Abstract
As an engineer, I work with data all the time. I parse log files, analyze data, estimate values, and compare the results with theory. Things don’t always add up. So I double-check my analysis, perform more calculations, or run simulations to understand the results better. I refer to previous work because the ideas are similar or sometimes because they’re dissimilar. I look at the graphs and realize I’m missing some crucial information. So I add the missing data, but it’s noisy and needs filtering. Eventually, I realize my implementation of the algorithm is poor or that there is a better algorithm with better results, and so it’s back to square one. It’s an iterative process: tweak, test, and tweak again until I’m satisfied with the results.
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© 2014 Shai Vaingast
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Vaingast, S. (2014). Navigating the World of Data Visualization. In: Beginning Python Visualization. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0052-0_1
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DOI: https://doi.org/10.1007/978-1-4842-0052-0_1
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Publisher Name: Apress, Berkeley, CA
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Online ISBN: 978-1-4842-0052-0
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