23 datasets found
  1. NIGERIA INFLATION RATES

    • kaggle.com
    Updated Aug 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IamHardy (2024). NIGERIA INFLATION RATES [Dataset]. https://www.kaggle.com/datasets/iamhardy/nigeria-inflation-rates
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 12, 2024
    Dataset provided by
    Kaggle
    Authors
    IamHardy
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Nigeria
    Description

    Description: This dataset provides a comprehensive overview of monthly inflation rates in Nigeria from March 2003 to June 2024, alongside key economic indicators such as crude oil prices, production levels, and various Consumer Price Index (CPI) components. The data captures important economic trends and is suitable for time series analysis, forecasting, and economic modeling.

    The dataset includes the following features:

    Inflation Rate: The monthly inflation rate in Nigeria, reflecting the change in consumer prices.

    Crude Oil Price: The monthly average price of crude oil, which plays a significant role in Nigeria's economy.

    Production and Export: Monthly crude oil production and export figures, representing key components of Nigeria's GDP.

    CPI Components: Detailed breakdown of the Consumer Price Index, including food, energy, health, transport, communication, and education.

    This dataset is ideal for economists, data scientists, and analysts interested in exploring the dynamics of inflation in a developing economy heavily influenced by oil prices and production. Potential applications include inflation forecasting, economic policy analysis, and studying the impact of global oil prices on domestic inflation.

  2. Indonesia Business Survey: Inflation Expectation: Total

    • ceicdata.com
    Updated May 15, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). Indonesia Business Survey: Inflation Expectation: Total [Dataset]. https://www.ceicdata.com/en/indonesia/business-survey-inflation-expectation/business-survey-inflation-expectation-total
    Explore at:
    Dataset updated
    May 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    Indonesia
    Variables measured
    Economic Expectation Survey
    Description

    Indonesia Business Survey: Inflation Expectation: Total data was reported at 3.534 % in Dec 2022. This records an increase from the previous number of 3.423 % for Sep 2022. Indonesia Business Survey: Inflation Expectation: Total data is updated quarterly, averaging 3.537 % from Jun 2013 (Median) to Dec 2022, with 39 observations. The data reached an all-time high of 6.864 % in Dec 2013 and a record low of 2.822 % in Dec 2021. Indonesia Business Survey: Inflation Expectation: Total data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Business and Economic Survey – Table ID.SD008: Business Survey: Inflation Expectation. [COVID-19-IMPACT]

  3. A

    ‘USA Key Economic Indicators’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Dec 28, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘USA Key Economic Indicators’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-usa-key-economic-indicators-cfd5/676afbab/?iid=003-905&v=presentation
    Explore at:
    Dataset updated
    Dec 28, 2021
    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

    Area covered
    United States
    Description

    Analysis of ‘USA Key Economic Indicators’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/calven22/usa-key-macroeconomic-indicators on 28 January 2022.

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

    Context

    Domino’s Pizza, like many other restaurant chains, is getting pinched by higher food costs. The company’s chief executive, Richard Allison, anticipates “unprecedented increases” in the company’s food costs, which could jump by 8-10%. He said that is three to four times what the pizza chain would normally expect in a year.

    This leads to the paramount issue of inflation which affects every aspects of the economy, from consumer spending, business investment and employment rates to government programs, tax policies, and interest rates. The recent release of consumer inflation data showed prices rose at the fastest pace since 1982. Inflation forecasting is key in the conduct of monetary policy and can be used in many other ways such as preserving asset values. This dataset is a consolidated macroeconomic official statistics from 1981 to 2021, containing data available in month and quarterly format.

    Content

    The Core Consumer Price Index (ccpi) measures the changes in the price of goods and services, excluding food and energy due to their volatility. It measures price change from the perspective of the consumer. It is a often used to measure changes in purchasing trends and inflation.

    Do note there are some null values in the dataset.

    Acknowledgements

    All data belongs to the U.S. Bureau of Economic Analysis official release, and are retrieved from FRED, Federal Reserve Bank of St. Louis.

    Inspiration

    What are some noticeable patterns or seasonality of the economy? What are the current trends of the economy? Which indicators has an effect on Core CPI or vice-versa based on predictive power or influence?

    Quarterly data and monthly data can be merged with forward-fill or interpolation methods.

    What is the forecast of Core CPI in 2022?

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

  4. US Recession Dataset

    • kaggle.com
    Updated May 14, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shubhaansh Kumar (2023). US Recession Dataset [Dataset]. https://www.kaggle.com/datasets/shubhaanshkumar/us-recession-dataset/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shubhaansh Kumar
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Description

    This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

    There are 20 columns and 343 rows spanning 1990-04 to 2022-10

    The columns are:

    1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

    2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

    3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

    4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

    5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

    6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

    7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

    8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

    9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

  5. Data from: Analyzing the Impact

    • kaggle.com
    Updated Feb 17, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    willian oliveira gibin (2024). Analyzing the Impact [Dataset]. http://doi.org/10.34740/kaggle/dsv/7645156
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 17, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    willian oliveira gibin
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F3e500403e320e5a7e056cafe3515cb3d%2FSem%20ttulo.jpg?generation=1708202681385546&alt=media" alt="">

    When examining the intricate relationship between economic conditions and purchasing decisions, the utilization of practice datasets can offer invaluable insights. This particular artificial dataset comprises three main components: a dimension table of ten companies, a fact table documenting purchases from these companies, and a set of data points regarding economic conditions. These elements are meticulously designed to mimic real-world scenarios, enabling analysts to dissect and understand how fluctuations in the economy can influence the purchasing behavior of different types of companies.

    The dimension table serves as the foundation, listing ten distinct companies, each potentially operating in varied sectors. This diversity allows for a comprehensive analysis across a spectrum of industries, highlighting sector-specific sensitivities to economic changes. The fact table of purchases acts as a historical record, offering detailed insights into the buying patterns of these companies over time. Analysts can observe trends, frequencies, and the magnitude of purchases, correlating them with the economic conditions presented in the third component of the dataset.

    The economic conditions data is pivotal, as it encompasses a variety of indicators that can affect purchasing decisions. These may include inflation rates, interest rates, GDP growth, unemployment rates, and consumer confidence indices, among others. By examining the interplay between these economic indicators and the purchasing data, analysts can identify patterns and causations. For instance, an increase in interest rates might lead to a decrease in capital-intensive purchases by companies wary of higher borrowing costs.

    Through this dataset, researchers can employ statistical models and data analysis techniques to uncover how economic fluctuations impact corporate purchasing decisions. The findings can offer valuable lessons for businesses in terms of budgeting, financial planning, and risk management. Companies can use these insights to make informed decisions, adjusting their purchasing strategies in anticipation of or in response to economic conditions. This proactive approach can help businesses maintain stability during economic downturns and capitalize on opportunities during favorable economic times.

    Ultimately, this practice dataset not only aids in academic and educational pursuits but also serves as a practical tool for business analysts, economists, and corporate strategists seeking to better navigate the complex dynamics of the economy and its effects on corporate purchasing behaviors.

  6. New Events Data in Central African Republic

    • kaggle.com
    Updated Sep 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Central African Republic [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-central-african-republic
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Central African Republic
    Description

    Techsalerator's News Events Data for Central African Republic: A Comprehensive Overview

    Techsalerator's News Events Data for Central African Republic provides a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across the Central African Republic, drawing from diverse media sources, including news outlets, online publications, and social platforms. It offers valuable insights for those aiming to track trends, analyze public sentiment, or monitor industry-specific developments.

    Key Data Fields Event Date: Captures the exact date of the news event, crucial for tracking trends over time or for businesses responding to market shifts.

    Event Title: A brief headline describing the event, allowing users to quickly categorize and assess news content based on relevance to their interests.

    Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and assess the reach and influence of the event.

    Location: Provides geographic information on where the event took place within Central African Republic, valuable for regional analysis or localized marketing efforts.

    Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact, helping researchers and businesses understand the context and implications of the event.

    Top 5 News Categories in Central African Republic Politics: Major news coverage on government decisions, political movements, elections, and policy changes that affect the national landscape.

    Economy: Focuses on Central African Republic’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors.

    Social Issues: News events covering protests, public health, education, and other societal concerns that drive public discourse.

    Sports: Highlights events in popular sports, often drawing widespread attention and engagement across the country.

    Technology and Innovation: Reports on tech developments, startups, and innovations within the Central African Republic’s emerging tech ecosystem.

    Top 5 News Sources in Central African Republic Radio Ndeke Luka: A leading source of news and information, providing extensive coverage of political, economic, and social issues.

    Centrafrique Presse: A prominent outlet offering news on national affairs, including politics, economy, and societal concerns.

    RFI (Radio France Internationale): An international broadcaster providing updates on major events and developments in Central African Republic.

    Le Démocrate: A local publication focusing on national and regional news, including political, economic, and social topics.

    TV Centrafrique: A national television network offering coverage of current affairs, including politics, sports, and major events.

    Accessing Techsalerator’s News Events Data for Central African Republic To access Techsalerator’s News Events Data for Central African Republic, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields Event Date Event Title Source Location Event Description Event Category (Politics, Economy, Sports, etc.) Participants (if applicable) Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is a valuable tool for keeping track of significant events in Central African Republic. It supports informed decision-making for business strategy, market analysis, or academic research, providing a comprehensive view of the country’s news landscape.

  7. New Events Data in Bangladesh

    • kaggle.com
    Updated Sep 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Bangladesh [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-bangladesh
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Techsalerator's News Events Data for Bangladesh: A Comprehensive Overview

    Techsalerator's News Events Data for Bangladesh offers a valuable resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across Bangladesh, drawing from a diverse array of media sources, including news outlets, online publications, and social platforms. It provides crucial insights for those aiming to track trends, analyze public sentiment, or monitor industry-specific developments.

    Key Data Fields - Event Date: Captures the exact date of the news event, essential for tracking trends over time or for businesses responding to market shifts. - Event Title: A brief headline summarizing the event, enabling users to quickly categorize and assess news content based on its relevance. - Source: Identifies the news outlet or platform reporting the event, helping users track credible sources and assess the event's reach and influence. - Location: Provides geographic information on where the event occurred within Bangladesh, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impacts. This helps researchers and businesses understand the event’s context and implications.

    Top 5 News Categories in Bangladesh - Politics: Major coverage of government decisions, political movements, elections, and policy changes that shape the national landscape. - Economy: Focuses on Bangladesh’s economic indicators, inflation rates, international trade, and corporate activities affecting business and finance sectors. - Social Issues: News covering protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in cricket, football, and other popular sports, drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations within Bangladesh’s growing tech sector, featuring emerging companies and industry trends.

    Top 5 News Sources in Bangladesh - The Daily Star: One of Bangladesh's leading English newspapers, offering comprehensive coverage of politics, economy, and social issues. - Prothom Alo: A major Bengali-language newspaper known for its detailed reporting on national and local news. - Dhaka Tribune: An English-language newspaper providing updates on current affairs, business, and cultural events. - The Independent: Offers news coverage on politics, social issues, and other significant events in Bangladesh. - Bangladesh Pratidin: A popular Bengali-language newspaper focusing on breaking news, sports, and entertainment.

    Accessing Techsalerator’s News Events Data for Bangladesh To access Techsalerator’s News Events Data for Bangladesh, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Bangladesh, aiding in making informed decisions for business strategy, market analysis, or academic research, and providing a clear picture of the country’s news landscape.

  8. d

    Replication Data for: The words have power: the impact of news on exchange...

    • dataone.org
    Updated Dec 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shugliashvili, Teona (2023). Replication Data for: The words have power: the impact of news on exchange rates [Dataset]. http://doi.org/10.7910/DVN/AXVTYQ
    Explore at:
    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Shugliashvili, Teona
    Description

    Hereby I am sharing the data used in the paper: "The words have power: the impact of news on exchange rates". The dataset includes: Taylor Rule Fundamentals: - inflation, - industrial production index (as a high-frequency proxy of GDP), - money market rate from 2000 until 2018. Textual information: - Entropies of news items about the U.S. Dollar from Nexis-Uni database. This is how we get the textual data from Nexis-Uni database: We enter “U.S. Dollar” as a keyword in searching for the news, which gives over 15 Million non-duplicate news. Next, we clean data news and select the relevant news items as follows. We select news about U.S. Dollar with the following criteria: (i) the U.S. Dollar appears in the title of news items, (ii) U.S. Dollar is repeated several times in the news, (iii) the first paragraph of news contains the word “U.S. Dollar”, (iv) U.S. Dollar is the subject of news items which are automatically selected by Nexis-Uni database. - economic policy uncertainty index from https://www.policyuncertainty.com/index.html

  9. New Events Data in Greece

    • kaggle.com
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Greece [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-greece
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Greece
    Description

    Techsalerator's News Events Data for Greece: A Comprehensive Overview

    Techsalerator's News Events Data for Greece is an essential resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across Greece, drawing from diverse media sources such as news outlets, online publications, and social platforms. It offers valuable insights for those looking to track trends, analyze public sentiment, or monitor industry-specific developments.

    Key Data Fields - Event Date: Captures the exact date of the news event, crucial for analysts monitoring trends over time or businesses responding to market shifts. - Event Title: A brief headline describing the event, allowing users to quickly categorize and assess news content based on relevance. - Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and assess the reach and influence of the event. - Location: Provides geographic information on where the event took place within Greece, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Researchers and businesses use this to understand the context and implications of the event.

    Top 5 News Categories in Greece - Politics: Major news coverage on government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Greece’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: News events covering protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in football, basketball, and other popular sports, often drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Greece’s growing tech ecosystem, featuring companies like Vodafone Greece and up-and-coming startups.

    Top 5 News Sources in Greece - Kathimerini: A major newspaper providing in-depth coverage of politics, economy, and social issues. - Ta Nea: A prominent source for news related to politics, business, and cultural events across Greece. - Mega Channel: A leading TV network offering real-time updates on current affairs, sports, and entertainment. - Protagon: A well-regarded online news platform known for its investigative journalism and analysis of political and social issues. - Ethnos: A key newspaper providing extensive coverage of national politics, economy, and public affairs.

    Accessing Techsalerator’s News Events Data for Greece To access Techsalerator’s News Events Data for Greece, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is an invaluable tool for tracking significant events in Greece. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, offering a clear picture of the country’s news landscape.

  10. d

    Replication Data for: 'Beyond Tradition: A Hybrid Model Unveiling News...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Author (2024). Replication Data for: 'Beyond Tradition: A Hybrid Model Unveiling News Impact on Exchange Rates'. [Dataset]. http://doi.org/10.7910/DVN/0IIZJO
    Explore at:
    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    The Author
    Description

    I am hereby sharing the dataset used in the paper titled 'Beyond Tradition: A Hybrid Model Unveiling News Impact on Exchange Rates'. The dataset comprises the following components: Taylor Rule Fundamentals: - Inflation - Industrial production index (as a high-frequency proxy of GDP) - Money market rate spanning from 2000 to 2018. Textual Information: - Economic Policy Uncertainty Index from https://www.policyuncertainty.com/index.html (as of November 9, 2023). - Time series of entropies calculated for U.S. Dollar-related news topics extracted from the Nexis-Uni database. Note: To acquire the textual data from the Nexis-Uni database, we conducted the following steps: We entered "U.S. Dollar" as a keyword in the search for news, resulting in over 15 million non-duplicate news items. Subsequently, we cleaned the news data and selected relevant news items using the following criteria: (i) The U.S. Dollar appears in the title of news items, (ii) The term "U.S. Dollar" is repeated several times in the news, (iii) The first paragraph of the news contains the word "U.S. Dollar", (iv) The news items are automatically selected by the Nexis-Uni database with the U.S. Dollar as the subject. Subsequently, we identified the topics related to the US Dollar from the news using LDA and calculated the Shannon entropies over time for each topic.

  11. New Events Data in Slovenia

    • kaggle.com
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Slovenia [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-slovenia/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Slovenia
    Description

    Techsalerator's News Events Data for Slovenia: A Comprehensive Overview

    Techsalerator's News Events Data for Slovenia provides a valuable resource for businesses, researchers, and media organizations. This dataset aggregates significant news events from a wide range of Slovenian media sources, including news outlets, online publications, and social platforms. It offers crucial insights for tracking trends, analyzing public sentiment, and monitoring industry-specific developments.

    Key Data Fields - Event Date: Records the exact date of the news event, essential for tracking trends over time or for businesses adapting to market changes. - Event Title: A concise headline describing the event, allowing users to quickly categorize and assess news relevance. - Source: Indicates the news outlet or platform where the event was reported, helping users evaluate source credibility and event reach. - Location: Provides geographic details about where the event occurred within Slovenia, useful for regional analysis or targeted marketing. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impacts, aiding in understanding the context and significance.

    Top 5 News Categories in Slovenia - Politics: Covers major government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on Slovenia’s economic indicators, inflation rates, international trade, and business activities influencing the financial sector. - Social Issues: Includes news on protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in popular sports such as football, basketball, and skiing, drawing widespread attention and engagement. - Technology and Innovation: Reports on technological advancements, startups, and innovations within Slovenia’s tech ecosystem, featuring emerging companies and new developments.

    Top 5 News Sources in Slovenia - RTV Slovenia: A leading public broadcasting service offering extensive coverage of politics, economy, and social issues. - Delo: A major newspaper known for its detailed reporting on national news, politics, and business. - 24ur: A popular news portal providing timely updates on a broad range of topics, including politics, economy, and sports. - Finance: A key source for business news, economic analysis, and financial developments in Slovenia. - Slovenia Times: An English-language news outlet focusing on significant events, business news, and cultural stories in Slovenia.

    Accessing Techsalerator’s News Events Data for Slovenia To access Techsalerator’s News Events Data for Slovenia, please contact info@techsalerator.com with your specific requirements. We will provide a customized quote based on the data fields and records you need, with delivery available within 24 hours. Ongoing access options can also be arranged.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is an invaluable tool for tracking significant events in Slovenia, supporting informed decision-making, market analysis, and academic research, and offering a clear view of the country’s news landscape.

  12. Envestnet | Yodlee's De-Identified Electronic Payment Data | Row/Aggregate...

    • datarade.ai
    .sql, .txt
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Electronic Payment Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-de-identified-electronic-payment-data-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Yodlee
    Envestnethttp://envestnet.com/
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Electronic Payment Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

    We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

    Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

    Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

  13. Indonesia Business Survey: Inflation Expectation: Mining and Quarrying

    • ceicdata.com
    Updated May 4, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2020). Indonesia Business Survey: Inflation Expectation: Mining and Quarrying [Dataset]. https://www.ceicdata.com/en/indonesia/business-survey-inflation-expectation
    Explore at:
    Dataset updated
    May 4, 2020
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2020 - Dec 1, 2022
    Area covered
    Indonesia
    Variables measured
    Economic Expectation Survey
    Description

    Business Survey: Inflation Expectation: Mining and Quarrying data was reported at 3.619 % in Dec 2022. This records an increase from the previous number of 3.424 % for Sep 2022. Business Survey: Inflation Expectation: Mining and Quarrying data is updated quarterly, averaging 3.533 % from Jun 2013 (Median) to Dec 2022, with 39 observations. The data reached an all-time high of 6.770 % in Jun 2013 and a record low of 2.603 % in Jun 2022. Business Survey: Inflation Expectation: Mining and Quarrying data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Business and Economic Survey – Table ID.SD008: Business Survey: Inflation Expectation. [COVID-19-IMPACT]

  14. d

    Replication Data for: Synchronization without similarity. The effects of...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 13, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Beck, Krzysztof (2023). Replication Data for: Synchronization without similarity. The effects of COVID-19 pandemic on GDP growth and inflation in the Eurozone [Dataset]. http://doi.org/10.7910/DVN/IPYR1M
    Explore at:
    Dataset updated
    Nov 13, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Beck, Krzysztof
    Description

    Replication Data for: Synchronization without similarity. The effects of COVID-19 pandemic on GDP growth and inflation in the Eurozone

  15. New Events Data in Spain

    • kaggle.com
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Spain [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-spain
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Spain
    Description

    Techsalerator's News Events Data for Spain: A Comprehensive Overview

    Techsalerator's News Events Data for Spain is an essential resource for businesses, researchers, and media organizations. This dataset consolidates information on major news events across Spain, drawing from a diverse array of media sources, including news outlets, online publications, and social platforms. It offers valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring industry-specific developments.

    Key Data Fields - Event Date: Records the precise date of the news event. This is crucial for analysts tracking trends over time or businesses responding to market changes. - Event Title: A concise headline describing the event. This allows users to quickly categorize and assess news content based on its relevance. - Source: Indicates the news outlet or platform where the event was reported. This helps users track reliable sources and evaluate the reach and influence of the event. - Location: Provides geographic details, showing where the event occurred within Spain. This is especially useful for regional analysis or localized marketing. - Event Description: A detailed summary of the event, including key developments, participants, and potential impacts. Researchers and businesses use this to understand the context and implications of the event.

    Top 5 News Categories in Spain - Politics: Major news coverage on government decisions, political movements, elections, and policy changes that impact the national landscape. - Economy: Focuses on Spain’s economic indicators, inflation rates, international trade, and corporate activities influencing the business and finance sectors. - Social Issues: News events covering protests, public health, education, and other societal concerns that drive public discourse. - Sports: Highlights events in football, basketball, and other popular sports, often drawing significant attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations within Spain’s growing tech ecosystem, showcasing emerging companies and advancements.

    Top 5 News Sources in Spain - El País: A leading newspaper providing comprehensive coverage of national politics, economy, and social issues. - ABC: A major newspaper known for its timely updates on breaking news, politics, and current affairs. - La Vanguardia: A widely-read newspaper offering insights into local politics, economic developments, and societal trends. - El Mundo: A significant news source covering a broad spectrum of topics, including politics, economy, and social issues. - Europa Press: The national news agency delivering updates on significant events, public health, and sports across Spain.

    Accessing Techsalerator’s News Events Data for Spain To access Techsalerator’s News Events Data for Spain, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Spain. It aids in making informed decisions, whether for business strategy, market analysis, or academic research, providing a clear picture of the country’s news landscape.

  16. New Events Data in North Macedonia

    • kaggle.com
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in North Macedonia [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-north-macedonia
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    North Macedonia
    Description

    Techsalerator's News Events Data for North Macedonia: A Comprehensive Overview

    Techsalerator's News Events Data for North Macedonia offers a robust resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across North Macedonia, drawing from a diverse range of media sources, including news outlets, online publications, and social platforms. It provides valuable insights for those interested in tracking trends, analyzing public sentiment, or monitoring industry-specific developments.

    Key Data Fields - Event Date: Records the exact date of the news event, essential for analyzing trends over time or responding to market changes. - Event Title: A concise headline summarizing the event, allowing users to quickly categorize and evaluate news content based on relevance. - Source: Indicates the news outlet or platform where the event was reported, helping users track credible sources and measure the event’s reach and impact. - Location: Provides geographic information on where the event occurred within North Macedonia, useful for regional analysis or targeted marketing. - Event Description: A detailed summary of the event, including key developments, participants, and potential impacts, aiding in understanding the context and consequences.

    Top 5 News Categories in North Macedonia - Politics: Coverage of government decisions, political movements, elections, and policy changes affecting the national landscape. - Economy: Focuses on economic indicators, inflation rates, international trade, and corporate activities influencing the business and finance sectors. - Social Issues: News related to protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in popular sports, often drawing significant attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and advancements in North Macedonia’s growing tech ecosystem.

    Top 5 News Sources in North Macedonia - Macedonia.net: A leading news outlet providing comprehensive coverage of national politics, economy, and social issues. - Meta.mk: A prominent online news platform known for timely updates on breaking news, politics, and current affairs. - Dnevnik: A widely-read newspaper offering insights into local politics, economic developments, and societal trends. - Sitel: A significant news source covering a broad range of topics, including politics, economy, and social issues. - 24 Vesti: The national news agency delivering updates on major events, public health, and sports across North Macedonia.

    Accessing Techsalerator’s News Events Data for North Macedonia To access Techsalerator’s News Events Data for North Macedonia, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is a valuable tool for tracking significant events in North Macedonia. It supports informed decision-making for business strategy, market analysis, and academic research, offering a clear view of the country's news landscape.

  17. T

    New Zealand Business 2-Year Inflation Expectations

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). New Zealand Business 2-Year Inflation Expectations [Dataset]. https://tradingeconomics.com/new-zealand/inflation-expectations
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    May 16, 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
    Sep 30, 1987 - Jun 30, 2025
    Area covered
    New Zealand
    Description

    Inflation Expectations in New Zealand increased to 2.29 percent in the second quarter of 2025 from 2.06 percent in the first quarter of 2025. This dataset provides - New Zealand Business Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. New Events Data in Lesotho

    • kaggle.com
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Lesotho [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-lesotho/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Lesotho
    Description

    Techsalerator's News Events Data for Lesotho: A Comprehensive Overview

    Techsalerator's News Events Data for Lesotho offers a valuable resource for businesses, researchers, and media organizations. This dataset gathers information on significant news events across Lesotho, sourced from a variety of media outlets, including news organizations, online publications, and social platforms. It provides essential insights for those interested in tracking trends, analyzing public sentiment, or monitoring industry-specific developments.

    Key Data Fields - Event Date: Captures the exact date of the news event, important for monitoring trends over time or for businesses responding to market changes. - Event Title: A brief headline describing the event, enabling users to quickly categorize and assess news content based on relevance to their interests. - Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and evaluate the event's reach and influence. - Location: Provides geographic information on where the event occurred within Lesotho, valuable for regional analysis or localized marketing efforts. - Event Description: A detailed summary of the event, outlining key developments, participants, and potential impact. Useful for understanding the context and implications of the event.

    Top 5 News Categories in Lesotho - Politics: Major news on government decisions, political movements, elections, and policy changes impacting the national landscape. - Economy: Focuses on Lesotho’s economic indicators, inflation rates, international trade, and corporate activities influencing business and finance sectors. - Social Issues: Covers news events related to protests, public health, education, and other societal concerns driving public discourse. - Sports: Highlights events in popular sports, drawing widespread attention and engagement across the country. - Technology and Innovation: Reports on tech developments, startups, and innovations in Lesotho’s emerging tech sector, featuring new companies and advancements.

    Top 5 News Sources in Lesotho - Lesotho Times: A leading news outlet providing comprehensive coverage of national politics, economy, and social issues. - The Post: A major news platform known for its updates on breaking news, politics, and current affairs. - Radio Lesotho: A widely listened-to radio station offering insights into local politics, economic developments, and societal trends. - Sunday Express: A significant news source covering a broad range of topics including politics, economy, and social issues. - LENA (Lesotho News Agency): The national news agency delivering updates on significant events, public health, and sports across Lesotho.

    Accessing Techsalerator’s News Events Data for Lesotho To access Techsalerator’s News Events Data for Lesotho, please contact info@techsalerator.com with your specific needs. We will provide a customized quote based on the data fields and records you require, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is an invaluable tool for keeping track of significant events in Lesotho. It supports informed decision-making, whether for business strategy, market analysis, or academic research, providing a clear view of the country’s news landscape.

  19. New Events Data in Rwanda

    • kaggle.com
    Updated Sep 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Techsalerator (2024). New Events Data in Rwanda [Dataset]. https://www.kaggle.com/datasets/techsalerator/new-events-data-in-rwanda
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Rwanda
    Description

    Techsalerator's News Events Data for Rwanda: A Comprehensive Overview

    Techsalerator's News Events Data for Rwanda provides a valuable resource for businesses, researchers, and media organizations. This dataset aggregates information on significant news events across Rwanda, sourced from a variety of media outlets, online publications, and social platforms. It offers essential insights for those interested in tracking trends, analyzing public sentiment, or monitoring sector-specific developments.

    Key Data Fields - Event Date: Records the exact date of the news event, crucial for tracking trends over time or responding to market changes. - Event Title: Provides a brief headline describing the event, allowing users to quickly assess and categorize news content based on relevance. - Source: Identifies the news outlet or platform where the event was reported, helping users track credible sources and gauge the event's reach and influence. - Location: Offers geographic details indicating where the event occurred within Rwanda, useful for regional analysis or targeted marketing. - Event Description: Includes a detailed summary of the event, outlining key developments, participants, and potential impact. This information aids in understanding the context and implications of the event.

    Top 5 News Categories in Rwanda - Politics: Covers significant political events, government decisions, elections, and policy changes affecting the nation. - Economy: Focuses on economic indicators, inflation rates, trade activities, and corporate developments influencing Rwanda’s business and finance sectors. - Social Issues: Includes news on public health, education, social justice, and other societal matters driving public discourse. - Sports: Highlights major sporting events and achievements in football, athletics, and other popular sports, drawing national interest. - Technology and Innovation: Reports on advancements in Rwanda’s tech sector, including startup activities and technological innovations.

    Top 5 News Sources in Rwanda - The New Times: A leading news outlet providing extensive coverage of politics, economy, and social issues in Rwanda. - Rwanda Broadcasting Agency (RBA): The national broadcaster known for its comprehensive updates on news, politics, and current affairs. - IGIHE: A prominent online news platform offering timely reports on various topics, including politics and societal issues. - KT Press: A widely-read publication covering news related to politics, economy, and social matters. - Daily Monitor: A key source of news providing insights into Rwandan politics, economy, and regional developments.

    Accessing Techsalerator’s News Events Data for Rwanda To access Techsalerator’s News Events Data for Rwanda, please reach out to info@techsalerator.com with your specific requirements. We will provide a customized quote based on the data fields and records needed, with delivery available within 24 hours. Ongoing access options can also be discussed.

    Included Data Fields - Event Date - Event Title - Source - Location - Event Description - Event Category (Politics, Economy, Sports, etc.) - Participants (if applicable) - Event Impact (Social, Economic, etc.)

    Techsalerator’s dataset is a crucial tool for tracking significant events in Rwanda, aiding in decision-making, market analysis, or academic research by providing a clear overview of the country's news landscape.

  20. T

    United States Corporate Profits

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Corporate Profits [Dataset]. https://tradingeconomics.com/united-states/corporate-profits
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Mar 27, 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 31, 1947 - Mar 31, 2025
    Area covered
    United States
    Description

    Corporate Profits in the United States decreased to 3191.90 USD Billion in the first quarter of 2025 from 3312 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
IamHardy (2024). NIGERIA INFLATION RATES [Dataset]. https://www.kaggle.com/datasets/iamhardy/nigeria-inflation-rates
Organization logo

NIGERIA INFLATION RATES

Monthly Inflation Rates and Economic Indicators in Nigeria (2003-2024)

Explore at:
44 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 12, 2024
Dataset provided by
Kaggle
Authors
IamHardy
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Area covered
Nigeria
Description

Description: This dataset provides a comprehensive overview of monthly inflation rates in Nigeria from March 2003 to June 2024, alongside key economic indicators such as crude oil prices, production levels, and various Consumer Price Index (CPI) components. The data captures important economic trends and is suitable for time series analysis, forecasting, and economic modeling.

The dataset includes the following features:

Inflation Rate: The monthly inflation rate in Nigeria, reflecting the change in consumer prices.

Crude Oil Price: The monthly average price of crude oil, which plays a significant role in Nigeria's economy.

Production and Export: Monthly crude oil production and export figures, representing key components of Nigeria's GDP.

CPI Components: Detailed breakdown of the Consumer Price Index, including food, energy, health, transport, communication, and education.

This dataset is ideal for economists, data scientists, and analysts interested in exploring the dynamics of inflation in a developing economy heavily influenced by oil prices and production. Potential applications include inflation forecasting, economic policy analysis, and studying the impact of global oil prices on domestic inflation.

Search
Clear search
Close search
Google apps
Main menu