karlrohe

library(shiny)
# taken from https://shiny.rstudio.com/tutorial/written-tutorial/lesson3/

# Define UI ----
ui <- fluidPage(
  titlePanel("Basic widgets"),
  
  fluidRow(
    

karlrohe

library(tidyverse)
library(lubridate)

x = read_csv("https://projects.fivethirtyeight.com/trump-approval-data/approval_topline.csv")

x %>% 
  select(subgroup, approve_estimate, disapprove_estimate, timestamp) %>% 
  mutate(spreadd =  disapprove_estimate - approve_estimate) %>% 
  filter(subgroup != "All polls") %>% 
  mutate(date = parse_date_time(timestamp, orders = "H!:M!:S! d! b! Y!")) %>% 

karlrohe

# PCA on n=6990 images of handwritten 2's, each with d = 784 pixels.

# install.packages("remotes")
# remotes::install_github("jlmelville/snedata")
#  thank you jlmelville for making this data so easy to access!
library(snedata)
library(magrittr)
library(Matrix)
library(rARPACK)

karlrohe

library(rARPACK)
library(dplyr)
library(tidyr)
library(RColorBrewer)
library(BatchGetSymbols)


# 4 years of data
first.date <- Sys.Date()-365*4
last.date <- Sys.Date()