Overview

Dataset statistics

Number of variables29
Number of observations2569
Missing cells24030
Missing cells (%)32.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory614.8 KiB
Average record size in memory245.1 B

Variable types

Numeric5
Text7
DateTime5
Categorical6
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
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16148/S/1/datasetView.do

Alerts

인허가취소일자 has 1126 (43.8%) missing valuesMissing
폐업일자 has 1126 (43.8%) missing valuesMissing
휴업시작일자 has 2569 (100.0%) missing valuesMissing
휴업종료일자 has 2569 (100.0%) missing valuesMissing
재개업일자 has 2569 (100.0%) missing valuesMissing
전화번호 has 2569 (100.0%) missing valuesMissing
소재지우편번호 has 2569 (100.0%) missing valuesMissing
도로명주소 has 886 (34.5%) missing valuesMissing
도로명우편번호 has 959 (37.3%) missing valuesMissing
업태구분명 has 2569 (100.0%) missing valuesMissing
좌표정보(X) has 864 (33.6%) missing valuesMissing
좌표정보(Y) has 864 (33.6%) missing valuesMissing
비상시설위치 has 770 (30.0%) missing valuesMissing
시설명_건물명 has 748 (29.1%) missing valuesMissing
해제일자 has 1251 (48.7%) missing valuesMissing
소재지면적 is highly skewed (γ1 = 21.63473713)Skewed
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
소재지면적 has 41 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-11 03:38:52.917104
Analysis finished2024-05-11 03:38:57.140228
Duration4.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct25
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3143032.3
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-05-11T03:38:57.438258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3030000
Q13090000
median3150000
Q33200000
95-th percentile3240000
Maximum3240000
Range240000
Interquartile range (IQR)110000

Descriptive statistics

Standard deviation67203.48
Coefficient of variation (CV)0.021381734
Kurtosis-1.0847997
Mean3143032.3
Median Absolute Deviation (MAD)60000
Skewness-0.26341905
Sum8.07445 × 109
Variance4.5163078 × 109
MonotonicityNot monotonic
2024-05-11T03:38:57.932957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3230000 208
 
8.1%
3110000 180
 
7.0%
3210000 153
 
6.0%
3050000 148
 
5.8%
3240000 147
 
5.7%
3150000 140
 
5.4%
3190000 137
 
5.3%
3200000 136
 
5.3%
3140000 128
 
5.0%
3170000 118
 
4.6%
Other values (15) 1074
41.8%
ValueCountFrequency (%)
3000000 34
 
1.3%
3010000 19
 
0.7%
3020000 22
 
0.9%
3030000 114
4.4%
3040000 19
 
0.7%
3050000 148
5.8%
3060000 90
3.5%
3070000 86
3.3%
3080000 65
2.5%
3090000 77
3.0%
ValueCountFrequency (%)
3240000 147
5.7%
3230000 208
8.1%
3220000 112
4.4%
3210000 153
6.0%
3200000 136
5.3%
3190000 137
5.3%
3180000 78
 
3.0%
3170000 118
4.6%
3160000 114
4.4%
3150000 140
5.4%

관리번호
Text

UNIQUE 

Distinct2569
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2024-05-11T03:38:58.575019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters46242
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

Unique2569 ?
Unique (%)100.0%

Sample

1st row3150000-E202300001
2nd row3150000-E202300006
3rd row3200000-E201100005
4th row3150000-E201100007
5th row3150000-E200600068
ValueCountFrequency (%)
3150000-e202300001 1
 
< 0.1%
3180000-e199700002 1
 
< 0.1%
3170000-e199600001 1
 
< 0.1%
3170000-e200900001 1
 
< 0.1%
3170000-e200000006 1
 
< 0.1%
3170000-e200000002 1
 
< 0.1%
3170000-e199500003 1
 
< 0.1%
3170000-e199100001 1
 
< 0.1%
3170000-e200700002 1
 
< 0.1%
3170000-e200800002 1
 
< 0.1%
Other values (2559) 2559
99.6%
2024-05-11T03:38:59.701574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23995
51.9%
1 4072
 
8.8%
2 3725
 
8.1%
3 3641
 
7.9%
- 2569
 
5.6%
E 2569
 
5.6%
9 1800
 
3.9%
4 862
 
1.9%
5 837
 
1.8%
8 810
 
1.8%
Other values (2) 1362
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41104
88.9%
Dash Punctuation 2569
 
5.6%
Uppercase Letter 2569
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23995
58.4%
1 4072
 
9.9%
2 3725
 
9.1%
3 3641
 
8.9%
9 1800
 
4.4%
4 862
 
2.1%
5 837
 
2.0%
8 810
 
2.0%
7 693
 
1.7%
6 669
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 2569
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 2569
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43673
94.4%
Latin 2569
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23995
54.9%
1 4072
 
9.3%
2 3725
 
8.5%
3 3641
 
8.3%
- 2569
 
5.9%
9 1800
 
4.1%
4 862
 
2.0%
5 837
 
1.9%
8 810
 
1.9%
7 693
 
1.6%
Latin
ValueCountFrequency (%)
E 2569
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23995
51.9%
1 4072
 
8.8%
2 3725
 
8.1%
3 3641
 
7.9%
- 2569
 
5.6%
E 2569
 
5.6%
9 1800
 
3.9%
4 862
 
1.9%
5 837
 
1.8%
8 810
 
1.8%
Other values (2) 1362
 
2.9%

인허가일자
Date

Distinct920
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Minimum1970-01-01 00:00:00
Maximum2024-03-12 00:00:00
2024-05-11T03:39:00.291544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:39:00.817163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct732
Distinct (%)50.7%
Missing1126
Missing (%)43.8%
Memory size20.2 KiB
Minimum2003-02-28 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T03:39:01.270419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:39:01.801187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
4
1443 
1
1126 

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 1443
56.2%
1 1126
43.8%

Length

2024-05-11T03:39:02.449097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:39:02.834948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1443
56.2%
1 1126
43.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
취소/말소/만료/정지/중지
1443 
영업/정상
1126 

Length

Max length14
Median length14
Mean length10.055274
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 1443
56.2%
영업/정상 1126
43.8%

Length

2024-05-11T03:39:03.325246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:39:03.632632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 1443
56.2%
영업/정상 1126
43.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
19
1443 
18
1126 

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 1443
56.2%
18 1126
43.8%

Length

2024-05-11T03:39:04.085399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:39:04.445989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 1443
56.2%
18 1126
43.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
사용중지
1443 
사용중
1126 

Length

Max length4
Median length4
Mean length3.5616972
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 1443
56.2%
사용중 1126
43.8%

Length

2024-05-11T03:39:04.784973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:39:05.218131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 1443
56.2%
사용중 1126
43.8%

폐업일자
Date

MISSING 

Distinct732
Distinct (%)50.7%
Missing1126
Missing (%)43.8%
Memory size20.2 KiB
Minimum2003-02-28 00:00:00
Maximum2024-03-14 00:00:00
2024-05-11T03:39:05.684839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:39:06.259790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2569
Missing (%)100.0%
Memory size22.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2569
Missing (%)100.0%
Memory size22.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2569
Missing (%)100.0%
Memory size22.7 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2569
Missing (%)100.0%
Memory size22.7 KiB

소재지면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct335
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean435.16577
Minimum0
Maximum145000
Zeros41
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-05-11T03:39:06.703807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q160
median86
Q3130
95-th percentile462.4
Maximum145000
Range145000
Interquartile range (IQR)70

Descriptive statistics

Standard deviation4567.5252
Coefficient of variation (CV)10.496058
Kurtosis549.37812
Mean435.16577
Median Absolute Deviation (MAD)30
Skewness21.634737
Sum1117940.9
Variance20862287
MonotonicityNot monotonic
2024-05-11T03:39:07.143037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 169
 
6.6%
80.0 157
 
6.1%
50.0 153
 
6.0%
90.0 135
 
5.3%
60.0 87
 
3.4%
70.0 78
 
3.0%
30.0 65
 
2.5%
150.0 51
 
2.0%
86.0 44
 
1.7%
300.0 43
 
1.7%
Other values (325) 1587
61.8%
ValueCountFrequency (%)
0.0 41
1.6%
1.0 2
 
0.1%
1.23 1
 
< 0.1%
1.8 1
 
< 0.1%
2.0 3
 
0.1%
2.74 1
 
< 0.1%
3.0 7
 
0.3%
4.0 2
 
0.1%
5.0 1
 
< 0.1%
7.0 2
 
0.1%
ValueCountFrequency (%)
145000.0 1
< 0.1%
100000.0 1
< 0.1%
80000.0 1
< 0.1%
60000.0 2
0.1%
50000.0 2
0.1%
40000.0 1
< 0.1%
28360.0 1
< 0.1%
24000.0 1
< 0.1%
19477.0 1
< 0.1%
13728.0 1
< 0.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2569
Missing (%)100.0%
Memory size22.7 KiB

지번주소
Text

Distinct2391
Distinct (%)93.9%
Missing22
Missing (%)0.9%
Memory size20.2 KiB
2024-05-11T03:39:08.070450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length22.508441
Min length6

Characters and Unicode

Total characters57329
Distinct characters347
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2282 ?
Unique (%)89.6%

Sample

1st row서울특별시 강서구 오곡동 224-1
2nd row서울특별시 강서구 화곡동 464-8 궁전빌딩
3rd row서울특별시 관악구 신림동 538번지 2호
4th row서울특별시 강서구 방화동 274번지 6호
5th row서울특별시 강서구 공항동 1370번지
ValueCountFrequency (%)
서울특별시 2474
 
19.9%
호 362
 
2.9%
1호 238
 
1.9%
송파구 207
 
1.7%
은평구 172
 
1.4%
서초구 153
 
1.2%
동대문구 140
 
1.1%
동작구 137
 
1.1%
관악구 136
 
1.1%
강서구 136
 
1.1%
Other values (2028) 8283
66.6%
2024-05-11T03:39:09.671063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11385
19.9%
동 3093
 
5.4%
서 2929
 
5.1%
구 2660
 
4.6%
시 2548
 
4.4%
울 2489
 
4.3%
별 2476
 
4.3%
특 2476
 
4.3%
지 2253
 
3.9%
번 2244
 
3.9%
Other values (337) 22776
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35604
62.1%
Space Separator 11385
 
19.9%
Decimal Number 10031
 
17.5%
Dash Punctuation 223
 
0.4%
Open Punctuation 26
 
< 0.1%
Close Punctuation 26
 
< 0.1%
Uppercase Letter 26
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3093
 
8.7%
서 2929
 
8.2%
구 2660
 
7.5%
시 2548
 
7.2%
울 2489
 
7.0%
별 2476
 
7.0%
특 2476
 
7.0%
지 2253
 
6.3%
번 2244
 
6.3%
호 1635
 
4.6%
Other values (309) 10801
30.3%
Decimal Number
ValueCountFrequency (%)
1 2097
20.9%
2 1316
13.1%
3 1133
11.3%
4 956
9.5%
5 873
8.7%
6 809
 
8.1%
0 726
 
7.2%
7 725
 
7.2%
9 721
 
7.2%
8 675
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 6
23.1%
L 6
23.1%
B 5
19.2%
K 3
11.5%
A 2
 
7.7%
D 1
 
3.8%
M 1
 
3.8%
S 1
 
3.8%
G 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
r 1
25.0%
o 1
25.0%
Space Separator
ValueCountFrequency (%)
11385
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35604
62.1%
Common 21694
37.8%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3093
 
8.7%
서 2929
 
8.2%
구 2660
 
7.5%
시 2548
 
7.2%
울 2489
 
7.0%
별 2476
 
7.0%
특 2476
 
7.0%
지 2253
 
6.3%
번 2244
 
6.3%
호 1635
 
4.6%
Other values (309) 10801
30.3%
Common
ValueCountFrequency (%)
11385
52.5%
1 2097
 
9.7%
2 1316
 
6.1%
3 1133
 
5.2%
4 956
 
4.4%
5 873
 
4.0%
6 809
 
3.7%
0 726
 
3.3%
7 725
 
3.3%
9 721
 
3.3%
Other values (5) 953
 
4.4%
Latin
ValueCountFrequency (%)
C 6
19.4%
L 6
19.4%
B 5
16.1%
K 3
9.7%
A 2
 
6.5%
s 2
 
6.5%
D 1
 
3.2%
M 1
 
3.2%
Ⅱ 1
 
3.2%
S 1
 
3.2%
Other values (3) 3
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35604
62.1%
ASCII 21724
37.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11385
52.4%
1 2097
 
9.7%
2 1316
 
6.1%
3 1133
 
5.2%
4 956
 
4.4%
5 873
 
4.0%
6 809
 
3.7%
0 726
 
3.3%
7 725
 
3.3%
9 721
 
3.3%
Other values (17) 983
 
4.5%
Hangul
ValueCountFrequency (%)
동 3093
 
8.7%
서 2929
 
8.2%
구 2660
 
7.5%
시 2548
 
7.2%
울 2489
 
7.0%
별 2476
 
7.0%
특 2476
 
7.0%
지 2253
 
6.3%
번 2244
 
6.3%
호 1635
 
4.6%
Other values (309) 10801
30.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct1578
Distinct (%)93.8%
Missing886
Missing (%)34.5%
Memory size20.2 KiB
2024-05-11T03:39:10.636823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length28.318479
Min length5

Characters and Unicode

Total characters47660
Distinct characters498
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1509 ?
Unique (%)89.7%

Sample

1st row서울특별시 강서구 곰달래로49길 86, 궁전빌딩 (화곡동)
2nd row서울특별시 관악구 남부순환로 1471 (신림동)
3rd row서울특별시 강서구 방화대로 354 (방화동)
4th row서울특별시 강서구 하늘길 260-0 (공항동)
5th row서울특별시 강남구 영동대로 22(일원동, 디에이치 자이 개포)
ValueCountFrequency (%)
서울특별시 1683
 
18.4%
은평구 137
 
1.5%
동대문구 119
 
1.3%
송파구 119
 
1.3%
서초구 109
 
1.2%
관악구 90
 
1.0%
강서구 89
 
1.0%
강남구 84
 
0.9%
노원구 80
 
0.9%
강동구 78
 
0.9%
Other values (2568) 6574
71.8%
2024-05-11T03:39:12.199327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7597
 
15.9%
동 2209
 
4.6%
서 2120
 
4.4%
구 1827
 
3.8%
시 1810
 
3.8%
울 1727
 
3.6%
로 1717
 
3.6%
( 1697
 
3.6%
) 1697
 
3.6%
특 1686
 
3.5%
Other values (488) 23573
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29858
62.6%
Space Separator 7597
 
15.9%
Decimal Number 5800
 
12.2%
Open Punctuation 1698
 
3.6%
Close Punctuation 1698
 
3.6%
Other Punctuation 736
 
1.5%
Dash Punctuation 211
 
0.4%
Uppercase Letter 55
 
0.1%
Lowercase Letter 4
 
< 0.1%
Other Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2209
 
7.4%
서 2120
 
7.1%
구 1827
 
6.1%
시 1810
 
6.1%
울 1727
 
5.8%
로 1717
 
5.8%
특 1686
 
5.6%
별 1686
 
5.6%
길 802
 
2.7%
대 511
 
1.7%
Other values (446) 13763
46.1%
Uppercase Letter
ValueCountFrequency (%)
C 13
23.6%
S 9
16.4%
K 8
14.5%
G 4
 
7.3%
L 4
 
7.3%
M 3
 
5.5%
B 2
 
3.6%
N 2
 
3.6%
D 2
 
3.6%
R 2
 
3.6%
Other values (6) 6
10.9%
Decimal Number
ValueCountFrequency (%)
1 1100
19.0%
2 859
14.8%
3 744
12.8%
4 563
9.7%
5 529
9.1%
6 470
8.1%
7 438
 
7.6%
0 403
 
6.9%
9 348
 
6.0%
8 346
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 723
98.2%
. 10
 
1.4%
& 2
 
0.3%
* 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
50.0%
o 1
25.0%
r 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 1697
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1697
99.9%
] 1
 
0.1%
Other Number
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%
Space Separator
ValueCountFrequency (%)
7597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29858
62.6%
Common 17742
37.2%
Latin 60
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2209
 
7.4%
서 2120
 
7.1%
구 1827
 
6.1%
시 1810
 
6.1%
울 1727
 
5.8%
로 1717
 
5.8%
특 1686
 
5.6%
별 1686
 
5.6%
길 802
 
2.7%
대 511
 
1.7%
Other values (446) 13763
46.1%
Common
ValueCountFrequency (%)
7597
42.8%
( 1697
 
9.6%
) 1697
 
9.6%
1 1100
 
6.2%
2 859
 
4.8%
3 744
 
4.2%
, 723
 
4.1%
4 563
 
3.2%
5 529
 
3.0%
6 470
 
2.6%
Other values (12) 1763
 
9.9%
Latin
ValueCountFrequency (%)
C 13
21.7%
S 9
15.0%
K 8
13.3%
G 4
 
6.7%
L 4
 
6.7%
M 3
 
5.0%
B 2
 
3.3%
N 2
 
3.3%
D 2
 
3.3%
R 2
 
3.3%
Other values (10) 11
18.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29858
62.6%
ASCII 17799
37.3%
Enclosed Alphanum 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7597
42.7%
( 1697
 
9.5%
) 1697
 
9.5%
1 1100
 
6.2%
2 859
 
4.8%
3 744
 
4.2%
, 723
 
4.1%
4 563
 
3.2%
5 529
 
3.0%
6 470
 
2.6%
Other values (29) 1820
 
10.2%
Hangul
ValueCountFrequency (%)
동 2209
 
7.4%
서 2120
 
7.1%
구 1827
 
6.1%
시 1810
 
6.1%
울 1727
 
5.8%
로 1717
 
5.8%
특 1686
 
5.6%
별 1686
 
5.6%
길 802
 
2.7%
대 511
 
1.7%
Other values (446) 13763
46.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
50.0%
② 1
50.0%

도로명우편번호
Text

MISSING 

Distinct1262
Distinct (%)78.4%
Missing959
Missing (%)37.3%
Memory size20.2 KiB
2024-05-11T03:39:13.263436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4869565
Min length5

Characters and Unicode

Total characters8834
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

Unique1034 ?
Unique (%)64.2%

Sample

1st row07737
2nd row151-876
3rd row07592
4th row06346
5th row157-816
ValueCountFrequency (%)
05698 14
 
0.9%
156800 7
 
0.4%
157910 7
 
0.4%
02560 7
 
0.4%
02571 6
 
0.4%
139242 6
 
0.4%
122-200 6
 
0.4%
136081 5
 
0.3%
04782 5
 
0.3%
04798 4
 
0.2%
Other values (1252) 1543
95.8%
2024-05-11T03:39:14.941487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1697
19.2%
1 1235
14.0%
8 906
10.3%
3 857
9.7%
5 848
9.6%
2 832
9.4%
7 689
7.8%
6 617
 
7.0%
4 574
 
6.5%
9 410
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8665
98.1%
Dash Punctuation 169
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1697
19.6%
1 1235
14.3%
8 906
10.5%
3 857
9.9%
5 848
9.8%
2 832
9.6%
7 689
8.0%
6 617
 
7.1%
4 574
 
6.6%
9 410
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8834
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1697
19.2%
1 1235
14.0%
8 906
10.3%
3 857
9.7%
5 848
9.6%
2 832
9.4%
7 689
7.8%
6 617
 
7.0%
4 574
 
6.5%
9 410
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1697
19.2%
1 1235
14.0%
8 906
10.3%
3 857
9.7%
5 848
9.6%
2 832
9.4%
7 689
7.8%
6 617
 
7.0%
4 574
 
6.5%
9 410
 
4.6%

사업장명
Text

Distinct2400
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2024-05-11T03:39:15.909237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length7.8738809
Min length2

Characters and Unicode

Total characters20228
Distinct characters629
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2304 ?
Unique (%)89.7%

Sample

1st row인서울27골프클럽(1호공)
2nd row궁전사우나(공공용)
3rd rowKT 구로지사(조원동)
4th row삼성세차장
5th row공항동 대한항공1
ValueCountFrequency (%)
구로구 78
 
2.3%
민방위비상급수시설 41
 
1.2%
비상급수시설 31
 
0.9%
지하1층 29
 
0.9%
28
 
0.8%
1층 25
 
0.8%
민간지정비상급수시설 21
 
0.6%
지상1층 18
 
0.5%
민간시설 16
 
0.5%
지하 15
 
0.5%
Other values (2676) 3028
90.9%
2024-05-11T03:39:17.355434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
 
3.8%
( 618
 
3.1%
) 618
 
3.1%
수 454
 
2.2%
동 344
 
1.7%
사 342
 
1.7%
지 310
 
1.5%
원 308
 
1.5%
시 301
 
1.5%
주 293
 
1.4%
Other values (619) 15878
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17209
85.1%
Space Separator 762
 
3.8%
Decimal Number 729
 
3.6%
Open Punctuation 618
 
3.1%
Close Punctuation 618
 
3.1%
Uppercase Letter 141
 
0.7%
Dash Punctuation 102
 
0.5%
Lowercase Letter 21
 
0.1%
Other Punctuation 18
 
0.1%
Other Symbol 3
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 454
 
2.6%
동 344
 
2.0%
사 342
 
2.0%
지 310
 
1.8%
원 308
 
1.8%
시 301
 
1.7%
주 293
 
1.7%
구 281
 
1.6%
상 280
 
1.6%
우 275
 
1.6%
Other values (560) 14021
81.5%
Uppercase Letter
ValueCountFrequency (%)
S 23
16.3%
K 19
13.5%
C 17
12.1%
L 12
8.5%
G 10
 
7.1%
A 8
 
5.7%
T 7
 
5.0%
B 7
 
5.0%
P 6
 
4.3%
M 5
 
3.5%
Other values (12) 27
19.1%
Lowercase Letter
ValueCountFrequency (%)
s 5
23.8%
k 2
 
9.5%
w 2
 
9.5%
e 2
 
9.5%
o 2
 
9.5%
u 1
 
4.8%
g 1
 
4.8%
c 1
 
4.8%
d 1
 
4.8%
b 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
1 266
36.5%
2 179
24.6%
3 70
 
9.6%
4 53
 
7.3%
6 40
 
5.5%
5 34
 
4.7%
0 30
 
4.1%
7 23
 
3.2%
8 21
 
2.9%
9 13
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 9
50.0%
: 6
33.3%
/ 2
 
11.1%
. 1
 
5.6%
Other Number
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Letter Number
ValueCountFrequency (%)
ⅱ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
762
100.0%
Open Punctuation
ValueCountFrequency (%)
( 618
100.0%
Close Punctuation
ValueCountFrequency (%)
) 618
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17212
85.1%
Common 2852
 
14.1%
Latin 164
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 454
 
2.6%
동 344
 
2.0%
사 342
 
2.0%
지 310
 
1.8%
원 308
 
1.8%
시 301
 
1.7%
주 293
 
1.7%
구 281
 
1.6%
상 280
 
1.6%
우 275
 
1.6%
Other values (561) 14024
81.5%
Latin
ValueCountFrequency (%)
S 23
14.0%
K 19
 
11.6%
C 17
 
10.4%
L 12
 
7.3%
G 10
 
6.1%
A 8
 
4.9%
T 7
 
4.3%
B 7
 
4.3%
P 6
 
3.7%
s 5
 
3.0%
Other values (27) 50
30.5%
Common
ValueCountFrequency (%)
762
26.7%
( 618
21.7%
) 618
21.7%
1 266
 
9.3%
2 179
 
6.3%
- 102
 
3.6%
3 70
 
2.5%
4 53
 
1.9%
6 40
 
1.4%
5 34
 
1.2%
Other values (11) 110
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17209
85.1%
ASCII 3012
 
14.9%
None 3
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
762
25.3%
( 618
20.5%
) 618
20.5%
1 266
 
8.8%
2 179
 
5.9%
- 102
 
3.4%
3 70
 
2.3%
4 53
 
1.8%
6 40
 
1.3%
5 34
 
1.1%
Other values (44) 270
 
9.0%
Hangul
ValueCountFrequency (%)
수 454
 
2.6%
동 344
 
2.0%
사 342
 
2.0%
지 310
 
1.8%
원 308
 
1.8%
시 301
 
1.7%
주 293
 
1.7%
구 281
 
1.6%
상 280
 
1.6%
우 275
 
1.6%
Other values (560) 14021
81.5%
None
ValueCountFrequency (%)
㈜ 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
50.0%
① 1
50.0%
Number Forms
ValueCountFrequency (%)
ⅱ 1
50.0%
Ⅱ 1
50.0%

최종수정일자
Date

Distinct2377
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Minimum2003-02-25 00:00:00
Maximum2024-05-09 17:05:42
2024-05-11T03:39:18.145116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:39:18.690598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
I
1443 
U
1119 
D
 
7

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 (%)
I 1443
56.2%
U 1119
43.6%
D 7
 
0.3%

Length

2024-05-11T03:39:19.385330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:39:19.911493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1443
56.2%
u 1119
43.6%
d 7
 
0.3%

데이터갱신일자
Date

Distinct366
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T03:39:20.702313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:39:21.543036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2569
Missing (%)100.0%
Memory size22.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1568
Distinct (%)92.0%
Missing864
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean199329.55
Minimum179465.5
Maximum215320.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-05-11T03:39:22.164623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum179465.5
5-th percentile185649.36
Q1192807.4
median201082.05
Q3205493.81
95-th percentile212413.83
Maximum215320.02
Range35854.52
Interquartile range (IQR)12686.411

Descriptive statistics

Standard deviation8170.6307
Coefficient of variation (CV)0.040990565
Kurtosis-0.95411167
Mean199329.55
Median Absolute Deviation (MAD)6639.7356
Skewness-0.13311404
Sum3.3985687 × 108
Variance66759205
MonotonicityNot monotonic
2024-05-11T03:39:22.606018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209394.231297346 13
 
0.5%
210199.45921923 6
 
0.2%
182141.205465089 4
 
0.2%
201100.600979283 4
 
0.2%
199423.101065865 4
 
0.2%
193798.948251805 4
 
0.2%
190941.203218879 3
 
0.1%
209790.959909032 3
 
0.1%
205305.922411917 3
 
0.1%
200250.447804795 3
 
0.1%
Other values (1558) 1658
64.5%
(Missing) 864
33.6%
ValueCountFrequency (%)
179465.504277527 2
0.1%
179516.891758626 1
 
< 0.1%
180553.105242122 1
 
< 0.1%
181170.47168067 1
 
< 0.1%
181372.350445345 1
 
< 0.1%
181485.173791815 1
 
< 0.1%
181566.954137636 1
 
< 0.1%
181682.433518522 1
 
< 0.1%
182141.205465089 4
0.2%
182882.878688057 2
0.1%
ValueCountFrequency (%)
215320.024234376 1
< 0.1%
215282.849907053 1
< 0.1%
215223.604630417 1
< 0.1%
215008.531272849 1
< 0.1%
214958.713997465 1
< 0.1%
214953.780958725 1
< 0.1%
214897.601169161 1
< 0.1%
214866.322882804 2
0.1%
214864.335921963 2
0.1%
214758.526480678 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1569
Distinct (%)92.0%
Missing864
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean449480.52
Minimum436477.11
Maximum465794.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-05-11T03:39:23.177198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436477.11
5-th percentile440712.21
Q1443951.24
median449074.43
Q3454203.28
95-th percentile461162.51
Maximum465794.09
Range29316.972
Interquartile range (IQR)10252.042

Descriptive statistics

Standard deviation6406.8109
Coefficient of variation (CV)0.014253812
Kurtosis-0.77316081
Mean449480.52
Median Absolute Deviation (MAD)5123.1977
Skewness0.35886173
Sum7.6636429 × 108
Variance41047226
MonotonicityNot monotonic
2024-05-11T03:39:23.764492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443951.236927017 13
 
0.5%
446539.279382444 6
 
0.2%
444376.532945802 4
 
0.2%
444258.555255416 4
 
0.2%
446579.652565611 4
 
0.2%
451078.47991 4
 
0.2%
449046.689333846 3
 
0.1%
444683.220506107 3
 
0.1%
440593.5758415 3
 
0.1%
449077.928763942 3
 
0.1%
Other values (1559) 1658
64.5%
(Missing) 864
33.6%
ValueCountFrequency (%)
436477.114291659 1
< 0.1%
436938.19207074 1
< 0.1%
437232.672587305 1
< 0.1%
437244.861159969 1
< 0.1%
437332.37832672 1
< 0.1%
437880.321300564 1
< 0.1%
437914.06299827 1
< 0.1%
437938.827513414 1
< 0.1%
437976.473247469 1
< 0.1%
438016.000584522 1
< 0.1%
ValueCountFrequency (%)
465794.086175946 1
< 0.1%
465460.110785499 1
< 0.1%
465434.287606105 1
< 0.1%
465275.378864957 1
< 0.1%
465165.043328496 1
< 0.1%
465094.18915856 1
< 0.1%
465025.246646886 1
< 0.1%
465017.323060748 1
< 0.1%
464905.033086911 1
< 0.1%
464766.089613886 2
0.1%

비상시설위치
Text

MISSING 

Distinct1705
Distinct (%)94.8%
Missing770
Missing (%)30.0%
Memory size20.2 KiB
2024-05-11T03:39:24.808991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length22.641467
Min length6

Characters and Unicode

Total characters40732
Distinct characters294
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1644 ?
Unique (%)91.4%

Sample

1st row서울특별시 종로구 서린동 33번지
2nd row서울특별시 종로구 창성동 117번지
3rd row서울특별시 성동구 성수동2가 281번지 16 호
4th row서울특별시 종로구 송현동 34번지
5th row서울특별시 종로구 사직동 1번지 28호
ValueCountFrequency (%)
서울특별시 1727
 
19.5%
호 361
 
4.1%
송파구 179
 
2.0%
1호 151
 
1.7%
동작구 118
 
1.3%
강동구 112
 
1.3%
금천구 110
 
1.2%
성동구 109
 
1.2%
강남구 94
 
1.1%
구로구 92
 
1.0%
Other values (1607) 5818
65.6%
2024-05-11T03:39:26.423219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8563
21.0%
동 2224
 
5.5%
서 1944
 
4.8%
구 1867
 
4.6%
시 1794
 
4.4%
울 1738
 
4.3%
별 1729
 
4.2%
특 1729
 
4.2%
지 1629
 
4.0%
번 1610
 
4.0%
Other values (284) 15905
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24826
60.9%
Space Separator 8563
 
21.0%
Decimal Number 7148
 
17.5%
Dash Punctuation 119
 
0.3%
Uppercase Letter 25
 
0.1%
Open Punctuation 24
 
0.1%
Close Punctuation 24
 
0.1%
Other Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2224
 
9.0%
서 1944
 
7.8%
구 1867
 
7.5%
시 1794
 
7.2%
울 1738
 
7.0%
별 1729
 
7.0%
특 1729
 
7.0%
지 1629
 
6.6%
번 1610
 
6.5%
호 1202
 
4.8%
Other values (259) 7360
29.6%
Decimal Number
ValueCountFrequency (%)
1 1495
20.9%
2 923
12.9%
3 787
11.0%
4 670
9.4%
5 626
8.8%
6 570
 
8.0%
9 538
 
7.5%
0 521
 
7.3%
7 511
 
7.1%
8 507
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
L 6
24.0%
C 5
20.0%
B 5
20.0%
K 3
12.0%
A 2
 
8.0%
M 1
 
4.0%
S 1
 
4.0%
D 1
 
4.0%
G 1
 
4.0%
Space Separator
ValueCountFrequency (%)
8563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24826
60.9%
Common 15880
39.0%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2224
 
9.0%
서 1944
 
7.8%
구 1867
 
7.5%
시 1794
 
7.2%
울 1738
 
7.0%
별 1729
 
7.0%
특 1729
 
7.0%
지 1629
 
6.6%
번 1610
 
6.5%
호 1202
 
4.8%
Other values (259) 7360
29.6%
Common
ValueCountFrequency (%)
8563
53.9%
1 1495
 
9.4%
2 923
 
5.8%
3 787
 
5.0%
4 670
 
4.2%
5 626
 
3.9%
6 570
 
3.6%
9 538
 
3.4%
0 521
 
3.3%
7 511
 
3.2%
Other values (5) 676
 
4.3%
Latin
ValueCountFrequency (%)
L 6
23.1%
C 5
19.2%
B 5
19.2%
K 3
11.5%
A 2
 
7.7%
M 1
 
3.8%
S 1
 
3.8%
D 1
 
3.8%
G 1
 
3.8%
Ⅱ 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24826
60.9%
ASCII 15905
39.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8563
53.8%
1 1495
 
9.4%
2 923
 
5.8%
3 787
 
4.9%
4 670
 
4.2%
5 626
 
3.9%
6 570
 
3.6%
9 538
 
3.4%
0 521
 
3.3%
7 511
 
3.2%
Other values (14) 701
 
4.4%
Hangul
ValueCountFrequency (%)
동 2224
 
9.0%
서 1944
 
7.8%
구 1867
 
7.5%
시 1794
 
7.2%
울 1738
 
7.0%
별 1729
 
7.0%
특 1729
 
7.0%
지 1629
 
6.6%
번 1610
 
6.5%
호 1202
 
4.8%
Other values (259) 7360
29.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

시설구분명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
민간시설
1431 
<NA>
748 
공공시설
241 
자치단체자체시설
 
88
정부지원시설
 
61

Length

Max length8
Median length4
Mean length4.1845076
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 1431
55.7%
<NA> 748
29.1%
공공시설 241
 
9.4%
자치단체자체시설 88
 
3.4%
정부지원시설 61
 
2.4%

Length

2024-05-11T03:39:27.038253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:39:27.550725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 1431
55.7%
na 748
29.1%
공공시설 241
 
9.4%
자치단체자체시설 88
 
3.4%
정부지원시설 61
 
2.4%

시설명_건물명
Text

MISSING 

Distinct1685
Distinct (%)92.5%
Missing748
Missing (%)29.1%
Memory size20.2 KiB
2024-05-11T03:39:28.317821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length7.5722131
Min length2

Characters and Unicode

Total characters13789
Distinct characters569
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1618 ?
Unique (%)88.9%

Sample

1st row영풍개발
2nd row정부기록문서보존소
3rd row호수사우나 (민간시설)
4th row덕성여중
5th row사직공원(약수터)
ValueCountFrequency (%)
구로구 70
 
3.1%
민방위비상급수시설 40
 
1.8%
비상급수시설 22
 
1.0%
민간지정비상급수시설 21
 
0.9%
민간시설 16
 
0.7%
14
 
0.6%
송파헬리오시티 7
 
0.3%
한국공항공사 7
 
0.3%
옆 7
 
0.3%
화곡1동 6
 
0.3%
Other values (1854) 2019
90.6%
2024-05-11T03:39:29.872376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 455
 
3.3%
( 455
 
3.3%
409
 
3.0%
수 313
 
2.3%
시 246
 
1.8%
사 232
 
1.7%
동 229
 
1.7%
구 229
 
1.7%
주 216
 
1.6%
상 205
 
1.5%
Other values (559) 10800
78.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11852
86.0%
Close Punctuation 455
 
3.3%
Open Punctuation 455
 
3.3%
Decimal Number 439
 
3.2%
Space Separator 409
 
3.0%
Uppercase Letter 95
 
0.7%
Dash Punctuation 55
 
0.4%
Other Punctuation 16
 
0.1%
Lowercase Letter 10
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 313
 
2.6%
시 246
 
2.1%
사 232
 
2.0%
동 229
 
1.9%
구 229
 
1.9%
주 216
 
1.8%
상 205
 
1.7%
설 204
 
1.7%
원 193
 
1.6%
공 183
 
1.5%
Other values (510) 9602
81.0%
Uppercase Letter
ValueCountFrequency (%)
K 16
16.8%
S 15
15.8%
C 14
14.7%
T 6
 
6.3%
G 6
 
6.3%
B 6
 
6.3%
L 5
 
5.3%
A 4
 
4.2%
P 4
 
4.2%
D 3
 
3.2%
Other values (10) 16
16.8%
Decimal Number
ValueCountFrequency (%)
1 123
28.0%
2 112
25.5%
3 44
 
10.0%
4 39
 
8.9%
6 28
 
6.4%
5 27
 
6.2%
0 21
 
4.8%
8 19
 
4.3%
7 15
 
3.4%
9 11
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
w 2
20.0%
k 2
20.0%
s 1
10.0%
d 1
10.0%
b 1
10.0%
t 1
10.0%
i 1
10.0%
e 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 7
43.8%
: 6
37.5%
/ 2
 
12.5%
. 1
 
6.2%
Letter Number
ValueCountFrequency (%)
ⅱ 1
50.0%
Ⅱ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 455
100.0%
Open Punctuation
ValueCountFrequency (%)
( 455
100.0%
Space Separator
ValueCountFrequency (%)
409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11853
86.0%
Common 1829
 
13.3%
Latin 107
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 313
 
2.6%
시 246
 
2.1%
사 232
 
2.0%
동 229
 
1.9%
구 229
 
1.9%
주 216
 
1.8%
상 205
 
1.7%
설 204
 
1.7%
원 193
 
1.6%
공 183
 
1.5%
Other values (511) 9603
81.0%
Latin
ValueCountFrequency (%)
K 16
15.0%
S 15
14.0%
C 14
13.1%
T 6
 
5.6%
G 6
 
5.6%
B 6
 
5.6%
L 5
 
4.7%
A 4
 
3.7%
P 4
 
3.7%
D 3
 
2.8%
Other values (20) 28
26.2%
Common
ValueCountFrequency (%)
) 455
24.9%
( 455
24.9%
409
22.4%
1 123
 
6.7%
2 112
 
6.1%
- 55
 
3.0%
3 44
 
2.4%
4 39
 
2.1%
6 28
 
1.5%
5 27
 
1.5%
Other values (8) 82
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11852
86.0%
ASCII 1934
 
14.0%
Number Forms 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 455
23.5%
( 455
23.5%
409
21.1%
1 123
 
6.4%
2 112
 
5.8%
- 55
 
2.8%
3 44
 
2.3%
4 39
 
2.0%
6 28
 
1.4%
5 27
 
1.4%
Other values (36) 187
9.7%
Hangul
ValueCountFrequency (%)
수 313
 
2.6%
시 246
 
2.1%
사 232
 
2.0%
동 229
 
1.9%
구 229
 
1.9%
주 216
 
1.8%
상 205
 
1.7%
설 204
 
1.7%
원 193
 
1.6%
공 183
 
1.5%
Other values (510) 9602
81.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
ⅱ 1
50.0%
Ⅱ 1
50.0%

해제일자
Real number (ℝ)

MISSING 

Distinct661
Distinct (%)50.2%
Missing1251
Missing (%)48.7%
Infinite0
Infinite (%)0.0%
Mean20119577
Minimum20030228
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2024-05-11T03:39:30.556643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20030228
5-th percentile20040907
Q120080116
median20120117
Q320160918
95-th percentile20202562
Maximum20220307
Range190079
Interquartile range (IQR)80801.5

Descriptive statistics

Standard deviation51596.55
Coefficient of variation (CV)0.0025644948
Kurtosis-1.1252154
Mean20119577
Median Absolute Deviation (MAD)40751.5
Skewness0.15810084
Sum2.6517602 × 1010
Variance2.662204 × 109
MonotonicityNot monotonic
2024-05-11T03:39:31.197739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030930 34
 
1.3%
20081001 26
 
1.0%
20061129 23
 
0.9%
20060124 16
 
0.6%
20110711 16
 
0.6%
20040101 15
 
0.6%
20060102 14
 
0.5%
20090101 13
 
0.5%
20061020 13
 
0.5%
20110614 11
 
0.4%
Other values (651) 1137
44.3%
(Missing) 1251
48.7%
ValueCountFrequency (%)
20030228 2
 
0.1%
20030825 1
 
< 0.1%
20030930 34
1.3%
20031104 2
 
0.1%
20031110 1
 
< 0.1%
20031208 3
 
0.1%
20031231 1
 
< 0.1%
20040101 15
0.6%
20040203 1
 
< 0.1%
20040416 1
 
< 0.1%
ValueCountFrequency (%)
20220307 2
0.1%
20220216 3
0.1%
20220215 3
0.1%
20220112 1
 
< 0.1%
20220104 1
 
< 0.1%
20220103 1
 
< 0.1%
20211222 2
0.1%
20211217 1
 
< 0.1%
20211214 1
 
< 0.1%
20211207 1
 
< 0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031500003150000-E2023000012023-03-27<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>624.0<NA>서울특별시 강서구 오곡동 224-1<NA><NA>인서울27골프클럽(1호공)2024-02-17 12:16:13U2023-12-01 23:09:00.0<NA>181372.350445449920.301325<NA><NA><NA><NA>
131500003150000-E2023000062023-02-28<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>86.0<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>
232000003200000-E2011000052011-06-16<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>288.0<NA>서울특별시 관악구 신림동 538번지 2호서울특별시 관악구 남부순환로 1471 (신림동)151-876KT 구로지사(조원동)2023-06-14 15:26:11U2022-12-05 23:07:00.0<NA>192342.519274442214.191246<NA><NA><NA><NA>
331500003150000-E2011000072011-06-30<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>40.0<NA>서울특별시 강서구 방화동 274번지 6호서울특별시 강서구 방화대로 354 (방화동)07592삼성세차장2024-02-17 12:17:25U2023-12-01 23:09:00.0<NA>183773.967485452261.119053<NA><NA><NA><NA>
431500003150000-E2006000682006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>230.0<NA>서울특별시 강서구 공항동 1370번지서울특별시 강서구 하늘길 260-0 (공항동)<NA>공항동 대한항공12024-02-17 12:14:51U2023-12-01 23:09:00.0<NA>183340.570263449522.97896<NA><NA><NA><NA>
532200003220000-E2021000012021-11-03<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>197.2<NA>서울특별시 강남구 일원동 743 디에이치 자이 개포서울특별시 강남구 영동대로 22(일원동, 디에이치 자이 개포)06346디에이치자이 개포2024-01-22 17:58:39U2023-11-30 22:04:00.0<NA>206573.648228443195.189239<NA><NA><NA><NA>
631500003150000-E2006000702006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80.0<NA>서울특별시 강서구 공항동 369번지 2호서울특별시 강서구 오정로 576 (공항동)157-816공항동 대한항공32024-02-17 12:15:13U2023-12-01 23:09:00.0<NA>183500.400032449309.351735<NA><NA><NA><NA>
730200003020000-E2023000012023-07-19<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100.0<NA>서울특별시 용산구 한강로3가 65-228 엘지유플러스서울특별시 용산구 한강대로 32, 엘지유플러스 (한강로3가)04389엘지유플러스 비상급수시설(음용수)2023-07-25 15:04:06I2022-12-06 22:07:00.0<NA>196701.958402446837.982164<NA><NA><NA><NA>
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931500003150000-E2006000162006-01-11<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>62.0<NA>서울특별시 강서구 등촌동 632번지 2호서울특별시 강서구 양천로 590 (등촌동)157-839태영아파트(등촌1동)2024-02-17 11:58:45U2023-12-01 23:09:00.0<NA>187921.329019450389.971066<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
255930400003040000-E20170000220170904<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1541.0<NA>서울특별시 광진구 구의동 254-32 광진경찰서서울특별시 광진구 자양로 167, 광진경찰서 (구의동)05024광진경찰서 지하주차장2021-10-14 18:48:10D2021-12-08 22:08:00.0<NA>207339.698688448954.948149<NA><NA><NA><NA>
256030400003040000-E20160000120161229<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>5441.0<NA>서울특별시 광진구 구의동 656 구의동새한아파트서울특별시 광진구 자양로26길 71(구의동, 구의동새한아파트)05041새한아파트 주차장2021-10-14 18:29:21D2021-12-08 22:08:00.0<NA>207716.883179448756.052153<NA><NA><NA><NA>
256130400003040000-E20130000120130101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1507.0<NA>서울특별시 광진구 구의동 233-2 신용보증기금서울특별시 광진구 광나루로 520, 신용보증기금 (구의동)05031신용보증기금 지하주차장2021-10-14 18:50:46D2021-12-08 22:08:00.0<NA>207640.249188449158.417089<NA><NA><NA><NA>
256231100003110000-E2022000012022-09-05<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>30.0<NA>서울특별시 은평구 불광동 105-118 불광주유소서울특별시 은평구 연서로 314, 불광주유소 (불광동)03346불광현대주유소2023-04-17 13:01:20U2022-12-03 23:09:00.0<NA>193565.328017457884.06159<NA><NA><NA><NA>
256332100003210000-E2008000872008-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>80.0<NA>서울특별시 서초구 방배동 1038번지서울특별시 서초구 효령로 84 (방배동, 대우효령아파트)06696대우효령아파트 단지상가 지하 1층2023-07-06 13:39:24U2022-12-07 00:08:00.0<NA>199390.558095441930.413286<NA><NA><NA><NA>
256432100003210000-E2008000842008-10-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>200.0<NA>서울특별시 서초구 양재동 55번지서울특별시 서초구 바우뫼로31길 70 (양재동, 횃불선교회관)06752선교횃불재단(2) 지하1층2024-01-05 16:34:52U2023-12-01 00:07:00.0<NA>202919.491282441901.762197<NA><NA><NA><NA>
256532100003210000-E2008000832008-10-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>230.0<NA>서울특별시 서초구 양재동 55번지서울특별시 서초구 바우뫼로31길 70 (양재동)137-889선교횃불재단(1)2024-01-05 16:34:09U2023-12-01 00:07:00.0<NA>202919.491282441901.762197<NA><NA><NA><NA>
256632100003210000-E2008000802008-10-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>69.0<NA>서울특별시 서초구 서초동 1706번지 4호서울특별시 서초구 서초대로45길 20 (서초동)137-884세광빌딩2024-01-05 14:52:03U2023-12-01 00:07:00.0<NA>200720.99763443552.161371<NA><NA><NA><NA>
256732100003210000-E2008000822008-10-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>60.0<NA>서울특별시 서초구 서초동 141번지 4호서울특별시 서초구 남부순환로328길 49 (서초동, 대성사)06757우면산대성사 22024-01-05 14:52:49U2023-12-01 00:07:00.0<NA>201116.821039441532.820759<NA><NA><NA><NA>
256832100003210000-E2008000462005-10-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>60.0<NA>서울특별시 서초구 우면동 142번지서울특별시 서초구 태봉로 114 (우면동, 한국교원단체총연합회)06764한국교원연합회 지하1층2024-01-05 16:32:54U2023-12-01 00:07:00.0<NA>202470.473876440382.696169<NA><NA><NA><NA>