We are meeting over Slack this week.
This week, we’ll delve into the realm of visualizing data sets using p5js and explore why coding surpasses Illustrator in this domain. Our discussions will span from discovering and gathering data to the crucial steps of data cleaning and analysis, all while considering the ethical implications of data visualization. We’ll examine exemplary instances of data visualizations and dissect common pitfalls that designers encounter in this field. Furthermore, we’ll explore innovative projects that utilize sound, touch, and even taste to convey data insights. Lastly, we’ll draw inspiration from artists who employ data as a primary medium in their creative endeavors.
By the end of the week, please cover these coding examples and helpful links:
var numbers = [
341,262,274,271,396,380,277,225,384,410,494,294,326,260,322,
253,365,292,276,323,438,633,507,295,289,271,293,258,311,316,
247,276,281,309,400,332,408,429,525,448,503,474,485,521,575,
626,696,341,281,254,262,218,252,211,217,239,273,288,335,317,
306,390,333,256,336,327,254,305,341,417,449,258,278,242,248,
211,270,275,232,190,236,311,352,344,367,311,368,321,370,368,
395,378,442,570,756,319,284,264,333,268,347,311,305,289,322,
348,432,265,271,314,364,239,295,298,244,218,271,395,437,252,
173,168,201,181,249,245,198,190,244,279,391,324,367,376,521,
467,373,432,474,417,523,702,674,365,333,272,249,264,353,328,
258,230,380,434,426,272,302,211,291,262,285,270,239,315,349,
483,584,325,257,227,227,209,247,230,199,197,205,319,364,330,
381,378,464,397,515,536,446,460,552,641,658,341,367,297,346,
349,327,351,317,273,415,439,420,299,321,254,304,238,344,304,
345,265,454,486,599,310,289,266,227,255,346,309,291,234,260,
353,348,320,410,397,489,325,365,398,400,415,499,699,1351,796,
415,344,340,324,389,374,338,319,339,278,399,262,352,301,350,
331,336,293,311,304,442,553,667,357,306,222,233,259,269,294,
274,322,356,419,418,338,509,511,564,407,427,412,543,575,650,
912,875,492,548,412,333,423,369,352,312,312,402,420,434,413,
372,331,414,348,351,292,310,331,418,560,695,338,312,282,277,
298,292,267,242,245,261,291,325,348,450,526,394,379,414,397,
360,356,502,677,857,390,395,281,285,310,341,422,359,356,399,
371,431,321,425,358,377,364,417,333,256,303,488,610,722,361,
343,300,274,332,328,282,268,262,346,355,377,386 ];