How Satisfied Am I With Myself?

For a week, I tracked various categories that I believe ultimately play a factor in my amount of satisfaction with myself at the end of the day. These categories covered various areas throughout my day such as my work, food intake, leisure, and sleep. While there are many aspects of the day, sometimes very specific aspects, that can affect my satisfaction with myself at the end of the day, these categories were chosen to give a more general outlook at how my satisfaction is affected by my overall day. By doing so, I can analyze the data and draw out possible connections between my satisfaction and the various categories.

I decided to use a line graph to represent the categories as it’s simple way to view multiple data set and easily point out interesting patterns, similarities, or differences, between the data. According to the visualization, I feel more satisfied with myself generally when I have spent more time doing work or studying and less time on leisure, or time outside. As expected, my satisfaction levels correspond directly with the amount of work that I am able to get done and somewhat indirectly with leisurely activities. Another interesting observation is that my satisfaction levels also seemed to correspond to the amount of sleep that I got. The more time I spent sleeping, the more I feel satisfied at the end of the day.

I’m confident that if I was to continue this project as it is into the future, the results will more or less stay the same. In order to look more in depth, I would try to find a way to observe more specific aspects of my life and how they affect my satisfaction. This project is indeed a valuable tool for self analysis as it allows one to be able to draw conclusions not solely based off of one’s opinions of themselves but rather by their actual behavior and habits.

DEPRESSION, DESPONDENCY, AND DEJECTION

The past week, for me, has been pretty depressing. Unlike the other assignments, this Sunday sketch assignment took up a significant amount of time. My goal was to simplistically quantify a subjective quantity, such as depression, based on specific categories. The five categories: loneliness, study/work, talking with family, sleep, hangouts. The results were satisfying, to say the least. The categories selected had a relatively radical influence on depression. Loneliness contributes to depression, while sleep has a neutral effect (because I would usually sleep if I was depressed). Studying, talking with family, and hanging out decreased the effect of depression for me.

I decided to use time as the unit of measurement for the categories, the greater the amount of time the greater the effect that category will have on my depressive mood. After analyzing the data collected from the past week, I could conclude that I have been in a more depressive mood at the end of the week than on weekdays. I chose to visualize the five categories in the form of a timetable as it was easier for me to quantify depression on the final scale. The final scale was a simple bar graph showcasing depression in numerical form.

The project has done a surprisingly good job. If I were to continue with this project in the future, I would’ve continued with it similarly as I did the past week, though, I would add more variables to the equation to bring about more accurate results.

Link to the assignment is here.

Image credits: https://www.theodysseyonline.com/brief-visualization-depression

Sketch 9: Data viz from everyday life

Due: 11/10

Tag: sk9

When Mason Currey wanted to understand how he could manage to produce more creative work despite the challenges of everyday life, he set about studying how a bunch of other famous creative people organized their daily lives and what routines they established for their own creative work with the assumption that there were valuable lessons there. Daily Rituals was the result of that research — and then a number of different people and organizations have set out to visualize the insights of that book so that we can see larger patterns in the midst of all this biographical information. Podio’s graphic, which is the feature image on this post, is one of those (check out their site for the interactive version)

For this sketch assignment, you will choose one concept in your life that you want to analyze, something that is not already easily and obviously measured, or doesn’t vary within the span of a day or a week (good categories: awesomeness, mindfulness, healthiness, creativity, productivity, and similar … bad categories: number of steps, hours of sleep, caloric intake, how good is my eyesight?). Decide on a set of about 5 categories that you can use to measure that concept in your life and track those categories for a week or more, then you will produce a visualization of the data that you have gathered and use that visualization to help you understand something about your own life that might not be obvious from your own day to day activities.

Tracking Data

If you’re looking for suggestions about what to track, browsing the “quantified self” tag at Lifehacker might be worthwhile.

Once you’ve got categories, create a spreadsheet where you can track those categories throughout the day. Either take notes in a journal or on your phone and enter the results into your spreadsheet at set intervals, or make the spreadsheet in Google Drive and access it from your phone, or use the site Trackthisforme, or install a tracker app on your mobile device (I found some by searching for “quantified self” apps).

In “How to Track Everything in Your Life Without Going Crazy” and “Fill Out This One-Minute Form Every Day and Find Out Why Your Life Sucks (or Doesn’t)” Adam Dachiss has some useful suggestions for measuring stuff in your life. “Why You Should be Tracking Your Habits and How to Do It” by Belle Beth Cooper is also useful. However, all three of those articles are a few years old now and might not be perfectly applicable.

Whatever method you use, the key activity is to decide what you are going to pay attention to and then to create a system that is manageable for your life for the span of a week wherein you will quantify information about your self or your behavior.

For example, one step of this process might be to decide to measure how happy you are and to create a spreadsheet with a column for “Happy.” Then when you wake up in the morning, while you’re waiting for the coffee to brew, you’ll pull up the spreadsheet and enter a number between 1 and 10 indicating how happy you feel. You will continue adding rows at some set interval (every hour maybe). You will probably have some columns that are a little less subjective than “how happy do I feel right now?” (like “how many times did I talk in class today?” or “how much time did I spend studying?” “how many minutes have I spent looking at my phone in the last hour?”). You can decide how objective or subjective your categories are, but recognize that those decisions will impact the sorts of conclusions you draw from this process.

For now, you just need to decide what you will track and then to be as meticulous and careful as you can be about actually tracking this information either directly into a spreadsheet or in a format that can easily be transferred into a spreadsheet at the end of the week.

Visualizing that data

Now that you have gathered your data, it’s time to analyze it further and visualize it.

With the data set that you’ve gathered, which is just for a week or so and only with a handful of variables, you probably won’t need a computer or special tools to analyze it. However, you might find loading your data into a spreadsheet (like in Excel) if you haven’t already been keeping it in that format will help you a lot to analyze it and see patterns in the data.

Because this is an assignment about collecting data about your own life, there is room for you to decide how “scientific” you want to be with your project. Even if you have never used spreadsheets for much of anything, try to quantify your data as much as you can and make an effort to be detailed and accurate with your information, but that said the types of data you chose to collect and the category you’ve decided to study will have a huge impact on the type of analysis you undertake. It is okay for you to have some more subjective categories and it’s okay if your final analysis or visualization is somewhat subjective too.

Tools

There are numerous methods you can use to create your visualization — anything from paper and crayons/markers/pencils to sophisticated data visualization software like Tableau. MS Excel also has some pretty sophisticated charts that you can create from your data. And there are also lots of free online tools that you can use too — it’s admittedly been a year or more since I really surveyed the set of free tools available, but I’d probably still recommend Infogram if you want a free web-based infographic maker and aren’t sure where to start.

For help deciding what type of chart or graph might be most effective in visualizing your data, consult the Data Viz Catalogue (it might be most helpful for you to switch to the “sort by functions” view at the top of the page).

Digital Images

Hand-drawn charts and graphs are perfectly 100% acceptable, if that’s what you prefer. However, please do not spend lots of time carefully crafting hand-drawn charts and then snap a crappy picture of them on your cell phone to post to the web. There are lots of scanners available on campus that you can use to scan your chart into a high-quality JPG image — I’d suggest that you take a quick trip to the Media Lab on the 4th floor of the library and scan your drawings. That space is underutilized and an excellent resource that you should know about.

If you create your visualizations with an online tool, just make sure that you can export them as a JPG image, or that you can at least take a good screenshot of your work.

Publish

Publish your charts as a sketch post to your site. Identify what conceptual issue you were tracking or what question you wanted to answer (or begin to answer). Include 2 or 3 paragraphs explaining what conclusions you have drawn from the data that you collected. Were you able to answer the question you had posed for yourself? What sorts of judgement calls did you face while gathering the data? Why did you choose to visualize your data in the manner that you did? What do these visualizations say about your own life? If you were to continue this project into the future, would you go about it in pretty much the way you have done this week or would you do things differently now that you have looked at the data to this point? Have you found this to be a valuable tool for self analysis?