Contain informative data related to COVID-19 pandemic. Specially, figure out about the First Case and First Death information for every single country. First Case information consist of Date of First Case(s), Number of confirm Case(s) at First Day, Age of the patient(s) of First Case, Last Visited Country and the First Death information consist of Date of First Death and Age of the Patient who died first for every Country mentioning corresponding Continent. The datasets also contain the Binary Matrix of spread chain among different country and region.

This statistic shows the usage of spread cheese in the United States from 2011 to 2020 and a forecast thereof until 2024. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, 57.65 million Americans used spread cheese in 2020. This figure is projected to change to 59.62 million in 2024.

Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27449-spread-of-the-icc---earmarked 27449-spread-of-the-icc---earmarked

Introduction

Fake News Statistics: Fake news has become a major problem in today's digital age in recent years. It spreads quickly through social media and other online platforms, often misleading people. Fake news spreads faster than real news, thus creating confusion and mistrust among global people. In 2024, current statistics and trends reveal that many people have encountered fake news online, and many have shared it unknowingly.

Fake news affects public opinion, political decisions, and even relationships. This article helps us understand how widespread it is and helps us address several issues more effectively. Raising awareness and encouraging critical thinking can reduce its impact, in which reliable statistics and research are essential for uncovering the truth and stopping the spread of false information. Everyone plays a role in combating fake news.

This statistic depicts the estimated market value of food spread worldwide from 2019 to 2024. By 2024, the global food spread market was projected to be worth an estimated **** billion U.S. dollars.

Concept: Difference (spread) between average interest rate on new credit operations in the reference period in the National Financial System and corresponding average cost of funds. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 20783-average-spread-of-new-credit-operations---total 20783-average-spread-of-new-credit-operations---total

Abstract:

Analyzing the spread of information related to a specific event in the news has many potential applications. Consequently, various systems have been developed to facilitate the analysis of information spreadings such as detection of disease propagation and identification of the spreading of fake news through social media. There are several open challenges in the process of discerning information propagation, among them the lack of resources for training and evaluation. This paper describes the process of compiling a corpus from the EventRegistry global media monitoring system. We focus on information spreading in three domains: sports (i.e. the FIFA WorldCup), natural disasters (i.e. earthquakes), and climate change (i.e.global warming). This corpus is a valuable addition to the currently available datasets to examine the spreading of information about various kinds of events.Introduction:Domain-specific gaps in information spreading are ubiquitous and may exist due to economic conditions, political factors, or linguistic, geographical, time-zone, cultural, and other barriers. These factors potentially contribute to obstructing the flow of local as well as international news. We believe that there is a lack of research studies that examine, identify, and uncover the reasons for barriers in information spreading. Additionally, there is limited availability of datasets containing news text and metadata including time, place, source, and other relevant information. When a piece of information starts spreading, it implicitly raises questions such as asHow far does the information in the form of news reach out to the public?Does the content of news remain the same or changes to a certain extent?Do the cultural values impact the information especially when the same news will get translated in other languages?Statistics about datasets:

Statistics about datasets:

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# Domain Event Type Articles Per Language Total Articles

1 Sports FIFA World Cup 983-en, 762-sp, 711-de, 10-sl, 216-pt 2679

2 Natural Disaster Earthquake 941-en, 999-sp, 937-de, 19-sl, 251-pt 3194

3 Climate Changes Global Warming 996-en, 298-sp, 545-de, 8-sl, 97-pt 1945

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Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27446-spread-of-the-icc---nonearmarked 27446-spread-of-the-icc---nonearmarked

These files are videos generated by a stochastic simulation that was created by Nikki Steenbakkers under the supervision of Marko Boon and Bert Zwart (all affiliated with Eindhoven University of Technology) for her bachelor final project "Simulating the Spread of COVID-19 in the Netherlands". The report can be found in the TU/e repository of bachelor project reports:https://research.tue.nl/en/studentTheses/simulating-the-spread-of-covid-19-in-the-netherlandsThe report contains more information about the project and the simulation. It explicitly refers to these files.

Statistics illustrates consumption, production, prices, and trade of Dairy Spreads in Central Asia from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Dairy Spreads in San Marino from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Dairy Spreads in Colombia from 2007 to 2024.

This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks". The dataset consists of two sets of NumPy arrays. The first set: X_grid.npy and Y_grid.npy were used to train the convolutional LSTM, while the second set: X_graph.npy, Y_graph.npy, and edge_index.npy were used to train the graph convolutional LSTM. The data consists of spatiotemporally varying environmental and anthropogenic variables along with case reports of vesicular stomatitis. Resources in this dataset:Resource Title: NumPy Arrays of Spatiotemporal Features and VS Cases. File Name: vs_data.zipResource Description: This is a ZIP archive containing five NumPy arrays of spatiotemporal features and geotagged VS cases.Resource Software Recommended: NumPy,url: https://numpy.org/

Costa Rica CR: Interest Rate Spread data was reported at 4.022 % pa in 2023. This records a decrease from the previous number of 4.289 % pa for 2022. Costa Rica CR: Interest Rate Spread data is updated yearly, averaging 11.468 % pa from Dec 1982 (Median) to 2023, with 42 observations. The data reached an all-time high of 15.303 % pa in 1994 and a record low of 3.500 % pa in 1984. Costa Rica CR: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Interest Rates. Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.;International Monetary Fund, International Financial Statistics and data files.;Median;

Financial overview and grant giving statistics of People Spread Love

Graph and download economic data for ICE BofA Single-A US Corporate Index Option-Adjusted Spread (BAMLC0A3CA) from 1996-12-31 to 2025-06-27 about A Bond Rating, option-adjusted spread, corporate, and USA.

This data set provides monthly average price values, and the differences among those values, at the farm, wholesale, and retail stages of the production and marketing chain for selected cuts of beef, pork, and broilers. In addition, retail prices are provided for beef and pork cuts, turkey, whole chickens, eggs, and dairy products. Price spreads are reported for last 6 years, 12 quarters, and 24 months. The retail price file provides monthly estimates for the last 6 months. The historical file provides data since 1970.

This statistic shows the amount of Easy Cheese spread cheese used within a week in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, 2.95 million Americans used 1 pound or more of Easy Cheese spread cheese.

This statistic shows the usage of margarine / margarine spread in the United States from 2011 to 2020 and a forecast thereof until 2024. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, 184.2 million Americans used margarine / margarine spread in 2020. This figure is projected to decrease to 186.12 million in 2024.

Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 27445-spread-of-the-icc---individuals 27445-spread-of-the-icc---individuals