datasets were still partially incomplete. To combat this, we utilized another free tool called Hydrator. This tool allowed us to collect more complete data about a tweet based solely on the tweet ID1. With these tools, we were able to create accurate and complete datasets. With regards to the Dunbar HS shooting, our team has decided that not enough tweet data exists for this particular shooting. We believe that creating visuals for it would not accurately portray the general public’s emotional and statistical response from the shooting. Therefore, there are no visuals pertaining to the Dunbar shooting dealing with tweets in our Supplemental Material included with this report. There are several pertaining to URLs from websites referring to the shooting. FUTURE WORK The creation of a host of visuals was our main goal for this project and since we’ve been able to achieve that, there are no set goals for future work. It is possible that our client may wish to expand the set of visuals to include other kinds of visuals that portray other kinds of information. If that is the case, the data provided in the Supplemental Materials section of this report, as well as the Developer’s Manual, will aid in the creation of more visuals. In the future, in place of the Dunbar HS shooting, our client may choose to analyze the response from a different school shooting. If that is the case, data on the new subject could be collected and analyzed as we have done with the other nine cases. ACKNOWLEDGEMENTS Dr. Donald Shoemaker, client Jason Callahan, project liaison Ziqian Song, GETAR liaison Liquing Li, GETAR liaison The Data Visualization Studio in Newman Library, Virginia Tech Dr. Fox, CS4624 Capstone Professor NSF for funding GETAR through grant IIS-1619028 REFERENCES Summers, Ed., Hydrator, (2017) GitHub repository, , accessed March 15, 2018 Steven Bird, Ewan Klein, and Edward Loper (2009). Natural Language Processing with Python. O’Reilly Media Inc. , accessed March 17, 2018 Jefferson-Henrique, (2018), GitHub repository, , accessed March 20, 2018 (2016), , Virginia Tech, accessed April 2018 Tableau, , Tableau Software, INC., accessed March 2018 Jason Davies, , accessed March 18, 2018
datasets were still partially incomplete. To combat this, we utilized another free tool called Hydrator. This tool allowed us to collect more complete data about a tweet based solely on the tweet ID1. With these tools, we were able to create accurate and complete datasets. With regards to the Dunbar HS shooting, our team has decided that not enough tweet data exists for this particular shooting. We believe that creating visuals for it would not accurately portray the general public’s emotional and statistical response from the shooting. Therefore, there are no visuals pertaining to the Dunbar shooting dealing with tweets in our Supplemental Material included with this report. There are several pertaining to URLs from websites referring to the shooting. FUTURE WORK The creation of a host of visuals was our main goal for this project and since we’ve been able to achieve that, there are no set goals for future work. It is possible that our client may wish to expand the set of visuals to include other kinds of visuals that portray other kinds of information. If that is the case, the data provided in the Supplemental Materials section of this report, as well as the Developer’s Manual, will aid in the creation of more visuals. In the future, in place of the Dunbar HS shooting, our client may choose to analyze the response from a different school shooting. If that is the case, data on the new subject could be collected and analyzed as we have done with the other nine cases. ACKNOWLEDGEMENTS Dr. Donald Shoemaker, client Jason Callahan, project liaison Ziqian Song, GETAR liaison Liquing Li, GETAR liaison The Data Visualization Studio in Newman Library, Virginia Tech Dr. Fox, CS4624 Capstone Professor NSF for funding GETAR through grant IIS-1619028 REFERENCES Summers, Ed., Hydrator, (2017) GitHub repository, , accessed March 15, 2018 Steven Bird, Ewan Klein, and Edward Loper (2009). Natural Language Processing with Python. O’Reilly Media Inc. , accessed March 17, 2018 Jefferson-Henrique, (2018), GitHub repository, , accessed March 20, 2018 (2016), , Virginia Tech, accessed April 2018 Tableau, , Tableau Software, INC., accessed March 2018 Jason Davies, , accessed March 18, 2018
VisualDisplaysofSchoolShootingDataReport.docx