sk8 – Factors of being Content

#sk8

What is the difference between being happy and being content? Although basically synonyms, I viewed the two differently to conduct this study on myself. Happiness is the state where I feel worry-less. If I have a lot of work to do, I have more trouble staying happy in the moment. I might stress and act nervous before completing an assignment. Once the assignment is complete, I can lay back and, again, feel happy. During this waver of happiness, however, I remained content. Content in this situation means that I am confident in myself, my future, and that I am proud of the way I am acting. Would younger me be proud? Is older me going to look back with regret?

I noticed in my data that although I am likely happy when values for productivity and organization are lower. However, when I have a productive and punctual day, I usually have more faith in myself and my future. At that point, deciding between happiness in the moment or finding content in having faith for the future. Happiness or a future doe not have to be sacrificed all the time, but short term sacrifices to arise, and it is importance to have a wide perspective and set priorities. This is the conclusion I came to after this data: there is a balance between being happiness and content, and it is okay to sacrifice one for short periods of time. Knowing when you will find happiness again after being content for a while is important.

Sketch 8: Data Viz

For Sunday Sketch eight, I tracked five different, random categories from my everyday life. I tracked how happy I was with my previous night’s sleep, the happiness I felt towards my lunch, how satisfied I was with my lift, how satisfied I was with my social life in that day, and, lastly, how I feel mentally during the day. The graph shows some cool trends, when I sleep and eat well, my lift is better. Likewise, when I don’t have the best social interactions, my mental health decreases. This was the reason I chose what I did: I wanted to track things that were somewhat related, but very different at the same time.

The most evident trend is the correlation between sleep and my lift. I tend to workout in the morning, so, if I am not well rested, the lift will see the repercussions. Although this is a somewhat obvious relationship, I didn’t actually comprehend it until I saw it visually on the graph. Another evident relationship is between my lunch and how I feel mentally. This is less obvious to me as I didn’t think that my lunch had that much correlation on my mental state. That being said, there is a pretty clear relationship between the two. The outlier here is day 7(April 2). April 2 was a Friday which explains several things. First, it shows the lack of lunch. I have no class on Friday so I was able to sleep in late… very late. I missed lunch that day, but my mental health was still great. This is definitely related to the great sleep I had – seen on the graph – and the average satisfaction with my social life. Because I was asleep most of the day, I didn’t have the opportunity to hang out with my friends as much or participate in classes as I had none.

In conclusion, I learned how many factors in my everyday life are correlated. Although some were more obvious, it was not evident until I was able to see it visually.

Data Viz

Graph Produced on NCSS

With housing applications and the several quizzes and exams I’ve had in this short time span (and many more to come in the following weeks), I decided to track my overall tiredness levels, productivity levels, with my overall rating of my room’s tidiness. When I first heard of this assignment I immediately thought of scatter plots because that is an easy way to find if there are correlations or not. Unfortunately 4 dimensional or 5 dimensional scatterplots are hard to visualize, so I settled for a 3 dimensional one. The scales are all from 0-10, which is subjective by nature, but I just went off how I felt that day, so it is unfortunately not a very scientific process of scaling.

After taking down the data, I plotted a 3D scatterplot on NCSS and asked it to perform a regression analysis. In essence, I asked it to find any trends, which is indicated by the plane that looks like a red net. The error between this trend (the plane) and the data points is marked by the lines connecting data points to the plane. Overall, the more productive I was, the cleaner my room tended to be. The less tired I was the more cleaner my room tended to be as well, though a weaker correlation. There was no strong correlation between my tiredness and my productivity, which was strange. I wonder if this has any bad long term effects? In reality I could have plotted these three variables onto three two dimensional scatterplots and conducted analyses on all three, but I thought doing this was more fun, and I learned something new. Though this process was not very scientific it was still very fun and creative, but if I had to do this next time, I would probably try to make the scaling scientific and probably find an easier way to visualize the data if it had more variables.

Sunday Sketch 8 – Data viz from everyday life

For this Sunday assignment, I wanted to see the difference between days before my midterm and days after my midterm. The five categories that I chose are productivity, excitement, healthiness, tiredness, and quality of sleep. I tried not to be aware of my feelings and condition while I was gathering data, since I wanted to see the accurate result of my daily life.
After I made a graph, I could see the clear difference between days before and after the midterm. I was surprised that my tiredness level did not go down to 1 or 2 even after my midterm. Then, I realized that sleeping for a long time for one day after not sleeping enough for a few days does not make my daily condition right away. One more thing that surprised me was my productivity level on the day that I did not study at all. I learned that productivity level does not correlate to the amount of studying. However, I could see that the quality of sleep correlates to the amount of sleep, since there is a clear difference between days that I had enough sleep and 1-hour sleep. I think this is because I get too anxious even when I am sleeping because of my midterm. I found this assignment to be a valuable tool for self-analysis, since I could see my daily condition with my studying schedule in one graph. If I do continue this assignment in future, I want to focus on how I spend my days quantitatively.

Data Viz From Everyday Life

The concept I have chosen for this project was happiness. When analyzing how happy I am everyday, I identified five factors that would contribute to my happiness and wanted to see if those five were enough to determine how happy I was. The factors were time spent on phone, human interactions, productivity, stress, and exercise. Are these five categories enough to determine a broad level of happiness I was experiencing for the day?

After two weeks of data gathering, it can be concluded that there are far more factors that these five that determine happiness for me individually. The data is rather contradicting at times, one day I would have the complete opposite data of another day, but still end up having similar scores of happiness at the end of the day. However, according to the chart and data table, there seems to be a correlation between human interaction and happiness. The more I interact with people, the happier I am. When I stayed in my dorm room all day and barely contacted anybody, I felt lonely and in an overall bad mood. In order to score the five categories every day, I set up a 1-10 scale for each category. For example, for the productivity category, 1 would be no productive at all and 10 would be very productive. The judgment call I had to make using this scale was just exactly what score to give if I was just sort of productive and fell in between 1 and 10.

Before I started gathering the data, I wanted to know if having high scores in all categories would directly translate to a high score in happiness. That is why I used the graph above to visualize my data because it is very easy and simple to see the trends and correlations between the categories and happiness. These visualizations say that my life has a lot more factors that are tied into happiness outside of the five categories I chose to gather data on.

If I were to continue this project into the future, I would choose a different topic to measure instead of measuring happiness. I would choose a topic that does not have that many factors that influence the topic because it would make creating conclusions based on data and analyzing the data a easier. When attempting to analyze the data from this project I have done so far, it is hard to see how the categories influence happiness since there are so many other categories that effect happiness that I did not gather data on.

I have found this to be a valuable tool for self analysis since I am paying ore attention to my daily habits and actions more and looking deeper into what effects my emotions. From paying more attention to what makes me happy, I have come to the realization that going on my phone too much does not help with making me happy and if anything, puts me into a bored and dull mood.

Data Viz


For this Sunday Sketch, I focused on the number of assignments, hours spent on my phone, level of satisfaction of my day, quality of sleep, and hours spent doing something I like. I wanted to see how I spent my day and if I was satisfied with my productivity. I wanted to see the things I do unconsciously and what effect it has on my life. I have wanted for the longest time to evaluate if I am productive in my day and how I can implement healthy habits. Especially with the quarantine, I have been given so much time to figure out my workflow, and I have realized a few things. However, I have not taken out the time to do something like this assignment wanted me to do.

The weeks I chose to visual was the week after “rest” week and midterm week. I am not sure why, but after rest week, the first few days I was not getting quality sleep. I thrive off of sleeping. If I don’t sleep enough or have quality sleeps, it shows at least to me. At least, I was able to get somewhat quality during midterms. Before looking at the data visualized, I expected for the number of assignments and hours spent on my phone to be on opposite spectrums. It pretty much is except on Tuesdays and Thursdays. On those days, I have 3 classes, and it is the busiest days of the week. It is not what I was expected. For the first week, I was pretty satisfied with my days, and during midterms there is a little correlation with hours spent on phone and level of satisfaction. The more I am on my phone, the more satisfied I am. That makes sense but I am procrastinating more. Another variable is the hours I spent doing something I liked. I focused more on how much Netflix or Youtube I watch. Those are not the only things I like doing for myself, but they were easily measurable. I’m not surprised with the results for the things I like doing. Overall, I was not so shocked with this graph. It is nice to see this information is another perspective.

I liked the idea of this assignment, and I think I will try this out one more time. If I do it again, I want to focus on how I am feeling during different parts of the day. Focus more on my emotions rather than productivity. Afterwards, I could compare and really see how I am doing. Maybe, I could find out about certain things that stress me out without realizing. This method is a pretty cool way of self-analysis.

How Productive am I?

by Destiny Mascoll

For this Sunday sketch, I wanted to see how productive I was in the past two weeks of school. I decided to measure five things that I thought made me a productive student and family member. These two weeks were tough to push through despite the rest week, and it is apparent in the decline of hours spent on homework. The data also shows that the more I talked in my class zoom meetings, the less I procrastinated doing my work. This week I was not as productive as I wanted to be, but I am increasing my efforts to make it through the semester.
I chose to visualize my data through a chart because it felt like an accurate way to describe my week. If I could go back in time and redo the assignment, I would choose more categories because I think there are other factors I could have focused on. If I were to continue these visualizations, I would ask different questions to better understand how much I am doing in my life.

Data Reflection

Recently, I have been dreaming a lot more often, and a lot more vividly. I don’t exactly know why, but going back on melatonin supplements might be to blame.Either way I have always been a pretty vivid dreamer. I remember my dreams most of the time and they tend to be rather interesting. Since we’re getting towards the end of the semester a lot of my classes have ramped up and I wanted to see how my varying day to day stresses affected how stressed out I was in my dreams. Coming up with my “hypothesis” I expected my results to be, pretty one to one. It makes sense, after all it is speculated that dreams are a way of brains dumping everything not needed out. However when I recorded my finding there wasn’t much correlation, and what little there is seems to be negative.

I pondered why this might be. I came to a couple conclusions. One is that I might not of been entirely honest with myself when judging my stress levels. Dreams are pretty easy since I wake up and can tell what I felt instantly from the dream, but it’s hard putting an entire 15 hour day in a single number. I probably am more stress than I care to admit. It could also be that since dreams are a way of your brain deleting everything you don’t need, it would make since that if you’re not stress your brain would dump out stressful things and vice versa. The one that really stuck out to me was Wednesday. I don’t want to detail the dream but it was truly upsetting and woke me up way before I needed to be awake. I think it just formed from a cumulation of stress gathered over the past year just washing up all the sudden.

Sunday Sketch 8: Daily Productivity Visualized

Daily productivity shown as a bubble cloud

The two main questions I tracked for this sketch were “Throughout the week, how productive am I?” and “How is productivity defined?”. By the end of the tracking period, I would say I successfully answered both of my questions. I was not surprised to learn how irregular my productivity is each week. Some days I get a lot accomplished and other days not so much. I was also not surprised by the absence of exam review hours in the cloud. It is something that I plan to do everyday however I rarely get around to it. It was embarrassing to see how many big bubbles of social media usage are present in the cloud. Prior to this project, I knew I used it a lot but it was scary to see how much of my day is eaten up by social media. On days that I had fewer classes, towards the end of the week and the weekend, I tended to have a spike in hours of social media usage which is understandable. Although I could be using this time to make up for the lack of exam review or finishing assignments, I use social media as a form of self-care and procrastination.

One thing that did surprise me is that I was productive every single day. There was not one day that I did not do something or that I didn’t feel at least a little productive. I was always working on an assignment or personal tasks. This plays into my other central question of the definition of productivity. There are a lot of mainstream definitions that highlight getting school or work related tasks done. However, I think everyone has differing definitions of productivity. Personally, I believe productivity does revolve around school and work related activities but, it also includes personal tasks such as extracurriculars, housekeeping/errands, or self-care practices. By this definition, I was very productive everyday because in most, if not all cases, I did a large combination of school work and other personal tasks. It was important for me to make this designation because I often beat myself up over not being “productive” enough despite actually being very productive based on my own definition. It’s important to acknowledge that mainstream productivity is one sided and doesn’t account for a large array of other tasks. People may look down on others who don’t study for long periods of time but they don’t consider the other huge priorities and commitments that make up a persons day outside of studying.

I chose to use a bubble cloud because I wanted a creative representation of categorical comparison. The first design that came to mind was a stacked bar graph. It was simple and I wanted something that most people wouldn’t think to use. I researched good methods of comparing across categories and bubble diagrams were suggested. The cloud makes it more visually appealing and I am able to see the inconsistencies in the crowd (small amount of bubbles or abnormally huge bubbles). I enjoyed this project because it helped remind me of my unique productivity in a current time that pushes constant productivity through studying and staying on top of the mountains of assignments assigned each day. It’s also really important for me to analyze my productivity in the hopes that I can make changes to my routine to tailor it so that I am more or less productive while maintaining my overall personal health.

Data viz of Excitement and Productivity

For this Sunday Sketch, on a scale of 1-10, I decided to track the five categories: Productivity, Creativity, Excitement, Zen, and Fun. The main reason why I chose these categories is because I wanted to see how my emotions impacted my ability to complete work. I chose to display my data as line graph was to see if there was any correlation between any of the categories. I found that there are some relationships. One example would be the relationship between excitement and fun. On 3/18 and 3/19 I had excitement levels of 8 and 9, respectively, because I was excited to see someone I had not seen in a long time. I saw that person on 3/20, and we did many fun things. That was why my fun level for the day was a 9. Another interesting relationship is between excitement/fun and Zen. 3/22 was a Monday, and I have four classes on Monday, which is definitely a cause of stress. Therefore, on Mondays, I rarely feel calm and my zen level was rather low.

From this ten-day trial, I believe that my emotional state does not have a strong impact on my productivity and creativity. I believe this because there is no correlation between any emotionally based category (excitement, Zen, and fun) and productivity related category (productivity and creativity). If I were to do this project again, I would not change much. If I were to change something, I maybe would be stricter on how I ranked each category each day to give the data more variance. The data for each day will never be perfect because there are so many extra variables to take in account. One example is the amount of work I actually have each day. If I only have one assignment to complete, and I completed then I would think I was rather productive. However, if I have multiple assignments and fail to complete one, I would not consider my day as productive even though I probably did more work.   A change I would make to the data gathering would be to make it even more strict. I think if I had more variance in the data, I would be able to see more defined relationships between the categories. I thought this assignment was especially useful tool because able to analyze trends that are occurring in my life. I am happy to know that my excitement and fun levels are not affecting my productivity.