Data logs are only useful if you can actually read them. DataLogViewer.com gives you a free browser-based way to upload a log, graph the channels that matter, and look at the event from more than one angle at once. You can switch between time and sample views, smooth noisy traces, zoom into a problem area, and pan through the run without fighting clunky software. The summary table is the real shortcut: click any point on the graph and you get a full snapshot of every recorded parameter at that exact moment. That makes it easier to compare conditions, troubleshoot issues, and understand what the vehicle was doing when something changed. If you need to save or share what you found, export the graph as a PNG, including a white-background version for printing.
Banks Power introduced Data Log Viewer as a free, web-based tool for visualizing and analyzing recorded data. It is designed to work with logs from the Banks iDash DataMonster, but it can also display files from many other data loggers. The presentation focuses on how to load a log, configure the display, inspect recorded channels, and export graphs for later use.
When the website first opens, a sample file is already loaded so users can immediately see how the interface works. To view a personal log from an iDash DataMonster, the user removes the microSD card from the device, inserts it into a laptop or desktop computer, browses the files on the card, and selects the desired log for upload at datalogviewer.com.
During upload, the site processes the selected file and then displays a new filename in the interface. That filename should match the file chosen from the microSD card. Once the upload is complete, the graph updates automatically to show the newly loaded data.
The center of the interface is built around XY graphs. Recorded channels can be selected for display on the main graph, and the same process applies to the lower graph as well. This allows the user to compare different parameters from the same recording without needing to plot every available channel at once.
On the left side, the viewer includes a control for the number of graphs shown simultaneously. The display can be expanded to three or even four graphs, or reduced to two graphs to create more working space for each plot. There is also a toggle to show or hide the channel list. Hiding the channel controls frees additional screen space, while showing them again makes it easy to change which channels are plotted.
Below the graph controls, the viewer can switch the horizontal axis between time and sample. In sample mode, the display is based on the original data logging rate from the recording. If preferred, the user can switch back to time-based viewing.
The tool also includes a smoothing control that applies a running average to the displayed data. At the lowest setting, such as 0, the graph appears more jagged or choppy. Increasing the smoothing value into the 20s makes the trace appear more refined. The effect depends on the update rate of the vehicle data or any connected external sensors, so users may need to experiment with the setting to find the level of smoothing that best matches the data they want to study.
A summary table appears on the right side of the interface to provide a snapshot of all recorded parameters at a specific point in the log. This is useful because users typically do not want to graph every single channel at once. Instead, they can click on a point in the graph and instantly see the values for all logged channels at that exact moment.
For example, clicking at 22 seconds updates the summary table to show the recorded values at 22 seconds. Clicking at 19 seconds updates the table again to reflect the 19-second mark. The table can include parameters such as ambient air density, manifold air density, and every other channel recorded on the microSD card. This makes the feature especially useful for examining snapshots in time and correlating multiple system values without cluttering the graph display.
The bottom-left controls allow the summary table itself to be customized. It can be hidden entirely to create more room for the graphs. If the user wants more descriptive labels, there is an option to show the full parameter names instead of abbreviations. That is helpful when a user does not immediately recognize shorthand labels such as IAT or IAD.
Additional controls allow the user to show or hide units, as well as minimum, maximum, and average values. These options let the viewer be tailored to the task at hand, whether the goal is a compact visual layout or a more detailed numerical summary.
The graphs are dynamic and support live interaction. Hovering over a graph reveals the actual data value at each time interval. Clicking and dragging allows the user to zoom into a selected section of the plot for closer inspection.
Zooming can be reversed by double-clicking to zoom back out, or by using the zoom controls located at the top right of the graph. The same interaction applies to the Y-axis, so users can zoom into a specific value range as well as a specific time range. A window zoom can also be performed by clicking and dragging across the desired area. If needed, the Auto Scale control quickly restores the graph to a full-scale view.
Once zoomed into a section, the pan cursor can be selected to move left or right along the X-axis. This makes it possible to inspect adjacent portions of the log without resetting the zoom level. After panning, the user can return to the normal zoom tool and continue navigating the data.
The viewer includes an export function for saving the current graph as an image. The graph can be downloaded as a PNG file, preserving the view currently shown on screen. This is useful for documentation, sharing results, or including plots in reports.
There is also an option to export with a white background. When that setting is enabled before saving the PNG, the result is a more printer-friendly image. This gives users a simple way to create either a standard on-screen graphic or a cleaner version intended for printed material.
Overall, Data Log Viewer is presented as a straightforward analysis environment for Banks iDash DataMonster logs and other compatible data files. Its workflow centers on uploading a log, selecting channels, adjusting graph count and smoothing, inspecting exact values through the summary table, navigating with zoom and pan tools, and exporting the final view as a PNG. Banks closes by identifying the site as datalogviewer.com and inviting user feedback on the tool.