- published: 10 Jan 2018
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Data (/ˈdeɪtə/ DAY-tə, /ˈdætə/ DA-tə, or /ˈdɑːtə/ DAH-tə) is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage or processing.
Raw data, i.e. unprocessed data, is a collection of numbers, characters; data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next. Field data is raw data that is collected in an uncontrolled in situ environment. Experimental data is data that is generated within the context of a scientific investigation by observation and recording.
The Latin word "data" is the plural of "datum", and still may be used as a plural noun in this sense. Nowadays, though, "data" is most commonly used in the singular, as a mass noun (like "information", "sand" or "rain").
In computer programming, an application programming interface (API) is a set of routines, protocols, and tools for building software and applications.
An API expresses a software component in terms of its operations, inputs, outputs, and underlying types, defining functionalities that are independent of their respective implementations, which allows definitions and implementations to vary without compromising the interface. A good API makes it easier to develop a program by providing all the building blocks, which are then put together by the programmer.
An API may be for a web-based system, operating system, or database system, and it provides facilities to develop applications for that system using a given programming language. As an example, a programmer who develops apps for Android may use an Android API to interact with hardware, like the front camera of an Android-based device.
In addition to accessing databases or computer hardware like hard disk drives or video cards, an API can ease the work of programming GUI components. For example, an API can facilitate integration of new features into existing applications (a so-called "plug-in API"). An API can also assist otherwise distinct applications with sharing data, which can help to integrate and enhance the functionalities of the applications.
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk.
Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data sets in areas including Internet search, finance and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,connectomics, complex physics simulations, biology and environmental research.
Tim, Timothy or Timmy Smith may refer to:
If you look for a definition of data you might find something like this: "data' facts and statistics collected together for reference or analysis." but people think in terms of metaphors, not dry definitions. For example data=power, or data=resource. Metaphors can be visual, like a picture of an object, for example a ball and chain, getting at the idea that data about oneself can be something that holds one back. In this video, I do a quick braindump of some possible visual metaphors for data. Enjoy! ---Jonny Goldstein, visualizegood.co, jonnygoldstein.com
View full lesson: http://ed.ted.com/lessons/exploration-on-the-big-data-frontier-tim-smith There is a mind-boggling amount of data floating around our society. Physicists at CERN have been pondering how to store and share their ever more massive data for decades - stimulating globalization of the internet along the way, whilst 'solving' their big data problem. Tim Smith plots CERN's involvement with big data from fifty years ago to today. Lesson by Tim Smith, animation by TED-Ed.
Holger Stitz, Samuel Gratzl, Wolfgang Aigner and Marc Streit ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor IEEE Transactions on Visualization and Computer Graphics, 2016. http://thermalplot.pipes-vs-dams.at
What exactly is an API? Finally learn for yourself in this helpful video from MuleSoft, the API experts. https://www.mulesoft.com/platform/api The textbook definition goes something like this: “An application programming interface (API) is a set of routines, protocols, and tools for building software applications. An API expresses a software component in terms of its operations, inputs, outputs, and underlying types. An API defines functionalities that are independent of their respective implementations, which allows definitions and implementations to vary without compromising each other. A good API makes it easier to develop a program by providing all the building blocks. APIs often come in the form of a library that includes specifications for routines, data structures, object clas...
Google Tech Talks June 26, 2008 ABSTRACT Peripheral Information Awareness through Evolving Mood Maps Representing multivariable changes of complex data sets with beautiful developing landscapes The idea behind the Panorama solution is to express the overall 'mood' of evolving, complex data (such as the development of the stock market) in rendered 3D animations that can be perceived and interpreted with little cognitive effort. The software application maps variables of a data set (e.g. bonds, shares, overall trading intensity or fluctuation of the stock market) to graphic parameters in a 3D simulation, such as ocean waves, sun strength, wind speed, cloud particles etc. Developments of the stock market, for example, become perceivable by cloud transformations, wave precipitations, and cha...
CONVERSATION | Audrey Watters - Data is the New Oil: MOOCs, Metaphor, and Money | Columbia University, October 16, 2013 Audrey Watters, a leading freelance writer in the education field and author of the blog Hack Education, gave a talk on "(Student) Data is the New Oil: MOOCs, Metaphor, and Money." She examined "student data as the new oil" — the metaphor and the money behind education data and learning analytics becoming prevalent in discussions around MOOCs and online learning. A. Maurice Matiz, CCNMTL's Director, introduced the talk.
Giorgia Lupi is an information designer. Her work in information visualization frequently crosses the divide between digital and print, exploring visual models and metaphors to represent rich data-driven stories. Her work challenges the impersonality that data might communicate, through engaging visual narratives able to connect numbers to what they stand for: knowledge, behaviors, people. She is co-founder and design director at Accurat (accurat.it), an information design agency based in Milan and New York; Accurat analyzes data and contexts and designs analytical tools and visual narratives that provide awareness, comprehension and engagement. In 2014, she obtained a PhD in Information Design at Politecnico di Milano. Her work has been published and featured in magazines such as the New ...
The history behind public key cryptography & the Diffie-Hellman key exchange algorithm. We also have a video on RSA here: https://www.youtube.com/watch?v=wXB-V_Keiu8
Almost every cell in your body has the same DNA sequence. So how come a heart cell is different from a brain cell? Cells use their DNA code in different ways, depending on their jobs. Just like orchestras can perform one piece of music in many different ways. A cell’s combined set of changes in gene expression is called its epigenome. This week Nature publishes a slew of new data on the epigenomic landscape in lots of different cells. Learn how epigenomics works in this video. Read the latest research on epigenetics at http://www.nature.com/epigenomeroadmap
the future is in front of me the past is behind me
Research Exchange seminar: "(re)Construction of the Human: Data as Metaphor" Speaker/Performer: Ellen Bromberg, Townsend Resident Fellow Sponsor: CITRIS (Ctr for Info Technology Research in the Interest of Society) (co-sponsored by the Townsend Center for the Humanities and the Department of Theater, Dance, and Performance Studies). Location: UC Berkeley campus This talk and screening is framed by ideas about the enduring impulse to capture and represent human movement throughout history. And as such, briefly looks at the ways in which digital technology has facilitated new forms of motion capture in various media. These ideas serve as a springboard for a discussion about how digital technology has facilitated an evolution in Bromberg's own creative work in video, telematic and interactiv...
App to learn the data journey, and discover Analytics products.
Google Tech Talks June 26, 2008 ABSTRACT Peripheral Information Awareness through Evolving Mood Maps Representing multivariable changes of complex data sets with beautiful developing landscapes The idea behind the Panorama solution is to express the overall 'mood' of evolving, complex data (such as the development of the stock market) in rendered 3D animations that can be perceived and interpreted with little cognitive effort. The software application maps variables of a data set (e.g. bonds, shares, overall trading intensity or fluctuation of the stock market) to graphic parameters in a 3D simulation, such as ocean waves, sun strength, wind speed, cloud particles etc. Developments of the stock market, for example, become perceivable by cloud transformations, wave precipitations, and cha...
CONVERSATION | Audrey Watters - Data is the New Oil: MOOCs, Metaphor, and Money | Columbia University, October 16, 2013 Audrey Watters, a leading freelance writer in the education field and author of the blog Hack Education, gave a talk on "(Student) Data is the New Oil: MOOCs, Metaphor, and Money." She examined "student data as the new oil" — the metaphor and the money behind education data and learning analytics becoming prevalent in discussions around MOOCs and online learning. A. Maurice Matiz, CCNMTL's Director, introduced the talk.
Research Exchange seminar: "(re)Construction of the Human: Data as Metaphor" Speaker/Performer: Ellen Bromberg, Townsend Resident Fellow Sponsor: CITRIS (Ctr for Info Technology Research in the Interest of Society) (co-sponsored by the Townsend Center for the Humanities and the Department of Theater, Dance, and Performance Studies). Location: UC Berkeley campus This talk and screening is framed by ideas about the enduring impulse to capture and represent human movement throughout history. And as such, briefly looks at the ways in which digital technology has facilitated new forms of motion capture in various media. These ideas serve as a springboard for a discussion about how digital technology has facilitated an evolution in Bromberg's own creative work in video, telematic and interactiv...
Giorgia Lupi is an information designer. Her work in information visualization frequently crosses the divide between digital and print, exploring visual models and metaphors to represent rich data-driven stories. Her work challenges the impersonality that data might communicate, through engaging visual narratives able to connect numbers to what they stand for: knowledge, behaviors, people. She is co-founder and design director at Accurat (accurat.it), an information design agency based in Milan and New York; Accurat analyzes data and contexts and designs analytical tools and visual narratives that provide awareness, comprehension and engagement. In 2014, she obtained a PhD in Information Design at Politecnico di Milano. Her work has been published and featured in magazines such as the New ...
Abstract In my talk I will primarily focus on answering/offer the answer to these questions: • Why we need data science and why more and more people should be really interested in analyzing data and data visualization? (motivation) • What is data science and how to start doing it in Python? (introduction of procedures, tools, most popular IDE-s for Python, etc.) • What tools for data analysis and data visualization Python offers? (in each stage of analysis the best libraries will be shown for the specific purpose; as for data visualization we will focus particularly on Bokeh, Seaborn, Plotly and use of Jupyter Notebook and Plotly) • How to "unlock" the insight hidden in data through Python and how to use it to transform not only public administration or business, but ultimately the transfo...
The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lecture 1 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/course/machine-learning/id515364596 and on the course website - http://work.caltech.edu/telecourse.html Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/ This lecture was recorded on April 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Let’s start by looking at the core concepts that differentiate FP from the OO / imperative style most programmers are familiar with. Along the way I’ll introduce you to: 1. Immutable data structures. Having data structures that don’t change makes your code safer, especially when dealing with concurrency and parallelism, but they require you to approach solutions in a different way than you would with mutable data. 2. “Pure” functions. Pure, or idempotent, functions do not mutate state or cause other kinds of side effects. As a result, you are guaranteed that every time you call a function with the same parameters, you will always get the same value. 3. Recursion: While recursion is something most of us know about, it’s not something we tend to use often in imperative programming, and wi...
Emma Whitehead and Tobias Sturt (of Graphic Digital Agency) discuss and exemplify effective visual storytelling with data. Talk was at The Graphical Web 2014 conference (http://www.graphicalweb.org/2014/) at The University of Winchester as organised by The Office for National Statistics. Video by John Wilson (@snoop2003) of Winchester University Journalism School.
Bringing Teacher Education Forward Conference, University of Oslo Keynote Marilyn Cochran-Smith is Professor of Teacher Education for Urban Schools and Director of the Ph.D. Program in Curriculum and Instruction at the Lynch School of Education, Boston College, Massachusetts. A teacher, education scholar and practitioner for 30 years, Dr. Cochran-Smith is widely known for her scholarship regarding teacher education research, practice and policy and for her sustained commitment to teaching and teacher education for diversity and social justice.
Further information: https://berlinbuzzwords.de/17/session/what-does-rename-do We software developers take for granted the notion of ""a filesystem"", with its paths, directories, files and operations. Yet when it comes to distributed filesystems, those notions built from years of using desktop systems actually constraining us to a metaphor which is no longer sustainable This talk looks at our foundational preconceptions from the perspective of trying to define a single operation in Hadoop HDFS, rename(), what it takes to implement it in a distributed filesystem —and what has to be done to mimic that behaviour when working with an object store. Preconceptions about rename()'s semantics are deeply embedded in large scale applications such as Apache MapReduce, Apache Hive, Apache Spark a...
Google Tech Talk September 10, 2009 ABSTRACT Presented by Richard A. Kemmerer. Botnets, which are networks of malware-infected machines that are controlled by an adversary, are the root cause of a large number of security threats on the Internet. A particularly sophisticated and insidious type of bot is Torpig, which is a malware program that is designed to harvest sensitive information (such as bank account and credit card data) from its victims. In this talk, we report on our efforts to take control of the Torpig botnet for ten days. Over this period, we observed more than 180 thousand infections and recorded more than 70 GB of data that the bots collected. While botnets have been hijacked before, the Torpig botnet exhibits certain properties that make the analysis of the da...
Susan Murphy April 8, 2015 Why are treatments for chronic disease and addiction so often ineffective? Statistician Susan Murphy believes that generalized treatment approaches simply don’t take into account critical individual differences like patient response, risk, burden, adherence, and preference. By implementing a sequence of decision rules that dynamically adapt treatment to each individual’s response over time, Murphy explores the promising potential of adaptive intervention to maximize treatment efficacy by avoiding over-treatment and providing increased treatment only to those who need it. Susan Murphy is a 2013 MacArthur Fellow who teaches Statistics at the University of Michigan. Murphy is also a principal investigator at the Methodology Center of Pennsylvania State University....
We're living in a panopticon. And that's not good. Jake Goldenfein, researcher at the Centre for Media and Communications Law, University of Melbourne, notes that it’s important to remember the corrective purposes of Bentham’s panopticon when considering it as a metaphor for modern surveillance. “The relevance of the panopticon as a metaphor begins to wither when we start thinking about whether contemporary types of visuality (effectively digital and data-driven) are analogous to the central tower concept. For example, whether this type of visuality is as asymmetrical, and – I think more importantly – being co-opted for the same political exercise. Does the fact that we don’t know we’re being watched mean we are being normalised in the way the panopticon was intended to correct behaviour?...