Reference no: EM132239001
Data Science Project -
Provide the analysis based on the instructions below.
1) Use a SQL database, R, Python, Excel, or any tool of your choosing to complete the analysis.
2) The analysis should include insights as slides in a Keynote, PowerPoint, PDF or similar document.
3) Please share the code work as well (i.e. SQL code, R script, Python code, etc.).
4) Please include a slide that explains your process and where you spent your time.
Answer the following Questions:
1. Find 5 insights/observations from the data.
2. Identify some possible link between the price of the petroleum products and external factors. Explain your observation.
3. Create column to find price changes month over month.
4. Create a summarized price and price movement by year.
5. Predict the crude oil price for next 6 months.
6. Identify the correlation between Conventional Gasoline prices between New York Harbor and U.S. Gulf Coast.
7. Is there a month/quarter/year where prices of all Products were lower than prior data points?
Attachment:- Assignment Files.rar