my webscience assignment 6
Erika Siregar erikaris
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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <html> | |
| <head> | |
| <style> | |
| svg { | |
| font: 10px sans-serif; | |
| } | |
| .node { | |
| fill: #fff; |
erikaris
/ index.html
Last active
March 18, 2016 15:51
Web Science #6 - Twitter Followers Friendship Genderize
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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| svg { | |
| font: 10px sans-serif; | |
| } | |
| .node { | |
| stroke: #fff; | |
| stroke-width: 1.5px; | |
| } |
Name: Erika Siregar
- Assignment : Visualization Implementation (VI8)
- Course: Information Visualization (CS725)
- Semester : Spring 2016
- Tutorial from: >* http://bl.ocks.org/davelandry/9029781
Name: Erika Siregar
- Assignment : Visualization Implementation (VI 10)
- Theme : Faceting Concepts
- Course: Information Visualization (CS725)
- Semester : Spring 2016
- Tutorial from : http://bl.ocks.org/bobmonteverde/2070069
erikaris
/ rest_api_usage.txt
Created
October 14, 2017 08:07
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| http://memento-damage.cs.odu.edu/api/damage/[the input URI-M] |
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| # %matplotlib inline # just shows the graphic inline with the code but it's not interactive. | |
| %matplotlib notebook | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| x = np.linspace(0, 2, 100) #create an equal-spaced 100 numbers range from 0 - 2 | |
| plt.plot(x, x, 'b^', x, x**2, 'r>', x, x**3, 'g+') | |
| plt.xlabel('x label') |
erikaris
/ ec_fill_between.py
Last active
November 2, 2017 13:43
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| %matplotlib notebook | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| x = np.arange(0.0, 2, 0.01) | |
| y1 = np.sin(2 * np.pi * x) | |
| y2 = 1.2 * np.sin(4 * np.pi * x) | |
| fig, (ax, ax1) = plt.subplots(2, 1, sharex=True) | |
| ax.plot(x, y1, x, y2, color='black') |
erikaris
/ ec_fill_between_gca.py
Created
October 24, 2017 21:42
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| import numpy as np | |
| linear_data = np.array([1,2,3,4,5,6,7,8]) | |
| exponential_data = linear_data**2 | |
| plt.figure() | |
| plt.plot(linear_data, '-o', exponential_data, '-o') | |
| # fill the area between the linear data and exponential data | |
| plt.gca().fill_between(range(len(linear_data)), |