Overview

Dataset statistics

Number of variables27
Number of observations21
Missing cells160
Missing cells (%)28.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory235.3 B

Variable types

Categorical9
Numeric3
DateTime4
Unsupported6
Text5

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),법인구분명,구분명
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20188/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 13 (61.9%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 5 (23.8%) missing valuesMissing
소재지면적 has 21 (100.0%) missing valuesMissing
지번주소 has 7 (33.3%) missing valuesMissing
도로명주소 has 1 (4.8%) missing valuesMissing
도로명우편번호 has 4 (19.0%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 2 (9.5%) missing valuesMissing
좌표정보(Y) has 2 (9.5%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 20:06:17.748265
Analysis finished2024-04-29 20:06:18.362845
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3110000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 21
100.0%

Length

2024-04-30T05:06:18.428568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:18.509801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0141682 × 1018
Minimum2.000311 × 1018
Maximum2.024311 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T05:06:18.587571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.000311 × 1018
5-th percentile2.002311 × 1018
Q12.008311 × 1018
median2.014311 × 1018
Q32.021311 × 1018
95-th percentile2.022311 × 1018
Maximum2.024311 × 1018
Range2.4000013 × 1016
Interquartile range (IQR)1.3000011 × 1016

Descriptive statistics

Standard deviation7.1922626 × 1015
Coefficient of variation (CV)0.0035708352
Kurtosis-1.0623115
Mean2.0141682 × 1018
Median Absolute Deviation (MAD)7.0000041 × 1015
Skewness-0.28393935
Sum5.4040432 × 1018
Variance5.1728641 × 1031
MonotonicityStrictly increasing
2024-04-30T05:06:18.687334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2000311008811200001 1
 
4.8%
2002311008811200001 1
 
4.8%
2024311021714500001 1
 
4.8%
2022311021714500004 1
 
4.8%
2022311021714500003 1
 
4.8%
2021311021714500006 1
 
4.8%
2021311021714500005 1
 
4.8%
2021311021714500003 1
 
4.8%
2021311021714500001 1
 
4.8%
2020311021714500001 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
2000311008811200001 1
4.8%
2002311008811200001 1
4.8%
2007311011114500003 1
4.8%
2007311011411200001 1
4.8%
2007311011411200002 1
4.8%
2008311011114500001 1
4.8%
2008311011114500003 1
4.8%
2011311014714500001 1
4.8%
2012311015514500006 1
4.8%
2013311015514500006 1
4.8%
ValueCountFrequency (%)
2024311021714500001 1
4.8%
2022311021714500004 1
4.8%
2022311021714500003 1
4.8%
2021311021714500006 1
4.8%
2021311021714500005 1
4.8%
2021311021714500003 1
4.8%
2021311021714500001 1
4.8%
2020311021714500001 1
4.8%
2015311015514500002 1
4.8%
2015311015514500001 1
4.8%

인허가일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2000-04-28 00:00:00
Maximum2024-03-07 00:00:00
2024-04-30T05:06:18.782369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:18.874146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
11 
3
8 
5
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 11
52.4%
3 8
38.1%
5 2
 
9.5%

Length

2024-04-30T05:06:18.981526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:19.081641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 11
52.4%
3 8
38.1%
5 2
 
9.5%

영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
11 
폐업
8 
제외/삭제/전출
2 

Length

Max length8
Median length5
Mean length4.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 8
38.1%
제외/삭제/전출 2
 
9.5%

Length

2024-04-30T05:06:19.190781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:19.277108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 11
52.4%
폐업 8
38.1%
제외/삭제/전출 2
 
9.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
20
11 
40
8 
50
2 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row40
3rd row20
4th row40
5th row20

Common Values

ValueCountFrequency (%)
20 11
52.4%
40 8
38.1%
50 2
 
9.5%

Length

2024-04-30T05:06:19.367548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:19.455500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20 11
52.4%
40 8
38.1%
50 2
 
9.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업중
11 
폐업
8 
타시군구이관
2 

Length

Max length6
Median length3
Mean length2.9047619
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업중
4th row폐업
5th row영업중

Common Values

ValueCountFrequency (%)
영업중 11
52.4%
폐업 8
38.1%
타시군구이관 2
 
9.5%

Length

2024-04-30T05:06:19.577004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:19.670419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 11
52.4%
폐업 8
38.1%
타시군구이관 2
 
9.5%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing13
Missing (%)61.9%
Memory size300.0 B
Minimum2007-07-25 00:00:00
Maximum2023-04-03 00:00:00
2024-04-30T05:06:19.744015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:19.834094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing5
Missing (%)23.8%
Memory size300.0 B
2024-04-30T05:06:19.965535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.125
Min length8

Characters and Unicode

Total characters178
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

Unique16 ?
Unique (%)100.0%

Sample

1st row385 8715
2nd row02 385 8715
3rd row02 351 3982
4th row02 389 1976
5th row02 36723440
ValueCountFrequency (%)
02 11
30.6%
385 2
 
5.6%
389 2
 
5.6%
8715 2
 
5.6%
584 1
 
2.8%
0231578808 1
 
2.8%
5412 1
 
2.8%
835 1
 
2.8%
0222538254 1
 
2.8%
023828254 1
 
2.8%
Other values (13) 13
36.1%
2024-04-30T05:06:20.240192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
17.4%
2 27
15.2%
0 24
13.5%
3 22
12.4%
8 20
11.2%
5 18
10.1%
1 11
 
6.2%
9 7
 
3.9%
6 7
 
3.9%
4 6
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 147
82.6%
Space Separator 31
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
18.4%
0 24
16.3%
3 22
15.0%
8 20
13.6%
5 18
12.2%
1 11
7.5%
9 7
 
4.8%
6 7
 
4.8%
4 6
 
4.1%
7 5
 
3.4%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
31
17.4%
2 27
15.2%
0 24
13.5%
3 22
12.4%
8 20
11.2%
5 18
10.1%
1 11
 
6.2%
9 7
 
3.9%
6 7
 
3.9%
4 6
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
17.4%
2 27
15.2%
0 24
13.5%
3 22
12.4%
8 20
11.2%
5 18
10.1%
1 11
 
6.2%
9 7
 
3.9%
6 7
 
3.9%
4 6
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
19 
122020
2 

Length

Max length6
Median length4
Mean length4.1904762
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
90.5%
122020 2
 
9.5%

Length

2024-04-30T05:06:20.363837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:20.456190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
90.5%
122020 2
 
9.5%

지번주소
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing7
Missing (%)33.3%
Memory size300.0 B
2024-04-30T05:06:20.616756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length25.071429
Min length17

Characters and Unicode

Total characters351
Distinct characters69
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 구산동 191번지 1호 13통 7반
2nd row서울특별시 은평구 역촌동 64번지 15호 7통 3반
3rd row서울특별시 은평구 진관동 산 38번지 48호
4th row서울특별시 강동구 천호동 449번지 49호 힐탑오피텔 803
5th row서울특별시 은평구 진관동 156번지 6호
ValueCountFrequency (%)
서울특별시 14
18.4%
은평구 13
17.1%
녹번동 5
 
6.6%
구산동 2
 
2.6%
1호 2
 
2.6%
서울혁신파크 2
 
2.6%
5번지 2
 
2.6%
진관동 2
 
2.6%
3층 1
 
1.3%
서부장애인 1
 
1.3%
Other values (32) 32
42.1%
2024-04-30T05:06:20.917155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
19.7%
서 17
 
4.8%
1 17
 
4.8%
구 16
 
4.6%
울 16
 
4.6%
동 15
 
4.3%
번 14
 
4.0%
특 14
 
4.0%
별 14
 
4.0%
시 14
 
4.0%
Other values (59) 145
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
62.7%
Space Separator 69
 
19.7%
Decimal Number 55
 
15.7%
Uppercase Letter 4
 
1.1%
Dash Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 17
 
7.7%
구 16
 
7.3%
울 16
 
7.3%
동 15
 
6.8%
번 14
 
6.4%
특 14
 
6.4%
별 14
 
6.4%
시 14
 
6.4%
은 13
 
5.9%
평 13
 
5.9%
Other values (43) 74
33.6%
Decimal Number
ValueCountFrequency (%)
1 17
30.9%
4 8
14.5%
3 7
12.7%
5 5
 
9.1%
7 4
 
7.3%
9 4
 
7.3%
8 3
 
5.5%
2 3
 
5.5%
6 3
 
5.5%
0 1
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
A 1
25.0%
Y 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
62.7%
Common 127
36.2%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 17
 
7.7%
구 16
 
7.3%
울 16
 
7.3%
동 15
 
6.8%
번 14
 
6.4%
특 14
 
6.4%
별 14
 
6.4%
시 14
 
6.4%
은 13
 
5.9%
평 13
 
5.9%
Other values (43) 74
33.6%
Common
ValueCountFrequency (%)
69
54.3%
1 17
 
13.4%
4 8
 
6.3%
3 7
 
5.5%
5 5
 
3.9%
7 4
 
3.1%
9 4
 
3.1%
- 3
 
2.4%
8 3
 
2.4%
2 3
 
2.4%
Other values (2) 4
 
3.1%
Latin
ValueCountFrequency (%)
T 1
25.0%
A 1
25.0%
Y 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
62.7%
ASCII 131
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
52.7%
1 17
 
13.0%
4 8
 
6.1%
3 7
 
5.3%
5 5
 
3.8%
7 4
 
3.1%
9 4
 
3.1%
- 3
 
2.3%
8 3
 
2.3%
2 3
 
2.3%
Other values (6) 8
 
6.1%
Hangul
ValueCountFrequency (%)
서 17
 
7.7%
구 16
 
7.3%
울 16
 
7.3%
동 15
 
6.8%
번 14
 
6.4%
특 14
 
6.4%
별 14
 
6.4%
시 14
 
6.4%
은 13
 
5.9%
평 13
 
5.9%
Other values (43) 74
33.6%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-04-30T05:06:21.097689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37.5
Mean length33.1
Min length23

Characters and Unicode

Total characters662
Distinct characters106
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

Unique20 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 갈현로11길 30 (구산동)
2nd row서울특별시 은평구 연서로5길 19 (역촌동)
3rd row서울특별시 강동구 천호대로 1073, 803호 (천호동,힐탑오피텔)
4th row서울특별시 은평구 연서로 415 (진관동)
5th row서울특별시 은평구 갈현로11길 30, 서부장애인 종합복지관 4층 직업문화팀호 (구산동)
ValueCountFrequency (%)
서울특별시 20
 
15.2%
은평구 19
 
14.4%
통일로 10
 
7.6%
녹번동 9
 
6.8%
684 6
 
4.5%
4층 3
 
2.3%
신사동 3
 
2.3%
증산로23길 2
 
1.5%
불광동 2
 
1.5%
2층 2
 
1.5%
Other values (49) 56
42.4%
2024-04-30T05:06:21.391586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.9%
서 27
 
4.1%
동 26
 
3.9%
울 24
 
3.6%
구 22
 
3.3%
1 22
 
3.3%
로 21
 
3.2%
시 21
 
3.2%
별 20
 
3.0%
( 20
 
3.0%
Other values (96) 347
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
58.9%
Space Separator 112
 
16.9%
Decimal Number 96
 
14.5%
Open Punctuation 20
 
3.0%
Close Punctuation 20
 
3.0%
Other Punctuation 18
 
2.7%
Uppercase Letter 5
 
0.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 27
 
6.9%
동 26
 
6.7%
울 24
 
6.2%
구 22
 
5.6%
로 21
 
5.4%
시 21
 
5.4%
별 20
 
5.1%
특 20
 
5.1%
은 19
 
4.9%
평 19
 
4.9%
Other values (76) 171
43.8%
Decimal Number
ValueCountFrequency (%)
1 22
22.9%
3 13
13.5%
8 12
12.5%
6 11
11.5%
4 11
11.5%
7 8
 
8.3%
0 8
 
8.3%
2 5
 
5.2%
5 4
 
4.2%
9 2
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
A 1
20.0%
S 1
20.0%
T 1
20.0%
Y 1
20.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
58.9%
Common 267
40.3%
Latin 5
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 27
 
6.9%
동 26
 
6.7%
울 24
 
6.2%
구 22
 
5.6%
로 21
 
5.4%
시 21
 
5.4%
별 20
 
5.1%
특 20
 
5.1%
은 19
 
4.9%
평 19
 
4.9%
Other values (76) 171
43.8%
Common
ValueCountFrequency (%)
112
41.9%
1 22
 
8.2%
( 20
 
7.5%
) 20
 
7.5%
, 18
 
6.7%
3 13
 
4.9%
8 12
 
4.5%
6 11
 
4.1%
4 11
 
4.1%
7 8
 
3.0%
Other values (5) 20
 
7.5%
Latin
ValueCountFrequency (%)
B 1
20.0%
A 1
20.0%
S 1
20.0%
T 1
20.0%
Y 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
58.9%
ASCII 272
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
41.2%
1 22
 
8.1%
( 20
 
7.4%
) 20
 
7.4%
, 18
 
6.6%
3 13
 
4.8%
8 12
 
4.4%
6 11
 
4.0%
4 11
 
4.0%
7 8
 
2.9%
Other values (10) 25
 
9.2%
Hangul
ValueCountFrequency (%)
서 27
 
6.9%
동 26
 
6.7%
울 24
 
6.2%
구 22
 
5.6%
로 21
 
5.4%
시 21
 
5.4%
별 20
 
5.1%
특 20
 
5.1%
은 19
 
4.9%
평 19
 
4.9%
Other values (76) 171
43.8%

도로명우편번호
Text

MISSING 

Distinct14
Distinct (%)82.4%
Missing4
Missing (%)19.0%
Memory size300.0 B
2024-04-30T05:06:21.522599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3529412
Min length5

Characters and Unicode

Total characters91
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

Unique12 ?
Unique (%)70.6%

Sample

1st row122-200
2nd row03428
3rd row03382
4th row03371
5th row122020
ValueCountFrequency (%)
03371 3
17.6%
03450 2
11.8%
122-200 1
 
5.9%
03428 1
 
5.9%
03382 1
 
5.9%
122020 1
 
5.9%
122824 1
 
5.9%
122885 1
 
5.9%
122828 1
 
5.9%
03391 1
 
5.9%
Other values (4) 4
23.5%
2024-04-30T05:06:21.788165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 21
23.1%
0 19
20.9%
2 16
17.6%
1 9
9.9%
8 9
9.9%
4 5
 
5.5%
5 5
 
5.5%
7 4
 
4.4%
- 1
 
1.1%
9 1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
98.9%
Dash Punctuation 1
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 21
23.3%
0 19
21.1%
2 16
17.8%
1 9
10.0%
8 9
10.0%
4 5
 
5.6%
5 5
 
5.6%
7 4
 
4.4%
9 1
 
1.1%
6 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 21
23.1%
0 19
20.9%
2 16
17.6%
1 9
9.9%
8 9
9.9%
4 5
 
5.5%
5 5
 
5.5%
7 4
 
4.4%
- 1
 
1.1%
9 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 21
23.1%
0 19
20.9%
2 16
17.6%
1 9
9.9%
8 9
9.9%
4 5
 
5.5%
5 5
 
5.5%
7 4
 
4.4%
- 1
 
1.1%
9 1
 
1.1%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-30T05:06:21.979342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length11.238095
Min length7

Characters and Unicode

Total characters236
Distinct characters96
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row서부장애인취업알선센타
2nd row은성무료직업소개소
3rd row은평고령자취업알선센터
4th row은평여성전문취업센터
5th row서울시립은평노인종합복지관
ValueCountFrequency (%)
서부장애인취업알선센타 1
 
4.2%
은성무료직업소개소 1
 
4.2%
사)한국ict패션뷰티산업협회 1
 
4.2%
사회적협동조합연합회 1
 
4.2%
한국의료복지 1
 
4.2%
삶터사회적협동조합 1
 
4.2%
은평어르신일자리센터 1
 
4.2%
위드잡서부지사 1
 
4.2%
삶터 1
 
4.2%
대한노인회은평구지회 1
 
4.2%
Other values (14) 14
58.3%
2024-04-30T05:06:22.289371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
은 10
 
4.2%
인 9
 
3.8%
지 9
 
3.8%
평 9
 
3.8%
업 8
 
3.4%
터 8
 
3.4%
센 7
 
3.0%
사 7
 
3.0%
서 6
 
2.5%
회 6
 
2.5%
Other values (86) 157
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 224
94.9%
Space Separator 3
 
1.3%
Close Punctuation 3
 
1.3%
Open Punctuation 3
 
1.3%
Uppercase Letter 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
은 10
 
4.5%
인 9
 
4.0%
지 9
 
4.0%
평 9
 
4.0%
업 8
 
3.6%
터 8
 
3.6%
센 7
 
3.1%
사 7
 
3.1%
서 6
 
2.7%
회 6
 
2.7%
Other values (80) 145
64.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 224
94.9%
Common 9
 
3.8%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
은 10
 
4.5%
인 9
 
4.0%
지 9
 
4.0%
평 9
 
4.0%
업 8
 
3.6%
터 8
 
3.6%
센 7
 
3.1%
사 7
 
3.1%
서 6
 
2.7%
회 6
 
2.7%
Other values (80) 145
64.7%
Common
ValueCountFrequency (%)
3
33.3%
) 3
33.3%
( 3
33.3%
Latin
ValueCountFrequency (%)
I 1
33.3%
C 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 224
94.9%
ASCII 12
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
은 10
 
4.5%
인 9
 
4.0%
지 9
 
4.0%
평 9
 
4.0%
업 8
 
3.6%
터 8
 
3.6%
센 7
 
3.1%
사 7
 
3.1%
서 6
 
2.7%
회 6
 
2.7%
Other values (80) 145
64.7%
ASCII
ValueCountFrequency (%)
3
25.0%
) 3
25.0%
( 3
25.0%
I 1
 
8.3%
C 1
 
8.3%
T 1
 
8.3%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2004-04-13 13:17:26
Maximum2024-04-24 08:57:55
2024-04-30T05:06:22.386792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:22.481097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
U
12 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 12
57.1%
I 9
42.9%

Length

2024-04-30T05:06:22.591193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:22.693960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 12
57.1%
i 9
42.9%

데이터갱신일자
Date

Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T05:06:22.766287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:06:22.868366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing21
Missing (%)100.0%
Memory size321.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean194271.42
Minimum191702.08
Maximum211542.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T05:06:22.965638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191702.08
5-th percentile191702.15
Q1192369.8
median193846.49
Q3194065.19
95-th percentile196273.19
Maximum211542.31
Range19840.237
Interquartile range (IQR)1695.3831

Descriptive statistics

Standard deviation4294.0536
Coefficient of variation (CV)0.022103373
Kurtosis16.775613
Mean194271.42
Median Absolute Deviation (MAD)730.12356
Skewness3.9828624
Sum3691157
Variance18438897
MonotonicityNot monotonic
2024-04-30T05:06:23.073134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
194029.235749604 2
 
9.5%
194101.134591972 2
 
9.5%
192369.802096828 2
 
9.5%
194576.61718897 2
 
9.5%
191702.077019611 1
 
4.8%
192283.890599209 1
 
4.8%
211542.314116941 1
 
4.8%
193770.74232664 1
 
4.8%
191702.159455982 1
 
4.8%
193954.663282499 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
191702.077019611 1
4.8%
191702.159455982 1
4.8%
191840.859543053 1
4.8%
192283.890599209 1
4.8%
192369.802096828 2
9.5%
192998.202204135 1
4.8%
193444.236044547 1
4.8%
193770.74232664 1
4.8%
193846.493626916 1
4.8%
193917.79591497 1
4.8%
ValueCountFrequency (%)
211542.314116941 1
4.8%
194576.61718897 2
9.5%
194101.134591972 2
9.5%
194029.235749604 2
9.5%
193954.663282499 1
4.8%
193917.79591497 1
4.8%
193846.493626916 1
4.8%
193770.74232664 1
4.8%
193444.236044547 1
4.8%
192998.202204135 1
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing2
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean455712.09
Minimum448273.11
Maximum458851.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-30T05:06:23.187513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448273.11
5-th percentile453625.41
Q1455776.02
median456163.76
Q3456296.23
95-th percentile457617.19
Maximum458851.96
Range10578.842
Interquartile range (IQR)520.20864

Descriptive statistics

Standard deviation2033.9173
Coefficient of variation (CV)0.0044631629
Kurtosis10.829755
Mean455712.09
Median Absolute Deviation (MAD)263.93793
Skewness-2.7863298
Sum8658529.7
Variance4136819.6
MonotonicityNot monotonic
2024-04-30T05:06:23.295347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
456185.615536089 2
 
9.5%
456224.94664771 2
 
9.5%
454995.088715206 2
 
9.5%
456427.701917957 2
 
9.5%
455932.109030751 1
 
4.8%
455722.787753208 1
 
4.8%
448273.114107211 1
 
4.8%
458851.956186038 1
 
4.8%
455932.140095298 1
 
4.8%
456090.249835128 1
 
4.8%
Other values (5) 5
23.8%
(Missing) 2
 
9.5%
ValueCountFrequency (%)
448273.114107211 1
4.8%
454220.110539279 1
4.8%
454995.088715206 2
9.5%
455722.787753208 1
4.8%
455829.250737703 1
4.8%
455932.109030751 1
4.8%
455932.140095298 1
4.8%
456090.249835128 1
4.8%
456163.763992789 1
4.8%
456185.615536089 2
9.5%
ValueCountFrequency (%)
458851.956186038 1
4.8%
457479.99522553 1
4.8%
456427.701917957 2
9.5%
456367.509113467 1
4.8%
456224.94664771 2
9.5%
456185.615536089 2
9.5%
456163.763992789 1
4.8%
456090.249835128 1
4.8%
455932.140095298 1
4.8%
455932.109030751 1
4.8%

법인구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
13 
법인
8 

Length

Max length4
Median length4
Mean length3.2380952
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
61.9%
법인 8
38.1%

Length

2024-04-30T05:06:23.411292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:23.503327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
61.9%
법인 8
38.1%

구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
무료
9 

Length

Max length4
Median length4
Mean length3.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
무료 9
42.9%

Length

2024-04-30T05:06:23.610059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:06:23.713756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
57.1%
무료 9
42.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
03110000200031100881120000120000428<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 구산동 191번지 1호 13통 7반서울특별시 은평구 갈현로11길 30 (구산동)<NA>서부장애인취업알선센타2004-04-13 13:17:26I2018-08-31 23:59:59.0<NA>191702.07702455932.109031법인무료
13110000200231100881120000120020530<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 역촌동 64번지 15호 7통 3반서울특별시 은평구 연서로5길 19 (역촌동)<NA>은성무료직업소개소2004-05-10 17:40:20I2018-08-31 23:59:59.0<NA>192283.890599455722.787753법인무료
23110000200731101111450000320070822<NA>1영업/정상20영업중<NA><NA><NA><NA>385 8715<NA><NA>서울특별시 은평구 진관동 산 38번지 48호<NA><NA>은평고령자취업알선센터2007-08-22 15:13:27I2018-08-31 23:59:59.0<NA><NA><NA>법인무료
33110000200731101141120000120070327<NA>3폐업40폐업20070725<NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 449번지 49호 힐탑오피텔 803서울특별시 강동구 천호대로 1073, 803호 (천호동,힐탑오피텔)<NA>은평여성전문취업센터2008-01-21 14:12:14I2018-08-31 23:59:59.0<NA>211542.314117448273.114107<NA>무료
4311000020073110114112000022007-06-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 385 8715<NA><NA>서울특별시 은평구 진관동 156번지 6호서울특별시 은평구 연서로 415 (진관동)122-200서울시립은평노인종합복지관2023-12-28 13:50:21U2022-11-01 21:00:00.0<NA>193770.742327458851.956186<NA><NA>
5311000020083110111145000012008-01-18<NA>1영업/정상20영업중<NA><NA><NA><NA>02 351 3982<NA><NA>서울특별시 은평구 구산동 191-1 서부장애인 종합복지관서울특별시 은평구 갈현로11길 30, 서부장애인 종합복지관 4층 직업문화팀호 (구산동)03428서부장애인취업센터2024-04-02 14:07:57U2023-12-04 00:04:00.0<NA>191702.159456455932.140095<NA><NA>
6311000020083110111145000032008-01-24<NA>1영업/정상20영업중<NA><NA><NA><NA>02 389 1976<NA><NA>서울특별시 은평구 녹번동 114번지 1호서울특별시 은평구 녹번로 76, 서울도시가스 강북지사 빌딩 (녹번동)03382은평여성인력개발센터2024-03-15 16:10:00U2023-12-02 23:07:00.0<NA>193954.663282456090.249835<NA><NA>
7311000020113110147145000012008-04-22<NA>1영업/정상20영업중<NA><NA><NA><NA>02 36723440<NA><NA>서울특별시 은평구 녹번동 7 서울혁신파크서울특별시 은평구 통일로 684, 서울혁신파크 참여동 101호 (녹번동)03371(사단법인)보건복지자원연구원 희망간병2023-12-01 10:09:20U2022-11-02 00:04:00.0<NA>194029.23575456185.615536<NA><NA>
83110000201231101551450000620120613<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA>122020서울특별시 은평구 녹번동 5번지 3층서울특별시 은평구 통일로 684 (녹번동)122020서울건설산업노동조합은평지부2018-02-11 11:43:11I2018-08-31 23:59:59.0<NA>194101.134592456224.946648법인무료
93110000201331101551450000620130605<NA>3폐업40폐업20151217<NA><NA><NA>02 389 8891<NA>122020서울특별시 은평구 녹번동 5번지서울특별시 은평구 통일로 684, 8동 2층 (녹번동, 서울인생이모작지원센터)122824서울인생이모작지원센터2015-12-17 10:06:35I2018-08-31 23:59:59.0<NA>194101.134592456224.946648법인무료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
113110000201531101551450000120150112<NA>3폐업40폐업20220617<NA><NA><NA>02 358 3333<NA><NA>서울특별시 은평구 신사동 24-52서울특별시 은평구 증산로23길 7, 3층 (신사동)03450은평시니어클럽2022-06-17 15:34:56U2021-12-05 23:09:00.0<NA>192369.802097454995.088715<NA><NA>
123110000201531101551450000220150112<NA>3폐업40폐업20161111<NA><NA><NA>02 584 5665<NA><NA><NA>서울특별시 은평구 통일로 684, 8동 1층 (녹번동)122828장년창업공유공동체2016-11-11 12:57:23I2018-08-31 23:59:59.0<NA>194576.617189456427.701918법인무료
13311000020203110217145000012013-05-22<NA>5제외/삭제/전출50타시군구이관2023-04-03<NA><NA><NA>02 20691125<NA><NA>서울특별시 은평구 녹번동 7번지 서울혁신파크서울특별시 은평구 통일로 684, 서울혁신파크 1동 313호 (녹번동)03371(사)빅이슈코리아2023-04-03 09:59:21U2022-12-04 00:05:00.0<NA>194029.23575456185.615536<NA><NA>
14311000020213110217145000012021-01-27<NA>1영업/정상20영업중<NA><NA><NA><NA>023882650<NA><NA>서울특별시 은평구 대조동 241 베르디움STAY1서울특별시 은평구 통일로 767, 상가1동 B118호 (대조동, 베르디움STAY1)03391대한노인회은평구지회2023-03-30 11:07:44U2022-12-04 00:01:00.0<NA><NA><NA><NA><NA>
153110000202131102171450000320210311<NA>3폐업40폐업20210609<NA><NA><NA>023828254<NA><NA><NA>서울특별시 은평구 통일로 691, 2층 (녹번동)03375삶터 위드잡서부지사2021-06-09 10:49:15U2021-06-11 02:40:00.0<NA>193917.795915456163.763993법인무료
16311000020213110217145000052021-05-18<NA>1영업/정상20영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산로23길 7, 4층 (신사동)03450은평어르신일자리센터2024-04-17 16:03:21U2023-12-03 23:09:00.0<NA>192369.802097454995.088715<NA><NA>
17311000020213110217145000062015-03-26<NA>1영업/정상20영업중<NA><NA><NA><NA>0222538254<NA><NA>서울특별시 은평구 불광동 311-13 메트로타워서울특별시 은평구 통일로 856, 메트로타워 3층 3008호 (불광동)03345삶터사회적협동조합2024-04-24 08:57:55U2023-12-03 22:06:00.0<NA>192998.202204457479.995226<NA><NA>
183110000202231102171450000320220510<NA>5제외/삭제/전출50타시군구이관20221028<NA><NA><NA>02 835 5412<NA><NA><NA>서울특별시 은평구 통일로 684, 민주노총본부 306호 (녹번동)03371한국의료복지 사회적협동조합연합회2022-10-28 16:37:18U2021-10-30 21:00:00.0<NA>194576.617189456427.701918<NA><NA>
193110000202231102171450000420220628<NA>1영업/정상20영업중<NA><NA><NA><NA>0231578808<NA><NA><NA>서울특별시 은평구 통일로 712-1, 4층 (불광동)03368(사)한국ICT패션뷰티산업협회2022-08-04 08:57:04U2021-12-08 00:06:00.0<NA>193846.493627456367.509113<NA><NA>
20311000020243110217145000012024-03-07<NA>1영업/정상20영업중<NA><NA><NA><NA>02 69510301<NA><NA><NA>서울특별시 은평구 녹번로1길 13, 우리장애인복지관 (녹번동)03380은평구립우리장애인복지관2024-03-07 14:55:57I2023-12-03 00:09:00.0<NA>193444.236045455829.250738<NA><NA>