<jupyter_start><jupyter_text>In this format, it is much easier to use plotting programs to understand the variations in the data.The seaborn statistical plotting library also is set up to make very useful visualizations from data in tidy format.<jupyter_code>sns.stripplot(data=df, x='dorm', y='energy_kWh', hue='appliance')
sns.stripplot(data=df, x='appliance', y='energy_kWh', hue='dorm')<jupyter_output><empty_output>
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