1. Turbo-Chart Help
  2. Working with Charts

How to display multiple versions of schedule data on one chart?

Turbo-Chart allows you store multiple schedule datasets and then display upto three datasets on a single chart to compare between them

The easiest way to do this is to create a additional datasets within Turbo-Chart and then Import the different versions of schedule data into these:

  1. Open your existing Turbo-Chart file
  2. Select DATA>DATASETS From the menu and click on Add. You can also overwrite the name for the dataset to help assist (Eg. Baseline or Jan24UPDATE Schedule)

    RenameDatasets
  3. Once you create this new Dataset, go to DATA>TASKS and you’ll see this new Dataset as a new Tab, and the list will be blank. The chart will also go blank as the selected dataset has no tasks to display
  4. Import in the data in the same way as you normally would (DB Connection or via the Paste Wizard). If using the paste Wizard, check whether you want the chart to be auto-fit to the imported data:
    PasteWizardBestFit

Note that any new ShapeCodes in the imported data will then also appear in the ShapeLibrary list and will need to be formatted to suit.

To then show the planned vs as-built:

  1. Go to the DATASETS tab and then select the Main Dataset to be the one that is to be more prominent
  2. Then select the 2nd (or 3rd) dataset to also be visible.

    MultipleDatasets
  3. For these 2nd/3rd datasets, select a Blend colour and %, rather than having its original ShapeCode colours, blends to the chosen colour, grey in this example.
  4. You can set an Opacity level, to make the 2nd dataset more transparent, 0 – full transparency, 100% = no transparency
  5. And then a positive or negative offset value to shift the 2nd dataset location values by a set amount to be able to see where there are overlaps – particularly  useful for area shapes that may cover over dates and can create a box shadow effect.

Note that these settings and the selected Datasets are for the current chart, you can then duplicate or create new charts that provide alternative views of the datasets.