Posts by Category: Statistics Resources and Big Data

Data & Society

April 20, 2017

Data & Society
https://datasociety.net/

Data & Society is a research institute in New York City that is focused on the social and cultural issues arising from data-centric technological development. The issues that Data & Society seeks to address are complex. The same innovative technologies and sociotechnical practices that are reconfiguring society – enabling novel modes of interaction, new opportunities for knowledge, and disruptive business paradigms – can be abused to invade people’s privacy, provide new tools of discrimination, and harm individuals and communities. To provide frameworks that can help society address emergent tensions, Data & Society is committed to identifying thorny issues at the intersection of technology and society, providing and encouraging research that can ground informed, evidence-based public debates, and building a network of researchers and practitioners who can anticipate issues and offer insight and direction. Data & Society’s programs bring together different perspectives, research methods, and practices. They weave together researchers, entrepreneurs, activists, policy creators, journalists, geeks, and public intellectuals. They see tremendous reciprocal benefits for network building and research when they are combined. The work and well-being of Data & Society is strengthened by the diversity of our network and our differences in background, culture, experience, and much more. They are committed to making certain that a wide array of perspectives are heard and that our research is publicly available. This will be added to Social Informatics Subject Tracer™. This will be added to Research Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™.

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VIZE – Experiment With Data On the Fly

March 28, 2017

VIZE – Experiment With Data On the Fly
http://www.vize.io/

Vize is an agile data experimentation platform. It helps you prepare, discover, and analyze data on-the-fly without coding, and gives real-time visual feedback on every action. Thanks to its lightning-fast proprietary technology, Vize renders the results of everything you do instantaneously. Change input variables continuously, and watch calculated variables get updated in front of your eyes. Experiment with real-time synchronous highlighting and dynamic aggregations. You can even change data values by directly manipulating data objects on a chart. Create and modify complex analytical dashboards with simple clicks and drag-and-drops. Explore scatter plots with millions of data points. Analyze time-series down to the millisecond. Work with custom GeoJSON maps. Vize empowers you to solve the advanced data problems than can’t be solved with business intelligence solutions. Vize Software was founded on the mission to make it more intuitive to experiment and work with data. We strive to improve every possible aspect of software development, from UI to architecture and performance, in order to provide the smoothest user experience. We believe in disrupting the status quo of traditional spreadsheets and statistical packages, and empower more users to perform advanced data tasks without coding. This will be added to the tools section of Research Resources Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™.

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The Data Librarian’s Handbook

March 16, 2017

The Data Librarian’s Handbook
http://www.facetpublishing.co.uk/title.php?id=300471#.WHfUw1ziCUl

An insider’s guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data. Interest in data has been growing in recent years. Support for this peculiar class of digital information – its use, preservation and curation, and how to support researchers’ production and consumption of it in ever greater volumes to create new knowledge, is needed more than ever. Many librarians and information professionals are finding their working life is pulling them toward data support or research data management but lack the skills required. The Data Librarian’s Handbook, written by two data librarians with over 30 years’ combined experience, unpicks the everyday role of the data librarian and offers practical guidance on how to collect, curate and crunch data for economic, social and scientific purposes. With contemporary case studies from a range of institutions and disciplines, tips for best practice, study aids and links to key resources, this book is a must-read for all new entrants to the field, library and information students and working professionals. This will be added to the tools section of Research Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™.

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Updated> Statistics Resources and Big Data 2017 White Paper Dataset Link Compilation

March 14, 2017

Updated> Statistics Resources and Big Data 2017 White Paper Dataset Link Compilation
http://www.StatisticsResources.com/

I have just updated my white paper dataset link compilation for Statistics Resources and Big Data 2017 Subject Tracer™ by Marcus P. Zillman, M.S., A.M.H.A. It is now a 32 page .pdf document 264KB. [Completely updated with all links validated and new URLs added on March 13, 2017] Other white papers are available by clicking here.

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Updated> Statistics Resources and Big Data 2017 White Paper Dataset Link Compilation

January 28, 2017

Updated> Statistics Resources and Big Data 2017 White Paper Dataset Link Compilation
http://www.StatisticsResources.com/

I have just updated my white paper dataset link compilation for Statistics Resources and Big Data 2017 Subject Tracer™ by Marcus P. Zillman, M.S., A.M.H.A. It is now a 32 page .pdf document 263KB. [Completely updated with all links validated and new URLs added on January 28, 2017] Other white papers are available by clicking here.

This research is powered by Subject Tracer Bots™ from the Virtual Private Library™. Isn't yours?

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Apmetric – Data Without Context Is Just Data

January 12, 2017

Apmetric – Data Without Context Is Just Data
https://www.apmetrix.com/

See how they help gaming and media publishers streamline their analytics and data management like no one else can. Imagine all your data in one place. Well, you don’t have to imagine anymore. Features include: a) Tailored – View data your way with their suite of powerful tools. Create your own custom reports with graphics, filters, colors, visualizations, and more. Their easy to use ‘drag and drop’ interface means no more messy SQL query’s when correlating your data; b) Contextual – Our unique multi-channel analytics platform does way more than just show you how many times something happened, we show you why. By easily correlating between many types of data sources you can finally see relationships never before possible; c) Automated – They automate the entire data collection, aggregation and visualization process across all platforms making it easy to view all your critical KPI’s with a simple click. Access your data in real-time via web or mobile and even generate reports in Excel and automatically email to distribution lists; and d) Mission Critical – Their platform is mission critical and saves our clients dozens of hours each week, letting them focus on what really matters, delivering the right content to users and fans. Minimize costly manual errors by automating complex reports with ease. This will be added to Statistics Resources and Big Data Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™.

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data.world – Social Network for Data People

December 13, 2016

data.world – Social Network for Data People
https://data.world/

Discover and share cool data, connect with interesting people, and work together to solve problems faster. They are building the most meaningful, collaborative, and abundant data resource in the world. At least 18M open datasets exist today. Only 2.4M websites existed at Google’s launch in 1998. Open data holds great promise for society, and we think its impact should grow as quickly as its volume. We’ve built a platform where the world’s problem solvers can find and use a vast array of high-quality open data. Some datasets will always be sensitive, some should only be shared with trusted collaborators, and others just aren’t ready to publish yet. We’ve built an environment where users’ private datasets are safe and access is entirely under their control. Datasets are social objects, and open data platforms should reflect this. Social networking can accelerate and enhance data science by improving decision-making, knowledge transfer, problem-solving, and much more. We’ve built a community where conversation adds context to data and deep collaboration is the norm. It should be easier to find, understand, and use data. We make data “meaningful” using Semantic Web technology. This improves data discovery and interoperability so people and machines can unlock its value faster. We’ve built a network where new datasets energize and enhance everything they connect to. This will be added to Statistics Resources and Big Data Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Sizzle Analytics

December 12, 2016

Sizzle Analytics
https://www.sizzleanalytics.com

Anyone looking to create appealing visualizations as a way to share data will want to check out Sizzle Analytics. This free tool is designed for creating data visualizations. To create one, users simply upload data as a CSV (Comma Separated Variable) file. Next, users select what variables to measure and what kind of graph to use. Notably, Sizzle Analytics allows users to create graphs that allows others to select variables themselves – allowing for sleek, versatile visualizations. By creating a free account, users can save their work. Those looking for inspiration can check out Featured Boards, which include visualizations of the top Spotify tracks for 2015-2016. This will be added to Statistics Resources and Big Data Subject Tracer™. Copyright © 2016 Internet Scout Research Group – http://scout.wisc.edu

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Open Data Impact Map

December 02, 2016

Open Data Impact Map
http://opendataenterprise.org/map.html

The Center for Open Data Enterprise aims to “maximize the value of open government data as a public resource, by focusing on data users.” Toward this goal, the Center, in conjunction with Open Data For Development Network (OD4D) recently launched the Open Data Impact Map, an interactive map of organizations – including for-profit, nonprofit, and academic institutions – that use open data to call attention to exactly who uses open government data. Visitors can browse the Map by selecting one of the 97 included countries. Within each country, users can then check out organizations that use open data by the city where they are headquartered.  Alternatively, visitors can explore open data usage by Region of the world or by Sector. As an included infographic reveals, government open data is most frequently used by Information Technology (IT) and Geospatial organizations. Finally, visitors may opt to browse this data by name of Organization (the site features 1,727 in total). The Map is accompanied by a 28-page report. This will be added to Statistics Resources and Big Data Subject Tracer™. Copyright © 2016 Internet Scout Research Group – http://scout.wisc.edu

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Open Learning Initiative: Probability & Statistics

November 16, 2016

Open Learning Initiative: Probability & Statistics
http://oli.cmu.edu/courses/free-open/statistics-course-details

A strong grounding in probability and statistics can help with the interpretation of research studies in a variety of fields. Carnegie Mellon’s Open Learning Initiative offers a free, online, four-unit course on Probability & Statistics for anyone looking to learn more about the discipline. This course, intended to be the equivalent of a college semester, is designed to be taken independently or incorporated into a classroom. The course utilizes the university’s own StatTutor program to provide interactive feedback and hints to learners as they solve problems. Learners have the choice of selecting two versions of this online course: Probability & Statistics, which includes a more “classical” approach to probability, or Statistical Reasoning, which features an abridged version of the Probability unit with an emphasis on the skills and knowledge needed to understand inference. This course is intended as a beginner course in Statistics and requires prior knowledge in basic algebra. This will be added to Statistics Resources and Big Data Subject Tracer™. Copyright © 2016 Internet Scout Research Group – http://scout.wisc.edu

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