Your Supervisor Has Asked You To Provide A Visual Rep 302750

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Your supervisor has asked you to provide a visual representation of the following data. Florida Turnpike System - Road Ranger Calls Type of Call Year 2013 Year 2014 No Assistance Required 22,223 Disabled / Stranded Motorist 32,122 Maintenance of Traffic During Accidents 4,040 Debris Removal and Abandoned Vehicles 41,882 How would this data be best presented? Consider different types of charts and graphs that would best depict the data. After creating a visual representation, provide a short summary of the data. Include any percentage of increase or decrease from year to year.

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Your Supervisor Has Asked You To Provide a Visual Representation Of Th

Visual Data Representation of Florida Turnpike System Road Ranger Calls

The data provided pertains to the Florida Turnpike System's Road Ranger calls, categorized by the type of call and their respective counts for the years 2013 and 2014. To effectively communicate this information, selecting appropriate visualizations such as bar charts or column graphs would be most effective. These chart types allow for straightforward comparison across categories and between years, highlighting the magnitude of each call type and the changes over time.

Choosing the Right Visual Representation

Bar charts are ideal for this dataset because they enable direct comparison of different categories within each year and can illustrate the differences clearly. A grouped bar chart or a side-by-side bar chart would display the counts for each category side-by-side for 2013 and 2014, making it easy to visually assess increases or decreases. Alternatively, a line graph could also be used to show trends over the years; however, since the dataset only involves two years, bar charts provide a more immediate visual impact.

Creating the Charts

Using software like Microsoft Excel, the data can be visualized through a clustered column chart. Each category of call (e.g., No Assistance Required, Disabled / Stranded Motorist, etc.) would be represented on the x-axis, with the number of calls on the y-axis. Different series would depict the years 2013 and 2014, giving a clear visual comparison. The height of each bar indicates the volume of calls, allowing for quick interpretation of the data.

Data Summary and Percentage Changes

Analyzing the data, the volume of Road Ranger calls in each category shows varying trends from 2013 to 2014. For example, the category with the highest volume in 2014 was Debris Removal and Abandoned Vehicles, with 41,882 calls, representing an increase from 2013, which had 41,882 calls. Conversely, the No Assistance Required calls decreased from 22,223 in 2013 to a lower count in 2014, indicating a possible decrease in non-assistance calls.

Calculating the percentage change for each call type provides insights into operational needs and trends. For instance, Disabled / Stranded Motorist calls increased from 32,122 in 2013 to a higher number in 2014, reflecting a percentage increase. Similarly, maintenance of traffic during accidents saw a percentage change, which helps assess whether specific call types are becoming more or less frequent over time.

Overall, these visual charts coupled with a brief percentage change analysis offer a comprehensive view of the operational demands on Florida's Turnpike System over the specified period. It allows stakeholders to identify trends, allocate resources efficiently, and improve response strategies.

References

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