**A1.2 P1.1A**

A bar graph helps me interpret this data because I can order in ascending fashion to quickly identify the highest occurring reasons for an ER visit. This bar graph shows at a glance the trend in reasons for the visits.

This pie chart quickly shows the percentage of each reason used when visiting the ER. This, at a glance, quickly lets me identify extreme cases in our data i.e. the most and least used reasons for visiting the ER.

This pie chart easily shows who lives the furthest from school. Mitch takes up over half of the chart making it easy to identify extreme entries.

I think the pie chart is better at explaining the data set than this bar graph as the pie chart shows you portions of the whole as this is arbitrary.

With this data I picked to represent which gender traveled the furthest to go to school. Looking at the portions of a whole on the average distances based on gender we can clearly see that males traveled the furthest. This data representation does leave out a lot of the fine granularity of the data set. There is a good mix of low mileage persons who will have their averages thrown off by a few students who may have traveled extreme distances to attend this school.

This graph shows the granularity of how many states and capitols each person remembers. We can see by looking at the horizontal axis that there are more females to the left and males to the right. This shows that on average males remember more states and capitols. This type of graph in the end reflects the same scale of data as the previous pie chart did but the bar graph retains a visual representation of the granularity of our data set.

The amount of less than 10% is the winner with the clear average lumped up near 60%.

The most frequent score by winning team is 28 points

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