Content Comparison

This guide is aimed to provide you with the knowledge to switch to the chartwill help you navigate the Histogram Chart, understand its components, customize intervals, and interpret the data effectively. Use this knowledge these insights to make informed decisions and drive better outcomes in your projectsimprove project outcomes.

Section 1: . Accessing the Histogram Chart 

1.1 Locate the Chart Icon:

• Find and click on the chart icon in the switcher panel to open the Histogram Chart.

...

Section 2:. Understanding the Histogram Chart 

2.1 2.1 Automatic Histogram Formation of Histogram (Single Status GroupTime Metric). When you have only one status group created for your project

• If your project has configured only one time metric, the histogram will

...

• automatically

...

• display

...

• issue distribution over time.

2.2 Selecting a

...

Time Metric (Multiple

...

Time Metrics)

...

If your project contains multiple status groups, follow these steps to select a specific one:

1. Utilize the dropdown menu provided to choose the desired status group.

...

• For projects with multiple time metrics:

  1. Open the dropdown menu.

  2. Select the desired time metric.

  3. The histogram will refresh to show data for the selected metric.

...

If you do not have a Time metric set up, use the “Create Time metric” button in the dropdown.

2.3 Key

...

Components of the Histogram Chart

...

...

• Issue Distribution: It visually represents Shows the number of issues within different grouped by time intervals.

• Average Line: An average line is displayed, indicating Indicates the average time of the for issues in based on the selected status groupmetric.

• Default Bins: By default, the histogram is divided into The histogram defaults to 7 bins, each representing a distinct time interval.

...

2.4 Issue Drill-Down

You can see all the tasks included in this selection by clicking on the time interval value below any bin.

...

So, you click on the interval, and a new tab will open for you in the Jira search with JQL, which will pull out all the tasks that belong to this or that bin.

...

Section 3: . Customizing the Histogram Chart 

3.1 Adjusting Intervals 

Tailoring the You can modify intervals to suit your analysis needs can be done through the Intervals dropdown menu. Consider the following customization optionsbetter needs:

...

• Bin Width: Specifies Define the maximum number of bins (up to 50).

This determines the number of bins displayed in the histogram. A "bin" is essentially a grouping range for your data. You can set up to 50 bins, each representing a specific time interval. For example, if your data spans 50 days and you set 10 bins, each bin will represent 5 days.

• Underflow Value: Establishes Sets the endpoint of the leftmost bin.

This is the smallest value included in the leftmost bin. It defines where the data grouping starts. Example: If your underflow value is set to 0, the first bin will group all issues with a time metric of 0 or slightly above.

• Overflow Value: Determines Sets the starting point of the rightmost bin.

This is the largest value included in the rightmost bin. It defines where the data grouping ends. Example: If the overflow value is set to 50, the last bin will include all issues with a time metric of 50 or less.In order to apply the

made How to Adjust These Settings:

• Use the dropdown menu to input your desired values for Bin Width, Underflow Value, and Overflow Value.

• After making changes, press Enter or click outside the

...

• dropdown to apply them.

...

...

3.2 Default Interval

...

Calculation

By default, the intervals are calculated as the difference between the overflow and underflow values, divided by 5. :

• (Overflow Value − Underflow Value) ÷ 5 This ensures a balanced representation of

...

• your data.

...

4

...

. Interpreting the Histogram Chart

...

To accurately interpret the data presented in make sense of the histogram chart, follow these guidelines:

• Bins: Each bin represents shows the count number of issues within a specific time interval.

• The x-axis displays the time intervals.

• The y-axis represents the count of issues in each interval.

• . A higher count in a bin indicates that many issues fall within that time range, which might signify a bottleneck or a common trend in issue resolution.

• X-Axis: Displays time intervals. Check these intervals to understand how long issues remain unresolved or in progress. For example, if most issues are clustered in shorter intervals, it may indicate efficient processes.

• Y-Axis: Represents the number of issues at each interval. Look for peaks or valleys:

  • Peaks might highlight frequently occurring time frames, potentially signaling consistent processing times or recurring challenges.

  • Valleys might indicate exceptions, where issues take significantly longer or shorter periods to resolve.

Tips for Analysis:

1. Identify Trends:

   • Examine where most issues fall. This could reveal common processing times or areas needing improvement.

2. Spot Outliers:

   • Look for bins with unusually high or low counts. These could represent anomalies or areas requiring further investigation.

3. Compare Metrics:

   • If using multiple time metrics, compare histograms to identify differences in processing times across various workflows or teams.

4. Review the Average Line:

   • Use the average line as a benchmark to determine whether most issues align with typical processing times or deviate significantly.