The final project will download data from the CalTech IPAC Exoplanet Archive using the TAP query service.
The report will provide some education in astronomy in order to explain the data, but it will also assume the audience already has a basic knowledge of astronomy and exoplanet research.
review the methods (i.e astometry vs spectroscopy vs microlensing etc ) and the quantity and quality of their discoveries.
review the missions and the quantity and quality of their discoveries.
produce distribtions of important attributes ( radius, mass, eccentricity, etc.) How normal are these distributions ?
produce a geographic representation of the discovered exoplanets in relation to the Earth using and citing this codebox software
use linear regression or other predictive methods to speculate on future discoveries.
Python for data processing and plotting.
Shiny R to allow a user interface into the data.