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println("\n--- Country analysis demo ------------------------------------------------\n")

* `name_or_code` can be a common name (“France”), an ISO‑2 code (“FR”), or an ISO‑3 code (“FRA”). julia pais anal

You can extend any of the steps (e.g., add more fields, plug in a different data source, or compute extra statistics). # -------------------------------------------------------------- # Country analysis feature for Julia # -------------------------------------------------------------- using HTTP using JSON3 using DataFrames # optional, only needed if you want tabular output using Statistics # for mean, median, etc. using Printf # for nice formatting ")") for (_

# ---------------------------------------------------------------- # 1️⃣ Data structures # ---------------------------------------------------------------- """ CountryInfo v) in dict] end

Returns a `CountryReport`. """ function analyze_country(name_or_code::AbstractString; gdp_table=nothing) # ---- 1️⃣ Pull the JSON payload --------------------------------- url = "https://restcountries.com/v3.1/name/" * HTTP.escapeuri(name_or_code) resp = HTTP.get(url; timeout=15)

# Turn a dictionary of currencies (e.g. "USD"=>"name"=>"United States dollar","symbol"=>"$") into a vector of strings. function currencies_from_dict(dict::Dict) return [string(v["name"], " (", get(v, "symbol", "?"), ")") for (_, v) in dict] end