Block characteristics that we are interested in are
## [1] "age" "flats_total" "max_floor_lvl" "walk_to_station"
## [5] "direct_to_park" "direct_to_park" "walk_to_market" "to_BP_walk"
## [9] "good_school_1km"Block location variables (for maps and block identification):
## [1] "postal.code" "address" "lon" "lat"The number of reports from Bukit Panjang residential blocks is
## [1] 126779We will not include outlier blocks in subsequent analysis. Below are postal codes of outlier blocks in social issues, misc, or conservancy.
## [1] 670147 670105 670433 670424 670127 670134 670144 670426 670145 670257
## [11] 670428 670135 670103 670148 670478Exploratory analisis.
Below are categories we are working with and how we convert them to coefficients:
Now we will look at the fraction of negative sentiments in each category:
Coefficients
Coefficients involving the number of reports from a block will be calculated per 100 units.
First level
Here are block coefficients:
## We are constructing coefficients:## CONS DEFECTS SERVICES MISC SOCIALSecond level
Here are block coefficients:
## We are constructing coefficients:## conservancy lift_defects services misc electrical_defects building_defects social_issues sanitary water_defects landscape_defectsOverall negative sentiment
For each block, we will find the fraction of the total number of reports with negative sentiments and the fraction of the number of reports without sentiments.
Below is the distribution of the fraction reports with negative sentiments.
Correlations
Here we will do correlations of everything with everything.
Below are coefficients and their types:
## $blk_attr
## [1] "age" "flats_total" "max_floor_lvl" "walk_to_station"
## [5] "direct_to_park" "direct_to_park" "walk_to_market" "to_BP_walk"
## [9] "good_school_1km"
##
## $price_coefs
## [1] "price_perf_pre" "price_perf_main" "price_perf_post" "price_perf_total"
## [5] "annual_mob_pre" "annual_mob_main" "annual_mob_post" "annual_mob_total"
##
## $big
## [1] "CONS" "DEFECTS" "SERVICES" "MISC" "SOCIAL"
##
## $defect
## [1] "conservancy" "lift_defects" "services"
## [4] "misc" "electrical_defects" "building_defects"
## [7] "social_issues" "sanitary" "water_defects"
## [10] "landscape_defects"
##
## $social
## [1] "social_issues" "social_negative" "social_stranger" "social_neighbour"
## [5] "social_laundry" "social_vehicle" "social_noise" "social_burners"
## [9] "social_litter"
##
## $misc
## [1] "misc_negative" "misc_clean" "misc_obstruction"
## [4] "misc_illegal_park" "misc_littering" "misc_animals"
## [7] "misc_noise" "misc_burners"
##
## $cons
## [1] "cons_negative" "cons_clean" "cons_obstruction" "cons_crc"
## [5] "cons_animal" "cons_burners"Below is a correlation diagram of random data (just to get an idea of how many significant correlations would be observed if our data were completely random):
## Level of statistical significance = 0.01## We will not show insiginficant correlation coefficients
And here are correlation coefficients for the redisential blocks:
## [[1]]
## price_perf_pre price_perf_main price_perf_post price_perf_total
## age -0.26721733 0.08002461 -0.18155245 -0.17955309
## flats_total 0.14717803 -0.01671233 0.04721101 0.11516338
## max_floor_lvl -0.07660032 -0.20218120 0.26872443 0.02368084
## walk_to_station 0.10491574 -0.01361811 -0.04949232 0.02661497
## direct_to_park 0.27425838 0.16177704 -0.05409407 0.18227241
## walk_to_market 0.30639039 -0.03513222 -0.06747946 0.12021693
## to_BP_walk 0.30009421 0.16254843 -0.25649428 0.09037646
## good_school_1km -0.30162798 0.04418743 -0.03366372 -0.13895528
## annual_mob_pre annual_mob_main annual_mob_post annual_mob_total
## age -0.44779523 -0.36837921 -0.39641862 -0.53046544
## flats_total 0.04424693 0.06703757 0.11362315 0.09340690
## max_floor_lvl 0.08586918 0.05717298 0.26129854 0.16328220
## walk_to_station 0.12830867 0.15657672 0.15427869 0.18985553
## direct_to_park 0.26100066 0.12795908 0.09897472 0.22185699
## walk_to_market 0.29496969 0.29328941 0.22587406 0.35938690
## to_BP_walk 0.07547470 0.15986856 -0.12221602 0.06449442
## good_school_1km -0.37413806 -0.28361910 -0.22846950 -0.39481016
##
## [[2]]
## CONS DEFECTS SERVICES MISC SOCIAL
## age 0.20765877 0.19335773 0.17540558 0.16240316 0.03479585
## flats_total -0.29590554 -0.38996213 -0.11786052 -0.27009097 -0.11545125
## max_floor_lvl -0.22967513 -0.10536173 0.08014140 -0.07790590 -0.07126099
## walk_to_station -0.09462933 -0.05779282 -0.10086588 -0.09170480 -0.07423481
## direct_to_park -0.08412912 -0.08679095 -0.02865383 -0.01129295 -0.02680355
## walk_to_market -0.31412364 -0.18121282 -0.24446543 -0.29492411 -0.17453190
## to_BP_walk -0.01028949 -0.09394173 -0.04412071 -0.01357402 -0.02098390
## good_school_1km 0.26995848 0.23529494 0.18571111 0.23421639 0.13225839
##
## [[3]]
## conservancy lift_defects services misc
## age 0.20765877 -0.160462521 0.17540558 0.16240316
## flats_total -0.29590554 -0.002516304 -0.11786052 -0.27009097
## max_floor_lvl -0.22967513 0.294326768 0.08014140 -0.07790590
## walk_to_station -0.09462933 -0.060026784 -0.10086588 -0.09170480
## direct_to_park -0.08412912 -0.103892267 -0.02865383 -0.01129295
## walk_to_market -0.31412364 0.029670359 -0.24446543 -0.29492411
## to_BP_walk -0.01028949 -0.363593099 -0.04412071 -0.01357402
## good_school_1km 0.26995848 0.056389628 0.18571111 0.23421639
## electrical_defects building_defects social_issues sanitary
## age 0.37364220 0.06595491 0.03479585 0.32049405
## flats_total -0.34093021 -0.11862028 -0.11545125 -0.49152136
## max_floor_lvl -0.31685187 -0.03902666 -0.07126099 -0.36695551
## walk_to_station -0.11456979 -0.03096958 -0.07423481 0.04271503
## direct_to_park 0.04932966 0.05159587 -0.02680355 -0.10677958
## walk_to_market -0.24733729 -0.09785171 -0.17453190 -0.20017458
## to_BP_walk 0.17464065 -0.08805918 -0.02098390 0.18099560
## good_school_1km 0.19180366 0.17927405 0.13225839 0.19340178
## water_defects landscape_defects
## age 0.0014199003 0.13712236
## flats_total -0.1431243137 -0.30526122
## max_floor_lvl 0.0476692685 -0.24611699
## walk_to_station 0.0007648993 0.13346426
## direct_to_park -0.0111053474 -0.11866947
## walk_to_market -0.0059413823 -0.08702200
## to_BP_walk -0.0628331201 0.16489509
## good_school_1km 0.0795981647 0.09185141
##
## [[4]]
## social_issues social_negative social_stranger social_neighbour
## age 0.03479585 0.079184032 0.04883645 -0.09929805
## flats_total -0.11545125 0.001938485 -0.16456883 0.15091694
## max_floor_lvl -0.07126099 -0.086488770 -0.08860727 0.11968452
## walk_to_station -0.07423481 0.012043480 0.01801009 -0.07463785
## direct_to_park -0.02680355 -0.067590628 0.00614817 -0.03832273
## walk_to_market -0.17453190 -0.144344248 -0.16107741 -0.03723045
## to_BP_walk -0.02098390 -0.005974357 0.12208093 -0.20079287
## good_school_1km 0.13225839 0.177903226 0.09230834 0.09590141
## social_laundry social_vehicle social_noise social_burners
## age -0.23714681 -0.066613484 0.12855914 0.05560029
## flats_total 0.15748629 -0.019674978 -0.08272909 0.05458893
## max_floor_lvl 0.24029136 0.047536872 -0.12359277 -0.04861725
## walk_to_station -0.08079682 0.005493390 -0.01338954 -0.07215411
## direct_to_park 0.02303846 0.041313211 -0.03063818 0.01695697
## walk_to_market 0.07364668 -0.064547656 -0.12886255 -0.10646087
## to_BP_walk -0.16583502 0.084425521 0.07733188 0.10558300
## good_school_1km -0.09326650 -0.002907335 0.13340643 0.02876458
## social_litter
## age -0.057189578
## flats_total 0.086818138
## max_floor_lvl 0.066507042
## walk_to_station -0.026554325
## direct_to_park -0.001514514
## walk_to_market -0.119596125
## to_BP_walk -0.125794911
## good_school_1km 0.137473157
##
## [[5]]
## misc_negative misc_clean misc_obstruction misc_illegal_park
## age 0.208514362 0.18622399 -0.01653454 2.881434e-02
## flats_total -0.225696686 -0.18629167 -0.07647087 -8.074065e-02
## max_floor_lvl -0.129121714 -0.13068099 0.05559146 1.615351e-02
## walk_to_station -0.068623176 0.07403467 -0.01147821 -9.473678e-03
## direct_to_park -0.004650038 -0.00719897 0.07554899 5.685372e-05
## walk_to_market -0.243310997 -0.14840595 -0.06987110 -1.772993e-01
## to_BP_walk 0.011451399 0.05771117 -0.05932887 5.873192e-05
## good_school_1km 0.205385332 0.25127338 0.02253566 8.238721e-02
## misc_littering misc_animals misc_noise misc_burners
## age 0.0008446191 0.07785377 0.07079490 0.082677210
## flats_total -0.0013351946 -0.01244007 -0.12348488 -0.144082832
## max_floor_lvl 0.0074742108 -0.06493600 -0.04200079 -0.102485406
## walk_to_station 0.0421729951 0.08621807 -0.13639597 0.005890269
## direct_to_park 0.0480085975 0.13108514 0.08587974 -0.002855944
## walk_to_market -0.1298027294 0.02746792 -0.13906469 -0.173958136
## to_BP_walk 0.0197367261 0.15417330 0.02490177 0.059744148
## good_school_1km 0.0161140186 0.02481231 0.05274921 0.115732874
##
## [[6]]
## cons_negative cons_clean cons_obstruction cons_crc
## age 0.31039089 0.31332198 0.16644469 -0.48727118
## flats_total -0.30073854 -0.33185714 -0.21729894 0.01660294
## max_floor_lvl -0.29383541 -0.31629493 -0.09201549 0.30533418
## walk_to_station -0.13656525 -0.08316915 -0.10655430 -0.03950988
## direct_to_park -0.06607736 -0.09944535 -0.07989839 0.03925324
## walk_to_market -0.31168353 -0.31117769 -0.18919513 -0.03230117
## to_BP_walk 0.01691679 0.02506056 -0.06466973 -0.20374642
## good_school_1km 0.31145420 0.30923802 0.26133667 -0.18350712
## cons_animal cons_burners
## age 0.20886522 0.26517890
## flats_total -0.18747778 -0.17500610
## max_floor_lvl -0.21690160 -0.26590289
## walk_to_station 0.06709864 -0.07409936
## direct_to_park -0.06289605 -0.10062528
## walk_to_market -0.09503787 -0.15299313
## to_BP_walk 0.06752391 0.06825093
## good_school_1km 0.18653973 0.22089061
##
## [[7]]
## CONS DEFECTS SERVICES MISC SOCIAL
## price_perf_pre -0.17599166 -0.30252654 -0.35477533 -0.28245770 -0.07237539
## price_perf_main 0.05670719 0.02818911 -0.09699252 0.00329050 0.04166952
## price_perf_post 0.08808110 0.27888430 0.15828054 0.23419329 0.07281154
## price_perf_total -0.04584162 -0.02492420 -0.13089234 -0.03105451 0.02632769
## annual_mob_pre -0.09023556 -0.14906840 -0.34343282 -0.17094475 -0.03115550
## annual_mob_main -0.15462493 -0.17232627 -0.30785565 -0.18584423 0.01395145
## annual_mob_post -0.11764633 -0.06183660 -0.10583798 0.02909658 -0.01387463
## annual_mob_total -0.15692698 -0.17339672 -0.34591194 -0.15703027 -0.01405743
##
## [[8]]
## conservancy lift_defects services misc
## price_perf_pre -0.17599166 -0.19386543 -0.35477533 -0.28245770
## price_perf_main 0.05670719 -0.05396183 -0.09699252 0.00329050
## price_perf_post 0.08808110 0.29142542 0.15828054 0.23419329
## price_perf_total -0.04584162 0.01921852 -0.13089234 -0.03105451
## annual_mob_pre -0.09023556 -0.03770408 -0.34343282 -0.17094475
## annual_mob_main -0.15462493 -0.07868942 -0.30785565 -0.18584423
## annual_mob_post -0.11764633 0.06027025 -0.10583798 0.02909658
## annual_mob_total -0.15692698 -0.03197540 -0.34591194 -0.15703027
## electrical_defects building_defects social_issues sanitary
## price_perf_pre -0.18412493 -0.111183512 -0.07237539 -0.18630887
## price_perf_main 0.04382679 0.037601822 0.04166952 0.10411455
## price_perf_post 0.02681360 0.118933513 0.07281154 0.13492052
## price_perf_total -0.06492071 0.002332084 0.02632769 -0.01561086
## annual_mob_pre -0.19358051 0.058042350 -0.03115550 -0.09241415
## annual_mob_main -0.18525255 -0.025215620 0.01395145 -0.10422518
## annual_mob_post -0.17445353 -0.028436051 -0.01387463 -0.08193157
## annual_mob_total -0.24216846 0.006723460 -0.01405743 -0.12223442
## water_defects landscape_defects
## price_perf_pre -0.049277737 -0.12976325
## price_perf_main -0.026522124 0.04512421
## price_perf_post 0.091660169 0.06602761
## price_perf_total 0.006460595 -0.04232766
## annual_mob_pre -0.075668128 -0.10014731
## annual_mob_main 0.001368201 -0.05885558
## annual_mob_post 0.096879669 -0.06265384
## annual_mob_total -0.001138549 -0.09853460
##
## [[9]]
## social_issues social_negative social_stranger social_neighbour
## price_perf_pre -0.07237539 0.01923380 -0.082360469 0.087734085
## price_perf_main 0.04166952 0.01626268 -0.019818077 0.041487920
## price_perf_post 0.07281154 0.05690075 0.008772499 0.105307777
## price_perf_total 0.02632769 0.03061485 -0.044045123 0.123811487
## annual_mob_pre -0.03115550 -0.01938022 -0.040338442 -0.046068095
## annual_mob_main 0.01395145 -0.02198431 -0.010729747 0.027665797
## annual_mob_post -0.01387463 -0.02412296 -0.022892210 0.011703075
## annual_mob_total -0.01405743 -0.02822485 -0.032982147 -0.005852704
## social_laundry social_vehicle social_noise social_burners
## price_perf_pre 0.050073327 0.003642541 -0.051401256 0.094575508
## price_perf_main -0.006000044 -0.028347672 -0.042768509 -0.016085221
## price_perf_post 0.122648254 -0.039636383 0.004810418 -0.058754968
## price_perf_total 0.083125960 -0.008054841 -0.056048016 0.028188826
## annual_mob_pre -0.006508423 -0.007479327 -0.074090194 0.001790356
## annual_mob_main 0.036958598 0.086648746 -0.040737252 -0.039043053
## annual_mob_post 0.045943457 0.106186545 -0.082773329 -0.057281292
## annual_mob_total 0.030241893 0.074160407 -0.084927134 -0.037634790
## social_litter
## price_perf_pre 0.036551711
## price_perf_main 0.085570063
## price_perf_post 0.124326706
## price_perf_total 0.105028034
## annual_mob_pre -0.030636092
## annual_mob_main 0.024541518
## annual_mob_post -0.011198495
## annual_mob_total -0.008050883
##
## [[10]]
## misc_negative misc_clean misc_obstruction misc_illegal_park
## price_perf_pre -2.540087e-01 -0.173338695 -0.10577139 -0.075819046
## price_perf_main -3.661851e-02 0.009573945 0.05764941 0.030106015
## price_perf_post 1.080993e-01 0.134081017 0.10708604 0.181912123
## price_perf_total -1.128296e-01 -0.031444519 0.03384888 0.069715475
## annual_mob_pre -1.190076e-01 -0.113114032 0.03842884 0.018347894
## annual_mob_main -1.859249e-01 -0.121552983 0.05122998 -0.055968188
## annual_mob_post 9.787061e-05 -0.018802702 0.12560752 0.069956751
## annual_mob_total -1.421741e-01 -0.117157935 0.08780004 0.009301371
## misc_littering misc_animals misc_noise misc_burners
## price_perf_pre 0.05520884 -0.005400010 -0.107716789 0.041257449
## price_perf_main 0.07039395 -0.103583673 0.014757382 0.121148136
## price_perf_post 0.09376837 -0.114127039 0.101173108 0.098224213
## price_perf_total 0.09098342 -0.089838760 -0.009003767 0.108926485
## annual_mob_pre 0.04045562 0.011153952 -0.050948851 -0.024082557
## annual_mob_main 0.02953976 0.059494724 -0.038948610 0.005092499
## annual_mob_post 0.07997113 0.003279934 0.046869570 -0.061630054
## annual_mob_total 0.06235604 0.033494087 -0.025445700 -0.032014118
##
## [[11]]
## cons_negative cons_clean cons_obstruction cons_crc
## price_perf_pre -0.18802812 -0.18282940 -0.165403654 0.03574904
## price_perf_main 0.05741488 0.04808771 0.010087942 0.04206314
## price_perf_post 0.01829300 0.02609527 0.126468782 0.24763800
## price_perf_total -0.06916917 -0.07693586 -0.008814371 0.13291706
## annual_mob_pre -0.14240097 -0.14650196 -0.166572183 0.19084175
## annual_mob_main -0.14229444 -0.16332304 -0.109195732 0.11407516
## annual_mob_post -0.10436105 -0.12654255 -0.028453918 0.16439567
## annual_mob_total -0.17210763 -0.19169766 -0.141333083 0.20506079
## cons_animal cons_burners
## price_perf_pre -0.13166761 -0.007306378
## price_perf_main 0.05317911 0.099259339
## price_perf_post -0.04110375 0.003738050
## price_perf_total -0.08554259 0.047498793
## annual_mob_pre 0.03012319 -0.108166304
## annual_mob_main -0.14123690 -0.073635519
## annual_mob_post -0.16916350 -0.113255847
## annual_mob_total -0.11065362 -0.127603394
##
## [[12]]
## conservancy lift_defects services misc electrical_defects
## CONS 1.0000000 0.18203832 0.3167237 0.4870574 0.2169792
## DEFECTS 0.4668106 0.62092593 0.3829995 0.5537733 0.5520840
## SERVICES 0.3167237 0.21071240 1.0000000 0.4531650 0.2842216
## MISC 0.4870574 0.25458491 0.4531650 1.0000000 0.3207262
## SOCIAL 0.3401473 0.04740785 0.1164581 0.3701521 0.1753652
## building_defects social_issues sanitary water_defects
## CONS 0.28702877 0.3401473 0.4837014 0.12979745
## DEFECTS 0.44027895 0.1983149 0.6303682 0.43470724
## SERVICES 0.13816760 0.1164581 0.2149748 0.22443126
## MISC 0.34612938 0.3701521 0.4026135 0.29135417
## SOCIAL 0.07017548 1.0000000 0.2018759 0.07252013
## landscape_defects
## CONS 0.25027400
## DEFECTS 0.26191032
## SERVICES 0.03998538
## MISC 0.17983643
## SOCIAL 0.04575582
##
## [[13]]
## social_issues social_negative social_stranger social_neighbour
## CONS 0.3401473 0.25599115 0.2253220 0.1414708
## DEFECTS 0.1983149 0.06260637 0.2421648 -0.0373211
## SERVICES 0.1164581 0.02173814 0.2091274 -0.0857203
## MISC 0.3701521 0.28602285 0.3668174 0.0637021
## SOCIAL 1.0000000 0.67546646 0.7152921 0.5557506
## social_laundry social_vehicle social_noise social_burners
## CONS -0.023958100 0.11977948 0.1899839 0.053547965
## DEFECTS -0.109381381 0.02417619 0.2040610 -0.090266204
## SERVICES -0.070991011 -0.03004318 0.2011604 -0.083203181
## MISC 0.004523061 0.06488306 0.3235995 0.002309482
## SOCIAL 0.305431578 0.42955976 0.5740857 0.104249991
## social_litter
## CONS 0.23684905
## DEFECTS 0.05220135
## SERVICES -0.03587552
## MISC 0.11511357
## SOCIAL 0.53225146
##
## [[14]]
## misc_negative misc_clean misc_obstruction misc_illegal_park
## CONS 0.4533772 0.3028121 0.1582667 0.2088601
## DEFECTS 0.3973233 0.3233808 0.2850036 0.2165140
## SERVICES 0.3255552 0.2930647 0.1965269 0.1701785
## MISC 0.7132144 0.6589711 0.4111863 0.4299525
## SOCIAL 0.3673467 0.3001766 0.2635868 0.2614419
## misc_littering misc_animals misc_noise misc_burners
## CONS 0.3766051 0.09702633 0.09974968 0.2323650
## DEFECTS 0.1034140 0.07045594 0.19034438 0.1903335
## SERVICES 0.1286902 0.06264707 0.11451855 0.1507835
## MISC 0.3411231 0.14235920 0.43134269 0.3545225
## SOCIAL 0.4373739 0.04851877 0.32420509 0.1968521
##
## [[15]]
## cons_negative cons_clean cons_obstruction cons_crc cons_animal
## CONS 0.8480177 0.9506292 0.7026554 0.43393356 0.52010472
## DEFECTS 0.4133052 0.4700609 0.4070114 0.14867013 0.29566172
## SERVICES 0.2642440 0.2979874 0.2855456 0.08267637 0.14185475
## MISC 0.4421249 0.4603404 0.4283530 0.11306395 0.24259966
## SOCIAL 0.3664064 0.3428822 0.2839543 0.12118955 0.09874975
## cons_burners
## CONS 0.42863804
## DEFECTS 0.13635105
## SERVICES 0.03870275
## MISC 0.26273699
## SOCIAL 0.14516860
##
## [[16]]
## social_issues social_negative social_stranger
## conservancy 0.34014727 0.255991151 0.22532195
## lift_defects 0.04740785 -0.006944011 0.09857476
## services 0.11645807 0.021738137 0.20912744
## misc 0.37015211 0.286022851 0.36681744
## electrical_defects 0.17536516 0.126607609 0.17976638
## building_defects 0.07017548 0.025792859 0.10215353
## social_issues 1.00000000 0.675466457 0.71529215
## sanitary 0.20187591 0.038997290 0.17281641
## water_defects 0.07252013 -0.001067362 0.08960859
## landscape_defects 0.04575582 -0.023686629 0.12919577
## social_neighbour social_laundry social_vehicle social_noise
## conservancy 0.14147079 -0.023958100 0.119779479 0.189983890
## lift_defects 0.01427836 0.013711337 0.075423293 0.068772013
## services -0.08572030 -0.070991011 -0.030043179 0.201160440
## misc 0.06370210 0.004523061 0.064883059 0.323599471
## electrical_defects -0.01472933 -0.048631364 -0.077675465 0.206971517
## building_defects -0.07443830 -0.113053675 -0.000579408 0.108376491
## social_issues 0.55575061 0.305431578 0.429559758 0.574085719
## sanitary -0.04286290 -0.164685170 0.009553390 0.130848680
## water_defects 0.02753793 -0.093776607 0.019740781 0.088102860
## landscape_defects -0.11912975 -0.065102459 0.031084886 -0.002898882
## social_burners social_litter
## conservancy 0.053547965 0.236849053
## lift_defects -0.105389267 0.033905840
## services -0.083203181 -0.035875515
## misc 0.002309482 0.115113572
## electrical_defects -0.018594616 0.006666181
## building_defects 0.006664119 -0.070685027
## social_issues 0.104249991 0.532251460
## sanitary -0.049043247 0.077105308
## water_defects 0.015598720 0.086652810
## landscape_defects -0.038455379 0.023060110
##
## [[17]]
## misc_negative misc_clean misc_obstruction misc_illegal_park
## conservancy 0.4533772 0.30281206 0.15826666 0.20886015
## lift_defects 0.1668851 0.04753337 0.08875626 0.09182959
## services 0.3255552 0.29306469 0.19652692 0.17017847
## misc 0.7132144 0.65897113 0.41118631 0.42995250
## electrical_defects 0.2686990 0.16636773 0.13205329 0.11650047
## building_defects 0.1511554 0.20842452 0.32984050 0.21444277
## social_issues 0.3673467 0.30017655 0.26358683 0.26144187
## sanitary 0.3323378 0.36155886 0.23056028 0.15317464
## water_defects 0.1622811 0.20149545 0.22259779 0.09791680
## landscape_defects 0.1589384 0.27582071 0.04635970 0.05500459
## misc_littering misc_animals misc_noise misc_burners
## conservancy 0.37660510 0.09702633 0.09974968 0.23236504
## lift_defects 0.04088952 -0.04475115 0.13220814 0.10715027
## services 0.12869020 0.06264707 0.11451855 0.15078351
## misc 0.34112312 0.14235920 0.43134269 0.35452249
## electrical_defects 0.02663963 0.06417434 0.10590836 0.06134011
## building_defects 0.05236835 0.10093835 0.15076000 0.08213073
## social_issues 0.43737387 0.04851877 0.32420509 0.19685213
## sanitary 0.13159851 0.12139204 0.03313868 0.19944470
## water_defects 0.14516845 0.06986249 0.12916713 0.06951704
## landscape_defects -0.05171313 0.01893092 0.05059948 0.06065375
##
## [[18]]
## cons_negative cons_clean cons_obstruction cons_crc
## conservancy 0.84801770 0.9506292 0.7026554 0.43393356
## lift_defects 0.07934817 0.1315021 0.1224034 0.18778518
## services 0.26424401 0.2979874 0.2855456 0.08267637
## misc 0.44212492 0.4603404 0.4283530 0.11306395
## electrical_defects 0.30168827 0.2778955 0.2682576 -0.16188519
## building_defects 0.23991591 0.2535297 0.1924651 0.18532753
## social_issues 0.36640644 0.3428822 0.2839543 0.12118955
## sanitary 0.46582388 0.5166600 0.3815471 0.12591682
## water_defects 0.07481248 0.1406333 0.1130669 0.01083944
## landscape_defects 0.22783554 0.2685038 0.3104189 0.17693384
## cons_animal cons_burners
## conservancy 0.52010472 0.4286380369
## lift_defects 0.12903369 0.0008747492
## services 0.14185475 0.0387027530
## misc 0.24259966 0.2627369866
## electrical_defects 0.13217205 0.1073357405
## building_defects 0.21076421 0.0497417828
## social_issues 0.09874975 0.1451686033
## sanitary 0.31601401 0.1899196454
## water_defects 0.04190215 -0.0134510689
## landscape_defects 0.09720362 0.1584186513
##
## [[19]]
## misc_negative misc_clean misc_obstruction misc_illegal_park
## social_issues 0.36734667 0.3001765522 0.263586827 0.26144187
## social_negative 0.31633715 0.1649365797 0.151614978 0.21666688
## social_stranger 0.37620522 0.2543728606 0.200317441 0.25174753
## social_neighbour 0.07211165 0.1249490937 0.056581004 0.08513093
## social_laundry 0.08052756 0.1038586100 -0.042731254 0.13307788
## social_vehicle 0.05093363 -0.0001230406 -0.006510008 0.20862746
## social_noise 0.34286323 0.1811392604 0.194918437 0.10569404
## social_burners -0.01631797 0.0181743320 0.015227378 0.06487275
## social_litter 0.10467030 0.1467818586 0.050492576 0.09372586
## misc_littering misc_animals misc_noise misc_burners
## social_issues 0.4373739 0.04851877 0.324205095 0.19685213
## social_negative 0.3249581 0.06743715 0.300070892 0.11757768
## social_stranger 0.2381036 0.05953848 0.427782080 0.10782491
## social_neighbour 0.3100901 -0.03457814 -0.003737174 0.11686693
## social_laundry 0.1435815 -0.07177935 0.009567965 -0.06721842
## social_vehicle 0.1295192 0.01149854 0.093204349 -0.05074071
## social_noise 0.1666025 0.12696998 0.430314830 0.13177112
## social_burners 0.1660560 0.08174807 0.066693864 0.09916810
## social_litter 0.2993568 -0.04549925 0.060548730 0.13550225
##
## [[20]]
## cons_negative cons_clean cons_obstruction cons_crc
## social_issues 0.36640644 0.34288218 0.28395430 0.12118955
## social_negative 0.26099665 0.23914980 0.20663521 0.05072117
## social_stranger 0.20838610 0.19285799 0.21018038 0.10765853
## social_neighbour 0.16106713 0.16475867 0.06350342 0.06400915
## social_laundry -0.01491822 -0.01631543 -0.04335320 0.10466656
## social_vehicle 0.13765862 0.09583381 0.07012992 0.17627598
## social_noise 0.13768907 0.16305866 0.23383018 -0.02782990
## social_burners 0.06564161 0.05186119 0.10846248 -0.01555443
## social_litter 0.27123948 0.26327235 0.09087672 0.09904298
## cons_animal cons_burners
## social_issues 0.098749750 0.145168603
## social_negative 0.174740993 0.094675300
## social_stranger 0.119990090 0.108148396
## social_neighbour -0.007636086 0.022232368
## social_laundry -0.116393634 -0.040638182
## social_vehicle -0.002137711 0.068687070
## social_noise 0.182740118 0.005214697
## social_burners -0.007849726 0.092050728
## social_litter 0.012071955 0.054990166
##
## [[21]]
## cons_negative cons_clean cons_obstruction cons_crc
## misc_negative 0.45100793 0.46926125 0.31508297 0.048725156
## misc_clean 0.34821139 0.34974639 0.21391653 0.105014549
## misc_obstruction 0.19910489 0.15587016 0.15498091 0.191146202
## misc_illegal_park 0.22396838 0.20687266 0.18308878 0.130523085
## misc_littering 0.33965695 0.36393506 0.23256620 0.099724404
## misc_animals 0.03908207 0.08374843 0.06161553 -0.039466114
## misc_noise 0.12051295 0.11052979 0.09571808 -0.003663948
## misc_burners 0.18611678 0.19157757 0.17841178 0.090769422
## cons_animal cons_burners
## misc_negative 0.18866182 0.25728775
## misc_clean 0.08469676 0.17188043
## misc_obstruction 0.03251889 0.04453406
## misc_illegal_park 0.04938270 0.06975681
## misc_littering 0.18698719 0.13743460
## misc_animals 0.23464480 -0.01244584
## misc_noise -0.02646907 0.08474055
## misc_burners 0.09618100 0.25243416