My 2025 in clothes: a breakdown of what I wore vs what's in my closet [OC] Comparison
![My 2025 in clothes: a breakdown of what I wore vs what's in my closet [OC] Comparison](/api/images/reddit-maps/1qb6sfn_1768449604131.jpg)
Data Analysis
What This Visualization Shows
This data visualization displays "My 2025 in clothes: a breakdown of what I wore vs what's in my closet [OC]" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on Data is collected and analyzed in Google Sheets; visualization was made in Adobe InDesign.
I have been tracking my clothes and outfits since 2023 with the main goal of satisfying mt curiosity to see how many clothes I own but also to help me downsize. My goal for 2025 was to wear 80% of my closet, and I hit 91%! It's not realistic for me to wear every single item in a year (I have a lot of formal items, things I bought for Halloween costumes that will get reused at some point, and clothes that I'd wear when doing outdoor work that might not get worn in one single calendar year). So 91% seems pretty good.
I also got rid of 67 things which is a lot for me as I'm quite sentimental when it comes to clothes. I did acquire a lot too, but actually getting rid of 67 whole clothing items is not something I could have done in previous years.
Beyond the actual numbers, I feel much happier with my closet now. I am still super emotionally attached to everything I own, but I'm getting better at letting go. I still have things that I should get rid of, and I'm working on that slowly.
Some takeaways:
* Getting rid of clothes is hard, but keeping clothes I don't wear is actually harder on me - it makes me feel a bit guilty and anxious. * I wore more clothes overall in 2025 than I did in 2024, and I wore more for each season. I got really into layering, so my outfits consisted of more clothes. I also was more social, and so I had more outings where I wanted to wear cute things. * My blue M&S shirt was a favorite this year as well as in 2024. You can't beat a good basic, and this one is such a nice color that I just wear it a lot. * I now have 323 items of clothing in my closet. It's still an insane number, but I haven't had that few since before I started closet tracking, so I'm really proud of myself. I've got a ways to go before that's a manageble number though.
If anyone is considering tracking your closet, I highly recommend it! It's so interesting to see what you actually wear and what you don't. There are a lot of apps out there that do all the work for you, but I like having 100% control over what data analysis I can do, so I like managing the data collection myself., which allows us to understand complex relationships and insights within the data through visual storytelling.
Deep Dive into the Topic
This data visualization represents a sophisticated analysis of complex information patterns that provide valuable insights into underlying trends and relationships. Data visualization serves as a bridge between raw numerical data and human understanding, transforming abstract statistics into comprehensible visual narratives.
The power of data visualization lies in its ability to reveal patterns, outliers, and correlations that might not be apparent in traditional tabular formats. Through careful selection of chart types, color schemes, and interactive elements, effective visualizations can communicate complex information quickly and accurately to diverse audiences.
Modern data visualization combines statistical analysis with design principles to create compelling visual stories. This interdisciplinary approach requires understanding both the underlying data and the cognitive processes involved in visual perception. The result is more effective communication of quantitative insights that can inform decision-making and drive positive change.
Data Analysis and Insights
The patterns revealed in this visualization demonstrate the importance of systematic data analysis in understanding complex phenomena. By examining different data segments, time periods, and categorical breakdowns, we can identify trends that inform strategic planning and decision-making processes.
Statistical analysis of this data reveals variations across different dimensions that provide insights into underlying drivers and relationships. These patterns help identify areas of opportunity, potential risks, and key performance indicators that can guide future actions and resource allocation.
The analytical approach used in this visualization enables comparison across different categories, time periods, or geographic regions, revealing insights that support evidence-based decision-making. This type of analysis is essential for organizations seeking to optimize performance and understand complex market dynamics.
Significance and Applications
This data visualization has important implications for understanding trends and patterns that affect decision-making across multiple sectors. The insights derived from this analysis can inform policy development, business strategy, resource allocation, and operational improvements.
For analysts, researchers, and decision-makers, this type of data visualization provides essential insights for strategic planning and performance optimization. Whether addressing operational challenges, market analysis, or policy development, understanding data patterns helps create more effective strategies and solutions.
The broader significance lies in how this information contributes to our understanding of complex systems and relationships. This knowledge helps predict future trends, identify potential challenges, and develop more informed approaches to problem-solving and opportunity identification.
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About the Author

Alex Cartwright
Senior Data Visualization Expert
Alex Cartwright is a renowned data visualization specialist and infographic designer with over 15 years of experience in...