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Add article for descriptive analysis on
equal_weight, best_case, …
…and `worst_case` for emission profile (#23) * Add article * Import 'tiltPlot'
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vignettes/articles/descriptive-analysis-best_case_worst_case_emission_profile.Rmd
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| --- | ||
| title: "Descriptive analysis of best case and worst case for emission profile" | ||
| --- | ||
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| ```{r, include = FALSE} | ||
| knitr::opts_chunk$set( | ||
| collapse = TRUE, | ||
| comment = "#>" | ||
| ) | ||
| ``` | ||
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| This article shows how to calculate the descriptive analysis of equal weight, | ||
| best case, and worst case for emission profile. | ||
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| ```{r setup, echo = FALSE, message=FALSE} | ||
| library(tiltDataAnalysis) | ||
| library(dplyr) | ||
| library(knitr) | ||
| library(ggplot2) | ||
| options(readr.show_col_types = FALSE) | ||
| ``` | ||
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| ### Example product-level output of emission profile for best case and worst case | ||
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| ```{r, warning=FALSE} | ||
| emission_product_example <- example_emission_product_best_case_worst_case() | ||
| kable(emission_product_example) | ||
| ``` | ||
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| ### Average `emissions_profile_equal_weight` per benchmark and emission_profile | ||
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| ```{r, warning=FALSE} | ||
| avg_per_benchmark_risk_category <- function(data, col) { | ||
| data |> | ||
| select(all_of(c("benchmark", "emission_profile", col))) |> | ||
| distinct() |> | ||
| mutate(total_mode = sum(.data[[col]], na.rm = TRUE), .by = c("benchmark", "emission_profile")) |> | ||
| mutate(proportion = total_mode / sum(total_mode), .by = c("benchmark")) |> | ||
| select(-all_of(c("total_mode", col))) |> | ||
| distinct() | ||
| } | ||
| avg_equal_weight_per_benchmark_risk_category <- avg_per_benchmark_risk_category(emission_product_example, "emissions_profile_equal_weight") |> | ||
| rename(avg_equal_weight = "proportion") | ||
| kable(avg_equal_weight_per_benchmark_risk_category) | ||
| ``` | ||
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| #### Bar plot | ||
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| ```{r, echo = FALSE, warning=FALSE} | ||
| score_colors <- function(...) c("low" = "#F6CB4E", "medium" = "#B3D15D", "high" = "#E3693B") | ||
| fill_score_colors <- function() scale_fill_manual(values = score_colors(), na.value = "#0476D0") | ||
| plot_bar_plot_profile <- function(data, col) { | ||
| ggplot(data, aes(x = .data[[col]], y = .data$benchmark, fill = .data$emission_profile)) + | ||
| geom_col(position = position_stack(reverse = TRUE), width = 0.5) + | ||
| fill_score_colors() + | ||
| tiltPlot::theme_tiltplot() + | ||
| xlim(0, NA) | ||
| } | ||
| plot_bar_plot_profile(avg_equal_weight_per_benchmark_risk_category, "avg_equal_weight") | ||
| ``` | ||
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| ### Average `emissions_profile_best_case` per benchmark and emission_profile | ||
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| ```{r, warning=FALSE} | ||
| avg_best_case_per_benchmark_risk_category <- avg_per_benchmark_risk_category(emission_product_example, "emissions_profile_best_case") |> | ||
| rename(avg_best_case = "proportion") | ||
| kable(avg_best_case_per_benchmark_risk_category) | ||
| ``` | ||
|
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| #### Bar plot | ||
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| ```{r, echo = FALSE, warning=FALSE} | ||
| plot_bar_plot_profile(avg_best_case_per_benchmark_risk_category, "avg_best_case") | ||
| ``` | ||
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| ### Average `emissions_profile_worst_case` per benchmark and emission_profile | ||
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| ```{r, warning=FALSE} | ||
| avg_worst_case_per_benchmark_risk_category <- avg_per_benchmark_risk_category(emission_product_example, "emissions_profile_worst_case") |> | ||
| rename(avg_worst_case = "proportion") | ||
| kable(avg_worst_case_per_benchmark_risk_category) | ||
| ``` | ||
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| #### Bar plot | ||
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| ```{r, echo = FALSE, warning=FALSE} | ||
| plot_bar_plot_profile(avg_worst_case_per_benchmark_risk_category, "avg_worst_case") | ||
| ``` | ||
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| ### Average `emissions_profile_equal_weight` per benchmark and emission_profile for a country | ||
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| ```{r, warning=FALSE} | ||
| avg_per_benchmark_country_risk_category <- function(data, col, country_value) { | ||
| data |> | ||
| select(all_of(c("benchmark", "country", "emission_profile", col))) |> | ||
| distinct() |> | ||
| filter(country == country_value) |> | ||
| mutate(total_mode = sum(.data[[col]], na.rm = TRUE), .by = c("benchmark", "emission_profile")) |> | ||
| mutate(proportion = total_mode / sum(total_mode), .by = c("benchmark")) |> | ||
| select(-all_of(c("total_mode", col))) |> | ||
| distinct() | ||
| } | ||
| avg_equal_weight_per_benchmark_country_risk_category <- avg_per_benchmark_country_risk_category(emission_product_example, "emissions_profile_equal_weight", "france") |> | ||
| rename(avg_equal_weight = "proportion") | ||
| kable(avg_equal_weight_per_benchmark_country_risk_category) | ||
| ``` | ||
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| #### Bar plot | ||
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| ```{r, echo = FALSE, warning=FALSE} | ||
| plot_bar_plot_profile(avg_equal_weight_per_benchmark_country_risk_category, "avg_equal_weight") | ||
| ``` | ||
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| ### Average `emissions_profile_base_case` per benchmark and emission_profile for a country | ||
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| ```{r, warning=FALSE} | ||
| avg_best_case_per_benchmark_country_risk_category <- avg_per_benchmark_country_risk_category(emission_product_example, "emissions_profile_best_case", "france") |> | ||
| rename(avg_best_case = "proportion") | ||
| kable(avg_best_case_per_benchmark_country_risk_category) | ||
| ``` | ||
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| #### Bar plot | ||
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| ```{r, echo = FALSE, warning=FALSE} | ||
| plot_bar_plot_profile(avg_best_case_per_benchmark_country_risk_category, "avg_best_case") | ||
| ``` | ||
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| ### Average `emissions_profile_worst_case` per benchmark and emission_profile for a country | ||
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| ```{r, warning=FALSE} | ||
| avg_worst_case_per_benchmark_country_risk_category <- avg_per_benchmark_country_risk_category(emission_product_example, "emissions_profile_worst_case", "france") |> | ||
| rename(avg_worst_case = "proportion") | ||
| kable(avg_worst_case_per_benchmark_country_risk_category) | ||
| ``` | ||
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| #### Bar plot | ||
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| ```{r, echo = FALSE, warning=FALSE} | ||
| plot_bar_plot_profile(avg_worst_case_per_benchmark_country_risk_category, "avg_worst_case") | ||
| ``` | ||
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| ### Example company-level output of transition risk profile for best case and worst case | ||
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| ```{r, warning=FALSE} | ||
| transition_risk_product_example <- example_transition_risk_product_emission_avg_best_case_worst_case() | ||
| kable(transition_risk_product_example) | ||
| ``` | ||
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| ### Descriptive analysis of `emission_rank_avg_equal_weight` per benchmark | ||
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| ```{r, warning=FALSE} | ||
| emission_rank_avg_per_benchmark <- function(data, col) { | ||
| data |> | ||
| select(all_of(c("companies_id", "grouping_emission", col))) |> | ||
| distinct() |> | ||
| mutate(sum_mode = sum(.data[[col]], na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(distinct_comp = n_distinct(companies_id, na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(average = sum_mode / distinct_comp, .by = "grouping_emission") |> | ||
| mutate(rank_median = median(.data[[col]], na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(rank_25th = quantile(.data[[col]], 0.25, na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(rank_75th = quantile(.data[[col]], 0.75, na.rm = TRUE), .by = "grouping_emission") |> | ||
| select(-all_of(c("sum_mode", col, "companies_id", "distinct_comp"))) |> | ||
| distinct() | ||
| } | ||
| emission_rank_avg_equal_weight_per_benchmark <- emission_rank_avg_per_benchmark(transition_risk_product_example, "emission_rank_avg_equal_weight") |> | ||
| rename("average_emission_rank_avg_equal_weight" = "average", | ||
| "median_emission_rank_avg_equal_weight" = "rank_median", | ||
| "25th_quantile_emission_rank_avg_equal_weight" = "rank_25th", | ||
| "75th_quantile_emission_rank_avg_equal_weight" = "rank_75th") | ||
| kable(emission_rank_avg_equal_weight_per_benchmark) | ||
| ``` | ||
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| ### Descriptive analysis of `emission_rank_avg_best_case` per benchmark | ||
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| ```{r, warning=FALSE} | ||
| emission_rank_avg_best_case_per_benchmark <- emission_rank_avg_per_benchmark(transition_risk_product_example, "emission_rank_avg_best_case") |> | ||
| rename("average_emission_rank_avg_best_case" = "average", | ||
| "median_emission_rank_avg_best_case" = "rank_median", | ||
| "25th_quantile_emission_rank_avg_best_case" = "rank_25th", | ||
| "75th_quantile_emission_rank_avg_best_case" = "rank_75th") | ||
| kable(emission_rank_avg_best_case_per_benchmark) | ||
| ``` | ||
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| ### Descriptive analysis of `emission_rank_avg_worst_case` per benchmark | ||
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| ```{r, warning=FALSE} | ||
| emission_rank_avg_worst_case_per_benchmark <- emission_rank_avg_per_benchmark(transition_risk_product_example, "emission_rank_avg_worst_case") |> | ||
| rename("average_emission_rank_avg_worst_case" = "average", | ||
| "median_emission_rank_avg_worst_case" = "rank_median", | ||
| "25th_quantile_emission_rank_avg_worst_case" = "rank_25th", | ||
| "75th_quantile_emission_rank_avg_worst_case" = "rank_75th") | ||
| kable(emission_rank_avg_worst_case_per_benchmark) | ||
| ``` | ||
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| ### Descriptive analysis of `emission_rank_avg_equal_weight` per benchmark for a country | ||
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| ```{r, warning=FALSE} | ||
| emission_rank_avg_per_benchmark_country <- function(data, col, country_value) { | ||
| data |> | ||
| select(all_of(c("companies_id", "grouping_emission", "country", col))) |> | ||
| distinct() |> | ||
| filter(country == country_value) |> | ||
| mutate(sum_mode = sum(.data[[col]], na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(distinct_comp = n_distinct(companies_id, na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(average = sum_mode / distinct_comp, .by = "grouping_emission") |> | ||
| mutate(rank_median = median(.data[[col]], na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(rank_25th = quantile(.data[[col]], 0.25, na.rm = TRUE), .by = "grouping_emission") |> | ||
| mutate(rank_75th = quantile(.data[[col]], 0.75, na.rm = TRUE), .by = "grouping_emission") |> | ||
| select(-all_of(c("sum_mode", col, "companies_id", "distinct_comp"))) |> | ||
| distinct() | ||
| } | ||
| emission_rank_avg_equal_weight_per_benchmark_country <- emission_rank_avg_per_benchmark_country(transition_risk_product_example, "emission_rank_avg_equal_weight", "france") |> | ||
| rename("average_emission_rank_avg_equal_weight" = "average", | ||
| "median_emission_rank_avg_equal_weight" = "rank_median", | ||
| "25th_quantile_emission_rank_avg_equal_weight" = "rank_25th", | ||
| "75th_quantile_emission_rank_avg_equal_weight" = "rank_75th") | ||
| kable(emission_rank_avg_equal_weight_per_benchmark_country) | ||
| ``` | ||
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| ### Descriptive analysis of `emission_rank_avg_best_case` per benchmark for a country | ||
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| ```{r, warning=FALSE} | ||
| emission_rank_avg_best_case_per_benchmark_country <- emission_rank_avg_per_benchmark_country(transition_risk_product_example, "emission_rank_avg_best_case", "france") |> | ||
| rename("average_emission_rank_avg_best_case" = "average", | ||
| "median_emission_rank_avg_best_case" = "rank_median", | ||
| "25th_quantile_emission_rank_avg_best_case" = "rank_25th", | ||
| "75th_quantile_emission_rank_avg_best_case" = "rank_75th") | ||
| kable(emission_rank_avg_best_case_per_benchmark_country) | ||
| ``` | ||
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| ### Descriptive analysis of `emission_rank_avg_best_case` per benchmark for a country | ||
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| ```{r, warning=FALSE} | ||
| emission_rank_avg_worst_case_per_benchmark_country <- emission_rank_avg_per_benchmark_country(transition_risk_product_example, "emission_rank_avg_worst_case", "france") |> | ||
| rename("average_emission_rank_avg_worst_case" = "average", | ||
| "median_emission_rank_avg_worst_case" = "rank_median", | ||
| "25th_quantile_emission_rank_avg_worst_case" = "rank_25th", | ||
| "75th_quantile_emission_rank_avg_worst_case" = "rank_75th") | ||
| kable(emission_rank_avg_worst_case_per_benchmark_country) | ||
| ``` |