There are many ways to analyze data in project management. One of the basic seven quality tools (7QC) in project management is the histogram. Histograms are special types of bar chart that are used to describe the dispersion, central tendency and shape of the statistical distribution. Simply put, it is a way to represent the tabulated frequencies of the data.

Understanding histograms can be a very daunting task because  it involves complicated mathematical steps. What most stakeholders forget is that it involves tabulating the data on a tally sheet where the values are organized or grouped together from the smallest to the largest value. The thing is that histograms are graphical  presentations of the substantial information that is grouped into different data sets.

Histograms make inferences from the bar graph. It corresponds to a set of variables for a particular data set. Thus, the placement of each bar along the X-axis is the value of the intervals before the change occurs. In order to analyze the data, the frequency of the occurrence of the variables is determined by looking at the height of the bar. It is also important to establish which point of the Y-axis the bar ends. The x-axis refers to the horizontal line and the y-axis refers to the vertical line.

It is important in project management to use the right tools such as the histogram. It allows the project managers to use the data to determine the profitability of a project activity, monitor different processes and analyze the intensity of each project intensity. It can also be used to determine acceptable limits as well as to determine which aspect of the project process should be further analyzed for improvement.

Knowing how to translate histograms is an important tool in project management and project managers should use it to analyze their data.

This term is defined in the 5th edition of the PMBOK.