Data Sciences Project
It is an independent project that uses R Studio to analyze and visualize data of public institutions to meaningfully utilize data. The following portfolio shows some of these projects.
#Data Sciences
#1. Incarceration
In the midst of Black Lives Matter protests a few months ago, racism in the United States can be shown thought our prison system. A complex set of social and political structures, including the over-policing of individuals of color and the war on drugs have led to the disproportionate incarceration of people of color. We live in a time where people of color are constantly reminded of the reality that they have to live in, where their identity is constantly scrutinized, denied, pulled apart, and examined other people.
#Data Sciences
Homeless Rate
Used Shiny library in R and analyzed the homeless rate in States.
#Data Sciences
COVID Trend
This graph is a graph showing how the corona outbreak situation in Washington state changes over time using public corona data provided by the CDC.
#Data Sciences
COVID Unemployment
I used the following libraries and analyzed the data in regards to COVID unemployment.
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library(dplyr)
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library(tidyr)
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library(ggplot2)
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library(plotly)
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library(rbokeh)
Report
Some quick information that we extracted from our summary information functions was that women had a higher max unemployment rate of 15.5% versus males with 13%. People with different education levels, those with less education (less than high school diploma or only high school diploma) had higher max unemployment rates, 17.3% to 21.2% than those with higher education (some college or bachelors and higher), 8.4% to 15% were found. Finally, among different races, Hispanic/Latino Americans had the highest max unemployment rate of 18.9% while white Americans had the lowest unemployment rate of just 14.2%. Interestingly all these max unemployment rates were in 2020, showing the devastating impact COVID has had on all Americans.
