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title	output
Simple SQL and dplyr	html_document keep_md true

Load Packages

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library(tidyverse)

# Functions ---------------------------------------------------------------

eval_funcs <- function(x){
  cat(x,"\n")
  if(grepl("hy_", x)){
    return(names(eval(parse(text = paste0(x,"(hydat_path = hy_test_db())")))))
  }
  if(grepl("realtime_",x)){

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# Packages ----------------------------------------------------------------

library(sf)
library(dplyr)
library(tidyhydat)
library(readr)
library(ggplot2)
library(here)
library(raster)

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library(tidyverse)
library(sf)
library(tidyhydat)
library(bcmaps)

## Say get Thompson District
nr_district_to <- st_as_sf(nr_districts) %>%
  filter(REG_ORG_UN == "Thompson-Okanagan Natural Resource Region")

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Correlation Network Plots by Groups

Packages

To run this you will need the following packages:

library(corrr)