Data Visualization

mai uchida

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Data Mining the City

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1 min read

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Sep 27, 2017

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##Visualizing by my own
import csvdef setup():
    size(500, 500)with open("/Users/Mai/Dropbox/Fall_2017/Data_Mining/Data/quakes.csv") as f:
        reader = csv.reader(f)
        header = reader.next() # Skip the header row.
        
    
        global magnitudes
        magnitudes = []
    
        for row in reader:
            magnitude = float(row[4])
            magnitudes.append(magnitude)def draw():
    background(0)
    scalar = 10
    x = 0
    
    for magnitude in magnitudes:
        left_edge = x - (magnitude*scalar) / 2 
        right_edge = x + (magnitude*scalar) / 2 
        
        if magnitude*scalar < 10:
            ellipse(width/2, x, magnitude*scalar, magnitude*scalar)
            fill(211, 211, 211)
        else:
            ellipse(width/2, x, magnitude*scalar*2, magnitude*scalar*2)
            fill(47, 79, 79)
        
        if left_edge < mouseY and mouseY < right_edge: 
            ellipse(width/2, x, magnitude*scalar*3, magnitude*scalar*3)
            fill(255, 0, 0)
        x +=14