Histograms provide a graphical representation of the distribution of continuous data by dividing it into equal intervals and displaying the frequency of data points within each interval as bars. Each bar represents a range of data values and its height shows how many data points fall within that range. Histograms allow analysis of extremely large datasets by reducing the data into a single graph that shows peaks and valleys in the distribution in a visually clear way.

1. Histogram

2. Histogram
▪ A Histogram is a bar graph that shows the frequency of data within
equal intervals.
▪ It was first introduced by Karl Pearson.
• Histograms gives a graphical representation showing a visual
impression of the distribution of Data.
• Each bar represents an interval that contains data.
• The height of the bar indicates the frequency of the data.

3. Why we use Histogram
▪ When there is a lot of data
▪ When data is
▪ Continuous
▪ a mass, height, volume, time etc
▪ Presented in a Grouped Frequency Distribution
▪ usually in groups or classes that are UNEQUAL

4. Histogram

5. Histogram
Unequal Heights determined
by Frequencies.

6. Advantages
Why we should use Histograms?
The power of Histograms is that they allow as to analyze extremely
large datasets by reducing the to a single graph that can show primary,
secondary and tertiary peaks in data as well as give a visual
representation of statistical significance of those peaks.

7. Cautions
While drawing, we should look out for some things-
Sensible Scales
Bases correctly aligned
Plot the Class Boundaries
Heights correct
Frequency Density