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polls_dash.Rmd
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polls_dash.Rmd
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---
title: "Polls dashboard"
author: "Matt Bixley and Murray Cadzow"
output:
flexdashboard::flex_dashboard:
orientation: rows
source_code: embed
---
```{r setup, include=FALSE}
# get required packages
check_package <- function(x){
for( i in x ){
# require returns TRUE invisibly if it was able to load package
if( ! require( i , character.only = TRUE ) ){
# If package was not able to be loaded then re-install
install.packages( i , dependencies = TRUE )
# Load package after installing
require( i , character.only = TRUE )
}
}
}
check_package(c("tidyverse", "lubridate", "flexdashboard", "manipulate"))
# library(tidyverse)
# library(lubridate)
# library(flexdashboard)
# library(manipulate)
poll <- read.table(file="polls.csv",header=T,sep=",")
shape <- c(18,11,15,3,1,17,16) # 7 poll types
# Other at line 101 is Listener and at 108 is Horizon
### make the plot data to long table first
pollplot <- poll %>% mutate(GL=Labour + Green, NACT = National + Act, Date = ymd(paste(Year, Month, 15,sep = '-'))) %>% select(-Order,-Year,-Month) %>% select(Poll,Date, everything()) %>% gather(.,Date, Poll, 3:NCOL(.) )
colnames(pollplot) <- c("Poll","Date","Party","Value")
```
Poll Day
===================================================
Column {data-width=600}
-------------------------------------
### Without Winston
How the major parties are trending
```{r, fig.width=10,fig.height=8.9}
# GL + N + W
pollplot %>% filter(Party %in% c("National","Green","Labour","NZFirst")) %>%
ggplot(.,aes(x=Date,y=Value,colour=Party)) +
geom_point(position = position_jitter(width=5, height=0.0),aes(shape=Poll,size=1.5),alpha=0.5) +
scale_shape_manual(values=shape) +
#stat_smooth(formula = y ~ poly(x,3), method="glm", level = 0.99,size=1,aes(weight=Date)) +
geom_smooth(method="loess",span = 0.2, size=1,level = 0.99) +
scale_y_continuous(name="Percent of the Vote",breaks=seq(0,60,5)) +
scale_color_manual(values=c("green","red","blue", "black")) +
theme(axis.text.x = element_text(angle = 45, hjust = 0.6)) +
labs( x = "Polling Date",title ="Going to The Polls", subtitle = "Guessing the Election",
caption = "Who does Winston 1st Choose") +
theme(plot.subtitle = element_text(size = 15), plot.caption = element_text(size = 15),
axis.title = element_text(size = 15), plot.title = element_text(size = 20))
```
Column {data-width=600}
-------------------------------------
### With Winston
What it looks like if we combine Winston 1st with both National and the Labour/Green Block.
**NB:** from August 2017 ACT fixed at 0.7% the approximate value for 1 Seat.
```{r, fig.width=10,fig.height=8.9}
## With Winston
pollplot %>% filter(Party %in% c('NACT',"GL")) %>% left_join(., pollplot %>% filter(Party == "NZFirst"), by = c('Poll',"Date")) %>% mutate(Party = paste0(Party.x,"_" ,Party.y), Value = Value.x + Value.y) %>%
ggplot(data=. ,aes(x=Date,y=Value,colour=Party)) +
scale_y_continuous(name="Percent of the Vote",breaks=seq(0,65,5)) +
geom_hline(aes(yintercept=49), colour="black", linetype="dashed",size=1.5)+
#stat_smooth(formula = y ~ poly(x,3), method="glm", size=1,aes(weight=Date),level = 0.99) +
geom_smooth(span = 0.3, size=1,level = 0.99) +
geom_point(position = position_jitter(width=5, height=0.0),aes(shape=Poll,size=1.5),alpha=0.5) +
scale_shape_manual(values=shape) +
scale_color_manual(values=c("brown","blue")) +
theme(axis.text.x = element_text(angle = 45, hjust = 0.6)) +
labs( x = "Polling Date",title ="Going to The Polls", subtitle = "With Winston") +
theme(plot.subtitle = element_text(size = 15), plot.caption = element_text(size = 15),
axis.title = element_text(size = 15), plot.title = element_text(size = 20))
```
All Parties
==================================================
Column {data-width=400}
-------------------------------------
### The Changing Vote
```{r, include = FALSE}
library(animation)
for (date in unique(pollplot$Date) ) {
p <- pollplot %>% filter(Party %in% c("National","Green","Labour","NZFirst")) %>% filter(Date == date) %>% group_by(Party) %>% summarise(meanValue = mean(Value, na.rm=TRUE)) %>% ggplot(.,aes(x = Party, y=meanValue,fill=Party)) + geom_bar( stat = "identity") + scale_fill_manual(values=c("green","red","blue", "black")) + ylim(c(0,55)) + ggtitle(as_date(date)) +
theme(plot.title = element_text(size = 40, face = "bold"))
plot(p)
ani.record() # record the current frame
}
date <- pollplot$Date[nrow(pollplot)]
p <- pollplot %>% filter(Party %in% c("National","Green","Labour","NZFirst")) %>% filter(Date == date) %>% group_by(Party) %>% summarise(meanValue = mean(Value, na.rm=TRUE)) %>% ggplot(.,aes(x = Party, y=meanValue,fill=Party)) + geom_bar( stat = "identity") + scale_fill_manual(values=c("green","red","blue", "black")) + ylim(c(0,55)) + ggtitle(as_date(date)) +
theme(plot.title = element_text(size = 40, face = "bold"))
for(i in 1:5){ plot(p)
ani.record() # record the current frame
}
oopts = ani.options(interval = 1.0)
saveGIF(expr = ani.replay(), movie.name = "record_plot.gif" )
```
Column {data-width=600}
-------------------------------------
### Major parties
```{r, fig.width = 10}
pollplot %>% filter(Party %in% c("National","Green","Labour","NZFirst")) %>% group_by(Date,Party) %>%
summarise(meanValue = mean(Value, na.rm=TRUE)) %>% ggplot(.,aes(x=Date,y=meanValue,colour=Party)) +
geom_line(alpha=0.7,size=1.5) +
scale_shape_manual(values=shape) +
#stat_smooth(formula = y ~ poly(x,5), method="glm", level = 0.99,size=1,aes(weight=Date)) +
scale_y_continuous(name="Mean Poll Percent of the Vote",breaks=seq(0,60,5)) +
scale_color_manual(values=c("green","red","blue", "black")) +
theme(axis.text.x = element_text(angle = 45, hjust = 0.6)) +
labs( x = "Polling Date",title ="Major Parties") +
theme(plot.subtitle = element_text(size = 15), plot.caption = element_text(size = 15),
axis.title = element_text(size = 15), plot.title = element_text(size = 20)) + geom_hline(yintercept = 50) + theme_bw()
```
### Minor parties
```{r, fig.width=10}
pollplot %>% filter(!Party %in% c("NACT","National","Green","Labour","NZFirst","GL")) %>% group_by(Date,Party) %>%
summarise(meanValue = mean(Value, na.rm=TRUE)) %>% ggplot(.,aes(x=Date,y=meanValue,colour=Party)) +
geom_line(alpha=0.7,size=1.5) +
scale_shape_manual(values=shape) +
scale_y_continuous(name="Mean Poll Percent of the Vote",breaks=seq(0,60,5)) +
scale_color_manual(values=c("yellow","lightblue","blue", "black","red","purple")) +
theme(axis.text.x = element_text(angle = 45, hjust = 0.6)) +
labs( x = "Polling Date",title ="Minor Parties") +
theme(plot.subtitle = element_text(size = 15), plot.caption = element_text(size = 15),
axis.title = element_text(size = 15), plot.title = element_text(size = 20)) + theme_bw()
```