Customizing

Customize Modules with Histograms

Customizing

Information

  • Histograms are bars in a utilization diagram. This representation is shown below a time scale along with a histogram scale.

Procedure

  • Data area

  • Module

    • For the data area with histogram bars,

      • define the scale area as a parent area (directly or indirectly via the structure of the data areas)

      • define the Scale and Grid parameters. They dtermine the total height (fixed height) or height of the individual grid units (flexible height) of the utilization diagram.

    • At module data area assignment level, define the scale for the scale area in the Scale field.

Caution

  • It is not allowed to customize projections and histograms in the same data area. If you ignore this, a Python error message will be displayed when the module is used.

Customizing Example: Utilization Diagrams with Histogram and Projected Values

Objective

  • To visualize the figures for the associated histogram bars in addition to a utilization diagram.

Example

Procedure

  • Data Areas

    • Period data area

      • Contains the source data fields, e.g. DI HISTO summ. avail. cap or proj. avail. cap. The histogram bar must be in window 9, since this data area does not contain a histogram scale field.

      • Since the values can only be displayed under a scale, they must have a Grid at data field level, e.g. 3 for Week. The grid should be the same in all data areas of this module.

    • Load data area

      • Also contains the source data fields and the complex DIs (in this case the projected values proj. a. load. and proj. r. load.).

      • The complex DIs also receive Grid = 3.

    • TA/Resource data area

      • The data fields from the load data area are displayed in a summarized and projected manner.

      • The complex DIs also receive Grid = 3.

      • If the summarized data items themselves do not contain any summarization type, one must be entered here, e.g. 1 for Total.

    • Task data area

      • The data fields from Load are displayed in a projected and summarized manner.

      • The complex DIs also receive Grid = 3.

      • The rule of the summarization type is to be respected here as well.

    • Project data area

      • The data fields from Load are displayed in a projected and summarized manner.

      • The complex DIs also receive Grid = 3.

      • The rule of the summarization type is to be respected here as well.

    • Resource data area 1 (for projected values)

      • The data fields from Load are displayed in a projected and summarized manner.

      • The data fields from Period are displayed in a projected and summarized manner.

      • The complex DIs also receive Grid = 3.

      • The rule of the summarization type is to be respected here as well.

    • Resource data area 2 (for utilization diagrams)

      • The data fields from Load are displayed as histogram bars and in a summarized manner.

      • The data fields from Period are displayed as histogram bars and in a summarized manner.

      • The histogram bars also receive Grid = 3.

      • Furthermore, this data area contains a histogram scale field for displaying histogram bars. The grid for this is 100.

      • The rule of the summarization type is to be respected here as well.

  • Module

    • The constructed data areas are assigned to the required module as follows:

      • Time scale area

        • Resource data area 2

          • Resource data area 1

            • Project data area

              • Task data area

                • TA/Resource data area

                  • Load data area

            • Period data area

    • The Period and Load data areas receive Fulfillment = since they do not have any sub-data areas.

    • The Period, Load and TA/resource data areas are to be set to Never show = . The other data areas are to be displayed.

    • The resource data area with the histogram bar contains scale = 500. The size of the scale is calculated using the grid in this data area.

    • Indenting individual data areas will generate a better overview.

Caution

  • It is not allowed to customize projections and histograms in the same data area. If you ignore this, a Python error message will be displayed when the module is used.