Overview

Dataset statistics

Number of variables30
Number of observations22
Missing cells126
Missing cells (%)19.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory263.0 B

Variable types

Categorical14
Numeric4
DateTime4
Unsupported5
Text3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16651/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
전화번호 is highly imbalanced (73.3%)Imbalance
소재지면적 is highly imbalanced (56.1%)Imbalance
인허가취소일자 has 22 (100.0%) missing valuesMissing
폐업일자 has 14 (63.6%) missing valuesMissing
휴업시작일자 has 22 (100.0%) missing valuesMissing
휴업종료일자 has 22 (100.0%) missing valuesMissing
재개업일자 has 22 (100.0%) missing valuesMissing
소재지우편번호 has 22 (100.0%) missing valuesMissing
도로명우편번호 has 2 (9.1%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 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

Reproduction

Analysis started2024-05-11 02:14:06.437974
Analysis finished2024-05-11 02:14:07.178949
Duration0.74 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
3100000
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 22
100.0%

Length

2024-05-11T02:14:07.365395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:07.707930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 22
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1 × 1017
Minimum3.1 × 1017
Maximum3.1 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T02:14:08.195728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1 × 1017
5-th percentile3.1 × 1017
Q13.1 × 1017
median3.1 × 1017
Q33.1 × 1017
95-th percentile3.1 × 1017
Maximum3.1 × 1017
Range120000
Interquartile range (IQR)67456

Descriptive statistics

Standard deviation37533.422
Coefficient of variation (CV)1.2107555 × 10-13
Kurtosis-1.3703102
Mean3.1 × 1017
Median Absolute Deviation (MAD)30016
Skewness-0.088363006
Sum6.8200001 × 1018
Variance1.4087578 × 109
MonotonicityStrictly increasing
2024-05-11T02:14:08.702434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
310000003420110001 1
 
4.5%
310000003420180001 1
 
4.5%
310000003420230001 1
 
4.5%
310000003420220002 1
 
4.5%
310000003420220001 1
 
4.5%
310000003420210003 1
 
4.5%
310000003420210002 1
 
4.5%
310000003420210001 1
 
4.5%
310000003420200003 1
 
4.5%
310000003420200002 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
310000003420110001 1
4.5%
310000003420120001 1
4.5%
310000003420120002 1
4.5%
310000003420130001 1
4.5%
310000003420140001 1
4.5%
310000003420140002 1
4.5%
310000003420140003 1
4.5%
310000003420150001 1
4.5%
310000003420160001 1
4.5%
310000003420160002 1
4.5%
ValueCountFrequency (%)
310000003420230001 1
4.5%
310000003420220002 1
4.5%
310000003420220001 1
4.5%
310000003420210003 1
4.5%
310000003420210002 1
4.5%
310000003420210001 1
4.5%
310000003420200003 1
4.5%
310000003420200002 1
4.5%
310000003420200001 1
4.5%
310000003420180001 1
4.5%

인허가일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2011-10-10 00:00:00
Maximum2023-04-03 00:00:00
2024-05-11T02:14:09.203736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:09.618620image/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

영업상태코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
3
12 
1
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
54.5%
1 10
45.5%

Length

2024-05-11T02:14:10.123188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:10.477923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
54.5%
1 10
45.5%

영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
12 
영업/정상
10 

Length

Max length5
Median length2
Mean length3.3636364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
54.5%
영업/정상 10
45.5%

Length

2024-05-11T02:14:10.813576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:11.172129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
54.5%
영업/정상 10
45.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
2
12 
0
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 12
54.5%
0 10
45.5%

Length

2024-05-11T02:14:11.529397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:11.850741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 12
54.5%
0 10
45.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐업
12 
정상
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
54.5%
정상 10
45.5%

Length

2024-05-11T02:14:12.442067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:12.917312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
54.5%
정상 10
45.5%

폐업일자
Date

MISSING 

Distinct8
Distinct (%)100.0%
Missing14
Missing (%)63.6%
Memory size308.0 B
Minimum2014-03-19 00:00:00
Maximum2024-02-16 00:00:00
2024-05-11T02:14:13.476895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:14.115865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

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
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
21 
29327058
 
1

Length

Max length8
Median length4
Mean length4.1818182
Min length4

Unique

Unique1 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
95.5%
29327058 1
 
4.5%

Length

2024-05-11T02:14:15.020723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:15.618154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
95.5%
29327058 1
 
4.5%

소재지면적
Categorical

IMBALANCE 

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

Length

Max length4
Median length1
Mean length1.2727273
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
90.9%
<NA> 2
 
9.1%

Length

2024-05-11T02:14:16.250966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:16.648069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
90.9%
na 2
 
9.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지번주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T02:14:17.106298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length25.045455
Min length20

Characters and Unicode

Total characters551
Distinct characters55
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 상계동 389-243번지
2nd row서울특별시 노원구 상계동 1027-5번지
3rd row서울특별시 노원구 상계동 135-56번지 지층
4th row서울특별시 노원구 상계동 456-130
5th row서울특별시 노원구 상계동 136-31번지 2층
ValueCountFrequency (%)
서울특별시 22
20.8%
노원구 22
20.8%
상계동 12
11.3%
공릉동 5
 
4.7%
1층 4
 
3.8%
2층 4
 
3.8%
중계동 3
 
2.8%
하계동 2
 
1.9%
주공2단지아파트 2
 
1.9%
369-7 2
 
1.9%
Other values (28) 28
26.4%
2024-05-11T02:14:18.495663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
17.8%
1 28
 
5.1%
서 22
 
4.0%
특 22
 
4.0%
별 22
 
4.0%
시 22
 
4.0%
노 22
 
4.0%
원 22
 
4.0%
구 22
 
4.0%
울 22
 
4.0%
Other values (45) 249
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
57.0%
Decimal Number 117
 
21.2%
Space Separator 98
 
17.8%
Dash Punctuation 21
 
3.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 22
 
7.0%
특 22
 
7.0%
별 22
 
7.0%
시 22
 
7.0%
노 22
 
7.0%
원 22
 
7.0%
구 22
 
7.0%
울 22
 
7.0%
동 22
 
7.0%
계 17
 
5.4%
Other values (32) 99
31.5%
Decimal Number
ValueCountFrequency (%)
1 28
23.9%
3 18
15.4%
2 16
13.7%
5 12
10.3%
6 11
 
9.4%
7 10
 
8.5%
9 8
 
6.8%
0 6
 
5.1%
4 6
 
5.1%
8 2
 
1.7%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
57.0%
Common 237
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 22
 
7.0%
특 22
 
7.0%
별 22
 
7.0%
시 22
 
7.0%
노 22
 
7.0%
원 22
 
7.0%
구 22
 
7.0%
울 22
 
7.0%
동 22
 
7.0%
계 17
 
5.4%
Other values (32) 99
31.5%
Common
ValueCountFrequency (%)
98
41.4%
1 28
 
11.8%
- 21
 
8.9%
3 18
 
7.6%
2 16
 
6.8%
5 12
 
5.1%
6 11
 
4.6%
7 10
 
4.2%
9 8
 
3.4%
0 6
 
2.5%
Other values (3) 9
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
57.0%
ASCII 237
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
41.4%
1 28
 
11.8%
- 21
 
8.9%
3 18
 
7.6%
2 16
 
6.8%
5 12
 
5.1%
6 11
 
4.6%
7 10
 
4.2%
9 8
 
3.4%
0 6
 
2.5%
Other values (3) 9
 
3.8%
Hangul
ValueCountFrequency (%)
서 22
 
7.0%
특 22
 
7.0%
별 22
 
7.0%
시 22
 
7.0%
노 22
 
7.0%
원 22
 
7.0%
구 22
 
7.0%
울 22
 
7.0%
동 22
 
7.0%
계 17
 
5.4%
Other values (32) 99
31.5%

도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T02:14:19.183292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length33.909091
Min length25

Characters and Unicode

Total characters746
Distinct characters77
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 상계로17길 21 (상계동)
2nd row서울특별시 노원구 동일로 1619-18 (상계동)
3rd row서울특별시 노원구 한글비석로48길 25 지층 (상계동)
4th row서울특별시 노원구 한글비석로52길 14 (상계동)
5th row서울특별시 노원구 한글비석로24바길 77, 2층 (상계동)
ValueCountFrequency (%)
서울특별시 22
 
15.5%
노원구 22
 
15.5%
상계동 11
 
7.7%
2층 8
 
5.6%
공릉동 5
 
3.5%
1층 5
 
3.5%
한글비석로 4
 
2.8%
중계동 3
 
2.1%
동일로 2
 
1.4%
상가동 2
 
1.4%
Other values (54) 58
40.8%
2024-05-11T02:14:20.499998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
16.1%
2 32
 
4.3%
동 31
 
4.2%
1 30
 
4.0%
원 23
 
3.1%
로 22
 
2.9%
울 22
 
2.9%
) 22
 
2.9%
( 22
 
2.9%
서 22
 
2.9%
Other values (67) 400
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
57.0%
Decimal Number 131
 
17.6%
Space Separator 120
 
16.1%
Close Punctuation 22
 
2.9%
Open Punctuation 22
 
2.9%
Other Punctuation 20
 
2.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
7.3%
원 23
 
5.4%
로 22
 
5.2%
울 22
 
5.2%
서 22
 
5.2%
노 22
 
5.2%
구 22
 
5.2%
특 22
 
5.2%
별 22
 
5.2%
시 22
 
5.2%
Other values (51) 195
45.9%
Decimal Number
ValueCountFrequency (%)
2 32
24.4%
1 30
22.9%
3 12
 
9.2%
0 11
 
8.4%
4 11
 
8.4%
9 9
 
6.9%
7 8
 
6.1%
5 7
 
5.3%
8 6
 
4.6%
6 5
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 19
95.0%
@ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
57.0%
Common 321
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
7.3%
원 23
 
5.4%
로 22
 
5.2%
울 22
 
5.2%
서 22
 
5.2%
노 22
 
5.2%
구 22
 
5.2%
특 22
 
5.2%
별 22
 
5.2%
시 22
 
5.2%
Other values (51) 195
45.9%
Common
ValueCountFrequency (%)
120
37.4%
2 32
 
10.0%
1 30
 
9.3%
) 22
 
6.9%
( 22
 
6.9%
, 19
 
5.9%
3 12
 
3.7%
0 11
 
3.4%
4 11
 
3.4%
9 9
 
2.8%
Other values (6) 33
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
57.0%
ASCII 321
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
37.4%
2 32
 
10.0%
1 30
 
9.3%
) 22
 
6.9%
( 22
 
6.9%
, 19
 
5.9%
3 12
 
3.7%
0 11
 
3.4%
4 11
 
3.4%
9 9
 
2.8%
Other values (6) 33
 
10.3%
Hangul
ValueCountFrequency (%)
동 31
 
7.3%
원 23
 
5.4%
로 22
 
5.2%
울 22
 
5.2%
서 22
 
5.2%
노 22
 
5.2%
구 22
 
5.2%
특 22
 
5.2%
별 22
 
5.2%
시 22
 
5.2%
Other values (51) 195
45.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing2
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean1729.6
Minimum1605
Maximum1849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T02:14:20.981101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1605
5-th percentile1624.95
Q11661.5
median1708.5
Q31808.25
95-th percentile1848.05
Maximum1849
Range244
Interquartile range (IQR)146.75

Descriptive statistics

Standard deviation82.085578
Coefficient of variation (CV)0.047459284
Kurtosis-1.4576241
Mean1729.6
Median Absolute Deviation (MAD)61.5
Skewness0.24268836
Sum34592
Variance6738.0421
MonotonicityNot monotonic
2024-05-11T02:14:21.487989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1718 2
 
9.1%
1655 1
 
4.5%
1663 1
 
4.5%
1626 1
 
4.5%
1848 1
 
4.5%
1696 1
 
4.5%
1824 1
 
4.5%
1605 1
 
4.5%
1699 1
 
4.5%
1684 1
 
4.5%
Other values (9) 9
40.9%
(Missing) 2
 
9.1%
ValueCountFrequency (%)
1605 1
4.5%
1626 1
4.5%
1646 1
4.5%
1655 1
4.5%
1657 1
4.5%
1663 1
4.5%
1667 1
4.5%
1684 1
4.5%
1696 1
4.5%
1699 1
4.5%
ValueCountFrequency (%)
1849 1
4.5%
1848 1
4.5%
1845 1
4.5%
1830 1
4.5%
1824 1
4.5%
1803 1
4.5%
1790 1
4.5%
1769 1
4.5%
1718 2
9.1%
1699 1
4.5%

사업장명
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-05-11T02:14:22.041499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.1818182
Min length3

Characters and Unicode

Total characters158
Distinct characters90
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 (%)81.8%

Sample

1st rowsingsingpet(씽씽펫)
2nd row퍼피만찬
3rd rowsingsingpet(씽씽펫)
4th row멍멍까까
5th row구떼드맘멍
ValueCountFrequency (%)
singsingpet(씽씽펫 2
 
7.7%
구떼드맘멍 2
 
7.7%
다니맘 1
 
3.8%
버터뭉 1
 
3.8%
너랑나랑개랑 1
 
3.8%
냠냥 1
 
3.8%
맛있개 1
 
3.8%
줄리펫푸드앤스튜디오(지후컴퍼니 1
 
3.8%
딜디아(deldia 1
 
3.8%
강아지 1
 
3.8%
Other values (14) 14
53.8%
2024-05-11T02:14:23.015939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 6
 
3.8%
) 6
 
3.8%
멍 5
 
3.2%
s 4
 
2.5%
n 4
 
2.5%
g 4
 
2.5%
니 4
 
2.5%
씽 4
 
2.5%
i 4
 
2.5%
4
 
2.5%
Other values (80) 113
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
62.7%
Lowercase Letter 22
 
13.9%
Uppercase Letter 20
 
12.7%
Open Punctuation 6
 
3.8%
Close Punctuation 6
 
3.8%
Space Separator 4
 
2.5%
Other Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
멍 5
 
5.1%
니 4
 
4.0%
씽 4
 
4.0%
미 4
 
4.0%
바 3
 
3.0%
맘 3
 
3.0%
드 3
 
3.0%
펫 3
 
3.0%
랑 3
 
3.0%
스 2
 
2.0%
Other values (56) 65
65.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
15.0%
O 2
10.0%
P 2
10.0%
I 2
10.0%
S 2
10.0%
D 2
10.0%
E 1
 
5.0%
L 1
 
5.0%
B 1
 
5.0%
M 1
 
5.0%
Other values (3) 3
15.0%
Lowercase Letter
ValueCountFrequency (%)
s 4
18.2%
n 4
18.2%
g 4
18.2%
i 4
18.2%
t 2
9.1%
p 2
9.1%
e 2
9.1%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
62.7%
Latin 42
26.6%
Common 17
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
멍 5
 
5.1%
니 4
 
4.0%
씽 4
 
4.0%
미 4
 
4.0%
바 3
 
3.0%
맘 3
 
3.0%
드 3
 
3.0%
펫 3
 
3.0%
랑 3
 
3.0%
스 2
 
2.0%
Other values (56) 65
65.7%
Latin
ValueCountFrequency (%)
s 4
 
9.5%
n 4
 
9.5%
g 4
 
9.5%
i 4
 
9.5%
A 3
 
7.1%
O 2
 
4.8%
P 2
 
4.8%
I 2
 
4.8%
S 2
 
4.8%
D 2
 
4.8%
Other values (10) 13
31.0%
Common
ValueCountFrequency (%)
( 6
35.3%
) 6
35.3%
4
23.5%
' 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
62.7%
ASCII 59
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 6
 
10.2%
) 6
 
10.2%
s 4
 
6.8%
n 4
 
6.8%
g 4
 
6.8%
i 4
 
6.8%
4
 
6.8%
A 3
 
5.1%
O 2
 
3.4%
P 2
 
3.4%
Other values (14) 20
33.9%
Hangul
ValueCountFrequency (%)
멍 5
 
5.1%
니 4
 
4.0%
씽 4
 
4.0%
미 4
 
4.0%
바 3
 
3.0%
맘 3
 
3.0%
드 3
 
3.0%
펫 3
 
3.0%
랑 3
 
3.0%
스 2
 
2.0%
Other values (56) 65
65.7%

최종수정일자
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2014-03-19 18:04:42
Maximum2024-04-09 13:18:12
2024-05-11T02:14:23.386990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:23.754344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

데이터갱신구분
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
U
12 
I
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 12
54.5%
I 10
45.5%

Length

2024-05-11T02:14:24.193550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:24.507977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 12
54.5%
i 10
45.5%

데이터갱신일자
Date

Distinct15
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-05-11T02:14:24.816793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:14:25.179077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 22
100.0%

Length

2024-05-11T02:14:25.571670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:25.881572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 22
100.0%

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206136.86
Minimum204639.66
Maximum207131.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T02:14:26.190015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204639.66
5-th percentile204763.4
Q1205859.82
median206170.79
Q3206628.66
95-th percentile206966.18
Maximum207131.58
Range2491.9151
Interquartile range (IQR)768.84175

Descriptive statistics

Standard deviation701.18401
Coefficient of variation (CV)0.003401546
Kurtosis-0.073944961
Mean206136.86
Median Absolute Deviation (MAD)413.20188
Skewness-0.73261728
Sum4535010.9
Variance491659.02
MonotonicityNot monotonic
2024-05-11T02:14:26.797721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
206812.89770472 2
 
9.1%
205894.110113663 1
 
4.5%
204746.77290103 1
 
4.5%
206356.22314833 1
 
4.5%
205079.406231184 1
 
4.5%
206586.418383237 1
 
4.5%
205864.497590298 1
 
4.5%
206962.89653284 1
 
4.5%
204639.661195599 1
 
4.5%
206342.011931277 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
204639.661195599 1
4.5%
204746.77290103 1
4.5%
205079.406231184 1
4.5%
205309.755822239 1
4.5%
205797.32479781 1
4.5%
205858.258342161 1
4.5%
205864.497590298 1
4.5%
205894.110113663 1
4.5%
206138.852615 1
4.5%
206145.111061547 1
4.5%
ValueCountFrequency (%)
207131.576339305 1
4.5%
206966.348461251 1
4.5%
206962.89653284 1
4.5%
206812.89770472 2
9.1%
206642.740416589 1
4.5%
206586.418383237 1
4.5%
206581.568884968 1
4.5%
206356.22314833 1
4.5%
206342.011931277 1
4.5%
206183.107546454 1
4.5%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461006.73
Minimum457478.26
Maximum464003.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-05-11T02:14:27.176255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457478.26
5-th percentile457500.67
Q1459287.18
median461735.68
Q3462553.74
95-th percentile463601.36
Maximum464003.78
Range6525.5257
Interquartile range (IQR)3266.5652

Descriptive statistics

Standard deviation2177.9474
Coefficient of variation (CV)0.004724329
Kurtosis-1.074437
Mean461006.73
Median Absolute Deviation (MAD)1199.6512
Skewness-0.60331086
Sum10142148
Variance4743455
MonotonicityNot monotonic
2024-05-11T02:14:27.414218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
461638.58358483 2
 
9.1%
461820.902044269 1
 
4.5%
463349.15008912 1
 
4.5%
462123.478004887 1
 
4.5%
463614.629752811 1
 
4.5%
457576.086812428 1
 
4.5%
461650.449638554 1
 
4.5%
457778.47403454 1
 
4.5%
464003.782684071 1
 
4.5%
461845.269709197 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
457478.257030328 1
4.5%
457496.705931718 1
4.5%
457576.086812428 1
4.5%
457778.47403454 1
4.5%
457902.519977339 1
4.5%
459128.350560041 1
4.5%
459763.658989871 1
4.5%
460429.879161878 1
4.5%
461638.58358483 2
9.1%
461650.449638554 1
4.5%
ValueCountFrequency (%)
464003.782684071 1
4.5%
463614.629752811 1
4.5%
463349.15008912 1
4.5%
462829.18165682 1
4.5%
462614.280955604 1
4.5%
462563.650449741 1
4.5%
462524.020285388 1
4.5%
462378.109347075 1
4.5%
462123.478004887 1
4.5%
461845.269709197 1
4.5%

축산업무구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
사료제조업
16 
<NA>
6 

Length

Max length5
Median length5
Mean length4.7272727
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사료제조업 16
72.7%
<NA> 6
 
27.3%

Length

2024-05-11T02:14:27.710784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:28.037539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사료제조업 16
72.7%
na 6
 
27.3%

축산물가공업구분명
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
단미
16 
<NA>
6 

Length

Max length4
Median length2
Mean length2.5454545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단미 16
72.7%
<NA> 6
 
27.3%

Length

2024-05-11T02:14:28.296141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:28.760416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 16
72.7%
na 6
 
27.3%

축산일련번호
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
19 
0
3 

Length

Max length4
Median length4
Mean length3.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
86.4%
0 3
 
13.6%

Length

2024-05-11T02:14:29.143018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:29.493135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
86.4%
0 3
 
13.6%

권리주체일련번호
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
0
16 
<NA>
6 

Length

Max length4
Median length1
Mean length1.8181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
72.7%
<NA> 6
 
27.3%

Length

2024-05-11T02:14:29.882325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:30.204825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
72.7%
na 6
 
27.3%

총인원
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
<NA>
19 
0
3 

Length

Max length4
Median length4
Mean length3.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
86.4%
0 3
 
13.6%

Length

2024-05-11T02:14:30.614413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:14:30.907364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
86.4%
0 3
 
13.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0310000031000000342011000120111010<NA>3폐업2폐업<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 389-243번지서울특별시 노원구 상계로17길 21 (상계동)1684singsingpet(씽씽펫)2015-10-30 11:40:16I2018-08-31 23:59:59.0단미205894.110114461820.902044사료제조업단미<NA>0<NA>
1310000031000000342012000120120309<NA>3폐업2폐업20170628<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1027-5번지서울특별시 노원구 동일로 1619-18 (상계동)<NA>퍼피만찬2017-06-28 14:46:49I2018-08-31 23:59:59.0단미204746.772901463349.150089사료제조업단미<NA>0<NA>
2310000031000000342012000220120625<NA>3폐업2폐업20140319<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 135-56번지 지층서울특별시 노원구 한글비석로48길 25 지층 (상계동)<NA>singsingpet(씽씽펫)2014-03-19 18:04:42I2018-08-31 23:59:59.0단미205858.258342462563.65045사료제조업단미<NA>0<NA>
3310000031000000342013000120130423<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 456-130서울특별시 노원구 한글비석로52길 14 (상계동)1655멍멍까까2021-11-08 17:32:15U2021-11-10 02:40:00.0단미205797.324798462524.020285사료제조업단미000
4310000031000000342014000120140401<NA>3폐업2폐업<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 136-31번지 2층서울특별시 노원구 한글비석로24바길 77, 2층 (상계동)1657구떼드맘멍2017-04-24 10:24:15I2018-08-31 23:59:59.0단미206158.475967462614.280956사료제조업단미<NA>0<NA>
5310000031000000342014000220140502<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 1293번지 불암대림@상가 110호서울특별시 노원구 덕릉로118길 29, 110호 (상계동, 불암대림@상가)1646요미브런치2014-05-02 14:29:28I2018-08-31 23:59:59.0단미207131.576339462829.181657사료제조업단미<NA>0<NA>
6310000031000000342014000320141110<NA>3폐업2폐업<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 공릉동 517-70번지서울특별시 노원구 동일로182길 37-17 (공릉동)1845멍장금2017-03-08 11:17:11I2018-08-31 23:59:59.0단미206642.740417457902.519977사료제조업단미<NA>0<NA>
7310000031000000342015000120150528<NA>3폐업2폐업20191218<NA><NA><NA><NA>0<NA>서울특별시 노원구 하계동 155-3번지 2층서울특별시 노원구 공릉로59가길 23, 2층 (하계동)1830바니바니2019-12-18 13:39:51U2019-12-20 02:40:00.0단미206183.107546459128.35056사료제조업단미<NA>0<NA>
8310000031000000342016000120160422<NA>3폐업2폐업20171130<NA><NA><NA><NA>0<NA>서울특별시 노원구 하계동 212-2번지서울특별시 노원구 한글비석로1길 49-10 (하계동)1790프레스코2017-11-30 13:58:10I2018-08-31 23:59:59.0단미206145.111062459763.65899사료제조업단미<NA>0<NA>
9310000031000000342016000220160912<NA>3폐업2폐업20211228<NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 766-1서울특별시 노원구 덕릉로 459-14, 상가동 2층 206호 (상계동, 상계미도우편취급소)1769도그빠2021-12-28 13:54:07U2021-12-30 02:40:00.0단미205309.755822460429.879162사료제조업단미000
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
12310000031000000342018000120181212<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 공릉동 617-2번지 2층서울특별시 노원구 동일로 1002, 2층 (공릉동)1849밤시(BAMSI)2018-12-12 14:01:25I2018-12-14 02:20:16.0단미206581.568885457478.25703사료제조업단미<NA>0<NA>
13310000031000000342020000120200210<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 중계동 584-1 삼창타워프라자 지하 1층 40호서울특별시 노원구 한글비석로 383, 삼창타워프라자 지하 1층 40호 (중계동)1699다니맘2021-06-02 16:20:16U2021-06-04 02:40:00.0단미206342.011931461845.269709사료제조업단미<NA>0<NA>
14310000031000000342020000220200226<NA>3폐업2폐업20211229<NA><NA><NA><NA>0<NA>서울특별시 노원구 중계동 369-7 주공2단지아파트서울특별시 노원구 한글비석로 332, 주공2단지아파트 2층 209호 (중계동)1718포포네 간식(POPO' SNACK)2021-12-29 17:39:07U2021-12-31 02:40:00.0단미206812.897705461638.583585사료제조업단미000
15310000031000000342020000320201019<NA>1영업/정상0정상<NA><NA><NA><NA>293270580<NA>서울특별시 노원구 상계동 1139-2 1층서울특별시 노원구 동일로243길 29, 1층 (상계동)1605빵먹는 강아지2023-01-11 13:51:19U2022-11-30 23:04:00.0단미204639.661196464003.782684<NA><NA><NA><NA><NA>
1631000003100000034202100012021-06-04<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 공릉동 333-9 1층서울특별시 노원구 공릉로34길 6, 1층 (공릉동)1824딜디아(DELDIA)2023-11-02 11:24:32U2022-11-01 00:04:00.0단미206962.896533457778.474035<NA><NA><NA><NA><NA>
17310000031000000342021000220210625<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 373-25 세영빌딩 2층서울특별시 노원구 상계로 110, 세영빌딩 2층 (상계동)1696줄리펫푸드앤스튜디오(지후컴퍼니)2021-06-25 15:48:51I2021-06-27 00:23:03.0단미205864.49759461650.449639사료제조업단미<NA>0<NA>
18310000031000000342021000320211222<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 공릉동 596-30 1층서울특별시 노원구 동일로176길 11-11, 1층 (공릉동)1848맛있개 냠냥2022-12-22 14:13:24U2021-11-01 22:04:00.0단미206586.418383457576.086812<NA><NA><NA><NA><NA>
1931000003100000034202200012022-04-07<NA>3폐업2폐업2024-02-16<NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 1121-17서울특별시 노원구 동일로242길 55(상계동)1626너랑나랑개랑2024-02-16 11:38:45U2023-12-01 23:08:00.0단미205079.406231463614.629753<NA><NA><NA><NA><NA>
2031000003100000034202200022022-04-27<NA>3폐업2폐업2022-10-28<NA><NA><NA><NA>0<NA>서울특별시 노원구 중계동 369-7 주공2단지아파트서울특별시 노원구 한글비석로 332, 주공2단지아파트 상가동 2층 209-1호 (중계동)1718버터뭉2023-12-28 19:24:15U2022-11-01 21:00:00.0단미206812.897705461638.583585<NA><NA><NA><NA><NA>
2131000003100000034202300012023-04-03<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 노원구 상계동 173-1 벽산아파트서울특별시 노원구 한글비석로 396, 108동 2층 27호 (상계동, 벽산아파트)1663원바이트미2024-04-09 13:18:12U2023-12-03 23:01:00.0단미206356.223148462123.478005<NA><NA><NA><NA><NA>