The relationship between my journaling habit and my sleep

By increasing the time journaling, the quality of my sleep will improve.

The more time I spend journaling before bedtime, the longer I tend to sleep, and the higher the quality of my sleep.

An overview of the data

I collected data for a total of 53 days, gathering information once per day. The overview of the data collected for this project involves insights into the diary-keeping habit, sleep patterns, and mood evaluation scores. The primary goal is to explore the correlation between journaling duration, sleep duration, and mood evaluation scores. The chosen visualization format is a bubble plot, with the X-axis representing journaling duration, the Y-axis indicating sleep duration, circle color signifying mood evaluation, and circle size reflecting word count.

I think I can draw preliminary conclusions from the current data, but because the data is not very comprehensive, more data may be needed to verify my hypothesis.

click here for the link to the data.

Journaling Duration (X-axis):
• Type: Objective, Continuous numerical data.
• Units: Minutes.
• Reason for Collection: To understand the relationship between the time spent journaling and its potential impact on sleep quality.

Sleep Duration (Y-axis):
• Type: Objective, Continuous numerical data.
• Units: Minutes.
• Reason for Collection: To understand the relationship between the time spent journaling and its potential impact on sleep quality.

Mood Evaluation (Circle Color):
• Type: Subjective, Categorical data.
• Values: Typically ranged from 1 to 5 (e.g., 1 = extremely horrible; 2 = somewhat horrible; 3 = calm; 4 = somewhat great; 5 = extremely great)
• Descriptors: 1 = Feeling overwhelmed, distressed, and utterly unhappy; 2 = Experiencing discomfort, sadness, and unease, but not as intense as the lowest point; 3 = Sensing tranquility, a lack of extreme emotions, and a general sense of calmness; 4 =Experiencing contentment, satisfaction, and a sense of well-being; 5 = Feeling ecstatic, joyful, and on top of the world.
• Reason for Collection: To assess the mood associated with each journal entry.

Word Count (Circle Size):
• Type: Objective, Continuous numerical data.
• Units: Number of words.
• Reason for Collection: To explore the relationship between the length of journal entries and other variables.

An example of the dataset

"date": "26 Nov",

"journalingDuration": "00:31",

"numberOfWordsInDiary": 622,

"sleepDuration": "07:53",

"moodAssessment": 4,

"month": "Nov"

Conclusion

Most circles are concentrated within the 20-minute duration range of the journal, and variations in sleep duration appear to be relatively small. This concentration may be attributed to a limited dataset, suggesting the need for more comprehensive data collection. Despite the observation of a positive relationship, it is noteworthy that the correlation is not markedly robust. However, the instance with the longest journaling duration, while not reflecting the longest sleep duration, is accompanied by a higher mood evaluation score. Additionally, it can be generally observed that the mood assessment for journaling durations between 10 and 50 minutes is 4 points, while for journaling durations below 20 minutes, there is a portion of mood assessment rated at 3 points. As a result, I maintain the belief that the original hypothesis holds true, but further data collection over an extended period is necessary to validate this conclusion.