This dataset is about books and is filtered where the book is MySQL and JSP Web applications : data-driven programming using Tomcat and MySQL, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

Results from Checkbot API to measure and collect 341 websites compatibility on multiple SEO variables (34 variables). Checkbot API indexes the website's code to find features capable of impacting SEO performance. Each website has been tested with the maximum number of links allowed to be crawled equally to 10.000 per test. In this way, we retrieved data about the overall websites performance including their sub-pages, and not only the main domain names. A scale from 0 (lowest rate) to 100 (highest rate) was adopted for each examined variable. This constitutes a useful managerial indicator of dealing with the quantification of websites performance while avoiding complex measurement systems that are difficult to be adopted by administrators. Websites tested were also categorized by the CMS type used. More information about the variables and the meaning of the results can be found at https://www.checkbot.io/

The statistic represents to which extent French companies store and use their client data in 2019. The study compared data driven companies who already store their client information and use their data as a mean of transaction growth and non-data driven companies who do not yet orient themselves around client data. From the non-data driven companies, none of them tracked their users responsiveness to e-mail campaigns or other forms of advertisements and webpage visits. Of the data driven companies, 100 percent tracked their client contact information as opposed to 50 percent from the non-data driven companies. Client orders were tracked by 83 percent of the data driven companies compared to 67 percent of the non-data driven ones. The details of the purchased products played to 92 percent an important role for data driven companies who also fully tracked their website visits.

The Reddit Subreddit Dataset by Dataplex offers a comprehensive and detailed view of Reddit’s vast ecosystem, now enhanced with appended AI-generated columns that provide additional insights and categorization. This dataset includes data from over 2.1 million subreddits, making it an invaluable resource for a wide range of analytical applications, from social media analysis to market research.

Dataset Overview:

This dataset includes detailed information on subreddit activities, user interactions, post frequency, comment data, and more. The inclusion of AI-generated columns adds an extra layer of analysis, offering sentiment analysis, topic categorization, and predictive insights that help users better understand the dynamics of each subreddit.

2.1 Million Subreddits with Enhanced AI Insights: The dataset covers over 2.1 million subreddits and now includes AI-enhanced columns that provide: - Sentiment Analysis: AI-driven sentiment scores for posts and comments, allowing users to gauge community mood and reactions. - Topic Categorization: Automated categorization of subreddit content into relevant topics, making it easier to filter and analyze specific types of discussions. - Predictive Insights: AI models that predict trends, content virality, and user engagement, helping users anticipate future developments within subreddits.

Sourced Directly from Reddit:

All social media data in this dataset is sourced directly from Reddit, ensuring accuracy and authenticity. The dataset is updated regularly, reflecting the latest trends and user interactions on the platform. This ensures that users have access to the most current and relevant data for their analyses.

Key Features:

• Subreddit Metrics: Detailed data on subreddit activity, including the number of posts, comments, votes, and user participation.
• User Engagement: Insights into how users interact with content, including comment threads, upvotes/downvotes, and participation rates.
• Trending Topics: Track emerging trends and viral content across the platform, helping you stay ahead of the curve in understanding social media dynamics.
• AI-Enhanced Analysis: Utilize AI-generated columns for sentiment analysis, topic categorization, and predictive insights, providing a deeper understanding of the data.

Use Cases:

• Social Media Analysis: Researchers and analysts can use this dataset to study online behavior, track the spread of information, and understand how content resonates with different audiences.
• Market Research: Marketers can leverage the dataset to identify target audiences, understand consumer preferences, and tailor campaigns to specific communities.
• Content Strategy: Content creators and strategists can use insights from the dataset to craft content that aligns with trending topics and user interests, maximizing engagement.
• Academic Research: Academics can explore the dynamics of online communities, studying everything from the spread of misinformation to the formation of online subcultures.

Data Quality and Reliability:

The Reddit Subreddit Dataset emphasizes data quality and reliability. Each record is carefully compiled from Reddit’s vast database, ensuring that the information is both accurate and up-to-date. The AI-generated columns further enhance the dataset's value, providing automated insights that help users quickly identify key trends and sentiments.

Integration and Usability:

The dataset is provided in a format that is compatible with most data analysis tools and platforms, making it easy to integrate into existing workflows. Users can quickly import, analyze, and utilize the data for various applications, from market research to academic studies.

User-Friendly Structure and Metadata:

The data is organized for easy navigation and analysis, with metadata files included to help users identify relevant subreddits and data points. The AI-enhanced columns are clearly labeled and structured, allowing users to efficiently incorporate these insights into their analyses.

Ideal For:

• Data Analysts: Conduct in-depth analyses of subreddit trends, user engagement, and content virality. The dataset’s extensive coverage and AI-enhanced insights make it an invaluable tool for data-driven research.
• Marketers: Use the dataset to better understand your target audience, tailor campaigns to specific interests, and track the effectiveness of marketing efforts across Reddit.
• Researchers: Explore the social dynamics of online communities, analyze the spread of ideas and information, and study the impact of digital media on public discourse, all while leveraging AI-generated insights.

This dataset is an essential resource for anyone looking to understand the intricacies of Reddit's vast ecosystem, offering the data and AI-enhanced insights needed to drive informed decisions and strategies across various fields. Whether you’re tracking emerging trends, analyzing user behavior, or conduc...

The Mobile Apps and Web Analytics Market size was valued at USD 9.1 Billion in the year 2024 and it is expected to reach USD 38.35 Billion in 2031, growing at a CAGR of 16.3% over the forecast period of 2024 to 2031.

Global Mobile Apps And Web Analytics Market Drivers

Increasing Adoption of Mobile Devices and Apps: The surge in smartphone use boosts the mobile apps and web analytics market, as businesses analyze mobile app performance to enhance user satisfaction and maintain competitiveness.

Growing Importance of Data-Driven Decision Making: Companies across sectors are embracing data-driven strategies to stay ahead, using mobile apps and web analytics for insights on user behavior and preferences, influencing product and marketing decisions.

Need for Enhanced User Experience and Engagement: Mobile apps and web analytics are critical for improving user experiences by identifying issues and optimizing interactions, leading to increasing user satisfaction and loyalty.

Shift towards Digital Transformation and Omnichannel Strategies: The move towards digital transformation and omnichannel approaches fuels the demand for mobile apps and web analytics, helping businesses measure effectiveness and optimize customer engagement across multiple channels.

Web Analytics Market Valuation – 2024-2031

Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2031, growing at a CAGR of 18.58% from 2024 to 2031.

Web Analytics Market Drivers

Data-Driven Decision Making: Businesses increasingly rely on data-driven insights to optimize their online strategies. Web analytics provides valuable data on website traffic, user behavior, and conversion rates, enabling data-driven decision-making.

E-commerce Growth: The rapid growth of e-commerce has fueled the demand for web analytics tools to track online sales, customer behavior, and marketing campaign effectiveness.

Mobile Dominance: The increasing use of mobile devices for internet browsing has made mobile analytics a crucial aspect of web analytics. Businesses need to understand how users interact with their websites and apps on mobile devices.

Web Analytics Market Restraints

Data Privacy and Security Concerns: As data privacy regulations become stricter, businesses must ensure that they collect and process user data ethically and securely.

Complex Web Analytics Tools: Some web analytics tools can be complex to implement and use, requiring technical expertise.

WISQARS is an interactive query system that provides data on injury deaths, violent deaths, and nonfatal injuries treated in U.S. emergency departments.

Contact forms and web tracking tools, as means of customer acquisition, were not used the same way among French data driven and non-data driven companies in 2019. The diagram shows that all data driven companies made use of contact forms and web tracking tools. Of the non-data driven companies, 28 percent used contact forms and 12 percent had a hold of web tracking tools.

Building database-driven web catalogs is a book. It was written by Sherif Danish and published by Mc Graw-Hill in 1998.

Success.ai is dedicated to providing advanced consumer insights that empower businesses to understand and predict consumer behaviors effectively. Our datasets are crafted from diverse online interactions, including keyword searches, sentiment analysis, and web activity, paired with detailed geodemographic data to offer a holistic view of consumer trends.

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• Web Activity Insights: Track how consumers interact online to refine your online marketing strategies and improve user engagement.
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According to the Cognitive Market Research Report, the Data Processing and Hosting Service market size in 2023 was XX Million and is projected to have a compounded annual growth rate of XX% from 2024 to 2031. The emergence of cloud-based platforms and the growing number of small and medium enterprises are driving the market growth of Data Processing and Hosting Services. This market is further segmented by type, application, and deployment. The shared hosting under product type, public website, and public deployment holds the dominant share in the data processing and hosting service. The market is divided into shared hosting, dedicated hosting, collocated hosting, virtual private server hosting, managed hosting, self-managed hosting, and others. The shared hosting sector leads the market since small and medium-sized businesses choose shared servers over other forms of hosting. The Asia-Pacific region is the most dominant due to its high share of the global internet population and major organizations' and SMEs' quick adoption of cloud services The Data Processing and Hosting Services Market is relatively competitive, with significant companies including GoDaddy Operating Company LLC, Bluehost (Endurance International Group), HostGator.com LLC, Hostinger International, Ltd., and Amazon Web Services Inc. Some players presently have a large market share. However, as hosting solutions for professional services progress, new firms are strengthening their market presence, consequently expanding their corporate footprint into emerging markets.

Market Dynamics of Data Processing And Hosting Service

Key Drivers

Web Hosting is gaining traction due to the emergence of cloud-based platforms.

Web hosting services are gaining pace in response to increased customer demand for web hosting services that are appropriate for their needs. Furthermore, the increased acceptance of cloud services in organizations is opening up new potential for the web hosting market over time. The rise of the cloud has had a massive impact on data management and hosting services. It is a low-cost way for businesses to make use of current technology and design without incurring the high upfront costs of acquiring, installing, and configuring the necessary hardware, software, and infrastructure. Furthermore, major firms were able to swiftly adapt to a developing data-driven economy by leveraging their current resources and competencies to manage it efficiently. Furthermore, SMBs globally are increasingly demanding cloud-based hosting services, which is likely to boost the web hosting sector throughout the projection period. The move to the cloud makes it easier to create programmes that users can use in their browsers rather than downloading on their devices. This greatly accelerates market expansion. Furthermore, with the introduction of web-based applications, app building became so simple that hosting several apps on a single server became straightforward. For instance, Hostinger International Ltd. is a well-known web hosting firm that offers hosting solutions. Hostinger is a trustworthy web hosting company. They offer fast loading speeds and excellent uptime rates to ensure that users may access the site anytime they want. Hostinger also provides knowledgeable and courteous customer service that is available around the clock. (Source: https://www.hostinger.in/about#:~:text=Hostinger%20is%20one%20of%20the,Hostinger%20and%20hustle%20with%20us) Therefore, the emergence of cloud-based platforms has expanded the data processing and hosting service market.

Growing small and medium enterprises and their requirement of increasing internet penetration are driving market growth. 

Small and medium-sized enterprises (SMEs) are critical to the economic prosperity of any country. The existence of SMEs promotes efficient usage of adjacent assets and boosts economies throughout the world. According to Siteefy, there are 1.13 billion websites globally, but only 200,121,724 are regularly accessed and maintained in 2023. Companies have recognised the necessity of an online presence, particularly in the aftermath of the COVID-19 epidemic. This enables them to reach a larger audience while remaining competitive in today's digital world. Consumers are increasingly relying on the internet to make purchases, indicating corporate success. As a result, small businesses have recognised the v...

Comparison of state-of-the-art approaches with the proposed work.

Benthic diatom assemblages are known to be indicative of water quality but have yet to be widely adopted in biological assessments in the United States due to several limitations. Our goal was to address some of these limitations by developing regional multi-metric indices (MMIs) that are robust to inter-laboratory taxonomic inconsistency, adjusted for natural covariates, and sensitive to a wide range of anthropogenic stressors. We aggregated bioassessment data from two national-scale federal programs and used a data-driven analysis in which all-possible combinations of 2-7 metrics were compared for three measures of performance. The datasets in this release support the Carlisle, et al. 2022 report cited herein. The article provides full details of data aggregation, model development, and application.

Unlock the power of ready-to-use data sourced from developer communities and repositories with Developer Community and Code Datasets.

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The Customer Feedback Software market is experiencing robust growth, projected to reach $1653.5 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 12.2% from 2025 to 2033. This expansion is driven by several key factors. Firstly, the increasing adoption of digital channels across various industries necessitates efficient and effective feedback mechanisms for understanding customer preferences and improving products/services. Businesses are increasingly recognizing the strategic value of customer feedback in driving customer loyalty, enhancing brand reputation, and improving operational efficiency. Secondly, the rise of cloud-based solutions offers scalability, accessibility, and cost-effectiveness, further fueling market growth. Finally, the proliferation of advanced analytics capabilities within these platforms allows businesses to derive actionable insights from customer feedback, fostering data-driven decision-making. The market is segmented by deployment type (cloud-based and web-based) and target customer size (large enterprises and SMEs). Cloud-based solutions are currently dominating the market, leveraging their inherent flexibility and ease of integration. Large enterprises are the primary adopters, primarily due to their higher budget allocations and greater need for sophisticated data analysis. However, SMEs are increasingly embracing these solutions, recognizing the importance of customer-centric strategies in a competitive landscape. Geographical distribution shows North America and Europe currently holding significant market share, but the Asia-Pacific region is expected to witness rapid growth in the coming years due to increasing internet penetration and digitalization. The competitive landscape is characterized by a blend of established players like HubSpot, Zendesk, and Qualtrics, alongside niche players specializing in specific feedback channels (e.g., Bazaarvoice for reviews). Future market growth will be influenced by advancements in AI-powered sentiment analysis, the integration of feedback tools across diverse customer touchpoints, and the development of more personalized customer experience strategies. The ongoing focus on data privacy and security will also be a key consideration for businesses selecting feedback software solutions, necessitating robust security measures and compliance with relevant regulations. Continued innovation in features and functionality, along with strategic partnerships and acquisitions, will shape the future competitive dynamics of this dynamic market.

The global split testing tools market is experiencing robust growth, projected to reach $914.5 million in 2025. While the exact Compound Annual Growth Rate (CAGR) isn't provided, considering the rapid adoption of digital marketing strategies and the increasing need for data-driven optimization, a conservative estimate places the CAGR between 15% and 20% during the forecast period (2025-2033). This growth is fueled by several key drivers. Businesses across all sizes—from small and medium-sized enterprises (SMEs) to large enterprises—are increasingly leveraging A/B testing and multivariate testing to enhance website conversion rates, improve user experience, and ultimately boost revenue. The rise of sophisticated cloud-based solutions offering scalable and user-friendly interfaces further contributes to market expansion. Trends such as personalization, AI-powered testing, and integration with other marketing automation tools are also driving demand. However, factors such as the initial investment required for implementing split testing tools and the complexity associated with interpreting results can act as restraints. The market is segmented by deployment type (web-based, cloud-based) and application (large enterprises, SMEs), reflecting the diverse needs of different user groups. The competitive landscape is dynamic, with established players like Optimizely, Adobe, and VWO alongside emerging innovative companies vying for market share. This competition fosters innovation and drives down prices, making split testing tools increasingly accessible to a wider range of businesses. The market's geographic distribution is diverse, with North America, Europe, and Asia Pacific representing significant revenue contributors. The growth in these regions is propelled by the high concentration of businesses that heavily invest in digital marketing and the presence of a strong technological infrastructure. While precise regional breakdowns are unavailable, we can predict that North America will maintain a significant market share due to early adoption and technological advancement. Europe and Asia Pacific are expected to witness considerable growth driven by increasing digitalization and the expansion of e-commerce. The forecast period (2025-2033) promises continued expansion, driven by ongoing technological advancements and the expanding adoption of data-driven decision-making in marketing and website optimization. The market's trajectory suggests a continued upward trend, underscoring the critical role split testing plays in the modern digital marketing landscape.

The global website analytics market, encompassing solutions for large enterprises and SMEs, is poised for significant growth. While the provided data lacks specific market size and CAGR figures, a reasonable estimation based on industry trends suggests a 2025 market size of approximately $15 billion, experiencing a compound annual growth rate (CAGR) of 12% from 2025 to 2033. This robust growth is fueled by several key drivers: the increasing reliance on data-driven decision-making across businesses, the escalating need for enhanced website performance optimization, and the growing adoption of sophisticated analytics tools offering deeper insights into user behavior and conversion rates. Market segmentation reveals strong demand across diverse analytics types, including product, traffic, and sales analytics. The competitive landscape is intensely dynamic, with established players like Google, SEMrush, and SimilarWeb vying for market share alongside emerging innovative companies like Owletter and TrendSource. These companies are constantly innovating to provide more comprehensive and user-friendly analytics platforms, leading to increased competition. This competitive pressure fosters innovation, but also necessitates strategic differentiation, focusing on specific niche markets or offering unique features to attract and retain customers. The market’s geographic distribution shows significant traction in North America and Europe, but emerging markets in Asia Pacific are also exhibiting substantial growth potential, driven by increasing internet penetration and digital transformation initiatives. While data security concerns and the complexity of implementing analytics tools present some restraints, the overall market outlook remains highly positive, promising considerable opportunities for market participants in the coming years.

Processed data for the "Property-Based Testing of Web APIs" paper. Each directory in the archive consists of:

• metadata.json. Metadata about a test run - tested fuzzer name, run duration, etc

• fuzzer.json - Structured fuzzer output

• deduplicated_cases.json - Deduplicated reported failures, when fuzzers provide it

• sentry.json - Cleaned Sentry events for this run

• target.json - Parsed stdout for Gitlab & Disease.sh targets that were tested without Sentry integration

Web Analytics Software Market size was valued at USD 2.95 Billion in 2024 and is projected to reach USD 9.40 Billion by 2031, growing at a CAGR of 15.60% from 2024 to 2031.

The Web Analytics Software Market is primarily driven by the increasing need for businesses to optimize their online presence and improve customer experience. As companies focus on data-driven decisions, the demand for advanced analytics tools to track user behavior, measure website performance, and improve digital marketing strategies is growing.

Additionally, the rise of e-commerce and mobile internet usage is accelerating the adoption of web analytics software. Businesses seek to understand customer preferences, enhance personalization, and boost conversion rates, further propelling market growth. The integration of AI and machine learning into analytics platforms also plays a significant role in enhancing predictive capabilities and automation.

Scientists are increasingly engaging the web to provide formal and informal science education opportunities. Despite the prolific growth of web-based resources, systematic evaluation and assessment of their efficacy remains limited. We used clickstream analytics, a widely available method for tracking website visitors and their behavior, to evaluate >60,000 visits over three years to an educational website focused on ecology. Visits originating from search engine queries were a small proportion of the traffic, suggesting the need to actively promote websites to drive visitation. However, the number of visits referred to the website per social media post varied depending on the social media platform and the quality of those visits (e.g., time on site and number of pages viewed) was significantly lower than visits originating from other referring websites. In particular, visitors referred to the website through targeted promotion (e.g., inclusion in a website listing classroom teaching...