Histograms use bars to visualize data as well. Many people may not even realize there is a difference between a histogram and a bar chart. They practically look the same from a distance.

The key is that a histogram looks solely at quantitative variables while a bar chart looks at categorical variables. That&rsquo;s why the bars in a histogram are typically grouped together without spacing in between the bars.

<img alt="" src="https://www.edrawsoft.com/howto/charts-comparison.png" />

Let&#39;s plot a histogram now! On calling the hist( ) method on a DataFrame, you&#39;ll get histograms for all the Series.

<img alt="" height="974" src="https://dphi-courses.s3.ap-south-1.amazonaws.com/introduction-to-eda/Module3/eda3m3.png" width="1202" />

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<h3>Observations:</h3>

<ul>
	<li style="list-style-type:disc">The distribution of the attribute &ldquo;alcohol&rdquo; seems to be positively skewed&nbsp;i.e the curve is shifted towards the left.</li>
	<li style="list-style-type:disc">The attributes &#39;density&#39; and &#39;pH&#39; are quite normally distributed.</li>
	<li style="list-style-type:disc">Now looking at the attribute quality, we can observe that the wines with average quality (i.e. quality rating 5 to 7) are more than wines with bad(1-4) or good(8-10) quality.</li>
</ul>