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 |
|---|---|---|---|---|---|---|---|---|
| 10001 | all | New South Wales | 1 | 5 | 5 | 5 | 25 | 5 |
| 10002 | all | New South Wales | 1 | 9 | 9 | 9 | 81 | 9 |
| 10004 | all | New South Wales | 3 | 19 | 5 | 9 | 131 | 6.33 |
| 10007 | all | New South Wales | 7 | 45 | 4 | 9 | 317 | 6.43 |
| 10008 | all | New South Wales | 1 | 7 | 7 | 7 | 49 | 7 |
| 10010 | all | New South Wales | 4 | 30 | 7 | 8 | 226 | 7.5 |
| 10015 | all | New South Wales | 5 | 34 | 5 | 8 | 238 | 6.8 |
| 10016 | all | New South Wales | 1 | 3 | 3 | 3 | 9 | 3 |
| 10022 | all | New South Wales | 2 | 8 | 3 | 5 | 34 | 4 |
| 10024 | all | New South Wales | 245 | 1,474 | 1 | 9 | 9,464 | 6.02 |
| 10026 | all | New South Wales | 3 | 21 | 6 | 8 | 149 | 7 |
| 10027 | all | New South Wales | 1,731 | 9,637 | 1 | 9 | 58,221 | 5.57 |
| 10029 | all | New South Wales | 2 | 9 | 4 | 5 | 41 | 4.5 |
| 10030 | all | New South Wales | 25 | 144 | 3 | 9 | 890 | 5.76 |
| 10033 | all | New South Wales | 2,610 | 14,233 | 1 | 9 | 85,409 | 5.45 |
| 10037 | all | New South Wales | 1 | 5 | 5 | 5 | 25 | 5 |
| 10041 | all | New South Wales | 1 | 5 | 5 | 5 | 25 | 5 |
| 10044 | all | New South Wales | 7 | 43 | 5 | 8 | 277 | 6.14 |
| 10045 | all | New South Wales | 1 | 5 | 5 | 5 | 25 | 5 |
| 10046 | all | New South Wales | 28 | 157 | 2 | 9 | 961 | 5.61 |
| 10047 | all | New South Wales | 1 | 5 | 5 | 5 | 25 | 5 |
| 10055 | all | New South Wales | 1 | 5 | 5 | 5 | 25 | 5 |
| 10056 | all | New South Wales | 1 | 5 | 5 | 5 | 25 | 5 |
| 10059 | all | New South Wales | 2 | 10 | 5 | 5 | 50 | 5 |
| 10060 | all | New South Wales | 2 | 11 | 4 | 7 | 65 | 5.5 |