Export Functions

Functions for exporting data to various formats including GeoJSON for Tableau, Excel, and RDS. Also includes helper functions for variable labels and mappings.

Usage

export_to_geojson(sf_data, filepath, crs = 4326)
export_to_excel(df, filepath)
export_to_rds(obj, filepath)
save_maps_to_pdf(plot_fn, filepath, width = 12, height = 8, ...)
enrich_for_tableau(sf_data, pop_data = NULL, nuts2_names = NULL, 
  var_col = "var", value_col = "value")
health_var_labels()
health_pillar_mapping()
cod_labels()

Arguments

sf_data

sf object to export

df

Dataframe to export

obj

Object to export

filepath

Character path for output file

crs

Integer EPSG code (default: 4326)

plot_fn

Function that generates plots

width

PDF width in inches

height

PDF height in inches

...

Additional arguments passed to plot_fn

pop_data

Population dataframe

nuts2_names

Name lookup dataframe

var_col

Name of the variable column

value_col

Name of the value column

Value

Invisibly returns the filepath, or named character vector for label functions

Examples

if (FALSE) { # \dontrun{
export_to_geojson(sf_data, "output/data.geojson")
export_to_excel(df, "output/data.xlsx")
} # }
health_var_labels()
#>                        score_cod_standardised_rate_res_tr 
#>                     "Standardized causes of death (rate)" 
#>                                  score_cod_pyll_3y_res_tr 
#>           "Potential Years of Life Lost (3-year average)" 
#>                              score_infant_mortality_rt_tr 
#>                                 "Infant mortality (rate)" 
#>                                            health_outcome 
#>                             "Health Outcomes (composite)" 
#>                                                 score_E_E 
#>                        "Enabling Environment (Composite)" 
#>                                                physicians 
#>                       "Physicians per 100000 inhabitants" 
#>                                                      beds 
#>                             "Beds per 100000 inhabitants" 
#>                                           score_TOOEFW_tr 
#>      "Too expensive or too far to travel or waiting list" 
#>                                           score_HOPING_tr 
#> "Wanted to wait and see if problem got better on its own" 
#>                                         score_NO_UNMET_tr 
#>                               "No unmet needs to declare" 
#>                                       score_health_percep 
#>                           "Health Perception (Composite)" 
health_pillar_mapping()
#>          score_cod_standardised_rate_res_tr 
#>                           "Health Outcomes" 
#>                    score_cod_pyll_3y_res_tr 
#>                           "Health Outcomes" 
#>                score_infant_mortality_rt_tr 
#>                           "Health Outcomes" 
#>                              health_outcome 
#>                           "Health Outcomes" 
#>                                   score_E_E 
#>                      "Enabling Environment" 
#>                                  physicians 
#>                      "Enabling Environment" 
#>                                        beds 
#>                      "Enabling Environment" 
#>                             score_TOOEFW_tr 
#> "Health Perception (Reason of unmet needs)" 
#>                             score_HOPING_tr 
#> "Health Perception (Reason of unmet needs)" 
#>                           score_NO_UNMET_tr 
#> "Health Perception (Reason of unmet needs)" 
#>                         score_health_percep 
#> "Health Perception (Reason of unmet needs)"