[6 in 7] Visualizing my daily datas by analyzing expenditure. (Data Mining)

For this project, I’ve gathered all my receipts to analyze my life pattern by visualizing the living expenses by item, location, brand.

Items: Technology > Clothes > Food > Book > Beauty > Living > Online > ETC



Period (time) – 7 days / 2 weeks

Location – Near by school area (Union Square)

Brand/Store – the most frequently visit: CVS/pharmacy (Food), School Dining Hall

The highest expense: Sephora (Beauty)

The highest expense by an item: Anthropology (Clothes)

Reference – Interactive Data Visualization by David Mcandless.

Screen Shot 2015-09-09 at 10.50.02 AM


Author: Jiyeon Kang (Jenny)

MFA Student of Design and Technology at Parsons School of Design dreamealist@gmail.com

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