Public
Edited
Oct 13, 2022
1 fork
1 star
Insert cell
Insert cell
toc()
Insert cell
Insert cell
Insert cell
Insert cell
run = runGen(project)
Insert cell
Insert cell
Insert cell
Insert cell
sections = ["Probability of scenarios in absence of philanthropic funding", "Expected change in amount of funding spent on SMC by non-philanthropic actors in absence of philanthropic funding"]
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
cell(`plot_param("ratio_of_indirect_malaria_deaths_per_direct_malaria_death")`, country_params)
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
cell(`plot_all(malaria_attributable_deaths_averted_in_untreated_population_after_adjustments)`, [malaria_attributable_deaths_averted_in_untreated_population_after_adjustments, country_params])
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
viewof initial_cost_effectiveness_estimate_in_multiples_of_cash_transfers = cell(`givewell_units_of_value_generated_per_philanthropic_dollar_spent_after_accounting_for_all_adjustments = 0.0034
initial_cost_effectiveness_estimate_in_multiples_of_cash_transfers(x) = units_of_value_generated_per_dollar_spent_initial(x) / givewell_units_of_value_generated_per_philanthropic_dollar_spent_after_accounting_for_all_adjustments
plot_all(initial_cost_effectiveness_estimate_in_multiples_of_cash_transfers)`, [units_of_value_generated_per_dollar_spent_initial, country_params])
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
viewof units_of_value_generated_per_dollar_spent_before_accounting_for_leverage_or_funging = cell(`total_units_of_value_generated_before_accounting_for_leverage_or_funging(x) = total_units_of_value_generated_charity_adjustments(x) * total_adjustment_factor_intervention_adjustments(x)
units_of_value_generated_per_dollar_spent_before_accounting_for_leverage_or_funging(x) = total_units_of_value_generated_before_accounting_for_leverage_or_funging(x) / total_spending_all_contributors(x)
plot_all(units_of_value_generated_per_dollar_spent_before_accounting_for_leverage_or_funging)`, [cost_effectiveness_in_multiples_of_cash_transfers_after_supplemental_charity_level_adjustments, total_adjustment_factor_intervention_adjustments, total_spending_all_contributors, country_params])
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
formatRec = x => {
if(x.tag === "Ok"){
return x.value.value.entries().map(([k, v]) => `${k}: ${v}`).join(", ")
}
else{
return `${x.value}`
}
}
Insert cell
Insert cell
run(`show_param("percentage_of_total_cost_covered_by_malaria_consortium")`, country_params)
Insert cell

Purpose-built for displays of data

Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
Learn more