Last Week's Recap What I wrote on the questions I planned to ask with the map: Are there clusters of art institutions in Manhattan? What are the characteristics of these clusters? How do art institutions interact with their localities? How have private and public funding spread in Manhattan? Is there a relationship between the location of an institution and the funding it receives? Could we infer why? Getting Data Organizations' Financial Data IRS requires non-profits to disc

On the Readings Kurgan uses the examples of satellite images perused in the context of international/state-scale conflicts to show that satellite imageries: are inherently embedded with a militaristic perspective, and require the art of interpretation due to data imperfections I am especially intrigued by the term "Para-Empiricism" that Kurgan proposed. While the prefix "para" encapsulates Kurgan's take on the necessity to debate about and accept the flaws of representations,

Links: http://165.227.205.200/impossiblemaps/week3 https://github.com/hafiyyandi/impossiblemaps/tree/master/week3 Read about last week's iteration of the map. Last Week's TLDR; I made a map based on these: 1. Adding onto the Death Map For this week, the assignment is to add another data set to the map I created last week. It was really difficult finding an appropriate dataset to add because: The killings were poorly documented Existing studies and documents (examples: here &

Links: http://165.227.205.200/impossiblemaps/week2 https://github.com/hafiyyandi/impossiblemaps/tree/master/week2 The Death Map For this week's assignment, I decided to redraw the maps featured in Jess Melvin's paper on the 1965 communist "genocide" in Indonesia. Melvin found a new evidence on the military's involvement in inciting (and implied coercing) the public to kill those suspected as and/or related to a communist party (PKI) member. //Side note: the wikipedia page & a

Final project can be viewed here. Taylor Swift - Deep Dive is a 5-part visualizations of Taylor Swift's body of work. It is also a part of a larger study on fandom culture (to be released soon). The final website page was made using wix, with iframes of different 5 p5.js sketches. Part 1. Musicality For this chart, all of Taylor Swift's singles are mapped according to their genres, year released, keys, beats per minute (BPM), and peak chart position in the US. Part of the cha

This week's assignment is brought to you by gazillion of artists / visualizers who made posters from the colors used in various movies (e.g. this guy). I wanted to do the same, taking the averages of colors in a frame and put them in a row. To get the average, I recursively add the R, G, B values into separate variables, and later count the average by dividing the totals by video.height * video.width. for (let cx = 0; cx < video.width; cx ++) { for (let cy = 0; cy < vide

Finding the data I knew I wanted to do something lighthearted, particularly on the topic of pop culture (I'm kind of obsessed with pop culture). After watching Shiffman's video on NYT API, I went to NYTimes API page, and did some browsing on what data I could get and make sense of. They have lots of data to work on, but I decided to use "Article Search" API and measure "word count" to (subjectively) measure the "mention-worthiness" of some pop queens over the course of the de

Read part 1 here. Getting Sensors on My Body I made the visualization program, now it was time to getting the actual data (i.e. placing sensors on my body). I already had some IR distance sensors from my theremin project, but I decided to buy ultrasonic sensors instead since they: (1) have a range from 2-400cm, and (2) give a value that can be readily converted into cm's. The sensors had to be on my body so my dear roommate sewed a pouch/necklace thing to hold my sensors and

For PComp's mid-term, I pitched an idea about visualizing the amount of personal space I get throughout the day (disclaimer: most of the time I highly value my personal space). Distance sensors I wear on my body will periodically measure the distance I have from things (aka my personal space). Then using Arduino, I will log these data and feed it into a visualizing program that I make on P5. Here is how I made it, broken into few parts because, boy, it was such a headache mak