Overview

Dataset statistics

Number of variables30
Number of observations31
Missing cells297
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory261.3 B

Variable types

Categorical10
Numeric4
DateTime4
Unsupported8
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-16554/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (54.1%)Imbalance
인허가취소일자 has 31 (100.0%) missing valuesMissing
폐업일자 has 26 (83.9%) missing valuesMissing
휴업시작일자 has 31 (100.0%) missing valuesMissing
휴업종료일자 has 31 (100.0%) missing valuesMissing
재개업일자 has 31 (100.0%) missing valuesMissing
전화번호 has 17 (54.8%) missing valuesMissing
소재지우편번호 has 31 (100.0%) missing valuesMissing
도로명주소 has 1 (3.2%) missing valuesMissing
도로명우편번호 has 1 (3.2%) missing valuesMissing
업태구분명 has 31 (100.0%) missing valuesMissing
좌표정보(X) has 2 (6.5%) missing valuesMissing
좌표정보(Y) has 2 (6.5%) missing valuesMissing
축산물가공업구분명 has 31 (100.0%) missing valuesMissing
축산일련번호 has 31 (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

Reproduction

Analysis started2024-04-29 19:04:55.871391
Analysis finished2024-04-29 19:04:56.474060
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
3130000
31 

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 31
100.0%

Length

2024-04-30T04:04:56.532917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:56.605497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 31
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct31
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 size411.0 B
2024-04-30T04:04:56.684345image/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
Range300000
Interquartile range (IQR)25024

Descriptive statistics

Standard deviation72345.444
Coefficient of variation (CV)2.311356 × 10-13
Kurtosis3.7938609
Mean3.13 × 1017
Median Absolute Deviation (MAD)10048
Skewness-2.1264702
Sum-8.743744 × 1018
Variance5.2338632 × 109
MonotonicityStrictly increasing
2024-04-30T04:04:56.795672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
313000001319940001 1
 
3.2%
313000001320030001 1
 
3.2%
313000001320240001 1
 
3.2%
313000001320230004 1
 
3.2%
313000001320230003 1
 
3.2%
313000001320230002 1
 
3.2%
313000001320230001 1
 
3.2%
313000001320220005 1
 
3.2%
313000001320220004 1
 
3.2%
313000001320220003 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
313000001319940001 1
3.2%
313000001320030001 1
3.2%
313000001320040001 1
3.2%
313000001320050001 1
3.2%
313000001320080001 1
3.2%
313000001320180001 1
3.2%
313000001320190001 1
3.2%
313000001320190002 1
3.2%
313000001320200001 1
3.2%
313000001320200002 1
3.2%
ValueCountFrequency (%)
313000001320240001 1
3.2%
313000001320230004 1
3.2%
313000001320230003 1
3.2%
313000001320230002 1
3.2%
313000001320230001 1
3.2%
313000001320220005 1
3.2%
313000001320220004 1
3.2%
313000001320220003 1
3.2%
313000001320220002 1
3.2%
313000001320220001 1
3.2%

인허가일자
Date

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum1994-02-28 00:00:00
Maximum2024-03-29 00:00:00
2024-04-30T04:04:56.902650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:04:57.009419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
1
25 
3
5 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
80.6%
3 5
 
16.1%
4 1
 
3.2%

Length

2024-04-30T04:04:57.104332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:57.186490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
80.6%
3 5
 
16.1%
4 1
 
3.2%

영업상태명
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
영업/정상
25 
폐업
5 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8064516
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
80.6%
폐업 5
 
16.1%
취소/말소/만료/정지/중지 1
 
3.2%

Length

2024-04-30T04:04:57.292670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:57.396686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
80.6%
폐업 5
 
16.1%
취소/말소/만료/정지/중지 1
 
3.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
25 
2
5 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
80.6%
2 5
 
16.1%
4 1
 
3.2%

Length

2024-04-30T04:04:57.490663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:57.577391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
80.6%
2 5
 
16.1%
4 1
 
3.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
정상
25 
폐업
5 
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
정상 25
80.6%
폐업 5
 
16.1%
말소 1
 
3.2%

Length

2024-04-30T04:04:57.668058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:57.751884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 25
80.6%
폐업 5
 
16.1%
말소 1
 
3.2%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing26
Missing (%)83.9%
Memory size380.0 B
Minimum2005-03-17 00:00:00
Maximum2024-01-29 00:00:00
2024-04-30T04:04:57.815573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:04:57.892094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Memory size380.0 B
2024-04-30T04:04:58.027901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.428571
Min length9

Characters and Unicode

Total characters160
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

Unique14 ?
Unique (%)100.0%

Sample

1st row02-337-4450
2nd row02-325-8058
3rd row02-6933-9394
4th row02-2088-7159
5th row02-2069-3121
ValueCountFrequency (%)
02-337-4450 1
 
7.1%
02-325-8058 1
 
7.1%
02-6933-9394 1
 
7.1%
02-2088-7159 1
 
7.1%
02-2069-3121 1
 
7.1%
02-1800-5813 1
 
7.1%
02-702-5867 1
 
7.1%
070-4808-2139 1
 
7.1%
027948940 1
 
7.1%
02-703-2454 1
 
7.1%
Other values (4) 4
28.6%
2024-04-30T04:04:58.304210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
18.8%
- 26
16.2%
2 24
15.0%
3 17
10.6%
8 15
9.4%
4 10
 
6.2%
9 10
 
6.2%
5 9
 
5.6%
7 7
 
4.4%
1 7
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134
83.8%
Dash Punctuation 26
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
22.4%
2 24
17.9%
3 17
12.7%
8 15
11.2%
4 10
 
7.5%
9 10
 
7.5%
5 9
 
6.7%
7 7
 
5.2%
1 7
 
5.2%
6 5
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
18.8%
- 26
16.2%
2 24
15.0%
3 17
10.6%
8 15
9.4%
4 10
 
6.2%
9 10
 
6.2%
5 9
 
5.6%
7 7
 
4.4%
1 7
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
18.8%
- 26
16.2%
2 24
15.0%
3 17
10.6%
8 15
9.4%
4 10
 
6.2%
9 10
 
6.2%
5 9
 
5.6%
7 7
 
4.4%
1 7
 
4.4%

소재지면적
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
25 
0
6 

Length

Max length4
Median length4
Mean length3.4193548
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
80.6%
0 6
 
19.4%

Length

2024-04-30T04:04:58.419452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:58.507013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
80.6%
0 6
 
19.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

지번주소
Text

Distinct26
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-30T04:04:58.653740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length23.741935
Min length18

Characters and Unicode

Total characters736
Distinct characters83
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

Unique23 ?
Unique (%)74.2%

Sample

1st row서울특별시 마포구 서교동 ***-*
2nd row서울특별시 마포구 아현동 **-**번지
3rd row서울특별시 마포구 서교동 ***-* 번지 *층
4th row서울특별시 마포구 서교동 ***-**
5th row서울특별시 마포구 상암동 **-*
ValueCountFrequency (%)
서울특별시 31
21.2%
마포구 29
19.9%
25
17.1%
서교동 8
 
5.5%
번지 7
 
4.8%
망원동 4
 
2.7%
동교동 3
 
2.1%
공덕동 3
 
2.1%
마포동 2
 
1.4%
롯데캐슬프레지던트 2
 
1.4%
Other values (26) 32
21.9%
2024-04-30T04:04:58.937028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
18.1%
* 128
17.4%
서 41
 
5.6%
동 34
 
4.6%
마 33
 
4.5%
포 33
 
4.5%
시 32
 
4.3%
특 31
 
4.2%
별 31
 
4.2%
구 31
 
4.2%
Other values (73) 209
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
61.7%
Space Separator 133
 
18.1%
Other Punctuation 128
 
17.4%
Dash Punctuation 21
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 41
 
9.0%
동 34
 
7.5%
마 33
 
7.3%
포 33
 
7.3%
시 32
 
7.0%
특 31
 
6.8%
별 31
 
6.8%
구 31
 
6.8%
울 31
 
6.8%
교 11
 
2.4%
Other values (70) 146
32.2%
Space Separator
ValueCountFrequency (%)
133
100.0%
Other Punctuation
ValueCountFrequency (%)
* 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
61.7%
Common 282
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 41
 
9.0%
동 34
 
7.5%
마 33
 
7.3%
포 33
 
7.3%
시 32
 
7.0%
특 31
 
6.8%
별 31
 
6.8%
구 31
 
6.8%
울 31
 
6.8%
교 11
 
2.4%
Other values (70) 146
32.2%
Common
ValueCountFrequency (%)
133
47.2%
* 128
45.4%
- 21
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
61.7%
ASCII 282
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
47.2%
* 128
45.4%
- 21
 
7.4%
Hangul
ValueCountFrequency (%)
서 41
 
9.0%
동 34
 
7.5%
마 33
 
7.3%
포 33
 
7.3%
시 32
 
7.0%
특 31
 
6.8%
별 31
 
6.8%
구 31
 
6.8%
울 31
 
6.8%
교 11
 
2.4%
Other values (70) 146
32.2%

도로명주소
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing1
Missing (%)3.2%
Memory size380.0 B
2024-04-30T04:04:59.133079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length35.5
Min length24

Characters and Unicode

Total characters1065
Distinct characters104
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row서울특별시 마포구 동교로**길 **, *층 (서교동)
2nd row서울특별시 마포구 마포대로 *** (아현동)
3rd row서울특별시 마포구 월드컵북로 **, 지*층 (서교동)
4th row서울특별시 마포구 매봉산로*길 **, ***호 (상암동)
5th row서울특별시 마포구 양화로 ***, 케이스퀘어 ***호 (동교동)
ValueCountFrequency (%)
서울특별시 30
14.6%
30
14.6%
마포구 30
14.6%
호 14
 
6.8%
서교동 8
 
3.9%
층 8
 
3.9%
마포대로 5
 
2.4%
망원동 4
 
2.0%
동 3
 
1.5%
동교동 3
 
1.5%
Other values (55) 70
34.1%
2024-04-30T04:04:59.433402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 183
17.2%
175
16.4%
마 41
 
3.8%
포 41
 
3.8%
동 39
 
3.7%
서 38
 
3.6%
, 37
 
3.5%
시 31
 
2.9%
( 30
 
2.8%
울 30
 
2.8%
Other values (94) 420
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 602
56.5%
Other Punctuation 220
 
20.7%
Space Separator 175
 
16.4%
Open Punctuation 30
 
2.8%
Close Punctuation 30
 
2.8%
Dash Punctuation 7
 
0.7%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 41
 
6.8%
포 41
 
6.8%
동 39
 
6.5%
서 38
 
6.3%
시 31
 
5.1%
울 30
 
5.0%
로 30
 
5.0%
구 30
 
5.0%
별 30
 
5.0%
특 30
 
5.0%
Other values (87) 262
43.5%
Other Punctuation
ValueCountFrequency (%)
* 183
83.2%
, 37
 
16.8%
Space Separator
ValueCountFrequency (%)
175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 602
56.5%
Common 462
43.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 41
 
6.8%
포 41
 
6.8%
동 39
 
6.5%
서 38
 
6.3%
시 31
 
5.1%
울 30
 
5.0%
로 30
 
5.0%
구 30
 
5.0%
별 30
 
5.0%
특 30
 
5.0%
Other values (87) 262
43.5%
Common
ValueCountFrequency (%)
* 183
39.6%
175
37.9%
, 37
 
8.0%
( 30
 
6.5%
) 30
 
6.5%
- 7
 
1.5%
Latin
ValueCountFrequency (%)
b 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 602
56.5%
ASCII 463
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 183
39.5%
175
37.8%
, 37
 
8.0%
( 30
 
6.5%
) 30
 
6.5%
- 7
 
1.5%
b 1
 
0.2%
Hangul
ValueCountFrequency (%)
마 41
 
6.8%
포 41
 
6.8%
동 39
 
6.5%
서 38
 
6.3%
시 31
 
5.1%
울 30
 
5.0%
로 30
 
5.0%
구 30
 
5.0%
별 30
 
5.0%
특 30
 
5.0%
Other values (87) 262
43.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)83.3%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean4056.1667
Minimum3912
Maximum4205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:04:59.537173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3912
5-th percentile3930.9
Q13996
median4030.5
Q34146
95-th percentile4197.85
Maximum4205
Range293
Interquartile range (IQR)150

Descriptive statistics

Standard deviation86.677398
Coefficient of variation (CV)0.021369289
Kurtosis-0.98721956
Mean4056.1667
Median Absolute Deviation (MAD)40.5
Skewness0.38557782
Sum121685
Variance7512.9713
MonotonicityNot monotonic
2024-04-30T04:04:59.636349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4017 3
 
9.7%
3995 2
 
6.5%
4167 2
 
6.5%
4146 2
 
6.5%
4030 1
 
3.2%
4089 1
 
3.2%
4031 1
 
3.2%
4015 1
 
3.2%
4157 1
 
3.2%
4044 1
 
3.2%
Other values (15) 15
48.4%
ValueCountFrequency (%)
3912 1
 
3.2%
3930 1
 
3.2%
3932 1
 
3.2%
3966 1
 
3.2%
3986 1
 
3.2%
3994 1
 
3.2%
3995 2
6.5%
3999 1
 
3.2%
4015 1
 
3.2%
4017 3
9.7%
ValueCountFrequency (%)
4205 1
3.2%
4201 1
3.2%
4194 1
3.2%
4178 1
3.2%
4167 2
6.5%
4157 1
3.2%
4146 2
6.5%
4089 1
3.2%
4047 1
3.2%
4044 1
3.2%

사업장명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-04-30T04:04:59.813524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length6.4193548
Min length2

Characters and Unicode

Total characters199
Distinct characters102
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

Unique31 ?
Unique (%)100.0%

Sample

1st row(주)성보사이언스텍
2nd rowS.H.C.P KOREA
3rd row펫플러스
4th row주식회사 프로벳
5th row(주)레이케어
ValueCountFrequency (%)
주식회사 6
 
14.6%
주)성보사이언스텍 1
 
2.4%
월드컵점 1
 
2.4%
비앤케이 1
 
2.4%
웰비트 1
 
2.4%
키즈밋인터네셔널 1
 
2.4%
유심창고 1
 
2.4%
주)오엔케이 1
 
2.4%
홈플러스 1
 
2.4%
씨유합정태양점 1
 
2.4%
Other values (26) 26
63.4%
2024-04-30T04:05:00.091613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 11
 
5.5%
10
 
5.0%
스 10
 
5.0%
사 8
 
4.0%
이 7
 
3.5%
식 7
 
3.5%
회 6
 
3.0%
비 4
 
2.0%
점 4
 
2.0%
나 4
 
2.0%
Other values (92) 128
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
84.9%
Space Separator 10
 
5.0%
Uppercase Letter 9
 
4.5%
Open Punctuation 4
 
2.0%
Close Punctuation 4
 
2.0%
Other Punctuation 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
6.5%
스 10
 
5.9%
사 8
 
4.7%
이 7
 
4.1%
식 7
 
4.1%
회 6
 
3.6%
비 4
 
2.4%
점 4
 
2.4%
나 4
 
2.4%
플 3
 
1.8%
Other values (79) 105
62.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
11.1%
E 1
11.1%
R 1
11.1%
O 1
11.1%
K 1
11.1%
P 1
11.1%
C 1
11.1%
H 1
11.1%
S 1
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
84.9%
Common 21
 
10.6%
Latin 9
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
6.5%
스 10
 
5.9%
사 8
 
4.7%
이 7
 
4.1%
식 7
 
4.1%
회 6
 
3.6%
비 4
 
2.4%
점 4
 
2.4%
나 4
 
2.4%
플 3
 
1.8%
Other values (79) 105
62.1%
Latin
ValueCountFrequency (%)
A 1
11.1%
E 1
11.1%
R 1
11.1%
O 1
11.1%
K 1
11.1%
P 1
11.1%
C 1
11.1%
H 1
11.1%
S 1
11.1%
Common
ValueCountFrequency (%)
10
47.6%
( 4
 
19.0%
) 4
 
19.0%
. 3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
84.9%
ASCII 30
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 11
 
6.5%
스 10
 
5.9%
사 8
 
4.7%
이 7
 
4.1%
식 7
 
4.1%
회 6
 
3.6%
비 4
 
2.4%
점 4
 
2.4%
나 4
 
2.4%
플 3
 
1.8%
Other values (79) 105
62.1%
ASCII
ValueCountFrequency (%)
10
33.3%
( 4
 
13.3%
) 4
 
13.3%
. 3
 
10.0%
A 1
 
3.3%
E 1
 
3.3%
R 1
 
3.3%
O 1
 
3.3%
K 1
 
3.3%
P 1
 
3.3%
Other values (3) 3
 
10.0%

최종수정일자
Date

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2005-03-18 09:15:14
Maximum2024-04-01 15:16:45
2024-04-30T04:05:00.197712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:05:00.292937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
I
17 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 17
54.8%
U 14
45.2%

Length

2024-04-30T04:05:00.393399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:00.469595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 17
54.8%
u 14
45.2%

데이터갱신일자
Date

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T04:05:00.541628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:05:00.646078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)93.1%
Missing2
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean193319.07
Minimum190352.56
Maximum196378.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:05:00.736097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190352.56
5-th percentile190991.34
Q1192296.77
median192716.49
Q3195051.53
95-th percentile196103.33
Maximum196378.16
Range6025.6072
Interquartile range (IQR)2754.7661

Descriptive statistics

Standard deviation1739.1212
Coefficient of variation (CV)0.0089961181
Kurtosis-1.0508497
Mean193319.07
Median Absolute Deviation (MAD)1258.0956
Skewness0.31587933
Sum5606253
Variance3024542.5
MonotonicityNot monotonic
2024-04-30T04:05:00.832428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
191458.39596625 2
 
6.5%
195564.375757848 2
 
6.5%
192730.376890748 1
 
3.2%
191308.342858719 1
 
3.2%
195322.033365468 1
 
3.2%
192613.832364343 1
 
3.2%
192311.642580307 1
 
3.2%
192716.491596712 1
 
3.2%
192683.268760741 1
 
3.2%
193195.287895622 1
 
3.2%
Other values (17) 17
54.8%
(Missing) 2
 
6.5%
ValueCountFrequency (%)
190352.555252104 1
3.2%
190780.007124539 1
3.2%
191308.342858719 1
3.2%
191458.39596625 2
6.5%
191578.189539451 1
3.2%
192001.579274987 1
3.2%
192296.767618228 1
3.2%
192311.642580307 1
3.2%
192613.832364343 1
3.2%
192633.988796517 1
3.2%
ValueCountFrequency (%)
196378.162500119 1
3.2%
196255.792033536 1
3.2%
195874.639172861 1
3.2%
195564.375757848 2
6.5%
195322.033365468 1
3.2%
195111.088138936 1
3.2%
195051.53369717 1
3.2%
195035.59631653 1
3.2%
194301.304865904 1
3.2%
193195.287895622 1
3.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)93.1%
Missing2
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean450059.84
Minimum448206.3
Maximum452636.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-04-30T04:05:00.955809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448206.3
5-th percentile448603.3
Q1449388.05
median450129.26
Q3450540.38
95-th percentile452050.83
Maximum452636.55
Range4430.2489
Interquartile range (IQR)1152.3219

Descriptive statistics

Standard deviation1015.1766
Coefficient of variation (CV)0.002255648
Kurtosis1.1735762
Mean450059.84
Median Absolute Deviation (MAD)520.93116
Skewness0.68388221
Sum13051735
Variance1030583.5
MonotonicityNot monotonic
2024-04-30T04:05:01.225291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
450129.256086724 2
 
6.5%
449186.933273231 2
 
6.5%
450187.395198752 1
 
3.2%
450189.481813539 1
 
3.2%
448969.110547126 1
 
3.2%
449723.835430368 1
 
3.2%
449855.643910445 1
 
3.2%
449982.653532805 1
 
3.2%
449608.324922344 1
 
3.2%
450709.112534628 1
 
3.2%
Other values (17) 17
54.8%
(Missing) 2
 
6.5%
ValueCountFrequency (%)
448206.301166714 1
3.2%
448575.956518546 1
3.2%
448644.311298762 1
3.2%
448969.110547126 1
3.2%
449015.903404686 1
3.2%
449186.933273231 2
6.5%
449388.053900946 1
3.2%
449608.324922344 1
3.2%
449723.835430368 1
3.2%
449822.921331655 1
3.2%
ValueCountFrequency (%)
452636.550076862 1
3.2%
452510.91383579 1
3.2%
451360.713321706 1
3.2%
450807.687845189 1
3.2%
450709.112534628 1
3.2%
450702.533715017 1
3.2%
450560.146911255 1
3.2%
450540.375791376 1
3.2%
450523.47124017 1
3.2%
450254.024372365 1
3.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
동물용의료용구판매업
16 
<NA>
15 

Length

Max length10
Median length10
Mean length7.0967742
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 16
51.6%
<NA> 15
48.4%

Length

2024-04-30T04:05:01.321486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:01.405582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 16
51.6%
na 15
48.4%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
15 
000
14 
L00
2 

Length

Max length4
Median length3
Mean length3.483871
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
48.4%
000 14
45.2%
L00 2
 
6.5%

Length

2024-04-30T04:05:01.501840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:01.594949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
48.4%
000 14
45.2%
l00 2
 
6.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
28 
0
3 

Length

Max length4
Median length4
Mean length3.7096774
Min length1

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> 28
90.3%
0 3
 
9.7%

Length

2024-04-30T04:05:01.689677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:05:01.776463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
90.3%
0 3
 
9.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0313000031300000131994000119940228<NA>1영업/정상0정상<NA><NA><NA><NA>02-337-44500<NA>서울특별시 마포구 서교동 ***-*서울특별시 마포구 동교로**길 **, *층 (서교동)4030(주)성보사이언스텍2022-07-06 09:28:20U2021-12-07 00:08:00.0<NA>192705.626902450254.024372<NA><NA><NA><NA><NA>
1313000031300000132003000120030129<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 아현동 **-**번지서울특별시 마포구 마포대로 *** (아현동)4201S.H.C.P KOREA2011-10-30 16:19:40I2018-08-31 23:59:59.0<NA>196378.1625450540.375791동물용의료용구판매업<NA><NA>000<NA>
2313000031300000132004000120040611<NA>3폐업2폐업20050317<NA><NA><NA><NA>0<NA>서울특별시 마포구 서교동 ***-* 번지 *층<NA><NA>펫플러스2005-03-18 09:15:14I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
3313000031300000132005000120050523<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 월드컵북로 **, 지*층 (서교동)3999주식회사 프로벳2022-11-08 10:26:47U2021-10-31 23:00:00.0<NA>192633.988797450702.533715<NA><NA><NA><NA><NA>
4313000031300000132008000120080124<NA>1영업/정상0정상<NA><NA><NA><NA>02-325-80580<NA>서울특별시 마포구 상암동 **-*서울특별시 마포구 매봉산로*길 **, ***호 (상암동)3930(주)레이케어2022-06-24 14:50:24U2021-12-05 22:06:00.0<NA>190780.007125452636.550077<NA><NA><NA><NA><NA>
5313000031300000132018000120180625<NA>1영업/정상0정상<NA><NA><NA><NA>02-6933-9394<NA><NA>서울특별시 마포구 동교동 ***-*번지 케이스퀘어서울특별시 마포구 양화로 ***, 케이스퀘어 ***호 (동교동)3995찹앤찹2018-06-25 10:59:35I2018-08-31 23:59:59.0<NA>193152.623835450523.47124동물용의료용구판매업<NA><NA>000<NA>
6313000031300000132019000120190318<NA>3폐업2폐업20190426<NA><NA><NA>02-2088-7159<NA><NA>서울특별시 마포구 서교동 ***-**번지서울특별시 마포구 양화로*길 **, *층 (서교동)4029컨비니언스2019-04-29 17:06:37U2019-05-01 02:40:00.0<NA>192296.767618450228.046369동물용의료용구판매업<NA><NA>000<NA>
7313000031300000132019000220190416<NA>1영업/정상0정상<NA><NA><NA><NA>02-2069-31210<NA>서울특별시 마포구 동교동 ***-**번지서울특별시 마포구 동교로 ***-*, *층 ***호 (동교동)3995주식회사 포파코 홍대지점2019-04-17 10:10:24I2019-04-19 02:20:25.0<NA>193104.772014450560.146911동물용의료용구판매업<NA><NA>L00<NA>
831300003130000013202000012020-03-05<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 마포동 **-* 신한디엠빌딩서울특별시 마포구 마포대로 **, 신한디엠빌딩 *층 ***호 (마포동)4167주식회사 나우위2023-10-24 09:50:49U2022-10-30 22:06:00.0<NA>195051.533697448575.956519<NA><NA><NA><NA><NA>
9313000031300000132020000220200312<NA>1영업/정상0정상<NA><NA><NA><NA>02-1800-5813<NA><NA>서울특별시 마포구 공덕동 **-*번지서울특별시 마포구 마포대로**나길 **-**, *층 (공덕동)4205마이스리모2020-03-12 17:49:59I2020-03-14 00:23:22.0<NA>196255.792034449822.921332동물용의료용구판매업<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
21313000031300000132022000120220207<NA>1영업/정상0정상<NA><NA><NA><NA>02-703-2454<NA><NA>서울특별시 마포구 도화동 *** 마포 한화 오벨리스크서울특별시 마포구 마포대로 **, ***호 (도화동, 마포 한화 오벨리스크)4167유심창고2022-02-07 18:17:43I2022-02-09 00:22:39.0<NA>195111.088139448644.311299동물용의료용구판매업<NA><NA>0000
22313000031300000132022000220220225<NA>1영업/정상0정상<NA><NA><NA><NA>02-2054-8830<NA><NA>서울특별시 마포구 동교동 ***-** 태전빌딩서울특별시 마포구 동교로 ***, 태전빌딩 ***호 (동교동)3994(주)오엔케이2022-02-25 11:15:29I2022-02-27 00:22:37.0<NA>193195.287896450709.112535동물용의료용구판매업<NA><NA>0000
2331300003130000013202200032022-05-18<NA>1영업/정상0정상<NA><NA><NA><NA>02-312-2080<NA><NA>서울특별시 강서구 등촌동 *** 월드컵주경기장서울특별시 마포구 월드컵로 ***, 월드컵주경기장 (성산동)3932홈플러스 월드컵점2024-02-22 16:29:04U2023-12-01 22:04:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
24313000031300000132022000420220718<NA>4취소/말소/만료/정지/중지4말소<NA><NA><NA><NA>02-333-6354<NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 양화로*길 **, 정명빌딩 ***호 (서교동)4047씨유합정태양점2022-08-01 15:18:26U2021-12-08 00:03:00.0<NA>192683.268761449608.324922<NA><NA><NA><NA><NA>
25313000031300000132022000520220929<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-*서울특별시 마포구 양화로**길 **, *층 (서교동)4043키비주얼나인2022-09-29 13:00:51I2021-10-31 00:01:00.0<NA>192716.491597449982.653533<NA><NA><NA><NA><NA>
2631300003130000013202300012023-04-04<NA>1영업/정상0정상<NA><NA><NA><NA>02-6938-8920<NA><NA>서울특별시 강서구 등촌동 *** 메세나폴리스서울특별시 마포구 양화로 **, 지하*층 (서교동, 메세나폴리스)4036홈플러스(주) 합정점2024-04-01 15:16:45U2023-12-04 00:03:00.0<NA>192311.64258449855.64391<NA><NA><NA><NA><NA>
2731300003130000013202300022023-04-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 독막로*길 **, *층 (서교동)4044하울2023-06-08 14:02:42U2022-12-05 23:00:00.0<NA>192613.832364449723.83543<NA><NA><NA><NA><NA>
2831300003130000013202300032023-05-23<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 도화동 *** 마포 태영 데시앙서울특별시 마포구 독막로 ***, 마포 태영 데시앙 ****호 (도화동)4157윤무역2023-06-08 14:03:12U2022-12-05 23:00:00.0<NA>195322.033365448969.110547<NA><NA><NA><NA><NA>
2931300003130000013202300042023-07-28<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 망원동 ***-**서울특별시 마포구 희우정로 **, 지층 (망원동)4015신성메디텍2023-07-28 09:29:42I2022-12-06 21:00:00.0<NA>191308.342859450189.481814<NA><NA><NA><NA><NA>
3031300003130000013202400012024-03-29<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 양화로**안길 **, *층 *-**호 (서교동)4031사계절닷컴2024-03-29 10:48:24I2023-12-02 21:01:00.0<NA>192730.376891450187.395199<NA><NA><NA><NA><NA>