Embedded Files
Contributors
StoryBoard Contributor: Haonan Gong
Narrative Contributor: Isabella Jimenez, Haonan Gong, Salah-Eddine Soufi, Hangying Li
Annotated Bibliography Contributor: Isabella Jimenez, Haonan Gong
Data Critique Contributor: Salah-Eddine Soufi, Haonan Gong and Hangying Li
About Page Contributor: Isabella Jimenez, Haonan Gong, Salah-Eddine Soufi, Hangying Li
Website building: Isabella Jimenez and Hangying Li
Assets
Our assets mainly include the data sources found in Corgis, BEA, and Zillow. Data materials include county per capita GDP, average home prices, as well as Food Access, and 2016 election data.
The main purpose of our use of these materials is to observe the differences in the electoral preferences of different classes, which are guided by Marxism, in the article Theory: Marxism, written by Mike Austin, it says, “It is not the consciousness of men that determines their existence, but, on the contrary, their social existence determines their consciousness”(Austin 3). Therefore, we believe that economic factors can influence people to make different decisions in elections, for example, people who need certain social benefits in their policies will be more inclined to support the party that supports certain benefits.
At the same time, we took some articles to analyze the differences between Democrats and Republicans to help our analysis, this is coming from formalism, in the article “Formalism,” and Media Studies” written by Lev Manovich, it says, “If we are interested in historical or contemporary media culture and media arts, we need to study not only the content of artifacts but also their form”(Manovich 2). Therefore, we believe that in the process of analyzing why people are interested in certain political parties, we should first understand the characteristics and differences between Democrats and Republicans, so that we can better understand why people are interested in them.
Services
We did a data cleanup of the data we collect, the reason of doing this is because data was sourced from various places which are having distinct methodologies, which inevitably led to slight discrepancies in the information obtained. Iinstances where certain counties are missing from the edited dataset, results in some of the data being labeled as "numpy.NAN," and this means a placeholder with no information at all.
We've combined modern, Republican and Democratic approval ratings at different times to create a workable view.
Our services include using Jupyter notebooks, using python's pandas and numpy databases to analyze aggregated data to find potential correlations between social relationships and voting behavior represented by different data. The reason why we chose these factors for analysis is that they can tell a person's social status to some extent, so as to distinguish the voting behavior of different classes.
We have provided our contact details to help those who have questions about the project communicate with us.
Interface
Our main interface is the project website itself, it is free, so it is open to everyone, we made this page to make it easier for people to access our project.
We have compiled data on Americans' voting preferences for the Republican and Democratic parties from 1860 to the present day and produced a viewable view to help readers gain a clearer understanding of the historical changes in support for the two parties as they read the project
We have produced a variety of actionable views based on the analysis, which will give readers a clearer understanding of the correlation between the different factors revealed by our data analysis and voting habits.
Salah-Eddine Soufi is a Berkeley L&S Data Science Student with a Domain Emphasis in Economics. I am 22 years old. The reason why I have come to love Data Science is the combination of Statistics, Computer Science and Domain Knowledge in a manner to produce good insights with incomplete information. In this project have been one of the main contributors to the data analysis, as well as the data critique.
Haonan Gong is a Berkeley L&S Data Science Student with a Domain Emphasis in Mathematics, I am 21 years old. My interest in data science mainly comes from artificial intelligence and philosophy, which reflect how people's minds work from various aspects. At the same time, I am very interested in how to use computer science to simulate neural networks. In this project, my main task was to write and put together the contributors' words.
Isabella Jimenez is a Berkeley L&S Philosophy student with a minor in Digital Humanities, I am 22 years old. I gravitated towards philosophy to understand the simple things in life that we take for granted on a daily basis. Having my interest in philosophy combined with my interest in digital humanities has broadened my mind to the many opportunities of how I can explore philosophical research through data and computational representations.
Hangying Li is a Berkeley L&S student majoring in CS, Economics, and Media studies. I’m 20 years old. I have taken quite a lot of data-related classes at Berkeley because I think understanding data is always crucial to providing key insights into the underlying story of every research topic.
Acknowledgments of the various people who helped our project building
We found a video as our guideline for the project website designing on Youtube:
Author’s name: Stewart Gauld
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