wbstats
wbstats: An R package for searching and downloading data from the World Bank API
Science Score: 23.0%
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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✓Committers with academic emails
2 of 4 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.0%) to scientific vocabulary
Keywords
open-data
r
r-package
rstats
world-bank
world-bank-api
worldbank
Last synced: 6 months ago
·
JSON representation
Repository
wbstats: An R package for searching and downloading data from the World Bank API
Basic Info
- Host: GitHub
- Owner: gshs-ornl
- License: other
- Language: R
- Default Branch: master
- Homepage: http://gshs-ornl.github.io/wbstats/
- Size: 14 MB
Statistics
- Stars: 127
- Watchers: 11
- Forks: 23
- Open Issues: 17
- Releases: 2
Topics
open-data
r
r-package
rstats
world-bank
world-bank-api
worldbank
Created almost 10 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
License
README.Rmd
---
output:
md_document:
variant: markdown_github
---
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/"
)
```
# wbstats: An R package for searching and downloading data from the World Bank API
[](https://CRAN.R-project.org/package=wbstats)
[](https://CRAN.R-project.org/package=wbstats)
[](https://www.tidyverse.org/lifecycle/#maturing)
You can install:
The latest release version from CRAN with
```{r, eval = FALSE}
install.packages("wbstats")
```
or
The latest development version from github with
```{r, eval = FALSE}
remotes::install_github("nset-ornl/wbstats")
```
# Downloading data from the World Bank
```{r readme-download, warning=FALSE}
library(wbstats)
# Population for every country from 1960 until present
d <- wb_data("SP.POP.TOTL")
head(d)
```
## Hans Rosling's Gapminder using `wbstats`
```{r readme-chart, warning=FALSE, message=FALSE, fig.width=12, fig.height=6}
library(tidyverse)
library(wbstats)
my_indicators <- c(
life_exp = "SP.DYN.LE00.IN",
gdp_capita ="NY.GDP.PCAP.CD",
pop = "SP.POP.TOTL"
)
d <- wb_data(my_indicators, start_date = 2016)
d %>%
left_join(wb_countries(), "iso3c") %>%
ggplot() +
geom_point(
aes(
x = gdp_capita,
y = life_exp,
size = pop,
color = region
)
) +
scale_x_continuous(
labels = scales::dollar_format(),
breaks = scales::log_breaks(n = 10)
) +
coord_trans(x = 'log10') +
scale_size_continuous(
labels = scales::number_format(scale = 1/1e6, suffix = "m"),
breaks = seq(1e8,1e9, 2e8),
range = c(1,20)
) +
theme_minimal() +
labs(
title = "An Example of Hans Rosling's Gapminder using wbstats",
x = "GDP per Capita (log scale)",
y = "Life Expectancy at Birth",
size = "Population",
color = NULL,
caption = "Source: World Bank"
)
```
## Using `ggplot2` to map `wbstats` data
```{r ggplot2, fig.height=6, fig.width=8, fig.align="center", message=FALSE, warning=FALSE}
library(rnaturalearth)
library(tidyverse)
library(wbstats)
ind <- "SL.EMP.SELF.ZS"
indicator_info <- filter(wb_cachelist$indicators, indicator_id == ind)
ne_countries(returnclass = "sf") %>%
left_join(
wb_data(
c(self_employed = ind),
mrnev = 1
),
c("iso_a3" = "iso3c")
) %>%
filter(iso_a3 != "ATA") %>% # remove Antarctica
ggplot(aes(fill = self_employed)) +
geom_sf() +
scale_fill_viridis_c(labels = scales::percent_format(scale = 1)) +
theme(legend.position="bottom") +
labs(
title = indicator_info$indicator,
fill = NULL,
caption = paste("Source:", indicator_info$source_org)
)
```
Owner
- Name: Geospatial Science and Human Security at ORNL
- Login: gshs-ornl
- Kind: organization
- Email: https://www.ornl.gov/
- Location: Oak Ridge, Tennessee
- Website: https://www.ornl.gov/
- Repositories: 4
- Profile: https://github.com/gshs-ornl
Geospatial Science and Human Security Division at Oak Ridge National Laboratory
GitHub Events
Total
- Issues event: 3
- Watch event: 2
Last Year
- Issues event: 3
- Watch event: 2
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jesse Piburn | j****n@g****m | 128 |
| Jesse Piburn | p****o@o****v | 6 |
| Petr Bouchal | p****l@g****m | 3 |
| Brendan Apfeld | b****d@u****u | 1 |
Committer Domains (Top 20 + Academic)
utexas.edu: 1
ornl.gov: 1
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 43
- Total pull requests: 5
- Average time to close issues: 4 months
- Average time to close pull requests: 8 months
- Total issue authors: 32
- Total pull request authors: 5
- Average comments per issue: 1.58
- Average comments per pull request: 1.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 6
- Pull requests: 0
- Average time to close issues: about 2 hours
- Average time to close pull requests: N/A
- Issue authors: 5
- Pull request authors: 0
- Average comments per issue: 0.17
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- vincentarelbundock (4)
- greg-minshall (4)
- jpiburn (3)
- lucasmation (2)
- morrisseyj (2)
- joufeihuang (2)
- rulla (1)
- umbe1987 (1)
- joachim-gassen (1)
- ggrothendieck (1)
- denironyx (1)
- SebKrantz (1)
- einian85 (1)
- bramtayl (1)
- petrbouchal (1)
Pull Request Authors
- BroVic (1)
- bapfeld (1)
- jpiburn (1)
- denironyx (1)
- petrbouchal (1)
Top Labels
Issue Labels
enhancement (7)
bug (3)
Pull Request Labels
enhancement (1)
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
proxy.golang.org: github.com/gshs-ornl/wbstats
- Documentation: https://pkg.go.dev/github.com/gshs-ornl/wbstats#section-documentation
- License: other
-
Latest release: v1.0.1
published over 5 years ago
Rankings
Dependent packages count: 5.5%
Average: 5.6%
Dependent repos count: 5.8%
Last synced:
6 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.2 depends
- dplyr * imports
- httr * imports
- jsonlite * imports
- lifecycle * imports
- lubridate * imports
- magrittr * imports
- readr * imports
- rlang * imports
- stringr * imports
- tibble * imports
- tidyr * imports
- ggplot2 * suggests
- knitr * suggests
- markdown * suggests
- rmarkdown * suggests