Home - Eurostat Home Welcome to Eurostat The home of high-quality statistics and data on Europe Learn more about us EU key indicators Skip the carousel Loading Explore data & tools Database Statistical themes Interactive publications Data visualisations Latest news View all Asset Publisher © Avirid/stock.adobe.com EU household gas prices decrease in first half of 2026 30 October 2026 © fizkes/Shutterstock.com Euro area unemployment at 6.5% © weyo/stock.adobe.com GDP up by 0.4% in the euro area © Dragon Claws/stock.adobe.com Household electricity prices ease in 1st half of 2026 © gabczi/Shutterstock.com Rail passenger transport increased by 2.6% in 2025 EU and euro area tax-to-GDP ratio up in 2025 29 October 2026 © piai/stock.adobe.com 94.4% of EU children in early childhood education © Perytskyy/stock.adobe.com Waste generation in the EU: 1 697 kg per capita in 2024 Quick access Release calendar Statistics Explained Podcasts Events and webinars In focus Webinar New Is Europe urban or rural? Podcast New Listen to our podcast on agriculture
How Big Data Carried Graph Theory Into New Dimensions 5 Awesome Free Data Analysis Tools: Extract, Clean, and Share Your Data 05.01.2016 by Marisa Krystian Data analysis is the process of cleaning, inspecting, transforming, and modeling data in order to uncover useful information. Data analysis can be tricky! But, with these five free online tools, you’ll be able to clean up, search, share, extract, and convert data with ease. Mr. Mr. Wolfram Alpha This amazing ‘knowledge’ engine brings you broad, deep, expert-level information in an instant. Import.io Import.io makes advanced web data extraction easy, by turning websites into spreadsheets! Panda Project Panda Project makes data journalism easier than ever. OpenRefine OpenRefine is an open source tool for cleaning up messy data. While it’s true these tools make data analysis easier, it is important to note that they are only as valuable as the information you put in and the analysis you conduct. Once your data is ready, you can use data visualization tools like Infogr.am to bring it to life.
Organisation for Economic Co-operation and Development The Organisation for Economic Co-operation and Development (OECD) (French: Organisation de coopération et de développement économiques, OCDE) is an intergovernmental economic organisation with 35 member countries, founded in 1960 to stimulate economic progress and world trade. It is a forum of countries describing themselves as committed to democracy and the market economy, providing a platform to compare policy experiences, seeking answers to common problems, identify good practices and coordinate domestic and international policies of its members. Most OECD members are high-income economies with a very high Human Development Index (HDI) and are regarded as developed countries. In 1948, the OECD originated as the Organisation for European Economic Co-operation (OEEC),[1] led by Robert Marjolin of France, to help administer the Marshall Plan (which was rejected by the Soviet Union and its satellite states[2]). History[edit] Organisation for European Economic Co-operation[edit] Aim[edit]
Data and Documentation | European Social Survey (ESS) The ESS covers a wide range of topics, organised in core and rotating modules. You can access data and documentation for each topic from the table below. If you are interested in a specific country, the table below gives you access to data and documentation for any of the 36 countries that have taken part so far. Our Online Analysis tool allows you to analyse data from a specific ESS round without leaving your browser Use the Wizard to customise and download a cumulative data file for the rounds (years), countries and variables you are interested in Put ESS data in context by analysing it alongside region- and country-level data from other sources, either online or via a customised data file The Cross-National Online Survey (CRONOS) is a pilot web panel recruited on the back of ESS Round 8 in three countries. Media claims data provides systematic information about context, as reported in national media outlets, at the time of the data collection for ESS Rounds 6, 7 and 8
How to become data literate and support a data-driven culture - Compact Despite the growing possibilities to collect, store, report and analyze data, organizations still struggle to transform their businesses. Business value needs to be unlocked from data; businesses need to address their growth, risk and cost strategies to truly enable employees and create the fundamental value they need to ‘talk’ data and become more data-literate. Introduction Digital transformation is the name of the game these days for many organizations. This is founded in a wide and impressive range of new (information and communication) technologies that have a growing impact on business outcomes ([John18]). However, while most organizations focus on the potential of data-driven technologies (like data lakes, data platforms and incorporating artificial intelligence or machine learning), the technologies must be carefully cultivated to become a trusted core capability. Data Literacy Figure 1. Understand In order to start working with data, you need to be able to understand the data.
The Unofficial Google Data Science Blog MarketResearch.com: Market Research Reports and Industry Analysis Great Britain Historical Documentation System/Home Page Available Parts: Information about Economic Distress and Labour Markets: The database includes a wide range of indicators of economic distress, most obviously unemployment and Poor Law statistics but also 'Small Debt Plaints' and the marriage rate. This is the oldest part of the GBH database, being based on the earlier Labour Markets Database (LMDB) funded by the Leverhulme Trust in 1989-91, and including some data from earlier research by Humphrey Southall in the late 1970s and early 1980s. Information about Health and Health Care: This part of the database includes a large body of data on mortality, taken from the various reports of the Registrar General. Development of this area of the database is supported by funding from the Wellcome Trust. Information from the Census of Population since 1801: Supporting information, including changing geographies: This part of the database contains information which aids interpretation of the other parts.
Dashboards — HoloViz 0.12.0 documentation This dashboard should work in the notebook interface (with widgets shown separately from the plots above) for debugging, but a complex layout like that is meant to be served separately, e.g. using panel serve --port 5067 06_Dashboards.ipynb run in this directory. If working with the anaconda-project version of this tutorial, you can run: anaconda-project run dashboard Note that the code above can instead be pasted into a Python text file and run with panel serve file.py; none of the machinery depends on Jupyter or on being stored in the notebook format, and apps can be developed fully in text editors if preferred. The techniques above and in the previous notebooks should enable you to build complex, deeply interlinked layouts and dashboards that help you understand your data and uncover hidden relationships, with custom interactivity for exploring any parameters of interest.
Tres bases de datos gratuitas que cualquiera puede usar (Primera parte) Agenda del documento Introducción Unión Internacional de las Telecomunicaciones Internet World Statistics KAM Introducción La apropiación de las tecnologías de la información y las comunicaciones (TIC) juega un rol esencial en las sociedades contemporáneas de cara al mejoramiento de la calidad de vida. La Unión Internacional de las Telecomunicaciones (ITU: International Telecommunications Union), organización de Naciones Unidas, ofrece información gratuita en Fuente: En hay disponible información libre acerca de indicadores básicos acerca de tasas de penetración de internet, telefonía fija, móvil, número de suscriptores, ingreso per cápita para 223 países. Fuente: Fuente: 2. Ejemplo de información básica: 3.