# Load required libraries library(tidyverse) library(leaflet) library(DT) library(here) # Read the data df <- readr::read_delim( here("data/Discrete WQ - 10006.txt"), delim = "|" )
filtered_data <- df %>% filter(ProgramName == "Florida Keys National Marine Sanctuary Water Quality Monitoring Project") %>% filter(ParameterName == "Total Nitrogen")
ggplot(filtered_data, aes(x = OriginalLongitude, y = OriginalLatitude, color = ResultValue)) + geom_point(alpha=0.1, shape=4) + scale_color_gradient(low = "blue", high = "red", limits = c(0, 1)) + theme_minimal()
ggplot(filtered_data, aes(x = ResultValue)) + geom_histogram(bins = 30) + theme_minimal()