This post is a continuation of post "Analysis of Fatal Traffic Crashes in Florida: Part 1." In this post, I will identify road intersections closest to the crash locations in Brevard County, Florida, as an example.
In this post, I will look at the the fatal accidents over a period of five years in Florida at different counties to see how the crash rate varies over time. Moreover, I will use a statistical test to identify counties where there is an increase or decrese in crash rate. Finally, I will plot the locations of the crashes, and identfy the nearest road intersections for an example county. Finally, overlay the accidents and intersection locations and visualize it using **tmap** package.
In this post, we will create a function that takes a string and create a multiline output, which we will then use it for x and y lables of a ggplot.
In this post, we will visualize the domestic freight transport flow of different commodities from Illinois to other US mainland states.
In this post, I explain how to extract financial information (statement of balance sheet) of **Apple Inc.** company from its third quarter 10Q filing for the year 2018.
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