Overview

Dataset statistics

Number of variables27
Number of observations65
Missing cells333
Missing cells (%)19.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory232.0 B

Variable types

Categorical13
Numeric4
DateTime4
Unsupported3
Text3

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),제조구분명,사업장부지용도구분명
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-19026/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (88.5%)Imbalance
휴업종료일자 is highly imbalanced (88.5%)Imbalance
재개업일자 is highly imbalanced (82.9%)Imbalance
소재지면적 is highly imbalanced (67.5%)Imbalance
인허가취소일자 has 65 (100.0%) missing valuesMissing
폐업일자 has 46 (70.8%) missing valuesMissing
전화번호 has 65 (100.0%) missing valuesMissing
소재지우편번호 has 65 (100.0%) missing valuesMissing
지번주소 has 5 (7.7%) missing valuesMissing
도로명주소 has 27 (41.5%) missing valuesMissing
도로명우편번호 has 46 (70.8%) missing valuesMissing
좌표정보(X) has 7 (10.8%) missing valuesMissing
좌표정보(Y) has 7 (10.8%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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

Reproduction

Analysis started2024-05-11 05:55:05.637964
Analysis finished2024-05-11 05:55:06.259131
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
3240000
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 65
100.0%

Length

2024-05-11T14:55:06.359284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:06.509382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 65
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.008324 × 1018
Minimum1.983324 × 1018
Maximum2.023324 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T14:55:06.692557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.983324 × 1018
5-th percentile1.989724 × 1018
Q12.001324 × 1018
median2.009324 × 1018
Q32.016324 × 1018
95-th percentile2.021324 × 1018
Maximum2.023324 × 1018
Range4.0000015 × 1016
Interquartile range (IQR)1.5000014 × 1016

Descriptive statistics

Standard deviation9.5000045 × 1015
Coefficient of variation (CV)0.0047303146
Kurtosis-0.22867259
Mean2.008324 × 1018
Median Absolute Deviation (MAD)8.0000066 × 1015
Skewness-0.51150936
Sum1.4138525 × 1018
Variance9.0250085 × 1031
MonotonicityStrictly increasing
2024-05-11T14:55:06.960952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1983324013902200001 1
 
1.5%
2016324020802200003 1
 
1.5%
2010324013902100077 1
 
1.5%
2010324013902100079 1
 
1.5%
2010324013902200000 1
 
1.5%
2011324013902100001 1
 
1.5%
2011324013902100002 1
 
1.5%
2011324013902200002 1
 
1.5%
2013324017102200001 1
 
1.5%
2014324020802100001 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
1983324013902200001 1
1.5%
1988324022702200001 1
1.5%
1989324007302100024 1
1.5%
1989324011902200023 1
1.5%
1991324011902111111 1
1.5%
1991324013902200027 1
1.5%
1996324020802200001 1
1.5%
1997324026602200001 1
1.5%
1998324013902100058 1
1.5%
2000324013902200002 1
1.5%
ValueCountFrequency (%)
2023324028802200001 1
1.5%
2023324028802100001 1
1.5%
2022324026602200001 1
1.5%
2021324026602200001 1
1.5%
2021324026602100001 1
1.5%
2020324026602100002 1
1.5%
2020324026602100001 1
1.5%
2019324025402200001 1
1.5%
2019324025402100001 1
1.5%
2018324022702200002 1
1.5%

인허가일자
Date

Distinct62
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum1978-12-01 00:00:00
Maximum2023-11-17 00:00:00
2024-05-11T14:55:07.204328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:07.458475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
1
42 
3
22 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
64.6%
3 22
33.8%
2 1
 
1.5%

Length

2024-05-11T14:55:07.662142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:07.830201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
64.6%
3 22
33.8%
2 1
 
1.5%

영업상태명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업/정상
42 
폐업
22 
휴업
 
1

Length

Max length5
Median length5
Mean length3.9384615
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 42
64.6%
폐업 22
33.8%
휴업 1
 
1.5%

Length

2024-05-11T14:55:08.007027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:08.166777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
64.6%
폐업 22
33.8%
휴업 1
 
1.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
1
42 
3
22 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
64.6%
3 22
33.8%
2 1
 
1.5%

Length

2024-05-11T14:55:08.374401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:08.529631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
64.6%
3 22
33.8%
2 1
 
1.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
영업중
42 
폐업
22 
휴업
 
1

Length

Max length3
Median length3
Mean length2.6461538
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 42
64.6%
폐업 22
33.8%
휴업 1
 
1.5%

Length

2024-05-11T14:55:08.688622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:08.840885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 42
64.6%
폐업 22
33.8%
휴업 1
 
1.5%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)84.2%
Missing46
Missing (%)70.8%
Memory size652.0 B
Minimum2009-06-25 00:00:00
Maximum2023-12-22 00:00:00
2024-05-11T14:55:08.981817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:09.167763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
64 
20170421
 
1

Length

Max length8
Median length4
Mean length4.0615385
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
98.5%
20170421 1
 
1.5%

Length

2024-05-11T14:55:09.385413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:09.549425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
98.5%
20170421 1
 
1.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
64 
20190420
 
1

Length

Max length8
Median length4
Mean length4.0615385
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 64
98.5%
20190420 1
 
1.5%

Length

2024-05-11T14:55:09.732348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:09.895064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
98.5%
20190420 1
 
1.5%

재개업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
62 
20111115
 
1
20090601
 
1
20090912
 
1

Length

Max length8
Median length4
Mean length4.1846154
Min length4

Unique

Unique3 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
95.4%
20111115 1
 
1.5%
20090601 1
 
1.5%
20090912 1
 
1.5%

Length

2024-05-11T14:55:10.104959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:10.304675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
95.4%
20111115 1
 
1.5%
20090601 1
 
1.5%
20090912 1
 
1.5%

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

소재지면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
56 
1.0
 
5
21.0
 
1
630.0
 
1
6280.8
 
1

Length

Max length6
Median length4
Mean length3.9846154
Min length3

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row1.0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 56
86.2%
1.0 5
 
7.7%
21.0 1
 
1.5%
630.0 1
 
1.5%
6280.8 1
 
1.5%
719.0 1
 
1.5%

Length

2024-05-11T14:55:10.478950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:10.656936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
86.2%
1.0 5
 
7.7%
21.0 1
 
1.5%
630.0 1
 
1.5%
6280.8 1
 
1.5%
719.0 1
 
1.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing65
Missing (%)100.0%
Memory size717.0 B

지번주소
Text

MISSING 

Distinct58
Distinct (%)96.7%
Missing5
Missing (%)7.7%
Memory size652.0 B
2024-05-11T14:55:10.997259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31.5
Mean length22.066667
Min length17

Characters and Unicode

Total characters1324
Distinct characters98
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 강동구 둔촌동 522-9
2nd row서울특별시 강동구 성내동 471-5
3rd row서울특별시 강동구 성내동 451
4th row서울특별시 강동구 명일동 47-4
5th row서울특별시 강동구 천호동 428-1
ValueCountFrequency (%)
서울특별시 60
22.0%
강동구 60
22.0%
천호동 14
 
5.1%
성내동 9
 
3.3%
상일동 9
 
3.3%
고덕동 8
 
2.9%
길동 6
 
2.2%
둔촌동 5
 
1.8%
강일동 4
 
1.5%
산 3
 
1.1%
Other values (78) 95
34.8%
2024-05-11T14:55:11.580606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
249
18.8%
동 129
 
9.7%
강 71
 
5.4%
서 63
 
4.8%
울 61
 
4.6%
구 61
 
4.6%
시 61
 
4.6%
별 60
 
4.5%
특 60
 
4.5%
4 48
 
3.6%
Other values (88) 461
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 797
60.2%
Space Separator 249
 
18.8%
Decimal Number 232
 
17.5%
Dash Punctuation 42
 
3.2%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 129
16.2%
강 71
 
8.9%
서 63
 
7.9%
울 61
 
7.7%
구 61
 
7.7%
시 61
 
7.7%
별 60
 
7.5%
특 60
 
7.5%
일 17
 
2.1%
호 15
 
1.9%
Other values (75) 199
25.0%
Decimal Number
ValueCountFrequency (%)
4 48
20.7%
1 36
15.5%
5 33
14.2%
2 28
12.1%
3 25
10.8%
7 15
 
6.5%
9 14
 
6.0%
0 14
 
6.0%
8 13
 
5.6%
6 6
 
2.6%
Space Separator
ValueCountFrequency (%)
249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 797
60.2%
Common 527
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 129
16.2%
강 71
 
8.9%
서 63
 
7.9%
울 61
 
7.7%
구 61
 
7.7%
시 61
 
7.7%
별 60
 
7.5%
특 60
 
7.5%
일 17
 
2.1%
호 15
 
1.9%
Other values (75) 199
25.0%
Common
ValueCountFrequency (%)
249
47.2%
4 48
 
9.1%
- 42
 
8.0%
1 36
 
6.8%
5 33
 
6.3%
2 28
 
5.3%
3 25
 
4.7%
7 15
 
2.8%
9 14
 
2.7%
0 14
 
2.7%
Other values (3) 23
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 797
60.2%
ASCII 527
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
249
47.2%
4 48
 
9.1%
- 42
 
8.0%
1 36
 
6.8%
5 33
 
6.3%
2 28
 
5.3%
3 25
 
4.7%
7 15
 
2.8%
9 14
 
2.7%
0 14
 
2.7%
Other values (3) 23
 
4.4%
Hangul
ValueCountFrequency (%)
동 129
16.2%
강 71
 
8.9%
서 63
 
7.9%
울 61
 
7.7%
구 61
 
7.7%
시 61
 
7.7%
별 60
 
7.5%
특 60
 
7.5%
일 17
 
2.1%
호 15
 
1.9%
Other values (75) 199
25.0%

도로명주소
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing27
Missing (%)41.5%
Memory size652.0 B
2024-05-11T14:55:11.931972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length35.5
Mean length29.157895
Min length22

Characters and Unicode

Total characters1108
Distinct characters109
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 강동구 천호대로 1033, 강동빌딩 (천호동)
2nd row서울특별시 강동구 올림픽로 674, 로석빌딩 (천호동)
3rd row서울특별시 강동구 올림픽로 831, 서울케어링하우스강동센터 (암사동)
4th row서울특별시 강동구 강동대로 143-16 (성내동)
5th row서울특별시 강동구 상암로 417 (상일동)
ValueCountFrequency (%)
서울특별시 38
 
17.7%
강동구 38
 
17.7%
상일동 8
 
3.7%
천호동 8
 
3.7%
성내동 5
 
2.3%
천호대로 5
 
2.3%
고덕동 5
 
2.3%
아리수로87길 3
 
1.4%
고덕로 3
 
1.4%
지하 3
 
1.4%
Other values (80) 99
46.0%
2024-05-11T14:55:12.548204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
 
16.0%
동 91
 
8.2%
강 49
 
4.4%
서 41
 
3.7%
시 40
 
3.6%
구 40
 
3.6%
로 39
 
3.5%
울 39
 
3.5%
) 38
 
3.4%
( 38
 
3.4%
Other values (99) 516
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
62.6%
Space Separator 177
 
16.0%
Decimal Number 140
 
12.6%
Close Punctuation 38
 
3.4%
Open Punctuation 38
 
3.4%
Other Punctuation 18
 
1.6%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 91
 
13.1%
강 49
 
7.1%
서 41
 
5.9%
시 40
 
5.8%
구 40
 
5.8%
로 39
 
5.6%
울 39
 
5.6%
별 38
 
5.5%
특 38
 
5.5%
일 18
 
2.6%
Other values (84) 261
37.6%
Decimal Number
ValueCountFrequency (%)
1 28
20.0%
3 20
14.3%
6 14
10.0%
8 12
8.6%
2 12
8.6%
9 12
8.6%
0 12
8.6%
5 10
 
7.1%
7 10
 
7.1%
4 10
 
7.1%
Space Separator
ValueCountFrequency (%)
177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
62.6%
Common 414
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 91
 
13.1%
강 49
 
7.1%
서 41
 
5.9%
시 40
 
5.8%
구 40
 
5.8%
로 39
 
5.6%
울 39
 
5.6%
별 38
 
5.5%
특 38
 
5.5%
일 18
 
2.6%
Other values (84) 261
37.6%
Common
ValueCountFrequency (%)
177
42.8%
) 38
 
9.2%
( 38
 
9.2%
1 28
 
6.8%
3 20
 
4.8%
, 18
 
4.3%
6 14
 
3.4%
8 12
 
2.9%
2 12
 
2.9%
9 12
 
2.9%
Other values (5) 45
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
62.6%
ASCII 414
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
42.8%
) 38
 
9.2%
( 38
 
9.2%
1 28
 
6.8%
3 20
 
4.8%
, 18
 
4.3%
6 14
 
3.4%
8 12
 
2.9%
2 12
 
2.9%
9 12
 
2.9%
Other values (5) 45
 
10.9%
Hangul
ValueCountFrequency (%)
동 91
 
13.1%
강 49
 
7.1%
서 41
 
5.9%
시 40
 
5.8%
구 40
 
5.8%
로 39
 
5.6%
울 39
 
5.6%
별 38
 
5.5%
특 38
 
5.5%
일 18
 
2.6%
Other values (84) 261
37.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing46
Missing (%)70.8%
Infinite0
Infinite (%)0.0%
Mean5297.8947
Minimum5202
Maximum5411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T14:55:12.780871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5202
5-th percentile5221.8
Q15244.5
median5290
Q35331.5
95-th percentile5398.4
Maximum5411
Range209
Interquartile range (IQR)87

Descriptive statistics

Standard deviation60.083178
Coefficient of variation (CV)0.011340954
Kurtosis-0.79573764
Mean5297.8947
Median Absolute Deviation (MAD)45
Skewness0.26114666
Sum100660
Variance3609.9883
MonotonicityNot monotonic
2024-05-11T14:55:13.025145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5328 2
 
3.1%
5304 1
 
1.5%
5236 1
 
1.5%
5250 1
 
1.5%
5269 1
 
1.5%
5202 1
 
1.5%
5224 1
 
1.5%
5290 1
 
1.5%
5231 1
 
1.5%
5335 1
 
1.5%
Other values (8) 8
 
12.3%
(Missing) 46
70.8%
ValueCountFrequency (%)
5202 1
1.5%
5224 1
1.5%
5231 1
1.5%
5236 1
1.5%
5239 1
1.5%
5250 1
1.5%
5269 1
1.5%
5278 1
1.5%
5288 1
1.5%
5290 1
1.5%
ValueCountFrequency (%)
5411 1
1.5%
5397 1
1.5%
5368 1
1.5%
5355 1
1.5%
5335 1
1.5%
5328 2
3.1%
5327 1
1.5%
5304 1
1.5%
5290 1
1.5%
5288 1
1.5%

사업장명
Text

Distinct58
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
2024-05-11T14:55:13.327137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length9.4461538
Min length4

Characters and Unicode

Total characters614
Distinct characters154
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

Unique51 ?
Unique (%)78.5%

Sample

1st row한국전력공사 강동지점
2nd row(주)제원에셋매니지먼트
3rd row엘에이관광호텔
4th row농협중앙회
5th row명일프라자
ValueCountFrequency (%)
서울교통공사 3
 
3.5%
천호점 3
 
3.5%
대신가스 2
 
2.4%
주식회사 2
 
2.4%
주)이마트 2
 
2.4%
강동소방서 2
 
2.4%
5호선 2
 
2.4%
강동성심병원 2
 
2.4%
성내가스상사 2
 
2.4%
강동경희대학교병원 2
 
2.4%
Other values (62) 63
74.1%
2024-05-11T14:55:13.904431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
4.4%
) 27
 
4.4%
( 27
 
4.4%
동 20
 
3.3%
20
 
3.3%
스 19
 
3.1%
강 18
 
2.9%
서 16
 
2.6%
지 13
 
2.1%
에 12
 
2.0%
Other values (144) 415
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
85.5%
Close Punctuation 27
 
4.4%
Open Punctuation 27
 
4.4%
Space Separator 20
 
3.3%
Decimal Number 11
 
1.8%
Uppercase Letter 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
5.1%
동 20
 
3.8%
스 19
 
3.6%
강 18
 
3.4%
서 16
 
3.0%
지 13
 
2.5%
에 12
 
2.3%
대 12
 
2.3%
가 11
 
2.1%
원 11
 
2.1%
Other values (135) 366
69.7%
Decimal Number
ValueCountFrequency (%)
1 6
54.5%
9 3
27.3%
5 2
 
18.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
K 1
25.0%
G 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
85.5%
Common 85
 
13.8%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
5.1%
동 20
 
3.8%
스 19
 
3.6%
강 18
 
3.4%
서 16
 
3.0%
지 13
 
2.5%
에 12
 
2.3%
대 12
 
2.3%
가 11
 
2.1%
원 11
 
2.1%
Other values (135) 366
69.7%
Common
ValueCountFrequency (%)
) 27
31.8%
( 27
31.8%
20
23.5%
1 6
 
7.1%
9 3
 
3.5%
5 2
 
2.4%
Latin
ValueCountFrequency (%)
S 2
50.0%
K 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
85.5%
ASCII 89
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
5.1%
동 20
 
3.8%
스 19
 
3.6%
강 18
 
3.4%
서 16
 
3.0%
지 13
 
2.5%
에 12
 
2.3%
대 12
 
2.3%
가 11
 
2.1%
원 11
 
2.1%
Other values (135) 366
69.7%
ASCII
ValueCountFrequency (%)
) 27
30.3%
( 27
30.3%
20
22.5%
1 6
 
6.7%
9 3
 
3.4%
S 2
 
2.2%
5 2
 
2.2%
K 1
 
1.1%
G 1
 
1.1%

최종수정일자
Date

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2001-06-14 00:00:00
Maximum2024-04-29 14:23:25
2024-05-11T14:55:14.155011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:14.421428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
U
39 
I
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 39
60.0%
I 26
40.0%

Length

2024-05-11T14:55:14.667906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:15.106078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 39
60.0%
i 26
40.0%

데이터갱신일자
Date

Distinct37
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T14:55:15.266196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:55:15.496994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

업태구분명
Categorical

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
제조
46 
저장소
11 
판매
8 

Length

Max length3
Median length2
Mean length2.1692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 46
70.8%
저장소 11
 
16.9%
판매 8
 
12.3%

Length

2024-05-11T14:55:15.702703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:15.869594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 46
70.8%
저장소 11
 
16.9%
판매 8
 
12.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)87.9%
Missing7
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean212507.82
Minimum210369.07
Maximum215500.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T14:55:16.064015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210369.07
5-th percentile210581.84
Q1211022.94
median212187.21
Q3213804.74
95-th percentile215303.99
Maximum215500.86
Range5131.7899
Interquartile range (IQR)2781.7924

Descriptive statistics

Standard deviation1594.5152
Coefficient of variation (CV)0.0075033245
Kurtosis-1.1452321
Mean212507.82
Median Absolute Deviation (MAD)1217.8818
Skewness0.44955258
Sum12325454
Variance2542478.6
MonotonicityNot monotonic
2024-05-11T14:55:16.339132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213839.356195548 3
 
4.6%
214787.194258691 2
 
3.1%
212987.26073707 2
 
3.1%
210985.903307573 2
 
3.1%
215423.76462869 2
 
3.1%
211883.6883558 2
 
3.1%
215500.859213309 1
 
1.5%
214373.250411216 1
 
1.5%
211004.466691043 1
 
1.5%
210369.06933223 1
 
1.5%
Other values (41) 41
63.1%
(Missing) 7
 
10.8%
ValueCountFrequency (%)
210369.06933223 1
1.5%
210369.556726467 1
1.5%
210566.875626134 1
1.5%
210584.479691364 1
1.5%
210672.431145962 1
1.5%
210788.873382807 1
1.5%
210908.411401929 1
1.5%
210920.862364917 1
1.5%
210929.919693661 1
1.5%
210967.904977713 1
1.5%
ValueCountFrequency (%)
215500.859213309 1
1.5%
215423.76462869 2
3.1%
215282.849907053 1
1.5%
215011.959702911 1
1.5%
215001.440539823 1
1.5%
214867.625107828 1
1.5%
214787.194258691 2
3.1%
214687.925330994 1
1.5%
214373.250411216 1
1.5%
213979.485510099 1
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)87.9%
Missing7
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean449088.42
Minimum446263.36
Maximum451795.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2024-05-11T14:55:16.571712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446263.36
5-th percentile447041.87
Q1448187.77
median448857.85
Q3450193.84
95-th percentile451471.23
Maximum451795.05
Range5531.6931
Interquartile range (IQR)2006.0639

Descriptive statistics

Standard deviation1391.0904
Coefficient of variation (CV)0.0030975868
Kurtosis-0.78598366
Mean449088.42
Median Absolute Deviation (MAD)1260.4104
Skewness0.13171537
Sum26047128
Variance1935132.4
MonotonicityNot monotonic
2024-05-11T14:55:16.815600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450118.261707983 3
 
4.6%
451689.513375361 2
 
3.1%
447505.011652735 2
 
3.1%
447475.232783748 2
 
3.1%
449636.964226068 2
 
3.1%
448216.574876094 2
 
3.1%
450436.692185502 1
 
1.5%
451795.050924364 1
 
1.5%
448897.237548386 1
 
1.5%
449300.273373463 1
 
1.5%
Other values (41) 41
63.1%
(Missing) 7
 
10.8%
ValueCountFrequency (%)
446263.35780719 1
1.5%
446851.325224794 1
1.5%
446899.094121557 1
1.5%
447067.06640922 1
1.5%
447197.303208719 1
1.5%
447311.251579469 1
1.5%
447355.928476719 1
1.5%
447402.629676369 1
1.5%
447475.232783748 2
3.1%
447505.011652735 2
3.1%
ValueCountFrequency (%)
451795.050924364 1
1.5%
451689.513375361 2
3.1%
451432.705656964 1
1.5%
451268.594181235 1
1.5%
451078.579292321 1
1.5%
450825.929066256 1
1.5%
450677.533442224 1
1.5%
450626.949692536 1
1.5%
450553.108231832 1
1.5%
450487.375182791 1
1.5%

제조구분명
Categorical

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
33 
냉동
15 
일반
12 
충전
 
3
특정
 
2

Length

Max length4
Median length4
Mean length3.0153846
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
50.8%
냉동 15
23.1%
일반 12
 
18.5%
충전 3
 
4.6%
특정 2
 
3.1%

Length

2024-05-11T14:55:17.030110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:17.222566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
50.8%
냉동 15
23.1%
일반 12
 
18.5%
충전 3
 
4.6%
특정 2
 
3.1%

사업장부지용도구분명
Categorical

Distinct9
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
<NA>
33 
주거용
8 
상업.업무용
6 
업무용
5 
기타
5 
Other values (4)
8 

Length

Max length6
Median length4
Mean length3.8
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
50.8%
주거용 8
 
12.3%
상업.업무용 6
 
9.2%
업무용 5
 
7.7%
기타 5
 
7.7%
상업용 3
 
4.6%
연립 2
 
3.1%
지정되지않음 2
 
3.1%
공공용지등 1
 
1.5%

Length

2024-05-11T14:55:17.444092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:17.651678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
50.8%
주거용 8
 
12.3%
상업.업무용 6
 
9.2%
업무용 5
 
7.7%
기타 5
 
7.7%
상업용 3
 
4.6%
연립 2
 
3.1%
지정되지않음 2
 
3.1%
공공용지등 1
 
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
03240000198332401390220000119830801<NA>3폐업3폐업20190621<NA><NA><NA><NA>1.0<NA>서울특별시 강동구 둔촌동 522-9<NA><NA>한국전력공사 강동지점2019-12-13 16:07:25U2019-12-15 02:40:00.0제조211914.468779446851.325225냉동업무용
13240000198832402270220000119880626<NA>3폐업3폐업20221017<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호대로 1033, 강동빌딩 (천호동)5335(주)제원에셋매니지먼트2022-11-08 15:54:29U2021-10-31 23:00:00.0제조211148.708405448411.952348<NA><NA>
23240000198932400730210002419890829<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 471-5<NA><NA>엘에이관광호텔2003-08-14 00:00:00I2018-08-31 23:59:59.0제조<NA><NA>특정상업용
33240000198932401190220002319890720<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 451<NA><NA>농협중앙회2005-12-19 00:00:00I2018-08-31 23:59:59.0제조210566.875626447402.629676냉동상업용
43240000199132401190211111119911230<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 47-4<NA><NA>명일프라자2006-12-14 00:00:00I2018-08-31 23:59:59.0제조213640.278267450219.030003특정업무용
53240000199132401390220002719911223<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 428-1<NA><NA>오복빌딩2007-03-06 00:00:00I2018-08-31 23:59:59.0제조210920.862365448644.456793냉동기타
63240000199632402080220000119961125<NA>3폐업3폐업20140527<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 올림픽로 674, 로석빌딩 (천호동)5327호산기업(주)2018-04-06 10:49:58I2018-08-31 23:59:59.0제조210967.904978448818.465138냉동<NA>
73240000199732402660220000119970114<NA>3폐업3폐업20210503<NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 506-7 서울케어링하우스강동센터서울특별시 강동구 올림픽로 831, 서울케어링하우스강동센터 (암사동)5239광림통상(주)2021-05-24 09:51:46I2021-05-26 00:22:56.0제조211327.594406450329.344904냉동상업.업무용
83240000199832401390210005819850611<NA>3폐업3폐업20090921<NA><NA><NA><NA>21.0<NA>서울특별시 강동구 길동 345-11<NA><NA>대신가스2009-09-21 09:41:09I2018-08-31 23:59:59.0판매212642.926543448759.292194<NA>주거용
93240000200032401390220000220000427<NA>3폐업3폐업20111115<NA><NA>20111115<NA>1.0<NA>서울특별시 강동구 성내동 459-3서울특별시 강동구 강동대로 143-16 (성내동)<NA>제일제당(주) 빕스올림픽점2018-04-06 10:47:16I2018-08-31 23:59:59.0제조210788.873383447197.303209냉동상업용
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)제조구분명사업장부지용도구분명
553240000201832402270220000220180110<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 691-8 고덕119안전센타서울특별시 강동구 양재대로156길 133, 고덕119안전센터 (고덕동)5231강동소방서(고덕119안전센터)2023-01-05 11:02:02U2022-12-01 00:07:00.0제조213351.574864450553.108232<NA><NA>
563240000201932402540210000120191216<NA>1영업/정상1영업중<NA><NA><NA><NA><NA>719.0<NA>서울특별시 강동구 상일동 443-9 상일동 수소충전소서울특별시 강동구 천호대로 1458, 상일동 수소충전소 (상일동)5290지에스칼텍스(주) 강동수소충전소2022-11-07 09:46:48U2021-11-01 00:09:00.0제조215001.44054449232.629213<NA><NA>
573240000201932402540220000120191018<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 212 고덕그라시움아파트서울특별시 강동구 고덕로 333, 자동집하시설 지하3층동 (고덕동, 고덕그라시움아파트)5224고덕 그라시움 아파트2022-09-13 16:41:18U2021-12-08 23:05:00.0제조214687.925331450626.949693<NA><NA>
583240000202032402660210000120200226<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 산 22-14<NA><NA>서울특별시 강동구 5호선 강일역2021-12-09 16:48:14U2021-12-11 02:40:00.0제조215500.859213450436.692186냉동<NA>
59324000020203240266021000022020-02-28<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 35-1서울특별시 강동구 아리수로87길 206 (고덕동)5202파주에너지서비스(주) 강동연료전지2024-01-31 15:04:58U2023-12-02 00:02:00.0저장소214373.250411451795.050924<NA><NA>
60324000020213240266021000012021-04-26<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 명일동 46-4 신세계이마트명일점서울특별시 강동구 고덕로 276, 신세계이마트명일점 (명일동)5269(주)이마트 명일점2024-04-16 11:31:31U2023-12-03 23:08:00.0제조213700.877715450278.100931<NA><NA>
613240000202132402660220000120210721<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 481-9 광나루수난구조대서울특별시 강동구 선사로 83-19, 광나루수난구조대 (천호동)5250서울특별시119특수구조단(광나루수난구조대)2021-12-09 16:59:13U2021-12-11 02:40:00.0제조210369.556726449117.060435충전<NA>
623240000202232402660220000120220707<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 400 강동 현대홈타운서울특별시 강동구 고덕로27길 36 (암사동, 강동 현대홈타운)5236서울특별시도시기반시설본부2022-07-08 09:54:21I2021-12-06 23:02:00.0제조212199.285662450487.375183<NA><NA>
63324000020233240288021000012023-02-15<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 10-4, 30-9, 112-1, 33-1, 33-2번지<NA><NA>고덕청정에너지(주)2024-02-08 10:55:17U2023-12-01 23:01:00.0저장소<NA><NA><NA><NA>
64324000020233240288022000012023-11-17<NA>1영업/정상1영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 485-29<NA><NA>서울경찰청 한강경찰대(광나루센터)2024-04-29 14:23:25U2023-12-05 00:01:00.0제조210369.069332449300.273373<NA><NA>