Overview

Dataset statistics

Number of variables31
Number of observations10000
Missing cells121863
Missing cells (%)39.3%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory2.5 MiB
Average record size in memory266.0 B

Variable types

Text6
Categorical12
Numeric4
Unsupported2
DateTime3
Boolean4

Dataset

Description서울특별시 강서구의 CCTV 시설물 정보를 제공합니다. 시설물라벨명칭, 시설물종류, 시설물용도분류명, 시설물물품구분, 지번주소, 도로명주소, 경도, 위도, 좌표 등의 항목을 포함하고 있습니다.
Author서울특별시 강서구
URLhttps://www.data.go.kr/data/15072612/fileData.do

Alerts

행정동 has constant value ""Constant
Dataset has 3 (< 0.1%) duplicate rowsDuplicates
시설물종류명 is highly imbalanced (68.6%)Imbalance
시설물용도분류명 is highly imbalanced (69.0%)Imbalance
시설물물품구분 is highly imbalanced (69.0%)Imbalance
좌표 is highly imbalanced (56.1%)Imbalance
시설물상태 is highly imbalanced (87.9%)Imbalance
아이콘지아이에스표출여부 is highly imbalanced (99.5%)Imbalance
번호인식카메라여부 is highly imbalanced (90.7%)Imbalance
비상벨여부 is highly imbalanced (92.1%)Imbalance
행정동명 is highly imbalanced (77.6%)Imbalance
지번주소명 has 7569 (75.7%) missing valuesMissing
도로명주소명 has 8107 (81.1%) missing valuesMissing
경도 has 7366 (73.7%) missing valuesMissing
위도 has 7366 (73.7%) missing valuesMissing
접속포트 has 10000 (100.0%) missing valuesMissing
시설물설치일 has 8940 (89.4%) missing valuesMissing
이전전시설물유형 has 10000 (100.0%) missing valuesMissing
비상벨현장단말전화번호 has 9485 (94.8%) missing valuesMissing
비상벨여부 has 8454 (84.5%) missing valuesMissing
경찰지구대 has 9522 (95.2%) missing valuesMissing
등록일시 has 346 (3.5%) missing valuesMissing
행정동분류명 has 9325 (93.2%) missing valuesMissing
행정동 has 9999 (> 99.9%) missing valuesMissing
씨씨티브이방향각지원여부 has 7797 (78.0%) missing valuesMissing
관리번호 has 7567 (75.7%) missing valuesMissing
행정동분류명 is highly skewed (γ1 = -25.9807618)Skewed
접속포트 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이전전시설물유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 09:18:02.363035
Analysis finished2023-12-12 09:18:03.888652
Duration1.53 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물라벨명칭
Text

Distinct3549
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T18:18:04.059614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length55
Mean length34.2534
Min length8

Characters and Unicode

Total characters342534
Distinct characters480
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1847 ?
Unique (%)18.5%

Sample

1st rowC301029_화곡8동 385-20(고정3) 더부리 어린이공원 방향
2nd rowC311044_화곡본동 46-148(고정3) 좌측은 청구빌라트 우측은 비둘기공원 방향
3rd rowC261019_화곡2동 869-63
4th rowC181022(SC121) - 마곡중앙5로 마곡중학교 맞은편(보조2줌-택시승강장) (9시 신방화역)
5th rowC181037(SC105) - 마곡중앙3로 N3(종교 부지) 앞 삼거리
ValueCountFrequency (%)
2979
 
7.5%
방향 1618
 
4.1%
앞 396
 
1.0%
카메라 324
 
0.8%
1 318
 
0.8%
스위치 314
 
0.8%
전원제어장치 263
 
0.7%
vtalk(비상벨 250
 
0.6%
폴 242
 
0.6%
마곡중앙로 207
 
0.5%
Other values (5396) 32577
82.5%
2023-12-12T18:18:04.480178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 33285
 
9.7%
30981
 
9.0%
0 22341
 
6.5%
2 19043
 
5.6%
( 12968
 
3.8%
) 12927
 
3.8%
3 12674
 
3.7%
- 10594
 
3.1%
_ 9274
 
2.7%
4 8941
 
2.6%
Other values (470) 169506
49.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131938
38.5%
Other Letter 115677
33.8%
Space Separator 30981
 
9.0%
Uppercase Letter 17446
 
5.1%
Open Punctuation 13096
 
3.8%
Close Punctuation 13055
 
3.8%
Dash Punctuation 10594
 
3.1%
Connector Punctuation 9274
 
2.7%
Lowercase Letter 279
 
0.1%
Other Punctuation 194
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8653
 
7.5%
화 6611
 
5.7%
곡 6267
 
5.4%
로 4792
 
4.1%
방 4670
 
4.0%
향 3056
 
2.6%
정 2784
 
2.4%
길 2484
 
2.1%
등 2422
 
2.1%
고 2356
 
2.0%
Other values (418) 71582
61.9%
Uppercase Letter
ValueCountFrequency (%)
C 8108
46.5%
A 3605
20.7%
S 2527
 
14.5%
P 739
 
4.2%
T 548
 
3.1%
I 444
 
2.5%
L 283
 
1.6%
K 263
 
1.5%
V 252
 
1.4%
G 231
 
1.3%
Other values (11) 446
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 33285
25.2%
0 22341
16.9%
2 19043
14.4%
3 12674
 
9.6%
4 8941
 
6.8%
6 8300
 
6.3%
5 7846
 
5.9%
8 7717
 
5.8%
7 6155
 
4.7%
9 5636
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 90
32.3%
e 52
18.6%
r 45
16.1%
m 45
16.1%
n 14
 
5.0%
o 14
 
5.0%
y 7
 
2.5%
l 7
 
2.5%
b 5
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 88
45.4%
, 75
38.7%
# 17
 
8.8%
& 7
 
3.6%
/ 7
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 12968
99.0%
[ 128
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 12927
99.0%
] 128
 
1.0%
Space Separator
ValueCountFrequency (%)
30981
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10594
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9274
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209132
61.1%
Hangul 115677
33.8%
Latin 17725
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8653
 
7.5%
화 6611
 
5.7%
곡 6267
 
5.4%
로 4792
 
4.1%
방 4670
 
4.0%
향 3056
 
2.6%
정 2784
 
2.4%
길 2484
 
2.1%
등 2422
 
2.1%
고 2356
 
2.0%
Other values (418) 71582
61.9%
Latin
ValueCountFrequency (%)
C 8108
45.7%
A 3605
20.3%
S 2527
 
14.3%
P 739
 
4.2%
T 548
 
3.1%
I 444
 
2.5%
L 283
 
1.6%
K 263
 
1.5%
V 252
 
1.4%
G 231
 
1.3%
Other values (20) 725
 
4.1%
Common
ValueCountFrequency (%)
1 33285
15.9%
30981
14.8%
0 22341
10.7%
2 19043
9.1%
( 12968
 
6.2%
) 12927
 
6.2%
3 12674
 
6.1%
- 10594
 
5.1%
_ 9274
 
4.4%
4 8941
 
4.3%
Other values (12) 36104
17.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226857
66.2%
Hangul 115677
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 33285
14.7%
30981
13.7%
0 22341
9.8%
2 19043
 
8.4%
( 12968
 
5.7%
) 12927
 
5.7%
3 12674
 
5.6%
- 10594
 
4.7%
_ 9274
 
4.1%
4 8941
 
3.9%
Other values (42) 53829
23.7%
Hangul
ValueCountFrequency (%)
동 8653
 
7.5%
화 6611
 
5.7%
곡 6267
 
5.4%
로 4792
 
4.1%
방 4670
 
4.0%
향 3056
 
2.6%
정 2784
 
2.4%
길 2484
 
2.1%
등 2422
 
2.1%
고 2356
 
2.0%
Other values (418) 71582
61.9%

시설물종류명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
CTV
8571 
EGB
 
378
SWC
 
330
POL
 
276
PWE
 
263
Other values (3)
 
182

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCTV
2nd rowCTV
3rd rowCTV
4th rowCTV
5th rowCTV

Common Values

ValueCountFrequency (%)
CTV 8571
85.7%
EGB 378
 
3.8%
SWC 330
 
3.3%
POL 276
 
2.8%
PWE 263
 
2.6%
VES 116
 
1.2%
HUL 37
 
0.4%
WAP 29
 
0.3%

Length

2023-12-12T18:18:04.617939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:04.743864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ctv 8571
85.7%
egb 378
 
3.8%
swc 330
 
3.3%
pol 276
 
2.8%
pwe 263
 
2.6%
ves 116
 
1.2%
hul 37
 
0.4%
wap 29
 
0.3%

시설물용도분류명
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
POC
8251 
EGB
 
378
SWC
 
330
POL
 
276
PWE
 
263
Other values (10)
 
502

Length

Max length4
Median length3
Mean length3.0032
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPOC
2nd rowPOC
3rd rowPOC
4th rowPOC
5th rowPOC

Common Values

ValueCountFrequency (%)
POC 8251
82.5%
EGB 378
 
3.8%
SWC 330
 
3.3%
POL 276
 
2.8%
PWE 263
 
2.6%
CPZ 129
 
1.3%
VES 116
 
1.2%
PPC 68
 
0.7%
CPV 64
 
0.6%
HUL 37
 
0.4%
Other values (5) 88
 
0.9%

Length

2023-12-12T18:18:04.881930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
poc 8251
82.5%
egb 378
 
3.8%
swc 330
 
3.3%
pol 276
 
2.8%
pwe 263
 
2.6%
cpz 129
 
1.3%
ves 116
 
1.2%
ppc 68
 
0.7%
cpv 64
 
0.6%
hul 37
 
0.4%
Other values (5) 88
 
0.9%

시설물물품구분
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
방범용
8251 
앰프(비상벨)
 
378
광스위치
 
330
폴
 
276
전원제어장치
 
263
Other values (10)
 
502

Length

Max length7
Median length3
Mean length3.3244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방범용
2nd row방범용
3rd row방범용
4th row방범용
5th row방범용

Common Values

ValueCountFrequency (%)
방범용 8251
82.5%
앰프(비상벨) 378
 
3.8%
광스위치 330
 
3.3%
폴 276
 
2.8%
전원제어장치 263
 
2.6%
어린이보호구역 129
 
1.3%
비디오서버 116
 
1.2%
공원방범 68
 
0.7%
불법주정차단속 64
 
0.6%
함체 37
 
0.4%
Other values (5) 88
 
0.9%

Length

2023-12-12T18:18:05.024883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
방범용 8251
82.5%
앰프(비상벨 378
 
3.8%
광스위치 330
 
3.3%
폴 276
 
2.8%
전원제어장치 263
 
2.6%
어린이보호구역 129
 
1.3%
비디오서버 116
 
1.2%
공원방범 68
 
0.7%
불법주정차단속 64
 
0.6%
함체 37
 
0.4%
Other values (5) 88
 
0.9%

지번주소명
Text

MISSING 

Distinct1208
Distinct (%)49.7%
Missing7569
Missing (%)75.7%
Memory size156.2 KiB
2023-12-12T18:18:05.454415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length10.511312
Min length3

Characters and Unicode

Total characters25553
Distinct characters147
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique600 ?
Unique (%)24.7%

Sample

1st row화곡본동 29-41
2nd row화곡8동 151-14
3rd row화곡1동 347-12
4th row화곡동 55-93
5th row등촌2동 365-21
ValueCountFrequency (%)
마곡동 354
 
7.3%
화곡동 185
 
3.8%
화곡1동 157
 
3.2%
화곡본동 155
 
3.2%
화곡4동 99
 
2.0%
공항동 98
 
2.0%
화곡8동 97
 
2.0%
우장산동 85
 
1.7%
화곡3동 82
 
1.7%
등촌2동 75
 
1.5%
Other values (1166) 3475
71.5%
2023-12-12T18:18:06.040910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2658
 
10.4%
동 2402
 
9.4%
1 2213
 
8.7%
- 1993
 
7.8%
2 1385
 
5.4%
곡 1367
 
5.3%
화 1331
 
5.2%
3 1301
 
5.1%
6 1176
 
4.6%
4 1063
 
4.2%
Other values (137) 8664
33.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11588
45.3%
Other Letter 9195
36.0%
Space Separator 2658
 
10.4%
Dash Punctuation 1993
 
7.8%
Open Punctuation 57
 
0.2%
Close Punctuation 55
 
0.2%
Uppercase Letter 6
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2402
26.1%
곡 1367
14.9%
화 1331
14.5%
등 424
 
4.6%
마 361
 
3.9%
방 274
 
3.0%
촌 264
 
2.9%
산 258
 
2.8%
본 165
 
1.8%
공 160
 
1.7%
Other values (120) 2189
23.8%
Decimal Number
ValueCountFrequency (%)
1 2213
19.1%
2 1385
12.0%
3 1301
11.2%
6 1176
10.1%
4 1063
9.2%
7 1061
9.2%
5 943
8.1%
8 897
7.7%
0 843
 
7.3%
9 706
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
50.0%
T 3
50.0%
Space Separator
ValueCountFrequency (%)
2658
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1993
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16352
64.0%
Hangul 9195
36.0%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2402
26.1%
곡 1367
14.9%
화 1331
14.5%
등 424
 
4.6%
마 361
 
3.9%
방 274
 
3.0%
촌 264
 
2.9%
산 258
 
2.8%
본 165
 
1.8%
공 160
 
1.7%
Other values (120) 2189
23.8%
Common
ValueCountFrequency (%)
2658
16.3%
1 2213
13.5%
- 1993
12.2%
2 1385
8.5%
3 1301
8.0%
6 1176
7.2%
4 1063
 
6.5%
7 1061
 
6.5%
5 943
 
5.8%
8 897
 
5.5%
Other values (5) 1662
10.2%
Latin
ValueCountFrequency (%)
K 3
50.0%
T 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16358
64.0%
Hangul 9195
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2658
16.2%
1 2213
13.5%
- 1993
12.2%
2 1385
8.5%
3 1301
8.0%
6 1176
7.2%
4 1063
 
6.5%
7 1061
 
6.5%
5 943
 
5.8%
8 897
 
5.5%
Other values (7) 1668
10.2%
Hangul
ValueCountFrequency (%)
동 2402
26.1%
곡 1367
14.9%
화 1331
14.5%
등 424
 
4.6%
마 361
 
3.9%
방 274
 
3.0%
촌 264
 
2.9%
산 258
 
2.8%
본 165
 
1.8%
공 160
 
1.7%
Other values (120) 2189
23.8%

도로명주소명
Text

MISSING 

Distinct799
Distinct (%)42.2%
Missing8107
Missing (%)81.1%
Memory size156.2 KiB
2023-12-12T18:18:06.372850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length10.695721
Min length5

Characters and Unicode

Total characters20247
Distinct characters129
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)16.2%

Sample

1st row까치산로15길 9
2nd row강서로18바길 22-26
3rd row초록마을로 64
4th row공항대로58다길 26
5th row등촌로35길 158
ValueCountFrequency (%)
앞 120
 
2.9%
마곡중앙로 59
 
1.4%
공항대로 49
 
1.2%
12 39
 
1.0%
내 38
 
0.9%
마곡서1로 38
 
0.9%
화곡로 38
 
0.9%
양천로 38
 
0.9%
마곡서로 37
 
0.9%
26 37
 
0.9%
Other values (799) 3593
87.9%
2023-12-12T18:18:06.921550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2452
 
12.1%
로 1931
 
9.5%
길 1421
 
7.0%
1 1330
 
6.6%
2 952
 
4.7%
3 926
 
4.6%
4 736
 
3.6%
5 703
 
3.5%
6 566
 
2.8%
7 511
 
2.5%
Other values (119) 8719
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10590
52.3%
Decimal Number 6841
33.8%
Space Separator 2452
 
12.1%
Dash Punctuation 302
 
1.5%
Uppercase Letter 58
 
0.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 1931
18.2%
길 1421
 
13.4%
곡 480
 
4.5%
화 446
 
4.2%
서 391
 
3.7%
마 370
 
3.5%
대 316
 
3.0%
공 308
 
2.9%
강 297
 
2.8%
가 213
 
2.0%
Other values (100) 4417
41.7%
Decimal Number
ValueCountFrequency (%)
1 1330
19.4%
2 952
13.9%
3 926
13.5%
4 736
10.8%
5 703
10.3%
6 566
8.3%
7 511
 
7.5%
8 463
 
6.8%
9 353
 
5.2%
0 301
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
D 23
39.7%
C 22
37.9%
P 6
 
10.3%
S 5
 
8.6%
N 2
 
3.4%
Space Separator
ValueCountFrequency (%)
2452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10590
52.3%
Common 9599
47.4%
Latin 58
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 1931
18.2%
길 1421
 
13.4%
곡 480
 
4.5%
화 446
 
4.2%
서 391
 
3.7%
마 370
 
3.5%
대 316
 
3.0%
공 308
 
2.9%
강 297
 
2.8%
가 213
 
2.0%
Other values (100) 4417
41.7%
Common
ValueCountFrequency (%)
2452
25.5%
1 1330
13.9%
2 952
 
9.9%
3 926
 
9.6%
4 736
 
7.7%
5 703
 
7.3%
6 566
 
5.9%
7 511
 
5.3%
8 463
 
4.8%
9 353
 
3.7%
Other values (4) 607
 
6.3%
Latin
ValueCountFrequency (%)
D 23
39.7%
C 22
37.9%
P 6
 
10.3%
S 5
 
8.6%
N 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10590
52.3%
ASCII 9657
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2452
25.4%
1 1330
13.8%
2 952
 
9.9%
3 926
 
9.6%
4 736
 
7.6%
5 703
 
7.3%
6 566
 
5.9%
7 511
 
5.3%
8 463
 
4.8%
9 353
 
3.7%
Other values (9) 665
 
6.9%
Hangul
ValueCountFrequency (%)
로 1931
18.2%
길 1421
 
13.4%
곡 480
 
4.5%
화 446
 
4.2%
서 391
 
3.7%
마 370
 
3.5%
대 316
 
3.0%
공 308
 
2.9%
강 297
 
2.8%
가 213
 
2.0%
Other values (100) 4417
41.7%

경도
Real number (ℝ)

MISSING 

Distinct1320
Distinct (%)50.1%
Missing7366
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean126.83782
Minimum126
Maximum126.87722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:18:07.081477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile126.8094
Q1126.82462
median126.84141
Q3126.85105
95-th percentile126.8628
Maximum126.87722
Range0.877225
Interquartile range (IQR)0.0264259

Descriptive statistics

Standard deviation0.033155662
Coefficient of variation (CV)0.00026140203
Kurtosis462.77629
Mean126.83782
Median Absolute Deviation (MAD)0.0117933
Skewness-18.418854
Sum334090.81
Variance0.0010992979
MonotonicityNot monotonic
2023-12-12T18:18:07.247801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.84161 11
 
0.1%
126.84662 8
 
0.1%
126.8223427 8
 
0.1%
126.8219122 7
 
0.1%
126.821458 7
 
0.1%
126.854256 7
 
0.1%
126.84407 7
 
0.1%
126.8192682 7
 
0.1%
126.8321317 7
 
0.1%
126.81386 7
 
0.1%
Other values (1310) 2558
 
25.6%
(Missing) 7366
73.7%
ValueCountFrequency (%)
126.0 3
< 0.1%
126.7990892 1
 
< 0.1%
126.79914 2
< 0.1%
126.79923 2
< 0.1%
126.7994 4
< 0.1%
126.7996539 1
 
< 0.1%
126.799774 2
< 0.1%
126.79999 4
< 0.1%
126.8004678 1
 
< 0.1%
126.80127 3
< 0.1%
ValueCountFrequency (%)
126.877225 1
 
< 0.1%
126.876852 2
< 0.1%
126.8765587 1
 
< 0.1%
126.876558 1
 
< 0.1%
126.876523 1
 
< 0.1%
126.8762136 1
 
< 0.1%
126.87554 3
< 0.1%
126.875175 4
< 0.1%
126.87429 4
< 0.1%
126.8732063 2
< 0.1%

위도
Real number (ℝ)

MISSING 

Distinct1343
Distinct (%)51.0%
Missing7366
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean37.551375
Minimum37
Maximum37.588789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:18:07.407219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile37.531055
Q137.539383
median37.55228
Q337.563248
95-th percentile37.575924
Maximum37.588789
Range0.58878942
Interquartile range (IQR)0.023865145

Descriptive statistics

Standard deviation0.023443814
Coefficient of variation (CV)0.00062431307
Kurtosis346.69789
Mean37.551375
Median Absolute Deviation (MAD)0.011741815
Skewness-14.759472
Sum98910.322
Variance0.00054961242
MonotonicityNot monotonic
2023-12-12T18:18:07.615675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.536232 9
 
0.1%
37.558514 8
 
0.1%
37.55697891 8
 
0.1%
37.563328 7
 
0.1%
37.56700386 7
 
0.1%
37.55937142 7
 
0.1%
37.56513188 7
 
0.1%
37.554707 7
 
0.1%
37.56651227 7
 
0.1%
37.57091702 6
 
0.1%
Other values (1333) 2561
 
25.6%
(Missing) 7366
73.7%
ValueCountFrequency (%)
37.0 3
< 0.1%
37.527225 3
< 0.1%
37.52758708 1
 
< 0.1%
37.52761074 1
 
< 0.1%
37.52772473 1
 
< 0.1%
37.52772584 1
 
< 0.1%
37.52782 4
< 0.1%
37.527996 2
< 0.1%
37.528107 2
< 0.1%
37.52841123 1
 
< 0.1%
ValueCountFrequency (%)
37.58878942 1
 
< 0.1%
37.58877817 1
 
< 0.1%
37.588676 5
0.1%
37.587597 5
0.1%
37.58698371 3
< 0.1%
37.58464 4
< 0.1%
37.584534 2
 
< 0.1%
37.58382 2
 
< 0.1%
37.583183 2
 
< 0.1%
37.58286202 1
 
< 0.1%

좌표
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8136 
0.0
1863 
0.1
 
1

Length

Max length4
Median length4
Mean length3.8136
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8136
81.4%
0.0 1863
 
18.6%
0.1 1
 
< 0.1%

Length

2023-12-12T18:18:07.773369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:07.873516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8136
81.4%
0.0 1863
 
18.6%
0.1 1
 
< 0.1%

사용유형분류명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
D
7537 
Y
2429 
N
 
34

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD
2nd rowD
3rd rowD
4th rowD
5th rowD

Common Values

ValueCountFrequency (%)
D 7537
75.4%
Y 2429
 
24.3%
N 34
 
0.3%

Length

2023-12-12T18:18:07.981901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:08.097659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d 7537
75.4%
y 2429
 
24.3%
n 34
 
0.3%

시설물상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9836 
1
 
164

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9836
98.4%
1 164
 
1.6%

Length

2023-12-12T18:18:08.221900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:08.338653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9836
98.4%
1 164
 
1.6%

접속포트
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

시설물설치일
Date

MISSING 

Distinct37
Distinct (%)3.5%
Missing8940
Missing (%)89.4%
Memory size156.2 KiB
Minimum2005-01-01 00:00:00
Maximum2019-08-01 00:00:00
2023-12-12T18:18:08.492790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:18:08.663587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

센터분류명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
MGD
7887 
KSG
2018 
<NA>
 
95

Length

Max length4
Median length3
Mean length3.0095
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMGD
2nd rowMGD
3rd rowMGD
4th rowMGD
5th rowMGD

Common Values

ValueCountFrequency (%)
MGD 7887
78.9%
KSG 2018
 
20.2%
<NA> 95
 
0.9%

Length

2023-12-12T18:18:08.815183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:08.922575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mgd 7887
78.9%
ksg 2018
 
20.2%
na 95
 
0.9%

지구분류명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
341
7867 
77
2038 
<NA>
 
95

Length

Max length4
Median length3
Mean length2.8057
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row341
2nd row341
3rd row341
4th row341
5th row341

Common Values

ValueCountFrequency (%)
341 7867
78.7%
77 2038
 
20.4%
<NA> 95
 
0.9%

Length

2023-12-12T18:18:09.068383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:09.200540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
341 7867
78.7%
77 2038
 
20.4%
na 95
 
0.9%

아이콘지아이에스표출여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9996 
False
 
4
ValueCountFrequency (%)
True 9996
> 99.9%
False 4
 
< 0.1%
2023-12-12T18:18:09.291281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

이전전시설물유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

번호인식카메라여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing20
Missing (%)0.2%
Memory size97.7 KiB
False
9861 
True
 
119
(Missing)
 
20
ValueCountFrequency (%)
False 9861
98.6%
True 119
 
1.2%
(Missing) 20
 
0.2%
2023-12-12T18:18:09.371161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

완제품구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7984 
S
2016 

Length

Max length4
Median length4
Mean length3.3952
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7984
79.8%
S 2016
 
20.2%

Length

2023-12-12T18:18:09.495891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:09.597928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7984
79.8%
s 2016
 
20.2%

비상벨현장단말전화번호
Text

MISSING 

Distinct399
Distinct (%)77.5%
Missing9485
Missing (%)94.8%
Memory size156.2 KiB
2023-12-12T18:18:09.939631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.9883495
Min length5

Characters and Unicode

Total characters3084
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)57.1%

Sample

1st row114004
2nd row118024
3rd row30333
4th row161017
5th row111108
ValueCountFrequency (%)
30333 12
 
2.3%
181051 3
 
0.6%
111056 2
 
0.4%
112046 2
 
0.4%
111003 2
 
0.4%
112026 2
 
0.4%
111084 2
 
0.4%
112001 2
 
0.4%
118005 2
 
0.4%
111011 2
 
0.4%
Other values (389) 484
94.0%
2023-12-12T18:18:10.516401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1254
40.7%
0 630
20.4%
2 272
 
8.8%
3 241
 
7.8%
4 166
 
5.4%
8 161
 
5.2%
5 107
 
3.5%
6 105
 
3.4%
9 76
 
2.5%
7 66
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3078
99.8%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1254
40.7%
0 630
20.5%
2 272
 
8.8%
3 241
 
7.8%
4 166
 
5.4%
8 161
 
5.2%
5 107
 
3.5%
6 105
 
3.4%
9 76
 
2.5%
7 66
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
C 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3078
99.8%
Latin 6
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1254
40.7%
0 630
20.5%
2 272
 
8.8%
3 241
 
7.8%
4 166
 
5.4%
8 161
 
5.2%
5 107
 
3.5%
6 105
 
3.4%
9 76
 
2.5%
7 66
 
2.1%
Latin
ValueCountFrequency (%)
C 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3084
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1254
40.7%
0 630
20.4%
2 272
 
8.8%
3 241
 
7.8%
4 166
 
5.4%
8 161
 
5.2%
5 107
 
3.5%
6 105
 
3.4%
9 76
 
2.5%
7 66
 
2.1%

비상벨센터단말전화번호
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8016 
777002
1984 

Length

Max length6
Median length4
Mean length4.3968
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8016
80.2%
777002 1984
 
19.8%

Length

2023-12-12T18:18:10.702323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:11.134957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8016
80.2%
777002 1984
 
19.8%

관리지역분류명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
MG
7907 
KSG
1994 
<NA>
 
99

Length

Max length4
Median length2
Mean length2.2192
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMG
2nd rowMG
3rd rowMG
4th rowMG
5th rowMG

Common Values

ValueCountFrequency (%)
MG 7907
79.1%
KSG 1994
 
19.9%
<NA> 99
 
1.0%

Length

2023-12-12T18:18:11.267530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:18:11.387755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mg 7907
79.1%
ksg 1994
 
19.9%
na 99
 
1.0%

비상벨여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing8454
Missing (%)84.5%
Memory size97.7 KiB
False
1531 
True
 
15
(Missing)
8454 
ValueCountFrequency (%)
False 1531
 
15.3%
True 15
 
0.1%
(Missing) 8454
84.5%
2023-12-12T18:18:11.485492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

경찰지구대
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)2.1%
Missing9522
Missing (%)95.2%
Infinite0
Infinite (%)0.0%
Mean5.4853556
Minimum2
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:18:11.579923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q37
95-th percentile11
Maximum11
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7378079
Coefficient of variation (CV)0.4991122
Kurtosis-0.8203979
Mean5.4853556
Median Absolute Deviation (MAD)2
Skewness0.55882689
Sum2622
Variance7.4955922
MonotonicityNot monotonic
2023-12-12T18:18:11.689245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 77
 
0.8%
3 71
 
0.7%
2 66
 
0.7%
5 61
 
0.6%
6 52
 
0.5%
10 42
 
0.4%
7 40
 
0.4%
11 25
 
0.2%
9 25
 
0.2%
8 19
 
0.2%
(Missing) 9522
95.2%
ValueCountFrequency (%)
2 66
0.7%
3 71
0.7%
4 77
0.8%
5 61
0.6%
6 52
0.5%
7 40
0.4%
8 19
 
0.2%
9 25
 
0.2%
10 42
0.4%
11 25
 
0.2%
ValueCountFrequency (%)
11 25
 
0.2%
10 42
0.4%
9 25
 
0.2%
8 19
 
0.2%
7 40
0.4%
6 52
0.5%
5 61
0.6%
4 77
0.8%
3 71
0.7%
2 66
0.7%

등록일시
Date

MISSING 

Distinct385
Distinct (%)4.0%
Missing346
Missing (%)3.5%
Memory size156.2 KiB
Minimum2015-05-15 00:01:00
Maximum2020-09-26 00:31:00
2023-12-12T18:18:11.835254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:18:12.026807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일시
Date

Distinct476
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-10-18 17:38:00
Maximum2020-10-14 15:15:00
2023-12-12T18:18:12.194438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:18:12.361652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행정동분류명
Real number (ℝ)

MISSING  SKEWED 

Distinct21
Distinct (%)3.1%
Missing9325
Missing (%)93.2%
Infinite0
Infinite (%)0.0%
Mean1.1483546 × 109
Minimum1
Maximum1.1500641 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T18:18:12.484010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.150052 × 109
Q11.150054 × 109
median1.1500591 × 109
Q31.1500615 × 109
95-th percentile1.1500641 × 109
Maximum1.1500641 × 109
Range1.1500641 × 109
Interquartile range (IQR)7500

Descriptive statistics

Standard deviation44265767
Coefficient of variation (CV)0.038547125
Kurtosis674.99999
Mean1.1483546 × 109
Median Absolute Deviation (MAD)3900
Skewness-25.980762
Sum7.7513934 × 1011
Variance1.9594582 × 1015
MonotonicityNot monotonic
2023-12-12T18:18:12.606063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1150054000 73
 
0.7%
1150059000 64
 
0.6%
1150063000 47
 
0.5%
1150061500 46
 
0.5%
1150053500 45
 
0.4%
1150062000 41
 
0.4%
1150064100 40
 
0.4%
1150064000 36
 
0.4%
1150060300 36
 
0.4%
1150059300 35
 
0.4%
Other values (11) 212
 
2.1%
(Missing) 9325
93.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
1150051000 18
 
0.2%
1150052000 30
0.3%
1150053000 25
 
0.2%
1150053500 45
0.4%
1150054000 73
0.7%
1150055000 23
 
0.2%
1150056000 32
0.3%
1150057000 26
 
0.3%
1150059000 64
0.6%
ValueCountFrequency (%)
1150064100 40
0.4%
1150064000 36
0.4%
1150063000 47
0.5%
1150062000 41
0.4%
1150061500 46
0.5%
1150061100 23
0.2%
1150060500 8
 
0.1%
1150060400 2
 
< 0.1%
1150060300 36
0.4%
1150059300 35
0.4%

행정동
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
2023-12-12T18:18:12.676121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1
ValueCountFrequency (%)
1 1
100.0%
2023-12-12T18:18:12.889719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
100.0%

씨씨티브이방향각지원여부
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing7797
Missing (%)78.0%
Memory size97.7 KiB
False
1840 
True
 
363
(Missing)
7797 
ValueCountFrequency (%)
False 1840
 
18.4%
True 363
 
3.6%
(Missing) 7797
78.0%
2023-12-12T18:18:13.021617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

관리번호
Text

MISSING 

Distinct1036
Distinct (%)42.6%
Missing7567
Missing (%)75.7%
Memory size156.2 KiB
2023-12-12T18:18:13.325903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length6.7788738
Min length5

Characters and Unicode

Total characters16493
Distinct characters30
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)14.5%

Sample

1st rowC311018
2nd rowC301001
3rd rowC251094
4th rowC311045
5th rowC161003
ValueCountFrequency (%)
c281004 7
 
0.3%
c271008 7
 
0.3%
sc109 7
 
0.3%
c241001 6
 
0.2%
c301012 6
 
0.2%
c251002 6
 
0.2%
c271001 6
 
0.2%
c271004 6
 
0.2%
sc공원1 6
 
0.2%
c241014 6
 
0.2%
Other values (1026) 2370
97.4%
2023-12-12T18:18:13.779301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3786
23.0%
1 3638
22.1%
2 2245
13.6%
C 1741
10.6%
3 1095
 
6.6%
4 600
 
3.6%
5 583
 
3.5%
S 557
 
3.4%
6 485
 
2.9%
8 472
 
2.9%
Other values (20) 1291
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13730
83.2%
Uppercase Letter 2653
 
16.1%
Other Letter 100
 
0.6%
Lowercase Letter 8
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3786
27.6%
1 3638
26.5%
2 2245
16.4%
3 1095
 
8.0%
4 600
 
4.4%
5 583
 
4.2%
6 485
 
3.5%
8 472
 
3.4%
9 417
 
3.0%
7 409
 
3.0%
Other Letter
ValueCountFrequency (%)
공 44
44.0%
원 44
44.0%
관 2
 
2.0%
리 2
 
2.0%
사 2
 
2.0%
무 2
 
2.0%
소 2
 
2.0%
보 1
 
1.0%
조 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1741
65.6%
S 557
 
21.0%
P 172
 
6.5%
I 95
 
3.6%
T 42
 
1.6%
G 42
 
1.6%
F 4
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
c 4
50.0%
s 4
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13732
83.3%
Latin 2661
 
16.1%
Hangul 100
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3786
27.6%
1 3638
26.5%
2 2245
16.3%
3 1095
 
8.0%
4 600
 
4.4%
5 583
 
4.2%
6 485
 
3.5%
8 472
 
3.4%
9 417
 
3.0%
7 409
 
3.0%
Other values (2) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
C 1741
65.4%
S 557
 
20.9%
P 172
 
6.5%
I 95
 
3.6%
T 42
 
1.6%
G 42
 
1.6%
c 4
 
0.2%
s 4
 
0.2%
F 4
 
0.2%
Hangul
ValueCountFrequency (%)
공 44
44.0%
원 44
44.0%
관 2
 
2.0%
리 2
 
2.0%
사 2
 
2.0%
무 2
 
2.0%
소 2
 
2.0%
보 1
 
1.0%
조 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16393
99.4%
Hangul 100
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3786
23.1%
1 3638
22.2%
2 2245
13.7%
C 1741
10.6%
3 1095
 
6.7%
4 600
 
3.7%
5 583
 
3.6%
S 557
 
3.4%
6 485
 
3.0%
8 472
 
2.9%
Other values (11) 1191
 
7.3%
Hangul
ValueCountFrequency (%)
공 44
44.0%
원 44
44.0%
관 2
 
2.0%
리 2
 
2.0%
사 2
 
2.0%
무 2
 
2.0%
소 2
 
2.0%
보 1
 
1.0%
조 1
 
1.0%

행정동명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8842 
화곡1동
 
132
화곡본동
 
105
우장산동
 
94
방화2동
 
76
Other values (17)
 
751

Length

Max length4
Median length4
Mean length3.9895
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8842
88.4%
화곡1동 132
 
1.3%
화곡본동 105
 
1.1%
우장산동 94
 
0.9%
방화2동 76
 
0.8%
화곡8동 65
 
0.7%
방화1동 63
 
0.6%
등촌3동 57
 
0.6%
등촌2동 56
 
0.6%
방화3동 55
 
0.5%
Other values (12) 455
 
4.5%

Length

2023-12-12T18:18:13.932847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 8842
88.4%
화곡1동 132
 
1.3%
화곡본동 105
 
1.1%
우장산동 94
 
0.9%
방화2동 76
 
0.8%
화곡8동 65
 
0.7%
방화1동 63
 
0.6%
등촌3동 57
 
0.6%
등촌2동 56
 
0.6%
방화3동 55
 
0.5%
Other values (12) 455
 
4.5%

Sample

시설물라벨명칭시설물종류명시설물용도분류명시설물물품구분지번주소명도로명주소명경도위도좌표사용유형분류명시설물상태접속포트시설물설치일센터분류명지구분류명아이콘지아이에스표출여부이전전시설물유형번호인식카메라여부완제품구분비상벨현장단말전화번호비상벨센터단말전화번호관리지역분류명비상벨여부경찰지구대등록일시수정일시행정동분류명행정동씨씨티브이방향각지원여부관리번호행정동명
13430C301029_화곡8동 385-20(고정3) 더부리 어린이공원 방향CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-28 00:31:002019-08-14 18:07:00<NA><NA><NA><NA><NA>
7424C311044_화곡본동 46-148(고정3) 좌측은 청구빌라트 우측은 비둘기공원 방향CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-19 00:31:002019-10-26 12:31:00<NA><NA><NA><NA><NA>
10058C261019_화곡2동 869-63CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-26 00:31:002019-03-06 10:57:00<NA><NA><NA><NA><NA>
15674C181022(SC121) - 마곡중앙5로 마곡중학교 맞은편(보조2줌-택시승강장) (9시 신방화역)CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-03-03 12:32:002019-08-14 18:07:00<NA><NA><NA><NA><NA>
16917C181037(SC105) - 마곡중앙3로 N3(종교 부지) 앞 삼거리CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-03-03 12:32:002019-03-06 10:57:00<NA><NA><NA><NA><NA>
17174C251018(A2044)_화곡1동 424-34CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-28 12:32:002019-03-06 10:57:00<NA><NA><NA><NA><NA>
12330C301015(A4030)_화곡8동 155-18CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-28 00:32:002019-03-06 10:57:00<NA><NA><NA><NA><NA>
18586C281007(A1103)_화곡4동 825-1CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-28 12:32:002019-03-06 10:57:00<NA><NA><NA><NA><NA>
500C311018_화곡본동 29-41CTVPOC방범용화곡본동 29-41까치산로15길 9126.8478237.546830.0Y0<NA>2016-05-01KSG77Y<NA>NS<NA>777002KSGN22016-05-18 02:08:002020-10-14 15:15:001150059000<NA>YC311018<NA>
8195S142004_공항동 67-10 밤비니어린이집CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-19 00:31:002020-01-31 00:31:00<NA><NA><NA><NA><NA>
시설물라벨명칭시설물종류명시설물용도분류명시설물물품구분지번주소명도로명주소명경도위도좌표사용유형분류명시설물상태접속포트시설물설치일센터분류명지구분류명아이콘지아이에스표출여부이전전시설물유형번호인식카메라여부완제품구분비상벨현장단말전화번호비상벨센터단말전화번호관리지역분류명비상벨여부경찰지구대등록일시수정일시행정동분류명행정동씨씨티브이방향각지원여부관리번호행정동명
19305G164004_등촌동 569-1_비상벨EGBEGB앰프(비상벨)<NA><NA>126.86232737.537828<NA>Y0<NA><NA><NA><NA>Y<NA>Y<NA><NA><NA><NA><NA><NA>2020-04-27 09:42:002020-04-27 09:42:00<NA><NA><NA><NA><NA>
6280C251048_화곡1동 350-37 - 카메라 1CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-22 04:58:002019-03-06 10:56:00<NA><NA><NA><NA><NA>
4875P203001_방화1동 266-24 쌈지어린이공원(녹지과)CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-19 00:31:002019-03-06 10:56:00<NA><NA><NA><NA><NA>
13983C251065_화곡1동 1086-24(고정3) 강서중앙시장재건축방향CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-26 00:31:002019-12-22 00:31:00<NA><NA><NA><NA><NA>
9803C271006(A1092)_화곡3동 1042-16(보조1) 화곡로13나길 10-16 방향CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-26 00:31:002019-10-15 14:43:00<NA><NA><NA><NA><NA>
10328C151019_등촌1동 633-38(고정3) (7시 동우빌딩앞 삼거리)CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-24 12:31:002019-08-14 18:07:00<NA><NA><NA><NA><NA>
20221C151004_등촌1동 654-4(보조1) (5시 참사랑교회)CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-03-06 14:05:002019-08-14 18:07:00<NA><NA><NA><NA><NA>
12992S232001(A1067)_(스쿨존)염창동 269(염창초등학교)CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-28 12:32:002019-03-06 10:57:00<NA><NA><NA><NA><NA>
811A2007_(도로방범)송정초교 - 카메라 1CTVPOC방범용공항동22-16공항대로3길18126.81042537.5628130.0D0<NA><NA>KSG77Y<NA>NS112007777002KSG<NA>42015-05-15 00:01:002016-10-18 17:38:00<NA><NA>N<NA><NA>
14456C251018(A2044)_화곡1동 424-34CTVPOC방범용<NA><NA><NA><NA><NA>D0<NA><NA>MGD341Y<NA>N<NA><NA><NA>MG<NA><NA>2019-02-26 00:31:002019-03-06 10:57:00<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시설물라벨명칭시설물종류명시설물용도분류명시설물물품구분지번주소명도로명주소명경도위도좌표사용유형분류명시설물상태시설물설치일센터분류명지구분류명아이콘지아이에스표출여부번호인식카메라여부완제품구분비상벨현장단말전화번호비상벨센터단말전화번호관리지역분류명비상벨여부경찰지구대등록일시수정일시행정동분류명행정동씨씨티브이방향각지원여부관리번호행정동명# duplicates
0A1021_공항대로 491_백석 초등학교 정문 - 폴POLPOL폴등촌1동 650-14 백석초등학교공항대로 491126.8613337.553030.0Y0<NA>KSG77YNS<NA>777002KSGN<NA>2016-10-17 22:11:002016-12-01 16:25:001150052000<NA>NS152001등촌1동2
1A1064_금낭화로 222_삼정 초등학교 정문 - 폴POLPOL폴삼정 초등학교금낭화로 222126.8106637.5796130.0Y0<NA>KSG77YNS<NA>777002KSGN<NA>2016-10-17 22:11:002016-10-18 17:38:00<NA><NA>NS222001방화3동2
2S112001_양천로 329_양천 초등학교 정문 - 폴POLPOL폴양천 초등학교양천로 329126.8400137.569640.0Y0<NA>KSG77YNS<NA>777002KSGN<NA>2016-10-17 22:11:002016-10-18 17:38:00<NA><NA>NS112001가양1동2