edited school_maps to correct color bug)
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07bc51e525
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6 changed files with 53 additions and 15 deletions
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@ -53,6 +53,8 @@ injury_severity <- data.frame(InjSevName = c("Injury severity unknown", "No appa
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code = c(NA, "O", "C", "B", "A", "K"),
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color = c("grey", "#fafa6e", "#edc346", "#d88d2d", "#bd5721", "#9b1c1c"))
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injury_severity_pal <- colorFactor(palette = injury_severity$color, levels = injury_severity$InjSevName)
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TOPS_data <- left_join(TOPS_data, injury_severity %>% select(InjSevName, code), join_by(INJSVR1 == code)) %>%
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mutate(InjSevName = factor(InjSevName, levels = injury_severity$InjSevName)) %>%
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rename(InjSevName1 = InjSevName)
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@ -146,10 +148,10 @@ school_symbol <- image_read_svg(path = "other/school_FILL0_wght400_GRAD0_opsz24.
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county_focus <- c("DANE")
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#school_type_focus <- unique(WI_schools %>% filter(CTY_DIST %in% str_to_title(county_focus)) %>% pull(SCHOOLTYPE))
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school_type_focus <- c("High School")
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school_type_focus <- c("Elementary School")
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#district_focus <- unique(WI_schools %>% filter(CTY_DIST %in% str_to_title(county_focus), SCHOOLTYPE %in% school_type_focus, !is.na(DISTRICT_NAME)) %>% pull(DISTRICT_NAME))
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district_focus <- c("Monona Grove")
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district_focus <- c("Madison Metropolitan")
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school_number <- length(unique(WI_schools %>% filter(CTY_DIST %in% str_to_title(county_focus),
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SCHOOLTYPE %in% school_type_focus,
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@ -359,7 +361,7 @@ for(district in district_focus) {
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fill = ped_inj_name),
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shape = 23,
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size = 3) +
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scale_fill_manual(values = injury_severity$color, name = "Crash Severity") +
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scale_fill_manual(values = injury_severity_pal(injury_severity$color), name = "Crash Severity") +
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# add walk boundary
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new_scale_color() +
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new_scale_fill() +
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