{ "data_id": "43400", "name": "COVID-19-community-mobility-reports", "exact_name": "COVID-19-community-mobility-reports", "version": 1, "version_label": "v1.0", "description": "The pandemic context brings new challenges to cities. This fantastic resource was created by Google with aggregated, anonymized sets of data from users who have turned on the Location History setting on Android. It captures the changes in mobility between baseline values (median value from the 5week period Jan 3 Feb 6, 2020) at weekly intervals data from February to October 2020. Data include changes in mobility related to workplace, residential, transit hubs, parks, retail and grocery. It covers 593 cities in 43 countries. \nSee https:\/\/ourworldindata.org\/covid-mobility-trends", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:11:42", "update_comment": null, "last_update": "2022-03-23 13:11:42", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102225\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "COVID-19-community-mobility-reports", "The pandemic context brings new challenges to cities. This fantastic resource was created by Google with aggregated, anonymized sets of data from users who have turned on the Location History setting on Android. It captures the changes in mobility between baseline values (median value from the 5week period Jan 3 Feb 6, 2020) at weekly intervals data from February to October 2020. Data include changes in mobility related to workplace, residential, transit hubs, parks, retail and grocery. It cover " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1048575, "NumberOfFeatures": 14, "NumberOfClasses": null, "NumberOfMissingValues": 5573689, "NumberOfInstancesWithMissingValues": 1048575, "NumberOfNumericFeatures": 7, "NumberOfSymbolicFeatures": 0, "Dimensionality": 1.3351453162625468e-5, "PercentageOfNumericFeatures": 50, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 100, "AutoCorrelation": null, "PercentageOfMissingValues": 37.96777940129631 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "country_region_code", "index": "0", "type": "string", "distinct": "43", "missing": "0" }, { "name": "country_region", "index": "1", "type": "string", "distinct": "43", "missing": "0" }, { "name": "sub_region_1", "index": "2", "type": "string", "distinct": "593", "missing": "11033" }, { "name": "sub_region_2", "index": "3", "type": "string", "distinct": "4465", "missing": "148180" }, { "name": "metro_area", "index": "4", "type": "string", "distinct": "3", "missing": "1047894" }, { "name": "iso_3166_2_code", "index": "5", "type": "string", "distinct": "789", "missing": "864417" }, { "name": "census_fips_code", "index": "6", "type": "numeric", "distinct": "0", "missing": "1048575", "min": "2147483647", "max": "0", "mean": "0", "stdev": "0" }, { "name": "date", "index": "7", "type": "string", "distinct": "242", "missing": "0" }, { "name": "retail_and_recreation_percent_change_from_baseline", "index": "8", "type": "numeric", "distinct": "288", "missing": "426419", "min": "-100", "max": "233", "mean": "-31", "stdev": "30" }, { "name": "grocery_and_pharmacy_percent_change_from_baseline", "index": "9", "type": "numeric", "distinct": "320", "missing": "437675", "min": "-100", "max": "332", "mean": "-8", "stdev": "24" }, { "name": "parks_percent_change_from_baseline", "index": "10", "type": "numeric", "distinct": "780", "missing": "476386", "min": "-100", "max": "1206", "mean": "-18", "stdev": "60" }, { "name": "transit_stations_percent_change_from_baseline", "index": "11", "type": "numeric", "distinct": "372", "missing": "551496", "min": "-100", "max": "383", "mean": "-35", "stdev": "31" }, { "name": "workplaces_percent_change_from_baseline", "index": "12", "type": "numeric", "distinct": "191", "missing": "75278", "min": "-93", "max": "191", "mean": "-19", "stdev": "23" }, { "name": "residential_percent_change_from_baseline", "index": "13", "type": "numeric", "distinct": "80", "missing": "486336", "min": "-35", "max": "56", "mean": "11", "stdev": "9" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }