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"moduleid","temperature","relative_humidity","voc","nox","pm1","pm25","pm4","pm10","timestamp" | |
"868050040248441","39.08499908447266","22.44000053405762",0,0,"2","2.099999904632568","2.099999904632568","2.099999904632568","2023-08-01 14:13:56" | |
"868050040248441","39.31000137329102","21.04999923706055",0,0,"2.299999952316284","2.400000095367432","2.400000095367432","2.400000095367432","2023-08-01 14:44:28" | |
"868050040248441","38.90999984741211","21.54999923706055",0,0,"2.700000047683716","3.200000047683716","3.5","3.599999904632568","2023-08-01 15:14:58" | |
"868050040248441","38.86000061035156","22.63999938964844",0,0,"2.900000095367432","3","3","3","2023-08-01 15:45:29" | |
"868050040248441","37.5","21.45999908447266",0,0,"1.899999976158142","2","2","2","2023-08-01 16:16:00" | |
"868050040248441","38.07500076293945","20.70000076293945",0,0,"2.900000095367432","3","3","3","2023-08-01 16:46:30" | |
"868050040248441","37.67499923706055","21.45999908447266",0,0,"2.099999904632568","2.799999952316284","3.299999952316284","3.5","202 |
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sprite |
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from __future__ import print_function, unicode_literals | |
import random | |
import logging | |
import os | |
os.environ['NLTK_DATA'] = os.getcwd() + '/nltk_data' | |
from textblob import TextBlob | |
from config import FILTER_WORDS |
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city | rats | |
---|---|---|
Brookline | 40 | |
Boston | 90 | |
Cambridge | 30 | |
Somerville | 60 | |
Watertown | 75 | |
Medford | 10 | |
Chelsea | 55 |
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date | rate | |
---|---|---|
Jan 2005 | 5.3 | |
Feb 2005 | 5.4 | |
Mar 2005 | 5.2 | |
Apr 2005 | 5.2 | |
May 2005 | 5.1 | |
Jun 2005 | 5.0 | |
Jul 2005 | 5.0 | |
Aug 2005 | 4.9 | |
Sep 2005 | 5.0 |
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Jan 2005 | 5.3 | |
---|---|---|
Feb 2005 | 5.4 | |
Mar 2005 | 5.2 | |
Apr 2005 | 5.2 | |
May 2005 | 5.1 | |
Jun 2005 | 5.0 | |
Jul 2005 | 5.0 | |
Aug 2005 | 4.9 | |
Sep 2005 | 5.0 |
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city | rats | |
---|---|---|
Brookline | 60 | |
Boston | 20 | |
Cambridge | 50 | |
Somerville | 90 | |
Watertown | 60 | |
Medford | 40 | |
Chelsea | 10 |
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Brookline | 40 | |
---|---|---|
Boston | 90 | |
Cambridge | 30 | |
Somerville | 60 | |
Watertown | 75 | |
Medford | 10 | |
Chelsea | 55 |
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city | rats_2015 | coffee_2015 | rats_2016 | coffee_2016 | |
---|---|---|---|---|---|
Somerville | 60 | 40 | 40 | 60 | |
Cambridge | 30 | 90 | 80 | 100 | |
Boston | 90 | 120 | 10 | 30 | |
Brookline | 40 | 50 | 60 | 30 | |
Chelsea | 10 | 10 | 100 | 120 |
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