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By charting the location and frequency of every shot in the NBA, Kirk Goldsberry can create a map of the strengths and weaknesses of each player’s offensive game. Editor's note: With the start of Olympic basketball medal rounds, WIRED is reprising this feature about how Kirk Goldsberry's obsession with basketball with statistics is changing pro hoops. As a kid, Kirk Goldsberry was a rabid basketba
Brand-new v4.0Rendering ability for ten-million-level data Supports both SVG and Canvas rendering Seperates data and style configuring Accessibility supports Wechart and Powerpoint supports Multi-dimension data analysisBrush data for detailDig more out of data Multi-chart interactionAnalysis the relationship between multiple charts
A visual introduction to machine learning—Part II Model Tuning and the Bias-Variance Tradeoff The goal of modeling is to approximate real-life situations by identifying and encoding patterns in data. Models make mistakes if those patterns are overly simple or overly complex. In Part 1, we created a model that distinguishes homes in San Francisco from those in New York. Now, we'll talk about tuning
Ad blockers, which Apple first allowed on the iPhone in September, promise to conserve data and make websites load faster. But how much of your mobile data comes from advertising? We measured the mix of advertising and editorial on the mobile home pages of the top 50 news websites – including ours – and found that more than half of all data came from ads and other content filtered by ad blockers.
I am a big fan of examples. Not a surprise, right? If you follow me on Twitter, or my projects over the last few years (or asked D3 questions on Stack Overflow), you’ve likely seen some of my example visualizations, maps and explanations. I use examples so often that I created bl.ocks.org to make it easier for me to share them. It lets you quickly post code and share examples with a short URL. You
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