How does graphing work?

Time-series Charts

Time normalization

• All time based charts are normalized to the Run Start time which calculates the Elapsed Run Time (ERT).
• If there is data recorded prior the Run Start time, click View -> Show Pre-run start data to reveal the data prior to t=0.

Zoom

• For Y-axis zooming, click on the two axis numbers to set the zoom bounds.
• For X-axis zooming, click and drag within the graph.

Downsampling and Interpolation

• In order to maintain a snappy interface, we downsample the vast amount of available raw data for the line charts.
• Data is interpolated between time points to enable the calculations in formulas and grouped time-series statistics for runs that do not have identical data frequencies.
• Higher resolution raw data will render as you increase the zoom and is also available through the data export.

Chart Splits

• In the View options you can select to split the data:
  • All-in-one
    • This will show all metrics and runs on a singular graph.
    • Each metric has a unique texture and each run has a unique color.
  • Split metrics
    • This creates a separate chart for each metric.
    • Each run has a unique color which is consistent across each chart.
  • Split Runs
    • This creates a separate chart for each run or run group.
    • Each metric has a unique color which is consistent across each chart.
  • Separate
    • Each metric and run is separated onto their own chart.

Grouping

• Use the 'Group by' option to categorize runs by metadata and access Invert's inter-run statistical comparison tools.
• Line chart groups aggregate the run's interpolated data and display a solid line for the 50th percentile (median) values with a shaded range of the 16th to 84th percentiles. This ensures a distribution-agnostic analysis. Unlike mean and standard deviation, these percentiles provide a summary of both central tendency and variability within data. If the data is normally distributed these percentiles will represent 1 standard deviation.

Scatterplot Charts

• Toggle to scatter charts under the View dropdown menu.

  

• The x-axis is set to the run name by default. However, you can select any categorical or time-series aggregated metric available to the selected runs by clicking on the tile next to the X.

• The y-axis metrics can be any numeric values. This includes time-series aggregations, single-point values (numeric metadata), and calculated metrics.

  • Time-series aggregation options include mean, minimum, maximum, standard deviation, first, last, and count.