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New data.worldbank.org features
 
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We just launched a variety of new features including 700+ indicators in data browser pages, a new and improved Data Catalog, build-your-own charts, and embeddable widgets for charts, maps and tables. Learn more here and start playing with these exciting new features.
Views: 718 World Bank
Enterprise Information Catalog: a smart data catalog for data-driven organizations
 
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As data assets are growing exponentially across the enterprise, you want to benefit from these assets. Enterprise Information Catalog (EIC) provides a machine-learning-based discovery engine to classify data assets – on-premises, cloud, Hadoop. With EIC, you can manage and maximize the reuse of ALL data assets. Learn more about Informatica's data catalog solution on our website - https://www.informatica.com/products/big-data/enterprise-information-catalog.html For more from Informatica, connect with us below: Website: https://www.informatica.com Facebook: http://infa.media/Facebook Twitter: http://infa.media/Twitter LinkedIn: http://infa.media/LinkedIn Instagram: http://infa.media/Instagram Google+: http://infa.media/GooglePlus Blog: http://infa.media/Blogs
Views: 3661 Informatica LLC
Top 10 Countries by Arm Import (1960-2017)
 
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Arms imports (SIPRI trend indicator values) Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Datasource: https://databank.worldbank.org https://datacatalog.worldbank.org/public-licenses#cc-by Licensed under Creative Commons: By Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/
Views: 245 ShowStatistics
Top 20 countries with the highest GDP
 
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Countries with the highest GDP(nominal) in the year 2015 by World Development Indicators database, World Bank, 16 December 2016. GDP data source: http://data.worldbank.org/data-catalog/world-development-indicators GDP projections: http://data.worldbank.org/data-catalog/global-economic-prospects
Views: 21 Fact Wars
Top 10 Countries By Energy Production from Nuclear(1970-2015)
 
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Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants. Datasource: https://databank.worldbank.org https://datacatalog.worldbank.org/public-licenses#cc-by Licensed under Creative Commons: By Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/ Music: "Morgana Rides" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/
Views: 140 ShowStatistics
Top 10 Most Aged Countries (1960 - 2017)
 
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Age dependency ratio, old (% of working-age population) Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Datasource: https://databank.worldbank.org https://datacatalog.worldbank.org/public-licenses#cc-by Licensed under Creative Commons: By Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/
Views: 152 ShowStatistics
INFA17 Demo Enterprise Information Catalog
 
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Informatica's Ron Lunasin and Amit Walia demo the Enterprise Information Catalog and the Power of Metadata at Informatica World 2017
Views: 2370 Informatica LLC
What is a Data Moat?
 
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Data Moat Strategy: https://intricity.attach.io/r1Aq20vM7 ----------- Artificial Intelligence isn't generated from thin air. It requires data to learn from. If you want to develop a solid Artificial Intelligence backbone you need a Data Moat. Learn more about what a Data Moat is.
Views: 1387 Intricity101
Real-Time Data Lineage at UBS — Wren Chan and Sidharth Goyal, UBS
 
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Neo4j allows UBS to trace lineage of all metrics for all initiatives across the bank. What's unique about our solution is the combination of real time response time and agility. Lineage spans across dozens of levels of entities and dependencies, and resolving these kinds of dependencies using traditional technologies would be impossible to do in real time. Also, our business analysis are constantly changing requirements. Neo4j does not rely heavily on predefined schema or indexes, and thus was able to keep pace with the changes. Learn how UBS was able to meet regulatory requirements for initiatives within a short window and limited resources.
Views: 2559 Neo4j
The power of satellite data
 
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Satellites provides us with large volumes of spatio-temporal data, creating great opportunities for innovative entrepreneurs. ESA's Business Applications programme is supporting European projects to turn these data into solutions for a wide range of socio-economic situations, as well as jobs and products. This video highlights three concrete examples: automated trains, rehabilitation and money transfers in isolated areas. ★ Subscribe: http://bit.ly/ESAsubscribe and click twice on the bell button to receive our notifications. Check out our full video catalog: http://bit.ly/SpaceInVideos Follow ESA on Twitter: http://bit.ly/ESAonTwitter On Facebook: http://bit.ly/ESAonFacebook On Instagram: http://bit.ly/ESAonInstagram On Flickr: http://bit.ly/ESAonFlickr ESA is Europe's gateway to space. Our mission is to shape the development of Europe's space capability and ensure that investment in space continues to deliver benefits to the citizens of Europe and the world. Check out http://www.esa.int/ESA to get up to speed on everything space related. Copyright information about our videos is available here: http://www.esa.int/spaceinvideos/Terms_and_Conditions #ESA #SpaceUpYourLife #Space19plus
【Top 40】  Which countries has most Population growth ?  【data visualization】
 
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Population growth (annual %) data is from “the world bank”: Indicator Name Population growth (annual %) (SP.POP.GROW) Short definition Annual population growth rate. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Long definition Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Source Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme. Topic Health: Population: Dynamics Periodicity Annual Aggregation method Weighted average Statistical concept and methodology Total population growth rates are calculated on the assumption that rate of growth is constant between two points in time. The growth rate is computed using the exponential growth formula: r = ln(pn/p0)/n, where r is the exponential rate of growth, ln() is the natural logarithm, pn is the end period population, p0 is the beginning period population, and n is the number of years in between. Note that this is not the geometric growth rate used to compute compound growth over discrete periods. For information on total population from which the growth rates are calculated, see total population (SP.POP.TOTL). License URL https://datacatalog.worldbank.org/public-licenses#cc-by License Type CC BY-4.0
Views: 8 Anthony liu.
World Bank eLibrary Tutorial
 
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An electronic portal to the World Bank's full-text collection of books, reports and other documents.
Views: 171 TheApcssLibrary
【Top 40】  Which countries has the most female?  【data visualization】
 
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Population female (% of total) data is from “the world bank”: Indicator Name Population, female (% of total) (SP.POP.TOTL.FE.ZS) Long definition Female population is the percentage of the population that is female. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Source World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision. Topic Health: Population: Structure Periodicity Annual Aggregation method Weighted average Statistical concept and methodology Population structure by age and sex in the World Bank's estimates is based on the population structure by age and sex in United Nations Population Division's World Population Prospects. For more information, see the original source. Development relevance Females comprise almost one-half of the world population. Female population relative to male population is a primary demographic indicator, reflecting historical events such as wars and the socio-demographic and ethno-cultural characteristics of the population. License URL https://datacatalog.worldbank.org/public-licenses#cc-by License Type CC BY-4.0
Views: 9 Anthony liu.
Open India: Take on India’s Development Challenges with the World Bank Group
 
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http://openindia.worldbankgroup.org - Open India app connects the dots between every public and private sector activity of the World Bank Group in India, against the context of the vast development challenges that the country faces. Use this app to track the World Bank Group’s work in your state and the development issues of your interest, and provide your ideas and feedback. The app transparently and intuitively visualizes the Group’s Country Partnership Strategy for 2013-2017 and tracks its progress toward helping India address development challenges, reduced extreme poverty, and boost shared prosperity. For open data powering this app, visit: http://data.worldbank.org/data-catalog/india-cps
Views: 28675 World Bank
Visualizing the causes and effects of Climate Change
 
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CSE 578 project Github Link: https://github.com/arun-karthikeyan/DataViz Website Link: https://arun-karthikeyan.github.io/DataViz Data sources: Temperature=https://climate.nasa.gov/vital-signs/global-temperature/ Temperature=http://berkeleyearth.org/data/ Ice-extent=Arun Karthikeyan, Utkarsh, Saumya Parikh and Namratha Putta. 2017. Visualizing causes and effects of climate change. Version 2.1. Boulder, Colorado USA: ftp://sidads.colorado.edu/DATASETS/NOAA/G02135/. Accessed 27 April,2017 Disaster data= http://www.emdat.be/advanced_search/index.html Carbon Emission=http://data.worldbank.org/data-catalog/world-development-indicators Project by: Arun Karthikeyan Utkarsh Nolastname Saumya Parikh Namratha Putta
Views: 29 Namratha Putta
How to get/download datasets to process the data in spark or bigdata?
 
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http://www.data.gov https://github.com/fivethirtyeight/data https://snap.stanford.edu/data/ https://json-datasets.zeef.com/jdorfman https://www.sajari.com/public-data https://archive.ics.uci.edu/ml/machine-learning-databases/ http://eforexcel.com/wp/downloads-16-sample-csv-files-data-sets-for-testing/ http://www2.informatik.uni-freiburg.de/~cziegler/BX/ https://vincentarelbundock.github.io/Rdatasets/datasets.html https://www.yelp.com/dataset_challenge http://www3.dsi.uminho.pt/pcortez/data/ http://datacatalog.worldbank.org/ https://www.briandunning.com/sample-data/ http://aws.amazon.com/public-data-sets/ https://s3.amazonaws.com/awssampledb/LoadingDataSampleFiles.zip http://training.databricks.com/workshop/usb.zip New York City Taxi Data http://dx.doi.org/10.13012/J8PN93H8 http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml http://stat-computing.org/dataexpo/2009/the-data.html https://www.whitehouse.gov/briefing-room/disclosures/annual-records/2014 http://www.ics.uci.edu/~duboisc/stackoverflow/ https://perso.telecom-paristech.fr/eagan/class/igr204/datasets
Top 10 Countries By Electricity Consumption per capita (1960-2014)
 
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Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants. Datasource: https://databank.worldbank.org https://datacatalog.worldbank.org/public-licenses#cc-by Licensed under Creative Commons: By Attribution 4.0 License https://creativecommons.org/licenses/by/4.0/
Views: 172 ShowStatistics
Stratio's Big Data - Use case in finance - Bank
 
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Real use case of Big Data without Hadoop for a large European bank. Find out more at http://www.stratio.com Transcription: This is Paul. He is a Business analyst at a large European bank Paul analyses millions of transactions of his clients with other financial institutions world-wide every day. Paul needs to create a reporting system to answer questions like who are the clients with the most transactions every hour. He nees to solve 20 queries like this one every 60 minutes. Paul asks for help from his colleague Neil in the IT department Neil regrets to tell Paul that his systems would not even load the data. Neil suggests to speak with Maximilian, a consultant at a large enterprise software corporation. Maximilian screens through his catalog of 922 products... but no, none can cope with all those data! Dave, a Hadoop engineer, joins them. "What's up, guys?" When briefed, Dave proposes a classic Big Data solution consisting in a cluster of 10 nodes with Hadoop and MapReduce. He reckons that he could process queries at a rate of 200 seconds per query However, Paul needs the results in less than 180 seconds! Erm, "OK, it is time for a break I guess, folks" They stumble upon Grace, who works at Stratio - a disruptive Big Data company. Grace agrees to join them for a cup of coffee. Upon listening to their problem, Grace comes up with a suggestion: how about a NoSQL approach requiring 2 nodes only? It would be Hadoop-free [elephant disappears - pop] and capable of cranking out answers at a speed of 20 seconds per query!? No more elephants in the room! Stratio's platform is fast, lean and cheap. It is secure, enterprise-ready and it does not lock your systems or data in. [deep perfunctory tone] This video is based on real events of a real bank. Special thanks to Paul, Neil, Maximilian, Dave... and Grace
Views: 6272 Stratio
Data Analysis using Tableau
 
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Data used: https://datacatalog.worldbank.org/dataset/gender-statistics In this video, you can see how to utilize different kinds of charts in Tableau and show the analysis in easy to understand way.
Views: 8 Dipika Baad
【Top 20】 Which country has the highest gdp (data visualization)
 
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data is from “the world bank”: Indicator Name GDP (current US$) (NY.GDP.MKTP.CD) Long definition GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used. Source World Bank national accounts data, and OECD National Accounts data files. Topic Economic Policy & Debt: National accounts: US$ at current prices: Aggregate indicators Periodicity Annual Aggregation method Gap-filled total Statistical concept and methodology Gross domestic product (GDP) represents the sum of value added by all its producers. Value added is the value of the gross output of producers less the value of intermediate goods and services consumed in production, before accounting for consumption of fixed capital in production. The United Nations System of National Accounts calls for value added to be valued at either basic prices (excluding net taxes on products) or producer prices (including net taxes on products paid by producers but excluding sales or value added taxes). Both valuations exclude transport charges that are invoiced separately by producers. Total GDP is measured at purchaser prices. Value added by industry is normally measured at basic prices. Limitations and exceptions Gross domestic product (GDP), though widely tracked, may not always be the most relevant summary of aggregated economic performance for all economies, especially when production occurs at the expense of consuming capital stock. While GDP estimates based on the production approach are generally more reliable than estimates compiled from the income or expenditure side, different countries use different definitions, methods, and reporting standards. World Bank staff review the quality of national accounts data and sometimes make adjustments to improve consistency with international guidelines. Nevertheless, significant discrepancies remain between international standards and actual practice. Many statistical offices, especially those in developing countries, face severe limitations in the resources, time, training, and budgets required to produce reliable and comprehensive series of national accounts statistics. Among the difficulties faced by compilers of national accounts is the extent of unreported economic activity in the informal or secondary economy. In developing countries a large share of agricultural output is either not exchanged (because it is consumed within the household) or not exchanged for money. License URL https://datacatalog.worldbank.org/public-licenses#cc-by License Type CC BY-4.0
Views: 13 Anthony liu.
【Top 40】  Which countries has most Population total ?  【data visualization】
 
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Population total data is from “the world bank”: Indicator Name Population, total (SP.POP.TOTL) Long definition Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates. Source (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme. Topic Health: Population: Structure Periodicity Annual Aggregation method Sum Statistical concept and methodology Population estimates are usually based on national population censuses. Estimates for the years before and after the census are interpolations or extrapolations based on demographic models. Errors and undercounting occur even in high-income countries. In developing countries errors may be substantial because of limits in the transport, communications, and other resources required to conduct and analyze a full census. The quality and reliability of official demographic data are also affected by public trust in the government, government commitment to full and accurate enumeration, confidentiality and protection against misuse of census data, and census agencies' independence from political influence. Moreover, comparability of population indicators is limited by differences in the concepts, definitions, collection procedures, and estimation methods used by national statistical agencies and other organizations that collect the data. The currentness of a census and the availability of complementary data from surveys or registration systems are objective ways to judge demographic data quality. Some European countries' registration systems offer complete information on population in the absence of a census. The United Nations Statistics Division monitors the completeness of vital registration systems. Some developing countries have made progress over the last 60 years, but others still have deficiencies in civil registration systems. International migration is the only other factor besides birth and death rates that directly determines a country's population growth. Estimating migration is difficult. At any time many people are located outside their home country as tourists, workers, or refugees or for other reasons. Standards for the duration and purpose of international moves that qualify as migration vary, and estimates require information on flows into and out of countries that is difficult to collect. Population projections, starting from a base year are projected forward using assumptions of mortality, fertility, and migration by age and sex through 2050, based on the UN Population Division's World Population Prospects database medium variant. Development relevance Increases in human population, whether as a result of immigration or more births than deaths, can impact natural resources and social infrastructure. This can place pressure on a country's sustainability. A significant growth in population will negatively impact the availability of land for agricultural production, and will aggravate demand for food, energy, water, social services, and infrastructure. On the other hand, decreasing population size - a result of fewer births than deaths, and people moving out of a country - can impact a government's commitment to maintain services and infrastructure. Limitations and exceptions Current population estimates for developing countries that lack (i) reliable recent census data, and (ii) pre- and post-census estimates for countries with census data, are provided by the United Nations Population Division and other agencies. The cohort component method - a standard method for estimating and projecting population - requires fertility, mortality, and net migration data, often collected from sample surveys, which can be small or limited in coverage. Population estimates are from demographic modeling and so are susceptible to biases and errors from shortcomings in both the model and the data. In the UN estimates the five-year age group is the cohort unit and five-year period data are used; therefore interpolations to obtain annual data or single age structure may not reflect actual events or age composition. Because future trends cannot be known with certainty, population projections have a wide range of uncertainty. General comments Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis. License URL https://datacatalog.worldbank.org/public-licenses#cc-by License Type CC BY-4.0
Views: 17 Anthony liu.
George Cuhaj, Editor of the Standard Catalog of World Coins and Paper Money
 
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George Cuhaj, Editor, Krause Publications The Standard Catalog of World Coins and the Standard Catalog of World Paper Money are two of the series of catalogs that give pricing information about more of the coins and bank notes of the entire world. Hear from George Cuhaj who is editor of these publications and discusses what is involved in their creation. George also shares his views about the numismatic hobby. Interviewer: David Lisot 3:36
Views: 1130 coinweek
【Top 20】  Which country has the most Elderly(ages 65+)?  【data visualization】
 
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Population ages 65+ (% of total) data is from “the world bank”: Indicator Name Population ages 65 and above (% of total) (SP.POP.65UP.TO.ZS) Long definition Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Source World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision. Topic Health: Population: Structure Periodicity Annual Aggregation method Weighted average Statistical concept and methodology Age structure in the World Bank's population estimates is based on the age structure in United Nations Population Division's World Population Prospects. For more information, see the original source. Total population is based on the de facto population including all residents regardless of legal status or citizenship. The values shown are midyear estimates. For more information see metadata for total population (SP.POP.TOTL). Development relevance Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Limitations and exceptions Because the five-year age group is the cohort unit and five-year period data are used in the United Nations Population Division's World Population Prospects, interpolations to obtain annual data or single age structure may not reflect actual events or age composition. For more information, see the original source. License URL https://datacatalog.worldbank.org/public-licenses#cc-by License Type CC BY-4.0
Views: 10 Anthony liu.
Israeli settlements, explained | Settlements Part I
 
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The maps that explain the settlers. You can watch a more comprehensive history of the Israel-Palestine here : https://www.youtube.com/watch?v=iRYZjOuUnlU Subscribe to our channel! http://goo.gl/0bsAjO Special thanks for B'Tselem for the use of their mapping data. Vox.com is a news website that helps you cut through the noise and understand what's really driving the events in the headlines. Check out http://www.vox.com to get up to speed on everything from Kurdistan to the Kim Kardashian app. Check out our full video catalog: http://goo.gl/IZONyE Follow Vox on Twitter: http://goo.gl/XFrZ5H Or on Facebook: http://goo.gl/U2g06o
Views: 3377633 Vox
【top 20】 Which country has the most childen(ages 0-14)?  【data visualization】
 
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Population ages 0-14 (% of total) data is from “the world bank”: Indicator Name Population ages 0-14 (% of total) (SP.POP.0014.TO.ZS) Long definition Population between the ages 0 to 14 as a percentage of the total population. Population is based on the de facto definition of population. Source World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision. Topic Health: Population: Structure Periodicity Annual Aggregation method Weighted average Statistical concept and methodology Age structure in the World Bank's population estimates is based on the age structure in United Nations Population Division's World Population Prospects. For more information, see the original source. Total population is based on the de facto population including all residents regardless of legal status or citizenship. The values shown are midyear estimates. For more information see metadata for total population (SP.POP.TOTL). Development relevance Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Limitations and exceptions Because the five-year age group is the cohort unit and five-year period data are used in the United Nations Population Division's World Population Prospects, interpolations to obtain annual data or single age structure may not reflect actual events or age composition. For more information, see the original source. License URL https://datacatalog.worldbank.org/public-licenses#cc-by License Type CC BY-4.0
Views: 6 Anthony liu.
World Bank eLibrary
 
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Access to World Bank's online collection of 6,000+ World Bank publications : Access to nearly 2,500 World Bank eBooks some dating from the 1970's plus all new eBooks as they are published Access to World Bank Economic Review and World Bank Research Observer Journals (currently published by OUP) since the 1970's Access to a growing archive of more than 4,200 Policy Research Working Papers Access to all World Bank flagships and annual publications (WDR, WDI, etc.)
Abu Dhabi University Library - The World Bank Data in Focus
 
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Abu Dhabi University Library - The World Bank Data in Focus This informative video from Abu Dhabi University Library will guide you to steps you should follow, in order to access the World Bank Data. The World Bank Data contains high quality national and international statistics, and global statistical programs, cross-country, cross-sector, thematic research outputs from the World Bank's main research unit, reports, information, analysis, and advice on global trends in the world economy.
Views: 200 ADULibraryRef
What is a Data Lake?
 
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George Crump of Storage Switzerland, and Fred Oh from Hitachi Data Systems explain the term “Data Lake”, and what it means for today’s analytics tools such as Pentaho, Hadoop, and Cassandra. The discussion includes real-world use cases, and also demonstrates how the underlying storage, compute, virtualization and networking infrastructure is critical for scaling hyper-converged analytics platforms.
Views: 41339 storageswiss
CSCI - E63 Google BigQuery Platform for Data Analytics
 
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The purpose of this presentation is to give you an overview about my final project - 2016 on Google BigQuery which is the final requirement for the course "Big Data Analytics". Through this demo I have used a data from World bank data Catalog to do some analytical work on BigQuery and return results to D3 to visualize it.
How to feel good about poverty
 
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If we ask the BIG QUESTIONS about poverty, we can expose its root causes and get real answers about how to stop creating it. How is poverty created? Why is growth the only answer? Who's developing who? Watch and share this short video to help get as many people asking the BIG QUESTIONS as we can. We’ve all heard the stories told about being poor: we’re ‘born into it’, or ‘it’s just the economy’, or ‘the wealth will trickle down’, or ‘we’re just lazy/unlucky/unfortunate’. These are such powerful stories that they’re easy to believe, but they all hide the fact that poverty is created by hundreds of years of history and inequality; things like colonialism, slavery, racism and resource theft. The United Nation’s (UN) Sustainable Development goals tell us another story: that things are getting better, and that if we keep doing things the way we are and growing the global economy we can end global poverty by 2030. It’s a wonderful goal, but growth won’t deliver it. Our pursuit of economic growth means that we are already ruining the planet at such a rate that – sooner than most people can imagine – large parts of it will become uninhabitable and to get everyone in the world living like an American we’d need the resources of 4.1 earths. We also recognise that nearly all of that growth will end up in the hands of the few – even now the 85 richest people in the world have the same amount of money as the poorest three billion and 18 times more money flows out of the global south every year than trickles into it, so who’s developing who? Sources for videos: Grow the global economy 175 times & 95% of all growth has gone t0 the richest 40%: http://wer.worldeconomicsassociation.org/papers/incrementum-ad-absurdum-global-growth-inequality-and-poverty-eradication-in-a-carbon-constrained-world/ 18 times more money flows out of the global south than trickles in This is a conservative estimate, calculated as follows: $135 billion in aid (http://www.oecd.org/dac/stats/development-aid-stable-in-2014-but-flows-to-poorest-countries-still-falling.htm) vs. $1.8 trillion in tax evasion and avoidance (see below) + $600 billion debt repayments (http://data.worldbank.org/data-catalog/international-debt-statistics) + $60 billion lost due to TRIPS (http://www.ourworldisnotforsale.org/en/article/wipo-seminar-debates-intellectual-property-and-development) Global Financial Integrity calculates that up to $900 billion (http://iff.gfintegrity.org/iff2012/2012report.html) flows out of the developing world into Western accounts each year through trade misinvoicing. But GFI’s figures do not reflect abusive transfer pricing, which the economist Raymond Baker estimates (http://books.google.co.uk/books?id=Wkd0--M6p_oC&printsec=frontcover&dq=capitalism%27s+achilles+heel&hl=en&sa=X&ei=MMrzU7fGPIWe0QWzqICgDA&redir_esc=y) is probably equivalent in scale to trade misinvoicing. So that’s another $900 billion that flows out of the developing world annually. What makes this figure conservative is that it doesn’t take into account $480 billion in lost potential GDP due to structural adjustment, as this figure isn’t directly comparable, or the $2.7 trillion estimated to be lost due to devaluation of labour in the global South, as these are estimates by one economist Gernot Kohler (http://wsarch.ucr.edu/archive/papers/kohler/kohler3.htm), and are around 20 years out of date and difficult to verify.
Views: 18731 TheRulesOrg
Japan Out Of Recession But Analysts Not Impressed
 
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Despite pulling itself out of recession, analysts aren't impressed with Japan's growth in the fourth quarter. Follow Jay Strubberg: http://www.twitter.com/JayStrubberg See more at http://www.newsy.com Sources: World Bank http://data.worldbank.org/data-catalog/GDP-ranking-table Getty Images http://www.gettyimages.com/detail/news-photo/man-serves-a-customer-at-the-tsukiji-fish-market-on-news-photo/140158335 BBC http://www.bbc.com/news/business-30077122 BBC http://www.bbc.com/news/business-30076942 Getty Images http://www.gettyimages.com/detail/news-photo/japanese-prime-minister-and-president-of-the-liberal-news-photo/459922108 Getty Images http://www.gettyimages.com/detail/news-photo/visitors-walk-through-the-nakamise-shopping-arcade-leading-news-photo/84148541 CNBC http://www.cnbc.com/id/102423577# BBC http://www.bbc.com/news/business-31483274 CNN http://money.cnn.com/2015/02/15/news/economy/japan-gdp-recession-abenomics/ Getty Images http://www.gettyimages.com/detail/news-photo/people-walk-on-the-street-in-akihabara-electric-town-on-may-news-photo/492426129 Getty Images http://www.gettyimages.com/detail/news-photo/people-walk-across-the-street-in-the-ginza-district-on-july-news-photo/88965909 The New York Times http://www.nytimes.com/2015/02/16/business/japans-economic-growth-weaker-than-expected.html?_r=0 Image via: Getty Images / Chris McGrath http://www.gettyimages.com
Views: 394 Newsy World
Introducing DevContacts
 
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What if your friends and family lived in a developing country? What would their lives be like? Find out with DevContacts. We've designed this nifty app to put a human face to worldwide aid and poverty statistics, and demonstrate progress towards United Nations Millennium Development Goals (MDGs). Each of the people in your address book is assigned one of 130+ countries, and their life re-imagined as if they had been born and raised there. Data for each country is sourced from the World Bank's Data Catalog of over 2,000 development indicators, available at data.worldbank.org To find out more, including tips on what you can do to help achieve the MDGs, visit the DevContacts page: www.devdas.com.au/devcontacts DevContacts - their lives, in your hands. Download this free iphone app at: itunes.com/apps/devcontacts
Views: 414 DevDASvideo
Rebuilding Trust through enhanced Data Privacy
 
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http://www.weforum.org/
Views: 1705 World Economic Forum
Energy Poverty: SOS
 
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Full Title: Energy Poverty: SOS by Kaitlin Tomlinson and Rachel Stukenborg Advised by: Dr. Christie-Joy Hartman and Dr. Maria Papadakis Abstract: The purpose of this project was to develop a set of university-level teaching and learning resources about energy poverty that incorporate a spherical display system, Science On a Sphere (SOS). Energy poverty, commonly understood as the lack of access to clean cooking fuels and electricity, is a complex problem that has detrimental health, economic, social, and environmental effects for both the people living in it and the global community. Furthermore, people living in energy poverty are trapped in a cycle of impoverishment because energy poverty interacts in a reinforcing feedback loop with global poverty. Individuals and societies suffering from energy poverty cannot escape it on their own, and combatting the issue requires action from developed countries. The goal of this project was to increase awareness of energy poverty among university students, and SOS was incorporated to facilitate students visualizing differences in energy access and the resulting consequences on a global scale. This capstone contributes to the emergent use of spherical display systems for formal education by developing materials that facilitate use of SOS by faculty. Four separate lesson “packages” regarding energy poverty were created. The first three explore the nature and consequences of energy poverty and are presented on SOS, while the fourth delves into the social, political, economic, and cultural dynamics of sustainable solutions and is taught after the SOS presentation. Each lesson package includes a background analysis, a comprehensive lesson plan, and supporting teaching and learning resources. The first three packages also include SOS “datasets” for select energy poverty indicators, such as access to non-solid fuels (% of population by country). Data were obtained from the World Bank’s Data Catalog and the Center for International Earth Science Information Network. Maps were created in ArcGIS and exported as individual, static image files for SOS.
Views: 42 JMU ISAT
【Top 20】 Which country has the most Normal person(ages 15-65)?  【data visualization】
 
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Population ages 15-65 (% of total) data is from “the world bank”: Indicator Name Population ages 15-64 (% of total) (SP.POP.1564.TO.ZS) Long definition Total population between the ages 15 to 64 as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. Source World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision. Topic Health: Population: Structure Periodicity Annual Aggregation method Weighted average Statistical concept and methodology Age structure in the World Bank's population estimates is based on the age structure in United Nations Population Division's World Population Prospects. For more information, see the original source. Total population is based on the de facto population including all residents regardless of legal status or citizenship. The values shown are midyear estimates. For more information see metadata for total population (SP.POP.TOTL). Development relevance Patterns of development in a country are partly determined by the age composition of its population. Different age groups have different impacts on both the environment and on infrastructure needs. Therefore the age structure of a population is useful for analyzing resource use and formulating future policy and planning goals with regards infrastructure and development. This indicator is used for calculating age dependency ratio (percent of working-age population). The age dependency ratio is the ratio of the sum of the population aged 0-14 and the population aged 65 and above to the population aged 15-64. In many developing countries, the once rapidly growing population group of the under-15 population is shrinking. As a result, high fertility rates, together with declining mortality rates, are now reflected in the larger share of the 65 and older population. Limitations and exceptions Because the five-year age group is the cohort unit and five-year period data are used in the United Nations Population Division's World Population Prospects, interpolations to obtain annual data or single age structure may not reflect actual events or age composition. For more information, see the original source. License URL https://datacatalog.worldbank.org/public-licenses#cc-by License Type CC BY-4.0
Views: 10 Anthony liu.
A Year of Open Data at the World Bank
 
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It's been one year since the World Bank made its data free and accessible. Developers and researchers around the globe are now using these data to try and find new solutions to key development problems.
Views: 4387 World Bank
11 FUNDAMENTOS PRINCIPALES DE LA GEOGRAFÍA ECONÓMICA
 
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DISCO 11 / SESIÓN 6 16-JUNIO-2015 11/16 Fundamentos principales de la geografía económica Prof. Dr. Christof Parnreiter Profesor invitado en la Facultad de Economía, UNAM Profesor de Geografía Económica, Universidad de Hamburgo Contacto: [email protected] Bibliografía Para facilitar una visión conjunta tanto como avanzar independiente del curso, la literatura que pongo a la disposición de [email protected] participantes es extensa. La literatura sirve para profundizar y ampliar los conocimientos proporcionados en el curso, pero no es obligatorio leer todo para el curso. Los textos son en inglés, ya que en las últimas décadas han sido sobre todo [email protected] autores anglófones que han marcado el debate. Los textos están EXCLUSIVAMENTE para el uso en el curso; por motivo de protección de derechos de autor no se permite distribuirlos o hacer accesibles a personas no enscritas en el curso. Sesión 6 Brown, Ed/Ben Derudder/Wim Pelupessy/Peter Taylor/Frank Witlox: 2010 World City Networks and Global Commodity Chains: towards a world-systems' integration. In: Global Networks 10, 1, 12-34 Gallup, John Luke/Jeffrey D. Sachs/Andrew D. Mellinger: 1999 Geography And Economic Development. In: International Regional Science Review 22, 2: 179–232 Gallup, John Luke /Alejandro Gaviria/Eduardo Lora: 2003 América Latina:¿Condenada Por Su Geografía? Banco Interamericano de Desarrollo. Washington, D.C. Gereffi, Gary/John Humphrey/Timothy Sturgeon: 2005 The Governance of Global Value Chains. In: Review of International Political Economy, 12, 1, 78–104. Livingstone, David N.: 2011 Environmental Determinism. In: John A Agnew/ David N. Livingstone (eds): The SAGE Handbook of Geographical Knowledge. SAGE, Los Angeles, 368-380 Parnreiter, Christof: 2014 Network or Hierarchical Relations? A Plea for Redirecting Attention to the Control Functions of Global Cities . In: Tijdschrift voor economische en sociale geografie, 105, 4, 398–411 Sachs, Jeffrey: 2001 Tropical Underdevelopment. Working Paper 8119, National Bureau of Economic Research, Cambridge. Sachs, Jeffrey D.: 2003 Institutions Don’t Rule: Direct Effects of Geography on Per Capita Income. NBER Working Paper No. 9490 Smith, Neil: 2008 (1984) Uneven Development. Nature, Capital and the Production of Space. Allen & Unwin. London, Sydney, 132-205. Van Hamme, Gilles/Geoffrey Pion: 2012 The Relevance Of The World-System Approach In The Era Of Globalization Of Economic Flows And Networks. In: Geografiska Annaler: Series B, Swedish Society for Anthropology and Geography, 65-81. World Bank: World Development Indicators. http://data.worldbank.org/data-catalog/world-development-indicators
Views: 192 EVENTOSFE UNAM
Become a Citizen Data Scientist | Allison Sagraves | TEDxBuffalo
 
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Using big data to solve problems isn't a job for researchers and academics, it's for anyone who wants to help. Allison Sagraves shows how you can help catalog penguins from your bed, or boost the populations of Monarch Butterflies during your coffee break. Allison Sagraves is the Chief Data Officer for M&T Bank, thought leader and change agent in the field of data. Allison has a Harvard MBA and is a frequent speaker on data, leadership, and innovation. Her talk on women’s leadership was named Best of 2014 by Ellevate Network. She has served on the White House staff as Assistant Staff Secretary to the President, and is a strong proponent of the transformational power of data for public good. With the rise of mobile devices, data is becoming democratized and Allison will talk about how we can all contribute to a better world by becoming Citizen Data Scientists. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 5576 TEDx Talks
OKCon 2011 Tariq Khokhar   Open Data at the World Bank  What we learned in a year and what’s next
 
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In April 2010, the World Bank embraced open data as a key part of the move towards more open development. Our public databases, including the World Development Indicators, are now available free of charge, in accessible formats, under an open license that encourages use and re-use. There are currently over 7,000 available time-series indicators, with around 1,200 available in 5 languages. The recently launched microdata catalog contains 600 surveys with over 250,000 searchable variables and there’s high demand for new data – valuable datasets: financial, operational and statistical, are being identified, curated and published. What have the implications of doing this been inside and outside the World Bank, and what have we learned? Should we expect open data to creatively disrupt the Bank’s work and that of the international development sector as a whole? What’s next for open data at The World Bank? by Tariq Khokhar on June 30th at 16:30 in Track I Tariq Khokhar is the World Bank’s Open Data Evangelist. His interests lie where technology, transparency, poverty and data meet. He formerly led innovation and community engagement work at Aidinfo and the International Aid Transparency Initiative (IATI). He also served as a director of Bond UK and Aptivate, where he delivered IT policy, strategy and implementation projects for governments, NGOs and international organisations across the developing world. okcon.org/2011/programme/open-data-at-the-world-bank-what-we-learned-in-a-year-and-whats-next
Open Data Catalogue Website Tutorial
 
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A step by step instruction on how the Open Data Catalogue works. This video demonstrates how to locate datasets, download them and how datasets can be use. This video also shows where to access the discussion forum, and submit ideas for data sets to The City. ​
Views: 879 City of Calgary
Informatica Chalk Talk: Data Management Competency for Analytics at the Speed of Business
 
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Data management expert David Lyle explains how IT can work with the business to deliver data when they need it. Video transcript and illustrations available at David's blog: http://infa.media/wp161109a Watch and then join the discussion with David on twitter @leanlyle - https://twitter.com/leanlyle Learn more about on our website - https://www.informatica.com/nextgenanalytics Watch more videos from this series here - https://www.youtube.com/playlist?list=PLDQNKHReEhj-D7_zcorv2ODm5497h2eWR About: Informatica helps you make data ready for use in any way possible, so you can put truly great data at the center of everything you do. For more from Informatica, connect with us below: Website: https://www.informatica.com Facebook: http://infa.media/Facebook Twitter: http://infa.media/Twitter LinkedIn: http://infa.media/LinkedIn Instagram: http://infa.media/Instagram Google+: http://infa.media/GooglePlus Blog: http://infa.media/Blogs
Views: 71836 Informatica LLC
Download the NASA Landslide Catalog for Your Research
 
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Want to download global landslide event data for your research or risk assessment? Learn how to get the data in a file geodatabase (.gdb), shapefile (.shp), or comma-separated values (.csv) format by downloading the entire NASA Cooperative Open Online Landslide Repository (COOLR) from Landslide Viewer, https://landslides.nasa.gov. The Cooperative Open Online Landslide Repository (COOLR) is a worldwide database of landslide events. It includes NASA’s Global Landslide Catalog (GLC) and landslide events contributed by citizen scientists. Learn more at https://landslides.nasa.gov.
Fast Data Strategy Virtual Summit 2018: Dave Wells (Eckerson Group)
 
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Register for Fast Data Strategy Virtual Summit: https://goo.gl/DjvoqA In this interview, Ravi Shankar, Chief Marketing Officer at Denodo, talks to Dave Wells, Practice Director for Data Management at Eckerson Group, one of the speakers at the Fast Data Strategy Virtual Summit 2018. Wells will be talking about the use of the dynamic data catalog, a sort of the new gold standard in meta data management. He will go through how it captures metadata from the data in order to present it to the individuals wanting to run analysis and reporting.
Views: 174 Denodo
Take a CKAN Tour
 
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Welcome to Open Knowledge Community Sessions! This week we will give an overview and tour of CKAN - the leading open source open data platform used by the national governments of the US, UK, Brazil, Canada, Australia, France, Germany, Austria and many more. This session will cover why data portals are useful, what they provide and showcase examples and best practices from CKAN's varied user base! Bring your questions on how to get started and best practices. Guest: Irina Bolychevsky, Services Director (Open Knowledge Foundation) Questions are welcome via G+ or Twitter. Host: Heather Leson Okfn.org http://ckan.org/ What is a Community Session: These Open Knowledge online events can be in a number of forms: a scheduled IRC chat, a community google hangout, a technical sprint or hackpad editathon. The goal is to connect the community to learn and share their stories and skills. Details: http://wiki.okfn.org/Community_Sessions_Schedule#About_the_Sessions
The World in a Day - Behind the Scenes with the UN Secretary-General
 
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United Nations, New York, September 2010 - United Nations Secretary-General Ban Ki-moon and his team during the 2010 General Assembly. Special thanks to the Executive Office of the Secretary-General, the Department of Safety and Security, Department of Public Information & Office for the Coordination of Humanitarian Affairs. Directed by David Ohana Produced by Vannina Maestracci & David Ohana Opening Music by Evermore (http://www.evermoreband.com)
Views: 151261 United Nations
BPO-Data Entry Services for Canada by PearlPen
 
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"There is now a way, to bring east, west and the 16th floor together, to sit at the same office, get their input, input it all into a single, well managed, well shared, well protected live document. Help your business flow with Pearl Pen Data Services" Pearl Post is an extended arm of your business. Our talent pool includes Programmers, network administrators, Business Analysts, Service Representatives, Sales and marketing professionals, Content Writers, Researchers and data entry operators. In this presentation, let us focus on Data Entry process! 1. Data entry jobs a. Web Based Data Entry b. Data Entry of E-Books c. Data Entry and compilation from web site d. Business Card Data Entry into any Format e. Catalog Data Entry f. Form Processing & Submission g. Entry from paper/books with high accuracy and speed h. Data Capture / Collection i. Data entry from Image file in any format j. Online Data Entry from hardcopy/printed material into MS Office k. Strategic Online Data Entry into Software Program and application l. Data Entry for Mailing List / Mailing Label m. Typing Manuscript into MS Word n. Copying, pasting, editing, sorting, and indexing data in to any format
Views: 2232 pearlpen
Survive and Thrive
 
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Interactive Visualization ZHdK Zurich University of the Arts Interaction Design http://iad.zhdk.ch 3. Semester / HS 2012 Students: Nils Solanki Mentors: Prof. Jürgen Späth, Magnus Rembold Survive and Thrive Survive and Thrive is an interactive infographic that lets you compare the development of survival infrastructure (clean water and sanitary facilities) and communication infrastructure (internet access and mobile phones) over time in different countries around the world. Over the last twenty years, we have seen a rapid expansion of communication technology throughout the world. Yet there are still plenty of countries whose population lacks access to basic survival infrastructure. For example, in 2010 statistically every Brazilian owned at least one mobile phone, yet 15% of the rural population didn't have access to clean water. Survive and Thrive, an interactive infographic, lets you compare survival and communication infrastructure development over time and in different countries around the world. The different modes highlight the development of infrastructure year by year or as a continuous stream, or allow you to focus on a specific indicator (e.g. clean water), giving you the complete overview over time. The system is built with Javascript libraries (d3js, rickshaw, JVectorMap, selectToAutocomplete and others) and SASS; the icons and animations are created using SVGs. The data (from the worldbank.org Data Catalog) is fetched from local country-specific JSON files. The application can be set up to display any kind of data from the world bank repository.
Views: 284 Jürgen Späth
The Real Patriarchy Part 2: The United Arab Emirates
 
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Sources. Unicef Studies: http://www.unicef.org/gender/gender_62215.html World Bank Data: http://data.worldbank.org/data-catalog/gender-statistics World Life Expectancies: https://en.wikipedia.org/wiki/List_of_countries_by_life_expectancy Average Marriage Age: http://www.uaeinteract.com/docs/Women_marry_earlier_than_men/752.htm US Women On Juries: https://www.aclu.org/blog/speakeasy/jury-ones-peers http://www.gettyimages.com/detail/news-photo/washington-dc-nine-robed-women-all-executive-board-officers-news-photo/515996632 Polygyny (Oh, The Horror!): http://www.ibtimes.co.uk/saudi-arabia-woman-demands-groom-marry-friends-459626 Domestic Discipline: http://www.thenational.ae/uae/courts/court-rules-on-domestic-discipline http://impunitywatch.com/lashing-and-deportation-punishment-for-having-sex-in-uae/ http://emirateswoman.com/know-your-rights-uae-law/ Female Literacy: http://www.thenational.ae/uae/education/sheikh-mohammed-bin-rashid-honours-uaes-top-student-in-the-arab-reading-challenge
Views: 263 Man Of Earth
Gangs on the Dark Web: Credit Card Scammers
 
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Credit card fraud has been on the rise for about a decade. In 2016 alone, losses topped $24 billion worldwide, half of which affected cardholders in the US. With a virtually unlimited amount of money to be made scamming, some tech-savvy criminals have turned ripping off credit card numbers into a full-time gig. VICE met up with a scammer for an inside look at the shady underground profession. He walked us through the process, showing us how he buys stolen accounts on the dark web, prints pilfered numbers on blank cards, and buys thousands of dollars worth of goods with stolen money. He also explained why he got into the game in the first place—and what it would take for him to get out. WATCH NEXT: The UK's Scariest Debt Collector -- https://youtu.be/TUzlmWWdjEQ Click here to subscribe to VICE: http://bit.ly/Subscribe-to-VICE Check out our full video catalog: http://bit.ly/VICE-Videos Videos, daily editorial and more: http://vice.com More videos from the VICE network: https://www.fb.com/vicevideo Click here to get the best of VICE daily: http://bit.ly/1SquZ6v Like VICE on Facebook: http://fb.com/vice Follow VICE on Twitter: http://twitter.com/vice Follow us on Instagram: http://instagram.com/vice Download VICE on iOS: http://apple.co/28Vgmqz Download VICE on Android: http://bit.ly/28S8Et0
Views: 1661193 VICE

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