For this project we analyzed weather data for the island of Oahu in Hawaii to determine if it would be a good investmet to open a surf gear and icecream store in that location.
- Jupyter Notebook
- SQLite database - hawaii.sqlite database file
In the following tables you can see the results from the statistical analysis for the month of June and December. Three takeaway points from this analysis:
- The weather in the island of Oahu is consisten year round, with an average Temperature of 75° for the monht of june and 71° for the month of december.
- The minimum Temperature for June is 64° and 56° for december which are pleasant temperatures for outdoors activities.
- The value of the standard deviation is 3.25° for june and 3.74° for december, therefore we can say with certainty that the weather does not vary too much. Making the Island of Oahu a safe option to open the surf and icecream shop.
| June Stats | |
|---|---|
| count | 1700 |
| mean | 74.944118 |
| std | 3.257417 |
| min | 64 |
| 25% | 73 |
| 50% | 75 |
| 75% | 77 |
| max | 85 |
| December Stats | |
|---|---|
| count | 1517 |
| mean | 71.041529 |
| std | 3.74592 |
| min | 56 |
| 25% | 69 |
| 50% | 71 |
| 75% | 74 |
| max | 83 |
In summary we can determine that opening a surf and icecream store in Oahu is a safe investment considering the weather. Of course there is other variables that we need to consider like the demand for this type of products, turist seasons and cost/rent of the store.
- We could add a query to obtain the data for precipitation for each month.
- Add graphs to observe the behavior of the temperature through the days of the month.
- A query that returns the statistical data for each year in the data base in order to get the temperature through out the year.
- A query that returns the seasonal statistical data to compare the weather for each season.