Overview

Dataset statistics

Number of variables29
Number of observations163
Missing cells1560
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.1 KiB
Average record size in memory245.8 B

Variable types

Categorical8
Text7
DateTime4
Unsupported7
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),비상시설위치,시설구분명,시설명_건물명,해제일자
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-20033/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (64.4%)Imbalance
영업상태명 is highly imbalanced (64.4%)Imbalance
상세영업상태코드 is highly imbalanced (64.4%)Imbalance
상세영업상태명 is highly imbalanced (64.4%)Imbalance
데이터갱신구분 is highly imbalanced (94.6%)Imbalance
인허가취소일자 has 152 (93.3%) missing valuesMissing
폐업일자 has 152 (93.3%) missing valuesMissing
휴업시작일자 has 163 (100.0%) missing valuesMissing
휴업종료일자 has 163 (100.0%) missing valuesMissing
재개업일자 has 163 (100.0%) missing valuesMissing
전화번호 has 163 (100.0%) missing valuesMissing
소재지우편번호 has 163 (100.0%) missing valuesMissing
도로명우편번호 has 3 (1.8%) missing valuesMissing
업태구분명 has 163 (100.0%) missing valuesMissing
비상시설위치 has 56 (34.4%) missing valuesMissing
시설명_건물명 has 56 (34.4%) missing valuesMissing
해제일자 has 163 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
해제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:56:29.660421
Analysis finished2024-05-11 06:56:31.169392
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3060000
163 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 163
100.0%

Length

2024-05-11T06:56:31.377917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:56:31.725026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 163
100.0%

관리번호
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T06:56:32.090783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2934
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)100.0%

Sample

1st row3060000-S199600007
2nd row3060000-S200000006
3rd row3060000-S201100038
4th row3060000-S201100023
5th row3060000-S201100035
ValueCountFrequency (%)
3060000-s199600007 1
 
0.6%
3060000-s201200003 1
 
0.6%
3060000-s200900003 1
 
0.6%
3060000-s199700021 1
 
0.6%
3060000-s201100009 1
 
0.6%
3060000-s199100011 1
 
0.6%
3060000-s201800001 1
 
0.6%
3060000-s202300003 1
 
0.6%
3060000-s200700012 1
 
0.6%
3060000-s199800013 1
 
0.6%
Other values (153) 153
93.9%
2024-05-11T06:56:33.115295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1538
52.4%
1 240
 
8.2%
3 204
 
7.0%
6 197
 
6.7%
- 163
 
5.6%
S 163
 
5.6%
9 152
 
5.2%
2 149
 
5.1%
7 41
 
1.4%
4 31
 
1.1%
Other values (2) 56
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2608
88.9%
Dash Punctuation 163
 
5.6%
Uppercase Letter 163
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1538
59.0%
1 240
 
9.2%
3 204
 
7.8%
6 197
 
7.6%
9 152
 
5.8%
2 149
 
5.7%
7 41
 
1.6%
4 31
 
1.2%
5 29
 
1.1%
8 27
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 163
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2771
94.4%
Latin 163
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1538
55.5%
1 240
 
8.7%
3 204
 
7.4%
6 197
 
7.1%
- 163
 
5.9%
9 152
 
5.5%
2 149
 
5.4%
7 41
 
1.5%
4 31
 
1.1%
5 29
 
1.0%
Latin
ValueCountFrequency (%)
S 163
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1538
52.4%
1 240
 
8.2%
3 204
 
7.0%
6 197
 
6.7%
- 163
 
5.6%
S 163
 
5.6%
9 152
 
5.2%
2 149
 
5.1%
7 41
 
1.4%
4 31
 
1.1%
Other values (2) 56
 
1.9%

인허가일자
Date

Distinct59
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1974-01-01 00:00:00
Maximum2024-03-11 00:00:00
2024-05-11T06:56:33.526714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:56:33.975713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct6
Distinct (%)54.5%
Missing152
Missing (%)93.3%
Memory size1.4 KiB
Minimum2023-08-18 00:00:00
Maximum2023-11-16 00:00:00
2024-05-11T06:56:34.443530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:56:34.910923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
152 
4
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row4
5th row1

Common Values

ValueCountFrequency (%)
1 152
93.3%
4 11
 
6.7%

Length

2024-05-11T06:56:35.388459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:56:35.821856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 152
93.3%
4 11
 
6.7%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
152 
취소/말소/만료/정지/중지
 
11

Length

Max length14
Median length5
Mean length5.607362
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row취소/말소/만료/정지/중지
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 152
93.3%
취소/말소/만료/정지/중지 11
 
6.7%

Length

2024-05-11T06:56:36.331471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:56:36.776722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 152
93.3%
취소/말소/만료/정지/중지 11
 
6.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
18
152 
19
 
11

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row18
3rd row18
4th row19
5th row18

Common Values

ValueCountFrequency (%)
18 152
93.3%
19 11
 
6.7%

Length

2024-05-11T06:56:37.204563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:56:37.671121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 152
93.3%
19 11
 
6.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사용중
152 
사용중지
 
11

Length

Max length4
Median length3
Mean length3.0674847
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사용중
2nd row사용중
3rd row사용중
4th row사용중지
5th row사용중

Common Values

ValueCountFrequency (%)
사용중 152
93.3%
사용중지 11
 
6.7%

Length

2024-05-11T06:56:38.161442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:56:38.634934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 152
93.3%
사용중지 11
 
6.7%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)54.5%
Missing152
Missing (%)93.3%
Memory size1.4 KiB
Minimum2023-08-18 00:00:00
Maximum2023-11-16 00:00:00
2024-05-11T06:56:39.054545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:56:39.461906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

소재지면적
Real number (ℝ)

Distinct161
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8827.584
Minimum215
Maximum126028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:56:40.046042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum215
5-th percentile453
Q11829
median5197
Q39796
95-th percentile28432
Maximum126028
Range125813
Interquartile range (IQR)7967

Descriptive statistics

Standard deviation13962.373
Coefficient of variation (CV)1.5816754
Kurtosis34.011523
Mean8827.584
Median Absolute Deviation (MAD)3693
Skewness4.9636745
Sum1438896.2
Variance1.9494785 × 108
MonotonicityNot monotonic
2024-05-11T06:56:40.648993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9070.0 2
 
1.2%
1392.0 2
 
1.2%
6102.0 1
 
0.6%
6101.0 1
 
0.6%
9793.0 1
 
0.6%
6439.0 1
 
0.6%
775.0 1
 
0.6%
3861.0 1
 
0.6%
722.48 1
 
0.6%
21273.0 1
 
0.6%
Other values (151) 151
92.6%
ValueCountFrequency (%)
215.0 1
0.6%
271.0 1
0.6%
367.0 1
0.6%
380.0 1
0.6%
388.0 1
0.6%
395.0 1
0.6%
400.0 1
0.6%
433.0 1
0.6%
450.0 1
0.6%
480.0 1
0.6%
ValueCountFrequency (%)
126028.0 1
0.6%
77732.0 1
0.6%
54219.0 1
0.6%
45542.0 1
0.6%
36804.0 1
0.6%
34020.0 1
0.6%
33912.0 1
0.6%
33005.0 1
0.6%
28463.0 1
0.6%
28153.0 1
0.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

지번주소
Text

Distinct161
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T06:56:41.363693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length20.411043
Min length17

Characters and Unicode

Total characters3327
Distinct characters66
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

Unique159 ?
Unique (%)97.5%

Sample

1st row서울특별시 중랑구 면목동 495번지
2nd row서울특별시 중랑구 망우동 340번지 1호
3rd row서울특별시 중랑구 묵동 387번지
4th row서울특별시 중랑구 신내동 651번지
5th row서울특별시 중랑구 묵동 386번지
ValueCountFrequency (%)
서울특별시 163
22.7%
중랑구 163
22.7%
면목동 52
 
7.2%
신내동 34
 
4.7%
묵동 25
 
3.5%
망우동 19
 
2.6%
1호 17
 
2.4%
상봉동 17
 
2.4%
중화동 16
 
2.2%
4호 5
 
0.7%
Other values (177) 207
28.8%
2024-05-11T06:56:42.715536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
16.7%
중 179
 
5.4%
랑 164
 
4.9%
시 164
 
4.9%
서 163
 
4.9%
울 163
 
4.9%
구 163
 
4.9%
동 163
 
4.9%
별 163
 
4.9%
특 163
 
4.9%
Other values (56) 1287
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2177
65.4%
Decimal Number 583
 
17.5%
Space Separator 555
 
16.7%
Lowercase Letter 6
 
0.2%
Dash Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 179
 
8.2%
랑 164
 
7.5%
시 164
 
7.5%
서 163
 
7.5%
울 163
 
7.5%
구 163
 
7.5%
동 163
 
7.5%
별 163
 
7.5%
특 163
 
7.5%
지 158
 
7.3%
Other values (36) 534
24.5%
Decimal Number
ValueCountFrequency (%)
1 126
21.6%
5 70
12.0%
3 57
9.8%
4 52
8.9%
0 52
8.9%
7 49
 
8.4%
8 49
 
8.4%
6 46
 
7.9%
2 46
 
7.9%
9 36
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
n 1
16.7%
t 1
16.7%
c 1
16.7%
r 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
V 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2177
65.4%
Common 1141
34.3%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 179
 
8.2%
랑 164
 
7.5%
시 164
 
7.5%
서 163
 
7.5%
울 163
 
7.5%
구 163
 
7.5%
동 163
 
7.5%
별 163
 
7.5%
특 163
 
7.5%
지 158
 
7.3%
Other values (36) 534
24.5%
Common
ValueCountFrequency (%)
555
48.6%
1 126
 
11.0%
5 70
 
6.1%
3 57
 
5.0%
4 52
 
4.6%
0 52
 
4.6%
7 49
 
4.3%
8 49
 
4.3%
6 46
 
4.0%
2 46
 
4.0%
Other values (2) 39
 
3.4%
Latin
ValueCountFrequency (%)
e 2
22.2%
n 1
11.1%
t 1
11.1%
K 1
11.1%
c 1
11.1%
r 1
11.1%
V 1
11.1%
S 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2177
65.4%
ASCII 1150
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
48.3%
1 126
 
11.0%
5 70
 
6.1%
3 57
 
5.0%
4 52
 
4.5%
0 52
 
4.5%
7 49
 
4.3%
8 49
 
4.3%
6 46
 
4.0%
2 46
 
4.0%
Other values (10) 48
 
4.2%
Hangul
ValueCountFrequency (%)
중 179
 
8.2%
랑 164
 
7.5%
시 164
 
7.5%
서 163
 
7.5%
울 163
 
7.5%
구 163
 
7.5%
동 163
 
7.5%
별 163
 
7.5%
특 163
 
7.5%
지 158
 
7.3%
Other values (36) 534
24.5%

도로명주소
Text

Distinct161
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T06:56:43.497278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length32.920245
Min length22

Characters and Unicode

Total characters5366
Distinct characters224
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)97.5%

Sample

1st row서울특별시 중랑구 사가정로 지하 393 (면목동, 사가정역)
2nd row서울특별시 중랑구 망우로 455 (망우동)
3rd row서울특별시 중랑구 공릉로18길 59 (묵동, 브라운스톤태릉아파트)
4th row서울특별시 중랑구 신내로21길 55 (신내동, 금성초등학교)
5th row서울특별시 중랑구 공릉로2길 39 (묵동, 금호어울림아파트)
ValueCountFrequency (%)
서울특별시 163
 
16.6%
중랑구 163
 
16.6%
면목동 52
 
5.3%
신내동 34
 
3.5%
묵동 25
 
2.5%
망우동 19
 
1.9%
동일로 18
 
1.8%
상봉동 17
 
1.7%
중화동 16
 
1.6%
용마산로 12
 
1.2%
Other values (359) 462
47.1%
2024-05-11T06:56:45.090481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
818
 
15.2%
동 225
 
4.2%
중 207
 
3.9%
랑 180
 
3.4%
울 172
 
3.2%
시 170
 
3.2%
구 168
 
3.1%
서 167
 
3.1%
로 166
 
3.1%
( 164
 
3.1%
Other values (214) 2929
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3459
64.5%
Space Separator 818
 
15.2%
Decimal Number 591
 
11.0%
Open Punctuation 164
 
3.1%
Close Punctuation 164
 
3.1%
Other Punctuation 150
 
2.8%
Dash Punctuation 9
 
0.2%
Lowercase Letter 8
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 225
 
6.5%
중 207
 
6.0%
랑 180
 
5.2%
울 172
 
5.0%
시 170
 
4.9%
구 168
 
4.9%
서 167
 
4.8%
로 166
 
4.8%
별 164
 
4.7%
특 164
 
4.7%
Other values (189) 1676
48.5%
Decimal Number
ValueCountFrequency (%)
1 127
21.5%
2 87
14.7%
5 58
9.8%
9 57
9.6%
3 55
9.3%
4 50
 
8.5%
6 46
 
7.8%
7 43
 
7.3%
8 35
 
5.9%
0 33
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
m 1
12.5%
s 1
12.5%
c 1
12.5%
r 1
12.5%
t 1
12.5%
n 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
V 1
33.3%
K 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
818
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3459
64.5%
Common 1896
35.3%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 225
 
6.5%
중 207
 
6.0%
랑 180
 
5.2%
울 172
 
5.0%
시 170
 
4.9%
구 168
 
4.9%
서 167
 
4.8%
로 166
 
4.8%
별 164
 
4.7%
특 164
 
4.7%
Other values (189) 1676
48.5%
Common
ValueCountFrequency (%)
818
43.1%
( 164
 
8.6%
) 164
 
8.6%
, 150
 
7.9%
1 127
 
6.7%
2 87
 
4.6%
5 58
 
3.1%
9 57
 
3.0%
3 55
 
2.9%
4 50
 
2.6%
Other values (5) 166
 
8.8%
Latin
ValueCountFrequency (%)
e 2
18.2%
m 1
9.1%
s 1
9.1%
c 1
9.1%
r 1
9.1%
t 1
9.1%
n 1
9.1%
V 1
9.1%
K 1
9.1%
S 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3459
64.5%
ASCII 1907
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
818
42.9%
( 164
 
8.6%
) 164
 
8.6%
, 150
 
7.9%
1 127
 
6.7%
2 87
 
4.6%
5 58
 
3.0%
9 57
 
3.0%
3 55
 
2.9%
4 50
 
2.6%
Other values (15) 177
 
9.3%
Hangul
ValueCountFrequency (%)
동 225
 
6.5%
중 207
 
6.0%
랑 180
 
5.2%
울 172
 
5.0%
시 170
 
4.9%
구 168
 
4.9%
서 167
 
4.8%
로 166
 
4.8%
별 164
 
4.7%
특 164
 
4.7%
Other values (189) 1676
48.5%

도로명우편번호
Text

MISSING 

Distinct117
Distinct (%)73.1%
Missing3
Missing (%)1.8%
Memory size1.4 KiB
2024-05-11T06:56:46.025971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.40625
Min length4

Characters and Unicode

Total characters705
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

Unique84 ?
Unique (%)52.5%

Sample

1st row02228
2nd row02060
3rd row02020
4th row02028
5th row02036
ValueCountFrequency (%)
2163 4
 
2.5%
2054 3
 
1.9%
2254 3
 
1.9%
2043 3
 
1.9%
2258 3
 
1.9%
02036 3
 
1.9%
2063 3
 
1.9%
02196 3
 
1.9%
02033 3
 
1.9%
2017 2
 
1.2%
Other values (107) 130
81.2%
2024-05-11T06:56:47.169833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 221
31.3%
0 172
24.4%
1 72
 
10.2%
3 45
 
6.4%
5 39
 
5.5%
6 34
 
4.8%
4 34
 
4.8%
8 34
 
4.8%
7 31
 
4.4%
9 20
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 702
99.6%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 221
31.5%
0 172
24.5%
1 72
 
10.3%
3 45
 
6.4%
5 39
 
5.6%
6 34
 
4.8%
4 34
 
4.8%
8 34
 
4.8%
7 31
 
4.4%
9 20
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 705
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 221
31.3%
0 172
24.4%
1 72
 
10.2%
3 45
 
6.4%
5 39
 
5.5%
6 34
 
4.8%
4 34
 
4.8%
8 34
 
4.8%
7 31
 
4.4%
9 20
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 221
31.3%
0 172
24.4%
1 72
 
10.2%
3 45
 
6.4%
5 39
 
5.5%
6 34
 
4.8%
4 34
 
4.8%
8 34
 
4.8%
7 31
 
4.4%
9 20
 
2.8%

사업장명
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T06:56:47.715606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length18.337423
Min length8

Characters and Unicode

Total characters2989
Distinct characters219
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)100.0%

Sample

1st row사가정역(지하 1~3층)
2nd row금란교회(지하주차장 3~6층)
3rd row브라운스톤아파트(지하주차장 1~2층)
4th row금성초등학교(지하주차장 1층)
5th row금호어울림아파트(지하주차장 1층)
ValueCountFrequency (%)
1층 78
 
21.4%
1~2층 32
 
8.8%
지하주차장 18
 
4.9%
동의 14
 
3.8%
1~3층 13
 
3.6%
지하 4
 
1.1%
3
 
0.8%
1~5층 3
 
0.8%
모든 2
 
0.5%
2~4층 2
 
0.5%
Other values (187) 195
53.6%
2024-05-11T06:56:48.719381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
6.7%
지 181
 
6.1%
1 172
 
5.8%
층 163
 
5.5%
하 163
 
5.5%
) 161
 
5.4%
( 161
 
5.4%
차 156
 
5.2%
주 146
 
4.9%
장 140
 
4.7%
Other values (209) 1345
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2110
70.6%
Decimal Number 280
 
9.4%
Space Separator 201
 
6.7%
Close Punctuation 161
 
5.4%
Open Punctuation 161
 
5.4%
Math Symbol 64
 
2.1%
Uppercase Letter 5
 
0.2%
Dash Punctuation 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 181
 
8.6%
층 163
 
7.7%
하 163
 
7.7%
차 156
 
7.4%
주 146
 
6.9%
장 140
 
6.6%
아 109
 
5.2%
파 101
 
4.8%
트 100
 
4.7%
동 45
 
2.1%
Other values (188) 806
38.2%
Decimal Number
ValueCountFrequency (%)
1 172
61.4%
2 59
 
21.1%
3 21
 
7.5%
4 9
 
3.2%
5 6
 
2.1%
6 4
 
1.4%
0 4
 
1.4%
8 2
 
0.7%
7 2
 
0.7%
9 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
M 1
20.0%
V 1
20.0%
K 1
20.0%
Other Punctuation
ValueCountFrequency (%)
: 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 161
100.0%
Math Symbol
ValueCountFrequency (%)
~ 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2110
70.6%
Common 874
29.2%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 181
 
8.6%
층 163
 
7.7%
하 163
 
7.7%
차 156
 
7.4%
주 146
 
6.9%
장 140
 
6.6%
아 109
 
5.2%
파 101
 
4.8%
트 100
 
4.7%
동 45
 
2.1%
Other values (188) 806
38.2%
Common
ValueCountFrequency (%)
201
23.0%
1 172
19.7%
) 161
18.4%
( 161
18.4%
~ 64
 
7.3%
2 59
 
6.8%
3 21
 
2.4%
4 9
 
1.0%
5 6
 
0.7%
- 4
 
0.5%
Other values (7) 16
 
1.8%
Latin
ValueCountFrequency (%)
S 2
40.0%
M 1
20.0%
V 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2110
70.6%
ASCII 879
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
22.9%
1 172
19.6%
) 161
18.3%
( 161
18.3%
~ 64
 
7.3%
2 59
 
6.7%
3 21
 
2.4%
4 9
 
1.0%
5 6
 
0.7%
- 4
 
0.5%
Other values (11) 21
 
2.4%
Hangul
ValueCountFrequency (%)
지 181
 
8.6%
층 163
 
7.7%
하 163
 
7.7%
차 156
 
7.4%
주 146
 
6.9%
장 140
 
6.6%
아 109
 
5.2%
파 101
 
4.8%
트 100
 
4.7%
동 45
 
2.1%
Other values (188) 806
38.2%

최종수정일자
Date

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2020-11-20 12:16:57
Maximum2024-03-12 16:07:27
2024-05-11T06:56:49.180544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:56:49.635864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
U
162 
I
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
U 162
99.4%
I 1
 
0.6%

Length

2024-05-11T06:56:50.435090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:56:50.752698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 162
99.4%
i 1
 
0.6%

데이터갱신일자
Categorical

Distinct37
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-06-17 02:40:00.0
17 
2023-06-22 02:40:00.0
17 
2022-10-31 22:04:00.0
15 
2023-12-02 00:02:00.0
13 
2023-04-13 02:40:00.0
12 
Other values (32)
89 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique13 ?
Unique (%)8.0%

Sample

1st row2023-12-02 00:02:00.0
2nd row2022-12-08 23:00:00.0
3rd row2022-10-31 22:04:00.0
4th row2022-10-30 22:00:00.0
5th row2022-10-31 22:04:00.0

Common Values

ValueCountFrequency (%)
2023-06-17 02:40:00.0 17
 
10.4%
2023-06-22 02:40:00.0 17
 
10.4%
2022-10-31 22:04:00.0 15
 
9.2%
2023-12-02 00:02:00.0 13
 
8.0%
2023-04-13 02:40:00.0 12
 
7.4%
2023-07-09 02:40:00.0 10
 
6.1%
2023-06-16 02:40:00.0 9
 
5.5%
2023-04-01 02:40:00.0 7
 
4.3%
2023-06-18 02:40:00.0 6
 
3.7%
2023-04-02 02:40:00.0 5
 
3.1%
Other values (27) 52
31.9%

Length

2024-05-11T06:56:51.163724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 107
32.8%
2022-10-31 20
 
6.1%
2023-06-17 17
 
5.2%
2023-06-22 17
 
5.2%
2023-12-02 17
 
5.2%
22:04:00.0 15
 
4.6%
00:02:00.0 14
 
4.3%
2023-04-13 12
 
3.7%
2023-07-09 10
 
3.1%
2023-06-16 9
 
2.8%
Other values (33) 88
27.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

Distinct161
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207758.74
Minimum206317.99
Maximum209856.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:56:51.616382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206317.99
5-th percentile206527.33
Q1206976.68
median207762.02
Q3208391.81
95-th percentile209305.02
Maximum209856.12
Range3538.1249
Interquartile range (IQR)1415.1257

Descriptive statistics

Standard deviation849.64122
Coefficient of variation (CV)0.0040895571
Kurtosis-0.75111214
Mean207758.74
Median Absolute Deviation (MAD)690.99831
Skewness0.29144224
Sum33864674
Variance721890.2
MonotonicityNot monotonic
2024-05-11T06:56:52.192903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208405.594989721 2
 
1.2%
209579.542671166 2
 
1.2%
207714.774553422 1
 
0.6%
206503.231215156 1
 
0.6%
208446.504307378 1
 
0.6%
208473.017245962 1
 
0.6%
206899.050411188 1
 
0.6%
206623.567642192 1
 
0.6%
206638.856459236 1
 
0.6%
206434.297984115 1
 
0.6%
Other values (151) 151
92.6%
ValueCountFrequency (%)
206317.991201362 1
0.6%
206374.007001748 1
0.6%
206382.468568917 1
0.6%
206416.524841825 1
0.6%
206419.157895196 1
0.6%
206434.297984115 1
0.6%
206503.231215156 1
0.6%
206523.466193527 1
0.6%
206526.002200022 1
0.6%
206539.318792315 1
0.6%
ValueCountFrequency (%)
209856.1161416 1
0.6%
209652.376375441 1
0.6%
209646.142554388 1
0.6%
209579.542671166 2
1.2%
209508.281405411 1
0.6%
209397.06097793 1
0.6%
209328.918216494 1
0.6%
209315.772806876 1
0.6%
209208.236728444 1
0.6%
209198.480068799 1
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct161
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455111.72
Minimum452290.25
Maximum457380.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T06:56:52.786880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452290.25
5-th percentile452668.1
Q1453958.92
median455344.69
Q3456222.15
95-th percentile457112.16
Maximum457380.93
Range5090.6861
Interquartile range (IQR)2263.2273

Descriptive statistics

Standard deviation1417.1032
Coefficient of variation (CV)0.0031137479
Kurtosis-1.0056123
Mean455111.72
Median Absolute Deviation (MAD)1169.8543
Skewness-0.30987796
Sum74183210
Variance2008181.4
MonotonicityNot monotonic
2024-05-11T06:56:53.443879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453228.74987746 2
 
1.2%
455549.589368255 2
 
1.2%
453366.468204489 1
 
0.6%
456777.439262446 1
 
0.6%
456048.562552443 1
 
0.6%
455715.158720427 1
 
0.6%
454761.723685432 1
 
0.6%
454099.73637504 1
 
0.6%
456361.955953229 1
 
0.6%
456466.677674703 1
 
0.6%
Other values (151) 151
92.6%
ValueCountFrequency (%)
452290.247747455 1
0.6%
452350.907653737 1
0.6%
452384.5394623 1
0.6%
452419.12647681 1
0.6%
452454.89800934 1
0.6%
452496.523028659 1
0.6%
452550.177649225 1
0.6%
452580.012274859 1
0.6%
452666.306495265 1
0.6%
452684.199124595 1
0.6%
ValueCountFrequency (%)
457380.933864584 1
0.6%
457210.837407128 1
0.6%
457192.702138923 1
0.6%
457183.637796144 1
0.6%
457174.958326298 1
0.6%
457171.306312375 1
0.6%
457124.579968609 1
0.6%
457122.700436003 1
0.6%
457113.638411288 1
0.6%
457098.851430145 1
0.6%

비상시설위치
Text

MISSING 

Distinct106
Distinct (%)99.1%
Missing56
Missing (%)34.4%
Memory size1.4 KiB
2024-05-11T06:56:54.172999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length20.28972
Min length17

Characters and Unicode

Total characters2171
Distinct characters43
Distinct categories3 ?
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 (%)98.1%

Sample

1st row서울특별시 중랑구 면목동 715번지
2nd row서울특별시 중랑구 면목동 1501번지
3rd row서울특별시 중랑구 신내동 648번지
4th row서울특별시 중랑구 신내동 660번지
5th row서울특별시 중랑구 망우동 563번지 16호
ValueCountFrequency (%)
서울특별시 107
23.2%
중랑구 107
23.2%
면목동 36
 
7.8%
신내동 30
 
6.5%
망우동 15
 
3.2%
중화동 14
 
3.0%
상봉동 11
 
2.4%
1호 10
 
2.2%
495번지 2
 
0.4%
9호 2
 
0.4%
Other values (118) 128
27.7%
2024-05-11T06:56:55.745447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
16.4%
중 121
 
5.6%
지 108
 
5.0%
시 108
 
5.0%
서 107
 
4.9%
구 107
 
4.9%
번 107
 
4.9%
동 107
 
4.9%
울 107
 
4.9%
랑 107
 
4.9%
Other values (33) 837
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
66.3%
Decimal Number 377
 
17.4%
Space Separator 355
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 121
 
8.4%
지 108
 
7.5%
시 108
 
7.5%
서 107
 
7.4%
구 107
 
7.4%
번 107
 
7.4%
동 107
 
7.4%
울 107
 
7.4%
랑 107
 
7.4%
별 107
 
7.4%
Other values (22) 353
24.5%
Decimal Number
ValueCountFrequency (%)
1 78
20.7%
5 51
13.5%
4 35
9.3%
6 35
9.3%
7 33
8.8%
8 31
 
8.2%
2 31
 
8.2%
0 30
 
8.0%
3 28
 
7.4%
9 25
 
6.6%
Space Separator
ValueCountFrequency (%)
355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1439
66.3%
Common 732
33.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 121
 
8.4%
지 108
 
7.5%
시 108
 
7.5%
서 107
 
7.4%
구 107
 
7.4%
번 107
 
7.4%
동 107
 
7.4%
울 107
 
7.4%
랑 107
 
7.4%
별 107
 
7.4%
Other values (22) 353
24.5%
Common
ValueCountFrequency (%)
355
48.5%
1 78
 
10.7%
5 51
 
7.0%
4 35
 
4.8%
6 35
 
4.8%
7 33
 
4.5%
8 31
 
4.2%
2 31
 
4.2%
0 30
 
4.1%
3 28
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1439
66.3%
ASCII 732
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
355
48.5%
1 78
 
10.7%
5 51
 
7.0%
4 35
 
4.8%
6 35
 
4.8%
7 33
 
4.5%
8 31
 
4.2%
2 31
 
4.2%
0 30
 
4.1%
3 28
 
3.8%
Hangul
ValueCountFrequency (%)
중 121
 
8.4%
지 108
 
7.5%
시 108
 
7.5%
서 107
 
7.4%
구 107
 
7.4%
번 107
 
7.4%
동 107
 
7.4%
울 107
 
7.4%
랑 107
 
7.4%
별 107
 
7.4%
Other values (22) 353
24.5%

시설구분명
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공공용시설
106 
<NA>
56 
공공시설
 
1

Length

Max length5
Median length5
Mean length4.6503067
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
공공용시설 106
65.0%
<NA> 56
34.4%
공공시설 1
 
0.6%

Length

2024-05-11T06:56:56.407597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:56:56.929374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용시설 106
65.0%
na 56
34.4%
공공시설 1
 
0.6%

시설명_건물명
Text

MISSING 

Distinct107
Distinct (%)100.0%
Missing56
Missing (%)34.4%
Memory size1.4 KiB
2024-05-11T06:56:57.724504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length18.626168
Min length8

Characters and Unicode

Total characters1993
Distinct characters182
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st row늘푸른동아아파트(지하주차장 1~2층)
2nd row면목두산6단지아파트(지하주차장 1~2층)
3rd row디아뜨갤러리(지하주차장 1~2층)
4th row신내10단지아파트(1008동) 지하주차장1층
5th row이안빌딩(지하주차장 1층)
ValueCountFrequency (%)
1층 49
20.7%
1~2층 27
 
11.4%
지하주차장 14
 
5.9%
동의 13
 
5.5%
1~3층 9
 
3.8%
건영2차아파트(지하주차장 2
 
0.8%
성원아파트(지하주차장 2
 
0.8%
1~4층 2
 
0.8%
1~5층 2
 
0.8%
지하 2
 
0.8%
Other values (115) 115
48.5%
2024-05-11T06:56:58.958585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
6.5%
지 119
 
6.0%
1 117
 
5.9%
하 108
 
5.4%
층 107
 
5.4%
) 106
 
5.3%
( 106
 
5.3%
차 106
 
5.3%
주 101
 
5.1%
장 96
 
4.8%
Other values (172) 897
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1406
70.5%
Decimal Number 195
 
9.8%
Space Separator 130
 
6.5%
Close Punctuation 106
 
5.3%
Open Punctuation 106
 
5.3%
Math Symbol 46
 
2.3%
Dash Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 119
 
8.5%
하 108
 
7.7%
층 107
 
7.6%
차 106
 
7.5%
주 101
 
7.2%
장 96
 
6.8%
아 77
 
5.5%
트 70
 
5.0%
파 69
 
4.9%
동 32
 
2.3%
Other values (156) 521
37.1%
Decimal Number
ValueCountFrequency (%)
1 117
60.0%
2 43
 
22.1%
3 14
 
7.2%
4 5
 
2.6%
5 4
 
2.1%
0 4
 
2.1%
6 3
 
1.5%
8 2
 
1.0%
7 2
 
1.0%
9 1
 
0.5%
Space Separator
ValueCountFrequency (%)
130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Math Symbol
ValueCountFrequency (%)
~ 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1406
70.5%
Common 587
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 119
 
8.5%
하 108
 
7.7%
층 107
 
7.6%
차 106
 
7.5%
주 101
 
7.2%
장 96
 
6.8%
아 77
 
5.5%
트 70
 
5.0%
파 69
 
4.9%
동 32
 
2.3%
Other values (156) 521
37.1%
Common
ValueCountFrequency (%)
130
22.1%
1 117
19.9%
) 106
18.1%
( 106
18.1%
~ 46
 
7.8%
2 43
 
7.3%
3 14
 
2.4%
4 5
 
0.9%
5 4
 
0.7%
0 4
 
0.7%
Other values (6) 12
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1406
70.5%
ASCII 587
29.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
22.1%
1 117
19.9%
) 106
18.1%
( 106
18.1%
~ 46
 
7.8%
2 43
 
7.3%
3 14
 
2.4%
4 5
 
0.9%
5 4
 
0.7%
0 4
 
0.7%
Other values (6) 12
 
2.0%
Hangul
ValueCountFrequency (%)
지 119
 
8.5%
하 108
 
7.7%
층 107
 
7.6%
차 106
 
7.5%
주 101
 
7.2%
장 96
 
6.8%
아 77
 
5.5%
트 70
 
5.0%
파 69
 
4.9%
동 32
 
2.3%
Other values (156) 521
37.1%

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing163
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030600003060000-S1996000071996-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6102.0<NA>서울특별시 중랑구 면목동 495번지서울특별시 중랑구 사가정로 지하 393 (면목동, 사가정역)02228사가정역(지하 1~3층)2024-01-31 11:31:54U2023-12-02 00:02:00.0<NA>207714.774553453366.468204<NA><NA><NA><NA>
130600003060000-S2000000062000-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>15003.56<NA>서울특별시 중랑구 망우동 340번지 1호서울특별시 중랑구 망우로 455 (망우동)02060금란교회(지하주차장 3~6층)2023-09-08 13:49:43U2022-12-08 23:00:00.0<NA>209006.753434455382.097686<NA><NA><NA><NA>
230600003060000-S2011000382011-08-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>23959.0<NA>서울특별시 중랑구 묵동 387번지서울특별시 중랑구 공릉로18길 59 (묵동, 브라운스톤태릉아파트)02020브라운스톤아파트(지하주차장 1~2층)2023-11-22 09:37:57U2022-10-31 22:04:00.0<NA>207207.654789457380.933865<NA><NA><NA><NA>
330600003060000-S2011000232011-07-202023-10-174취소/말소/만료/정지/중지19사용중지2023-10-17<NA><NA><NA><NA>881.0<NA>서울특별시 중랑구 신내동 651번지서울특별시 중랑구 신내로21길 55 (신내동, 금성초등학교)02028금성초등학교(지하주차장 1층)2023-10-18 14:51:51U2022-10-30 22:00:00.0<NA>207845.049527456974.751062<NA><NA><NA><NA>
430600003060000-S2011000352011-08-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6331.0<NA>서울특별시 중랑구 묵동 386번지서울특별시 중랑구 공릉로2길 39 (묵동, 금호어울림아파트)02036금호어울림아파트(지하주차장 1층)2023-11-22 09:34:21U2022-10-31 22:04:00.0<NA>206997.618789456713.095863<NA><NA><NA><NA>
530600003060000-S2011000362011-08-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3659.0<NA>서울특별시 중랑구 묵동 383번지서울특별시 중랑구 숙선옹주로9길 25 (묵동, 세방아파트)02030세방아파트(지하주차장 1층)2023-11-22 09:36:40U2022-10-31 22:04:00.0<NA>207309.937063457012.966006<NA><NA><NA><NA>
630600003060000-S2011000372011-08-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2279.0<NA>서울특별시 중랑구 묵동 22번지 1호서울특별시 중랑구 신내로15길 189 (묵동, 중랑구민체육센터)02041구민체육센터(지하주차장 1층)2023-11-22 09:37:18U2022-10-31 22:04:00.0<NA>207653.333809456984.578184<NA><NA><NA><NA>
730600003060000-S2011000302011-08-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>26661.0<NA>서울특별시 중랑구 묵동 170번지 1호서울특별시 중랑구 동일로 932 (묵동, 묵동자이아파트)02033묵동자이아파트 2단지(지하주차장 2~4층)2023-11-22 09:29:50U2022-10-31 22:04:00.0<NA>206777.731391456837.219625<NA><NA><NA><NA>
830600003060000-S2011000322011-08-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>955.0<NA>서울특별시 중랑구 묵동 174번지 10호서울특별시 중랑구 공릉로4길 4 (묵동, 묵동해오름아파트)02034해오름아파트(지하주차장 1층)2023-11-22 09:31:34U2022-10-31 22:04:00.0<NA>206826.247746456754.652815<NA><NA><NA><NA>
930600003060000-S1999000021999-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11464.0<NA>서울특별시 중랑구 묵동 378번지서울특별시 중랑구 중랑천로 332 (묵동, 묵동한국아파트)02003한국아파트(지하주차장 1층~3층)2023-07-27 14:53:25U2022-12-06 22:09:00.0<NA>206419.157895456891.546354<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
15330600003060000-S1989000031989-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2277.0<NA>서울특별시 중랑구 상봉동 130번지 3호서울특별시 중랑구 망우로30길 3 (상봉동, 안산빌딩)02120메가박스 (구 : 뉴월드씨네마-지하주차장1층)2024-01-16 14:34:18U2023-11-30 23:08:00.0<NA>206526.0022454549.167447<NA><NA><NA><NA>
15430600003060000-S2024000012024-03-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>34020.0<NA>서울특별시 중랑구 묵동 396 이편한세상 화랑대서울특별시 중랑구 숙선옹주로 45 (묵동, 이편한세상 화랑대)02030이편한세상 화랑대아파트2024-03-12 16:07:27I2023-12-02 23:04:00.0<NA>207229.602868457098.85143<NA><NA><NA><NA>
15530600003060000-S2011000172011-07-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2839.0<NA>서울특별시 중랑구 면목동 1508번지서울특별시 중랑구 사가정로41길 59 (면목동, 면목동원베네스트)02222면목동원베네스트 (지하주차장 1층)2024-01-31 11:28:43U2023-12-02 00:02:00.0<NA>207349.569239453512.824806<NA><NA><NA><NA>
15630600003060000-S2007000152007-11-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2676.0<NA>서울특별시 중랑구 면목동 570번지서울특별시 중랑구 사가정로49길 56 (면목동, 까치어린이공원)02221까치공영주차장(지하 1층)2024-01-31 11:26:53U2023-12-02 00:02:00.0<NA>207644.006239453463.502147<NA><NA><NA><NA>
15730600003060000-S1988000021998-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5656.0<NA>서울특별시 중랑구 면목동 1073번지서울특별시 중랑구 사가정로71길 11 (면목동, 용마2차한신아파트)02196용마한신2차아파트(지하주차장 1~2층)2024-01-31 11:33:15U2023-12-02 00:02:00.0<NA>208273.128531453200.928775<NA><NA><NA><NA>
15830600003060000-S1998000071998-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1983.0<NA>서울특별시 중랑구 면목동 1517번지서울특별시 중랑구 용마산로94길 91 (면목동, 진로아파트)02190면목진로아파트(지하주차장 1~2층)2024-01-31 11:29:03U2023-12-02 00:02:00.0<NA>208913.479017453955.418528<NA><NA><NA><NA>
15930600003060000-S1994000061994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>783.0<NA>서울특별시 중랑구 면목동 584번지 4호서울특별시 중랑구 사가정로41길 34 (면목동, 진광교회)02227진광교회(지하주차장 1층)2024-01-31 11:33:50U2023-12-02 00:02:00.0<NA>207398.340937453384.177876<NA><NA><NA><NA>
16030600003060000-S1992000041992-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5435.0<NA>서울특별시 중랑구 면목동 494 용마금호타운서울특별시 중랑구 용마산로 348 (면목동, 용마금호타운)02194용마금호타운(지하주차장 1층)2024-01-31 11:32:15U2023-12-02 00:02:00.0<NA>208256.714967453389.146878<NA><NA><NA><NA>
16130600003060000-S1990000031990-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>567.0<NA>서울특별시 중랑구 면목동 1077번지 1호서울특별시 중랑구 사가정로71길 19 (면목동, 용마한신아파트)02196용마한신1차아파트3동(지하1층)2024-01-31 11:32:53U2023-12-02 00:02:00.0<NA>208405.59499453228.749877<NA><NA><NA><NA>
16230600003060000-S1990000021990-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>367.0<NA>서울특별시 중랑구 면목동 1077번지 1호서울특별시 중랑구 사가정로71길 19 (면목동, 용마한신아파트)02196용마한신아파트1차 상가 (지하주차장 1층)2024-01-31 11:33:32U2023-12-02 00:02:00.0<NA>208405.59499453228.749877<NA><NA><NA><NA>