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TwitterDaily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly
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TwitterThis file contains 5 years of daily time series data for several measures of traffic on a statistical forecasting teaching notes website whose alias is statforecasting.com. The variables have complex seasonality that is keyed to the day of the week and to the academic calendar. The patterns you you see here are similar in principle to what you would see in other daily data with day-of-week and time-of-year effects. Some good exercises are to develop a 1-day-ahead forecasting model, a 7-day ahead forecasting model, and an entire-next-week forecasting model (i.e., next 7 days) for unique visitors.
The variables are daily counts of page loads, unique visitors, first-time visitors, and returning visitors to an academic teaching notes website. There are 2167 rows of data spanning the date range from September 14, 2014, to August 19, 2020. A visit is defined as a stream of hits on one or more pages on the site on a given day by the same user, as identified by IP address. Multiple individuals with a shared IP address (e.g., in a computer lab) are considered as a single user, so real users may be undercounted to some extent. A visit is classified as "unique" if a hit from the same IP address has not come within the last 6 hours. Returning visitors are identified by cookies if those are accepted. All others are classified as first-time visitors, so the count of unique visitors is the sum of the counts of returning and first-time visitors by definition. The data was collected through a traffic monitoring service known as StatCounter.
This file and a number of other sample datasets can also be found on the website of RegressIt, a free Excel add-in for linear and logistic regression which I originally developed for use in the course whose website generated the traffic data given here. If you use Excel to some extent as well as Python or R, you might want to try it out on this dataset.
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TwitterIn March 2024, X's web page Twitter.com had *** billion website visits worldwide, up from *** billion site visits the previous month. Formerly known as Twitter, X is a microblogging and social networking service that allows most of its users to write short posts with a maximum of 280 characters.
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TwitterComprehensive dataset analyzing Walmart.com's daily website traffic, including 16.7 million daily visits, device distribution, geographic patterns, and competitive benchmarking data.
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TwitterIn August 2025, Google.com was the most visited website worldwide, attracting approximately 5.66 billion unique monthly visitors. YouTube.com ranked second, with an estimated 2.98 billion unique visitors. Both platforms also held the top positions globally in terms of total website visits.
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TwitterComprehensive dataset analyzing Amazon's daily website visits, traffic patterns, seasonal trends, and comparative analysis with other ecommerce platforms based on May 2025 data.
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TwitterComprehensive dataset analyzing eBay's daily visitor traffic patterns, geographic distribution, device usage, and competitive positioning based on third-party analytics from Similarweb and Semrush.
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TwitterThis statistic displays the daily average number of unique visitors to the MNM website in Belgium from 2010 to 2018. Following a significant increase in the daily number of people who visited the MNM website in 2017, the MNM websites visitor numbers decreased in 2018. The website had an average of roughly ****** daily visitors in 2017, whereas in 2018 this figure decreased to roughly ****** visitors.
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TwitterIn March 2024, search platform Google.com generated approximately 85.5 billion visits, down from 87 billion platform visits in October 2023. Google is a global search platform and one of the biggest online companies worldwide.
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TwitterUnlock insights with Echo's Activity data, offering views of locations based on visitor behavior. Enhance site selection, urban planning, and real estate with metrics like unique visitors and visits. Our high-quality, global data reveals movement patterns, updated daily and normalized monthly.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset was used in the Kaggle Wikipedia Web Traffic forecasting competition. It contains 145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.
The original dataset contains missing values. They have been simply replaced by zeros.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Annual average daily traffic is the total volume for the year divided by 365 days. The traffic count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Traffic Counting is generally performed by electronic counting instruments moved from location throughout the State in a program of continuous traffic count sampling. The resulting counts are adjusted to an estimate of annual average daily traffic by compensating for seasonal influence, weekly variation and other variables which may be present. Annual ADT is necessary for presenting a statewide picture of traffic flow, evaluating traffic trends, computing accident rates. planning and designing highways and other purposes.Traffic Census Program Page
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TwitterFor the period 2-4 November 2020, visits were at 19.3% of the daily average in November over the three previous years.
Museums and galleries closed on 5 November 2020 in compliance with national lockdown measures.
Eight of the DCMS-sponsored museums and galleries were open or partially open to visitors and able to supply data during the week commencing 2 November.
These were the National Museums Liverpool, the Wallace Collection, Imperial War Museums (with the exception of the HMS Belfast), the Science Museum Group, the Natural History Museum, the National Gallery, the V&A and the British Museum. Some venues are unable to supply data on a weekly basis, and others are occasionally unable to supply data in time for publication.
During the period covered by these statistics, some museums were not open every day. The average is adjusted for days that venues are closed, but not for shortened opening hours.
The level of footfall reported reflects a number of factors. These include:
Visitor numbers naturally fluctuate from day to day due to many factors, including the weather, day of the week, public holidays, and public transport/parking availability. The time series of weekly total visitors will give a better indication of the trend in visitor numbers.
Estimates only include venues as they reopened, with restrictions on visitor numbers; visitor counts fluctuated as those venues opened more fully, and as others began to open.
As museums began to reopen after lockdown, a number did so incrementally; for instance by opening a limited number of sites - or parts of a site - and/or by reducing opening hours or days.
This statistical series is paused during lockdown.
These experimental statistics have been developed by the DCMS statistics team, in partnership with the DCMS sponsored museums, to help monitor the effect of lifting the COVID-19 restrictions. They will be developed throughout the re-opening period in line with user feedback. To provide comments or suggestions for improvement, please email evidence@dcms.gov.uk.
Data collection methods vary between institutions, and each uses a method appropriate to its situation. All data is collected according to the .
Figures may be subject to revision. Any amendments will be published on this website in accordance with the Department’s revision statement, available in our https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/865444/Compliance_Statement_-_February_2020.pdf">compliance statement.
This release is published in accordance with the Code of Practice for Official Statistics (2009) produced by the http://www.statisticsauthority.gov.uk/">UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The contains a list of ministers and officials who have received privileged early access to this release of Museum and Gallery monthly visit figures. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
Responsible statistician: Rachel Moyce
For any queries please contact evidence@dcms.gov.uk.
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TwitterIn December 2024, social video platform YouTube recorded approximately ** billion visits on ****** and over ** billion visits from users on ******* devices. The web visitors traffic count from *********************** appeared consistently higher than the ******* visit count in the examined months.
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TwitterTop 25 Daily Page Views for the main website of Los Angeles
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TwitterVisitors Statistics Open Data MFSR - Website traffic statistics by country (daily)
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Twitterhttps://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/
daily-gadget.net is ranked #1469 in JP with 2.37M Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!
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TwitterThis dataset is historical. For recent data, we recommend using https://chicagotraffictracker.com. -- Average Daily Traffic (ADT) counts are analogous to a census count of vehicles on city streets. These counts provide a close approximation to the actual number of vehicles passing through a given location on an average weekday. Since it is not possible to count every vehicle on every city street, sample counts are taken along larger streets to get an estimate of traffic on half-mile or one-mile street segments. ADT counts are used by city planners, transportation engineers, real-estate developers, marketers and many others for myriad planning and operational purposes. Data Owner: Transportation. Time Period: 2006. Frequency: A citywide count is taken approximately every 10 years. A limited number of traffic counts will be taken and added to the list periodically. Related Applications: Traffic Information Interactive Map (http://webapps.cityofchicago.org/traffic/).
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Twitterhttps://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/
e-daily.gr is ranked #1966 in GR with 250.89K Traffic. Categories: Newspapers. Learn more about website traffic, market share, and more!
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Twitterhttps://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/
daily-cleaners.com is ranked #58857 in JP with 34.19K Traffic. Categories: Retail. Learn more about website traffic, market share, and more!
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TwitterDaily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly