Enjoy Dear Data Author Giorgia Lupi Contained In Copy

interesting approach to being mindful of the everyday, though it wasn't the original intention of the book, I found the graphics more intriguing than the data they represented, Many of them were downright beautiful! Great concept: two designers who work a lot with data pick a theme each week for a year, and then collect their personal data based on that theme and send the other person a postcard with some handdrawn data visualization on it.
It is halfway between work and socialization / friendshipbuilding, and they refer to it in the text as kind of both,

The execution didn't always work for me I often had the feeling both authors tried to move away from very 'pictorial' visualizations, and the resultant abstract representations could be hard to interpret without constantly looking back and forth between the image and the legend.
The same for colors: I frequently had the impression that the colors were picked for the image to have a harmonious but slightly offbeat color scheme, even at the expense of functionality.
For example, I don't necessarily want men to be light blue and women to be pink on a data visualization Gd forbid, but sometimes it felt like the authors were deliberately trying not to use any sort of conventionalized associations and this made for a harder interpretation.
I did like how both of the authors had their own distinct visual language,

It took me a considerable amount of time to read this book, which I didn't expect it doesn't read like a conventional coffee table book even though it's formatted like that, because I kept on examining details about the data! It was fun.
I liked it how they also tried to make it slightly meta and refer back to the project itself, or each other, on as many cards as possible, and having a consistent color for that.


There was also an immigration theme running through the book, which was nice to see, though kind of different from my experiences because both authors moved from one Western country to another.


I liked that they examined their own tendencies for selfdeprecation and overapologizing, I was wondering if that would happen while I was reading, and then it did! Very cool,

Something that I did not see coming was just how much alcohol they consumed, and often to excess, This came up even in nondrinkingrelated data, I guess this is a content warning that I did not see mentioned anywhere else,

Overall, I would like even more people to do something like this, can data art become fashionable Is it fashionable already I constantly had the "I want to try something like this too!" feeling while reading, which does mean that ultimately the book worked for me.


I would have liked to see not just data but also a tiny bit of quantitative analysis Just vague correlations or something, maybe a bit of curve fitting, contingency tables etc.
as appropriate. But this is their book, not my book if it were my book, I would do all sorts of stuff like that, and I'd spend not just a few hours each week on the project but a few days, lol sigh.


There wasn't a lot of qualitative analysis either, but what there was I enjoyed,

Source of the book: Lawrence Public Library I enjoyed looking at how each woman visualized the data she collected, After a while, it got a little boring, I borrowed this book from the library, and had it for several weeks, but didn't finish it before it had to go back.
Non un testo che si legge, a meno che non si sia particolarmente interessati alla vita delle autrici :

Ma un testo che si guarda, si ammira, si studia per prendere spunti su come sia sempre possibile visualizzare i propri dati.


Non credo sia un libro per tutti, Se cercate un how to, non è per voi, Lo trovo molto interessante, ma per me che mi sto appena avvicinando alla comunicazione visuale è per esempio poco utile non sono al livello sufficiente x poterne trarre spunto, ma è bello e dà speranza : I primarily flipped through the book to observe the types and styles of data.
While I found it interesting how they translated their lives into a form of art, I just wasn't that interested in studying the actual data or

the ongoings of their lives.
I think the concept of data collecting is immensely fascinating and the various ways we can translate that information, but the personal details of these two women just did not interest me as much as data about my city, my school, people I know, etc.
The book explores the role that data plays in our lives and originates from a correspondence between the two authors both data visualisation artists who met at a data conference and chose to keep in touch by sending weekly postcards composed of data visualisations in place of words.
The result is described as “a thoughtprovoking visual feast”, This book was an incredible experience, I loved it, and I can't wait to try data gathering myself, I wish I could rate this higher than five honestly, I really do, This book has inspired me endlessly! As a graphic design enthusiast and budding graphic designer, this was a huge amount of motivation and it has inspired me to start collecting my own data sets and illustrating them in quirky ways.


This is a brilliant book and I wouldrecommend it! I am so happy that I read this and I recommend all of you to at least flick through it it's one of the most wonderful reads I have partaken in.
I love the way it is presented too it's so enjoyable, light but yet so intensely inspiring,

I just ADORE everything about it! BEAUTIFUL,
Well worth the wait I've been following dear data online for a little while now and it's so amazing to have a physical copy of these wonderful postcards.
Dvi profesionalios duomenų dizainerės net nesu tikras, kaip teisingai vadinti duomenų atvaizdavimu užsiimančiuosius viena Londone, o kita Niujorke ištisus metus kas savaitę viena kitai siųsdavo ranka pieštus atvirukus su duomenų schemomis, diagramomis ir grafikais.
Kiekvieną savaitę jos pasirinkdavo vis naują temą kiek kartų pasakei ačiū“, kiek kartų per savaitę nusijuokei, kas kabo tavo spintoje, kas yra tavo geriausi draugai, kiek kartų nusikeikei ar kiek išgėrei alkoholio.
Pasirodo, per septynias dienas tokių duomenų galima prikaupti devynias galybes, ypač jei žymėsiesi ne vien plikus faktus, bet ir su šiais faktais susijusias aplinkybes: ne visi pasakyti ačiū“ yra vienodi, kai kurie būna ištarti kita kalba, kai kurie parašyti elektroniniame pašte, kai kurie buvo pasakyti tik iš mandagumo, o kai kurie ypač nuoširdūs, nes buvo sakyti su meile savo vyrui.
Per daugiau nei penkiasdešimt savaičių šios dizainerės sugalvojo daug išradingų duomenų vaizdavimo būdų ir kone kiekviena atvirutė stebina detalių gausa bet detalės neužgožia bendro duomenų piešiamo paveikslo, jos nenumaldomai traukia gilyn, ten kur abstraktūs agreguoti skaičiai nutrindami ribą tarp statistikos ir asmeninio intymumo pavirsta į atskirus išgyventus faktus.
Kai dešimt kartų pasakytas žodis ačiū“ tampa trimis ačiū“ padavėjai už pateiktą sriubą, dviem ačiū“ bendradarbiui už persiųstą emailą, padėka draugui už tai, kad jis šalia ir keturiais ačiū“, kuriuos turėjai pasakyti, bet neišdrįsai, tai nebe plika statistika: tikrai jautiesi gerai pažįstantis autorę.


Peržvelgus šio projekto atvirutes pradedi suprasti, kad duomenimis savo gyvenime galima paversti beveik bet ką, tačiau vien pats duomenų rinkimas priverčia atkreipti dėmesį į tuos dalykus, kuriuos šiaip būtum praleidęs pro pirštus.
Vien tai, kad skaičiuoji šypsenas, verčia tave daugiau šypsotis, vien tai, kad seki savo alkoholio suvartojimą, galbūt daro tavo blaivesniu, vien tai, kad surenki duomenis apie mones, su kuriais bendravai per savaitę, primena tau, kad reiktų paskambinti seniai matytai tetai.
Ką matuoji, tuo ir gyveni, Apie ką nuolat galvoji, su tuo ir susitapatini, Bet norint daugiau judėti neužtenka nuolat ant rankos nešioti Fitbit apyrankę jei duomenys surenkami paprastai ir neskausmingai, į juos lengva numoti ranka ir užsimiršti.
Kuo sunkiau duomenis teko rinkti ir analizuoti, tuo juos vertini rimčiau, Kartais nėra blogai duomenis sąmoningai užsirašinėti ranka: tai leidžia stabtelti ir pagalvoti apie kiekvieną konkretų stebėjimą.


The concept of the book is good, It's pretty and inspiring, especially for anyone who wants to start bullet journaling or sketching out creative ways to display information for other purposes.


I do wish it would have had a bit more principles and best practices documented about data mapping and design, thoughwhat Giorgia and Stefanie learned from the experience.
I can infer some of it, but I'd love to walk away with a menu of shapes, chart formats, and quick tips on what tends to be most effective for different data typeswhat kinds of charts are best for yes/no answers, multivariable data, or even data sets that involve decision trees and spinoff subsets of data.
While that's lacking, I did enjoy paging through the book,

I'd recommend borrowing this one from the library, instead of buying it for your shelf, If you'd like a desk reference that has some of those menus of best practices and data display options, I recommend checking out Nancy Duarte's trilogy on preparing presentations and storytelling, especially book two in the series 'Resonate.
' Love this! I have been following their blog and tweet for quite sometimes, It so good to finally able to see all of their works in a book, flipping through every pages and get so inspired.
The book makes me happy, everytime,

It's a super easy way to communicate data, It doesn't require hightech or ability to do advance software, In fact, it makes you thinking about the creative way to see pattern of many things around us,

Love love! As a data visualization geek and a marketing person, this book was fascinating and so fun to read.
It tracks correspondence between two friends who decide on weekly themes and send each other postcards drawing data, Sometimes its charts and graphs, other times it is really creative art with legends and descriptions, I LOVED the whole concept this book is fantastic, a real gem for anyone who has some basic interest in data, i can't recommend it highly enough, I actually thought this was really cool and really interesting, butpostcards full of fairly granular data is a bit too much for me.
I enjoyed seeing the ways these two women represented different aspects of their lives, and the way they managed to turn going through doors or schedules or complaining into art.


I'm glad their legends for interpreting the data are included here, but I also feel like that puts too much pressure on me to READ all the teeny tiny writing included in there, which takes away some of the enjoyment of seeing the data visualizations, especially when I'm not then using that information to actually.
. . interpret the data. This one I'm giving up half way through, If I can't finish it in half a year, another half a year probably won't help,

While not original, the concept is interesting and what drew me to this book, After a few pages of what seems to be the same thing in terms of design and data, it gets boring to read it as a normal book.
It's probably more suited as a waiting room book where one randomly browses through the pages, .