Sentiment
Twitter sentiment by suburb (SAL)
CouchDB MapReduce _stats per suburb and topic (all tweets, income keywords, crime keywords), Feb-Jul 2022, every Australian state. Rows are keyed by SAL code: join regions_sal for names.
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| sal_codeTEXT | topicTEXT | stateTEXT | tweet_countINTEGER | score_sumINTEGER | score_minINTEGER | score_maxINTEGER | score_sumsqrINTEGER | avg_scoreREAL |
|---|---|---|---|---|---|---|---|---|
| 33208 | all | Queensland | 6 | 34 | 5 | 9 | 206 | 5.67 |
| 33209 | all | Queensland | 1 | 7 | 7 | 7 | 49 | 7 |
| 33210 | all | Queensland | 10 | 58 | 3 | 9 | 368 | 5.8 |
| 33211 | all | Queensland | 2 | 10 | 5 | 5 | 50 | 5 |
| 33214 | all | Queensland | 6 | 32 | 3 | 8 | 184 | 5.33 |
| 33216 | all | Queensland | 5 | 31 | 5 | 8 | 199 | 6.2 |
| 33219 | all | Queensland | 558 | 3,163 | 1 | 9 | 19,711 | 5.67 |
| 33220 | all | Queensland | 7 | 42 | 5 | 8 | 264 | 6 |
| 33223 | all | Queensland | 3 | 16 | 4 | 7 | 90 | 5.33 |
| 33224 | all | Queensland | 2 | 10 | 5 | 5 | 50 | 5 |
| 33227 | all | Queensland | 1 | 8 | 8 | 8 | 64 | 8 |
| 33230 | all | Queensland | 1,374 | 7,513 | 1 | 9 | 44,419 | 5.47 |
| 33232 | all | Queensland | 8 | 50 | 3 | 8 | 336 | 6.25 |
| 40002 | all | South Australia | 121,321 | 682,442 | 1 | 9 | 4,219,230 | 5.63 |
| 40008 | all | South Australia | 1 | 4 | 4 | 4 | 16 | 4 |
| 40009 | all | South Australia | 285 | 1,531 | 1 | 9 | 9,017 | 5.37 |
| 40015 | all | South Australia | 1 | 5 | 5 | 5 | 25 | 5 |
| 40016 | all | South Australia | 1 | 5 | 5 | 5 | 25 | 5 |
| 40017 | all | South Australia | 4 | 27 | 5 | 8 | 187 | 6.75 |
| 40019 | all | South Australia | 23 | 123 | 1 | 9 | 727 | 5.35 |
| 40023 | all | South Australia | 41 | 212 | 2 | 8 | 1,138 | 5.17 |
| 40025 | all | South Australia | 55 | 290 | 2 | 9 | 1,636 | 5.27 |
| 40028 | all | South Australia | 3 | 15 | 5 | 5 | 75 | 5 |
| 40029 | all | South Australia | 41 | 224 | 1 | 9 | 1,348 | 5.46 |
| 40031 | all | South Australia | 60 | 315 | 1 | 9 | 1,903 | 5.25 |