code: def data_sloped():
      N = 500
      x = np.random.random(size=N)
      y = np.random.random(size=N)
      r = 2 * (x + y) * np.linspace(0, 1, N)
      return x * 100, y * 100, r
  
imports: import numpy
  from bokeh.layouts import gridplot
  from bokeh.models import LinearColorMapper
  from bokeh.plotting import figure, show
  from bokeh.transform import transform
label_desc: Use image node_id 2 for calling a global function with example usage: data_sloped() and returns: unknown,  unknown,  r