Closed evz closed 10 years ago
Let's add the following filters. Once we have them implemented, we can play around with putting them in to an accordion for 'advanced search'
Come up with a set of groupings (inside, street, vacant property, etc) and display in a multi-select with Chosen
Same as above - come up with a set of groupings based on what we already have (violent, property, quality of life) and list all types under each.
We might want to weed through these a bit this is a:
SELECT count(location_description) AS loc_count, location_description
FROM dat_chicago_crimes_all
GROUP BY location_description
ORDER BY loc_count DESC;
Count | Location Description |
---|---|
1473808 | STREET |
923045 | RESIDENCE |
543269 | SIDEWALK |
528677 | APARTMENT |
202372 | OTHER |
155665 | PARKING LOT/GARAGE(NON.RESID.) |
124164 | ALLEY |
122657 | SCHOOL, PUBLIC, BUILDING |
109357 | RESIDENCE-GARAGE |
95111 | RESIDENCE PORCH/HALLWAY |
89214 | SMALL RETAIL STORE |
84737 | VEHICLE NON-COMMERCIAL |
76719 | RESTAURANT |
71715 | GROCERY FOOD STORE |
62781 | DEPARTMENT STORE |
55956 | GAS STATION |
52222 | CHA PARKING LOT/GROUNDS |
43030 | RESIDENTIAL YARD (FRONT/BACK) |
41891 | PARK PROPERTY |
41802 | COMMERCIAL / BUSINESS OFFICE |
32342 | CHA APARTMENT |
32160 | CTA PLATFORM |
26718 | BAR OR TAVERN |
25235 | DRUG STORE |
24002 | CHA HALLWAY/STAIRWELL/ELEVATOR |
23616 | SCHOOL, PUBLIC, GROUNDS |
22516 | BANK |
21459 | HOTEL/MOTEL |
19238 | TAVERN/LIQUOR STORE |
19094 | VACANT LOT/LAND |
16827 | CTA BUS |
16773 | CTA TRAIN |
15970 | DRIVEWAY - RESIDENTIAL |
15703 | AIRPORT/AIRCRAFT |
15074 | HOSPITAL BUILDING/GROUNDS |
13168 | POLICE FACILITY/VEH PARKING LOT |
12087 | CHURCH/SYNAGOGUE/PLACE OF WORSHIP |
11332 | GOVERNMENT BUILDING/PROPERTY |
11254 | CONSTRUCTION SITE |
10659 | SCHOOL PRIVATE BUILDING |
9886 | NURSING HOME/RETIREMENT HOME |
8857 | ABANDONED BUILDING |
8675 | CURRENCY EXCHANGE |
8527 | CTA GARAGE / OTHER PROPERTY |
8134 | CONVENIENCE STORE |
7874 | WAREHOUSE |
6581 | BARBERSHOP |
6118 | FACTORY/MANUFACTURING BUILDING |
5757 | MEDICAL/DENTAL OFFICE |
5498 | ATHLETIC CLUB |
5232 | ATM (AUTOMATIC TELLER MACHINE) |
5191 | TAXICAB |
4757 | COLLEGE/UNIVERSITY GROUNDS |
4739 | OTHER RAILROAD PROP / TRAIN DEPOT |
4699 | LIBRARY |
4287 | CLEANING STORE |
4160 | VEHICLE-COMMERCIAL |
3611 | SPORTS ARENA/STADIUM |
3262 | CTA BUS STOP |
3167 | "SCHOOL |
2275 | OTHER COMMERCIAL TRANSPORTATION |
2187 | CAR WASH |
2067 | AIRPORT TERMINAL UPPER LEVEL - SECURE AREA |
2059 | MOVIE HOUSE/THEATER |
1948 | DAY CARE CENTER |
1416 | APPLIANCE STORE |
1129 | COLLEGE/UNIVERSITY RESIDENCE HALL |
947 | DELIVERY TRUCK |
892 | COIN OPERATED MACHINE |
826 | AUTO |
811 | FIRE STATION |
799 | HIGHWAY/EXPRESSWAY |
773 | LAKEFRONT/WATERFRONT/RIVERBANK |
679 | AIRPORT TERMINAL LOWER LEVEL - NON-SECURE AREA |
642 | JAIL / LOCK-UP FACILITY |
589 | POOL ROOM |
586 | FEDERAL BUILDING |
524 | BOWLING ALLEY |
499 | ANIMAL HOSPITAL |
492 | BOAT/WATERCRAFT |
393 | CREDIT UNION |
362 | HOUSE |
339 | FOREST PRESERVE |
327 | AIRPORT EXTERIOR - NON-SECURE AREA |
313 | AIRPORT BUILDING NON-TERMINAL - NON-SECURE AREA |
295 | SAVINGS AND LOAN |
288 | AIRPORT TERMINAL UPPER LEVEL - NON-SECURE AREA |
282 | PAWN SHOP |
278 | AIRPORT PARKING LOT |
272 | AIRPORT TERMINAL LOWER LEVEL - SECURE AREA |
270 | CEMETARY |
268 | BRIDGE |
234 | AIRPORT VENDING ESTABLISHMENT |
200 | NEWSSTAND |
195 | PORCH |
191 | AIRCRAFT |
186 | AIRPORT BUILDING NON-TERMINAL - SECURE AREA |
127 | YARD |
114 | PARKING LOT |
113 | AIRPORT EXTERIOR - SECURE AREA |
80 | VACANT LOT |
68 | HALLWAY |
57 | RETAIL STORE |
55 | GANGWAY |
40 | GARAGE |
39 | AIRPORT TRANSPORTATION SYSTEM (ATS) |
38 | CHA GROUNDS |
38 | GAS STATION DRIVE/PROP. |
36 | AIRPORT TERMINAL MEZZANINE - NON-SECURE AREA |
34 | CHA HALLWAY |
29 | CHA PARKING LOT |
28 | BASEMENT |
25 | TAVERN |
14 | VESTIBULE |
14 | CLUB |
14 | HOTEL |
13 | STAIRWELL |
12 | RAILROAD PROPERTY |
12 | OFFICE |
9 | GARAGE/AUTO REPAIR |
9 | BARBER SHOP/BEAUTY SALON |
8 | DRIVEWAY |
8 | SCHOOL YARD |
8 | CHA STAIRWELL |
7 | DUMPSTER |
7 | TRUCK |
6 | CHA LOBBY |
6 | TAXI CAB |
5 | WOODED AREA |
5 | MOTEL |
5 | LIQUOR STORE |
4 | RIVER |
4 | CHURCH |
3 | CTA L PLATFORM |
3 | LAKE |
3 | HOSPITAL |
3 | CHA BREEZEWAY |
3 | CHA PLAY LOT |
3 | TRAILER |
3 | COACH HOUSE |
2 | CTA PROPERTY |
2 | CHURCH PROPERTY |
2 | NURSING HOME |
2 | FACTORY |
2 | LIVERY STAND OFFICE |
2 | PUBLIC HIGH SCHOOL |
2 | CHA ELEVATOR |
2 | COUNTY JAIL |
2 | SEWER |
2 | PRAIRIE |
2 | RIVER BANK |
2 | YMCA |
1 | FUNERAL PARLOR |
1 | BANQUET HALL |
1 | CTA L TRAIN |
1 | LOADING DOCK |
1 | PUBLIC GRAMMAR SCHOOL |
1 | LAUNDRY ROOM |
1 | ROOMING HOUSE |
1 | JUNK YARD/GARBAGE DUMP |
1 | LIVERY AUTO |
1 | TRUCKING TERMINAL |
Same goes for Primary Type (used a similar query):
Count | Primary Type |
---|---|
1110750 | THEFT |
995853 | BATTERY |
631091 | CRIMINAL DAMAGE |
621190 | NARCOTICS |
334547 | OTHER OFFENSE |
327051 | ASSAULT |
322513 | BURGLARY |
262511 | MOTOR VEHICLE THEFT |
203854 | ROBBERY |
173539 | DECEPTIVE PRACTICE |
160346 | CRIMINAL TRESPASS |
63201 | PROSTITUTION |
51269 | WEAPONS VIOLATION |
38164 | PUBLIC PEACE VIOLATION |
32875 | OFFENSE INVOLVING CHILDREN |
19825 | SEX OFFENSE |
19277 | CRIM SEXUAL ASSAULT |
13126 | GAMBLING |
12707 | LIQUOR LAW VIOLATION |
9003 | ARSON |
6524 | HOMICIDE |
6172 | INTERFERE WITH PUBLIC OFFICER |
5749 | KIDNAPPING |
3290 | INTIMIDATION |
3120 | INTERFERENCE WITH PUBLIC OFFICER |
2535 | STALKING |
439 | OFFENSES INVOLVING CHILDREN |
269 | OBSCENITY |
107 | PUBLIC INDECENCY |
93 | OTHER NARCOTIC VIOLATION |
23 | RITUALISM |
12 | NON-CRIMINAL |
6 | OTHER OFFENSE |
2 | NON-CRIMINAL (SUBJECT SPECIFIED) |
2 | NON - CRIMINAL |
1 | DOMESTIC VIOLENCE |
For the location description, this is a lot of fields. We should come up with some sensible groupings. Making a new issue for that.
Related c9eb664bdd40237ef0ecc72d45e4fb24ab274f31
So I think the last couple things here are the school attendance boundaries and the wards. Wards are pretty simple since they are within the crime data. We'll need to discuss what the best approach to making queries using attendance boundaries.
First pass is done on this. Let's open new filters as their own issues
Administrative geographies - beats, wards, school attendance, police districts Where the crime occurred - street, abandoned buildings, or vacant lots "indoor versus outdoor"