Overview

Dataset statistics

Number of variables44
Number of observations45
Missing cells526
Missing cells (%)26.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.7 KiB
Average record size in memory380.9 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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18063/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 (64.7%)Imbalance
여성종사자수 is highly imbalanced (64.7%)Imbalance
총인원 is highly imbalanced (64.7%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 17 (37.8%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
전화번호 has 19 (42.2%) missing valuesMissing
소재지면적 has 24 (53.3%) missing valuesMissing
도로명주소 has 3 (6.7%) missing valuesMissing
도로명우편번호 has 3 (6.7%) missing valuesMissing
좌표정보(X) has 1 (2.2%) missing valuesMissing
좌표정보(Y) has 1 (2.2%) missing valuesMissing
영업장주변구분명 has 45 (100.0%) missing valuesMissing
등급구분명 has 45 (100.0%) missing valuesMissing
급수시설구분명 has 43 (95.6%) missing valuesMissing
다중이용업소여부 has 10 (22.2%) missing valuesMissing
전통업소지정번호 has 45 (100.0%) missing valuesMissing
전통업소주된음식 has 45 (100.0%) missing valuesMissing
홈페이지 has 45 (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 3 (6.7%) zerosZeros

Reproduction

Analysis started2024-05-11 08:59:22.922154
Analysis finished2024-05-11 08:59:23.393578
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3110000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 45
100.0%

Length

2024-05-11T17:59:23.442677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:23.518474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 45
100.0%

관리번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T17:59:23.662411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters990
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

Unique45 ?
Unique (%)100.0%

Sample

1st row3110000-135-2004-00001
2nd row3110000-135-2004-00002
3rd row3110000-135-2005-00001
4th row3110000-135-2005-00002
5th row3110000-135-2005-00003
ValueCountFrequency (%)
3110000-135-2004-00001 1
 
2.2%
3110000-135-2016-00002 1
 
2.2%
3110000-135-2017-00002 1
 
2.2%
3110000-135-2018-00001 1
 
2.2%
3110000-135-2018-00002 1
 
2.2%
3110000-135-2018-00003 1
 
2.2%
3110000-135-2018-00004 1
 
2.2%
3110000-135-2019-00001 1
 
2.2%
3110000-135-2019-00002 1
 
2.2%
3110000-135-2020-00001 1
 
2.2%
Other values (35) 35
77.8%
2024-05-11T17:59:23.923939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 417
42.1%
1 175
17.7%
- 135
 
13.6%
3 100
 
10.1%
2 80
 
8.1%
5 57
 
5.8%
4 9
 
0.9%
8 6
 
0.6%
7 4
 
0.4%
6 4
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 855
86.4%
Dash Punctuation 135
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 417
48.8%
1 175
20.5%
3 100
 
11.7%
2 80
 
9.4%
5 57
 
6.7%
4 9
 
1.1%
8 6
 
0.7%
7 4
 
0.5%
6 4
 
0.5%
9 3
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 990
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 417
42.1%
1 175
17.7%
- 135
 
13.6%
3 100
 
10.1%
2 80
 
8.1%
5 57
 
5.8%
4 9
 
0.9%
8 6
 
0.6%
7 4
 
0.4%
6 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 417
42.1%
1 175
17.7%
- 135
 
13.6%
3 100
 
10.1%
2 80
 
8.1%
5 57
 
5.8%
4 9
 
0.9%
8 6
 
0.6%
7 4
 
0.4%
6 4
 
0.4%

인허가일자
Date

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2004-06-15 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T17:59:24.028549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:59:24.133488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
3
28 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 28
62.2%
1 17
37.8%

Length

2024-05-11T17:59:24.246885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:24.333198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 28
62.2%
1 17
37.8%

영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
28 
영업/정상
17 

Length

Max length5
Median length2
Mean length3.1333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
62.2%
영업/정상 17
37.8%

Length

2024-05-11T17:59:24.439406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:24.540342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
62.2%
영업/정상 17
37.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
2
28 
1
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 28
62.2%
1 17
37.8%

Length

2024-05-11T17:59:24.630635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:24.715968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
62.2%
1 17
37.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
폐업
28 
영업
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
62.2%
영업 17
37.8%

Length

2024-05-11T17:59:24.796393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:24.879126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
62.2%
영업 17
37.8%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)89.3%
Missing17
Missing (%)37.8%
Memory size492.0 B
Minimum2009-09-02 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T17:59:24.958952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:59:25.048975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전화번호
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing19
Missing (%)42.2%
Memory size492.0 B
2024-05-11T17:59:25.188709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.923077
Min length7

Characters and Unicode

Total characters284
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

Unique26 ?
Unique (%)100.0%

Sample

1st row0203532678
2nd row0203567839
3rd row02 3898686
4th row02 3576183
5th row02 3834222
ValueCountFrequency (%)
02 16
30.2%
070 3
 
5.7%
88469410 1
 
1.9%
9599 1
 
1.9%
07086727706 1
 
1.9%
325 1
 
1.9%
9500 1
 
1.9%
304 1
 
1.9%
8881 1
 
1.9%
87794842 1
 
1.9%
Other values (26) 26
49.1%
2024-05-11T17:59:25.455172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
20.1%
37
13.0%
2 33
11.6%
7 28
9.9%
8 25
8.8%
3 24
8.5%
5 22
 
7.7%
9 18
 
6.3%
4 15
 
5.3%
6 13
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
87.0%
Space Separator 37
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
23.1%
2 33
13.4%
7 28
11.3%
8 25
10.1%
3 24
9.7%
5 22
 
8.9%
9 18
 
7.3%
4 15
 
6.1%
6 13
 
5.3%
1 12
 
4.9%
Space Separator
ValueCountFrequency (%)
37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
20.1%
37
13.0%
2 33
11.6%
7 28
9.9%
8 25
8.8%
3 24
8.5%
5 22
 
7.7%
9 18
 
6.3%
4 15
 
5.3%
6 13
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
20.1%
37
13.0%
2 33
11.6%
7 28
9.9%
8 25
8.8%
3 24
8.5%
5 22
 
7.7%
9 18
 
6.3%
4 15
 
5.3%
6 13
 
4.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)81.0%
Missing24
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean68.317619
Minimum0
Maximum198
Zeros3
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T17:59:25.589219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median49.6
Q3109
95-th percentile196.11
Maximum198
Range198
Interquartile range (IQR)76

Descriptive statistics

Standard deviation59.184557
Coefficient of variation (CV)0.8663147
Kurtosis0.16919025
Mean68.317619
Median Absolute Deviation (MAD)45.29
Skewness0.90644576
Sum1434.67
Variance3502.8118
MonotonicityNot monotonic
2024-05-11T17:59:25.690648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
33.0 3
 
6.7%
0.0 3
 
6.7%
49.6 1
 
2.2%
113.5 1
 
2.2%
116.51 1
 
2.2%
49.0 1
 
2.2%
32.37 1
 
2.2%
109.0 1
 
2.2%
196.11 1
 
2.2%
94.89 1
 
2.2%
Other values (7) 7
 
15.6%
(Missing) 24
53.3%
ValueCountFrequency (%)
0.0 3
6.7%
6.0 1
 
2.2%
32.37 1
 
2.2%
33.0 3
6.7%
33.2 1
 
2.2%
49.0 1
 
2.2%
49.6 1
 
2.2%
52.2 1
 
2.2%
56.0 1
 
2.2%
94.89 1
 
2.2%
ValueCountFrequency (%)
198.0 1
2.2%
196.11 1
2.2%
132.0 1
2.2%
116.51 1
2.2%
113.5 1
2.2%
109.0 1
2.2%
97.29 1
2.2%
94.89 1
2.2%
56.0 1
2.2%
52.2 1
2.2%

소재지우편번호
Text

Distinct33
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T17:59:25.862624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1555556
Min length6

Characters and Unicode

Total characters277
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

Unique24 ?
Unique (%)53.3%

Sample

1st row122834
2nd row122896
3rd row122900
4th row122959
5th row122907
ValueCountFrequency (%)
122941 3
 
6.7%
122900 3
 
6.7%
122907 3
 
6.7%
122-902 2
 
4.4%
122906 2
 
4.4%
122933 2
 
4.4%
122896 2
 
4.4%
122832 2
 
4.4%
122200 2
 
4.4%
122888 1
 
2.2%
Other values (23) 23
51.1%
2024-05-11T17:59:26.175483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 100
36.1%
1 53
19.1%
9 30
 
10.8%
0 28
 
10.1%
8 25
 
9.0%
3 10
 
3.6%
4 8
 
2.9%
7 7
 
2.5%
- 7
 
2.5%
6 6
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
97.5%
Dash Punctuation 7
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 100
37.0%
1 53
19.6%
9 30
 
11.1%
0 28
 
10.4%
8 25
 
9.3%
3 10
 
3.7%
4 8
 
3.0%
7 7
 
2.6%
6 6
 
2.2%
5 3
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 100
36.1%
1 53
19.1%
9 30
 
10.8%
0 28
 
10.1%
8 25
 
9.0%
3 10
 
3.6%
4 8
 
2.9%
7 7
 
2.5%
- 7
 
2.5%
6 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 100
36.1%
1 53
19.1%
9 30
 
10.8%
0 28
 
10.1%
8 25
 
9.0%
3 10
 
3.6%
4 8
 
2.9%
7 7
 
2.5%
- 7
 
2.5%
6 6
 
2.2%

지번주소
Text

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T17:59:26.345848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length25.755556
Min length16

Characters and Unicode

Total characters1159
Distinct characters90
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row서울특별시 은평구 녹번동 ***-**번지 ***호
2nd row서울특별시 은평구 역촌동 **-*번지
3rd row서울특별시 은평구 역촌동 **-**번지 외*필지(*층)
4th row서울특별시 은평구 갈현동 ***-**번지
5th row서울특별시 은평구 응암동 **-**번지 (*층)
ValueCountFrequency (%)
서울특별시 45
19.9%
은평구 44
19.5%
번지 28
12.4%
17
 
7.5%
호 12
 
5.3%
응암동 11
 
4.9%
역촌동 9
 
4.0%
녹번동 6
 
2.7%
신사동 5
 
2.2%
층 5
 
2.2%
Other values (33) 44
19.5%
2024-05-11T17:59:26.670432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 228
19.7%
205
17.7%
동 49
 
4.2%
서 45
 
3.9%
특 45
 
3.9%
별 45
 
3.9%
시 45
 
3.9%
구 45
 
3.9%
울 45
 
3.9%
은 44
 
3.8%
Other values (80) 363
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
59.0%
Other Punctuation 229
 
19.8%
Space Separator 205
 
17.7%
Dash Punctuation 37
 
3.2%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
7.2%
서 45
 
6.6%
특 45
 
6.6%
별 45
 
6.6%
시 45
 
6.6%
구 45
 
6.6%
울 45
 
6.6%
은 44
 
6.4%
평 44
 
6.4%
번 35
 
5.1%
Other values (74) 242
35.4%
Other Punctuation
ValueCountFrequency (%)
* 228
99.6%
, 1
 
0.4%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 684
59.0%
Common 475
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
7.2%
서 45
 
6.6%
특 45
 
6.6%
별 45
 
6.6%
시 45
 
6.6%
구 45
 
6.6%
울 45
 
6.6%
은 44
 
6.4%
평 44
 
6.4%
번 35
 
5.1%
Other values (74) 242
35.4%
Common
ValueCountFrequency (%)
* 228
48.0%
205
43.2%
- 37
 
7.8%
( 2
 
0.4%
) 2
 
0.4%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 684
59.0%
ASCII 475
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 228
48.0%
205
43.2%
- 37
 
7.8%
( 2
 
0.4%
) 2
 
0.4%
, 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 49
 
7.2%
서 45
 
6.6%
특 45
 
6.6%
별 45
 
6.6%
시 45
 
6.6%
구 45
 
6.6%
울 45
 
6.6%
은 44
 
6.4%
평 44
 
6.4%
번 35
 
5.1%
Other values (74) 242
35.4%

도로명주소
Text

MISSING 

Distinct42
Distinct (%)100.0%
Missing3
Missing (%)6.7%
Memory size492.0 B
2024-05-11T17:59:26.884852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length32.833333
Min length23

Characters and Unicode

Total characters1379
Distinct characters104
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 은평구 은평로*길 **, ***호 (녹번동)
2nd row서울특별시 은평구 연서로 ** (역촌동,외*필지(*층))
3rd row서울특별시 은평구 연서로**길 *-** (갈현동)
4th row서울특별시 은평구 은평로*길 * (응암동,(*층))
5th row서울특별시 은평구 서오릉로*길 **, ***호 (역촌동)
ValueCountFrequency (%)
43
15.4%
서울특별시 42
15.1%
은평구 41
14.7%
호 23
 
8.2%
층 11
 
3.9%
응암동 9
 
3.2%
통일로 8
 
2.9%
녹번동 6
 
2.2%
역촌동 6
 
2.2%
신사동 5
 
1.8%
Other values (60) 85
30.5%
2024-05-11T17:59:27.203854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
17.2%
* 226
16.4%
, 52
 
3.8%
서 49
 
3.6%
동 49
 
3.6%
은 48
 
3.5%
평 48
 
3.5%
( 44
 
3.2%
) 44
 
3.2%
구 42
 
3.0%
Other values (94) 540
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
55.6%
Other Punctuation 278
 
20.2%
Space Separator 237
 
17.2%
Open Punctuation 44
 
3.2%
Close Punctuation 44
 
3.2%
Dash Punctuation 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 49
 
6.4%
동 49
 
6.4%
은 48
 
6.3%
평 48
 
6.3%
구 42
 
5.5%
울 42
 
5.5%
시 42
 
5.5%
별 42
 
5.5%
특 42
 
5.5%
로 41
 
5.3%
Other values (88) 322
42.0%
Other Punctuation
ValueCountFrequency (%)
* 226
81.3%
, 52
 
18.7%
Space Separator
ValueCountFrequency (%)
237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 767
55.6%
Common 612
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 49
 
6.4%
동 49
 
6.4%
은 48
 
6.3%
평 48
 
6.3%
구 42
 
5.5%
울 42
 
5.5%
시 42
 
5.5%
별 42
 
5.5%
특 42
 
5.5%
로 41
 
5.3%
Other values (88) 322
42.0%
Common
ValueCountFrequency (%)
237
38.7%
* 226
36.9%
, 52
 
8.5%
( 44
 
7.2%
) 44
 
7.2%
- 9
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
55.6%
ASCII 612
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
38.7%
* 226
36.9%
, 52
 
8.5%
( 44
 
7.2%
) 44
 
7.2%
- 9
 
1.5%
Hangul
ValueCountFrequency (%)
서 49
 
6.4%
동 49
 
6.4%
은 48
 
6.3%
평 48
 
6.3%
구 42
 
5.5%
울 42
 
5.5%
시 42
 
5.5%
별 42
 
5.5%
특 42
 
5.5%
로 41
 
5.3%
Other values (88) 322
42.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)85.7%
Missing3
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3409.2381
Minimum3169
Maximum3504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T17:59:27.328688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3169
5-th percentile3311.05
Q13371.25
median3431
Q33457
95-th percentile3492.25
Maximum3504
Range335
Interquartile range (IQR)85.75

Descriptive statistics

Standard deviation67.57392
Coefficient of variation (CV)0.019820827
Kurtosis2.3461699
Mean3409.2381
Median Absolute Deviation (MAD)37
Skewness-1.2330207
Sum143188
Variance4566.2346
MonotonicityNot monotonic
2024-05-11T17:59:27.438445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3461 3
 
6.7%
3504 2
 
4.4%
3453 2
 
4.4%
3370 2
 
4.4%
3431 2
 
4.4%
3473 1
 
2.2%
3376 1
 
2.2%
3478 1
 
2.2%
3463 1
 
2.2%
3308 1
 
2.2%
Other values (26) 26
57.8%
(Missing) 3
 
6.7%
ValueCountFrequency (%)
3169 1
2.2%
3308 1
2.2%
3311 1
2.2%
3312 1
2.2%
3326 1
2.2%
3329 1
2.2%
3333 1
2.2%
3337 1
2.2%
3343 1
2.2%
3370 2
4.4%
ValueCountFrequency (%)
3504 2
4.4%
3493 1
 
2.2%
3478 1
 
2.2%
3475 1
 
2.2%
3473 1
 
2.2%
3463 1
 
2.2%
3461 3
6.7%
3458 1
 
2.2%
3454 1
 
2.2%
3453 2
4.4%

사업장명
Text

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T17:59:27.630074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length7.2888889
Min length2

Characters and Unicode

Total characters328
Distinct characters139
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

Unique43 ?
Unique (%)95.6%

Sample

1st row삼진토산품
2nd row고구려물산
3rd row(주)솔빛피앤에프
4th row(주)에이텍스
5th row(주)화인파낙스
ValueCountFrequency (%)
주식회사 5
 
9.6%
주)몸숨맘 2
 
3.8%
라이프케어 1
 
1.9%
주)교원프라퍼티 1
 
1.9%
원한국제무역(주 1
 
1.9%
초록연꽃 1
 
1.9%
주)에스비엘아이엔씨 1
 
1.9%
뉴코레아(nucorea 1
 
1.9%
엠에프티 1
 
1.9%
필로메디 1
 
1.9%
Other values (37) 37
71.2%
2024-05-11T17:59:27.925493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 22
 
6.7%
( 19
 
5.8%
) 19
 
5.8%
이 17
 
5.2%
스 9
 
2.7%
7
 
2.1%
바 5
 
1.5%
식 5
 
1.5%
회 5
 
1.5%
사 5
 
1.5%
Other values (129) 215
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
79.0%
Open Punctuation 19
 
5.8%
Close Punctuation 19
 
5.8%
Lowercase Letter 13
 
4.0%
Uppercase Letter 9
 
2.7%
Space Separator 7
 
2.1%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
8.5%
이 17
 
6.6%
스 9
 
3.5%
바 5
 
1.9%
식 5
 
1.9%
회 5
 
1.9%
사 5
 
1.9%
트 5
 
1.9%
아 5
 
1.9%
에 5
 
1.9%
Other values (110) 176
68.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
23.1%
a 2
15.4%
r 2
15.4%
t 2
15.4%
b 1
 
7.7%
o 1
 
7.7%
c 1
 
7.7%
u 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
L 2
22.2%
N 1
 
11.1%
K 1
 
11.1%
A 1
 
11.1%
O 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
79.0%
Common 47
 
14.3%
Latin 22
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
8.5%
이 17
 
6.6%
스 9
 
3.5%
바 5
 
1.9%
식 5
 
1.9%
회 5
 
1.9%
사 5
 
1.9%
트 5
 
1.9%
아 5
 
1.9%
에 5
 
1.9%
Other values (110) 176
68.0%
Latin
ValueCountFrequency (%)
e 3
13.6%
B 3
13.6%
a 2
9.1%
r 2
9.1%
L 2
9.1%
t 2
9.1%
b 1
 
4.5%
N 1
 
4.5%
o 1
 
4.5%
c 1
 
4.5%
Other values (4) 4
18.2%
Common
ValueCountFrequency (%)
( 19
40.4%
) 19
40.4%
7
 
14.9%
1 1
 
2.1%
2 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
79.0%
ASCII 69
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 22
 
8.5%
이 17
 
6.6%
스 9
 
3.5%
바 5
 
1.9%
식 5
 
1.9%
회 5
 
1.9%
사 5
 
1.9%
트 5
 
1.9%
아 5
 
1.9%
에 5
 
1.9%
Other values (110) 176
68.0%
ASCII
ValueCountFrequency (%)
( 19
27.5%
) 19
27.5%
7
 
10.1%
e 3
 
4.3%
B 3
 
4.3%
a 2
 
2.9%
r 2
 
2.9%
L 2
 
2.9%
t 2
 
2.9%
b 1
 
1.4%
Other values (9) 9
13.0%

최종수정일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2004-07-19 00:00:00
Maximum2024-04-29 13:32:12
2024-05-11T17:59:28.042090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:59:28.161097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
I
32 
U
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 32
71.1%
U 13
28.9%

Length

2024-05-11T17:59:28.272073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:28.361796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 32
71.1%
u 13
28.9%

데이터갱신일자
Date

Distinct24
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T17:59:28.438011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:59:28.530051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
건강기능식품유통전문판매업
45 

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 45
100.0%

Length

2024-05-11T17:59:28.633736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:28.730148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 45
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)97.7%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean192857.05
Minimum191058.01
Maximum197250.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T17:59:28.819142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191058.01
5-th percentile191354.51
Q1192239.21
median192797.98
Q3193319.58
95-th percentile194244.3
Maximum197250.88
Range6192.8738
Interquartile range (IQR)1080.3701

Descriptive statistics

Standard deviation1051.2875
Coefficient of variation (CV)0.0054511228
Kurtosis5.9944488
Mean192857.05
Median Absolute Deviation (MAD)564.06747
Skewness1.5794338
Sum8485710.3
Variance1105205.4
MonotonicityNot monotonic
2024-05-11T17:59:28.940737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
192600.451566859 2
 
4.4%
193012.74184301 1
 
2.2%
194046.732973033 1
 
2.2%
193387.674297301 1
 
2.2%
192318.383820956 1
 
2.2%
192223.340198588 1
 
2.2%
193686.849183516 1
 
2.2%
193843.259267558 1
 
2.2%
192551.429178887 1
 
2.2%
193173.204283529 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
191058.008397579 1
2.2%
191192.051375093 1
2.2%
191340.222020985 1
2.2%
191435.45776138 1
2.2%
191727.078396933 1
2.2%
191921.545753224 1
2.2%
191988.537777913 1
2.2%
192009.459787691 1
2.2%
192009.543853115 1
2.2%
192040.409118154 1
2.2%
ValueCountFrequency (%)
197250.882230561 1
2.2%
194325.245141684 1
2.2%
194260.483039208 1
2.2%
194152.62309059 1
2.2%
194046.732973033 1
2.2%
193843.259267558 1
2.2%
193697.548096273 1
2.2%
193686.849183516 1
2.2%
193547.680584007 1
2.2%
193522.113605 1
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)97.7%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean455652.18
Minimum452571.42
Maximum458887.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T17:59:29.080474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452571.42
5-th percentile452968.92
Q1455166.37
median455533.29
Q3456073.96
95-th percentile458255.03
Maximum458887.33
Range6315.9075
Interquartile range (IQR)907.59664

Descriptive statistics

Standard deviation1415.2388
Coefficient of variation (CV)0.0031059629
Kurtosis0.67801527
Mean455652.18
Median Absolute Deviation (MAD)512.52127
Skewness0.1426051
Sum20048696
Variance2002900.8
MonotonicityNot monotonic
2024-05-11T17:59:29.196239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
455197.91922534 2
 
4.4%
455563.866625848 1
 
2.2%
456082.750373699 1
 
2.2%
456897.797961872 1
 
2.2%
454552.507165347 1
 
2.2%
455836.718397097 1
 
2.2%
456204.060589682 1
 
2.2%
456071.03650952 1
 
2.2%
453786.592825704 1
 
2.2%
454966.103988186 1
 
2.2%
Other values (33) 33
73.3%
ValueCountFrequency (%)
452571.418559122 1
2.2%
452890.003005512 1
2.2%
452946.246733537 1
2.2%
453097.43004593 1
2.2%
453786.592825704 1
2.2%
454215.329144056 1
2.2%
454552.507165347 1
2.2%
454933.124022008 1
2.2%
454966.103988186 1
2.2%
455030.489633592 1
2.2%
ValueCountFrequency (%)
458887.326027 1
2.2%
458840.730376417 1
2.2%
458311.150204805 1
2.2%
457936.994776678 1
2.2%
457658.579668108 1
2.2%
457239.639548155 1
2.2%
457215.2921693 1
2.2%
456897.797961872 1
2.2%
456437.101098654 1
2.2%
456204.060589682 1
2.2%

위생업태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
건강기능식품유통전문판매업
35 
<NA>
10 

Length

Max length13
Median length13
Mean length11
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 35
77.8%
<NA> 10
 
22.2%

Length

2024-05-11T17:59:29.332369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:29.671627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 35
77.8%
na 10
 
22.2%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
42 
0
 
3

Length

Max length4
Median length4
Mean length3.8
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> 42
93.3%
0 3
 
6.7%

Length

2024-05-11T17:59:29.765272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:29.847418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
93.3%
0 3
 
6.7%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
42 
0
 
3

Length

Max length4
Median length4
Mean length3.8
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> 42
93.3%
0 3
 
6.7%

Length

2024-05-11T17:59:29.935617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:30.034493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
93.3%
0 3
 
6.7%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

급수시설구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing43
Missing (%)95.6%
Memory size492.0 B
2024-05-11T17:59:30.128554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
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

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
ValueCountFrequency (%)
상수도전용 2
100.0%
2024-05-11T17:59:30.352919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
수 2
20.0%
도 2
20.0%
전 2
20.0%
용 2
20.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
42 
0
 
3

Length

Max length4
Median length4
Mean length3.8
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> 42
93.3%
0 3
 
6.7%

Length

2024-05-11T17:59:30.465136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:30.558285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
93.3%
0 3
 
6.7%

본사종업원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
0
15 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
0 15
33.3%

Length

2024-05-11T17:59:30.653855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:30.751946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
0 15
33.3%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
0
15 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
0 15
33.3%

Length

2024-05-11T17:59:30.873749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:30.963111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
0 15
33.3%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
0
15 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
0 15
33.3%

Length

2024-05-11T17:59:31.054351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:31.140278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
0 15
33.3%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
0
15 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
0 15
33.3%

Length

2024-05-11T17:59:31.237733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:31.330892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
0 15
33.3%

건물소유구분명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
27 
임대
9 
자가
9 

Length

Max length4
Median length4
Mean length3.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
60.0%
임대 9
 
20.0%
자가 9
 
20.0%

Length

2024-05-11T17:59:31.435085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:31.539980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
60.0%
임대 9
 
20.0%
자가 9
 
20.0%

보증액
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
40 
0
5 

Length

Max length4
Median length4
Mean length3.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
88.9%
0 5
 
11.1%

Length

2024-05-11T17:59:31.648310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:31.740390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
88.9%
0 5
 
11.1%

월세액
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
40 
0
5 

Length

Max length4
Median length4
Mean length3.6666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
88.9%
0 5
 
11.1%

Length

2024-05-11T17:59:31.862239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:31.969009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
88.9%
0 5
 
11.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.9%
Missing10
Missing (%)22.2%
Memory size222.0 B
False
35 
(Missing)
10 
ValueCountFrequency (%)
False 35
77.8%
(Missing) 10
 
22.2%
2024-05-11T17:59:32.051214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
0
34 
<NA>
10 
33
 
1

Length

Max length4
Median length1
Mean length1.6888889
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
75.6%
<NA> 10
 
22.2%
33 1
 
2.2%

Length

2024-05-11T17:59:32.148442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:59:32.244681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
75.6%
na 10
 
22.2%
33 1
 
2.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-135-2004-0000120040615<NA>3폐업2폐업20141014<NA><NA><NA>0203532678<NA>122834서울특별시 은평구 녹번동 ***-**번지 ***호서울특별시 은평구 은평로*길 **, ***호 (녹번동)3458삼진토산품2012-01-17 16:31:49I2018-08-31 23:59:59.0건강기능식품유통전문판매업193012.741843455563.866626건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
131100003110000-135-2004-0000220040719<NA>3폐업2폐업20100806<NA><NA><NA>0203567839<NA>122896서울특별시 은평구 역촌동 **-*번지<NA><NA>고구려물산2004-07-19 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업193083.765686455978.010582건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0<NA><NA><NA>
231100003110000-135-2005-0000120050707<NA>3폐업2폐업20181102<NA><NA><NA>02 3898686196.11122900서울특별시 은평구 역촌동 **-**번지 외*필지(*층)서울특별시 은평구 연서로 ** (역촌동,외*필지(*층))3417(주)솔빛피앤에프2018-11-02 14:02:36U2018-11-04 02:35:52.0건강기능식품유통전문판매업192437.603563455839.900251건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000자가00N0<NA><NA><NA>
331100003110000-135-2005-0000220050818<NA>3폐업2폐업20150130<NA><NA><NA>02 357618394.89122959서울특별시 은평구 갈현동 ***-**번지서울특별시 은평구 연서로**길 *-** (갈현동)3333(주)에이텍스2012-11-01 17:48:20I2018-08-31 23:59:59.0건강기능식품유통전문판매업192707.870929457215.292169건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대<NA><NA>N0<NA><NA><NA>
431100003110000-135-2005-0000320051028<NA>3폐업2폐업20170616<NA><NA><NA>02 3834222<NA>122907서울특별시 은평구 응암동 **-**번지 (*층)서울특별시 은평구 은평로*길 * (응암동,(*층))3461(주)화인파낙스2017-06-16 10:12:15I2018-08-31 23:59:59.0건강기능식품유통전문판매업193000.057327455395.450534건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0<NA><NA><NA>
531100003110000-135-2007-0000120070601<NA>3폐업2폐업20170406<NA><NA><NA>02 579934733.2122896서울특별시 은평구 역촌동 **-**번지 ***호서울특별시 은평구 서오릉로*길 **, ***호 (역촌동)340421세기팜아카데미2017-04-06 16:36:26I2018-08-31 23:59:59.0건강기능식품유통전문판매업192976.621128456039.271404건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA>0000임대00N0<NA><NA><NA>
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