Treasure Data Platform で始めるデータ分析入門 〜8. Data Visualization Patterns 〜 Part.1 - doryokujin's blog
Treasure Data Intro for Data Enthusiast!! from Takahiro Inoue 本シリーズではデータ分析を以下の7つのレイヤーに分解し，各々について解説していくものとします。（Slide Shareの資料は常時更新されます。） Data Collection Data Storage Data Management Data Processing Data Processing Design Part.1 Part.2 Part.3 Part.4 Part.5 Part.6 Data Visualization Treasure Viewer, MetricInsights, Tableau Data Visualization Patterns Part.1 Part.2 Part.3 本日は「7. Data Visulizations」の全
Datavisualization.ch Selected Tools
GeoCommons A public community and set of tools to access, visualize and analyze data with compelling map visualizations. http://geocommons.com GeoCommons Type: Web Application & API Technology: JavaScript, Ruby License: Various Links Website API Documentation GitHub User Google Fusion Tables A web application that makes it easy to host, manage, collaborate on, visualize, and publish data tables. h
{elliot.js} - Near real time graphing
Welcome to {elliot.js} {elliot.js} was created to fill a need for graphing near real time events in various web projects. It has been used to produce graphs for log analytics, customer actions, monitoring and similar services. Special requirements? {elliot.js} is highly configurable. You can easily change background colors, bar sizes, colors, fonts, update frequenzy etc. Have a look at our example
CourseWiki - CS 448B
The world is awash with increasing amounts of data, and we must keep afloat with our relatively constant perceptual and cognitive abilities. Visualization provides one means of combating information overload, as a well-designed visual encoding can supplant cognitive calculations with simpler perceptual inferences and improve comprehension, memory, and decision making. Furthermore, visual represent
Cube
Time Series Data Collection & Analysis Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub. Collecting Data An event in
Performance Visualization for Parallel Programs
Viewers Over the years, many viewers have been developed for postmortem performance visualization. The following list has all the viewers arranged in the reverse chronological order of when they were being developed. Jumpshot Jumpshot is a Java-based visualization tool for doing postmortem performance analysis. Using Java instead of Tcl/Tk (that was used in some of the older visualization tools) i
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Hoshi-mi | A Heroku friendly visualization tool
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