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.