Flat Arc

Data Sonification
Addition to my 'Data Art' series this is my new exploration of 'Simulation + Data Art' this is a road to experiment data artworks with an intent of adding the right theme style and a simulative approach apart from being fully abstract. This is an artistic expression of datasets of 24hr high price (USD) of major coins like Bitcoin BTC, Ethereum ETH, Ripple XRP, Litecoin LTC.
Generating a sequence of notes with a pitch corresponding to the price data value of the coins. The visual representation is an audio spectrum of all 4 coins price fluctuation of 1 year (~2020). The prices make the audio beats and hence the visual spectrum. The master image consists of all data from all four coins. The idea of sonification of data came from endless datart-workshop experiments and after everyday trial and errors of finding different dimensions to visual data beautifully. A node-based visual programming engine, image manipulation and other open-source software are combined to change dimensions of raw data and render into desired results.
Generating a sequence of notes with a pitch corresponding to the price data value of the coins. The visual representation is an audio spectrum of all 4 coins price fluctuation of 1 year (~2020). The prices make the audio beats and hence the visual spectrum. The master image consists of all data from all four coins. The idea of sonification of data came from endless datart-workshop experiments and after everyday trial and errors of finding different dimensions to visual data beautifully. A node-based visual programming engine, image manipulation and other open-source software are combined to change dimensions of raw data and render into desired results.

Rio de Dados
'Olympic Games Rio de Janeiro 2016' . Artistic depiction of beauty in complex datasets. Full 11,000+ Athlete names, gender and country data.
Each segment is branched out from unique country data point. Each circle depict unique athlete names colored by their sport event. The lines connecting them are colored by gender of the athletes.
Each segment is branched out from unique country data point. Each circle depict unique athlete names colored by their sport event. The lines connecting them are colored by gender of the athletes.

Aves
Bird species under category 'commonly found' on national parks, Inspecting art on the dataset. Finding possibilities of data visualization with an artist and design thinking approach. Based on public data from US National Park Service. The data nodes and edges represent how each bird species is found on multiple national park in the US.

Colors of hits
Color data from all frames of 9 hit movies of Christopher Nolan Memento, Insomnia, Batman Begins, The Prestige, The Dark Knight , Inception, The Dark Knight Rises, Interstellar, Dunkirk.

Ratings
1 million imdb movies ratings - respective user's voted count. Beautifully depicted using sci-fi colors.

Tribulus omanense
UAE - Dubai DXB all arrival/departure marked with flight numbers. Artistic data visualization depicted with colors of the national flower Tribulus omanense.

Machine learning + Art
Another experimental project 'Machine learning Art'. Creative freedom on obsessive colours of the universe. Addition to my 'data+art' collective. Inspecting beauty in data and depicting the complexity of computational thinking. Method of amalgamation of Nebula image library from NASA's Hubble Space Telescope trained on StyleGAN model and experimenting 3d heightmaps on the same. Data, artificial intelligence, machine learning (ML), and deep learning (DL): These make up the zeitgeist of our current times. StyleGAN is a novel generative adversarial network introduced by Nvidia researchers in December 2018, and open sourced in February 2019. StyleGAN depends on Nvidia's CUDA software, GPUs and on TensorFlow.

Mnmlsm

Mnmlsm

Mnmlsm
Facebook
Twitter
Pinterest
Tumblr
Copy Link
Link Copied