JSON Crack | Transform your data into interactive graphs
Explore Your Data VisuallyAll in one tool for JSON, YAML, CSV, XML, and TOML. Formatter, validator, visualizer, and editor. VisualizerTransform your data into interactive graphs or trees as you type. Supports JSON, YAML, CSV, XML, and TOML. ConvertConvert JSON to CSV, YAML to JSON, XML to JSON, and more. Our JSON converter supports multiple formats for easy data exchange.
PLATEAU [プラトー] | 国土交通çœãŒä¸»å°Žã™ã‚‹ã€æ—¥æœ¬å…¨å›½ã®3D都市モデルã®æ•´å‚™ãƒ»ã‚ªãƒ¼ãƒ—ンデータ化プãƒã‚¸ã‚§ã‚¯ãƒˆ
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Light pollution map
The light pollution map has two base layers (road and hybrid Bing maps), VIIRS/World Atlas/Clouds/Aurora overlays and a point feature overlay (SQM, SQC and Observatories). If you want detailed analysis of radiance (VIIRS/DMSP) changes over a period of time, then please use the Lighttrends web application (not mobile optimised). For more information view the help. Send comments about the app and re
巨大地震ã®ãã£ã‹ã‘ã¯æœˆãªã®ã‹ï¼Ÿ->月ã£ã½ã„ - Qiita
0. Abstract 巨大地震（M>8ã®ã‚‚ã®ï¼‰ã¯å¤šãã®å ´åˆã€æœˆã«ã‚ˆã‚‹æ½®æ±å¿œåŠ›ã«ã‚ˆã‚‹åœ°çƒã®å¤‰å½¢ãŒã€ç™ºç”Ÿã®ãƒˆãƒªã‚¬ã¨ãªã£ã¦ã„るらã—ã„ éŽåŽ»ã«ç™ºç”Ÿã—ãŸåœ°éœ‡ã‚’ã€çµ±è¨ˆçš„ã«æ‰±ã£ã¦æ½®æ±ã¨ã®é–¢é€£ã‚’è°è«–ã—ãŸè«–文もã„ãã¤ã‹ã‚ã£ãŸ ã—ã‹ã—ã€å½“然ã¨ã„ãˆã°å½“然ãªã®ã ãŒã€Tidal Phase Angleã«ã¤ã„ã¦è°è«–ã—ã¦ã„ã¦ã‚‚ã€Lunar Ageã‚„Lunar Phaseを明確ã«ç¤ºã—ãŸã‚‚ã®ã¯è¦‹ã¤ã‹ã‚‰ãªã‹ã£ãŸ Tidal Phase Angleã¯ã€Lunar Ageã¨ã»ã¼åŒã˜ã‚ˆã†ãªæŒ¯ã‚‹ã¾ã„ã¨ãªã‚‹ã®ã§ã€å½“然ã¨ã„ãˆã°å½“然㋠一般人ãŒè‡ªåˆ†ã§Tidal Phase Angleを計算ã§ãã‚‹ã¨ã¯åˆ°åº•æ€ãˆãªã„ ã—ã‹ã—ã€æœˆã¨å¤ªé™½ã®ä½ç½®ãªã‚‰è‡ªåˆ†ã§è¦‹ã‚Œã°ã‚ã‹ã‚‹ ãªã®ã§ã€Lunar Ageã¨Earthquakeã®ç™ºç”ŸçŠ¶æ³ã‚’å¯è¦–化ã—㟠1. Introduction ã“ã®è¨˜äº‹ã¯ã€éŽåŽ»ã®åœ°éœ‡ãŒçµ±è¨ˆçš„ã«ã©ã®ã‚ˆã†ãª 月ã®ä½ç½®ã¨ä½ç›¸ã®æ™‚ã«ç™ºç”Ÿã—ãŸã®ã‹
Uber社ã®å…¨éƒ¨ç››ã‚Šãƒ‡ãƒ¼ã‚¿å¯è¦–化ツールスイート「Vis.glã€ä¸€è¦§
Vis.gl – Uber Vis Team Uber社ãŒã‚ªãƒ¼ãƒ—ンソースã¨ã—ã¦å…¬é–‹ã—ã¦ã„ã‚‹å¯è¦–化ツールã§ã¯ã€Œdeck.glã€ãŒæœ‰åã§ã™ãŒã€ä»–ã«ã‚‚Uber社ã®æŒã¤å·¨å¤§ãªãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã‚’分æžã™ã‚‹ãŸã‚ã«ä½œæˆã•ã‚ŒãŸã•ã¾ã–ã¾ãªãƒ‡ãƒ¼ã‚¿å¯è¦–化ツールãŒã‚ªãƒ¼ãƒ—ンソースã¨ã—ã¦å…¬é–‹ã•ã‚Œã¦ã„ã¾ã™ã€‚「Vis.glã€ã¯ãれらUber社ãŒä½œæˆã—公開ã—ã¦ã„ã‚‹å¯è¦–化ツールをã¾ã¨ã‚ãŸå‘¼ã³åã§ã€ç¾åœ¨ã§ã¯11点ã»ã©ã®ãƒ‡ãƒ¼ã‚¿å¯è¦–化ã«æœ‰ç”¨ãªãƒ„ールãŒå…¬é–‹ã•ã‚Œã¦ãŠã‚Šä»ŠãªãŠå¢—ãˆç¶šã‘ã¦ã„ã¾ã™ã€‚ ã“ã“ã§ã¯ã€ã€ŒVis.glã€ã‚¹ã‚¤ãƒ¼ãƒˆã¨ã—ã¦å…¬é–‹ã•ã‚Œã¦ã„るツールを一通りã–ã£ã¨ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚（一部ã€Vis.gl以外ã§Uber社ãŒå…¬é–‹ã—ã¦ã„るツールもå«ã‚“ã§ã„ã¾ã™ï¼‰ ■データビジュアライゼーションフレームワーク ・deck.gl WebGLを用ã„ã¦å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã‚’å¯è¦–化ã™ã‚‹ã“ã¨ã«é•·ã‘ãŸãƒ•ãƒ¬ãƒ¼ãƒ ワーク。 レイヤーベースã®ã‚³ãƒ³ãƒãƒ¼ãƒãƒ³ãƒˆã¨ã—ã¦ä½œã‚‰ã‚Œã¦ã„ã¦
SkyNet, RealTime Japanese Sky Traffic Visualization.
About SkyNet is a project to visualize aviation information in Japan. Based on the flight schedule obtained in real time, we simulate the current Japanese sky situation. SkyNetã¯æ—¥æœ¬ã«ãŠã‘ã‚‹èˆªç©ºæƒ…å ±ã‚’è¦–è¦šåŒ–ã™ã‚‹ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã§ã™ã€‚リアルタイムã«å–å¾—ã—ãŸãƒ•ãƒ©ã‚¤ãƒˆã‚¹ã‚±ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’ã‚‚ã¨ã«ã€ã‚¢ã‚¯ã‚»ã‚¹æ™‚点ã§ã®æ—¥æœ¬ä¸Šç©ºã‚’シミュレートã—ã¦ã„ã¾ã™ã€‚ Time Scale Reset ResetTime Works Cited æ±äº¬å…¬å…±äº¤é€šã‚ªãƒ¼ãƒ—ンデータãƒãƒ£ãƒ¬ãƒ³ã‚¸ 国土交通çœå›½åœŸæ”¿ç–å±€ã€Œå›½åœŸæ•°å€¤æƒ…å ±ï¼ˆæµ·å²¸ç·šãƒ‡ãƒ¼ã‚¿ï¼‰ã€
Dash Enterprise: The Premier Data App Platform for Python
Dash apps give a point-&-click interface to models written in Python, vastly expanding the notion of what's possible in a traditional "dashboard." With Dash apps, data scientists and engineers put complex Python analytics in the hands of business decision-makers and operators. When building Dash apps in a business setting, you'll need Dash Enterprise to deploy and scale them, plus integrate them w
IVIS: Interactive VISualisation of your data |Â IVIS
IVIS is an open-source chart editor for interactive visualisation. It uses jQuery and HighCharts as the backbone. It works purely on the client side, and all data will be processed locally only. Project Homepage: https://github.com/zglu/ivis Make Your Own Interactive Chart You can generate various types of intreactive charts using IVIS with your own data: Dot / Scatter plot: X as names and Y holdi
IoTã®ãƒã‚«ãƒ©ã§ç¤¾å“¡ã‚’ストーã‚ングã—ã¦ã¿ãŸçµæžœã€æ¥å‹™åŠ¹çŽ‡ã«ç¹‹ãŒã‚‹ä½•ã‹ãŒè¦‹ãˆã¦ããŸè©± - サーãƒãƒ¼ãƒ¯ãƒ¼ã‚¯ã‚¹ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒ–ãƒã‚°
ã¿ãªã•ã‚“ã“ã‚“ã«ã¡ã¯ï¼ サーãƒãƒ¼ãƒ¯ãƒ¼ã‚¯ã‚¹ã®IoT担当ã®ä¸æ‘ã§ã™ã€‚ 今回ã®è¨˜äº‹ã‚‚IoT関連ã®è¨˜äº‹ã§ã™ã€‚タイトルãŒã¡ã‚‡ã£ã¨ã‚¢ãƒ¬ã§ã™ãŒã€ã‚ªãƒ•ã‚£ã‚¹ã§ã®åƒãæ–¹ã«ã¤ã„ã¦ã®ãŠè©±ã§ã™ã€‚サーãƒãƒ¼ãƒ¯ãƒ¼ã‚¯ã‚¹ã®æ±äº¬ã‚ªãƒ•ã‚£ã‚¹ã¯ä»•äº‹ã®åŠ¹çŽ‡ã‚’上ã’ã‚‹ãŸã‚ã«ã€æ§˜ã€…ãªå·¥å¤«ãŒå‡ã‚‰ã•ã‚Œã¦ã„ã¾ã™ã€‚ãã“ã§ã€ã€Œå®Ÿéš›ã®æ‰€ã©ã†ãªã®ã‹ã€ã¨æ€ã£ãŸç§ãŒç¤¾å“¡ã®å‹•å‘をトラッã‚ングã—ãŸçµæžœã€åŠ¹çŽ‡ã«ç¹‹ãŒã‚‹ä½•ã‹ãŒè¦‹ãˆã¦ããŸã€ã¨ã„ã†è©±ã§ã™ã€‚ 話ã¯é¡ã‚Šã€2015å¹´ã®æ±äº¬ã‚ªãƒ•ã‚£ã‚¹ç§»è»¢ã®è©±ã‹ã‚‰å§‹ã¾ã‚Šã¾ã™ã€‚少々å‰ç½®ããŒé•·ãæ縮ã§ã™ãŒã€ã—ã°ã—ãŠä»˜ãåˆã„ãã ã•ã„。 ※å‰ç½®ãを飛ã°ã—ã¦æœ¬é¡Œã‹ã‚‰èªã‚€æ–¹ã¯ã‚³ãƒãƒ© オフィス移転プãƒã‚¸ã‚§ã‚¯ãƒˆ サーãƒãƒ¼ãƒ¯ãƒ¼ã‚¯ã‚¹ã®æ±äº¬ã‚ªãƒ•ã‚£ã‚¹ã¯ã€2015å¹´3月末ã«æ±Ÿæˆ¸å·æ©‹ã‹ã‚‰é£¯ç”°æ©‹ã«ç§»è»¢ã—ã¾ã—ãŸã€‚引ã£è¶Šã—ã®éš›ã«ã¯æ–°ã—ã„オフィスã®ãƒ‡ã‚¶ã‚¤ãƒ³ã‚„レイアウトã«é–¢ã‚ã‚ŠãŸã„人ãŸã¡ãŒã‚¿ã‚¹ã‚¯ãƒ•ã‚©ãƒ¼ã‚¹(特定ã®èª²é¡Œã«å–り組むãŸã‚ã®ãƒãƒ¼ãƒ )を組ã¿ã€çµæžœçš„ã«ç´ 晴らã—ã„オフィス
Mapping grid-based statistics using OpenLayers, Three.js and D3.js
Mapping grid-based statistics using OpenLayers, Three.js and D3.js I've just finalised two tutorials on mapping grid-based statistics. The tutorials are in Norwegian, but the source code is available in English, and should be easy to follow. Tutorial 1: "Grid-based population data" Mapping grid-based population data of Oslo, Norway, using OpenLayers 3 and D3.js. The user can select an area to see
Red Blob Games: Hexagonal Grids
Mar 2013, updated in Mar 2015, Apr 2018, Feb 2019, May 2020, Oct 2021 This guide will cover various ways to make hexagonal grids, the relationships between different approaches, and common formulas and algorithms. I've been collecting hex grid resources[1] for over 25 years. I wrote this guide to the most elegant approaches that lead to the simplest code, starting from the guides by Charles Fu[2]
データビジュアライゼーションã®ä½œã‚Šæ–¹
主ãªãŠä»•äº‹ 日経:Visual Data 本日ã®ç›®éŒ² VDataコンテンツã®ä½œã‚Šæ–¹ D3.js ãƒãƒƒãƒ‰ãƒŽã‚¦ãƒã‚¦é›† Z-indexãŒåŠ¹ã‹ãªã„å•é¡Œ Pathã®ãƒˆãƒ©ãƒ³ã‚¸ã‚·ãƒ§ãƒ³ 折り返ã•ãªã„å•é¡Œ svgã‚’pngã«å¤‰æ›(ã¤ã‚‰ã„) VDataコンテンツã®ä½œã‚Šæ–¹ 制作フãƒãƒ¼ ä¼ç”»ç™ºæ¡ˆï¼ˆè¨˜è€…より） データåŽé›†ãƒ»åˆ†æžãƒ»æ•´å½¢ デザイン案やモックを作ã£ã¦æ‰“ã¡åˆã‚㛠デザイン決定 実装 宣ä¼ç”¨ã®ç´ æç‰ä½œæˆ (SNSã«æµã™ç”¨ã®ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚¹ã‚„å‹•ç”»ãªã©) 作æˆãƒãƒ¼ãƒ ï¼°ï¼ï¼‘人 デザイナー３人 エンジニア２人 ２ライン(デザイナー１ã€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ï¼‘) 作æˆæœŸé–“（２週間〜４週間）ã€é€Ÿå ±(６時間) 一点物ãŒå¤šã„ ã“れらã®æ¡ä»¶ã‚’è¸ã¾ãˆã€æ—¥çµŒãƒ“ジュアルデータã§ã¯D3.jsã¨ã„ã†ãƒ©ã‚¤ãƒ–ラリを採用ã—ã¦ã„ã¾ã™ã€‚ D3.js データビジュアライゼーションライブラリ 特徴 Data-Driven Document デファクトスタンダード
deck.gl
deck.gl is a WebGL-powered framework for visual exploratory data analysis of large datasets.
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GitHub - nagix/mini-tokyo-3d: A real-time 3D digital map of Tokyo's public transport system
https://airbnb.io/visx/
Examples
https://jp.techcrunch.com/2017/04/07/20170406ubers-open-source-data-visualization-tool-now-goes-beyond-maps/
Sebastian Meier | Visualizing large spatial time series data on mobile devices
TechCrunch | Startup and Technology News
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