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<speak> We will visualize <break strength="weak"/>the distribution of data <break strength="weak"/>using a histogram plot.<break strength="x-strong"/> Now <break strength="weak"/>let's check the distribution<break strength="weak"/> for all these columns.<break strength="x-strong"/> Let's create <break strength="strong"/>a histogram plot.<break strength="x-strong"/> What is a histogram?<break strength="x-strong"/> A histogram <break strength="strong"/>is a representation of the distribution of data.<break strength="x-strong"/> The Data frame dot hist method<break strength="strong"/> creates a histogram of the data frame.<break strength="x-strong"/> diabetes_df dot hist <break strength="strong"/>and pass figure size.<break strength="x-strong"/> Now run the cell. <break strength="x-strong"/> Here we go. <break strength="x-strong"/>The plot shows <break strength="strong"/>the frequency distributions of all columns.<break strength="x-strong"/> First,<break strength="strong"/> we have the pregnancies column plot. <break strength="x-strong"/> Here 250 people<break strength="weak"/> are around 0 or 1 times of pregnancy. <break strength="x-strong"/>Here we see<break strength="weak"/> 2.5 value around 170 times.<break strength="x-strong"/> It indicates that nearly 170 people become more than two times pregnant.<break strength="x-strong"/> Here, x values are bin values,<break strength="strong"/> and the y value is the frequency.  <break strength="x-strong"/> One hundred and Twenty people are pregnant <break strength="weak"/>more than three times.<break strength="x-strong"/> Here 70 to 80 people become pregnant <break strength="weak"/>more than seven times.<break strength="x-strong"/> Here we can see <break strength="weak"/>the histogram plot of glucose.<break strength="x-strong"/> Glucose present in the body<break strength="weak"/> is around 100 for 200 people.<break strength="x-strong"/> And it is around <break strength="weak"/>125 for 160 people.<break strength="x-strong"/> The blood pressure is around<break strength="weak"/> 70 for 260 people.<break strength="x-strong"/> It is nearly 120 for approximately five patients, I guess. <break strength="x-strong"/> </speak>