In this case study, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. Therefore if we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch. In this lab, you will collect and make sure the data is in the correct format from an API. The following is an example of a successful and launch.
Most unsuccessful landings are planned. Space X performs a controlled landing in the oceans.
- Collection data from API and web page
- Data Wrangling: transforming and mapping data
- Exploratory data analysis (EDA) by using SQL
- Exploratory data analysis (EDA) by visualization
- Interactive visual analytics and create dashboards
- Predictive analysis by machine learning
- Final report (PPT and PDF)
END