Observable | The modern data visualization platform | Observable
Discover the all-in-one platform for data analysis, visualization, and cross-functional collaboration. One platform purpose-built for visualizing data and insightsCanvasesAI-powered collaborative whiteboard for data teams and stakeholdersNotebooksCode-centric visualization tool for developersOpen-sourceThe open ecosystem for building, sharing, and advancing data visualization
TopoJSON v2, v3ã®ä½¿ã„æ–¹ -コマンドライン編- - Qiita
2016年末ã«TopoJSON v2ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã€shpファイルやGeoJSONファイルをTopoJSONã«å¤‰æ›ã™ã‚‹æ–¹æ³•ãŒå¤‰ã‚ã£ãŸãŸã‚メモã¨ã—ã¦è¨˜ã—ã¾ã™ã€‚ ※2017å¹´4月12日追記 2017å¹´4月ã«TopoJSON v3ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸã€‚コマンドラインã«é–¢ã—ã¦ã¯v2ã¨v3ã§å·®ç•°ã¯ãªã„ã®ã§è¨˜äº‹ã‚¿ã‚¤ãƒˆãƒ«ã‚’「TopoJSON v2ã®ä½¿ã„æ–¹ -コマンドライン編-ã€ã‹ã‚‰ã€ŒTopoJSON v2, v3ã®ä½¿ã„æ–¹ -コマンドライン編-ã€ã¨å¤‰æ›´ã—ã¾ã—ãŸã€‚ æ¦‚è¦ TopoJSON v1ã®ã‚³ãƒžãƒ³ãƒ‰ãƒ©ã‚¤ãƒ³ã§ã¯topojsonã¨ã„ã†ã‚³ãƒžãƒ³ãƒ‰ã®ã¿ã§æ§‹æˆã•ã‚Œã¦ã„ã¾ã—ãŸãŒã€v2ã§ã¯ã“ã‚ŒãŒgeo2topoã€toposimplifyã€topo2geoã€topomergeã€topoquantizeã«åˆ†å‰²ã•ã‚Œã¦ã„ã¾ã™ã€‚ TopoJSONã¨ã¯ TopoJSONã¨ã¯d3.jsã®ä½œè€…Mike Bostockæ°ãŒä½œæˆã—ãŸGeo
VisualComplexity - VISUAL COMPLEXITY
Visual Complexity A design-first view of complex diagrams: clear structure, disciplined encodings, and honest labels. Form follows mechanism — not the other way around. Question → Layout Choose the layout that fits the mechanism: tree for hierarchy, matrix for dense ties, flow for process, radial for cycles. Encodings that Read Prefer position/length over angle/area. Use color sparingly and always
A visual introduction to machine learning
: In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. Keep scrolling. Using a data set about homes, we will create a machine learning model to distinguish homes in New York from homes in San Francisco. First, some intuition Let’s say you had to determine whether a home is
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