Primary Website Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Business Week as the "Galileo of graphics." He is now writing a book/film The Thinking Eye and constructing a 234-acre tree farm and sculpture park in northwest Connecticut, which will show his artworks and remain open space in perpetuity. He founded Graphics Press, ET Modern gallery/studio, and Hogpen Hill Farms LLC. Visualization Visualizing data through charts, graphs, and diagrams helps you deliver bite-sized information that viewers will understand at a glance and retain for the long run. During my workshops, webinars, and training videos, we focus on researcher-specific considerations: designing with stakeholders’ information needs front and center, using readily available software like Microsoft Excel, and thinking through dozens of chart types—dot plots, small multiples, heat maps, and more—that can be applied to the social sciences. My goal is to equip you with critical thinking skills and technical know-how create visualizations faster and easier than you ever thought was possible. Read my latest articles about selecting appropriate chart types, applying best practices to your charts, and more. View excerpts from my latest conference presentations and read my articles that are guest-published through other organizations’ blogs. Is your team overdue to step up your data game?
Jupyter Notebook Viewer The first three lines of code import libraries we are using and renames to shorter names. Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. We will use it for basic graphics Numpy is the fundamental package for scientific computing with Python. It contains among other things: Information Is Beautiful - David McCandless - Dataviz, data art The Kantar Information is Beautiful Awards 2017 is now open, celebrating the world’s most excellent information design. To mark our sixth year – and the increasing importance of data visualization & infographics across all media – we’re refreshing & relaunching the Awards. Biggest change is, we’ve revamped the categories. So whichever data-driven artform you choose, your challenge is to illuminate the topic: Arts, Environments, Current Affairs, Corporate, Humanitarian, Science, Sports – and for everything outside the box – Unusual.
Data Visualization vs. Data Analytics The term Business Intelligence solution can be a deceiving one. Many software solutions that call themselves BI can actually only offer you half of what you need. Here it’s important to make the distinction between two types of business analysis and intelligence tools: end-to-end solutions and ones that are merely front-end. An end-to-end solution is made up of a platform back-end, basically the tools and algorithms that handles preparing all the data, and a front-end that creates data visualizations and dashboard reporting. While we like to see our data in easy to handle visualizations, platforms that only give you this are not enough to get real insights from your company’s data.
About John Snow John Snow is an iconic figure in epidemiology and public health, best known for his work on cholera, for a famous map, and for organising the removal of a pump handle in Soho. Less well known are his important contributions to anaesthesia and to epidemiological methods, and his engagement in public debates of the time. The breadth and depth of Snow’s activities provide a model for population researchers concerned not only with sound method but also with bringing their results to public benefit.
Visual Business Intelligence For data sensemakers and others who are concerned with the integrity of data sensemaking and its outcomes, the most important book published in 2016 was Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, by Cathy O’Neil. This book is much more than a clever title. It is a clarion call of imminent necessity. Data can be used in harmful ways. This fact has become magnified to an extreme in the so-called realm of Big Data, fueled by an indiscriminate trust in information technologies, a reliance on fallacious correlations, and an effort to gain efficiencies no matter the cost in human suffering.
Top ten ways to clean your data - Excel You don't always have control over the format and type of data that you import from an external data source, such as a database, text file, or a Web page. Before you can analyze the data, you often need to clean it up. Fortunately, Excel has many features to help you get data in the precise format that you want. Sometimes, the task is straightforward and there is a specific feature that does the job for you. For example, you can easily use Spell Checker to clean up misspelled words in columns that contain comments or descriptions.
Visual Business Intelligence - Stephen Few - Dataviz, viz theory This blog entry was written by Nick Desbarats. As Steve has recently announced, he’s decided to transition away from teaching in the coming months to focus on new projects. After more than 15 years in the field of data visualization and more than 30 in IT, hopefully, we can all find our way to forgiving him for shifting his focus.
Data-driven Insights on the California Drought (12/8/2014 8:33:13 AM) A newly released interactive California Drought visualization website aims to provide the public with atlas-like, state-wide coverage of the drought and a timeline of its impacts on water resources. The U.S. Geological Survey developed the interactive website as part of the federal government's Open Water Data Initiative. The drought visualization page features high-tech graphics that illustrate the effect of drought on regional reservoir storage from 2011-2014. For the visualization, drought data are integrated through space and time with maps and plots of reservoir storage. Reservoir levels can be seen to respond to seasonal drivers in each year.
Susnpot Drawings Galileo's Sunspot Drawings In 1612 during the summer months, Galileo made a series of sunspot observations which were published in Istoria e Dimostrazioni Intorno Alle Macchie Solari e Loro Accidenti Rome (History and Demonstrations Concerning Sunspots and their Properties, published 1613). Because these observations were made at appoximately the same time of day, the motion of the spots across the Sun can easily be seen. To illustrate this, thirty-six of Galileo's sunspot drawings have been placed in sequence as "flip-book" type animation which can be played at two different speeds. The faster animination better demonstates to movement of the sunspots.
System Mapping System mapping, the process of creating visual tools that describe a system, is a critical step in systems change that brings together stakeholders from across organizations and sectors to develop a common understanding of a given system. Breaking down the mapping process into 3 stages—preparation, facilitation, and revision—this guide provides detailed instructions, helpful hints, and visual examples for practitioners to follow as they create one type of system map called an actor map. Top Takeaways Actor maps identify individuals and organizations that are key players in a certain space and shows how they are connected.Due to the complexity of systems, no 2 actor maps will be exactly alike. This guide helps practitioners create an actor mapping process customized to the specific context of their evaluation or initiative.Creating a comprehensive actor map requires both explicit data from evaluations and studies, and implicit knowledge from the participants.
How to Use Excel’s Descriptive Statistics Tool - dummies By Stephen L. Nelson, E. C. Nelson Perhaps the most common Data Analysis tool that you’ll use in Excel is the one for calculating descriptive statistics. Evergreen Data - Stephanie Evergreen - DataViz, Excel The Wrong Kind of White Space Long-ish reports are probably never going away entirely, so let’s make them suitable for a digital reading age. In the olden days, when we printed reports, they often had extra blank pages at the front and back. It probably gave printed materials a sense of... Adding Confidence Intervals to a Dot Plot Evergreen Data Visualization Academy member Dana McGuire recently wrote me to ask about her dot plot.