amount of sugars for each manufacturer for cold cereals? (Cold cereal indicated by "C" in the type column)? Support your answer with a graph or visualization. Hint: groupby, agg, and np.mean will be helpful here<jupyter_code>import pandas as pd
import seaborn as sns
import numpy as np

df = pd.read_csv("Datasets/cereal.csv")<jupyter_output><empty_output>
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