Abstract copyright UK Data Service and data collection copyright owner.The European State Finance Database (ESFD) is an international collaborative research project for the collection of data in European fiscal history. There are no strict geographical or chronological boundaries to the collection, although data for this collection comprise the period between c.1200 to c.1815. The purpose of the ESFD was to establish a significant database of European financial and fiscal records. The data are drawn from the main extant sources of a number of European countries, as the evidence and the state of scholarship permit. The aim was to collect the data made available by scholars, whether drawing upon their published or unpublished archival research, or from other published material. The ESFD project at the University of Leicester serves also to assist scholars working with the data by providing statistical manipulations of data and high quality graphical outputs for publication. The broad aim of the project was to act as a facilitator for a general methodological and statistical advance in the area of European fiscal history, with data capture and the interpretation of data in key publications as the measurable indicators of that advance. The data were originally deposited at the UK Data Archive in SAS transport format and as ASCII files; however, data files in this new edition have been saved as tab delimited files. Furthermore, this new edition features documentation in the form of a single file containing essential data file metadata, source details and notes of interest for particular files. Main Topics: The files in this dataset relate to the files held in the Leicester database in the directory /rjb/.. File Information g138cod1. Direct taxation in the pays d'elections, 1594-1647 g138cod2. Direct taxation in the generalites of Chalons, Caen and Rouen, 1597-1643 g138eld1. Levy of the taille in the election of Paris, 1615-1787 g138elm1. Value in millions of hectolitres of wheat of levy of taille in the election of Paris, 1615-1787 g138elm2. The levy of taille in the election of Paris and in the generalites of Chalons, Caen and Rouen, 1597-1643 g138fd01. Direct taxation from the pays d'elections and the pays d'impositions, 1789 g138fd02. Total French expenditure, 1801-1844 g138fd03. Total French expenditure, 1815-1849 g138fd04. French revenues, 1815-1849 g138fd05. French government expenditure, 1815-1850 g138fd06. French government revenues from taxation, 1815-1850 g138fd07. The value of the taille in France, 1461-1609 g138fd08. Life rents and tontines, 1733-1788 g138fd09. Estimates of direct taxes and surtaxes collected in France, 1792-1829 g138fd10. Retrospective budgets of the Ancien Regime; Etats au vrai of the Ancien Regime g138fd11. Central government revenues and expenditures, 1727-1768 g138fm01. The value of the taille in France, 1461-1609, in millions of hectolitres of wheat, harvest and calendar years g138fm02. Revenue from direct taxation, total taxation and total revenue in France, 1815-29 g138ged1.* Repartition of the taille between elections of the generalite of Paris, 1688-1712 Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Abstract copyright UK Data Service and data collection copyright owner. A comparative analysis of concepts of property and property rights in Languedoc, Normandy and Burgundy in the late seventeenth century based on investigation of customs, legal commentaries, test cases, court cases, together with a selection of marriage contracts, wills, property transactions, government edicts and other decisions. The aims were to (a) clarify an area of considerable confusion by elucidating the character and basis of French property rights (b) demonstrate that modern property rights and a sense of absolute property rights were less developed than is often suggested and that contemporaries (c) show that, despite differences in the customs of different regions and in their legal procedures, particularly between the customary north and the 'Roman' south, property relations and the strategies pursued within them were similar. A further, longer term objective is to use the material to illuminate the differing evolution and formation of English and French society by comparing the emergence of modern concepts of property rights in the two countries.

Abstract copyright UK Data Service and data collection copyright owner. The aim of this study was to provide internationally comparable data on government funding of academic and related research in six countries (United Kingdom, France, West Germany, Netherlands, United States and Japan). This study comprises 52 individual tables containing the results from the data; the UK Data Archive does not hold the raw underlying data. No sampling (total universe)

The dataset is a record of the structure of UK government departments as organizational phases in the period 1st January 1980 to 31st December 2013. Each row in the dataset constitutes a single organizational phase, distinguished by a unique ID, delimited by a start and end date, linked to other phases through lists of successors and predecessors, and characterized by many time-invariant factors that describe organization attributes. Organizational phases describe the life history of organizational units for the sampling period by breaking that history into multiple, non-overlapping durations.The research asks why some administrative organizations are created then reorganized, merged, or terminated, whereas others are seemingly 'immortal' and even can become more powerful than the elected politicians that created and control them? This question has become pertinent, especially in the past three decades, within European parliamentary democracies. By the end of the 1970s, when the golden era of welfare state expansion and state growth came to an end, a new generation of political leaders such as President Ronald Reagan of the United States and Prime Minister Margaret Thatcher of the United Kingdom initiated a series of administrative reform trajectories - privatization, deregulation, agencification, liberalization, decentralization, and New Public Management - with the aim to fundamentally alter the scope and scale of central government and sparked off several reform trajectories across the developed and developing economies. However, Western politicians who embarked on these trajectories soon found out that changing the structure and organization of their central governments was a hard nut to crack. When successful, the consequences of succeeding in reforms were often increasing fragmentation and rising coordination costs. The difficulties encountered by politicians when embarking on the road of administrative change mean that taming and changing the structure and organization of government, designing it so as to have government serve the interests of the public, is not an easy goal to reach. This project develops and applies a novel framework that will systematically map and explain organizational changes within central government cross-nationally in four European parliamentary democracies, France, Germany, the Netherlands and the United Kingdom, over the last three decades, the period following the initiation of New Public Management reforms in the United Kingdom and elsewhere in advanced economies. The framework identifies patterns of change in and between ministries and agencies. It compares the organizational change not only between and across countries, but also within and across specific policy sectors. The framework is longitudinal as it traces organizational changes across time. This project builds upon the most influential theory of the structure and organization of central governments, which is the theory of the politics of structural choice. This theory, developed and applied within the context of the United States presidential system, claims that the structure and organization of central government is the resultant of political negotiations on the institutional design of administrative organizations between the main political actors. To be more precise, the theory argues that the structure of central government is a function of politicians' preferences for institutional designs that insulate administrative organizations from direct political control. The theory has been tested in the United States but this project analyses the machineries of central government that exist within the context of parliamentary democracies. We ask: To what extent do changes to the structure and organization of central government within European parliamentary democracies follow the same political logic as Lewis has found for the national state in the US presidential separation-of-power system? To what extent is political insulation a driving logic of administrative design? If not, what are the determinants of administrative design in parliamentary democracies and what is the role that institutions play? Can the theory of structural choice, once adapted to parliamentary democracies, explain changes - or the lack thereof - within the institutional context of parliamentary democracies? Coding by a team of reseachers of Civil Service Yearbooks, Department Organograms, supplemented by other government publications about administrative reform from National Archives.

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows two condensed maps which use dots and proportional circles to illustrate the distribution of population of French and British origin, respectively, according to the 1951 census of Canada. Each map is accompanied by a pie chart which shows the British origin and French origin percentage population distribution by province and territory. For Canadian census purposes, a person's origin or cultural group is traced through the father to the paternal ancestor on first arrival to this continent. The term 'British' embraces all those of British Isles origin, that is, it includes those from the United Kingdom of Great Britain and Northern Ireland, the Isle of Man, the Channel Islands and the Republic of Ireland.

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

Purpose:

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh).

This dataset provides values for GOVERNMENT DEBT TO GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This collection consists of a massive array of economic time series data pertaining to the United States, United Kingdom, Germany, and France, measuring production, construction, prices, income, employment, inventories, sales, interest rates, money supply, and a variety of other factors. These data were collected by the National Bureau of Economic Research (NBER) during the past five decades, and constitute a research resource of major importance to economists as well as political scientists, sociologists, historians and other scholars. Under a grant from the National Science Foundation, the Consortium and the National Bureau of Economic Research converted this collection (which existed heretofore only on handwritten sheets stored in New York) into fully accessible, readily usable, and completely documented machine-readable form. The NBER collection--now containing an estimated 1.6 million entries--is divided into 16 major categories: I. Production of Commodities II. Construction III. Transportation and Public Utilities IV. Prices V. Stocks of Commodities VI. Distribution of Commodities VII. Foreign Trade VIII. Income and Employment IX. Financial Status of Business X. Savings and Investment XI. Security Markets XII. Volume of Transactions XIII. Interest Rates XIV. Money and Banking XV. Government Finance XVI. Indexes of Leading, Coincident and Lagging Indicators Data from all categories are currently available from ICPSR as twenty-four OSIRIS datasets. The economic variables of the datasets are usually observations on the entire nation or large subsets of the nation. Frequently, however, and especially in the United States, separate regional and metropolitan data are included in other variables. This makes cross-sectional analysis possible in many cases. The time span of variables in these files may be as short as one year or as long as 160 years. Chronologically, most data fall within the first half of the twentieth century. Many series, however, extend into the 19th century, and a few reach into the 18th. The oldest series, covering brick production in England and Wales, begins in 1785, and the most recent United States data extend to 1968. Data in the NBER collected were reported at annual, quarterly, or monthly intervals. Most of the data are monthly observations, and practically all monthly variables contain annual values as well. Infrequently, a variable may contain monthly, quarterly, and annual data. Next to monthly series in number are annual series, which contain only annual values. Quarterly series, of which there are relatively few, contain, like the monthly series, implied annual values. Most of the quarterly and monthly data is presented in both original and seasonally-adjusted form. Additional information on the content and characteristics of each series is available from the Center for International Business Cycle Research, Rutgers University, Newark, N.J. 07102.

The UK team conducted 39 formal face to face interviews in the UK, 4 in France, 8 in Netherlands and 5 in Germany. In addition, we hosted 3 workshops in the UK, which brought together numerous senior regulators from the UK as well as the other three countries to discuss risk-based regulation. HowSAFE undertook a comparative investigation of the factors shaping the adoption of risk-based approaches to governance across six policy domains: occupational health and safety, flooding, food-safety, healthcare, criminal justice and education - in four European countries-France, Germany, Netherlands and UK. In so doing, it: 1) documented the application of risk-based governance across policy domains and national settings; 2) compared the application of risk instruments within and between policy domains; 3) explained the factors driving and constraining risk-based governance in Europe, and will reflect more broadly on how states account for failure and the limits of governance.‘Risk-based’ approaches to governance are increasingly internationally promoted as universally applicable foundations for improving the quality, efficiency, and rationality of governance across policy domains. Premised on the idea that governance cannot eliminate all adverse outcomes, risk-based approaches take into account both the probability as well as the impact of potential adverse governance outcomes. In so doing, such approaches provide a means of rationalising the limits of what governance interventions can, and should, achieve. However, such approaches embody particular understandings about the meaning of governance 'failure' and 'success' and as such can conflict with governance norms and accountability structures as well as societal expectations. Combining interview and documentary research methods, HowSAFE pursued an iterative approach to data collection and analysis, designed to cross-validate emerging conclusions though source, case, and investigator triangulation. Each team conducted desk-based policy reviews to better understand regulatory doctrines and practices, legal frameworks, and accountability structures of the case-study policy domains in its own country. Emerging hypotheses were then refined through a purposeful sample of in-depth interviews with government officials, interest group representatives and other key stakeholders involved in each domain. Recorded and transcribed, those semi-structured interviews probed issues emerging from the policy reviews and explored ‘backstage’ processes not visible through formal documentary analysis.

This is the Twitter Parliamentarian Database: a database consisting of parliamentarian names, parties and twitter ids from the following countries: Austria, Belgium, France, Denmark, Spain, Finland, Germany, Greece, Italy, Malta, Poland, Netherlands, United Kingdom, Ireland, Sweden, New Zealand, Turkey, United States, Canada, Australia, Iceland, Norway, Switzerland, Luxembourg, Latvia and Slovenia. In addition, the database includes the European Parliament.The tweet ids from the politicans' tweets have been collected from September 2017 - 31 October 2019 (all_tweet_ids.csv). In compliance with Twitter's policy, we only store tweet ids, which can be re-hydrated into full tweets using existing tools. More information on how to use the database can be found in the readme.txt.It is recommended that you use the .csv files to work with the data, rather than the SQL tables. Information on the relations in the SQL database can be found in the Database codebook.pdf.Update:The tweet ids for 2021 have been added as '2021.csv'Update #2:The tweet ids for 2020 have been added as '2020.csv'The last party table has been added as 'parties_2021_04_28.csv'The last members table has been added as 'members_2021_04_28.csv'

Reports on the travel of Energy Minister Mel Knight traveled to London, England and Paris, France to meet with European legislators and encourage business leaders to consider increased investment in Alberta’s energy sector.

Territorial sea boundary between UK and France

This project examines how new media are affecting political participation and campaigning in elections worldwide with particular reference to UK and Australian parliamentary elections (2010) and French and US presidential elections (2012). It focuses on the uptake of web 2.0 tools by parties, candidates and voters and asks whether this process is fostering a new type of networked political activism-citizen-campaigning - that challenges established modes of election behaviour and management. More specifically, do the new technologies of blogs, online video and social networking sites enable 'ordinary' voters to play a greater role in the coordination and communication of the campaign, thereby shifting power away from established elites, party members and activists? If so, what factors help to promote this new type of activism at the individual, organisational and institutional level and what does it mean for parties, participation and the wider political system? Do the new forms of engagement ultimately strengthen the representative model government or encourage a more direct style of involvement by citizens and a by-passing of intermediaries? The research questions are explored using a range of original data including campaign sites, elite and public opinion surveys and new and innovative methodologies developed specifically for web 2.0 platforms. Surveys Elections studied: - United Kingdom 2010 General Election - Australia 2010 Federal Parliamentary Election - France 2012 Presidential Election - United States 2012 Presidential Primaries and General election Data collected: In each case a series of elite and mass-level datasets was collected for meaningful cross-country comparisons to be drawn. The key datasets include: - Opinion surveys of citizens online and offline political activities and attitudes during all 4 countries’ elections. - Party and candidates’ official election websites and web 2.0 presence (i.e. Facebook, blogs, YouTube, Twitter sites) - E-campaign manager surveys - Elite interviews with e-campaign managers, prominent journalists covering the e-election, and political bloggers

Dataset showing the 2014 Tour de France route within the Leeds metropolitan district boundary.

Please note

• This dataset is a one-off publication.

Licence information

• This dataset includes Ordnance Survey derived data. As such, you may use this for personal, non-commercial use only. By accessing the data you are deemed to have accepted the Public Sector End User Licence – INSPIRE. Further details can be found by following the link: http://www.ordnancesurvey.co.uk/business-and-government/public-sector/mapping-agreements/inspire-licence.html

• If you wish to re-use this dataset for commercial purposes, please contact Ordnance Survey at https://www.ordnancesurvey.co.uk/contact

• © Crown copyright and database rights 2014. Ordnance Survey, LA 100019567

This table contains 30 series, with data for years 1986 - 2012 (not all combinations necessarily have data for all years), and was last released on 2013-01-09. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Canada; United States; France; United Kingdom ...), Consumer Price Index (CPI) (1 items: Consumer Price Index (CPI) ...), Base year (3 items: 1995=100; 2005=100; 2000=100 ...).

Abstract copyright UK Data Service and data collection copyright owner. The primary aim of the research project was to present an overview of Britain's relative competitive performance in the postwar period. Previous research in this area has concentrated on either the total economy or on manufacturing. The aim of the project was to broaden the scope of research by examining competitive performance for all sectors of the aggregate economy. To do so, a dataset was constructed to enable measurement of productivity (both labour and total factor productivity) and unit labour costs comparing Britain to four of her major competitors, i.e. the US, France, Germany and Japan. The research was concerned with to what extent the performance at the aggregate economy level was affected by the inclusion of non-market services (health, education and government), which are poorly measured in the national accounts. Differences in performance between service sectors and production industries were also analysed. Main Topics: The dataset contains the raw data necessary to enable an evaluation of Britain's relative competitive performance at the sector level. Hence the dataset contains annual time series, from 1950 to 1995, on real output (generally value added), number of persons engaged, average annual hours worked, net capital stocks, labour force skills and labour's share of value added. It also includes benchmark estimates of relative productivity levels for 1993. The data are available for a maximum of 33 sectors, some of which are broad sectors and some comprise sub-industries with these broad sectors. The sectors included are : 1. Agriculture, forestry and fishing; 2. Mining and oil refining (2.1 oil and gas extraction, 2.2 other mining, 2.3 mineral oil refining); 3. Utilities (3.1 electricity, 3.2 gas, 3.3 water supply); 4. Manufacturing 5. Construction 6. Distributive trades (6.1 wholesale trade, 6.2 retail trade, 6.3 hotels and catering); 7. Transport and communications (7.1 rail transport, 7.2 water transport, 7.3 air transport, 7.4 other transport & transport services, 7.5 communications); 8. Financial & business services (8.1 banking & finance, 8.2 insurance, 8.3 business services); 9. Miscellaneous personal services; 10. Non-market services (10.1 health, 10.2 education, 10.3 government) plus the total for the aggregate economy and the total over market sectors (excluding non-market sectors). The manufacturing sectors are : 4.1. Chemicals and allied products (4.11 chemicals, 4.12 rubber and plastics); 4.2. Metals (4.21 basic metals and 4.22 metal products); 4.3. Engineering industries (4.31 mechanical engineering, 4.32 office machinery, 4.33 electrical engineering, 4.34 mo tor vehicles, 4.45 other transport equipment, 4.36 instrument engineering); 4.4. Textile and related products (4.41 textiles, 4.42 clothing, footwear and leather); 4.5. Food, drink and tobacco and 4.6. Other manufacturing (4.61 non-metallic mineral products, 4.62 wood & furniture, 4.63 paper & printing, 4.64 miscellaneous manufacturing. The data originate from official publications but include adjustment to render them internationally comparable. Data limitations imply that the series are not always available for all sectors in all countries. The most complete data series are for the US, the UK and Germany - less detail is available for France and Japan. The data represent in some cases a complete, and in some cases a partial transcription of original sources. Adjustments were made to the original sources to render them consistent across both time and countries. For example, in constructing real output for the US, the data are those published for Construction, indexed to 1993=100. For the communications sector, however, the US industry definition includes telecommunications, radio and TV, whereas communications in all other countries comprise telecommunications and postal services. Hence for the US output of the postal services (included with the Federal Government) was estimated and added to output in telecommunications. For further details, please see documentation. The dataset contains the following files : NISECQ.xls: Real value added by sector, (index, 1993=100). NISECMQ.xls: Real value added in manufacturing industries, (index, 1993=100). NISECE.xls: Number of persons engaged by sector, (thousands of persons). NISECME.xls: Number of persons engaged in manufacturing, (thousands of persons). NISECHR.xls: Annual average hours per worker by sector, (number of hours). NISECMHR.xls: Annual average hours per worker in manufacturing, (number of hours). NISECPR.xls: Value added per hour worked by sector, (index, 1993=100). NISECMPR.xls: Value added per hour worked in manufacturing, (index, 1993=100). NISECK.xls: Capital services by sector, (index, 1993=100). NISECMK.xls: Capital services in manufacturing, (index, 1993=100). (this file does include a spreadsheet for Japan ) NISECLS.xls: Labour's share of value added by sector, (proportions). NISECMLS.xls: Labour's share of value added in manufacturing, (proportions). (this file does include a spreadsheet for Japan) NISECSK.xls: Labour force skills by sector, divided into higher level, intermediate level and low skills (percent of the workforce). Note: these data are available only for the US, the UK and Germany. NISECMSK.xls: Labour force skills in manufacturing, divided into higher level, intermediate level and low skills (percent of the workforce). Note: these data are available only for the US, the UK and Germany. NISECLV.xls: Relative levels of value added per hour worked and capital per hour worked in 1993, (UK=100). This contains one spreadsheet for sectors and one for manufacturing. No information recorded

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Data Visualization Tools Market Size 2025-2029

The data visualization tools market size is forecast to increase by USD 7.95 billion at a CAGR of 11.2% between 2024 and 2029.

The market is experiencing significant growth due to the increasing demand for business intelligence and AI-powered insights. Companies are recognizing the value of transforming complex data into easily digestible visual representations to inform strategic decision-making. However, this market faces challenges as data complexity and massive data volumes continue to escalate. Organizations must invest in advanced data visualization tools to effectively manage and analyze their data to gain a competitive edge. The ability to automate data visualization processes and integrate AI capabilities will be crucial for companies to overcome the challenges posed by data complexity and volume. By doing so, they can streamline their business operations, enhance data-driven insights, and ultimately drive growth in their respective industries.

What will be the Size of the Data Visualization Tools Market during the forecast period?

Request Free SampleIn today's data-driven business landscape, the market continues to evolve, integrating advanced capabilities to support various sectors in making informed decisions. Data storytelling and preparation are crucial elements, enabling organizations to effectively communicate complex data insights. Real-time data visualization ensures agility, while data security safeguards sensitive information. Data dashboards facilitate data exploration and discovery, offering data-driven finance, strategy, and customer experience. Big data visualization tackles complex datasets, enabling data-driven decision making and innovation. Data blending and filtering streamline data integration and analysis. Data visualization software supports data transformation, cleaning, and aggregation, enhancing data-driven operations and healthcare. On-premises and cloud-based solutions cater to diverse business needs. Data governance, ethics, and literacy are integral components, ensuring data-driven product development, government, and education adhere to best practices. Natural language processing, machine learning, and visual analytics further enrich data-driven insights, enabling interactive charts and data reporting. Data connectivity and data-driven sales fuel business intelligence and marketing, while data discovery and data wrangling simplify data exploration and preparation. The market's continuous dynamism underscores the importance of data culture, data-driven innovation, and data-driven HR, as organizations strive to leverage data to gain a competitive edge.

How is this Data Visualization Tools Industry segmented?

The data visualization tools industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloudCustomer TypeLarge enterprisesSMEsComponentSoftwareServicesApplicationHuman resourcesFinanceOthersEnd-userBFSIIT and telecommunicationHealthcareRetailOthersGeographyNorth AmericaUSMexicoEuropeFranceGermanyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.The market has experienced notable expansion as businesses across diverse sectors acknowledge the significance of data analysis and representation to uncover valuable insights and inform strategic decisions. Data visualization plays a pivotal role in this domain. On-premises deployment, which involves implementing data visualization tools within an organization's physical infrastructure or dedicated data centers, is a popular choice. This approach offers organizations greater control over their data, ensuring data security, privacy, and adherence to data governance policies. It caters to industries dealing with sensitive data, subject to regulatory requirements, or having stringent security protocols that prohibit cloud-based solutions. Data storytelling, data preparation, data-driven product development, data-driven government, real-time data visualization, data security, data dashboards, data-driven finance, data-driven strategy, big data visualization, data-driven decision making, data blending, data filtering, data visualization software, data exploration, data-driven insights, data-driven customer experience, data mapping, data culture, data cleaning, data-driven operations, data aggregation, data transformation, data-driven healthcare, on-premises data visualization, data governance, data ethics, data discovery, natural language processing, data reporting, data visualization platforms, data-driven innovation, data wrangling, data-driven s

Political and economic attitudes of the population of Berlin. Topics: Assessment of the political development of Berlin and satisfaction with the policies of Federal Chancellor Kiesinger as well as the mayor; local ties and significance of the presence of the western powers for one´s remaining in Berlin; assumed attitudes of the government in France, England and the USA to Berlin; attitudes to students and recognition of the GDR; concerns about an impending economic crisis. Demography: age (classified); sex; marital status; number of children in household; religious denomination; school education; vocational training; occupation; professional position; employment; income; size of household; head of household; management district. Politische und ökonomische Haltungen der Berliner Bevölkerung. Themen: Einschätzung der politischen Entwicklung Berlins und Zufriedenheit mit der Politik des Bundeskanzlers Kiesinger sowie des Regierenden Bürgermeisters; Ortsverbundenheit und Bedeutung der Anwesenheit der Westmächte für den eigenen Verbleib in Berlin; vermutete Einstellungen der Regierungen in Frankreich, England und den USA zu Berlin; Einstellungen zu Studenten und zur Anerkennung der DDR; Sorgen um eine bevorstehende Wirtschaftskrise. Demographie: Alter (klassiert); Geschlecht; Familienstand; Anzahl der Kinder im Haushalt; Konfession; Schulbildung; Berufsausbildung; Beruf; berufliche Position; Berufstätigkeit; Einkommen; Haushaltsgröße; Haushaltungsvorstand; Verwaltungsbezirk. Quota sample Quotenauswahl nach Verwaltungsbezirken, Geschlecht, Alter und Beruf

The history of taxation and public finance of major European industrial nations complements and broadens the knowledge about the history of European industrialization. The national budget shows the amount and use of government expenditure and the government revenue used to cover the expenditure in kind and scope. Eckart Schremmer includes in his international comparative study on taxes and national finances during the industrialization of Europe England, France, Prussia and the German Empire between 1800 and 1914. The study is structured in four chapters, each chapter deals with a nation: England, France, Prussia, and the German Empire. The content of the chapters are structured in a similar way, both in text and in the data-tables. The comparative research approach is based on a dense empirical and statistical basis of contemporary statistical quality. The reader gets an impression of the processes of growth and structural change. The data tables in HISTAT are limited to the summary tables containing time series of Prussia and the German Reich. Topics: Datatables in the search- and downloadsystem HISTAT: A. Tax system and national budget in Prussia A.01 Indicatore, figures on public finances, Prussia (1688-1807) A.02 Structure and revenues of the national budget, prussia (1800-1812) A.03 National territory and population of Prussia (1786-1867) A.04 Tax revenues by social classes, Prussia (1822-1847) A.05 Structure of tax revenues, Prussia (1816-1821) A.06 National expeniture of Prussia, net (1821-1850) A.07 State revenues of Prussia, net (1821-1850) A.08 National dept and national income, Prussia (1794-1913) A.09 State revenues Prussia, brute (1847-1870) A.10 State expenditures Prussia, brute (1847-1870) A.11 State revenues Prussia, brute (1875-1913) A.12 State expenditures Prussia, brute (1875-1913) A.13.a Male Pupils by school-type in Prussia, in 1000 (1822-1911) A.13.b Public expenditure on education by school-type, in Million Mark, Prussia (1864-1911) B. The financial system of the German Empire and the relations between the Empire and it´s member states B.01 Labor- and capital income in the German Empire (1874-1914) B.02 Financial compensation between the German Empire and its Memberstates in million Mark (1872-1919) B.03 Dept of the Empire (1877-1914) B.04 Indebtedness of European nation-states in comparison in billion units of the respective State´s currency (1914-1924) B.05 The Indebtedness of the local authorities of the German Empire, in billion mark (1914-1919) B.06 Total expenditure of the German Empire in million mark (1876-1913) B.07 Ordinary and extraordinary expenses of the empire for civilian purposes, in million Mark (1872-1912) B.08 Ordinary revenues of the German Empire in million mark (1872-1913)