Last week, we have learned a bit more about Palladio through how it graphs its given data. It became an interesting experience as it presents itself as another way to help people understand information through visualizations. This is similar to mapping data from analyzing what we visually see and then be able to relate to it. According to the Demystifying Networks reading, it explained how representing the information through networks implies in comprehending whatever is going on. I was able to see how networks analyze data from the dataset during the tutorial in class.
First, I loaded in the dataset that provided the people and relations that they had. The data that I used was about the people who offered to help others who were facing some trouble during WWII. Then, I set up the settings that provided an outline between the givers and receivers. Finally, I narrowed down both the facet and timespan filters, which quickly reduced the number of people and relations. In comparing these two visualizations, I noticed some differences when playing around with the timespan. The timespan in the second picture expands “between 0011-12-22 and 0013-12-29” in which it shows the each of the relations between the contributors and receivers. The larger relation from both of these pictures show that they kept the same relationship as time passed by. However, there were some differences between the smaller relationships as they expanded a bit throughout time.
In conclusion, analyzing data through networks is useful in providing an understanding of the information and offering an explanation to what it represents.