Overview

Dataset statistics

Number of variables44
Number of observations182
Missing cells2155
Missing cells (%)26.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.3 KiB
Average record size in memory378.7 B

Variable types

Categorical19
Text7
DateTime4
Unsupported9
Numeric4
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18055/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
급수시설구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (71.6%)Imbalance
여성종사자수 is highly imbalanced (71.6%)Imbalance
총인원 is highly imbalanced (71.6%)Imbalance
본사종업원수 is highly imbalanced (59.6%)Imbalance
공장사무직종업원수 is highly imbalanced (60.5%)Imbalance
공장판매직종업원수 is highly imbalanced (60.5%)Imbalance
보증액 is highly imbalanced (62.9%)Imbalance
월세액 is highly imbalanced (62.9%)Imbalance
시설총규모 is highly imbalanced (51.6%)Imbalance
인허가취소일자 has 182 (100.0%) missing valuesMissing
폐업일자 has 83 (45.6%) missing valuesMissing
휴업시작일자 has 182 (100.0%) missing valuesMissing
휴업종료일자 has 182 (100.0%) missing valuesMissing
재개업일자 has 182 (100.0%) missing valuesMissing
전화번호 has 92 (50.5%) missing valuesMissing
소재지면적 has 48 (26.4%) missing valuesMissing
도로명주소 has 13 (7.1%) missing valuesMissing
도로명우편번호 has 14 (7.7%) missing valuesMissing
좌표정보(X) has 3 (1.6%) missing valuesMissing
좌표정보(Y) has 3 (1.6%) missing valuesMissing
영업장주변구분명 has 182 (100.0%) missing valuesMissing
등급구분명 has 182 (100.0%) missing valuesMissing
급수시설구분명 has 181 (99.5%) missing valuesMissing
다중이용업소여부 has 80 (44.0%) missing valuesMissing
전통업소지정번호 has 182 (100.0%) missing valuesMissing
전통업소주된음식 has 182 (100.0%) missing valuesMissing
홈페이지 has 182 (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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 2 (1.1%) zerosZeros

Reproduction

Analysis started2024-05-11 01:58:25.085198
Analysis finished2024-05-11 01:58:26.899935
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3030000
182 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 182
100.0%

Length

2024-05-11T01:58:27.132377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:27.419124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 182
100.0%

관리번호
Text

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T01:58:28.023680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters4004
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

Unique182 ?
Unique (%)100.0%

Sample

1st row3030000-135-2004-00001
2nd row3030000-135-2004-00002
3rd row3030000-135-2004-00003
4th row3030000-135-2004-00004
5th row3030000-135-2004-00005
ValueCountFrequency (%)
3030000-135-2004-00001 1
 
0.5%
3030000-135-2020-00005 1
 
0.5%
3030000-135-2020-00007 1
 
0.5%
3030000-135-2020-00008 1
 
0.5%
3030000-135-2020-00009 1
 
0.5%
3030000-135-2020-00010 1
 
0.5%
3030000-135-2020-00011 1
 
0.5%
3030000-135-2020-00012 1
 
0.5%
3030000-135-2020-00013 1
 
0.5%
3030000-135-2020-00014 1
 
0.5%
Other values (172) 172
94.5%
2024-05-11T01:58:29.461737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1838
45.9%
3 593
 
14.8%
- 546
 
13.6%
1 362
 
9.0%
2 303
 
7.6%
5 212
 
5.3%
4 37
 
0.9%
6 30
 
0.7%
8 29
 
0.7%
7 28
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3458
86.4%
Dash Punctuation 546
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1838
53.2%
3 593
 
17.1%
1 362
 
10.5%
2 303
 
8.8%
5 212
 
6.1%
4 37
 
1.1%
6 30
 
0.9%
8 29
 
0.8%
7 28
 
0.8%
9 26
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 546
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1838
45.9%
3 593
 
14.8%
- 546
 
13.6%
1 362
 
9.0%
2 303
 
7.6%
5 212
 
5.3%
4 37
 
0.9%
6 30
 
0.7%
8 29
 
0.7%
7 28
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1838
45.9%
3 593
 
14.8%
- 546
 
13.6%
1 362
 
9.0%
2 303
 
7.6%
5 212
 
5.3%
4 37
 
0.9%
6 30
 
0.7%
8 29
 
0.7%
7 28
 
0.7%

인허가일자
Date

Distinct171
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2004-04-28 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T01:58:29.991922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:58:30.524530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
99 
1
83 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 99
54.4%
1 83
45.6%

Length

2024-05-11T01:58:31.047719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:31.396274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 99
54.4%
1 83
45.6%

영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
99 
영업/정상
83 

Length

Max length5
Median length2
Mean length3.3681319
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 99
54.4%
영업/정상 83
45.6%

Length

2024-05-11T01:58:31.868931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:32.338520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 99
54.4%
영업/정상 83
45.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2
99 
1
83 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 99
54.4%
1 83
45.6%

Length

2024-05-11T01:58:32.872069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:33.276640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 99
54.4%
1 83
45.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
99 
영업
83 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 99
54.4%
영업 83
45.6%

Length

2024-05-11T01:58:33.699716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:34.180305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 99
54.4%
영업 83
45.6%

폐업일자
Date

MISSING 

Distinct95
Distinct (%)96.0%
Missing83
Missing (%)45.6%
Memory size1.6 KiB
Minimum2005-11-30 00:00:00
Maximum2024-04-12 00:00:00
2024-05-11T01:58:34.645122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:58:35.265404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

전화번호
Text

MISSING 

Distinct90
Distinct (%)100.0%
Missing92
Missing (%)50.5%
Memory size1.6 KiB
2024-05-11T01:58:36.102112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.944444
Min length7

Characters and Unicode

Total characters985
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

Unique90 ?
Unique (%)100.0%

Sample

1st row4641196
2nd row02 4608911
3rd row5157591
4th row02 4687000
5th row0222975424
ValueCountFrequency (%)
02 33
 
22.8%
070 9
 
6.2%
517 2
 
1.4%
025232381 1
 
0.7%
0221382575 1
 
0.7%
07048606807 1
 
0.7%
5176217 1
 
0.7%
025176217 1
 
0.7%
0269290597 1
 
0.7%
0262056801 1
 
0.7%
Other values (94) 94
64.8%
2024-05-11T01:58:37.564357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 214
21.7%
2 140
14.2%
7 89
9.0%
5 82
 
8.3%
4 81
 
8.2%
79
 
8.0%
1 74
 
7.5%
6 70
 
7.1%
3 62
 
6.3%
8 55
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 906
92.0%
Space Separator 79
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 214
23.6%
2 140
15.5%
7 89
9.8%
5 82
 
9.1%
4 81
 
8.9%
1 74
 
8.2%
6 70
 
7.7%
3 62
 
6.8%
8 55
 
6.1%
9 39
 
4.3%
Space Separator
ValueCountFrequency (%)
79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 985
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 214
21.7%
2 140
14.2%
7 89
9.0%
5 82
 
8.3%
4 81
 
8.2%
79
 
8.0%
1 74
 
7.5%
6 70
 
7.1%
3 62
 
6.3%
8 55
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 214
21.7%
2 140
14.2%
7 89
9.0%
5 82
 
8.3%
4 81
 
8.2%
79
 
8.0%
1 74
 
7.5%
6 70
 
7.1%
3 62
 
6.3%
8 55
 
5.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)73.1%
Missing48
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean391.37784
Minimum0
Maximum43861
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T01:58:38.283837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16.65
median25.075
Q369.3825
95-th percentile290.383
Maximum43861
Range43861
Interquartile range (IQR)62.7325

Descriptive statistics

Standard deviation3785.4239
Coefficient of variation (CV)9.6720446
Kurtosis133.71262
Mean391.37784
Median Absolute Deviation (MAD)21.075
Skewness11.557505
Sum52444.63
Variance14329434
MonotonicityNot monotonic
2024-05-11T01:58:38.831561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 11
 
6.0%
33.0 7
 
3.8%
10.0 6
 
3.3%
30.0 4
 
2.2%
5.0 3
 
1.6%
6.6 2
 
1.1%
20.0 2
 
1.1%
0.0 2
 
1.1%
3.0 2
 
1.1%
3.1 2
 
1.1%
Other values (88) 93
51.1%
(Missing) 48
26.4%
ValueCountFrequency (%)
0.0 2
 
1.1%
0.63 1
 
0.5%
1.65 1
 
0.5%
2.0 1
 
0.5%
2.5 1
 
0.5%
3.0 2
 
1.1%
3.1 2
 
1.1%
3.3 11
6.0%
3.7 1
 
0.5%
4.0 2
 
1.1%
ValueCountFrequency (%)
43861.0 1
0.5%
980.37 1
0.5%
582.4 1
0.5%
498.0 1
0.5%
389.2 1
0.5%
375.0 1
0.5%
301.68 1
0.5%
284.3 1
0.5%
281.42 1
0.5%
238.0 1
0.5%

소재지우편번호
Text

Distinct55
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T01:58:39.565699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2857143
Min length6

Characters and Unicode

Total characters1144
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

Unique20 ?
Unique (%)11.0%

Sample

1st row133832
2nd row133-835
3rd row133831
4th row133832
5th row133825
ValueCountFrequency (%)
133832 15
 
8.2%
133834 14
 
7.7%
133831 10
 
5.5%
133825 9
 
4.9%
133822 8
 
4.4%
133827 8
 
4.4%
133-834 8
 
4.4%
133850 6
 
3.3%
133-832 6
 
3.3%
133-822 5
 
2.7%
Other values (45) 93
51.1%
2024-05-11T01:58:40.613744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 454
39.7%
1 208
18.2%
8 178
 
15.6%
2 99
 
8.7%
- 52
 
4.5%
4 40
 
3.5%
5 35
 
3.1%
7 28
 
2.4%
0 23
 
2.0%
9 19
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1092
95.5%
Dash Punctuation 52
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 454
41.6%
1 208
19.0%
8 178
 
16.3%
2 99
 
9.1%
4 40
 
3.7%
5 35
 
3.2%
7 28
 
2.6%
0 23
 
2.1%
9 19
 
1.7%
6 8
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1144
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 454
39.7%
1 208
18.2%
8 178
 
15.6%
2 99
 
8.7%
- 52
 
4.5%
4 40
 
3.5%
5 35
 
3.1%
7 28
 
2.4%
0 23
 
2.0%
9 19
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1144
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 454
39.7%
1 208
18.2%
8 178
 
15.6%
2 99
 
8.7%
- 52
 
4.5%
4 40
 
3.5%
5 35
 
3.1%
7 28
 
2.4%
0 23
 
2.0%
9 19
 
1.7%

지번주소
Text

Distinct126
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T01:58:41.583290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length28.076923
Min length18

Characters and Unicode

Total characters5110
Distinct characters192
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)55.5%

Sample

1st row서울특별시 성동구 성수동*가 ***-*번지 (지상*층)
2nd row서울특별시 성동구 성수동*가 ***-*
3rd row서울특별시 성동구 성수동*가 ***-**번지 우영테크노빌딩 ***호
4th row서울특별시 성동구 성수동*가 ***-**번지 (지상*층)
5th row서울특별시 성동구 성수동*가 ***-*번지
ValueCountFrequency (%)
서울특별시 182
20.2%
성동구 182
20.2%
성수동*가 133
14.7%
108
12.0%
번지 72
 
8.0%
용답동 16
 
1.8%
지상*층 16
 
1.8%
호 16
 
1.8%
층 7
 
0.8%
효정빌딩 7
 
0.8%
Other values (103) 164
18.2%
2024-05-11T01:58:43.072293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1049
20.5%
817
16.0%
동 367
 
7.2%
성 334
 
6.5%
울 196
 
3.8%
서 195
 
3.8%
시 187
 
3.7%
특 182
 
3.6%
별 182
 
3.6%
구 182
 
3.6%
Other values (182) 1419
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2997
58.6%
Other Punctuation 1052
 
20.6%
Space Separator 817
 
16.0%
Dash Punctuation 165
 
3.2%
Uppercase Letter 49
 
1.0%
Close Punctuation 8
 
0.2%
Open Punctuation 8
 
0.2%
Decimal Number 8
 
0.2%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 367
12.2%
성 334
 
11.1%
울 196
 
6.5%
서 195
 
6.5%
시 187
 
6.2%
특 182
 
6.1%
별 182
 
6.1%
구 182
 
6.1%
수 148
 
4.9%
가 141
 
4.7%
Other values (147) 883
29.5%
Uppercase Letter
ValueCountFrequency (%)
K 7
14.3%
D 7
14.3%
T 5
10.2%
I 4
 
8.2%
B 3
 
6.1%
O 3
 
6.1%
S 3
 
6.1%
G 2
 
4.1%
N 2
 
4.1%
M 2
 
4.1%
Other values (9) 11
22.4%
Lowercase Letter
ValueCountFrequency (%)
e 1
16.7%
r 1
16.7%
w 1
16.7%
o 1
16.7%
s 1
16.7%
k 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1049
99.7%
/ 2
 
0.2%
, 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
3 2
25.0%
Space Separator
ValueCountFrequency (%)
817
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2997
58.6%
Common 2058
40.3%
Latin 55
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 367
12.2%
성 334
 
11.1%
울 196
 
6.5%
서 195
 
6.5%
시 187
 
6.2%
특 182
 
6.1%
별 182
 
6.1%
구 182
 
6.1%
수 148
 
4.9%
가 141
 
4.7%
Other values (147) 883
29.5%
Latin
ValueCountFrequency (%)
K 7
12.7%
D 7
12.7%
T 5
 
9.1%
I 4
 
7.3%
B 3
 
5.5%
O 3
 
5.5%
S 3
 
5.5%
G 2
 
3.6%
N 2
 
3.6%
M 2
 
3.6%
Other values (15) 17
30.9%
Common
ValueCountFrequency (%)
* 1049
51.0%
817
39.7%
- 165
 
8.0%
) 8
 
0.4%
( 8
 
0.4%
1 3
 
0.1%
2 3
 
0.1%
3 2
 
0.1%
/ 2
 
0.1%
, 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2997
58.6%
ASCII 2113
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1049
49.6%
817
38.7%
- 165
 
7.8%
) 8
 
0.4%
( 8
 
0.4%
K 7
 
0.3%
D 7
 
0.3%
T 5
 
0.2%
I 4
 
0.2%
1 3
 
0.1%
Other values (25) 40
 
1.9%
Hangul
ValueCountFrequency (%)
동 367
12.2%
성 334
 
11.1%
울 196
 
6.5%
서 195
 
6.5%
시 187
 
6.2%
특 182
 
6.1%
별 182
 
6.1%
구 182
 
6.1%
수 148
 
4.9%
가 141
 
4.7%
Other values (147) 883
29.5%

도로명주소
Text

MISSING 

Distinct145
Distinct (%)85.8%
Missing13
Missing (%)7.1%
Memory size1.6 KiB
2024-05-11T01:58:43.718033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length38.911243
Min length25

Characters and Unicode

Total characters6576
Distinct characters193
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)76.3%

Sample

1st row서울특별시 성동구 아차산로 ** (성수동*가)
2nd row서울특별시 성동구 광나루로 ***, ***호 (성수동*가, 서울숲아이티캐슬)
3rd row서울특별시 성동구 독서당로**길 ** (옥수동,현대아파트상가 지*호)
4th row서울특별시 성동구 왕십리로 ***, 지상**층 (도선동, 코스모타워)
5th row서울특별시 성동구 광나루로*길 **, ***-*, ***-*, ***-*호 (성수동*가)
ValueCountFrequency (%)
174
14.2%
서울특별시 169
13.8%
성동구 169
13.8%
성수동*가 125
10.2%
층 112
 
9.1%
호 110
 
9.0%
아차산로*길 17
 
1.4%
광나루로 16
 
1.3%
성수이로 14
 
1.1%
용답동 13
 
1.1%
Other values (157) 306
25.0%
2024-05-11T01:58:44.952461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1274
19.4%
1056
16.1%
동 360
 
5.5%
성 346
 
5.3%
, 211
 
3.2%
서 185
 
2.8%
울 183
 
2.8%
시 178
 
2.7%
) 175
 
2.7%
( 175
 
2.7%
Other values (183) 2433
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3574
54.3%
Other Punctuation 1486
22.6%
Space Separator 1056
 
16.1%
Close Punctuation 175
 
2.7%
Open Punctuation 175
 
2.7%
Uppercase Letter 53
 
0.8%
Dash Punctuation 39
 
0.6%
Decimal Number 11
 
0.2%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 360
 
10.1%
성 346
 
9.7%
서 185
 
5.2%
울 183
 
5.1%
시 178
 
5.0%
수 173
 
4.8%
별 169
 
4.7%
특 169
 
4.7%
구 169
 
4.7%
층 147
 
4.1%
Other values (146) 1495
41.8%
Uppercase Letter
ValueCountFrequency (%)
B 11
20.8%
A 6
11.3%
K 6
11.3%
D 6
11.3%
T 5
9.4%
I 4
 
7.5%
S 3
 
5.7%
Y 2
 
3.8%
V 1
 
1.9%
C 1
 
1.9%
Other values (8) 8
15.1%
Decimal Number
ValueCountFrequency (%)
5 4
36.4%
6 2
18.2%
1 2
18.2%
2 1
 
9.1%
9 1
 
9.1%
0 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
k 1
14.3%
r 1
14.3%
e 1
14.3%
w 1
14.3%
o 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1274
85.7%
, 211
 
14.2%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3574
54.3%
Common 2942
44.7%
Latin 60
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 360
 
10.1%
성 346
 
9.7%
서 185
 
5.2%
울 183
 
5.1%
시 178
 
5.0%
수 173
 
4.8%
별 169
 
4.7%
특 169
 
4.7%
구 169
 
4.7%
층 147
 
4.1%
Other values (146) 1495
41.8%
Latin
ValueCountFrequency (%)
B 11
18.3%
A 6
10.0%
K 6
10.0%
D 6
10.0%
T 5
 
8.3%
I 4
 
6.7%
S 3
 
5.0%
Y 2
 
3.3%
s 2
 
3.3%
V 1
 
1.7%
Other values (14) 14
23.3%
Common
ValueCountFrequency (%)
* 1274
43.3%
1056
35.9%
, 211
 
7.2%
) 175
 
5.9%
( 175
 
5.9%
- 39
 
1.3%
5 4
 
0.1%
6 2
 
0.1%
1 2
 
0.1%
2 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3574
54.3%
ASCII 3002
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1274
42.4%
1056
35.2%
, 211
 
7.0%
) 175
 
5.8%
( 175
 
5.8%
- 39
 
1.3%
B 11
 
0.4%
A 6
 
0.2%
K 6
 
0.2%
D 6
 
0.2%
Other values (27) 43
 
1.4%
Hangul
ValueCountFrequency (%)
동 360
 
10.1%
성 346
 
9.7%
서 185
 
5.2%
울 183
 
5.1%
시 178
 
5.0%
수 173
 
4.8%
별 169
 
4.7%
특 169
 
4.7%
구 169
 
4.7%
층 147
 
4.1%
Other values (146) 1495
41.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)28.6%
Missing14
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean4781.3929
Minimum4701
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T01:58:45.378920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4724.35
Q14779
median4788
Q34795
95-th percentile4808
Maximum4808
Range107
Interquartile range (IQR)16

Descriptive statistics

Standard deviation23.476842
Coefficient of variation (CV)0.0049100424
Kurtosis3.0512631
Mean4781.3929
Median Absolute Deviation (MAD)9
Skewness-1.8116114
Sum803274
Variance551.1621
MonotonicityNot monotonic
2024-05-11T01:58:45.812365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4793 14
 
7.7%
4808 11
 
6.0%
4783 10
 
5.5%
4788 9
 
4.9%
4781 8
 
4.4%
4782 8
 
4.4%
4799 8
 
4.4%
4779 7
 
3.8%
4797 6
 
3.3%
4794 6
 
3.3%
Other values (38) 81
44.5%
(Missing) 14
 
7.7%
ValueCountFrequency (%)
4701 1
 
0.5%
4704 1
 
0.5%
4709 5
2.7%
4716 1
 
0.5%
4724 1
 
0.5%
4725 1
 
0.5%
4727 1
 
0.5%
4728 1
 
0.5%
4735 1
 
0.5%
4736 1
 
0.5%
ValueCountFrequency (%)
4808 11
6.0%
4805 1
 
0.5%
4804 3
 
1.6%
4803 1
 
0.5%
4802 3
 
1.6%
4799 8
4.4%
4798 6
3.3%
4797 6
3.3%
4796 2
 
1.1%
4795 4
 
2.2%

사업장명
Text

Distinct177
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T01:58:46.337992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length14.5
Mean length8.1923077
Min length2

Characters and Unicode

Total characters1491
Distinct characters269
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

Unique172 ?
Unique (%)94.5%

Sample

1st row리드팜 주식회사
2nd row주식회사유니베라
3rd row(주)코스타월드
4th row(주)한국메디칼푸드
5th row(주)이앤에프메딕스
ValueCountFrequency (%)
주식회사 55
 
22.4%
백세식품 3
 
1.2%
에이치 2
 
0.8%
앤 2
 
0.8%
씨 2
 
0.8%
영풍글로벌 2
 
0.8%
주)한국메디칼푸드 2
 
0.8%
마미야 2
 
0.8%
셀투팜 1
 
0.4%
주)클리오 1
 
0.4%
Other values (174) 174
70.7%
2024-05-11T01:58:47.356452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 133
 
8.9%
( 75
 
5.0%
) 75
 
5.0%
사 64
 
4.3%
식 64
 
4.3%
64
 
4.3%
이 63
 
4.2%
회 62
 
4.2%
스 49
 
3.3%
트 24
 
1.6%
Other values (259) 818
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1242
83.3%
Open Punctuation 75
 
5.0%
Close Punctuation 75
 
5.0%
Space Separator 64
 
4.3%
Uppercase Letter 14
 
0.9%
Lowercase Letter 12
 
0.8%
Decimal Number 6
 
0.4%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 133
 
10.7%
사 64
 
5.2%
식 64
 
5.2%
이 63
 
5.1%
회 62
 
5.0%
스 49
 
3.9%
트 24
 
1.9%
에 20
 
1.6%
리 19
 
1.5%
오 19
 
1.5%
Other values (234) 725
58.4%
Uppercase Letter
ValueCountFrequency (%)
M 3
21.4%
S 2
14.3%
F 2
14.3%
D 2
14.3%
H 1
 
7.1%
L 1
 
7.1%
C 1
 
7.1%
N 1
 
7.1%
O 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
n 3
25.0%
d 2
16.7%
g 2
16.7%
o 2
16.7%
t 1
 
8.3%
a 1
 
8.3%
i 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
5 2
33.3%
6 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
. 1
33.3%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1242
83.3%
Common 223
 
15.0%
Latin 26
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 133
 
10.7%
사 64
 
5.2%
식 64
 
5.2%
이 63
 
5.1%
회 62
 
5.0%
스 49
 
3.9%
트 24
 
1.9%
에 20
 
1.6%
리 19
 
1.5%
오 19
 
1.5%
Other values (234) 725
58.4%
Latin
ValueCountFrequency (%)
n 3
11.5%
M 3
11.5%
d 2
 
7.7%
g 2
 
7.7%
S 2
 
7.7%
o 2
 
7.7%
F 2
 
7.7%
D 2
 
7.7%
H 1
 
3.8%
t 1
 
3.8%
Other values (6) 6
23.1%
Common
ValueCountFrequency (%)
( 75
33.6%
) 75
33.6%
64
28.7%
3 2
 
0.9%
5 2
 
0.9%
6 2
 
0.9%
, 1
 
0.4%
. 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1242
83.3%
ASCII 249
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 133
 
10.7%
사 64
 
5.2%
식 64
 
5.2%
이 63
 
5.1%
회 62
 
5.0%
스 49
 
3.9%
트 24
 
1.9%
에 20
 
1.6%
리 19
 
1.5%
오 19
 
1.5%
Other values (234) 725
58.4%
ASCII
ValueCountFrequency (%)
( 75
30.1%
) 75
30.1%
64
25.7%
n 3
 
1.2%
M 3
 
1.2%
d 2
 
0.8%
3 2
 
0.8%
5 2
 
0.8%
g 2
 
0.8%
S 2
 
0.8%
Other values (15) 19
 
7.6%

최종수정일자
Date

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2004-04-28 00:00:00
Maximum2024-05-07 17:36:11
2024-05-11T01:58:47.787079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:58:48.419908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
U
96 
I
86 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 96
52.7%
I 86
47.3%

Length

2024-05-11T01:58:48.975605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:49.427533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 96
52.7%
i 86
47.3%

데이터갱신일자
Date

Distinct122
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T01:58:49.807931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:58:50.501612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
건강기능식품유통전문판매업
182 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 182
100.0%

Length

2024-05-11T01:58:50.946149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:51.299150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 182
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)65.4%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean204425.4
Minimum201084.71
Maximum205924.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T01:58:51.682509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201084.71
5-th percentile202348.68
Q1203903.99
median204730.1
Q3205039.91
95-th percentile205563.57
Maximum205924.04
Range4839.3305
Interquartile range (IQR)1135.918

Descriptive statistics

Standard deviation949.70438
Coefficient of variation (CV)0.004645726
Kurtosis1.843341
Mean204425.4
Median Absolute Deviation (MAD)484.60081
Skewness-1.3029176
Sum36592146
Variance901938.4
MonotonicityNot monotonic
2024-05-11T01:58:52.134520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204743.677915464 7
 
3.8%
203887.185047227 7
 
3.8%
205039.907145725 6
 
3.3%
205014.436191811 6
 
3.3%
204167.721292495 5
 
2.7%
204764.658079784 5
 
2.7%
204848.299601913 4
 
2.2%
203808.758780095 3
 
1.6%
203684.281166499 3
 
1.6%
204798.346778805 3
 
1.6%
Other values (107) 130
71.4%
ValueCountFrequency (%)
201084.709621627 1
0.5%
201396.118230344 1
0.5%
201476.61570221 1
0.5%
201598.632393769 1
0.5%
201729.991899489 1
0.5%
201772.807083568 1
0.5%
201914.222823422 1
0.5%
201939.3500876 1
0.5%
202130.559805 1
0.5%
202372.912023599 1
0.5%
ValueCountFrequency (%)
205924.040131611 1
0.5%
205921.703469803 1
0.5%
205753.250469411 1
0.5%
205649.265886683 1
0.5%
205638.676388032 2
1.1%
205628.634233264 1
0.5%
205614.244466906 2
1.1%
205557.941680639 2
1.1%
205527.887051222 2
1.1%
205526.575000919 2
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)65.4%
Missing3
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean449648.48
Minimum448272.02
Maximum452076.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T01:58:52.551414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448272.02
5-th percentile448698.17
Q1449055.88
median449369.79
Q3449860.06
95-th percentile451536.17
Maximum452076.36
Range3804.3428
Interquartile range (IQR)804.17472

Descriptive statistics

Standard deviation865.48307
Coefficient of variation (CV)0.0019247993
Kurtosis0.53775694
Mean449648.48
Median Absolute Deviation (MAD)384.72062
Skewness1.2043696
Sum80487078
Variance749060.94
MonotonicityNot monotonic
2024-05-11T01:58:53.280104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449357.9464135 7
 
3.8%
449860.057407228 7
 
3.8%
449216.223655036 6
 
3.3%
448961.208329966 6
 
3.3%
449290.778225677 5
 
2.7%
449437.628334972 5
 
2.7%
449551.236385759 4
 
2.2%
449612.381770941 3
 
1.6%
449280.97521227 3
 
1.6%
448669.043360044 3
 
1.6%
Other values (107) 130
71.4%
ValueCountFrequency (%)
448272.019031398 1
 
0.5%
448318.33603659 1
 
0.5%
448508.756036449 1
 
0.5%
448600.466747787 1
 
0.5%
448607.441251647 1
 
0.5%
448659.767345547 1
 
0.5%
448669.043360044 3
1.6%
448701.40145153 2
1.1%
448714.038805333 1
 
0.5%
448755.097910215 1
 
0.5%
ValueCountFrequency (%)
452076.36180744 1
0.5%
451994.619475354 1
0.5%
451938.391441696 1
0.5%
451908.86237999 1
0.5%
451904.754295226 1
0.5%
451687.890552805 1
0.5%
451545.254503307 1
0.5%
451544.0973465 1
0.5%
451536.680876573 1
0.5%
451536.108393691 1
0.5%

위생업태명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
건강기능식품유통전문판매업
102 
<NA>
80 

Length

Max length13
Median length13
Mean length9.043956
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 102
56.0%
<NA> 80
44.0%

Length

2024-05-11T01:58:53.689676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:54.073926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 102
56.0%
na 80
44.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
173 
0
 
9

Length

Max length4
Median length4
Mean length3.8516484
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 173
95.1%
0 9
 
4.9%

Length

2024-05-11T01:58:54.655063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:55.039138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
95.1%
0 9
 
4.9%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
173 
0
 
9

Length

Max length4
Median length4
Mean length3.8516484
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 173
95.1%
0 9
 
4.9%

Length

2024-05-11T01:58:55.378901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:55.713139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
95.1%
0 9
 
4.9%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing181
Missing (%)99.5%
Memory size1.6 KiB
2024-05-11T01:58:55.998471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row상수도전용
ValueCountFrequency (%)
상수도전용 1
100.0%
2024-05-11T01:58:56.846748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 1
20.0%
수 1
20.0%
도 1
20.0%
전 1
20.0%
용 1
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
173 
0
 
9

Length

Max length4
Median length4
Mean length3.8516484
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 173
95.1%
0 9
 
4.9%

Length

2024-05-11T01:58:57.311892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:57.723546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 173
95.1%
0 9
 
4.9%

본사종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
155 
0
26 
1
 
1

Length

Max length4
Median length4
Mean length3.5549451
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 155
85.2%
0 26
 
14.3%
1 1
 
0.5%

Length

2024-05-11T01:58:58.313623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:58.734757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 155
85.2%
0 26
 
14.3%
1 1
 
0.5%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
156 
0
25 
5
 
1

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 156
85.7%
0 25
 
13.7%
5 1
 
0.5%

Length

2024-05-11T01:58:59.184201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:58:59.625277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
85.7%
0 25
 
13.7%
5 1
 
0.5%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
156 
0
25 
10
 
1

Length

Max length4
Median length4
Mean length3.5769231
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 156
85.7%
0 25
 
13.7%
10 1
 
0.5%

Length

2024-05-11T01:58:59.982579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:59:00.381516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
85.7%
0 25
 
13.7%
10 1
 
0.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
156 
0
26 

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 156
85.7%
0 26
 
14.3%

Length

2024-05-11T01:59:00.826922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:59:01.238595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
85.7%
0 26
 
14.3%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
117 
자가
57 
임대
 
8

Length

Max length4
Median length4
Mean length3.2857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 117
64.3%
자가 57
31.3%
임대 8
 
4.4%

Length

2024-05-11T01:59:01.687316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:59:02.156242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
64.3%
자가 57
31.3%
임대 8
 
4.4%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
169 
0
 
13

Length

Max length4
Median length4
Mean length3.7857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 169
92.9%
0 13
 
7.1%

Length

2024-05-11T01:59:02.741249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:59:03.080641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 169
92.9%
0 13
 
7.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
169 
0
 
13

Length

Max length4
Median length4
Mean length3.7857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 169
92.9%
0 13
 
7.1%

Length

2024-05-11T01:59:03.409948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:59:03.817068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 169
92.9%
0 13
 
7.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.0%
Missing80
Missing (%)44.0%
Memory size496.0 B
False
102 
(Missing)
80 
ValueCountFrequency (%)
False 102
56.0%
(Missing) 80
44.0%
2024-05-11T01:59:04.063584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0.0
99 
<NA>
80 
50.28
 
1
75.28
 
1
6.8
 
1

Length

Max length5
Median length3
Mean length3.4615385
Min length3

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row0.0
2nd row<NA>
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 99
54.4%
<NA> 80
44.0%
50.28 1
 
0.5%
75.28 1
 
0.5%
6.8 1
 
0.5%

Length

2024-05-11T01:59:04.459608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:59:04.875315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 99
54.4%
na 80
44.0%
50.28 1
 
0.5%
75.28 1
 
0.5%
6.8 1
 
0.5%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)100.0%
Memory size1.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-135-2004-0000120040428<NA>3폐업2폐업20051130<NA><NA><NA>4641196<NA>133832서울특별시 성동구 성수동*가 ***-*번지 (지상*층)<NA><NA>리드팜 주식회사2004-04-28 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업205085.101334449497.282822건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130300003030000-135-2004-000022004-05-04<NA>3폐업2폐업2024-01-19<NA><NA><NA>02 460891194.0133-835서울특별시 성동구 성수동*가 ***-*서울특별시 성동구 아차산로 ** (성수동*가)4782주식회사유니베라2024-01-19 10:28:47U2023-11-30 22:01:00.0건강기능식품유통전문판매업204591.630913449217.592025<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
230300003030000-135-2004-0000320040623<NA>3폐업2폐업20061023<NA><NA><NA>5157591<NA>133831서울특별시 성동구 성수동*가 ***-**번지 우영테크노빌딩 ***호<NA><NA>(주)코스타월드2004-06-23 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업205197.247682448985.067475건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330300003030000-135-2004-0000420041025<NA>3폐업2폐업20111116<NA><NA><NA>02 4687000195.0133832서울특별시 성동구 성수동*가 ***-**번지 (지상*층)<NA><NA>(주)한국메디칼푸드2005-11-30 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업205469.945237449396.956795건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
430300003030000-135-2004-0000520041101<NA>1영업/정상1영업<NA><NA><NA><NA><NA>98.04133825서울특별시 성동구 성수동*가 ***-*번지서울특별시 성동구 광나루로 ***, ***호 (성수동*가, 서울숲아이티캐슬)4788(주)이앤에프메딕스2020-02-05 14:02:09U2020-02-07 02:40:00.0건강기능식품유통전문판매업203887.185047449860.057407건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
530300003030000-135-2005-0000120050128<NA>3폐업2폐업20060904<NA><NA><NA>022297542413.0133808서울특별시 성동구 금호동*가 ***번지 정원빌라트 ***호<NA><NA>설악양봉원2005-01-28 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업202130.559805449368.750848건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630300003030000-135-2005-0000220050826<NA>1영업/정상1영업<NA><NA><NA><NA>0222921732<NA>133838서울특별시 성동구 옥수동 *번지 현대아파트상가 지*호서울특별시 성동구 독서당로**길 ** (옥수동,현대아파트상가 지*호)4739동원고려인삼(유통)2005-08-26 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업201598.632394449038.549266건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730300003030000-135-2005-0000320050502<NA>3폐업2폐업20160411<NA><NA><NA>0221853747980.37133882서울특별시 성동구 도선동 **-*번지서울특별시 성동구 왕십리로 ***, 지상**층 (도선동, 코스모타워)4709(주)케이지씨라이프앤진2016-03-18 15:48:44I2018-08-31 23:59:59.0건강기능식품유통전문판매업202932.381983451169.524277건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>05100임대00N0.0<NA><NA><NA>
830300003030000-135-2005-0000420050124<NA>3폐업2폐업20180306<NA><NA><NA><NA>125.85133832서울특별시 성동구 성수동*가 ***-*번지서울특별시 성동구 광나루로*길 **, ***-*, ***-*, ***-*호 (성수동*가)4799창의메디칼(주)2018-03-06 14:37:53I2018-08-31 23:59:59.0건강기능식품유통전문판매업205649.265887449329.707492건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930300003030000-135-2005-0000520050422<NA>1영업/정상1영업<NA><NA><NA><NA>041 575 159916.27133825서울특별시 성동구 성수동*가 ***-* 서울숲IT캐슬서울특별시 성동구 광나루로 ***, 지하*층 B***호 (성수동*가)4788(주)다인내추럴2021-04-14 10:49:17I2021-04-16 00:22:57.0건강기능식품유통전문판매업203887.185047449860.057407건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
17230300003030000-135-2023-000092023-06-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.7133-831서울특별시 성동구 성수동*가 ***-** 우리큐브서울특별시 성동구 연무장**길 **, 우리큐브 *층 ***호 (성수동*가)4783(주)나인컬렉티브2024-03-11 15:35:41U2023-12-02 23:03:00.0건강기능식품유통전문판매업205014.436192448961.20833<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17330300003030000-135-2023-000102023-06-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3133-834서울특별시 성동구 성수동*가 ***-**서울특별시 성동구 아차산로*길 **, *층 *-*호 (성수동*가)4795(주)선오2023-06-28 11:56:18I2022-12-05 21:00:00.0건강기능식품유통전문판매업204848.299602449551.236386<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17430300003030000-135-2023-000112023-06-29<NA>1영업/정상1영업<NA><NA><NA><NA>02 60831873<NA>133-823서울특별시 성동구 성수동*가 ***-*** KD타워서울특별시 성동구 왕십리로 ***, KD타워 *층 ***호 (성수동*가)4766프레세2023-06-29 14:48:27I2022-12-07 00:01:00.0건강기능식품유통전문판매업203808.75878449612.381771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17530300003030000-135-2023-000122023-08-25<NA>1영업/정상1영업<NA><NA><NA><NA>070 49050807<NA>133-832서울특별시 성동구 성수동*가 ***-** 성수동 아크벨리서울특별시 성동구 성수이로**길 **, 성수동 아크벨리 **층 ****호 (성수동*가)4798(주)뉴웨이브코퍼레이션2023-08-25 15:28:46I2022-12-07 22:07:00.0건강기능식품유통전문판매업205347.50309449069.890347<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17630300003030000-135-2024-000012024-01-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>133-882서울특별시 성동구 도선동 ** 창성빌딩서울특별시 성동구 왕십리로**나길 **, *층 ****호 (도선동)4709주식회사 이삼오구2024-01-05 15:56:42I2023-12-01 00:07:00.0건강기능식품유통전문판매업203053.350638451286.714896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17730300003030000-135-2024-000022024-03-13<NA>1영업/정상1영업<NA><NA><NA><NA>050 68147582<NA>133-924서울특별시 성동구 성수동*가 ***-**** 라현빌딩서울특별시 성동구 왕십리로 ***, 라현빌딩 *층 (성수동*가)4778주식회사 에스비퓨쳐스2024-03-27 12:53:05U2023-12-02 21:00:00.0건강기능식품유통전문판매업203889.052981449466.396546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17830300003030000-135-2024-000032024-04-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>133-923서울특별시 성동구 성수동*가 *** 트리마제서울특별시 성동구 왕십리로 **, ***동 ****호 (성수동*가, 트리마제)4773주식회사 넥스트원바이오2024-04-02 11:16:09I2023-12-04 00:04:00.0건강기능식품유통전문판매업203911.513091448508.756036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
17930300003030000-135-2024-000042024-04-09<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>133-819서울특별시 성동구 성수동*가 **-**서울특별시 성동구 성수일로 **, *층 ***호 (성수동*가)4780퍼널연구소2024-04-09 15:37:52I2023-12-03 23:01:00.0건강기능식품유통전문판매업204286.871229448964.841565<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18030300003030000-135-2024-000052024-04-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA>132.6133-848서울특별시 성동구 용답동 **-*서울특별시 성동구 용답**길 *-*, *층 A-**호 (용답동)4804레스트아트2024-04-26 12:17:32I2023-12-03 22:08:00.0건강기능식품유통전문판매업204481.098687451174.365026<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
18130300003030000-135-2024-000062024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>70.07133-832서울특별시 성동구 성수동*가 ***-** 성수아카데미타워서울특별시 성동구 성수이로 ***, 성수아카데미타워 *층 ***호 (성수동*가)4797(주)고려생활건강2024-04-30 16:04:09I2023-12-05 00:02:00.0건강기능식품유통전문판매업205039.907146449216.223655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>