background preloader


Facebook Twitter

Tad - A Desktop Viewer App for Tabular Data. Bl.ock Builder. Unified ASAT Visualizer. Download UAV!

Unified ASAT Visualizer

UAV Video Demo UAV Source Code. IEEE Software Blog: The Unified ASAT Visualizer (UAV), a tool for comparing multiple ASATs on your Java projects. Authors: Moritz Beller (@Inventitech), Andy Zaidman (@azaidman), Tim Buckers, Clinton Cao, Michiel Doesburg, Boning Gong, Sunwei Wang Editors: Nikolaos Tsantalis (@NikosTsantalis), Mei Nagappan (@meinagappan) TL;DR: You want to compare whether using multiple Automated Static Analysis Tools (ASATs) makes sense for your projects, say whether the additional warnings of using Checkstyle on top of FindBugs are worth the increased maintenance costs.

IEEE Software Blog: The Unified ASAT Visualizer (UAV), a tool for comparing multiple ASATs on your Java projects

We have implemented a prototypical tool to visualize this in an intuitive manner, called UAV. Extreme Presentation Tools - Extreme Presentation. We’ve consolidated all the most useful tools from the Extreme Presentation method here.

Extreme Presentation Tools - Extreme Presentation

Feel free to contact us and let us know if there is anything you would like us to add. The tools are below. In each case, click on the link below the image, not on the image itself. Dli (David Li) Introducing Vega-Lite – HCI & Design at UW – Medium. Provide sensible defaults, but allow customization.

Introducing Vega-Lite – HCI & Design at UW – Medium

Vega-Lite’s compiler automatically chooses default properties of a visualization based on a set of carefully designed rules. However, one can specify additional properties to customize the visualization. For example, the stacked bar chart on the left has a custom color palette. Vega-Lite uses a concise syntax, enabling rapid creation of visualizations without unduly restricting subsequent customization.

Support programmatic generation, sharing, and reuse. Leverage Vega’s performance, flexibility across platforms, and expressivity. Vega-Lite. Vega-Lite is a high-level visualization grammar.


It provides a concise JSON syntax for supporting rapid generation of visualizations to support analysis. Vega-Lite specifications can be compiled to Vega specifications. Vega-Lite specifications describe visualizations as mappings from data to properties of graphical marks (e.g., points or bars). It automatically produces visualization components including axes, legends, and scales.

Embedding.js. BigGorilla. D3. d3 Tutorial. d3 Tutorial. First Part by Kanit "Ham" Wongsuphasawat Interactive Data Lab, University of Washington @kanitw / (Based on Vadim Ogievetsky and Scott Murray's work) Outline.

d3 Tutorial

Technology Fundamental for d3. Cascading Stylesheet CSS Selectors Query the DOM Tree See also: CSS Properties – Webmonkey and CSS Selectors on NetTuts CSS: Box Model, Position.

Technology Fundamental for d3

Vis.js - A dynamic, browser based visualization library. Cambridge Intelligence - Understand your Connected Data. GitHub - ft-interactive/chart-doctor: Sample files to accompany the FT's Chart Doctor column. Data Management Reimagined. Feature Labs. FT Interactive News. GitHub - ft-interactive/visual-vocabulary: Small examples of data driven graphics. Financial Times. Data Scientist Workbench. Elex 2.0.9 — elex 2.0.9 documentation. Carebot – Meaningful analytics for journalism. KeyLines Network Visualization Software. Bookworm. Three.js - Javascript 3D library.

Web Crawling Platform & Services. Twine / An open-source tool for telling interactive, nonlinear stories. Thinkmap Visual Thesaurus - An online thesaurus and dictionary of over 145,000 words that you explore using an interactive map. Blazegraph Download - Graph Database & Application Download. BigBench: Toward An Industry-Standard Benchmark for Big Data Analytics - Cloudera Engineering Blog. Learn about BigBench, the new industrywide effort to create a sorely needed Big Data benchmark.

BigBench: Toward An Industry-Standard Benchmark for Big Data Analytics - Cloudera Engineering Blog

Benchmarking Big Data systems is an open problem. To address this concern, numerous hardware and software vendors are working together to create a comprehensive end-to-end big data benchmark suite called BigBench. BigBench builds upon and borrows elements from existing benchmarking efforts in the Big Data space (such as YCSB, TPC-xHS, GridMix, PigMix, HiBench, Big Data Benchmark, and TPC-DS). Intel and Cloudera, along with other industry partners, are working to define and implement extensions to BigBench 1.0. Jumbune - Optimize Hadoop Solutions. GitHub - intel-hadoop/Big-Data-Benchmark-for-Big-Bench: Big Bench Workload Development. 5 Enterprise Alternatives to Hadoop -Big Data Analytics News. Hadoop’s progression from a large scale, batch oriented analytics tool to an ecosystem full of vendors, applications, tools and services has coincided with the rise of the big data market.

5 Enterprise Alternatives to Hadoop -Big Data Analytics News

While Hadoop has become almost synonymous with the market in which it operates, it is not the only option. Hadoop is well suited to very large scale data analysis, which is one of the reasons why companies such as Barclays, Facebook, eBay and more are using it. Although it has found success, Hadoop has had its critics as something that isn’t well suited to the smaller jobs and is overly complex. Here are the five Hadoop alternatives that may better suit your business needs Pachyderm Pachyderm, put simply, is designed to let users store and analyse data using containers.

Data Journalism Tools Part 1: Extracting and... - Silk. This post on extracting data from a website is the first in a 3-part series on extracting, cleaning and enhancing data.

Data Journalism Tools Part 1: Extracting and... - Silk

Some sites already have their data in a neat table, allowing you to easily copy and paste it into a spreadsheet. Wikipedia is a good example of this. Others offer their data for download in a spreadsheet format. However, it’s not always that easy. If you come across a website with structured information that isn’t downloadable or organized in a table, you might have to turn to specialized tools to extract your data. And the best part? is an amazing tool that lets you extract data from any relatively structured website. In the sweet case that no clean up is necessary and you want to build a Silk, you can even skip that last step.

Your Browser’s Developer Tools Sometimes, when you can’t copy data over from the web page itself, you can actually copy it from the HTML source. The ‘Source’ tab shows you the page’s source. Your Friendly Guide to Colors in Data Visualisation · Lisa Charlotte Rost. 22 Apr 2016 A few days ago, I approached my Twitter followers with a request to help me in an urgent matter: “Can somebody tell me how to get better with color?

,” I wrote. “ My color decisions are awful.” Interactive Data Visualization using Bokeh (in Python) Introduction Recently, I was going through a video from SciPy 2015 conference, “Building Python Data Apps with Blaze and Bokeh“, recently held at Austin, Texas, USA. I couldn’t stop thinking about the power these two libraries provide to data scientists using Python across the globe. In this article, I will introduce you to the world of possibilities in data visualization using Bokeh and why I think this is a must learn / use library for every data scientist out there. Source: What is Bokeh?

10 tools and platforms for data preparation. Guest blog post by Zygimantas Jacikevicius Traditional approaches to enterprise reporting, analysis and Business Intelligence such as Data Warehousing, upfront modelling and ETL have given way to new, more agile tools and ideas. Within this landscape Data Preparation tools have become very popular for good reason. Data preparation has traditionally been a very manual task and consumed the bulk of most data project’s time. Profiling data, standardising it and transforming it has traditionally been very manual and error prone. The Guide to Learning Python for Data Science. Guest blog post by Martijn Theuwissen, co-founder at DataCamp.Other Python resources can be found here. Python is widely used for data analysis and you might have considered learning it yourself (if not, or if you’re still looking for that bit of extra motivation to get started, see why you should be learning Python below).

Of course, learning on your own can be a challenge and some guidance is always helpful. Guidance to learn Python for working with data is exactly what this article will provide you with. We will discuss steps you should take for learning Python accompanied with some essential resources, such as the free Python for Data Analysis courses and tutorials from DataCamp as well as reading and learning materials. Work. Open Data Kit » Use. To use ODK, you need to do three things -- design a form, setup a server, and connect the device to that server.

Once those three things are done, you'll be ready to start data collection. You'll need three tools: Build or XLSForm -- to design your survey form.Collect -- running on an Android device to download and fill-in the survey.Aggregate -- for hosting the survey form and gathering the survey results. Alternatively, Briefcase can be used to gather the survey results (but you'll need to manually place the survey form onto the Android device). If any of this sounds complicated, we promise it's not! Investigation, Cybersecurity, Information Governance and eDiscovery Software. Predictive Analytics Software For Customer Attrition. Customers buy from companies because of their products, but often leave them because of their service. Kyvos Insights – Big Data Analytics. Popular Blocks - European Data Portal · GitLab. Jigsaw.

ColorBrewer: Color Advice for Maps. Moment.js. Popular Blocks - Continuum. Poemage. Poemage. GitHub - mwysis/StatistikiMePython. Iros (Irene Ros) D3.js - Data-Driven Documents. Lyra: An Interactive Visualization Design Environment. React and Vega: An Alternative Visualization Example. The End Result The code used here will create two different react components, a line chart and a radial heat map using Vega, and use Redux to enable linked highlighting between the two charts when interacting with a single one, as demonstrated below: A JavaScript library for building user interfaces.

Vega: A Visualization Grammar. Iris. Paul Ford: What is Code?