Presentation_Community
Dinela & Emma
2026-03-04
Last updated: 2026-03-25
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Knit directory: dickinson_power/
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| File | Version | Author | Date | Message |
|---|---|---|---|---|
| html | 4ab0c63 | maggiedouglas | 2026-03-23 | Build site. |
| Rmd | 38132bb | maggiedouglas | 2026-03-11 | add student draft results |
| html | 38132bb | maggiedouglas | 2026-03-11 | add student draft results |
Data Preparation
Libraries
library(tidyverse)
library(DT)
library(ggplot2)
kwh_yearly<-read.csv("./output/kwh_annual_2026-03-04.csv")
dailyfix<-read.csv("./output/kwh_daily_2026-03-04.csv")Annual Electricity Data
community_yearly <- kwh_yearly %>%
filter(type=="Community")%>%
mutate(dollar_cost=round(kwh_corr*0.08138507,digits=2),
ghg_emissions=round(kwh_corr*(0.30082405/1000),digits=4),
kwh_per_sqft=round(kwh_corr/sqft, digits=4),
kwh_per_person=round(kwh_corr/occupants, digits=4))%>%
arrange(desc(kwh_corr))%>%
select(-type)
str(community_yearly)Daily Electricity Data
comm_dailyfix <- filter(dailyfix, type == "Community")%>%
filter(days_perc>=95)%>%
mutate(date = ymd(date),
month = lubridate::month(date, label = TRUE),
day = lubridate::wday(date, label = TRUE)) %>%
mutate(kwh_sqft = kwh*100/sqft)
str(comm_dailyfix)Building Type Summary
Descriptive Table
datatable(community_yearly, caption="Community Building Annual Electricity Use Indicators")Electricity Use Over Year
ggplot(comm_dailyfix, aes(x = month, y = kwh, fill = NAME)) +
geom_bar(position = "stack", stat = "identity") +
scale_fill_brewer(palette = "RdYlBu")+
theme_bw()+
labs(x = "",
y = "[Electricity use (kWh)]",
title = "Total Electricity Use by Building and Month",
fill = "Building")
| Version | Author | Date |
|---|---|---|
| 38132bb | maggiedouglas | 2026-03-11 |
Electricity Intensity
ggplot(comm_dailyfix, aes(x = reorder(NAME, kwh/sqft, FUN = median), y=kwh_sqft, fill=type))+
geom_boxplot(show.legend=FALSE)+
annotate("rect",xmin=-Inf, xmax=Inf, ymin=7.4, ymax=14.3, color="lightgray",alpha=0.3)+
geom_hline(yintercept=10.3,linetype="dashed", color="white")+
coord_flip()+
theme_bw()+
labs(x="",y="[Electricity Intensity (kWh/sqft/year)]",title="Electricity Intensity by Building",subtitle= "Ordered by Greatest Intensity")
| Version | Author | Date |
|---|---|---|
| 38132bb | maggiedouglas | 2026-03-11 |
Partner Contributions
I, Dinela D., contributed to the code by transforming the annual electricity data and creating a table summarizing annual electricity use.
I, Emma K., worked on the daily subset of our data. I contributed to creating the stacked bar graph with total electricity use by building and month.
sessionInfo()R version 4.5.2 (2025-10-31)
Platform: x86_64-apple-darwin20
Running under: macOS Ventura 13.7.8
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.5-x86_64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.1
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: America/New_York
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] DT_0.34.0 lubridate_1.9.5 forcats_1.0.1 stringr_1.6.0
[5] dplyr_1.2.0 purrr_1.2.1 readr_2.2.0 tidyr_1.3.2
[9] tibble_3.3.1 ggplot2_4.0.2 tidyverse_2.0.0 workflowr_1.7.2
loaded via a namespace (and not attached):
[1] sass_0.4.10 generics_0.1.4 stringi_1.8.7 hms_1.1.4
[5] digest_0.6.39 magrittr_2.0.4 timechange_0.4.0 evaluate_1.0.5
[9] grid_4.5.2 RColorBrewer_1.1-3 fastmap_1.2.0 rprojroot_2.1.1
[13] jsonlite_2.0.0 processx_3.8.6 whisker_0.4.1 ps_1.9.1
[17] promises_1.5.0 httr_1.4.8 crosstalk_1.2.2 scales_1.4.0
[21] jquerylib_0.1.4 cli_3.6.5 rlang_1.1.7 withr_3.0.2
[25] cachem_1.1.0 yaml_2.3.12 otel_0.2.0 tools_4.5.2
[29] tzdb_0.5.0 httpuv_1.6.16 vctrs_0.7.1 R6_2.6.1
[33] lifecycle_1.0.5 git2r_0.36.2 htmlwidgets_1.6.4 fs_1.6.7
[37] pkgconfig_2.0.3 callr_3.7.6 pillar_1.11.1 bslib_0.10.0
[41] later_1.4.8 gtable_0.3.6 glue_1.8.0 Rcpp_1.1.1
[45] xfun_0.56 tidyselect_1.2.1 rstudioapi_0.18.0 knitr_1.51
[49] farver_2.1.2 htmltools_0.5.9 labeling_0.4.3 rmarkdown_2.30
[53] compiler_4.5.2 getPass_0.2-4 S7_0.2.1