Here: https://git.io/JrwgD
--
This code
reprex::reprex({
library(dplyr, warn.conflicts = FALSE)
library(r2dii.plot)
data <- market_share %>%
filter(
sector == "power",
technology == "renewablescap",
region == "global",
scenario_source == "demo_2020",
between(year, 2020, 2030)
)
plot_trajectory(data)
})
yields this reprex:
library(dplyr, warn.conflicts = FALSE)
library(r2dii.plot)
data <- market_share %>%
filter(
sector == "power",
technology == "renewablescap",
region == "global",
scenario_source == "demo_2020",
between(year, 2020, 2030)
)
plot_trajectory(data)
#> Normalizing `production` values to 2020 -- the start year.
Created on 2021-10-08 by the reprex package (v2.0.1)
--
Thanks @MonikaFu