Description of Visual:
Our main question for our visualization is “Which Area
is Attracting the most Theft?” For our data set, we analyzed January 2002 to
December 2011. We started the project by doing some data cleaning first and decided to not look at recent data due to the recent years
did not include location of where the crime of theft was committed. To answer our
main question, we decided to use a map of Chicago and a bar chart to highlight
which districts have the most number of theft during those particular years. We decided to visualize on a map to see the magnitude of crimes on a color scale. The
range of colors highlights the number of thefts in that district which the districts are represented in circles. The color scheme goes from yellow (least amount of theft) to brown
(greatest amount of theft). By using the same color coding, we created a bar graph of total crimes for each year. This allows the user to efficiently see which district has the most theft. On the bar
graph we noted that we excluded districts 13, 21, 23 and 31 due to these
districts not having enough significant data. We provided a drop down menu for both visuals
to let the user compare different years or look at all ten years as a whole. We
hope our choice of visualization will help the user understand the main question
that we are answering with the given data set of theft in Chicago.
Here are a few questions to get familiar with the visual:
1. From the bar graph, is there a noticeable increase or decrease in theft over the years?
2. Choose two years, look at which district has the least amount of theft and the most. Are these districts the same for both years?
3. Look at the map visual. By looking at it are you able to tell which area has the most amount of theft?
4. Using the bar graph, select all years. Which three districts had the highest theft rates?
