PPT-Merging big data and official statistics for

Author : calandra-battersby | Published Date : 2017-07-25

smarter statistics on commuting Pasi Piela NTTS Conference Brussels 14 March 2016 Content Goals and aims of the study Data sources Technology and methodology Results

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Merging big data and official statistics for: Transcript

smarter statistics on commuting Pasi Piela NTTS Conference Brussels 14 March 2016 Content Goals and aims of the study Data sources Technology and methodology Results 14 March 2017 Pasi Piela. The future of European . Services for Official . Statistics. David Schiller (IAB) and Christof Wolf (GESIS). European Data Access Forum, Luxembourg, 24-25 March, 2015. Discussion: The future of European Services. Introduction. Eurostat. CES . seminar, 9. th. of April, 2014. Mariana Kotzeva, . Adviser Hors Classe and Acting Director . of Dir. B:. . Methodology. ; Corporate statistical and IT . services, Eurostat. , into a single sorted list. Merging is easier than sorting. There is a very efficient algorithm for merging, illustrated below. Arrays L and R are merged into A. 14 17 22 31 33 i j Paul Allin, . CStat. , FRSA. Visiting Professor and former director of Measuring National Wellbeing Programme, UK Office for National Statistics. We will cover. What are official statistics and why have them?. . European . Conference on . Quality . in Official Statistics (. Q2014) - . June 5. th. 2014. Carlo . Cafiero. , . Pietro Gennari. and Steve Katz. FAO Statistics Division. Background and Context. Role of IOs as Producers of Official Stats . Conference of European Statistics Stakeholders. Budapest, 20-21 October 2016. Alessandro Capezzuoli, Emanuela Recchini. Official statistics and data integration. 1. 3. 4. 2. Model. Technology. Architecture. implementing the ES Code of Practice in a decentralised syste. m. Cathy . Krüger. Senior Coordinating Officer . Council for Official Statistics. Statistics Sweden. Spreading the word: Code . of Practice in a decentralised syste. Owen Abbott. Office for National Statistics. ONS . Big Data . team. Launched in January 2014. The Big Data team:. focus on high priority ONS challenges that may be solved through new forms of data or the application of data science techniques to help deliver better statistics. Peter Harper. Acting Australian Statistician. Australian Bureau of Statistics. Open Working Group on Sustainable Development Goals. Informal meeting on . m. easuring progress . 17 December 2013. Introduction. “What does it take to build trust in the NSS: Unpacking trust determinants”.. A key determinant of trust in statistics- experiences on user engagement, communications and trust-building with the users . . Ronald Jansen. Chief of the Trade Statistics Branch. United Nations Statistics Division / DESA. E-mail: . Jansen1@un.org. or. BigData@un.org. . Development . of . national, regional and international trade policy. Christine Uhrlander. , Marketing . Manager . Statistics. . Sweden. CES . seminar. , 9th . of. April, 2014. Introduction. . What . are the goals we want to achieve by communicating the value of official statistics? . Frank Yu. Australian Bureau of Statistics. Content. Modernisation:. Why, what and how . Challenges. International Collaboration. . The Challenges . Increasing cost & difficulty of acquiring data. April 13-15, 2016. Paris, France. Thomas F. Alexander. IMF. IMF Statistical Forum and Big Data in National Accounts. Big Data and Micro Data. Third IMF Statistical Forum. Big data and micro-data links a sub-theme of the Forum.

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