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library(tidyverse)
library(sf)

# import shapefile and extract Massachusetts
usa <- st_read("cb_2013_us_state_20m/cb_2013_us_state_20m.shp")
mass <- usa %>% 
  filter(NAME == "Massachusetts")

# identify city locations
cities <- tribble(

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library(tidyverse)
library(tidytext)
library(tm)

set.seed(123) # random number generator seed

# get USCongress data
data(USCongress, package = "RTextTools")
congress <- as_tibble(USCongress) %>%
  mutate(text = as.character(text))

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###### code to run on RStudio cloud project
pkg_cran <- c("reprex", "tidyverse", "sf", "tidycensus", "viridis", "knitr",
              "gapminder", "forcats", "broom", "wordcloud", "tidytext", "rebird",
              "geonames", "modelr", "rsample", "magrittr", "ISLR", "titanic",
              "microbenchmark", "partykit", "caret", "nycflights13", "ggplot2",
              "tibble", "harrypotter", "ggwordcloud", "here", "arrow", "readxl",
              "haven", "ggmap", "rnaturalearth", "rtweet", "leaflet", "stringr",
              "widgetframe", "RColorBrewer", "patchwork", "ymlthis", "RSocrata",
              "dplyr", "shiny", "httr", "repurrrsive", "purrr", "acs", "downloader",
              "statebins", "rsparkling", "sparklyr", "h2o", "dbplyr", "bigrquery",

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## cm004_tidy_tutorial.R
## Benjamin Soltoff
## Practice tidying data

# load libraries
library(dplyr)
library(tidyr)

# racial data
race <- read.table(header = TRUE, check.names = FALSE, text = "

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# cm003_scorecard_practice.R
# Benjamin Soltoff
# Practice transforming and exploring data using the Department
# of Education's College Scorecard data set for 2013

# load necessary libraries
library(dplyr)
library(ggplot2)

# get dataset from rcfss library

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Value of a Timeout

Benjamin Soltoff
January 14, 2016

# load packages
require(dplyr)