Overview

Dataset statistics

Number of variables30
Number of observations30
Missing cells320
Missing cells (%)35.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory262.4 B

Variable types

Categorical8
Numeric5
DateTime4
Unsupported9
Text4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-16508/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 16 (53.3%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 8 (26.7%) missing valuesMissing
소재지면적 has 2 (6.7%) missing valuesMissing
소재지우편번호 has 30 (100.0%) missing valuesMissing
도로명주소 has 9 (30.0%) missing valuesMissing
도로명우편번호 has 9 (30.0%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
좌표정보(X) has 3 (10.0%) missing valuesMissing
좌표정보(Y) has 3 (10.0%) missing valuesMissing
축산물가공업구분명 has 30 (100.0%) missing valuesMissing
축산일련번호 has 30 (100.0%) missing valuesMissing
총인원 has 30 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 21 (70.0%) zerosZeros

Reproduction

Analysis started2024-04-06 13:21:52.090745
Analysis finished2024-04-06 13:21:53.016156
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3170000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 30
100.0%

Length

2024-04-06T22:21:53.080137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:53.183089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 30
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.17 × 1017
Minimum3.17 × 1017
Maximum3.17 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T22:21:53.284149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.17 × 1017
5-th percentile3.17 × 1017
Q13.17 × 1017
median3.17 × 1017
Q33.17 × 1017
95-th percentile3.17 × 1017
Maximum3.17 × 1017
Range190000
Interquartile range (IQR)64960

Descriptive statistics

Standard deviation51487.62
Coefficient of variation (CV)1.6242151 × 10-13
Kurtosis-0.42447112
Mean3.17 × 1017
Median Absolute Deviation (MAD)20032
Skewness0.86408621
Sum-8.936744 × 1018
Variance2.650975 × 109
MonotonicityStrictly increasing
2024-04-06T22:21:53.451310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
317000001020030001 1
 
3.3%
317000001020070009 1
 
3.3%
317000001020220001 1
 
3.3%
317000001020190001 1
 
3.3%
317000001020180001 1
 
3.3%
317000001020170002 1
 
3.3%
317000001020170001 1
 
3.3%
317000001020160002 1
 
3.3%
317000001020160001 1
 
3.3%
317000001020130001 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
317000001020030001 1
3.3%
317000001020040001 1
3.3%
317000001020050001 1
3.3%
317000001020050002 1
3.3%
317000001020050003 1
3.3%
317000001020060001 1
3.3%
317000001020060002 1
3.3%
317000001020060003 1
3.3%
317000001020070001 1
3.3%
317000001020070002 1
3.3%
ValueCountFrequency (%)
317000001020220001 1
3.3%
317000001020190001 1
3.3%
317000001020180001 1
3.3%
317000001020170002 1
3.3%
317000001020170001 1
3.3%
317000001020160002 1
3.3%
317000001020160001 1
3.3%
317000001020130001 1
3.3%
317000001020120002 1
3.3%
317000001020120001 1
3.3%

인허가일자
Date

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2003-07-11 00:00:00
Maximum2022-05-24 00:00:00
2024-04-06T22:21:53.576958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:53.688502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
16 
3
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 16
53.3%
3 14
46.7%

Length

2024-04-06T22:21:53.796503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:53.879125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 16
53.3%
3 14
46.7%

영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
16 
폐업
14 

Length

Max length5
Median length5
Mean length3.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 16
53.3%
폐업 14
46.7%

Length

2024-04-06T22:21:53.984006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:54.085566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 16
53.3%
폐업 14
46.7%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
16 
2
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
53.3%
2 14
46.7%

Length

2024-04-06T22:21:54.201982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:54.310419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
53.3%
2 14
46.7%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
정상
16 
폐업
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 16
53.3%
폐업 14
46.7%

Length

2024-04-06T22:21:54.422493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:54.509488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 16
53.3%
폐업 14
46.7%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)85.7%
Missing16
Missing (%)53.3%
Memory size372.0 B
Minimum2005-02-25 00:00:00
Maximum2023-09-07 00:00:00
2024-04-06T22:21:54.585455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:54.680628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing8
Missing (%)26.7%
Memory size372.0 B
2024-04-06T22:21:54.842494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.1818182
Min length8

Characters and Unicode

Total characters202
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

Unique20 ?
Unique (%)90.9%

Sample

1st row894-3030
2nd row861-7511
3rd row804-0975
4th row02-804-9494
5th row02)894-0915
ValueCountFrequency (%)
853-7582 2
 
9.1%
070-8746-7582 1
 
4.5%
894-3030 1
 
4.5%
809-0075 1
 
4.5%
6978-9500 1
 
4.5%
802-2811 1
 
4.5%
02-808-2475 1
 
4.5%
02-855-8575 1
 
4.5%
028071616 1
 
4.5%
02-3281-7582 1
 
4.5%
Other values (11) 11
50.0%
2024-04-06T22:21:55.148684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 35
17.3%
- 27
13.4%
0 27
13.4%
5 25
12.4%
7 19
9.4%
2 18
8.9%
4 11
 
5.4%
9 11
 
5.4%
1 11
 
5.4%
6 9
 
4.5%
Other values (2) 9
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 174
86.1%
Dash Punctuation 27
 
13.4%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 35
20.1%
0 27
15.5%
5 25
14.4%
7 19
10.9%
2 18
10.3%
4 11
 
6.3%
9 11
 
6.3%
1 11
 
6.3%
6 9
 
5.2%
3 8
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 35
17.3%
- 27
13.4%
0 27
13.4%
5 25
12.4%
7 19
9.4%
2 18
8.9%
4 11
 
5.4%
9 11
 
5.4%
1 11
 
5.4%
6 9
 
4.5%
Other values (2) 9
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 35
17.3%
- 27
13.4%
0 27
13.4%
5 25
12.4%
7 19
9.4%
2 18
8.9%
4 11
 
5.4%
9 11
 
5.4%
1 11
 
5.4%
6 9
 
4.5%
Other values (2) 9
 
4.5%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)28.6%
Missing2
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean42.762143
Minimum0
Maximum378
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T22:21:55.284848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.27
95-th percentile201.602
Maximum378
Range378
Interquartile range (IQR)3.27

Descriptive statistics

Standard deviation91.832537
Coefficient of variation (CV)2.1475195
Kurtosis5.9492505
Mean42.762143
Median Absolute Deviation (MAD)0
Skewness2.4024841
Sum1197.34
Variance8433.2148
MonotonicityNot monotonic
2024-04-06T22:21:55.399273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 21
70.0%
143.0 1
 
3.3%
153.84 1
 
3.3%
13.08 1
 
3.3%
378.0 1
 
3.3%
152.5 1
 
3.3%
129.6 1
 
3.3%
227.32 1
 
3.3%
(Missing) 2
 
6.7%
ValueCountFrequency (%)
0.0 21
70.0%
13.08 1
 
3.3%
129.6 1
 
3.3%
143.0 1
 
3.3%
152.5 1
 
3.3%
153.84 1
 
3.3%
227.32 1
 
3.3%
378.0 1
 
3.3%
ValueCountFrequency (%)
378.0 1
 
3.3%
227.32 1
 
3.3%
153.84 1
 
3.3%
152.5 1
 
3.3%
143.0 1
 
3.3%
129.6 1
 
3.3%
13.08 1
 
3.3%
0.0 21
70.0%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

지번주소
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T22:21:55.579905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length22.833333
Min length17

Characters and Unicode

Total characters685
Distinct characters47
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

Unique27 ?
Unique (%)90.0%

Sample

1st row서울특별시 금천구 시흥동 837-37
2nd row서울특별시 금천구 독산동 295-10번지
3rd row서울특별시 금천구 시흥동 271-18 번지
4th row서울특별시 금천구 시흥동 909-5번지
5th row서울특별시 금천구 시흥동 271-18번지
ValueCountFrequency (%)
서울특별시 30
23.3%
금천구 30
23.3%
독산동 15
11.6%
시흥동 14
10.9%
989번지 3
 
2.3%
번지 3
 
2.3%
852-29번지 2
 
1.6%
가산동 2
 
1.6%
145-13 1
 
0.8%
102-12번지 1
 
0.8%
Other values (28) 28
21.7%
2024-04-06T22:21:55.890115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
18.1%
시 44
 
6.4%
서 31
 
4.5%
금 31
 
4.5%
천 31
 
4.5%
동 31
 
4.5%
특 30
 
4.4%
별 30
 
4.4%
구 30
 
4.4%
울 30
 
4.4%
Other values (37) 273
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
58.0%
Decimal Number 137
 
20.0%
Space Separator 124
 
18.1%
Dash Punctuation 23
 
3.4%
Uppercase Letter 2
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 44
11.1%
서 31
 
7.8%
금 31
 
7.8%
천 31
 
7.8%
동 31
 
7.8%
특 30
 
7.6%
별 30
 
7.6%
구 30
 
7.6%
울 30
 
7.6%
지 22
 
5.5%
Other values (21) 87
21.9%
Decimal Number
ValueCountFrequency (%)
1 24
17.5%
9 24
17.5%
2 17
12.4%
8 15
10.9%
3 14
10.2%
5 12
8.8%
0 10
7.3%
7 10
7.3%
6 6
 
4.4%
4 5
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
58.0%
Common 286
41.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 44
11.1%
서 31
 
7.8%
금 31
 
7.8%
천 31
 
7.8%
동 31
 
7.8%
특 30
 
7.6%
별 30
 
7.6%
구 30
 
7.6%
울 30
 
7.6%
지 22
 
5.5%
Other values (21) 87
21.9%
Common
ValueCountFrequency (%)
124
43.4%
1 24
 
8.4%
9 24
 
8.4%
- 23
 
8.0%
2 17
 
5.9%
8 15
 
5.2%
3 14
 
4.9%
5 12
 
4.2%
0 10
 
3.5%
7 10
 
3.5%
Other values (4) 13
 
4.5%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
58.0%
ASCII 288
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
43.1%
1 24
 
8.3%
9 24
 
8.3%
- 23
 
8.0%
2 17
 
5.9%
8 15
 
5.2%
3 14
 
4.9%
5 12
 
4.2%
0 10
 
3.5%
7 10
 
3.5%
Other values (6) 15
 
5.2%
Hangul
ValueCountFrequency (%)
시 44
11.1%
서 31
 
7.8%
금 31
 
7.8%
천 31
 
7.8%
동 31
 
7.8%
특 30
 
7.6%
별 30
 
7.6%
구 30
 
7.6%
울 30
 
7.6%
지 22
 
5.5%
Other values (21) 87
21.9%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing9
Missing (%)30.0%
Memory size372.0 B
2024-04-06T22:21:56.080314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length26.952381
Min length22

Characters and Unicode

Total characters566
Distinct characters65
Distinct categories8 ?
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 금천구 독산로 58 (시흥동)
2nd row서울특별시 금천구 두산로 71 (독산동)
3rd row서울특별시 금천구 금하로 694 (시흥동)
4th row서울특별시 금천구 금하로 679 (시흥동)
5th row서울특별시 금천구 독산로 272 (독산동)
ValueCountFrequency (%)
서울특별시 21
17.9%
금천구 21
17.9%
독산동 12
 
10.3%
시흥동 8
 
6.8%
독산로 6
 
5.1%
시흥대로 5
 
4.3%
1층 3
 
2.6%
금하로 3
 
2.6%
71 2
 
1.7%
두산로 2
 
1.7%
Other values (34) 34
29.1%
2024-04-06T22:21:56.398593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
17.0%
시 35
 
6.2%
금 26
 
4.6%
산 24
 
4.2%
서 22
 
3.9%
동 22
 
3.9%
천 22
 
3.9%
울 21
 
3.7%
( 21
 
3.7%
로 21
 
3.7%
Other values (55) 256
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
60.6%
Space Separator 96
 
17.0%
Decimal Number 73
 
12.9%
Open Punctuation 21
 
3.7%
Close Punctuation 21
 
3.7%
Other Punctuation 9
 
1.6%
Uppercase Letter 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 35
 
10.2%
금 26
 
7.6%
산 24
 
7.0%
서 22
 
6.4%
동 22
 
6.4%
천 22
 
6.4%
울 21
 
6.1%
로 21
 
6.1%
별 21
 
6.1%
특 21
 
6.1%
Other values (38) 108
31.5%
Decimal Number
ValueCountFrequency (%)
1 15
20.5%
2 13
17.8%
8 8
11.0%
7 8
11.0%
3 6
 
8.2%
5 6
 
8.2%
0 5
 
6.8%
4 5
 
6.8%
6 4
 
5.5%
9 3
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
60.6%
Common 221
39.0%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 35
 
10.2%
금 26
 
7.6%
산 24
 
7.0%
서 22
 
6.4%
동 22
 
6.4%
천 22
 
6.4%
울 21
 
6.1%
로 21
 
6.1%
별 21
 
6.1%
특 21
 
6.1%
Other values (38) 108
31.5%
Common
ValueCountFrequency (%)
96
43.4%
( 21
 
9.5%
) 21
 
9.5%
1 15
 
6.8%
2 13
 
5.9%
, 9
 
4.1%
8 8
 
3.6%
7 8
 
3.6%
3 6
 
2.7%
5 6
 
2.7%
Other values (5) 18
 
8.1%
Latin
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
60.6%
ASCII 223
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
43.0%
( 21
 
9.4%
) 21
 
9.4%
1 15
 
6.7%
2 13
 
5.8%
, 9
 
4.0%
8 8
 
3.6%
7 8
 
3.6%
3 6
 
2.7%
5 6
 
2.7%
Other values (7) 20
 
9.0%
Hangul
ValueCountFrequency (%)
시 35
 
10.2%
금 26
 
7.6%
산 24
 
7.0%
서 22
 
6.4%
동 22
 
6.4%
천 22
 
6.4%
울 21
 
6.1%
로 21
 
6.1%
별 21
 
6.1%
특 21
 
6.1%
Other values (38) 108
31.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing9
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean8581.1429
Minimum8506
Maximum8656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T22:21:56.510187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8506
5-th percentile8524
Q18547
median8573
Q38623
95-th percentile8642
Maximum8656
Range150
Interquartile range (IQR)76

Descriptive statistics

Standard deviation44.58395
Coefficient of variation (CV)0.0051955725
Kurtosis-1.2570562
Mean8581.1429
Median Absolute Deviation (MAD)41
Skewness0.037688155
Sum180204
Variance1987.7286
MonotonicityNot monotonic
2024-04-06T22:21:56.622181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8524 2
 
6.7%
8573 2
 
6.7%
8627 1
 
3.3%
8547 1
 
3.3%
8506 1
 
3.3%
8631 1
 
3.3%
8614 1
 
3.3%
8531 1
 
3.3%
8600 1
 
3.3%
8581 1
 
3.3%
Other values (9) 9
30.0%
(Missing) 9
30.0%
ValueCountFrequency (%)
8506 1
3.3%
8524 2
6.7%
8531 1
3.3%
8543 1
3.3%
8547 1
3.3%
8550 1
3.3%
8557 1
3.3%
8562 1
3.3%
8573 2
6.7%
8581 1
3.3%
ValueCountFrequency (%)
8656 1
3.3%
8642 1
3.3%
8632 1
3.3%
8631 1
3.3%
8627 1
3.3%
8623 1
3.3%
8614 1
3.3%
8608 1
3.3%
8600 1
3.3%
8581 1
3.3%

사업장명
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T22:21:56.824277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length7.7
Min length6

Characters and Unicode

Total characters231
Distinct characters64
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)73.3%

Sample

1st row제일종합동물병원
2nd row아야야동물병원
3rd row벽산종합동물병원
4th row은행나무종합동물병원
5th row벽산종합동물병원
ValueCountFrequency (%)
쿨펫동물병원 2
 
5.6%
러브펫동물병원 2
 
5.6%
벽산종합동물병원 2
 
5.6%
동물의료센터 2
 
5.6%
24시 2
 
5.6%
법원단지동물병원 2
 
5.6%
우리동물메디컬센터 1
 
2.8%
금나래동물병원 1
 
2.8%
나비셀 1
 
2.8%
더조은 1
 
2.8%
Other values (20) 20
55.6%
2024-04-06T22:21:57.172269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 29
 
12.6%
물 29
 
12.6%
원 28
 
12.1%
병 26
 
11.3%
6
 
2.6%
종 6
 
2.6%
합 6
 
2.6%
센 4
 
1.7%
터 4
 
1.7%
펫 4
 
1.7%
Other values (54) 89
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
95.2%
Space Separator 6
 
2.6%
Decimal Number 4
 
1.7%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
 
13.2%
물 29
 
13.2%
원 28
 
12.7%
병 26
 
11.8%
종 6
 
2.7%
합 6
 
2.7%
센 4
 
1.8%
터 4
 
1.8%
펫 4
 
1.8%
나 3
 
1.4%
Other values (50) 81
36.8%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 2
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
95.2%
Common 10
 
4.3%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
 
13.2%
물 29
 
13.2%
원 28
 
12.7%
병 26
 
11.8%
종 6
 
2.7%
합 6
 
2.7%
센 4
 
1.8%
터 4
 
1.8%
펫 4
 
1.8%
나 3
 
1.4%
Other values (50) 81
36.8%
Common
ValueCountFrequency (%)
6
60.0%
2 2
 
20.0%
4 2
 
20.0%
Latin
ValueCountFrequency (%)
K 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
95.2%
ASCII 11
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 29
 
13.2%
물 29
 
13.2%
원 28
 
12.7%
병 26
 
11.8%
종 6
 
2.7%
합 6
 
2.7%
센 4
 
1.8%
터 4
 
1.8%
펫 4
 
1.8%
나 3
 
1.4%
Other values (50) 81
36.8%
ASCII
ValueCountFrequency (%)
6
54.5%
2 2
 
18.2%
4 2
 
18.2%
K 1
 
9.1%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2005-02-25 09:41:34
Maximum2024-03-26 15:20:15
2024-04-06T22:21:57.296585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:57.417665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
20 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 20
66.7%
U 10
33.3%

Length

2024-04-06T22:21:57.537894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:57.633500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
66.7%
u 10
33.3%

데이터갱신일자
Date

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:08:00
2024-04-06T22:21:57.721145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:21:57.825054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean191212.62
Minimum189369.54
Maximum192194.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T22:21:57.960403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189369.54
5-th percentile190331.73
Q1191041.72
median191301.68
Q3191513.54
95-th percentile191935.05
Maximum192194.26
Range2824.7215
Interquartile range (IQR)471.81733

Descriptive statistics

Standard deviation562.6457
Coefficient of variation (CV)0.0029425135
Kurtosis3.5525582
Mean191212.62
Median Absolute Deviation (MAD)259.48375
Skewness-1.3612974
Sum5162740.6
Variance316570.18
MonotonicityNot monotonic
2024-04-06T22:21:58.078535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
191189.044349166 3
 
10.0%
191513.535026286 2
 
6.7%
190704.904312713 2
 
6.7%
192194.261157773 1
 
3.3%
191643.472408667 1
 
3.3%
189369.53962474 1
 
3.3%
191374.584035138 1
 
3.3%
191041.238206348 1
 
3.3%
190933.4318253 1
 
3.3%
190230.720043589 1
 
3.3%
Other values (13) 13
43.3%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
189369.53962474 1
 
3.3%
190230.720043589 1
 
3.3%
190567.418315661 1
 
3.3%
190704.904312713 2
6.7%
190933.4318253 1
 
3.3%
191041.238206348 1
 
3.3%
191042.197178853 1
 
3.3%
191152.432649234 1
 
3.3%
191189.044349166 3
10.0%
191217.02556173 1
 
3.3%
ValueCountFrequency (%)
192194.261157773 1
3.3%
192030.207914987 1
3.3%
191713.014337305 1
3.3%
191643.472408667 1
3.3%
191634.03001625 1
3.3%
191594.6614089 1
3.3%
191513.535026286 2
6.7%
191503.35316026 1
3.3%
191432.044877391 1
3.3%
191390.806562942 1
3.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean440004.33
Minimum438484.86
Maximum441953.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T22:21:58.191932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438484.86
5-th percentile438623.32
Q1438940.61
median439672.79
Q3441084.06
95-th percentile441713.1
Maximum441953.57
Range3468.7087
Interquartile range (IQR)2143.4498

Descriptive statistics

Standard deviation1157.2108
Coefficient of variation (CV)0.0026299987
Kurtosis-1.5114621
Mean440004.33
Median Absolute Deviation (MAD)974.70946
Skewness0.27941542
Sum11880117
Variance1339136.9
MonotonicityNot monotonic
2024-04-06T22:21:58.311134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
441186.97127864 3
 
10.0%
439672.786239027 2
 
6.7%
440940.384414334 2
 
6.7%
438676.781166336 1
 
3.3%
439056.514601277 1
 
3.3%
441629.361414684 1
 
3.3%
438600.409604547 1
 
3.3%
439333.421297264 1
 
3.3%
441622.967829008 1
 
3.3%
439076.473191235 1
 
3.3%
Other values (13) 13
43.3%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
438484.863131835 1
3.3%
438600.409604547 1
3.3%
438676.781166336 1
3.3%
438698.076775583 1
3.3%
438832.871467502 1
3.3%
438865.160717275 1
3.3%
438938.604807179 1
3.3%
438942.619642611 1
3.3%
439056.514601277 1
3.3%
439076.473191235 1
3.3%
ValueCountFrequency (%)
441953.57184435 1
 
3.3%
441748.984193168 1
 
3.3%
441629.361414684 1
 
3.3%
441622.967829008 1
 
3.3%
441186.97127864 3
10.0%
440981.152681881 1
 
3.3%
440940.384414334 2
6.7%
440543.025482117 1
 
3.3%
440198.987570121 1
 
3.3%
439672.786239027 2
6.7%

축산업무구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
동물병원
21 
<NA>
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 21
70.0%
<NA> 9
30.0%

Length

2024-04-06T22:21:58.442160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:58.530634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 21
70.0%
na 9
30.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
<NA>
9 

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
70.0%
<NA> 9
30.0%

Length

2024-04-06T22:21:58.625798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:21:58.718358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
na 9
30.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
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20317000031700000102012000120120305<NA>3폐업2폐업20150306<NA><NA><NA>02-3281-75820.0<NA>서울특별시 금천구 독산동 989번지서울특별시 금천구 독산로85길 40 (독산동)8543러브펫동물병원2015-03-06 18:02:00I2018-08-31 23:59:59.0<NA>191189.044349441186.971279동물병원<NA><NA>0<NA>
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23317000031700000102016000120160608<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 금천구 독산동 1023-14번지서울특별시 금천구 독산로 225, 1층 (독산동)8581독산온동물병원2016-06-09 14:58:39I2018-08-31 23:59:59.0<NA>191217.025562440543.025482동물병원<NA><NA>0<NA>
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25317000031700000102017000120170327<NA>1영업/정상0정상<NA><NA><NA><NA>02-855-8575152.5<NA>서울특별시 금천구 독산동 145-13서울특별시 금천구 시흥대로 483 (독산동)853124시 글로리 동물병원2023-01-10 09:29:49U2022-11-30 23:02:00.0<NA>190933.431825441622.967829<NA><NA><NA><NA><NA>
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2731700003170000010201800012018-04-10<NA>1영업/정상0정상<NA><NA><NA><NA>802-2811227.32<NA>서울특별시 금천구 시흥동 904-6 서우빌딩서울특별시 금천구 시흥대로 172, 서우빌딩 (시흥동)8631더조은 동물의료센터2023-06-12 09:16:05U2022-12-05 23:04:00.0<NA>191374.584035438600.409605<NA><NA><NA><NA><NA>
2831700003170000010201900012019-11-01<NA>3폐업2폐업2023-09-07<NA><NA><NA>6978-9500<NA><NA>서울특별시 금천구 가산동 550-1 IT캐슬서울특별시 금천구 가산디지털2로 98, IT캐슬 2동 210호 (가산동)8506나비셀 동물의료센터2023-09-07 15:20:34U2022-12-09 00:09:00.0<NA>189369.539625441629.361415<NA><NA><NA><NA><NA>
29317000031700000102022000120220524<NA>1영업/정상0정상<NA><NA><NA><NA>02-867-77760.0<NA>서울특별시 금천구 시흥동 837서울특별시 금천구 독산로 70-1, 1층 (시흥동)8573허브동물병원2022-05-24 14:12:32I2021-12-04 22:06:00.0<NA>191643.472409439056.514601<NA><NA><NA><NA><NA>