Type: | Package |
Title: | The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset |
Version: | 0.3.1 |
Maintainer: | Rami Krispin <rami.krispin@gmail.com> |
Description: | Provides a daily summary of the Coronavirus (COVID-19) cases in Italy by country, region and province level. Data source: Presidenza del Consiglio dei Ministri - Dipartimento della Protezione Civile https://www.protezionecivile.it/. |
License: | MIT + file LICENSE |
Encoding: | UTF-8 |
LazyData: | true |
Depends: | R (≥ 3.0.2) |
Imports: | devtools |
Suggests: | knitr (≥ 1.28), readr (≥ 1.3.1), remotes (≥ 2.1.1), rmarkdown (≥ 2.1), testthat (≥ 2.1.0) |
URL: | https://github.com/RamiKrispin/covid19italy |
BugReports: | https://github.com/RamiKrispin/covid19italy/issues |
RoxygenNote: | 7.1.1 |
VignetteBuilder: | knitr |
NeedsCompilation: | no |
Packaged: | 2021-07-28 05:39:41 UTC; ramikrispin |
Author: | Rami Krispin [aut, cre] |
Repository: | CRAN |
Date/Publication: | 2021-07-28 06:00:02 UTC |
The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Provinces Outbreak Dataset
Description
daily summary of the Coronavirus (COVID-19) pandemic cases in Italy's provinces
Usage
italy_province
Format
A data.frame object
Details
The dataset contains the daily summary of the Coronavirus pandemic cases in Italy's regions. The data includes the following fields:
- date - date of notification (Date class)
- region_name - region names
- region_code - region code
- province_name - province names
- province_spatial - the spatial province names as in the output of the 'ne_states' function from the **rnaturalearth** package
- province_abb - the province abbreviation
- province_code - province code
- lat - latitude point
- long - Longitude point
- new_cases - daily number of positive cases
- total_cases - total number of positive cases (cumulative)
- nuts_code_1 - groups of region - level 1 of Italy statistical regions (Nomenclature of Territorial Units for Statistics), more details available here
- nuts_code_2 - regions, level 2 of Italy statistical regions (Nomenclature of Territorial Units for Statistics), more details available here
- nuts_code_3 - provinces, level 3 of Italy statistical regions (Nomenclature of Territorial Units for Statistics), more details available here
Source
Presidenza del Consiglio dei Ministri - Dipartimento della Protezione Civile website
Examples
data(italy_province)
head(italy_province)
The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Regions Outbreak Dataset
Description
daily summary of the Coronavirus (COVID-19) pandemic cases in Italy's regions
Usage
italy_region
Format
A data.frame object
Details
The dataset contains the daily summary of the Coronavirus pandemic cases in Italy's regions. The data includes the following fields:
- date - date of notification (Date class)
- region_code - region code
- region_name - region names
- lat - latitude point
- long - Longitude point
- hospitalized_with_symptoms - number of hospitalised patients with symptoms
- intensive_care - intensive Care
- total_hospitalized - total hospitalised patients
- home_confinement - home confinement
- cumulative_positive_cases - total amount of current positive cases (Hospitalised patients + Home confinement)
- daily_positive_cases - news amount of current positive cases (Hospitalised patients + Home confinement)
- recovered - recovered cases
- death - death cases
- positive_clinical_activity - positive cases emerged from clinical activity
- positive_surveys_tests - positive cases emerging from surveys and tests, planned at national or regional level
- cumulative_cases - total positive, recovered, and death cases
- total_tests - number of tests performed
- total_people_tested - total number of people tested
- new_intensive_care - daily admissions to intensive care
- total_positive_tests - total positive tests
- total_fast_tests - total fast tests
- daily_positive_tests - daily positive tests
- daily_fast_tests - daily fasts tests
- nuts_code_1 - NUTS statistical regions of Italy more details available more details available here
- nuts_code_2 - NUTS statistical regions of Italy more details available here
- region_spatial - the spatial region names as in the output of the 'ne_states' function from the **rnaturalearth** package
Source
Presidenza del Consiglio dei Ministri - Dipartimento della Protezione Civile website
Examples
data(italy_region)
head(italy_region)
The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Outbreak Dataset
Description
daily summary of the Coronavirus (COVID-19) pandemic cases in Italy
Usage
italy_total
Format
A data.frame object
Details
The dataset contains the daily summary of the Coronavirus pandemic cases in Italy. The data includes the following fields:
- date - date of notification (Date class)
- hospitalized_with_symptoms - number of hospitalised patients with symptoms
- intensive_care - intensive Care
- total_hospitalized - total hospitalized patients
- home_confinement - home confinement
- cumulative_positive_cases - total amount of current positive cases (Hospitalised patients + Home confinement)
- daily_positive_cases - new amount of current positive cases (Hospitalised patients + Home confinement)
- recovered - recovered cases
- death - death cases
- positive_clinical_activity - positive cases emerged from clinical activity
- positive_surveys_tests - positive cases emerging from surveys and tests, planned at national or regional level
- cumulative_cases - total positive cases, recovered, and death cases
- total_tests - number of tests performed
- total_people_tested - total number of people tested
- new_intensive_care - daily admissions to intensive care
- total_positive_molecular_test - total positive cases tested by molecular tests
- total_positive_rapid_antigen_test - Total positive rapid antigen tests
- molecular_test - total molecular tests
- rapid_antigen_test - total rapid antigen tests
Source
Presidenza del Consiglio dei Ministri - Dipartimento della Protezione Civile website
Examples
data(italy_total)
head(italy_total)
Update the Package Datasets
Description
Checks if new data is available on the package dev version (Github). In case new data is available the function will enable the user the update the datasets
Usage
update_data()