<jupyter_start><jupyter_text>EDA with VisualsCreate visualizations to answer the quiz questions below this notebook. Use the `winequality_edited.csv` dataset, which you should've created  in the previous concept: *Appending Data (cont.)*.<jupyter_code>import pandas as pd
import matplotlib.pyplot as plt
# Load dataset
df = pd.read_csv('winequality_edited.csv')
df.head()<jupyter_output><empty_output><jupyter_text>Histograms for Various Features<jupyter_code>df.fixed_acidity.hist();
df.total_sulfur_dioxide.hist();
df.pH.hist();
df.alcohol.hist();<jupyter_output><empty_output><jupyter_text>Scatterplots of Quality Against Various Features<jupyter_code>df.plot(x = 'volatile_acidity', y = 'quality',kind = 'scatter');
df.plot(x = 'residual_sugar', y = 'quality', kind = 'scatter');
df.plot(x = 'pH', y = 'quality', kind = 'scatter');
df.plot(x = 'alcohol', y = 'quality', kind = 'scatter');<jupyter_output><empty_output>
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