### Get multiple datasets

Source: https://github.com/ilostat/rilostat/blob/master/vignettes/Rilostat.html

Example demonstrating how to retrieve multiple datasets.

```R
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```

--------------------------------

### Example 1: Labeling a data frame

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/label_ilostat.html

This example shows how to get data using get_ilostat and then label it using label_ilostat.

```R
if (FALSE) { # \dontrun{
 dat <- get_ilostat("UNE_2UNE_SEX_AGE_NB_A", cache = FALSE)
 dat_lab <- label_ilostat(dat)
 head(dat_lab)


 # add just ref_area label
 require(tidyverse)

 dat <- get_ilostat("UNE_TUNE_SEX_AGE_NB_A") %>%
 mutate(ref_area.label = ref_area %>%
 label_ilostat( "ref_area", code = "all"), .after = ref_area)



 clean_ilostat_cache() 
} # }
```

--------------------------------

### Get multiple datasets

Source: https://github.com/ilostat/rilostat/blob/master/docs/articles/Rilostat.html

Example demonstrating how to fetch and visualize youth unemployment rate data across different regions using the Rilostat package.

```R
require(Rilostat)
if(!require(plotly)){install.packages('plotly')}
if(!require(dplyr)){install.packages('dplyr')}
if(!require(stringr)){install.packages('stringr')}

dat <- get_ilostat(id = 'UNE_DEAP_SEX_AGE_RT_A', filters = list(
                                    time = '2019', 
                                    sex = 'SEX_T', 
                                    classif1 = '_Y15-24'
                                    ), quiet = TRUE) %>%
                distinct(ref_area, obs_value) %>%
                left_join(  Rilostat:::ilostat_ref_area_mapping %>%
                                select(ref_area, ref_area_plotly)%>% 
                                label_ilostat(code = 'ref_area'), 
                            by = "ref_area") %>%
                filter(!obs_value %in% NA)
        
                
                
dat %>%
        plot_geo( 
                z = ~obs_value, 
                text = ~ref_area.label, 
                locations = ~ref_area_plotly
            ) %>%
            add_trace(
                colors = 'Blues',
                marker = list(
                            line = list(
                                color = toRGB("grey"), 
                                width = 0.5)
                        ), 
                showscale = TRUE
            ) %>%
            colorbar(
                title = '%',
                len = 0.5
            ) %>%
            layout(
              geo = list(   
                        showframe = FALSE,  
                        showcoastlines = TRUE,
                        projection = list(type = 'natural earth'), 
                        showcountries = TRUE, 
                        resolution = 110) # or 50
                ) 

  
```

--------------------------------

### Examples

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/distribution_ilostat.html

Examples of how to use the distribution_ilostat function.

```R
if (FALSE) { # \dontrun{
 dat <- get_ilostat("EMP_TEMP_SEX_STE_GEO_NB_A", cache = FALSE)
 dat_dist <- distribution_ilostat(dat, "classif1")
 dat_plus_dist <- mutate(dat, dist = distribution_ilostat(dat,"classif1", .keep=TRUE))
 head(dat_dist)
 clean_ilostat_cache() 
} # }
```

--------------------------------

### Examples

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/Rilostat.html

Example usage of the Rilostat package.

```R
if (FALSE) { # \dontrun{
# check which documentation have been recently added:
# help(Rilostat)

# https://ilostat.github.io/Rilostat/
} # }
```

--------------------------------

### Example Reference Area Dataset Names

Source: https://github.com/ilostat/rilostat/blob/master/docs/articles/Bulkdownload.html

Examples of dataset names within the 'ref_area' directories, showing the structure of code names.

```text
ABW_A.csv.gz
Dataset containing all annual data available for Aruba
ABW_M.csv.gz
Dataset containing all monthly data available for Aruba
```

--------------------------------

### Example Indicator Dataset Names

Source: https://github.com/ilostat/rilostat/blob/master/docs/articles/Bulkdownload.html

Examples of dataset names within the 'indicator' directories, showing the structure of code names.

```text
EAP_TEAP_SEX_AGE_NB_A.csv.gz
Dataset with annual labour force by sex and age
EMP_DWAP_NOC_RT_A.csv.gz
Dataset with annual employment-to-population ratio
```

--------------------------------

### Get multiple datasets

Source: https://github.com/ilostat/rilostat/blob/master/vignettes/Rilostat.html

Example of retrieving unemployment rate data for multiple countries and age groups.

```R
options(ilostat_cache_dir = 'C:/temp')
dat <- get_ilostat(id = 'UNE_DEAP_SEX_AGE_RT_A', filters = list(
                                                        ref_area = c('BRA', 'ZAF'), 
                                                        sex = 'M', 
                                                        classif1 = '_YGE15'), 
                                                    quiet = TRUE)
```

```R
options(ilostat_cache_dir = 'C:/temp')
dat <- get_ilostat(id = 'UNE_DEAP_SEX_AGE_RT_A', filters = list(
                                                        ref_area = c('BRA', 'ZAF'), 
                                                        sex = 'F', 
                                                        classif1 = '_YGE15'), 
                                                     quiet = TRUE)
```

--------------------------------

### Example

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/clean_ilostat_cache.html

An example of how to use the clean_ilostat_cache function.

```R
if (FALSE) { # \dontrun{
clean_ilostat_cache() 
} # } 
```

--------------------------------

### Examples

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/get_ilostat_dic.html

Examples demonstrating how to use the get_ilostat_dic function.

```R
if (FALSE) { # \dontrun{
 tmp <- get_ilostat_dic("indicator")
 head(tmp)
 tmp <- get_ilostat_dic("classif1", lang = "fr")
 head(tmp)
} # }
```

--------------------------------

### Example

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/get_ilostat_toc.html

An example of how to use the get_ilostat_toc function to download the table of contents.

```R
if (FALSE) { # \dontrun{
## default segment by indicator, default lang English
 toc <- get_ilostat_toc()
}
```

--------------------------------

### Installation

Source: https://github.com/ilostat/rilostat/blob/master/vignettes/Rilostat.html

Commands to install the release and development versions of the Rilostat package.

```R
install.packages("Rilostat")
```

```R
if(!require(devtools)){install.packages('devtools')}
    install_github("ilostat/Rilostat")
```

--------------------------------

### Get multiple datasets

Source: https://github.com/ilostat/rilostat/blob/master/vignettes/Rilostat.html

This snippet demonstrates how to retrieve multiple datasets using the Rilostat package.

```R
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
```

--------------------------------

### Docsearch Initialization

Source: https://github.com/ilostat/rilostat/blob/master/docs/articles/Bulkdownload.html

This code snippet shows how to initialize Docsearch with specific configuration options, including an API key, index name, input selector, and a data transformation function to update hit URLs.

```javascript
docsearch({
  apiKey: '5bb9805eecd1b1c2d12958ea75a8e9e8',
  indexName: 'rilostat',
  inputSelector: 'input#search-input.form-control',
  transformData: function(hits) {
    return hits.map(function (hit) {
      hit.url = updateHitURL(hit);
      return hit;
    });
  }
});
```

--------------------------------

### Setting cache options via options()

Source: https://github.com/ilostat/rilostat/blob/master/vignettes/Rilostat.html

Demonstrates setting cache directory and format using R options.

```r
options(ilostat_cache_dir = 'C:/temp')
options(ilostat_cache_format = 'dta')
```

--------------------------------

### Install Rilostat

Source: https://github.com/ilostat/rilostat/blob/master/README.md

Install the Rilostat package from CRAN.

```r
install.packages("Rilostat")
```

--------------------------------

### Image Styling

Source: https://github.com/ilostat/rilostat/blob/master/README.html

Sets border to 0 for images.

```css
img {
  border: 0;
}
```

--------------------------------

### Code and Keyboard Input Styling

Source: https://github.com/ilostat/rilostat/blob/master/README.html

Sets monospace font for code, kbd, and pre elements.

```css
code, kbd, pre {
  font-family: monospace, monospace;
  font-size: 1em;
}
```

--------------------------------

### Get the table of contents of the ILOSTAT database.

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/get_ilostat_toc.html

Get the table of contents of the ILOSTAT database.

```R
toc <- get_ilostat_toc(segment = "ref_area", lang = "fr")
head(toc)
```

```R
toc <- get_ilostat_toc(search = "education")
head(toc)
```

```R
toc <- get_ilostat_toc(lang = "fr", search = "age")
head(toc)
```

```R
toc <- get_ilostat_toc(segment = "ref_area", lang = "fr", search = "Albanie")
toc
```

```R
toc <- get_ilostat_toc(segment = "ref_area", lang = "es", search = "Trimestral")
head(toc)
```

```R
toc <- get_ilostat_toc(segment = "ref_area", lang = "fr", 
            search = "Albanie|France", fixed = FALSE)
head(toc)
```

```R
toc <- get_ilostat_toc(search = "youth|adult", fixed = FALSE)
head(toc)
```

--------------------------------

### Basic Body Styling

Source: https://github.com/ilostat/rilostat/blob/master/README.html

Sets default styles for the body, including font, size, line-height, and word-wrap.

```css
body {
  -webkit-text-size-adjust: 100%;
  text-size-adjust: 100%;
  color: #333;
  font-family: "Helvetica Neue", Helvetica, "Segoe UI", Arial, freesans, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
  font-size: 16px;
  line-height: 1.6;
  word-wrap: break-word;
}
```

--------------------------------

### Examples

Source: https://github.com/ilostat/rilostat/blob/master/docs/reference/dataquery.html

Example of how to use the dataquery function, typically run in a non-interactive session.

```R
if (FALSE) { # \dontrun{

require(shiny)

 dataquery()

} # }
```

--------------------------------

### Install Development Version

Source: https://github.com/ilostat/rilostat/blob/master/README.md

Install the development version of the Rilostat package using devtools.

```r
if(!require(devtools)){install.packages('devtools')}
install_github("ilostat/Rilostat")
```

--------------------------------

### Pre Element Font and Size

Source: https://github.com/ilostat/rilostat/blob/master/README.html

Sets font and size for pre elements, overriding the general pre style.

```css
pre {
  margin-top: 0;
  margin-bottom: 0;
  font: 12px Consolas, "Liberation Mono", Menlo, Courier, monospace;
}
```