This statistic depicts select business metrics among the top 25 biopharmaceutical companies for 2019, by focus status of companies. According to the survey, biopharma companies that were more focused expect a historical revenue growth over the last five years of 14 percent, while among less focused companies expectations are around two percent.

During a global 2025 survey among marketers, nearly ** percent of respondents said they allocated more than ** percent of their marketing budget to TikTok. Nearly ** percent of respondents earmarked between ** and ** percent to TikTok, whereas ** percent did not designate a budget for the social media platform.

Comprehensive statistics and key metrics for Main Street Capital Corporation (MAIN) including valuation ratios, profitability metrics, and financial data.

NBA Stats: Post Season 2023/2024🏀

Welcome to the NBA Stats dataset for the post season 2023/2024! As an avid fan of basketball and sports analysis, I created this dataset to provide a comprehensive overview of player performance in the NBA during this exciting postseason.

The dataset comprises six sub-directories: - team estimated metrics - team games - team players dashboard - team players on/off details - team players on/off ratings - team season ranks by stats

The sub-directories contains CSV files of all team's estimated metrics, all stats for every game that each team played, stats for players on every team, rankings for each team's players on and off court, total stats for each team's players on and off court, and team's stats for season rankings.

Data for this dataset was collected from the official NBA website (https://www.nba.com/) using the NBA API library(https://github.com/swar/nba_api). The dataset is intended for sports enthusiasts, data analysts, and anyone interested in exploring and analyzing NBA player statistics for the 2023/2024 season.

My passion for basketball and sports analytics inspired me to compile this dataset. I believe it can be a valuable resource for researchers, analysts, and basketball enthusiasts who wish to delve deeper into the performance trends and metrics of NBA players during this exciting season.

The 2006 monthly average statistical metrics for 2m Q (g kg-1) domain-wide for the base and MODIS WRF simulations against MADIS observations.

This dataset is associated with the following publication: Ran, L., J. Pleim, R. Gilliam, F. Binkowski, C. Hogrefe, and L. Band. Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 121(5): 2393-2415, (2016).

Introduction to data.

Population metrics are provided at the census tract, planning district, and citywide levels of geography. You can find related vital statistics tables that contain aggregate metrics on natality (births) and mortality (deaths) of Philadelphia residents as well as social determinants of health metrics at the city and planning district levels of geography. Please refer to the metadata links below for variable definitions and the technical notes document to access detailed technical notes and variable definitions.

Metrics and summary statistics.

Errata: On Dec 2nd, 2018, several yearly statistics files were replaced with new versions to correct an inconsistency related to the computation of the "dma8epax" statistics. As written in Schultz et al. (2017) [https://doi.org/10.1525/elementa.244], Supplement 1, Table 6: "When the aggregation period is “seasonal”, “summer”, or “annual”, the 4th highest daily 8-hour maximum of the aggregation period will be computed.". The data values for these aggregation periods are correct, however, the header information in the original files stated that the respective data column would contain "average daily maximum 8-hour ozone mixing ratio (nmol mol-1)". Therefore, the header of the seasonal, summer, and annual files has been corrected. Furthermore, the "dma8epax" column in the monthly files erroneously contained 4th highest daily maximum 8-hour average values, while it should have listed monthly average values instead. The data of this metric in the monthly files have therefore been replaced. The new column header reads "avgdma8epax". The updated files contain a version label "1.1" and a brief description of the error. If you have made use of previous TOAR data files with the "dma8epax" metric, please exchange your data files.

The Stats extension for CKAN provides web-based statistical insights into the platform's use and the characteristics of its stored metadata. By offering pages dedicated to usage metrics, this extension enables administrators and users to understand how the CKAN instance is being used and what kinds of datasets it contains. The extension aims to make it easier to monitor and improve data accessibility and resource utilization. Key Features: Usage Statistics: Presents web pages that display statistics related to CKAN usage, such as the number of datasets, organizations, and users. The exact metrics visualized isn't specified so it is assumed a set of basic usage stats is provided. Metadata Statistics: Presents aggregated insights into the nature of the data stored within CKAN, allowing admins and others understand characteristics of the metadata. Web Interface: Integrates directly into CKAN's web interface, making the statistics easily accessible to users with the necessary permissions. Technical Integration: The Stats extension integrates into CKAN by adding to the ckan.plugins configuration option, enabling the extension's features once CKAN is restarted. It makes available new web pages showing statistics about the use and metadata stored. Deprecation Notice: ckanext-stats is included in CKAN core distribution for CKAN > 1.5.1, meaning, this extension is now part of core CKAN distribution post version 1.5.1 Benefits & Impact: This extension provides administrators with better insights into CKAN usage, leading to improved resource allocation and a better understanding of available data. By offering at-a-glance statistics, the extension simplifies the monitoring and optimization of the CKAN instance, allowing for improved data management practices over time.

In a 2025 survey, around ** percent of organizations stated that their top metric for measuring progress in the cloud was cost efficiency/savings. Moreover, ** percent indicated the importance of number of workloads migrated.

Errata: Due to a coding error, monthly files with "dma8epax" statistics were wrongly aggregated. This concerns all gridded files of this metric as well as the monthly aggregated csv files. All erroneous files were replaced with corrected versions on Jan, 16th, 2018. Each updated file contains a version label "1.1" and a brief description of the error. If you have made use of previous TOAR data files with the "dma8epax" metric, please exchange your data files.

A dataset of mentions, growth rate, and total volume of the keyphrase 'Labor Statistics' over time.

Multiple regression coefficient at provincial level in China.

In scientific research, assessing the impact and influence of authors is crucial for evaluating their scholarly contributions. Whereas in literature, multitudinous parameters have been developed to quantify the productivity and significance of researchers, including the publication count, citation count, well-known h index and its extensions and variations. However, with a plethora of available assessment metrics, it is vital to identify and prioritize the most effective metrics. To address the complexity of this task, we employ a powerful deep learning technique known as the Multi-Layer Perceptron (MLP) classifier for the classification and the ranking purposes. By leveraging the MLP’s capacity to discern patterns within datasets, we assign importance scores to each parameter using the proposed modified recursive elimination technique. Based on the importance scores, we ranked these parameters. Furthermore, in this study, we put forth a comprehensive statistical analysis of the top-ranked author assessment parameters, encompassing a vast array of 64 distinct metrics. This analysis gives us treasured insights in between these parameters, shedding light on the potential correlations and dependencies that may affect assessment outcomes. In the statistical analysis, we combined these parameters by using seven well-known statistical methods, such as arithmetic means, harmonic means, geometric means etc. After combining the parameters, we sorted the list of each pair of parameters and analyzed the top 10, 50, and 100 records. During this analysis, we counted the occurrence of the award winners. For experimental proposes, data collection was done from the field of Mathematics. This dataset consists of 525 individuals who are yet to receive their awards along with 525 individuals who have been recognized as potential award winners by certain well known and prestigious scientific societies belonging to the fields’ of mathematics in the last three decades. The results of this study revealed that, in ranking of the author assessment parameters, the normalized h index achieved the highest importance score as compared to the remaining sixty-three parameters. Furthermore, the statistical analysis results revealed that the Trigonometric Mean (TM) outperformed the other six statistical models. Moreover, based on the analysis of the parameters, specifically the M Quotient and FG index, it is evident that combining these parameters with any other parameter using various statistical models consistently produces excellent results in terms of the percentage score for returning awardees.

Multiple regression coefficient table and Pearson correlation coefficient table of NTL density in Indian state.

Multiple regression coefficient table and Pearson correlation coefficient table of total NTL amount in Indian state.

Multiple regression coefficient table and Pearson correlation coefficient table of NTL density in Indian state after excluding two megacities.