Overview

Dataset statistics

Number of variables29
Number of observations140
Missing cells1359
Missing cells (%)33.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.9 KiB
Average record size in memory247.9 B

Variable types

Categorical7
Text7
DateTime3
Numeric6
Unsupported6

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-20017/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 56 (40.0%) missing valuesMissing
폐업일자 has 56 (40.0%) missing valuesMissing
휴업시작일자 has 140 (100.0%) missing valuesMissing
휴업종료일자 has 140 (100.0%) missing valuesMissing
재개업일자 has 140 (100.0%) missing valuesMissing
전화번호 has 140 (100.0%) missing valuesMissing
소재지우편번호 has 140 (100.0%) missing valuesMissing
지번주소 has 3 (2.1%) missing valuesMissing
도로명주소 has 50 (35.7%) missing valuesMissing
도로명우편번호 has 52 (37.1%) missing valuesMissing
업태구분명 has 140 (100.0%) missing valuesMissing
좌표정보(X) has 47 (33.6%) missing valuesMissing
좌표정보(Y) has 47 (33.6%) missing valuesMissing
비상시설위치 has 71 (50.7%) missing valuesMissing
시설명_건물명 has 68 (48.6%) missing valuesMissing
해제일자 has 69 (49.3%) missing valuesMissing
관리번호 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

Reproduction

Analysis started2024-05-11 08:00:33.223936
Analysis finished2024-05-11 08:00:33.848615
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3150000
140 

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 140
100.0%

Length

2024-05-11T17:00:33.924699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:34.049420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 140
100.0%

관리번호
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T17:00:34.270868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2520
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

Unique140 ?
Unique (%)100.0%

Sample

1st row3150000-E199200005
2nd row3150000-E200600001
3rd row3150000-E200600002
4th row3150000-E200600003
5th row3150000-E200600004
ValueCountFrequency (%)
3150000-e199200005 1
 
0.7%
3150000-e200700004 1
 
0.7%
3150000-e201100002 1
 
0.7%
3150000-e201100001 1
 
0.7%
3150000-e200700020 1
 
0.7%
3150000-e200700019 1
 
0.7%
3150000-e200700018 1
 
0.7%
3150000-e200700016 1
 
0.7%
3150000-e200700015 1
 
0.7%
3150000-e200700003 1
 
0.7%
Other values (130) 130
92.9%
2024-05-11T17:00:34.669668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1281
50.8%
1 223
 
8.8%
2 180
 
7.1%
3 177
 
7.0%
5 163
 
6.5%
- 140
 
5.6%
E 140
 
5.6%
6 106
 
4.2%
7 36
 
1.4%
4 27
 
1.1%
Other values (2) 47
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2240
88.9%
Dash Punctuation 140
 
5.6%
Uppercase Letter 140
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1281
57.2%
1 223
 
10.0%
2 180
 
8.0%
3 177
 
7.9%
5 163
 
7.3%
6 106
 
4.7%
7 36
 
1.6%
4 27
 
1.2%
8 26
 
1.2%
9 21
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2380
94.4%
Latin 140
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1281
53.8%
1 223
 
9.4%
2 180
 
7.6%
3 177
 
7.4%
5 163
 
6.8%
- 140
 
5.9%
6 106
 
4.5%
7 36
 
1.5%
4 27
 
1.1%
8 26
 
1.1%
Latin
ValueCountFrequency (%)
E 140
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1281
50.8%
1 223
 
8.8%
2 180
 
7.1%
3 177
 
7.0%
5 163
 
6.5%
- 140
 
5.6%
E 140
 
5.6%
6 106
 
4.2%
7 36
 
1.4%
4 27
 
1.1%
Other values (2) 47
 
1.9%

인허가일자
Date

Distinct24
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1992-09-21 00:00:00
Maximum2024-03-12 00:00:00
2024-05-11T17:00:34.826614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:34.952003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)51.2%
Missing56
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean20140736
Minimum20060320
Maximum20221229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:00:35.106432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060320
5-th percentile20060320
Q120101209
median20135554
Q320193362
95-th percentile20210976
Maximum20221229
Range160909
Interquartile range (IQR)92153

Descriptive statistics

Standard deviation51460.341
Coefficient of variation (CV)0.0025550378
Kurtosis-1.3910949
Mean20140736
Median Absolute Deviation (MAD)50110
Skewness-0.015415809
Sum1.6918218 × 109
Variance2.6481667 × 109
MonotonicityNot monotonic
2024-05-11T17:00:35.277775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20110614 11
 
7.9%
20200115 7
 
5.0%
20060320 6
 
4.3%
20120120 5
 
3.6%
20190211 3
 
2.1%
20150925 3
 
2.1%
20101209 3
 
2.1%
20201231 3
 
2.1%
20191111 2
 
1.4%
20080711 2
 
1.4%
Other values (33) 39
27.9%
(Missing) 56
40.0%
ValueCountFrequency (%)
20060320 6
4.3%
20060323 2
 
1.4%
20070116 1
 
0.7%
20070119 1
 
0.7%
20080418 1
 
0.7%
20080711 2
 
1.4%
20080714 2
 
1.4%
20080901 1
 
0.7%
20090615 1
 
0.7%
20100518 1
 
0.7%
ValueCountFrequency (%)
20221229 1
 
0.7%
20220603 1
 
0.7%
20211231 2
1.4%
20211020 1
 
0.7%
20210729 1
 
0.7%
20210427 1
 
0.7%
20210402 1
 
0.7%
20201231 3
2.1%
20200630 1
 
0.7%
20200624 2
1.4%

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
4
84 
1
56 

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 (%)
4 84
60.0%
1 56
40.0%

Length

2024-05-11T17:00:35.462579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:35.562267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 84
60.0%
1 56
40.0%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
취소/말소/만료/정지/중지
84 
영업/정상
56 

Length

Max length14
Median length14
Mean length10.4
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 (%)
취소/말소/만료/정지/중지 84
60.0%
영업/정상 56
40.0%

Length

2024-05-11T17:00:35.667214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:35.779495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 84
60.0%
영업/정상 56
40.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
19
84 
18
56 

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 (%)
19 84
60.0%
18 56
40.0%

Length

2024-05-11T17:00:35.912883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:36.044676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 84
60.0%
18 56
40.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
사용중지
84 
사용중
56 

Length

Max length4
Median length4
Mean length3.6
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 84
60.0%
사용중 56
40.0%

Length

2024-05-11T17:00:36.184552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:36.329126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 84
60.0%
사용중 56
40.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)51.2%
Missing56
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean20140736
Minimum20060320
Maximum20221229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:00:36.457422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060320
5-th percentile20060320
Q120101209
median20135554
Q320193362
95-th percentile20210976
Maximum20221229
Range160909
Interquartile range (IQR)92153

Descriptive statistics

Standard deviation51460.341
Coefficient of variation (CV)0.0025550378
Kurtosis-1.3910949
Mean20140736
Median Absolute Deviation (MAD)50110
Skewness-0.015415809
Sum1.6918218 × 109
Variance2.6481667 × 109
MonotonicityNot monotonic
2024-05-11T17:00:36.616988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
20110614 11
 
7.9%
20200115 7
 
5.0%
20060320 6
 
4.3%
20120120 5
 
3.6%
20190211 3
 
2.1%
20150925 3
 
2.1%
20101209 3
 
2.1%
20201231 3
 
2.1%
20191111 2
 
1.4%
20080711 2
 
1.4%
Other values (33) 39
27.9%
(Missing) 56
40.0%
ValueCountFrequency (%)
20060320 6
4.3%
20060323 2
 
1.4%
20070116 1
 
0.7%
20070119 1
 
0.7%
20080418 1
 
0.7%
20080711 2
 
1.4%
20080714 2
 
1.4%
20080901 1
 
0.7%
20090615 1
 
0.7%
20100518 1
 
0.7%
ValueCountFrequency (%)
20221229 1
 
0.7%
20220603 1
 
0.7%
20211231 2
1.4%
20211020 1
 
0.7%
20210729 1
 
0.7%
20210427 1
 
0.7%
20210402 1
 
0.7%
20201231 3
2.1%
20200630 1
 
0.7%
20200624 2
1.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

소재지면적
Real number (ℝ)

Distinct66
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.24286
Minimum30
Maximum1994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:00:36.788042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile39.8
Q179.75
median100
Q3151
95-th percentile330
Maximum1994
Range1964
Interquartile range (IQR)71.25

Descriptive statistics

Standard deviation188.36567
Coefficient of variation (CV)1.2537412
Kurtosis66.685835
Mean150.24286
Median Absolute Deviation (MAD)38
Skewness7.1592488
Sum21034
Variance35481.624
MonotonicityNot monotonic
2024-05-11T17:00:36.951564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 11
 
7.9%
300 10
 
7.1%
151 7
 
5.0%
90 5
 
3.6%
43 5
 
3.6%
86 5
 
3.6%
30 5
 
3.6%
150 4
 
2.9%
100 4
 
2.9%
85 3
 
2.1%
Other values (56) 81
57.9%
ValueCountFrequency (%)
30 5
3.6%
33 1
 
0.7%
36 1
 
0.7%
40 2
 
1.4%
43 5
3.6%
50 1
 
0.7%
53 1
 
0.7%
55 2
 
1.4%
58 1
 
0.7%
60 1
 
0.7%
ValueCountFrequency (%)
1994 1
 
0.7%
624 2
 
1.4%
516 1
 
0.7%
360 1
 
0.7%
333 1
 
0.7%
330 2
 
1.4%
300 10
7.1%
295 2
 
1.4%
260 2
 
1.4%
230 1
 
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

지번주소
Text

MISSING 

Distinct129
Distinct (%)94.2%
Missing3
Missing (%)2.1%
Memory size1.2 KiB
2024-05-11T17:00:37.275193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length24.343066
Min length10

Characters and Unicode

Total characters3335
Distinct characters134
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

Unique123 ?
Unique (%)89.8%

Sample

1st row서울특별시 강서구 화곡동 361번지 1호
2nd row서울특별시 강서구 등촌동 714번지 코오롱하늘채아파트
3rd row서울특별시 강서구 등촌동 642번지
4th row서울특별시 강서구 내발산동 657번지
5th row서울특별시 강서구 화곡동 980번지 16호
ValueCountFrequency (%)
서울특별시 136
19.0%
강서구 136
19.0%
화곡동 60
 
8.4%
호 31
 
4.3%
등촌동 19
 
2.7%
방화동 17
 
2.4%
1호 9
 
1.3%
오곡동 9
 
1.3%
3 7
 
1.0%
가양동 7
 
1.0%
Other values (216) 283
39.6%
2024-05-11T17:00:37.768047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
682
20.4%
서 276
 
8.3%
동 140
 
4.2%
강 138
 
4.1%
시 137
 
4.1%
특 136
 
4.1%
별 136
 
4.1%
구 136
 
4.1%
울 136
 
4.1%
지 123
 
3.7%
Other values (124) 1295
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2064
61.9%
Space Separator 682
 
20.4%
Decimal Number 571
 
17.1%
Dash Punctuation 14
 
0.4%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 276
13.4%
동 140
 
6.8%
강 138
 
6.7%
시 137
 
6.6%
특 136
 
6.6%
별 136
 
6.6%
구 136
 
6.6%
울 136
 
6.6%
지 123
 
6.0%
번 122
 
5.9%
Other values (110) 584
28.3%
Decimal Number
ValueCountFrequency (%)
1 89
15.6%
2 78
13.7%
6 65
11.4%
4 60
10.5%
3 57
10.0%
0 46
8.1%
7 46
8.1%
9 46
8.1%
5 42
7.4%
8 42
7.4%
Space Separator
ValueCountFrequency (%)
682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2064
61.9%
Common 1271
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 276
13.4%
동 140
 
6.8%
강 138
 
6.7%
시 137
 
6.6%
특 136
 
6.6%
별 136
 
6.6%
구 136
 
6.6%
울 136
 
6.6%
지 123
 
6.0%
번 122
 
5.9%
Other values (110) 584
28.3%
Common
ValueCountFrequency (%)
682
53.7%
1 89
 
7.0%
2 78
 
6.1%
6 65
 
5.1%
4 60
 
4.7%
3 57
 
4.5%
0 46
 
3.6%
7 46
 
3.6%
9 46
 
3.6%
5 42
 
3.3%
Other values (4) 60
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2064
61.9%
ASCII 1271
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
682
53.7%
1 89
 
7.0%
2 78
 
6.1%
6 65
 
5.1%
4 60
 
4.7%
3 57
 
4.5%
0 46
 
3.6%
7 46
 
3.6%
9 46
 
3.6%
5 42
 
3.3%
Other values (4) 60
 
4.7%
Hangul
ValueCountFrequency (%)
서 276
13.4%
동 140
 
6.8%
강 138
 
6.7%
시 137
 
6.6%
특 136
 
6.6%
별 136
 
6.6%
구 136
 
6.6%
울 136
 
6.6%
지 123
 
6.0%
번 122
 
5.9%
Other values (110) 584
28.3%

도로명주소
Text

MISSING 

Distinct83
Distinct (%)92.2%
Missing50
Missing (%)35.7%
Memory size1.2 KiB
2024-05-11T17:00:38.058661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.555556
Min length5

Characters and Unicode

Total characters2390
Distinct characters138
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)87.8%

Sample

1st row서울특별시 강서구 월정로 160 (화곡동)
2nd row서울특별시 강서구 공항대로55길 19 (등촌동, 코오롱하늘채아파트)
3rd row서울특별시 강서구 화곡로66길 90 (등촌동)
4th row서울특별시 강서구 강서로 348 (내발산동)
5th row서울특별시 강서구 화곡로 302 (화곡동)
ValueCountFrequency (%)
서울특별시 90
19.3%
강서구 89
19.1%
화곡동 42
 
9.0%
방화동 11
 
2.4%
하늘길 11
 
2.4%
곰달래로 7
 
1.5%
등촌동 7
 
1.5%
78 7
 
1.5%
강서로 6
 
1.3%
공항동 6
 
1.3%
Other values (150) 191
40.9%
2024-05-11T17:00:38.519765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
 
15.8%
서 198
 
8.3%
강 106
 
4.4%
동 94
 
3.9%
울 91
 
3.8%
시 90
 
3.8%
특 90
 
3.8%
별 90
 
3.8%
) 89
 
3.7%
구 89
 
3.7%
Other values (128) 1076
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1502
62.8%
Space Separator 377
 
15.8%
Decimal Number 302
 
12.6%
Close Punctuation 89
 
3.7%
Open Punctuation 89
 
3.7%
Other Punctuation 22
 
0.9%
Dash Punctuation 9
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 198
 
13.2%
강 106
 
7.1%
동 94
 
6.3%
울 91
 
6.1%
시 90
 
6.0%
특 90
 
6.0%
별 90
 
6.0%
구 89
 
5.9%
로 80
 
5.3%
화 77
 
5.1%
Other values (113) 497
33.1%
Decimal Number
ValueCountFrequency (%)
1 48
15.9%
2 45
14.9%
4 37
12.3%
5 34
11.3%
6 34
11.3%
3 30
9.9%
0 24
7.9%
7 20
6.6%
9 15
 
5.0%
8 15
 
5.0%
Space Separator
ValueCountFrequency (%)
377
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1502
62.8%
Common 888
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 198
 
13.2%
강 106
 
7.1%
동 94
 
6.3%
울 91
 
6.1%
시 90
 
6.0%
특 90
 
6.0%
별 90
 
6.0%
구 89
 
5.9%
로 80
 
5.3%
화 77
 
5.1%
Other values (113) 497
33.1%
Common
ValueCountFrequency (%)
377
42.5%
) 89
 
10.0%
( 89
 
10.0%
1 48
 
5.4%
2 45
 
5.1%
4 37
 
4.2%
5 34
 
3.8%
6 34
 
3.8%
3 30
 
3.4%
0 24
 
2.7%
Other values (5) 81
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1502
62.8%
ASCII 888
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
377
42.5%
) 89
 
10.0%
( 89
 
10.0%
1 48
 
5.4%
2 45
 
5.1%
4 37
 
4.2%
5 34
 
3.8%
6 34
 
3.8%
3 30
 
3.4%
0 24
 
2.7%
Other values (5) 81
 
9.1%
Hangul
ValueCountFrequency (%)
서 198
 
13.2%
강 106
 
7.1%
동 94
 
6.3%
울 91
 
6.1%
시 90
 
6.0%
특 90
 
6.0%
별 90
 
6.0%
구 89
 
5.9%
로 80
 
5.3%
화 77
 
5.1%
Other values (113) 497
33.1%

도로명우편번호
Text

MISSING 

Distinct67
Distinct (%)76.1%
Missing52
Missing (%)37.1%
Memory size1.2 KiB
2024-05-11T17:00:38.772120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8977273
Min length5

Characters and Unicode

Total characters519
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

Unique55 ?
Unique (%)62.5%

Sample

1st row157-883
2nd row07570
3rd row157-840
4th row157-791
5th row157-701
ValueCountFrequency (%)
157910 7
 
8.0%
157240 3
 
3.4%
157010 3
 
3.4%
157904 3
 
3.4%
157711 3
 
3.4%
157930 2
 
2.3%
157260 2
 
2.3%
07612 2
 
2.3%
07508 2
 
2.3%
07505 2
 
2.3%
Other values (57) 59
67.0%
2024-05-11T17:00:39.243414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 115
22.2%
0 89
17.1%
1 86
16.6%
5 73
14.1%
9 32
 
6.2%
6 27
 
5.2%
8 26
 
5.0%
- 23
 
4.4%
4 20
 
3.9%
2 16
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 496
95.6%
Dash Punctuation 23
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 115
23.2%
0 89
17.9%
1 86
17.3%
5 73
14.7%
9 32
 
6.5%
6 27
 
5.4%
8 26
 
5.2%
4 20
 
4.0%
2 16
 
3.2%
3 12
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 115
22.2%
0 89
17.1%
1 86
16.6%
5 73
14.1%
9 32
 
6.2%
6 27
 
5.2%
8 26
 
5.0%
- 23
 
4.4%
4 20
 
3.9%
2 16
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 115
22.2%
0 89
17.1%
1 86
16.6%
5 73
14.1%
9 32
 
6.2%
6 27
 
5.2%
8 26
 
5.0%
- 23
 
4.4%
4 20
 
3.9%
2 16
 
3.1%

사업장명
Text

Distinct135
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T17:00:39.529622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.7428571
Min length3

Characters and Unicode

Total characters1224
Distinct characters240
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

Unique132 ?
Unique (%)94.3%

Sample

1st row대림아파트
2nd row코오롱하늘채아파트
3rd row코오롱1차 아파트
4th row우장산힐스테이트(현대홈타운)
5th row강서구청(후정)
ValueCountFrequency (%)
한국공항공사 7
 
3.5%
공항동 6
 
3.0%
화곡1동 6
 
3.0%
화곡본동 4
 
2.0%
방화2동 4
 
2.0%
등촌3동 4
 
2.0%
등촌2동 4
 
2.0%
방화3동 2
 
1.0%
가양1동 2
 
1.0%
그린월드호텔 2
 
1.0%
Other values (156) 158
79.4%
2024-05-11T17:00:40.184550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 61
 
5.0%
59
 
4.8%
동 51
 
4.2%
) 44
 
3.6%
( 44
 
3.6%
화 31
 
2.5%
사 29
 
2.4%
항 24
 
2.0%
2 22
 
1.8%
파 20
 
1.6%
Other values (230) 839
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1006
82.2%
Decimal Number 60
 
4.9%
Space Separator 59
 
4.8%
Close Punctuation 44
 
3.6%
Open Punctuation 44
 
3.6%
Uppercase Letter 11
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 61
 
6.1%
동 51
 
5.1%
화 31
 
3.1%
사 29
 
2.9%
항 24
 
2.4%
파 20
 
2.0%
호 19
 
1.9%
대 18
 
1.8%
한 18
 
1.8%
곡 17
 
1.7%
Other values (211) 718
71.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
18.2%
S 2
18.2%
D 1
9.1%
F 1
9.1%
E 1
9.1%
A 1
9.1%
B 1
9.1%
M 1
9.1%
T 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 22
36.7%
1 16
26.7%
3 10
16.7%
7 7
 
11.7%
6 2
 
3.3%
4 2
 
3.3%
5 1
 
1.7%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1006
82.2%
Common 207
 
16.9%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 61
 
6.1%
동 51
 
5.1%
화 31
 
3.1%
사 29
 
2.9%
항 24
 
2.4%
파 20
 
2.0%
호 19
 
1.9%
대 18
 
1.8%
한 18
 
1.8%
곡 17
 
1.7%
Other values (211) 718
71.4%
Common
ValueCountFrequency (%)
59
28.5%
) 44
21.3%
( 44
21.3%
2 22
 
10.6%
1 16
 
7.7%
3 10
 
4.8%
7 7
 
3.4%
6 2
 
1.0%
4 2
 
1.0%
5 1
 
0.5%
Latin
ValueCountFrequency (%)
C 2
18.2%
S 2
18.2%
D 1
9.1%
F 1
9.1%
E 1
9.1%
A 1
9.1%
B 1
9.1%
M 1
9.1%
T 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1006
82.2%
ASCII 218
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 61
 
6.1%
동 51
 
5.1%
화 31
 
3.1%
사 29
 
2.9%
항 24
 
2.4%
파 20
 
2.0%
호 19
 
1.9%
대 18
 
1.8%
한 18
 
1.8%
곡 17
 
1.7%
Other values (211) 718
71.4%
ASCII
ValueCountFrequency (%)
59
27.1%
) 44
20.2%
( 44
20.2%
2 22
 
10.1%
1 16
 
7.3%
3 10
 
4.6%
7 7
 
3.2%
C 2
 
0.9%
6 2
 
0.9%
4 2
 
0.9%
Other values (9) 10
 
4.6%

최종수정일자
Date

Distinct135
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2007-01-12 00:00:00
Maximum2024-04-07 11:14:47
2024-05-11T17:00:40.353328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:40.517612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
U
79 
I
61 

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 79
56.4%
I 61
43.6%

Length

2024-05-11T17:00:40.706297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:40.819030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 79
56.4%
i 61
43.6%

데이터갱신일자
Date

Distinct16
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:09:00
2024-05-11T17:00:40.934117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:41.075599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing140
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)94.6%
Missing47
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean185136.89
Minimum179465.5
Maximum188629.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:00:41.238795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179465.5
5-th percentile181291.6
Q1183589.88
median185813.15
Q3186729.48
95-th percentile187655.35
Maximum188629.62
Range9164.1169
Interquartile range (IQR)3139.6029

Descriptive statistics

Standard deviation2150.7476
Coefficient of variation (CV)0.011617067
Kurtosis0.015101814
Mean185136.89
Median Absolute Deviation (MAD)1362.1556
Skewness-0.84911099
Sum17217731
Variance4625715.4
MonotonicityNot monotonic
2024-05-11T17:00:41.400821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182141.205465089 4
 
2.9%
182882.878688057 2
 
1.4%
179465.504277527 2
 
1.4%
185438.14069848 1
 
0.7%
187625.765570404 1
 
0.7%
186913.423705301 1
 
0.7%
185478.109095782 1
 
0.7%
183946.256452846 1
 
0.7%
183090.805509245 1
 
0.7%
183773.967484746 1
 
0.7%
Other values (78) 78
55.7%
(Missing) 47
33.6%
ValueCountFrequency (%)
179465.504277527 2
1.4%
179516.891758626 1
 
0.7%
180553.105242122 1
 
0.7%
181170.47168067 1
 
0.7%
181372.350445345 1
 
0.7%
181485.173791815 1
 
0.7%
181566.954137636 1
 
0.7%
181682.433518522 1
 
0.7%
182141.205465089 4
2.9%
182882.878688057 2
1.4%
ValueCountFrequency (%)
188629.621220505 1
0.7%
188385.790412096 1
0.7%
187921.329019073 1
0.7%
187712.186936722 1
0.7%
187699.722402877 1
0.7%
187625.765570404 1
0.7%
187620.31866181 1
0.7%
187537.596190385 1
0.7%
187526.191841548 1
0.7%
187408.148533653 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)94.6%
Missing47
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean449727.85
Minimum447378.93
Maximum453616.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:00:41.557319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447378.93
5-th percentile447441.12
Q1448110.63
median449658
Q3450617.39
95-th percentile452832.98
Maximum453616.34
Range6237.4077
Interquartile range (IQR)2506.763

Descriptive statistics

Standard deviation1664.9184
Coefficient of variation (CV)0.0037020575
Kurtosis-0.59120396
Mean449727.85
Median Absolute Deviation (MAD)1052.8918
Skewness0.32403878
Sum41824690
Variance2771953.2
MonotonicityNot monotonic
2024-05-11T17:00:41.693519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451078.47991 4
 
2.9%
451613.788799242 2
 
1.4%
449996.308074904 2
 
1.4%
449473.136004543 1
 
0.7%
450699.316583731 1
 
0.7%
451732.359351307 1
 
0.7%
449151.714759043 1
 
0.7%
452320.318823399 1
 
0.7%
452349.671029508 1
 
0.7%
452261.119052519 1
 
0.7%
Other values (78) 78
55.7%
(Missing) 47
33.6%
ValueCountFrequency (%)
447378.933088235 1
0.7%
447398.196837221 1
0.7%
447398.844380128 1
0.7%
447424.732980365 1
0.7%
447426.432883674 1
0.7%
447450.90647438 1
0.7%
447456.838723466 1
0.7%
447495.908489937 1
0.7%
447497.707318051 1
0.7%
447531.200906787 1
0.7%
ValueCountFrequency (%)
453616.340821982 1
0.7%
453279.776758508 1
0.7%
453136.448166169 1
0.7%
453107.194335075 1
0.7%
452878.718236683 1
0.7%
452802.484845408 1
0.7%
452349.671029508 1
0.7%
452320.318823399 1
0.7%
452268.261985956 1
0.7%
452261.119052519 1
0.7%

비상시설위치
Text

MISSING 

Distinct65
Distinct (%)94.2%
Missing71
Missing (%)50.7%
Memory size1.2 KiB
2024-05-11T17:00:42.008287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length27.318841
Min length19

Characters and Unicode

Total characters1885
Distinct characters119
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

Unique61 ?
Unique (%)88.4%

Sample

1st row서울특별시 강서구 방화동 648번지 23호
2nd row서울특별시 강서구 방화동 615번지 103 호 형제아파트
3rd row서울특별시 강서구 내발산동 169번지 1 호 명덕고교
4th row서울특별시 강서구 등촌동 637번지 15호 유성목욕탕
5th row서울특별시 강서구 등촌동 653번지 25 호 대한항공
ValueCountFrequency (%)
서울특별시 69
17.1%
강서구 69
17.1%
화곡동 35
 
8.7%
호 31
 
7.7%
등촌동 13
 
3.2%
3 7
 
1.7%
방화동 6
 
1.5%
23호 4
 
1.0%
24번지 4
 
1.0%
가양동 4
 
1.0%
Other values (138) 161
40.0%
2024-05-11T17:00:42.535003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
439
23.3%
서 141
 
7.5%
동 72
 
3.8%
시 70
 
3.7%
강 70
 
3.7%
울 69
 
3.7%
지 69
 
3.7%
번 69
 
3.7%
구 69
 
3.7%
별 69
 
3.7%
Other values (109) 748
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1136
60.3%
Space Separator 439
 
23.3%
Decimal Number 306
 
16.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 141
 
12.4%
동 72
 
6.3%
시 70
 
6.2%
강 70
 
6.2%
울 69
 
6.1%
지 69
 
6.1%
번 69
 
6.1%
구 69
 
6.1%
별 69
 
6.1%
특 69
 
6.1%
Other values (96) 369
32.5%
Decimal Number
ValueCountFrequency (%)
1 45
14.7%
2 43
14.1%
6 38
12.4%
3 31
10.1%
0 27
8.8%
5 26
8.5%
4 25
8.2%
9 25
8.2%
7 24
7.8%
8 22
7.2%
Space Separator
ValueCountFrequency (%)
439
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1136
60.3%
Common 749
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 141
 
12.4%
동 72
 
6.3%
시 70
 
6.2%
강 70
 
6.2%
울 69
 
6.1%
지 69
 
6.1%
번 69
 
6.1%
구 69
 
6.1%
별 69
 
6.1%
특 69
 
6.1%
Other values (96) 369
32.5%
Common
ValueCountFrequency (%)
439
58.6%
1 45
 
6.0%
2 43
 
5.7%
6 38
 
5.1%
3 31
 
4.1%
0 27
 
3.6%
5 26
 
3.5%
4 25
 
3.3%
9 25
 
3.3%
7 24
 
3.2%
Other values (3) 26
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1136
60.3%
ASCII 749
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
439
58.6%
1 45
 
6.0%
2 43
 
5.7%
6 38
 
5.1%
3 31
 
4.1%
0 27
 
3.6%
5 26
 
3.5%
4 25
 
3.3%
9 25
 
3.3%
7 24
 
3.2%
Other values (3) 26
 
3.5%
Hangul
ValueCountFrequency (%)
서 141
 
12.4%
동 72
 
6.3%
시 70
 
6.2%
강 70
 
6.2%
울 69
 
6.1%
지 69
 
6.1%
번 69
 
6.1%
구 69
 
6.1%
별 69
 
6.1%
특 69
 
6.1%
Other values (96) 369
32.5%

시설구분명
Categorical

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
68 
민간시설
67 
정부지원시설
 
2
자치단체자체시설
 
2
공공시설
 
1

Length

Max length8
Median length4
Mean length4.0857143
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 68
48.6%
민간시설 67
47.9%
정부지원시설 2
 
1.4%
자치단체자체시설 2
 
1.4%
공공시설 1
 
0.7%

Length

2024-05-11T17:00:42.714277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:42.860585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
48.6%
민간시설 67
47.9%
정부지원시설 2
 
1.4%
자치단체자체시설 2
 
1.4%
공공시설 1
 
0.7%

시설명_건물명
Text

MISSING 

Distinct67
Distinct (%)93.1%
Missing68
Missing (%)48.6%
Memory size1.2 KiB
2024-05-11T17:00:43.111315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.875
Min length3

Characters and Unicode

Total characters639
Distinct characters168
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

Unique64 ?
Unique (%)88.9%

Sample

1st row방화2동 방화어르신사랑방
2nd row방화2동비상급수시설 형제아파트
3rd row명덕고교
4th row등촌1동 유성목욕탕
5th row등촌1동 대한항공
ValueCountFrequency (%)
한국공항공사 7
 
6.0%
화곡1동 6
 
5.1%
등촌2동 4
 
3.4%
화곡본동 4
 
3.4%
등촌3동 4
 
3.4%
공항동 3
 
2.6%
방화2동 3
 
2.6%
등촌1동 2
 
1.7%
가양1동 2
 
1.7%
방화3동 2
 
1.7%
Other values (79) 80
68.4%
2024-05-11T17:00:43.498281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
7.0%
동 43
 
6.7%
공 32
 
5.0%
화 24
 
3.8%
) 18
 
2.8%
( 18
 
2.8%
항 16
 
2.5%
사 16
 
2.5%
곡 14
 
2.2%
한 13
 
2.0%
Other values (158) 400
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
81.2%
Space Separator 45
 
7.0%
Decimal Number 32
 
5.0%
Close Punctuation 18
 
2.8%
Open Punctuation 18
 
2.8%
Uppercase Letter 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
8.3%
공 32
 
6.2%
화 24
 
4.6%
항 16
 
3.1%
사 16
 
3.1%
곡 14
 
2.7%
한 13
 
2.5%
촌 11
 
2.1%
등 11
 
2.1%
국 11
 
2.1%
Other values (144) 328
63.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
S 1
14.3%
E 1
14.3%
F 1
14.3%
D 1
14.3%
T 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 11
34.4%
2 11
34.4%
3 8
25.0%
6 1
 
3.1%
7 1
 
3.1%
Space Separator
ValueCountFrequency (%)
45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
81.2%
Common 113
 
17.7%
Latin 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
8.3%
공 32
 
6.2%
화 24
 
4.6%
항 16
 
3.1%
사 16
 
3.1%
곡 14
 
2.7%
한 13
 
2.5%
촌 11
 
2.1%
등 11
 
2.1%
국 11
 
2.1%
Other values (144) 328
63.2%
Common
ValueCountFrequency (%)
45
39.8%
) 18
 
15.9%
( 18
 
15.9%
1 11
 
9.7%
2 11
 
9.7%
3 8
 
7.1%
6 1
 
0.9%
7 1
 
0.9%
Latin
ValueCountFrequency (%)
C 2
28.6%
S 1
14.3%
E 1
14.3%
F 1
14.3%
D 1
14.3%
T 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
81.2%
ASCII 120
 
18.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
37.5%
) 18
 
15.0%
( 18
 
15.0%
1 11
 
9.2%
2 11
 
9.2%
3 8
 
6.7%
C 2
 
1.7%
6 1
 
0.8%
7 1
 
0.8%
S 1
 
0.8%
Other values (4) 4
 
3.3%
Hangul
ValueCountFrequency (%)
동 43
 
8.3%
공 32
 
6.2%
화 24
 
4.6%
항 16
 
3.1%
사 16
 
3.1%
곡 14
 
2.7%
한 13
 
2.5%
촌 11
 
2.1%
등 11
 
2.1%
국 11
 
2.1%
Other values (144) 328
63.2%

해제일자
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)47.9%
Missing69
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean20128448
Minimum20060320
Maximum20210427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:00:43.643369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060320
5-th percentile20060320
Q120100522
median20120120
Q320170958
95-th percentile20200115
Maximum20210427
Range150107
Interquartile range (IQR)70437

Descriptive statistics

Standard deviation46267.571
Coefficient of variation (CV)0.0022986159
Kurtosis-1.1594771
Mean20128448
Median Absolute Deviation (MAD)39406
Skewness0.21031392
Sum1.4291198 × 109
Variance2.1406881 × 109
MonotonicityNot monotonic
2024-05-11T17:00:43.784231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20110614 11
 
7.9%
20200115 7
 
5.0%
20060320 6
 
4.3%
20120120 5
 
3.6%
20190211 3
 
2.1%
20101209 3
 
2.1%
20150925 3
 
2.1%
20060323 2
 
1.4%
20080714 2
 
1.4%
20180807 2
 
1.4%
Other values (24) 27
 
19.3%
(Missing) 69
49.3%
ValueCountFrequency (%)
20060320 6
4.3%
20060323 2
 
1.4%
20070116 1
 
0.7%
20070119 1
 
0.7%
20080418 1
 
0.7%
20080711 2
 
1.4%
20080714 2
 
1.4%
20080901 1
 
0.7%
20090615 1
 
0.7%
20100518 1
 
0.7%
ValueCountFrequency (%)
20210427 1
 
0.7%
20200115 7
5.0%
20191111 2
 
1.4%
20190211 3
2.1%
20181121 1
 
0.7%
20180807 2
 
1.4%
20180116 1
 
0.7%
20171213 1
 
0.7%
20170704 1
 
0.7%
20170330 1
 
0.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031500003150000-E1992000051992-09-21<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>85<NA>서울특별시 강서구 화곡동 361번지 1호서울특별시 강서구 월정로 160 (화곡동)157-883대림아파트2024-02-03 13:34:51U2023-12-02 00:05:00.0<NA>185554.861081447945.761361<NA><NA><NA><NA>
131500003150000-E2006000012006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>102<NA>서울특별시 강서구 등촌동 714번지 코오롱하늘채아파트서울특별시 강서구 공항대로55길 19 (등촌동, 코오롱하늘채아파트)07570코오롱하늘채아파트2024-02-03 13:27:17U2023-12-02 00:05:00.0<NA>187620.318662450237.759619<NA><NA><NA><NA>
231500003150000-E2006000022006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>55<NA>서울특별시 강서구 등촌동 642번지서울특별시 강서구 화곡로66길 90 (등촌동)157-840코오롱1차 아파트2024-02-03 13:30:58U2023-12-02 00:05:00.0<NA>187408.148534450421.420284<NA><NA><NA><NA>
331500003150000-E2006000032006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>110<NA>서울특별시 강서구 내발산동 657번지서울특별시 강서구 강서로 348 (내발산동)157-791우장산힐스테이트(현대홈타운)2024-02-03 13:41:38U2023-12-02 00:05:00.0<NA>185813.150482450434.088151<NA><NA><NA><NA>
431500003150000-E2006000042006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>160<NA>서울특별시 강서구 화곡동 980번지 16호서울특별시 강서구 화곡로 302 (화곡동)157-701강서구청(후정)2024-02-03 13:40:08U2023-12-02 00:05:00.0<NA>186645.815384449856.896042<NA><NA><NA><NA>
531500003150000-E20060000520060111201811214취소/말소/만료/정지/중지19사용중지20181121<NA><NA><NA><NA>115<NA>서울특별시 강서구 방화동 648번지 23호서울특별시 강서구 개화동로23길 26 (방화동, 방화2동경로당)07612방화2동 방화어르신사랑방2018-11-21 11:23:31U2018-11-23 02:37:28.0<NA>182882.878688451613.788799서울특별시 강서구 방화동 648번지 23호정부지원시설방화2동 방화어르신사랑방20181121
631500003150000-E2006000062006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>110<NA>서울특별시 강서구 화곡동 374번지 1호서울특별시 강서구 월정로 176 (화곡동)157-884월정초등학교2024-02-03 13:35:34U2023-12-02 00:05:00.0<NA>185460.270196448032.782448<NA><NA><NA><NA>
731500003150000-E2006000072006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>78<NA>서울특별시 강서구 가양동 1497번지서울특별시 강서구 양천로53길 66 (가양동)157-200보람아파트(가양1동)2024-02-03 13:44:03U2023-12-02 00:05:00.0<NA>186552.051041451660.704689<NA><NA><NA><NA>
831500003150000-E2006000082006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>120<NA>서울특별시 강서구 화곡동 477번지 1호 신정고서울특별시 강서구 등촌로13아길 20, 신정고 (화곡동)07736신정고2024-02-03 13:38:11U2023-12-02 00:05:00.0<NA>187316.968581448430.010438<NA><NA><NA><NA>
931500003150000-E2006000092006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>115<NA>서울특별시 강서구 염창동 280번지서울특별시 강서구 공항대로71길 31 (염창동)157-863극동상록수아파트2024-02-03 13:28:51U2023-12-02 00:05:00.0<NA>188629.621221449630.081601<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
13031500003150000-E2023000032023-03-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>260<NA>서울특별시 강서구 오곡동 1-6<NA><NA>인서울27골프클럽(3호공)2024-02-03 13:54:42U2023-12-02 00:05:00.0<NA>181682.433519449387.86538<NA><NA><NA><NA>
13131500003150000-E2023000042023-03-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>333<NA>서울특별시 강서구 오곡동 195-7<NA><NA>인서울27골프클럽(4호공)2024-04-07 11:14:47U2023-12-04 00:09:00.0<NA>181170.471681449658.000007<NA><NA><NA><NA>
13231500003150000-E2023000052023-03-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>624<NA>서울특별시 강서구 오곡동 181-3<NA><NA>인서울27골프클럽(5호공)2024-02-03 13:55:41U2023-12-02 00:05:00.0<NA>181566.954138449633.117736<NA><NA><NA><NA>
13331500003150000-E2023000062023-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>86<NA>서울특별시 강서구 화곡동 464-8 궁전빌딩서울특별시 강서구 곰달래로49길 86, 궁전빌딩 (화곡동)07737궁전사우나(공공용)2024-02-17 12:07:00U2023-12-01 23:09:00.0<NA>187204.703073448110.630532<NA><NA><NA><NA>
13431500003150000-E2023000072023-03-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>55<NA>서울특별시 강서구 화곡동 1026-12서울특별시 강서구 강서로 206, 비전빌딩 (화곡동)07698비전빌딩(공공용)2024-02-17 12:10:17U2023-12-01 23:09:00.0<NA>185617.497942449153.637972<NA><NA><NA><NA>
13531500003150000-E2023000082023-03-02<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>220<NA>서울특별시 강서구 화곡동 1165-1 강서힐스테이트서울특별시 강서구 강서로 242 (화곡동, 강서힐스테이트)07694우장산불가마사우나(공공용)2024-02-17 12:09:52U2023-12-01 23:09:00.0<NA>185509.165466449450.069695<NA><NA><NA><NA>
13631500003150000-E2023000092023-03-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>260<NA>서울특별시 강서구 오곡동 423-1<NA><NA>인서울27골프클럽(6호공)2024-02-03 13:56:09U2023-12-02 00:05:00.0<NA>180553.105242450429.436308<NA><NA><NA><NA>
13731500003150000-E2024000012024-03-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>62<NA>서울특별시 강서구 화곡동 980-9서울특별시 강서구 화곡로44나길 65 (화곡동)07663정수목욕탕2024-03-07 17:39:25I2023-12-03 00:09:00.0<NA>186729.483771449731.567349<NA><NA><NA><NA>
13831500003150000-E2024000022024-03-07<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 강서구 오곡동 593-2서울특별시 강서구 벌말로 266 (오곡동)07505강서가스충전소2024-03-08 14:05:22I2023-12-02 23:00:00.0<NA>179516.891759450321.052197<NA><NA><NA><NA>
13931500003150000-E2024000032024-03-12<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>53<NA>서울특별시 강서구 화곡동 901-2서울특별시 강서구 강서로5가길 34 (화곡동)07777디오스모텔2024-03-12 17:36:55I2023-12-02 23:04:00.0<NA>186327.291836447450.906474<NA><NA><NA><NA>