# install the packages below if not installed yet
library(tidyverse)
library(leaflet)
library(stringr)
library(sf)
library(here)
library(widgetframe)
library(googleVis)
# set options to display googleVis plots
op <- options(gvis.plot.tag = 'chart')Note: If you qmd file submission renders you will receive total of (5 points Extra Credit)
Directions: Complete the two (2) tasks below. Code chunks are included but you can add additional as needed using
Ctrl+ Alt + Ikey combination.
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department’s CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org.
Link to the data: [https://data.cityofchicago.org/Public-Safety/Crimes-2017/d62x-nvdr]
Note: I have placed my data file in a subfolder in the working directory called data. Adjust the path in the read.csv()` function when you read your data file that is provided in the project item.
You can also read it directly from the https location, code commented in the chunk below but it is not practical to knit your document and read the file from the web every time!
# create data.frame reading the data from the web with read.csv() function, user HEADER=true as columns carry the name of the variables
crimes <- read.csv("C:/Users/dasha/Downloads/Crimes-2017.csv", header = TRUE)
dim(crimes)[1] 268221 30# Uncomment the line below if you want to read the file from the web
crimes<- read.csv("https://data.cityofchicago.org/api/views/d62x-nvdr/rows.csv?accessType=DOWNLOAD", header = TRUE)
# have a look at the data
glimpse(crimes)Rows: 269,273
Columns: 22
$ ID <int> 11192233, 11196379, 11192540, 11192254, 11192239,…
$ Case.Number <chr> "JB100016", "JB105867", "JB100551", "JB100003", "…
$ Date <chr> "12/31/2017 11:58:00 PM", "12/31/2017 11:50:00 PM…
$ Block <chr> "046XX N ST LOUIS AVE", "024XX N LAKE SHORE DR NB…
$ IUCR <chr> "0630", "0460", "0890", "041A", "1320", "1811", "…
$ Primary.Type <chr> "BURGLARY", "BATTERY", "THEFT", "BATTERY", "CRIMI…
$ Description <chr> "ATTEMPT FORCIBLE ENTRY", "SIMPLE", "FROM BUILDIN…
$ Location.Description <chr> "APARTMENT", "MOVIE HOUSE/THEATER", "HOTEL/MOTEL"…
$ Arrest <chr> "false", "false", "false", "false", "false", "tru…
$ Domestic <chr> "false", "false", "false", "true", "true", "false…
$ Beat <int> 1723, 1935, 1833, 522, 1235, 1633, 1712, 513, 183…
$ District <int> 17, 19, 18, 5, 12, 16, 17, 5, 18, 22, 22, 8, 5, 1…
$ Ward <int> 33, 43, 42, 34, 25, 38, 39, 34, 42, 21, 21, 13, 9…
$ Community.Area <int> 14, 7, 8, 53, 31, 15, 14, 49, 8, 73, 71, 65, 50, …
$ FBI.Code <chr> "05", "08B", "06", "04B", "14", "18", "14", "26",…
$ X.Coordinate <int> 1152214, 1175293, 1177508, 1178329, 1173432, 1139…
$ Y.Coordinate <int> 1930694, 1916610, 1905401, 1828012, 1891037, 1925…
$ Year <int> 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2…
$ Updated.On <chr> "05/04/2018 03:51:04 PM", "05/04/2018 03:51:04 PM…
$ Latitude <dbl> 41.96569, 41.92656, 41.89575, 41.68337, 41.85643,…
$ Longitude <dbl> -87.71573, -87.63129, -87.62350, -87.62283, -87.6…
$ Location <chr> "POINT (-87.715726125 41.965693651)", "POINT (-87…a) (10 pts) Describe the data, how many observations on how many variables. Can you see variables that carry the geographic pieces of information, what are their names?
YOUR DESCRIPTION/ANSWER HERE:
Rubric:
Codes run for reading the data 2 pts
State correct number of observation 3 pts
State correct number of variables 3 pts
Name the variables pertaining to the geographic location 2 pts
b) (10 pts) Use the Chicago crimes data to draw a map of the city identifying the location of each reported kidnapping.
Primary.Type == “KIDNAPPING”.Write YOUR CODE in the chunk below:
crimes <- read.csv("C:/Users/dasha/Downloads/Crimes-2017.csv", header = TRUE)
dim(crimes)[1] 268221 30glimpse(crimes)Rows: 268,221
Columns: 30
$ ID <int> 11192233, 11196379, 11192540, 11192254, 111…
$ Case.Number <chr> "JB100016", "JB105867", "JB100551", "JB1000…
$ Date <chr> "12/31/2017 11:58:00 PM", "12/31/2017 11:50…
$ Block <chr> "046XX N ST LOUIS AVE", "024XX N LAKE SHORE…
$ IUCR <chr> "0630", "0460", "0890", "041A", "1320", "18…
$ Primary.Type <chr> "BURGLARY", "BATTERY", "THEFT", "BATTERY", …
$ Description <chr> "ATTEMPT FORCIBLE ENTRY", "SIMPLE", "FROM B…
$ Location.Description <chr> "APARTMENT", "MOVIE HOUSE/THEATER", "HOTEL/…
$ Arrest <chr> "false", "false", "false", "false", "false"…
$ Domestic <chr> "false", "false", "false", "true", "true", …
$ Beat <int> 1723, 1935, 1833, 522, 1235, 1633, 1712, 51…
$ District <int> 17, 19, 18, 5, 12, 16, 17, 5, 8, 18, 22, 22…
$ Ward <int> 33, 43, 42, 34, 25, 38, 39, 34, 13, 42, 21,…
$ Community.Area <int> 14, 7, 8, 53, 31, 15, 14, 49, 65, 8, 71, 73…
$ FBI.Code <chr> "05", "08B", "06", "04B", "14", "18", "14",…
$ X.Coordinate <int> 1152214, 1175293, 1177508, 1178329, 1173432…
$ Y.Coordinate <int> 1930694, 1916610, 1905401, 1828012, 1891037…
$ Year <int> 2017, 2017, 2017, 2017, 2017, 2017, 2017, 2…
$ Updated.On <chr> "05/04/2018 03:51:04 PM", "05/04/2018 03:51…
$ Latitude <dbl> 41.96569, 41.92656, 41.89575, 41.68337, 41.…
$ Longitude <dbl> -87.71573, -87.63129, -87.62350, -87.62283,…
$ Location <chr> "(41.965693651, -87.715726125)", "(41.92655…
$ Historical.Wards.2003.2015 <int> 2, 51, 22, 30, 8, 25, 28, 45, 23, 22, 18, 1…
$ Zip.Codes <int> 21849, 4449, 21182, 21861, 21194, 22618, 21…
$ Community.Areas <int> 14, 68, 37, 50, 33, 15, 14, 45, 63, 37, 70,…
$ Census.Tracts <int> 24, 101, 158, 255, 126, 231, 120, 524, 317,…
$ Wards <int> 20, 34, 11, 43, 26, 19, 12, 22, 15, 36, 13,…
$ Boundaries...ZIP.Codes <int> 20, 16, 6, 19, 40, 21, 20, 19, 58, 55, 59, …
$ Police.Districts <int> 1, 5, 14, 10, 15, 12, 1, 10, 13, 14, 9, 9, …
$ Police.Beats <int> 9, 178, 71, 219, 158, 26, 48, 260, 209, 73,… #There are 268221 observations and 30 variables.
#X.Coordinate
#Y.Coordinate
#Longitude
#Latitude
#Location
crimes %>% filter(Primary.Type == "KIDNAPPING") %>% leaflet() %>% addTiles() %>% addMarkers()Assuming "Longitude" and "Latitude" are longitude and latitude, respectivelycrimes %>% filter(Primary.Type == "KIDNAPPING") ID Case.Number Date
1 11191817 JA568856 12/31/2017 10:00:00 AM
2 11187306 JA562217 12/24/2017 08:30:00 PM
3 11185493 JA559802 12/22/2017 06:00:00 PM
4 11186099 JA560677 12/22/2017 05:30:00 PM
5 11179753 JA552013 12/16/2017 07:50:00 PM
6 11179252 JA551320 12/14/2017 11:00:00 PM
7 11177769 JA549299 12/14/2017 04:20:00 PM
8 11176273 JA547192 12/13/2017 07:15:00 AM
9 11175971 JA546617 12/12/2017 03:15:00 PM
10 11175439 JA546070 12/11/2017 03:50:00 PM
11 11177029 JA548121 12/10/2017 05:00:00 PM
12 11169391 JA538057 12/05/2017 04:00:00 PM
13 11168141 JA536324 12/04/2017 02:15:00 PM
14 11171967 JA541214 12/04/2017 08:20:00 AM
15 11181234 JA553899 12/03/2017 12:00:00 AM
16 11166306 JA533953 12/02/2017 04:00:00 PM
17 11165100 JA532201 11/29/2017 06:00:00 PM
18 11164950 JA532129 11/29/2017 05:00:00 PM
19 11161305 JA527345 11/27/2017 04:49:00 PM
20 11160838 JA526847 11/27/2017 06:50:00 AM
21 11159817 JA525745 11/26/2017 12:00:00 PM
22 11154311 JA517956 11/19/2017 12:00:00 PM
23 11152483 JA515997 11/17/2017 04:48:00 PM
24 11152454 JA515935 11/17/2017 04:30:00 PM
25 11151819 JA515006 11/17/2017 07:40:00 AM
26 11151256 JA514372 11/16/2017 04:20:00 PM
27 11151331 JA514406 11/16/2017 03:00:00 PM
28 11151952 JA515061 11/16/2017 02:50:00 PM
29 11151074 JA514011 11/16/2017 08:30:00 AM
30 11147094 JA508981 11/12/2017 12:05:00 PM
31 11144848 JA505561 11/08/2017 03:30:00 PM
32 11143396 JA503577 11/07/2017 03:25:00 PM
33 11134446 JA492179 10/30/2017 03:15:00 PM
34 11134333 JA491707 10/30/2017 11:15:00 AM
35 11132545 JA489625 10/28/2017 02:00:00 PM
36 11124957 JA479660 10/21/2017 02:49:00 AM
37 11122309 JA476256 10/17/2017 07:39:00 PM
38 11121309 JA474768 10/17/2017 02:30:00 PM
39 11118991 JA471904 10/15/2017 10:00:00 AM
40 11116436 JA468476 10/12/2017 07:00:00 AM
41 11112391 JA463123 10/08/2017 10:00:00 AM
42 11105590 JA454487 10/01/2017 07:59:00 PM
43 11105604 JA454497 10/01/2017 07:40:00 PM
44 11102318 JA450208 09/28/2017 01:20:00 PM
45 11098373 JA445158 09/24/2017 06:00:00 PM
46 11097474 JA444069 09/23/2017 09:50:00 PM
47 11097018 JA443261 09/23/2017 10:00:00 AM
48 11097154 JA443672 09/22/2017 02:00:00 AM
49 11094290 JA439700 09/20/2017 07:07:00 AM
50 11093383 JA438790 09/20/2017 06:50:00 AM
51 11093578 JA438962 09/17/2017 09:00:00 AM
52 11088245 JA432141 09/15/2017 07:20:00 AM
53 11086760 JA430052 09/13/2017 03:00:00 PM
54 11085744 JA428880 09/12/2017 07:00:00 PM
55 11083604 JA426530 09/10/2017 11:00:00 PM
56 11083215 JA425760 09/10/2017 09:55:00 AM
57 11081984 JA424106 09/08/2017 07:00:00 PM
58 11082022 JA423202 09/08/2017 09:24:00 AM
59 11081334 JA423419 09/08/2017 08:10:00 AM
60 11080583 JA422763 09/07/2017 04:30:00 PM
61 11080404 JA422538 09/07/2017 04:25:00 PM
62 11076504 JA417552 09/03/2017 05:41:00 PM
63 11080038 JA421858 09/03/2017 05:00:00 PM
64 11076159 JA417122 09/03/2017 11:30:00 AM
65 11078954 JA420798 09/02/2017 06:53:00 PM
66 11072177 JA411969 08/29/2017 04:45:00 PM
67 11078464 JA420057 08/29/2017 09:30:00 AM
68 11069196 JA408253 08/25/2017 06:00:00 PM
69 11067505 JA406091 08/25/2017 05:50:00 PM
70 11066375 JA404857 08/24/2017 07:05:00 PM
71 11064800 JA403192 08/23/2017 03:28:00 PM
72 11063245 JA401153 08/20/2017 10:30:00 PM
73 11060364 JA396755 08/18/2017 04:30:00 PM
74 11053424 JA390032 08/13/2017 07:00:00 PM
75 11052640 JA388999 08/13/2017 02:00:00 AM
76 11055934 JA388950 08/13/2017 12:20:00 AM
77 11048645 JA384059 08/09/2017 01:25:00 PM
78 11054078 JA390210 08/05/2017 12:30:00 PM
79 11039837 JA371700 07/31/2017 06:30:00 PM
80 11039638 JA374006 07/30/2017 06:00:00 PM
81 11036887 JA369673 07/29/2017 09:30:00 PM
82 11032907 JA365692 07/27/2017 12:30:00 PM
83 11054016 JA390548 07/26/2017 12:00:00 AM
84 11033255 JA366174 07/25/2017 02:00:00 AM
85 11036336 JA369958 07/24/2017 07:00:00 PM
86 11030475 JA362734 07/24/2017 12:00:00 PM
87 11023860 JA354300 07/19/2017 09:40:00 AM
88 11022837 JA353813 07/18/2017 07:45:00 PM
89 11022123 JA352906 07/18/2017 10:31:00 AM
90 11022025 JA352895 07/18/2017 09:00:00 AM
91 11019933 JA350647 07/16/2017 06:00:00 PM
92 11021251 JA352158 07/16/2017 04:45:00 PM
93 11018968 JA349422 07/15/2017 03:00:00 PM
94 11018453 JA348650 07/15/2017 04:30:00 AM
95 11015598 JA345513 07/12/2017 07:10:00 PM
96 11010361 JA339621 07/07/2017 02:00:00 AM
97 11015845 JA337743 07/06/2017 09:00:00 PM
98 11005848 JA334408 07/04/2017 07:30:00 PM
99 11006095 JA334314 07/04/2017 05:00:00 PM
100 11002622 JA330418 07/01/2017 03:31:00 PM
101 11004659 JA333150 07/01/2017 06:00:00 AM
102 10999458 JA326760 06/28/2017 05:55:00 PM
103 11006892 JA335473 06/26/2017 06:00:00 PM
104 10994443 JA321756 06/25/2017 09:22:00 AM
105 11039715 JA373808 06/24/2017 02:30:00 AM
106 10993052 JA319877 06/23/2017 02:00:00 PM
107 10990703 JA317463 06/22/2017 02:25:00 AM
108 10984380 JA309928 06/16/2017 04:40:00 PM
109 10984334 JA309785 06/16/2017 03:20:00 PM
110 10986081 JA310713 06/16/2017 08:00:00 AM
111 10981943 JA307276 06/12/2017 03:00:00 PM
112 10976534 JA301389 06/10/2017 08:30:00 PM
113 10974245 JA298380 06/08/2017 06:00:00 PM
114 10972829 JA296617 06/07/2017 12:56:00 PM
115 10971735 JA295698 06/06/2017 08:05:00 PM
116 10970236 JA294119 06/05/2017 05:30:00 PM
117 10965557 JA288172 06/01/2017 02:45:00 PM
118 10963194 JA285907 05/30/2017 07:00:00 PM
119 10962696 JA285363 05/30/2017 09:28:00 AM
120 10962831 JA285503 05/29/2017 12:30:00 PM
121 10958582 JA279807 05/26/2017 08:00:00 AM
122 11043366 JA376940 05/23/2017 09:00:00 PM
123 10954442 JA274691 05/22/2017 03:10:00 PM
124 10953817 JA274124 05/22/2017 07:35:00 AM
125 10952948 JA272310 05/20/2017 06:50:00 PM
126 10950619 JA269911 05/18/2017 09:02:00 PM
127 10950276 JA269838 05/18/2017 08:54:00 PM
128 10947877 JA267176 05/17/2017 08:30:00 AM
129 10944086 JA262778 05/13/2017 09:50:00 PM
130 10960581 JA282544 05/13/2017 03:23:00 AM
131 10939288 JA256694 05/05/2017 03:00:00 PM
132 10935366 JA251404 05/05/2017 09:00:00 AM
133 10934913 JA251186 05/05/2017 12:15:00 AM
134 10934306 JA250323 05/04/2017 07:30:00 AM
135 10933147 JA249142 05/03/2017 09:45:00 AM
136 10931080 JA246101 05/01/2017 09:20:00 AM
137 10926047 JA240291 04/26/2017 09:00:00 AM
138 10922116 JA236144 04/23/2017 03:35:00 PM
139 10920608 JA233998 04/21/2017 06:30:00 PM
140 10920094 JA233201 04/21/2017 08:45:00 AM
141 10919917 JA233208 04/21/2017 07:25:00 AM
142 10919107 JA232256 04/20/2017 01:30:00 PM
143 10917872 JA231168 04/19/2017 04:00:00 PM
144 10913683 JA226994 04/16/2017 10:00:00 AM
145 10913684 JA227023 04/16/2017 10:00:00 AM
146 10919659 JA225602 04/14/2017 05:00:00 PM
147 10909159 JA220852 04/11/2017 01:15:00 PM
148 10906230 JA218796 04/09/2017 05:00:00 PM
149 10903192 JA214893 04/06/2017 02:00:00 PM
150 10901179 JA212918 04/04/2017 09:45:00 PM
151 10898689 JA210389 04/02/2017 06:30:00 PM
152 10896804 JA207746 03/31/2017 03:15:00 PM
153 10896143 JA207016 03/31/2017 07:50:00 AM
154 10895416 JA205803 03/30/2017 09:15:00 AM
155 10896201 JA203355 03/28/2017 07:40:00 AM
156 10893087 JA203667 03/28/2017 07:30:00 AM
157 10889972 JA200503 03/25/2017 12:00:00 PM
158 10889371 JA199613 03/25/2017 12:01:00 AM
159 10916257 JA229783 03/23/2017 02:00:00 PM
160 10887345 JA197097 03/23/2017 07:50:00 AM
161 10893212 JA203741 03/22/2017 03:00:00 PM
162 10888307 JA197343 03/22/2017 01:48:00 PM
163 10892151 JA202891 03/21/2017 03:30:00 PM
164 10888187 JA198146 03/19/2017 03:30:00 PM
165 10882526 JA192175 03/18/2017 06:00:00 PM
166 10882011 JA191518 03/18/2017 12:39:00 PM
167 10876731 JA184575 03/12/2017 02:15:00 PM
168 10874976 JA183196 03/09/2017 10:00:00 AM
169 10871680 JA179379 03/08/2017 10:00:00 AM
170 10865414 JA171752 02/28/2017 04:00:00 PM
171 10863952 JA170026 02/28/2017 12:30:00 PM
172 10861536 JA167676 02/26/2017 11:00:00 AM
173 10855626 JA160868 02/20/2017 02:10:00 PM
174 10852742 JA157076 02/17/2017 11:20:00 AM
175 10853867 JA156319 02/16/2017 04:00:00 PM
176 10850741 JA154560 02/15/2017 08:45:00 AM
177 10849060 JA153226 02/14/2017 10:00:00 AM
178 10847486 JA151327 02/11/2017 04:30:00 PM
179 10844172 JA147158 02/09/2017 08:17:00 AM
180 10842361 JA145410 02/07/2017 02:39:00 PM
181 10840856 JA144134 02/06/2017 06:00:00 PM
182 10844998 JA147363 02/02/2017 12:00:00 PM
183 10834515 JA136380 01/30/2017 07:00:00 PM
184 10832634 JA134344 01/29/2017 03:00:00 PM
185 10834347 JA135537 01/25/2017 03:00:00 PM
186 10809318 JA108652 01/06/2017 08:00:00 PM
187 10813045 JA111784 01/06/2017 07:00:00 PM
188 10809202 JA108392 01/06/2017 01:00:00 PM
189 10808481 JA107454 01/02/2017 02:40:00 PM
190 10801512 JA100509 01/01/2017 10:00:00 AM
Block IUCR Primary.Type
1 092XX S WENTWORTH AVE 4255 KIDNAPPING
2 005XX W EUGENIE ST 4255 KIDNAPPING
3 050XX S KEELER AVE 4255 KIDNAPPING
4 001XX E JACKSON DR 4255 KIDNAPPING
5 095XX S YALE AVE 4220 KIDNAPPING
6 076XX S HALSTED ST 4230 KIDNAPPING
7 016XX E 71ST ST 1792 KIDNAPPING
8 012XX S ASHLAND AVE 1792 KIDNAPPING
9 119XX S NORMAL AVE 1792 KIDNAPPING
10 003XX N WHIPPLE ST 1792 KIDNAPPING
11 063XX S WOODLAWN AVE 4210 KIDNAPPING
12 036XX W 116TH PL 4255 KIDNAPPING
13 052XX N RUTHERFORD AVE 1792 KIDNAPPING
14 073XX S MORGAN ST 1792 KIDNAPPING
15 057XX S EMERALD AVE 4230 KIDNAPPING
16 071XX N HARLEM AVE 1792 KIDNAPPING
17 052XX W FERDINAND ST 4230 KIDNAPPING
18 009XX N LAWNDALE AVE 4255 KIDNAPPING
19 052XX S WINCHESTER AVE 1792 KIDNAPPING
20 010XX W MONTROSE AVE 1792 KIDNAPPING
21 101XX S AVENUE L 4255 KIDNAPPING
22 034XX S COTTAGE GROVE AVE 4255 KIDNAPPING
23 037XX W 83RD ST 4230 KIDNAPPING
24 053XX S PRAIRIE AVE 1792 KIDNAPPING
25 063XX S HALSTED ST 1792 KIDNAPPING
26 006XX W GARFIELD BLVD 1792 KIDNAPPING
27 030XX W 39TH PL 1792 KIDNAPPING
28 030XX N LAMON AVE 4230 KIDNAPPING
29 008XX W 103RD ST 4230 KIDNAPPING
30 057XX S MICHIGAN AVE 4230 KIDNAPPING
31 021XX W GRANVILLE AVE 1792 KIDNAPPING
32 007XX E 103RD ST 1792 KIDNAPPING
33 047XX W MARQUETTE RD 1792 KIDNAPPING
34 052XX W AUGUSTA BLVD 1792 KIDNAPPING
35 069XX S MERRILL AVE 1792 KIDNAPPING
36 002XX E ERIE ST 4230 KIDNAPPING
37 016XX S KEELER AVE 1792 KIDNAPPING
38 056XX S ROCKWELL ST 1792 KIDNAPPING
39 004XX W 95TH ST 4255 KIDNAPPING
40 055XX S STATE ST 1792 KIDNAPPING
41 017XX E 79TH ST 4255 KIDNAPPING
42 010XX W 18TH ST 4210 KIDNAPPING
43 002XX W 19TH ST 4230 KIDNAPPING
44 056XX W EISENHOWER EXPY IB 4230 KIDNAPPING
45 066XX S WENTWORTH AVE 4255 KIDNAPPING
46 026XX W PETERSON AVE 4230 KIDNAPPING
47 113XX S AVENUE J 4255 KIDNAPPING
48 048XX W WELLINGTON AVE 4240 KIDNAPPING
49 065XX S MINERVA AVE 1792 KIDNAPPING
50 037XX W ARGYLE ST 1792 KIDNAPPING
51 034XX W 38TH PL 4230 KIDNAPPING
52 067XX S PULASKI RD 1792 KIDNAPPING
53 006XX S MICHIGAN AVE 4210 KIDNAPPING
54 007XX E 111TH ST 4255 KIDNAPPING
55 056XX W GRAND AVE 4210 KIDNAPPING
56 043XX W FORD CITY DR 4230 KIDNAPPING
57 013XX N WESTERN AVE 4255 KIDNAPPING
58 038XX S GILES AVE 4230 KIDNAPPING
59 055XX S HALSTED ST 1792 KIDNAPPING
60 048XX W ADDISON ST 1792 KIDNAPPING
61 070XX W HAYES AVE 1792 KIDNAPPING
62 052XX N HARLEM AVE 4255 KIDNAPPING
63 043XX S ROCKWELL ST 4255 KIDNAPPING
64 063XX N ARTESIAN AVE 4230 KIDNAPPING
65 064XX S DR MARTIN LUTHER KING JR DR 4210 KIDNAPPING
66 005XX N LAWNDALE AVE 1792 KIDNAPPING
67 0000X W WASHINGTON ST 4255 KIDNAPPING
68 086XX W SUMMERDALE AVE 1792 KIDNAPPING
69 096XX S HALSTED ST 4255 KIDNAPPING
70 105XX S COTTAGE GROVE AVE 1792 KIDNAPPING
71 043XX W VAN BUREN ST 4230 KIDNAPPING
72 069XX S CALUMET AVE 4230 KIDNAPPING
73 107XX S TROY ST 4255 KIDNAPPING
74 073XX N PAULINA ST 4230 KIDNAPPING
75 053XX S LOCKWOOD AVE 4230 KIDNAPPING
76 056XX S ASHLAND AVE 4210 KIDNAPPING
77 051XX N WESTERN AVE 4230 KIDNAPPING
78 077XX S MORGAN ST 4255 KIDNAPPING
79 100XX W OHARE ST 1792 KIDNAPPING
80 032XX W 51ST ST 4255 KIDNAPPING
81 0000X N WABASH AVE 4210 KIDNAPPING
82 028XX S RIDGEWAY AVE 1792 KIDNAPPING
83 032XX W MADISON ST 4255 KIDNAPPING
84 026XX W 12TH PL 4230 KIDNAPPING
85 014XX W 119TH ST 4255 KIDNAPPING
86 039XX W POLK ST 4230 KIDNAPPING
87 021XX W 59TH ST 1792 KIDNAPPING
88 006XX W 24TH PL 1792 KIDNAPPING
89 006XX N CICERO AVE 4255 KIDNAPPING
90 051XX N MC VICKER AVE 4255 KIDNAPPING
91 026XX N MC VICKER AVE 4255 KIDNAPPING
92 018XX N ORCHARD ST 1792 KIDNAPPING
93 049XX W CORNELIA AVE 4255 KIDNAPPING
94 081XX S STONY ISLAND AVE 4210 KIDNAPPING
95 013XX W FULLERTON AVE 1792 KIDNAPPING
96 048XX W BELMONT AVE 4210 KIDNAPPING
97 083XX S MARYLAND AVE 4230 KIDNAPPING
98 016XX N LAKE SHORE DR 4230 KIDNAPPING
99 101XX S ST LAWRENCE AVE 4230 KIDNAPPING
100 076XX S COLFAX AVE 4255 KIDNAPPING
101 048XX W ARGYLE ST 4210 KIDNAPPING
102 042XX W 16TH ST 4255 KIDNAPPING
103 002XX W 106TH PL 4255 KIDNAPPING
104 075XX S COLFAX AVE 4255 KIDNAPPING
105 040XX S RICHMOND ST 4210 KIDNAPPING
106 046XX W ADAMS ST 4220 KIDNAPPING
107 006XX W 31ST ST 4210 KIDNAPPING
108 011XX S HAMILTON AVE 4230 KIDNAPPING
109 066XX N DAMEN AVE 1792 KIDNAPPING
110 080XX S LANGLEY AVE 4255 KIDNAPPING
111 017XX W 73RD ST 1792 KIDNAPPING
112 028XX W 111TH ST 1792 KIDNAPPING
113 056XX N CHRISTIANA AVE 1792 KIDNAPPING
114 020XX N DAMEN AVE 1792 KIDNAPPING
115 082XX S COTTAGE GROVE AVE 1792 KIDNAPPING
116 042XX N CICERO AVE 1792 KIDNAPPING
117 083XX S COMMERCIAL AVE 4210 KIDNAPPING
118 012XX S HOMAN AVE 1792 KIDNAPPING
119 005XX N LAWNDALE AVE 4230 KIDNAPPING
120 003XX W 109TH PL 4230 KIDNAPPING
121 041XX N RICHMOND ST 1792 KIDNAPPING
122 077XX S YATES BLVD 4230 KIDNAPPING
123 025XX W 59TH ST 1792 KIDNAPPING
124 040XX W JACKSON BLVD 1792 KIDNAPPING
125 068XX W HIGHLAND AVE 4230 KIDNAPPING
126 048XX S ELLIS AVE 1792 KIDNAPPING
127 018XX W GARFIELD BLVD 4220 KIDNAPPING
128 076XX S EXCHANGE AVE 1792 KIDNAPPING
129 007XX N LONG AVE 1792 KIDNAPPING
130 096XX S GREEN ST 4230 KIDNAPPING
131 114XX S STEWART AVE 4255 KIDNAPPING
132 009XX N LARRABEE ST 4210 KIDNAPPING
133 099XX S PAXTON AVE 4210 KIDNAPPING
134 004XX N CICERO AVE 1792 KIDNAPPING
135 102XX S INDIANA AVE 1792 KIDNAPPING
136 063XX S UNIVERSITY AVE 1792 KIDNAPPING
137 132XX S BURLEY AVE 4220 KIDNAPPING
138 053XX W JACKSON BLVD 1792 KIDNAPPING
139 010XX W 75TH ST 1792 KIDNAPPING
140 037XX N ODELL AVE 4230 KIDNAPPING
141 051XX N DAMEN AVE 4210 KIDNAPPING
142 048XX W SHAKESPEARE AVE 1792 KIDNAPPING
143 092XX S ELIZABETH ST 1792 KIDNAPPING
144 100XX S CRANDON AVE 4255 KIDNAPPING
145 130XX S BALTIMORE AVE 4255 KIDNAPPING
146 007XX W SCOTT ST 4230 KIDNAPPING
147 088XX S JEFFERY BLVD 4255 KIDNAPPING
148 089XX S MUSKEGON AVE 1792 KIDNAPPING
149 031XX N MASON AVE 4255 KIDNAPPING
150 055XX W GLADYS AVE 4230 KIDNAPPING
151 060XX S HARPER AVE 4255 KIDNAPPING
152 011XX E 46TH ST 4255 KIDNAPPING
153 051XX W PALMER ST 1792 KIDNAPPING
154 040XX W 68TH ST 4230 KIDNAPPING
155 124XX S STEWART AVE 1792 KIDNAPPING
156 009XX W WRIGHTWOOD AVE 1792 KIDNAPPING
157 078XX S MAY ST 4240 KIDNAPPING
158 091XX S HALSTED ST 4210 KIDNAPPING
159 060XX S CALUMET AVE 1792 KIDNAPPING
160 075XX N ASHLAND AVE 1792 KIDNAPPING
161 034XX N LOWELL AVE 1792 KIDNAPPING
162 085XX S BURLEY AVE 4230 KIDNAPPING
163 047XX S KOSTNER AVE 1792 KIDNAPPING
164 007XX W 26TH ST 1792 KIDNAPPING
165 043XX W 76TH ST 4220 KIDNAPPING
166 060XX S TALMAN AVE 1792 KIDNAPPING
167 031XX W MEDILL AVE 4230 KIDNAPPING
168 107XX S TORRENCE AVE 4255 KIDNAPPING
169 079XX S ESSEX AVE 4255 KIDNAPPING
170 110XX S VINCENNES AVE 4255 KIDNAPPING
171 002XX W EVERGREEN AVE 1792 KIDNAPPING
172 100XX S OAKLEY AVE 4255 KIDNAPPING
173 0000X N KILBOURN AVE 1792 KIDNAPPING
174 052XX S SAWYER AVE 1792 KIDNAPPING
175 067XX W HURLBUT ST 1792 KIDNAPPING
176 109XX S EBERHART AVE 1792 KIDNAPPING
177 035XX W 116TH PL 4255 KIDNAPPING
178 010XX N KARLOV AVE 4255 KIDNAPPING
179 114XX S MICHIGAN AVE 1792 KIDNAPPING
180 014XX W 77TH ST 4220 KIDNAPPING
181 042XX W MADISON ST 4210 KIDNAPPING
182 069XX S STEWART AVE 4210 KIDNAPPING
183 015XX W FULLERTON AVE 1792 KIDNAPPING
184 048XX S SPRINGFIELD AVE 4255 KIDNAPPING
185 042XX S BERKELEY AVE 1792 KIDNAPPING
186 003XX W 64TH ST 4255 KIDNAPPING
187 013XX W 76TH ST 4220 KIDNAPPING
188 035XX W FLOURNOY ST 4210 KIDNAPPING
189 046XX W MAYPOLE AVE 4240 KIDNAPPING
190 130XX S BALTIMORE AVE 4255 KIDNAPPING
Description Location.Description
1 UNLAWFUL INTERFERE/VISITATION RESIDENCE
2 UNLAWFUL INTERFERE/VISITATION RESIDENCE
3 UNLAWFUL INTERFERE/VISITATION RESIDENCE
4 UNLAWFUL INTERFERE/VISITATION STREET
5 AGGRAVATED RESIDENCE
6 UNLAWFUL RESTRAINT APARTMENT
7 CHILD ABDUCTION/STRANGER SIDEWALK
8 CHILD ABDUCTION/STRANGER SIDEWALK
9 CHILD ABDUCTION/STRANGER STREET
10 CHILD ABDUCTION/STRANGER STREET
11 KIDNAPPING OTHER
12 UNLAWFUL INTERFERE/VISITATION RESIDENCE
13 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
14 CHILD ABDUCTION/STRANGER SIDEWALK
15 UNLAWFUL RESTRAINT RESIDENCE
16 CHILD ABDUCTION/STRANGER SIDEWALK
17 UNLAWFUL RESTRAINT RESIDENCE
18 UNLAWFUL INTERFERE/VISITATION RESIDENCE
19 CHILD ABDUCTION/STRANGER SIDEWALK
20 CHILD ABDUCTION/STRANGER SIDEWALK
21 UNLAWFUL INTERFERE/VISITATION RESIDENCE
22 UNLAWFUL INTERFERE/VISITATION RESIDENCE PORCH/HALLWAY
23 UNLAWFUL RESTRAINT RESIDENCE
24 CHILD ABDUCTION/STRANGER STREET
25 CHILD ABDUCTION/STRANGER STREET
26 CHILD ABDUCTION/STRANGER CTA BUS STOP
27 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
28 UNLAWFUL RESTRAINT SCHOOL, PUBLIC, GROUNDS
29 UNLAWFUL RESTRAINT NURSING HOME/RETIREMENT HOME
30 UNLAWFUL RESTRAINT STREET
31 CHILD ABDUCTION/STRANGER SIDEWALK
32 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
33 CHILD ABDUCTION/STRANGER STREET
34 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
35 CHILD ABDUCTION/STRANGER STREET
36 UNLAWFUL RESTRAINT TAXICAB
37 CHILD ABDUCTION/STRANGER SIDEWALK
38 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
39 UNLAWFUL INTERFERE/VISITATION STREET
40 CHILD ABDUCTION/STRANGER STREET
41 UNLAWFUL INTERFERE/VISITATION RESIDENCE
42 KIDNAPPING SIDEWALK
43 UNLAWFUL RESTRAINT SIDEWALK
44 UNLAWFUL RESTRAINT CTA TRAIN
45 UNLAWFUL INTERFERE/VISITATION GAS STATION
46 UNLAWFUL RESTRAINT VEHICLE NON-COMMERCIAL
47 UNLAWFUL INTERFERE/VISITATION RESIDENCE
48 FORCIBLE DETENTION STREET
49 CHILD ABDUCTION/STRANGER STREET
50 CHILD ABDUCTION/STRANGER STREET
51 UNLAWFUL RESTRAINT RESIDENCE
52 CHILD ABDUCTION/STRANGER STREET
53 KIDNAPPING SIDEWALK
54 UNLAWFUL INTERFERE/VISITATION POLICE FACILITY/VEH PARKING LOT
55 KIDNAPPING RESIDENCE
56 UNLAWFUL RESTRAINT RESIDENTIAL YARD (FRONT/BACK)
57 UNLAWFUL INTERFERE/VISITATION APARTMENT
58 UNLAWFUL RESTRAINT RESIDENCE
59 CHILD ABDUCTION/STRANGER STREET
60 CHILD ABDUCTION/STRANGER CTA BUS STOP
61 CHILD ABDUCTION/STRANGER SIDEWALK
62 UNLAWFUL INTERFERE/VISITATION PARKING LOT/GARAGE(NON.RESID.)
63 UNLAWFUL INTERFERE/VISITATION RESIDENCE
64 UNLAWFUL RESTRAINT APARTMENT
65 KIDNAPPING STREET
66 CHILD ABDUCTION/STRANGER STREET
67 UNLAWFUL INTERFERE/VISITATION GOVERNMENT BUILDING/PROPERTY
68 CHILD ABDUCTION/STRANGER SIDEWALK
69 UNLAWFUL INTERFERE/VISITATION DAY CARE CENTER
70 CHILD ABDUCTION/STRANGER STREET
71 UNLAWFUL RESTRAINT RESIDENCE
72 UNLAWFUL RESTRAINT OTHER
73 UNLAWFUL INTERFERE/VISITATION RESIDENCE
74 UNLAWFUL RESTRAINT APARTMENT
75 UNLAWFUL RESTRAINT RESIDENCE
76 KIDNAPPING STREET
77 UNLAWFUL RESTRAINT SMALL RETAIL STORE
78 UNLAWFUL INTERFERE/VISITATION RESIDENCE
79 CHILD ABDUCTION/STRANGER AIRPORT TERMINAL LOWER LEVEL - SECURE AREA
80 UNLAWFUL INTERFERE/VISITATION OTHER
81 KIDNAPPING VEHICLE NON-COMMERCIAL
82 CHILD ABDUCTION/STRANGER STREET
83 UNLAWFUL INTERFERE/VISITATION OTHER
84 UNLAWFUL RESTRAINT OTHER
85 UNLAWFUL INTERFERE/VISITATION RESIDENCE
86 UNLAWFUL RESTRAINT RESIDENCE
87 CHILD ABDUCTION/STRANGER STREET
88 CHILD ABDUCTION/STRANGER STREET
89 UNLAWFUL INTERFERE/VISITATION APARTMENT
90 UNLAWFUL INTERFERE/VISITATION RESIDENCE
91 UNLAWFUL INTERFERE/VISITATION RESIDENCE
92 CHILD ABDUCTION/STRANGER SIDEWALK
93 UNLAWFUL INTERFERE/VISITATION RESIDENCE
94 KIDNAPPING HOTEL/MOTEL
95 CHILD ABDUCTION/STRANGER STREET
96 KIDNAPPING ALLEY
97 UNLAWFUL RESTRAINT APARTMENT
98 UNLAWFUL RESTRAINT VEHICLE-COMMERCIAL
99 UNLAWFUL RESTRAINT STREET
100 UNLAWFUL INTERFERE/VISITATION RESIDENCE
101 KIDNAPPING RESIDENCE-GARAGE
102 UNLAWFUL INTERFERE/VISITATION DAY CARE CENTER
103 UNLAWFUL INTERFERE/VISITATION DAY CARE CENTER
104 UNLAWFUL INTERFERE/VISITATION APARTMENT
105 KIDNAPPING RESIDENCE
106 AGGRAVATED RESIDENCE
107 KIDNAPPING SIDEWALK
108 UNLAWFUL RESTRAINT VEHICLE NON-COMMERCIAL
109 CHILD ABDUCTION/STRANGER STREET
110 UNLAWFUL INTERFERE/VISITATION APARTMENT
111 CHILD ABDUCTION/STRANGER PARK PROPERTY
112 CHILD ABDUCTION/STRANGER STREET
113 CHILD ABDUCTION/STRANGER STREET
114 CHILD ABDUCTION/STRANGER STREET
115 CHILD ABDUCTION/STRANGER STREET
116 CHILD ABDUCTION/STRANGER SIDEWALK
117 KIDNAPPING SCHOOL, PUBLIC, GROUNDS
118 CHILD ABDUCTION/STRANGER STREET
119 UNLAWFUL RESTRAINT STREET
120 UNLAWFUL RESTRAINT STREET
121 CHILD ABDUCTION/STRANGER SIDEWALK
122 UNLAWFUL RESTRAINT APARTMENT
123 CHILD ABDUCTION/STRANGER SIDEWALK
124 CHILD ABDUCTION/STRANGER SIDEWALK
125 UNLAWFUL RESTRAINT STREET
126 CHILD ABDUCTION/STRANGER SIDEWALK
127 AGGRAVATED RESIDENCE
128 CHILD ABDUCTION/STRANGER SIDEWALK
129 CHILD ABDUCTION/STRANGER SIDEWALK
130 UNLAWFUL RESTRAINT RESIDENCE
131 UNLAWFUL INTERFERE/VISITATION RESIDENCE
132 KIDNAPPING STREET
133 KIDNAPPING STREET
134 CHILD ABDUCTION/STRANGER SIDEWALK
135 CHILD ABDUCTION/STRANGER SIDEWALK
136 CHILD ABDUCTION/STRANGER SIDEWALK
137 AGGRAVATED VEHICLE NON-COMMERCIAL
138 CHILD ABDUCTION/STRANGER SIDEWALK
139 CHILD ABDUCTION/STRANGER SIDEWALK
140 UNLAWFUL RESTRAINT RESIDENCE
141 KIDNAPPING SIDEWALK
142 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
143 CHILD ABDUCTION/STRANGER STREET
144 UNLAWFUL INTERFERE/VISITATION RESIDENCE
145 UNLAWFUL INTERFERE/VISITATION RESIDENCE
146 UNLAWFUL RESTRAINT APARTMENT
147 UNLAWFUL INTERFERE/VISITATION RESIDENCE
148 CHILD ABDUCTION/STRANGER PARK PROPERTY
149 UNLAWFUL INTERFERE/VISITATION SCHOOL, PRIVATE, BUILDING
150 UNLAWFUL RESTRAINT STREET
151 UNLAWFUL INTERFERE/VISITATION RESIDENCE
152 UNLAWFUL INTERFERE/VISITATION SCHOOL, PUBLIC, BUILDING
153 CHILD ABDUCTION/STRANGER STREET
154 UNLAWFUL RESTRAINT STREET
155 CHILD ABDUCTION/STRANGER ALLEY
156 CHILD ABDUCTION/STRANGER SIDEWALK
157 FORCIBLE DETENTION RESIDENCE
158 KIDNAPPING STREET
159 CHILD ABDUCTION/STRANGER RESIDENCE
160 CHILD ABDUCTION/STRANGER STREET
161 CHILD ABDUCTION/STRANGER SIDEWALK
162 UNLAWFUL RESTRAINT VEHICLE NON-COMMERCIAL
163 CHILD ABDUCTION/STRANGER SIDEWALK
164 CHILD ABDUCTION/STRANGER APARTMENT
165 AGGRAVATED APARTMENT
166 CHILD ABDUCTION/STRANGER STREET
167 UNLAWFUL RESTRAINT VEHICLE NON-COMMERCIAL
168 UNLAWFUL INTERFERE/VISITATION RESIDENCE
169 UNLAWFUL INTERFERE/VISITATION APARTMENT
170 UNLAWFUL INTERFERE/VISITATION DAY CARE CENTER
171 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
172 UNLAWFUL INTERFERE/VISITATION RESIDENCE
173 CHILD ABDUCTION/STRANGER GAS STATION
174 CHILD ABDUCTION/STRANGER SCHOOL, PUBLIC, GROUNDS
175 CHILD ABDUCTION/STRANGER STREET
176 CHILD ABDUCTION/STRANGER SIDEWALK
177 UNLAWFUL INTERFERE/VISITATION RESIDENCE
178 UNLAWFUL INTERFERE/VISITATION RESIDENCE
179 CHILD ABDUCTION/STRANGER PARKING LOT/GARAGE(NON.RESID.)
180 AGGRAVATED APARTMENT
181 KIDNAPPING ALLEY
182 KIDNAPPING SCHOOL, PUBLIC, BUILDING
183 CHILD ABDUCTION/STRANGER PARKING LOT/GARAGE(NON.RESID.)
184 UNLAWFUL INTERFERE/VISITATION SIDEWALK
185 CHILD ABDUCTION/STRANGER STREET
186 UNLAWFUL INTERFERE/VISITATION HOSPITAL BUILDING/GROUNDS
187 AGGRAVATED RESIDENCE
188 KIDNAPPING RESIDENCE
189 FORCIBLE DETENTION OTHER
190 UNLAWFUL INTERFERE/VISITATION RESIDENCE
Arrest Domestic Beat District Ward Community.Area FBI.Code X.Coordinate
1 false true 634 6 21 49 26 1176570
2 false true 1813 18 43 7 26 1172414
3 false false 815 8 23 57 26 1149214
4 false true 114 1 42 32 26 1177602
5 false false 511 5 21 49 26 1176294
6 false false 621 6 17 71 26 1172288
7 false false 324 3 8 43 20 1188593
8 false false 1233 12 2 28 20 1165924
9 false false 524 5 34 53 20 1175112
10 false false 1222 12 27 27 20 1155946
11 false false 314 3 20 42 26 1185302
12 false true 2211 22 19 74 26 1154208
13 false false 1613 16 41 10 20 1130594
14 false false 733 7 17 68 20 1170912
15 false false 711 7 20 68 26 1172284
16 false false 1611 16 41 9 20 1127387
17 false false 1523 15 28 25 26 1141315
18 false true 1112 11 27 23 26 1151544
19 true false 932 9 16 61 20 1164239
20 false false 1915 19 46 3 20 1168522
21 false true 432 4 10 52 26 1201820
22 false false 211 2 4 35 26 1181143
23 false false 834 8 18 70 26 1152813
24 false false 231 2 3 40 20 1178945
25 false false 723 7 20 68 20 1172055
26 false false 935 9 3 61 20 1172961
27 false false 921 9 14 58 20 1156780
28 false false 2521 25 31 19 26 1143180
29 false false 2232 22 34 73 26 1172339
30 false false 232 2 20 40 26 1178135
31 false false 2413 24 40 2 20 1161118
32 false false 511 5 8 50 20 1183035
33 false false 833 8 13 65 20 1146112
34 false false 1524 15 37 25 20 1141375
35 false false 331 3 5 43 20 1191740
36 true false 1834 18 42 8 26 1178056
37 false false 1012 10 24 29 20 1148654
38 false false 824 8 16 63 20 1160001
39 false false 2223 22 21 73 26 1175263
40 false false 225 2 3 40 20 1177219
41 false false 414 4 8 43 26 1189428
42 false false 1235 12 25 31 26 1169628
43 false false 914 9 25 34 26 1175135
44 false false 1513 15 29 25 26 1139000
45 false true 722 7 6 69 26 1176103
46 false false 2011 20 40 2 26 1157828
47 false false 433 4 10 52 26 1202553
48 false false 2521 25 31 19 26 1143518
49 false false 321 3 20 42 20 1185008
50 true false 1712 17 39 14 20 1150399
51 false true 911 9 12 58 26 1154137
52 false false 833 8 13 65 20 1150857
53 false false 123 1 2 32 26 1177375
54 false true 531 5 9 50 26 1183356
55 false false 2515 25 29 19 26 1138435
56 false false 833 8 13 65 26 1148765
57 false false 1423 14 26 24 26 1160167
58 false false 212 2 3 35 26 1178891
59 false false 712 7 20 68 20 1171913
60 true false 1634 16 38 15 20 1143542
61 false false 1611 16 41 10 20 1128215
62 false true 1613 16 41 10 26 1127351
63 false true 922 9 12 58 26 1159760
64 true false 2413 24 50 2 26 1158835
65 false false 312 3 20 69 26 1180029
66 false false 1122 11 27 23 20 1151627
67 false false 111 1 42 32 26 1175800
68 false false 1614 16 41 76 20 1117722
69 false true 2223 22 21 73 26 1172676
70 false false 512 5 9 50 20 1182480
71 false false 1131 11 24 26 26 1147578
72 false false 322 3 6 69 26 1179684
73 false true 2211 22 19 74 26 1157239
74 false true 2423 24 49 1 26 1163855
75 true false 814 8 23 56 26 1141930
76 false true 713 7 16 67 26 1166638
77 false false 2031 20 47 4 26 1159420
78 false true 612 6 17 71 26 1170986
79 false false 1651 16 41 76 20 1100658
80 false false 822 8 14 63 26 1155696
81 false false 112 1 42 32 26 1176805
82 false false 1031 10 22 30 20 1151831
83 false false 1123 11 28 27 26 1154889
84 false true 1023 10 28 29 26 1158799
85 false false 524 5 34 53 26 1168970
86 false true 1132 11 24 26 26 1150230
87 false false 715 7 15 67 20 1163192
88 false false 914 9 11 60 20 1172347
89 false true 1111 11 28 25 26 1144247
90 false true 1622 16 45 11 26 1134871
91 false true 2512 25 29 19 26 1135618
92 false false 1813 18 43 7 20 1171324
93 false false 1634 16 38 15 26 1142772
94 false false 411 4 8 45 26 1188340
95 false false 1811 18 32 7 20 1167026
96 false false 1634 16 30 15 26 1143608
97 false true 632 6 8 44 26 1183343
98 true false 1814 18 43 7 26 1176670
99 false true 511 5 9 49 26 1182025
100 false false 421 4 7 43 26 1194849
101 false true 1623 16 45 12 26 1143264
102 false true 1012 10 24 29 26 1148464
103 false true 512 5 34 49 26 1176439
104 false true 421 4 7 43 26 1194834
105 true false 921 9 14 58 26 1157344
106 false true 1113 11 28 25 26 1145521
107 false false 914 9 11 60 26 1172334
108 false false 1225 12 2 28 26 1162124
109 false false 2412 24 50 2 20 1161753
110 false true 631 6 6 44 26 1182289
111 false false 735 7 17 67 20 1165833
112 false false 2212 22 19 75 20 1159343
113 false false 1711 17 39 13 20 1153032
114 false false 1432 14 32 22 20 1162691
115 false false 631 6 6 44 20 1182992
116 true false 1624 16 45 15 20 1143599
117 false true 423 4 10 46 26 1197543
118 false false 1021 10 24 29 20 1153890
119 false false 1122 11 27 23 26 1151627
120 true true 513 5 34 49 26 1176031
121 false false 1724 17 33 16 20 1155974
122 false true 421 4 7 43 26 1193541
123 false false 824 8 16 66 20 1160580
124 false false 1115 11 28 26 20 1149605
125 false false 1611 16 41 10 26 1129867
126 false false 222 2 4 39 26 1183731
127 false false 715 7 15 67 26 1164853
128 false false 421 4 7 43 20 1195776
129 false false 1524 15 37 25 20 1140181
130 false false 2223 22 21 73 26 1172348
131 false true 522 5 34 49 26 1175671
132 false false 1822 18 27 8 26 1172179
133 false false 431 4 7 51 26 1192810
134 false true 1532 15 28 25 20 1144284
135 false false 511 5 9 49 20 1179387
136 false false 314 3 20 42 20 1184967
137 false false 433 4 10 55 26 1199760
138 false false 1522 15 29 25 20 1140894
139 false false 612 6 17 68 20 1170862
140 true true 1631 16 36 17 26 1126418
141 true false 2032 20 47 4 26 1162074
142 false false 2522 25 31 19 20 1143713
143 true false 2222 22 21 73 20 1169618
144 false true 431 4 7 51 26 1193487
145 false true 433 4 10 55 26 1199090
146 false true 1822 18 27 8 26 1171017
147 false true 412 4 8 48 26 1191052
148 true false 423 4 7 46 20 1196565
149 false true 2514 25 30 19 26 1136171
150 false true 1522 15 29 25 26 1139735
151 false true 314 3 5 42 26 1187484
152 false false 222 2 4 39 26 1184584
153 false false 2522 25 31 19 20 1141946
154 false false 833 8 13 65 26 1150790
155 false false 523 5 34 53 20 1175879
156 false false 1935 19 43 7 20 1169757
157 true true 612 6 17 71 26 1170011
158 false false 2223 22 21 73 26 1172579
159 false false 311 3 20 40 20 1179514
160 false false 2422 24 49 1 20 1164140
161 true false 1731 17 30 16 20 1146775
162 false false 424 4 10 46 26 1199294
163 false false 815 8 14 57 26 1147822
164 false false 914 9 11 60 20 1171863
165 false false 833 8 13 65 26 1148571
166 true false 825 8 15 66 20 1159741
167 false true 1414 14 26 22 26 1154872
168 false false 434 4 10 51 26 1195554
169 false true 422 4 7 46 26 1194234
170 false false 2234 22 34 75 26 1167332
171 false false 1821 18 43 8 20 1174261
172 false true 2213 22 19 72 26 1162813
173 false false 1113 11 28 26 20 1146387
174 false false 822 8 14 63 20 1155602
175 false false 1612 16 41 10 20 1130626
176 false false 513 5 9 49 20 1181515
177 false true 2211 22 19 74 26 1154843
178 false true 1111 11 37 23 26 1148861
179 false false 531 5 9 49 20 1178868
180 false false 612 6 17 71 26 1168051
181 false false 1115 11 28 26 26 1148125
182 false true 732 7 6 68 26 1174821
183 false false 1811 18 32 7 20 1165679
184 false true 821 8 14 57 26 1151187
185 false false 214 2 4 36 26 1183973
186 false true 722 7 20 68 26 1175050
187 false true 612 6 17 71 26 1168761
188 false true 1133 11 24 27 26 1152869
189 false false 1113 11 28 25 26 1145306
190 false false 433 4 10 55 26 1199090
Y.Coordinate Year Updated.On Latitude Longitude
1 1843765 2017 05/04/2018 03:51:04 PM 41.72664 -87.62880
2 1911584 2017 05/04/2018 03:51:04 PM 41.91283 -87.64202
3 1870933 2017 05/04/2018 03:51:04 PM 41.80176 -87.72831
4 1899040 2017 05/04/2018 03:51:04 PM 41.87829 -87.62334
5 1841607 2017 05/04/2018 03:51:04 PM 41.72072 -87.62987
6 1854297 2017 05/04/2018 03:51:04 PM 41.75563 -87.64417
7 1858210 2017 05/04/2018 03:51:04 PM 41.76600 -87.58430
8 1894331 2017 02/10/2018 03:50:01 PM 41.86563 -87.66636
9 1825824 2017 02/10/2018 03:50:01 PM 41.67744 -87.63467
10 1902038 2017 02/10/2018 03:50:01 PM 41.88698 -87.70278
11 1863367 2017 02/10/2018 03:50:01 PM 41.78023 -87.59620
12 1827094 2017 02/10/2018 03:50:01 PM 41.68136 -87.71115
13 1934426 2017 02/10/2018 03:50:01 PM 41.97633 -87.79513
14 1856254 2017 02/10/2018 03:50:01 PM 41.76103 -87.64916
15 1866763 2017 12/21/2017 03:46:09 PM 41.78984 -87.64382
16 1947120 2017 02/10/2018 03:50:01 PM 42.01122 -87.80664
17 1902645 2017 02/10/2018 03:50:01 PM 41.88893 -87.75649
18 1906052 2017 02/10/2018 03:50:01 PM 41.89809 -87.71884
19 1870007 2017 02/05/2019 04:09:13 PM 41.79892 -87.67323
20 1929384 2017 02/10/2018 03:50:01 PM 41.96176 -87.65580
21 1838313 2017 02/10/2018 03:50:01 PM 41.71107 -87.53649
22 1882133 2017 02/10/2018 03:50:01 PM 41.83182 -87.61086
23 1849282 2017 02/10/2018 03:50:01 PM 41.74228 -87.71568
24 1869772 2017 02/10/2018 03:50:01 PM 41.79795 -87.61931
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Location Historical.Wards.2003.2015 Zip.Codes
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165 (41.754988848, -87.731101768) 23 4300
166 (41.784186975, -87.689872518) 44 21867
167 (41.923763406, -87.706363595) 10 22535
168 (41.700447629, -87.559566304) 47 21202
169 (41.751009781, -87.563796798) 43 21202
170 (41.692612004, -87.662992277) 45 22212
171 (41.906684967, -87.635303024) 51 14926
172 (41.711227737, -87.679349571) 33 22212
173 (41.88096768, -87.737940272) 11 21572
174 (41.798071266, -87.704913039) 49 22248
175 (41.985008293, -87.79494274) 34 22243
176 (41.695859276, -87.611026263) 30 21861
177 (41.68139614, -87.708828073) 33 4447
178 (41.899882008, -87.728677033) 4 4299
179 (41.685953051, -87.620827806) 30 21861
180 (41.754049139, -87.659718334) 17 21554
181 (41.880654516, -87.731561021) 11 21572
182 (41.768540876, -87.634749833) 31 21559
183 (41.925172429, -87.666637578) 16 21190
184 (41.8050712, -87.721038004) 49 22248
185 (41.817733722, -87.600641158) 1 4301
186 (41.778098999, -87.633806535) 53 21559
187 (41.755965725, -87.65709614) 17 21554
188 (41.87268084, -87.714217417) 36 21572
189 (41.88449243, -87.741877356) 11 22216
190 (41.658160906, -87.547132912) 47 22250
Community.Areas Census.Tracts Wards Boundaries...ZIP.Codes Police.Districts
1 45 187 13 59 20
2 68 272 34 16 14
3 54 697 8 56 13
4 38 367 36 29 22
5 45 568 13 19 10
6 70 572 31 59 20
7 39 452 33 24 18
8 29 96 23 43 15
9 50 60 22 19 10
10 28 50 46 28 15
11 9 27 4 60 18
12 73 264 42 33 9
13 36 699 29 31 12
14 66 512 31 11 17
15 66 113 4 11 17
16 NA NA NA NA NA
17 26 673 45 32 25
18 24 456 46 5 16
19 59 767 2 37 23
20 31 577 39 53 5
21 49 528 47 25 19
22 1 581 10 40 24
23 69 199 30 8 13
24 7 401 9 10 24
25 66 435 4 11 17
26 59 84 4 37 23
27 55 196 1 56 23
28 19 355 17 21 6
29 72 594 22 13 9
30 7 403 4 60 24
31 20 53 27 50 11
32 47 254 43 19 10
33 63 318 15 58 13
34 26 562 45 5 25
35 39 152 33 24 18
36 37 158 36 6 14
37 30 753 14 57 21
38 61 112 3 58 13
39 72 631 13 19 9
40 7 403 4 60 24
41 42 507 35 25 19
42 33 228 26 43 15
43 35 3 26 40 23
44 26 61 7 32 25
45 66 435 32 11 17
46 20 31 24 50 11
47 49 552 47 25 19
48 19 355 17 21 6
49 9 27 4 60 18
50 14 127 38 20 1
51 55 612 1 56 23
52 63 318 15 58 13
53 38 368 36 35 22
54 47 601 43 19 10
55 19 57 7 2 6
56 69 571 30 8 13
57 25 302 41 4 7
58 1 222 9 36 24
59 66 113 4 11 17
60 15 115 17 21 12
61 36 657 29 17 12
62 36 735 29 31 12
63 55 641 3 56 23
64 20 31 27 50 11
65 9 332 4 60 18
66 24 584 46 30 16
67 38 92 36 41 22
68 75 8 29 31 12
69 72 593 13 19 9
70 45 236 43 19 10
71 27 717 23 30 16
72 67 514 32 60 18
73 73 256 42 33 9
74 10 489 5 9 11
75 53 607 6 7 13
76 65 384 2 23 17
77 6 28 24 20 2
78 70 572 31 59 20
79 75 668 29 38 12
80 61 776 8 56 13
81 38 580 36 41 22
82 32 234 28 57 21
83 28 39 23 30 16
84 30 16 23 43 21
85 50 642 22 13 10
86 27 702 14 30 16
87 65 274 3 23 17
88 58 59 48 40 23
89 26 695 23 32 25
90 11 779 50 48 12
91 19 78 21 2 6
92 68 273 34 16 14
93 15 115 17 21 12
94 41 431 35 25 19
95 68 210 11 16 14
96 19 355 17 21 6
97 40 141 35 61 20
98 37 271 34 16 14
99 45 570 43 19 10
100 39 245 37 24 19
101 12 746 50 48 12
102 30 761 14 57 21
103 45 524 22 19 10
104 39 245 37 24 19
105 55 196 1 56 23
106 26 69 23 32 16
107 58 688 48 40 23
108 29 5 46 28 15
109 20 320 27 12 11
110 40 11 32 61 20
111 65 433 31 23 17
112 74 334 42 33 9
113 13 799 38 50 1
114 23 209 40 16 7
115 40 141 35 61 20
116 15 139 50 21 1
117 42 506 37 25 19
118 30 34 14 57 21
119 24 584 46 30 16
120 45 524 22 19 10
121 16 116 20 39 1
122 39 420 37 24 19
123 64 112 2 58 13
124 27 675 23 30 16
125 36 657 29 17 12
126 5 461 10 10 24
127 65 345 3 23 17
128 39 245 37 24 19
129 26 673 45 32 25
130 72 592 13 13 9
131 45 486 22 19 9
132 37 108 46 54 14
133 48 252 37 25 19
134 26 695 23 32 16
135 45 570 43 19 10
136 9 27 4 60 18
137 52 787 47 26 19
138 26 68 7 32 25
139 70 572 31 59 20
140 17 392 19 52 12
141 6 106 24 15 2
142 19 306 44 2 6
143 72 195 13 59 9
144 48 252 37 25 19
145 52 787 47 26 19
146 37 108 46 54 14
147 44 473 35 25 19
148 42 175 47 25 19
149 19 82 21 52 6
150 26 68 7 32 25
151 9 469 33 60 18
152 5 395 10 36 24
153 19 306 44 2 6
154 63 318 15 58 13
155 50 7 22 19 10
156 68 769 34 16 5
157 70 487 31 59 20
158 72 631 13 59 9
159 7 404 4 60 18
160 10 489 5 9 11
161 16 328 21 21 1
162 42 506 47 25 19
163 54 697 8 56 13
164 58 59 48 40 23
165 63 318 30 8 13
166 64 111 2 58 13
167 23 371 40 1 7
168 48 174 47 25 19
169 42 478 37 25 19
170 74 380 22 13 9
171 37 290 46 54 14
172 71 629 42 13 9
173 27 732 23 30 16
174 61 776 8 56 13
175 36 733 29 17 12
176 45 237 43 19 10
177 73 264 42 33 9
178 24 99 45 5 16
179 45 253 43 19 10
180 70 557 31 59 20
181 27 717 23 30 16
182 66 479 32 11 17
183 68 770 40 16 5
184 54 698 8 56 13
185 2 220 10 36 24
186 66 435 4 11 17
187 70 572 31 59 20
188 28 685 14 30 16
189 26 696 23 32 16
190 52 787 47 26 19
Police.Beats
1 242
2 189
3 105
4 87
5 250
6 229
7 212
8 150
9 267
10 77
11 273
12 254
13 49
14 215
15 135
16 NA
17 84
18 66
19 128
20 5
21 247
22 169
23 232
24 125
25 202
26 117
27 110
28 176
29 253
30 268
31 52
32 256
33 209
34 67
35 262
36 74
37 109
38 269
39 243
40 111
41 222
42 158
43 157
44 99
45 201
46 52
47 259
48 176
49 206
50 48
51 96
52 209
53 87
54 265
55 133
56 232
57 200
58 101
59 261
60 26
61 34
62 49
63 115
64 52
65 277
66 82
67 93
68 44
69 243
70 256
71 143
72 211
73 254
74 37
75 112
76 266
77 61
78 230
79 24
80 103
81 93
82 167
83 86
84 151
85 220
86 142
87 270
88 157
89 81
90 43
91 183
92 189
93 26
94 224
95 186
96 176
97 241
98 134
99 250
100 225
101 58
102 109
103 256
104 225
105 110
106 90
107 157
108 139
109 46
110 235
111 7
112 257
113 53
114 180
115 235
116 11
117 239
118 153
119 82
120 260
121 13
122 225
123 269
124 100
125 34
126 113
127 270
128 225
129 67
130 243
131 258
132 199
133 249
134 68
135 250
136 273
137 259
138 97
139 230
140 29
141 59
142 188
143 244
144 249
145 259
146 199
147 240
148 238
149 177
150 97
151 273
152 113
153 188
154 209
155 218
156 178
157 230
158 243
159 251
160 32
161 25
162 239
163 105
164 157
165 209
166 274
167 182
168 255
169 234
170 263
171 198
172 252
173 90
174 129
175 45
176 260
177 254
178 68
179 265
180 230
181 100
182 214
183 173
184 103
185 104
186 201
187 230
188 141
189 90
190 259We see the data has 190 kidnapping reports.
Leaflet map to visualize the kidnapping data.Write YOUR CODE in the chunk below:
crimes %>% filter(Primary.Type == "KIDNAPPING") %>% leaflet() %>% addTiles() %>% addMarkers()Assuming "Longitude" and "Latitude" are longitude and latitude, respectivelyLeaflet’s interactivity allow us to cluster markers at varying levels of detail.
clusterOptions argument to addMarkers() to cluster the data on the map.Write YOUR CODE in the chunk below:
crimes %>% filter(Primary.Type == "KIDNAPPING") %>% leaflet() %>% addTiles() %>% addMarkers(clusterOptions = addMarkers)Assuming "Longitude" and "Latitude" are longitude and latitude, respectively#southRubric:
Codes filtering the data works 2 pts
Map is produced 3 pts
Map with Clusters is produced 3 pts
Correct statement where more kidnapping crimes occurred 2 pts
c) (10 pts) You remember from week 1 we can make some information to appear when we click on the point using the popup= option, e.g. popup = ~Date:
crimes %>% filter(Primary.Type == "KIDNAPPING") %>% leaflet() %>% addTiles() %>% addMarkers(popup = ~Date)Assuming "Longitude" and "Latitude" are longitude and latitude, respectivelySelect data for one of the following type of crimes ARSON or SEX OFFENSE.
Create map that incorporates cluster markers using the clusterOptions argument to addMarkers().
Hint: Use summary(crimes$Primary.Type) to see the type of crimes. The variable is Primary Type of the crime. (code is commented below, uncomment to run)
Write YOUR CODE in the chunk below:
crimes %>% filter(Primary.Type == "ARSON") %>% leaflet() %>% addTiles() %>% addMarkers(clusterOptions = addMarkers)Assuming "Longitude" and "Latitude" are longitude and latitude, respectivelysummary(crimes$Primary.Type == "ARSON" & crimes$Description == "BY FIRE") Mode FALSE TRUE
logical 267889 332 summary(crimes$Primary.Type == "ARSON" & crimes$Description == "BY EXPLOSIVE") Mode FALSE TRUE
logical 268218 3 #332 by fire
#3 by explosiveRubric:
Codes filtering the data works 3 pts
Map is produced 3 pts
Map with clusterOptions is produced 4 pts
d) (10 pts) How many crimes (observations) of the selected type ? How many have Description “BY FIRE”? How many have Description “BY EXPLOSIVE”
Answer(s): 444 ARSON, 332 BY FIRE, 3 BY EXPLOSIVE
Rubric:
State correct number of observation 4 pts
State correct number that have the Description “BY FIRE” 3 pts
State correct number that have Description “BY EXPLOSIVE” 3 pts
e) (10 pts) For the selected type crime, using the popup option add the Description value to appear on click on a markers on the map.
Hint: Use popup = ~as.charecter(Description)in addMarkers.
Write YOUR CODE in the chunk below:
crimes %>% filter(Primary.Type == "ARSON") %>% leaflet() %>% addTiles() %>% addMarkers(popup = ~as.character(Description))Assuming "Longitude" and "Latitude" are longitude and latitude, respectively#crimes %>% filter(Primary.Type == "ARSON") %>% leaflet() %>% addTiles() %>% addMarkers(clusterOptions = addMarkers, popup = ~as.character(Description))
#North is saferRubric:
Map is produced with correct data 3 pts
Map is produced with correct popup option 3 pts
Safer part of the city identified 4 pts
The Apple data contains sales (in million) and revenues (in billion) about 4 Apple Inc. products, iPhone, iPad, Apple Watch, and Mac from 2017 to 2020. The file apple.Rdata contains data.frame object with 16 observation for 4 variables. Variables are Product, Year, Sales, and Revenue.
a) (10 pts) Load the date from the file using the load() function. How many observation in the data?
Write YOUR CODE in the chunk below:
load(file = "C:/Users/dasha/Downloads/apple (1).Rdata")
#apple <- read.html("C:/Users/dasha/Downloads/apple.Rdata", header = TRUE)
View(apple)
#16 observations, 4 variablesRubric:
b) (10 pts) Filter the data so that iPhone product is excluded. Create new data frame called apple1.
Write YOUR CODE in the chunk below:
apple1 <- apple %>% filter(Product != "iPhone")
View(apple1)
class(apple1)[1] "data.frame"Rubric:
c) (10 pts) Recreate the graph about the Apple Data, shown on the picture file listed in the project, using gvisBubbleChart() function by setting the idvar="Product", xvar="Revenue", colorvar="Year", and sizevar="Sales".
Write YOUR CODE in the chunk below:
plot(gvisBubbleChart(apple1, idvar="Product", xvar="Revenue", colorvar="Year", sizevar="Sales"))Rubric:
apple1 data has only some element of the one provided 3 ptsapple1 data has ALL element of the one provided 4 ptsd) (10 pts) Briefly discuss the pros and cons of the visualization in part c)
Generally data gives people the impression that what they are seeing is the truth, which it is but unfortunately it is only a partial truth. Much data is lost due to failure to report, negligence or any other variable has the potential to muddy the information we are looking at. Though this may be the case, depending on the quantity of data, I believe this is negligible. By using data we can make better decisions in the future based on what we know about the past i.e. the collected data. In the end we may misinterpret or oversimplify but we also have the ability to make better decisions and communicate more effectively such as the story I heard once about how statisticians were unable to do so in the past effectively which lead to catastrophe.
Rubric:
e) (10 pts) Propose better visualization for the Apple Products Data
These apple charts don’t tell us very much information. It lacks essential information for those who would like to focus more on locations that produce the most revenue. Perhaps they would like to close a store because profits aren’t where they should be but using this data we wouldn’t know which locations to start with.