1. The question provides us those following weather information of one specific place: Maximum Temperature, Minimum Temperature, Average Temperature, Dew Point, Sunrise, Sunset, and Pressure. The date has been recorded daily for six months from April 1st, 2015 to September 30th, 2015.
2. After calculate the Mean, Median, and Standard Deviation for Maximum Temperature, Minimum Temperature, Dew Point and Pressure, we can that this place has a moderate climate for the time period it recorded. There is not a huge different in temperature between its data in the beginning of the summer and its data at the end of the fall. Also, the pressure of the place stays perfectly stable. It only changes slightly over the six months. Moreover, the median …show more content…
From the correlation relationship coefficient we get by calculation. We can know that there is strong correlation between average temperature and the dew point. Which means that as the average temperature increase, the dew point will also increase. Besides, we can also know that there is no correlation between the average temperature and pressure, which means that the pressure of this place will not be affected by the temperature here. It is also the same between the sunrise and the maximum temperature, the change of one of them will not affect the other. Moreover, the data also shows us that there is a strong negative correlation between the Sunrise and the Sunset, which totally make sense for those two event take place in opposite time of the data and all the factor are different.
4. From the two plots we draw for the correlation between Minimum temperature and the Maximum Temperature and the correlation between Dew point and Pressure, we can easily learn from the graph that there is a strong correlation between the Minimum temperature and the Maximum Temperature since there is a upward sloping shown in the plot, which means that then the Maximum Temperature of a day increase, the Minimum temperature of that day will also increase, vice-versa. Moreover, we can also know from the graph that there is no correlation between the dew point and the pressure for there is only meaningless dot been shown on the plot
2. After calculate the Mean, Median, and Standard Deviation for Maximum Temperature, Minimum Temperature, Dew Point and Pressure, we can that this place has a moderate climate for the time period it recorded. There is not a huge different in temperature between its data in the beginning of the summer and its data at the end of the fall. Also, the pressure of the place stays perfectly stable. It only changes slightly over the six months. Moreover, the median …show more content…
From the correlation relationship coefficient we get by calculation. We can know that there is strong correlation between average temperature and the dew point. Which means that as the average temperature increase, the dew point will also increase. Besides, we can also know that there is no correlation between the average temperature and pressure, which means that the pressure of this place will not be affected by the temperature here. It is also the same between the sunrise and the maximum temperature, the change of one of them will not affect the other. Moreover, the data also shows us that there is a strong negative correlation between the Sunrise and the Sunset, which totally make sense for those two event take place in opposite time of the data and all the factor are different.
4. From the two plots we draw for the correlation between Minimum temperature and the Maximum Temperature and the correlation between Dew point and Pressure, we can easily learn from the graph that there is a strong correlation between the Minimum temperature and the Maximum Temperature since there is a upward sloping shown in the plot, which means that then the Maximum Temperature of a day increase, the Minimum temperature of that day will also increase, vice-versa. Moreover, we can also know from the graph that there is no correlation between the dew point and the pressure for there is only meaningless dot been shown on the plot