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# data source: http://web.mta.info/developers/turnstile.html | |
library(ggplot2) | |
library(dplyr) | |
library(tidyr) | |
library(readr) | |
# define read function with schema ---- | |
read_data <- function(url) { | |
readr::read_csv(url, |
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# load packages ---- | |
library(RSocrata) | |
library(tidycensus) | |
library(dplyr) | |
library(mapview) | |
library(leaflet) | |
library(sp) | |
# read & wrangle turnstile data ---- | |
stations <- read.socrata("https://data.cityofchicago.org/resource/8pix-ypme.json") |
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<html> | |
<body> | |
<style> | |
li { | |
color: gray; | |
} | |
.last-highlight>li:last-of-type { | |
color: black; | |
} |
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library(ggplot2) | |
# sample data for plot ---- | |
points <- | |
data.frame( | |
x = rep(1:10,3), | |
y = rep(1:10,3), | |
z = sort(rep(letters[1:2], 15)), | |
w = rep(letters[3:4], 15) | |
) | |
# ggplot using many theme options ---- |
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--- | |
title: "Untitled" | |
author: "Emily Riederer" | |
date: "5/15/2019" | |
output: html_document | |
--- | |
```{r} | |
# dummy data | |
data <- data.frame( |
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library(testthat) | |
# define code chunks ---- | |
scss <- c("$font-stack: Helvetica, sans-serif;", "$primary-color: #333;", | |
"", "body {", " font: 100% $font-stack;", " color: $primary-color;", | |
"}") | |
sass <- c("$font-stack: Helvetica, sans-serif", "$primary-color: #333", | |
"", "body", " font: 100% $font-stack", " color: $primary-color") | |
output_compressed <- '<style type=\"text/css\">\nbody{font:100% Helvetica,sans-serif;color:#333}\n</style>\n' |