Author: Amy TibbettsDate: 10/26/2022 Import Libraries and Previous Code The latent constructs will be built off of the code from previous assignments in the below chunk of code. Open and Close Counts / left_join() My latent construct is “Equity in Civic Service”. I want to measure this by focusing on the time aspects of when … More 311: Building Latent Constructs
df311<-read.csv(‘311 Cases 2020_2024 Unrestricted_Cleaned.csv’) Building off of last week’s assignment and with my new cleaned data, I plan to build two latent constructs based on aggregations. When I initially completed the proposing new measures assignment last week, I chose to measure the latent construct of the propensity to tattle on neighbors. After advice and re-thinking … More 311 Building Latent Constructs
M.J. Riekert require(tidyverse)require(ggplot2) Perms <- read.csv(‘Permits.Records.2021.csv’) This week I decided to take a closer look at the relationship between the declared value and square footage for projects involving new construction in Boston’s neighborhoods. The primary objective of this analysis was first to better understand the relationship between the size of new construction and its declared … More Building Latent Constructs
By: Alexis Rosales-Hernandez First, as a group, we sorted the variable month_year. This allows us to view if there are any duplicates that can skew the data. Once seeing that there are some listings that are duplicated, I removed them. I did this because a listing can be seen on the same month multiple times, … More Building Latent Constructs
Rongsen Introduction In last week’s assignment, I came up with Climate Readiness as my latent construct. This week, I’m taking my latent construct a step further using the Property Assessment Data for Boston dataset from Harvard Dataverse.Since I’ve been focusing on Electrical Permits in the Building permit dataset, I’ll start by creating a subset that … More Build Latent Construct-Building Permit
Charvi Madan 2022-10-25 Last week , we proposed latent constructs for our datasets and I suggested “Turnaround Restructuring” which measures the restructure that took place in the advertising market during COVID. So I will not be building on it completely but I will take some parts of it like the mentioning of COVID and covid … More Building Latent Construct:Craigslist
Introduction When looking for a place to stay, we look at how the place looks and feels to see if the cost is worth it. People tend to say a particular neighborhood is good if it has access to things like transit, but that doesn’t tell us anything about the property we will be living … More Building Latent Constructs: Property Assessments
Building Latent Constructs 2022-10-25 Intro I am interested in using building permits data to research gentrification, which I believe occurs primarily at a neighborhood level. Part of why activists are so concerned about gentrification is because effects of individual actions have a ripple effect on the whole neighborhood’s rent prices and property values. Actions are … More Building Latent Constructs: Building Permits
Popularity of a airbnb is very important for any owner. It is based on price,number of reviews, area it is located. Taking some of those parameters and aggregating the dataset, we get some very good results. As of now we are aggregating the data set on the basis of the neighborhood for getting the average … More Building Latent Constructs
By Brooke Glatzhofer There is lots of research linking Airbnbs with gentrification. The “Airbnb Effect” was coined to describe the slow increase in value of an area due to the presence of Airbnbs, causing displacement of existing residents due to financial constraints. Furthermore, the profitability of Airbnbs makes it beneficial for property owners and landlords … More Building Latent Constructs: Airbnb
Seeing Boston Neighborhoods through Administrative Data 