全景可视化：实时监控迁移状态与数据质量
This is easy to incrementalize, as changing a few letters in the input，更多细节参见Line官方版本下载
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While the raw data contains a lot of information (see my inferred data schema) with all the tax brackets and cantonal/municipal multipliers, it was still important to validate that calculations were roughly correct.
This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.