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Finding Data on the Internet

Finding Data on the Internet
Skip to Content A Community Site for R – Sponsored by Revolution Analytics Home » How to » Finding Data on the Internet Finding Data on the Internet By RevoJoe on October 6, 2011 The following list of data sources has been modified as of 3/18/14. If an (R) appears after source this means that the data are already in R format or there exist R commands for directly importing the data from R. Economics American Economic Ass. Data Science Practice This section contains data sets used in the book "Doing Data Science" by Rachel Schutt and Cathy O'Neil (O'Reilly 2014) Datasets on the book site: Enron Email Dataset: GetGlue (time stamped events: users rating TV shows): Titanic Survival Data Set: Half a million Hubway rides: Finance Government Health Care Gapminder: Machine Learning Networks Science Comments Related:  Big Data / Analytics

Where can I find large datasets open to the public? Datasets for Data Mining, Analytics and Knowledge Discovery See also Data repositories AssetMacro, historical data of Macroeconomic Indicators and Market Data. Related Publicly Available Big Data Sets :: Hadoop Illuminated Public Data sets on Amazon AWS Amazon provides following data sets : ENSEMBL Annotated Gnome data, US Census data, UniGene, Freebase dump Data transfer is 'free' within Amazon eco system (within the same zone) AWS data sets InfoChimps InfoChimps has data marketplace with a wide variety of data sets. InfoChimps market place Comprehensive Knowledge Archive Network open source data portal platform data sets available on from Stanford network data collection Open Flights Crowd sourced flight data Flight arrival data

Data Sets The Pew Research Center's Internet Project is pleased to offer scholars access to raw data sets from our research. All uses of this data should reference the Pew Research Center as the source of the data and acknowledge that the Pew Research bears no responsibility for interpretations presented or conclusions reached based on analysis of the data. Our data sets are made available as single compressed archive files (.zip file). Pew Research is interested in learning about other ways that scholars use our data. January 2014 – 25th Anniversary of the Web (Omnibus) This survey contains questions about internet usage, cell and smartphone ownership, and Americans’ views about the role of the internet in their lives. January 2014 – E-reading and Gadgets (Omnibus) This omnibus survey contains questions about reading, e-reading, and various electronic devices. October 2013 – Pictorial Activities (omnibus) July 2013 – Anonymity (omnibus) This omnibus survey contains questions about anonymity online.

IT Operations Analytics In the fields of information technology and systems management, IT Operations Analytics (ITOA) is an approach or method applied to application software designed to retrieve, analyze and report data for IT operations. ITOA has been described as applying big data analytics to large datasets where IT operations can extract unique business insights.[1][2] In its Hype Cycle Report, Gartner rated the business impact of ITOA as being ‘high’, meaning that its use will see businesses enjoy significantly increased revenue or cost saving opportunities.[3] By 2017, Gartner predicts that 15% of enterprises will use IT operations analytics technologies to deliver intelligence for both business execution and IT operations.[2] Definition[edit] History[edit] Due the mainstream embrace of cloud computing and the increasing desire for businesses to adopt more Big Data practices, the ITOA industry has grown significantly since 2010. Applications[edit] Types[edit] Tools and ITOA Platforms[edit] See also[edit]

Machine Learning Repository Data Visualisation: What's the big deal? | Career and Hiring Insights | Aquent The concept of using pictures to understand complex information — especially data — has been around for a very long time, centuries in fact. One of the most cited examples of statistical graphics is Napoleon’s invasion of Russia mapped by Charles Minard. The maps showed the size of the army and the path of Napoleon’s retreat from Moscow. It also included detailed information like temperature and time scales, providing the audience with an in-depth understanding of the event. However, as with most things, it’s technology that has truly allowed data visualisation to take the stage and get noticed. It’s no surprise that with big data there’s potential for BIG opportunity (someone pass me the shot glass), but many corporates are genuinely challenged when it comes to: understanding the data they have finding value in it getting the wider business to buy in and just GET IT!!! So how do you tackle this? How do you get people to comprehend this information quickly? One word — INSIGHT.

French National Election Study, 1995 Principal Investigator(s): Lewis-Beck, Michael S.; Mayer, Nonna; Boy, Daniel, et al. This national survey was conducted to study the attitudes and opinions of the French electorate during election year 1995. Information is provided on respondents' interest in politics, ideological leanings, voting behavior, party choice in the 1994 European elections, choice of presidential candidate in the first and second ballot of the 1995 French national elections, perceptions of the French presidential candidates' positions on the ideological spectrum and respondents... (more info) This national survey was conducted to study the attitudes and opinions of the French electorate during election year 1995.

50 external machine learning / data science resources and articles Data Science Central 50 external machine learning / data science resources and articles by Vincent Granville Sep 24, 2015 Starred articles are candidates for the picture of the week. Resources Source: article #3, below Articles Check out our previous selection of articles. DSC Resources Additional Reading

 Pégase [Données en ligne, Énergies et climat] vers le site web du ministère Accès rapides : > Recherche avancée Ministère de l’Écologie, du Développement Durable et de l'ÉnergieCommissariat général au Développement durable Thèmes Sujets transversaux > Retour accueil de la rubrique Publications phares Sources et méthodes Glossaire Liens utiles Résultats détaillés Base de données Pégase (format Beyond 20/20) Base de données Pégase (format Beyond 20/20) La base Pégase (acronyme de Pétrole, Électricité, Gaz et Autres Statistiques de l’Énergie) enregistre et diffuse les statistiques de l’énergie rassemblées par le Service de l’observation et des statistiques (SOeS). Le nouveau mode de diffusion des données détaillées de cette base adopte le format Beyond 20/20, également utilisé par l’Agence internationale de l’énergie ou l’Insee. Les données sont téléchargeables gratuitement, réutilisables sans licence et sans versement de redevance, sous réserve d’en citer la source : Service de l’observation et des statistiques, ou SOeS. Accès aux tableaux :