Python2019/labs05/seeds-width-vs-length.csv

1	3.312	5.763
2	3.333	5.554
3	3.337	5.291
4	3.379	5.324
5	3.562	5.658
6	3.312	5.386
7	3.259	5.563
8	3.302	5.42
9	3.465	6.053
10	3.505	5.884
11	3.242	5.714
12	3.201	5.438
13	3.199	5.439
14	3.156	5.479
15	3.114	5.482
16	3.333	5.351
17	3.383	5.119
18	3.514	5.527
19	3.466	5.205
20	3.049	5.226
21	3.129	5.658
22	3.168	5.52
23	3.507	5.618
24	2.936	5.099
25	3.245	5.789
26	3.421	5.833
27	3.026	5.395
28	2.956	5.395
29	3.221	5.541
30	3.065	5.516
31	2.975	5.454
32	3.371	5.757
33	3.186	5.717
34	3.15	5.585
35	3.328	5.712
36	3.485	5.709
37	3.464	5.826
38	3.683	5.832
39	3.288	5.656
40	3.298	5.397
41	3.156	5.348
42	3.158	5.351
43	3.201	5.138
44	3.396	5.877
45	3.462	5.579
46	3.155	5.376
47	3.393	5.701
48	3.377	5.57
49	3.291	5.545
50	3.258	5.678
51	3.272	5.585
52	3.434	5.674
53	3.113	5.715
54	3.199	5.504
55	3.113	5.741
56	3.212	5.702
57	3.377	5.388
58	3.412	5.384
59	3.419	5.662
60	3.032	5.159
61	2.85	5.008
62	2.879	4.902
63	3.042	5.076
64	3.07	5.395
65	3.026	5.262
66	3.119	5.139
67	3.19	5.63
68	3.158	5.609
69	3.153	5.569
70	2.882	5.412
71	3.561	6.191
72	3.484	5.998
73	3.594	5.978
74	3.93	6.154
75	3.486	6.017
76	3.438	5.927
77	3.403	6.064
78	3.814	6.579
79	3.639	6.445
80	3.566	5.85
81	3.467	5.875
82	3.857	6.006
83	3.864	6.285
84	3.772	6.384
85	3.801	6.366
86	3.651	6.173
87	3.764	6.084
88	3.67	6.549
89	4.033	6.573
90	4.032	6.45
91	3.785	6.581
92	3.796	6.172
93	3.693	6.272
94	3.86	6.037
95	3.485	6.666
96	3.463	6.139
97	3.81	6.341
98	3.552	6.449
99	3.512	6.271
100	3.684	6.219
101	3.525	5.718
102	3.694	5.89
103	3.892	6.113
104	3.681	6.369
105	3.755	6.248
106	3.786	6.037
107	3.806	6.152
108	3.573	6.033
109	3.763	6.675
110	3.674	6.153
111	3.769	6.107
112	3.791	6.303
113	3.902	6.183
114	3.737	6.259
115	3.991	6.563
116	3.719	6.416
117	3.897	6.051
118	3.815	6.245
119	3.769	6.227
120	3.857	6.493
121	3.962	6.315
122	3.563	6.059
123	3.387	5.762
124	3.771	5.98
125	3.582	5.363
126	3.869	6.111
127	3.594	6.285
128	3.687	5.979
129	3.773	6.513
130	3.69	5.791
131	3.755	5.979
132	3.825	6.144
133	3.268	5.884
134	3.395	5.845
135	3.408	5.776
136	3.465	5.477
137	3.574	6.145
138	3.231	5.92
139	3.286	5.832
140	3.472	5.872
141	2.994	5.472
142	3.073	5.541
143	3.074	5.389
144	2.967	5.224
145	2.777	5.314
146	2.687	5.279
147	2.719	5.176
148	2.967	5.267
149	2.911	5.386
150	2.648	5.317
151	2.84	5.263
152	2.776	5.405
153	2.833	5.408
154	2.693	5.22
155	2.755	5.175
156	2.675	5.25
157	2.849	5.053
158	2.745	5.394
159	2.678	5.444
160	2.695	5.304
161	2.879	5.451
162	2.81	5.35
163	2.847	5.267
164	2.968	5.333
165	2.794	5.011
166	2.941	5.105
167	2.897	5.319
168	2.837	5.417
169	2.668	5.176
170	2.715	5.09
171	2.701	5.325
172	2.845	5.167
173	2.763	5.088
174	2.763	5.136
175	2.641	5.278
176	2.821	4.981
177	2.71	5.186
178	2.642	5.145
179	2.758	5.18
180	2.893	5.357
181	2.775	5.09
182	3.017	5.236
183	2.909	5.24
184	2.85	5.108
185	3.026	5.495
186	2.683	5.363
187	2.716	5.413
188	2.675	5.088
189	2.821	5.089
190	2.787	4.899
191	2.717	5.046
192	2.804	5.091
193	2.953	5.132
194	2.63	5.18
195	2.975	5.236
196	3.126	5.16
197	3.054	5.224
198	3.128	5.32
199	2.911	5.41
200	3.155	5.073
201	2.989	5.219
202	3.135	4.984
203	2.81	5.009
204	3.091	5.183
205	2.96	5.204
206	2.981	5.137
207	2.795	5.14
208	3.232	5.236
209	2.836	5.175
210	2.974	5.243