Project Visualization

Visualization One:

Subject: “Homophobia” Occurances vs. Date

Technology Used: rawgraphs.io

Format: Bubble Graph

From this visualization of my data, I am able to see which years, out of the 26 studied, contained the most occurances of the word “homophobia.” The circles correspond with the dates printed in the middle, and they show the largest number of occurances. Using the data above, I learned the the highest number of occurances happened during the mid-nineties and late 2000s. Unfortunately, this display format masks the lack of information present for 1998 and 1999. The visualization also appears more to aesthetics than actual data presentation, which skews the overall understanding by drawing away from the presented facts. It does, however, provide and easy-to-read visual representation that makes sense to viewers unfamiliar with text analysis. It also required no alteration to my data other than choosing the parameters for the graph itself. In making this visualization, I chose to use the date as both the label and the color scheme, while choosing occurances of “homophobia” as my hierarchy.

 

Visualization Two:

Subject: “Gays” vs. “GLBT” Growth Over Time

Technology Used: https://plot.ly/create/

Format: Line graph

Using this visual representation of my data, I am able to view chronologically the evolution of the “GLBT” acronym paired against the use of the word “gays” within the Ring Tum Phi over the span of 26 years. The blue line represents the occurances of the word “gays,” while the orange line represents the occurances of the acronyn “GLBT” specifically. There was a large spike during the 1980s of the word “gays,” while there is a steady decline beginning in the year 2000. This graph provides an easy-to-read visual demonstration of how two pieces from the same data set can be compared  and plotted against each other. Like the previous graphic, this did not require any sort of alteration to my data set other than determining the parameters for the X and Y axes. In this instance, because my project is rooted in studying changes over time, I chose to use years as my X-axis and then occurances of “gays” and “GLBT” as the two data sets to plot. Unlike the previous graph, this graph shows the lack of data present for the years 1998 and 1999.

 

Visualization Three:

Subject: Evolution of “LGBTQ” Related Acronyms vs. Appearance of Gay/Straight Alliance Over Time

Technology Used: https://plot.ly/create/

Format: Line Graph

With this line graph, unlike the one previously mentioned, I used the similarities of the data sets to compare the overarching evolution of an acronym over time within the Ring Tum Phi. Four of the lines correspond with the acronyms “GLBT’,” “LGB,” “LGBT,” and “LGBTQ,” and the fifth line demonstrates the occurances of the Gay/Straight Alliance in the newspaper. The Alliance was studied by using the Regex formula \b[Aa]lli. in Antconc and manually sorting through references that did not apply to the Alliance. This graph demonstrates how different waves and updates to the acronym swept through campus through the early 2000s, and it shows the rise and fall of the Alliance’s representation on campus. This graph allows viewers to make a visual comparison of the change over time of an acronym in comparision to active student allied participation. Unfortunately, this graph does not continue to a later time, allowing viewers to draw sounder conclusions from this highly-fluctuating piece of data.