CL-5 Vijay 2022-10-22 CL<-read.csv(“/Users/vijaysuresh/Downloads/CRAIGSLIST.Listings.csv”)CL<-CL[c(8,14)]neighborhoods<- read.csv(“/Users/vijaysuresh/Downloads/Blocks_Boston_2010_BARI.csv”)neighborhoods<-neighborhoods[c(10,11,15,17,20)]zipcode<-read.csv(“/Users/vijaysuresh/Downloads/zip codes.csv”) Loaded craigslist, neighborhoods and zipcode data. Neighborhoods data contain variables like zipcode. Dataset Zipcode contains Median household income. library(stringr)library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──## ✔ ggplot2 3.3.6     ✔ purrr   0.3.4## ✔ tibble  3.1.7     ✔ dplyr   1.0.9## ✔ tidyr   1.2.0     ✔ forcats 0.5.2## ✔ readr   2.1.3    ## ── … More Building Latent Construct

Last week I proposed creating a potential latent construct in the property assessment dataset for an Energy Burden Score. This score would combine several fields in the property assessment data as manifest variables, to try and assess the distribution of risk for higher energy burden based on property characteristics. Measuring energy burden directly would require … More Building Latent Constructs: Property Assessment

When a neighborhood is viewed as desirable, it is seen as being of better quality than others.  This quality is reflected in many ways, but most notably the location and condition of the home. The condition of a home can be shown in the property assessment dataset using the year built and year renovated variables. … More Building Latent Constructs

My latent construct is classifying Airbnb’s on the basis of the amenities included in them. For the same, I define luxurious Airbnb as those which have a pool and/or a gym. Using the string detect command, we can see that there are 1233 unique listings which have Pools in them. Now we do the same … More Building Latent Constructs

           Parikshit Talokar 10/26/2022 R Markdown The data set I will be working on is a Building Permits Application record received by the City of Boston from September 26 2006 to July 9, 2022. There are 550065 applications received in all and have variables like Issued Date, Fees Charged, Valuation of the Property, etc. BuildingPermits<-read.csv(‘Permits.Records.2021.csv’) … More Building Latent Construct (Module 7)

2022-10-26 library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──## ✔ ggplot2 3.3.6      ✔ purrr   0.3.4## ✔ tibble  3.1.8      ✔ dplyr   1.0.10## ✔ tidyr   1.2.1      ✔ stringr 1.4.1## ✔ readr   2.1.2      ✔ forcats 0.5.2## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──## ✖ dplyr::filter() masks stats::filter()## ✖ dplyr::lag()    masks stats::lag() library(dplyr)library(lubridate) #### Attaching package: ‘lubridate’#### The following objects … More Building Latent Constructs – 311

In the present analysis I continued to build the measures for the latent and manifest variables. I will be measuring the latent construct which is resilience. I will be measuring it based on the frequency of reporting public requests at the tract level. Additionally, the time taken to respond to requests and the diversity of … More Building Latent Constructs:311

Author: Sophie Arjevannidze Class: Big Data For Cities PPUA5262 Affordable housing – craigslist I am using the Craigslist property listing in the city of Boston to explore the affordability of housing placed in the different neighborhoods. Property listing covers 200-2021 years (some months are missing) and contains 205 450 rows (property listing) and 14 columns … More Building latent construct