PS5: Preliminary Results
Eva Hanlin and Amiya Marbles
2026-03-04
Last updated: 2026-03-11
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Knit directory: dickinson_power/
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Data Preparation
library(ggplot2)
library(tidyverse)
library(dplyr)
library(readr)
library(RColorBrewer)
library(rmarkdown)
library(DT)
library(lubridate)kwh_annual <- read_csv("./output/kwh_annual_2026-03-04.csv")
kwh_daily <- read_csv("./output/kwh_daily_2026-03-04.csv")# str(kwh_annual)
# str(kwh_daily)Annual
Eva constructed the code for annual data elements including building category, transform, and organize.
annual_admin <- filter(kwh_annual, type == "Admin")ghg_kg <- 0.30082405
cost <- 0.08138507final_annual_admin <- annual_admin %>%
mutate(GHG.MT = round(kwh_corr*ghg_kg)/1000,
cost = round(kwh_corr*cost),
kwh_sqft = round(kwh/sqft))
final_annual_adminfinal_annual_admin %>%
arrange(final_annual_admin, kwh_corr)
final_annual_admin$type <- NULLstr(final_annual_admin)
# summary(final_annual_admin)Daily
Amiya conducted the analysis using code for the daily data of administrative buildings including filtering for administrative buildings and transforming the data to the necessary measurements.
Admin_subset <- kwh_daily %>%
filter(type == "Admin") %>%
mutate(
date = ymd(date),
month = month(date, label = TRUE, abbr = FALSE),
day_of_week = wday(date, label = TRUE, abbr = TRUE),
kwh_sqft_yr = round(kwh*365) / sqft)Building Type Summary - Admin
Eva created the descriptive tables for the administrative buildings and created the stacked bar chart for electricity intensity by month. It is important to note for the stacked bar chart that there is data missing for all the buildings on the Weiss Meter, including Old West, for part of August, making Old West’s total kWh for the month much lower than reality. Amiya created the ranked boxplot for annual total kwh by administrative building using the EIA 2018 report measurements of spread.
datatable(final_annual_admin)datatable(Admin_subset)eia_median <- 10.1
eia_q25 <- 6.1
eia_q75 <- 15.7
ggplot(Admin_subset,aes(
x = reorder(NAME, kwh_sqft_yr, FUN = median, na.rm = TRUE),
y = kwh_sqft_yr,
fill = NAME
)) +
annotate("rect", ymin = eia_q25, ymax = eia_q75, xmin = -Inf, xmax = Inf,
alpha = 0.2, fill = "gray50") +
geom_hline(yintercept = eia_median, linetype = "dashed", color = "black", linewidth = 0.8) +
geom_boxplot(alpha = 0.9, outlier.alpha = 0.5) +
coord_flip() +
facet_wrap(~ period) +
labs(
title = "Annualized Daily Electricity Intensity by Building",
subtitle = "Dashed line = EIA 2018 Median; Gray band = EIA 2018 IQR",
x = NULL,
y = "Electricity Intensity (kWh/sqft/year)"
) +
theme_bw() +
theme(
legend.position = "none",
panel.spacing = unit(1, "lines")
)
ggplot(Admin_subset, aes(x = month, y = kwh, fill = NAME)) +
geom_col() +
theme_bw() +
theme(legend.title = element_blank()) +
labs(title = "Electricity Intensity by Month for Administrative Buildings",
x = "Month",
y = "Administrative Building Name/Address")
sessionInfo()R version 4.3.2 (2023-10-31)
Platform: x86_64-apple-darwin20 (64-bit)
Running under: macOS Ventura 13.7.8
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib; LAPACK version 3.11.0
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_0.33 rmarkdown_2.25 RColorBrewer_1.1-3 lubridate_1.9.3
[5] forcats_1.0.0 stringr_1.5.1 dplyr_1.1.4 purrr_1.0.2
[9] readr_2.1.5 tidyr_1.3.1 tibble_3.2.1 tidyverse_2.0.0
[13] ggplot2_3.5.1
loaded via a namespace (and not attached):
[1] sass_0.4.8 utf8_1.2.4 generics_0.1.3 stringi_1.8.3
[5] hms_1.1.3 digest_0.6.37 magrittr_2.0.3 evaluate_0.23
[9] grid_4.3.2 timechange_0.3.0 fastmap_1.1.1 rprojroot_2.0.4
[13] workflowr_1.7.1 jsonlite_1.8.8 promises_1.2.1 fansi_1.0.6
[17] crosstalk_1.2.1 scales_1.3.0 jquerylib_0.1.4 cli_3.6.2
[21] crayon_1.5.2 rlang_1.1.3 ellipsis_0.3.2 bit64_4.0.5
[25] munsell_0.5.0 withr_3.0.0 cachem_1.0.8 yaml_2.3.8
[29] parallel_4.3.2 tools_4.3.2 tzdb_0.4.0 colorspace_2.1-0
[33] httpuv_1.6.13 vctrs_0.6.5 R6_2.5.1 lifecycle_1.0.4
[37] git2r_0.33.0 bit_4.0.5 htmlwidgets_1.6.4 fs_1.6.3
[41] vroom_1.6.5 pkgconfig_2.0.3 pillar_1.9.0 bslib_0.6.1
[45] later_1.3.2 gtable_0.3.4 glue_1.7.0 Rcpp_1.1.0
[49] highr_0.10 xfun_0.41 tidyselect_1.2.0 rstudioapi_0.16.0
[53] knitr_1.45 farver_2.1.1 htmltools_0.5.7 labeling_0.4.3
[57] compiler_4.3.2