Where Do Criminal Offenses Typically Occur? Our Homes!

[Understand that the data provided by the FBI Uniform Crime Reporting (UCR) program does not consist of all criminal records.  The data is supplied by participating local, county, state, tribal, and federal law enforcement agencies.  Therefore, in the following analysis, the percentages should be given more consideration, assuming the UCR data is representative of the nation's … Continue reading Where Do Criminal Offenses Typically Occur? Our Homes!

NamUS- Missing Persons in Hillsborough County, FL

NamUS stands for National Missing and Unidentified Persons System. It is administered by the National Institute of Justice and managed through a cooperative agreement with the UNT Health Science Center in Fort Worth, TX. In order to access their database you must create an account. There is no cost to create an account or access their database. The … Continue reading NamUS- Missing Persons in Hillsborough County, FL

Plane Crashes Rise Then Fall, Overall Avg. Pct. Fatalities at 83.4% (1908-2009)

This dataset comprises airplane crashes from military, private, and commercial airlines from around the world from 1908 to 2009.  The purpose of this project was to further practice cleaning, transforming, analyzing, and visualizing data in Python.  I did discover a few interesting things about airplane crashes in the process.  For instance, after the Wright brothers … Continue reading Plane Crashes Rise Then Fall, Overall Avg. Pct. Fatalities at 83.4% (1908-2009)

How Has the Maternal Mortality Ratio Improved from 1990-2015?

Maternal Mortality Ratio 1990-2015 The project analyzes the maternal mortality ratio (MMR, out of every 100,000 live births) across countries from 1990-2015. The data for this project can be accessed on the UNICEF website here. A detailed description of how the data was compiled and measured can be found here. This analysis clearly shows that … Continue reading How Has the Maternal Mortality Ratio Improved from 1990-2015?

Gapminder: Life Expectancy and Per Capita GDP by Continent

The data used, Gapminder, originally comes from http://www.gapminder.org. The version used here is provided by Jennifer Bryan and can be found here. The purpose of this project is to demonstrate how to read in data using Pandas read_csv method, inspect the data, perform basic manipulation and visualization, and communicate my findings. Note: "Per-capita GDP (Gross … Continue reading Gapminder: Life Expectancy and Per Capita GDP by Continent