<jupyter_start><jupyter_text>Exploring Wine Quality redThe flat file imported is `'winequality-red.csv'` from the University of California, Irvine's [Machine Learning repository](http://archive.ics.uci.edu/ml/index.html). The flat file contains tabular data of physiochemical properties of red wine, such as pH, alcohol content and citric acid content, along with wine quality rating.The URL of the file is```'https://s3.amazonaws.com/assets.datacamp.com/production/course_1606/datasets/winequality-red.csv'```<jupyter_code>from urllib.request import urlretrieve
import pandas as pd
import matplotlib.pyplot as plt
url = 'https://s3.amazonaws.com/assets.datacamp.com/production/course_1606/datasets/winequality-red.csv'
urlretrieve(url, 'winequality-red.csv')
df= pd.read_csv('winequality-red.csv', sep=';')
df.head()
pd.DataFrame.hist(df.iloc[:, 0:1])
plt.xlabel('fixed acidity (g(tartaric acid)/dm$^3$)')
plt.ylabel('count')
plt.show()<jupyter_output><empty_output>
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