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Visualization Tools

Visualization Tools

Related:  Data Visualization & Infographicsoutils datavizBusiness Information DesignTools

Big Data Visualization: Review of the 20 Best Tools Big Data is amazing. It describes our everyday behavior, keeps track of the places we go, stores what we like to do and how much time we spend doing our favorite activities. Big Data is made of numbers, and I think we all agree when we say: All That Glitters Is Not Gold: A Common Misconception About Designing With Data Too often when working in information design, you’ll hear the request, “Can you make the data look cool?” “Cool” is a rather ambiguous term, and means different things to different people. Unfortunately, when working with data, the term “cool” is often directly juxtaposed with common charts like line, bar and pie, which are often relegated to the backbench, and written off as “boring.” The emphasis on the instant visual appeal of an infographic over the clarity of the presentation of data is a troubling trend that plagues the modern incarnation of the infographic. Data Visualization And The “Cool” Factor Link

Caravel: Airbnb’s data exploration platform — Airbnb Engineering & Data Science At Airbnb, we love data, and we like to think that analytics belongs everywhere. For us to be data-driven, we need data to be fluid, fast flowing, and crystal clear. As a vector for data exploration, discovery, and collaborative analytics, we have built and are now open sourcing, a data exploration and dashboarding platform named Caravel. Caravel allows data exploration through rich visualizations while performing fast and intuitive “slicing and dicing” against just about any dataset.

How The Wall Street Journal creates mobile-friendly interactives Credit: By notbrucelee on Flickr. Some rights reserved. Journalists and newsroom developers can still find working together to build tools and meaningful data visualisations a challenging process. But now there's another element to consider: how will the interactive look on a smartphone? At The Wall Street Journal, the mobile aspect is at the forefront of developing graphics and interactive elements to accompany or enhance the reporting, particularly when working with large data sets. The outlet's most recent example, published yesterday, is an interactive map that shows the different levels of nitrogen dioxide across Europe and how polluted the air is in specific countries or cities due to emissions produced by diesel cars.

Understanding what makes a visualization memorable John Wihbey teaches data journalism in the Media Innovation program at Northeastern University’s School of Journalism. The world of data visualization has long been shaped by canonical ideas from theorists like Edward Tufte. His book The Visual Display of Quantitative Information is a must-read for information designers, which include newsroom graphics editors. Tufte’s organizing principles–the eloquent and ethical display of substance, statistics, and design–are now being refined and adapted for media production by contemporary dataviz gurus like Alberto Cairo. But how does human cognition fit into the practice of visualization? Could data visualization design and the way it is consumed be dissected through intensive empirical research?

One Chart, Twelve Charting Libraries · Lisa Charlotte Rost 17 May 2016 Charting Libraries. Gosh, there are so many out there. On Wikipedia and other websites, one can find a comparison of ca. 50 libraries – and these are only JavaScript libraries; not mentioning languages like Processing and libraries for Python and R. In the following blog post, I will try to get to know a few ones out of the great sea of possibilities. I want to understand their differences and how easy it is to learn them. 14 best data visualization tools for better storytelling Posted on November 30, 2014 by Rob Petersen inShare95 If you can’t measure it, you can’t manage it. – Peter Drucker When Memorability Matters: Another Practitioner’s View The following comments are in response to Stephen Few’s recent newsletter entitled “Information Visualization Research as Pseudo-Science” in which he critiqued an academic paper by Borkin et al entitled “Beyond Memorability: Visualization Recognition and Recall“. I’m not an academic researcher, so I will leave it to others in the field to respond to Few’s specific criticisms of the paper’s methods. My goal in this article is to respond to opinions Few voiced about memorability in data visualization. I’d like to start by asking a few questions: Does it matter whether a data visualization is memorable or not?

One Chart, Twelve Tools · Lisa Charlotte Rost 17 May 2016 Which tool or charting framework do you use to visualize data? Everybody I’ve met so far has personal preferences (“I got introduced to data vis with that tool!”, “My hero uses that tool and she makes the best charts!”). Often we keep working with the first not-entirely-bad tool or language that we encountered. I think it can’t hurt to have a wider view of the options out there: To maybe discover better tools than the ones we use; but also to reassure us that the tools we use ARE really the best (so far). 3 Beginner-Friendly Data Visualization Tricks Statistics and data validate your presentation. Many times, showcasing numerical research is the main point of a presentation. But charts and graphs are overused formats, and as a result they are easily forgotten and often completely ignored by audiences. As easy as it is to drag and drop a chart into your deck, most people simply do not want to decipher a series of dots on a graph or bars on a chart during a speech. It is thus your job as the presenter to deliver your data so that it is easy — and perhaps even enjoyable — to comprehend. Here are a few beginner-friendly techniques that you can use to effectively prepare your data for presentation slides.

Awesome Data Viz - Curated List of Data Viz Frameworks, Libraries, Software Guest blog by Fabio Souto A curated list of awesome data visualizations frameworks, libraries and software. Inspired by awesome-python. Data Science II Final Project Information Extracting meaning from data remains one of the biggest tasks of science. The Internet and modern computers have given us vast amounts of data, so it is more important than ever to understand how to collect, process, and analyze these data while maintaining reproducibility with data provenance or "chain of custody" of the data. The top 20 data visualisation tools One of the most common questions I get asked is how to get started with data visualisations. Beyond following blogs, you need to practise – and to practise, you need to understand the tools available. In this article, I want to introduce you to 20 different tools for creating visualisations: from simple charts to complex graphs, maps and infographics. Almost everything here is available for free, and some you have probably installed already.