Overview

Dataset statistics

Number of variables30
Number of observations21
Missing cells196
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory263.3 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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16547/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (72.4%)Imbalance
인허가취소일자 has 21 (100.0%) missing valuesMissing
폐업일자 has 15 (71.4%) missing valuesMissing
휴업시작일자 has 21 (100.0%) missing valuesMissing
휴업종료일자 has 21 (100.0%) missing valuesMissing
재개업일자 has 21 (100.0%) missing valuesMissing
전화번호 has 9 (42.9%) missing valuesMissing
소재지우편번호 has 21 (100.0%) missing valuesMissing
도로명주소 has 1 (4.8%) missing valuesMissing
도로명우편번호 has 1 (4.8%) missing valuesMissing
업태구분명 has 21 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.8%) missing valuesMissing
좌표정보(Y) has 1 (4.8%) missing valuesMissing
축산물가공업구분명 has 21 (100.0%) missing valuesMissing
축산일련번호 has 21 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 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 started2024-05-11 06:02:27.897864
Analysis finished2024-05-11 06:02:28.413147
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
3060000
21 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 21
100.0%

Length

2024-05-11T15:02:28.523285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:28.700850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 21
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.06 × 1017
Minimum3.06 × 1017
Maximum3.06 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:02:28.891739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.06 × 1017
5-th percentile3.06 × 1017
Q13.06 × 1017
median3.06 × 1017
Q33.06 × 1017
95-th percentile3.06 × 1017
Maximum3.06 × 1017
Range230009
Interquartile range (IQR)60032

Descriptive statistics

Standard deviation68317.399
Coefficient of variation (CV)2.2325947 × 10-13
Kurtosis2.4297202
Mean3.06 × 1017
Median Absolute Deviation (MAD)10048
Skewness-1.838683
Sum6.426 × 1018
Variance4.6672671 × 109
MonotonicityStrictly increasing
2024-05-11T15:02:29.114109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
306000001319990001 1
 
4.8%
306000001320040001 1
 
4.8%
306000001320220010 1
 
4.8%
306000001320220009 1
 
4.8%
306000001320220008 1
 
4.8%
306000001320220007 1
 
4.8%
306000001320220006 1
 
4.8%
306000001320220005 1
 
4.8%
306000001320220004 1
 
4.8%
306000001320220003 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
306000001319990001 1
4.8%
306000001320040001 1
4.8%
306000001320050001 1
4.8%
306000001320140001 1
4.8%
306000001320160001 1
4.8%
306000001320160002 1
4.8%
306000001320190001 1
4.8%
306000001320190002 1
4.8%
306000001320200001 1
4.8%
306000001320210001 1
4.8%
ValueCountFrequency (%)
306000001320220010 1
4.8%
306000001320220009 1
4.8%
306000001320220008 1
4.8%
306000001320220007 1
4.8%
306000001320220006 1
4.8%
306000001320220005 1
4.8%
306000001320220004 1
4.8%
306000001320220003 1
4.8%
306000001320220002 1
4.8%
306000001320220001 1
4.8%

인허가일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1999-01-14 00:00:00
Maximum2022-09-21 00:00:00
2024-05-11T15:02:29.326634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:02:29.539377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
1
15 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
71.4%
3 6
 
28.6%

Length

2024-05-11T15:02:29.814469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:29.982825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
71.4%
3 6
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
영업/정상
15 
폐업
6 

Length

Max length5
Median length5
Mean length4.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
71.4%
폐업 6
 
28.6%

Length

2024-05-11T15:02:30.187791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:30.379253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
71.4%
폐업 6
 
28.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
15 
2
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
71.4%
2 6
 
28.6%

Length

2024-05-11T15:02:30.548394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:30.731838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
71.4%
2 6
 
28.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
정상
15 
폐업
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 15
71.4%
폐업 6
 
28.6%

Length

2024-05-11T15:02:30.917371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:31.111558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 15
71.4%
폐업 6
 
28.6%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing15
Missing (%)71.4%
Memory size300.0 B
Minimum2007-11-07 00:00:00
Maximum2023-12-01 00:00:00
2024-05-11T15:02:31.290216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:02:31.477530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing9
Missing (%)42.9%
Memory size300.0 B
2024-05-11T15:02:31.745370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.833333
Min length8

Characters and Unicode

Total characters130
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row2207-2344
2nd row494-2221
3rd row02-948-4934
4th row02-973-0692
5th row02-2237-1008
ValueCountFrequency (%)
2207-2344 1
8.3%
494-2221 1
8.3%
02-948-4934 1
8.3%
02-973-0692 1
8.3%
02-2237-1008 1
8.3%
02-492-9777 1
8.3%
02-438-7551 1
8.3%
070-4100-3320 1
8.3%
02-2039-2149 1
8.3%
02-2024-8124 1
8.3%
Other values (2) 2
16.7%
2024-05-11T15:02:32.258615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 25
19.2%
0 21
16.2%
- 21
16.2%
4 14
10.8%
9 12
9.2%
3 11
8.5%
7 8
 
6.2%
1 8
 
6.2%
8 6
 
4.6%
5 3
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109
83.8%
Dash Punctuation 21
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 25
22.9%
0 21
19.3%
4 14
12.8%
9 12
11.0%
3 11
10.1%
7 8
 
7.3%
1 8
 
7.3%
8 6
 
5.5%
5 3
 
2.8%
6 1
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 25
19.2%
0 21
16.2%
- 21
16.2%
4 14
10.8%
9 12
9.2%
3 11
8.5%
7 8
 
6.2%
1 8
 
6.2%
8 6
 
4.6%
5 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 25
19.2%
0 21
16.2%
- 21
16.2%
4 14
10.8%
9 12
9.2%
3 11
8.5%
7 8
 
6.2%
1 8
 
6.2%
8 6
 
4.6%
5 3
 
2.3%

소재지면적
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
18 
0
3 

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
85.7%
0 3
 
14.3%

Length

2024-05-11T15:02:32.492681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:32.686766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
85.7%
0 3
 
14.3%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T15:02:32.969249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length25.333333
Min length17

Characters and Unicode

Total characters532
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 면목동 ***-**번지
2nd row서울특별시 중랑구 중화동 ***-* 정광빌딩 ***호
3rd row서울특별시 중랑구 신내동 ***-* 번지 대유빌딩*층
4th row서울특별시 중랑구 묵동 ***-**번지 B동 ***호
5th row서울특별시 중랑구 묵동 ***-***번지
ValueCountFrequency (%)
서울특별시 21
20.0%
중랑구 18
17.1%
15
14.3%
면목동 7
 
6.7%
번지 7
 
6.7%
호 4
 
3.8%
묵동 4
 
3.8%
등촌동 3
 
2.9%
상봉동 3
 
2.9%
강서구 3
 
2.9%
Other values (19) 20
19.0%
2024-05-11T15:02:33.566792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 104
19.5%
94
17.7%
서 25
 
4.7%
동 24
 
4.5%
울 23
 
4.3%
시 22
 
4.1%
특 21
 
3.9%
별 21
 
3.9%
구 21
 
3.9%
중 19
 
3.6%
Other values (63) 158
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
59.0%
Other Punctuation 104
 
19.5%
Space Separator 94
 
17.7%
Dash Punctuation 16
 
3.0%
Uppercase Letter 2
 
0.4%
Lowercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 25
 
8.0%
동 24
 
7.6%
울 23
 
7.3%
시 22
 
7.0%
특 21
 
6.7%
별 21
 
6.7%
구 21
 
6.7%
중 19
 
6.1%
랑 18
 
5.7%
번 7
 
2.2%
Other values (56) 113
36.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
k 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 104
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
59.0%
Common 214
40.2%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 25
 
8.0%
동 24
 
7.6%
울 23
 
7.3%
시 22
 
7.0%
특 21
 
6.7%
별 21
 
6.7%
구 21
 
6.7%
중 19
 
6.1%
랑 18
 
5.7%
번 7
 
2.2%
Other values (56) 113
36.0%
Latin
ValueCountFrequency (%)
M 1
25.0%
B 1
25.0%
s 1
25.0%
k 1
25.0%
Common
ValueCountFrequency (%)
* 104
48.6%
94
43.9%
- 16
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
59.0%
ASCII 218
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 104
47.7%
94
43.1%
- 16
 
7.3%
M 1
 
0.5%
B 1
 
0.5%
s 1
 
0.5%
k 1
 
0.5%
Hangul
ValueCountFrequency (%)
서 25
 
8.0%
동 24
 
7.6%
울 23
 
7.3%
시 22
 
7.0%
특 21
 
6.7%
별 21
 
6.7%
구 21
 
6.7%
중 19
 
6.1%
랑 18
 
5.7%
번 7
 
2.2%
Other values (56) 113
36.0%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing1
Missing (%)4.8%
Memory size300.0 B
2024-05-11T15:02:33.914225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length35
Mean length31.95
Min length23

Characters and Unicode

Total characters639
Distinct characters81
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

Unique18 ?
Unique (%)90.0%

Sample

1st row서울특별시 중랑구 동일로 *** (면목동)
2nd row서울특별시 중랑구 중랑천로 ***, ***호 (중화동, 정광빌딩)
3rd row서울특별시 중랑구 동일로***길 **, B동 ***호 (묵동)
4th row서울특별시 중랑구 중랑역로 ***-*, *층 (묵동)
5th row서울특별시 중랑구 면목로 ***, *층 (면목동, 칠성빌딩)
ValueCountFrequency (%)
서울특별시 20
16.1%
중랑구 20
16.1%
17
13.7%
면목동 8
 
6.5%
호 6
 
4.8%
층 6
 
4.8%
상봉동 4
 
3.2%
묵동 4
 
3.2%
용마산로 3
 
2.4%
망우로 3
 
2.4%
Other values (29) 33
26.6%
2024-05-11T15:02:34.449878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
16.6%
* 97
 
15.2%
동 28
 
4.4%
중 23
 
3.6%
랑 22
 
3.4%
울 22
 
3.4%
서 21
 
3.3%
시 21
 
3.3%
, 21
 
3.3%
) 20
 
3.1%
Other values (71) 258
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
57.9%
Other Punctuation 118
 
18.5%
Space Separator 106
 
16.6%
Close Punctuation 20
 
3.1%
Open Punctuation 20
 
3.1%
Dash Punctuation 3
 
0.5%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 28
 
7.6%
중 23
 
6.2%
랑 22
 
5.9%
울 22
 
5.9%
서 21
 
5.7%
시 21
 
5.7%
로 20
 
5.4%
구 20
 
5.4%
별 20
 
5.4%
특 20
 
5.4%
Other values (63) 153
41.4%
Other Punctuation
ValueCountFrequency (%)
* 97
82.2%
, 21
 
17.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
57.9%
Common 267
41.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 28
 
7.6%
중 23
 
6.2%
랑 22
 
5.9%
울 22
 
5.9%
서 21
 
5.7%
시 21
 
5.7%
로 20
 
5.4%
구 20
 
5.4%
별 20
 
5.4%
특 20
 
5.4%
Other values (63) 153
41.4%
Common
ValueCountFrequency (%)
106
39.7%
* 97
36.3%
, 21
 
7.9%
) 20
 
7.5%
( 20
 
7.5%
- 3
 
1.1%
Latin
ValueCountFrequency (%)
M 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
57.9%
ASCII 269
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
39.4%
* 97
36.1%
, 21
 
7.8%
) 20
 
7.4%
( 20
 
7.4%
- 3
 
1.1%
M 1
 
0.4%
B 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 28
 
7.6%
중 23
 
6.2%
랑 22
 
5.9%
울 22
 
5.9%
서 21
 
5.7%
시 21
 
5.7%
로 20
 
5.4%
구 20
 
5.4%
별 20
 
5.4%
특 20
 
5.4%
Other values (63) 153
41.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean2134.45
Minimum2006
Maximum2246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:02:34.662025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2006.95
Q12054.75
median2138
Q32220.5
95-th percentile2239.35
Maximum2246
Range240
Interquartile range (IQR)165.75

Descriptive statistics

Standard deviation85.025987
Coefficient of variation (CV)0.03983508
Kurtosis-1.4481714
Mean2134.45
Median Absolute Deviation (MAD)84
Skewness-0.17191968
Sum42689
Variance7229.4184
MonotonicityNot monotonic
2024-05-11T15:02:34.854825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2225 1
 
4.8%
2120 1
 
4.8%
2176 1
 
4.8%
2154 1
 
4.8%
2030 1
 
4.8%
2239 1
 
4.8%
2087 1
 
4.8%
2236 1
 
4.8%
2024 1
 
4.8%
2058 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
2006 1
4.8%
2007 1
4.8%
2024 1
4.8%
2030 1
4.8%
2045 1
4.8%
2058 1
4.8%
2087 1
4.8%
2114 1
4.8%
2120 1
4.8%
2122 1
4.8%
ValueCountFrequency (%)
2246 1
4.8%
2239 1
4.8%
2236 1
4.8%
2232 1
4.8%
2225 1
4.8%
2219 1
4.8%
2194 1
4.8%
2176 1
4.8%
2155 1
4.8%
2154 1
4.8%

사업장명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-05-11T15:02:35.193997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length8.047619
Min length3

Characters and Unicode

Total characters169
Distinct characters80
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

Unique21 ?
Unique (%)100.0%

Sample

1st row우주상사
2nd row(주)동도바이오텍
3rd row(주)가온랩시스
4th row(주)에스씨아이비에스
5th row영일교역
ValueCountFrequency (%)
홈플러스(주 3
 
10.3%
주식회사 2
 
6.9%
우주상사 1
 
3.4%
주)동도바이오텍 1
 
3.4%
발상코퍼레이션 1
 
3.4%
이브닝 1
 
3.4%
면목동점 1
 
3.4%
주)이마트에브리데이 1
 
3.4%
상봉점 1
 
3.4%
면목점 1
 
3.4%
Other values (16) 16
55.2%
2024-05-11T15:02:35.822004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 13
 
7.7%
주 10
 
5.9%
8
 
4.7%
점 8
 
4.7%
( 7
 
4.1%
) 7
 
4.1%
스 6
 
3.6%
동 4
 
2.4%
에 4
 
2.4%
플 3
 
1.8%
Other values (70) 99
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
84.6%
Space Separator 8
 
4.7%
Open Punctuation 7
 
4.1%
Close Punctuation 7
 
4.1%
Decimal Number 2
 
1.2%
Uppercase Letter 1
 
0.6%
Lowercase Letter 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 13
 
9.1%
주 10
 
7.0%
점 8
 
5.6%
스 6
 
4.2%
동 4
 
2.8%
에 4
 
2.8%
플 3
 
2.1%
면 3
 
2.1%
리 3
 
2.1%
러 3
 
2.1%
Other values (63) 86
60.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
84.6%
Common 24
 
14.2%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 13
 
9.1%
주 10
 
7.0%
점 8
 
5.6%
스 6
 
4.2%
동 4
 
2.8%
에 4
 
2.8%
플 3
 
2.1%
면 3
 
2.1%
리 3
 
2.1%
러 3
 
2.1%
Other values (63) 86
60.1%
Common
ValueCountFrequency (%)
8
33.3%
( 7
29.2%
) 7
29.2%
2 1
 
4.2%
5 1
 
4.2%
Latin
ValueCountFrequency (%)
G 1
50.0%
s 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
84.6%
ASCII 26
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 13
 
9.1%
주 10
 
7.0%
점 8
 
5.6%
스 6
 
4.2%
동 4
 
2.8%
에 4
 
2.8%
플 3
 
2.1%
면 3
 
2.1%
리 3
 
2.1%
러 3
 
2.1%
Other values (63) 86
60.1%
ASCII
ValueCountFrequency (%)
8
30.8%
( 7
26.9%
) 7
26.9%
G 1
 
3.8%
s 1
 
3.8%
2 1
 
3.8%
5 1
 
3.8%

최종수정일자
Date

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2007-11-07 17:24:17
Maximum2024-02-22 15:58:36
2024-05-11T15:02:36.033466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:02:36.252912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
I
13 
U
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 13
61.9%
U 8
38.1%

Length

2024-05-11T15:02:36.451669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:36.640478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 13
61.9%
u 8
38.1%

데이터갱신일자
Date

Distinct15
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:04:00
2024-05-11T15:02:36.771335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:02:36.942789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean206377.29
Minimum187701.37
Maximum208864.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:02:37.135831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187701.37
5-th percentile205356.69
Q1206755.44
median207189.11
Q3207699.82
95-th percentile208815.08
Maximum208864.52
Range21163.146
Interquartile range (IQR)944.38218

Descriptive statistics

Standard deviation4453.8585
Coefficient of variation (CV)0.021581146
Kurtosis18.813491
Mean206377.29
Median Absolute Deviation (MAD)513.9177
Skewness-4.2777099
Sum4127545.9
Variance19836855
MonotonicityNot monotonic
2024-05-11T15:02:37.299931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
206993.672826978 1
 
4.8%
206659.973725483 1
 
4.8%
208812.481157845 1
 
4.8%
207684.193130177 1
 
4.8%
207309.937062652 1
 
4.8%
207553.170404939 1
 
4.8%
207923.745922676 1
 
4.8%
207090.86716546 1
 
4.8%
187701.372844125 1
 
4.8%
208864.518879894 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
187701.372844125 1
4.8%
206285.912434623 1
4.8%
206490.785290292 1
4.8%
206652.460283125 1
4.8%
206659.973725483 1
4.8%
206787.260836106 1
4.8%
206872.488819071 1
4.8%
206912.87190594 1
4.8%
206993.672826978 1
4.8%
207090.86716546 1
4.8%
ValueCountFrequency (%)
208864.518879894 1
4.8%
208812.481157845 1
4.8%
208256.714966676 1
4.8%
207923.745922676 1
4.8%
207709.452051737 1
4.8%
207696.61097229 1
4.8%
207684.193130177 1
4.8%
207553.170404939 1
4.8%
207309.937062652 1
4.8%
207287.360462425 1
4.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean454415.14
Minimum450259.4
Maximum457012.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-05-11T15:02:37.493080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450259.4
5-th percentile452045.87
Q1453373.87
median454624.08
Q3455371.56
95-th percentile456547.86
Maximum457012.97
Range6753.5621
Interquartile range (IQR)1997.6895

Descriptive statistics

Standard deviation1647.5941
Coefficient of variation (CV)0.0036257464
Kurtosis0.70021488
Mean454415.14
Median Absolute Deviation (MAD)1265.4877
Skewness-0.60959499
Sum9088302.8
Variance2714566.2
MonotonicityNot monotonic
2024-05-11T15:02:37.731705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
453328.04078664 1
 
4.8%
454602.592730634 1
 
4.8%
455158.148695621 1
 
4.8%
454748.996167086 1
 
4.8%
457012.96600598 1
 
4.8%
453031.11581883 1
 
4.8%
455090.718335439 1
 
4.8%
453072.936040777 1
 
4.8%
450259.403880839 1
 
4.8%
456011.793231632 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
450259.403880839 1
4.8%
452139.898151971 1
4.8%
453031.11581883 1
4.8%
453072.936040777 1
4.8%
453328.04078664 1
4.8%
453389.146877917 1
4.8%
453607.035882547 1
4.8%
453820.440239348 1
4.8%
454455.551533311 1
4.8%
454602.592730634 1
4.8%
ValueCountFrequency (%)
457012.96600598 1
4.8%
456523.376738391 1
4.8%
456373.540744485 1
4.8%
456209.006449672 1
4.8%
456011.793231632 1
4.8%
455158.148695621 1
4.8%
455090.718335439 1
4.8%
454822.517414545 1
4.8%
454748.996167086 1
4.8%
454645.570410455 1
4.8%

축산업무구분명
Categorical

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
동물용의료용구판매업
11 
<NA>
10 

Length

Max length10
Median length10
Mean length7.1428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 11
52.4%
<NA> 10
47.6%

Length

2024-05-11T15:02:37.964447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:38.151136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 11
52.4%
na 10
47.6%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

권리주체일련번호
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
10 
000
9 
L00
2 

Length

Max length4
Median length3
Mean length3.4761905
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 10
47.6%
000 9
42.9%
L00 2
 
9.5%

Length

2024-05-11T15:02:38.317087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:38.473294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 10
47.6%
000 9
42.9%
l00 2
 
9.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
20 
0
 
1

Length

Max length4
Median length4
Mean length3.8571429
Min length1

Unique

Unique1 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 20
95.2%
0 1
 
4.8%

Length

2024-05-11T15:02:38.635562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:02:38.822242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
95.2%
0 1
 
4.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0306000030600000131999000119990114<NA>3폐업2폐업20130312<NA><NA><NA>2207-23440<NA>서울특별시 중랑구 면목동 ***-**번지서울특별시 중랑구 동일로 *** (면목동)2225우주상사2013-03-12 10:08:45I2018-08-31 23:59:59.0<NA>206993.672827453328.040787동물용의료용구판매업<NA><NA>000<NA>
1306000030600000132004000120040105<NA>3폐업2폐업20201124<NA><NA><NA>494-22210<NA>서울특별시 중랑구 중화동 ***-* 정광빌딩 ***호서울특별시 중랑구 중랑천로 ***, ***호 (중화동, 정광빌딩)2114(주)동도바이오텍2020-11-24 20:35:38U2020-11-26 02:40:00.0<NA>206285.912435454822.517415동물용의료용구판매업<NA><NA>L00<NA>
2306000030600000132005000120051005<NA>3폐업2폐업20071107<NA><NA><NA><NA>0<NA>서울특별시 중랑구 신내동 ***-* 번지 대유빌딩*층<NA><NA>(주)가온랩시스2007-11-07 17:24:17I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>000<NA>
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4306000030600000132016000120160509<NA>1영업/정상0정상<NA><NA><NA><NA>02-973-0692<NA><NA>서울특별시 중랑구 묵동 ***-***번지서울특별시 중랑구 중랑역로 ***-*, *층 (묵동)2006영일교역2016-08-22 10:28:03I2018-08-31 23:59:59.0<NA>206652.460283456523.376738동물용의료용구판매업<NA><NA>000<NA>
5306000030600000132016000220160719<NA>1영업/정상0정상<NA><NA><NA><NA>02-2237-1008<NA><NA>서울특별시 중랑구 면목동 ***-**번지 *층서울특별시 중랑구 면목로 ***, *층 (면목동, 칠성빌딩)2219에이치필2016-07-27 09:32:20I2018-08-31 23:59:59.0<NA>207696.610972453820.440239동물용의료용구판매업<NA><NA>000<NA>
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7306000030600000132019000220191008<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 ***-**번지서울특별시 중랑구 동일로***길 *-* (묵동)2045프라임큐넷2019-10-08 14:57:28I2019-10-10 00:22:46.0<NA>206872.488819456209.00645동물용의료용구판매업<NA><NA>000<NA>
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
11306000030600000132022000120220208<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-**서울특별시 중랑구 동일로**길 *(면목동)2232Gs25면목동일점2022-02-08 21:11:55I2022-02-10 00:22:48.0<NA>206912.871906453607.035883동물용의료용구판매업<NA><NA>0000
12306000030600000132022000220220329<NA>3폐업2폐업20220414<NA><NA><NA>070-4100-3320<NA><NA>서울특별시 중랑구 상봉동 ***서울특별시 중랑구 망우로 ***, *층 (상봉동)2120다이소동부시장점2022-04-14 17:56:27U2021-12-03 23:06:00.0<NA>206659.973725454602.592731<NA><NA><NA><NA><NA>
13306000030600000132022000320220413<NA>1영업/정상0정상<NA><NA><NA><NA>02-2039-2149<NA><NA>서울특별시 중랑구 신내동 ***-* 신내동요양병원서울특별시 중랑구 용마산로 ***, 신내동요양병원 (신내동)2058전진바이오팜 주식회사 폴리파크 신내지점2022-04-13 15:16:27I2021-12-03 23:05:00.0<NA>208864.51888456011.793232<NA><NA><NA><NA><NA>
1430600003060000013202200042022-05-10<NA>1영업/정상0정상<NA><NA><NA><NA>02-2024-8124<NA><NA>서울특별시 강서구 등촌동 *** 홈플러스서울신내점서울특별시 중랑구 신내로 ***, 홈플러스서울신내점 (신내동)2024홈플러스(주) 신내점2024-02-22 15:56:20U2023-12-01 22:04:00.0<NA>187701.372844450259.403881<NA><NA><NA><NA><NA>
1530600003060000013202200052022-05-10<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-* 홈플러스서울특별시 중랑구 사가정로 ***, 홈플러스 (면목동)2236홈플러스(주) 면목점2024-02-22 15:58:36U2023-12-01 22:04:00.0<NA>207090.867165453072.936041<NA><NA><NA><NA><NA>
1630600003060000013202200062022-05-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 *** 상봉 프레미어스 엠코서울특별시 중랑구 망우로 ***(상봉동, 상봉 프레미어스 엠코)2087홈플러스(주) 상봉점2024-02-22 15:46:29U2023-12-01 22:04:00.0<NA>207923.745923455090.718335<NA><NA><NA><NA><NA>
1730600003060000013202200072022-05-20<NA>3폐업2폐업2023-12-01<NA><NA><NA>02-432-3100<NA><NA>서울특별시 중랑구 면목동 *** 카멜리아쇼핑센타서울특별시 중랑구 면목로**길 **, 카멜리아쇼핑센타 (면목동)2239(주)이마트에브리데이 면목동점2023-12-04 10:23:36U2022-11-02 00:06:00.0<NA>207553.170405453031.115819<NA><NA><NA><NA><NA>
1830600003060000013202200082022-05-29<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 묵동 *** 세방아파트서울특별시 중랑구 숙선옹주로*길 **, ***동 **층 *호 (묵동, 세방아파트)2030이브닝2023-08-07 17:32:53U2022-12-08 00:09:00.0<NA>207309.937063457012.966006<NA><NA><NA><NA><NA>
19306000030600000132022000920220616<NA>1영업/정상0정상<NA><NA><NA><NA>1899-9583<NA><NA>서울특별시 중랑구 상봉동 ***-* M-시티서울특별시 중랑구 면목로**다길 **, *층 ***호 (상봉동, M-시티)2154주식회사 발상코퍼레이션2022-06-16 15:52:38I2021-12-05 23:08:00.0<NA>207684.19313454748.996167<NA><NA><NA><NA><NA>
20306000030600000132022001020220921<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 ***-*서울특별시 중랑구 용마산로 ***(망우동)2176더가온서울지점2022-09-21 09:05:20I2021-12-08 22:03:00.0<NA>208812.481158455158.148696<NA><NA><NA><NA><NA>