Upload 50 files

demo_medium_results/ml_models/incident_severity_rf.pkl

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+version https://git-lfs.github.com/spec/v1
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+size 88378390

demo_medium_results/ml_models/noise_rf.pkl

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+version https://git-lfs.github.com/spec/v1
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demo_medium_results/ml_tables/clf_metrics_incident_severity.xls

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+roc_auc,accuracy,n_test
+0.4951799603106231,0.6083333333333333,3000

demo_medium_results/ml_tables/clf_top_feature_importances.xls

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+feature,importance
+temp_c,0.3020908064901548
+wind_kph,0.21943199342156494
+month,0.18824802944209523
+precip_mm,0.08265738450314276
+snow_cm,0.04488160430984791
+reported_by_sensor,0.0175009837394676
+reported_by_officer,0.01664913507958805
+reported_by_citizen,0.016427849497511346
+category_animal,0.012985613483912134
+category_theft,0.012825242337572812
+category_disturbance,0.012002236110311214
+category_noise,0.011955560538622585
+category_other,0.011693654355080836
+category_vandalism,0.010976742875587735
+category_traffic,0.010530232689008953
+has_bike_infra_True,0.01015739349252703
+has_bike_infra_False,0.009652691340978256
+heatwave_False,0.004152965132684116
+heatwave_nan,0.00267231439992295
+heatwave_True,0.0025075667604184905

demo_medium_results/ml_tables/cluster_assignments.xls

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+origin_street_id,cluster
+1,2
+2,2
+3,3
+4,3
+5,3
+6,3
+7,0
+8,2
+9,2
+10,0
+11,0
+12,2
+13,3
+14,1
+15,1

demo_medium_results/ml_tables/cluster_sizes.xls

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+cluster,n_streets
+0,3
+1,2
+2,5
+3,5

demo_medium_results/ml_tables/regr_noise_metrics.xls

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+MAE,R2,n_test
+5.521102874867018,0.3084211030160505,2210

demo_medium_results/ml_tables/regr_top_feature_importances.xls

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+feature,importance
+precip_mm,0.2310747675311612
+temp_c,0.22329150597165334
+snow_cm,0.11515352978240674
+wind_kph,0.09830329459756305
+month,0.0751718871956055
+r__vehicles_per_day,0.06952766362872002
+r__bikes_per_day,0.06843694680252863
+r__peds_per_day,0.06677741212035664
+heatwave_nan,0.04899164190815283
+heatwave_False,0.0016815402567010459
+heatwave_True,0.0015898102051510384

demo_medium_results/tables/bike_facility_counts.xls

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+facility_type,count
+painted_lane,6
+protected_lane,2
+shared,1

demo_medium_results/tables/building_issue_counts.xls

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+type,count
+hvac_failure,676
+roof_leak,662
+plumbing_issue,276

demo_medium_results/tables/dataset_shapes.xls

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+table,rows
+streets,15
+parks,4
+poi,19
+households,8000
+pets,3213
+pet_inc,338
+trips,120000
+safety,12000
+events,195
+obs,35000
+lines,4
+stops,4
+ridership,92
+bike,9
+traffic,315
+prices,301
+weather,101136
+trees,79
+infra,253
+bissues,1614

demo_medium_results/tables/events_attendance_by_year.xls

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+year,attendees_est
+1946,2999
+1947,2999
+1948,3000
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+2013,7999
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+2020,7999
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demo_medium_results/tables/households_profile.xls

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+era,dwelling_type,tenure,n
+1800s,apartment,own,185
+1800s,apartment,rent,149
+1800s,condo,own,174
+1800s,condo,rent,165
+1800s,single_family,own,156
+1800s,single_family,rent,160
+1800s,triple_decker,own,175
+1800s,triple_decker,rent,139
+1900-1945,apartment,own,172
+1900-1945,apartment,rent,171
+1900-1945,condo,own,176
+1900-1945,condo,rent,179
+1900-1945,single_family,own,145
+1900-1945,single_family,rent,163
+1900-1945,triple_decker,own,172
+1900-1945,triple_decker,rent,151
+1946-1999,apartment,own,163
+1946-1999,apartment,rent,146
+1946-1999,condo,own,167
+1946-1999,condo,rent,159
+1946-1999,single_family,own,157
+1946-1999,single_family,rent,165
+1946-1999,triple_decker,own,170
+1946-1999,triple_decker,rent,158
+2000-2049,apartment,own,180
+2000-2049,apartment,rent,188
+2000-2049,condo,own,171
+2000-2049,condo,rent,194
+2000-2049,single_family,own,174
+2000-2049,single_family,rent,170
+2000-2049,triple_decker,own,199
+2000-2049,triple_decker,rent,141
+2050-2099,apartment,own,169
+2050-2099,apartment,rent,155
+2050-2099,condo,own,171
+2050-2099,condo,rent,150
+2050-2099,single_family,own,168
+2050-2099,single_family,rent,158
+2050-2099,triple_decker,own,173
+2050-2099,triple_decker,rent,153
+2100-2199,apartment,own,153
+2100-2199,apartment,rent,158
+2100-2199,condo,own,186
+2100-2199,condo,rent,183
+2100-2199,single_family,own,172
+2100-2199,single_family,rent,180
+2100-2199,triple_decker,own,173
+2100-2199,triple_decker,rent,164

demo_medium_results/tables/infra_event_counts.xls

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+type,count
+water_main_break,89
+power_outage,86
+road_potholes,54
+tree_fall,24

demo_medium_results/tables/mobility_mode_counts_by_era.xls

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+era,autonomous,bike,bus,car,horse,micromobility,streetcar,subway,walk
+1800s,0,0,0,0,2804,0,579,0,16072
+1900-1945,0,0,2023,3974,0,0,5020,0,8975
+1946-1999,0,1319,3515,10124,0,0,0,633,3841
+2000-2049,0,2192,2547,8051,0,800,0,3685,3836
+2050-2099,4051,2293,1908,1863,0,1549,0,4393,3570
+2100-2199,6062,2378,1626,629,0,1247,0,5141,3300

demo_medium_results/tables/mobility_mode_share_by_era.xls

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+era,autonomous,bike,bus,car,horse,micromobility,streetcar,subway,walk
+1800s,0.0,0.0,0.0,0.0,0.14412747365715756,0.0,0.029760986892829605,0.0,0.8261115394500128
+1900-1945,0.0,0.0,0.10119047619047619,0.1987795118047219,0.0,0.0,0.2511004401760704,0.0,0.4489295718287315
+1946-1999,0.0,0.06787772745986002,0.18088719637710993,0.5209962947715109,0.0,0.0,0.0,0.03257513379991766,0.1976636475916015
+2000-2049,0.0,0.10383212543223912,0.12064800341054427,0.3813651650798162,0.0,0.03789493628913836,0.0,0.17455355028184358,0.18170621950641846
+2050-2099,0.2063993478371631,0.1168288582055332,0.09721302287664951,0.09492026290314363,0.0,0.0789218933102359,0.0,0.22382432363580781,0.18189229123146686
+2100-2199,0.29740469999509395,0.1166658489918069,0.07977235931904038,0.030859049207673062,0.0,0.06117843300789874,0.0,0.2522199872442722,0.16189962223421478

demo_medium_results/tables/mobility_mode_share_overall.xls

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+mode,share
+walk,0.32995
+car,0.20534166666666667
+subway,0.11543333333333333
+bus,0.096825
+autonomous,0.084275
+bike,0.06818333333333333
+streetcar,0.046658333333333336
+micromobility,0.029966666666666666
+horse,0.023366666666666668

demo_medium_results/tables/pets_species_counts.xls

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+species,count
+dog,2067
+cat,960
+other,186

demo_medium_results/tables/poi_mix.xls

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+category,subcategory,count
+community_center,civic,3
+bakery,retail,2
+cafe,coffee_tea,2
+hardware,retail,2
+post_office,civic,2
+bank,retail,1
+bar,neighborhood,1
+clinic,primary,1
+pharmacy,retail,1
+playground,standard,1
+school,public,1
+shelter,animal,1
+urgent_care,clinic,1

demo_medium_results/tables/safety_incidents_by_category.xls

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+category,count
+traffic,1740
+theft,1739
+noise,1735
+vandalism,1720
+disturbance,1702
+animal,1702
+other,1662

demo_medium_results/tables/transit_ridership_by_year_pivot.xls

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+year,1,2,3,4
+1890,,1500.0,,
+1895,,1575.0,,
+1900,,1650.0,,
+1905,,1724.0,,
+1910,,1800.0,,
+1912,4000.0,,,
+1915,,1875.0,,
+1917,4200.0,,,
+1920,,1950.0,,
+1922,4400.0,,,
+1925,,2025.0,,
+1927,4600.0,,,
+1930,,2100.0,,
+1932,4800.0,,,
+1935,,2175.0,,
+1937,5000.0,,,
+1940,,2250.0,,
+1942,5200.0,,,
+1945,,2325.0,,
+1947,5400.0,,,
+1950,,2400.0,1200.0,
+1952,5600.0,,,
+1955,,2475.0,1260.0,
+1957,5800.0,,,
+1960,,,1320.0,
+1962,6000.0,,,
+1965,,,1380.0,
+1967,6200.0,,,
+1970,,,1440.0,
+1972,6400.0,,,
+1975,,,1500.0,
+1977,6600.0,,,
+1980,,,1560.0,
+1982,6800.0,,,
+1985,,,1620.0,
+1987,7000.0,,,
+1990,,,1680.0,
+1992,7200.0,,,
+1995,,,1740.0,
+1997,7400.0,,,
+2000,,,1800.0,
+2002,7600.0,,,
+2005,,,1860.0,
+2007,7800.0,,,
+2010,,,1920.0,
+2012,8000.0,,,
+2015,,,1980.0,
+2017,8200.0,,,
+2020,,,2040.0,
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demo_medium_results/tables/weather_rain_monthly_sum.xls

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+month,precip_mm
+1,25870
+2,23789
+3,29388
+4,32648
+5,31309
+6,25631
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+8,23547
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+10,31346
+11,31205
+12,30338

demo_medium_results/tables/weather_snow_monthly_sum.xls

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+month,snow_cm
+1,26398.9
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+3,12298.9
+4,2416.6
+5,0.0
+6,0.0
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+12,24330.4

demo_medium_results/tables/weather_temp_monthly_mean.xls

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+month,temp_c
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+12,8.54376364499288