Another use of rectangular bars on a graph is called a “histogram”, not “bar graph”, to display a continuous range of data in increasing or decreasing value in a list of equally divided range segments to show how these compare. For example, if you were to measure how many people in a classroom fell into a range of heights, and one range was 5 feet (1. 5 m) to 5 feet 3 inches (7. 6 cm), and so on, then you’d need to use a histogram.
Label the bottom axis. After you’ve marked down all of the months that you’ll be categorizing, you can give the entire axis a label. In this case, let’s label the axis “Months”.
For example, if the rain fell to 30 inches (76. 2 cm) in February of 2005, then raise the bar up to 30 inches (76. 2 cm). If it fell 20 inches (50. 8 cm) in March of 2005, then draw the bar accordingly.
Outliers. Outliers are the pieces of data that fall outside the range of normal data that you gathered. In this case, 70 inches (177. 8 cm) of rain, which occurred in February of 2006, is an outlier because the rest of the data is far below this norm, with the next highest amount of rainfall being[7] X Research source 40 inches (101. 6 cm). Gaps. Look for gaps between the data. There was a gap, or no rainfall, in the month of July, as well as in the months between August and February. [8] X Research source Frequency. See if there’s an amount that is frequently occurring. In this bar graph, the most common occurrence is 10 inches (25. 4 cm) of rainfall, which happens in April, May, and June. [9] X Research source Clusters. Look for clusters of data. Most of the inches of rainfall occur around the months of February, March, and April of 2005. [10] X Research source
