Dark Mode
Hourly Italian Gasoline Trends and Metadata
Retail & Consumer Behavior
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Tracking the hourly fluctuations of fuel costs across Italy provides a detailed view of economic shifts and retail pricing strategies throughout the year 2022. By combining a high-volume log of price changes with metadata for tens of thousands of petrol stations, this resource enables the study of how location, service type, and brand influence consumer costs. The records facilitate the analysis of stationary time series, offering a foundation for building predictive models that anticipate market trends in the oil and gas sector.
Columns
- Id: The unique merging key used to connect price records with station metadata.
- isSelf: A binary indicator where 1 signifies a self-service station and 0 indicates full-service.
- Price: The recorded cost of gasoline measured in euros (€).
- Date: The specific timestamp for each hourly price recording.
- Fuel_station_manager: The identity of the operator or manager responsible for the station.
- Petrol_company: The name of the oil company associated with the facility.
- Type: The category of the station, distinguishing between urban street locations (Stradale) and motorway sites (Autostradale).
- Station_name: The specific label or name assigned to the fuel station.
- City: The Italian municipality where the station is situated.
- Latitude: The geographical coordinate representing the north-south position of the station.
- Longitude: The geographical coordinate representing the east-west position of the station.
Distribution
The records are provided in both CSV and Parquet formats to balance accessibility with storage efficiency. The price log contains over 2.5 million rows, while the station metadata covers approximately 22,100 unique locations. The Parquet version offers advanced columnar storage and compression, making it suitable for high-performance querying in big data workflows. This resource maintains a usability score of 10.00 and is intended for annual updates.
Usage
This collection is ideal for conducting time series forecasting to predict future price trends based on historical hourly data. It is well-suited for geospatial analysis to determine how fuel costs vary between major cities like Rome and Milan, or between urban and highway settings. Additionally, researchers can use the binary service flags to model the price gap between self-service and assisted-service options across different petrol brands.
Coverage
The geographic scope includes the entire territory of Italy, capturing data from thousands of cities and varied station types. Temporally, the data focuses on the full calendar year of 2022. The scope includes a wide array of petrol companies, with Agip Eni and Api-Ip representing a significant portion of the documented facilities.
License
CC0: Public Domain
Who Can Use It
Data scientists can leverage the stationary time series to train machine learning and regression models. Economic analysts may utilise the price fluctuations to study inflation and energy market volatility. Furthermore, beginners in data engineering can use the Parquet files to practice managing large-scale datasets with modern Python libraries.
Dataset Name Suggestions
- Italy Gasoline Hourly Price Tracker (2022)
- Italian Petrol Station Analytics and Pricing Log
- National Fuel Cost and Geospatial Station Registry
- Hourly Italian Gasoline Trends and Metadata
- Italy Motorway and Urban Fuel Price Archive
Attributes
Original Data Source: Hourly Italian Gasoline Trends and Metadata
QUALITYLoading...
Free
Download Dataset in ZIP Format
Recommended Datasets
Loading recommendations...