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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset provides a comprehensive overview of PHP frameworks, content management systems (CMS), and libraries. It includes usage statistics and popularity indicators for various PHP technologies like Laravel, Yii, CakePHP, Joomla, and others. This data is valuable for understanding technology trends in PHP development and for clustering frameworks, CMS, or libraries based on their usage patterns.
You can use this dataset for various tasks such as clustering, trend analysis, or technology recommendations. The dataset is ideal for machine learning projects like KMeans clustering, where groups of similar PHP tools can be identified based on their attributes.
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TwitterAs of 2025, JavaScript and HTML/CSS are the most commonly used programming languages among software developers around the world, with more than 66 percent of respondents stating that they used JavaScript and just around 61.9 percent using HTML/CSS. Python, SQL, and Bash/Shell rounded out the top five most widely used programming languages around the world. Programming languages At a very basic level, programming languages serve as sets of instructions that direct computers on how to behave and carry out tasks. Thanks to the increased prevalence of, and reliance on, computers and electronic devices in today’s society, these languages play a crucial role in the everyday lives of people around the world. An increasing number of people are interested in furthering their understanding of these tools through courses and bootcamps, while current developers are constantly seeking new languages and resources to learn to add to their skills. Furthermore, programming knowledge is becoming an important skill to possess within various industries throughout the business world. Job seekers with skills in Python, R, and SQL will find their knowledge to be among the most highly desirable data science skills and likely assist in their search for employment.
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TwitterAs of October 2025, 6.04 billion individuals worldwide were internet users, which amounted to 73.2 percent of the global population. Of this total, 5.66 billion, or 68.7 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 2025. In the Netherlands, Norway, and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide—over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a 10-percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most considerable usage penetration, 98 percent. In comparison, the worldwide average for the age group of 15 to 24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.
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TwitterIn the European Union, 88 percent of individuals accessed the internet daily in 2024, compared to 86 percent in 2023.
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TwitterThe most popular online activity in Poland in 2025 was using social media. Additionally, three-quarters of respondents purchased products or services on Polish websites, while four in ten did so on foreign websites.
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TwitterIn December 2024, over 77 percent of Polish mobile phone users accessed the web through Chrome Mobile, while Safari Mobile browser ranked second with over 9.8 percent.
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TwitterGoogle.com was the leading web domain in Poland in December 2024, with a reach of ***** percent. Youtube.com was next, reaching approximately ** percent of Polish internet users.
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TwitterIn 2022, the internet access market in Poland was worth 25.5 billion zloty. By 2028, the sector's revenue will grow to 27.8 billion zloty, with a CAGR of 1.4 percent between 2023 and 2028.
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TwitterThe most popular social networking sites among children were YouTube and Facebook in Poland in 2022. TikTok was used by 49 percent of minors, and Instagram by 28 percent.
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TwitterMobile data traffic in Latin America reached *** exabytes per month in 2024, up from the *** exabytes reported for 2023. Significant growth is expected in the coming years, with monthly traffic forecast to reach ** exabytes by 2030.
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TwitterThe number of smartphone users in Southeast Asia was forecast to continuously increase between 2024 and 2029 by in total 105.9 million users (+23.9 percent). After the nineteenth consecutive increasing year, the smartphone user base is estimated to reach 548.92 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Western Asia and Southern Asia.
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TwitterThe population share with mobile internet access in the United States was forecast to continuously increase between 2024 and 2029 by in total *** percentage points. After the ninth consecutive increasing year, the mobile internet penetration is estimated to reach ***** percent and therefore a new peak in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection. The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).
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TwitterMobile data usage is set to explode across the globe, with forecasts expecting monthly data traffic to **************** between 2024 and 2029. This explosion in data use will be driven by a range of shifting consumption habits, not least the adoption of data intensive artificial intelligence and cloud applications.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
There is no description available for this dataset.
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TwitterThis dataset contains the predicted prices of the asset ZIPSTREAM-PHP github.com/maennchen/ZIPSTREAM-PHP over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.
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TwitterIn December 2024, Chinese users spent an average of 171.7 hours on mobile internet, up by 3.5 percent compared to the same month in 2023. Among all categories, short video apps recorded the highest monthly usage, with an average of 62.9 hours. Besides, entertainment apps, particularly mobile games and video streaming, were where users spent plenty of time on.
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Twitterhttp://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html
I have compiled comprehensive Wiktionary wordlists for five languages - Kurmancî Kurdish (kmr), Chinese (zh), Japanese (ja), French (fr), and Persian/Farsi (fa) - extracted from ZIM files. These lists are available in JSON format, with each item containing the main entry word, its corresponding URL, and the associated page title. This JSON structure simplifies accessibility and integration, empowering researchers, linguists, and data scientists to utilize these invaluable resources for diverse linguistic analyses and natural language processing tasks. The availability of these compact and structured wordlists on Kaggle presents an exceptional opportunity for the data science community to delve into these languages' intricacies and enrich their projects with high-quality lexical data.
The complete Wiktionary for offline usage in MDX/MDD formats can be downloaded from below links:
Click to download
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TwitterAs revealed in a 2024 survey on festive marketing in India, the leading purpose brands used real-time consumer data during the festive period, was for personalized product recommendation. Targeted ads came a close second, as indicated by nearly 68 percent of surveyed brands. The festive season in India spans between September and February, aligning with nearly every major festival celebrated in the country and marking the most opportune time for marketing.
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TwitterThe global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like the Americas and Asia.
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TwitterThis statistic shows the average minutes of usage per user per month in the China Mobile network from 2012 to 2023. In 2023, each customer of China Mobile talked about 242 minutes per month on their cell phone.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset provides a comprehensive overview of PHP frameworks, content management systems (CMS), and libraries. It includes usage statistics and popularity indicators for various PHP technologies like Laravel, Yii, CakePHP, Joomla, and others. This data is valuable for understanding technology trends in PHP development and for clustering frameworks, CMS, or libraries based on their usage patterns.
You can use this dataset for various tasks such as clustering, trend analysis, or technology recommendations. The dataset is ideal for machine learning projects like KMeans clustering, where groups of similar PHP tools can be identified based on their attributes.