European Users Energy Consumption
Exploring Energy Consumption Trends and Insights across European Users
@kaggle.elahesarlakian_europe_energy_consumption_by_users
Exploring Energy Consumption Trends and Insights across European Users
@kaggle.elahesarlakian_europe_energy_consumption_by_users
The indicator measures the energy end-use in a country excluding all non-energy use of energy carriers (e.g. natural gas used not for combustion but for producing chemicals). “Final energy consumption” only covers the energy consumed by end users, such as industry, transport, households, services and agriculture; it excludes energy consumption of the energy sector itself and losses occurring during transformation and distribution of energy.
The dataset contains following columns:
DATAFLOW: This column indicate the direction or type of data flow, such as imports, exports, production, consumption, etc.
In this case, the value "ESTAT:SDG_07_11 (1.0)" in the DATAFLOW column seems to be a specific code or identifier that represents the type of data flow or category of data within the dataset. Let's break down the components of this value:
1. ESTAT: This part of the value could be an abbreviation or code that indicates the source or organization providing the data. In this case, it might refer to Eurostat, which is the statistical office of the European Union.
2. SDG_07_11: This part of the value could be a reference to a specific Sustainable Development Goal (SDG) related to energy, such as Goal 7 (Affordable and Clean Energy) and Target 7.11, which focuses on increasing the share of renewable energy in the global energy mix.
3. (1.0): This part of the value could be a version number or identifier associated with the specific data flow or dataset. It might indicate a particular version or iteration of the data related to this specific category.
Overall, the value "ESTAT:SDG_07_11 (1.0)" likely represents a specific data flow category related to Sustainable Development Goal 7.11 on renewable energy, possibly sourced from Eurostat. Understanding these identifiers can help you categorize and analyze the data more effectively within the context of energy consumption and sustainable development goals.
LAST UPDATE: This column contains the date when the data was last updated or modified.
freq: This column indicate the frequency of data collection or reporting, such as daily, monthly, quarterly, etc. It provides information on the time intervals at which the data is recorded.
unit: This column specifies the unit of measurement for the data values in the dataset. for example I05 refers to 10^5
geo: This column represents the geographical location or region associated with the data. The values like AL (Albania), AT (Austria), etc., indicate different countries or regions.
TIME_PERIOD: This column contain information about the time period to which the data corresponds, such as years in this case.
OBS_VALUE: This column contains the observed or recorded values related to energy consumption. It represents the actual numerical data points in the dataset.
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