Dear Data

Giorgia LupiPrinceton University Press • ISBN-13 978‑1616895327

Dear Data coverDear Data cover

Dear Data

Giorgia LupiPrinceton University Press

ISBN-10: 1616895322 · ISBN-13: 978‑1616895327 · 2016

Canonical book record

Completeness 45

Cover quality: good

2manybooks editorial

Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly---small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives---including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere. Giorgia Lupi is an award-winning information designer. She co-founded Accurat, a data-driven design firm with offices in Milan and New York where she is the design director. She received her M-Arch at FAF in Ferrara, Italy, and earned a PhD in Design at Politecnico di Milano. She relocated to New York City from London, where she now lives.

Book metadata

Publisher: Princeton University Press
2016
Pages: 289Language: English

Contributors

Author: Giorgia LupiForeword: Maria PopovaContributor: Giorgia LupiContributor: Stefanie Posavec

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Inferred: Architectural DesignInferred: CommunicationInferred: Communication Of Technical InformationInferred: General

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