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Single Website Traffic Volume
Data Science and Analytics
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About
This time series data provides records detailing the total number of web requests directed to a single website. It tracks data changes over time, making it suitable for analysis, particularly in fields requiring predictive modelling and machine learning.
Columns
The dataset contains two principal columns:
- Timestamp: This field records the specific date and time of the observations, categorized as a DateTime Count.
- TrafficCount: This field represents the total volume of web requests received during the corresponding timestamp. The traffic count ranges from a minimum of 22 to a maximum of 71.9k, with a mean of 8.59k.
Distribution
The data is delivered in a CSV file format, named
web_traffic.csv, which has a file size of 80.9 kB. It features 2,793 valid records, presented in a tabular structure with two fields. Updates are expected on a monthly basis.Usage
Ideal applications include forecasting future internet traffic demands, analyzing short-term usage patterns, and the development of algorithms for detecting unusual or anomalous activity in web request volume. It is highly valuable for training machine learning models focused on time-based prediction.
Coverage
The temporal scope of the records spans from the 20th of January 2020 to the 17th of May 2020. This data focuses exclusively on web requests directed toward a single, specific website.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For building and testing time series forecasting models.
- Machine Learning Developers: Utilizing the temporal structure to create predictive systems.
- Academic Researchers: Analyzing short-period internet traffic characteristics and volumes.
Dataset Name Suggestions
- Single Website Traffic Volume
- Web Request Time Series
- Internet Usage Daily Counts
- Web Traffic Dataset
Attributes
Original Data Source: Single Website Traffic Volume
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