Overview

Dataset statistics

Number of variables29
Number of observations169
Missing cells2028
Missing cells (%)41.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.2 KiB
Average record size in memory249.8 B

Variable types

Categorical6
Text4
DateTime5
Unsupported10
Numeric4

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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20042/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
영업상태코드 is highly imbalanced (90.7%)Imbalance
영업상태명 is highly imbalanced (90.7%)Imbalance
상세영업상태코드 is highly imbalanced (90.7%)Imbalance
상세영업상태명 is highly imbalanced (90.7%)Imbalance
인허가취소일자 has 167 (98.8%) missing valuesMissing
폐업일자 has 167 (98.8%) missing valuesMissing
휴업시작일자 has 169 (100.0%) missing valuesMissing
휴업종료일자 has 169 (100.0%) missing valuesMissing
재개업일자 has 169 (100.0%) missing valuesMissing
전화번호 has 169 (100.0%) missing valuesMissing
소재지우편번호 has 169 (100.0%) missing valuesMissing
업태구분명 has 169 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.2%) missing valuesMissing
좌표정보(Y) has 2 (1.2%) missing valuesMissing
비상시설위치 has 169 (100.0%) missing valuesMissing
시설구분명 has 169 (100.0%) missing valuesMissing
시설명_건물명 has 169 (100.0%) missing valuesMissing
해제일자 has 169 (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
비상시설위치 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설명_건물명 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 07:24:05.761351
Analysis finished2024-05-11 07:24:06.829904
Duration1.07 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
3150000
169 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 169
100.0%

Length

2024-05-11T07:24:07.036387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:24:07.365339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 169
100.0%

관리번호
Text

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T07:24:07.913863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters3042
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

Unique169 ?
Unique (%)100.0%

Sample

1st row3150000-S201800001
2nd row3150000-S201700002
3rd row3150000-S200900002
4th row3150000-S201100003
5th row3150000-S200900013
ValueCountFrequency (%)
3150000-s201800001 1
 
0.6%
3150000-s199900342 1
 
0.6%
3150000-s199900327 1
 
0.6%
3150000-s199900452 1
 
0.6%
3150000-s199900335 1
 
0.6%
3150000-s199900379 1
 
0.6%
3150000-s200900014 1
 
0.6%
3150000-s201100001 1
 
0.6%
3150000-s200900011 1
 
0.6%
3150000-s200900012 1
 
0.6%
Other values (159) 159
94.1%
2024-05-11T07:24:09.002894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1304
42.9%
1 377
 
12.4%
9 278
 
9.1%
3 246
 
8.1%
5 205
 
6.7%
- 169
 
5.6%
S 169
 
5.6%
2 155
 
5.1%
4 54
 
1.8%
6 30
 
1.0%
Other values (2) 55
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2704
88.9%
Dash Punctuation 169
 
5.6%
Uppercase Letter 169
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1304
48.2%
1 377
 
13.9%
9 278
 
10.3%
3 246
 
9.1%
5 205
 
7.6%
2 155
 
5.7%
4 54
 
2.0%
6 30
 
1.1%
7 30
 
1.1%
8 25
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2873
94.4%
Latin 169
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1304
45.4%
1 377
 
13.1%
9 278
 
9.7%
3 246
 
8.6%
5 205
 
7.1%
- 169
 
5.9%
2 155
 
5.4%
4 54
 
1.9%
6 30
 
1.0%
7 30
 
1.0%
Latin
ValueCountFrequency (%)
S 169
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1304
42.9%
1 377
 
12.4%
9 278
 
9.1%
3 246
 
8.1%
5 205
 
6.7%
- 169
 
5.6%
S 169
 
5.6%
2 155
 
5.1%
4 54
 
1.8%
6 30
 
1.0%
Other values (2) 55
 
1.8%

인허가일자
Date

Distinct38
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1990-09-01 00:00:00
Maximum2019-11-29 00:00:00
2024-05-11T07:24:09.451800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:24:09.911961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

인허가취소일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing167
Missing (%)98.8%
Memory size1.4 KiB
Minimum2023-11-07 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T07:24:10.356766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:24:10.830328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
167 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 167
98.8%
4 2
 
1.2%

Length

2024-05-11T07:24:11.402872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:24:11.726278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 167
98.8%
4 2
 
1.2%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
167 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length5.1065089
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 167
98.8%
취소/말소/만료/정지/중지 2
 
1.2%

Length

2024-05-11T07:24:12.136683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:24:12.534198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 167
98.8%
취소/말소/만료/정지/중지 2
 
1.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
18
167 
19
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
18 167
98.8%
19 2
 
1.2%

Length

2024-05-11T07:24:12.889577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:24:13.256648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
18 167
98.8%
19 2
 
1.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
사용중
167 
사용중지
 
2

Length

Max length4
Median length3
Mean length3.0118343
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중 167
98.8%
사용중지 2
 
1.2%

Length

2024-05-11T07:24:13.630260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:24:13.975735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중 167
98.8%
사용중지 2
 
1.2%

폐업일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing167
Missing (%)98.8%
Memory size1.4 KiB
Minimum2023-11-07 00:00:00
Maximum2023-11-15 00:00:00
2024-05-11T07:24:14.277129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:24:14.593100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

소재지면적
Real number (ℝ)

Distinct154
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11693.875
Minimum266.6
Maximum109330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T07:24:15.027717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum266.6
5-th percentile639.452
Q11719.02
median4453.07
Q310691.7
95-th percentile62611.288
Maximum109330
Range109063.4
Interquartile range (IQR)8972.68

Descriptive statistics

Standard deviation20133.054
Coefficient of variation (CV)1.7216752
Kurtosis10.258787
Mean11693.875
Median Absolute Deviation (MAD)3391.93
Skewness3.1584215
Sum1976264.9
Variance4.0533986 × 108
MonotonicityNot monotonic
2024-05-11T07:24:15.620831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
997.25 6
 
3.6%
2935.55 4
 
2.4%
1278.52 4
 
2.4%
3867.79 3
 
1.8%
1719.02 2
 
1.2%
2190.1 2
 
1.2%
580.18 1
 
0.6%
19425.0 1
 
0.6%
8338.07 1
 
0.6%
6870.75 1
 
0.6%
Other values (144) 144
85.2%
ValueCountFrequency (%)
266.6 1
0.6%
310.75 1
0.6%
320.0 1
0.6%
393.39 1
0.6%
422.45 1
0.6%
505.0 1
0.6%
580.18 1
0.6%
614.88 1
0.6%
636.0 1
0.6%
644.63 1
0.6%
ValueCountFrequency (%)
109330.0 1
0.6%
106725.0 1
0.6%
101033.0 1
0.6%
90988.0 1
0.6%
80517.01 1
0.6%
75008.0 1
0.6%
72126.0 1
0.6%
63826.0 1
0.6%
63322.6 1
0.6%
61544.32 1
0.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

지번주소
Text

Distinct145
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T07:24:16.507599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length20.846154
Min length19

Characters and Unicode

Total characters3523
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)81.1%

Sample

1st row서울특별시 강서구 등촌동 562번지 5호
2nd row서울특별시 강서구 마곡동 748번지
3rd row서울특별시 강서구 방화동 875번지
4th row서울특별시 강서구 염창동 300번지
5th row서울특별시 강서구 가양동 14번지 61호
ValueCountFrequency (%)
서울특별시 169
22.7%
강서구 169
22.7%
화곡동 49
 
6.6%
방화동 40
 
5.4%
등촌동 20
 
2.7%
마곡동 16
 
2.1%
가양동 16
 
2.1%
내발산동 14
 
1.9%
1호 13
 
1.7%
염창동 11
 
1.5%
Other values (174) 229
30.7%
2024-05-11T07:24:17.923007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
577
16.4%
서 338
 
9.6%
동 171
 
4.9%
시 170
 
4.8%
특 169
 
4.8%
별 169
 
4.8%
강 169
 
4.8%
구 169
 
4.8%
울 169
 
4.8%
지 164
 
4.7%
Other values (48) 1258
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2301
65.3%
Decimal Number 638
 
18.1%
Space Separator 577
 
16.4%
Dash Punctuation 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 338
14.7%
동 171
 
7.4%
시 170
 
7.4%
특 169
 
7.3%
별 169
 
7.3%
강 169
 
7.3%
구 169
 
7.3%
울 169
 
7.3%
지 164
 
7.1%
번 163
 
7.1%
Other values (34) 450
19.6%
Decimal Number
ValueCountFrequency (%)
1 135
21.2%
8 89
13.9%
4 63
9.9%
7 60
9.4%
9 58
9.1%
6 57
8.9%
3 48
 
7.5%
0 45
 
7.1%
5 42
 
6.6%
2 41
 
6.4%
Space Separator
ValueCountFrequency (%)
577
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2301
65.3%
Common 1222
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 338
14.7%
동 171
 
7.4%
시 170
 
7.4%
특 169
 
7.3%
별 169
 
7.3%
강 169
 
7.3%
구 169
 
7.3%
울 169
 
7.3%
지 164
 
7.1%
번 163
 
7.1%
Other values (34) 450
19.6%
Common
ValueCountFrequency (%)
577
47.2%
1 135
 
11.0%
8 89
 
7.3%
4 63
 
5.2%
7 60
 
4.9%
9 58
 
4.7%
6 57
 
4.7%
3 48
 
3.9%
0 45
 
3.7%
5 42
 
3.4%
Other values (4) 48
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2301
65.3%
ASCII 1222
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
577
47.2%
1 135
 
11.0%
8 89
 
7.3%
4 63
 
5.2%
7 60
 
4.9%
9 58
 
4.7%
6 57
 
4.7%
3 48
 
3.9%
0 45
 
3.7%
5 42
 
3.4%
Other values (4) 48
 
3.9%
Hangul
ValueCountFrequency (%)
서 338
14.7%
동 171
 
7.4%
시 170
 
7.4%
특 169
 
7.3%
별 169
 
7.3%
강 169
 
7.3%
구 169
 
7.3%
울 169
 
7.3%
지 164
 
7.1%
번 163
 
7.1%
Other values (34) 450
19.6%

도로명주소
Text

Distinct145
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T07:24:18.551869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length34.83432
Min length23

Characters and Unicode

Total characters5887
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)81.1%

Sample

1st row서울특별시 강서구 등촌로 113 (등촌동, 그린임광아파트)
2nd row서울특별시 강서구 마곡중앙1로 71 (마곡동, 마곡13단지힐스테이트마스터)
3rd row서울특별시 강서구 방화대로45길 32 (방화동, 동부센트레빌아파트)
4th row서울특별시 강서구 양천로63길 38 (염창동, 강변한솔솔파크)
5th row서울특별시 강서구 양천로 지하 485 (가양동, 가양역)
ValueCountFrequency (%)
서울특별시 169
 
16.5%
강서구 169
 
16.5%
화곡동 48
 
4.7%
방화동 40
 
3.9%
등촌동 20
 
1.9%
가양동 16
 
1.6%
마곡동 16
 
1.6%
지하 15
 
1.5%
내발산동 14
 
1.4%
공항대로 12
 
1.2%
Other values (329) 508
49.5%
2024-05-11T07:24:19.716777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
858
 
14.6%
서 372
 
6.3%
강 200
 
3.4%
동 186
 
3.2%
화 184
 
3.1%
) 174
 
3.0%
( 174
 
3.0%
울 172
 
2.9%
구 172
 
2.9%
시 172
 
2.9%
Other values (211) 3223
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3818
64.9%
Space Separator 858
 
14.6%
Decimal Number 681
 
11.6%
Close Punctuation 174
 
3.0%
Open Punctuation 174
 
3.0%
Other Punctuation 165
 
2.8%
Dash Punctuation 10
 
0.2%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 372
 
9.7%
강 200
 
5.2%
동 186
 
4.9%
화 184
 
4.8%
울 172
 
4.5%
구 172
 
4.5%
시 172
 
4.5%
로 171
 
4.5%
별 169
 
4.4%
특 169
 
4.4%
Other values (190) 1851
48.5%
Decimal Number
ValueCountFrequency (%)
1 133
19.5%
2 78
11.5%
7 78
11.5%
3 77
11.3%
5 69
10.1%
4 66
9.7%
0 56
8.2%
6 54
7.9%
8 40
 
5.9%
9 30
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
n 2
28.6%
o 2
28.6%
y 1
14.3%
l 1
14.3%
e 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 164
99.4%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
858
100.0%
Close Punctuation
ValueCountFrequency (%)
) 174
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3818
64.9%
Common 2062
35.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 372
 
9.7%
강 200
 
5.2%
동 186
 
4.9%
화 184
 
4.8%
울 172
 
4.5%
구 172
 
4.5%
시 172
 
4.5%
로 171
 
4.5%
별 169
 
4.4%
특 169
 
4.4%
Other values (190) 1851
48.5%
Common
ValueCountFrequency (%)
858
41.6%
) 174
 
8.4%
( 174
 
8.4%
, 164
 
8.0%
1 133
 
6.5%
2 78
 
3.8%
7 78
 
3.8%
3 77
 
3.7%
5 69
 
3.3%
4 66
 
3.2%
Other values (6) 191
 
9.3%
Latin
ValueCountFrequency (%)
n 2
28.6%
o 2
28.6%
y 1
14.3%
l 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3818
64.9%
ASCII 2069
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
858
41.5%
) 174
 
8.4%
( 174
 
8.4%
, 164
 
7.9%
1 133
 
6.4%
2 78
 
3.8%
7 78
 
3.8%
3 77
 
3.7%
5 69
 
3.3%
4 66
 
3.2%
Other values (11) 198
 
9.6%
Hangul
ValueCountFrequency (%)
서 372
 
9.7%
강 200
 
5.2%
동 186
 
4.9%
화 184
 
4.8%
울 172
 
4.5%
구 172
 
4.5%
시 172
 
4.5%
로 171
 
4.5%
별 169
 
4.4%
특 169
 
4.4%
Other values (190) 1851
48.5%

도로명우편번호
Real number (ℝ)

Distinct109
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7629.9467
Minimum7505
Maximum7811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T07:24:20.149652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7510
Q17529
median7619
Q37724
95-th percentile7796
Maximum7811
Range306
Interquartile range (IQR)195

Descriptive statistics

Standard deviation101.30607
Coefficient of variation (CV)0.013277428
Kurtosis-1.3055505
Mean7629.9467
Median Absolute Deviation (MAD)93
Skewness0.3479415
Sum1289461
Variance10262.92
MonotonicityNot monotonic
2024-05-11T07:24:20.821293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7519 8
 
4.7%
7703 7
 
4.1%
7510 6
 
3.6%
7513 6
 
3.6%
7787 5
 
3.0%
7509 4
 
2.4%
7781 3
 
1.8%
7532 3
 
1.8%
7526 3
 
1.8%
7638 3
 
1.8%
Other values (99) 121
71.6%
ValueCountFrequency (%)
7505 2
 
1.2%
7507 1
 
0.6%
7508 1
 
0.6%
7509 4
2.4%
7510 6
3.6%
7511 1
 
0.6%
7513 6
3.6%
7514 2
 
1.2%
7517 1
 
0.6%
7518 1
 
0.6%
ValueCountFrequency (%)
7811 1
0.6%
7809 1
0.6%
7808 2
1.2%
7804 1
0.6%
7803 1
0.6%
7800 1
0.6%
7798 1
0.6%
7796 2
1.2%
7795 1
0.6%
7793 1
0.6%

사업장명
Text

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T07:24:21.601018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length18.213018
Min length8

Characters and Unicode

Total characters3078
Distinct characters209
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)100.0%

Sample

1st row그린임광아파트 지하주차장 1~2층
2nd row마곡13단지힐스테이트마스터 지하주차장 1~2층
3rd row동부센트레빌아파트 지하주차장 1~2층
4th row강변한솔솔파크 지하주차장 1~2 층
5th row가양역 지하 1층
ValueCountFrequency (%)
지하주차장 140
25.8%
1층 93
17.1%
1~2층 41
 
7.6%
지하 16
 
2.9%
화곡푸르지오 7
 
1.3%
1~3층 6
 
1.1%
방화4단지아파트 6
 
1.1%
지하1~2층 4
 
0.7%
2층 4
 
0.7%
방화5단지아파트 4
 
0.7%
Other values (195) 222
40.9%
2024-05-11T07:24:22.767965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
374
 
12.2%
지 239
 
7.8%
1 223
 
7.2%
하 174
 
5.7%
층 169
 
5.5%
장 152
 
4.9%
주 151
 
4.9%
차 148
 
4.8%
파 105
 
3.4%
트 100
 
3.2%
Other values (199) 1243
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2166
70.4%
Decimal Number 444
 
14.4%
Space Separator 374
 
12.2%
Math Symbol 75
 
2.4%
Uppercase Letter 8
 
0.3%
Dash Punctuation 5
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 239
 
11.0%
하 174
 
8.0%
층 169
 
7.8%
장 152
 
7.0%
주 151
 
7.0%
차 148
 
6.8%
파 105
 
4.8%
트 100
 
4.6%
아 96
 
4.4%
동 56
 
2.6%
Other values (180) 776
35.8%
Decimal Number
ValueCountFrequency (%)
1 223
50.2%
2 88
 
19.8%
4 32
 
7.2%
3 30
 
6.8%
0 29
 
6.5%
5 17
 
3.8%
6 10
 
2.3%
8 6
 
1.4%
9 6
 
1.4%
7 3
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
L 3
37.5%
G 3
37.5%
T 1
 
12.5%
K 1
 
12.5%
Space Separator
ValueCountFrequency (%)
374
100.0%
Math Symbol
ValueCountFrequency (%)
~ 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2166
70.4%
Common 904
29.4%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 239
 
11.0%
하 174
 
8.0%
층 169
 
7.8%
장 152
 
7.0%
주 151
 
7.0%
차 148
 
6.8%
파 105
 
4.8%
트 100
 
4.6%
아 96
 
4.4%
동 56
 
2.6%
Other values (180) 776
35.8%
Common
ValueCountFrequency (%)
374
41.4%
1 223
24.7%
2 88
 
9.7%
~ 75
 
8.3%
4 32
 
3.5%
3 30
 
3.3%
0 29
 
3.2%
5 17
 
1.9%
6 10
 
1.1%
8 6
 
0.7%
Other values (5) 20
 
2.2%
Latin
ValueCountFrequency (%)
L 3
37.5%
G 3
37.5%
T 1
 
12.5%
K 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2166
70.4%
ASCII 912
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
374
41.0%
1 223
24.5%
2 88
 
9.6%
~ 75
 
8.2%
4 32
 
3.5%
3 30
 
3.3%
0 29
 
3.2%
5 17
 
1.9%
6 10
 
1.1%
8 6
 
0.7%
Other values (9) 28
 
3.1%
Hangul
ValueCountFrequency (%)
지 239
 
11.0%
하 174
 
8.0%
층 169
 
7.8%
장 152
 
7.0%
주 151
 
7.0%
차 148
 
6.8%
파 105
 
4.8%
트 100
 
4.6%
아 96
 
4.4%
동 56
 
2.6%
Other values (180) 776
35.8%

최종수정일자
Date

UNIQUE 

Distinct169
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2023-06-01 07:56:40
Maximum2024-02-05 14:12:23
2024-05-11T07:24:23.240778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:24:23.681661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
U
169 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 169
100.0%

Length

2024-05-11T07:24:24.073569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:24:24.385953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 169
100.0%

데이터갱신일자
Date

Distinct10
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-10-31 23:07:00
Maximum2024-04-18 13:09:08.289765
2024-05-11T07:24:24.665082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:24:25.058539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)85.6%
Missing2
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean190110.69
Minimum182524.82
Maximum940083.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T07:24:25.458622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182524.82
5-th percentile183169.08
Q1183953.14
median185813.15
Q3186891.24
95-th percentile188294.29
Maximum940083.76
Range757558.94
Interquartile range (IQR)2938.1026

Descriptive statistics

Standard deviation58408.511
Coefficient of variation (CV)0.30723423
Kurtosis166.71784
Mean190110.69
Median Absolute Deviation (MAD)1371.0636
Skewness12.906566
Sum31748485
Variance3.4115542 × 109
MonotonicityNot monotonic
2024-05-11T07:24:25.844615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185034.346957949 7
 
4.1%
183937.7403014 6
 
3.6%
183558.654942027 6
 
3.6%
183169.082562086 4
 
2.4%
183372.025068083 3
 
1.8%
183808.07238788 2
 
1.2%
183408.331258057 2
 
1.2%
182524.823835629 2
 
1.2%
188359.565502697 1
 
0.6%
940083.759083 1
 
0.6%
Other values (133) 133
78.7%
(Missing) 2
 
1.2%
ValueCountFrequency (%)
182524.823835629 2
1.2%
182770.934381818 1
 
0.6%
182929.561795629 1
 
0.6%
182977.186875111 1
 
0.6%
183008.380596155 1
 
0.6%
183111.12908033 1
 
0.6%
183160.781059782 1
 
0.6%
183169.082562086 4
2.4%
183187.881462944 1
 
0.6%
183195.395147438 1
 
0.6%
ValueCountFrequency (%)
940083.759083 1
0.6%
189098.806779959 1
0.6%
188900.027366804 1
0.6%
188844.263978802 1
0.6%
188798.189527387 1
0.6%
188611.328289129 1
0.6%
188365.820485803 1
0.6%
188359.565502697 1
0.6%
188295.158516659 1
0.6%
188292.275479153 1
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct143
Distinct (%)85.6%
Missing2
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean459454.28
Minimum447403.83
Maximum1952577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T07:24:26.312204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447403.83
5-th percentile447548.68
Q1449164.97
median450595
Q3451802.05
95-th percentile452788.32
Maximum1952577
Range1505173.2
Interquartile range (IQR)2637.0777

Descriptive statistics

Standard deviation116248.95
Coefficient of variation (CV)0.25301527
Kurtosis166.93209
Mean459454.28
Median Absolute Deviation (MAD)1264.7152
Skewness12.91893
Sum76728865
Variance1.3513818 × 1010
MonotonicityNot monotonic
2024-05-11T07:24:26.887996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449164.972451344 7
 
4.1%
452514.491608298 6
 
3.6%
452761.493153691 6
 
3.6%
452783.158197133 4
 
2.4%
453178.305694113 3
 
1.8%
452461.206650502 2
 
1.2%
452609.747794827 2
 
1.2%
451438.25089679 2
 
1.2%
450325.838493988 1
 
0.6%
1952577.039191 1
 
0.6%
Other values (133) 133
78.7%
(Missing) 2
 
1.2%
ValueCountFrequency (%)
447403.830446836 1
0.6%
447419.540000413 1
0.6%
447433.523553359 1
0.6%
447443.916878465 1
0.6%
447467.659446196 1
0.6%
447487.80045526 1
0.6%
447496.184827564 1
0.6%
447538.027901623 1
0.6%
447544.529268496 1
0.6%
447558.373870105 1
0.6%
ValueCountFrequency (%)
1952577.039191 1
 
0.6%
453178.305694113 3
1.8%
453050.733807442 1
 
0.6%
453016.85493941 1
 
0.6%
452922.98039021 1
 
0.6%
452817.469477897 1
 
0.6%
452790.535366833 1
 
0.6%
452783.158197133 4
2.4%
452767.33841339 1
 
0.6%
452761.493153691 6
3.6%

비상시설위치
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

시설구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

시설명_건물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

해제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing169
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031500003150000-S2018000012018-01-08<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>6098.88<NA>서울특별시 강서구 등촌동 562번지 5호서울특별시 강서구 등촌로 113 (등촌동, 그린임광아파트)7672그린임광아파트 지하주차장 1~2층2024-02-01 13:58:52U2023-12-02 00:03:00.0<NA>187855.026379448700.667216<NA><NA><NA><NA>
131500003150000-S2017000022017-07-04<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>61544.32<NA>서울특별시 강서구 마곡동 748번지서울특별시 강서구 마곡중앙1로 71 (마곡동, 마곡13단지힐스테이트마스터)7809마곡13단지힐스테이트마스터 지하주차장 1~2층2024-02-01 08:38:07U2023-12-02 00:03:00.0<NA>183882.425598450626.281037<NA><NA><NA><NA>
231500003150000-S2009000022009-02-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>21661.0<NA>서울특별시 강서구 방화동 875번지서울특별시 강서구 방화대로45길 32 (방화동, 동부센트레빌아파트)7517동부센트레빌아파트 지하주차장 1~2층2024-02-02 08:56:55U2023-12-02 00:04:00.0<NA>183585.729348452506.328501<NA><NA><NA><NA>
331500003150000-S2011000032011-06-08<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>14200.0<NA>서울특별시 강서구 염창동 300번지서울특별시 강서구 양천로63길 38 (염창동, 강변한솔솔파크)7546강변한솔솔파크 지하주차장 1~2 층2024-01-31 15:38:53U2023-12-02 00:02:00.0<NA>188139.035117450498.710264<NA><NA><NA><NA>
431500003150000-S2009000132009-10-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3812.6<NA>서울특별시 강서구 가양동 14번지 61호서울특별시 강서구 양천로 지하 485 (가양동, 가양역)7526가양역 지하 1층2024-02-03 15:43:23U2023-12-02 00:05:00.0<NA>187030.540458451063.512879<NA><NA><NA><NA>
531500003150000-S2009000072009-03-31<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3400.0<NA>서울특별시 강서구 가양동 1480번지 6호서울특별시 강서구 양천로57길 10-10 (가양동, 탐라영재관)7526탐라영재관 지하주차장 2~3층2024-02-03 11:04:28U2023-12-02 00:05:00.0<NA>186920.984828451175.09722<NA><NA><NA><NA>
631500003150000-S2017000012017-07-04<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>16582.46<NA>서울특별시 강서구 마곡동 746번지 1호서울특별시 강서구 공항대로 140-0 (마곡동, 마곡엠밸리12단지)7808마곡엠밸리12단지 지하주차장 1~2층2024-02-01 08:35:39U2023-12-02 00:03:00.0<NA>184285.200469450783.326303<NA><NA><NA><NA>
731500003150000-S2016000022016-11-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>57077.0<NA>서울특별시 강서구 마곡동 751번지서울특별시 강서구 마곡중앙로 36 (마곡동, 마곡엠밸리15단지)7811마곡엠밸리15단지 지하주차장 1~2층2024-02-01 08:37:19U2023-12-02 00:03:00.0<NA>184743.389113450511.287375<NA><NA><NA><NA>
831500003150000-S2016000042016-11-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>15359.0<NA>서울특별시 강서구 마곡동 746번지서울특별시 강서구 공항대로 124-0 (마곡동)7808마곡엠밸리11단지 지하주차장 1~2층2024-02-01 08:35:08U2023-12-02 00:03:00.0<NA>184123.663823450801.154256<NA><NA><NA><NA>
931500003150000-S2016000012016-11-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>63826.0<NA>서울특별시 강서구 마곡동 750번지서울특별시 강서구 마곡중앙로 33 (마곡동, 마곡엠밸리14단지)7630마곡엠밸리14단지 지하주차장 1~2층2024-02-01 08:36:55U2023-12-02 00:03:00.0<NA>184447.069358450544.556251<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
15931500003150000-S1999003461999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>11416.0<NA>서울특별시 강서구 가양동 1474번지서울특별시 강서구 허준로 121 (가양동, 대림경동아파트)7525대림경동아파트 지하주차장 1층2024-02-03 11:03:09U2023-12-02 00:05:00.0<NA>187034.317305451572.87705<NA><NA><NA><NA>
16031500003150000-S1999003311999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1960.34<NA>서울특별시 강서구 화곡동 1089번지 3호서울특별시 강서구 강서로 지하 262 (화곡동, 우장산역 5호선)7691우장산역 지하1층2024-02-03 11:06:03U2023-12-02 00:05:00.0<NA>185474.55481449674.998816<NA><NA><NA><NA>
16131500003150000-S1999005231999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1278.52<NA>서울특별시 강서구 방화동 839번지서울특별시 강서구 방화대로48길 40 (방화동, 방화2단지아파트)7519방화2단지아파트 201동 지하주차장 1층2024-02-03 11:17:25U2023-12-02 00:05:00.0<NA>183937.740301452514.491608<NA><NA><NA><NA>
16231500003150000-S1009000011999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>3889.0<NA>서울특별시 강서구 화곡동 836번지 13호서울특별시 강서구 곰달래로47길 18 (화곡동, 성석교회)7749성석교회 지하주차장 1~4층2024-02-03 11:50:23U2023-12-02 00:05:00.0<NA><NA><NA><NA><NA><NA><NA>
16331500003150000-S1999005261999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>997.25<NA>서울특별시 강서구 방화동 831번지서울특별시 강서구 방화대로47가길 22 (방화동, 방화4단지아파트)7513방화4단지아파트 401동 지하주차장 1층2024-02-03 11:18:23U2023-12-02 00:05:00.0<NA>183558.654942452761.493154<NA><NA><NA><NA>
16431500003150000-S1999005281999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2644.64<NA>서울특별시 강서구 방화동 816번지서울특별시 강서구 금낭화로23길 25 (방화동, 방화6단지아파트)7510방화6단지아파트 604동 지하주차장 1층2024-02-03 11:19:03U2023-12-02 00:05:00.0<NA>183235.979671452922.98039<NA><NA><NA><NA>
16531500003150000-S1999004061999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>988.0<NA>서울특별시 강서구 내발산동 716번지 16호서울특별시 강서구 강서로47라길 79 (내발산동, 그린씨티아파트)7638그린씨티아파트 지하주차장 1층2024-02-03 11:07:56U2023-12-02 00:05:00.0<NA>185193.158042449722.914292<NA><NA><NA><NA>
16631500003150000-S1999005311999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>935.54<NA>서울특별시 강서구 방화동 807번지서울특별시 강서구 양천로11길 57 (방화동, 방화9단지아파트)7507방화9단지아파트 902동 지하주차장 1층2024-02-03 11:20:04U2023-12-02 00:05:00.0<NA>182929.561796452526.699107<NA><NA><NA><NA>
16731500003150000-S1999005321999-09-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>4023.16<NA>서울특별시 강서구 방화동 804번지서울특별시 강서구 금낭화로 258 (방화동, 방화10단지진로아파트)7508방화10단지진로아파트 지하주차장 1층2024-02-03 11:20:31U2023-12-02 00:05:00.0<NA>183008.380596452767.338413<NA><NA><NA><NA>
16831500003150000-S1996000031996-12-06<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1831.0<NA>서울특별시 강서구 화곡동 1026번지 12호서울특별시 강서구 강서로 206 (화곡동)7698서울큰나무병원 지하주차장 1~2층2024-02-03 11:32:49U2023-12-02 00:05:00.0<NA>185617.497942449153.637972<NA><NA><NA><NA>