For this project, we analyzed the San Francisco Police Department (SFPD) Incident Report, containing a detailed record of police incidents from 2003 to date—January 2018 as of the date of this project. This report contains over 2 million records, which complicated data movement. To amileriate this issue, we narrowed down the scope of our analysis to the 01/01/2010 to 12/31/2017 time span. In addition to the SFPD report, we also used Census Bureau American Community Survey (ACS) reports for each of the years included in the study report. These reports provided demographic and socioeconomic information that were correlated with the SFPD report to address various questions we explored. To visit the project page on github click here.
Ride sharing Analysis, a data-backed guidance on new opportunities for market differentiation. To visit the project page on github click here.
a sentiment analysis of the Twitter activity of various news oulets (BBC, CBS, CNN, Fox, and New York times) To visit the project page on github click here.
Manipulating data in a study that tests 250 mice were treated through a variety of drug regimes over the course of 45 days. Analysis Overall, it is clear that Capomulin outperforms all other treatment options in the screen. Capomulin was the only treatment to reduce tumor volume. It held to a 19% reduction in tumor volume over the course of trial, whereas all other drugs were correlated with an increase in tumor volume by roughly 40-50%. Capomulin greatly limited the spread of the tumor compared to other treatment options. By study end, the average mouse on Capomulin had only 1 new metastatic site, as opposed to the average 2-3 found in mice of other treatment options. Lastly, mice on the Capomulin treatment had the highest survival rate of any treatment in the screen. Over 90% of mice treated by Capomulin survived the full duration of the trial, compared to only 35-45% of mice on other treatment options. To visit the project page on github click here.