The data I worked with come from a 2014 study titled, “An Institutionalization Effect: The Impact of Mental Hospitalization and Imprisonment on Homicide in the United States, 1934 – 2001.” The research was led by Dr. Bernard Harcourt, a political scientist and human rights lawyer who is a teaches at Columbia University’s Law school. The […]
Author: kayciehaller
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Module 11: Work
The major roadblock I came across this week was figuring out how to use a “single view to filter other views in dashboard.” However, after re-watching some of the Tableau intro videos, going to office hours, and outside googling I am 99.9% sure I figured it out. There are several decisions I made to focus […]
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10: Work
For my first choropleth map, I compared the number of incarcerated individuals to the total state population. I also included a slider to filter by year so viewers can observe national trends in incarceration rates across the 20th century. Similar to my first choropleth map, the second choropleth map compares the number of individuals admitted […]
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Module 9
The dataset I chose to use for my final project is titled, “The Institutionalization Effect: The Impact of Mental Hospitalization and Imprisonment on Homicide in the US 1934-2001.” The original study complied national and state incarceration and mental hospitalization to examine the effects institutionalization had on homicide rates. I found the dataset, and the accompanying […]
I am interested in the datasets compiled in the “The Institutionalization Effect: The Impact of Mental Hospitalization and Imprisonment on Homicide in the US 1934-2001” After opening and looking through “The Institutionalization Effect” and the “Boys Town Study of Youth Development” datasets via OpenRefine and their code books, the data in “The Institutionalization Effect” seemed […]
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Module 5: Using Data
In my bar chart, I showed the number of Albany residents employed in a certain occupation. I Each bar is colored to represent a different occupation and included a slider to filter by year. My heatmap visualizes the birthplace and level of literacy of Albany residents, except New York, from 1850 to 1930. The data […]
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Getting Data
Links to this week’s assignments: API Requests, Webscraping, Geocoding, Gender Inference One concept I found difficult for this week’s module “Getting Data,” was the “Get the Header” portion of the Webscraping assignment. Particularly the last step of the section where we had to call the “write_this()” function but replace the input variable with the header […]
I thought this week’s assignment was interesting to built upon, and compare, the different “languages” of coding. Similar to Kailey, I found Observable easier to understand and navigate than Colabs. Observable’s formatting and the way the platform gave feedback was easier for me to understand where I went wrong. I still don’t think I fully […]