Crime in the United States
by Volume and Rate per 100,000 Inhabitants, 1997–2016
In order to gain a better picture of how crime is commited in the united states and understand which types of crimes are most common we can use this FBI data set which includes crime data from 1997-2016 and examine trends in crime during these years.
This chart shows that the most common crimes commited from 1997-2016 were property crimes and Larceny-Theft
Using Seaborn to Visualize a pandas data frame
To futher look into the data set as well as learn how to plot with seaborn we will take a closer look at the top two types of crime commited from 1997 to 2016
According to this chart it appears that property crime decreased from 1997 to 2016
- A Density Plot visualises the distribution of data over a continuous interval or time period. The peaks of a Density Plot help display where values are concentrated over the interval. This plot shows that overtime the peak number of property crime was between 1.0 and 1.1 le7
Comparing the top 2 types of crime from 1997 to 2016
This graph shows a strong positive corelation between Larceny theft and property crimes. This makes sense because larceny theft is included in the the defination of property crimes and is the largest property crime commitited according to this FBI data set
- Populations are U.S. Census Bureau provisional estimates as of July 1 for each year except 2000 and 2010, which are decennial census counts.
- The violent crime figures include the offenses of murder, rape (legacy definition), robbery, and aggravated assault.
- The figures for the offense of rape were estimated using the revised Uniform Crime Reporting Program's (UCR) definition of rape.
- The murder and nonnegligent homicides that occurred as a result of the events of September 11, 2001, are not included in this table.
- Although arson data are included in the trend and clearance tables, sufficient data are not available to estimate totals for this offense. Therefore, no arson data are published in this table.