To construct a histogram, divide the entire range of values into non-overlapping adjacent intervals (bins), and then count how many elements from the dataset fall into each interval. This is how we built the example histogram from the last section.
Notice how the intervals below are expressed:
The histogram data can also be expressed in table form, as seen here.
| Bin | Count |
|---|---|
| [ [This bracket means that the number is included in the interval. The interval is left-closed.0; 10 ))This bracket means that the number is not included in the interval. The interval is right-open. | 3 |
| [10; 20) | 4 |
| [20; 30) | 5 |
| [30; 40) | 3 |
| [40; 50) | 2 |
| [50; 60) | 1 |
Of course, you can also use different bin widths (i.e. using an interval of 5 instead of 10) to learn more about the dataset.
| Bin | Count | Bin | Count |
|---|---|---|---|
| [0; 5) | [5; 10) | ||
| [10; 15) | [15; 20) | ||
| [20; 25) | [25; 30) | ||
| [30; 35) | [35; 40) | ||
| [40; 45) | [45; 50) | ||
| [50; 55) | [55; 60) |
