knitr::opts_chunk$set(echo = TRUE)
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library(tidyr) library(dplyr) library(ggplot2) library(fishRmap) library(countrycode) agg <- read.csv("../Data/species_CT_agg_clean_13Oct17.csv") agg$imp <- countrycode(agg$Importer.Code, origin = "iso3n", destination = "iso.name.en") agg$imp <- coalesce(agg$imp, as.character(agg$Importer)) agg$impcont <- countrycode(agg$Importer.Code, origin = "iso3n", destination = "continent") # make sure it's working #agg$Importer <- as.character(agg$Importer) #agg[agg$Importer != agg$imp,c('Importer','imp')] agg$exp <- countrycode(agg$Exporter.Code, origin = "iso3n", destination = "iso.name.en") agg$exp <- coalesce(agg$exp, as.character(agg$Exporter)) agg$expcont <- countrycode(agg$Exporter.Code, origin = "iso3n", destination = "continent") #agg$Importer.Code <- countrycode(agg$Importer.ISO3c, origin = "iso3c", destination = "iso3n") #agg$Exporter.Code <- countrycode(agg$Exporter.ISO3c, origin = "iso3c", destination = "iso3n") agg <- select(agg, year, FS_group, Agg.Weight, Agg.Value, exp, expcont, imp, impcont) source("shiny_app_test/app.R") test_app(df=agg, facetRowsBy='expcont', facetColsBy='impcont', logTransform=T, colorBy='FS_group' )
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