license:apache-2.0 size_categories:10K<n<100K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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license: apache-2.0
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The data has been synthetically generated, calculated based on weightings from various studies and sites that currently compute the dependent variable, carbon emissions, attempting to maintain values close to reality. This dataset has been used in our Bootcamp final project: https://carbonfootprintcalculator.streamlit.app/

Features:

- 'Body Type': Body type.
-  'Sex': Gender.
- ' Diet': Diet.
- 'How Often Shower': Frequency of showering
- 'Heating Energy Source': Residential heating energy
- 'Transport': Transportation preference.
- 'Vehicle Type': Vehicle fuel type.
- 'Social Activity': Frequency of participating in social activities.
- 'Monthly Grocery Bill': Monthly amount spent on groceries, in dollars.
- 'Frequency of Traveling by Air': Frequency of using aircraft in the last month.
- 'Vehicle Monthly Distance Km': The kilometers traveled by vehicle in the last month.
- 'Waste Bag Size': Size of the garbage bag
- 'Waste Bag Weekly Count': The amount of garbage thrown away in the last week.
- 'How Long TV PC Daily Hour': Daily time spent in front of TV or PC.
- 'How Many New Clothes Monthly': Number of clothes purchased monthly.
- 'How Long Internet Daily Hour': Time spent on the Internet daily.
- 'Energy efficiency': Whether or not you care about purchasing energy efficient devices.
- 'Recycling': The wastes it recycles.
- 'Cooking_With': Devices used in cooking
- 'CarbonEmission': Dependent variable, total carbon emissions.