132 lines
3.8 KiB
R
132 lines
3.8 KiB
R
# ------------------------------------------------------------------------
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#
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# eCO2mix data
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# https://www.rte-france.com/eco2mix
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#
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# ------------------------------------------------------------------------
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# Packages ----------------------------------------------------------------
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library(data.table)
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library(fasttime)
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complete <- function(data, vars, fill = list()) {
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data <- data[do.call(CJ, c(
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lapply(
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X = mget(vars),
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FUN = function(var) {
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if (inherits(var, "factor")) {
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if (anyNA(var)) {
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factor(c(levels(var), NA_character_), levels = levels(var), ordered = is.ordered(var))
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} else {
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factor(levels(var), levels = levels(var), ordered = is.ordered(var))
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}
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} else {
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unique(var)
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}
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}
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),
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list(sorted = FALSE)
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)), on = vars]
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if (length(fill) > 0 && all(nzchar(names(fill)))) {
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for (fillvar in names(fill)) {
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data[is.na(get(fillvar)), (fillvar) := fill[[fillvar]]]
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}
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}
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data[]
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}
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# Download data -----------------------------------------------------------
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# Source: https://odre.opendatasoft.com/explore/dataset/eco2mix-national-cons-def/
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# and https://odre.opendatasoft.com/explore/dataset/eco2mix-national-tr
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# Read & transform data ---------------------------------------------------
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# eco2mix <- fread(file = "data-raw/inputs/eco2mix-national-cons-def.csv")
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# eco2mix <- eco2mix[, c(5, 6, 9:17)]
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# setnames(eco2mix, c("datetime", "consumption", "fuel", "coal", "gas", "nuclear", "wind", "solar", "hydraulic", "pumping", "bioenergies"))
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eco2mix_tr <- fread(file = "data-raw/inputs/eco2mix-national-tr.csv")
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eco2mix_tr <- eco2mix_tr[, c(5, 6, 9:17)]
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setnames(eco2mix_tr, c("datetime", "consumption", "fuel", "coal", "gas", "nuclear", "wind", "solar", "hydraulic", "pumping", "bioenergies"))
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eco2mix <- copy(eco2mix_tr)
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# eco2mix <- rbind(eco2mix, eco2mix_tr)
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eco2mix <- eco2mix[!is.na(consumption)]
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eco2mix[, consumption := NULL]
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# eco2mix[, date := as.Date(format(datetime, format = "%Y-%m-%d"))]
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# eco2mix[, datetime := NULL]
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# setcolorder(eco2mix, "date")
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eco2mix <- eco2mix[minute(datetime) != 15]
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eco2mix <- eco2mix[minute(datetime) != 45]
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eco2mix <- eco2mix[datetime >= (max(datetime) - 24*60*60*7)]
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eco2mix <- melt(
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data = eco2mix,
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id.vars = 1,
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variable.name = "source",
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value.name = "production",
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na.rm = TRUE,
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variable.factor = FALSE
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)
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eco2mix <- eco2mix[, list(production = round(mean(production))), by = list(datetime, source)]
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eco2mix[, source := factor(
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x = source,
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levels = c("pumping", "wind", "solar", "nuclear", "hydraulic", "gas", "coal", "fuel", "bioenergies"),
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ordered = TRUE
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)]
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eco2mix <- complete(eco2mix, c("datetime", "source"), list(production = 0))
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setorder(eco2mix, source, datetime)
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eco2mix[]
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# Use data ----------------------------------------------------------------
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setDF(eco2mix)
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usethis::use_data(eco2mix, internal = FALSE, overwrite = TRUE, compress = "xz")
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# Test example ------------------------------------------------------------
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apex(eco2mix[source == "consumption"], aes(date, production), type = "line")
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# data("eco2mix", package = "apexcharter")
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apex(eco2mix, aes(datetime, production, fill = source), type = "area") %>%
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ax_chart(animations = list(enabled = FALSE), stacked = TRUE) %>%
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ax_stroke(width = 1) %>%
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ax_fill(opacity = 1, type = "solid") %>%
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ax_tooltip(x = list(format = "dd MMM, HH:mm")) %>%
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ax_yaxis(labels = list(formatter = format_num("~", suffix = "MW"))) %>%
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ax_colors_manual(
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list(
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"bioenergies" = "#156956",
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"fuel" = "#80549f",
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"coal" = "#a68832",
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"solar" = "#d66b0d",
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"gas" = "#f20809",
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"wind" = "#72cbb7",
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"hydraulic" = "#2672b0",
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"nuclear" = "#e4a701",
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"pumping" = "#0e4269"
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)
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) %>%
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ax_labs(
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title = "Electricity generation by sector in France",
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subtitle = "Data from \u00e9CO\u2082mix"
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)
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