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180  Part II  •  Descriptive Analytics


                  Application Case 4.4  (Continued)


                       Spotfire software’s visual and computational  from the data that was previously not easily
                  analysis approach provides the CVC at Dana-Farber  attainable.”
                  and the research community at large with a bet-
                  ter understanding of the cancer vaccine clinical  Questions for Discussion
                  trials landscape and enables rapid insight into the    1.  How did Dana-Farber Cancer Institute use TIBCO
                  hotspots of cancer vaccine activity, as well as into   Spotfire to enhance information reporting and
                  the identification of neglected cancers.           visualization?
                       “The whole field of medical research is going    2.  What were the challenge, the proposed solution,
                  through an enormous transformation, in part        and the obtained results?
                  driven by information technology,” adds Brusic.
                  “Using a tool like Spotfire for analysis is a prom-  Sources: TIBCO Spotfire, Customer Success Story, “TIBCO Spotfire
                  ising area in this field because it helps integrate   Provides Dana-Farber Cancer Institute with Unprecedented Insight
                                                                  into Cancer Vaccine Clinical Trials,” spotfire.tibco.com/~/media/
                  information from multiple sources, ask specific   content-center/case-studies/dana-farber.ashx (accessed March
                  questions, and rapidly extract new knowledge    2013); and Dana-Farber Cancer Institute, dana-farber.org.






                                    sectiOn 4.3 revieW QuestiOns
                                      1. What is data visualization? Why is it needed?
                                      2. What are the historical roots of data visualization?
                                      3. Carefully analyze Charles Joseph Minard’s graphical portrayal of Napoleon’s march.
                                        Identify and comment on all of the information dimensions captured in this ancient
                                        diagram.
                                      4. Who is Edward Tufte? Why do you think we should know about his work?
                                      5. What do you think the “next big thing” is in data visualization?


                                    4.4  DiffeRent types of ChARts AnD gRAphs
                                    Often end users of business analytics systems are not sure what type of chart or graph
                                    to use for a specific purpose. Some charts and/or graphs are better at answering certain
                                    types of questions. What follows is a short description of the types of charts and/or
                                    graphs commonly found in most business analytics tools and what types of question that
                                    they are better at answering/analyzing.

                                    Basic Charts and graphs
                                    What follows are the basic charts and graphs that are commonly used for information
                                    visualization.

                                    line ChARt  Line charts are perhaps the most frequently used graphical visuals for
                                      time-series data. Line charts (or line graphs) show the relationship between two  variables;
                                    they most often are used to track changes or trends over time (having one of the vari-
                                    ables set to time on the x-axis). Line charts sequentially connect individual data points
                                    to help infer changing trends over a period of time. Line charts are often used to show
                                    time-dependent changes in the values of some measure such as changes on a  specific
                                    stock price over a 5-year period or changes in the number of daily customer service calls
                                    over a month.








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