The data set that was used to produce all of these graphs isfv. fvvvvvfvvvvvf from the National Oceanic and Atmospheric Administration (NOAA). It was taken in Columbus Ohio at the John Glenn International Airport. This data was from the years of 2010 to 2018. It has data like the highs and the lows for the day as well as the wind speed. Now lets look at the graphs and see all the information that the data set tells us.
In these two box plots we are looking at the maximum daily temperatures and the minimum daily temperatures. On the x axis it is broken down by month, those months are all together from the year 2010 to 2018. The y axis is the degrees in Fahrenheit. These two box plot provide the five number summary for each month in those year time span. You can see that in the max and min temperatures for the month of January has a wide spread of temperatures. But, when you look at July for instance you can see that there isn’t really a big spread they all sit around the same temperature. Another piece of information that you can see is that there is more possible outliers in the minimum temperatures compared to the maximum temperatures.
In this table we are looking at the average max temperatures and the standard deviation of the max temperatures. It also provides the same information for the minimum temperature. They are also broken down by each month in the years 2010 to 2018. Two questions that this table help us answer is what month or months can we expect to have the highest maximum temperatures? We could probably say that we can expect July and August to have the highest temperatures through the whole year. Another question that you can ask from this graph is what month has the highest standard deviation for the maximum and minimum averages? For the max it would be the month of February and for the minimum it would be January.
| MONTH | AverageMaxTemp | StandardDeviationMaxTemp | AverageMinTemp | StandardDeciationMinTemp |
|---|---|---|---|---|
| 1 | 36.11111 | 12.800567 | 21.10394 | 12.359714 |
| 2 | 40.11811 | 13.896065 | 23.87795 | 12.246677 |
| 3 | 51.79570 | 12.805596 | 33.12186 | 10.438904 |
| 4 | 65.07037 | 10.477745 | 43.18519 | 9.202541 |
| 5 | 76.02509 | 10.005542 | 55.79928 | 8.999752 |
| 6 | 82.95185 | 6.494600 | 63.20000 | 6.006564 |
| 7 | 85.70968 | 5.862785 | 66.78853 | 5.158817 |
| 8 | 84.57706 | 4.950871 | 64.96416 | 5.244950 |
| 9 | 78.35556 | 8.496198 | 58.19259 | 7.679932 |
| 10 | 65.91398 | 10.970847 | 46.44444 | 8.877441 |
| 11 | 52.36296 | 11.180910 | 34.74074 | 8.867017 |
| 12 | 42.18638 | 11.473508 | 29.16487 | 9.947057 |
##Section 3
These two graphs are showing us the average high temperatures, and the other graph is showing us the average low temperatures. Both graphs are broken down by month. Those months include all of the years together so that means the average is by month from the years of 2010 to 2018. Then on the y axis shows the temperatures.
##Section 4
In this last graph it is showing the high for each day in the month of April. This graph is showing the highs for April for just the year of 2018. Then like most of the other graphs the y axis is showing the temperature for that day.