Overview

Dataset statistics

Number of variables31
Number of observations9740
Missing cells11747
Missing cells (%)3.9%
Duplicate rows27
Duplicate rows (%)0.3%
Total size in memory2.5 MiB
Average record size in memory264.0 B

Variable types

Text10
Numeric16
Boolean5

Dataset

Description자동제세동기(AED)설치 현황
Author보건복지부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2HRJNNCOR4Q8DUR0NIOP21226817&infSeq=1

Alerts

Dataset has 27 (0.3%) duplicate rowsDuplicates
정제소재지도로명주소 has 3180 (32.6%) missing valuesMissing
월요일가용시작시간 has 229 (2.4%) missing valuesMissing
월요일가용종료시간 has 229 (2.4%) missing valuesMissing
화요일가용시작시간 has 110 (1.1%) missing valuesMissing
화요일가용종료시간 has 110 (1.1%) missing valuesMissing
수요일가용시작시간 has 98 (1.0%) missing valuesMissing
수요일가용종료시간 has 98 (1.0%) missing valuesMissing
금요일가용시작시간 has 114 (1.2%) missing valuesMissing
금요일가용종료시간 has 114 (1.2%) missing valuesMissing
일요일가용종료시간 has 2131 (21.9%) missing valuesMissing
휴일가용시작시간 has 2431 (25.0%) missing valuesMissing
휴일가용종료시간 has 2431 (25.0%) missing valuesMissing
월요일가용시작시간 has 6492 (66.7%) zerosZeros
화요일가용시작시간 has 6492 (66.7%) zerosZeros
수요일가용시작시간 has 6489 (66.6%) zerosZeros
목요일가용시작시간 has 6491 (66.6%) zerosZeros
금요일가용시작시간 has 6493 (66.7%) zerosZeros
휴일가용시작시간 has 6434 (66.1%) zerosZeros

Reproduction

Analysis started2024-05-17 19:16:36.425350
Analysis finished2024-05-17 19:16:42.284044
Duration5.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct6133
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size76.2 KiB
2024-05-18T04:16:42.503111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length9.7980493
Min length3

Characters and Unicode

Total characters95433
Distinct characters667
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4573 ?
Unique (%)47.0%

Sample

1st row중앙인더스피아3차
2nd row롯데쇼핑(주)수원점
3rd row롯데쇼핑(주)수원점
4th row현대아이밸리
5th row서울대공원
ValueCountFrequency (%)
아파트 132
 
1.2%
삼성전자수원사업장 41
 
0.4%
휴먼시아 41
 
0.4%
동수원월드메르디앙 40
 
0.4%
삼성물산(주)에버랜드리조트 37
 
0.3%
의정부경전철 29
 
0.3%
현대모비스(주)의왕연구소 28
 
0.3%
김포골드라인전동차 25
 
0.2%
단국대학교 20
 
0.2%
의정부시설관리공단 20
 
0.2%
Other values (6382) 10288
96.1%
2024-05-18T04:16:43.360533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3537
 
3.7%
3330
 
3.5%
3137
 
3.3%
2853
 
3.0%
1743
 
1.8%
1536
 
1.6%
1521
 
1.6%
1483
 
1.6%
1387
 
1.5%
1344
 
1.4%
Other values (657) 73562
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87197
91.4%
Decimal Number 3109
 
3.3%
Uppercase Letter 1529
 
1.6%
Open Punctuation 1012
 
1.1%
Close Punctuation 1011
 
1.1%
Space Separator 961
 
1.0%
Lowercase Letter 327
 
0.3%
Other Punctuation 130
 
0.1%
Dash Punctuation 118
 
0.1%
Math Symbol 22
 
< 0.1%
Other values (2) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3537
 
4.1%
3330
 
3.8%
3137
 
3.6%
2853
 
3.3%
1743
 
2.0%
1536
 
1.8%
1521
 
1.7%
1483
 
1.7%
1387
 
1.6%
1344
 
1.5%
Other values (586) 65326
74.9%
Uppercase Letter
ValueCountFrequency (%)
L 301
19.7%
H 206
13.5%
S 162
10.6%
C 104
 
6.8%
G 100
 
6.5%
K 100
 
6.5%
B 78
 
5.1%
A 71
 
4.6%
P 62
 
4.1%
D 52
 
3.4%
Other values (14) 293
19.2%
Lowercase Letter
ValueCountFrequency (%)
e 116
35.5%
t 21
 
6.4%
k 21
 
6.4%
s 20
 
6.1%
o 19
 
5.8%
i 17
 
5.2%
r 14
 
4.3%
a 14
 
4.3%
u 13
 
4.0%
h 13
 
4.0%
Other values (11) 59
18.0%
Decimal Number
ValueCountFrequency (%)
1 874
28.1%
2 689
22.2%
3 449
14.4%
4 294
 
9.5%
5 249
 
8.0%
6 139
 
4.5%
7 130
 
4.2%
8 105
 
3.4%
0 92
 
3.0%
9 88
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 75
57.7%
. 28
 
21.5%
& 19
 
14.6%
/ 6
 
4.6%
1
 
0.8%
@ 1
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 1011
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1010
99.9%
] 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 15
68.2%
+ 7
31.8%
Space Separator
ValueCountFrequency (%)
961
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Other Symbol
ValueCountFrequency (%)
13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87210
91.4%
Common 6367
 
6.7%
Latin 1856
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3537
 
4.1%
3330
 
3.8%
3137
 
3.6%
2853
 
3.3%
1743
 
2.0%
1536
 
1.8%
1521
 
1.7%
1483
 
1.7%
1387
 
1.6%
1344
 
1.5%
Other values (587) 65339
74.9%
Latin
ValueCountFrequency (%)
L 301
16.2%
H 206
 
11.1%
S 162
 
8.7%
e 116
 
6.2%
C 104
 
5.6%
G 100
 
5.4%
K 100
 
5.4%
B 78
 
4.2%
A 71
 
3.8%
P 62
 
3.3%
Other values (35) 556
30.0%
Common
ValueCountFrequency (%)
( 1011
15.9%
) 1010
15.9%
961
15.1%
1 874
13.7%
2 689
10.8%
3 449
7.1%
4 294
 
4.6%
5 249
 
3.9%
6 139
 
2.2%
7 130
 
2.0%
Other values (15) 561
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87197
91.4%
ASCII 8222
 
8.6%
None 14
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3537
 
4.1%
3330
 
3.8%
3137
 
3.6%
2853
 
3.3%
1743
 
2.0%
1536
 
1.8%
1521
 
1.7%
1483
 
1.7%
1387
 
1.6%
1344
 
1.5%
Other values (586) 65326
74.9%
ASCII
ValueCountFrequency (%)
( 1011
12.3%
) 1010
12.3%
961
11.7%
1 874
10.6%
2 689
 
8.4%
3 449
 
5.5%
L 301
 
3.7%
4 294
 
3.6%
5 249
 
3.0%
H 206
 
2.5%
Other values (59) 2178
26.5%
None
ValueCountFrequency (%)
13
92.9%
1
 
7.1%
Distinct418
Distinct (%)4.3%
Missing3
Missing (%)< 0.1%
Memory size76.2 KiB
2024-05-18T04:16:43.976382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length6.275855
Min length1

Characters and Unicode

Total characters61108
Distinct characters213
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)2.4%

Sample

1st row나눔테크
2nd row(주)씨유메디컬시스템
3rd row(주)씨유메디컬시스템
4th row나눔테크
5th row미국필립스메디컬시스템
ValueCountFrequency (%)
주)나눔테크 1646
16.1%
나눔테크 1542
15.1%
메디아나 892
 
8.7%
주)메디아나 769
 
7.5%
라디안 565
 
5.5%
주)라디안 541
 
5.3%
주)씨유메디칼시스템 530
 
5.2%
씨유메디칼 375
 
3.7%
필립스 354
 
3.5%
씨유메디칼시스템 325
 
3.2%
Other values (327) 2663
26.1%
2024-05-18T04:16:45.220566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5140
 
8.4%
5076
 
8.3%
4105
 
6.7%
) 4086
 
6.7%
( 4048
 
6.6%
3451
 
5.6%
3336
 
5.5%
3333
 
5.5%
3318
 
5.4%
1842
 
3.0%
Other values (203) 23373
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46427
76.0%
Close Punctuation 4086
 
6.7%
Open Punctuation 4048
 
6.6%
Lowercase Letter 3413
 
5.6%
Uppercase Letter 2371
 
3.9%
Space Separator 467
 
0.8%
Other Symbol 241
 
0.4%
Other Punctuation 24
 
< 0.1%
Decimal Number 18
 
< 0.1%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5140
 
11.1%
5076
 
10.9%
4105
 
8.8%
3451
 
7.4%
3336
 
7.2%
3333
 
7.2%
3318
 
7.1%
1842
 
4.0%
1652
 
3.6%
1650
 
3.6%
Other values (142) 13524
29.1%
Lowercase Letter
ValueCountFrequency (%)
e 526
15.4%
i 450
13.2%
c 327
9.6%
a 286
8.4%
n 278
8.1%
o 234
6.9%
r 205
 
6.0%
s 184
 
5.4%
d 173
 
5.1%
t 170
 
5.0%
Other values (13) 580
17.0%
Uppercase Letter
ValueCountFrequency (%)
I 229
9.7%
N 224
9.4%
A 223
9.4%
L 216
9.1%
H 178
 
7.5%
C 175
 
7.4%
S 167
 
7.0%
D 156
 
6.6%
O 146
 
6.2%
E 124
 
5.2%
Other values (11) 533
22.5%
Decimal Number
ValueCountFrequency (%)
0 3
16.7%
4 3
16.7%
5 3
16.7%
2 3
16.7%
1 2
11.1%
7 2
11.1%
6 1
 
5.6%
9 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 10
41.7%
/ 8
33.3%
, 6
25.0%
Space Separator
ValueCountFrequency (%)
466
99.8%
  1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 4086
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4048
100.0%
Other Symbol
ValueCountFrequency (%)
241
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46658
76.4%
Common 8656
 
14.2%
Latin 5784
 
9.5%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5140
 
11.0%
5076
 
10.9%
4105
 
8.8%
3451
 
7.4%
3336
 
7.1%
3333
 
7.1%
3318
 
7.1%
1842
 
3.9%
1652
 
3.5%
1650
 
3.5%
Other values (138) 13755
29.5%
Latin
ValueCountFrequency (%)
e 526
 
9.1%
i 450
 
7.8%
c 327
 
5.7%
a 286
 
4.9%
n 278
 
4.8%
o 234
 
4.0%
I 229
 
4.0%
N 224
 
3.9%
A 223
 
3.9%
L 216
 
3.7%
Other values (34) 2791
48.3%
Common
ValueCountFrequency (%)
) 4086
47.2%
( 4048
46.8%
466
 
5.4%
- 13
 
0.2%
. 10
 
0.1%
/ 8
 
0.1%
, 6
 
0.1%
0 3
 
< 0.1%
4 3
 
< 0.1%
5 3
 
< 0.1%
Other values (6) 10
 
0.1%
Han
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46416
76.0%
ASCII 14439
 
23.6%
None 242
 
0.4%
CJK 10
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5140
 
11.1%
5076
 
10.9%
4105
 
8.8%
3451
 
7.4%
3336
 
7.2%
3333
 
7.2%
3318
 
7.1%
1842
 
4.0%
1652
 
3.6%
1650
 
3.6%
Other values (136) 13513
29.1%
ASCII
ValueCountFrequency (%)
) 4086
28.3%
( 4048
28.0%
e 526
 
3.6%
466
 
3.2%
i 450
 
3.1%
c 327
 
2.3%
a 286
 
2.0%
n 278
 
1.9%
o 234
 
1.6%
I 229
 
1.6%
Other values (49) 3509
24.3%
None
ValueCountFrequency (%)
241
99.6%
  1
 
0.4%
CJK
ValueCountFrequency (%)
2
20.0%
2
20.0%
2
20.0%
2
20.0%
2
20.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct6602
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size76.2 KiB
2024-05-18T04:16:45.846143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length9.5309035
Min length1

Characters and Unicode

Total characters92831
Distinct characters660
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6075 ?
Unique (%)62.4%

Sample

1st row본동 2층 엘리베이터옆
2nd row롯데몰 1층 Gate 2
3rd row5층 문화홀입구
4th row본동 1층 출입문에서 직진 5m
5th row동물원코뿔소식당
ValueCountFrequency (%)
1층 1963
 
8.6%
관리사무소 1120
 
4.9%
862
 
3.8%
입구 615
 
2.7%
583
 
2.6%
경비실 504
 
2.2%
로비 471
 
2.1%
448
 
2.0%
2층 416
 
1.8%
관리동 330
 
1.4%
Other values (5377) 15545
68.0%
2024-05-18T04:16:47.041371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13139
 
14.2%
1 4231
 
4.6%
3606
 
3.9%
3504
 
3.8%
2450
 
2.6%
2274
 
2.4%
2249
 
2.4%
2172
 
2.3%
1931
 
2.1%
1822
 
2.0%
Other values (650) 55453
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66235
71.4%
Space Separator 13139
 
14.2%
Decimal Number 10059
 
10.8%
Uppercase Letter 1292
 
1.4%
Close Punctuation 687
 
0.7%
Open Punctuation 684
 
0.7%
Other Punctuation 293
 
0.3%
Lowercase Letter 247
 
0.3%
Dash Punctuation 125
 
0.1%
Math Symbol 69
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3606
 
5.4%
3504
 
5.3%
2450
 
3.7%
2274
 
3.4%
2249
 
3.4%
2172
 
3.3%
1931
 
2.9%
1822
 
2.8%
1781
 
2.7%
1709
 
2.6%
Other values (574) 42737
64.5%
Uppercase Letter
ValueCountFrequency (%)
B 214
16.6%
A 178
13.8%
F 124
9.6%
E 104
 
8.0%
P 78
 
6.0%
C 71
 
5.5%
T 67
 
5.2%
G 63
 
4.9%
S 55
 
4.3%
L 52
 
4.0%
Other values (16) 286
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 48
19.4%
o 29
11.7%
m 26
10.5%
a 24
9.7%
t 20
8.1%
r 20
8.1%
k 10
 
4.0%
i 9
 
3.6%
c 8
 
3.2%
n 8
 
3.2%
Other values (13) 45
18.2%
Decimal Number
ValueCountFrequency (%)
1 4231
42.1%
2 1546
 
15.4%
3 891
 
8.9%
0 881
 
8.8%
4 689
 
6.8%
5 495
 
4.9%
7 422
 
4.2%
6 385
 
3.8%
8 267
 
2.7%
9 252
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 156
53.2%
/ 71
24.2%
# 24
 
8.2%
. 17
 
5.8%
& 9
 
3.1%
: 6
 
2.0%
· 5
 
1.7%
@ 3
 
1.0%
* 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 686
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 683
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
13139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Math Symbol
ValueCountFrequency (%)
~ 69
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66235
71.4%
Common 25056
 
27.0%
Latin 1540
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3606
 
5.4%
3504
 
5.3%
2450
 
3.7%
2274
 
3.4%
2249
 
3.4%
2172
 
3.3%
1931
 
2.9%
1822
 
2.8%
1781
 
2.7%
1709
 
2.6%
Other values (574) 42737
64.5%
Latin
ValueCountFrequency (%)
B 214
13.9%
A 178
 
11.6%
F 124
 
8.1%
E 104
 
6.8%
P 78
 
5.1%
C 71
 
4.6%
T 67
 
4.4%
G 63
 
4.1%
S 55
 
3.6%
L 52
 
3.4%
Other values (40) 534
34.7%
Common
ValueCountFrequency (%)
13139
52.4%
1 4231
 
16.9%
2 1546
 
6.2%
3 891
 
3.6%
0 881
 
3.5%
4 689
 
2.7%
) 686
 
2.7%
( 683
 
2.7%
5 495
 
2.0%
7 422
 
1.7%
Other values (16) 1393
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66235
71.4%
ASCII 26590
28.6%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13139
49.4%
1 4231
 
15.9%
2 1546
 
5.8%
3 891
 
3.4%
0 881
 
3.3%
4 689
 
2.6%
) 686
 
2.6%
( 683
 
2.6%
5 495
 
1.9%
7 422
 
1.6%
Other values (64) 2927
 
11.0%
Hangul
ValueCountFrequency (%)
3606
 
5.4%
3504
 
5.3%
2450
 
3.7%
2274
 
3.4%
2249
 
3.4%
2172
 
3.3%
1931
 
2.9%
1822
 
2.8%
1781
 
2.7%
1709
 
2.6%
Other values (574) 42737
64.5%
None
ValueCountFrequency (%)
· 5
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Distinct6461
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size76.2 KiB
2024-05-18T04:16:47.860673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length28.979158
Min length15

Characters and Unicode

Total characters282257
Distinct characters648
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5029 ?
Unique (%)51.6%

Sample

1st row경기도 성남시 중원구 상대원동 144-1번지 중앙인더스피아3
2nd row경기도 수원시 권선구 서둔동 381번지 롯데백화점수원점
3rd row경기도 수원시 권선구 서둔동 381번지 롯데백화점수원점
4th row경기도 성남시 중원구 상대원동 223-12번지 현대아이밸리
5th row경기도 과천시 막계동 159-1번지 서울대공원 관리부1층
ValueCountFrequency (%)
경기도 9748
 
17.4%
성남시 868
 
1.5%
화성시 809
 
1.4%
수원시 788
 
1.4%
용인시 758
 
1.3%
고양시 621
 
1.1%
분당구 472
 
0.8%
평택시 452
 
0.8%
안산시 439
 
0.8%
부천시 439
 
0.8%
Other values (10313) 40777
72.6%
2024-05-18T04:16:48.858140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46431
 
16.4%
12314
 
4.4%
10976
 
3.9%
10496
 
3.7%
10419
 
3.7%
10070
 
3.6%
9677
 
3.4%
9615
 
3.4%
1 7252
 
2.6%
4777
 
1.7%
Other values (638) 150230
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192707
68.3%
Space Separator 46431
 
16.4%
Decimal Number 37070
 
13.1%
Dash Punctuation 3612
 
1.3%
Uppercase Letter 1225
 
0.4%
Open Punctuation 352
 
0.1%
Close Punctuation 350
 
0.1%
Lowercase Letter 251
 
0.1%
Other Punctuation 235
 
0.1%
Math Symbol 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12314
 
6.4%
10976
 
5.7%
10496
 
5.4%
10419
 
5.4%
10070
 
5.2%
9677
 
5.0%
9615
 
5.0%
4777
 
2.5%
2970
 
1.5%
2870
 
1.5%
Other values (570) 108523
56.3%
Uppercase Letter
ValueCountFrequency (%)
L 140
11.4%
C 114
 
9.3%
S 105
 
8.6%
K 96
 
7.8%
H 87
 
7.1%
E 74
 
6.0%
I 71
 
5.8%
A 66
 
5.4%
B 64
 
5.2%
G 64
 
5.2%
Other values (16) 344
28.1%
Lowercase Letter
ValueCountFrequency (%)
e 119
47.4%
t 21
 
8.4%
r 14
 
5.6%
c 13
 
5.2%
o 12
 
4.8%
s 11
 
4.4%
a 10
 
4.0%
h 9
 
3.6%
n 9
 
3.6%
u 8
 
3.2%
Other values (8) 25
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 7252
19.6%
2 4337
11.7%
3 3695
10.0%
6 3619
9.8%
5 3440
9.3%
4 3220
8.7%
7 3123
8.4%
0 3047
8.2%
8 2806
 
7.6%
9 2531
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 126
53.6%
. 60
25.5%
& 30
 
12.8%
· 17
 
7.2%
# 1
 
0.4%
/ 1
 
0.4%
Letter Number
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
1
 
16.7%
Space Separator
ValueCountFrequency (%)
46431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3612
100.0%
Open Punctuation
ValueCountFrequency (%)
( 352
100.0%
Close Punctuation
ValueCountFrequency (%)
) 350
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192702
68.3%
Common 88068
31.2%
Latin 1482
 
0.5%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12314
 
6.4%
10976
 
5.7%
10496
 
5.4%
10419
 
5.4%
10070
 
5.2%
9677
 
5.0%
9615
 
5.0%
4777
 
2.5%
2970
 
1.5%
2870
 
1.5%
Other values (567) 108518
56.3%
Latin
ValueCountFrequency (%)
L 140
 
9.4%
e 119
 
8.0%
C 114
 
7.7%
S 105
 
7.1%
K 96
 
6.5%
H 87
 
5.9%
E 74
 
5.0%
I 71
 
4.8%
A 66
 
4.5%
B 64
 
4.3%
Other values (37) 546
36.8%
Common
ValueCountFrequency (%)
46431
52.7%
1 7252
 
8.2%
2 4337
 
4.9%
3 3695
 
4.2%
6 3619
 
4.1%
- 3612
 
4.1%
5 3440
 
3.9%
4 3220
 
3.7%
7 3123
 
3.5%
0 3047
 
3.5%
Other values (11) 6292
 
7.1%
Han
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192702
68.3%
ASCII 89527
31.7%
None 17
 
< 0.1%
Number Forms 6
 
< 0.1%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46431
51.9%
1 7252
 
8.1%
2 4337
 
4.8%
3 3695
 
4.1%
6 3619
 
4.0%
- 3612
 
4.0%
5 3440
 
3.8%
4 3220
 
3.6%
7 3123
 
3.5%
0 3047
 
3.4%
Other values (54) 7751
 
8.7%
Hangul
ValueCountFrequency (%)
12314
 
6.4%
10976
 
5.7%
10496
 
5.4%
10419
 
5.4%
10070
 
5.2%
9677
 
5.0%
9615
 
5.0%
4777
 
2.5%
2970
 
1.5%
2870
 
1.5%
Other values (567) 108518
56.3%
None
ValueCountFrequency (%)
· 17
100.0%
Number Forms
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
1
 
16.7%
CJK
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Distinct4014
Distinct (%)61.2%
Missing3180
Missing (%)32.6%
Memory size76.2 KiB
2024-05-18T04:16:49.432397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length19.285671
Min length13

Characters and Unicode

Total characters126514
Distinct characters400
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3002 ?
Unique (%)45.8%

Sample

1st row경기도 성남시 중원구 사기막골로105번길 27
2nd row경기도 수원시 권선구 세화로 134
3rd row경기도 수원시 권선구 세화로 134
4th row경기도 성남시 중원구 갈마치로244번길 31
5th row경기도 과천시 대공원광장로 102
ValueCountFrequency (%)
경기도 6560
 
21.4%
성남시 583
 
1.9%
화성시 523
 
1.7%
수원시 450
 
1.5%
용인시 430
 
1.4%
안산시 385
 
1.3%
고양시 349
 
1.1%
평택시 331
 
1.1%
부천시 310
 
1.0%
분당구 284
 
0.9%
Other values (3764) 20425
66.7%
2024-05-18T04:16:50.368614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24070
19.0%
6897
 
5.5%
6800
 
5.4%
6796
 
5.4%
6705
 
5.3%
6069
 
4.8%
1 4677
 
3.7%
2 2959
 
2.3%
2847
 
2.3%
3 2511
 
2.0%
Other values (390) 56183
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79903
63.2%
Space Separator 24070
 
19.0%
Decimal Number 21719
 
17.2%
Dash Punctuation 819
 
0.6%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6897
 
8.6%
6800
 
8.5%
6796
 
8.5%
6705
 
8.4%
6069
 
7.6%
2847
 
3.6%
1946
 
2.4%
1669
 
2.1%
1561
 
2.0%
1354
 
1.7%
Other values (377) 37259
46.6%
Decimal Number
ValueCountFrequency (%)
1 4677
21.5%
2 2959
13.6%
3 2511
11.6%
5 2071
9.5%
4 1793
 
8.3%
0 1746
 
8.0%
7 1684
 
7.8%
6 1503
 
6.9%
9 1448
 
6.7%
8 1327
 
6.1%
Space Separator
ValueCountFrequency (%)
24070
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 819
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79903
63.2%
Common 46611
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6897
 
8.6%
6800
 
8.5%
6796
 
8.5%
6705
 
8.4%
6069
 
7.6%
2847
 
3.6%
1946
 
2.4%
1669
 
2.1%
1561
 
2.0%
1354
 
1.7%
Other values (377) 37259
46.6%
Common
ValueCountFrequency (%)
24070
51.6%
1 4677
 
10.0%
2 2959
 
6.3%
3 2511
 
5.4%
5 2071
 
4.4%
4 1793
 
3.8%
0 1746
 
3.7%
7 1684
 
3.6%
6 1503
 
3.2%
9 1448
 
3.1%
Other values (3) 2149
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79903
63.2%
ASCII 46611
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24070
51.6%
1 4677
 
10.0%
2 2959
 
6.3%
3 2511
 
5.4%
5 2071
 
4.4%
4 1793
 
3.8%
0 1746
 
3.7%
7 1684
 
3.6%
6 1503
 
3.2%
9 1448
 
3.1%
Other values (3) 2149
 
4.6%
Hangul
ValueCountFrequency (%)
6897
 
8.6%
6800
 
8.5%
6796
 
8.5%
6705
 
8.4%
6069
 
7.6%
2847
 
3.6%
1946
 
2.4%
1669
 
2.1%
1561
 
2.0%
1354
 
1.7%
Other values (377) 37259
46.6%

우편번호
Real number (ℝ)

Distinct3302
Distinct (%)34.0%
Missing24
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean14532.246
Minimum10000
Maximum18634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:16:50.805626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10340
Q112521
median14519
Q316845.25
95-th percentile18437
Maximum18634
Range8634
Interquartile range (IQR)4324.25

Descriptive statistics

Standard deviation2580.1868
Coefficient of variation (CV)0.17754908
Kurtosis-1.1880807
Mean14532.246
Median Absolute Deviation (MAD)2235
Skewness-0.093523404
Sum1.411953 × 108
Variance6657364.1
MonotonicityNot monotonic
2024-05-18T04:16:51.415416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16677 44
 
0.5%
16082 41
 
0.4%
11801 41
 
0.4%
16493 40
 
0.4%
17023 38
 
0.4%
17786 36
 
0.4%
14446 28
 
0.3%
10045 27
 
0.3%
10893 27
 
0.3%
15002 26
 
0.3%
Other values (3292) 9368
96.2%
ValueCountFrequency (%)
10000 1
 
< 0.1%
10003 1
 
< 0.1%
10005 1
 
< 0.1%
10008 2
 
< 0.1%
10011 2
 
< 0.1%
10012 1
 
< 0.1%
10016 1
 
< 0.1%
10017 7
0.1%
10018 1
 
< 0.1%
10019 3
< 0.1%
ValueCountFrequency (%)
18634 1
 
< 0.1%
18630 2
 
< 0.1%
18627 2
 
< 0.1%
18626 2
 
< 0.1%
18624 1
 
< 0.1%
18623 6
0.1%
18622 7
0.1%
18621 2
 
< 0.1%
18616 1
 
< 0.1%
18615 5
0.1%

경도
Real number (ℝ)

Distinct5969
Distinct (%)61.6%
Missing53
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean127.01723
Minimum126.53807
Maximum127.79736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:16:51.832618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53807
5-th percentile126.73328
Q1126.84714
median127.04213
Q3127.12873
95-th percentile127.39772
Maximum127.79736
Range1.2592841
Interquartile range (IQR)0.28159052

Descriptive statistics

Standard deviation0.20404169
Coefficient of variation (CV)0.0016064095
Kurtosis0.68708777
Mean127.01723
Median Absolute Deviation (MAD)0.122117
Skewness0.56710325
Sum1230415.9
Variance0.041633012
MonotonicityNot monotonic
2024-05-18T04:16:52.308672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0510530809 44
 
0.5%
126.9525941987 40
 
0.4%
127.0344729683 40
 
0.4%
127.1967269237 37
 
0.4%
127.0938446826 29
 
0.3%
126.6150261429 26
 
0.3%
126.7740169561 21
 
0.2%
127.0815447612 20
 
0.2%
127.0530183723 20
 
0.2%
127.1326070149 20
 
0.2%
Other values (5959) 9390
96.4%
(Missing) 53
 
0.5%
ValueCountFrequency (%)
126.5380713117 1
 
< 0.1%
126.5423285487 2
< 0.1%
126.5521888049 2
< 0.1%
126.5584464158 1
 
< 0.1%
126.5686768408 1
 
< 0.1%
126.5772318425 1
 
< 0.1%
126.5790592929 1
 
< 0.1%
126.5805398397 1
 
< 0.1%
126.5809997341 4
< 0.1%
126.5825369936 1
 
< 0.1%
ValueCountFrequency (%)
127.7973554032 2
< 0.1%
127.7807774627 1
< 0.1%
127.7706997381 1
< 0.1%
127.7705441813 1
< 0.1%
127.7643164459 1
< 0.1%
127.7615213259 1
< 0.1%
127.7556441846 1
< 0.1%
127.754686365 1
< 0.1%
127.7514152513 1
< 0.1%
127.7511801375 1
< 0.1%

위도
Real number (ℝ)

Distinct5969
Distinct (%)61.6%
Missing53
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean37.413018
Minimum36.923333
Maximum38.211828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:16:52.777313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.923333
5-th percentile37.052693
Q137.272564
median37.383256
Q337.573699
95-th percentile37.759544
Maximum38.211828
Range1.2884945
Interquartile range (IQR)0.30113455

Descriptive statistics

Standard deviation0.21402156
Coefficient of variation (CV)0.0057205103
Kurtosis-0.23635879
Mean37.413018
Median Absolute Deviation (MAD)0.12907479
Skewness0.3291288
Sum362419.91
Variance0.045805226
MonotonicityNot monotonic
2024-05-18T04:16:53.216435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2585211593 44
 
0.5%
37.3252061637 40
 
0.4%
37.2809378922 40
 
0.4%
37.2907221232 37
 
0.4%
37.729528975 29
 
0.3%
37.6413633648 26
 
0.3%
37.8098859526 21
 
0.2%
37.2303018745 20
 
0.2%
37.0302907046 20
 
0.2%
37.3194120366 20
 
0.2%
Other values (5959) 9390
96.4%
(Missing) 53
 
0.5%
ValueCountFrequency (%)
36.9233332782 1
 
< 0.1%
36.9387081974 1
 
< 0.1%
36.9395571842 1
 
< 0.1%
36.9397044778 1
 
< 0.1%
36.9434158653 1
 
< 0.1%
36.9448559514 1
 
< 0.1%
36.9506021366 6
0.1%
36.9515354628 1
 
< 0.1%
36.9520581225 1
 
< 0.1%
36.9523591039 8
0.1%
ValueCountFrequency (%)
38.2118277891 1
< 0.1%
38.1841297682 1
< 0.1%
38.15772941 1
< 0.1%
38.1356757787 1
< 0.1%
38.1349712089 1
< 0.1%
38.1169079231 1
< 0.1%
38.1060866853 2
< 0.1%
38.103682183 1
< 0.1%
38.1035057227 1
< 0.1%
38.1013499361 1
< 0.1%
Distinct6000
Distinct (%)61.7%
Missing14
Missing (%)0.1%
Memory size76.2 KiB
2024-05-18T04:16:53.797921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length11.883817
Min length1

Characters and Unicode

Total characters115582
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4413 ?
Unique (%)45.4%

Sample

1st row0317205516
2nd row03180662500
3rd row03180662500
4th row0317379115
5th row02-500-7829
ValueCountFrequency (%)
031-200-9119 41
 
0.4%
031-216-0550 40
 
0.4%
031-320-5118 37
 
0.4%
031-820-1019 29
 
0.3%
031-80866255 28
 
0.3%
031-8048-1500 25
 
0.3%
031-390-8961 24
 
0.2%
031-8005-2111 20
 
0.2%
0318286881 20
 
0.2%
031-982-0880 20
 
0.2%
Other values (5990) 9442
97.1%
2024-05-18T04:16:54.952801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19083
16.5%
- 17608
15.2%
1 15487
13.4%
3 15055
13.0%
2 8125
7.0%
8 7472
 
6.5%
7 7337
 
6.3%
5 6603
 
5.7%
9 6507
 
5.6%
6 6380
 
5.5%
Other values (2) 5925
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97973
84.8%
Dash Punctuation 17608
 
15.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19083
19.5%
1 15487
15.8%
3 15055
15.4%
2 8125
8.3%
8 7472
 
7.6%
7 7337
 
7.5%
5 6603
 
6.7%
9 6507
 
6.6%
6 6380
 
6.5%
4 5924
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 17608
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115582
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19083
16.5%
- 17608
15.2%
1 15487
13.4%
3 15055
13.0%
2 8125
7.0%
8 7472
 
6.5%
7 7337
 
6.3%
5 6603
 
5.7%
9 6507
 
5.6%
6 6380
 
5.5%
Other values (2) 5925
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115582
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19083
16.5%
- 17608
15.2%
1 15487
13.4%
3 15055
13.0%
2 8125
7.0%
8 7472
 
6.5%
7 7337
 
6.3%
5 6603
 
5.7%
9 6507
 
5.6%
6 6380
 
5.5%
Other values (2) 5925
 
5.1%
Distinct6633
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size76.2 KiB
2024-05-18T04:16:55.564347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length52
Mean length31.890349
Min length14

Characters and Unicode

Total characters310612
Distinct characters683
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5274 ?
Unique (%)54.1%

Sample

1st row경기도 성남시 중원구 사기막골로105번길 27, 중앙인더스피아3 (상대원동)
2nd row경기도 수원시 권선구 세화로 134 (서둔동) 롯데백화점 수원점
3rd row경기도 수원시 권선구 세화로 134 (서둔동) 롯데백화점 수원점
4th row경기도 성남시 중원구 갈마치로244번길 31, 현대아이밸리 (상대원동)
5th row경기도 과천시 대공원광장로 102 서울대공원 관리부1층
ValueCountFrequency (%)
경기도 9749
 
15.8%
성남시 869
 
1.4%
화성시 811
 
1.3%
수원시 788
 
1.3%
용인시 758
 
1.2%
고양시 621
 
1.0%
분당구 472
 
0.8%
평택시 452
 
0.7%
안산시 439
 
0.7%
부천시 439
 
0.7%
Other values (10779) 46310
75.0%
2024-05-18T04:16:56.678143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52620
 
16.9%
11070
 
3.6%
10687
 
3.4%
10566
 
3.4%
10373
 
3.3%
9379
 
3.0%
9318
 
3.0%
1 7587
 
2.4%
( 7469
 
2.4%
) 7465
 
2.4%
Other values (673) 174078
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199046
64.1%
Space Separator 52620
 
16.9%
Decimal Number 34576
 
11.1%
Open Punctuation 7469
 
2.4%
Close Punctuation 7465
 
2.4%
Other Punctuation 6869
 
2.2%
Uppercase Letter 1151
 
0.4%
Dash Punctuation 1149
 
0.4%
Lowercase Letter 241
 
0.1%
Math Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11070
 
5.6%
10687
 
5.4%
10566
 
5.3%
10373
 
5.2%
9379
 
4.7%
9318
 
4.7%
4422
 
2.2%
3130
 
1.6%
2951
 
1.5%
2940
 
1.5%
Other values (603) 124210
62.4%
Uppercase Letter
ValueCountFrequency (%)
L 126
 
10.9%
C 114
 
9.9%
S 95
 
8.3%
K 88
 
7.6%
H 75
 
6.5%
A 70
 
6.1%
E 66
 
5.7%
B 63
 
5.5%
G 62
 
5.4%
I 60
 
5.2%
Other values (16) 332
28.8%
Lowercase Letter
ValueCountFrequency (%)
e 109
45.2%
t 21
 
8.7%
r 14
 
5.8%
c 13
 
5.4%
o 12
 
5.0%
s 11
 
4.6%
a 10
 
4.1%
n 9
 
3.7%
h 9
 
3.7%
u 8
 
3.3%
Other values (8) 25
 
10.4%
Decimal Number
ValueCountFrequency (%)
1 7587
21.9%
2 4946
14.3%
3 3941
11.4%
5 3170
9.2%
0 2865
 
8.3%
4 2838
 
8.2%
7 2562
 
7.4%
6 2516
 
7.3%
9 2130
 
6.2%
8 2021
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 6763
98.5%
. 59
 
0.9%
& 25
 
0.4%
· 17
 
0.2%
' 2
 
< 0.1%
# 1
 
< 0.1%
@ 1
 
< 0.1%
/ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
1
 
16.7%
Space Separator
ValueCountFrequency (%)
52620
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7465
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1149
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199041
64.1%
Common 110168
35.5%
Latin 1398
 
0.5%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11070
 
5.6%
10687
 
5.4%
10566
 
5.3%
10373
 
5.2%
9379
 
4.7%
9318
 
4.7%
4422
 
2.2%
3130
 
1.6%
2951
 
1.5%
2940
 
1.5%
Other values (600) 124205
62.4%
Latin
ValueCountFrequency (%)
L 126
 
9.0%
C 114
 
8.2%
e 109
 
7.8%
S 95
 
6.8%
K 88
 
6.3%
H 75
 
5.4%
A 70
 
5.0%
E 66
 
4.7%
B 63
 
4.5%
G 62
 
4.4%
Other values (37) 530
37.9%
Common
ValueCountFrequency (%)
52620
47.8%
1 7587
 
6.9%
( 7469
 
6.8%
) 7465
 
6.8%
, 6763
 
6.1%
2 4946
 
4.5%
3 3941
 
3.6%
5 3170
 
2.9%
0 2865
 
2.6%
4 2838
 
2.6%
Other values (13) 10504
 
9.5%
Han
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199041
64.1%
ASCII 111543
35.9%
None 17
 
< 0.1%
Number Forms 6
 
< 0.1%
CJK 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52620
47.2%
1 7587
 
6.8%
( 7469
 
6.7%
) 7465
 
6.7%
, 6763
 
6.1%
2 4946
 
4.4%
3 3941
 
3.5%
5 3170
 
2.8%
0 2865
 
2.6%
4 2838
 
2.5%
Other values (56) 11879
 
10.6%
Hangul
ValueCountFrequency (%)
11070
 
5.6%
10687
 
5.4%
10566
 
5.3%
10373
 
5.2%
9379
 
4.7%
9318
 
4.7%
4422
 
2.2%
3130
 
1.6%
2951
 
1.5%
2940
 
1.5%
Other values (600) 124205
62.4%
None
ValueCountFrequency (%)
· 17
100.0%
Number Forms
ValueCountFrequency (%)
4
66.7%
1
 
16.7%
1
 
16.7%
CJK
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Distinct5976
Distinct (%)61.4%
Missing11
Missing (%)0.1%
Memory size76.2 KiB
2024-05-18T04:16:57.290898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length12.324905
Min length3

Characters and Unicode

Total characters119909
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4353 ?
Unique (%)44.7%

Sample

1st row031-720-5511
2nd row031-8066-2500
3rd row031-8066-2500
4th row031-737-9115
5th row02-500-7829
ValueCountFrequency (%)
031-200-8119 43
 
0.4%
031-216-0550 40
 
0.4%
031-320-5116 37
 
0.4%
031-820-1019 29
 
0.3%
031-8086-6219 28
 
0.3%
031-390-8961 28
 
0.3%
031-8048-1562 25
 
0.3%
031-8005-2111 20
 
0.2%
031-982-0880 20
 
0.2%
031-828-6881 20
 
0.2%
Other values (5966) 9439
97.0%
2024-05-18T04:16:58.564591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21693
18.1%
- 18725
15.6%
1 16004
13.3%
3 12429
10.4%
2 8527
 
7.1%
8 7862
 
6.6%
7 7436
 
6.2%
5 7030
 
5.9%
9 6878
 
5.7%
6 6822
 
5.7%
Other values (2) 6503
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101180
84.4%
Dash Punctuation 18725
 
15.6%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21693
21.4%
1 16004
15.8%
3 12429
12.3%
2 8527
 
8.4%
8 7862
 
7.8%
7 7436
 
7.3%
5 7030
 
6.9%
9 6878
 
6.8%
6 6822
 
6.7%
4 6499
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 18725
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119909
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21693
18.1%
- 18725
15.6%
1 16004
13.3%
3 12429
10.4%
2 8527
 
7.1%
8 7862
 
6.6%
7 7436
 
6.2%
5 7030
 
5.9%
9 6878
 
5.7%
6 6822
 
5.7%
Other values (2) 6503
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119909
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21693
18.1%
- 18725
15.6%
1 16004
13.3%
3 12429
10.4%
2 8527
 
7.1%
8 7862
 
6.6%
7 7436
 
6.2%
5 7030
 
5.9%
9 6878
 
5.7%
6 6822
 
5.7%
Other values (2) 6503
 
5.4%
Distinct1283
Distinct (%)13.2%
Missing1
Missing (%)< 0.1%
Memory size76.2 KiB
2024-05-18T04:16:59.153577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length10.709929
Min length1

Characters and Unicode

Total characters104304
Distinct characters161
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique761 ?
Unique (%)7.8%

Sample

1st rowNT280
2nd row저출력 심장충격기 i-PAD NF1200
3rd row저출력심장충격기 i- PAD NF1200
4th rowNT280
5th rowHeartstartFRX
ValueCountFrequency (%)
a15-g4 1122
 
7.4%
heart 1122
 
7.4%
hearton 955
 
6.3%
hr-501 741
 
4.9%
cu-sp1 688
 
4.5%
nt-381.c 678
 
4.5%
i-pad 592
 
3.9%
hr-501-b 492
 
3.2%
nf1200 458
 
3.0%
plus 450
 
3.0%
Other values (760) 7935
52.1%
2024-05-18T04:17:00.366158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8319
 
8.0%
1 7286
 
7.0%
e 5862
 
5.6%
5511
 
5.3%
r 5459
 
5.2%
H 5326
 
5.1%
0 5122
 
4.9%
a 5121
 
4.9%
t 4354
 
4.2%
A 3675
 
3.5%
Other values (151) 48269
46.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 33962
32.6%
Lowercase Letter 28445
27.3%
Decimal Number 23474
22.5%
Dash Punctuation 8319
 
8.0%
Space Separator 5511
 
5.3%
Other Letter 2832
 
2.7%
Other Punctuation 1527
 
1.5%
Close Punctuation 104
 
0.1%
Open Punctuation 104
 
0.1%
Math Symbol 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
323
11.4%
290
10.2%
286
10.1%
282
10.0%
282
10.0%
252
8.9%
251
8.9%
246
8.7%
80
 
2.8%
48
 
1.7%
Other values (74) 492
17.4%
Lowercase Letter
ValueCountFrequency (%)
e 5862
20.6%
r 5459
19.2%
a 5121
18.0%
t 4354
15.3%
n 1798
 
6.3%
p 818
 
2.9%
i 816
 
2.9%
u 778
 
2.7%
s 674
 
2.4%
o 610
 
2.1%
Other values (16) 2155
 
7.6%
Uppercase Letter
ValueCountFrequency (%)
H 5326
15.7%
A 3675
10.8%
N 3104
9.1%
T 2694
7.9%
P 2487
 
7.3%
R 2394
 
7.0%
S 2190
 
6.4%
G 1965
 
5.8%
C 1732
 
5.1%
O 1711
 
5.0%
Other values (16) 6684
19.7%
Decimal Number
ValueCountFrequency (%)
1 7286
31.0%
0 5122
21.8%
5 3274
13.9%
3 2399
 
10.2%
8 2357
 
10.0%
4 1502
 
6.4%
2 1191
 
5.1%
6 229
 
1.0%
9 60
 
0.3%
7 54
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 1449
94.9%
/ 50
 
3.3%
, 21
 
1.4%
6
 
0.4%
' 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 14
73.7%
~ 4
 
21.1%
= 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 103
99.0%
] 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 103
99.0%
[ 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 8319
100.0%
Space Separator
ValueCountFrequency (%)
5511
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 62407
59.8%
Common 39065
37.5%
Hangul 2832
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
323
11.4%
290
10.2%
286
10.1%
282
10.0%
282
10.0%
252
8.9%
251
8.9%
246
8.7%
80
 
2.8%
48
 
1.7%
Other values (74) 492
17.4%
Latin
ValueCountFrequency (%)
e 5862
 
9.4%
r 5459
 
8.7%
H 5326
 
8.5%
a 5121
 
8.2%
t 4354
 
7.0%
A 3675
 
5.9%
N 3104
 
5.0%
T 2694
 
4.3%
P 2487
 
4.0%
R 2394
 
3.8%
Other values (42) 21931
35.1%
Common
ValueCountFrequency (%)
- 8319
21.3%
1 7286
18.7%
5511
14.1%
0 5122
13.1%
5 3274
 
8.4%
3 2399
 
6.1%
8 2357
 
6.0%
4 1502
 
3.8%
. 1449
 
3.7%
2 1191
 
3.0%
Other values (15) 655
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101466
97.3%
Hangul 2831
 
2.7%
None 6
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8319
 
8.2%
1 7286
 
7.2%
e 5862
 
5.8%
5511
 
5.4%
r 5459
 
5.4%
H 5326
 
5.2%
0 5122
 
5.0%
a 5121
 
5.0%
t 4354
 
4.3%
A 3675
 
3.6%
Other values (66) 45431
44.8%
Hangul
ValueCountFrequency (%)
323
11.4%
290
10.2%
286
10.1%
282
10.0%
282
10.0%
252
8.9%
251
8.9%
246
8.7%
80
 
2.8%
48
 
1.7%
Other values (73) 491
17.3%
None
ValueCountFrequency (%)
6
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

월요일가용시작시간
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)0.5%
Missing229
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean260.0633
Minimum0
Maximum1800
Zeros6492
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:00.778111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3700
95-th percentile900
Maximum1800
Range1800
Interquartile range (IQR)700

Descriptive statistics

Standard deviation389.46034
Coefficient of variation (CV)1.4975598
Kurtosis-1.0631527
Mean260.0633
Median Absolute Deviation (MAD)0
Skewness0.89754028
Sum2473462
Variance151679.36
MonotonicityNot monotonic
2024-05-18T04:17:01.247054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 6492
66.7%
900 1557
 
16.0%
800 279
 
2.9%
600 234
 
2.4%
700 207
 
2.1%
830 204
 
2.1%
840 153
 
1.6%
500 96
 
1.0%
1000 80
 
0.8%
530 56
 
0.6%
Other values (34) 153
 
1.6%
(Missing) 229
 
2.4%
ValueCountFrequency (%)
0 6492
66.7%
6 1
 
< 0.1%
9 2
 
< 0.1%
100 2
 
< 0.1%
200 1
 
< 0.1%
300 4
 
< 0.1%
301 1
 
< 0.1%
400 11
 
0.1%
425 7
 
0.1%
430 22
 
0.2%
ValueCountFrequency (%)
1800 1
 
< 0.1%
1630 1
 
< 0.1%
1600 1
 
< 0.1%
1500 1
 
< 0.1%
1400 1
 
< 0.1%
1300 3
 
< 0.1%
1100 7
 
0.1%
1030 17
 
0.2%
1000 80
0.8%
940 1
 
< 0.1%

월요일가용종료시간
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)0.6%
Missing229
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2234.7888
Minimum1
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:01.686643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1700
Q12200
median2400
Q32400
95-th percentile2400
Maximum3000
Range2999
Interquartile range (IQR)200

Descriptive statistics

Standard deviation287.59024
Coefficient of variation (CV)0.12868788
Kurtosis4.5681525
Mean2234.7888
Median Absolute Deviation (MAD)0
Skewness-1.7473861
Sum21255076
Variance82708.146
MonotonicityNot monotonic
2024-05-18T04:17:02.075722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 6549
67.2%
1800 1265
 
13.0%
2200 327
 
3.4%
1700 321
 
3.3%
1630 165
 
1.7%
1640 160
 
1.6%
2100 133
 
1.4%
1730 95
 
1.0%
2300 88
 
0.9%
2000 63
 
0.6%
Other values (43) 345
 
3.5%
(Missing) 229
 
2.4%
ValueCountFrequency (%)
1 13
 
0.1%
801 3
 
< 0.1%
1000 1
 
< 0.1%
1130 1
 
< 0.1%
1200 9
 
0.1%
1230 4
 
< 0.1%
1500 5
 
0.1%
1600 37
0.4%
1610 1
 
< 0.1%
1620 4
 
< 0.1%
ValueCountFrequency (%)
3000 1
 
< 0.1%
2800 1
 
< 0.1%
2700 3
 
< 0.1%
2600 4
 
< 0.1%
2510 1
 
< 0.1%
2500 31
0.3%
2450 8
 
0.1%
2440 5
 
0.1%
2430 43
0.4%
2425 1
 
< 0.1%

화요일가용시작시간
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.5%
Missing110
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean267.52264
Minimum0
Maximum1800
Zeros6492
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:02.463497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3800
95-th percentile900
Maximum1800
Range1800
Interquartile range (IQR)800

Descriptive statistics

Standard deviation392.96557
Coefficient of variation (CV)1.4689058
Kurtosis-1.1363746
Mean267.52264
Median Absolute Deviation (MAD)0
Skewness0.8559453
Sum2576243
Variance154421.94
MonotonicityNot monotonic
2024-05-18T04:17:02.874359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 6492
66.7%
900 1618
 
16.6%
800 288
 
3.0%
600 248
 
2.5%
700 217
 
2.2%
830 204
 
2.1%
840 152
 
1.6%
500 96
 
1.0%
1000 91
 
0.9%
530 56
 
0.6%
Other values (35) 168
 
1.7%
(Missing) 110
 
1.1%
ValueCountFrequency (%)
0 6492
66.7%
6 1
 
< 0.1%
9 2
 
< 0.1%
100 2
 
< 0.1%
200 1
 
< 0.1%
300 3
 
< 0.1%
301 1
 
< 0.1%
400 11
 
0.1%
425 7
 
0.1%
430 22
 
0.2%
ValueCountFrequency (%)
1800 1
 
< 0.1%
1630 1
 
< 0.1%
1600 1
 
< 0.1%
1500 1
 
< 0.1%
1400 1
 
< 0.1%
1300 5
 
0.1%
1100 6
 
0.1%
1030 17
 
0.2%
1000 91
0.9%
940 1
 
< 0.1%

화요일가용종료시간
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)0.6%
Missing110
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean2233.7852
Minimum1
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:03.228860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1700
Q12100
median2400
Q32400
95-th percentile2400
Maximum3000
Range2999
Interquartile range (IQR)300

Descriptive statistics

Standard deviation281.67959
Coefficient of variation (CV)0.12609968
Kurtosis2.6252811
Mean2233.7852
Median Absolute Deviation (MAD)0
Skewness-1.523961
Sum21511351
Variance79343.391
MonotonicityNot monotonic
2024-05-18T04:17:03.644243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 6547
67.2%
1800 1287
 
13.2%
2200 370
 
3.8%
1700 326
 
3.3%
1630 165
 
1.7%
2100 164
 
1.7%
1640 158
 
1.6%
1730 110
 
1.1%
2300 98
 
1.0%
2000 65
 
0.7%
Other values (43) 340
 
3.5%
(Missing) 110
 
1.1%
ValueCountFrequency (%)
1 7
 
0.1%
801 3
 
< 0.1%
1000 1
 
< 0.1%
1200 10
 
0.1%
1230 2
 
< 0.1%
1500 4
 
< 0.1%
1600 37
 
0.4%
1610 1
 
< 0.1%
1620 5
 
0.1%
1630 165
1.7%
ValueCountFrequency (%)
3000 1
 
< 0.1%
2800 1
 
< 0.1%
2700 3
 
< 0.1%
2600 4
 
< 0.1%
2510 1
 
< 0.1%
2500 31
0.3%
2450 8
 
0.1%
2440 5
 
0.1%
2430 43
0.4%
2425 1
 
< 0.1%

수요일가용시작시간
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)0.5%
Missing98
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean268.58971
Minimum0
Maximum1800
Zeros6489
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:03.976848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3800
95-th percentile900
Maximum1800
Range1800
Interquartile range (IQR)800

Descriptive statistics

Standard deviation393.58199
Coefficient of variation (CV)1.4653651
Kurtosis-1.1389938
Mean268.58971
Median Absolute Deviation (MAD)0
Skewness0.85200895
Sum2589742
Variance154906.78
MonotonicityNot monotonic
2024-05-18T04:17:04.470537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 6489
66.6%
900 1631
 
16.7%
800 287
 
2.9%
600 251
 
2.6%
700 217
 
2.2%
830 205
 
2.1%
840 152
 
1.6%
500 96
 
1.0%
1000 90
 
0.9%
530 56
 
0.6%
Other values (34) 168
 
1.7%
(Missing) 98
 
1.0%
ValueCountFrequency (%)
0 6489
66.6%
6 1
 
< 0.1%
9 2
 
< 0.1%
100 2
 
< 0.1%
200 1
 
< 0.1%
300 3
 
< 0.1%
301 1
 
< 0.1%
400 11
 
0.1%
425 7
 
0.1%
430 22
 
0.2%
ValueCountFrequency (%)
1800 1
 
< 0.1%
1630 1
 
< 0.1%
1600 1
 
< 0.1%
1500 1
 
< 0.1%
1400 3
 
< 0.1%
1300 5
 
0.1%
1100 6
 
0.1%
1030 17
 
0.2%
1000 90
0.9%
940 1
 
< 0.1%

수요일가용종료시간
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)0.6%
Missing98
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean2233.6463
Minimum1
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:04.872694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1700
Q12100
median2400
Q32400
95-th percentile2400
Maximum3000
Range2999
Interquartile range (IQR)300

Descriptive statistics

Standard deviation280.24858
Coefficient of variation (CV)0.12546685
Kurtosis1.9006589
Mean2233.6463
Median Absolute Deviation (MAD)0
Skewness-1.4454034
Sum21536818
Variance78539.265
MonotonicityNot monotonic
2024-05-18T04:17:05.271911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 6550
67.2%
1800 1298
 
13.3%
2200 370
 
3.8%
1700 326
 
3.3%
1630 165
 
1.7%
2100 164
 
1.7%
1640 159
 
1.6%
1730 111
 
1.1%
2300 97
 
1.0%
2000 65
 
0.7%
Other values (44) 337
 
3.5%
(Missing) 98
 
1.0%
ValueCountFrequency (%)
1 5
 
0.1%
801 3
 
< 0.1%
1000 1
 
< 0.1%
1200 9
 
0.1%
1230 1
 
< 0.1%
1300 1
 
< 0.1%
1400 1
 
< 0.1%
1500 7
 
0.1%
1600 37
0.4%
1610 1
 
< 0.1%
ValueCountFrequency (%)
3000 1
 
< 0.1%
2800 1
 
< 0.1%
2700 3
 
< 0.1%
2600 4
 
< 0.1%
2510 1
 
< 0.1%
2500 31
0.3%
2450 8
 
0.1%
2440 5
 
0.1%
2430 43
0.4%
2425 1
 
< 0.1%

목요일가용시작시간
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)0.5%
Missing95
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean268.49767
Minimum0
Maximum1800
Zeros6491
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:05.893622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3800
95-th percentile900
Maximum1800
Range1800
Interquartile range (IQR)800

Descriptive statistics

Standard deviation393.37839
Coefficient of variation (CV)1.4651092
Kurtosis-1.1459425
Mean268.49767
Median Absolute Deviation (MAD)0
Skewness0.85042796
Sum2589660
Variance154746.56
MonotonicityNot monotonic
2024-05-18T04:17:06.302102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 6491
66.6%
900 1630
 
16.7%
800 286
 
2.9%
600 252
 
2.6%
700 217
 
2.2%
830 205
 
2.1%
840 152
 
1.6%
500 96
 
1.0%
1000 93
 
1.0%
530 56
 
0.6%
Other values (35) 167
 
1.7%
(Missing) 95
 
1.0%
ValueCountFrequency (%)
0 6491
66.6%
6 1
 
< 0.1%
9 2
 
< 0.1%
100 2
 
< 0.1%
200 1
 
< 0.1%
300 3
 
< 0.1%
301 1
 
< 0.1%
400 11
 
0.1%
425 7
 
0.1%
430 22
 
0.2%
ValueCountFrequency (%)
1800 1
 
< 0.1%
1630 1
 
< 0.1%
1600 1
 
< 0.1%
1500 1
 
< 0.1%
1400 1
 
< 0.1%
1300 5
 
0.1%
1100 6
 
0.1%
1030 17
 
0.2%
1000 93
1.0%
940 1
 
< 0.1%
Distinct53
Distinct (%)0.5%
Missing95
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean2233.8421
Minimum1
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:06.757682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1700
Q12100
median2400
Q32400
95-th percentile2400
Maximum3000
Range2999
Interquartile range (IQR)300

Descriptive statistics

Standard deviation279.52368
Coefficient of variation (CV)0.12513135
Kurtosis1.5729616
Mean2233.8421
Median Absolute Deviation (MAD)0
Skewness-1.4144447
Sum21545407
Variance78133.485
MonotonicityNot monotonic
2024-05-18T04:17:07.217764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 6551
67.3%
1800 1296
 
13.3%
2200 370
 
3.8%
1700 325
 
3.3%
1630 165
 
1.7%
2100 164
 
1.7%
1640 159
 
1.6%
1730 111
 
1.1%
2300 99
 
1.0%
2000 66
 
0.7%
Other values (43) 339
 
3.5%
(Missing) 95
 
1.0%
ValueCountFrequency (%)
1 4
 
< 0.1%
801 3
 
< 0.1%
1000 1
 
< 0.1%
1100 1
 
< 0.1%
1200 10
 
0.1%
1230 2
 
< 0.1%
1500 7
 
0.1%
1600 37
0.4%
1610 1
 
< 0.1%
1620 4
 
< 0.1%
ValueCountFrequency (%)
3000 1
 
< 0.1%
2800 1
 
< 0.1%
2700 3
 
< 0.1%
2600 4
 
< 0.1%
2510 1
 
< 0.1%
2500 31
0.3%
2450 8
 
0.1%
2440 5
 
0.1%
2430 43
0.4%
2425 1
 
< 0.1%

금요일가용시작시간
Real number (ℝ)

MISSING  ZEROS 

Distinct43
Distinct (%)0.4%
Missing114
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean267.09765
Minimum0
Maximum1800
Zeros6493
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:07.622374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3800
95-th percentile900
Maximum1800
Range1800
Interquartile range (IQR)800

Descriptive statistics

Standard deviation392.67913
Coefficient of variation (CV)1.4701707
Kurtosis-1.1354397
Mean267.09765
Median Absolute Deviation (MAD)0
Skewness0.85745165
Sum2571082
Variance154196.9
MonotonicityNot monotonic
2024-05-18T04:17:08.130146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 6493
66.7%
900 1616
 
16.6%
800 285
 
2.9%
600 252
 
2.6%
700 214
 
2.2%
830 206
 
2.1%
840 151
 
1.6%
500 96
 
1.0%
1000 93
 
1.0%
530 56
 
0.6%
Other values (33) 164
 
1.7%
(Missing) 114
 
1.2%
ValueCountFrequency (%)
0 6493
66.7%
6 1
 
< 0.1%
9 2
 
< 0.1%
100 2
 
< 0.1%
200 1
 
< 0.1%
300 3
 
< 0.1%
301 1
 
< 0.1%
400 11
 
0.1%
425 7
 
0.1%
430 22
 
0.2%
ValueCountFrequency (%)
1800 1
 
< 0.1%
1630 1
 
< 0.1%
1600 1
 
< 0.1%
1500 1
 
< 0.1%
1300 5
 
0.1%
1100 6
 
0.1%
1030 17
 
0.2%
1000 93
1.0%
940 1
 
< 0.1%
930 19
 
0.2%

금요일가용종료시간
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)0.5%
Missing114
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean2233.6149
Minimum1
Maximum3000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:08.570001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1700
Q12100
median2400
Q32400
95-th percentile2400
Maximum3000
Range2999
Interquartile range (IQR)300

Descriptive statistics

Standard deviation280.47774
Coefficient of variation (CV)0.12557122
Kurtosis1.8914426
Mean2233.6149
Median Absolute Deviation (MAD)0
Skewness-1.4436304
Sum21500777
Variance78667.761
MonotonicityNot monotonic
2024-05-18T04:17:09.013712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 6547
67.2%
1800 1305
 
13.4%
2200 356
 
3.7%
1700 325
 
3.3%
1630 166
 
1.7%
2100 162
 
1.7%
1640 158
 
1.6%
1730 111
 
1.1%
2300 97
 
1.0%
2000 51
 
0.5%
Other values (42) 348
 
3.6%
(Missing) 114
 
1.2%
ValueCountFrequency (%)
1 5
 
0.1%
801 3
 
< 0.1%
1000 1
 
< 0.1%
1200 10
 
0.1%
1230 1
 
< 0.1%
1500 7
 
0.1%
1600 37
 
0.4%
1610 1
 
< 0.1%
1620 4
 
< 0.1%
1630 166
1.7%
ValueCountFrequency (%)
3000 1
 
< 0.1%
2800 1
 
< 0.1%
2700 3
 
< 0.1%
2600 4
 
< 0.1%
2510 1
 
< 0.1%
2500 31
0.3%
2450 8
 
0.1%
2440 5
 
0.1%
2430 43
0.4%
2425 1
 
< 0.1%

일요일가용종료시간
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)0.6%
Missing2131
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean2340.2937
Minimum1
Maximum2800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:09.511460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1800
Q12400
median2400
Q32400
95-th percentile2400
Maximum2800
Range2799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation204.23172
Coefficient of variation (CV)0.087267557
Kurtosis42.327066
Mean2340.2937
Median Absolute Deviation (MAD)0
Skewness-5.2990937
Sum17807295
Variance41710.594
MonotonicityNot monotonic
2024-05-18T04:17:09.964563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2400 6640
68.2%
1800 374
 
3.8%
2200 157
 
1.6%
1700 73
 
0.7%
2300 68
 
0.7%
2100 52
 
0.5%
2359 33
 
0.3%
2330 28
 
0.3%
1730 27
 
0.3%
2000 25
 
0.3%
Other values (36) 132
 
1.4%
(Missing) 2131
 
21.9%
ValueCountFrequency (%)
1 15
0.2%
10 1
 
< 0.1%
600 4
 
< 0.1%
831 2
 
< 0.1%
900 1
 
< 0.1%
1000 2
 
< 0.1%
1130 1
 
< 0.1%
1200 1
 
< 0.1%
1400 2
 
< 0.1%
1540 5
 
0.1%
ValueCountFrequency (%)
2800 1
 
< 0.1%
2600 2
 
< 0.1%
2500 6
 
0.1%
2450 7
 
0.1%
2440 1
 
< 0.1%
2430 8
 
0.1%
2420 1
 
< 0.1%
2414 1
 
< 0.1%
2410 7
 
0.1%
2400 6640
68.2%

휴일가용시작시간
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)0.4%
Missing2431
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean90.258448
Minimum0
Maximum1300
Zeros6434
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:10.364573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile900
Maximum1300
Range1300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation253.61341
Coefficient of variation (CV)2.8098578
Kurtosis5.3240654
Mean90.258448
Median Absolute Deviation (MAD)0
Skewness2.624372
Sum659699
Variance64319.759
MonotonicityNot monotonic
2024-05-18T04:17:10.814593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 6434
66.1%
900 306
 
3.1%
600 107
 
1.1%
500 91
 
0.9%
700 78
 
0.8%
1000 76
 
0.8%
800 57
 
0.6%
530 51
 
0.5%
430 21
 
0.2%
1030 15
 
0.2%
Other values (22) 73
 
0.7%
(Missing) 2431
 
25.0%
ValueCountFrequency (%)
0 6434
66.1%
6 1
 
< 0.1%
100 1
 
< 0.1%
200 1
 
< 0.1%
300 4
 
< 0.1%
301 1
 
< 0.1%
400 11
 
0.1%
425 7
 
0.1%
430 21
 
0.2%
440 1
 
< 0.1%
ValueCountFrequency (%)
1300 2
 
< 0.1%
1200 1
 
< 0.1%
1100 1
 
< 0.1%
1030 15
 
0.2%
1000 76
 
0.8%
930 14
 
0.1%
900 306
3.1%
840 2
 
< 0.1%
830 7
 
0.1%
800 57
 
0.6%

휴일가용종료시간
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)0.6%
Missing2431
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2350.8858
Minimum1
Maximum2800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size85.7 KiB
2024-05-18T04:17:11.128579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1800
Q12400
median2400
Q32400
95-th percentile2400
Maximum2800
Range2799
Interquartile range (IQR)0

Descriptive statistics

Standard deviation195.05377
Coefficient of variation (CV)0.082970331
Kurtosis60.979731
Mean2350.8858
Median Absolute Deviation (MAD)0
Skewness-6.5068857
Sum17182624
Variance38045.973
MonotonicityNot monotonic
2024-05-18T04:17:11.515580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2400 6512
66.9%
1800 270
 
2.8%
2200 136
 
1.4%
1700 55
 
0.6%
2100 51
 
0.5%
2300 49
 
0.5%
2359 32
 
0.3%
1730 30
 
0.3%
2330 30
 
0.3%
2000 22
 
0.2%
Other values (31) 122
 
1.3%
(Missing) 2431
 
25.0%
ValueCountFrequency (%)
1 19
0.2%
10 1
 
< 0.1%
1000 2
 
< 0.1%
1030 3
 
< 0.1%
1130 1
 
< 0.1%
1200 1
 
< 0.1%
1300 1
 
< 0.1%
1400 2
 
< 0.1%
1600 6
 
0.1%
1630 3
 
< 0.1%
ValueCountFrequency (%)
2800 1
 
< 0.1%
2600 2
 
< 0.1%
2500 9
0.1%
2450 8
0.1%
2440 1
 
< 0.1%
2430 16
0.2%
2425 1
 
< 0.1%
2420 1
 
< 0.1%
2414 1
 
< 0.1%
2410 9
0.1%
Distinct2
Distinct (%)< 0.1%
Missing24
Missing (%)0.2%
Memory size19.2 KiB
True
7418 
False
2298 
(Missing)
 
24
ValueCountFrequency (%)
True 7418
76.2%
False 2298
 
23.6%
(Missing) 24
 
0.2%
2024-05-18T04:17:11.828762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing24
Missing (%)0.2%
Memory size19.2 KiB
True
7342 
False
2374 
(Missing)
 
24
ValueCountFrequency (%)
True 7342
75.4%
False 2374
 
24.4%
(Missing) 24
 
0.2%
2024-05-18T04:17:12.087362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing24
Missing (%)0.2%
Memory size19.2 KiB
True
7398 
False
2318 
(Missing)
 
24
ValueCountFrequency (%)
True 7398
76.0%
False 2318
 
23.8%
(Missing) 24
 
0.2%
2024-05-18T04:17:12.322293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing24
Missing (%)0.2%
Memory size19.2 KiB
True
7355 
False
2361 
(Missing)
 
24
ValueCountFrequency (%)
True 7355
75.5%
False 2361
 
24.2%
(Missing) 24
 
0.2%
2024-05-18T04:17:12.580708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing24
Missing (%)0.2%
Memory size19.2 KiB
True
7493 
False
2223 
(Missing)
 
24
ValueCountFrequency (%)
True 7493
76.9%
False 2223
 
22.8%
(Missing) 24
 
0.2%
2024-05-18T04:17:12.834153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct5145
Distinct (%)52.8%
Missing3
Missing (%)< 0.1%
Memory size76.2 KiB
2024-05-18T04:17:13.544805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.1001335
Min length2

Characters and Unicode

Total characters30186
Distinct characters340
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3387 ?
Unique (%)34.8%

Sample

1st row손성호
2nd row장혜순
3rd row장혜순
4th row김종직
5th row김은영
ValueCountFrequency (%)
관리자 44
 
0.5%
김다정 43
 
0.4%
박정범 42
 
0.4%
보건교사 39
 
0.4%
최양희 39
 
0.4%
지윤호 35
 
0.4%
관리소장 35
 
0.4%
000 35
 
0.4%
안영애주무관 33
 
0.3%
윤명재 29
 
0.3%
Other values (5147) 9403
96.2%
2024-05-18T04:17:14.784201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1957
 
6.5%
1576
 
5.2%
1061
 
3.5%
901
 
3.0%
803
 
2.7%
589
 
2.0%
588
 
1.9%
577
 
1.9%
535
 
1.8%
471
 
1.6%
Other values (330) 21128
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29884
99.0%
Decimal Number 138
 
0.5%
Open Punctuation 43
 
0.1%
Close Punctuation 43
 
0.1%
Space Separator 40
 
0.1%
Other Punctuation 18
 
0.1%
Uppercase Letter 12
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1957
 
6.5%
1576
 
5.3%
1061
 
3.6%
901
 
3.0%
803
 
2.7%
589
 
2.0%
588
 
2.0%
577
 
1.9%
535
 
1.8%
471
 
1.6%
Other values (306) 20826
69.7%
Lowercase Letter
ValueCountFrequency (%)
k 2
25.0%
u 1
12.5%
t 1
12.5%
l 1
12.5%
i 1
12.5%
n 1
12.5%
s 1
12.5%
Decimal Number
ValueCountFrequency (%)
0 105
76.1%
1 14
 
10.1%
2 12
 
8.7%
9 6
 
4.3%
5 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 6
33.3%
/ 5
27.8%
, 4
22.2%
* 2
 
11.1%
· 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
O 9
75.0%
A 1
 
8.3%
E 1
 
8.3%
D 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29884
99.0%
Common 282
 
0.9%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1957
 
6.5%
1576
 
5.3%
1061
 
3.6%
901
 
3.0%
803
 
2.7%
589
 
2.0%
588
 
2.0%
577
 
1.9%
535
 
1.8%
471
 
1.6%
Other values (306) 20826
69.7%
Common
ValueCountFrequency (%)
0 105
37.2%
( 43
15.2%
) 43
15.2%
40
 
14.2%
1 14
 
5.0%
2 12
 
4.3%
9 6
 
2.1%
: 6
 
2.1%
/ 5
 
1.8%
, 4
 
1.4%
Other values (3) 4
 
1.4%
Latin
ValueCountFrequency (%)
O 9
45.0%
k 2
 
10.0%
A 1
 
5.0%
E 1
 
5.0%
D 1
 
5.0%
u 1
 
5.0%
t 1
 
5.0%
l 1
 
5.0%
i 1
 
5.0%
n 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29884
99.0%
ASCII 301
 
1.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1957
 
6.5%
1576
 
5.3%
1061
 
3.6%
901
 
3.0%
803
 
2.7%
589
 
2.0%
588
 
2.0%
577
 
1.9%
535
 
1.8%
471
 
1.6%
Other values (306) 20826
69.7%
ASCII
ValueCountFrequency (%)
0 105
34.9%
( 43
14.3%
) 43
14.3%
40
 
13.3%
1 14
 
4.7%
2 12
 
4.0%
O 9
 
3.0%
9 6
 
2.0%
: 6
 
2.0%
/ 5
 
1.7%
Other values (13) 18
 
6.0%
None
ValueCountFrequency (%)
· 1
100.0%

Sample

설치기관명제조사명설치위치정제소재지지번주소정제소재지도로명주소우편번호경도위도설치기관전화번호설치기관주소관리자전화번호제세동기모델명월요일가용시작시간월요일가용종료시간화요일가용시작시간화요일가용종료시간수요일가용시작시간수요일가용종료시간목요일가용시작시간목요일가용종료시간금요일가용시작시간금요일가용종료시간일요일가용종료시간휴일가용시작시간휴일가용종료시간첫째주일요일가능여부둘째주일요일가능여부셋째주일요일가능여부넷째주일요일가능여부다섯째주일요일가능여부관리책임자명
0중앙인더스피아3차나눔테크본동 2층 엘리베이터옆경기도 성남시 중원구 상대원동 144-1번지 중앙인더스피아3경기도 성남시 중원구 사기막골로105번길 2713201127.17311637.4412170317205516경기도 성남시 중원구 사기막골로105번길 27, 중앙인더스피아3 (상대원동)031-720-5511NT2800240002400024000240002400240002400YYYYY손성호
1롯데쇼핑(주)수원점(주)씨유메디컬시스템롯데몰 1층 Gate 2경기도 수원시 권선구 서둔동 381번지 롯데백화점수원점경기도 수원시 권선구 세화로 13416621126.99737137.26410103180662500경기도 수원시 권선구 세화로 134 (서둔동) 롯데백화점 수원점031-8066-2500저출력 심장충격기 i-PAD NF12000240002400024000240002400240002400YYYYY장혜순
2롯데쇼핑(주)수원점(주)씨유메디컬시스템5층 문화홀입구경기도 수원시 권선구 서둔동 381번지 롯데백화점수원점경기도 수원시 권선구 세화로 13416621126.99737137.26410103180662500경기도 수원시 권선구 세화로 134 (서둔동) 롯데백화점 수원점031-8066-2500저출력심장충격기 i- PAD NF12000240002400024000240002400240002400YYYYY장혜순
3현대아이밸리나눔테크본동 1층 출입문에서 직진 5m경기도 성남시 중원구 상대원동 223-12번지 현대아이밸리경기도 성남시 중원구 갈마치로244번길 3113212127.17726237.4364690317379115경기도 성남시 중원구 갈마치로244번길 31, 현대아이밸리 (상대원동)031-737-9115NT2800240002400024000240002400240002400YYYYY김종직
4서울대공원미국필립스메디컬시스템동물원코뿔소식당경기도 과천시 막계동 159-1번지 서울대공원 관리부1층경기도 과천시 대공원광장로 10213829127.01410337.43644302-500-7829경기도 과천시 대공원광장로 102 서울대공원 관리부1층02-500-7829HeartstartFRX0240002400024000240002400240002400YYYYY김은영
5양평전자과학고등학교라디안양평전자과학고등학교경기도 양평군 양서면 국수리 330-12경기도 양평군 양서면 대심상심길 1312582127.40093737.510096070-7009-2901경기도 양평군 양서면 대심상심길 13 국수리330-12070-7009-2901HR-501-B90018009001800900180090018009001800<NA><NA><NA>NNNNN박정아
6금정제일공원나눔테크금정제일공원 금당경로당 입구경기도 군포시 금정동 755번지 금정제일공원 금당경로당 입구경기도 군포시 금재로35번길 1915832126.94490737.360604031-390-8961경기도 군포시 금재로35번길 19 금정제일공원 금당경로당 입구031-390-8961reheart NT-3810240002400024000240002400240002400YYYYY지윤호
7광정공원나눔테크광정공원 광정경로당 입구경기도 군포시 산본동 1112-4번지 광정경로당 입구경기도 군포시 산본로431번길 2115820126.92445437.366797031-390-8961경기도 군포시 산본로431번길 21 광정경로당 입구031-390-8961reheart NT-3810240002400024000240002400240002400YYYYY지윤호
8복합생활스포츠타운나눔테크부곡생활스포츠타운 관리사무소경기도 군포시 부곡동 1226번지 군포국민체육센터경기도 군포시 군포로 33915874126.93647737.338759031-390-8961경기도 군포시 군포로 339, 군포국민체육센터 (부곡동)031-390-8961reheart-3810240002400024000240002400240002400YYYYY지윤호
9군포시장애인복지관나눔테크군포시장애인복지관 1층 로비경기도 군포시 금정동 844-1번지경기도 군포시 청백리길 1815829126.93323837.36263031-390-8961경기도 군포시 청백리길 18031-390-8961reheart-38190018009001800900180090018009001800<NA><NA><NA>NNNNN박명석
설치기관명제조사명설치위치정제소재지지번주소정제소재지도로명주소우편번호경도위도설치기관전화번호설치기관주소관리자전화번호제세동기모델명월요일가용시작시간월요일가용종료시간화요일가용시작시간화요일가용종료시간수요일가용시작시간수요일가용종료시간목요일가용시작시간목요일가용종료시간금요일가용시작시간금요일가용종료시간일요일가용종료시간휴일가용시작시간휴일가용종료시간첫째주일요일가능여부둘째주일요일가능여부셋째주일요일가능여부넷째주일요일가능여부다섯째주일요일가능여부관리책임자명
9730영통신명한국아파트(주)나눔테크경비2초소경기도 수원시 영통구 영통동 1054-3번지 신명.한국아파트<NA>16713127.08417637.26844031-203-1063경기도 수원시 영통구 봉영로1770번길 21(영통동, 신명.한국아파트)031-203-1063NT-30000240002400024000240002400240002400YYYYY백성진
9731광명해모로이연아파트㈜나눔테크101동 1,2라인 1층 승강기 옆경기도 광명시 광명동 785번지 광명해모로이연<NA>14295126.84709337.4725220220600544경기도 광명시 목감로 58(광명동, 광명해모로이연)02-2060-0544NT-381.O0240002400024000240002400240002400YYYYY조현용
9732한미약품평택공단라디안세파플랜트 1층경기도 평택시 팽성읍 추팔리 395번지경기도 평택시 팽성읍 추팔산단로 11417998127.07646236.955035031-8053-1218경기도 평택시 팽성읍 추팔산단로 114031-8053-1218HR-5010240002400024000240002400240002400YYYYY김민경
9733한미약품평택공단라디안바이오 1공장 1층경기도 평택시 팽성읍 추팔리 395번지경기도 평택시 팽성읍 추팔산단로 11417998127.07646236.955035031-8053-1218경기도 평택시 팽성읍 추팔산단로 114031-8053-1218HR-5010240002400024000240002400240002400YYYYY김민경
9734동탄2서희스타힐스24단지메디아나정문 경비초소 내경기도 화성시 산척동 792번지 서희스타힐스엔에이치에프<NA>18496127.11882937.173306031-374-9680경기도 화성시 동탄순환대로17길 15(산척동, 서희스타힐스엔에이치에프)010-9962-2963HeartOn A15-G40240002400024000240002400240002400YYYYY안병재
9735부천시육아종합지원센터(주)나눔테크육아종합지원센터 1층경기도 부천시 원미구 중동 1092-2번지 부천육아종합지원센터 1층경기도 부천시 원미구 계남로 33014551126.78260237.501496032-322-8686경기도 부천시 계남로 330, 부천육아종합지원센터 1층 (중동)032-322-8686NT-381.C90018009001800900180090018009001800<NA><NA><NA>NNNNN신연정
9736아름채노인복지회관(주)나눔테크1층 까페 출입문 우측벽경기도 의왕시 고천동 100번지 아름채노인복지관경기도 의왕시 문화공원로 4716077126.97250637.3427650314270580경기도 의왕시 문화공원로 47, 아름채노인복지관 (고천동)031-427-0580NT-381.C90018009001800900180090018009001800<NA><NA><NA>NNNNN공수연
9737수원역푸르지오자이아파트(주)메디아나남문 경비실경기도 수원시 팔달구 고등동 310번지 수원역푸르지오자이경기도 수원시 팔달구 고등로 1516452127.00025537.276445031-242-4086경기도 수원시 팔달구 고등로 15 (고등동, 수원역푸르지오자이)031-242-4086heart On A15-G-40240002400024000240002400240002400YYYYY정세진
9738수원역푸르지오자이아파트(주)메디아나서문 경비실경기도 수원시 팔달구 고등동 310번지 수원역푸르지오자이경기도 수원시 팔달구 고등로 1516452127.00025537.276445031-242-4086경기도 수원시 팔달구 고등로 15 (고등동, 수원역푸르지오자이)031-242-4086heart On A15-G-40240002400024000240002400240002400YYYYY정세진
9739문촌마을15단지부영아파트라디안큐바이오관리동경기도 고양시 일산서구 주엽동 135번지 문촌마을15단지아파트<NA>10384126.75567637.671024031-912-8077경기도 고양시 일산서구 주엽로 123(주엽동, 문촌마을15단지아파트)031-912-8077hr-5010240002400024000240002400240002400YYYYY이병관

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설치기관명제조사명설치위치정제소재지지번주소정제소재지도로명주소우편번호경도위도설치기관전화번호설치기관주소관리자전화번호제세동기모델명월요일가용시작시간월요일가용종료시간화요일가용시작시간화요일가용종료시간수요일가용시작시간수요일가용종료시간목요일가용시작시간목요일가용종료시간금요일가용시작시간금요일가용종료시간일요일가용종료시간휴일가용시작시간휴일가용종료시간첫째주일요일가능여부둘째주일요일가능여부셋째주일요일가능여부넷째주일요일가능여부다섯째주일요일가능여부관리책임자명# duplicates
3김포골드라인전동차(주)나눔테크전동차경기도 김포시 양촌읍 유현리 58-7번지 김포한강차량기지경기도 김포시 양촌읍 양촌역길 13910045126.61502637.641363031-8048-1500경기도 김포시 양촌읍 양촌역길 139, 김포한강차량기지031-8048-1562NT-381.M5302430530243053024305302430530243023305302330YYYYY양주희21
14신정마을주공9단지아파트한국 나눔테크수지구 풍덕천동 1104경기도 용인시 수지구 풍덕천동 1104번지 용인수지신정마을9단지<NA>16840127.09138937.3194480312652970경기도 용인시 수지구 풍덕천로 76 (풍덕천동, 용인수지 신정마을9단지)031-265-2970HeartproNT-2800240002400024000240002400240002400YYYYY이성천8
8만현마을3단지성원상떼빌아파트씨유메디칼만현마을3단지성원상떼빌아파트 해당동 로비층경기도 용인시 수지구 상현동 864번지 만현마을성원상떼빌아파트<NA>16928127.09127537.309253306-0651경기도 용인시 수지구 만현로67번길 19031-306-0651NF-12000240002400024000240002400240002400YYYYY김성춘7
9미사강변도시14단지(주)나눔테크미사강변도시14단지경기도 하남시 망월동 907번지 미사강변도시14단지 관리사무소경기도 하남시 미사강변동로 18012911127.18967937.57195031-795-8552경기도 하남시 미사강변동로 180 관리사무소 (망월동, 미사강변도시14단지)010-8443-0461저출력심장충격기0240002400024000240002400240002400YYYYY이은규3
10버들치마을경남아너스빌1차나눔테크경남아너스빌1차경기도 용인시 수지구 성복동 753번지 버들치마을경남아너스빌1차<NA>16854127.06208537.316486897-7818경기도 용인시 수지구 성복1로 157010-3222-9230HeartPro NT-2800240002400024000240002400240002400YYYYY이민재3
13시흥6차푸르지오1단지아파트라디안정문,중문,후문 경비초소 내경기도 시흥시 죽율동 759번지 시흥6차푸르지오1단지<NA>15050126.75894537.350256031-319-3377경기도 시흥시 죽율로 45-10 (죽율동, 시흥6차푸르지오1단지)031-319-3377HR-5030240002400024000240002400240002400YYYYY이준기3
22풍동숲속마을9단지나눔테크906동 1층경기도 고양시 일산동구 풍동 1252번지 숲속마을9단지아파트<NA>10303126.8035637.673551031-932-9423경기도 고양시 일산동구 숲속마을로 195 풍동, 숲속마을9단지아파트031-932-9423NT2800240002400024000240002400240002400YYYYY0003
0(재)경기도수원월드컵경기장관리재단(주)나눔테크보조구장경기도 수원시 팔달구 우만동 228번지 수원월드컵경기장경기도 수원시 팔달구 월드컵로 31016230127.03995437.288612031-259-2022경기도 수원시 팔달구 월드컵로 310, 수원월드컵경기장 (우만동)031-259-2030ReHeart NT-381.O<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>21009002100YYYYY이정란2
1DMC해링턴플레이스(주)메디아나관리사무소 복도경기도 고양시 덕양구 향동동 421번지 디엠씨해링턴플레이스엔에이치에프<NA>10546126.89408737.60617202-3159-1272경기도 고양시 덕양구 향기로 185 (향동동, 디엠씨해링턴플레이스엔에이치에프)02-3159-1272Heart On A15-G40240002400024000240002400240002400YYYYY송영란2
2감일포엠포레5단지MEDIANA관리동경기도 하남시 감일동 533번지 감일포엠포레<NA>12996127.16223537.51279102-477-0337경기도 하남시 감일순환로 135 (감일동, 감일포엠포레)02-477-0337HeartOn A15-G40240002400024000240002400240002400YYYYY정동섭2