Publications by Karlerik Naslund
DEM7093_Homework3
Here, I’ll be looking at some different projections Bexar county maps, and we will observe how changing the projection can change the output of a map. First, we load the data from ACS. This is the same data as last time, our variable of focus is Median Household Income, even though that is not really what the homework is about: library(tidycens...
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dem7903_homework4
Vacancy Rates in Dallas County, Tx from 2011 to 2019 (Rates of Change Homework - 4) In this homework, I’ll be creating a comparison of housing vacancy rates in Dallas County from 2011 to 2019, using ACS data. library(tidycensus) library(tidyverse) ## -- Attaching packages --------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.2 ...
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dem7093_homework6
Homework 6: Point Patterns For this assignment, I’ll be creating point patterns from the westside grocery store data. First, we load the grocery store data. library(tidycensus) library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.3 v purrr 0.3.4 ## v tibble 3.1.0 v ...
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Homework7_DEM7093
Homework 7 - ipums estimates In this homework, I’ll be creating IPUMS estimates of California PUMAS showing what percent of the population lived in the same house last year. First, I load the data: library(tidycensus) library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.3 v...
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blog3
library(tidycensus) library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.3 v purrr 0.3.4 ## v tibble 3.1.0 v dplyr 1.0.5 ## v tidyr 1.1.3 v stringr 1.4.0 ## v readr 1.4.0 v forcats 0.5.1 ## -- Conflicts ------------------------------------------ tidyve...
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blog_post4
library(tidycensus) library(tidyverse) ## -- Attaching packages --------------------------------------- tidyverse 1.3.0 -- ## v ggplot2 3.3.3 v purrr 0.3.4 ## v tibble 3.1.0 v dplyr 1.0.5 ## v tidyr 1.1.3 v stringr 1.4.0 ## v readr 1.4.0 v forcats 0.5.1 ## -- Conflicts ------------------------------------------ tidyve...
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project - run 3
colnames(els)<-toupper(colnames(els)) #college entry variables entry_variables<-els %>% select(STU_ID,SCH_ID,STRAT_ID,PSU,F2HS2P_P,F2PS1SEC,F3HS2PS1,F3PS1SEC,BYQXDATP,F1RDTLFT,BYSES1QU,F3QWT,BYP33,BYSEX,BYRACE,BYPARED,BYGPARED,F1RGPP2,BYMATHSE,BYSTEXP,BYPARASP) entry_variables<-entry_variables %>% mutate(PARENT_EXPECTATION=ifelse(BYPARASP==...
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