Overview

Dataset statistics

Number of variables30
Number of observations24
Missing cells224
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory263.5 B

Variable types

Categorical9
Numeric5
DateTime3
Unsupported9
Text4

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),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-18515/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (58.5%)Imbalance
영업상태명 is highly imbalanced (58.5%)Imbalance
상세영업상태코드 is highly imbalanced (58.5%)Imbalance
상세영업상태명 is highly imbalanced (58.5%)Imbalance
폐업일자 is highly imbalanced (62.9%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 2 (8.3%) missing valuesMissing
소재지우편번호 has 24 (100.0%) missing valuesMissing
도로명우편번호 has 6 (25.0%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
축산물가공업구분명 has 24 (100.0%) missing valuesMissing
축산일련번호 has 24 (100.0%) missing valuesMissing
총인원 has 24 (100.0%) 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
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
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 6 (25.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:28:00.841992
Analysis finished2024-05-11 06:28:01.415577
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3130000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 24
100.0%

Length

2024-05-11T15:28:01.527067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:01.703190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 24
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.13 × 1017
Minimum3.13 × 1017
Maximum3.13 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:28:01.879359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.13 × 1017
5-th percentile3.13 × 1017
Q13.13 × 1017
median3.13 × 1017
Q33.13 × 1017
95-th percentile3.13 × 1017
Maximum3.13 × 1017
Range180000
Interquartile range (IQR)92480

Descriptive statistics

Standard deviation60097.056
Coefficient of variation (CV)1.9200337 × 10-13
Kurtosis-1.1609373
Mean3.13 × 1017
Median Absolute Deviation (MAD)49984
Skewness-0.45918309
Sum7.512 × 1018
Variance3.6116562 × 109
MonotonicityStrictly increasing
2024-05-11T15:28:02.182163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
313000000820050001 1
 
4.2%
313000000820180001 1
 
4.2%
313000000820230001 1
 
4.2%
313000000820220003 1
 
4.2%
313000000820220002 1
 
4.2%
313000000820220001 1
 
4.2%
313000000820210001 1
 
4.2%
313000000820200003 1
 
4.2%
313000000820200002 1
 
4.2%
313000000820200001 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
313000000820050001 1
4.2%
313000000820050002 1
4.2%
313000000820060001 1
4.2%
313000000820060002 1
4.2%
313000000820080001 1
4.2%
313000000820100001 1
4.2%
313000000820110001 1
4.2%
313000000820110002 1
4.2%
313000000820140001 1
4.2%
313000000820140002 1
4.2%
ValueCountFrequency (%)
313000000820230001 1
4.2%
313000000820220003 1
4.2%
313000000820220002 1
4.2%
313000000820220001 1
4.2%
313000000820210001 1
4.2%
313000000820200003 1
4.2%
313000000820200002 1
4.2%
313000000820200001 1
4.2%
313000000820190001 1
4.2%
313000000820180002 1
4.2%

인허가일자
Date

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2005-03-04 00:00:00
Maximum2023-03-14 00:00:00
2024-05-11T15:28:02.390695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:02.603380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
21 
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
87.5%
3 2
 
8.3%
4 1
 
4.2%

Length

2024-05-11T15:28:02.839866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:03.014119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
87.5%
3 2
 
8.3%
4 1
 
4.2%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
21 
폐업
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5.125
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
87.5%
폐업 2
 
8.3%
취소/말소/만료/정지/중지 1
 
4.2%

Length

2024-05-11T15:28:03.238933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:03.420754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
87.5%
폐업 2
 
8.3%
취소/말소/만료/정지/중지 1
 
4.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
21 
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 21
87.5%
2 2
 
8.3%
4 1
 
4.2%

Length

2024-05-11T15:28:03.600659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:03.765698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
87.5%
2 2
 
8.3%
4 1
 
4.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
정상
21 
폐업
 
2
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
정상 21
87.5%
폐업 2
 
8.3%
말소 1
 
4.2%

Length

2024-05-11T15:28:03.943969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:04.094691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 21
87.5%
폐업 2
 
8.3%
말소 1
 
4.2%

폐업일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
20050719
 
1
20100422
 
1
20210422
 
1

Length

Max length8
Median length4
Mean length4.5
Min length4

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row<NA>
2nd row20050719
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
20050719 1
 
4.2%
20100422 1
 
4.2%
20210422 1
 
4.2%

Length

2024-05-11T15:28:04.310623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:04.518544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
20050719 1
 
4.2%
20100422 1
 
4.2%
20210422 1
 
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Memory size324.0 B
2024-05-11T15:28:04.779541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length8.2272727
Min length7

Characters and Unicode

Total characters181
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

Unique17 ?
Unique (%)77.3%

Sample

1st row3331490
2nd row3141-8377
3rd row7073077
4th row7073077
5th row23220312
ValueCountFrequency (%)
8518122 3
 
13.6%
7073077 2
 
9.1%
23223024 1
 
4.5%
3331490 1
 
4.5%
02-713-3938 1
 
4.5%
1800-5878 1
 
4.5%
3035585 1
 
4.5%
02-782-5600 1
 
4.5%
3329815 1
 
4.5%
7072985 1
 
4.5%
Other values (9) 9
40.9%
2024-05-11T15:28:05.414137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 27
14.9%
3 26
14.4%
0 21
11.6%
1 20
11.0%
7 19
10.5%
5 18
9.9%
8 16
8.8%
- 12
6.6%
6 11
6.1%
9 6
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 169
93.4%
Dash Punctuation 12
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
16.0%
3 26
15.4%
0 21
12.4%
1 20
11.8%
7 19
11.2%
5 18
10.7%
8 16
9.5%
6 11
6.5%
9 6
 
3.6%
4 5
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 27
14.9%
3 26
14.4%
0 21
11.6%
1 20
11.0%
7 19
10.5%
5 18
9.9%
8 16
8.8%
- 12
6.6%
6 11
6.1%
9 6
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 27
14.9%
3 26
14.4%
0 21
11.6%
1 20
11.0%
7 19
10.5%
5 18
9.9%
8 16
8.8%
- 12
6.6%
6 11
6.1%
9 6
 
3.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.446667
Minimum0
Maximum437
Zeros6
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:28:05.650189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.8975
median32.94
Q375.36
95-th percentile266.7
Maximum437
Range437
Interquartile range (IQR)70.4625

Descriptive statistics

Standard deviation101.47111
Coefficient of variation (CV)1.6786883
Kurtosis9.0024942
Mean60.446667
Median Absolute Deviation (MAD)32.94
Skewness2.9357893
Sum1450.72
Variance10296.386
MonotonicityNot monotonic
2024-05-11T15:28:05.857892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6
25.0%
40.0 3
12.5%
10.0 2
 
8.3%
77.0 1
 
4.2%
297.0 1
 
4.2%
76.44 1
 
4.2%
55.26 1
 
4.2%
7.61 1
 
4.2%
20.0 1
 
4.2%
60.0 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0.0 6
25.0%
6.53 1
 
4.2%
7.61 1
 
4.2%
10.0 2
 
8.3%
20.0 1
 
4.2%
25.88 1
 
4.2%
40.0 3
12.5%
55.26 1
 
4.2%
60.0 1
 
4.2%
75.0 1
 
4.2%
ValueCountFrequency (%)
437.0 1
 
4.2%
297.0 1
 
4.2%
95.0 1
 
4.2%
78.0 1
 
4.2%
77.0 1
 
4.2%
76.44 1
 
4.2%
75.0 1
 
4.2%
60.0 1
 
4.2%
55.26 1
 
4.2%
40.0 3
12.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지번주소
Text

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:28:06.150650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length23.541667
Min length17

Characters and Unicode

Total characters565
Distinct characters48
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

Unique14 ?
Unique (%)58.3%

Sample

1st row서울특별시 마포구 성산동 ***-*번지 이안상암*차 ****호
2nd row서울특별시 마포구 망원동 ***-**번지
3rd row서울특별시 마포구 도화동 ***
4th row서울특별시 마포구 도화동 ***
5th row서울특별시 마포구 합정동 ***-*
ValueCountFrequency (%)
서울특별시 24
20.5%
마포구 24
20.5%
20
17.1%
호 13
11.1%
도화동 5
 
4.3%
공덕동 4
 
3.4%
망원동 4
 
3.4%
번지 4
 
3.4%
성산동 3
 
2.6%
합정동 3
 
2.6%
Other values (12) 13
11.1%
2024-05-11T15:28:06.798873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 137
24.2%
96
17.0%
동 27
 
4.8%
마 26
 
4.6%
서 26
 
4.6%
포 25
 
4.4%
시 24
 
4.2%
별 24
 
4.2%
구 24
 
4.2%
특 24
 
4.2%
Other values (38) 132
23.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 318
56.3%
Other Punctuation 137
24.2%
Space Separator 96
 
17.0%
Dash Punctuation 14
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
8.5%
마 26
 
8.2%
서 26
 
8.2%
포 25
 
7.9%
시 24
 
7.5%
별 24
 
7.5%
구 24
 
7.5%
특 24
 
7.5%
울 24
 
7.5%
호 13
 
4.1%
Other values (35) 81
25.5%
Other Punctuation
ValueCountFrequency (%)
* 137
100.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 318
56.3%
Common 247
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
8.5%
마 26
 
8.2%
서 26
 
8.2%
포 25
 
7.9%
시 24
 
7.5%
별 24
 
7.5%
구 24
 
7.5%
특 24
 
7.5%
울 24
 
7.5%
호 13
 
4.1%
Other values (35) 81
25.5%
Common
ValueCountFrequency (%)
* 137
55.5%
96
38.9%
- 14
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 318
56.3%
ASCII 247
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 137
55.5%
96
38.9%
- 14
 
5.7%
Hangul
ValueCountFrequency (%)
동 27
 
8.5%
마 26
 
8.2%
서 26
 
8.2%
포 25
 
7.9%
시 24
 
7.5%
별 24
 
7.5%
구 24
 
7.5%
특 24
 
7.5%
울 24
 
7.5%
호 13
 
4.1%
Other values (35) 81
25.5%

도로명주소
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:28:07.146836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length36.166667
Min length24

Characters and Unicode

Total characters868
Distinct characters84
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)87.5%

Sample

1st row서울특별시 마포구 월드컵로 ***, **층 ****호 (성산동, 이안상암*차)
2nd row서울특별시 마포구 희우정로 *** (망원동)
3rd row서울특별시 마포구 독막로 *** (도화동, 마스터즈타워 ****호)
4th row서울특별시 마포구 독막로 *** (도화동,마스터즈타워 ****호)
5th row서울특별시 마포구 독막로 ** (합정동,*층)
ValueCountFrequency (%)
서울특별시 24
14.5%
24
14.5%
마포구 24
14.5%
호 16
 
9.7%
층 12
 
7.3%
독막로 5
 
3.0%
공덕동 4
 
2.4%
망원동 4
 
2.4%
도화동 4
 
2.4%
한국사회복지회관 3
 
1.8%
Other values (32) 45
27.3%
2024-05-11T15:28:07.759341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 146
16.8%
141
 
16.2%
마 34
 
3.9%
포 30
 
3.5%
동 29
 
3.3%
, 27
 
3.1%
서 26
 
3.0%
( 24
 
2.8%
) 24
 
2.8%
울 24
 
2.8%
Other values (74) 363
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 503
57.9%
Other Punctuation 173
 
19.9%
Space Separator 141
 
16.2%
Open Punctuation 24
 
2.8%
Close Punctuation 24
 
2.8%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 34
 
6.8%
포 30
 
6.0%
동 29
 
5.8%
서 26
 
5.2%
울 24
 
4.8%
로 24
 
4.8%
구 24
 
4.8%
시 24
 
4.8%
별 24
 
4.8%
특 24
 
4.8%
Other values (68) 240
47.7%
Other Punctuation
ValueCountFrequency (%)
* 146
84.4%
, 27
 
15.6%
Space Separator
ValueCountFrequency (%)
141
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 503
57.9%
Common 365
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 34
 
6.8%
포 30
 
6.0%
동 29
 
5.8%
서 26
 
5.2%
울 24
 
4.8%
로 24
 
4.8%
구 24
 
4.8%
시 24
 
4.8%
별 24
 
4.8%
특 24
 
4.8%
Other values (68) 240
47.7%
Common
ValueCountFrequency (%)
* 146
40.0%
141
38.6%
, 27
 
7.4%
( 24
 
6.6%
) 24
 
6.6%
- 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 503
57.9%
ASCII 365
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 146
40.0%
141
38.6%
, 27
 
7.4%
( 24
 
6.6%
) 24
 
6.6%
- 3
 
0.8%
Hangul
ValueCountFrequency (%)
마 34
 
6.8%
포 30
 
6.0%
동 29
 
5.8%
서 26
 
5.2%
울 24
 
4.8%
로 24
 
4.8%
구 24
 
4.8%
시 24
 
4.8%
별 24
 
4.8%
특 24
 
4.8%
Other values (68) 240
47.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)66.7%
Missing6
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean4061.7778
Minimum3938
Maximum4195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:28:07.988502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3938
5-th percentile3938
Q13969.75
median4013.5
Q34156.75
95-th percentile4195
Maximum4195
Range257
Interquartile range (IQR)187

Descriptive statistics

Standard deviation104.44732
Coefficient of variation (CV)0.02571468
Kurtosis-1.9315471
Mean4061.7778
Median Absolute Deviation (MAD)75.5
Skewness0.1579448
Sum73112
Variance10909.242
MonotonicityNot monotonic
2024-05-11T15:28:08.183336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3938 3
12.5%
4195 3
12.5%
4156 2
 
8.3%
3992 2
 
8.3%
4157 1
 
4.2%
4144 1
 
4.2%
3962 1
 
4.2%
3987 1
 
4.2%
3964 1
 
4.2%
4006 1
 
4.2%
Other values (2) 2
 
8.3%
(Missing) 6
25.0%
ValueCountFrequency (%)
3938 3
12.5%
3962 1
 
4.2%
3964 1
 
4.2%
3987 1
 
4.2%
3992 2
8.3%
4006 1
 
4.2%
4021 1
 
4.2%
4144 1
 
4.2%
4156 2
8.3%
4157 1
 
4.2%
ValueCountFrequency (%)
4195 3
12.5%
4176 1
 
4.2%
4157 1
 
4.2%
4156 2
8.3%
4144 1
 
4.2%
4021 1
 
4.2%
4006 1
 
4.2%
3992 2
8.3%
3987 1
 
4.2%
3964 1
 
4.2%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T15:28:08.485426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.7916667
Min length4

Characters and Unicode

Total characters211
Distinct characters82
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

Unique24 ?
Unique (%)100.0%

Sample

1st row에스앤샤(주)
2nd row매일유업망원대리점
3rd row삼우운수(주)
4th row삼진화물운수(주)
5th row주식회사 와이엔로지스틱스
ValueCountFrequency (%)
주식회사 3
 
10.7%
에스앤샤(주 1
 
3.6%
주)제이엔알써비스 1
 
3.6%
길라잡이 1
 
3.6%
주)오케이씨물류 1
 
3.6%
주)가오물류 1
 
3.6%
소원통상 1
 
3.6%
주)제이알코어 1
 
3.6%
해인통운 1
 
3.6%
더러브엔터테인먼트 1
 
3.6%
Other values (16) 16
57.1%
2024-05-11T15:28:09.089769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 21
 
10.0%
( 18
 
8.5%
) 18
 
8.5%
스 10
 
4.7%
이 9
 
4.3%
물 7
 
3.3%
류 6
 
2.8%
에 5
 
2.4%
지 4
 
1.9%
제 4
 
1.9%
Other values (72) 109
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
81.0%
Open Punctuation 18
 
8.5%
Close Punctuation 18
 
8.5%
Space Separator 4
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 21
 
12.3%
스 10
 
5.8%
이 9
 
5.3%
물 7
 
4.1%
류 6
 
3.5%
에 5
 
2.9%
지 4
 
2.3%
제 4
 
2.3%
로 4
 
2.3%
엔 3
 
1.8%
Other values (69) 98
57.3%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
81.0%
Common 40
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 21
 
12.3%
스 10
 
5.8%
이 9
 
5.3%
물 7
 
4.1%
류 6
 
3.5%
에 5
 
2.9%
지 4
 
2.3%
제 4
 
2.3%
로 4
 
2.3%
엔 3
 
1.8%
Other values (69) 98
57.3%
Common
ValueCountFrequency (%)
( 18
45.0%
) 18
45.0%
4
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
81.0%
ASCII 40
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 21
 
12.3%
스 10
 
5.8%
이 9
 
5.3%
물 7
 
4.1%
류 6
 
3.5%
에 5
 
2.9%
지 4
 
2.3%
제 4
 
2.3%
로 4
 
2.3%
엔 3
 
1.8%
Other values (69) 98
57.3%
ASCII
ValueCountFrequency (%)
( 18
45.0%
) 18
45.0%
4
 
10.0%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2006-01-05 09:37:50
Maximum2024-02-29 15:10:58
2024-05-11T15:28:09.317751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:09.524123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
U
17 
I
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 17
70.8%
I 7
29.2%

Length

2024-05-11T15:28:09.733484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:09.894630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 17
70.8%
i 7
29.2%

데이터갱신일자
Date

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:02:00
2024-05-11T15:28:10.060534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:28:10.304952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193449.75
Minimum191037.5
Maximum195766.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:28:10.487612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191037.5
5-th percentile191197.41
Q1191526.9
median192880.12
Q3195454.88
95-th percentile195766.59
Maximum195766.59
Range4729.0921
Interquartile range (IQR)3927.9736

Descriptive statistics

Standard deviation1866.204
Coefficient of variation (CV)0.0096469706
Kurtosis-1.8266683
Mean193449.75
Median Absolute Deviation (MAD)1605.5716
Skewness0.12046418
Sum4642794
Variance3482717.5
MonotonicityNot monotonic
2024-05-11T15:28:10.689134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
195454.875715409 3
12.5%
195766.588069694 3
12.5%
192628.745242508 2
 
8.3%
195324.793653981 2
 
8.3%
191394.825368291 2
 
8.3%
191384.752419064 1
 
4.2%
192871.13934475 1
 
4.2%
195071.903084866 1
 
4.2%
191731.879977029 1
 
4.2%
191164.349860721 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
191037.495931346 1
4.2%
191164.349860721 1
4.2%
191384.752419064 1
4.2%
191394.825368291 2
8.3%
191521.615420118 1
4.2%
191528.664363799 1
4.2%
191731.879977029 1
4.2%
192492.54382962 1
4.2%
192628.745242508 2
8.3%
192871.13934475 1
4.2%
ValueCountFrequency (%)
195766.588069694 3
12.5%
195703.425296812 1
 
4.2%
195454.875715409 3
12.5%
195324.793653981 2
8.3%
195071.903084866 1
 
4.2%
193035.966460428 1
 
4.2%
192889.106224174 1
 
4.2%
192871.13934475 1
 
4.2%
192628.745242508 2
8.3%
192492.54382962 1
 
4.2%

좌표정보(Y)
Real number (ℝ)

Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449896.82
Minimum448345.71
Maximum451555.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T15:28:10.906682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448345.71
5-th percentile448885.43
Q1449055.04
median449711.91
Q3450641.17
95-th percentile451521.51
Maximum451555.57
Range3209.8546
Interquartile range (IQR)1586.1293

Descriptive statistics

Standard deviation972.74245
Coefficient of variation (CV)0.0021621456
Kurtosis-1.2106092
Mean449896.82
Median Absolute Deviation (MAD)741.68209
Skewness0.32659203
Sum10797524
Variance946227.86
MonotonicityNot monotonic
2024-05-11T15:28:11.140679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
448970.223733402 3
12.5%
449083.306922623 3
12.5%
449524.160162437 2
 
8.3%
448885.430093289 2
 
8.3%
451555.568249124 2
 
8.3%
451328.488369456 1
 
4.2%
450983.531769875 1
 
4.2%
448345.713688045 1
 
4.2%
449899.651492106 1
 
4.2%
450270.665515156 1
 
4.2%
Other values (7) 7
29.2%
ValueCountFrequency (%)
448345.713688045 1
 
4.2%
448885.430093289 2
8.3%
448970.223733402 3
12.5%
449083.306922623 3
12.5%
449330.800717721 1
 
4.2%
449524.160162437 2
8.3%
449899.651492106 1
 
4.2%
449939.05011523 1
 
4.2%
450270.665515156 1
 
4.2%
450377.820555522 1
 
4.2%
ValueCountFrequency (%)
451555.568249124 2
8.3%
451328.488369456 1
4.2%
451015.116442491 1
4.2%
450983.531769875 1
4.2%
450909.156908183 1
4.2%
450551.834876995 1
4.2%
450481.055247985 1
4.2%
450377.820555522 1
4.2%
450270.665515156 1
4.2%
449939.05011523 1
4.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
17 
축산물운반업
7 

Length

Max length6
Median length4
Mean length4.5833333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 17
70.8%
축산물운반업 7
29.2%

Length

2024-05-11T15:28:11.589452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:11.782748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
70.8%
축산물운반업 7
29.2%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
17 
L00
5 
000
2 

Length

Max length4
Median length4
Mean length3.7083333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row000
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
70.8%
L00 5
 
20.8%
000 2
 
8.3%

Length

2024-05-11T15:28:11.994028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:28:12.191714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
70.8%
l00 5
 
20.8%
000 2
 
8.3%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0313000031300000082005000120050304<NA>1영업/정상0정상<NA><NA><NA><NA>333149077.0<NA>서울특별시 마포구 성산동 ***-*번지 이안상암*차 ****호서울특별시 마포구 월드컵로 ***, **층 ****호 (성산동, 이안상암*차)3938에스앤샤(주)2015-04-02 18:12:26I2018-08-31 23:59:59.0<NA>191384.752419451328.488369축산물운반업<NA><NA>L00<NA>
1313000031300000082005000220050719<NA>3폐업2폐업20050719<NA><NA><NA>3141-83770.0<NA>서울특별시 마포구 망원동 ***-**번지서울특별시 마포구 희우정로 *** (망원동)<NA>매일유업망원대리점2006-01-05 09:37:50I2018-08-31 23:59:59.0<NA>191037.495931450377.820556축산물운반업<NA><NA>000<NA>
2313000031300000082006000120060927<NA>1영업/정상0정상<NA><NA><NA><NA>70730770.0<NA>서울특별시 마포구 도화동 ***서울특별시 마포구 독막로 *** (도화동, 마스터즈타워 ****호)4156삼우운수(주)2022-08-11 15:57:16U2021-12-07 23:03:00.0<NA>195454.875715448970.223733<NA><NA><NA><NA><NA>
3313000031300000082006000220060927<NA>1영업/정상0정상<NA><NA><NA><NA>70730770.0<NA>서울특별시 마포구 도화동 ***서울특별시 마포구 독막로 *** (도화동,마스터즈타워 ****호)<NA>삼진화물운수(주)2022-08-18 10:19:12U2021-12-07 22:00:00.0<NA>195454.875715448970.223733<NA><NA><NA><NA><NA>
431300003130000008200800012008-11-28<NA>1영업/정상0정상<NA><NA><NA><NA>2322031240.0<NA>서울특별시 마포구 합정동 ***-*서울특별시 마포구 독막로 ** (합정동,*층)<NA>주식회사 와이엔로지스틱스2024-02-29 15:10:58U2023-12-03 00:02:00.0<NA>192628.745243449524.160162<NA><NA><NA><NA><NA>
5313000031300000082010000120100105<NA>3폐업2폐업20100422<NA><NA><NA>522-161295.0<NA>서울특별시 마포구 서교동 ***-**번지 서교제일빌딩 ***호서울특별시 마포구 양화로*길 *-**, ***호 (서교동,서교제일빌딩)<NA>(주)에스에스티물류2010-04-22 10:13:15I2018-08-31 23:59:59.0<NA>192492.54383449939.050115축산물운반업<NA><NA>L00<NA>
6313000031300000082011000120110329<NA>1영업/정상0정상<NA><NA><NA><NA>3669-7722437.0<NA>서울특별시 마포구 도화동 ***서울특별시 마포구 마포대로 **-* (도화동)<NA>한국파렛트풀(주)2022-08-18 10:09:10U2021-12-07 22:00:00.0<NA>195324.793654448885.430093<NA><NA><NA><NA><NA>
7313000031300000082011000220110406<NA>1영업/정상0정상<NA><NA><NA><NA>6013-160540.0<NA>서울특별시 마포구 합정동 ***-*서울특별시 마포구 독막로 ** (합정동,목우빌딩 *층)<NA>(주)에스엠로지스2022-08-18 10:11:45U2021-12-07 22:00:00.0<NA>192628.745243449524.160162<NA><NA><NA><NA><NA>
831300003130000008201400012014-02-19<NA>1영업/정상0정상<NA><NA><NA><NA>366975140.0<NA>서울특별시 마포구 도화동 ***서울특별시 마포구 마포대로 **-*, *층 (도화동)4157한국로지스풀(주)2024-02-08 17:30:44U2023-12-01 23:01:00.0<NA>195324.793654448885.430093<NA><NA><NA><NA><NA>
9313000031300000082014000220140518<NA>4취소/말소/만료/정지/중지4말소20210422<NA><NA><NA>1661-57400.0<NA>서울특별시 마포구 동교동 ***-*서울특별시 마포구 동교로 ***, *층 (동교동)3992(주)제이엠로지스2021-04-22 11:20:09U2021-04-24 02:40:00.0<NA>193035.96646450551.834877축산물운반업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
14313000031300000082018000220181213<NA>1영업/정상0정상<NA><NA><NA><NA>707298560.0<NA>서울특별시 마포구 도화동 ***서울특별시 마포구 독막로 ***, 마스터즈타워빌딩 ****호 (도화동)4156물류뱅크(주)2022-08-18 10:24:38U2021-12-07 22:00:00.0<NA>195454.875715448970.223733<NA><NA><NA><NA><NA>
1531300003130000008201900012019-08-19<NA>1영업/정상0정상<NA><NA><NA><NA>85181226.53<NA>서울특별시 마포구 공덕동 *** ****호서울특별시 마포구 만리재로 **, 한국사회복지회관 르네상스타워 **층 ****호 (공덕동)4195(주)제이알컴퍼니2023-11-30 09:34:41U2022-11-02 00:02:00.0<NA>195766.58807449083.306923<NA><NA><NA><NA><NA>
1631300003130000008202000012020-04-02<NA>1영업/정상0정상<NA><NA><NA><NA>3329815297.0<NA>서울특별시 마포구 망원동 ***-* *호서울특별시 마포구 월드컵로 ***, 가은빌딩 *층 *호 (망원동)3962(주)범아코퍼레이션2023-09-20 15:14:50U2022-12-08 22:02:00.0<NA>191528.664364451015.116442<NA><NA><NA><NA><NA>
17313000031300000082020000220200629<NA>1영업/정상0정상<NA><NA><NA><NA>02-782-560040.0<NA>서울특별시 마포구 연남동 ***-** ***호서울특별시 마포구 동교로**길 **, ***호 (연남동)3987주식회사 더러브엔터테인먼트2020-07-31 13:18:29U2020-08-02 02:40:00.0<NA>192871.139345450983.53177축산물운반업<NA><NA>L00<NA>
18313000031300000082020000320201209<NA>1영업/정상0정상<NA><NA><NA><NA><NA>20.0<NA>서울특별시 마포구 망원동 *** 함성월드빌아파트 ***동 ***호서울특별시 마포구 망원로**길 **, ***동 ***호 (망원동, 함성월드빌아파트)3964해인통운2020-12-09 10:46:05I2020-12-11 00:23:07.0<NA>191521.61542450909.156908축산물운반업<NA><NA>000<NA>
1931300003130000008202100012021-07-30<NA>1영업/정상0정상<NA><NA><NA><NA>85181227.61<NA>서울특별시 마포구 공덕동 *** ****호서울특별시 마포구 만리재로 **, 한국사회복지회관 르네상스타워 **층 ****호 (공덕동)4195(주)제이알코어2024-02-01 11:15:48U2023-12-02 00:03:00.0<NA>195766.58807449083.306923<NA><NA><NA><NA><NA>
2031300003130000008202200012022-04-19<NA>1영업/정상0정상<NA><NA><NA><NA>303558510.0<NA>서울특별시 마포구 성산동 ***-* ***호서울특별시 마포구 월드컵로**길 **, 삼라마이다스 ***호 (성산동)3938주식회사 소원통상2023-12-15 09:33:54U2022-11-01 23:07:00.0<NA>191394.825368451555.568249<NA><NA><NA><NA><NA>
2131300003130000008202200022022-09-07<NA>1영업/정상0정상<NA><NA><NA><NA>1800-587855.26<NA>서울특별시 마포구 망원동 ***-** 지층서울특별시 마포구 희우정로 ***, 지층 (망원동)4006(주)가오물류2023-04-26 11:41:45U2022-12-03 22:08:00.0<NA>191164.349861450270.665515<NA><NA><NA><NA><NA>
22313000031300000082022000320221108<NA>1영업/정상0정상<NA><NA><NA><NA>02-336-350276.44<NA>서울특별시 마포구 합정동 ***-* *층서울특별시 마포구 포은로 **, *층 (합정동)4021(주)오케이씨물류2022-11-08 10:35:08I2021-10-31 23:00:00.0<NA>191731.879977449899.651492<NA><NA><NA><NA><NA>
2331300003130000008202300012023-03-14<NA>1영업/정상0정상<NA><NA><NA><NA><NA>10.0<NA>서울특별시 마포구 마포동 ***-* 덕성빌딩 ***호서울특별시 마포구 마포대로*나길 **, 덕성빌딩 ***호 (마포동)4176길라잡이 에프앤비2023-03-14 15:12:21I2022-12-02 23:06:00.0<NA>195071.903085448345.713688<NA><NA><NA><NA><NA>