Overview

Dataset statistics

Number of variables5
Number of observations405
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.3 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Text4

Dataset

Description서울특별시 용산구 자동심장충격기 현황(자동심장충격기 설치장소, 전화번호, 도로명주소, 지번주소)에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15090473/fileData.do

Alerts

연번 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:30:53.898104
Analysis finished2023-12-12 10:30:54.456615
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct405
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203
Minimum1
Maximum405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T19:30:54.539775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.2
Q1102
median203
Q3304
95-th percentile384.8
Maximum405
Range404
Interquartile range (IQR)202

Descriptive statistics

Standard deviation117.05768
Coefficient of variation (CV)0.57663881
Kurtosis-1.2
Mean203
Median Absolute Deviation (MAD)101
Skewness0
Sum82215
Variance13702.5
MonotonicityStrictly increasing
2023-12-12T19:30:54.965501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
268 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
271 1
 
0.2%
Other values (395) 395
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%
397 1
0.2%
396 1
0.2%

설치장소
Text

UNIQUE 

Distinct405
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T19:30:55.239655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length22.054321
Min length12

Characters and Unicode

Total characters8932
Distinct characters385
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)100.0%

Sample

1st rowN서울타워 (전망대(5층 연결계단 부근)구호함)
2nd row용산구청 민원여권과 (용산구청 민원여권과 로비)
3rd row용산구 치매안심센터 (치매안심센터 안내데스크 옆)
4th row용산구보건소 (6층 중앙통로)
5th row용산구보건소 (보건소 지하1층 건강관리센터 내)
ValueCountFrequency (%)
1층 71
 
4.4%
내 56
 
3.5%
입구 33
 
2.0%
앞 33
 
2.0%
주)아모레퍼시픽 32
 
2.0%
홀 26
 
1.6%
엘리베이터 25
 
1.5%
옆 22
 
1.4%
국방부 21
 
1.3%
엘지유플러스(용산사옥 21
 
1.3%
Other values (652) 1282
79.0%
2023-12-12T19:30:55.670818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1217
 
13.6%
( 535
 
6.0%
) 535
 
6.0%
층 193
 
2.2%
1 188
 
2.1%
산 176
 
2.0%
용 172
 
1.9%
구 147
 
1.6%
관 143
 
1.6%
터 125
 
1.4%
Other values (375) 5501
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6038
67.6%
Space Separator 1217
 
13.6%
Open Punctuation 535
 
6.0%
Close Punctuation 535
 
6.0%
Decimal Number 471
 
5.3%
Uppercase Letter 106
 
1.2%
Other Punctuation 12
 
0.1%
Dash Punctuation 10
 
0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 193
 
3.2%
산 176
 
2.9%
용 172
 
2.8%
구 147
 
2.4%
관 143
 
2.4%
터 125
 
2.1%
실 112
 
1.9%
사 111
 
1.8%
주 105
 
1.7%
지 103
 
1.7%
Other values (332) 4651
77.0%
Uppercase Letter
ValueCountFrequency (%)
F 32
30.2%
B 29
27.4%
C 8
 
7.5%
S 4
 
3.8%
T 4
 
3.8%
K 3
 
2.8%
I 3
 
2.8%
M 3
 
2.8%
D 2
 
1.9%
V 2
 
1.9%
Other values (10) 16
15.1%
Decimal Number
ValueCountFrequency (%)
1 188
39.9%
2 68
 
14.4%
4 47
 
10.0%
3 43
 
9.1%
6 32
 
6.8%
0 23
 
4.9%
5 22
 
4.7%
7 17
 
3.6%
9 17
 
3.6%
8 14
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
' 2
 
16.7%
: 1
 
8.3%
/ 1
 
8.3%
？ 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
o 1
25.0%
a 1
25.0%
Space Separator
ValueCountFrequency (%)
1217
100.0%
Open Punctuation
ValueCountFrequency (%)
( 535
100.0%
Close Punctuation
ValueCountFrequency (%)
) 535
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6038
67.6%
Common 2784
31.2%
Latin 110
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 193
 
3.2%
산 176
 
2.9%
용 172
 
2.8%
구 147
 
2.4%
관 143
 
2.4%
터 125
 
2.1%
실 112
 
1.9%
사 111
 
1.8%
주 105
 
1.7%
지 103
 
1.7%
Other values (332) 4651
77.0%
Latin
ValueCountFrequency (%)
F 32
29.1%
B 29
26.4%
C 8
 
7.3%
S 4
 
3.6%
T 4
 
3.6%
K 3
 
2.7%
I 3
 
2.7%
M 3
 
2.7%
D 2
 
1.8%
V 2
 
1.8%
Other values (13) 20
18.2%
Common
ValueCountFrequency (%)
1217
43.7%
( 535
19.2%
) 535
19.2%
1 188
 
6.8%
2 68
 
2.4%
4 47
 
1.7%
3 43
 
1.5%
6 32
 
1.1%
0 23
 
0.8%
5 22
 
0.8%
Other values (10) 74
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6038
67.6%
ASCII 2893
32.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1217
42.1%
( 535
18.5%
) 535
18.5%
1 188
 
6.5%
2 68
 
2.4%
4 47
 
1.6%
3 43
 
1.5%
F 32
 
1.1%
6 32
 
1.1%
B 29
 
1.0%
Other values (32) 167
 
5.8%
Hangul
ValueCountFrequency (%)
층 193
 
3.2%
산 176
 
2.9%
용 172
 
2.8%
구 147
 
2.4%
관 143
 
2.4%
터 125
 
2.1%
실 112
 
1.9%
사 111
 
1.8%
주 105
 
1.7%
지 103
 
1.7%
Other values (332) 4651
77.0%
None
ValueCountFrequency (%)
？ 1
100.0%

전화번호
Text

Distinct216
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T19:30:55.923263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.706173
Min length11

Characters and Unicode

Total characters4741
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)40.0%

Sample

1st row02-3455-9277
2nd row02-2199-6522
3rd row02-790-1541
4th row02-2199-8184
5th row02-2199-8184
ValueCountFrequency (%)
02-6040-5129 32
 
7.9%
070-4080-9279 21
 
5.2%
02-748-1178 18
 
4.4%
02-3149-2540 12
 
3.0%
02-2199-8184 10
 
2.5%
02-3780-5410 9
 
2.2%
02-709-9119 8
 
2.0%
02-6110-4261 6
 
1.5%
02-2223-7530 6
 
1.5%
02-6311-6301 6
 
1.5%
Other values (206) 277
68.4%
2023-12-12T19:30:56.372975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 873
18.4%
- 810
17.1%
2 672
14.2%
1 429
9.0%
7 421
8.9%
9 375
7.9%
4 285
 
6.0%
8 235
 
5.0%
6 230
 
4.9%
3 212
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3931
82.9%
Dash Punctuation 810
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 873
22.2%
2 672
17.1%
1 429
10.9%
7 421
10.7%
9 375
9.5%
4 285
 
7.3%
8 235
 
6.0%
6 230
 
5.9%
3 212
 
5.4%
5 199
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 810
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4741
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 873
18.4%
- 810
17.1%
2 672
14.2%
1 429
9.0%
7 421
8.9%
9 375
7.9%
4 285
 
6.0%
8 235
 
5.0%
6 230
 
4.9%
3 212
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4741
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 873
18.4%
- 810
17.1%
2 672
14.2%
1 429
9.0%
7 421
8.9%
9 375
7.9%
4 285
 
6.0%
8 235
 
5.0%
6 230
 
4.9%
3 212
 
4.5%

도로명주소
Text

Distinct168
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T19:30:56.606113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length18.518519
Min length16

Characters and Unicode

Total characters7500
Distinct characters76
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)25.9%

Sample

1st row서울특별시 용산구 남산공원길 105
2nd row서울특별시 용산구 녹사평대로 150
3rd row서울특별시 용산구 녹사평대로 150
4th row서울특별시 용산구 녹사평대로 150
5th row서울특별시 용산구 녹사평대로 150
ValueCountFrequency (%)
서울특별시 405
25.0%
용산구 405
25.0%
한강대로 99
 
6.1%
이태원로 38
 
2.3%
100 36
 
2.2%
서빙고로 25
 
1.5%
녹사평대로 24
 
1.5%
32 21
 
1.3%
150 19
 
1.2%
청파로 19
 
1.2%
Other values (206) 532
32.8%
2023-12-12T19:30:57.028970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1290
17.2%
서 440
 
5.9%
산 406
 
5.4%
특 405
 
5.4%
별 405
 
5.4%
시 405
 
5.4%
용 405
 
5.4%
구 405
 
5.4%
울 405
 
5.4%
로 404
 
5.4%
Other values (66) 2530
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4950
66.0%
Space Separator 1290
 
17.2%
Decimal Number 1239
 
16.5%
Dash Punctuation 21
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 440
 
8.9%
산 406
 
8.2%
특 405
 
8.2%
별 405
 
8.2%
시 405
 
8.2%
용 405
 
8.2%
구 405
 
8.2%
울 405
 
8.2%
로 404
 
8.2%
대 157
 
3.2%
Other values (54) 1113
22.5%
Decimal Number
ValueCountFrequency (%)
1 216
17.4%
2 185
14.9%
0 166
13.4%
3 142
11.5%
5 132
10.7%
7 101
8.2%
9 98
7.9%
4 91
7.3%
6 57
 
4.6%
8 51
 
4.1%
Space Separator
ValueCountFrequency (%)
1290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4950
66.0%
Common 2550
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 440
 
8.9%
산 406
 
8.2%
특 405
 
8.2%
별 405
 
8.2%
시 405
 
8.2%
용 405
 
8.2%
구 405
 
8.2%
울 405
 
8.2%
로 404
 
8.2%
대 157
 
3.2%
Other values (54) 1113
22.5%
Common
ValueCountFrequency (%)
1290
50.6%
1 216
 
8.5%
2 185
 
7.3%
0 166
 
6.5%
3 142
 
5.6%
5 132
 
5.2%
7 101
 
4.0%
9 98
 
3.8%
4 91
 
3.6%
6 57
 
2.2%
Other values (2) 72
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4950
66.0%
ASCII 2550
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1290
50.6%
1 216
 
8.5%
2 185
 
7.3%
0 166
 
6.5%
3 142
 
5.6%
5 132
 
5.2%
7 101
 
4.0%
9 98
 
3.8%
4 91
 
3.6%
6 57
 
2.2%
Other values (2) 72
 
2.8%
Hangul
ValueCountFrequency (%)
서 440
 
8.9%
산 406
 
8.2%
특 405
 
8.2%
별 405
 
8.2%
시 405
 
8.2%
용 405
 
8.2%
구 405
 
8.2%
울 405
 
8.2%
로 404
 
8.2%
대 157
 
3.2%
Other values (54) 1113
22.5%

지번주소
Text

Distinct163
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T19:30:57.300661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length19.459259
Min length16

Characters and Unicode

Total characters7881
Distinct characters53
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)24.9%

Sample

1st row서울특별시 용산구 용산동2가 산1-3
2nd row서울특별시 용산구 이태원동 34-87
3rd row서울특별시 용산구 이태원동 34-87
4th row서울특별시 용산구 이태원동 34-87
5th row서울특별시 용산구 이태원동 34-87
ValueCountFrequency (%)
용산구 405
25.0%
서울특별시 404
24.9%
한강로3가 58
 
3.6%
한강로2가 53
 
3.3%
이태원동 36
 
2.2%
424 33
 
2.0%
동자동 29
 
1.8%
한남동 29
 
1.8%
이촌동 27
 
1.7%
1 22
 
1.4%
Other values (184) 524
32.3%
2023-12-12T19:30:57.746835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1215
15.4%
산 461
 
5.8%
용 453
 
5.7%
서 426
 
5.4%
구 405
 
5.1%
울 405
 
5.1%
시 404
 
5.1%
별 404
 
5.1%
특 404
 
5.1%
2 304
 
3.9%
Other values (43) 3000
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4706
59.7%
Decimal Number 1687
 
21.4%
Space Separator 1215
 
15.4%
Dash Punctuation 273
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 461
9.8%
용 453
9.6%
서 426
9.1%
구 405
8.6%
울 405
8.6%
시 404
8.6%
별 404
8.6%
특 404
8.6%
동 294
 
6.2%
가 200
 
4.2%
Other values (31) 850
18.1%
Decimal Number
ValueCountFrequency (%)
2 304
18.0%
1 286
17.0%
3 230
13.6%
4 224
13.3%
6 138
8.2%
5 137
8.1%
8 112
 
6.6%
0 110
 
6.5%
9 81
 
4.8%
7 65
 
3.9%
Space Separator
ValueCountFrequency (%)
1215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4706
59.7%
Common 3175
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 461
9.8%
용 453
9.6%
서 426
9.1%
구 405
8.6%
울 405
8.6%
시 404
8.6%
별 404
8.6%
특 404
8.6%
동 294
 
6.2%
가 200
 
4.2%
Other values (31) 850
18.1%
Common
ValueCountFrequency (%)
1215
38.3%
2 304
 
9.6%
1 286
 
9.0%
- 273
 
8.6%
3 230
 
7.2%
4 224
 
7.1%
6 138
 
4.3%
5 137
 
4.3%
8 112
 
3.5%
0 110
 
3.5%
Other values (2) 146
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4706
59.7%
ASCII 3175
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1215
38.3%
2 304
 
9.6%
1 286
 
9.0%
- 273
 
8.6%
3 230
 
7.2%
4 224
 
7.1%
6 138
 
4.3%
5 137
 
4.3%
8 112
 
3.5%
0 110
 
3.5%
Other values (2) 146
 
4.6%
Hangul
ValueCountFrequency (%)
산 461
9.8%
용 453
9.6%
서 426
9.1%
구 405
8.6%
울 405
8.6%
시 404
8.6%
별 404
8.6%
특 404
8.6%
동 294
 
6.2%
가 200
 
4.2%
Other values (31) 850
18.1%

Interactions

2023-12-12T19:30:54.207424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T19:30:54.331623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:30:54.421153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번설치장소전화번호도로명주소지번주소
01N서울타워 (전망대(5층 연결계단 부근)구호함)02-3455-9277서울특별시 용산구 남산공원길 105서울특별시 용산구 용산동2가 산1-3
12용산구청 민원여권과 (용산구청 민원여권과 로비)02-2199-6522서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
23용산구 치매안심센터 (치매안심센터 안내데스크 옆)02-790-1541서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
34용산구보건소 (6층 중앙통로)02-2199-8184서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
45용산구보건소 (보건소 지하1층 건강관리센터 내)02-2199-8184서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
56용산구보건소 (4층 재무과 벽면)02-2199-8184서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
67용산구보건소 (3층 중앙통로)02-2199-8184서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
78용산구보건소 (7층 중앙 통로)02-2199-8184서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
89용산구보건소 (8층 중앙 통로)02-2199-8184서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
910용산구보건소 (구급차 70저9584 내)02-2199-8184서울특별시 용산구 녹사평대로 150서울특별시 용산구 이태원동 34-87
연번설치장소전화번호도로명주소지번주소
395396원효로2동주민센터 (주민센터 내)02-2199-8517서울특별시 용산구 효창원로8길 3서울특별시 용산구 산천동 81-1
396397구립용산노인요양원 (3층 간호사 스테이션)02-715-5540서울특별시 용산구 효창원로93길 51서울특별시 용산구 효창동 3-306
397398구립용산노인데이케어 (1층 데이케어 센터 내)02-715-5525서울특별시 용산구 효창원로93길 51서울특별시 용산구 효창동 3-306
398399DB손해보험 동자동사옥(구:게이트웨이 타워) (1층 방재실)02-727-5555서울특별시 용산구 후암로 107서울특별시 용산구 동자동 12
399400후암동주민센터 (주민센터 내)02-2199-8418서울특별시 용산구 후암로 32-6서울특별시 용산구 후암동 244-109
400401용산소방서후암119안전센터 (구급차)02-754-0119서울특별시 용산구 후암로 34서울특별시 용산구 후암동 244-54
401402용중지구대 (1층 지구대 내)02-2198-0118서울특별시 용산구 후암로16나길 17서울특별시 용산구 후암동 244-103
402403영락애니아의집 (본 시설 2층 중앙 의무실)02-754-8507서울특별시 용산구 후암로4길 70서울특별시 용산구 후암동 370
403404영락보린원 (현관 입구 좌측)02-778-8533서울특별시 용산구 후암로4길 70서울특별시 용산구 후암동 370
404405서울특별시 서울역쪽방상담소 (상담소 내)02-3789-5119서울특별시 용산구 후암로57길 35-15서울특별시 용산구 동자동 35-44