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**Visualizations:**  I built the following using R (packages: dplyr, plyr, RColorBrewer) and the R API for Plotly, a browser-based charting library built on plotly.js. The code I used to clean the nanosatellites database data is available on GitHub here (https://github.com/dbouquin/IS_608/tree/master/NanosatDB_munging) along with the code I used to create the plots themselves (https://github.com/dbouquin/IS_608/blob/master/vis_final.Rmd). To generate the embed codes used on this site I pushed resulting plots to my personal account on Plotly. Plotly (https://plot.ly/~dbouquin/folder/home).  I wanted to illustrate the increasingly global impact of small satellites without creating misleading graphics that hid the drastic skew toward North America and the United States in particular; to do this I created plots that an end-user can interact with. A person can adjust the scale, zoom, subset, pan and more using the toolbar at the top of each plot, which is made visible by hovering the cursor over that area. A person can also click on the legends to deselect and select data as well as using the plots selection features to alter the presentation. I did not include in these plots any launches that did not have specified dates (TBD) or for which the launches were cancelled.