From cb92e9345c5b464ad00da59afe1babf55dd748db Mon Sep 17 00:00:00 2001 From: NunoSempere Date: Fri, 9 Dec 2022 00:38:46 +0000 Subject: [PATCH] feat: clean up graphs even more! --- .../20/brief-update-ea-funding/.source/.RData | Bin 173917 -> 173533 bytes .../brief-update-ea-funding/.source/.Rhistory | 944 +++++++++--------- .../.source/analysis.R | 17 +- .../open_philanthropy_grants_lt_labeled.png | Bin 106204 -> 102866 bytes ...ilanthropy_grants_stacked_with_amounts.png | Bin 118467 -> 117306 bytes .../open_philanthropy_plot_with_fortune.png | Bin 138002 -> 139106 bytes ...nthropy_plot_with_fortune_clean_labels.png | Bin 134567 -> 135629 bytes 7 files changed, 488 insertions(+), 473 deletions(-) diff --git a/blog/2022/11/20/brief-update-ea-funding/.source/.RData b/blog/2022/11/20/brief-update-ea-funding/.source/.RData index ad139844b407f3880c82d60f3ee20ff17b390089..67775eaa40c00e44db64091513b9137272e1f8e6 100644 GIT binary patch delta 164146 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zT87Nu(x)FrPFG%&3k&F#-ER2g$QZ{kGqbZnJ`&T7V-q#Gf({H;;UvnWjyl9phmtLH z&Wv?+;kOGSK7VXVcWDWzePb@ID$-MPBy w4AE)O&On_e?CL>WRhV#ZA)ps7e`RjY+AZpaF5D!aA<<_|+h6F%GhO@t01&@Vt^fc4 diff --git a/blog/2022/11/20/brief-update-ea-funding/.source/.Rhistory b/blog/2022/11/20/brief-update-ea-funding/.source/.Rhistory index 69dfaf6..f2702ff 100644 --- a/blog/2022/11/20/brief-update-ea-funding/.source/.Rhistory +++ b/blog/2022/11/20/brief-update-ea-funding/.source/.Rhistory @@ -1,475 +1,18 @@ -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.3, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -getwd() ## Working directory on which the file will be saved. Can be changed with setwd("/your/directory") -height = 5 -width = 5 -ggsave(plot=open_philanthropy_plot, "open_philanthropy_grants_stacked_with_amounts.png", width=width, height=height, bg = "white") -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), ""), colour="white"), size = 2, position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="white", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#D3D3D3", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#C2C2C2", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -getwd() ## Working directory on which the file will be saved. Can be changed with setwd("/your/directory") -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#D3D3D3", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -getwd() ## Working directory on which the file will be saved. Can be changed with setwd("/your/directory") -height = 5 -width = 5 -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"), breaks = c(0:6)*10^8)+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7, hjust = 0.5) -) + -geom_text(aes(label=ifelse(amount > 25e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 1.7, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.2, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot -getwd() ## Working directory on which the file will be saved. Can be changed with setwd("/your/directory") -height = 5 -width = 5 -ggsave(plot=open_philanthropy_plot, "open_philanthropy_grants_stacked_with_amounts.png", width=width, height=height, bg = "white") -open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7) -) + -geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 1.7, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.3, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot_lt -getwd() ## Working directory on which the file will be saved. Can be changed with setwd("/your/directory") -height = 5 -width = 6 -## open_philanthropy_plot_lt -ggsave(plot=open_philanthropy_plot_lt, "open_philanthropy_grants_lt_labeled.png", width=width, height=height, bg = "white") -open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7) -) + -geom_text(aes(fill="#f9f9f9", label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 1.7, position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.3, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot_lt -open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7) -) + -geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 1.7, position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.3, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot_lt -open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ -geom_bar(stat="identity")+ -labs( -title=title_text, -subtitle=subtitle_text, -x=element_blank(), -y=element_blank() -) + -# scale_fill_wsj() + -# scale_fill_tableau(dir =1) + -# scale_fill_tableau(palette, dir=direction) + -# scale_fill_viridis(discrete = TRUE) + -# scale_fill_brewer(palette = "Set2") + -scale_fill_d3( "category20", alpha=0.8) + -# scale_fill_uchicago("dark") + -# scale_fill_startrek() + -scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ -scale_x_continuous(breaks = years)+ -theme_tufte() + -theme( -legend.title = element_blank(), -plot.title = element_text(hjust = 0.5), -plot.subtitle = element_text(hjust = 0.5), -legend.position="bottom", -legend.box="vertical", -axis.text.x=element_text(angle=60, hjust=1), -legend.text=element_text(size=7) -) + -geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 1.7, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + -geom_text( -aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), -stat = 'summary', fun = sum, size=2.3, vjust = -0.5 -) + -guides(fill=guide_legend(nrow=3,byrow=TRUE)) -open_philanthropy_plot_lt +getAmountForYearAreaPair(df3, 2022, "Longtermism") +amounts <- c() +for(i in c(1:dim(df4)[1])){ +amount <- getAmountForYearAreaPair(df3, df4$year[i], df4$area[i]) +amounts <- c(amounts, amount) +} +df4$amount <- amounts +df4$cummulative_amount_for_its_area = sapply(df4$area, function(area) { +return(getAmountForArea(df3, area)) +}) +## Plotting longtermist funding +title_text="Open Philanthropy allocation by year and cause area" +subtitle_text="restricted to longtermism & GCRs" +palette = "Classic Red-Blue" +direction = -1 open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ geom_bar(stat="identity")+ labs( @@ -504,6 +47,463 @@ aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), stat = 'summary', fun = sum, size=2.3, vjust = -0.5 ) + guides(fill=guide_legend(nrow=3,byrow=TRUE)) +open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ +geom_bar(stat="identity")+ +labs( +title=title_text, +subtitle=subtitle_text, +x=element_blank(), +y=element_blank() +) + +# scale_fill_wsj() + +# scale_fill_tableau(dir =1) + +# scale_fill_tableau(palette, dir=direction) + +# scale_fill_viridis(discrete = TRUE) + +# scale_fill_brewer(palette = "Set2") + +scale_fill_d3( "category20", alpha=0.8) + +# scale_fill_uchicago("dark") + +# scale_fill_startrek() + +scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ +scale_x_continuous(breaks = years)+ +theme_tufte() + +theme( +legend.title = element_blank(), +legend.text.align = 0, +plot.title = element_text(hjust = 0.5), +plot.subtitle = element_text(hjust = 0.5), +legend.position="bottom", +legend.box="vertical", +axis.text.x=element_text(angle=60, hjust=1), +legend.text=element_text(size=7) +) + +geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + +geom_text( +aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), +stat = 'summary', fun = sum, size=2.3, vjust = -0.5 +) + +guides(fill=guide_legend(nrow=3,byrow=TRUE)) +open_philanthropy_plot_lt +df3 <- list() +df3$year <- as.vector(sapply(data$Date, getYear)) +df3$amount <- as.vector(sapply(data$Amount, parse_number)) +df3$amount <- ifelse(is.na(df$amount), 0, df$amount) +df3$area <- as.vector(data$Focus.Area) +df3 <- as.data.frame(df3) +df3$area <- as.vector(data$Focus.Area) +## Including Dustin Moskovitz's wealth +coeff <- 10^7*4 +wealth <- c(6, 8, 12, 15, 18, 12, 14, 19, 14) +df2$wealth <- rep(wealth * coeff, num_areas) +make_fortune_plot <- function(show_fortune_legend = FALSE) { +open_philanthropy_plot_with_fortune <- ggplot(data=df2, aes(x=year, y=amount, fill=area, group = cummulative_amount_for_its_area))+ +geom_bar(stat="identity")+ +geom_point( +aes(x=year, y=wealth), size=2, color="darkblue", shape=4, +show.legend=show_fortune_legend +)+ +labs( +title=title_text, +subtitle=subtitle_text, +x=element_blank(), +y=element_blank() +) + +# scale_fill_wsj() + +# scale_fill_tableau(dir =1) + +# scale_fill_tableau(palette, dir=direction) + +# scale_fill_viridis(discrete = TRUE) + +# scale_fill_brewer(palette = "Set2") + +scale_fill_d3( "category20", alpha=0.8) + +# scale_fill_uchicago("dark") + +# scale_fill_startrek() + +scale_y_continuous( +labels = scales::dollar_format(scale = 0.000001, suffix = "M"), +name="OpenPhil donations", +breaks = c(0:5)*10^8, +sec.axis = sec_axis( +~.*1, +name="Dustin Moskovitz's fortune\n(est. Bloomberg)", +breaks = seq(0,20,by=5)*coeff, +labels = c("$0B", "$5B","$10B","$15B", "$20B") +), +limits=c(0,8*10^8) +)+ +scale_x_continuous(breaks = years)+ +theme_tufte() + +theme( +legend.title = element_blank(), +plot.title = element_text(hjust = 0.5), +plot.subtitle = element_text(hjust = 0.5), +legend.position="bottom", +legend.box="vertical", +axis.text.x=element_text(angle=60, hjust=1), +axis.title.y = element_text(vjust=3, hjust=0.25, size=10), +axis.title.y.right = element_text(vjust=3, hjust=0.5, size=10), +legend.text=element_text(size=8) +) + +guides(fill=guide_legend(nrow=4,byrow=TRUE)) +# open_philanthropy_plot_with_fortune +height = 6 +width = 5 +filename = ifelse( +show_fortune_legend, +"open_philanthropy_plot_with_fortune.png", +"open_philanthropy_plot_with_fortune_clean_labels.png" +) +ggsave(plot=open_philanthropy_plot_with_fortune, filename, width=width, height=height, bg = "white") +} +make_fortune_plot(TRUE) +make_fortune_plot(FALSE) +## Look at the different longtermist areas independently. +longtermism <- c("Biosecurity & Pandemic Preparedness", "Potential Risks from Advanced AI", "Science Supporting Biosecurity and Pandemic Preparedness", "Longtermism") +df3 <- list() +df3$year <- as.vector(sapply(data$Date, getYear)) +df3$amount <- as.vector(sapply(data$Amount, parse_number)) +df3$amount <- ifelse(is.na(df$amount), 0, df$amount) +df3$area <- as.vector(data$Focus.Area) +df3 <- as.data.frame(df3) +df3$area <- as.vector(data$Focus.Area) +df3 <- df3 %>% dplyr::filter(area %in% longtermism) +df$area <- ifelse(df3$area %in% ea_growth, "EA Community Building", df$area) +## Group area +df3 +df3$area <- ifelse(df$area %in% pure_longtermism, "Longtermism", df$area) +pure_longtermism = c("Longtermism") +biorisk = c("Biosecurity & Pandemic Preparedness", "Science Supporting Biosecurity and Pandemic Preparedness") +ai_risk = c( "Potential Risks from Advanced AI") +df3$area <- ifelse(df$area %in% pure_longtermism, "Longtermism", df$area) +df3$area <- ifelse(df$area %in% biorisk, "Biosecurity & Pandemic Preparedness", df$area) +df3$area <- ifelse(df$area %in% ai_risk, "Potential Risks from Advanced AI", df$area) +df3 <- list() +df3$year <- as.vector(sapply(data$Date, getYear)) +df3$amount <- as.vector(sapply(data$Amount, parse_number)) +df3$amount <- ifelse(is.na(df$amount), 0, df$amount) +df3$area <- as.vector(data$Focus.Area) +df3 <- as.data.frame(df3) +df3$area <- as.vector(data$Focus.Area) +df3 <- df3 %>% dplyr::filter(area %in% longtermism) +pure_longtermism = c("Longtermism") +biorisk = c("Biosecurity & Pandemic Preparedness", "Science Supporting Biosecurity and Pandemic Preparedness") +ai_risk = c( "Potential Risks from Advanced AI") +df3$area <- ifelse(df$area %in% pure_longtermism, "Longtermism", df$area) +df3$area <- ifelse(df$area %in% biorisk, "Biosecurity & Pandemic Preparedness", df$area) +df3 <- list() +df3$year <- as.vector(sapply(data$Date, getYear)) +df3$amount <- as.vector(sapply(data$Amount, parse_number)) +df3$amount <- ifelse(is.na(df$amount), 0, df$amount) +df3$area <- as.vector(data$Focus.Area) +df3 <- as.data.frame(df3) +df3$area <- as.vector(data$Focus.Area) +df3 <- df3 %>% dplyr::filter(area %in% longtermism) +pure_longtermism = c("Longtermism") +biorisk = c("Biosecurity & Pandemic Preparedness", "Science Supporting Biosecurity and Pandemic Preparedness") +ai_risk = c( "Potential Risks from Advanced AI") +df3$area <- ifelse(df3$area %in% pure_longtermism, "Longtermism", df3$area) +df3$area <- ifelse(df3$area %in% biorisk, "Biosecurity & Pandemic Preparedness", df3$area) +df3$area <- ifelse(df3$area %in% ai_risk, "Potential Risks from Advanced AI", df3$area) +years <- c(2014: 2022) # as.vector(unique(df$year)) +num_years <- length(years) +area_names <- longtermism +num_areas <- length(area_names) +df4 <- list() +df4$area <- sort(rep(area_names, num_years)) +df4$year <- rep(years, num_areas) +df4 <- as.data.frame(df4) +# View(df4) +getAmountForYearAreaPair(df3, 2022, "Longtermism") +amounts <- c() +for(i in c(1:dim(df4)[1])){ +amount <- getAmountForYearAreaPair(df3, df4$year[i], df4$area[i]) +amounts <- c(amounts, amount) +} +df4$amount <- amounts +df4$cummulative_amount_for_its_area = sapply(df4$area, function(area) { +return(getAmountForArea(df3, area)) +}) +## Plotting longtermist funding +title_text="Open Philanthropy allocation by year and cause area" +subtitle_text="restricted to longtermism & GCRs" +palette = "Classic Red-Blue" +direction = -1 +open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ +geom_bar(stat="identity")+ +labs( +title=title_text, +subtitle=subtitle_text, +x=element_blank(), +y=element_blank() +) + +# scale_fill_wsj() + +# scale_fill_tableau(dir =1) + +# scale_fill_tableau(palette, dir=direction) + +# scale_fill_viridis(discrete = TRUE) + +# scale_fill_brewer(palette = "Set2") + +scale_fill_d3( "category20", alpha=0.8) + +# scale_fill_uchicago("dark") + +# scale_fill_startrek() + +scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ +scale_x_continuous(breaks = years)+ +theme_tufte() + +theme( +legend.title = element_blank(), +legend.text.align = 0, +plot.title = element_text(hjust = 0.5), +plot.subtitle = element_text(hjust = 0.5), +legend.position="bottom", +legend.box="vertical", +axis.text.x=element_text(angle=60, hjust=1), +legend.text=element_text(size=7) +) + +geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + +geom_text( +aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), +stat = 'summary', fun = sum, size=2.3, vjust = -0.5 +) + +guides(fill=guide_legend(nrow=3,byrow=TRUE)) +open_philanthropy_plot_lt +longtermism_labels = c(pure_longtermism, biorisk, ai_risk) +open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ +geom_bar(stat="identity")+ +labs( +title=title_text, +subtitle=subtitle_text, +x=element_blank(), +y=element_blank() +) + +# scale_fill_wsj() + +# scale_fill_tableau(dir =1) + +# scale_fill_tableau(palette, dir=direction) + +# scale_fill_viridis(discrete = TRUE) + +# scale_fill_brewer(palette = "Set2") + +scale_fill_d3( "category20", alpha=0.8) + +# scale_fill_uchicago("dark") + +# scale_fill_startrek() + +scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ +scale_x_continuous(breaks = years)+ +theme_tufte() + +theme( +legend.title = element_blank(), +legend.text.align = 0, +plot.title = element_text(hjust = 0.5), +plot.subtitle = element_text(hjust = 0.5), +legend.position="bottom", +legend.box="vertical", +axis.text.x=element_text(angle=60, hjust=1), +legend.text=element_text(size=7) +) + +geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + +geom_text( +aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), +stat = 'summary', fun = sum, size=2.3, vjust = -0.5 +) + +guides(fill=guide_legend(nrow=3,byrow=TRUE)) +years <- c(2014: 2022) # as.vector(unique(df$year)) +num_years <- length(years) +area_names <- longtermism_labels +num_areas <- length(area_names) +df4 <- list() +df4$area <- sort(rep(area_names, num_years)) +df4$year <- rep(years, num_areas) +df4 <- as.data.frame(df4) +# View(df4) +getAmountForYearAreaPair(df3, 2022, "Longtermism") +amounts <- c() +for(i in c(1:dim(df4)[1])){ +amount <- getAmountForYearAreaPair(df3, df4$year[i], df4$area[i]) +amounts <- c(amounts, amount) +} +df4$amount <- amounts +df4$cummulative_amount_for_its_area = sapply(df4$area, function(area) { +return(getAmountForArea(df3, area)) +}) +## Plotting longtermist funding +title_text="Open Philanthropy allocation by year and cause area" +subtitle_text="restricted to longtermism & GCRs" +palette = "Classic Red-Blue" +direction = -1 +open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ +geom_bar(stat="identity")+ +labs( +title=title_text, +subtitle=subtitle_text, +x=element_blank(), +y=element_blank() +) + +# scale_fill_wsj() + +# scale_fill_tableau(dir =1) + +# scale_fill_tableau(palette, dir=direction) + +# scale_fill_viridis(discrete = TRUE) + +# scale_fill_brewer(palette = "Set2") + +scale_fill_d3( "category20", alpha=0.8) + +# scale_fill_uchicago("dark") + +# scale_fill_startrek() + +scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ +scale_x_continuous(breaks = years)+ +theme_tufte() + +theme( +legend.title = element_blank(), +legend.text.align = 0, +plot.title = element_text(hjust = 0.5), +plot.subtitle = element_text(hjust = 0.5), +legend.position="bottom", +legend.box="vertical", +axis.text.x=element_text(angle=60, hjust=1), +legend.text=element_text(size=7) +) + +geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + +geom_text( +aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), +stat = 'summary', fun = sum, size=2.3, vjust = -0.5 +) + +guides(fill=guide_legend(nrow=3,byrow=TRUE)) +open_philanthropy_plot_lt +## Look at the different longtermist areas independently. +longtermism <- c("Biosecurity & Pandemic Preparedness", "Potential Risks from Advanced AI", "Science Supporting Biosecurity and Pandemic Preparedness", "Longtermism") +df3 <- list() +df3$year <- as.vector(sapply(data$Date, getYear)) +df3$amount <- as.vector(sapply(data$Amount, parse_number)) +df3$amount <- ifelse(is.na(df$amount), 0, df$amount) +df3$area <- as.vector(data$Focus.Area) +df3 <- as.data.frame(df3) +df3$area <- as.vector(data$Focus.Area) +df3 <- df3 %>% dplyr::filter(area %in% longtermism) +pure_longtermism = c("Longtermism") +biorisk = c("Biosecurity & Pandemic Preparedness", "Science Supporting Biosecurity and Pandemic Preparedness") +ai_risk = c( "Potential Risks from Advanced AI") +longtermism_labels = c(pure_longtermism, biorisk, ai_risk) +df3$area <- ifelse(df3$area %in% pure_longtermism, "Longtermism", df3$area) +df3$area <- ifelse(df3$area %in% biorisk, "Biosecurity & Pandemic Preparedness", df3$area) +df3$area <- ifelse(df3$area %in% ai_risk, "Potential Risks from Advanced AI", df3$area) +years <- c(2014: 2022) # as.vector(unique(df$year)) +num_years <- length(years) +area_names <- longtermism_labels +num_areas <- length(area_names) +df4 <- list() +df4$area <- sort(rep(area_names, num_years)) +df4$year <- rep(years, num_areas) +df4 <- as.data.frame(df4) +# View(df4) +getAmountForYearAreaPair(df3, 2022, "Longtermism") +amounts <- c() +for(i in c(1:dim(df4)[1])){ +amount <- getAmountForYearAreaPair(df3, df4$year[i], df4$area[i]) +amounts <- c(amounts, amount) +} +df4$amount <- amounts +df4$cummulative_amount_for_its_area = sapply(df4$area, function(area) { +return(getAmountForArea(df3, area)) +}) +## Plotting longtermist funding +title_text="Open Philanthropy allocation by year and cause area" +subtitle_text="restricted to longtermism & GCRs" +palette = "Classic Red-Blue" +direction = -1 +open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ +geom_bar(stat="identity")+ +labs( +title=title_text, +subtitle=subtitle_text, +x=element_blank(), +y=element_blank() +) + +# scale_fill_wsj() + +# scale_fill_tableau(dir =1) + +# scale_fill_tableau(palette, dir=direction) + +# scale_fill_viridis(discrete = TRUE) + +# scale_fill_brewer(palette = "Set2") + +scale_fill_d3( "category20", alpha=0.8) + +# scale_fill_uchicago("dark") + +# scale_fill_startrek() + +scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ +scale_x_continuous(breaks = years)+ +theme_tufte() + +theme( +legend.title = element_blank(), +legend.text.align = 0, +plot.title = element_text(hjust = 0.5), +plot.subtitle = element_text(hjust = 0.5), +legend.position="bottom", +legend.box="vertical", +axis.text.x=element_text(angle=60, hjust=1), +legend.text=element_text(size=7) +) + +geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + +geom_text( +aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), +stat = 'summary', fun = sum, size=2.3, vjust = -0.5 +) + +guides(fill=guide_legend(nrow=3,byrow=TRUE)) +open_philanthropy_plot_lt +View(df4) +df4 <- list() +df4$area <- sort(rep(area_names, num_years)) +df4 <- list() +df4$area <- sort(rep(area_names, num_years)) +df4$area +longtermism_labels +longtermism_labels = c(pure_longtermism, "Biosecurity & Pandemic Preparedness", ai_risk) +df3$area <- ifelse(df3$area %in% pure_longtermism, "Longtermism", df3$area) +df3$area <- ifelse(df3$area %in% biorisk, "Biosecurity & Pandemic Preparedness", df3$area) +df3$area <- ifelse(df3$area %in% ai_risk, "Potential Risks from Advanced AI", df3$area) +years <- c(2014: 2022) # as.vector(unique(df$year)) +num_years <- length(years) +area_names <- longtermism_labels +num_areas <- length(area_names) +df4 <- list() +df4$area <- sort(rep(area_names, num_years)) +df4$year <- rep(years, num_areas) +df4 <- as.data.frame(df4) +# View(df4) +getAmountForYearAreaPair(df3, 2022, "Longtermism") +amounts <- c() +for(i in c(1:dim(df4)[1])){ +amount <- getAmountForYearAreaPair(df3, df4$year[i], df4$area[i]) +amounts <- c(amounts, amount) +} +df4$amount <- amounts +df4$cummulative_amount_for_its_area = sapply(df4$area, function(area) { +return(getAmountForArea(df3, area)) +}) +View(df4) +## Plotting longtermist funding +title_text="Open Philanthropy allocation by year and cause area" +subtitle_text="restricted to longtermism & GCRs" +palette = "Classic Red-Blue" +direction = -1 +open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, group=cummulative_amount_for_its_area))+ +geom_bar(stat="identity")+ +labs( +title=title_text, +subtitle=subtitle_text, +x=element_blank(), +y=element_blank() +) + +# scale_fill_wsj() + +# scale_fill_tableau(dir =1) + +# scale_fill_tableau(palette, dir=direction) + +# scale_fill_viridis(discrete = TRUE) + +# scale_fill_brewer(palette = "Set2") + +scale_fill_d3( "category20", alpha=0.8) + +# scale_fill_uchicago("dark") + +# scale_fill_startrek() + +scale_y_continuous(labels = scales::dollar_format(scale = 0.000001, suffix = "M"))+ +scale_x_continuous(breaks = years)+ +theme_tufte() + +theme( +legend.title = element_blank(), +legend.text.align = 0, +plot.title = element_text(hjust = 0.5), +plot.subtitle = element_text(hjust = 0.5), +legend.position="bottom", +legend.box="vertical", +axis.text.x=element_text(angle=60, hjust=1), +legend.text=element_text(size=7) +) + +geom_text(aes(label=ifelse(amount > 5e6, paste0(round(amount / 1e6, 0), "M"), "")), size = 2, colour="#f9f9f9", position = position_stack(vjust = 0.5)) + +geom_text( +aes(label = paste0(round(after_stat(y) / 1e6, 0), "M"), group = year), +stat = 'summary', fun = sum, size=2.3, vjust = -0.5 +) + +guides(fill=guide_legend(nrow=3,byrow=TRUE)) open_philanthropy_plot_lt getwd() ## Working directory on which the file will be saved. Can be changed with setwd("/your/directory") height = 5 diff --git a/blog/2022/11/20/brief-update-ea-funding/.source/analysis.R b/blog/2022/11/20/brief-update-ea-funding/.source/analysis.R index e27e7f6..edc0746 100644 --- a/blog/2022/11/20/brief-update-ea-funding/.source/analysis.R +++ b/blog/2022/11/20/brief-update-ea-funding/.source/analysis.R @@ -122,6 +122,7 @@ open_philanthropy_plot <- ggplot(data=df2, aes(x=year, y=amount, fill=area, grou theme_tufte() + theme( legend.title = element_blank(), + legend.text.align = 0, plot.title = element_text(hjust = 0.5), plot.subtitle = element_text(hjust = 0.5), legend.position="bottom", @@ -224,9 +225,20 @@ df3$area <- as.vector(data$Focus.Area) df3 <- df3 %>% dplyr::filter(area %in% longtermism) # View(df3) +## Group area + +pure_longtermism = c("Longtermism") +biorisk = c("Biosecurity & Pandemic Preparedness", "Science Supporting Biosecurity and Pandemic Preparedness") +ai_risk = c( "Potential Risks from Advanced AI") +longtermism_labels = c(pure_longtermism, "Biosecurity & Pandemic Preparedness", ai_risk) + +df3$area <- ifelse(df3$area %in% pure_longtermism, "Longtermism", df3$area) +df3$area <- ifelse(df3$area %in% biorisk, "Biosecurity & Pandemic Preparedness", df3$area) +df3$area <- ifelse(df3$area %in% ai_risk, "Potential Risks from Advanced AI", df3$area) + years <- c(2014: 2022) # as.vector(unique(df$year)) num_years <- length(years) -area_names <- longtermism +area_names <- longtermism_labels num_areas <- length(area_names) df4 <- list() @@ -245,6 +257,8 @@ df4$amount <- amounts df4$cummulative_amount_for_its_area = sapply(df4$area, function(area) { return(getAmountForArea(df3, area)) }) +View(df4) + ## Plotting longtermist funding title_text="Open Philanthropy allocation by year and cause area" subtitle_text="restricted to longtermism & GCRs" @@ -272,6 +286,7 @@ open_philanthropy_plot_lt <- ggplot(data=df4, aes(x=year, y=amount, fill=area, g theme_tufte() + theme( legend.title = element_blank(), + 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