The purpose of this analysis is to provide more temperature information to W. Avy, enabling him to observe the data and to discern if the business venture he is about to embark on can be sustained all year. To provide such information, the data regarding the months of June and December in Oahu is extracted and provided in the form of a DataFrame.

After having determined and extracted the summary statistics for June and December, the following results were observed:

• The mean temperature for the month of June was 75, while the minimum was 64 and the maximum was 85.

• The mean temperature for the month of December was 71, while the minimum was 56 and the maximum was 83.

• The standard deviation, which calculates the dispersion of numbers in the provided dataset, does not show any significant difference between the months of January and December, as the values returned are 3.26 and 3.75, respectively.

As observed above, the analysis performed from the temperature information in Oahu shows that there is no significant difference in temperature between June and December. In order to determine the sustainability of a year-round surf and ice cream shop business and the possibility of opening more shops on Oahu and other islands, more information needs to be provided regarding the following:

• The precipitation levels for the months of June and December.
• The temperatures recorded at the most active stations available in the dataset.
• The variation of the temperature observation for the remaining months.