Overview

Dataset statistics

Number of variables29
Number of observations28
Missing cells343
Missing cells (%)42.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory252.7 B

Variable types

Categorical6
Text4
DateTime6
Unsupported9
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),보유자격증명,국비지원여부,담당직원내용,삭제일자
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16154/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업종료일자 has constant value ""Constant
재개업일자 has constant value ""Constant
인허가취소일자 has 28 (100.0%) missing valuesMissing
폐업일자 has 24 (85.7%) missing valuesMissing
휴업시작일자 has 28 (100.0%) missing valuesMissing
휴업종료일자 has 27 (96.4%) missing valuesMissing
재개업일자 has 27 (96.4%) missing valuesMissing
전화번호 has 9 (32.1%) missing valuesMissing
소재지면적 has 28 (100.0%) missing valuesMissing
소재지우편번호 has 28 (100.0%) missing valuesMissing
업태구분명 has 28 (100.0%) missing valuesMissing
좌표정보(X) has 2 (7.1%) missing valuesMissing
좌표정보(Y) has 2 (7.1%) missing valuesMissing
보유자격증명 has 28 (100.0%) missing valuesMissing
국비지원여부 has 28 (100.0%) missing valuesMissing
담당직원내용 has 28 (100.0%) missing valuesMissing
삭제일자 has 28 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 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
보유자격증명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
국비지원여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
담당직원내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
삭제일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-17 23:17:17.544136
Analysis finished2024-05-17 23:17:18.499079
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
6110000
28 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6110000
2nd row6110000
3rd row6110000
4th row6110000
5th row6110000

Common Values

ValueCountFrequency (%)
6110000 28
100.0%

Length

2024-05-18T08:17:18.799692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:17:19.241567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6110000 28
100.0%

관리번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-18T08:17:19.798517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length27
Mean length27
Min length27

Characters and Unicode

Total characters756
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

Unique28 ?
Unique (%)100.0%

Sample

1st row201961100000040025-20190306
2nd row201961100000040026-20190326
3rd row201361100000040011-20130810
4th row201261100000040003-20120810
5th row201261100000040009-20121012
ValueCountFrequency (%)
201961100000040025-20190306 1
 
3.6%
201961100000040026-20190326 1
 
3.6%
202061100000040029-20200320 1
 
3.6%
201761100000040024-20170309 1
 
3.6%
201261100000040002-20120806 1
 
3.6%
201961100000040028-20191120 1
 
3.6%
201261100000040001-20120806 1
 
3.6%
201661100000040023-20160204 1
 
3.6%
201661100000040022-20160118 1
 
3.6%
201461100000040020-20140512 1
 
3.6%
Other values (18) 18
64.3%
2024-05-18T08:17:20.820627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 332
43.9%
1 149
19.7%
2 112
 
14.8%
6 41
 
5.4%
4 37
 
4.9%
- 28
 
3.7%
8 16
 
2.1%
9 15
 
2.0%
3 15
 
2.0%
7 7
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 728
96.3%
Dash Punctuation 28
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 332
45.6%
1 149
20.5%
2 112
 
15.4%
6 41
 
5.6%
4 37
 
5.1%
8 16
 
2.2%
9 15
 
2.1%
3 15
 
2.1%
7 7
 
1.0%
5 4
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 332
43.9%
1 149
19.7%
2 112
 
14.8%
6 41
 
5.4%
4 37
 
4.9%
- 28
 
3.7%
8 16
 
2.1%
9 15
 
2.0%
3 15
 
2.0%
7 7
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 332
43.9%
1 149
19.7%
2 112
 
14.8%
6 41
 
5.4%
4 37
 
4.9%
- 28
 
3.7%
8 16
 
2.1%
9 15
 
2.0%
3 15
 
2.0%
7 7
 
0.9%

인허가일자
Date

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2012-08-06 00:00:00
Maximum2020-03-20 00:00:00
2024-05-18T08:17:21.441727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:17:22.075034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
24 
3
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 24
85.7%
3 4
 
14.3%

Length

2024-05-18T08:17:22.586993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:17:22.995273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
85.7%
3 4
 
14.3%

영업상태명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업/정상
24 
폐업
4 

Length

Max length5
Median length5
Mean length4.5714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 24
85.7%
폐업 4
 
14.3%

Length

2024-05-18T08:17:23.379560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:17:23.766635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 24
85.7%
폐업 4
 
14.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
23 
1
4 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 23
82.1%
1 4
 
14.3%
3 1
 
3.6%

Length

2024-05-18T08:17:24.346951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:17:24.749252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
82.1%
1 4
 
14.3%
3 1
 
3.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
운영
23 
폐지
4 
재개
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row운영
2nd row운영
3rd row운영
4th row운영
5th row폐지

Common Values

ValueCountFrequency (%)
운영 23
82.1%
폐지 4
 
14.3%
재개 1
 
3.6%

Length

2024-05-18T08:17:25.078689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:17:25.475128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 23
82.1%
폐지 4
 
14.3%
재개 1
 
3.6%

폐업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing24
Missing (%)85.7%
Memory size356.0 B
Minimum2014-01-13 00:00:00
Maximum2023-06-08 00:00:00
2024-05-18T08:17:25.948221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:17:26.284625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing27
Missing (%)96.4%
Memory size356.0 B
Minimum2023-11-01 00:00:00
Maximum2023-11-01 00:00:00
2024-05-18T08:17:26.663729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:17:27.139865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing27
Missing (%)96.4%
Memory size356.0 B
Minimum2022-07-29 00:00:00
Maximum2022-07-29 00:00:00
2024-05-18T08:17:27.483903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:17:27.768796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

전화번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing9
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean2.367478 × 108
Minimum23687047
Maximum2.3838306 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-18T08:17:28.187993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23687047
5-th percentile23790955
Q125292948
median29240970
Q32.2697786 × 108
95-th percentile4.7605326 × 108
Maximum2.3838306 × 109
Range2.3601436 × 109
Interquartile range (IQR)2.0168491 × 108

Descriptive statistics

Standard deviation5.2998784 × 108
Coefficient of variation (CV)2.2386178
Kurtosis17.352046
Mean2.367478 × 108
Median Absolute Deviation (MAD)5553923
Skewness4.0893097
Sum4.4982083 × 109
Variance2.8088711 × 1017
MonotonicityNot monotonic
2024-05-18T08:17:28.618994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
28888352 2
 
7.1%
2383830600 1
 
3.6%
222070514 1
 
3.6%
23802500 1
 
3.6%
222587067 1
 
3.6%
23687047 1
 
3.6%
226994590 1
 
3.6%
222603096 1
 
3.6%
24081267 1
 
3.6%
26450825 1
 
3.6%
Other values (8) 8
28.6%
(Missing) 9
32.1%
ValueCountFrequency (%)
23687047 1
3.6%
23802500 1
3.6%
23802561 1
3.6%
24081267 1
3.6%
24765319 1
3.6%
25820577 1
3.6%
26450825 1
3.6%
28888352 2
7.1%
29240970 1
3.6%
222070514 1
3.6%
ValueCountFrequency (%)
2383830600 1
3.6%
264078003 1
3.6%
236689890 1
3.6%
232965596 1
3.6%
226994590 1
3.6%
226961134 1
3.6%
222603096 1
3.6%
222587067 1
3.6%
222070514 1
3.6%
29240970 1
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

지번주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-18T08:17:29.468217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length26.142857
Min length19

Characters and Unicode

Total characters732
Distinct characters94
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 봉천동 36-20 서용빌딩
2nd row서울특별시 구로구 구로동 505번지
3rd row서울특별시 서초구 서초동 1666번지 13호 지102호
4th row서울특별시 관악구 봉천동 36번지 20호 3층
5th row서울특별시 은평구 증산동 168-6번지 평산빌딩 4층
ValueCountFrequency (%)
서울특별시 28
 
18.2%
4층 4
 
2.6%
은평구 4
 
2.6%
강동구 3
 
1.9%
10호 3
 
1.9%
서초구 3
 
1.9%
서초동 3
 
1.9%
오금동 2
 
1.3%
봉천동 2
 
1.3%
신설동 2
 
1.3%
Other values (90) 100
64.9%
2024-05-18T08:17:30.843654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
19.3%
1 41
 
5.6%
동 39
 
5.3%
서 37
 
5.1%
구 30
 
4.1%
울 29
 
4.0%
특 28
 
3.8%
별 28
 
3.8%
시 28
 
3.8%
호 26
 
3.6%
Other values (84) 305
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 433
59.2%
Decimal Number 148
 
20.2%
Space Separator 141
 
19.3%
Dash Punctuation 7
 
1.0%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
9.0%
서 37
 
8.5%
구 30
 
6.9%
울 29
 
6.7%
특 28
 
6.5%
별 28
 
6.5%
시 28
 
6.5%
호 26
 
6.0%
지 25
 
5.8%
번 23
 
5.3%
Other values (69) 140
32.3%
Decimal Number
ValueCountFrequency (%)
1 41
27.7%
0 19
12.8%
6 18
12.2%
3 15
 
10.1%
4 14
 
9.5%
2 11
 
7.4%
5 10
 
6.8%
7 7
 
4.7%
9 7
 
4.7%
8 6
 
4.1%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 433
59.2%
Common 298
40.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
9.0%
서 37
 
8.5%
구 30
 
6.9%
울 29
 
6.7%
특 28
 
6.5%
별 28
 
6.5%
시 28
 
6.5%
호 26
 
6.0%
지 25
 
5.8%
번 23
 
5.3%
Other values (69) 140
32.3%
Common
ValueCountFrequency (%)
141
47.3%
1 41
 
13.8%
0 19
 
6.4%
6 18
 
6.0%
3 15
 
5.0%
4 14
 
4.7%
2 11
 
3.7%
5 10
 
3.4%
7 7
 
2.3%
- 7
 
2.3%
Other values (4) 15
 
5.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 433
59.2%
ASCII 299
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
47.2%
1 41
 
13.7%
0 19
 
6.4%
6 18
 
6.0%
3 15
 
5.0%
4 14
 
4.7%
2 11
 
3.7%
5 10
 
3.3%
7 7
 
2.3%
- 7
 
2.3%
Other values (5) 16
 
5.4%
Hangul
ValueCountFrequency (%)
동 39
 
9.0%
서 37
 
8.5%
구 30
 
6.9%
울 29
 
6.7%
특 28
 
6.5%
별 28
 
6.5%
시 28
 
6.5%
호 26
 
6.0%
지 25
 
5.8%
번 23
 
5.3%
Other values (69) 140
32.3%

도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-18T08:17:31.602225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length30.821429
Min length22

Characters and Unicode

Total characters863
Distinct characters117
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

Unique28 ?
Unique (%)100.0%

Sample

1st row서울특별시 관악구 관악로28길 7, 서용빌딩 3층 (봉천동)
2nd row서울특별시 구로구 구로중앙로31길 34, 604호 (구로동)
3rd row서울특별시 서초구 서초대로56길 40, 지102호동 (서초동,지102호)
4th row서울특별시 관악구 봉천로 36 (봉천동)
5th row서울특별시 은평구 가좌로 256, 01동 02층 (응암동,송지빌딩2층)
ValueCountFrequency (%)
서울특별시 28
 
17.2%
은평구 4
 
2.5%
4층 4
 
2.5%
서초구 3
 
1.8%
강동구 3
 
1.8%
서초동 2
 
1.2%
2층 2
 
1.2%
9 2
 
1.2%
중대로38길 2
 
1.2%
송파구 2
 
1.2%
Other values (100) 111
68.1%
2024-05-18T08:17:33.111685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
15.6%
동 44
 
5.1%
서 39
 
4.5%
로 32
 
3.7%
2 31
 
3.6%
구 31
 
3.6%
울 29
 
3.4%
별 28
 
3.2%
시 28
 
3.2%
( 28
 
3.2%
Other values (107) 438
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
58.2%
Decimal Number 139
 
16.1%
Space Separator 135
 
15.6%
Open Punctuation 28
 
3.2%
Close Punctuation 28
 
3.2%
Other Punctuation 27
 
3.1%
Dash Punctuation 3
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
8.8%
서 39
 
7.8%
로 32
 
6.4%
구 31
 
6.2%
울 29
 
5.8%
별 28
 
5.6%
시 28
 
5.6%
특 28
 
5.6%
층 13
 
2.6%
길 13
 
2.6%
Other values (90) 217
43.2%
Decimal Number
ValueCountFrequency (%)
2 31
22.3%
1 22
15.8%
0 18
12.9%
4 17
12.2%
3 14
10.1%
6 11
 
7.9%
5 8
 
5.8%
8 8
 
5.8%
9 6
 
4.3%
7 4
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
. 1
 
3.7%
Space Separator
ValueCountFrequency (%)
135
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
58.2%
Common 360
41.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
8.8%
서 39
 
7.8%
로 32
 
6.4%
구 31
 
6.2%
울 29
 
5.8%
별 28
 
5.6%
시 28
 
5.6%
특 28
 
5.6%
층 13
 
2.6%
길 13
 
2.6%
Other values (90) 217
43.2%
Common
ValueCountFrequency (%)
135
37.5%
2 31
 
8.6%
( 28
 
7.8%
) 28
 
7.8%
, 26
 
7.2%
1 22
 
6.1%
0 18
 
5.0%
4 17
 
4.7%
3 14
 
3.9%
6 11
 
3.1%
Other values (6) 30
 
8.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
58.2%
ASCII 361
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
37.4%
2 31
 
8.6%
( 28
 
7.8%
) 28
 
7.8%
, 26
 
7.2%
1 22
 
6.1%
0 18
 
5.0%
4 17
 
4.7%
3 14
 
3.9%
6 11
 
3.0%
Other values (7) 31
 
8.6%
Hangul
ValueCountFrequency (%)
동 44
 
8.8%
서 39
 
7.8%
로 32
 
6.4%
구 31
 
6.2%
울 29
 
5.8%
별 28
 
5.6%
시 28
 
5.6%
특 28
 
5.6%
층 13
 
2.6%
길 13
 
2.6%
Other values (90) 217
43.2%

도로명우편번호
Real number (ℝ)

Distinct18
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11477.5
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-18T08:17:33.589989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11166.25
Q111335
median11515
Q311650
95-th percentile11740
Maximum11740
Range630
Interquartile range (IQR)315

Descriptive statistics

Standard deviation197.12517
Coefficient of variation (CV)0.017174922
Kurtosis-1.1776792
Mean11477.5
Median Absolute Deviation (MAD)135
Skewness-0.29218386
Sum321370
Variance38858.333
MonotonicityNot monotonic
2024-05-18T08:17:33.999075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11380 4
14.3%
11650 3
 
10.7%
11740 3
 
10.7%
11620 2
 
7.1%
11230 2
 
7.1%
11710 2
 
7.1%
11260 1
 
3.6%
11560 1
 
3.6%
11500 1
 
3.6%
11140 1
 
3.6%
Other values (8) 8
28.6%
ValueCountFrequency (%)
11110 1
 
3.6%
11140 1
 
3.6%
11215 1
 
3.6%
11230 2
7.1%
11260 1
 
3.6%
11290 1
 
3.6%
11350 1
 
3.6%
11380 4
14.3%
11470 1
 
3.6%
11500 1
 
3.6%
ValueCountFrequency (%)
11740 3
10.7%
11710 2
7.1%
11650 3
10.7%
11620 2
7.1%
11590 1
 
3.6%
11560 1
 
3.6%
11545 1
 
3.6%
11530 1
 
3.6%
11500 1
 
3.6%
11470 1
 
3.6%

사업장명
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-18T08:17:34.803666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length13.107143
Min length10

Characters and Unicode

Total characters367
Distinct characters67
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

Unique26 ?
Unique (%)92.9%

Sample

1st row관악장례지도사 교육원
2nd row(주)다문화일보 부설 구로장례지도사교육원
3rd row서초장례지도사 교육원
4th row관악장례지도사교육원
5th row상제장례지도사교육원
ValueCountFrequency (%)
교육원 6
 
13.0%
장례지도사교육원 4
 
8.7%
장례지도사 3
 
6.5%
부설 3
 
6.5%
서울기독대학교 2
 
4.3%
내일장례지도사교육원 2
 
4.3%
강동취업전문평생교육원장례지도사교육원 1
 
2.2%
가톨릭장례지도사교육원 1
 
2.2%
프리드장례지도사교육원 1
 
2.2%
강서장례지도사교육원 1
 
2.2%
Other values (22) 22
47.8%
2024-05-18T08:17:36.145352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 36
 
9.8%
원 33
 
9.0%
육 31
 
8.4%
장 28
 
7.6%
례 28
 
7.6%
지 28
 
7.6%
도 28
 
7.6%
사 28
 
7.6%
19
 
5.2%
서 7
 
1.9%
Other values (57) 101
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
94.3%
Space Separator 19
 
5.2%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 36
 
10.4%
원 33
 
9.5%
육 31
 
9.0%
장 28
 
8.1%
례 28
 
8.1%
지 28
 
8.1%
도 28
 
8.1%
사 28
 
8.1%
서 7
 
2.0%
대 7
 
2.0%
Other values (54) 92
26.6%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
94.3%
Common 21
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 36
 
10.4%
원 33
 
9.5%
육 31
 
9.0%
장 28
 
8.1%
례 28
 
8.1%
지 28
 
8.1%
도 28
 
8.1%
사 28
 
8.1%
서 7
 
2.0%
대 7
 
2.0%
Other values (54) 92
26.6%
Common
ValueCountFrequency (%)
19
90.5%
( 1
 
4.8%
) 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
94.3%
ASCII 21
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 36
 
10.4%
원 33
 
9.5%
육 31
 
9.0%
장 28
 
8.1%
례 28
 
8.1%
지 28
 
8.1%
도 28
 
8.1%
사 28
 
8.1%
서 7
 
2.0%
대 7
 
2.0%
Other values (54) 92
26.6%
ASCII
ValueCountFrequency (%)
19
90.5%
( 1
 
4.8%
) 1
 
4.8%

최종수정일자
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2012-08-06 16:55:27
Maximum2024-05-07 13:31:03
2024-05-18T08:17:36.559893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:17:37.020565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
I
19 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 19
67.9%
U 9
32.1%

Length

2024-05-18T08:17:37.489066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T08:17:37.774862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 19
67.9%
u 9
32.1%

데이터갱신일자
Date

Distinct9
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-18T08:17:38.019764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T08:17:38.365658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)80.8%
Missing2
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean200139.47
Minimum186108.12
Maximum212781.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-18T08:17:38.694639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186108.12
5-th percentile187622.94
Q1193475.41
median200429.21
Q3206902.46
95-th percentile211780.86
Maximum212781.13
Range26673.011
Interquartile range (IQR)13427.049

Descriptive statistics

Standard deviation8148.993
Coefficient of variation (CV)0.040716571
Kurtosis-1.0734807
Mean200139.47
Median Absolute Deviation (MAD)6951.3014
Skewness0.046792165
Sum5203626.3
Variance66406088
MonotonicityNot monotonic
2024-05-18T08:17:39.080755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
196083.912692104 2
 
7.1%
202028.666639027 2
 
7.1%
211780.855110981 2
 
7.1%
192181.821698322 2
 
7.1%
201460.55205118 2
 
7.1%
206552.561558601 1
 
3.6%
211661.387960885 1
 
3.6%
186108.118527493 1
 
3.6%
193472.910163127 1
 
3.6%
201055.049081675 1
 
3.6%
Other values (11) 11
39.3%
(Missing) 2
 
7.1%
ValueCountFrequency (%)
186108.118527493 1
3.6%
186911.978387526 1
3.6%
189755.821150409 1
3.6%
191527.256147461 1
3.6%
192181.821698322 2
7.1%
193472.910163127 1
3.6%
193482.909063502 1
3.6%
196083.912692104 2
7.1%
197766.440576396 1
3.6%
199125.584251207 1
3.6%
ValueCountFrequency (%)
212781.129729116 1
3.6%
211780.855110981 2
7.1%
211661.387960885 1
3.6%
210859.291225056 1
3.6%
208671.745138066 1
3.6%
207019.091699528 1
3.6%
206552.561558601 1
3.6%
202028.666639027 2
7.1%
201460.55205118 2
7.1%
201055.049081675 1
3.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)80.8%
Missing2
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean448491.83
Minimum441955.94
Maximum457344.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-18T08:17:39.387221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441955.94
5-th percentile442198.86
Q1443565.8
median447879.67
Q3452420.61
95-th percentile456074.23
Maximum457344.47
Range15388.531
Interquartile range (IQR)8854.8111

Descriptive statistics

Standard deviation5158.3393
Coefficient of variation (CV)0.011501523
Kurtosis-1.3325392
Mean448491.83
Median Absolute Deviation (MAD)4509.7362
Skewness0.30955839
Sum11660788
Variance26608464
MonotonicityNot monotonic
2024-05-18T08:17:39.648083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
442577.950900752 2
 
7.1%
452420.611811818 2
 
7.1%
444987.563462453 2
 
7.1%
455399.730810479 2
 
7.1%
443401.139399135 2
 
7.1%
457344.469525861 1
 
3.6%
448108.985035781 1
 
3.6%
449140.721984638 1
 
3.6%
446842.048446104 1
 
3.6%
442298.468220422 1
 
3.6%
Other values (11) 11
39.3%
(Missing) 2
 
7.1%
ValueCountFrequency (%)
441955.938106298 1
3.6%
442165.655825024 1
3.6%
442298.468220422 1
3.6%
442577.950900752 2
7.1%
443401.139399135 2
7.1%
444059.784684355 1
3.6%
444987.563462453 2
7.1%
446400.67233146 1
3.6%
446842.048446104 1
3.6%
447650.357354011 1
3.6%
ValueCountFrequency (%)
457344.469525861 1
3.6%
456271.248152724 1
3.6%
455483.177662697 1
3.6%
455399.730810479 2
7.1%
455220.732205178 1
3.6%
452420.611811818 2
7.1%
450779.092503874 1
3.6%
450753.975568247 1
3.6%
449140.721984638 1
3.6%
448738.302114305 1
3.6%

보유자격증명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

국비지원여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

담당직원내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

삭제일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)보유자격증명국비지원여부담당직원내용삭제일자
06110000201961100000040025-2019030620190306<NA>1영업/정상0운영<NA><NA><NA><NA>28888352<NA><NA>서울특별시 관악구 봉천동 36-20 서용빌딩서울특별시 관악구 관악로28길 7, 서용빌딩 3층 (봉천동)11620관악장례지도사 교육원2019-03-06 11:27:15I2019-03-08 02:21:43.0<NA>196083.912692442577.950901<NA><NA><NA><NA>
16110000201961100000040026-201903262019-03-26<NA>1영업/정상0운영<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 505번지서울특별시 구로구 구로중앙로31길 34, 604호 (구로동)11530(주)다문화일보 부설 구로장례지도사교육원2024-05-07 13:31:03U2023-12-05 00:09:00.0<NA>189755.82115444059.784684<NA><NA><NA><NA>
26110000201361100000040011-2013081020130810<NA>1영업/정상0운영<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1666번지 13호 지102호서울특별시 서초구 서초대로56길 40, 지102호동 (서초동,지102호)11650서초장례지도사 교육원2012-11-05 14:20:30I2018-08-31 23:59:59.0<NA>201460.552051443401.139399<NA><NA><NA><NA>
36110000201261100000040003-2012081020120810<NA>1영업/정상0운영<NA><NA><NA><NA>28888352<NA><NA>서울특별시 관악구 봉천동 36번지 20호 3층서울특별시 관악구 봉천로 36 (봉천동)11620관악장례지도사교육원2012-09-26 21:18:47I2018-08-31 23:59:59.0<NA>196083.912692442577.950901<NA><NA><NA><NA>
46110000201261100000040009-2012101220121012<NA>3폐업1폐지20171221<NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동 168-6번지 평산빌딩 4층서울특별시 은평구 가좌로 256, 01동 02층 (응암동,송지빌딩2층)11380상제장례지도사교육원2022-12-06 14:13:28U2021-11-02 00:08:00.0<NA><NA><NA><NA><NA><NA><NA>
56110000201261100000040004-2012080620120806<NA>1영업/정상0운영<NA><NA><NA><NA>226961134<NA><NA>서울특별시 양천구 신정동 1183번지 7호 4층서울특별시 양천구 신정중앙로 1183, 4층 (신정동)11470서울중부장례지도사교육원2012-09-26 21:36:14I2018-08-31 23:59:59.0<NA>186911.978388446400.672331<NA><NA><NA><NA>
66110000201261100000040006-2012081020120810<NA>1영업/정상0운영<NA><NA><NA><NA>2383830600<NA><NA>서울특별시 은평구 녹번동 131번지 158호서울특별시 은평구 진흥로 156 (녹번동)11380은평장례지도사교육원2012-10-29 13:58:21I2018-08-31 23:59:59.0<NA>193482.909064456271.248153<NA><NA><NA><NA>
76110000201261100000040007-2012082820120828<NA>1영업/정상0운영<NA><NA><NA><NA>232965596<NA><NA>서울특별시 노원구 공릉동 680번지 10호서울특별시 노원구 동일로 989 (공릉동)11350태릉 장례지도사 교육원2012-10-29 14:40:38I2018-08-31 23:59:59.0<NA>206552.561559457344.469526<NA><NA><NA><NA>
86110000201261100000040008-2012083020120830<NA>1영업/정상0운영<NA><NA><NA><NA>24765319<NA><NA>서울특별시 강동구 둔촌동 35번지 2호 B04호 01동 04호서울특별시 강동구 명일로10나길 28, 04동 3층 1호 (둔촌동,B04호)11740강동 장례지도사 교육원2012-10-30 08:09:15I2018-08-31 23:59:59.0<NA>212781.129729447650.357354<NA><NA><NA><NA>
96110000201261100000040010-2012101920121019<NA>1영업/정상0운영<NA><NA><NA><NA>29240970<NA><NA>서울특별시 동대문구 신설동 117번지 5호서울특별시 동대문구 난계로 252 (신설동)11230내일장례지도사교육원2012-10-30 11:05:05I2018-08-31 23:59:59.0<NA>202028.666639452420.611812<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)보유자격증명국비지원여부담당직원내용삭제일자
186110000201261100000040019-2012121120121211<NA>1영업/정상0운영<NA><NA><NA><NA>24081267<NA><NA>서울특별시 송파구 오금동 90번지 10호 2층서울특별시 송파구 중대로38길 9, 2층 (오금동,2층)11710송파장례지도사교육원2014-03-13 17:22:55I2018-08-31 23:59:59.0<NA>211780.855111444987.563462<NA><NA><NA><NA>
196110000201461100000040020-2014051220140512<NA>1영업/정상0운영<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 90번지 10호서울특별시 송파구 중대로38길 9, 2층 (오금동)11710예당장례지도사 교육원2014-05-12 16:51:39I2018-08-31 23:59:59.0<NA>211780.855111444987.563462<NA><NA><NA><NA>
206110000201661100000040022-2016011820160118<NA>1영업/정상0운영<NA><NA><NA><NA>222603096<NA><NA>서울특별시 중구 필동3가 26번지 1호서울특별시 중구 필동로1길 30 (필동3가)11140동국대학교불교대학원부설장례지도사교육원2016-05-08 17:52:47I2018-08-31 23:59:59.0<NA>199803.372961450779.092504<NA><NA><NA><NA>
216110000201661100000040023-2016020420160204<NA>3폐업1폐지20170207<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 432번지 14호 4층서울특별시 강동구 천호대로151길 42, 4층 (천호동,삼우빌딩)11740언약평생교육원 부설 장례지도사교육원2018-11-14 11:13:01U2018-11-16 02:37:49.0<NA>210859.291225448738.302114<NA><NA><NA><NA>
226110000201261100000040001-2012080620120806<NA>1영업/정상0운영<NA><NA><NA><NA>226994590<NA><NA>서울특별시 강서구 화곡동 111-16서울특별시 강서구 화곡로 211, 2층(화곡동)11500강서장례지도사교육원2022-07-15 10:42:28U2021-12-08 22:08:00.0<NA>201055.049082442298.46822<NA><NA><NA><NA>
236110000201961100000040028-2019112020191120<NA>1영업/정상0운영<NA><NA><NA><NA>23687047<NA><NA>서울특별시 영등포구 여의도동 25-3 동화빌딩4층 1동서울특별시 영등포구 여의나루로 71, 동화빌딩 1동 4층 (여의도동)11560프리드장례지도사교육원2020-03-30 18:12:02I2021-12-08 22:08:00.0<NA>193472.910163446842.048446<NA><NA><NA><NA>
246110000201261100000040002-2012080620120806<NA>3폐업1폐지20140113<NA><NA><NA>222587067<NA><NA>서울특별시 서초구 서초동 1451번지 41호서울특별시 서초구 반포대로 222 (서초동)11650가톨릭장례지도사교육원2012-08-06 16:55:27U2021-12-08 22:08:00.0<NA>186108.118527449140.721985<NA><NA><NA><NA>
256110000201761100000040024-201703092017-03-09<NA>1영업/정상3재개<NA><NA>2023-11-012022-07-29<NA><NA><NA>서울특별시 강동구 성내동 194번지 에스케이허브진 206호서울특별시 강동구 천호대로 1092, 206호(성내동, 에스케이허브진)11740강동취업전문평생교육원장례지도사교육원2023-11-01 13:35:23U2022-11-01 00:03:00.0<NA>211661.387961448108.985036<NA><NA><NA><NA>
266110000202061100000040029-202003202020-03-20<NA>3폐업1폐지2023-06-08<NA><NA><NA>23802500<NA><NA>서울특별시 은평구 신사동 1-19 서울기독교대학교 .동서울특별시 은평구 갈현로4길 26-2, 서울기독교대학교 .동 (신사동)11380서울기독대학교 부설 장례지도사교육원2024-01-23 15:58:28U2023-11-30 22:05:00.0<NA>192181.821698455399.73081<NA><NA><NA><NA>
276110000201961100000040027-201903292019-03-29<NA>1영업/정상0운영<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1666-13 지제이빌딩 102호서울특별시 서초구 서초대로56길 40, 지제이빌딩 (서초동)11650서초장례지도사교육원2024-01-23 15:56:01U2023-11-30 22:05:00.0<NA>201460.552051443401.139399<NA><NA><NA><NA>