Baselight

Person-to-Object Contact Dataset

Actual conditions of contact behaviors with objects during the COVID-19 pandemic

@kaggle.teruakihayashi_person_to_object_contact_dataset

Contact Objects Dataset
@kaggle.teruakihayashi_person_to_object_contact_dataset.contact_objects_dataset

  • 40.26 KB
  • 1260 rows
  • 9 columns
userid

UserID

sex

Sex

age

Age

date

Date

weekflag

WeekFlag

location

Location

stayingtime

StayingTime

occupation

Occupation

contactobjectids

ContactObjectIDs

1female25-292020 Dec. 6 (Sun.)weekendSupermarket/CVS15–30 min.Homemaker49|55|1260
2female30-342020 Dec. 6 (Sun.)weekendSupermarket/CVS<15 min.Finance/insurance305|1260|1359
3female30-342020 Dec. 3 (Thu.)weekdaySupermarket/CVS1.0–1.5 h.Finance/insurance425|20|706|20
4male30-342020 Dec. 5 (Sat.)weekendSupermarket/CVS1.5–2.0 h.Manufacturing1484|1473|425|1373|926|928
5female35-392020 Dec. 4 (Fri.)weekdaySupermarket/CVS1.5–2.0 h.Homemaker55|120|424|1053
6female35-392020 Dec. 4 (Fri.)weekdaySupermarket/CVS15–30 min.Homemaker654|1260
7female35-392020 Dec. 4 (Fri.)weekdaySupermarket/CVS15–30 min.Homemaker1433|55|1260|350
8male60-642020 Dec. 3 (Thu.)weekdaySupermarket/CVS<15 min.Education/learning-support (e.g., schools, libraries, cram schools)63
9female65-692020 Dec. 3 (Thu.)weekdaySupermarket/CVS15–30 min.Homemaker117|126|964|1500|1684|1378|112
10female35-392020 Dec. 4 (Fri.)weekdaySupermarket/CVS30–45 min.Homemaker126|117|1473|350

CREATE TABLE contact_objects_dataset (
  "userid" BIGINT,
  "sex" VARCHAR,
  "age" VARCHAR,
  "date" VARCHAR,
  "weekflag" VARCHAR,
  "location" VARCHAR,
  "stayingtime" VARCHAR,
  "occupation" VARCHAR,
  "contactobjectids" VARCHAR
);

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