Tutorials, use cases, and the latest updates
We have summarized a method for visualizing data frequency using bubble size. By dividing the area with grid spacing, organizing low frequency with minimum frequency, and emphasizing frequency differences with maximum bubble size, you can quickly understand which combinations are most common.
CAN data requires frame decoding (signal conversion) and the plotting of large time series, making it necessary to analyze it using dedicated tools such as CANalyzer. However, dedicated tools like CANalyzer are expensive and can be difficult to operate when reviewing data. With Echart, you can quickly visualize signal changes over time by simply specifying and importing the CAN log and DBC. In this article, we will explain the steps from loading ASC+DBC data to graph display in terms of on-screen operations.
We have summarized the steps to read INCA measurement data (equivalent to *.dat/MDF) on a PC that does not have MDA installed, select the format, specify time on the X axis and signal on the Y axis, and display the graph.
This video explains how to display 3D CSV data as 2D contours. It covers everything from switching the plot type to adjusting the plot settings for label display, boundary lines, colormap, number of steps, and transparency for a clearer view.
Echart is a data analysis software that allows you to easily create time series graphs by importing CSV or Excel data. This guide provides step-by-step instructions on how to use it, from importing data, selecting labels, setting graph styles, and plotting multiple data.