Last updated: 2026-03-23

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Knit directory: dickinson_power/

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Ignored files:
    Ignored:    .DS_Store
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    analysis/.DS_Store
    Ignored:    analysis_to-fix/.DS_Store
    Ignored:    data/.DS_Store
    Ignored:    data/FY25 Main Meter Data.xlsx
    Ignored:    data/building_list_FY25_updated.xlsx
    Ignored:    data/graph_data_life_exp.csv
    Ignored:    data/housing_counts.csv
    Ignored:    keys/.DS_Store
    Ignored:    output/annual_kwh.csv
    Ignored:    output/building_check.csv
    Ignored:    output/building_check.xlsx
    Ignored:    output/daily_kwh.csv
    Ignored:    output/kwh_academic_2026-03-16.csv
    Ignored:    output/kwh_academic_2026-03-17.csv
    Ignored:    output/kwh_academic_2026-03-18.csv
    Ignored:    output/kwh_academic_2026-03-22.csv
    Ignored:    output/kwh_academic_2026-03-23.csv
    Ignored:    output/kwh_annual.csv
    Ignored:    output/kwh_annual_2026-03-04.csv
    Ignored:    output/kwh_annual_2026-03-12.csv
    Ignored:    output/kwh_annual_2026-03-16.csv
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    Ignored:    output/kwh_annual_20260225.csv
    Ignored:    output/kwh_annual_20260226.csv
    Ignored:    output/kwh_daily.csv
    Ignored:    output/kwh_daily_2026-03-04.csv
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    Ignored:    output/kwh_daily_20260225.csv
    Ignored:    output/kwh_daily_20260226.csv
    Ignored:    output/kwh_main_annual.csv
    Ignored:    output/kwh_main_daily.csv

Unstaged changes:
    Modified:   analysis/data_wrangling_final.Rmd
    Modified:   analysis/main_meter_model.Rmd
    Modified:   analysis/main_meter_regression.Rmd
    Modified:   keys/meter_building_key.csv

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File Version Author Date Message
Rmd 38132bb maggiedouglas 2026-03-11 add student draft results
html 38132bb maggiedouglas 2026-03-11 add student draft results

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 <- 0.08138507
final_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_admin
final_annual_admin %>%
  arrange(final_annual_admin, kwh_corr)
final_annual_admin$type <- NULL
str(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")
  )

Version Author Date
38132bb maggiedouglas 2026-03-11 
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")

Version Author Date
38132bb maggiedouglas 2026-03-11 

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          rmarkdown_2.30     RColorBrewer_1.1-3 lubridate_1.9.5   
 [5] forcats_1.0.1      stringr_1.6.0      dplyr_1.2.0        purrr_1.2.1       
 [9] readr_2.2.0        tidyr_1.3.2        tibble_3.3.1       tidyverse_2.0.0   
[13] ggplot2_4.0.2      workflowr_1.7.2   

loaded via a namespace (and not attached):
 [1] utf8_1.2.6        sass_0.4.10       generics_0.1.4    stringi_1.8.7    
 [5] hms_1.1.4         digest_0.6.39     magrittr_2.0.4    timechange_0.4.0 
 [9] evaluate_1.0.5    grid_4.5.2        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         crayon_1.5.3      rlang_1.1.7      
[25] bit64_4.6.0-1     withr_3.0.2       cachem_1.1.0      yaml_2.3.12      
[29] otel_0.2.0        parallel_4.5.2    tools_4.5.2       tzdb_0.5.0       
[33] httpuv_1.6.16     vctrs_0.7.1       R6_2.6.1          lifecycle_1.0.5  
[37] git2r_0.36.2      bit_4.6.0         htmlwidgets_1.6.4 fs_1.6.7         
[41] vroom_1.7.0       pkgconfig_2.0.3   callr_3.7.6       pillar_1.11.1    
[45] bslib_0.10.0      later_1.4.8       gtable_0.3.6      glue_1.8.0       
[49] Rcpp_1.1.1        xfun_0.56         tidyselect_1.2.1  rstudioapi_0.18.0
[53] knitr_1.51        farver_2.1.2      htmltools_0.5.9   labeling_0.4.3   
[57] compiler_4.5.2    getPass_0.2-4     S7_0.2.1