<jupyter_start><jupyter_text>Homework 5<NAME> Rio DSCI32011/25/2020 ![image.png](attachment:image.png)<jupyter_code>x1 = np.array(np.random.normal(size=[100,2]))

x2 = np.array(np.random.normal(2,size=[100,2]))



fig = plt.figure()

ax= fig.add_subplot(111)


scatter1 = ax.scatter(x1[:,0],x1[:,1],marker='x',c='c')

scatter2 = ax.scatter(x2[:,0],x2[:,1],c='r')



ax.set_xlabel("X")
ax.set_ylabel("Y")



fig.show()
one = np.ones((100),dtype=int)
one = one.reshape(100,1)
x1 = np.append(x1, one, axis=1)
x1=x1[:,[0,2]]

x2 = np.append(x2, one, axis=1)
x2=x2[:,[0,2]]<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.2491638795986622, 'fraction_numerical': 0.09531772575250837, 'mean_word_length': 6.67948717948718, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '347349', 'license': 'MIT', 'n_tokens_mistral': 317, 'n_tokens_neox': 295, 'n_words': 33, 'path': 'DSCI320/HOMEWORK5.ipynb', 'repo_name': 'henriquem27/School-Projects', 'size': '610'}