From 1020b216daac941ae660cc2e9c5381f24021fea2 Mon Sep 17 00:00:00 2001 From: lindadelacombaze Date: Tue, 4 Jun 2024 13:44:05 +0000 Subject: [PATCH] adapted Rmd file to work with tiltIndicatorAfter --- .../integration-with-tiltIndicator.Rmd | 32 +++---------------- 1 file changed, 5 insertions(+), 27 deletions(-) diff --git a/vignettes/articles/integration-with-tiltIndicator.Rmd b/vignettes/articles/integration-with-tiltIndicator.Rmd index 6ff80de..475e066 100644 --- a/vignettes/articles/integration-with-tiltIndicator.Rmd +++ b/vignettes/articles/integration-with-tiltIndicator.Rmd @@ -36,15 +36,6 @@ europages_companies <- read_csv(toy_europages_companies()) ecoinvent_activities <- read_csv(toy_ecoinvent_activities()) ecoinvent_europages <- read_csv(toy_ecoinvent_europages()) isic_name <- read_csv(toy_isic_name()) - -result <- profile_emissions( - companies, - products, - europages_companies = europages_companies, - ecoinvent_activities = ecoinvent_activities, - ecoinvent_europages = ecoinvent_europages, - isic = isic_name -) ``` Apply tilt methodology. @@ -57,32 +48,19 @@ result <- profile_emissions( ecoinvent_activities = ecoinvent_activities, ecoinvent_europages = ecoinvent_europages, isic = isic_name -) -``` - - -```{r} -#emissions_profile <- profile_emissions(companies, products) -#at_product_level <- unnest_product(emissions_profile) -``` - -Adapt the ouput of tiltIindicator to the input of tiltPlot. - -```{r} -at_product_level <- at_product_level |> - rename(emission_profile = risk_category, benchmark = grouped_by) + ) |> + unnest_product() ``` Visualize all companies. ```{r} -#FIXME: add columns best_case, equal_weight and worst_case to the at_product_level data -#bar_plot_emission_profile(at_product_level, benchmarks = c("all", "unit"), mode = "equal_weight") +bar_plot_emission_profile(result, benchmarks = c("all", "unit"), mode = "equal_weight") ``` Visualize one specific company. ```{r} -#first_company <- filter(at_product_level, companies_id %in% first(companies_id)) -#bar_plot_emission_profile(first_company, benchmarks = c("all", "unit"), mode = "equal_weight") +first_company <- filter(result, companies_id %in% first(companies_id)) +bar_plot_emission_profile(first_company, benchmarks = c("all", "unit"), mode = "equal_weight") ```