Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

Package Usage: cran: choroplethr

Simplify the Creation of Choropleth Maps in R
28 versions
Latest release: 11 months ago
2 dependent packages
1,106 downloads last month

View more package details: https://packages.ecosyste.ms/registries/cran.r-project.org/packages/choroplethr

Dependent Repos 16

jtr13/edav2

* DESCRIPTION

Size: 36.7 MB - Last synced: about 2 months ago - Pushed: about 2 months ago

trulia/rUnemploymentData

Data and Functions for dealing with US Unemployment Data in R

* DESCRIPTION

Size: 365 KB - Last synced: about 2 months ago - Pushed: over 9 years ago

jtr13/EDAV

edav.info/

* DESCRIPTION

Size: 65.9 MB - Last synced: 11 months ago - Pushed: about 2 years ago

yutannihilation/choroplethrOsakaCity

A map of Osaka city for the use with the choroplethr package

>= 3.0.0 DESCRIPTION

Size: 344 KB - Last synced: about 1 year ago - Pushed: about 9 years ago

geanders/noaastormevents

explore noaa storm database

>= 3.7.0 DESCRIPTION

Size: 33 MB - Last synced: about 16 hours ago - Pushed: 7 months ago

:exclamation: This is a read-only mirror of the CRAN R package repository. rUnemploymentData — Data and Functions for USA State and County Unemployment Data. Homepage: http://www.arilamstein.com/open-source

* DESCRIPTION

Size: 509 KB - Last synced: 10 months ago - Pushed: over 7 years ago

arilamstein/choroplethrCaCensusTract

Shapefile, metadata and visualization functions for US Census Tracts in California

>= 3.3.0 DESCRIPTION

Size: 7.88 MB - Last synced: 10 months ago - Pushed: over 6 years ago

jtr13/cc19

Source code for EDAV Fall 2019 community contribution bookdown book:

* DESCRIPTION

Size: 71.3 MB - Last synced: 5 months ago - Pushed: over 3 years ago

arilamstein/choroplethrZip

Data and Visualization of US ZIP Codes

>= 3.3.0 DESCRIPTION

Size: 136 MB - Last synced: 8 months ago - Pushed: about 4 years ago

cran/countytimezones

:exclamation: This is a read-only mirror of the CRAN R package repository. countytimezones — Convert from UTC to Local Time for United States Counties. Homepage: https://github.com/geanders/countytimezones Report bugs for this package: https://github.com/geanders/countytimezones/issues

>= 3.5.2 DESCRIPTION

Size: 1.46 MB - Last synced: 10 months ago - Pushed: over 7 years ago

jlbriggs/choroplethrZip Fork of arilamstein/choroplethrZip

Data and Visualization of US ZIP Codes

>= 3.0.0 DESCRIPTION

Size: 121 MB - Last synced: over 1 year ago - Pushed: about 9 years ago

vpipkt/choroplethrZip Fork of arilamstein/choroplethrZip

Data and Visualization of US ZIP Codes

>= 3.3.0 DESCRIPTION

Size: 120 MB - Last synced: 4 months ago - Pushed: over 8 years ago

justinrichie/choroplethrZip Fork of arilamstein/choroplethrZip

Data and Visualization of US ZIP Codes

>= 3.3.0 DESCRIPTION

Size: 120 MB - Last synced: over 1 year ago - Pushed: over 8 years ago

timkiely/choroplethrZip Fork of arilamstein/choroplethrZip

Data and Visualization of US ZIP Codes

>= 3.3.0 DESCRIPTION

Size: 120 MB - Last synced: 6 months ago - Pushed: over 8 years ago

juliasilge/choroplethrUTCensusTract

Shapefile, Metadata, and Visualization Functions for US Census Tracts in Utah :sunrise_over_mountains:

>= 3.3.0 DESCRIPTION

Size: 949 KB - Last synced: about 1 year ago - Pushed: over 8 years ago

cran/DataVisualizations

:exclamation: This is a read-only mirror of the CRAN R package repository. DataVisualizations — Visualizations of High-Dimensional Data. Homepage: https://www.deepbionics.org/ Report bugs for this package: https://github.com/Mthrun/DataVisualizations/issues

* DESCRIPTION

Size: 10.5 MB - Last synced: 8 months ago - Pushed: 8 months ago

enbrown/choroplethrTnCensusTract Fork of arilamstein/choroplethrCaCensusTract

Shapefile, metadata and visualization functions for US Census Tracts in Tennessee (work in progress)

>= 3.3.0 DESCRIPTION

Size: 9.15 MB - Last synced: 10 months ago - Pushed: over 8 years ago

Mthrun/DataVisualizations

A collection of various visualizations methods is provided. The flagship is explorative data science using distribution analysis and PDE-optimized violin plots.