Dataset Overview

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.

Dataset Description

• Page Views: The number of pages viewed during a session.
• Session Duration: The total duration of the session in minutes.
• Bounce Rate: The percentage of visitors who navigate away from the site after viewing only one page.
• Traffic Source: The origin of the traffic (e.g., Organic, Social, Paid).
• Time on Page: The amount of time spent on the specific page.
• Previous Visits: The number of previous visits by the same visitor.
• Conversion Rate: The percentage of visitors who completed a desired action (e.g., making a purchase).

Data Summary

• Total Records: 2000
• Total Features: 7

Key Features

1. Page Views: This feature indicates the engagement level of the visitors by showing how many pages they visit during their session.
2. Session Duration: This feature measures the length of time a visitor stays on the website, which can indicate the quality of the content.
3. Bounce Rate: A critical metric for understanding user behavior. A high bounce rate may indicate that visitors are not finding what they are looking for.
4. Traffic Source: Understanding where your traffic comes from can help in optimizing marketing strategies.
5. Time on Page: This helps in analyzing which pages are retaining visitors' attention the most.
6. Previous Visits: This can be used to analyze the loyalty of visitors and the effectiveness of retention strategies.
7. Conversion Rate: The ultimate metric for measuring the effectiveness of the website in achieving its goals.

Usage

This dataset can be used for various analyses such as:

• Identifying key drivers of engagement and conversion.
• Analyzing the effectiveness of different traffic sources.
• Understanding user behavior patterns and optimizing the website accordingly.
• Improving marketing strategies based on traffic source performance.
• Enhancing user experience by analyzing time spent on different pages.

Acknowledgments

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.

Web traffic statistics for the several City-Parish websites, brla.gov, city.brla.gov, Red Stick Ready, GIS, Open Data etc. Information provided by Google Analytics.

As of December 2025, ***** percent of web traffic in the United States originated from desktop computers. Meanwhile, mobile phones accounted for nearly ** percent of total traffic.

In the second quarter of 2025, mobile devices (excluding tablets) accounted for 62.54 percent of global website traffic. Since consistently maintaining a share of around 50 percent beginning in 2017, mobile usage surpassed this threshold in 2020 and has demonstrated steady growth in its dominance of global web access. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

This dataset provides detailed insights into website traffic metrics and user engagement statistics, collected from SimilarWeb. The data includes information on various websites, such as rank, category, average visit duration, pages per visit, and bounce rate. This data aims to facilitate an understanding of online behavior and performance trends across different sectors, making it a valuable resource for researchers, marketers, and data analysts. The dataset is ideal for exploring patterns in web traffic and user interaction and conducting comparative analyses across various website categories.

Important Warning: Running this code within Kaggle may result in a ban, as scraping activities are prohibited on the platform. There is no guarantee that any ban will be lifted, as Kaggle staff may interpret scraping as a denial-of-service attack. Although I have implemented measures to reduce server load, such as adding sleep intervals, it is advisable to run this code locally to ensure compliance with Kaggle's policies.

As of the second quarter of 2025, ***** percent of web traffic in the United States originated from mobile devices, down from over ** percent in the last quarter of 2024. In comparison, over ********** of web traffic worldwide was generated via mobile in the last examined period.

It’s not really surprising to know that most of the internet traffic comes from mobile devices. Yet, I wouldn’t have believed this 10 or 15 years back. Sure, mobile devices were becoming popular, but the adoption rates had a sudden jump in the past decade. A quick analysis of statistics...

Context

The data presented here was obtained in a Kali Machine from University of Cincinnati,Cincinnati,OHIO by carrying out packet captures for 1 hour during the evening on Oct 9th,2023 using Wireshark.This dataset consists of 394137 instances were obtained and stored in a CSV (Comma Separated Values) file.This large dataset could be used utilised for different machine learning applications for instance classification of Network traffic,Network performance monitoring,Network Security Management , Network Traffic Management ,network intrusion detection and anomaly detection.

The dataset can be used for a variety of machine learning tasks, such as network intrusion detection, traffic classification, and anomaly detection.

Content :

This network traffic dataset consists of 7 features.Each instance contains the information of source and destination IP addresses, The majority of the properties are numeric in nature, however there are also nominal and date kinds due to the Timestamp.

The network traffic flow statistics (No. Time Source Destination Protocol Length Info) were obtained using Wireshark (https://www.wireshark.org/).

Dataset Columns:

No : Number of Instance. Timestamp : Timestamp of instance of network traffic Source IP: IP address of Source Destination IP: IP address of Destination Portocol: Protocol used by the instance Length: Length of Instance Info: Information of Traffic Instance

Acknowledgements :

I would like thank University of Cincinnati for giving the infrastructure for generation of network traffic data set.

Ravikumar Gattu , Susmitha Choppadandi

Inspiration : This dataset goes beyond the majority of network traffic classification datasets, which only identify the type of application (WWW, DNS, ICMP,ARP,RARP) that an IP flow contains. Instead, it generates machine learning models that can identify specific applications (like Tiktok,Wikipedia,Instagram,Youtube,Websites,Blogs etc.) from IP flow statistics (there are currently 25 applications in total).

**Dataset License: ** CC0: Public Domain

Dataset Usages : This dataset can be used for different machine learning applications in the field of cybersecurity such as classification of Network traffic,Network performance monitoring,Network Security Management , Network Traffic Management ,network intrusion detection and anomaly detection.

ML techniques benefits from this Dataset :

This dataset is highly useful because it consists of 394137 instances of network traffic data obtained by using the 25 applications on a public,private and Enterprise networks.Also,the dataset consists of very important features that can be used for most of the applications of Machine learning in cybersecurity.Here are few of the potential machine learning applications that could be benefited from this dataset are :

1. Network Performance Monitoring : This large network traffic data set can be utilised for analysing the network traffic to identifying the network patterns in the network .This help in designing the network security algorithms for minimise the network probelms.

2. Anamoly Detection : Large network traffic dataset can be utilised training the machine learning models for finding the irregularitues in the traffic which could help identify the cyber attacks.

3.Network Intrusion Detection : This large dataset could be utilised for machine algorithms training and designing the models for detection of the traffic issues,Malicious traffic network attacks and DOS attacks as well.

stats.com is ranked #150111 in US with 86.23K Traffic. Categories: Sports. Learn more about website traffic, market share, and more!

In November 2025, mobile devices excluding tablets accounted for over ***** percent of web page views worldwide. Meanwhile, over ***** percent of webpage views in Africa were generated via mobile. In contrast, just over half of web traffic in North America still took place via desktop connections, with mobile only accounting for ***** percent of total web traffic. While regional infrastructure remains an important factor in broadband vs. mobile coverage, most of the world has had their eyes on the recent 5G rollout across the globe, spearheaded by tech leaders China and the United States. The number of mobile 5G subscriptions worldwide is forecast to reach more than ***** billion by 2028. Social media: room for growth in Africa and southern Asia Overall, more than ** percent of the world’s mobile internet subscribers are also active on social media. A fast-growing market, with newcomers such as TikTok taking the world by storm, marketers have been cashing in on social media’s reach. Overall, social media penetration is highest in Europe and America, while in Africa and southern Asia, there is still room for growth. As of 2021, Facebook and Google-owned YouTube are the most popular social media platforms worldwide. Facebook and Instagram are most effective With nearly ***** billion users, it is no wonder that Facebook remains the social media avenue of choice for the majority of marketers across the world. Instagram, meanwhile, was the second most popular outlet. Both platforms are low-cost and support short-form content, known for its universal consumer appeal and answering to the most important benefits of using these kinds of platforms for business and advertising purposes.

stats.tel is ranked #18956 in BD with 32.1K Traffic. Categories: . Learn more about website traffic, market share, and more!

EdTech Statistics: The EdTech enterprise has been growing at a remarkable evolve in recent years, and by 2023 the market revenue is going to be $142.37 billion approximately. According to current market reviews, the worldwide market is anticipated to reach a cost of $549.6 billion by means of 2032, with a CAGR of 14.2% from 2024 to 2033. North America presently dominates the global educational Tech market, with a sales proportion of 36%, attributed to massive-scale investment through challenge capitalist investments and personal fairness traders. The corporate digital marketplace is expected to develop a valuation of $27.5 billion in 2023 with a CAGR of 10.5% and $44.6 billion by the end of 2028. In this text, we will delve deeper into the Educational Technology statistics for 2023, along with the total range of players inside the industry, country-wise statistics, leading platform facts, and future records. We may even discover the recognition of these platforms and provide some interesting statistics approximately the industry. So, let's dive in and take a better look at the booming Educational Tech enterprise. Key Takeaways (Reference: grandviewresearch.com) As of 2023, the full marketplace worth of Education Technology is looking ahead to be $142.37 billion. The international Educational Tech marketplace is predicted to attain a value of $421 billion by 2032. North America dominates the global market, with a revenue proportion of 36%. In this newsletter, we are able to explore the records for 2023, together with marketplace percentage, utilization information, demographics, and internet site traffic sources. Over the last 5 years, the demand and searches have improved by 232% in this sector.

unique-stats.com is ranked #0 in RW with 15.51K Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

Traffic analytics, rankings, and competitive metrics for stackoverflow.com as of February 2026

dream-stats.com is ranked # in US with 0 Traffic. Categories: Sports. Learn more about website traffic, market share, and more!

supervive-stats.com is ranked #1537630 in US with 1.4K Traffic. Categories: . Learn more about website traffic, market share, and more!

Digital technology and Internet use, website traffic strategies, by North American Industry Classification System (NAICS) and size of enterprise for Canada from 2012 to 2013.

A time-series quantitative dataset designed to track and document the total traffic and visits directed to the official website on a monthly basis throughout the entire year of 2025

In 2022, OnlyFans saw over ** million monthly visits to its website, while communication and community platform Discord saw approximately **** million monthly visits. E-commerce and point-of-sales platform Shopify recorded around **** million visits in traffic on a monthly basis. Subscription company Patreon saw *** million visits monthly, while the NFT marketplace OpenSea recorded *** million visits to its website during the examined period.

Web traffic statistics for the top 2000 most visited pages on nyc.gov by month.