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Dave Johnson
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In this article, I explore how to visualize sensor data using Node.js on a Raspberry Pi, moving beyond simple console outputs to create both terminal-based ASCII plots and graphical visualizations. The tutorial guides readers through setting up a CPU load sensor, installing necessary packages like feedgnuplot, and creating scripts to generate real-time plots. By executing commands in the terminal, users can observe CPU load changes visually, enhancing their understanding of data visualization in IoT applications. Future tutorials will expand on these concepts, including web-based visualization methods.