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The image contains two graphs: the top graph shows monthly counts of an unknown entity labeled "No. of instances" on the y-axis, with months from Jan to Dec on the x-axis; Jan - 5, Feb - 10, Mar - 15, Apr - 5, May - 10, Jun - 20, Jul - 65, Aug - 10, Sep - 5, Oct - 10, Nov - 5, Dec - 10. The bottom graph shows monthly figures for another unknown entity labeled "Topdeck temperature (F)" on the y-axis, with months from Jan to Dec on the x-axis; Jan - 70/30, Feb - 75/35, Mar - 80/40, Apr - 85/55, May - 90/65, Jun - 90/70, Jul - 85/70, Aug - 85/65, Sep - 80/60, Oct - 75/45, Nov - 70/35, Dec - 70/30. Both graphs lack context or labels to clarify what the entities represent.
Given the complexity of the image, the above description may not be entirely accurate.
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Note: Both the topic and the answer were created by one of our users.
While the bar chart illustrates the amount of illness depend on heat of high school students per 100.000 sports events in central US states, the line graph demonstrates annual temperatures in the country.
Acording to the bar chart, August is the month which is the most seen illnesses and then , although there is a significant different, september follows its. It is seen that each month is under the 10 expect for August and September. On the other hand, in February and May, number of illnesses are zero.
Moving into the line graph, we can see that the month that is peaked temperature is July. From August, temperature starts to decrease rapidly. Moreover, in the half of year, there are small tiny fluctuations, nonetheless, temperature is steady.
In conclusion, the bar chart and line graph give information about heat-related illness. So, it is said that, there is a contrast corelation between high temperature and illnesses seen.
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