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Welcome to Vizalyze, a desktop application for preparing, visualizing, analyzing, and reporting measurement data.

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In this tutorial, we’ll start with raw test files and follow a complete workflow through import, charting, analysis, reporting, and saving our work.

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Vizalyze opens in Basic Mode, which keeps the interface focused while preserving access to every feature.

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On the left, the Dataset panel is where files are added, configured, grouped, and selected.

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The Sessions panel provides access to saved work.

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Across the top, the workflow bar guides us through Load, Health, Compare, Analyze, and Report.

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The center is the Visual Workspace, where chart canvases and reports appear.

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On the right, the Channel Browser lists available signals, while the Chart Builder creates reusable plot configurations.

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In Basic Mode, secondary batch and data commands are organized under the clearly named Batch and data menu.

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This reduces visual density without removing any capability.

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Vizalyze provides two interface modes.

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To switch, open Tools, View, and enable Advanced Mode.

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Advanced Mode exposes frequently used batch and data operations directly on the workflow bar.

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Here we can see Batch Plot, Split Steps, Merge Timestamp, Export File Statistics, Loaded Summary, and Batch Report.

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If we return to Basic Mode, those functions remain available inside Batch and data, and they can also be found through the command palette.

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Basic Mode is ideal for a quieter, focused workspace.

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Advanced Mode is useful when faster access to high-volume operations matters.

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We’ll continue in Advanced Mode so every major control remains visible.

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Data can be added by opening individual files, scanning a folder, or dragging files and folders directly into the Dataset panel.

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We’ll use Vizalyze’s synthetic multi-run stack test data.

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It contains realistic import challenges, including a preamble, a semicolon delimiter, a units row, and channel names that need cleanup.

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When source files are not immediately analysis-ready, the Advanced Import Utility provides a visual configuration workflow.

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The raw preview shows that this export uses a semicolon rather than a comma.

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Metadata lines also appear above the real channel header.

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We select the correct delimiter and identify the row containing the channel names.

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Preamble extraction preserves fields such as the operator and test identifier as useful metadata.

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A cleanup rule removes the CH prefix, producing clear names such as Temperature, Pressure, and Power.

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Unit-row detection then associates engineering units with the correct channels.

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The live preview lets us verify the prepared table before loading it.

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Related files can be organized into groups and subgroups.

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Here, the filenames identify Run A and Run B, with three replicates in each group.

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Grouping supports appending files as one series, calculating statistics across replicates, and comparing sibling runs.

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Icons beside each file communicate its current state, such as selected, queued, loading, prepared, plotted, failed, or live.

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The Files pill summarizes progress across the dataset, while the right-click menu provides quick access to preview, configuration, reload, and grouping actions.

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Once data is loaded, its columns appear in the Channel Browser.

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We can search by name, mark important channels as favorites, and switch between grouped and flat views.

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Styling controls make it easy to apply consistent colors across multiple charts and reports.

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The Chart Builder creates visualizations without requiring code.

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In Visual Mode, each card defines an X-axis, one or more Y channels, and a chart type.

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We’ll plot Temperature and Pressure against Time, then run the configuration.

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Channels can also be dragged directly from the Channel Browser onto a chart.

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Adding Power this way updates both the canvas and the builder.

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For automated workflows, Script Mode exposes the same configuration in a reusable text format.

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The canvas ribbon contains the everyday chart controls.

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We can zoom and pan, change chart types, edit titles and axes, control grids and legends, and format individual series.

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The Inspect tool adds measurement cursors for reading values at two positions and calculating their differences.

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Visible Range Statistics continuously calculates values such as minimum, average, maximum, peak-to-peak, and standard deviation for the displayed region.

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A finished chart can be copied directly to the clipboard or exported as an image.

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The Signal section contains guided engineering-analysis tools, including filtering, smoothing, moving RMS, signal math, FFT and power spectral density, spectrograms, rainflow counting, and specialized NVH analysis.

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Each tool provides parameters and a preview before applying the operation.

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Results are added as calculated channels, preserving the original data while making the processed signal immediately available throughout Vizalyze.

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Data Health checks selected files for missing values, timestamp problems, outliers, inconsistent units, and other quality concerns.

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The result combines a clear status with recommended actions, helping us resolve problems before using the data in comparisons or reports.

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Compare Runs evaluates tests or replicates using a consistent alignment.

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Options include time, resampling, event or step alignment, setpoint alignment, trend-zero, and row index.

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The result combines overlay plots with statistics and differences between runs.

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We can export either a compact summary or the fully aligned time-series data for use in Excel, Power BI, or another analysis environment.

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The Analysis Dashboard organizes statistical work into a guided sequence.

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Overview summarizes datasets and key indicators.

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Inspect focuses on quality, descriptive statistics, and configurable limits.

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Explore reveals relationships and differences between signals or runs.

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Modeling tools support regression, trend analysis, projections, and target-value estimates.

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Test Guide offers domain-oriented guidance, while Power Mode supports more advanced controlled transformations.

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Advanced Mode keeps high-volume operations close at hand.

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Batch Plot Append combines grouped files as a continuous series, while statistical Batch Plot calculates a mean or another selected statistic across runs.

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Split Steps segments test files, Merge Timestamp joins external data using time alignment, and Export File Statistics creates a bulk summary.

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Pivot or Group-By Summary provides Excel-style aggregation, and prepared datasets can be exported to common analytics formats.

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Report pages live beside chart canvases in the Visual Workspace.

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We can begin with a blank page or a reusable template, then drag existing canvas charts directly into the report.

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Report elements remain editable.

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We can position and resize plots, add text, tables, images, shapes, and formulas calculated from loaded data.

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Plot formatting controls legends, axes, labels, grids, and visual style, while undo and redo make layout changes easy to refine.

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Loaded Summary can build a polished page from current Health, Compare, and Analysis results.

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Finished reports can be saved natively or exported to PDF, PowerPoint, Word, and page images.

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A session preserves source references, import settings, charts, analysis state, reports, notes, and workspace layout.

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Data Lineage records how sources and calculated results are connected, supporting repeatability and traceability.

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Panels can be collapsed, resized, or floated, and Zen Mode maximizes space for charts and reports.

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Axy is the optional assistant for questions about data, channel selection, formulas, and transformations.

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Control K opens the command palette, where any tool, setting, or guided tour can be found by name.

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Additional guidance is always available through contextual help, the User Guide, and the Interactive Tutorial.

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We’ve taken raw measurement files through preparation, visualization, signal processing, quality checks, comparison, analysis, and reporting.

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The complete workflow can now be saved and reused with future data.

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Thank you for watching.