Natalia Kiseleva
Data Art
This direction in data visualization is at the intersection with art. These projects are more about being beautiful than being understandable - their goal is not to convey information as clearly and quickly as possible, but rather to weave data into some creative expression.
Projects
I love data art, I study this direction, collect a collection of world projects, and classify them. I host live streams on the topic of data art, where we analyze various interesting directions of data art with guests.
I teach courses on data art, have a Telegram channel on Data Art, and a data art practice group called 'Flowers and Figures'.
Drop by sometime!
If you want to learn more about this direction, check out my articles and videos on data art:

My Articles


I write and illustrate articles on the topic of data visualization—about my projects, the life of the Russian data viz community, as well as in collaboration with international data viz communities: Data Visualization Society and Make Your Data Speak.

Lectures and Workshops


I teach data visualization, dashboard design, data art, and working with data visualization tools (BI products) Power BI, and Tableau. I give lectures and conduct workshops.


I collaborate as a lecturer and trainer with:

  • A. Kolokolov Institute of Business Analytics (2019-...).
  • Data Visualization Society (2022-2023).
  • MSU Moscow State University (2022).
  • HSE Higher School of Economics (2022).
  • MGPU Moscow City Teacher Training University (2022).
  • EU SPb European University at Saint Petersburg (2022).
If you're interested in attending my workshop or training on data art or data visualization, you can find the list of courses and waiting list here: Workshops & Trainings.

Livestreams on Data Art (RUS):

- Data Art Discussion - We discuss the direction of data art, share our projects, and the projects of our favorite authors.
- Generative Design and Data Art - We discuss the differences between generative art and data art and the peculiarities of their classification.
- Material Data Art - We discuss the physicalization and aesthetics of data, share our favorite projects.
- Handcrafted Data Art - We discuss various types of handicrafts used in data art, showcase our projects and dream of bending pipes in the name of data art!
- Data Art Tools - Coming soon.
    If you are interested in collaboration or need a personal consultation, feel free to reach out via LinkedIn, Telegram, or by email eolay@inbox.ru.
    If you are interested in these and my other projects - please subscribe to my page on social networks for regular updates! I'll be glad!
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