https://github.com/calderonsamuel/ubigeosperu
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.6%) to scientific vocabulary
Keywords
geocoding
peru
peruvian
peruvian-cities
r
Last synced: 6 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: calderonsamuel
- License: other
- Language: R
- Default Branch: master
- Size: 78.1 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
geocoding
peru
peruvian
peruvian-cities
r
Created over 6 years ago
· Last pushed almost 6 years ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# ubigeosperu
[](https://www.repostatus.org/#active)
[](https://cran.r-project.org/package=ubigeosperu)
The goal of ubigeosperu is to have an easy way to get the peruvian ubigeos into R. The data has been collected from CONCYTEC's GitHub [repository](https://github.com/CONCYTEC/ubigeo-peru/blob/master/equivalencia-ubigeos-oti-concytec.csv).
## Installation
You can install the released version of ubigeosperu from [CRAN](https://CRAN.R-project.org) with:
``` r
## This will work when the package is published into CRAN
install.packages("ubigeosperu")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("calderonsamuel/ubigeosperu")
```
## Example
This is a basic example which shows you how to solve a common problem:
```{r library, message=FALSE}
library(ubigeosperu)
library(dplyr)
```
ubigeosperu contains a single dataframe object containing the peruvian ubigeos codes.
```{r dim, message=FALSE}
dim(ubigeos)
```
The ubigeos dataset is a tibble.
```{r tibble, message=FALSE}
ubigeos
```
You can access the tidy version and pipe it!
```{r tidy, message=FALSE}
ubigeos_tidy %>%
filter(lugar == "CHORRILLOS", nivel == "Distrito")
```
Owner
- Name: Samuel Calderon
- Login: calderonsamuel
- Kind: user
- Location: Lima
- Website: www.samuelenrique.com
- Twitter: samucalse
- Repositories: 9
- Profile: https://github.com/calderonsamuel
Peruvian political scientist
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0