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library(dplyr) | |
library(ggplot2) | |
library(tidytext) | |
library(tm) | |
library(wordcloud) | |
# input: a dataframe called raw, in this case the text col is biggest_concern, and X is the ID col |
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base <- knitr::kable(final ,"latex", booktabs = T, longtable = T, align = c("l", "r", "r", "r", "r", "r")) | |
plott <- base %>% | |
kableExtra::kable_styling( | |
latex_options = c("scale_down"), |
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pandoc -s -o book/final_book.md src/*.md --toc --standalone |
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|
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select * from dual |
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library(RSelenium) | |
library(tidyverse) | |
# RSELENIUM INSTALL ISSUES #### | |
# If you have difficulty installing RSelenium from CRAN, try installing with Devtools: | |
# install.packages("devtools") | |
# devtools::install_github("johndharrison/binman") | |
# devtools::install_github("johndharrison/wdman") | |
# devtools::install_github("ropensci/RSelenium") |
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using Cascadia, Gumbo, HTTP | |
r = HTTP.get("http://stackoverflow.com/questions/tagged/julia-lang", require_ssl_verification = false) | |
h = parsehtml(String(r.body)) | |
qs = eachmatch(Selector(".question-summary"),h.root) | |
println("StackOverflow Julia Questions (votes answered? url)") |
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library(sf) | |
library(tidyverse) | |
library(tidyUSDA) | |
library(leaflet) | |
# Make some random lon lat coord pairs ------------------------------------ |
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save(branches, file = "data/branches.RData") |
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branches <- read.csv("O:\\exchange\\branches.csv", header = T) |
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