Overview

Dataset statistics

Number of variables29
Number of observations118
Missing cells1030
Missing cells (%)30.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.5 KiB
Average record size in memory247.1 B

Variable types

Categorical8
Text6
DateTime4
Unsupported6
Numeric5

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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-20019/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (57.7%)Imbalance
시설구분명 is highly imbalanced (56.6%)Imbalance
인허가취소일자 has 38 (32.2%) missing valuesMissing
폐업일자 has 38 (32.2%) missing valuesMissing
휴업시작일자 has 118 (100.0%) missing valuesMissing
휴업종료일자 has 118 (100.0%) missing valuesMissing
재개업일자 has 118 (100.0%) missing valuesMissing
전화번호 has 118 (100.0%) missing valuesMissing
소재지우편번호 has 118 (100.0%) missing valuesMissing
도로명주소 has 46 (39.0%) missing valuesMissing
도로명우편번호 has 48 (40.7%) missing valuesMissing
업태구분명 has 118 (100.0%) missing valuesMissing
좌표정보(X) has 48 (40.7%) missing valuesMissing
좌표정보(Y) has 48 (40.7%) missing valuesMissing
비상시설위치 has 8 (6.8%) missing valuesMissing
시설명_건물명 has 8 (6.8%) missing valuesMissing
해제일자 has 40 (33.9%) 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
소재지면적 has 5 (4.2%) zerosZeros

Reproduction

Analysis started2024-05-11 07:00:02.285669
Analysis finished2024-05-11 07:00:03.013741
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3170000
118 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 118
100.0%

Length

2024-05-11T16:00:03.090993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:03.212197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 118
100.0%

관리번호
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T16:00:03.408290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2124
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

Unique118 ?
Unique (%)100.0%

Sample

1st row3170000-E198800002
2nd row3170000-E198900002
3rd row3170000-E199000001
4th row3170000-E199100001
5th row3170000-E199400012
ValueCountFrequency (%)
3170000-e198800002 1
 
0.8%
3170000-e200500038 1
 
0.8%
3170000-e200800002 1
 
0.8%
3170000-e200800001 1
 
0.8%
3170000-e200700003 1
 
0.8%
3170000-e200700002 1
 
0.8%
3170000-e200700001 1
 
0.8%
3170000-e200600003 1
 
0.8%
3170000-e200600002 1
 
0.8%
3170000-e200600001 1
 
0.8%
Other values (108) 108
91.5%
2024-05-11T16:00:03.908835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1094
51.5%
1 200
 
9.4%
3 152
 
7.2%
7 138
 
6.5%
2 131
 
6.2%
- 118
 
5.6%
E 118
 
5.6%
9 59
 
2.8%
5 57
 
2.7%
4 29
 
1.4%
Other values (2) 28
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1888
88.9%
Dash Punctuation 118
 
5.6%
Uppercase Letter 118
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1094
57.9%
1 200
 
10.6%
3 152
 
8.1%
7 138
 
7.3%
2 131
 
6.9%
9 59
 
3.1%
5 57
 
3.0%
4 29
 
1.5%
6 15
 
0.8%
8 13
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2006
94.4%
Latin 118
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1094
54.5%
1 200
 
10.0%
3 152
 
7.6%
7 138
 
6.9%
2 131
 
6.5%
- 118
 
5.9%
9 59
 
2.9%
5 57
 
2.8%
4 29
 
1.4%
6 15
 
0.7%
Latin
ValueCountFrequency (%)
E 118
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1094
51.5%
1 200
 
9.4%
3 152
 
7.2%
7 138
 
6.5%
2 131
 
6.2%
- 118
 
5.6%
E 118
 
5.6%
9 59
 
2.8%
5 57
 
2.7%
4 29
 
1.4%
Other values (2) 28
 
1.3%

인허가일자
Date

Distinct48
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1988-01-01 00:00:00
Maximum2019-08-09 00:00:00
2024-05-11T16:00:04.131733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:04.353398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Date

MISSING 

Distinct43
Distinct (%)53.8%
Missing38
Missing (%)32.2%
Memory size1.1 KiB
Minimum2005-06-10 00:00:00
Maximum2023-11-01 00:00:00
2024-05-11T16:00:04.540342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:04.761314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

영업상태코드
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
4
80 
1
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 80
67.8%
1 38
32.2%

Length

2024-05-11T16:00:05.009237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:05.140574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 80
67.8%
1 38
32.2%

영업상태명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
취소/말소/만료/정지/중지
80 
영업/정상
38 

Length

Max length14
Median length14
Mean length11.101695
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 80
67.8%
영업/정상 38
32.2%

Length

2024-05-11T16:00:05.269582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:05.391083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 80
67.8%
영업/정상 38
32.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
19
80 
18
38 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19 80
67.8%
18 38
32.2%

Length

2024-05-11T16:00:05.546033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:05.681647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 80
67.8%
18 38
32.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
사용중지
80 
사용중
38 

Length

Max length4
Median length4
Mean length3.6779661
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 80
67.8%
사용중 38
32.2%

Length

2024-05-11T16:00:05.831853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:06.010668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 80
67.8%
사용중 38
32.2%

폐업일자
Date

MISSING 

Distinct43
Distinct (%)53.8%
Missing38
Missing (%)32.2%
Memory size1.1 KiB
Minimum2005-06-10 00:00:00
Maximum2023-11-01 00:00:00
2024-05-11T16:00:06.285219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:06.534725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

소재지면적
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.067797
Minimum0
Maximum316
Zeros5
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:06.783355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q148.5
median60.5
Q385.75
95-th percentile121.35
Maximum316
Range316
Interquartile range (IQR)37.25

Descriptive statistics

Standard deviation43.349253
Coefficient of variation (CV)0.62763336
Kurtosis14.558644
Mean69.067797
Median Absolute Deviation (MAD)18.5
Skewness2.942178
Sum8150
Variance1879.1578
MonotonicityNot monotonic
2024-05-11T16:00:07.008452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
50 18
 
15.3%
70 8
 
6.8%
80 8
 
6.8%
42 8
 
6.8%
90 6
 
5.1%
100 6
 
5.1%
60 5
 
4.2%
0 5
 
4.2%
40 4
 
3.4%
55 4
 
3.4%
Other values (33) 46
39.0%
ValueCountFrequency (%)
0 5
4.2%
10 1
 
0.8%
30 4
3.4%
36 3
 
2.5%
38 1
 
0.8%
40 4
3.4%
42 8
6.8%
45 2
 
1.7%
46 1
 
0.8%
48 1
 
0.8%
ValueCountFrequency (%)
316 1
 
0.8%
300 1
 
0.8%
170 1
 
0.8%
150 1
 
0.8%
132 1
 
0.8%
129 1
 
0.8%
120 3
2.5%
115 1
 
0.8%
105 1
 
0.8%
100 6
5.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

지번주소
Text

Distinct114
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T16:00:07.495685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length28
Mean length23.864407
Min length17

Characters and Unicode

Total characters2816
Distinct characters39
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)94.1%

Sample

1st row서울특별시 금천구 독산동 1011번지 26호
2nd row서울특별시 금천구 독산동 200번지 9 호
3rd row서울특별시 금천구 시흥동 940번지 1호
4th row서울특별시 금천구 시흥동 984번지
5th row서울특별시 금천구 독산동 907번지 6호
ValueCountFrequency (%)
서울특별시 118
19.0%
금천구 118
19.0%
시흥동 56
 
9.0%
독산동 45
 
7.3%
호 34
 
5.5%
가산동 12
 
1.9%
1호 8
 
1.3%
1 6
 
1.0%
6호 6
 
1.0%
7호 4
 
0.6%
Other values (152) 213
34.4%
2024-05-11T16:00:08.215198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
625
22.2%
시 177
 
6.3%
동 119
 
4.2%
천 118
 
4.2%
울 118
 
4.2%
구 118
 
4.2%
서 118
 
4.2%
금 118
 
4.2%
별 118
 
4.2%
특 118
 
4.2%
Other values (29) 1069
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1653
58.7%
Space Separator 625
 
22.2%
Decimal Number 538
 
19.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 177
10.7%
동 119
 
7.2%
천 118
 
7.1%
울 118
 
7.1%
구 118
 
7.1%
서 118
 
7.1%
금 118
 
7.1%
별 118
 
7.1%
특 118
 
7.1%
번 117
 
7.1%
Other values (18) 414
25.0%
Decimal Number
ValueCountFrequency (%)
1 112
20.8%
0 80
14.9%
9 77
14.3%
2 55
10.2%
8 48
8.9%
3 46
8.6%
4 40
 
7.4%
5 28
 
5.2%
7 28
 
5.2%
6 24
 
4.5%
Space Separator
ValueCountFrequency (%)
625
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1653
58.7%
Common 1163
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 177
10.7%
동 119
 
7.2%
천 118
 
7.1%
울 118
 
7.1%
구 118
 
7.1%
서 118
 
7.1%
금 118
 
7.1%
별 118
 
7.1%
특 118
 
7.1%
번 117
 
7.1%
Other values (18) 414
25.0%
Common
ValueCountFrequency (%)
625
53.7%
1 112
 
9.6%
0 80
 
6.9%
9 77
 
6.6%
2 55
 
4.7%
8 48
 
4.1%
3 46
 
4.0%
4 40
 
3.4%
5 28
 
2.4%
7 28
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1653
58.7%
ASCII 1163
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
625
53.7%
1 112
 
9.6%
0 80
 
6.9%
9 77
 
6.6%
2 55
 
4.7%
8 48
 
4.1%
3 46
 
4.0%
4 40
 
3.4%
5 28
 
2.4%
7 28
 
2.4%
Hangul
ValueCountFrequency (%)
시 177
10.7%
동 119
 
7.2%
천 118
 
7.1%
울 118
 
7.1%
구 118
 
7.1%
서 118
 
7.1%
금 118
 
7.1%
별 118
 
7.1%
특 118
 
7.1%
번 117
 
7.1%
Other values (18) 414
25.0%

도로명주소
Text

MISSING 

Distinct70
Distinct (%)97.2%
Missing46
Missing (%)39.0%
Memory size1.1 KiB
2024-05-11T16:00:08.698798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length29.305556
Min length22

Characters and Unicode

Total characters2110
Distinct characters142
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

Unique69 ?
Unique (%)95.8%

Sample

1st row서울특별시 금천구 시흥대로101길 3-22 (독산동, 도하,군인아파트)
2nd row서울특별시 금천구 시흥대로 106-1 (시흥동, 유영빌딩)
3rd row서울특별시 금천구 시흥대로 97 (시흥동, 시흥유통상가)
4th row서울특별시 금천구 문성로 54 (독산동)
5th row서울특별시 금천구 시흥대로147길 24 (독산동, 임마누엘교회)
ValueCountFrequency (%)
서울특별시 72
18.0%
금천구 72
18.0%
독산동 31
 
7.8%
시흥동 31
 
7.8%
시흥대로 17
 
4.3%
가산동 10
 
2.5%
가산로 6
 
1.5%
독산로 4
 
1.0%
서부샛길 3
 
0.8%
시흥대로63길 3
 
0.8%
Other values (131) 150
37.6%
2024-05-11T16:00:09.407983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
 
15.8%
시 142
 
6.7%
서 79
 
3.7%
동 78
 
3.7%
금 76
 
3.6%
천 75
 
3.6%
( 75
 
3.6%
) 75
 
3.6%
구 74
 
3.5%
울 73
 
3.5%
Other values (132) 1030
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1314
62.3%
Space Separator 333
 
15.8%
Decimal Number 260
 
12.3%
Open Punctuation 75
 
3.6%
Close Punctuation 75
 
3.6%
Other Punctuation 40
 
1.9%
Dash Punctuation 11
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 142
 
10.8%
서 79
 
6.0%
동 78
 
5.9%
금 76
 
5.8%
천 75
 
5.7%
구 74
 
5.6%
울 73
 
5.6%
특 72
 
5.5%
별 72
 
5.5%
로 71
 
5.4%
Other values (115) 502
38.2%
Decimal Number
ValueCountFrequency (%)
1 38
14.6%
3 35
13.5%
2 34
13.1%
5 28
10.8%
0 27
10.4%
7 25
9.6%
6 21
8.1%
8 20
7.7%
4 20
7.7%
9 12
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1314
62.3%
Common 794
37.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 142
 
10.8%
서 79
 
6.0%
동 78
 
5.9%
금 76
 
5.8%
천 75
 
5.7%
구 74
 
5.6%
울 73
 
5.6%
특 72
 
5.5%
별 72
 
5.5%
로 71
 
5.4%
Other values (115) 502
38.2%
Common
ValueCountFrequency (%)
333
41.9%
( 75
 
9.4%
) 75
 
9.4%
, 40
 
5.0%
1 38
 
4.8%
3 35
 
4.4%
2 34
 
4.3%
5 28
 
3.5%
0 27
 
3.4%
7 25
 
3.1%
Other values (5) 84
 
10.6%
Latin
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1314
62.3%
ASCII 796
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
41.8%
( 75
 
9.4%
) 75
 
9.4%
, 40
 
5.0%
1 38
 
4.8%
3 35
 
4.4%
2 34
 
4.3%
5 28
 
3.5%
0 27
 
3.4%
7 25
 
3.1%
Other values (7) 86
 
10.8%
Hangul
ValueCountFrequency (%)
시 142
 
10.8%
서 79
 
6.0%
동 78
 
5.9%
금 76
 
5.8%
천 75
 
5.7%
구 74
 
5.6%
울 73
 
5.6%
특 72
 
5.5%
별 72
 
5.5%
로 71
 
5.4%
Other values (115) 502
38.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)85.7%
Missing48
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean21015.943
Minimum8501
Maximum153844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:09.645210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8501
5-th percentile8513.9
Q18556
median8604
Q38638.25
95-th percentile153450.9
Maximum153844
Range145343
Interquartile range (IQR)82.25

Descriptive statistics

Standard deviation40875.439
Coefficient of variation (CV)1.9449729
Kurtosis7.3605856
Mean21015.943
Median Absolute Deviation (MAD)41.5
Skewness3.025047
Sum1471116
Variance1.6708015 × 109
MonotonicityNot monotonic
2024-05-11T16:00:09.857684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8651 3
 
2.5%
8580 3
 
2.5%
8556 2
 
1.7%
8641 2
 
1.7%
8559 2
 
1.7%
8650 2
 
1.7%
8632 2
 
1.7%
8596 2
 
1.7%
8505 1
 
0.8%
8523 1
 
0.8%
Other values (50) 50
42.4%
(Missing) 48
40.7%
ValueCountFrequency (%)
8501 1
0.8%
8505 1
0.8%
8509 1
0.8%
8513 1
0.8%
8515 1
0.8%
8523 1
0.8%
8532 1
0.8%
8533 1
0.8%
8535 1
0.8%
8537 1
0.8%
ValueCountFrequency (%)
153844 1
 
0.8%
153837 1
 
0.8%
153825 1
 
0.8%
153801 1
 
0.8%
153023 1
 
0.8%
153012 1
 
0.8%
8655 1
 
0.8%
8654 1
 
0.8%
8651 3
2.5%
8650 2
1.7%

사업장명
Text

Distinct111
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T16:00:10.343987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.7627119
Min length3

Characters and Unicode

Total characters680
Distinct characters218
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

Unique104 ?
Unique (%)88.1%

Sample

1st row군인아파트
2nd row카프리모텔
3rd row유영빌딩
4th row유통사우나
5th row청지기카센타
ValueCountFrequency (%)
ok택시 2
 
1.6%
유통사우나 2
 
1.6%
약수탕 2
 
1.6%
금천디지털타워 2
 
1.6%
문화주유소 2
 
1.6%
대순진리회 2
 
1.6%
유영빌딩 2
 
1.6%
옆 2
 
1.6%
윈저호텔 1
 
0.8%
힐튼파크 1
 
0.8%
Other values (108) 108
85.7%
2024-05-11T16:00:11.130584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
2.9%
( 16
 
2.4%
) 16
 
2.4%
수 14
 
2.1%
사 14
 
2.1%
유 14
 
2.1%
나 13
 
1.9%
우 11
 
1.6%
소 11
 
1.6%
텔 10
 
1.5%
Other values (208) 541
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 597
87.8%
Decimal Number 25
 
3.7%
Open Punctuation 16
 
2.4%
Close Punctuation 16
 
2.4%
Uppercase Letter 15
 
2.2%
Space Separator 8
 
1.2%
Dash Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
3.4%
수 14
 
2.3%
사 14
 
2.3%
유 14
 
2.3%
나 13
 
2.2%
우 11
 
1.8%
소 11
 
1.8%
텔 10
 
1.7%
산 10
 
1.7%
호 10
 
1.7%
Other values (187) 470
78.7%
Decimal Number
ValueCountFrequency (%)
2 8
32.0%
1 5
20.0%
0 3
 
12.0%
3 2
 
8.0%
9 2
 
8.0%
4 2
 
8.0%
7 1
 
4.0%
5 1
 
4.0%
8 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
K 6
40.0%
S 3
20.0%
O 2
 
13.3%
P 1
 
6.7%
I 1
 
6.7%
V 1
 
6.7%
L 1
 
6.7%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 597
87.8%
Common 67
 
9.9%
Latin 16
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
3.4%
수 14
 
2.3%
사 14
 
2.3%
유 14
 
2.3%
나 13
 
2.2%
우 11
 
1.8%
소 11
 
1.8%
텔 10
 
1.7%
산 10
 
1.7%
호 10
 
1.7%
Other values (187) 470
78.7%
Common
ValueCountFrequency (%)
( 16
23.9%
) 16
23.9%
8
11.9%
2 8
11.9%
1 5
 
7.5%
0 3
 
4.5%
- 2
 
3.0%
3 2
 
3.0%
9 2
 
3.0%
4 2
 
3.0%
Other values (3) 3
 
4.5%
Latin
ValueCountFrequency (%)
K 6
37.5%
S 3
18.8%
O 2
 
12.5%
P 1
 
6.2%
I 1
 
6.2%
V 1
 
6.2%
k 1
 
6.2%
L 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 597
87.8%
ASCII 83
 
12.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
3.4%
수 14
 
2.3%
사 14
 
2.3%
유 14
 
2.3%
나 13
 
2.2%
우 11
 
1.8%
소 11
 
1.8%
텔 10
 
1.7%
산 10
 
1.7%
호 10
 
1.7%
Other values (187) 470
78.7%
ASCII
ValueCountFrequency (%)
( 16
19.3%
) 16
19.3%
8
9.6%
2 8
9.6%
K 6
 
7.2%
1 5
 
6.0%
0 3
 
3.6%
S 3
 
3.6%
O 2
 
2.4%
- 2
 
2.4%
Other values (11) 14
16.9%

최종수정일자
Date

Distinct105
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2005-06-21 00:00:00
Maximum2024-01-31 08:09:09
2024-05-11T16:00:11.395525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:00:11.635131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
90 
U
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 90
76.3%
U 28
 
23.7%

Length

2024-05-11T16:00:11.846466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:12.009549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 90
76.3%
u 28
 
23.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct16
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2018-08-31 23:59:59.0
89 
2022-03-26 02:40:00.0
 
5
2021-06-04 02:40:00.0
 
4
2019-06-26 02:40:00.0
 
4
2022-12-09 00:09:00.0
 
3
Other values (11)
13 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique9 ?
Unique (%)7.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 89
75.4%
2022-03-26 02:40:00.0 5
 
4.2%
2021-06-04 02:40:00.0 4
 
3.4%
2019-06-26 02:40:00.0 4
 
3.4%
2022-12-09 00:09:00.0 3
 
2.5%
2021-08-22 02:40:00.0 2
 
1.7%
2018-10-25 02:37:51.0 2
 
1.7%
2023-11-30 23:03:00.0 1
 
0.8%
2022-12-09 00:06:00.0 1
 
0.8%
2022-10-31 22:02:00.0 1
 
0.8%
Other values (6) 6
 
5.1%

Length

2024-05-11T16:00:12.197094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 89
37.7%
23:59:59.0 89
37.7%
02:40:00.0 18
 
7.6%
2022-03-26 5
 
2.1%
2021-06-04 4
 
1.7%
2019-06-26 4
 
1.7%
2022-12-09 4
 
1.7%
00:09:00.0 3
 
1.3%
02:37:51.0 2
 
0.8%
2021-08-22 2
 
0.8%
Other values (15) 16
 
6.8%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing118
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)95.7%
Missing48
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean191142.07
Minimum189045.77
Maximum193040.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:12.424282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189045.77
5-th percentile189922.13
Q1190831.7
median191225.18
Q3191548.87
95-th percentile191926.97
Maximum193040.78
Range3995.007
Interquartile range (IQR)717.17407

Descriptive statistics

Standard deviation676.63852
Coefficient of variation (CV)0.0035399769
Kurtosis1.8069979
Mean191142.07
Median Absolute Deviation (MAD)393.0798
Skewness-0.68005497
Sum13379945
Variance457839.68
MonotonicityNot monotonic
2024-05-11T16:00:12.713331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190941.203218879 3
 
2.5%
190570.430320785 2
 
1.7%
190488.387426164 1
 
0.8%
190213.674354302 1
 
0.8%
191374.483103698 1
 
0.8%
190685.702791808 1
 
0.8%
191816.552833153 1
 
0.8%
191258.283989008 1
 
0.8%
190935.183405275 1
 
0.8%
190831.291917458 1
 
0.8%
Other values (57) 57
48.3%
(Missing) 48
40.7%
ValueCountFrequency (%)
189045.768055551 1
0.8%
189133.755019137 1
0.8%
189691.858978981 1
0.8%
189860.850742217 1
0.8%
189997.029888156 1
0.8%
190168.325219443 1
0.8%
190213.674354302 1
0.8%
190328.004966357 1
0.8%
190488.387426164 1
0.8%
190567.430590356 1
0.8%
ValueCountFrequency (%)
193040.775010727 1
0.8%
192350.237217477 1
0.8%
192018.87359797 1
0.8%
191939.663431765 1
0.8%
191911.448935236 1
0.8%
191853.378601365 1
0.8%
191823.026849977 1
0.8%
191817.096170507 1
0.8%
191816.552833153 1
0.8%
191811.303712706 1
0.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)95.7%
Missing48
Missing (%)40.7%
Infinite0
Infinite (%)0.0%
Mean439988.59
Minimum436938.19
Maximum442365.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:13.006291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum436938.19
5-th percentile437895.51
Q1438948.79
median440035.95
Q3441128.19
95-th percentile441933.27
Maximum442365.8
Range5427.6042
Interquartile range (IQR)2179.4022

Descriptive statistics

Standard deviation1379.4281
Coefficient of variation (CV)0.0031351452
Kurtosis-0.83820525
Mean439988.59
Median Absolute Deviation (MAD)1099.7039
Skewness-0.23909015
Sum30799201
Variance1902822
MonotonicityNot monotonic
2024-05-11T16:00:13.261773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440593.5758415 3
 
2.5%
441432.660331803 2
 
1.7%
440819.885062152 1
 
0.8%
441843.959941487 1
 
0.8%
440359.640868611 1
 
0.8%
441089.153411512 1
 
0.8%
438659.79409872 1
 
0.8%
438619.532563412 1
 
0.8%
439968.850523897 1
 
0.8%
440344.745637385 1
 
0.8%
Other values (57) 57
48.3%
(Missing) 48
40.7%
ValueCountFrequency (%)
436938.19207074 1
0.8%
437232.672587305 1
0.8%
437244.861159969 1
0.8%
437880.321300564 1
0.8%
437914.06299827 1
0.8%
437938.827513414 1
0.8%
437976.473247469 1
0.8%
438018.443262679 1
0.8%
438040.641203477 1
0.8%
438294.344091932 1
0.8%
ValueCountFrequency (%)
442365.79629336 1
0.8%
442354.304734197 1
0.8%
442043.878227727 1
0.8%
442006.346560942 1
0.8%
441843.959941487 1
0.8%
441806.212135891 1
0.8%
441801.751902012 1
0.8%
441744.166597087 1
0.8%
441664.032623001 1
0.8%
441630.839989959 1
0.8%

비상시설위치
Text

MISSING 

Distinct106
Distinct (%)96.4%
Missing8
Missing (%)6.8%
Memory size1.1 KiB
2024-05-11T16:00:13.681725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length28
Mean length24.009091
Min length19

Characters and Unicode

Total characters2641
Distinct characters39
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)93.6%

Sample

1st row서울특별시 금천구 독산동 1011번지 26호
2nd row서울특별시 금천구 독산동 200번지 9 호
3rd row서울특별시 금천구 시흥동 940번지 1호
4th row서울특별시 금천구 시흥동 984번지
5th row서울특별시 금천구 독산동 907번지 6호
ValueCountFrequency (%)
서울특별시 110
18.9%
금천구 110
18.9%
시흥동 55
 
9.5%
독산동 39
 
6.7%
호 34
 
5.9%
가산동 11
 
1.9%
1호 7
 
1.2%
1 6
 
1.0%
6호 5
 
0.9%
8호 4
 
0.7%
Other values (142) 200
34.4%
2024-05-11T16:00:14.647733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
22.5%
시 168
 
6.4%
동 111
 
4.2%
구 110
 
4.2%
울 110
 
4.2%
지 110
 
4.2%
번 110
 
4.2%
서 110
 
4.2%
천 110
 
4.2%
금 110
 
4.2%
Other values (29) 998
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1544
58.5%
Space Separator 594
 
22.5%
Decimal Number 503
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 168
10.9%
동 111
 
7.2%
구 110
 
7.1%
울 110
 
7.1%
지 110
 
7.1%
번 110
 
7.1%
서 110
 
7.1%
천 110
 
7.1%
금 110
 
7.1%
별 110
 
7.1%
Other values (18) 385
24.9%
Decimal Number
ValueCountFrequency (%)
1 104
20.7%
0 78
15.5%
9 72
14.3%
2 50
9.9%
8 43
8.5%
3 43
8.5%
4 36
 
7.2%
5 28
 
5.6%
7 26
 
5.2%
6 23
 
4.6%
Space Separator
ValueCountFrequency (%)
594
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1544
58.5%
Common 1097
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 168
10.9%
동 111
 
7.2%
구 110
 
7.1%
울 110
 
7.1%
지 110
 
7.1%
번 110
 
7.1%
서 110
 
7.1%
천 110
 
7.1%
금 110
 
7.1%
별 110
 
7.1%
Other values (18) 385
24.9%
Common
ValueCountFrequency (%)
594
54.1%
1 104
 
9.5%
0 78
 
7.1%
9 72
 
6.6%
2 50
 
4.6%
8 43
 
3.9%
3 43
 
3.9%
4 36
 
3.3%
5 28
 
2.6%
7 26
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1544
58.5%
ASCII 1097
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
54.1%
1 104
 
9.5%
0 78
 
7.1%
9 72
 
6.6%
2 50
 
4.6%
8 43
 
3.9%
3 43
 
3.9%
4 36
 
3.3%
5 28
 
2.6%
7 26
 
2.4%
Hangul
ValueCountFrequency (%)
시 168
10.9%
동 111
 
7.2%
구 110
 
7.1%
울 110
 
7.1%
지 110
 
7.1%
번 110
 
7.1%
서 110
 
7.1%
천 110
 
7.1%
금 110
 
7.1%
별 110
 
7.1%
Other values (18) 385
24.9%

시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
민간시설
97 
<NA>
 
8
자치단체자체시설
 
6
공공시설
 
5
정부지원시설
 
2

Length

Max length8
Median length4
Mean length4.2372881
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자치단체자체시설
2nd row민간시설
3rd row민간시설
4th row민간시설
5th row민간시설

Common Values

ValueCountFrequency (%)
민간시설 97
82.2%
<NA> 8
 
6.8%
자치단체자체시설 6
 
5.1%
공공시설 5
 
4.2%
정부지원시설 2
 
1.7%

Length

2024-05-11T16:00:14.874466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:00:15.030866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 97
82.2%
na 8
 
6.8%
자치단체자체시설 6
 
5.1%
공공시설 5
 
4.2%
정부지원시설 2
 
1.7%

시설명_건물명
Text

MISSING 

Distinct103
Distinct (%)93.6%
Missing8
Missing (%)6.8%
Memory size1.1 KiB
2024-05-11T16:00:15.468528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.7636364
Min length3

Characters and Unicode

Total characters634
Distinct characters214
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

Unique96 ?
Unique (%)87.3%

Sample

1st row군인아파트
2nd row카프리모텔
3rd row유영빌딩
4th row유통사우나
5th row청지기카센타
ValueCountFrequency (%)
문화주유소 2
 
1.7%
유통사우나 2
 
1.7%
옆 2
 
1.7%
유영빌딩 2
 
1.7%
약수탕 2
 
1.7%
대순진리회 2
 
1.7%
ok택시 2
 
1.7%
금천디지털타워 2
 
1.7%
윈저호텔 1
 
0.9%
자연유치원 1
 
0.9%
Other values (99) 99
84.6%
2024-05-11T16:00:16.083212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
3.2%
) 15
 
2.4%
( 15
 
2.4%
유 14
 
2.2%
수 13
 
2.1%
사 12
 
1.9%
소 11
 
1.7%
나 11
 
1.7%
산 10
 
1.6%
우 9
 
1.4%
Other values (204) 504
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 554
87.4%
Decimal Number 25
 
3.9%
Close Punctuation 15
 
2.4%
Open Punctuation 15
 
2.4%
Uppercase Letter 15
 
2.4%
Space Separator 7
 
1.1%
Dash Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
3.6%
유 14
 
2.5%
수 13
 
2.3%
사 12
 
2.2%
소 11
 
2.0%
나 11
 
2.0%
산 10
 
1.8%
우 9
 
1.6%
텔 9
 
1.6%
호 9
 
1.6%
Other values (183) 436
78.7%
Decimal Number
ValueCountFrequency (%)
2 8
32.0%
1 5
20.0%
0 3
 
12.0%
4 2
 
8.0%
3 2
 
8.0%
9 2
 
8.0%
5 1
 
4.0%
7 1
 
4.0%
8 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
K 6
40.0%
S 3
20.0%
O 2
 
13.3%
L 1
 
6.7%
P 1
 
6.7%
I 1
 
6.7%
V 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 554
87.4%
Common 64
 
10.1%
Latin 16
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
3.6%
유 14
 
2.5%
수 13
 
2.3%
사 12
 
2.2%
소 11
 
2.0%
나 11
 
2.0%
산 10
 
1.8%
우 9
 
1.6%
텔 9
 
1.6%
호 9
 
1.6%
Other values (183) 436
78.7%
Common
ValueCountFrequency (%)
) 15
23.4%
( 15
23.4%
2 8
12.5%
7
10.9%
1 5
 
7.8%
0 3
 
4.7%
- 2
 
3.1%
4 2
 
3.1%
3 2
 
3.1%
9 2
 
3.1%
Other values (3) 3
 
4.7%
Latin
ValueCountFrequency (%)
K 6
37.5%
S 3
18.8%
O 2
 
12.5%
k 1
 
6.2%
L 1
 
6.2%
P 1
 
6.2%
I 1
 
6.2%
V 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 554
87.4%
ASCII 80
 
12.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
3.6%
유 14
 
2.5%
수 13
 
2.3%
사 12
 
2.2%
소 11
 
2.0%
나 11
 
2.0%
산 10
 
1.8%
우 9
 
1.6%
텔 9
 
1.6%
호 9
 
1.6%
Other values (183) 436
78.7%
ASCII
ValueCountFrequency (%)
) 15
18.8%
( 15
18.8%
2 8
10.0%
7
8.8%
K 6
 
7.5%
1 5
 
6.2%
0 3
 
3.8%
S 3
 
3.8%
- 2
 
2.5%
4 2
 
2.5%
Other values (11) 14
17.5%

해제일자
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)52.6%
Missing40
Missing (%)33.9%
Infinite0
Infinite (%)0.0%
Mean20124242
Minimum20050610
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T16:00:16.330679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050610
5-th percentile20060602
Q120066102
median20105909
Q320180896
95-th percentile20220127
Maximum20220307
Range169697
Interquartile range (IQR)114793.5

Descriptive statistics

Standard deviation57758.229
Coefficient of variation (CV)0.0028700821
Kurtosis-1.354522
Mean20124242
Median Absolute Deviation (MAD)44889
Skewness0.38234989
Sum1.5696909 × 109
Variance3.336013 × 109
MonotonicityNot monotonic
2024-05-11T16:00:16.625673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
20061020 13
 
11.0%
20090101 7
 
5.9%
20081107 5
 
4.2%
20190619 4
 
3.4%
20110601 4
 
3.4%
20130103 3
 
2.5%
20101217 3
 
2.5%
20210602 3
 
2.5%
20220215 3
 
2.5%
20140115 2
 
1.7%
Other values (31) 31
26.3%
(Missing) 40
33.9%
ValueCountFrequency (%)
20050610 1
 
0.8%
20050620 1
 
0.8%
20050621 1
 
0.8%
20060501 1
 
0.8%
20060620 1
 
0.8%
20060621 1
 
0.8%
20061020 13
11.0%
20061101 1
 
0.8%
20081107 5
 
4.2%
20081110 1
 
0.8%
ValueCountFrequency (%)
20220307 1
 
0.8%
20220215 3
2.5%
20220112 1
 
0.8%
20210803 1
 
0.8%
20210712 1
 
0.8%
20210607 1
 
0.8%
20210602 3
2.5%
20210101 1
 
0.8%
20200303 1
 
0.8%
20200103 1
 
0.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
031700003170000-E19880000219880101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>105<NA>서울특별시 금천구 독산동 1011번지 26호서울특별시 금천구 시흥대로101길 3-22 (독산동, 도하,군인아파트)8605군인아파트2017-06-01 10:35:45I2018-08-31 23:59:59.0<NA>190825.169145440070.157692서울특별시 금천구 독산동 1011번지 26호자치단체자체시설군인아파트<NA>
131700003170000-E19890000219890101200610204취소/말소/만료/정지/중지19사용중지20061020<NA><NA><NA><NA>300<NA>서울특별시 금천구 독산동 200번지 9 호<NA><NA>카프리모텔2006-10-25 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 금천구 독산동 200번지 9 호민간시설카프리모텔20061020
231700003170000-E19900000119900608<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 금천구 시흥동 940번지 1호서울특별시 금천구 시흥대로 106-1 (시흥동, 유영빌딩)8651유영빌딩2017-10-31 10:43:22I2018-08-31 23:59:59.0<NA>191448.064062437938.827513서울특별시 금천구 시흥동 940번지 1호민간시설유영빌딩<NA>
331700003170000-E19910000119910603<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 금천구 시흥동 984번지서울특별시 금천구 시흥대로 97 (시흥동, 시흥유통상가)8639유통사우나2017-10-31 10:45:44I2018-08-31 23:59:59.0<NA>191226.287379437914.062998서울특별시 금천구 시흥동 984번지민간시설유통사우나<NA>
431700003170000-E19940001219940101<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>36<NA>서울특별시 금천구 독산동 907번지 6호서울특별시 금천구 문성로 54 (독산동)8551청지기카센타2017-04-17 14:08:35I2018-08-31 23:59:59.0<NA>191939.663432441630.83999서울특별시 금천구 독산동 907번지 6호민간시설청지기카센타<NA>
531700003170000-E19940001319940101200610204취소/말소/만료/정지/중지19사용중지20061020<NA><NA><NA><NA>120<NA>서울특별시 금천구 독산동 898번지 24 호 01 통 06 반 독산3동공용주차장<NA><NA>독산3동공용주차장2006-10-25 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 금천구 독산동 898번지 24 호 01 통 06 반 독산3동공용주차장자치단체자체시설독산3동공용주차장20061020
631700003170000-E19940001419940621200506214취소/말소/만료/정지/중지19사용중지20050621<NA><NA><NA><NA>10<NA>서울특별시 금천구 시흥동 992번지 27 호<NA><NA>수중모터2005-06-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 금천구 시흥동 992번지 27 호민간시설수중모터20050621
731700003170000-E19940001519940101200901014취소/말소/만료/정지/중지19사용중지20090101<NA><NA><NA><NA>70<NA>서울특별시 금천구 독산동 1023번지 1 호<NA><NA>LK스포츠센처2009-06-16 09:35:47I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 금천구 독산동 1023번지 1 호민간시설LK스포츠센처20090101
831700003170000-E19940001619940101201706024취소/말소/만료/정지/중지19사용중지20170602<NA><NA><NA><NA>70<NA>서울특별시 금천구 독산동 147번지 24호서울특별시 금천구 시흥대로147길 24 (독산동, 임마누엘교회)8533상명빌딩2017-06-02 13:35:22I2018-08-31 23:59:59.0<NA>190810.8349441367.022662서울특별시 금천구 독산동 147번지 24호민간시설상명빌딩20170602
931700003170000-E1994000171994-01-01<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 금천구 독산동 708서울특별시 금천구 서부샛길 156 (독산동)8596경성운수2024-01-11 11:40:16U2023-11-30 23:03:00.0<NA>190168.325219440001.745482<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
10831700003170000-E20160000120160309201906194취소/말소/만료/정지/중지19사용중지20190619<NA><NA><NA><NA>30<NA>서울특별시 금천구 가산동 60번지 31호서울특별시 금천구 벚꽃로 232 (가산동, 두온시스템(주))8513죠이라이프2019-06-24 16:54:16U2019-06-26 02:40:00.0<NA>189860.850742441484.689076서울특별시 금천구 가산동 60번지 31호민간시설죠이라이프20190619
10931700003170000-E20170000120170825202106074취소/말소/만료/정지/중지19사용중지20210607<NA><NA><NA><NA>85<NA>서울특별시 금천구 가산동 459번지 2호서울특별시 금천구 가산디지털1로 205-38 (가산동, 경동나비엔)8501(주)경동나비엔2021-06-07 13:06:57U2021-06-09 02:40:00.0<NA>189133.755019442365.796293서울특별시 금천구 가산동 459번지 2호민간시설(주)경동나비엔20210607
11031700003170000-E20170000220170825201906194취소/말소/만료/정지/중지19사용중지20190619<NA><NA><NA><NA>90<NA>서울특별시 금천구 가산동 547번지 63호서울특별시 금천구 서부샛길 584 (가산동, 골드리버관광호텔)8505골드리버관광호텔2019-06-24 16:55:39U2019-06-26 02:40:00.0<NA>189045.768056441806.212136서울특별시 금천구 가산동 547번지 63호민간시설골드리버관광호텔20190619
11131700003170000-E20170000320170825201906194취소/말소/만료/정지/중지19사용중지20190619<NA><NA><NA><NA>55<NA>서울특별시 금천구 독산동 720번지 6호서울특별시 금천구 서부샛길 102 (독산동)8596금천디지털타워2019-06-24 16:56:58U2019-06-26 02:40:00.0<NA>190328.004966439756.768186서울특별시 금천구 독산동 720번지 6호민간시설금천디지털타워20190619
11231700003170000-E20170000420170825<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>88<NA>서울특별시 금천구 시흥동 939번지 4호서울특별시 금천구 시흥대로 118 (시흥동, 일신주유소)8650지에스칼텍스(주)일신점2017-10-31 11:01:11I2018-08-31 23:59:59.0<NA>191458.481117438040.641203서울특별시 금천구 시흥동 939번지 4호민간시설지에스칼텍스(주)일신점<NA>
11331700003170000-E20170000520170825<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>72<NA>서울특별시 금천구 시흥동 980번지서울특별시 금천구 시흥대로 39-7 (시흥동, 박미주유소)8641SK네트웍스(주)박미주유소2017-10-31 15:54:33I2018-08-31 23:59:59.0<NA>191295.440419437232.672587서울특별시 금천구 시흥동 980번지민간시설SK네트웍스(주)박미주유소<NA>
11431700003170000-E20170000620170704201810234취소/말소/만료/정지/중지19사용중지20181023<NA><NA><NA><NA>63<NA>서울특별시 금천구 독산동 292번지 7호서울특별시 금천구 시흥대로 377 (독산동)8585성원산업2018-10-23 15:06:45U2018-10-25 02:37:51.0<NA>190832.914679440563.607141서울특별시 금천구 독산동 292번지 7호민간시설성원산업20181023
11531700003170000-E20170000720170905202203074취소/말소/만료/정지/중지19사용중지20220307<NA><NA><NA><NA>50<NA>서울특별시 금천구 시흥동 113번지 16호서울특별시 금천구 시흥대로 287 (시흥동)8609(주)상신정비공업2022-03-24 09:50:53U2022-03-26 02:40:00.0<NA>190926.53337439650.132669서울특별시 금천구 시흥동 113번지 16호민간시설(주)상신정비공업20220307
11631700003170000-E20190000120190809<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>50<NA>서울특별시 금천구 시흥동 1020번지서울특별시 금천구 시흥대로73길 70 (시흥동, 금천구청종합청사)8611금천구청2019-08-12 17:46:40I2019-08-14 02:22:01.0<NA>190676.233229439411.341662서울특별시 금천구 시흥동 1020번지자치단체자체시설금천구청<NA>
11731700003170000-E2019000022019-08-09<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>57<NA>서울특별시 금천구 가산동 29번지 22호서울특별시 금천구 벚꽃로56길 72 (가산동)8509현대빌딩2024-01-31 08:09:09U2023-12-02 00:02:00.0<NA>189691.858979442354.304734<NA><NA><NA><NA>