The Secret Language of Comics

Sketch 8: Tracking Soreness

I decided to track how sore I was on a scale of 1-10 every day. With basketball season beginning, I wanted to see how sore I was on each day, and how it related to how much I played and how much sleep I was getting. How does my daily routine regarding sleep and physical activity impact my body? Throughout the collection of my data, I realized that the earlier I woke up, the more sore I was. In addition to this, the more basketball I played, the more sore I was the next day. I also kept track of where I was sore, which was interesting to see the variation.

I decided to do a calendar format in order to represent each individual day. I included the date, what time I woke up, and how many hours of physical activity I had that day. I decided to use a front and back outline of a human body, in order to visually represent where I was sore. I included the rating out of ten, and each number represented a different color depending on the intensity of soreness. The lower levels of soreness were green, while the higher levels of soreness were red. While collecting my data, sometimes it was hard for me to decide on a set number out of ten. Some days, my calves would be hurting 8/10, but the rest of my body was only a 4/10. These days were difficult for me to decide on a set number, but I usually took the average. If I were to continue the project, I would probably use the same format, however I might shade in the whole human body and do different colors for different body parts depending upon my level of soreness.

file:///Users/carolineconnelly/Downloads/Sketch%208.pdf

Sketch 8: Data Visualization

I decided to analyze the correlation between food that I consumed and my level of happiness. The reason I chose this topic is because my mom used to always tell me that food is very important for my mood and as a result my productivity. So to test this, I decided to record where I ate my food, the rating I gave the food that day, and my happiness after a meal. Both ratings of my happiness and food were on a scale from 1 to 10. As a baseline for my investigation, I ensured that my breakfast remained consistent every day, consisting of a banana and a prepackaged protein shake, which I consistently rated as a 5 since the taste of this meal did not vary.

I measured my data through Google Sheets, updating the data set each time I had a meal. After 2 weeks straight of data I created a scatter plot and a bar chart to visualize the results. I chose a scatterplot to see if there was a correlation between wether food did have an impact on my mood. From the visualization, I was able to see a positive correlation. The higher the rating of food I had for a meal the more likely I was to be happy during that time of the day. Additionally, I used a bar graph to visualize if certain locations had a more positive average food and happiness level rating. The bar graph indicated that eating out resulted in the highest average happiness rate and food rating.

If I were to continue this study for a longer period of time I would look to ensure that there is less variation that could affect the results of the study. For instance, I would incorporate physical activity everyday to control for the effects of exercise-induced dopamine release on my happiness levels. However, overall these findings were very helpful as I was able to conclude that the taste of food can affect my happiness levels to some extent. Additionally, this data allowed me to see where I most enjoyed the food and allow me to better plan my days to ensure I am the happiest and most efficient I can be. Overall, I found this activity very interesting and would implement another study in my life to see if I can find out more interesting insights about my lifestyle. 

Sk8-

The question I was tracking for this sketch was what does my mood look like throughout the week? To answer this question, I quantified my feelings of accomplishment and annoyance at different times of the day.

Firstly, I gave myself a score from 1-5 (1 being the least extreme while 5 being the most) for each category I was tracking. I chose to display the data in this format because I feel its the easiest to read out of the options for graphs. While this format does not outright display the raw data, since it gives the percentage out of the day I was x annoyed/accomplished, it was not overwhelming in data like the other graphs since I tracked my mood at many times of the day.

General trends I saw after this sketch were:

  1. I was not that annoyed/accomplished during sleep/bed as during other times.
  2. Even though the graph doesn’t display it, the average annoyance was higher than average accomplishment level. I guess that’s expected since there are more things to get annoyed about throughout the day.
  3. the feeling for accomplishment was more sporadic throughout the day than feeling annoyed. This trend was a bit interesting since one would expect it’s generally easier to be annoyed at anything than the feeling of accomplishment. However, thinking back to when it happens, annoyance occurs usually in afternoon classes and/or things at night such as not completing work or annoyances while working in my dorm; I’m not really annoyed in the morning hours.
  4. Feeling accomplished and annoyed can happen at the same time. One would think these feelings would be opposites, however, that is not the case. I even remember some scenarios where i explicitly felt these 2 emotions- I had to complete my biology post lab for my group members when it wasn’t my sole responsibility. I got the feeling of accomplishment for completing the task, however, I was very annoyed at them.

I would definitely continue this project in the future is inputting my mood levels was much easier. As a lazy person, i was somewhat hard to input the mood at each timeslot, often resulting in me trying to remember how I felt for each time that day at night. Additionally, to visualize the trends better, I would create trends for each timeslot and see how it progressed from day to day.

Sk8: Data visualization for my happiness every day


The primary question I sought to answer was: how closely does my objective recording of factors contributing to happiness (such as exercise, sleep, diet, leisure, and social interaction) correlate with my subjective feelings of happiness on a day-to-day basis?

Drawing from the data, there’s a noticeable correlation between days with higher levels of exercise, satisfactory diets, and ample sleep with increased feelings of happiness. This suggests that physical well-being significantly influences emotional states. However, there are instances where even with adequate sleep and exercise, the happiness score is relatively low. This could be attributed to factors outside of the recorded parameters, perhaps work-related stress or personal issues. The decision to visualize this data using bar graphs was to offer a clear comparison between external factors and internal feelings on a day-to-day basis. The visual representation showcases the ebb and flow of happiness, emphasizing that it’s a culmination of various factors, some tangible and others intangible. In addition, the charts show a clear trend: the closer I get to the weekend, the higher the happiness index. That is because social interaction plays an important role in my happiness. I love to gain energy and get refreshed during the interaction with my friends.

If this project were to be continued, it might be beneficial to refine the categories. For instance, breaking down “leisure time” into specific activities could offer more precise insights into which leisure activities contribute most to happiness. Furthermore, tracking other variables like stress levels or external factors (like weather or significant events) could add more depth to the analysis. Data visualization proves to be a valuable tool for self-analysis for me . Visualizing personal data in this manner offers a unique perspective on one’s life and can be a guide for making informed decisions to enhance well-being. Nonetheless, this endeavor underscores the importance of holistic self-awareness and the intricate dance between our external actions and internal emotions.

Data Visualization

For this assignment, I decided to track my hunger and energy levels throughout the day, hoping to answer the question “How does my hungriness affect my energy levels at different times of the day?” This was an area of interest for me because I find my energy and hunger frequently fluctuates throughout the day and I hope for both to be more consistent. I also wanted to track to see if there was any correlation between the two categories. I decided to track these categories at 4 different times of the day – 10:00 AM, 2:00 PM, 6:00 PM and 10:00 PM. The timing of when I eat influences the results, so I tracked my energy and hunger on a scale from 1-10 before I’ve eaten that day, after I eat lunch, before I eat dinner, and after I’m done eating for the day.

Once I finished my data collection, I tried to find patterns in the table but it was too difficult so I averaged the values and created a line graph. At first, I was hesitant to average because I knew there were differences from one day to another, but I knew it would help to see a larger general trend.

I realized immediately the correlation between my hunger and energy throughout the day. Both followed a similar pattern of ups and downs throughout the day. What surprised me was how clear the dip in both categories was at 2:00. I usually eat lunch around 1-1:30 so it makes sense that I’m not hungry afterwards, but my energy had the exact same pattern. I tend to skip eating breakfast in the mornings, so typically lunch is my first meal. Looking at the visual, it appears that eating my first meal of the day around noon causes me to feel tired and have low energy shortly after. At the same time, it’s hard to determine causality because there are several other factors. For example, I try to go on a run every day, which is typically in the afternoon. That would explain why I have much higher levels of energy and hunger around 6 since that’s after I’ve finished my run.

I was able to address the main question for this assignment by seeing a clear association between hunger and energy. Now that I can see my data clearly, however, I would make changes if I were to continue this project in the future. I couldn’t draw conclusions about causality because there are lots of variables that influence my energy, so I would include other categories like exercise and amount of sleep the night before, as well as separating the weekdays from the weekends. Still, this assignment was a useful tool for self analysis because I realized that maybe I wouldn’t feel so tired after I eat lunch if I began eating something in the morning, even if it is just a granola bar.

SHEAR Data Visualization

The most important thing I wanted to measure was my personal well being, and specifically how much I’m improving myself from before. Because of this, I decided the 5 most important things I wanted to track were (in no particular order): Sleep, Happiness, Exercise, Academics, and Relationships.

Using an Excel spreadsheet, I would rate how I subjectively felt every day as I got ready in the morning about the day before in all the categories, with the exception of Sleep (for which I used data gathered from Pokemon Sleep — strongly recommend!). I did this from the dates of 10/22 (Su) to 10/28 (Sa).

Looking at this data as a graph made me notice quite a few things about my life habits in each category. For example, I realized that sleep was rather inconsistent, which is something I am going to work on improving. However, on the day I slept the most (Friday), I recorded rather low scores in Happiness, Exercise, and Academics. Overall, I think this was a good way for me to hold myself accountable in terms of constantly becoming a better person, as I can see where I can improve myself on each day so I can hopefully live a life where I can confidently record constantly higher scores. It achieved the goal of helping me understand myself better, and I plan on continuing to track my self-scored data for a while to see whether I am actually improving myself.

Sketch 8: Data Visualization

I wanted to see the effect my stress and anxiety levels had on the amount of food I ate daily. I know I am prone to stress-eating but I wanted to see just how much my food intake is tied to my mood. Since I am a business major, I immediately thought it best to use Microsoft Excel to create some charts and calculate the regression (determines correlation). I asked myself how I felt at the beginning of each day for two weeks to track stress and anxiety on a 1-10 scale. I estimated my calories for the day at the end of the day, something I got good at when dieting for various sports in High School. Comparing stress and anxiety showed an immediate correlation that can be seen on this very nice chart.

I used a t-test because I had under 30 data points. T-tests are known in statistics for being slightly less reliable than their cousin the z-test which can be used with more data like the nationwide census. 

It was clear to me after looking at the data that my food intake was directly related to my stress and anxiety levels. This line-fit plot tracks regression and passes the t-test proving correlation. 

Knowing this means I need to stay conscious about how much I am eating and the motives behind that. By the end of the week, I started asking myself how I felt when I sat down in the DCT. I found that being more conscious about my consumption made me more mindful and I enjoyed my food more even on days when I was stressed. When tracking stress and anxiety I found that it grew throughout the week when I had a test on a Wednesday or Thursday, but then fell dramatically on the weekends when I have more time to get work done and relax. This exercise in asking myself how I’m feeling at the beginning of the day was clearly an excellent tool that I will definitely keep in the future. I would not change anything if I had to redo this project or continue it int he future. 

Below are my calculations used to make the charts as well as my raw data. 

“I’ll sleep early tonight”

This quadriptych was inspired by a common experience I have whenever I sleep, where I can never seem to find the right temperature. In the comic, the protagonist (me) tries to sleep at a reasonable time, but is kept up by the cruel indifference of the changing temperatures, which I’ve exaggerated through hyperbolic imagery. When thinking about the story that I wanted to tell through the quadriptych, I realized that the addition of one extra panel exponentially increased the possible creative directions I could take in crafting a story. Having the middle act take up two panels allowed me to quite literally double the breadth and depth of the story, making even a simple story such as this be more detailed than what would’ve been possible with a triptych. All of this opened my eyes at how much work goes into writing an entire book in comic form, and made me appreciate the creativity of all the comic artists we’re reading from in class.

Tracing Pages Reflection

My thesis statement was: Through the different zoom in and out effects, color schemes, number of panels, and the common theme of isolation, they highlight the universal human struggle to connect with people and having to navigate their adolescence independently. I argued that Walden and Small used similar themes, and  techniques to emphasize the larger theme of isolation that is depicted in both comics. 

Most of my thoughts came from tracing and annotating, and it helped me design my outline structure for the analysis. While tracing the panels, I was able to make a list of similarities and distinctions that helped me identify my bigger theme/thesis. It was distinct from my previous writing in that it anticipated what I would write about and the format of my writing. In comparison to other types of writing, I would have taken my time and worked it out as I went rather than having an outline and efficiently executing it on paper.

I do feel like I got to understand the “secret language of comics” when doing the close reading exercise. I was able to pay close attention to each panel and different or similar techniques each author uses to analyze the theme.It helped me understand why the authors chose various options in each panel to invoke specific emotions or to make a general theme. Although I cannot relate to both situations, I believe I have a better understanding of Stitches and Spinning.The single biggest insight I gained was how both authors have a common theme and they convey that message using similar techniques in some panels. For example, the use of zoom in effects Small uses to emphasize his emptiness and isolation and zoom out effects shows the isolation Walden is facing.

 It was challenging for me to shift my writing style to an inductive essay because I forgot to develop my thesis statement and just started writing. In the past, I would have my thesis statement planned out first and would easily execute it with both paragraphs. After writing each paragraph, I had to find out what my thesis was and then go back and change the paragraphs to align with my thesis statement. 

Link to my analysis: https://lifeofkidu.wordpress.com/2023/10/17/solitude-tracing-stitches-and-spinning/

Link to my tracing ; https://lifeofkidu.files.wordpress.com/2023/10/thinking.pdf

Literacy Narrative (part 3) Reflection

Photo Caption: Revisiting this narrative allowed me to connect my work with others’ narratives, as well as with the audience. (Photo Credit: VectorStock)

Returning to my literacy narrative after completing the comic felt as if I was starting with a rough sketch of my final work. The comic provided me with the opportunity to take a linear, essay-like story and turn it into an actual story that portrayed all the accompanying emotions as well. I feel like this final literacy narrative is similar to that of my classmate Tim Yau, as both of us highlighted a single event in our lives, a “spark” that put us on the path towards where we are now. Both of us were struggling to find meaning in our writings, but they ultimately came together to form a piece we were proud of, using inspiration from our own ideas and, in my case, experiences. This connects to the “Critical Thinking and Reading Resulting in Writing” learning outcome, as I am using the ideas of my classmates to make connections and gain a deeper understanding of my work. It also allows me to see how I can make my narrative more relatable; if I see that there is a common theme among several different narratives, I can assume that using the theme in my own narrative will make it more relatable and interesting to the reader.

The entirety of this project connects greatly to the “Writing as a Process” learning outcome. Having the conference with Professor Morgen really opened my eyes to how extensive of a process writing can be. In the past, I have only written one or two drafts before submitting what I had and moving on, never coming back to the work again. However, because this project would be worked on and edited throughout the semester, I was forced to go back to my original draft(s) and reread them so I could find things that needed to be fixed and make it the best writing it could be. This also relates to the “Rhetorical Composition” learning outcome because of the change in writing style and organization I was forced to take over the course of this project. One of the biggest things I kept in mind throughout this project was my audience, and how I could create a story that I was proud of and that anyone reading my work would be interested in and connected to. As described in the learning outcome, I used a variety of different technologies during this process, including Grammarly to help with common mistakes I make, including passive versus active sentences. I also used a drawing platform to create my comic for part 2 of this project. The use of a variety of platforms has widened my horizons of what writing can look like–it is not limited to only words on a page.

I thoroughly enjoyed this project, and I can say that, without a doubt, it has allowed me to flourish as a writer, an artist, and a person.

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