The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.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 internet users in countries like the Americas and Asia.

When asked about "Attitudes towards the internet", most Japanese respondents pick "I'm concerned that my data is being misused on the internet" as an answer. 35 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

Annual data on internet usage in Great Britain, including frequency of internet use, internet activities and internet purchasing.

How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place" as an answer. 56 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

Context

Internet privacy has gained widespread attention in recent years. To measure the degree to which people are concerned about hot-button issues like Internet privacy, social scientists conduct polls in which they interview a large number of people about the topic. In this assignment, we will analyze data from a July 2013 Pew Internet and American Life Project poll on Internet anonymity and privacy, which involved interviews across the United States.

Content

The dataset has the following fields (all Internet use-related fields were only collected from interviewees who either use the Internet or have a smartphone):

Internet.Use: A binary variable indicating if the interviewee uses the Internet, at least occasionally (equals 1 if the interviewee uses the Internet, and equals 0 if the interviewee does not use the Internet). Smartphone: A binary variable indicating if the interviewee has a smartphone (equals 1 if they do have a smartphone, and equals 0 if they don't have a smartphone). Sex: Male or Female. Age: Age in years. State: State of residence of the interviewee. Region: Census region of the interviewee (Midwest, Northeast, South, or West). Conservativeness: Self-described level of conservativeness of interviewee, from 1 (very liberal) to 5 (very conservative). Info.On.Internet: Number of the following items this interviewee believes to be available on the Internet for others to see: (1) Their email address; (2) Their home address; (3) Their home phone number; (4) Their cell phone number; (5) The employer/company they work for; (6) Their political party or political affiliation; (7) Things they've written that have their name on it; (8) A photo of them; (9) A video of them; (10) Which groups or organizations they belong to; and (11) Their birth date. Worry.About.Info: A binary variable indicating if the interviewee worries about how much information is available about them on the Internet (equals 1 if they worry, and equals 0 if they don't worry). Privacy.Importance: A score from 0 (privacy is not too important) to 100 (privacy is very important), which combines the degree to which they find privacy important in the following: (1) The websites they browse; (2) Knowledge of the place they are located when they use the Internet; (3) The content and files they download; (4) The times of day they are online; (5) The applications or programs they use; (6) The searches they perform; (7) The content of their email; (8) The people they exchange email with; and (9) The content of their online chats or hangouts with others. Anonymity.Possible: A binary variable indicating if the interviewee thinks it's possible to use the Internet anonymously, meaning in such a way that online activities can't be traced back to them (equals 1 if he/she believes you can, and equals 0 if he/she believes you can't). Tried.Masking.Identity: A binary variable indicating if the interviewee has ever tried to mask his/her identity when using the Internet (equals 1 if he/she has tried to mask his/her identity, and equals 0 if he/she has not tried to mask his/her identity). Privacy.Laws.Effective: A binary variable indicating if the interviewee believes United States law provides reasonable privacy protection for Internet users (equals 1 if he/she believes it does, and equals 0 if he/she believes it doesn't).

Acknowledgements

MITx ANALYTIX

This dataset consists of 734 entries representing social media activity and performance from a local SME (Micro, Small, and Medium Enterprise) across TikTok, Instagram, and Twitter platforms. It captures key metrics related to audience interaction and content strategy effectiveness, and is valuable for evaluating and optimizing digital marketing efforts for small businesses.

Area : Target location or customer region where the UMKM's content is directed. Category : The business content category (e.g., product promotion, education, seasonal campaign). Day : The day of the week the content was published. Month : The month the post went live. Platform : The social media platform used by the UMKM (TikTok, Instagram, or Twitter). Post Type : The format of the content posted: image, video, carousel, or text. Timestamp : The exact date and time when the content was posted. User : The username or business account that posted the content. Week : Week number within the year for time-based analysis. Year : The year the content was posted. Comments : Total number of comments received on the post. Engagement Rate : A calculated metric showing how engaging the content is (based on likes, comments, shares vs. reach/impressions). Hour : Hour of the day the post was published. Impressions : Number of times the content appeared on users' feeds. Likes : Number of likes the post received. Reach : Number of unique users who saw the content. Shares : Number of times users shared the content.

When asked about "Attitudes towards the internet", most Chinese respondents pick "It is important to me to have mobile internet access in any place" as an answer. 48 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

Introduction

The 802.11 standard includes several management features and corresponding frame types. One of them are Probe Requests (PR), which are sent by mobile devices in an unassociated state to scan the nearby area for existing wireless networks. The frame part of PRs consists of variable-length fields, called Information Elements (IE), which represent the capabilities of a mobile device, such as supported data rates.

This dataset contains PRs collected over a seven-day period by four gateway devices in an uncontrolled urban environment in the city of Catania.

It can be used for various use cases, e.g., analyzing MAC randomization, determining the number of people in a given location at a given time or in different time periods, analyzing trends in population movement (streets, shopping malls, etc.) in different time periods, etc.

Related dataset

Same authors also produced the Labeled dataset of IEEE 802.11 probe requests with same data layout and recording equipment.

Measurement setup

The system for collecting PRs consists of a Raspberry Pi 4 (RPi) with an additional WiFi dongle to capture WiFi signal traffic in monitoring mode (gateway device). Passive PR monitoring is performed by listening to 802.11 traffic and filtering out PR packets on a single WiFi channel.

The following information about each received PR is collected: - MAC address - Supported data rates - extended supported rates - HT capabilities - extended capabilities - data under extended tag and vendor specific tag - interworking - VHT capabilities - RSSI - SSID - timestamp when PR was received.

The collected data was forwarded to a remote database via a secure VPN connection. A Python script was written using the Pyshark package to collect, preprocess, and transmit the data.

Data preprocessing

The gateway collects PRs for each successive predefined scan interval (10 seconds). During this interval, the data is preprocessed before being transmitted to the database. For each detected PR in the scan interval, the IEs fields are saved in the following JSON structure:

PR_IE_data = { 'DATA_RTS': {'SUPP': DATA_supp , 'EXT': DATA_ext}, 'HT_CAP': DATA_htcap, 'EXT_CAP': {'length': DATA_len, 'data': DATA_extcap}, 'VHT_CAP': DATA_vhtcap, 'INTERWORKING': DATA_inter, 'EXT_TAG': {'ID_1': DATA_1_ext, 'ID_2': DATA_2_ext ...}, 'VENDOR_SPEC': {VENDOR_1:{ 'ID_1': DATA_1_vendor1, 'ID_2': DATA_2_vendor1 ...}, VENDOR_2:{ 'ID_1': DATA_1_vendor2, 'ID_2': DATA_2_vendor2 ...} ...} }

Supported data rates and extended supported rates are represented as arrays of values that encode information about the rates supported by a mobile device. The rest of the IEs data is represented in hexadecimal format. Vendor Specific Tag is structured differently than the other IEs. This field can contain multiple vendor IDs with multiple data IDs with corresponding data. Similarly, the extended tag can contain multiple data IDs with corresponding data.
Missing IE fields in the captured PR are not included in PR_IE_DATA.

When a new MAC address is detected in the current scan time interval, the data from PR is stored in the following structure:

{'MAC': MAC_address, 'SSIDs': [ SSID ], 'PROBE_REQs': [PR_data] },

where PR_data is structured as follows:

{ 'TIME': [ DATA_time ], 'RSSI': [ DATA_rssi ], 'DATA': PR_IE_data }.

This data structure allows to store only 'TOA' and 'RSSI' for all PRs originating from the same MAC address and containing the same 'PR_IE_data'. All SSIDs from the same MAC address are also stored. The data of the newly detected PR is compared with the already stored data of the same MAC in the current scan time interval. If identical PR's IE data from the same MAC address is already stored, only data for the keys 'TIME' and 'RSSI' are appended. If identical PR's IE data from the same MAC address has not yet been received, then the PR_data structure of the new PR for that MAC address is appended to the 'PROBE_REQs' key. The preprocessing procedure is shown in Figure ./Figures/Preprocessing_procedure.png

At the end of each scan time interval, all processed data is sent to the database along with additional metadata about the collected data, such as the serial number of the wireless gateway and the timestamps for the start and end of the scan. For an example of a single PR capture, see the Single_PR_capture_example.json file.

Folder structure

For ease of processing of the data, the dataset is divided into 7 folders, each containing a 24-hour period. Each folder contains four files, each containing samples from that device.

The folders are named after the start and end time (in UTC). For example, the folder 2022-09-22T22-00-00_2022-09-23T22-00-00 contains samples collected between 23th of September 2022 00:00 local time, until 24th of September 2022 00:00 local time.

Files representing their location via mapping: - 1.json -> location 1 - 2.json -> location 2 - 3.json -> location 3 - 4.json -> location 4

Environments description

The measurements were carried out in the city of Catania, in Piazza Università and Piazza del Duomo The gateway devices (rPIs with WiFi dongle) were set up and gathering data before the start time of this dataset. As of September 23, 2022, the devices were placed in their final configuration and personally checked for correctness of installation and data status of the entire data collection system. Devices were connected either to a nearby Ethernet outlet or via WiFi to the access point provided.

Four Raspbery Pi-s were used: - location 1 -> Piazza del Duomo - Chierici building (balcony near Fontana dell’Amenano) - location 2 -> southernmost window in the building of Via Etnea near Piazza del Duomo - location 3 -> nothernmost window in the building of Via Etnea near Piazza Università - location 4 -> first window top the right of the entrance of the University of Catania

Locations were suggested by the authors and adjusted during deployment based on physical constraints (locations of electrical outlets or internet access) Under ideal circumstances, the locations of the devices and their coverage area would cover both squares and the part of Via Etna between them, with a partial overlap of signal detection. The locations of the gateways are shown in Figure ./Figures/catania.png.

Known dataset shortcomings

Due to technical and physical limitations, the dataset contains some identified deficiencies.

PRs are collected and transmitted in 10-second chunks. Due to the limited capabilites of the recording devices, some time (in the range of seconds) may not be accounted for between chunks if the transmission of the previous packet took too long or an unexpected error occurred.

Every 20 minutes the service is restarted on the recording device. This is a workaround for undefined behavior of the USB WiFi dongle, which can no longer respond. For this reason, up to 20 seconds of data will not be recorded in each 20-minute period.

The devices had a scheduled reboot at 4:00 each day which is shown as missing data of up to a few minutes.

 Location 1 - Piazza del Duomo - Chierici

The gateway device (rPi) is located on the second floor balcony and is hardwired to the Ethernet port. This device appears to function stably throughout the data collection period. Its location is constant and is not disturbed, dataset seems to have complete coverage.

 Location 2 - Via Etnea - Piazza del Duomo

The device is located inside the building. During working hours (approximately 9:00-17:00), the device was placed on the windowsill. However, the movement of the device cannot be confirmed. As the device was moved back and forth, power outages and internet connection issues occurred. The last three days in the record contain no PRs from this location.

 Location 3 - Via Etnea - Piazza Università

Similar to Location 2, the device is placed on the windowsill and moved around by people working in the building. Similar behavior is also observed, e.g., it is placed on the windowsill and moved inside a thick wall when no people are present. This device appears to have been collecting data throughout the whole dataset period.

 Location 4 - Piazza Università

This location is wirelessly connected to the access point. The device was placed statically on a windowsill overlooking the square. Due to physical limitations, the device had lost power several times during the deployment. The internet connection was also interrupted sporadically.

Recognitions

The data was collected within the scope of Resiloc project with the help of City of Catania and project partners.

Context

From the beginning of 2020 to April 8th (the day Wuhan reopened), this dataset summarizes the social media hotspots and what people focused in the mainland of China, as well as the epidemic development trend during this period. The dataset containing four .csv files covers most social media platforms in the mainland: Sina Weibo, TikTok, Toutiao and Douban.

Sina Weibo

a platform based on fostering user relationships to share, disseminate and receive information. Through either the website or the mobile app, users can upload pictures and videos publicly for instant sharing, with other users being able to comment with text, pictures and videos, or use a multimedia instant messaging service. The company initially invited a large number of celebrities to join the platform at the beginning, and has since invited many media personalities, government departments, businesses and non-governmental organizations to open accounts as well for the purpose of publishing and communicating information. To avoid the impersonation of celebrities, Sina Weibo uses verification symbols; celebrity accounts have an orange letter "V" and organizations' accounts have a blue letter "V". Sina Weibo has more than 500 million registered users;[12] out of these, 313 million are monthly active users, 85% use the Weibo mobile app, 70% are college-aged, 50.10% are male and 49.90% are female. There are over 100 million messages posted by users each day. With 90 million followers, actress Xie Na holds the record for the most followers on the platform. Despite fierce competition among Chinese social media platforms, Sina Weibo has proven to be the most popular; part of this success may be attributable to the wider use of mobile technologies in China.[https://en.wikipedia.org/wiki/Sina_Weibo]

Douyin

Douyin (English: TikTok), referred to as TikTok, is a short-video social application on mobile phones. Users can record 15-second short videos, which can easily complete mouth-to-mouth (to mouth), and built-in special effects The user can leave a message to the video. Since September 2016, Toutiao has been launched online and is positioned as a short music video community suitable for Chinese young people. The application is vertical music UGC short videos, and the number of users has grown rapidly since 2017. In June 2018, Douyin reached 500 million monthly active users worldwide and 150 million daily active users in China. [https://zh.wikipedia.org/wiki/%E6%8A%96%E9%9F%B3]

Toutiao

Toutiao or Jinri Toutiao is a Chinese news and information content platform, a core product of the Beijing-based company ByteDance. By analyzing the features of content, users and users’ interaction with content, the company's algorithm models generate a tailored feed list of content for each user. Toutiao is one of China's largest mobile platforms of content creation, aggregation and distribution underpinned by machine learning techniques, with 120 million daily active users as of September 2017. [https://en.wikipedia.org/wiki/Toutiao]

Douban

Douban.com (Chinese: 豆瓣; pinyin: Dòubàn), launched on March 6, 2005, is a Chinese social networking service website that allows registered users to record information and create content related to film, books, music, recent events, and activities in Chinese cities. It could be seen as one of the most influential web 2.0 websites in China. Douban also owns an internet radio station, which ranks No.1 in the iOS App Store in 2012. Douban was formerly open to both registered and unregistered users. For registered users, the site recommends potentially interesting books, movies, and music to them in addition to serving as a social network website such as WeChat, Weibo and record keeper; for unregistered users, the site is a place to find ratings and reviews of media. Douban has about 200 million registered users as of 2013. The site serves pan-Chinese users, and its contents are in Chinese. It covers works and media in Chinese and in foreign languages. Some Chinese authors and critics register their official personal pages on the site. [https://en.wikipedia.org/wiki/Douban]

Content

Weibo realTimeHotSearchList can be regarded as a platform for gathering celebrity gossip, social life and major news. In this document, I collect the top 50 topics of the hot search list every 12 hours during the day, so there are 100 hot topics each day. These topics are converted into English by Google translation, although the translation effect is not ideal due to sentence segmentation and language background deviation. In this document, I created a new column ['Coron-Related ( 1 yes, 0 not ) '] to mark topics related to the new crown, if relevant, it is marked as 1, if not then marked empty or 0. The google translation is extremely inaccurate (so maybe google the Chinese title to confirm is the best bet...

NYC Wi-Fi Hotspot Locations Wi-Fi Providers: CityBridge, LLC (Free Beta): LinkNYC 1 gigabyte (GB), Free Wi-Fi Internet Kiosks Spot On Networks (Free) NYC HOUSING AUTHORITY (NYCHA) Properties Fiberless (Free): Wi-Fi access on Governors Island Free - up to 5 Mbps for users as the part of Governors Island Trust Governors Island Connectivity Challenge AT&T (Free): Wi-Fi access is free for all users at all times. Partners: In several parks, the NYC partner organizations provide publicly accessible Wi-Fi. Visit these parks to learn more information about their Wi-Fi service and how to connect. Cable (Limited-Free): In NYC Parks provided by NYC DoITT Cable television franchisees. ALTICEUSA previously known as “Cablevision” and SPECTRUM previously known as “Time Warner Cable” (Limited Free) Connect for 3 free 10 minute sessions every 30 days or purchase a 99 cent day pass through midnight. Wi-Fi service is free at all times to Cablevision’s Optimum Online and Time Warner Cable broadband subscribers. Wi-Fi Provider: Chelsea Wi-Fi (Free) Wi-Fi access is free for all users at all times. Chelsea Improvement Company has partnered with Google to provide Wi-Fi a free wireless Internet zone, a broadband region bounded by West 19th Street, Gansevoort Street, Eighth Avenue, and the High Line Park. Wi-Fi Provider: Downtown Brooklyn Wi-Fi (Free) The Downtown Brooklyn Partnership - the New York City Economic Development Corporation to provide Wi-Fi to the area bordered by Schermerhorn Street, Cadman Plaza West, Flatbush Avenue, and Tillary Street, along with select public spaces in the NYCHA Ingersoll and Whitman Houses. Wi-Fi Provider: Manhattan Downtown Alliance Wi-Fi (Free) Lower Manhattan Several public spaces all along Water Street, Front Street and the East River Esplanade south of Fulton Street and in several other locations throughout Lower Manhattan. Wi-Fi Provider: Harlem Wi-Fi (Free) The network will extend 95 city blocks, from 110th to 138th Streets between Frederick Douglass Boulevard and Madison Avenue is the free outdoor public wireless network. Wi-Fi Provider: Transit Wireless (Free) Wi-Fi Services in the New York City subway system is available in certain underground stations. For more information visit http://www.transitwireless.com/stations/. Wi-Fi Provider: Public Pay Telephone Franchisees (Free) Using existing payphone infrastructure, the City of New York has teamed up with private partners to provide free Wi-Fi service at public payphone kiosks across the five boroughs at no cost to taxpayers. Wi-Fi Provider: New York Public Library Using Wireless Internet Access (Wi-Fi): All Library locations offer free wireless access (Wi-Fi) in public areas at all times the libraries are open. Connecting to the Library's Wireless Network •You must have a computer or other device equipped with an 802.11b-compatible wireless card. •Using your computer's network utilities, look for the wireless network named "NYPL." •The "NYPL" wireless network does not require a password to connect. Limitations and Disclaimers Regarding Wireless Access •The Library's wireless network is not secure. Information sent from or to your laptop can be captured by anyone else with a wireless device and the appropriate software, within three hundred feet. •Library staff is not able to provide technical assistance and no guarantee can be provided that you will be able to make a wireless connection. •The Library assumes no responsibility for the safety of equipment or for laptop configurations, security, or data files resulting from connection to the Library's network

Distributes NIST estimate of official U.S. time over the Internet in real time, using Network Time Protocol (NTP) and other time data formats to automatically synchronize clocks in computers and network devices to official U.S. time as realized by NIST several billions of times per day. This official U.S. time is the NIST estimate of Coordinated Universal Time (UTC), and called UTC(NIST). The accuracy of UTC(NIST) as distributed through the Internet Time Service (ITS) is on the order of 0.001 seconds (one millisecond), although accuracy can vary depending on network conditions and other parameters.

Note that unlike most traditional datasets, time is intrinsically a transient, ever-changing quantity. As soon as UTC(NIST) is transmitted to a client, that particular value of UTC(NIST) no longer reflects the current time, which is constantly changing. There is thus no static storage of any time data, apart from internal diagnostic information not released to the public which ensures that UTC(NIST) as disseminated through the Internet Time Service (ITS) is commensurate with the official UTC(NIST) realization within the uncertainties of the system.

The vast majority of UTC(NIST) information distributed through ITS is provided freely, anonymously and automatically to the public. Any IP address can request UTC(NIST) through the ITS and the information is automatically and anonymously provided at no cost to the user. Full documentation of the ITS including all the source code is available to the public through the web site http://www.nist.gov/pml/div688/.

NIST provides an authenticated version of ITS to a limited number of users (approximately 500 users near the end of calendar year 2015) who for various reasons want to ensure they are receiving UTC(NIST) without spoofing or interference with the information. This service uses public key encryption for the set of registered users to provide authenticated UTC(NIST).

The 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 ninth 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 Australia & Oceania and Asia.

Context

The newspaper publications on the Internet increases every day. There are many news agencies, newspapers and magazines with digital publications on the big network. Published documents made available to users who, in turn, use search engines to find them. To deliver the closest searched documents, these documents must be previously indexed and classified. With the huge volume of documents published every day, many researches have been carried out in order to find a way of dealing with the automatic document classification.

Content

The "Tribuna" database is of journalistic origin with its digital publication, a factor that may be important for professionals of the area, also serving to understand other similar datasets. In order to carry out the experiment, we adopted the "A Tribuna" database, whose main characteristics presented previously, show that the collection is a good source of research, since it is already classified by specialists and has 21 classes that can be Displayed in the table below.

Acknowledgements

My thanks to the company "A Tribuna" that gave all these text files for experiment at the Federal University of Espírito Santo. To the High Desermpenho Computation Laboratory (LCAD) for all the help in the experiments. Thanks also to Prof. PhD Oliveira, Elias for all the knowledge shared.

Inspiration

There are two issues involving this dataset:

What is the best algorithm for sorting these documents?

What are the elements that describe each of the 21 classes in the collection?

The Oxford Internet Survey, 2013 (OxIS 2013) is a representative survey of British internet use in 2013. Data were collected via in-home interviews with respondents. It includes internet users, ex-users and non-users. The dataset contains almost 800 variables measuring internet activities, attitudes and effects. This wave included an oversample of people living in rural areas.

Further information about the OxIS, including publications, is available from the Oxford Internet Surveys webpages.

Users should note the data are only available in Stata format.

This study is Open Access. It is freely available to download and does not require UK Data Service registration.

Abstract copyright UK Data Service and data collection copyright owner.

The Oxford Internet Surveys (OxIS) is the longest-running academic survey of internet use in Britain, describing how internet use has evolved from 2003 to the present day. Run by the Oxford Internet Institute, a Social Sciences department at the University of Oxford, this survey provides unrivalled data, rigorous analysis and policy-relevant insights into key aspects of life online.

OxIS is a multi-stage national probability sample of 2,000 people in Britain, enabling researchers to project estimates to the nation as a whole. Undertaken every two years since 2003, it surveys users, non-users, and ex-users, covering internet and ICT access and use, attitudes to technology, and supporting demographic and geographic information.

The Oxford Internet Survey, 2011 (OxIS 2011) is a representative survey of British internet use in 2011. Data were collected via in-home interviews with respondents and includes both internet users, non-users, and ex-users. The dataset contains over 700 variables measuring internet activities, attitudes, and effects.

Further information about the OxIS, including publications, is available from the Oxford Internet Surveys webpages.

Users should note the data are only available in Stata SE format.

This study is Open Access. It is freely available to download and does not require UK Data Service registration.

Main Topics:

The data include a wide variety of items measuring issues related to internet use, including:

• internet activity
• social media use
• privacy
• mobile phone use
• trust
• internet search
• political activity on the internet.

Context

Stack Overflow is the largest online community for programmers to learn, share their knowledge, and advance their careers.

Content

Updated on a quarterly basis, this BigQuery dataset includes an archive of Stack Overflow content, including posts, votes, tags, and badges. This dataset is updated to mirror the Stack Overflow content on the Internet Archive, and is also available through the Stack Exchange Data Explorer.

Fork this kernel to get started with this dataset.

Acknowledgements

Dataset Source: https://archive.org/download/stackexchange

https://bigquery.cloud.google.com/dataset/bigquery-public-data:stackoverflow

https://cloud.google.com/bigquery/public-data/stackoverflow

Banner Photo by Caspar Rubin from Unplash.

Inspiration

What is the percentage of questions that have been answered over the years?

What is the reputation and badge count of users across different tenures on StackOverflow?

What are 10 of the “easier” gold badges to earn?

Which day of the week has most questions answered within an hour?

The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent 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).Find more key insights for the population share with mobile internet access in countries like Caribbean and Europe.

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A full explanation of the problem or error message you are getting

Being ready implies that the support crew can help you right away without having to call you back several times.

First, you need go to Bitdefender Central. When you think, "How do I reach 'Bitdefender Customer Service'?" First, you need to go to Bitdefender Central. This online dashboard lets you keep track of your account, installations, devices, and subscriptions. You can also use customer assistance options like live chat, sending tickets, and articles that help you fix difficulties.

You may get to Bitdefender Central by signing into your account on the Bitdefender website. To get to the "Support" area, which is normally near the bottom of the dashboard, click on it. Here you may discover a number of useful articles, video lectures, and ways to get in touch with us.

Chat Support: Talk to a Bitdefender employee right away for help One of the fastest and easiest ways to reach Bitdefender customer service is through live chat. You can get this tool from Bitdefender Central and talk to a live person in real time. The chat service is there to assist you fix problems right away, whether they have to do with your account or technology.

To start a chat session, click the "Contact Support" or "Chat with an Expert" button. Once you get in touch, explain your situation in detail and follow the support person's instructions. This is the simplest way to deal with issues that need to be repaired fast but aren't too hard.

Email Support: For Help That Is Thorough and Well-Documented Email support is another useful option if you need to send in papers or give detailed explanations. On Bitdefender's Central platform, people can make a support ticket. This choice is appropriate for hard situations like disputed charges, license transfers, or technical problems that keep coming up and need more support.

To put in a support ticket, go to the Bitdefender Central customer service page, fill out the form, explain your problem, and attach any files that are important. If your problem is simple, a representative will usually come back to you within a few hours to a day.

Phone Support: Get in touch with a Bitdefender Agent Sometimes, the best and most reassuring thing to do is to call customer service right away. In some places, Bitdefender offers free phone support, which enables users clearly explain their concerns and get speedy solutions.

You can find the relevant phone number for your country on the Bitdefender Contact page. The wait periods may be greater or shorter depending on how busy it is, but the agents are ready to answer any question, from minor problems to more complicated security issues.

Websites and forums for the community If you want to fix problems on your own or learn more before talking to a professional, the Bitdefender Community Forum is a fantastic place to go. This platform lets users and official moderators speak about items and give advice, fixes, and information on software.

The Knowledge Base section is another wonderful way to get in-depth information, answers to common questions, and step-by-step guides. A lot of people get answers here without having to call customer service.

Help with Bitdefender for Business Users You might need more specific advice if your firm uses Bitdefender GravityZone or other corporate solutions. Business users can access dedicated enterprise help through the GravityZone portal. Enterprise users can report issues, start conversations, and seek for more help that is tailored to their security and infrastructure needs.

Most business accounts come with account managers or technical support teams who can aid with deployment, integration, and ways to deal with threats in real time.

How to Fix Common Problems Before Calling Support How to contact "Bitdefender Customer Service" "A Simple Guide" also tells you when you might not need to get in touch with them at all. You can fix a number of common problems on your own with Bitdefender. For example:

Installation problems: Downloading the full offline installer generally cures the problem.

Activation errors happen when the license numbers are inaccurate or the subscription has run out.

Problems with performance can usually be fixed by changing the scan schedule or updating the program.

The "My Subscriptions" option in Bitdefender Central makes it easy to deal with billing problems.

Using these tools can save you time and cut down on the number of times you have to call customer service.

What Remote Help Does for Tech Issues Bitdefender can also aid you with problems that are tougher to fix from a distance. You will need to install a remote access tool so that the technician can take control of your system and fix the problem themselves after you set up a time to chat to a support agent. This is especially useful for those who aren't very good with technology or for firms that have multiple levels of protection.

Remote help makes sure that problems are handled in a competent way and gives you peace of mind that your digital security is still safe.

How to Keep Bitdefender Safe and Up to Date Doing regular maintenance is one of the easiest ways to cut down on the need for customer service. You need to update your Bitdefender program on a regular basis to acquire the latest security updates, malware definitions, and functionality upgrades. To avoid compatibility issues, make sure that your operating system and any third-party software you use are also up to date.

Regular scans, avoiding suspicious websites, and checking the Bitdefender dashboard for alerts will help keep your system safe and minimize the chances that you'll require support right away.

What Bitdefender Mobile App Support can do You can also get support from the Bitdefender app on your Android or iOS device. The mobile interface lets you manage your devices, renew your membership, and even talk to customer care directly from your phone. This can be quite helpful for folks who need support while they're on the go or who are experiencing trouble with their phone, such setting up a VPN or parental controls.

Keeping consumer data and conversation private Bitdefender keeps its clients' privacy very high when they talk to them. There are strict laws about privacy and data protection for all kinds of contact, such as phone calls, emails, chats, and remote help. When you need to get in touch with customer service, always utilize real means. Don't give out personal information unless the help process requires you to.

Final Thoughts on How to Contact Bitdefender Customer Service Bitdefender's customer service is designed to help you with any issue, whether it's a technical problem, a query about a payment, or just a desire for guidance, swiftly, clearly, and professionally. Being able to contact someone, have the proper information ready, and choosing the best route to obtain help can make a great difference in how you feel about the whole thing.

This dataset includes information from broadband users of a telecom operator located in Brazil.

It includes modem parameters extracted from the operator's Network Management System (NMS) and customer complaint information extracted from the operators' CRM. The modem is an Optical Network Terminal (ONT), located in customer premises, responsible for providing Wi-Fi for the customer, and is the terminal for the optical fiber in a Gigabit Passive Optical Network (GPON)Collection Date: January/23 to June/23

The modem data was collected for six (6) months for a set of specific customers. At the end of the period, data from this set of customers were collected using the Customer Relationship Management (CRM) system. If the customer complained during that period, we filtered the modem parameters on the day of the last complaint. If the customer has not complained within the period, we use the parameters from the last parameter collection from its modem.

The file contains raw data in Comma-Separated Values (CSV) format using UTF-8 encoding and has a set of different parameters.

"Customer ID" - A unique ID for the customer in the dataset. The customer's personal information was anonymized."Latency" - Value of the latency the user is experiencing. Latency is the time it takes for data to get from one network point to another."Jitter" - Value of the jitter (variation in latency) the user is experiencing."Packet Loss" - The percentage (%) of packets lost during the transmission"Channel2_quality" - The Quality of the customer's 2.4GHz channel, rated on a scale of 1 to 5 by the modem"Channel5_quality" - The Quality of the customer's 5GHz channel, rated on a scale of 1 to 5 by the modem"N distant devices" - The Number of devices far from the modem (more than 10 m)"CRM_Complaint?" - Indicates whether the user complains (value = 1) about its broadband experience or not (value = 0).