Overview

Dataset statistics

Number of variables30
Number of observations22
Missing cells229
Missing cells (%)34.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory263.0 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16541/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 15 (68.2%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
전화번호 has 12 (54.5%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명주소 has 9 (40.9%) missing valuesMissing
도로명우편번호 has 9 (40.9%) missing valuesMissing
업태구분명 has 22 (100.0%) missing valuesMissing
좌표정보(X) has 4 (18.2%) missing valuesMissing
좌표정보(Y) has 4 (18.2%) missing valuesMissing
축산물가공업구분명 has 22 (100.0%) missing valuesMissing
축산일련번호 has 22 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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 19:04:40.385644
Analysis finished2024-04-29 19:04:41.037472
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
3000000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 22
100.0%

Length

2024-04-30T04:04:41.095308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:41.173123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 22
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3 × 1017
Minimum3 × 1017
Maximum3 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:04:41.256418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3 × 1017
Q13 × 1017
median3 × 1017
Q33 × 1017
95-th percentile3 × 1017
Maximum3 × 1017
Range370001
Interquartile range (IQR)202560

Descriptive statistics

Standard deviation111737.75
Coefficient of variation (CV)3.7245917 × 10-13
Kurtosis-0.89540246
Mean3 × 1017
Median Absolute Deviation (MAD)105024
Skewness-0.48574517
Sum6.6 × 1018
Variance1.2485325 × 1010
MonotonicityStrictly increasing
2024-04-30T04:04:41.353316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
300000001319860001 1
 
4.5%
300000001320200001 1
 
4.5%
300000001320230002 1
 
4.5%
300000001320230001 1
 
4.5%
300000001320220004 1
 
4.5%
300000001320220003 1
 
4.5%
300000001320220002 1
 
4.5%
300000001320220001 1
 
4.5%
300000001320210003 1
 
4.5%
300000001320210002 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
300000001319860001 1
4.5%
300000001319970001 1
4.5%
300000001319990001 1
4.5%
300000001320000001 1
4.5%
300000001320010001 1
4.5%
300000001320010002 1
4.5%
300000001320030001 1
4.5%
300000001320030002 1
4.5%
300000001320040001 1
4.5%
300000001320100001 1
4.5%
ValueCountFrequency (%)
300000001320230002 1
4.5%
300000001320230001 1
4.5%
300000001320220004 1
4.5%
300000001320220003 1
4.5%
300000001320220002 1
4.5%
300000001320220001 1
4.5%
300000001320210003 1
4.5%
300000001320210002 1
4.5%
300000001320210001 1
4.5%
300000001320200001 1
4.5%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1986-07-02 00:00:00
Maximum2023-11-02 00:00:00
2024-04-30T04:04:41.449224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:04:41.542408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B
Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
1
15 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
68.2%
3 6
 
27.3%
4 1
 
4.5%

Length

2024-04-30T04:04:41.631663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:41.713885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
68.2%
3 6
 
27.3%
4 1
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
영업/정상
15 
폐업
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.5909091
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
68.2%
폐업 6
 
27.3%
취소/말소/만료/정지/중지 1
 
4.5%

Length

2024-04-30T04:04:41.811590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:41.904110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
68.2%
폐업 6
 
27.3%
취소/말소/만료/정지/중지 1
 
4.5%
Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
15 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
68.2%
2 6
 
27.3%
4 1
 
4.5%

Length

2024-04-30T04:04:42.004413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:42.083866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
68.2%
2 6
 
27.3%
4 1
 
4.5%
Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
정상
15 
폐업
말소
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
정상 15
68.2%
폐업 6
 
27.3%
말소 1
 
4.5%

Length

2024-04-30T04:04:42.172489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:42.258067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 15
68.2%
폐업 6
 
27.3%
말소 1
 
4.5%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)85.7%
Missing15
Missing (%)68.2%
Memory size308.0 B
Minimum2003-11-07 00:00:00
Maximum2023-11-02 00:00:00
2024-04-30T04:04:42.336728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:04:42.421228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing12
Missing (%)54.5%
Memory size308.0 B
2024-04-30T04:04:42.553544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.8
Min length8

Characters and Unicode

Total characters98
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st row2274-4335~6
2nd row2273-0224
3rd row743-2240
4th row2273-8489
5th row2232-3514
ValueCountFrequency (%)
2274-4335~6 1
10.0%
2273-0224 1
10.0%
743-2240 1
10.0%
2273-8489 1
10.0%
2232-3514 1
10.0%
762-7611 1
10.0%
02-741-1461 1
10.0%
07049194123 1
10.0%
02-730-6113 1
10.0%
02-739-5580 1
10.0%
2024-04-30T04:04:42.810905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 18
18.4%
- 12
12.2%
4 11
11.2%
3 11
11.2%
7 10
10.2%
1 10
10.2%
0 9
9.2%
6 5
 
5.1%
5 4
 
4.1%
9 4
 
4.1%
Other values (2) 4
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85
86.7%
Dash Punctuation 12
 
12.2%
Math Symbol 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
21.2%
4 11
12.9%
3 11
12.9%
7 10
11.8%
1 10
11.8%
0 9
10.6%
6 5
 
5.9%
5 4
 
4.7%
9 4
 
4.7%
8 3
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 18
18.4%
- 12
12.2%
4 11
11.2%
3 11
11.2%
7 10
10.2%
1 10
10.2%
0 9
9.2%
6 5
 
5.1%
5 4
 
4.1%
9 4
 
4.1%
Other values (2) 4
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 18
18.4%
- 12
12.2%
4 11
11.2%
3 11
11.2%
7 10
10.2%
1 10
10.2%
0 9
9.2%
6 5
 
5.1%
5 4
 
4.1%
9 4
 
4.1%
Other values (2) 4
 
4.1%

소재지면적
Categorical

Distinct5
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
10 
0.0
32.99
 
1
35.7
 
1
40.2
 
1

Length

Max length5
Median length4
Mean length3.6363636
Min length3

Unique

Unique3 ?
Unique (%)13.6%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
<NA> 10
45.5%
0.0 9
40.9%
32.99 1
 
4.5%
35.7 1
 
4.5%
40.2 1
 
4.5%

Length

2024-04-30T04:04:42.936685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:43.036486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
45.5%
0.0 9
40.9%
32.99 1
 
4.5%
35.7 1
 
4.5%
40.2 1
 
4.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B
Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T04:04:43.180566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length25.636364
Min length16

Characters and Unicode

Total characters564
Distinct characters82
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

Unique20 ?
Unique (%)90.9%

Sample

1st row서울특별시 종로구 장사동 **번지 *층*호
2nd row서울특별시 종로구 묘동 ***-*번지
3rd row서울특별시 종로구 종로*가 ***-*번지 (*층)
4th row서울특별시 종로구 연지동 ***-** 번지 한국기독교연합회관****호
5th row서울특별시 종로구 종로*가 ***번지
ValueCountFrequency (%)
서울특별시 22
20.2%
종로구 22
20.2%
14
12.8%
번지 10
9.2%
종로*가 5
 
4.6%
숭인동 4
 
3.7%
3
 
2.8%
인의동 2
 
1.8%
묘동 2
 
1.8%
장사동 2
 
1.8%
Other values (22) 23
21.1%
2024-04-30T04:04:43.473746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
18.8%
* 101
17.9%
28
 
5.0%
28
 
5.0%
23
 
4.1%
22
 
3.9%
22
 
3.9%
22
 
3.9%
22
 
3.9%
22
 
3.9%
Other values (72) 168
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
59.4%
Space Separator 106
 
18.8%
Other Punctuation 101
 
17.9%
Dash Punctuation 13
 
2.3%
Decimal Number 7
 
1.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
8.4%
28
 
8.4%
23
 
6.9%
22
 
6.6%
22
 
6.6%
22
 
6.6%
22
 
6.6%
22
 
6.6%
18
 
5.4%
11
 
3.3%
Other values (60) 117
34.9%
Decimal Number
ValueCountFrequency (%)
9 1
14.3%
1 1
14.3%
2 1
14.3%
7 1
14.3%
8 1
14.3%
3 1
14.3%
0 1
14.3%
Space Separator
ValueCountFrequency (%)
106
100.0%
Other Punctuation
ValueCountFrequency (%)
* 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
59.4%
Common 229
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
8.4%
28
 
8.4%
23
 
6.9%
22
 
6.6%
22
 
6.6%
22
 
6.6%
22
 
6.6%
22
 
6.6%
18
 
5.4%
11
 
3.3%
Other values (60) 117
34.9%
Common
ValueCountFrequency (%)
106
46.3%
* 101
44.1%
- 13
 
5.7%
9 1
 
0.4%
1 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
3 1
 
0.4%
0 1
 
0.4%
Other values (2) 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
59.4%
ASCII 229
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
46.3%
* 101
44.1%
- 13
 
5.7%
9 1
 
0.4%
1 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
3 1
 
0.4%
0 1
 
0.4%
Other values (2) 2
 
0.9%
Hangul
ValueCountFrequency (%)
28
 
8.4%
28
 
8.4%
23
 
6.9%
22
 
6.6%
22
 
6.6%
22
 
6.6%
22
 
6.6%
22
 
6.6%
18
 
5.4%
11
 
3.3%
Other values (60) 117
34.9%

도로명주소
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing9
Missing (%)40.9%
Memory size308.0 B
2024-04-30T04:04:43.631377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length31.076923
Min length22

Characters and Unicode

Total characters404
Distinct characters76
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

Unique11 ?
Unique (%)84.6%

Sample

1st row서울특별시 종로구 돈화문로 **-* (묘동)
2nd row서울특별시 종로구 종로 *** (종로*가)
3rd row서울특별시 종로구 동순라길 **-*, *층 (인의동)
4th row서울특별시 종로구 종로 ***(종로*가)
5th row서울특별시 종로구 돈화문로**가길 **, ***호 (익선동, 현대뜨레비앙)
ValueCountFrequency (%)
서울특별시 13
16.5%
종로구 13
16.5%
11
13.9%
4
 
5.1%
3
 
3.8%
종로 3
 
3.8%
동순라길 2
 
2.5%
인의동 2
 
2.5%
숭인동 2
 
2.5%
종로*가 2
 
2.5%
Other values (24) 24
30.4%
2024-04-30T04:04:43.915527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
16.3%
* 55
 
13.6%
25
 
6.2%
19
 
4.7%
14
 
3.5%
14
 
3.5%
13
 
3.2%
) 13
 
3.2%
( 13
 
3.2%
13
 
3.2%
Other values (66) 159
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
57.7%
Other Punctuation 67
 
16.6%
Space Separator 66
 
16.3%
Close Punctuation 13
 
3.2%
Open Punctuation 13
 
3.2%
Decimal Number 9
 
2.2%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
10.7%
19
 
8.2%
14
 
6.0%
14
 
6.0%
13
 
5.6%
13
 
5.6%
13
 
5.6%
13
 
5.6%
13
 
5.6%
6
 
2.6%
Other values (54) 90
38.6%
Decimal Number
ValueCountFrequency (%)
6 2
22.2%
0 2
22.2%
1 2
22.2%
3 1
11.1%
7 1
11.1%
2 1
11.1%
Other Punctuation
ValueCountFrequency (%)
* 55
82.1%
, 12
 
17.9%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
57.7%
Common 171
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
10.7%
19
 
8.2%
14
 
6.0%
14
 
6.0%
13
 
5.6%
13
 
5.6%
13
 
5.6%
13
 
5.6%
13
 
5.6%
6
 
2.6%
Other values (54) 90
38.6%
Common
ValueCountFrequency (%)
66
38.6%
* 55
32.2%
) 13
 
7.6%
( 13
 
7.6%
, 12
 
7.0%
- 3
 
1.8%
6 2
 
1.2%
0 2
 
1.2%
1 2
 
1.2%
3 1
 
0.6%
Other values (2) 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
57.7%
ASCII 171
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
38.6%
* 55
32.2%
) 13
 
7.6%
( 13
 
7.6%
, 12
 
7.0%
- 3
 
1.8%
6 2
 
1.2%
0 2
 
1.2%
1 2
 
1.2%
3 1
 
0.6%
Other values (2) 2
 
1.2%
Hangul
ValueCountFrequency (%)
25
 
10.7%
19
 
8.2%
14
 
6.0%
14
 
6.0%
13
 
5.6%
13
 
5.6%
13
 
5.6%
13
 
5.6%
13
 
5.6%
6
 
2.6%
Other values (54) 90
38.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing9
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean3118.6923
Minimum3020
Maximum3180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:04:44.021967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3020
5-th percentile3029
Q13115
median3126
Q33137
95-th percentile3171
Maximum3180
Range160
Interquartile range (IQR)22

Descriptive statistics

Standard deviation44.770497
Coefficient of variation (CV)0.014355535
Kurtosis1.669763
Mean3118.6923
Median Absolute Deviation (MAD)11
Skewness-1.3109892
Sum40543
Variance2004.3974
MonotonicityNot monotonic
2024-04-30T04:04:44.124591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3137 2
 
9.1%
3139 1
 
4.5%
3126 1
 
4.5%
3124 1
 
4.5%
3132 1
 
4.5%
3121 1
 
4.5%
3020 1
 
4.5%
3115 1
 
4.5%
3035 1
 
4.5%
3180 1
 
4.5%
Other values (2) 2
 
9.1%
(Missing) 9
40.9%
ValueCountFrequency (%)
3020 1
4.5%
3035 1
4.5%
3112 1
4.5%
3115 1
4.5%
3121 1
4.5%
3124 1
4.5%
3126 1
4.5%
3132 1
4.5%
3137 2
9.1%
3139 1
4.5%
ValueCountFrequency (%)
3180 1
4.5%
3165 1
4.5%
3139 1
4.5%
3137 2
9.1%
3132 1
4.5%
3126 1
4.5%
3124 1
4.5%
3121 1
4.5%
3115 1
4.5%
3112 1
4.5%
Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T04:04:44.288290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length7.3181818
Min length3

Characters and Unicode

Total characters161
Distinct characters73
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

Unique18 ?
Unique (%)81.8%

Sample

1st row피씨상사
2nd row장우양행(주)
3rd row동경메디교역상사
4th row대명메디칼
5th row대명의료기
ValueCountFrequency (%)
주식회사 3
 
12.0%
주)천양사의료과학 2
 
8.0%
장우양행(주 2
 
8.0%
로운트리 1
 
4.0%
cu종로교남점 1
 
4.0%
주)더던 1
 
4.0%
픽서(fixer 1
 
4.0%
펫월드 1
 
4.0%
란제리하우스 1
 
4.0%
주)아이바이오사이언스 1
 
4.0%
Other values (11) 11
44.0%
2024-04-30T04:04:44.549726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
7.5%
( 10
 
6.2%
) 10
 
6.2%
8
 
5.0%
5
 
3.1%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (63) 96
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
81.4%
Open Punctuation 10
 
6.2%
Close Punctuation 10
 
6.2%
Lowercase Letter 5
 
3.1%
Space Separator 3
 
1.9%
Uppercase Letter 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
9.2%
8
 
6.1%
5
 
3.8%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.3%
Other values (53) 79
60.3%
Lowercase Letter
ValueCountFrequency (%)
r 1
20.0%
e 1
20.0%
x 1
20.0%
c 1
20.0%
u 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
81.4%
Common 23
 
14.3%
Latin 7
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
9.2%
8
 
6.1%
5
 
3.8%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.3%
Other values (53) 79
60.3%
Latin
ValueCountFrequency (%)
r 1
14.3%
e 1
14.3%
I 1
14.3%
F 1
14.3%
x 1
14.3%
c 1
14.3%
u 1
14.3%
Common
ValueCountFrequency (%)
( 10
43.5%
) 10
43.5%
3
 
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
81.4%
ASCII 30
 
18.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
9.2%
8
 
6.1%
5
 
3.8%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
4
 
3.1%
3
 
2.3%
Other values (53) 79
60.3%
ASCII
ValueCountFrequency (%)
( 10
33.3%
) 10
33.3%
3
 
10.0%
r 1
 
3.3%
e 1
 
3.3%
I 1
 
3.3%
F 1
 
3.3%
x 1
 
3.3%
c 1
 
3.3%
u 1
 
3.3%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2003-02-11 10:46:23
Maximum2023-11-27 15:18:50
2024-04-30T04:04:44.647896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:04:44.751254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
I
17 
U

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 17
77.3%
U 5
 
22.7%

Length

2024-04-30T04:04:44.847316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:44.924974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 17
77.3%
u 5
 
22.7%
Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2022-11-30 22:02:00
2024-04-30T04:04:44.999806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:04:45.096434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing4
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean199434.39
Minimum196578.44
Maximum201911.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:04:45.205535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196578.44
5-th percentile196655.31
Q1199085.71
median199369.98
Q3200630.77
95-th percentile201721.11
Maximum201911.14
Range5332.6979
Interquartile range (IQR)1545.0586

Descriptive statistics

Standard deviation1716.155
Coefficient of variation (CV)0.0086051109
Kurtosis-0.74065777
Mean199434.39
Median Absolute Deviation (MAD)1208.2096
Skewness-0.33531123
Sum3589819
Variance2945188.1
MonotonicityNot monotonic
2024-04-30T04:04:45.308234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
199662.445551116 2
 
9.1%
201273.887781838 1
 
4.5%
196578.438801188 1
 
4.5%
201670.858168111 1
 
4.5%
196881.585998335 1
 
4.5%
197172.192218809 1
 
4.5%
201687.573879734 1
 
4.5%
196668.877563099 1
 
4.5%
199330.08420518 1
 
4.5%
199186.340950558 1
 
4.5%
Other values (7) 7
31.8%
(Missing) 4
18.2%
ValueCountFrequency (%)
196578.438801188 1
4.5%
196668.877563099 1
4.5%
196881.585998335 1
4.5%
197172.192218809 1
4.5%
199052.164234663 1
4.5%
199186.340950558 1
4.5%
199193.286476914 1
4.5%
199321.4036677 1
4.5%
199330.08420518 1
4.5%
199409.869494495 1
4.5%
ValueCountFrequency (%)
201911.136750205 1
4.5%
201687.573879734 1
4.5%
201670.858168111 1
4.5%
201273.887781838 1
4.5%
200683.347665068 1
4.5%
200473.025169433 1
4.5%
199662.445551116 2
9.1%
199409.869494495 1
4.5%
199330.08420518 1
4.5%
199321.4036677 1
4.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)94.4%
Missing4
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean452408.09
Minimum451682.37
Maximum455055.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T04:04:45.407167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451682.37
5-th percentile451926.5
Q1452025.44
median452169.67
Q3452405.25
95-th percentile453681.47
Maximum455055.26
Range3372.8956
Interquartile range (IQR)379.80265

Descriptive statistics

Standard deviation757.1838
Coefficient of variation (CV)0.0016736743
Kurtosis9.3098055
Mean452408.09
Median Absolute Deviation (MAD)188.96092
Skewness2.8750204
Sum8143345.6
Variance573327.31
MonotonicityNot monotonic
2024-04-30T04:04:45.497954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
452313.713241533 2
 
9.1%
452163.292543039 1
 
4.5%
452129.33094623 1
 
4.5%
452572.102189428 1
 
4.5%
451682.368379486 1
 
4.5%
453439.030689841 1
 
4.5%
452408.346754198 1
 
4.5%
455055.264019484 1
 
4.5%
451969.581791637 1
 
4.5%
452176.045068543 1
 
4.5%
Other values (7) 7
31.8%
(Missing) 4
18.2%
ValueCountFrequency (%)
451682.368379486 1
4.5%
451969.581791637 1
4.5%
451975.769220458 1
4.5%
451985.646550196 1
4.5%
451996.572116316 1
4.5%
452112.059771326 1
4.5%
452121.204130185 1
4.5%
452129.33094623 1
4.5%
452163.292543039 1
4.5%
452176.045068543 1
4.5%
ValueCountFrequency (%)
455055.264019484 1
4.5%
453439.030689841 1
4.5%
452572.102189428 1
4.5%
452535.569961658 1
4.5%
452408.346754198 1
4.5%
452395.946444233 1
4.5%
452313.713241533 2
9.1%
452176.045068543 1
4.5%
452163.292543039 1
4.5%
452129.33094623 1
4.5%
Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
동물용의료용구판매업
14 
<NA>

Length

Max length10
Median length10
Mean length7.8181818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 14
63.6%
<NA> 8
36.4%

Length

2024-04-30T04:04:45.614905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:45.719889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 14
63.6%
na 8
36.4%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)100.0%
Memory size330.0 B
Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
000
<NA>
L00

Length

Max length4
Median length3
Mean length3.3636364
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd rowL00
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 9
40.9%
<NA> 8
36.4%
L00 5
22.7%

Length

2024-04-30T04:04:45.813955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:45.903753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 9
40.9%
na 8
36.4%
l00 5
22.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
20 
0
 
2

Length

Max length4
Median length4
Mean length3.7272727
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> 20
90.9%
0 2
 
9.1%

Length

2024-04-30T04:04:45.992808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:04:46.267928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
90.9%
0 2
 
9.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0300000030000000131986000119860702<NA>1영업/정상0정상<NA><NA><NA><NA>2274-4335~60.0<NA>서울특별시 종로구 장사동 **번지 *층*호<NA><NA>피씨상사2003-02-11 10:46:23I2018-08-31 23:59:59.0<NA>199330.084205451969.581792동물용의료용구판매업<NA><NA>000<NA>
1300000030000000131997000119970429<NA>3폐업2폐업20100726<NA><NA><NA><NA>0.0<NA>서울특별시 종로구 묘동 ***-*번지서울특별시 종로구 돈화문로 **-* (묘동)3139장우양행(주)2012-03-22 18:05:18I2018-08-31 23:59:59.0<NA>199186.340951452176.045069동물용의료용구판매업<NA><NA>L00<NA>
2300000030000000131999000119990406<NA>1영업/정상0정상<NA><NA><NA><NA>2273-02240.0<NA>서울특별시 종로구 종로*가 ***-*번지 (*층)<NA><NA>동경메디교역상사2003-02-11 10:47:09I2018-08-31 23:59:59.0<NA>199193.286477451975.76922동물용의료용구판매업<NA><NA>000<NA>
3300000030000000132000000120001002<NA>3폐업2폐업20031107<NA><NA><NA>743-22400.0<NA>서울특별시 종로구 연지동 ***-** 번지 한국기독교연합회관****호<NA><NA>대명메디칼2003-11-07 16:27:16I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
4300000030000000132001000120010821<NA>3폐업2폐업20110825<NA><NA><NA><NA>0.0<NA>서울특별시 종로구 종로*가 ***번지<NA><NA>대명의료기2011-08-25 17:46:46I2018-08-31 23:59:59.0<NA>199409.869494451996.572116동물용의료용구판매업<NA><NA>000<NA>
5300000030000000132001000220010925<NA>3폐업2폐업20100726<NA><NA><NA><NA>0.0<NA>서울특별시 종로구 묘동 ***-* 번지<NA><NA>장우양행(주)2010-07-26 17:04:49I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
6300000030000000132003000120030904<NA>1영업/정상0정상<NA><NA><NA><NA>2273-848932.99<NA>서울특별시 종로구 종로*가 ***번지 금천빌딩***<NA><NA>(주)영동싸이언스2003-09-04 11:42:18I2018-08-31 23:59:59.0<NA>199321.403668451985.64655동물용의료용구판매업<NA><NA>L00<NA>
7300000030000000132003000220031112<NA>3폐업2폐업20051104<NA><NA><NA><NA>35.7<NA>서울특별시 종로구 장사동 ***-* 번지 종로세운상가 라열***호<NA><NA>원에스피2005-11-04 16:10:58I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
8300000030000000132004000120040226<NA>1영업/정상0정상<NA><NA><NA><NA>2232-351440.2<NA>서울특별시 종로구 숭인동 ****번지 타임빌딩***호<NA><NA>(주)메드로코리아2004-12-13 14:00:35I2018-08-31 23:59:59.0<NA>201911.13675452395.946444동물용의료용구판매업<NA><NA>L00<NA>
9300000030000000132010000120100624<NA>1영업/정상0정상<NA><NA><NA><NA>762-76110.0<NA>서울특별시 종로구 숭인동 ***-*** *층<NA><NA>바다르산스(주)2010-06-24 16:53:40I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
12300000030000000132020000120200424<NA>1영업/정상0정상<NA><NA><NA><NA>02-741-1461<NA><NA>서울특별시 종로구 종로*가 **-*서울특별시 종로구 종로 ***(종로*가)3124주식회사 통일의료기2021-09-23 10:26:44U2021-09-25 02:40:00.0<NA>200683.347665452121.20413동물용의료용구판매업<NA><NA>L000
13300000030000000132021000120210105<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 익선동 ** 현대뜨레비앙서울특별시 종로구 돈화문로**가길 **, ***호 (익선동, 현대뜨레비앙)3132(주)아이바이오사이언스2021-01-07 17:08:01U2021-01-09 02:40:00.0<NA>199052.164235452535.569962동물용의료용구판매업<NA><NA>L00<NA>
14300000030000000132021000220210727<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 ***-** 삼우텍스프라자서울특별시 종로구 지봉로 **, 삼우텍스프라자 (창신동)3121란제리하우스2021-07-27 11:00:11I2021-07-29 00:22:51.0<NA>201273.887782452163.292543동물용의료용구판매업<NA><NA>0000
15300000030000000132021000320210928<NA>3폐업2폐업20221219<NA><NA><NA><NA><NA><NA>서울특별시 종로구 부암동 129-8 타임730오피스텔서울특별시 종로구 자하문로 266, 타임730오피스텔 101호 (부암동)3020펫월드2022-12-20 09:39:21U2021-11-01 22:02:00.0<NA>196668.877563455055.264019<NA><NA><NA><NA><NA>
16300000030000000132022000120220425<NA>1영업/정상0정상<NA><NA><NA><NA>07049194123<NA><NA>서울특별시 종로구 숭인동 ***-** 엘리시앙오피스텔 ***호서울특별시 종로구 종로 ***, 엘리시앙오피스텔 ***호 (숭인동)3115주식회사 픽서(FIxer)2022-04-28 16:48:29U2021-12-03 21:00:00.0<NA>201687.57388452408.346754<NA><NA><NA><NA><NA>
17300000030000000132022000220220520<NA>1영업/정상0정상<NA><NA><NA><NA>02-730-6113<NA><NA>서울특별시 종로구 신교동 **-** *층서울특별시 종로구 자하문로**길 **, *층 (신교동)3035(주)더던2022-05-20 10:02:50I2021-12-04 22:02:00.0<NA>197172.192219453439.03069<NA><NA><NA><NA><NA>
18300000030000000132022000320220714<NA>1영업/정상0정상<NA><NA><NA><NA>02-739-5580<NA><NA>서울특별시 종로구 교남동 ** 우성빌딩 *호서울특별시 종로구 통일로 ***, *호 (교남동)3180cu종로교남점2022-07-14 09:11:57I2021-12-06 23:06:00.0<NA>196881.585998451682.368379<NA><NA><NA><NA><NA>
19300000030000000132022000420221018<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 ***-** 운영빌딩서울특별시 종로구 종로**길 **, 운영빌딩 비**호 (숭인동)3112주식회사 로운트리2022-10-19 09:56:57I2021-10-30 22:01:00.0<NA>201670.858168452572.102189<NA><NA><NA><NA><NA>
20300000030000000132023000120230120<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 교북동 *** 동아아파트서울특별시 종로구 송월길 ***, ***호 (교북동, 동아아파트)3165루원쇼핑2023-01-20 15:08:51I2022-11-30 22:02:00.0<NA>196578.438801452129.330946<NA><NA><NA><NA><NA>
2130000003000000013202300022023-11-02<NA>4취소/말소/만료/정지/중지4말소2023-11-02<NA><NA><NA><NA><NA><NA>서울특별시 종로구 인의동 **서울특별시 종로구 동순라길 **-*, *층 (인의동)3137(주)천양사의료과학2023-11-27 15:18:50U2022-10-31 22:09:00.0<NA>199662.445551452313.713242<NA><NA><NA><NA><NA>