Overview

Dataset statistics

Number of variables29
Number of observations114
Missing cells1027
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.7 KiB
Average record size in memory249.2 B

Variable types

Categorical8
Text6
DateTime2
Numeric7
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20005/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신일자 is highly imbalanced (57.8%)Imbalance
시설구분명 is highly imbalanced (59.7%)Imbalance
인허가취소일자 has 26 (22.8%) missing valuesMissing
폐업일자 has 26 (22.8%) missing valuesMissing
휴업시작일자 has 114 (100.0%) missing valuesMissing
휴업종료일자 has 114 (100.0%) missing valuesMissing
재개업일자 has 114 (100.0%) missing valuesMissing
전화번호 has 114 (100.0%) missing valuesMissing
소재지우편번호 has 114 (100.0%) missing valuesMissing
도로명주소 has 57 (50.0%) missing valuesMissing
도로명우편번호 has 67 (58.8%) missing valuesMissing
업태구분명 has 114 (100.0%) missing valuesMissing
좌표정보(X) has 65 (57.0%) missing valuesMissing
좌표정보(Y) has 65 (57.0%) missing valuesMissing
비상시설위치 has 5 (4.4%) missing valuesMissing
시설명_건물명 has 5 (4.4%) missing valuesMissing
해제일자 has 27 (23.7%) 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 8 (7.0%) zerosZeros

Reproduction

Analysis started2024-04-06 12:11:30.561885
Analysis finished2024-04-06 12:11:31.516716
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3030000
114 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 114
100.0%

Length

2024-04-06T21:11:31.740091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:31.913862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 114
100.0%

관리번호
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-06T21:11:32.182438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters2052
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

Unique114 ?
Unique (%)100.0%

Sample

1st row3030000-E198400002
2nd row3030000-E198400003
3rd row3030000-E198500001
4th row3030000-E198600001
5th row3030000-E198600002
ValueCountFrequency (%)
3030000-e198400002 1
 
0.9%
3030000-e201000002 1
 
0.9%
3030000-e200800001 1
 
0.9%
3030000-e200500024 1
 
0.9%
3030000-e200500023 1
 
0.9%
3030000-e200500022 1
 
0.9%
3030000-e200500021 1
 
0.9%
3030000-e200500020 1
 
0.9%
3030000-e200500019 1
 
0.9%
3030000-e200500016 1
 
0.9%
Other values (104) 104
91.2%
2024-04-06T21:11:32.784349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1147
55.9%
3 250
 
12.2%
2 119
 
5.8%
- 114
 
5.6%
E 114
 
5.6%
1 114
 
5.6%
9 72
 
3.5%
5 36
 
1.8%
4 28
 
1.4%
8 26
 
1.3%
Other values (2) 32
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1824
88.9%
Dash Punctuation 114
 
5.6%
Uppercase Letter 114
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1147
62.9%
3 250
 
13.7%
2 119
 
6.5%
1 114
 
6.2%
9 72
 
3.9%
5 36
 
2.0%
4 28
 
1.5%
8 26
 
1.4%
6 21
 
1.2%
7 11
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1938
94.4%
Latin 114
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1147
59.2%
3 250
 
12.9%
2 119
 
6.1%
- 114
 
5.9%
1 114
 
5.9%
9 72
 
3.7%
5 36
 
1.9%
4 28
 
1.4%
8 26
 
1.3%
6 21
 
1.1%
Latin
ValueCountFrequency (%)
E 114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2052
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1147
55.9%
3 250
 
12.2%
2 119
 
5.8%
- 114
 
5.6%
E 114
 
5.6%
1 114
 
5.6%
9 72
 
3.5%
5 36
 
1.8%
4 28
 
1.4%
8 26
 
1.3%
Other values (2) 32
 
1.6%

인허가일자
Date

Distinct56
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1984-01-03 00:00:00
Maximum2019-05-13 00:00:00
2024-04-06T21:11:33.058797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:11:33.379807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)37.5%
Missing26
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean20111219
Minimum20041119
Maximum20230109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T21:11:33.669312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041119
5-th percentile20053755
Q120060126
median20090720
Q320170117
95-th percentile20196999
Maximum20230109
Range188990
Interquartile range (IQR)109991

Descriptive statistics

Standard deviation51212.173
Coefficient of variation (CV)0.0025464479
Kurtosis-0.93170191
Mean20111219
Median Absolute Deviation (MAD)30596
Skewness0.57039344
Sum1.7697873 × 109
Variance2.6226867 × 109
MonotonicityNot monotonic
2024-04-06T21:11:33.965782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20060124 16
14.0%
20090112 9
 
7.9%
20170117 7
 
6.1%
20110427 6
 
5.3%
20070515 5
 
4.4%
20171229 5
 
4.4%
20090720 3
 
2.6%
20050325 3
 
2.6%
20220216 3
 
2.6%
20170721 3
 
2.6%
Other values (23) 28
24.6%
(Missing) 26
22.8%
ValueCountFrequency (%)
20041119 1
 
0.9%
20050225 1
 
0.9%
20050325 3
 
2.6%
20060124 16
14.0%
20060126 3
 
2.6%
20061027 1
 
0.9%
20070515 5
 
4.4%
20070529 1
 
0.9%
20080407 1
 
0.9%
20080428 2
 
1.8%
ValueCountFrequency (%)
20230109 1
 
0.9%
20220216 3
2.6%
20200706 1
 
0.9%
20190115 1
 
0.9%
20181228 1
 
0.9%
20180404 1
 
0.9%
20171229 5
4.4%
20170721 3
2.6%
20170117 7
6.1%
20160622 1
 
0.9%

영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
4
88 
1
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 88
77.2%
1 26
 
22.8%

Length

2024-04-06T21:11:34.233167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:34.455164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 88
77.2%
1 26
 
22.8%

영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
취소/말소/만료/정지/중지
88 
영업/정상
26 

Length

Max length14
Median length14
Mean length11.947368
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 88
77.2%
영업/정상 26
 
22.8%

Length

2024-04-06T21:11:34.640150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:34.821460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 88
77.2%
영업/정상 26
 
22.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
19
88 
18
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
19 88
77.2%
18 26
 
22.8%

Length

2024-04-06T21:11:35.033541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:35.226599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19 88
77.2%
18 26
 
22.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
사용중지
88 
사용중
26 

Length

Max length4
Median length4
Mean length3.7719298
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용중지 88
77.2%
사용중 26
 
22.8%

Length

2024-04-06T21:11:35.471863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:35.642912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용중지 88
77.2%
사용중 26
 
22.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)37.5%
Missing26
Missing (%)22.8%
Infinite0
Infinite (%)0.0%
Mean20111219
Minimum20041119
Maximum20230109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T21:11:35.837705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041119
5-th percentile20053755
Q120060126
median20090720
Q320170117
95-th percentile20196999
Maximum20230109
Range188990
Interquartile range (IQR)109991

Descriptive statistics

Standard deviation51212.173
Coefficient of variation (CV)0.0025464479
Kurtosis-0.93170191
Mean20111219
Median Absolute Deviation (MAD)30596
Skewness0.57039344
Sum1.7697873 × 109
Variance2.6226867 × 109
MonotonicityNot monotonic
2024-04-06T21:11:36.096555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20060124 16
14.0%
20090112 9
 
7.9%
20170117 7
 
6.1%
20110427 6
 
5.3%
20070515 5
 
4.4%
20171229 5
 
4.4%
20090720 3
 
2.6%
20050325 3
 
2.6%
20220216 3
 
2.6%
20170721 3
 
2.6%
Other values (23) 28
24.6%
(Missing) 26
22.8%
ValueCountFrequency (%)
20041119 1
 
0.9%
20050225 1
 
0.9%
20050325 3
 
2.6%
20060124 16
14.0%
20060126 3
 
2.6%
20061027 1
 
0.9%
20070515 5
 
4.4%
20070529 1
 
0.9%
20080407 1
 
0.9%
20080428 2
 
1.8%
ValueCountFrequency (%)
20230109 1
 
0.9%
20220216 3
2.6%
20200706 1
 
0.9%
20190115 1
 
0.9%
20181228 1
 
0.9%
20180404 1
 
0.9%
20171229 5
4.4%
20170721 3
2.6%
20170117 7
6.1%
20160622 1
 
0.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

소재지면적
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.64886
Minimum0
Maximum28360
Zeros8
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T21:11:36.367017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median61
Q390
95-th percentile300
Maximum28360
Range28360
Interquartile range (IQR)60

Descriptive statistics

Standard deviation2658.5098
Coefficient of variation (CV)7.6033706
Kurtosis111.92535
Mean349.64886
Median Absolute Deviation (MAD)31
Skewness10.539521
Sum39859.97
Variance7067674.6
MonotonicityNot monotonic
2024-04-06T21:11:36.585431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
30.0 18
 
15.8%
72.0 8
 
7.0%
90.0 8
 
7.0%
0.0 8
 
7.0%
50.0 6
 
5.3%
100.0 5
 
4.4%
40.0 5
 
4.4%
3.0 4
 
3.5%
60.0 3
 
2.6%
70.0 3
 
2.6%
Other values (35) 46
40.4%
ValueCountFrequency (%)
0.0 8
7.0%
1.23 1
 
0.9%
2.0 1
 
0.9%
2.74 1
 
0.9%
3.0 4
 
3.5%
4.0 2
 
1.8%
30.0 18
15.8%
36.0 1
 
0.9%
40.0 5
 
4.4%
41.0 1
 
0.9%
ValueCountFrequency (%)
28360.0 1
 
0.9%
2600.0 1
 
0.9%
500.0 1
 
0.9%
400.0 1
 
0.9%
380.0 1
 
0.9%
300.0 2
1.8%
250.0 3
2.6%
230.0 1
 
0.9%
216.0 2
1.8%
210.0 1
 
0.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

지번주소
Text

Distinct104
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-06T21:11:37.144156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length25.087719
Min length19

Characters and Unicode

Total characters2860
Distinct characters68
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

Unique96 ?
Unique (%)84.2%

Sample

1st row서울특별시 성동구 성수동2가 299번지 198호
2nd row서울특별시 성동구 성수동2가 299번지 198호
3rd row서울특별시 성동구 행당동 298번지 1호
4th row서울특별시 성동구 마장동 474번지 25 호
5th row서울특별시 성동구 마장동 509번지 4 호
ValueCountFrequency (%)
서울특별시 114
19.1%
성동구 114
19.1%
호 37
 
6.2%
성수동2가 25
 
4.2%
행당동 16
 
2.7%
성수동1가 15
 
2.5%
마장동 14
 
2.3%
옥수동 8
 
1.3%
1호 8
 
1.3%
1 7
 
1.2%
Other values (149) 238
39.9%
2024-04-06T21:11:38.130530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
626
21.9%
동 228
 
8.0%
성 155
 
5.4%
1 132
 
4.6%
울 114
 
4.0%
구 114
 
4.0%
서 114
 
4.0%
시 114
 
4.0%
별 114
 
4.0%
특 114
 
4.0%
Other values (58) 1035
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1661
58.1%
Space Separator 626
 
21.9%
Decimal Number 567
 
19.8%
Dash Punctuation 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 228
13.7%
성 155
9.3%
울 114
 
6.9%
구 114
 
6.9%
서 114
 
6.9%
시 114
 
6.9%
별 114
 
6.9%
특 114
 
6.9%
번 109
 
6.6%
지 109
 
6.6%
Other values (44) 376
22.6%
Decimal Number
ValueCountFrequency (%)
1 132
23.3%
2 107
18.9%
3 64
11.3%
5 55
9.7%
8 41
 
7.2%
6 40
 
7.1%
7 37
 
6.5%
0 36
 
6.3%
9 36
 
6.3%
4 19
 
3.4%
Space Separator
ValueCountFrequency (%)
626
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1661
58.1%
Common 1199
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 228
13.7%
성 155
9.3%
울 114
 
6.9%
구 114
 
6.9%
서 114
 
6.9%
시 114
 
6.9%
별 114
 
6.9%
특 114
 
6.9%
번 109
 
6.6%
지 109
 
6.6%
Other values (44) 376
22.6%
Common
ValueCountFrequency (%)
626
52.2%
1 132
 
11.0%
2 107
 
8.9%
3 64
 
5.3%
5 55
 
4.6%
8 41
 
3.4%
6 40
 
3.3%
7 37
 
3.1%
0 36
 
3.0%
9 36
 
3.0%
Other values (4) 25
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1661
58.1%
ASCII 1199
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
626
52.2%
1 132
 
11.0%
2 107
 
8.9%
3 64
 
5.3%
5 55
 
4.6%
8 41
 
3.4%
6 40
 
3.3%
7 37
 
3.1%
0 36
 
3.0%
9 36
 
3.0%
Other values (4) 25
 
2.1%
Hangul
ValueCountFrequency (%)
동 228
13.7%
성 155
9.3%
울 114
 
6.9%
구 114
 
6.9%
서 114
 
6.9%
시 114
 
6.9%
별 114
 
6.9%
특 114
 
6.9%
번 109
 
6.6%
지 109
 
6.6%
Other values (44) 376
22.6%

도로명주소
Text

MISSING 

Distinct51
Distinct (%)89.5%
Missing57
Missing (%)50.0%
Memory size1.0 KiB
2024-04-06T21:11:38.627610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length29.824561
Min length21

Characters and Unicode

Total characters1700
Distinct characters138
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

Unique47 ?
Unique (%)82.5%

Sample

1st row서울특별시 성동구 성수일로12길 27 (성수동2가, (주)창미)
2nd row서울특별시 성동구 성수일로12길 27 (성수동2가, (주)창미)
3rd row서울특별시 성동구 무학봉18길 12 (행당동)
4th row서울특별시 성동구 무학봉18길 12 (행당동)
5th row서울특별시 성동구 고산자로 300 (마장동, 동방빌딩)
ValueCountFrequency (%)
서울특별시 57
 
17.9%
성동구 57
 
17.9%
성수동2가 20
 
6.3%
행당동 8
 
2.5%
6 6
 
1.9%
옥수동 5
 
1.6%
아차산로13길 4
 
1.3%
연무장7길 4
 
1.3%
16 4
 
1.3%
성수동1가 4
 
1.3%
Other values (117) 150
47.0%
2024-04-06T21:11:39.457426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
15.4%
동 119
 
7.0%
성 96
 
5.6%
서 67
 
3.9%
) 60
 
3.5%
( 60
 
3.5%
울 58
 
3.4%
특 57
 
3.4%
별 57
 
3.4%
시 57
 
3.4%
Other values (128) 807
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1064
62.6%
Space Separator 262
 
15.4%
Decimal Number 210
 
12.4%
Close Punctuation 60
 
3.5%
Open Punctuation 60
 
3.5%
Other Punctuation 33
 
1.9%
Dash Punctuation 6
 
0.4%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 119
 
11.2%
성 96
 
9.0%
서 67
 
6.3%
울 58
 
5.5%
특 57
 
5.4%
별 57
 
5.4%
시 57
 
5.4%
구 57
 
5.4%
로 39
 
3.7%
길 39
 
3.7%
Other values (108) 418
39.3%
Decimal Number
ValueCountFrequency (%)
1 52
24.8%
2 49
23.3%
3 23
11.0%
6 21
10.0%
7 18
 
8.6%
4 14
 
6.7%
5 11
 
5.2%
8 8
 
3.8%
0 8
 
3.8%
9 6
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
N 1
20.0%
B 1
20.0%
C 1
20.0%
S 1
20.0%
Space Separator
ValueCountFrequency (%)
262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1064
62.6%
Common 631
37.1%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 119
 
11.2%
성 96
 
9.0%
서 67
 
6.3%
울 58
 
5.5%
특 57
 
5.4%
별 57
 
5.4%
시 57
 
5.4%
구 57
 
5.4%
로 39
 
3.7%
길 39
 
3.7%
Other values (108) 418
39.3%
Common
ValueCountFrequency (%)
262
41.5%
) 60
 
9.5%
( 60
 
9.5%
1 52
 
8.2%
2 49
 
7.8%
, 33
 
5.2%
3 23
 
3.6%
6 21
 
3.3%
7 18
 
2.9%
4 14
 
2.2%
Other values (5) 39
 
6.2%
Latin
ValueCountFrequency (%)
K 1
20.0%
N 1
20.0%
B 1
20.0%
C 1
20.0%
S 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1064
62.6%
ASCII 636
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
41.2%
) 60
 
9.4%
( 60
 
9.4%
1 52
 
8.2%
2 49
 
7.7%
, 33
 
5.2%
3 23
 
3.6%
6 21
 
3.3%
7 18
 
2.8%
4 14
 
2.2%
Other values (10) 44
 
6.9%
Hangul
ValueCountFrequency (%)
동 119
 
11.2%
성 96
 
9.0%
서 67
 
6.3%
울 58
 
5.5%
특 57
 
5.4%
별 57
 
5.4%
시 57
 
5.4%
구 57
 
5.4%
로 39
 
3.7%
길 39
 
3.7%
Other values (108) 418
39.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)66.0%
Missing67
Missing (%)58.8%
Infinite0
Infinite (%)0.0%
Mean15675.851
Minimum4700
Maximum133040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T21:11:39.703393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4714
Q14735.5
median4778
Q34791.5
95-th percentile133030
Maximum133040
Range128340
Interquartile range (IQR)56

Descriptive statistics

Standard deviation36181.193
Coefficient of variation (CV)2.3080848
Kurtosis7.7703871
Mean15675.851
Median Absolute Deviation (MAD)28
Skewness3.0726647
Sum736765
Variance1.3090787 × 109
MonotonicityNot monotonic
2024-04-06T21:11:39.965474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4782 5
 
4.4%
4798 4
 
3.5%
4714 4
 
3.5%
4750 2
 
1.8%
4737 2
 
1.8%
133030 2
 
1.8%
133040 2
 
1.8%
4792 2
 
1.8%
4735 2
 
1.8%
4800 1
 
0.9%
Other values (21) 21
 
18.4%
(Missing) 67
58.8%
ValueCountFrequency (%)
4700 1
 
0.9%
4704 1
 
0.9%
4714 4
3.5%
4719 1
 
0.9%
4721 1
 
0.9%
4724 1
 
0.9%
4734 1
 
0.9%
4735 2
1.8%
4736 1
 
0.9%
4737 2
1.8%
ValueCountFrequency (%)
133040 2
1.8%
133030 2
1.8%
4800 1
 
0.9%
4798 4
3.5%
4794 1
 
0.9%
4792 2
1.8%
4791 1
 
0.9%
4790 1
 
0.9%
4785 1
 
0.9%
4784 1
 
0.9%

사업장명
Text

Distinct109
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-04-06T21:11:40.333887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length17
Mean length7.3070175
Min length2

Characters and Unicode

Total characters833
Distinct characters196
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

Unique106 ?
Unique (%)93.0%

Sample

1st row(주)창미
2nd row창미
3rd row만나식당
4th row일석정
5th row경원빌딩
ValueCountFrequency (%)
민간시설 16
 
11.3%
대성식품 3
 
2.1%
현대사우나 3
 
2.1%
공공시설 3
 
2.1%
대합빌딩 2
 
1.4%
앞 1
 
0.7%
제일산업 1
 
0.7%
민간산업 1
 
0.7%
삼산아파트관리실 1
 
0.7%
명문예식장 1
 
0.7%
Other values (110) 110
77.5%
2024-04-06T21:11:41.389225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 35
 
4.2%
( 35
 
4.2%
시 30
 
3.6%
28
 
3.4%
설 24
 
2.9%
간 20
 
2.4%
민 20
 
2.4%
대 19
 
2.3%
사 18
 
2.2%
수 16
 
1.9%
Other values (186) 588
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 713
85.6%
Close Punctuation 35
 
4.2%
Open Punctuation 35
 
4.2%
Space Separator 28
 
3.4%
Decimal Number 16
 
1.9%
Uppercase Letter 4
 
0.5%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
 
4.2%
설 24
 
3.4%
간 20
 
2.8%
민 20
 
2.8%
대 19
 
2.7%
사 18
 
2.5%
수 16
 
2.2%
빌 15
 
2.1%
성 15
 
2.1%
원 14
 
2.0%
Other values (170) 522
73.2%
Decimal Number
ValueCountFrequency (%)
8 5
31.2%
2 4
25.0%
1 2
 
12.5%
6 2
 
12.5%
7 1
 
6.2%
0 1
 
6.2%
4 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
C 1
25.0%
N 1
25.0%
K 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 713
85.6%
Common 116
 
13.9%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
 
4.2%
설 24
 
3.4%
간 20
 
2.8%
민 20
 
2.8%
대 19
 
2.7%
사 18
 
2.5%
수 16
 
2.2%
빌 15
 
2.1%
성 15
 
2.1%
원 14
 
2.0%
Other values (170) 522
73.2%
Common
ValueCountFrequency (%)
) 35
30.2%
( 35
30.2%
28
24.1%
8 5
 
4.3%
2 4
 
3.4%
1 2
 
1.7%
6 2
 
1.7%
7 1
 
0.9%
- 1
 
0.9%
0 1
 
0.9%
Other values (2) 2
 
1.7%
Latin
ValueCountFrequency (%)
B 1
25.0%
C 1
25.0%
N 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 713
85.6%
ASCII 120
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 35
29.2%
( 35
29.2%
28
23.3%
8 5
 
4.2%
2 4
 
3.3%
1 2
 
1.7%
6 2
 
1.7%
B 1
 
0.8%
C 1
 
0.8%
N 1
 
0.8%
Other values (6) 6
 
5.0%
Hangul
ValueCountFrequency (%)
시 30
 
4.2%
설 24
 
3.4%
간 20
 
2.8%
민 20
 
2.8%
대 19
 
2.7%
사 18
 
2.5%
수 16
 
2.2%
빌 15
 
2.1%
성 15
 
2.1%
원 14
 
2.0%
Other values (170) 522
73.2%

최종수정일자
Date

Distinct92
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2005-06-18 00:00:00
Maximum2023-05-31 09:51:53
2024-04-06T21:11:41.641753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:11:41.879726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
82 
U
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 82
71.9%
U 32
 
28.1%

Length

2024-04-06T21:11:42.136243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:42.311984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
71.9%
u 32
 
28.1%

데이터갱신일자
Categorical

IMBALANCE 

Distinct11
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2018-08-31 23:59:59.0
81 
2021-11-11 02:40:00.0
21 
2022-02-18 02:40:00.0
 
3
2022-12-06 00:02:00.0
 
2
2018-12-30 02:40:00.0
 
1
Other values (6)
 
6

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique7 ?
Unique (%)6.1%

Sample

1st row2021-11-11 02:40:00.0
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 81
71.1%
2021-11-11 02:40:00.0 21
 
18.4%
2022-02-18 02:40:00.0 3
 
2.6%
2022-12-06 00:02:00.0 2
 
1.8%
2018-12-30 02:40:00.0 1
 
0.9%
2020-07-10 02:40:00.0 1
 
0.9%
2022-11-30 23:01:00.0 1
 
0.9%
2021-10-31 23:06:00.0 1
 
0.9%
2019-01-20 02:40:00.0 1
 
0.9%
2022-12-01 23:02:00.0 1
 
0.9%

Length

2024-04-06T21:11:42.523470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 81
35.5%
23:59:59.0 81
35.5%
02:40:00.0 27
 
11.8%
2021-11-11 21
 
9.2%
2022-02-18 3
 
1.3%
2022-12-06 2
 
0.9%
00:02:00.0 2
 
0.9%
23:06:00.0 1
 
0.4%
2022-02-19 1
 
0.4%
23:02:00.0 1
 
0.4%
Other values (8) 8
 
3.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)85.7%
Missing65
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean203442.3
Minimum200841.7
Maximum206209.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T21:11:42.781942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200841.7
5-th percentile201255.18
Q1202605.06
median203209.46
Q3204740.59
95-th percentile205305.92
Maximum206209.28
Range5367.5803
Interquartile range (IQR)2135.5314

Descriptive statistics

Standard deviation1396.1716
Coefficient of variation (CV)0.0068627397
Kurtosis-1.0563955
Mean203442.3
Median Absolute Deviation (MAD)1285.1698
Skewness-0.088712476
Sum9968672.9
Variance1949295.1
MonotonicityNot monotonic
2024-04-06T21:11:43.072991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
205305.922411917 3
 
2.6%
204803.812658215 3
 
2.6%
202789.418353182 2
 
1.8%
204740.58762421 2
 
1.8%
204738.697773758 2
 
1.8%
204392.856124013 1
 
0.9%
202855.738898154 1
 
0.9%
204473.5647668 1
 
0.9%
204699.605665077 1
 
0.9%
205103.352929015 1
 
0.9%
Other values (32) 32
28.1%
(Missing) 65
57.0%
ValueCountFrequency (%)
200841.700552929 1
0.9%
201082.048256583 1
0.9%
201222.07429303 1
0.9%
201304.840917214 1
0.9%
201343.627710522 1
0.9%
201462.251313062 1
0.9%
201540.816056093 1
0.9%
201858.475814708 1
0.9%
201924.287403479 1
0.9%
202051.267073893 1
0.9%
ValueCountFrequency (%)
206209.280864162 1
 
0.9%
205354.652699062 1
 
0.9%
205305.922411917 3
2.6%
205103.352929015 1
 
0.9%
204980.62859022 1
 
0.9%
204975.255978318 1
 
0.9%
204803.812658215 3
2.6%
204740.58762421 2
1.8%
204738.697773758 2
1.8%
204699.605665077 1
 
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)85.7%
Missing65
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean449919.69
Minimum448698.91
Maximum451903.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T21:11:43.336728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448698.91
5-th percentile448750.04
Q1449046.69
median449551.61
Q3450964.57
95-th percentile451634.12
Maximum451903.98
Range3205.0723
Interquartile range (IQR)1917.8814

Descriptive statistics

Standard deviation1039.7032
Coefficient of variation (CV)0.0023108639
Kurtosis-1.220873
Mean449919.69
Median Absolute Deviation (MAD)727.36804
Skewness0.53408343
Sum22046065
Variance1080982.7
MonotonicityNot monotonic
2024-04-06T21:11:43.588178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
449046.689333846 3
 
2.6%
449077.928763942 3
 
2.6%
450964.570694566 2
 
1.8%
448959.957098177 2
 
1.8%
449551.6143291 2
 
1.8%
449850.388293108 1
 
0.9%
451903.982596003 1
 
0.9%
448698.910323731 1
 
0.9%
448743.634999329 1
 
0.9%
448759.035203931 1
 
0.9%
Other values (32) 32
28.1%
(Missing) 65
57.0%
ValueCountFrequency (%)
448698.910323731 1
0.9%
448743.634999329 1
0.9%
448744.038108098 1
0.9%
448759.035203931 1
0.9%
448765.977811344 1
0.9%
448803.641454739 1
0.9%
448824.24629103 1
0.9%
448836.056792958 1
0.9%
448955.72094726 1
0.9%
448959.957098177 2
1.8%
ValueCountFrequency (%)
451903.982596003 1
0.9%
451749.475560094 1
0.9%
451687.890552805 1
0.9%
451553.461590274 1
0.9%
451542.747433692 1
0.9%
451498.257192339 1
0.9%
451492.933441308 1
0.9%
451354.723266158 1
0.9%
451282.191969066 1
0.9%
451046.51453698 1
0.9%

비상시설위치
Text

MISSING 

Distinct99
Distinct (%)90.8%
Missing5
Missing (%)4.4%
Memory size1.0 KiB
2024-04-06T21:11:44.227709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length25.100917
Min length19

Characters and Unicode

Total characters2736
Distinct characters64
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)83.5%

Sample

1st row서울특별시 성동구 성수동2가 299번지 198호
2nd row서울특별시 성동구 성수동2가 299번지 198호
3rd row서울특별시 성동구 행당동 298번지 1호
4th row서울특별시 성동구 마장동 474번지 25 호
5th row서울특별시 성동구 마장동 509번지 4 호
ValueCountFrequency (%)
서울특별시 109
19.1%
성동구 109
19.1%
호 37
 
6.5%
성수동2가 25
 
4.4%
행당동 16
 
2.8%
성수동1가 15
 
2.6%
마장동 13
 
2.3%
옥수동 8
 
1.4%
도선동 7
 
1.2%
1 7
 
1.2%
Other values (144) 225
39.4%
2024-04-06T21:11:45.148474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
606
22.1%
동 218
 
8.0%
성 150
 
5.5%
1 123
 
4.5%
서 109
 
4.0%
특 109
 
4.0%
별 109
 
4.0%
시 109
 
4.0%
구 109
 
4.0%
울 109
 
4.0%
Other values (54) 985
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1584
57.9%
Space Separator 606
 
22.1%
Decimal Number 543
 
19.8%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 218
13.8%
성 150
9.5%
서 109
 
6.9%
특 109
 
6.9%
별 109
 
6.9%
시 109
 
6.9%
구 109
 
6.9%
울 109
 
6.9%
번 105
 
6.6%
지 105
 
6.6%
Other values (42) 352
22.2%
Decimal Number
ValueCountFrequency (%)
1 123
22.7%
2 107
19.7%
3 61
11.2%
5 52
9.6%
6 40
 
7.4%
8 38
 
7.0%
9 36
 
6.6%
7 35
 
6.4%
0 35
 
6.4%
4 16
 
2.9%
Space Separator
ValueCountFrequency (%)
606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1584
57.9%
Common 1152
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 218
13.8%
성 150
9.5%
서 109
 
6.9%
특 109
 
6.9%
별 109
 
6.9%
시 109
 
6.9%
구 109
 
6.9%
울 109
 
6.9%
번 105
 
6.6%
지 105
 
6.6%
Other values (42) 352
22.2%
Common
ValueCountFrequency (%)
606
52.6%
1 123
 
10.7%
2 107
 
9.3%
3 61
 
5.3%
5 52
 
4.5%
6 40
 
3.5%
8 38
 
3.3%
9 36
 
3.1%
7 35
 
3.0%
0 35
 
3.0%
Other values (2) 19
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1584
57.9%
ASCII 1152
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
606
52.6%
1 123
 
10.7%
2 107
 
9.3%
3 61
 
5.3%
5 52
 
4.5%
6 40
 
3.5%
8 38
 
3.3%
9 36
 
3.1%
7 35
 
3.0%
0 35
 
3.0%
Other values (2) 19
 
1.6%
Hangul
ValueCountFrequency (%)
동 218
13.8%
성 150
9.5%
서 109
 
6.9%
특 109
 
6.9%
별 109
 
6.9%
시 109
 
6.9%
구 109
 
6.9%
울 109
 
6.9%
번 105
 
6.6%
지 105
 
6.6%
Other values (42) 352
22.2%

시설구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
민간시설
95 
공공시설
 
9
<NA>
 
5
정부지원시설
 
4
자치단체자체시설
 
1

Length

Max length8
Median length4
Mean length4.1052632
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
민간시설 95
83.3%
공공시설 9
 
7.9%
<NA> 5
 
4.4%
정부지원시설 4
 
3.5%
자치단체자체시설 1
 
0.9%

Length

2024-04-06T21:11:45.520714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:11:45.853295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간시설 95
83.3%
공공시설 9
 
7.9%
na 5
 
4.4%
정부지원시설 4
 
3.5%
자치단체자체시설 1
 
0.9%

시설명_건물명
Text

MISSING 

Distinct104
Distinct (%)95.4%
Missing5
Missing (%)4.4%
Memory size1.0 KiB
2024-04-06T21:11:46.264072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length17
Mean length7.3761468
Min length2

Characters and Unicode

Total characters804
Distinct characters196
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

Unique101 ?
Unique (%)92.7%

Sample

1st row(주)창미
2nd row창미
3rd row만나식당
4th row일석정
5th row경원빌딩
ValueCountFrequency (%)
민간시설 16
 
11.7%
현대사우나 3
 
2.2%
대성식품 3
 
2.2%
공공시설 3
 
2.2%
대합빌딩 2
 
1.5%
제일산업 1
 
0.7%
동해탕 1
 
0.7%
홍익기사식당 1
 
0.7%
여주식당 1
 
0.7%
대동장여관 1
 
0.7%
Other values (105) 105
76.6%
2024-04-06T21:11:46.882601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 34
 
4.2%
) 34
 
4.2%
시 30
 
3.7%
28
 
3.5%
설 24
 
3.0%
민 20
 
2.5%
간 20
 
2.5%
대 18
 
2.2%
사 18
 
2.2%
수 15
 
1.9%
Other values (186) 563
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 686
85.3%
Open Punctuation 34
 
4.2%
Close Punctuation 34
 
4.2%
Space Separator 28
 
3.5%
Decimal Number 16
 
2.0%
Uppercase Letter 4
 
0.5%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
 
4.4%
설 24
 
3.5%
민 20
 
2.9%
간 20
 
2.9%
대 18
 
2.6%
사 18
 
2.6%
수 15
 
2.2%
성 14
 
2.0%
원 14
 
2.0%
빌 14
 
2.0%
Other values (170) 499
72.7%
Decimal Number
ValueCountFrequency (%)
8 5
31.2%
2 4
25.0%
1 2
 
12.5%
6 2
 
12.5%
7 1
 
6.2%
4 1
 
6.2%
0 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
N 1
25.0%
B 1
25.0%
K 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 686
85.3%
Common 114
 
14.2%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
 
4.4%
설 24
 
3.5%
민 20
 
2.9%
간 20
 
2.9%
대 18
 
2.6%
사 18
 
2.6%
수 15
 
2.2%
성 14
 
2.0%
원 14
 
2.0%
빌 14
 
2.0%
Other values (170) 499
72.7%
Common
ValueCountFrequency (%)
( 34
29.8%
) 34
29.8%
28
24.6%
8 5
 
4.4%
2 4
 
3.5%
1 2
 
1.8%
6 2
 
1.8%
/ 1
 
0.9%
7 1
 
0.9%
- 1
 
0.9%
Other values (2) 2
 
1.8%
Latin
ValueCountFrequency (%)
C 1
25.0%
N 1
25.0%
B 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 686
85.3%
ASCII 118
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 34
28.8%
) 34
28.8%
28
23.7%
8 5
 
4.2%
2 4
 
3.4%
1 2
 
1.7%
6 2
 
1.7%
C 1
 
0.8%
N 1
 
0.8%
B 1
 
0.8%
Other values (6) 6
 
5.1%
Hangul
ValueCountFrequency (%)
시 30
 
4.4%
설 24
 
3.5%
민 20
 
2.9%
간 20
 
2.9%
대 18
 
2.6%
사 18
 
2.6%
수 15
 
2.2%
성 14
 
2.0%
원 14
 
2.0%
빌 14
 
2.0%
Other values (170) 499
72.7%

해제일자
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)36.8%
Missing27
Missing (%)23.7%
Infinite0
Infinite (%)0.0%
Mean20109853
Minimum20041119
Maximum20220216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-06T21:11:47.115896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041119
5-th percentile20053265
Q120060126
median20090720
Q320165370
95-th percentile20187449
Maximum20220216
Range179097
Interquartile range (IQR)105243.5

Descriptive statistics

Standard deviation49869.192
Coefficient of variation (CV)0.0024798387
Kurtosis-1.0036785
Mean20109853
Median Absolute Deviation (MAD)30596
Skewness0.54797746
Sum1.7495572 × 109
Variance2.4869363 × 109
MonotonicityNot monotonic
2024-04-06T21:11:47.396140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20060124 16
14.0%
20090112 9
 
7.9%
20170117 7
 
6.1%
20110427 6
 
5.3%
20070515 5
 
4.4%
20171229 5
 
4.4%
20060126 3
 
2.6%
20090720 3
 
2.6%
20170721 3
 
2.6%
20220216 3
 
2.6%
Other values (22) 27
23.7%
(Missing) 27
23.7%
ValueCountFrequency (%)
20041119 1
 
0.9%
20050225 1
 
0.9%
20050325 3
 
2.6%
20060124 16
14.0%
20060126 3
 
2.6%
20061027 1
 
0.9%
20070515 5
 
4.4%
20070529 1
 
0.9%
20080407 1
 
0.9%
20080428 2
 
1.8%
ValueCountFrequency (%)
20220216 3
2.6%
20200706 1
 
0.9%
20190115 1
 
0.9%
20181228 1
 
0.9%
20180404 1
 
0.9%
20171229 5
4.4%
20170721 3
2.6%
20170117 7
6.1%
20160622 1
 
0.9%
20160616 1
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
030300003030000-E19840000219840103<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100.0<NA>서울특별시 성동구 성수동2가 299번지 198호서울특별시 성동구 성수일로12길 27 (성수동2가, (주)창미)4792(주)창미2021-11-09 10:04:51U2021-11-11 02:40:00.0<NA>204738.697774449551.614329서울특별시 성동구 성수동2가 299번지 198호민간시설(주)창미<NA>
130300003030000-E19840000319840103201701174취소/말소/만료/정지/중지19사용중지20170117<NA><NA><NA><NA>4.0<NA>서울특별시 성동구 성수동2가 299번지 198호서울특별시 성동구 성수일로12길 27 (성수동2가, (주)창미)4792창미2017-01-17 14:58:41I2018-08-31 23:59:59.0<NA>204738.697774449551.614329서울특별시 성동구 성수동2가 299번지 198호민간시설창미20170117
230300003030000-E19850000119850103201707214취소/말소/만료/정지/중지19사용중지20170721<NA><NA><NA><NA>30.0<NA>서울특별시 성동구 행당동 298번지 1호서울특별시 성동구 무학봉18길 12 (행당동)4714만나식당2017-07-21 10:27:36I2018-08-31 23:59:59.0<NA>202789.418353450964.570695서울특별시 성동구 행당동 298번지 1호민간시설만나식당20170721
330300003030000-E19860000119860103200601244취소/말소/만료/정지/중지19사용중지20060124<NA><NA><NA><NA>30.0<NA>서울특별시 성동구 마장동 474번지 25 호<NA><NA>일석정2006-05-08 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성동구 마장동 474번지 25 호민간시설일석정20060124
430300003030000-E19860000219860103200601244취소/말소/만료/정지/중지19사용중지20060124<NA><NA><NA><NA>36.0<NA>서울특별시 성동구 마장동 509번지 4 호<NA><NA>경원빌딩2006-05-08 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성동구 마장동 509번지 4 호민간시설경원빌딩20060124
530300003030000-E19860000319860103201707214취소/말소/만료/정지/중지19사용중지20170721<NA><NA><NA><NA>30.0<NA>서울특별시 성동구 행당동 298번지 1호서울특별시 성동구 무학봉18길 12 (행당동)4714광명정육점2017-07-21 10:28:14I2018-08-31 23:59:59.0<NA>202789.418353450964.570695서울특별시 성동구 행당동 298번지 1호민간시설광명정육점20170721
630300003030000-E19880000119880103200601244취소/말소/만료/정지/중지19사용중지20060124<NA><NA><NA><NA>72.0<NA>서울특별시 성동구 마장동 522번지 2 호<NA><NA>영지상가2006-05-08 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성동구 마장동 522번지 2 호민간시설영지상가20060124
730300003030000-E19880000219880103200705154취소/말소/만료/정지/중지19사용중지20070515<NA><NA><NA><NA>90.0<NA>서울특별시 성동구 마장동 509번지 5 호<NA><NA>대합빌딩2007-05-15 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성동구 마장동 509번지 5 호민간시설대합빌딩20070515
830300003030000-E19880000319880103<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>110.0<NA>서울특별시 성동구 마장동 517번지서울특별시 성동구 고산자로 300 (마장동, 동방빌딩)4749동방빌딩2021-11-09 10:16:31U2021-11-11 02:40:00.0<NA>203209.457162451553.46159서울특별시 성동구 마장동 517번지민간시설동방빌딩<NA>
930300003030000-E19890000219890103200601244취소/말소/만료/정지/중지19사용중지20060124<NA><NA><NA><NA>80.0<NA>서울특별시 성동구 마장동 521번지 1 호<NA><NA>호성빌딩2006-05-08 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA>서울특별시 성동구 마장동 521번지 1 호민간시설호성빌딩20060124
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)비상시설위치시설구분명시설명_건물명해제일자
10430300003030000-E20160000820161223201701174취소/말소/만료/정지/중지19사용중지20170117<NA><NA><NA><NA>2.0<NA>서울특별시 성동구 성수동2가 277번지 101호서울특별시 성동구 아차산로13길 16 (성수동2가, 성수동램킨중흥S클래스오피스텔)4798대성식품2017-01-17 15:06:10I2018-08-31 23:59:59.0<NA>205354.652699449156.668926서울특별시 성동구 성수동2가 277번지 101호민간시설대성식품20170117
10530300003030000-E20160000920161223201701174취소/말소/만료/정지/중지19사용중지20170117<NA><NA><NA><NA>3.0<NA>서울특별시 성동구 성수동2가 277번지 60호서울특별시 성동구 아차산로13길 6 (성수동2가, 대성식품)4798대성식품2017-01-17 15:06:49I2018-08-31 23:59:59.0<NA>205305.922412449046.689334서울특별시 성동구 성수동2가 277번지 60호민간시설대성식품20170117
10630300003030000-E20170000120171012<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>100.0<NA>서울특별시 성동구 성수동1가 685번지 715호서울특별시 성동구 뚝섬로 273 (성수동1가, 서울숲공원)4770서울숲공원2021-11-09 11:17:35U2021-11-11 02:40:00.0<NA>203443.221861448803.641455서울특별시 성동구 성수동1가 685번지 715호정부지원시설서울숲공원<NA>
10730300003030000-E20180000120180122<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2600.0<NA>서울특별시 성동구 금호동1가 1번지 72호서울특별시 성동구 금호로 172-1 (금호동1가)4721대현산 배수지2021-11-09 13:15:04U2021-11-11 02:40:00.0<NA>201858.475815450519.333778서울특별시 성동구 금호동1가 1번지 72호정부지원시설대현산 배수지<NA>
10830300003030000-E20180000220180622<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>70.0<NA>서울특별시 성동구 성수동2가 289번지 321호서울특별시 성동구 성수이로 117 (성수동2가)4794(주)대한진공2021-11-09 10:59:25U2021-11-11 02:40:00.0<NA>204980.62859449254.852502서울특별시 성동구 성수동2가 289번지 321호민간시설(주)대한진공<NA>
10930300003030000-E20190000120190118<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>90.0<NA>서울특별시 성동구 행당동 320번지 60호 행당초등학교서울특별시 성동구 고산자로8길 6, 행당초등학교 (행당동)4746행당초등학교2021-11-09 10:57:06U2021-11-11 02:40:00.0<NA>202991.77514450491.273962서울특별시 성동구 행당동 320번지 60호 행당초등학교민간시설행당초등학교<NA>
11030300003030000-E20190000220190118<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>56.0<NA>서울특별시 성동구 상왕십리동 814번지 천리교 혜성교회서울특별시 성동구 마장로 125, 천리교 혜성교회 (상왕십리동)4700천리교혜성교회2021-11-09 10:54:57U2021-11-11 02:40:00.0<NA>202051.267074451749.47556서울특별시 성동구 상왕십리동 814번지 천리교 혜성교회민간시설천리교혜성교회<NA>
11130300003030000-E20190000420190325<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>61.0<NA>서울특별시 성동구 행당동 317번지 132호 혜원빌라서울특별시 성동구 행당로11길 3-6 (행당동, 혜원빌라)4714혜원빌라2021-11-09 10:51:58U2021-11-11 02:40:00.0<NA>202613.646469450652.101305서울특별시 성동구 행당동 317번지 132호 혜원빌라민간시설혜원빌라<NA>
11230300003030000-E2019000052019-05-13<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>1.23<NA>서울특별시 성동구 금호동1가 산 37-1 금봉유아원(1호)서울특별시 성동구 독서당로57가길 24, 금봉유아원(1호) (금호동1가)4719응봉배수지2023-02-10 13:27:23U2022-12-01 23:02:00.0<NA>202436.924613450096.819294<NA><NA><NA><NA>
11330300003030000-E20190000620190513<NA>1영업/정상18사용중<NA><NA><NA><NA><NA>2.74<NA>서울특별시 성동구 금호동3가 산 1<NA><NA>금호배수지2022-02-17 16:59:30I2022-02-19 00:22:37.0<NA>201343.627711450013.79529서울특별시 성동구 금호동3가 산 1공공시설금호배수지<NA>