library(rsconnect)
library(shiny)
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## Attaching package: 'shiny'
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##     serverInfo
library(shinydashboard)
## 
## Attaching package: 'shinydashboard'
## The following object is masked from 'package:graphics':
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##     box
library(plotly)
## Loading required package: ggplot2
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
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##     last_plot
## The following object is masked from 'package:stats':
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library(ggplot2)
library(flexdashboard)
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## Attaching package: 'flexdashboard'
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About me

I am Alex and very new to R. I am learning it as part of my studies at UTS, where I’m doing a Masters in Data Science and Innovation. I think I was in denial about how hard the ‘data science’ bit was going to be … which is why I am at R-ladies.

#I really should put up a blue post it note, because I can't download the soap data.I will use some election data instead. I know this means I am breaking the rules. C'est la vie.
Election_results <-read.csv('elec_result_PC.csv')
View(Election_results)

Now what?

#now that's a plot I don't understand
plot(Election_results)