Publications by Jake Abdow
County Spending Project 3
County Spending #install.packages("rlang", version = "1.1.0") library(tidyverse) Warning: package 'tidyverse' was built under R version 4.2.3 ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.0 ✔ readr 2.1.4 ✔ forcats 1.0.0 ...
633 sym Python (12338 sym/45 pcs) 6 img
County Spending Project 3
MOCO spending Project 3 Author Jake Abdow Published May 9, 2023 a. Intro For Project 3, I decided to use the “county spending” data set from dataMontgomery the Counties program dedicated to “making county public data freely available in an open and consumable format.”() While there was no ReadMe file, after researching dataMontgomery ...
6946 sym Python (14885 sym/55 pcs) 7 img
Project 2
a. The topic of the data, any variables included what kind of variables they are, where the data came from, and how you cleaned it up (be detailed and specific, using proper terminology where appropriate). For my second project, I chose to work on the us_contagious_diseases.csv data set, including data six variables, disease, state, year, week...
9902 sym R (12625 sym/70 pcs) 10 img
Project 2
a. The topic of the data, any variables included what kind of variables they are, where the data came from, and how you cleaned it up (be detailed and specific, using proper terminology where appropriate). For my second project, I chose to work on the us_contagious_diseases.csv data set, including data six variables, disease, state, year, week...
4797 sym R (15035 sym/78 pcs) 13 img
Project 2
Load libraries library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.0 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.1 ✔ tibble 3.1.8 ## ✔ lubridate 1.9.2 ✔...
1815 sym R (10716 sym/58 pcs) 7 img
Final Project 2
Load libraries library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.0 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.1 ✔ tibble 3.1.8 ## ✔ lubridate 1.9.2 ✔...
2192 sym R (12088 sym/62 pcs) 9 img
Improved Project 2
Load libraries library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.0 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.1 ✔ tibble 3.1.8 ## ✔ lubridate 1.9.2 ✔...
1007 sym R (8495 sym/51 pcs) 2 img
Test Project 2
Install packages for creating US map #devtools::install_github("UrbanInstitute/urbnmapr") #install.packages("urbnmapr") #install.packages('devtools') #install.packages("gganimate") Load libraries library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0...
1354 sym R (7886 sym/51 pcs) 5 img
Second test project 2
Libraries library(tidyverse) ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ## ✔ dplyr 1.1.0 ✔ readr 2.1.4 ## ✔ forcats 1.0.0 ✔ stringr 1.5.0 ## ✔ ggplot2 3.4.1 ✔ tibble 3.1.8 ## ✔ lubridate 1.9.2 ✔ tidy...
418 sym R (3766 sym/32 pcs) 1 img
GIS Tutorial
Set various values needed, including names of files and FIPS codes for New Hampshire and South Carolina nhdatafile <- "NHD2016.xlsx" nhdatafilecsv <- "NHD2016.csv" usshapefile <- "cb_2014_us_county_5m/cb_2014_us_county_5m.shp" #keep entire name nhfipscode <- "33" 8 ## [1] 8 scdatafile <- "SCGOP2016.csv" scfipscode <- "45" Install neccasary ...
2459 sym R (30715 sym/87 pcs) 7 img