The Dataset Table contains all the X-Axis Values and Y-Axis Values of your Datasets. You can modify how each of your Datasets are displayed on the graph.

•	Changing the units of measurement
•	Combining Datasets on one Y-Axis, or separating them
•	Showing and hiding Datasets
•	Changing Color and Plot Styles

If you have not yet performed your experiment, the Dataset Table will only show values for predictions you created. See Creating a Datalogging Program for information on running an experiment and uploading your results.

You can open the Dataset Table by clicking the Dataset Table tab.

Dataset Table tab

Sensor Type

Sensor Unit

Delete Dataset

Experiment start time

Dataset Values

Sensor Units

Changing the units of measurement (for example, from Degrees to Rotations) will cause the Dataset Values to change accordingly.

Move Dataset to Axis

Datasets can be combined on one Y-Axis, or separated to different Y-Axes.

It can be a good idea to combine Datasets; to ‘bundle’ the same sensor type on the same Y-Axis. For example, if you use two Color Sensors for one experiment, you will have two Y-Axes.

To get both Datasets on a single Y-Axis:

1.	Find the Dataset to move.
2.	Click Move Dataset to Axis.
3.	Select the other Dataset’s Y-Axis.

Similarly, you can separate Datasets. For example, if you run your experiment several times, you will have several Datasets for each Y-Axis. Separating Datasets lets you change the plot colors, styles and scales for each Dataset. To separate Datasets:

1.	Find the Dataset to move.
2.	Click Move Dataset to Axis.
3.	Select a new Y-Axis, as indicated by the asterisk.

Dataset Name

You can rename each dataset.

Show/Hide Datasets

Show or hide a dataset in your dataset table by clicking on the eye icon.

Color and Plot Style

You can customize your graph by changing the Color and Plot Style for each Dataset. Measured sensor data plots are drawn with a solid line. Predictions are drawn with a dotted line.

By default, a sensor’s predictions and measured data use the same color on the Graph. To differentiate, you can change the color of the plot.

If you print your graph using a black-and-white printer, use different plot styles to make each plot easier to identify.

Plots automatically fade in color as new data is logged or predictions are made. The more solid the color, the newer the Dataset; the lighter the color, the older the Dataset. If enough data is gathered, the oldest Dataset will turn grey. The plots do not fade if you choose a Color and Plot Style.

Editing Predictions

You can edit the values in a Prediction Dataset by selecting Edit Prediction in the Data Logging Toolbar and clicking a cell in the Dataset Table or directly changing the prediction. See Prediction Tool for more information.

Removing Dataset Values

Removing values from Dataset is used to delete a specific range of values from a selected prediction or dataset. Remove Values is also intended to remove unintended spikes and valleys on the Graph that appear when collecting data from certain sensors.

To remove values from a specific prediction or dataset, select the prediction or dataset by clicking on it in the Graph or the Dataset Table. Then select the Remove Values from Dataset option from the Tools menu.

Enter the lowest and highest values that you would like to remove. All values, including the specific values entered into fields 1 and 2, will be removed from the selected prediction or dataset. For example, if you enter 50 into field 1 and 100 into field 2, not only will all of the values between 50 and 100 be removed, the values 50 and 100 will also be removed.

When you click on OK, the Graph and Dataset Table will be automatically updated to reflect your selection.

Tips and Tricks

When do I use the Remove Values from Dataset tool?

Remove Values from Dataset is useful if you wish to remove the spikes that sometimes appear when the ultrasonic signal is not echoed back to the Ultrasonic Sensor. This can happen for a number of reasons (an object that is beyond the maximum range of the sensor, objects that are made of textiles or rough surfaces, or objects too small to return the signal). Certain surfaces are not effective at echoing the sound waves from the Ultrasonic Sensor so the sensor considers them to be “out of range” and automatically enters a 255 cm (100 inch) value on the Graph. Use Remove Values from Dataset to clean up your results and remove these spikes before analyzing your dataset.