STC Internet Speed Performance & ISP Benchmark Dataset Stock Price Datase

This dataset contains structured internet speed measurement records including ISP names, geographic identifiers, download speed, upload speed, latency, and possibly technology type such as fiber, broadband, or mobile network. The dataset has been processed through a structured exploratory data analysis workflow including duplicate removal, missing value handling, categorical normalization of ISP names, and numeric range validation of speed and latency metrics. Outlier detection was applied to identify unrealistic network performance values. The final dataset is exported in a clean CSV format optimized for telecom performance analytics, regression modeling, and dashboard visualization.

Data Quality

The dataset is organized in a normalized tabular structure with consistent column naming and validated numeric data types. Duplicate test entries have been removed to preserve analytical integrity. Numeric speed and latency values have undergone statistical validation to eliminate unrealistic measurements. Categorical attributes such as ISP names and connection types have been standardized to avoid label inconsistencies. The dataset is analytics-ready and supports regression analysis, ISP benchmarking, and network performance modeling.

Use Cases

This dataset can be used for ISP performance benchmarking, regional internet speed comparison, and digital connectivity research. Telecom analysts can identify performance gaps across regions and operators. Data scientists can build predictive models to forecast network performance trends. Policymakers can assess digital infrastructure quality and broadband penetration patterns. The dataset also supports dashboard development and academic research in digital infrastructure economics.

Limitations

The dataset is community-sourced and may not represent official ISP performance data. Speed measurements depend on user-side testing conditions and may include environmental variability. Geographic coverage may not be uniform across regions. The dataset is intended for analytical and research purposes and should not be used for regulatory enforcement or official ISP ranking decisions.

Methodology

The dataset was prepared using a structured validation and normalization workflow including schema standardization, duplicate removal, numeric range validation of speed and latency values, and categorical normalization of ISP and network identifiers. Statistical anomaly detection was applied to identify unrealistic network performance values. Date or time fields were standardized to maintain chronological consistency. The final dataset was exported in UTF-8 encoded CSV format to ensure compatibility with telecom analytics tools, machine learning libraries, and business intelligence platforms.