library(nsoApi) library(dplyr) library(tidyr) library(RCurl) curl <- getCurlHandle() n_table <- 5
baseURL <- "http://data.ssb.no/api/v0" ## flow <- "OrgsatEksUlonn" ## req_uri <- as.character(ssb_tables$Statistic[ssb_tables$ID==flow])[1] ## flow <- "SnusUtdKj" req_uri <- "http://data.ssb.no/api/v0/en/table/he/he03/royk/SnusUtdKj" ## req_uri <- file.path(baseURL, path, flow) bottom_node <- pxweb::get_pxweb_metadata(req_uri) dims <- pxweb::get_pxweb_dims(bottom_node) ## dims_list <- as.list(rep("*", length(names(dims)))) ## names(dims_list) <- names(dims) dims_list <- lapply(dims, function(x) sample(x$values, min(3, length(x$values)))) pxweb_data <- # retrieve data pxweb::get_pxweb_data( url = req_uri, dims = dims_list, clean = TRUE) knitr::kable(pxweb_data[1:10,])
library(ggplot2) ## unique(pxweb_data$`type of activity`) ## unique(pxweb_data$`level of education`) ## dput(unique(pxweb_data$`how often during the last 12 months`)) ## str(pxweb_data) data_plot <- pxweb_data ## data_plot$`how often during the last 12 months` <- ## factor(data_plot$`how often during the last 12 months`, ## levels = c( ## "not at all", ## "a few times during the last three months or less often", ## "every day (by and large)" ## )) p <- data_plot %>% filter(!(sex %in% c("Both sexes"))) %>% ## filter(!(`level of education` %in% c("total"))) %>% ## filter(observations %in% c("Estimated numbers in thousands")) %>% ggplot(aes(x = year, y = values, fill = contents)) + ## geom_point() + geom_bar(position = "dodge", stat = "identity") + ## facet_grid(`level of education` ~ `sex`) + facet_grid(sex ~ `level of education`) + scale_fill_manual(values = c("#F92672", "black")) + scale_x_discrete(name = NULL, expand = c(0,0)) + scale_y_continuous(name = "Estimated Numbers", expand = c(0,0)) + theme_bw() + theme(legend.position = "top") p
fig_path <- "../../../html/slides/nsoapi/assets/" svg(file = file.path(fig_path, "ssb-bar.svg"), height=4.5, width = 8.5) print(p) dev.off()
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