COVID-19 Surveillance
Donated on 4/23/2020
Coronavirus Disease (COVID-19) Surveillance.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
14
# Features
7
Dataset Information
Additional Information
Guidelines for Prevention and Control of Coronavirus Disease (COVID-19).
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| A01 | Feature | Binary | no | ||
| A02 | Feature | Binary | no | ||
| A03 | Feature | Binary | no | ||
| A04 | Feature | Binary | no | ||
| A05 | Feature | Binary | no | ||
| A06 | Feature | Binary | no | ||
| A07 | Feature | Binary | no | ||
| Categories | Target | Categorical | no |
0 to 8 of 8
Additional Variable Information
Symptoms of COVID-19
Dataset Files
| File | Size |
|---|---|
| Surveillance.csv | 306 Bytes |
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Install the ucimlrepo package
pip install ucimlrepo
Import the dataset into your code
View the full documentationfrom ucimlrepo import fetch_ucirepo # fetch dataset covid_19_surveillance = fetch_ucirepo(id=567) # data (as pandas dataframes) X = covid_19_surveillance.data.features y = covid_19_surveillance.data.targets # metadata print(covid_19_surveillance.metadata) # variable information print(covid_19_surveillance.variables)
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Citation
COVID-19 Surveillance [Dataset]. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C5TC85.
Style:
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.