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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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TwitterDaily utilization metrics for data.lacity.org and geohub.lacity.org. Updated monthly
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The dataset contains information about web requests to a single website. It's a time series dataset, which means it tracks data over time, making it great for machine learning analysis.
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TwitterFrom March to August 2025, March was the month that had the most website traffic to ebay.com. The consumer-to-consumer (C2C) e-commerce website reached a total of over ****million visits in that month, with the majority being from mobile devices. Popularity on multiple fronts Although eBay is popular on mobile devices, monthly downloads of its mobile app have been trending in the wrong direction since peaking in June 2021. Still, in April 2024, ebay.com was the second most popular e-commerce and shopping website worldwide, accounting for more than ***** percent of visits to sites in this category. Slow and steady In the second quarter of 2023, eBay’s gross merchandise volume (GMV) amounted to nearly **** billion U.S. dollars. That is no small number, but is only a small increase compared to the lowest GMV recorded by the company since the first quarter of 2020 - **** billion U.S. dollars in the third quarter of 2022. Since then, the company's GMV has been on a slow increase. However, while GMV figures begin to achieve steady growth once again, the e-commerce platform's once *** million active buyers have plateaued at *** million.
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TwitterBetween January and March 2021, the majority of traffic to YouTube's website was organic traffic, with only **** million paid visits on average per month. Direct traffic to YouTube.com averaged *** billion visits per month, up by ** percent from the corresponding period in the previous year. Users who landed on YouTube's website after looking for keywords on a search engine amassed *** million monthly visits on average, while traffic from links placed on other websites had a volume of close to *** million visits.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Explore our detailed website traffic dataset featuring key metrics like page views, session duration, bounce rate, traffic source, and conversion rates.
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TwitterGalaxus recorded over ** million visitors to its Swiss, German, and Austrian domains in March 2025. This was a traffic increase of over *** million visits from the month before. The Swiss e-tailer's Swiss domain, galaxus.ch, received the large majority of traffic in 2025.
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TwitterTraffic analytics, rankings, and competitive metrics for walmart.com as of October 2025
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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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TwitterAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This dataset originates from DataCamp. Many users have reposted copies of the CSV on Kaggle, but most of those uploads omit the original instructions, business context, and problem framing. In this upload, I’ve included that missing context in the About Dataset so the reader of my notebook or any other notebook can fully understand how the data was intended to be used and the intended problem framing.
Note: I have also uploaded a visualization of the workflow I personally took to tackle this problem, but it is not part of the dataset itself.
Additionally, I created a PowerPoint presentation based on my work in the notebook, which you can download from here:
PPTX Presentation
From: Head of Data Science
Received: Today
Subject: New project from the product team
Hey!
I have a new project for you from the product team. Should be an interesting challenge. You can see the background and request in the email below.
I would like you to perform the analysis and write a short report for me. I want to be able to review your code as well as read your thought process for each step. I also want you to prepare and deliver the presentation for the product team - you are ready for the challenge!
They want us to predict which recipes will be popular 80% of the time and minimize the chance of showing unpopular recipes. I don't think that is realistic in the time we have, but do your best and present whatever you find.
You can find more details about what I expect you to do here. And information on the data here.
I will be on vacation for the next couple of weeks, but I know you can do this without my support. If you need to make any decisions, include them in your work and I will review them when I am back.
Good Luck!
From: Product Manager - Recipe Discovery
To: Head of Data Science
Received: Yesterday
Subject: Can you help us predict popular recipes?
Hi,
We haven't met before but I am responsible for choosing which recipes to display on the homepage each day. I have heard about what the data science team is capable of and I was wondering if you can help me choose which recipes we should display on the home page?
At the moment, I choose my favorite recipe from a selection and display that on the home page. We have noticed that traffic to the rest of the website goes up by as much as 40% if I pick a popular recipe. But I don't know how to decide if a recipe will be popular. More traffic means more subscriptions so this is really important to the company.
Can your team: - Predict which recipes will lead to high traffic? - Correctly predict high traffic recipes 80% of the time?
We need to make a decision on this soon, so I need you to present your results to me by the end of the month. Whatever your results, what do you recommend we do next?
Look forward to seeing your presentation.
Tasty Bytes was founded in 2020 in the midst of the Covid Pandemic. The world wanted inspiration so we decided to provide it. We started life as a search engine for recipes, helping people to find ways to use up the limited supplies they had at home.
Now, over two years on, we are a fully fledged business. For a monthly subscription we will put together a full meal plan to ensure you and your family are getting a healthy, balanced diet whatever your budget. Subscribe to our premium plan and we will also deliver the ingredients to your door.
This is an example of how a recipe may appear on the website, we haven't included all of the steps but you should get an idea of what visitors to the site see.
Tomato Soup
Servings: 4
Time to make: 2 hours
Category: Lunch/Snack
Cost per serving: $
Nutritional Information (per serving) - Calories 123 - Carbohydrate 13g - Sugar 1g - Protein 4g
Ingredients: - Tomatoes - Onion - Carrot - Vegetable Stock
Method: 1. Cut the tomatoes into quarters….
The product manager has tried to make this easier for us and provided data for each recipe, as well as whether there was high traffic when the recipe was featured on the home page.
As you will see, they haven't given us all of the information they have about each recipe.
You can find the data here.
I will let you decide how to process it, just make sure you include all your decisions in your report.
Don't forget to double check the data really does match what they say - it might not.
| Column Name | Details |
|---|---|
| recipe | Numeric, unique identifier of recipe |
| calories | Numeric, number of calories |
| carbohydrate | Numeric, amount of carbohydrates in grams |
| sugar | Numeric, amount of sugar in grams |
| protein | Numeric, amount of prote... |
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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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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
This dataset provides detailed information on website traffic, including page views, session duration, bounce rate, traffic source, time spent on page, previous visits, and conversion rate.
This dataset can be used for various analyses such as:
This dataset was generated for educational purposes and is not from a real website. It serves as a tool for learning data analysis and machine learning techniques.
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TwitterAccording to a report published by DataReportal, as of November 2023, the most visited website in Thailand was Google.com with approximately *** million monthly visits. This was followed by Youtube.com with around *** million monthly visits in that year.
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Twitterhttps://scoop.market.us/privacy-policyhttps://scoop.market.us/privacy-policy
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union".
Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content?
To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic.
In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained.
To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market.
It includes:
Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures
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TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Below you’ll find a month by month breakdown of traffic on the australia.gov.au website along the following lines: Pageviews Visits Pages per visit Average time on page Devices This data is generated …Show full descriptionBelow you’ll find a month by month breakdown of traffic on the australia.gov.au website along the following lines: Pageviews Visits Pages per visit Average time on page Devices This data is generated using Google analytics. Please Note: This is an initial version of the data only. We’re looking forward to hearing your feedback on what other metrics are of interest to you. Please let us know by sending an email to data@digital.gov.au.
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TwitterIn 2024, nih.com was the most-visited healthcare website worldwide, with an average of ************** visits per month. Healthline.com was ranked second with *********** visits, followed by mayoclinic.org with ************** average accesses.
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TwitterWe provide location data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and location insights. We help marketers, agencies, and platforms build precise location audience segments, optimize location targeting, attribute locations, and understand cross-device journeys. Our continuously updated location datasets deliver real-time location insights that power smarter location-based campaigns and future-ready strategies.
Leverage our location data solutions for the following use cases: - Location Data Validation & Model Building - Cultural & Seasonal Campaign Insights - Targeted, Data-Driven Location Advertising - Travel & Location-Based Targeting - Trial & Partnership Transparency
With AdPreference, expect the following key benefits through our partnership: - Augment Location Data Attributes - Enrich CRM - Personalize Location Audiences - Fraud Prevention - Location Audience Curation
Access the largest and most customizable location data segments with AdPreference today. Supercharge your needs with unique and enriched location data not found anywhere else.
For more information, please visit https://www.adpreference.co/
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TwitterWe provide interest data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and interest insights to understand what audiences are consuming online. We help marketers, agencies, and platforms build precise interest segments, optimize interest targeting, attribute locations, and understand cross-device audience journeys. Our continuously updated interest datasets deliver real-time interest insights that power smarter campaigns and future-ready strategies.
Leverage our interest data solutions for the following use cases: - Interest Data Validation & Model Building - Cultural & Seasonal Interest Insights - Targeted, Data-Driven Advertising - Interest & Location-Based Targeting - Trial & Partnership Transparency
With AdPreference, expect the following key benefits through our partnership: - Augment Interest Data Attributes - Enrich CRM - Personalize Interest Audiences - Fraud Prevention - Interest Audience Curation
Access the largest and most customizable interest data segments with AdPreference today. Supercharge your needs with unique and enriched interest data not found anywhere else.
For more information, please visit https://www.adpreference.co/
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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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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.