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WeiChow
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DyGraphs

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train · 30M rows

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Unnamed: 0 int64 0 7.83M ⌀	u int64 1 3.7M	i int64 1 3.7M	ts float64 0 2.24B	label float64 0 35	idx int64 1 7.83M
6,100	539	85	31,536,000	0	6,101
6,101	111	85	31,536,000	0	6,102
6,102	343	85	31,536,000	0	6,103
6,103	428	85	31,536,000	0	6,104
6,104	103	85	31,536,000	0	6,105
6,105	630	85	31,536,000	0	6,106
6,106	402	85	31,536,000	0	6,107
6,107	672	85	31,536,000	0	6,108
6,108	451	85	31,536,000	0	6,109
6,109	386	85	31,536,000	0	6,110
6,110	413	85	31,536,000	0	6,111
6,111	563	85	31,536,000	0	6,112
6,112	384	85	31,536,000	0	6,113
6,113	626	85	31,536,000	0	6,114
6,114	468	85	31,536,000	0	6,115
6,115	650	85	31,536,000	0	6,116
6,116	139	85	31,536,000	0	6,117
6,117	663	85	31,536,000	0	6,118
6,118	595	85	31,536,000	0	6,119
6,119	105	85	31,536,000	0	6,120
6,120	199	85	31,536,000	0	6,121
6,121	145	85	31,536,000	0	6,122
6,122	442	85	31,536,000	0	6,123
6,123	54	85	31,536,000	0	6,124
6,124	341	85	31,536,000	0	6,125
6,125	382	85	31,536,000	0	6,126
6,126	487	85	31,536,000	0	6,127
6,127	414	85	31,536,000	0	6,128
6,128	400	85	31,536,000	0	6,129
6,129	355	85	31,536,000	0	6,130
6,130	213	85	31,536,000	0	6,131
6,131	225	85	31,536,000	0	6,132
6,132	640	85	31,536,000	0	6,133
6,133	291	85	31,536,000	0	6,134
6,134	689	85	31,536,000	0	6,135
6,135	333	85	31,536,000	0	6,136
6,136	612	85	31,536,000	0	6,137
6,137	175	85	31,536,000	0	6,138
6,138	378	85	31,536,000	0	6,139
6,139	697	85	31,536,000	0	6,140
6,140	159	85	31,536,000	0	6,141
6,141	664	85	31,536,000	0	6,142
6,142	336	85	31,536,000	0	6,143
6,143	673	85	31,536,000	0	6,144
6,144	354	85	31,536,000	0	6,145
6,145	238	85	31,536,000	0	6,146
6,146	212	85	31,536,000	0	6,147
6,147	569	85	31,536,000	0	6,148
6,148	687	85	31,536,000	0	6,149
6,149	115	85	31,536,000	0	6,150
6,150	426	85	31,536,000	0	6,151
6,151	685	85	31,536,000	0	6,152
6,152	545	85	31,536,000	0	6,153
6,153	65	85	31,536,000	0	6,154
6,154	254	85	31,536,000	0	6,155
6,155	59	85	31,536,000	0	6,156
6,156	496	85	31,536,000	0	6,157
6,157	423	85	31,536,000	0	6,158
6,158	499	382	31,536,000	0	6,159
6,159	382	382	31,536,000	0	6,160
6,160	313	382	31,536,000	0	6,161
6,161	664	382	31,536,000	0	6,162
6,162	673	382	31,536,000	0	6,163
6,163	354	382	31,536,000	0	6,164
6,164	333	382	31,536,000	0	6,165
6,165	612	382	31,536,000	0	6,166
6,166	175	382	31,536,000	0	6,167
6,167	378	382	31,536,000	0	6,168
6,168	697	382	31,536,000	0	6,169
6,169	159	382	31,536,000	0	6,170
6,170	228	382	31,536,000	0	6,171
6,171	213	382	31,536,000	0	6,172
6,172	225	382	31,536,000	0	6,173
6,173	640	382	31,536,000	0	6,174
6,174	291	382	31,536,000	0	6,175
6,175	689	382	31,536,000	0	6,176
6,176	341	382	31,536,000	0	6,177
6,177	487	382	31,536,000	0	6,178
6,178	414	382	31,536,000	0	6,179
6,179	400	382	31,536,000	0	6,180
6,180	355	382	31,536,000	0	6,181
6,181	199	382	31,536,000	0	6,182
6,182	105	382	31,536,000	0	6,183
6,183	442	382	31,536,000	0	6,184
6,184	54	382	31,536,000	0	6,185
6,185	423	382	31,536,000	0	6,186
6,186	238	382	31,536,000	0	6,187
6,187	630	382	31,536,000	0	6,188
6,188	402	382	31,536,000	0	6,189
6,189	138	382	31,536,000	0	6,190
6,190	672	382	31,536,000	0	6,191
6,191	451	382	31,536,000	0	6,192
6,192	386	382	31,536,000	0	6,193
6,193	413	382	31,536,000	0	6,194
6,194	563	382	31,536,000	0	6,195
6,195	384	382	31,536,000	0	6,196
6,196	626	382	31,536,000	0	6,197
6,197	468	382	31,536,000	0	6,198
6,198	139	382	31,536,000	0	6,199
6,199	663	382	31,536,000	0	6,200