{"version":"1.0","type":"rich","title":"Anscombe's Quartet with simple-statistics and d3js v4 -","description":"Anscombe's Quartet is visualized as four separate scatterplots, each displaying a series of 11 data points loaded from a CSV file. The charts share identical axes, scales, and styling—pink circles on a cream background—and each is labeled Series 1 through 4. Using the simple-statistics library, the same summary statistics (mean, sample variance, and correlation coefficient) are calculated for every series and printed beneath each plot, showing nearly identical values. The d3.js v4 code also fits and draws a light-blue regression line per plot, emphasizing how the four datasets, though statistically similar, have very different graphical structures. The example is implemented entirely in SVG, with no animation, and demonstrates the importance of visualizing data before relying on descriptive statistics.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-4a863fed88f346e89921454dae3ab8f9?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}