Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Median (FEDTARMD) from 2025 to 2027 about projection, federal, median, rate, and USA.

Changes in rates and averaged correlated rates are two common analyses for binary response data in longitudinal factorial studies. The traditional logistic regression for repeated measures can be used to obtain statistical inference for these two analyses, however, it has two potential deficiencies: first, the model may not converge, and second, the resulted statistical inference in terms of a linear contrast of odds ratios seems hard to be interpreted and understood by practitioners. The current article applies the methods in Fan and derives statistical inferential procedures for the analysis of changes in rates and averaged correlated rates in terms of the rate difference (RD), the odds ratio (OR), and the rate ratio (RR). Numerical assessments through simulation studies and examples were employed to demonstrate advantages of statistical inference in terms of the RD over the OR or the RR in different aspects including model convergence and interpretation of the results. The current article can be viewed as special case studies of the methods by Fan while it provides clearer and more direct comparisons of the methods when analyzing changes in rates and averaged correlated rates in longitudinal factorial studies.

The benchmark interest rate in Canada was last recorded at 2.75 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Version 4 Notes

Version 4 contains results through June 17th, 2020. Includes upcoming-with-odds.csv with upcoming matches for weekend of June 20th, 2020.

Context

The Overwatch League (OWL) is a professional esports league. It began in 2018 and continues to this day. Overwatch is a 6v6 team shooter with great variety between heroes who can be played as.

Content

We have 56 columns describing different information about head-to-head match-ups. I hope to add individual player contributions in an upcoming update. Every OWL match in the history of the organization is included in the data

Column Definitions:

id: The unique match ID assigned by OWL team_one and team_two: The two teams competing stage: Overwatch Season and Part of Season winner: Winning Team date: Date of Match corona_virus_isolation: OWL matches normally occur in person in front of an audience. The Coronavirus pandemic has forced matches to occur remotely. This column records when this is the case. t1_wins_season and t2_wins_season: How many wins each team has respectively in the current season. t1_losses_season and t2_losses_season: How many losses each team has respectively in the current season. t1_matches_season and t2_matches_season: How many total matches each team has in the current season. t1_win_percent_season and t2_win_percent_season: The win percentage of each team for the current season. t1_wins_alltime and t2_wins_alltime: The all time win total for each team. t1_losses_alltime and t2_losses_alltime: The all time loss total for each team. t1_matches_alltime and t2_matches_alltime: The total number of matches each team has played t1_win_percent_alltime and t2_win_percent_alltime: The win percentage for each team all time. t1_wins_last_3 and t2_wins_last_3: Number of wins in the last three matches for each team. t1_losses_last_3 and t2_losses_last_3: The number of losses in the last three matches for each team. t1_win_percent_last_3 and t2_win_percent_last_3: The win percentage of the last three matches for each team. t1_wins_last_5 and t2_wins_last_5: Number of wins in the last five matches for each team. t1_losses_last_5 and t2_losses_last_5: The number of losses in the last five matches for each team. t1_win_percent_last_5 and t2_win_percent_last_5: The win percentage of the last five matches for each team. t1_wins_last_10 and t2_wins_last_10: Number of wins in the last ten matches for each team. t1_losses_last_10 and t2_losses_last_10: The number of losses in the last ten matches for each team. t1_win_percent_last_10 and t2_win_percent_last_10: The win percentage of the last ten matches for each team. t1_wins_last_20 and t2_wins_last_20: Number of wins in the last twenty matches for each team. t1_losses_last_20 and t2_losses_last_20: The number of losses in the last twenty matches for each team. t1_win_percent_last_20 and t2_win_percent_last_20: The win percentage of the last twenty matches for each team. t1_place_last_season and t2_place_last_season: The final position of each team in the previous season. t1_wins_vs_t2: The number of all time wins team 1 has over team 2. t1_losses_vs_t2: The number of all time losses team 1 has suffered against team 2. t1_matches_vs_t2: The number of matches team 1 has played against team 2. t1_win_percents_vs_t2: The all time win percentage of team 1 versus team 2. winner_label: 0 for team 1, 1 for team 2 t1_odds: American style gambling odds for team 1 t2_odds: American style gambling odds for team 2

Note: Rows are only aware of matches that have occurred before them. A match from May 5, 2019 would not have any match results from past that date included in its columns.

Acknowledgements

Overwatch League Stats come from the OWL Stats Lab Overwatch League gambling odds were scraped from OddsPortal.com The code I used to scrape and prepare the data can be found on my GitHub

Final Thoughts

Do what you will with this data. If you end up coming up with anything cool please reach out to me. I would love to hear about it.

This is my first attempt at adding a dataset to Kaggle. Any feedback would be appreciated.

Vaccination rates and odds ratios by socio-demographic group among people living in England.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

1Estimated odds ratios are computed using a logistic regression model accounting for the sampling design and adjusting for gender and behavioral risk score, as described in Haynes et al [2].2Estimated odds ratio per one standard deviation increment in the immune biomarker; not available (NA) if response rates, when applicable, are less than 50%. For example, the OR of 0.70 (ELISA binding to gp70-V1V2) means that for every higher SD value, the rate of infection is reduced by 30%, while the OR of 0.43 means that vaccinees with responses in the upper third had an infection rate 57% lower than vaccinees with responses in the lower third.3Estimated odds ratios comparing subgroups defined by high vs. low responses except for two (IgA V2 A244 K178 and V2 MN) which compare positive vs. negative response and one (biotin V2 peptide 6) which compares high vs. negative; not available (NA) for Cyclic V2 scrambled mid-region (ELISA) which has no positive responses.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this Dataset

Trying to analyze historical betting odds for whether MLB games will go over or under the betting line? This dataset is for you. More than 13,000 rows include data for all games played between 2013 and 2018.

Category

Sports

Keywords

baseball,mlb,Betting,odds,probability

Row Count

13162

Price

$100.00

Internal Optical Disc Drives (ODDs) Market Outlook

The global internal optical disc drives (ODDs) market size was valued at approximately USD 1.2 billion in 2023, and it is projected to reach around USD 2.1 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 6.1% during the forecast period. The growth in market size can be attributed to increasing data storage needs, the resurgence of physical media for archival purposes, and continuous demand from specific industrial and gaming applications.

One of the primary growth factors driving the internal ODDs market is the enduring demand for physical media and its role in data archiving. Despite the rise of cloud storage and digital distribution platforms, many enterprises and individual users prefer physical media for their critical data due to its longevity, reliability, and security. Optical discs offer a cost-effective and durable solution for long-term data storage, which is a significant factor contributing to the sustained demand for internal ODDs.

Another significant growth driver is the gaming industry's reliance on optical disc drives, particularly in gaming consoles. Modern gaming consoles still incorporate ODDs to cater to users who prefer physical copies of games. This trend is observed not only in personal gaming setups but also in gaming tournaments and events where physical media is preferred to avoid digital piracy. As gaming continues to be a dominant entertainment form, the demand for internal ODDs within this segment is expected to remain robust.

Technological advancements in optical disc drives, such as enhanced reading and writing speeds, increased storage capacities, and improved compatibility with various disc formats, are also contributing to market growth. Innovations like Ultra HD Blu-ray drives, which support higher resolution video and larger storage capacities, are attracting both consumer and commercial segments, thereby propelling market expansion. Additionally, ODDs are becoming more energy-efficient and compact, making them appealing for integration into modern computing systems.

The introduction of Disk Laser technology has revolutionized the capabilities of optical disc drives, offering unprecedented precision and efficiency in data reading and writing processes. Disk Lasers, known for their high beam quality and stability, have enabled ODDs to achieve faster data transfer rates and improved accuracy in media playback. This advancement is particularly beneficial for applications requiring high-definition content and large data volumes, such as gaming and media production. By incorporating Disk Laser technology, manufacturers can enhance the performance and reliability of ODDs, making them more appealing to both consumer and commercial markets. The ongoing development of Disk Lasers is expected to drive further innovation in the ODD industry, ensuring that these devices remain competitive in an increasingly digital landscape.

The regional outlook of the internal ODDs market reveals significant growth potential in emerging markets such as the Asia Pacific. The region's booming electronics manufacturing industry, coupled with rising disposable incomes and increasing adoption of gaming consoles and personal computers, is driving demand for internal ODDs. North America and Europe, while mature markets, continue to exhibit steady demand due to the presence of established IT infrastructure and a large base of gaming enthusiasts.

Type Analysis

The internal optical disc drives market is segmented by type into DVD Drives, Blu-ray Drives, and CD Drives. DVD Drives have long been the most common optical drives used in personal computers and other electronic devices. Their popularity stems from their affordability and versatility in reading and writing DVDs, which are widely used for data storage and media playback. Despite the rise of higher-capacity Blu-ray discs, DVD Drives continue to dominate a significant portion of the market due to their lower cost and compatibility with a vast existing library of DVD media.

Blu-ray Drives are gradually gaining traction, especially among users who require higher storage capacities and better media quality. Blu-ray discs offer superior video and audio quality, making them a preferred choice for high-definition media playback. The adoption of Blu-ray Drives is particularly high in the gaming industry and among enthusiasts who prioritize high-definition content. Furthermore, the

Ratio values (IRR = Incidence Rate Ratio and OR = Odds Ratio), confidence intervals, and significance values for models of the number of wiregrass plants per plot and the proportion of flowering wiregrass plants per plot.

Korea Racing Authority provides odds data for combinations of entry numbers for quiver, a method of purchasing horse racing tickets that predicts both the 1st and 2nd place entry numbers for races held at racecourses in Seoul, Busan-Gyeongnam, and Jeju, regardless of the order of arrival. (Provided data are racecourse, race date, race number, entry number combination 1, entry number combination 2, and odds data.) - If neither the race year and month nor the race date are entered as requested variables, information for the past month of the most recent race date is displayed. ※ Additional explanation of betting types - Win: This is a method to predict 1 horse to finish in 1st place. - Consecutive: This is a method to predict 1 horse to finish in 1st to 3rd place. - Place: This is a method to predict 2 horses to finish in 1st to 3rd place, regardless of order. - Place: This is a method to predict 2 horses to finish in 1st and 2nd place, regardless of order. - Twin: This is a method of predicting the two horses that will finish in 1st and 2nd place in that order. - Triple: This is a method of predicting the three horses that will finish in 1st, 2nd, and 3rd place in that order. - Tri-Twin: This is a method of predicting the three horses that will finish in 1st, 2nd, and 3rd place in that order.

Real-time price movements for 1X2, Over/Under 2.5 and BTTS; refreshed about every 3 minutes.

Introduction: For assessing drug safety using spontaneous reporting system databases, quantitative measurements, such as proportional reporting rate (PRR) and reporting odds ratio (ROR), are widely employed to assess the relationship between a drug and a suspected adverse drug reaction (ADR). The databases contain numerous ADRs, and the quantitative measurements need to be calculated by performing the analysis multiple times for each ADR. We proposed a novel, simple, and easy-to-implement method to estimate the PRR and ROR of multiple ADRs in a single analysis using a generalized mixed-effects model for signal detection.Methods: The proposed method simultaneously analyzed the association between any drug and numerous ADRs, as well as estimated the PRR and ROR for a specific combination of drugs and suspected ADRs. Furthermore, the proposed method was applied to detect drug-drug interactions associated with the concurrent use of two or more drugs.Results and discussion: In our simulation studies, the false-positive rate and sensitivity of the proposed method were similar to those of the traditional PRR and ROR. The proposed method detected known ADRs when applied to the Food and Drug Administration Adverse Event Reporting System database. As an important advantage, the proposed method allowed the simultaneous evaluation of several ADRs using multiple drugs.

Developing digital infrastructure and high penetration of connected devices in gaming are increasing the indulgence of sports betting around the world. The global sports betting market has been valued at US$ 102.4 billion in 2024 and has been projected to accelerate at 10% CAGR to reach US$ 265.5 billion by the end of 2034.

Country-wise Insights

Category-wise Insights

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Discover Earnings: Will DFS Defy the Odds?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

In July 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In the first half of 2025, Russia maintained the highest interest rate at 18 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at 0 percent in July 2025. In contrast, Russia maintained a high inflation rate of 8.8 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

AI-powered price forecasts for ODDS stock across different timeframes including weekly, monthly, yearly, and multi-year predictions.

Optical Disc Drives (ODDs) Market Outlook

The global Optical Disc Drives (ODDs) market size was valued at approximately USD 6.8 billion in 2023 and is projected to reach around USD 8.3 billion by 2032, growing at a compound annual growth rate (CAGR) of about 2.2% during the forecast period. The growth in this market is primarily attributed to the sustained demand for physical media in certain niches, technological advancements in disc technology, and the ongoing applications in industries where data integrity and permanence are paramount. Despite a general decline in consumer preference towards digital streaming services and cloud storage due to convenience, the ODD market finds its stability in specific applications requiring high data security and durability, which optical discs inherently provide.

One of the primary growth factors for the ODD market is the continuous development in optical disc technology itself. Advances such as increased storage capacity and improved read/write speeds are making optical discs a viable option for data-heavy applications. This is particularly important in sectors where reliable data storage is crucial, such as healthcare, where patient records and imaging data must be securely archived for extended periods. Furthermore, in areas like archival data storage, the non-volatile nature of optical discs provides an added advantage over other storage solutions, ensuring data remains intact without power or regular maintenance. These attributes help maintain a demand for ODDs, especially in specialized industries where data integrity is mission-critical.

Another significant growth factor is the use of ODDs in emerging markets. In many regions, internet infrastructure is still developing, and access to high-speed, unlimited broadband is limited. In such scenarios, physical media remains a popular method for distributing software, games, movies, and educational content. In addition, educational institutions and libraries in these regions frequently use optical media for archival purposes, often due to budget constraints and a lack of reliable digital alternatives. This trend is supported by government initiatives in these areas to make educational content more accessible, thereby indirectly fostering the growth of the ODD market.

The entertainment industry continues to be a considerable contributor to the optical disc drive market, particularly for high-definition video and audio formats like Blu-ray. Collectors and enthusiasts in this space often prefer physical media due to its superior quality and the tactile experience it offers, which digital copies cannot replicate. Moreover, limited edition releases and special collector's items remain in high demand, a trend that has been capitalized on by content producers who offer exclusive content on optical media. This niche market, although not expansive, is lucrative and maintains a steady demand for ODDs among consumers who value the tangible aspects of media ownership.

In the context of evolving technology, the role of the CD and DVD Drive remains significant, especially in regions where digital infrastructure is still developing. These drives serve as essential components for accessing physical media, which continues to be a preferred method for distributing software, educational content, and multimedia in areas with limited internet connectivity. The durability and reliability of CDs and DVDs make them ideal for long-term data storage, ensuring that critical information remains accessible without the need for constant internet access. As a result, CD and DVD Drives continue to be relevant in both consumer and professional settings, catering to users who value the tangibility and permanence of physical media.

Regionally, the market dynamics vary significantly. The Asia Pacific region is anticipated to experience robust growth due to the high concentration of optical disc production facilities and the persistent demand for optical media in countries like Japan and South Korea, where technological products are rapidly consumed. North America and Europe, on the other hand, are characterized by a more mature market with steady but slower growth rates due to the widespread adoption of digital media solutions. However, both regions still witness a steady demand from niche markets and industries requiring robust data storage solutions. Latin America and the Middle East & Africa, though smaller in market size, are gradually adopting optical disc technology for both consumer and industrial applications, driven by the expansion of technological infrastructure

Meta‐studies on hermaphrodites have found a negative relationship between primary selfing rates and levels of inbreeding depression (ID) and, thus, generally support purging in inbred systems. However, in plants, high among‐taxa variance in ID results in no difference in the mean ID between outcrossing and mixed‐mating taxa. Selective interference likely explains high ID among mixed‐mating taxa, whereas low levels of ID among mixed‐mating taxa are not as stressed. Among animal hermaphrodites, primarily molluscs, there are little data on mixed‐mating systems. To fill a taxonomic and mating system gap, we tested for ID in a mixed‐mating tapeworm, Oochoristica javaensis. We provide a direct estimate of ID across infection of an intermediate host by comparing selfing rates at two life history stages. We found little to no evidence for ID, and the level of ID falls in line with what is reported for highly selfing species even though O. javaensis has mixed mating. We discuss this result within the context of kin mating in O. javaensis. Our results emphasize that primary selfing rates alone may be insufficient to classify the inbreeding history in all species when testing for a relationship to ID. Mixed‐mating taxa, and possibly some outcrossing taxa, may exhibit low levels of ID if biparental inbreeding is also driving purging. We advocate that ID studies report estimates of inbreeding history (e.g. FIS or identity disequilibrium) from nature‐derived adult samples to provide context rather than relying on primary selfing rates alone.