data generated from https://www.mockaroo.com/
The table mock data is part of the dataset A Restricted Dataset, available at https://redivis.com/datasets/1qsn-att9ajb16. It contains 1000 rows across 6 variables.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
OpenImageV7 Mock is a dataset for object detection tasks - it contains Censor annotations for 9,987 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This dataset was created by Abhishek Sharma
This dataset was created by Donnaya Wangwongwatana
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by Olubunmi Fadeyi
Released under CC0: Public Domain
Just viewing for practical purposes
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The API mocking software market is experiencing robust growth, projected to reach $25.6 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 18.8% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing complexity of modern software development necessitates efficient testing methodologies, and API mocking provides a crucial solution by simulating backend APIs during development and testing phases, accelerating the development lifecycle and reducing costs associated with delays. The rise of microservices architecture further amplifies this demand, as independent services require thorough testing before integration. Furthermore, the growing adoption of cloud-based solutions offers scalability and accessibility, contributing significantly to market growth. The market is segmented by application (large enterprises and SMEs) and deployment type (cloud-based and on-premise), with cloud-based solutions gaining significant traction due to their inherent flexibility and cost-effectiveness. Competitive activity is vibrant, with numerous players offering diverse features and pricing models, catering to varying needs within the development ecosystem. Geographical distribution shows significant market presence in North America and Europe, reflecting high technology adoption rates and a mature software development landscape in these regions. However, emerging economies in Asia-Pacific are also showing promising growth potential, driven by increasing digitalization and investment in software development capabilities. Continued growth in the API mocking software market is anticipated through 2033, driven by several factors. The increasing adoption of DevOps methodologies and the demand for faster release cycles necessitates robust testing solutions like API mocking. This trend will be further bolstered by innovations in the field, such as improved integration with CI/CD pipelines and the emergence of more sophisticated mocking tools capable of handling complex API interactions. While the on-premise segment will continue to exist, cloud-based solutions are expected to dominate the market due to their inherent advantages. The market's competitive landscape will remain dynamic, with ongoing innovation and potential mergers and acquisitions influencing market share. Geographic expansion will likely focus on regions with burgeoning technology sectors and a growing demand for agile software development practices. The overall outlook suggests a bright future for the API mocking software market, promising sustained growth and significant market expansion over the forecast period.
a MOCK dataset used to show how to import Qualtrics metadata into the codebook R package
This table contains variable names, labels, and number of missing values. See the complete codebook for more.
name | label | n_missing |
---|---|---|
ResponseSet | NA | 0 |
Q7 | NA | 0 |
Q10 | NA | 0 |
This dataset was automatically described using the codebook R package (version 0.9.5).
This dataset was created by Faith Omotayo
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
FOR MOCK DEFENSE is a dataset for object detection tasks - it contains Objects WOtT annotations for 20,001 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is a mock dataset for a variant calling exercise (https://github.com/manutamminen/teaching_materials/blob/master/variant_calling_pipeline.org).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Nichols-mock Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Distribution of Students By Grade Trends
This dataset was created by Aman ullah
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual total students amount from 1999 to 2023 for Drs Reed - Mock Elementary School
jixy2012/legacy-mock-corpus dataset hosted on Hugging Face and contributed by the HF Datasets community
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Minimal viral mock community metagenomes used as a test set for VirMake. VC1, VC2, VC3 each contain only 3 phages, and each share viral genomes with the other communities. List of viral genomes included in each dataset is provided in the communities.tsv description file.
This dataset provides information about the number of properties, residents, and average property values for Mock Road cross streets in Berlin Center, OH.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Baby Mock Sat is a dataset for object detection tasks - it contains Satellite annotations for 226 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Dataset Card for "mnli-mock-contrastive-axes"
More Information needed
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The global medical mock survey market size is estimated at USD 2.5 billion in 2023 and is projected to reach USD 5.2 billion by 2032, growing at a CAGR of 8.4% during the forecast period. This significant market growth is driven by the increasing emphasis on quality healthcare services and the rising need for compliance with healthcare regulations and standards.
One of the primary growth factors for the medical mock survey market is the ongoing demand for quality assurance in healthcare settings. Healthcare providers are under constant pressure to meet regulatory requirements and improve patient care standards. Mock surveys serve as a critical tool for identifying gaps in compliance and implementing corrective measures, thereby enhancing overall healthcare delivery. The heightened awareness among healthcare providers regarding the benefits of mock surveys is anticipated to drive market expansion.
Technological advancements are another key driving force behind the market's growth. The advent of digital platforms and advanced analytics has revolutionized the way these surveys are conducted. Online and telephonic surveys are gaining popularity due to their convenience and efficiency. Moreover, the integration of artificial intelligence and machine learning in survey analysis provides deeper insights and more accurate assessments, further propelling market growth. The continuous evolution of these technologies promises an even more robust market in the coming years.
The growing complexity of healthcare regulations also plays a pivotal role in the market's expansion. Governments and regulatory bodies across the globe are continually updating healthcare standards to ensure patient safety and improve service quality. Compliance with these ever-evolving standards is challenging for healthcare providers, making mock surveys an essential practice. These surveys help institutions stay ahead of regulatory changes and avoid penalties, thereby driving their adoption across various healthcare settings.
From a regional perspective, North America dominates the medical mock survey market, owing to the stringent healthcare regulations and the high adoption rate of advanced healthcare technologies. However, significant growth is also expected in the Asia Pacific region, driven by the burgeoning healthcare sector and increasing investments in healthcare infrastructure. Regions like Europe and Latin America are also anticipated to witness steady growth due to rising healthcare awareness and regulatory reforms.
In the medical mock survey market, the type segment is categorized into online surveys, paper-based surveys, and telephonic surveys. Online surveys hold a significant share due to their efficiency, cost-effectiveness, and ease of use. They enable real-time data collection and analysis, allowing healthcare providers to quickly identify and address compliance issues. The growing penetration of the internet and smartphones further supports the adoption of online surveys, making them a popular choice among healthcare institutions.
Paper-based surveys, although traditional, still hold relevance in the market. They are particularly useful in regions with limited internet access or among populations that are less tech-savvy. These surveys provide a tangible format that can be easily distributed and collected, ensuring inclusivity. However, the manual effort required for data entry and analysis is a drawback, limiting their growth potential compared to online surveys.
Telephonic surveys offer a middle ground by combining the personal touch of paper-based surveys with the convenience of digital platforms. They are especially effective in reaching out to patients and healthcare providers in remote areas where internet connectivity might be an issue. The ability to conduct interviews and get immediate feedback is a significant advantage, making telephonic surveys a valuable tool in the medical mock survey market.
Moreover, the advancement in telecommunication technologies has enhanced the efficiency of telephonic surveys. Automated calling systems and voice recognition software have made it easier to conduct large-scale surveys, reducing the time and effort involved. This technological integration is expected to boost the adoption of telephonic surveys in the coming years, contributing to the overall growth of the market.
data generated from https://www.mockaroo.com/
The table mock data is part of the dataset A Restricted Dataset, available at https://redivis.com/datasets/1qsn-att9ajb16. It contains 1000 rows across 6 variables.