@@ -26,7 +26,7 @@ n_hist_years <- df_historical %>%
2626
2727# ## Send by academic year ###
2828
29- df_projected_ay <- read.csv(" ../../target/output-ay .csv" ) %> %
29+ df_projected_ay <- read.csv(" ../../target/Output_AY .csv" ) %> %
3030 select(calendar.year , academic.year , mean )
3131
3232df_historical_ay <- df_historical %> %
@@ -68,7 +68,7 @@ ggsave("../../target/NCY_Population_Trends.pdf")
6868
6969# ## Projected count by setting ###
7070
71- df_projected_set <- read.csv(" ../../target/output-setting .csv" ) %> %
71+ df_projected_set <- read.csv(" ../../target/Output_Setting .csv" ) %> %
7272 select(calendar.year , setting , mean ) %> %
7373 rename(Setting = setting )
7474
@@ -116,7 +116,7 @@ for(i in 1:4) {
116116
117117# ## Projected count by need type ###
118118
119- df_projected_need <- read.csv(" ../../target/output-need .csv" ) %> %
119+ df_projected_need <- read.csv(" ../../target/Output_Need .csv" ) %> %
120120 select(calendar.year , need , mean ) %> %
121121 rename(Need = need )
122122
@@ -144,7 +144,7 @@ ggsave("../../target/Need_Trends.pdf")
144144
145145# ## Projected special setting count ###
146146
147- df_projected_set <- read.csv(" ../../target/output-setting .csv" ) %> %
147+ df_projected_set <- read.csv(" ../../target/Output_Setting .csv" ) %> %
148148 select(calendar.year , setting , mean ) %> %
149149 rename(Setting = setting )
150150
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