A 6-minute explainer for Julia Mapping: A Practical Guide
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Do not go softly into that good R²
While ordinary least squares regression can be an unreasonably effective tool, it can pay dividends to dig deeper. The original chart shows a simple linear fit between AI subscription rates and private payroll changes, yielding a modest R² of 0.2111. However, running the diagnostic plots revealed a couple of
Without data janitors, algorithms are useless
The work of applied statistics and data science cannot begin until the difficult work of data cleaning has finished.
Most bad maps are the same bad map
Wow, would you look at that. All that economic output from just these five countries that don't even occupy the most area! This is a classic. Economic activity, like deaths and a host of other social and political aspects, is roughly proportional to population. Showing the raw numbers
Excel to Julia: The Rosetta Stone
For when your spreadsheet starts to crawl, but you still need to get the job done. 1. The Basics: Data as a Thing In Excel, the data and the logic live in the same cell. In Julia, we keep them separate for speed and sanity. * Workbook/Sheet ≅ DataFrame * Column ≅:Symbol