Business Context

With the availability of internet services on mobile devices, the way that people work, socialize, organize, and entertain themselves has radically changed. With access to entertainment channels, news, learning and research material, real-time video calling, and more, these multimedia communication devices have become an integral part of our day-to-day lives.

Objective

A reputed research and consultation firm recently conducted a study on the increasing rate of internet usage over the past decade and reported that a typical American spends 144 minutes (2.4 hours) per day, on average, accessing the internet via a mobile device. You wish to test the validity of this statement. So, you reached out to friends and family to understand the time they spend per day accessing the internet via mobile devices. You received responses from 29 people and based on that, you want to check if there is enough evidence to suggest that the mean time spent per day accessing the internet via mobile devices is different from 144 minutes. A 5% significance level has been chosen.

Data Dictionary

The results for the time spent per day accessing the Internet via a mobile device (in minutes) are stored in InternetMobileTime.csv.

Statistics of how many adults access the internet and use different types of technology covering: home internet access how people connect to the web how often people use the web/computers whether people use mobile devices whether people buy goods over the web whether people carried out specified activities over the internet For more information see the ONS website and the UKDS website.

Time-Wasters on Social Media Dataset Overview The "Time-Wasters on Social Media" dataset offers a detailed look into user behavior and engagement with social media platforms. It captures various attributes that can help analyze the impact of social media on users' time and productivity. This dataset is valuable for researchers, marketers, and social scientists aiming to understand the nuances of social media consumption.

This dataset was generated using synthetic data techniques with the help of NumPy and pandas. The data is artificially created to simulate real-world social media usage patterns for research and analysis purposes.

Columns Description UserID: A unique identifier assigned to each user. Age: The age of the user. Gender: The gender of the user. Location: The geographical location of the user. Income: The annual income of the user. Debt: Tells If the is in Debt or Not. Owns Property: Indicates whether the user owns any property (Yes/No). Profession: The profession or job title of the user. Demographics: Additional demographic information about the user (Rural or Urban Life). Platform: The social media platform used by the user (e.g., Facebook, Instagram, TikTok). Total Time Spent: The total time the user has spent on the platform. Number of Sessions: The number of sessions the user has had on the platform. Video ID: A unique identifier for each video watched. Video Category: The category of the video watched (e.g., Entertainment, Gaming, Pranks, Vlog). Video Length: The length of the video watched. Engagement: The engagement level of the user with the video (e.g., Likes, Comments). Importance Score: A score representing the perceived importance of the video to the user. Time Spent On Video: The amount of time the user spent watching the video. Number of Videos Watched: The total number of videos watched by the user. Scroll Rate: The rate at which the user scrolls through content. Frequency: How frequently the user logs into the platform. Productivity Loss: The amount of productivity lost due to time spent on social media. Satisfaction: The satisfaction level of the user with the content consumed. Watch Reason: The reason why the user watched the video (e.g., Entertainment, Information). DeviceType: The type of device used to access the platform (e.g., Mobile, Desktop). OS: The operating system of the device used. Watch Time: The specific time of day when the user watched the video. Self Control: The user's self-assessed level of self-control while using the platform. Addiction Level: The user's self-assessed level of addiction to social media. Current Activity: The activity the user was engaged in before using the platform. ConnectionType: The type of internet connection used by the user (e.g., Wi-Fi, Mobile Data).

Usage This dataset can be utilized to:

Analyze patterns in social media usage. Understand demographic differences in platform engagement. Examine the impact of social media on productivity. Develop strategies to improve user engagement and satisfaction. Study the correlation between social media usage and various demographic factors.

Internet users (per 100 people) Internet users are individuals who have used the Internet (from any location) in the last 12 months. Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.

SourceInternational Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. License Open Aggregation Method: Weighted average Development Relevance: The digital and information revolution has changed the way the world learns, communicates, does business, and treats illnesses. New information and communications technologies (ICT) offer vast opportunities for progress in all walks of life in all countries - opportunities for economic growth, improved health, better service delivery, learning through distance education, and social and cultural advances. Today's smartphones and tablets have computer power equivalent to that of yesterday's computers and provide a similar range of functions. Device convergence is thus rendering the conventional definition obsolete. Comparable statistics on access, use, quality, and affordability of ICT are needed to formulate growth-enabling policies for the sector and to monitor and evaluate the sector's impact on development. Although basic access data are available for many countries, in most developing countries little is known about who uses ICT; what they are used for (school, work, business, research, government); and how they affect people and businesses. The global Partnership on Measuring ICT for Development is helping to set standards, harmonize information and communications technology statistics, and build statistical capacity in developing countries. However, despite significant improvements in the developing world, the gap between the ICT haves and have-nots remains. General Comments: Please cite the International Telecommunication Union for third-party use of these data. Limitations and Exceptions: Operators have traditionally been the main source of telecommunications data, so information on subscriptions has been widely available for most countries. This gives a general idea of access, but a more precise measure is the penetration rate - the share of households with access to telecommunications. During the past few years more information on information and communication technology use has become available from household and business surveys. Also important are data on actual use of telecommunications services. Ideally, statistics on telecommunications (and other information and communications technologies) should be compiled for all three measures: subscriptions, access, and use. The quality of data varies among reporting countries as a result of differences in regulations covering data provision and availability. Discrepancies may also arise in cases where the end of a fiscal year differs from that used by ITU, which is the end of December of every year. A number of countries have fiscal years that end in March or June of every year. Periodicity: Annual Statistical Concept and Methodology: The Internet is a world-wide public computer network. It provides access to a number of communication services including the World Wide Web and carries email, news, entertainment and data files, irrespective of the device used (not assumed to be only via a computer - it may also be by mobile phone, PDA, games machine, digital TV etc.). Access can be via a fixed or mobile network.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Personal Location Data Market

Data From: "There’s a Multibillion-Dollar Market for Your Phone’s Location Data"

Original source. Author: The Markup

About this dataset

There’s a multibillion-dollar market for your phone’s location data. We surveyed 100 companies to find out who they are, what they do with your data, and whether they follow best practices.

Your phone’s location is constantly being tracked and collected by hundreds of companies, many of which are unknown to you. This data is valuable—and it’s being bought and sold in a thriving industry with little regulation.

The Markup surveyed 100 companies that collect or sell location data to get a better understanding of this industry and what it means for your privacy. We asked these companies about their policies and practices around collecting, using, and selling location data. We also reviewed their public statements and website disclosures related to privacy.

What we found was an industry that lacks transparency and accountability, with few companies following best practices around protecting the privacy of their users’ data. In many cases, these companies are collecting more data than they need, retaining it for longer than necessary, sharing it with third parties without user consent, or failing to secure it properly—putting users at risk of identity theft, fraud, or other harms.

If you care about your privacy, you should know who has access to your location data—and what they’re doing with it. This dataset contains information on the 100 companies we surveyed so that you can make informed choices about which ones to trust with your personal data

How to use the dataset

This dataset contains information on companies that collect and sell location data. The data includes the company name, website, logo, narrative, company response, privacy email, privacy policy, and whether or not the company is a California-licensed data broker

Research Ideas

• To study how location data is collected and sold
• To understand the business model of location data companies
• To learn about the privacy policies of these companies

Acknowledgements

This dataset was compiled and analyzed by The Markup. The Markup is a nonprofit newsroom that investigates how powerful institutions impact our lives

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: location-data-companies.csv | Column name | Description | |:-------------------|:--------------------------------------------------------------------| | name | The name of the company. (String) | | website | The company's website. (String) | | logo | The company's logo. (String) | | narrative | A description of the company. (String) | | privacy_email | The company's privacy email address. (String) | | privacy_policy | The company's privacy policy. (String) | | CA_broker | Whether the company is a California-licensed data broker. (Boolean) |

This database automatically captures metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Access to the Internet via mobile devices by regular users of the Internet, by age groups and sex, Slovenia, 2007-2019”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

This database automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Access to the Internet via mobile devices by regular users of the Internet, by degree of urbanisation of the area in which these users live, Slovenia, 2007-2019”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

This dataset covers the years 1990 through 2007 and contains two types of indicators for the global distribution of information, communication and technology (ICT) resources. The data includes gini coefficients for the distribution of Internet access within countries, and a technology diffusion index that weights the distribution of broadband subscribers, personal computers, mobile phones, Internet users, and international Internet bandwidth by economic output. The data are secondary source data, based on the analysis of primary data from 204 surveys fielded in 47 countries.

How many people use social media?

              Social media usage is one of the most popular online activities. In 2024, over five billion people were using social media worldwide, a number projected to increase to over six billion in 2028.

              Who uses social media?
              Social networking is one of the most popular digital activities worldwide and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at 59 percent. This figure is anticipated to grow as lesser developed digital markets catch up with other regions
              when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. Mobile-first market Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe.

              How much time do people spend on social media?
              Social media is an integral part of daily internet usage. On average, internet users spend 151 minutes per day on social media and messaging apps, an increase of 40 minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media.

              What are the most popular social media platforms?
              Market leader Facebook was the first social network to surpass one billion registered accounts and currently boasts approximately 2.9 billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.

Context

Data-driven models help mobile app designers understand best practices and trends, and can be used to make predictions about design performance and support the creation of adaptive UIs. This paper presents Rico, the largest repository of mobile app designs to date, created to support five classes of data-driven applications: design search, UI layout generation, UI code generation, user interaction modeling, and user perception prediction. To create Rico, we built a system that combines crowdsourcing and automation to scalably mine design and interaction data from Android apps at runtime. The Rico dataset contains design data from more than 9.3k Android apps spanning 27 categories. It exposes visual, textual, structural, and interactive design properties of more than 66k unique UI screens. To demonstrate the kinds of applications that Rico enables, we present results from training an autoencoder for UI layout similarity, which supports query-by-example search over UIs.

Content

Rico was built by mining Android apps at runtime via human-powered and programmatic exploration. Like its predecessor ERICA, Rico’s app mining infrastructure requires no access to — or modification of — an app’s source code. Apps are downloaded from the Google Play Store and served to crowd workers through a web interface. When crowd workers use an app, the system records a user interaction trace that captures the UIs visited and the interactions performed on them. Then, an automated agent replays the trace to warm up a new copy of the app and continues the exploration programmatically, leveraging a content-agnostic similarity heuristic to efficiently discover new UI states. By combining crowdsourcing and automation, Rico can achieve higher coverage over an app’s UI states than either crawling strategy alone. In total, 13 workers recruited on UpWork spent 2,450 hours using apps on the platform over five months, producing 10,811 user interaction traces. After collecting a user trace for an app, we ran the automated crawler on the app for one hour.

Acknowledgements

UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN https://interactionmining.org/rico

Inspiration

The Rico dataset is large enough to support deep learning applications. We trained an autoencoder to learn an embedding for UI layouts, and used it to annotate each UI with a 64-dimensional vector representation encoding visual layout. This vector representation can be used to compute structurally — and often semantically — similar UIs, supporting example-based search over the dataset. To create training inputs for the autoencoder that embed layout information, we constructed a new image for each UI capturing the bounding box regions of all leaf elements in its view hierarchy, differentiating between text and non-text elements. Rico’s view hierarchies obviate the need for noisy image processing or OCR techniques to create these inputs.

Total retail mobile revenues divided by number of active SIM cards

Original source

Electronic communications market indicators collected by Commission services, through National Regulatory Authorities, for the Communications Committee (COCOM) - January and July reports.:

http://ec.europa.eu/digital-agenda/about-fast-and-ultra-fast-internet-access

Parent dataset

This dataset is part of of another dataset:

http://digital-agenda-data.eu/datasets/digital_agenda_scoreboard_key_indicators

Themen: persönliche Maßnahmen zur Gewährleistung des Datenschutzes in der Online-Kommunikation: Nutzung von Software zur Verhinderung der Anzeige von Online-Werbung (Anti-Adware), Nutzung von Software zur Verhinderung der Überwachung der Online-Aktivitäten (Anti-Spyware), Meiden bestimmter Webseiten zur Verhinderung von Überwachung, Änderung der Datenschutzeinstellungen des Internet-Browsers; Wichtigkeit ausgewählter Aspekte in Bezug auf E-Privacy: Zugriff auf persönliche Daten nur nach vorheriger Zustimmung, Nutzung von Tools zur Überwachung nur nach vorheriger Zustimmung, garantierte Vertraulichkeit von E-Mails und Instant Messaging im Internet; Wissenstest zu Gesetzen zu E-Privacy: Zugriff auf persönliche Daten auf Computer, Smartphone oder Tablet nur nach vorheriger Zustimmung, Speicherverbot für externe Informationen (z.B. Cookies) auf Computer, Smartphone oder Tablet, Gewährleistung der Vertraulichkeit von Instant messaging- und online erfolgender Sprachkommunikation; Zustimmung zu den folgenden Aussagen: Provider sollten regelmäßige Updates zum Schutz persönlicher Daten zur Verfügung stellen, Browser-Standardeinstellungen sollten die Weitergabe von Informationen verhindern, Empfang zu vieler unaufgeforderter kommerzieller Anrufe, Möglichkeit zur Verschlüsselung von Nachrichten und Anrufen durch den Benutzer; Akzeptanz ausgewählter Maßnahmen im Hinblick auf die Überwachung von Online-Aktivitäten: Erlauben von Überwachung im Gegenzug für uneingeschränkten Zugang zu einer bestimmten Webseite, Austausch von Nutzerdaten zwischen Unternehmen zur Verbesserung personalisierter Angebote, Entrichtung eines Geldbetrags zur Gewährleistung der Anonymität; präferierter Zeitpunkt beim Webseitenbesuch für die Einholung der Erlaubnis zum Zugriff auf oder des Speicherns von persönlichen Daten; präferierte Regelung in Bezug auf kommerzielle Anrufe: generelle Erlaubnis, Erlaubnis unter der Voraussetzung des Anzeigens der Telefonnummer, spezielle Vorwahl für Werbeanrufe. Demographie: Häufigkeit der Nutzung der folgenden Kommunikationsmittel für ausgewählte Zwecke: Festnetzanschluss, Mobiltelefon für das Tätigen von Anrufen oder Senden von Textnachrichten, Internet für das Tätigen von Telefon- oder Videoanrufen, Internet für Instant Messaging, E-Mail, soziale Netzwerke im Internet, Internet zum Surfen; Alter; Geschlecht; Staatsangehörigkeit; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Region; Urbanisierungsgrad; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Land; Interviewmodus (Mobiltelefon oder Festnetz); Nationengruppe; Gewichtungsfaktor. Topics: measures taken to guarantee online privacy: use of software that protects from seeing online adverts (anti-adware), use of software that prevents online activities from being monitored (anti-spyware), avoidance of certain websites to prevent from being monitored, change of privacy settings on internet browser; importance of selected aspects regarding online privacy: access to personal information only with permission, use of monitoring tools only with permission, guaranteed confidentiality of e-mails and online instant messaging; knowledge test on laws on online privacy: personal information on computer, smartphone, or tablet are only allowed to be accessed with personal permission, interdiction to store external information (e.g. cookies) on personal computer, smartphone, or tablet, confidentiality of instant messaging and online voice conversation; approval of the following statements: providers should give regular software updates to protect personal information, default settings of browser should stop information from being shared, reception of too many commercial calls, encryption of messages and calls should be possible for the user; acceptance of selected measures with regard to monitoring online activities: being monitored in exchange for unrestricted access to a certain website, sharing of personal user information between companies to provide users with new services, pay not to be monitored; desired point of time when visiting a website to be asked for permission to access or to store user information; preferred approach concerning commercial calls: general allowance, allowance only under the condition of displaying phone number, phone numbers should have a special prefix. Demography: frequency of using the following means of communication for selected purposes: fixed phone line, mobile phone to make calls or send text messages, internet to make phone or video calls, internet for instant messaging, e-mail, online social networks, internet to browse online; age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size. Additionally coded was: respondent ID; country; type of phone line; nation group; weighting factor.

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This dataset shows the modelled profiles of internet use and engagement type that exist within the UK, with the predominant class for each Lower Super Output Area (LSOA) in the West Midlands Combined Authority identified. These classes, descriptions and their group identifier numbers are:e-Cultural Creators - This group has high levels of internet engagement, particularly regarding social networks, communication, streaming and gaming, but relatively low levels of online shopping, besides groceries. They are new but very active users, with a very high proportion of the population engaging on a daily basis. Their online behaviour can be explained by a demographic base that suggests a transitionary nature; the age structure of the group is young, typically aged between 18 to 24, and with a strong presence of multicultural and student populations. They have a wellabove average ownership of laptop devices, and an above average internet access via mobile and at public places. Geographically, this group is mainly located close to the city centre or within the proximity of Higher Education Institutes, where infrastructure accessibility, such as cable broadband, is sufficient.e-Professionals - The e-Professionals group have high levels of internet engagement, and comprises fairly young populations of urban professionals, typically aged between 25 and 34. They are experienced users and engage with the internet daily and in a variety of settings. While communication and entertainment activities are very common, they tend to favour entertainment, such as gaming, more than social networks. They also carry out a significant portion of shopping activities online, particularly for non-groceries, and they use a variety of devices and methods to access the internet. This group is ethnically diverse, with a very strong representation of white, non-British populations. They are well-qualified and have very high availability of internet at work. This group tends to be found at in residential areas abutting city centres or within affluent suburbs.e-Veterans - The e-Veterans group represents affluent families, usually located within low-density suburbs, with populations of mainly middle-aged and highly qualified professionals. They are more likely to be frequent and experienced users of the internet, having the second highest levels of internet access at work after the e-Professionals users. They engage with the internet using multiple devices and in a variety of ways. They are fairly mature users and as such they have higher levels of engagement for information seeking, online services and shopping, but relatively less so for communication and entertainment, particularly social networks or gaming.Youthful Urban Fringe - This group often resides at the edge of city centres and are often young and drawn from ethnic minorities. These include a mixture of students and other young urbanites living in informal households, often at the edges of materially deprived communities. Access through desktop devices is particularly low, suggesting a young and mobile profile of individuals. Access to broadband is average, possibly due to other modes of access, such as internet usage in public places. The levels of internet engagement are average over-all, with high levels of social media usage but low patronage of online retailing.e-Rational Utilitarians - Comprising mainly rural and semi-rural areas at the city fringe, high demand for internet services by members of this group is constrained by poor infrastructure. Users undertake online shopping, particularly for groceries, perhaps because of the limited offer from "bricks and mortar" retailers. Users tend to be late middle-aged or elderly, and as might be expected, include a high percentage of retired home owners. The preferred method of engagement with the internet is personal computers located at home, with low levels of mobile access. In addition to shopping, users search for information or access online banking rather than engage with social networks or gaming: the internet is used as a utility rather than a conduit for entertainment.e-Mainstream - This group exhibit modal internet user characteristics but are drawn from a wide range of social echelons as defined using conventional socioeconomic data, and most likely represent heterogeneous neighbourhoods. Geographically, the group is usually located at the periphery of urban areas or in transitional neighbourhoods. Their level of engagement is average across most attributes, characterising the typical user.Passive and Uncommitted Users - Many individuals have limited or no interaction with the internet. They tend to reside outside city centres and close to the suburbs or semi-rural areas. Members of this group have few distinctive characteristics in conventional socioeconomic terms, albeit higher levels of employment in semi-skilled and blue-collar occupations. Individuals are rarely online, and most commonly report use once a week or less. Access to broadband is well below average, and for those online, there is mild preference for access via smartphones. The internet is typically used for social networks, gaming and some limited online shopping.Digital Seniors - Members of this group are ageing and predominantly White British, retired and relatively affluent. They make average use of the internet, typically using a personal computer at home. Despite being infrequent users, they are adept enough to use the internet for information seeking, financial services and online shopping, but less so for social networks, streaming or gaming. Members of this group typically reside in semi-rural or coastal regions, where infrastructure provision is often limited.Settled Offline Communities - Most members of this group are elderly, White British and retired, and tend to reside in semirural areas. They undertake only limited engagement with the internet, they may have only rare access or indeed no access to it at all. Any online behaviour tends to be through home computers rather than mobile devices, and is focused upon information seeking and limited online shopping (particularly for more bulky items such as white goods) rather than social networking, gaming or media streaming.e-Withdrawn - This group is mainly characterised by individuals who are the least engaged with the internet. Their geography is expressed by areas that are associated with those more deprived neighbourhoods of urban regions. The socio-economic profile of the population is characterised by less affluent white British individuals or areas of high ethnic diversity; and it has the highest rate of unemployment and social housing among all other groups. The eWithdrawn group appears to have the highest ratio of people that don't have access, or have access but never engage with the internet. It also expresses the lowest rates of engagement in terms of information seeking and financial services, as well as the lowest rate in terms of online access via a mobile device. Online shopping is also particularly low, with the exception of clothing on credit, suggesting an opportunistic dimension to internet usage. This is further reinforced by the higher than average access to Cable broadband by TV Provider, which may suggest that some individuals have opted into broadband mainly for the TV-associated benefits. It is possible that many people within this group have opted out of online engagement, either because it is considered unnecessary or because of economic reasons.These modelled profiles were made using data from the British Population Survey regarding behavioural characteristics regarding internet usage, Ofcom infrastructure information such as average download speed in area, administrative and census demographic data from ONS and transactional data from online retailers.

Accounts-Payable Time Series for United Internet AG NA. United Internet AG, through its subsidiaries, operates as an Internet service provider worldwide. The company operates through Consumer Access, Business Access, Consumer Applications, and Business Applications segments. It offers landline-based broadband and mobile internet products, including home networks, online storage, smart home, and IPTV for private users; and telecommunication products ranging from fiber-optic direct connections to tailored ICT solutions, which include voice, data, and network solutions, as well as infrastructure services to national and international carriers and ISPs. The company also provides applications and services for home users, such as personal information management applications comprising email, to-do lists, appointments, and addresses; and online cloud storage and office software. In addition, it provides business applications for freelancers and small to medium enterprises, such as domains, websites, web hosting, servers, e-shops, group work, online cloud storage, and office software, as well as cloud solutions and infrastructure. It offers its access products through the yourfone, smartmobile.de, 1&1, and 1&1 Versatel brand names; and applications through GMX, mail.com, WEB.DE, home.pl, Arsys, STRATO, IONOS, Fasthosts, we22, InterNetX, united-domains, and World4You brand names. In addition, the company offers professional services in the fields of active domain management; performance-based advertising and sales services under the Sedo brand name; online advertising services under the United Internet Media brand name; and white-label website builder services under the we22 brand, as well as sells IT hardware. The company was founded in 1988 and is headquartered in Montabaur, Germany.

Total-Revenue Time Series for United Internet AG NA. United Internet AG, through its subsidiaries, operates as an Internet service provider worldwide. The company operates through Consumer Access, Business Access, Consumer Applications, and Business Applications segments. It offers landline-based broadband and mobile internet products, including home networks, online storage, smart home, and IPTV for private users; and telecommunication products ranging from fiber-optic direct connections to tailored ICT solutions, which include voice, data, and network solutions, as well as infrastructure services to national and international carriers and ISPs. The company also provides applications and services for home users, such as personal information management applications comprising email, to-do lists, appointments, and addresses; and online cloud storage and office software. In addition, it provides business applications for freelancers and small to medium enterprises, such as domains, websites, web hosting, servers, e-shops, group work, online cloud storage, and office software, as well as cloud solutions and infrastructure. It offers its access products through the yourfone, smartmobile.de, 1&1, and 1&1 Versatel brand names; and applications through GMX, mail.com, WEB.DE, home.pl, Arsys, STRATO, IONOS, Fasthosts, we22, InterNetX, united-domains, and World4You brand names. In addition, the company offers professional services in the fields of active domain management; performance-based advertising and sales services under the Sedo brand name; online advertising services under the United Internet Media brand name; and white-label website builder services under the we22 brand, as well as sells IT hardware. The company was founded in 1988 and is headquartered in Montabaur, Germany.

There are a total of 17 questions in the survey, addressing the following categories:Internet useMobile phone use (smartphones & basic voice/SMS phones)Awareness and use of WikipediaGeneral demographicsThe survey collected 2500 total responses, representing populations in 5 geographical regions served by 3 mobile Iraqi operators. 3 language choices (Arabic, English, Kurdish) were provided.Here are the main questions this survey was designed to answer. However, analyzing the full data set allows you to conduct more in-depth data explorations and gain meaningful insights beyond the points presented here.What is the actual number of people who use the internet?(Real-world behavior makes this difficult to measure from industry reports, since people might have access to the internet through school, friends, internet cafés, public Wifi, etc.)For internet users: What do people mostly use the internet for?For non-internet users: Why not use the internet?How many people use smartphones?Do people with smartphones use the internet from just Wifi? Or just cellular service?How many people think that they don’t use the internet, but still use Facebook or WhatsApp?How many people have heard of Wikipedia? What do they use it for? How often?If they have heard of Wikipedia, but aren’t using it, why not?Compared to previous phone surveys in other countries, the 2017 Iraq phone survey presented new questions.What are people’s awareness of other major internet brands in comparison to Wikipedia?Can people find online content in their preferred language?How does data cost impact internet use?

This statistic shows a ranking of the estimated number of mobile internet users in 2020 in Africa, differentiated by country.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Aktivitäten in der Freizeit. Internet- und Mobiltelefonnutzung. Vor- und Nachteile der Internet- und Mobiltelefonnutzung. Themen: Häufigkeit von Freizeitaktivitäten (Sport, Kino, Fernsehen, Gaststättenbesuche, Hobby, Informationssuche, Freundeskontakte); Häufigkeit aktiver Teilnahme an Vereinsaktivitäten; Personenvertrauen; Häufigkeit der Internetnutzung zu privaten Zwecken; Art der Internetnutzung; Verbesserungen durch das Internet: Bekanntschaften machen, Verwaltung von Finanzen, Umgang mit Behörden, Erhalt gesundheitsbezogener Informationen, Ausführung der Arbeit, Tätigung von Einkäufen, Gelegenheit zum Lernen, Ausüben von Hobbies, Information über aktuelle Themen, Kontakte zu Familienmitgliedern und Freunden sowie Gelegenheit zum kulturellen Austausch; Nachteile und Vorteile durch eine Nicht-Nutzung des Internets: geringere Gelegenheit zur persönlichen Kontaktpflege, Nachteile in Bezug auf die beruflichen Perspektiven, Risiko, altmodisch zu werden, weniger Offenheit gegenüber der Außenwelt, geringere Informiertheit, mehr Zeit für Freunde und Familie, geringes Risiko Opfer von Online-Betrug zu werden, höherer Schutz der persönlichen Daten, schlechtere Erreichbarkeit zu beruflichen Zwecken, geringeres Risiko der Frustration durch komplizierte Technologien; Internetnutzung über Freunde oder Verwandte; Nutzung eines Mobiltelefons; Vorteile der Mobiltelefonnutzung: Kontaktpflege mit Familie und Freunden, bessere Informiertheit, Organisation der Freizeit, Austausch von Ideen und Materialien, gesteigertes Sicherheitsgefühl, zu Arbeitszwecken; Auswirkungen durch eine Nicht-Nutzung von Mobiltelefonen: verpasste Gelegenheiten der Kontaktpflege, schlechtere Erreichbarkeit, Kostenersparnis, weniger Stress. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Region; Urbanisierungsgrad; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Gewichtungsfaktor. Attitudes towards the benefits of internet and mobile phone use. Topics: frequency of the following leisure activities: sport, cultural activities, watch TV, go out, pursue a hobby, keep oneself informed, meet friends; frequency of participating in activities of organisations; trust in other people; frequency of internet use; online activities: send or receive emails or instant messages, purchase goods or services, internet banking, download multimedia content or software, use electronic forms of public administration, learn, use social networks, look for information, read or watch news, upload content, do daily work, transfer content to other devices; assessment of the improvement in selected areas due to the internet: opportunity to meet new people, way to manage finances, way to deal with public authorities, way to get health-related information, way to perform job, way to shop, opportunity to learn, way to pursue hobbies, capability to be informed, personal relationships, opportunity to access culture; attitude towards the following statements on people that don’t use the internet: miss opportunity of greater contact to people, are at disadvantage in career prospects, are at risk of becoming old-fashioned, miss opportunity of finding good bargains, are less open to the world, are less informed, have more time, are not at risk of online fraud, are not at risk of others finding out personal information about them, are less reachable for professional purposes, avoid frustration of dealing with complicated technologies; asked other person in the last year to send email, get information from the internet or make online purchase for oneself; frequency of mobile phone use; assessment of the improvement in selected areas due to mobile phones: keep contact with people, capability to be informed, way to manage free time, share content, feel more secure, work; attitude towards the following statements on people that don’t use mobile phones: miss opportunity of greater contact to people, are less reachable, are saving money, have less stress. Demography: sex; age; age at end of education; occupation; professional position; region; type of community; household composition and household size. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; weighting factor.

India phone surveyThere are a total of 19 questions in the survey, addressing the following categories:Internet useMobile phone use (smartphones & basic voice/SMS phones)Awareness and use of WikipediaThe 2016 Indian phone survey is a composite of 7 individual regional surveys. The survey covered over 90% of India's geography, gathering over 9000 full responses from a set of 12 languages presented. Here are the main questions this survey was designed to answer. However, analyzing the full data set allows you to conduct more in-depth data explorations and gain meaningful insights beyond the points presented here:What is the actual number of people who use the internet?(Real-world behavior makes this difficult to measure from industry reports, since people might have access to the internet through school, friends, internet cafés, public Wifi, etc.)For internet users: What do people mostly use the internet for?For non-internet users: Why not use the internet?How many people use smartphones?Do people with smartphones use the internet from just Wifi? Or just cellular service?How many people think that they don’t use the internet, but still use Facebook or WhatsApp?How many people have heard of Wikipedia? What do they use it for? How often?If they have heard of Wikipedia, but aren’t using it, why not?