25 datasets found
  1. T

    Turkey Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 3, 2025
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    TRADING ECONOMICS (2025). Turkey Inflation Rate [Dataset]. https://tradingeconomics.com/turkey/inflation-cpi
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1965 - Jun 30, 2025
    Area covered
    Turkey
    Description

    Inflation Rate in Turkey decreased to 35.05 percent in June from 35.41 percent in May of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. T

    Pakistan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 1, 2025
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    TRADING ECONOMICS (2025). Pakistan Inflation Rate [Dataset]. https://tradingeconomics.com/pakistan/inflation-cpi
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1957 - Jun 30, 2025
    Area covered
    Pakistan
    Description

    Inflation Rate in Pakistan decreased to 3.20 percent in June from 3.50 percent in May of 2025. This dataset provides the latest reported value for - Pakistan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. 2022 Economic Census: EC2221BASIC | Mining: Summary Statistics for the U.S.,...

    • data.census.gov
    Updated Dec 5, 2024
    + more versions
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    ECN (2024). 2022 Economic Census: EC2221BASIC | Mining: Summary Statistics for the U.S., States, and Selected Geographies: 2022 (ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022) [Dataset]. https://data.census.gov/table/ECNBASIC2022.EC2221BASIC?q=EC2221BASIC
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    Dataset updated
    Dec 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Mining: Summary Statistics for the U.S., States, and Selected Geographies: 2022.Table ID.ECNBASIC2022.EC2221BASIC.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Summary Statistics for the U.S., States, and Selected Geographies: 2022.Source.U.S. Census Bureau, 2022 Economic Census, Core Statistics.Release Date.2024-12-05.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Number of firmsNumber of establishmentsSales, value of shipments, or revenue ($1,000)Annual payroll ($1,000)First-quarter payroll ($1,000)Number of employeesProduction and/or development and exploration workers annual wages ($1,000)Production and/or development and exploration workers for pay period including March 12Construction, production and/or development and exploration workers annual hours (1,000)Other employees annual wages ($1,000)Other employees for pay period including March 12Total fringe benefits ($1,000)Employer's cost for health insurance ($1,000)Employer's cost for defined benefit pension plans ($1,000)Employer's cost for defined contribution plans ($1,000)Employer's cost for other fringe benefits ($1,000)Total cost of supplies and/or materials ($1,000)Cost of materials, components, packaging and/or supplies used, minerals received, or purchased machinery installed ($1,000)Cost of resales ($1,000)Cost of contract work ($1,000)Cost of purchased fuels consumed ($1,000)Cost of purchased electricity ($1,000)Quantity of electricity purchased for heat and power (1,000 kWh)Quantity of generated electricity (1,000 kWh)Quantity of electricity sold or transferred (1,000 kWh) Value added ($1,000)Total inventories, beginning of year ($1,000)Finished goods or minerals products, crude petroleum, and natural gas liquids inventories, beginning of year ($1,000)Materials and/or supplies, parts, fuels, etc. inventories, beginning of year ($1,000)Total inventories, end of year ($1,000)Finished goods or minerals products, crude petroleum, and natural gas liquids inventories, end of year ($1,000)Materials and/or supplies, parts, fuels, etc. inventories, end of year ($1,000)Capital expenditures (except land and mineral rights) ($1,000)Total capital expenditures for buildings, structures, machinery, and equipment (new and used) ($1,000)Capital expenditures for mineral exploration and development ($1,000)Capital expenditures for mineral land and rights ($1,000)Lease rents ($1,000)Expensed mineral exploration, development, land, and rights ($1,000)Current operating expenses for exploration, development, and mineral land and rights ($1,000)Current operating expenses for royalty payments ($1,000)Total rental payments or lease payments ($1,000)Rental payments or lease payments for buildings and other structures ($1,000)Rental payments or lease payments for machinery and equipment ($1,000)Total other operating expenses ($1,000)Temporary staff and leased employee expenses ($1,000)Expensed computer hardware and other equipment ($1,000)Expensed purchases of software ($1,000)Data processing and other purchased computer services ($1,000)Communication services ($1,000)Repair and maintenance services of buildings and/or machinery ($1,000) Refuse removal (including hazardous waste) services ($1,000)Advertising and promotional services ($1,000)Purchased professional and technical services ($1,000) Taxes and license fees ($1,000)All other operating expenses ($1,000)Range indicating imputed percentage of total sales, value of shipments, or revenueRange indicating imputed percentage of total annual payrollRange indicating imputed percentage of total employeesDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization...

  4. Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving...

    • moneymetals.com
    csv, json, xls, xml
    Updated Sep 12, 2024
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    Money Metals Exchange (2024). Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving [Dataset]. https://www.moneymetals.com/bitcoin-price
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    json, xml, csv, xlsAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset provided by
    Money Metals
    Authors
    Money Metals Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 3, 2009 - Sep 12, 2023
    Area covered
    World
    Measurement technique
    Tracking market benchmarks and trends
    Description

    In March 2024 Bitcoin BTC reached a new all-time high with prices exceeding 73000 USD marking a milestone for the cryptocurrency market This surge was due to the approval of Bitcoin exchange-traded funds ETFs in the United States allowing investors to access Bitcoin without directly holding it This development increased Bitcoin’s credibility and brought fresh demand from institutional investors echoing previous price surges in 2021 when Tesla announced its 15 billion investment in Bitcoin and Coinbase was listed on the Nasdaq By the end of 2022 Bitcoin prices dropped sharply to 15000 USD following the collapse of cryptocurrency exchange FTX and its bankruptcy which caused a loss of confidence in the market By August 2024 Bitcoin rebounded to approximately 64178 USD but remained volatile due to inflation and interest rate hikes Unlike fiat currency like the US dollar Bitcoin’s supply is finite with 21 million coins as its maximum supply By September 2024 over 92 percent of Bitcoin had been mined Bitcoin’s value is tied to its scarcity and its mining process is regulated through halving events which cut the reward for mining every four years making it harder and more energy-intensive to mine The next halving event in 2024 will reduce the reward to 3125 BTC from its current 625 BTC The final Bitcoin is expected to be mined around 2140 The energy required to mine Bitcoin has led to criticisms about its environmental impact with estimates in 2021 suggesting that one Bitcoin transaction used as much energy as Argentina Bitcoin’s future price is difficult to predict due to the influence of large holders known as whales who own about 92 percent of all Bitcoin These whales can cause dramatic market swings by making large trades and many retail investors still dominate the market While institutional interest has grown it remains a small fraction compared to retail Bitcoin is vulnerable to external factors like regulatory changes and economic crises leading some to believe it is in a speculative bubble However others argue that Bitcoin is still in its early stages of adoption and will grow further as more institutions and governments recognize its potential as a hedge against inflation and a store of value 2024 has also seen the rise of Bitcoin Layer 2 technologies like the Lightning Network which improve scalability by enabling faster and cheaper transactions These innovations are crucial for Bitcoin’s wider adoption especially for day-to-day use and cross-border remittances At the same time central bank digital currencies CBDCs are gaining traction as several governments including China and the European Union have accelerated the development of their own state-controlled digital currencies while Bitcoin remains decentralized offering financial sovereignty for those who prefer independence from government control The rise of CBDCs is expected to increase interest in Bitcoin as a hedge against these centralized currencies Bitcoin’s journey in 2024 highlights its growing institutional acceptance alongside its inherent market volatility While the approval of Bitcoin ETFs has significantly boosted interest the market remains sensitive to events like exchange collapses and regulatory decisions With the limited supply of Bitcoin and improvements in its transaction efficiency it is expected to remain a key player in the financial world for years to come Whether Bitcoin is currently in a speculative bubble or on a sustainable path to greater adoption will ultimately be revealed over time.

  5. I

    Cline Center Coup d’État Project Dataset

    • databank.illinois.edu
    Updated May 11, 2025
    + more versions
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    Buddy Peyton; Joseph Bajjalieh; Dan Shalmon; Michael Martin; Emilio Soto (2025). Cline Center Coup d’État Project Dataset [Dataset]. http://doi.org/10.13012/B2IDB-9651987_V7
    Explore at:
    Dataset updated
    May 11, 2025
    Authors
    Buddy Peyton; Joseph Bajjalieh; Dan Shalmon; Michael Martin; Emilio Soto
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Coups d'Ètat are important events in the life of a country. They constitute an important subset of irregular transfers of political power that can have significant and enduring consequences for national well-being. There are only a limited number of datasets available to study these events (Powell and Thyne 2011, Marshall and Marshall 2019). Seeking to facilitate research on post-WWII coups by compiling a more comprehensive list and categorization of these events, the Cline Center for Advanced Social Research (previously the Cline Center for Democracy) initiated the Coup d’État Project as part of its Societal Infrastructures and Development (SID) project. More specifically, this dataset identifies the outcomes of coup events (i.e., realized, unrealized, or conspiracy) the type of actor(s) who initiated the coup (i.e., military, rebels, etc.), as well as the fate of the deposed leader. Version 2.1.3 adds 19 additional coup events to the data set, corrects the date of a coup in Tunisia, and reclassifies an attempted coup in Brazil in December 2022 to a conspiracy. Version 2.1.2 added 6 additional coup events that occurred in 2022 and updated the coding of an attempted coup event in Kazakhstan in January 2022. Version 2.1.1 corrected a mistake in version 2.1.0, where the designation of “dissident coup” had been dropped in error for coup_id: 00201062021. Version 2.1.1 fixed this omission by marking the case as both a dissident coup and an auto-coup. Version 2.1.0 added 36 cases to the data set and removed two cases from the v2.0.0 data. This update also added actor coding for 46 coup events and added executive outcomes to 18 events from version 2.0.0. A few other changes were made to correct inconsistencies in the coup ID variable and the date of the event. Version 2.0.0 improved several aspects of the previous version (v1.0.0) and incorporated additional source material to include: • Reconciling missing event data • Removing events with irreconcilable event dates • Removing events with insufficient sourcing (each event needs at least two sources) • Removing events that were inaccurately coded as coup events • Removing variables that fell below the threshold of inter-coder reliability required by the project • Removing the spreadsheet ‘CoupInventory.xls’ because of inadequate attribution and citations in the event summaries • Extending the period covered from 1945-2005 to 1945-2019 • Adding events from Powell and Thyne’s Coup Data (Powell and Thyne, 2011)
    Items in this Dataset 1. Cline Center Coup d'État Codebook v.2.1.3 Codebook.pdf - This 15-page document describes the Cline Center Coup d’État Project dataset. The first section of this codebook provides a summary of the different versions of the data. The second section provides a succinct definition of a coup d’état used by the Coup d'État Project and an overview of the categories used to differentiate the wide array of events that meet the project's definition. It also defines coup outcomes. The third section describes the methodology used to produce the data. Revised February 2024 2. Coup Data v2.1.3.csv - This CSV (Comma Separated Values) file contains all of the coup event data from the Cline Center Coup d’État Project. It contains 29 variables and 1000 observations. Revised February 2024 3. Source Document v2.1.3.pdf - This 325-page document provides the sources used for each of the coup events identified in this dataset. Please use the value in the coup_id variable to identify the sources used to identify that particular event. Revised February 2024 4. README.md - This file contains useful information for the user about the dataset. It is a text file written in markdown language. Revised February 2024
    Citation Guidelines 1. To cite the codebook (or any other documentation associated with the Cline Center Coup d’État Project Dataset) please use the following citation: Peyton, Buddy, Joseph Bajjalieh, Dan Shalmon, Michael Martin, Jonathan Bonaguro, and Scott Althaus. 2024. “Cline Center Coup d’État Project Dataset Codebook”. Cline Center Coup d’État Project Dataset. Cline Center for Advanced Social Research. V.2.1.3. February 27. University of Illinois Urbana-Champaign. doi: 10.13012/B2IDB-9651987_V7 2. To cite data from the Cline Center Coup d’État Project Dataset please use the following citation (filling in the correct date of access): Peyton, Buddy, Joseph Bajjalieh, Dan Shalmon, Michael Martin, Jonathan Bonaguro, and Emilio Soto. 2024. Cline Center Coup d’État Project Dataset. Cline Center for Advanced Social Research. V.2.1.3. February 27. University of Illinois Urbana-Champaign. doi: 10.13012/B2IDB-9651987_V7

  6. T

    China Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 2, 2025
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    TRADING ECONOMICS (2025). China Inflation Rate [Dataset]. https://tradingeconomics.com/china/inflation-cpi
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1986 - Jun 30, 2025
    Area covered
    China
    Description

    Inflation Rate in China increased to 0.10 percent in June from -0.10 percent in May of 2025. This dataset provides - China Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. Top 1000 Popular Movies (till march-2022)

    • kaggle.com
    Updated Mar 6, 2022
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    Johnny Dalal (2022). Top 1000 Popular Movies (till march-2022) [Dataset]. https://www.kaggle.com/johnnydalal/top-1000-popular-movies-till-sep2022/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 6, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Johnny Dalal
    Description

    Top 1000 movies that are popular worldwide.

    There's a story behind every dataset and here's your opportunity to share yours.

    About Features

    1. ID: Unique id which is provided to every movies by themoviedb.
    2. Title: Name of the movie.
    3. Language: Original Language used in the movie.
    4. Release Date: of the movie.
    5. Popularity: Popularity is a very important metric here on TMDB. It helps us boost search results, adds an incredibly useful sort value for movies , and is also just kind of fun to see items chart up and down. (more on here: https://developers.themoviedb.org/3/getting-started/popularity)
    6. Vote Average: Rating from 0 to 10.
    7. Vote Count: Total number of people who voted
    8. Overview: Short Description about movies.

    Data Source

    The data is fetched using the themoviedb API.

    Inspiration

    This is my first data set uploaded here, please advice me if have done something wrong or how can I improve myself. Thanks

  8. 2022 Economic Census: EC2231ECOMM | Manufacturing: E-Commerce Statistics for...

    • data.census.gov
    Updated Jan 23, 2025
    + more versions
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    ECN (2025). 2022 Economic Census: EC2231ECOMM | Manufacturing: E-Commerce Statistics for the U.S.: 2022 (ECN Core Statistics Manufacturing: E-Commerce Statistics for the U.S.: 2022) [Dataset]. https://data.census.gov/all/tables?q=E%20Leibler
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Area covered
    United States
    Description

    Key Table Information.Table Title.Manufacturing: E-Commerce Statistics for the U.S.: 2022.Table ID.ECNECOMM2022.EC2231ECOMM.Survey/Program.Economic Census.Year.2022.Dataset.ECN Core Statistics Manufacturing: E-Commerce Statistics for the U.S.: 2022.Release Date.2025-01-23.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.The data in this file come from the 2022 Economic Census data files released on a flow basis starting in January 2024 with First Look Statistics. Preliminary U.S. totals released in January 2024 are superseded with final data shown in the releases of later economic census statistics through March 2026.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe.The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS)..Methodology.Data Items and Other Identifying Records.Sales, value of shipments, or revenue ($1,000)E-Shipments value ($1,000) E-Shipments as percent of total sales, value of shipments, or revenue (%) Range indicating imputed percentage of total sales, value of shipments, or revenueDefinitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the economic census are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization. For some industries, the reporting units are instead groups of all establishments in the same industry belonging to the same firm..Geography Coverage.The data are shown for the U.S. level only. For information about economic census geographies, including changes for 2022, see Geographies..Industry Coverage.The data are shown at the 2- through 3-digit 2022 NAICS code levels for the U.S. For information about NAICS, see Economic Census Code Lists..Sampling.The 2022 Economic Census sample includes all active operating establishments of multi-establishment firms and approximately 1.7 million single-establishment firms, stratified by industry and state. Establishments selected to the sample receive a questionnaire. For all data on this table, establishments not selected into the sample are represented with administrative data. For more information about the sample design, see 2022 Economic Census Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY23-099).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business’ data or identity.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing firms or three contributing establishments are not presented. Additionally, establishment counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the 2022 Economic Census Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, NAPCS codes, and more, see Economic Census Technical Documentation..Weights.No weighting applied as establishments not sampled are represented with administrative data..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector31/.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who create their own es...

  9. T

    United Kingdom Inflation Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 18, 2025
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    TRADING ECONOMICS (2025). United Kingdom Inflation Rate [Dataset]. https://tradingeconomics.com/united-kingdom/inflation-cpi
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1989 - May 31, 2025
    Area covered
    United Kingdom
    Description

    Inflation Rate in the United Kingdom decreased to 3.40 percent in May from 3.50 percent in April of 2025. This dataset provides - United Kingdom Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. A

    ‘Bulk Bookstore Dataset’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 4, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Bulk Bookstore Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-bulk-bookstore-dataset-dddd/065fef67/?iid=004-390&v=presentation
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    Dataset updated
    Aug 4, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Bulk Bookstore Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/bulk-bookstore-dataset on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    • The dataset contains products from Bulk Bookstore (An online book store). This dataset was created by CrawlFeeds and contains around 1000 books along with Price and other features such as:
    • The Publisher
    • Author
    • Number of Pages
    • and more.

    How to use this dataset

    • Try to Isolate the "Quality" of the book from its publisher and author: Isolate the component in the price that is associated with the intrinsic value of the books.
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit CrawlFeeds

    --- Original source retains full ownership of the source dataset ---

  11. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 30, 1983 - Jul 11, 2025
    Area covered
    World
    Description

    Crude Oil rose to 68.75 USD/Bbl on July 11, 2025, up 3.27% from the previous day. Over the past month, Crude Oil's price has risen 1.04%, but it is still 16.37% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

  12. T

    Kazakhstan Inflation Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 1, 2025
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    TRADING ECONOMICS (2025). Kazakhstan Inflation Rate [Dataset]. https://tradingeconomics.com/kazakhstan/inflation-cpi
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1992 - Jun 30, 2025
    Area covered
    Kazakhstan
    Description

    Inflation Rate in Kazakhstan increased to 11.80 percent in June from 11.30 percent in May of 2025. This dataset provides the latest reported value for - Kazakhstan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  13. T

    Coal - Price Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). Coal - Price Data [Dataset]. https://tradingeconomics.com/commodity/coal
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 5, 2008 - Jul 11, 2025
    Area covered
    World
    Description

    Coal rose to 112 USD/T on July 11, 2025, up 0.90% from the previous day. Over the past month, Coal's price has risen 7.07%, but it is still 16.32% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on July of 2025.

  14. 2022 Economic Census of Island Areas: IA2200IND16 | Island Areas: Value of...

    • data.census.gov
    Updated Dec 19, 2024
    + more versions
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    ECN (2024). 2022 Economic Census of Island Areas: IA2200IND16 | Island Areas: Value of Products Shipped and Contract Receipts by Manufacturing Industry and Class of Customer for Puerto Rico: 2022 (ECNIA Economic Census of Island Areas) [Dataset]. https://data.census.gov/all/tables?q=ICS%20ELECTRICAL%20SVC
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    Dataset updated
    Dec 19, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ECN
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Description

    Key Table Information.Table Title.Island Areas: Value of Products Shipped and Contract Receipts by Manufacturing Industry and Class of Customer for Puerto Rico: 2022.Table ID.ISLANDAREASIND2022.IA2200IND16.Survey/Program.Economic Census of Island Areas.Year.2022.Dataset.ECNIA Economic Census of Island Areas.Source.U.S. Census Bureau, 2022 Economic Census of Island Areas, Core Statistics.Release Date.2024-12-19.Release Schedule.The Economic Census occurs every five years, in years ending in 2 and 7.2022 Economic Census of Island Areas tables are released on a flow basis from June through December 2024.For more information about economic census planned data product releases, see 2022 Economic Census Release Schedule..Dataset Universe. The dataset universe consists of all establishments that are in operation for at least some part of 2022, are located in Puerto Rico, have paid employees, and are classified in one of eighteen in-scope sectors defined by the 2022 NAICS..Sponsor.U.S. Department of Commerce.Methodology.Data Items and Other Identifying Records.Number of establishmentsValue of products shipped and contract receipts ($1,000)Each record includes a CLASSCUST code, which represents a specific class of customer category.Each record includes a COUNDEST code, which represents a specific country of destination of products shipped and source of contract receipts category.The data are shown for class of customer and country of destination of products shipped and source of contract receipts.Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the Economic Census of Island Areas are employer establishments. An establishment is generally a single physical location where business is conducted or where services or industrial operations are performed..Geography Coverage.The data are shown for employer establishments and firms that vary by industry:At the Territory level for Puerto RicoFor information about economic census geographies, including changes for 2022, see Economic Census: Economic Geographies..Industry Coverage.The data are shown for Puerto Rico at the 2- through 4-digit 2022 NAICS code levels for the manufacturing industry.For information about NAICS, see Economic Census Code Lists..Sampling.The Economic Census of Island Areas is a complete enumeration of establishments located in the islands (i.e., all establishments on the sampling frame are included in the sample). Therefore, the accuracy of tabulations is not affected by sampling error..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. 7504609, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0044).The primary method of disclosure avoidance protection is noise infusion. Under this method, the quantitative data values such as sales or payroll for each establishment are perturbed prior to tabulation by applying a random noise multiplier (i.e., factor). Each establishment is assigned a single noise factor, which is applied to all its quantitative data value. Using this method, most published cell totals are perturbed by at most a few percentage points.To comply with disclosure avoidance guidelines, data rows with fewer than three contributing establishments are not presented. For more information on disclosure avoidance, see Methodology for the 2022 Economic Census- Island Areas..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, see Methodology for the 2022 Economic Census- Island Areas.For more information about survey questionnaires, Primary Business Activity/NAICS codes, and NAPCS codes, see Economic Census Technical Documentation..Weights.Because the Economic Census of Island Areas is a complete enumeration, there is no sample weighting..Table Information.FTP Download.https://www2.census.gov/programs-surveys/economic-census/data/2022/sector00.API Information.Economic census data are housed in the Census Bureau Application Programming Interface (API)..Symbols.D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableS - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see link to program methodology page.X - Not applicableA - Relative standard error of 100% or morer - Reviseds - Relative standard error exceeds 40%For a complete list of symbols, see Economic Census Data Dictionary..Data-Specific Notes.Data users who ...

  15. T

    Egyptian Pound Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 10, 2025
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    TRADING ECONOMICS (2025). Egyptian Pound Data [Dataset]. https://tradingeconomics.com/egypt/currency
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 18, 1992 - Jul 11, 2025
    Area covered
    Egypt
    Description

    The USD/EGP exchange rate fell to 49.4900 on July 11, 2025, down 0.04% from the previous session. Over the past month, the Egyptian Pound has strengthened 0.56%, but it's down by 3.21% over the last 12 months. Egyptian Pound - values, historical data, forecasts and news - updated on July of 2025.

  16. T

    Turkish Lira Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 25, 2012
    + more versions
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    TRADING ECONOMICS (2012). Turkish Lira Data [Dataset]. https://tradingeconomics.com/turkey/currency
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    May 25, 2012
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 28, 1992 - Jul 11, 2025
    Area covered
    Türkiye
    Description

    The USD/TRY exchange rate rose to 40.1688 on July 11, 2025, up 0.02% from the previous session. Over the past month, the Turkish Lira has weakened 2.15%, and is down by 21.55% over the last 12 months. Turkish Lira - values, historical data, forecasts and news - updated on July of 2025.

  17. T

    Vietnam GDP

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Vietnam GDP [Dataset]. https://tradingeconomics.com/vietnam/gdp
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1985 - Dec 31, 2024
    Area covered
    Vietnam
    Description

    The Gross Domestic Product (GDP) in Vietnam was worth 476.39 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Vietnam represents 0.45 percent of the world economy. This dataset provides the latest reported value for - Vietnam GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  18. T

    South Korean Won Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). South Korean Won Data [Dataset]. https://tradingeconomics.com/south-korea/currency
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 20, 1983 - Jul 11, 2025
    Area covered
    South Korea
    Description

    The USD/KRW exchange rate rose to 1,378.0400 on July 11, 2025, up 0.46% from the previous session. Over the past month, the South Korean Won has weakened 1.69%, and is down by 0.21% over the last 12 months. South Korean Won - values, historical data, forecasts and news - updated on July of 2025.

  19. T

    Japan GDP

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan GDP [Dataset]. https://tradingeconomics.com/japan/gdp
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Japan
    Description

    The Gross Domestic Product (GDP) in Japan was worth 4026.21 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Japan represents 3.79 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. T

    Pakistan Rupee Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 10, 2025
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    TRADING ECONOMICS (2025). Pakistan Rupee Data [Dataset]. https://tradingeconomics.com/pakistan/currency
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 17, 2001 - Jul 11, 2025
    Area covered
    Pakistan
    Description

    The USD/PKR exchange rate fell to 284.3750 on July 11, 2025, down 0.04% from the previous session. Over the past month, the Pakistan Rupee has weakened 0.72%, and is down by 2.31% over the last 12 months. Pakistan Rupee - values, historical data, forecasts and news - updated on July of 2025.

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TRADING ECONOMICS (2025). Turkey Inflation Rate [Dataset]. https://tradingeconomics.com/turkey/inflation-cpi

Turkey Inflation Rate

Turkey Inflation Rate - Historical Dataset (1965-01-31/2025-06-30)

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28 scholarly articles cite this dataset (View in Google Scholar)
json, excel, xml, csvAvailable download formats
Dataset updated
Jun 3, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 31, 1965 - Jun 30, 2025
Area covered
Turkey
Description

Inflation Rate in Turkey decreased to 35.05 percent in June from 35.41 percent in May of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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