{ "data_id": "43765", "name": "CDP-Challenge-Cities-KPI", "exact_name": "CDP-Challenge-Cities-KPI", "version": 1, "version_label": "v1.0", "description": "Context\nThis dataset is generated after an epxloratory analysis of data provided by Carbon Disclosure Project in the following competition: CDP: Unlocking Climate Solutions.\nIt contains a compilation of indicators extracted and calculated based on cities' reponses to CDP disclosure for the year of 2020.\nContent\nGovernance Data Management\n\nSustainability.Targets.Master.Planning (Question 1.0): Cities report if they incorporate sustainability goals and targets into the master planning\n\nClimate hazards and vulnerability\n\nRisk.Assessment.Actions (Question 2.0): Cities report if a climate change risk or vulnerability assessment been undertaken\nNb.Hazards.Type (Question 2.1): Counting the number of reported hazards by organization\nHazards.Exposure.Level (Question 2.1): The weighted sum of reported hazards and porbability \nAdaptation.Challenges.Economic (Question 2.2): Number of reported significant adaptation challenges related to economic sector\nAdaptation.Challenges.Health (Question 2.2): Number of reported significant adaptation challenges related to health sector\nAdaptation.Challenges.Education (Question 2.2): Number of reported significant adaptation challenges related to education sector\nAdaptation.Challenges.Habitat (Question 2.2): Number of reported significant adaptation challenges related to habitation sector\nAdaptation.Challenges.Infrastructure (Question 2.2): Number of reported significant adaptation challenges related to infrastructure\nAdaptation.Challenges.Social (Question 2.2): Number of reported significant adaptation challenges related to social issues\nAdaptation.Challenges.Environment (Question 2.2): Number of reported significant adaptation challenges related to environmental issues\nAdaptation.Challenges.Governance (Question 2.2): Number of reported significant adaptation challenges related to governance\nAdaptation.Challenges.Level (Question 2.2): Sum of reported significant adaptation challenges \nRisk.Health.System (Question 2.3): Cities indicate if they face risks to public health systems associated with climate change\n\nAdaptation\n\nNb.Adaptations.Actions (Question 3.0): Number of reported adaptation actions cities are taking to reduce the risk to climate change hazards\nAdaptation.Plan (Question 3.2): Cities indicating if they have a published plan that addresses climate change adaptation\n\nCity-wide emissions\n\nCity.Wide.Emissions.Inventory (Question 4.0): Answering if they have a city-wide emissions inventory to report\nGHG.Emissions.Primary.protocol (Question 4.3): The name of the primary protocol, standard, or methodology you have used to calculate your citys city-wide GHG emissions\nGHG.Emissions.Evolution (Question 4.8): Indication if the city-wide emissions have increased, decreased, or stayed the same since the last emissions inventory\nGHG.Emissions.Consumption (Question 4.9): Indication if the city-wide emissions have increased, decreased, or stayed the same since the last emissions inventory\nGHG.Emissions.External.Verification (Question 4.12): Indication if the GHG emissions data heve been externally verified or audited\n\nEmission reduction\n\nGHG.Emissions.Reductions.Targets (Question 5.0):Cities are reporting if they have a GHG emissions reduction target(s) in place at the city-wide level\nEmissions.Reductions.Mitigation.Planning (Question 5.5):Cities are reporting if they have a climate change mitigation or energy access plan for reducing city-wide GHG emissions\n\nOpportunities\n\nOpportunities.Collaboration (Question 6.2):Cities are reporting if they collaborate in partnership with businesses on sustainability projects\n\nEnergy\n\nRenewable.Energy.Target (Question 8.0):Cities are reporting if they have a renewable energy or electricity target\nElectricity.Source.Renewable (Question 8.1): Percent of renewable source mix of eleictricity consumed in the city\nEnergy.Efficnecy.Target (Question 8.5): Cities are reporting if they have a target to increase energy efficiency\n\nTransport\n\nTransport.Mode.Passenger.Private.motorized (Question 10.1): Percent of private motorized transport mode in city passenger transport\nTransport.Mode.Passenger.Walking (Question 10.1): Percent of walking transport mode in city passenger transport\nTransport.Mode.Passenger.Public (Question 10.1): Percent of public transport mode in city passenger transport\nTransport.Mode.Passenger.Cycling (Question 10.1): Percent of cycling transport mode in city passenger transport\nTransport.Mode.Passenger.Other (Question 10.1): Percent of other transport mode in city passenger transport\nLow.Zero.Emission.Zone (Question 10.7): Cities are reporting if they have a low or zero-emission zone\n\nFood\n\nFood.Consumption.Policies (Question 12.3): Cities are reporting if they have any policies relating to food consumption\n\nWater security\n\nPotable.Water.Supply.Percent (Question 14.1): Percentage of city's population having potable water supply service\nPotable.Water.Supply.Percent (Question 14.4): Cities are reporting if they have have a publicly available Water Resource Management strategy\n\nAcknowledgements\n\nThis dataset is generated by this notebook: https:\/\/www.kaggle.com\/shabou\/exploratory-analysis-of-cities-responses\nThis datset is based on dataset provded by CDP challenge: https:\/\/www.kaggle.com\/c\/cdp-unlocking-climate-solutions\n\nInspiration\n\nMultivariate analysis of cities' KPIs\nCities culstering based on the proposed KPIs", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-24 07:53:28", "update_comment": null, "last_update": "2022-03-24 07:53:28", "licence": "CC BY-SA 4.0", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102590\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "CDP-Challenge-Cities-KPI", "Context This dataset is generated after an epxloratory analysis of data provided by Carbon Disclosure Project in the following competition: CDP: Unlocking Climate Solutions. It contains a compilation of indicators extracted and calculated based on cities' reponses to CDP disclosure for the year of 2020. Content Governance Data Management Sustainability.Targets.Master.Planning (Question 1.0): Cities report if they incorporate sustainability goals and targets into the master planning Climate hazar " ], "weight": 5 }, "qualities": { "NumberOfInstances": 615, "NumberOfFeatures": 58, "NumberOfClasses": null, "NumberOfMissingValues": 9612, "NumberOfInstancesWithMissingValues": 567, "NumberOfNumericFeatures": 34, "NumberOfSymbolicFeatures": 0, "Dimensionality": 0.0943089430894309, "PercentageOfNumericFeatures": 58.620689655172406, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 92.19512195121952, "AutoCorrelation": null, "PercentageOfMissingValues": 26.947014297729183 }, "tags": [ { "uploader": "38960", "tag": "Economics" }, { "uploader": "38960", "tag": "Machine Learning" } ], 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