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test.Rmd
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---
title: "Geocoding from UC Davis Pavillion"
author: Last updated, `r format(Sys.Date(), "%B %d, %Y")`
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
theme: readable
social: menu
source_code: embed
runtime: shiny
---
```{r,inlcude=FALSE,warning=FALSE,message=FALSE, warning=FALSE, r,inlcude=FALSE}
knitr::opts_chunk$set(echo = T)
knitr::opts_chunk$set(message = F)
knitr::opts_chunk$set(warning = F)
library(ggplot2)
library(tidyverse)
library(plotly)
#install.packages('devtools')
#devtools::install_github("michaeldorman/mapsapi")
#devtools::install_github("dkahle/ggmap")
library(mapsapi)
library(ggmap)
library(maps)
library(mapproj)
library(leaflet)
library(shiny)
library(rsconnect)
library(dplyr)
library(astsa)
library(tseries)
library(zoo)
require(graphics)
library(forecast)
library(lubridate)
library(TSstudio)
```
Sidebar {.sidebar data-width=400}
======================================================================
```{r, echo=FALSE}
# getwd() = "/Users/christopherton/Documents/HackDavis20"
fileInput("file", "Choose a CSV File", multiple = TRUE, accept = c("text/csv",
"text/comma-separated-values,text/plain", ".csv"))
helpText("Upload a .csv of usage results for one building. Your file should have a column named \"Date Time\", \"Chilled Water\", and \"Electricity Steam\".")
#Input: Select number of rows to display ----
radioButtons("disp", "Display",
choices = c(Head = "head",
All = "all"),
selected = "head")
actionButton("recalc", "GO")
p()
```
```{r,echo=FALSE}
renderTable({
req(input$file)
usage <- read.csv(input$file$datapath)
if(input$disp == "head"){
return(head(usage))
}else{
return(usage)
}
})
```
General Overview
============================================================================
Row {data-height=700}
-----------------------------------------------------------------------
```{r, echo = FALSE}
p = renderPlotly({
req(input$file)
df = input$file$datapath
if (grepl('class', input$file$name) == TRUE)
{
plot_ly(read.csv(df), x = ~Date) %>%
add_lines(y = ~Chilled_water, name = 'Chilled Water') %>%
add_lines(y = ~Electricity, name = 'Electricity') %>%
add_lines(y = ~Steam, name = 'Steam') %>%
layout(
title = "Energy Usage",
xaxis = list(
rangeselector = list(
buttons = list(
list(
count = 3,
label = "3 mo",
step = "month",
stepmode = "backward"),
list(
count = 6,
label = "6 mo",
step = "month",
stepmode = "backward"),
list(
count = 1,
label = "1 yr",
step = "year",
stepmode = "backward"),
list(
count = 1,
label = "YTD",
step = "year",
stepmode = "todate"),
list(step = "all"))),
rangeslider = list(type = "date")),
yaxis = list(title = "kBtu"))
}
else if (grepl('comm', input$file$name) == TRUE)
{
plot_ly(read.csv(df), x = ~Date) %>%
add_lines(y = ~Chilled_water, name = 'Chilled Water') %>%
add_lines(y = ~Electricity, name = 'Electricity') %>%
add_lines(y = ~Steam, name = 'Steam') %>%
add_lines(y = ~Natural_gas, name = 'Natural Gas') %>%
add_lines(y = ~Solar, name = 'Solar') %>%
layout(
title = "Energy Usage",
xaxis = list(
rangeselector = list(
buttons = list(
list(
count = 3,
label = "3 mo",
step = "month",
stepmode = "backward"),
list(
count = 6,
label = "6 mo",
step = "month",
stepmode = "backward"),
list(
count = 1,
label = "1 yr",
step = "year",
stepmode = "backward"),
list(
count = 1,
label = "YTD",
step = "year",
stepmode = "todate"),
list(step = "all"))),
rangeslider = list(type = "date")),
yaxis = list(title = "kBtu"))
}
else if (grepl('hous', input$file$name) == TRUE)
{
plot_ly(read.csv(df), x = ~Date) %>%
add_lines(y = ~Chilled_water, name = 'Chilled Water') %>%
add_lines(y = ~Electricity, name = 'Electricity') %>%
add_lines(y = ~Steam, name = 'Steam') %>%
add_lines(y = ~Solar, name = 'Solar') %>%
try(add_trace(y = ~Chilled_water, name = 'Chilled Water')) %>%
layout(
title = "Energy Usage",
xaxis = list(
rangeselector = list(
buttons = list(
list(
count = 3,
label = "3 mo",
step = "month",
stepmode = "backward"),
list(
count = 6,
label = "6 mo",
step = "month",
stepmode = "backward"),
list(
count = 1,
label = "1 yr",
step = "year",
stepmode = "backward"),
list(
count = 1,
label = "YTD",
step = "year",
stepmode = "todate"),
list(step = "all"))),
rangeslider = list(type = "date")),
yaxis = list(title = "kBtu"))
}
else if (grepl('lab', input$file$name) == TRUE)
{
plot_ly(read.csv(df), x = ~Date) %>%
add_lines(y = ~Chilled_water, name = 'Chilled Water') %>%
add_lines(y = ~Electricity, name = 'Electricity') %>%
add_lines(y = ~Steam, name = 'Steam') %>%
add_lines(y = ~Natural_gas, name = 'Natural Gas') %>%
add_lines(y = ~Solar, name = 'Solar') %>%
layout(
title = "Energy Usage",
xaxis = list(
rangeselector = list(
buttons = list(
list(
count = 3,
label = "3 mo",
step = "month",
stepmode = "backward"),
list(
count = 6,
label = "6 mo",
step = "month",
stepmode = "backward"),
list(
count = 1,
label = "1 yr",
step = "year",
stepmode = "backward"),
list(
count = 1,
label = "YTD",
step = "year",
stepmode = "todate"),
list(step = "all"))),
rangeslider = list(type = "date")),
yaxis = list(title = "kBtu"))
}
else # (grepl('office', input$file) == TRUE)
{
plot_ly(read.csv(df), x = ~Date) %>%
add_lines(y = ~Chilled_water, name = 'Chilled Water') %>%
add_lines(y = ~Electricity, name = 'Electricity') %>%
add_lines(y = ~Steam, name = 'Steam') %>%
add_lines(y = ~Natural_gas, name = 'Natural Gas') %>%
layout(
title = "Energy Usage",
xaxis = list(
rangeselector = list(
buttons = list(
list(
count = 3,
label = "3 mo",
step = "month",
stepmode = "backward"),
list(
count = 6,
label = "6 mo",
step = "month",
stepmode = "backward"),
list(
count = 1,
label = "1 yr",
step = "year",
stepmode = "backward"),
list(
count = 1,
label = "YTD",
step = "year",
stepmode = "todate"),
list(step = "all"))),
rangeslider = list(type = "date")),
yaxis = list(title = "kBtu"))
}
})
p
```
Analysis
============================================================================
Row {data-height=700}
-----------------------------------------------------------------------
```{r,include=FALSE,message=FALSE, warning=FALSE}
api_key = "AIzaSyAnaLkG1iw1J1cTlAR6ZGGhF1bS5C7968Q"
register_google(key = api_key)
```
### Forecast Visualization
```{r, echo=FALSE}
renderPlotly({
req(input$file)
#usage <- read_csv("tupper_usage_1-18-2020.csv")
usage <- read_csv(input$file$datapath)
usage$`Date Time`<-as.Date(usage$`Date Time`,'%m/%d/%Y')
invisible(as.Date(usage$`Date Time`,format))
usage <- usage[c(1:36),]
#usage$Electricity[13] = 2309361
usage$total <- usage$`Chilled Water` + usage$Electricity + usage$Steam
#usage_copy <- usage
usage <- usage[,-c(2,3,4)]
names(usage) <- c('Date','Total_Usage')
usage$Date <- rev(usage$Date)
################################################################################################
ggplotly(
ggplot(usage,aes(x=usage$Date,y=usage$Total_Usage)) +
geom_point() +
geom_line()+
labs(x = "Date",
y = "Total Usage (kbut)",
title = "Montly Usage Data")
)%>%
rangeslider(start = min(as.numeric(usage$Date)),
end = max(as.numeric(usage$Date)))
})
```