2014 20 large data visualization tools and materials

1. The SUMMARY

Brazil's news website, Visualoop, is a visualization site that brings together information graphs and data from the Internet, and this year they continue to identify the best big data visualization tool of the year.

"We're struggling to pick out these 20 new platforms or tools-if you're a loyal reader of our weekly data coverage, you might remember a few of our lists." "In this list they ignore new versions and updates to existing tools, such as Cartodb, Mapbox, Tableau, D3.js, RAW, infogr.am, and so on.

Below, is the 2014 year visualoop from their report to extract the 20 large visualization tools and information.

2. Tools:

1, introducing Visage | Column hep

The winner of this year's Sxswreleaseit, Visage, based on the web platform, in Columnfive, has turned mediocre data into a beautiful brand visualization in the report, making the information more compelling and making your job look high-end. Easy to use software can help you create high-quality, professional visualization, and accurate, efficient and elegant. "Later this year, we talked to Visage's CEO Jason Lankow about the successful operation of the tool and its future plans."

2. Introducing Landline Andstateline: Two tools for quickly drawing vector maps in a browser | ProPublica

As we said recently, this is a ProPublica year. In the new tool "front", their contribution is to use the form of landline. This is an open source JavaScript library that converts Geojson data into a browser-based SVG-formatted map. Stateline is based on landline to create regional maps of states and counties. The complete document is on the GitHub.

3, Yby: The new step of Citizen Report | O Ecolab

It's nice to see our friend Oecolab company launch this latest project in 2014. Yby is a software that focuses on pushing companies to build their own crowdsourcing platforms. Basically this is a collaborative map platform where users can draw points, polygons, and regions. All source code is open source and can be used effectively on GitHub. The development team is eager to get feedback from users, please try it.

4, El mirador| Fathom

Mirador is a visualization tool that provides a large database to identify groups that interpret variables by visualizing the basic structure. The best way to get started is to read its manual, and after downloading the app from the Web page, open one of the examples to personally manipulate it.

5, plotly:for Pixel Perfect Sponsor | Visual.ly Blog

Plotly is another app for free data analysis and charting, built on D3.js. If you don't have encoders, but want flexibility and richness, d3.js a good choice. The plotly diagram can be downloaded as a svg,eps or PNG format and simply imported into illustrator or Photoshop.

6, Visits: Positioning history and photo visualization Tools | Visualisingdata

In this article, Andy Kirk discusses visits, a new visualization tool created by Alicethudt, Sheelagh Carpendale and Dominikus Baur, to explore your travel footprint by browsing through your location history. The tool is based on a research project at the University of Calgary. You can find the appropriate release here. Http://innovis.cpsc.ucalgary.ca/innovis/uploads/Publications/Publications/visits.pdf

7. Odyssey.js: Open source tools for storytelling | Cartodb

We generally try to avoid talking to companies about their products, but when Cartodb presents odyssey.js this open source library, allowing journalists, designers and creators to weave stories on the web, interactive maps based narratives begin to appear. The user will be clear about everything by switching geographically. The development of this free tool is credited to the support of John S. and James L. Knight Foundation.

8, Wolfram programming Cloud is live| Wolfram

In celebration of the Mathematica26 anniversary of Wolfram Research, the computing-type knowledge Engine company launched the wolframprogramming cloud new product. This new Wolfram language product sequence is designed specifically to allow users to create and deploy cloud-based programs.

9, Data Visual

"Our mission is to make the data visible to everyone." In our simple user interface, we make it easy for individuals and organizations to create and share beautiful visualizations. "This is an introduction to this data visualization tool, which became the first company to join the journal Innovation Lab in the early stages." You can learn about the power of this tool in the video below.

10, Dimple

The Dimpleapi interface is used for business analysis on D3, and the Dimple API can help analysts develop powerful data visualization without having to understand too much technical content. The purpose of dimple is to exploit the power and flexibility of D3 in analysis. Dimple enables anyone to develop stunning three-dimensional graphic effects so you can use them and run to create something really cool.

11, Turn JS projects into the data products anyone can use | Blockspring

Blockspring is a product that can be visualized from ' blocks ', allowing you to build from your team and from engineers around the world. In addition to the side bulletin there is a detailed tutorial on how to use it, and blockspring offers you more than just visualization.

3. Introduction to Tools:

Resource

1. The Datavisualisation Catalogue

The time we began to focus on it was not long, and the data visualization catalog is the ongoing project currently being developed by Severino Ribecca, one of the great new resources for those who just entered the visualization. If you have any suggestions for it, especially in helping you find the right data visualization method to meet your needs, you can go to Severino's advice page.

2. The Datavisualisation Catalogue

It is worth mentioning in this report, Severino and Jon Schwabish collaborated on the development of Thegraphic Continuum poster collaboration, which we emphasized in http://visualoop.com/28897/ The-ultimate-gift-list-for-the-data-viz-geek-part-1 and Http://visualoop.com/29183/the-graphic-continuum.

3, Mobileinfovis | Sebastian Sadowski

One of the designers, Sebastiansadowski, comes from apps and Web sites that do visual galleries on mobile devices, while another mobilevis is developed by Bocoup, and we've experienced it in this once using a visual gallery bookmark feature.

4, Reference page for trifecta Checkup | Junk Sponsor

This is a good resource developed by Kaiserfung, trifecta checkup is the overall framework for data visualization evaluation, and he puts all the data visualization comments into eight categories. When Fung released the product, we had already reported it, but now he offers "authoritative guidelines" that make it easier to understand how it works and how to use it when analyzing various data visualizations.

5, six principles of data communication: a Checklist | Dataremixed

In the first chapter of data communication and tableau (O ' Reilly publishes, 2014), Ben outlines six principles of communication data. Now, he puts these six principles into a simple checklist that anyone can use to remind them of all the important elements of a successful communication outcome.

6. This is Statistics

The American Statistical Association is established by the statistics is an information website that will organize national public relations activities on August 19. The goal of the campaign is to introduce diversity among high school and undergraduate students to provide them with popular career opportunities in the field of data generation. The site as a platform will enhance students ' opportunities in the field of data and educate them about the importance of statistical literacy.

7, Newsvis

Newsvis, a Web site launched by Robert Kosara, has three main goals: "Some of the reports are on the surface but not as visible as the New York Times and The Washington Post; we let them search the charts, not just the text, and visualize the inspirational people." ”

8, Data Vizdone right

It was created by Vizwiz Andy Kriebel because it was just created so it was a very late resource to enter the list, besides, he was the only one who chose to OGF for the blog. The reason is very simple, in addition to the BES of the Web page for data visualization of the comprehensive processing, Andy pointed out that he likes what, will improve what. When we look at it again, we find that a simple detail can result in a completely different outcome, whether you're a data expert or a producer of data effects.

From: Visualoop Translation: Data guest

(Responsible editor: Mengyishan)