Overview

Dataset statistics

Number of variables44
Number of observations139
Missing cells1652
Missing cells (%)27.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.6 KiB
Average record size in memory379.9 B

Variable types

Categorical19
Text6
DateTime4
Unsupported10
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-18052/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (50.6%)Imbalance
여성종사자수 is highly imbalanced (50.6%)Imbalance
총인원 is highly imbalanced (50.6%)Imbalance
공장사무직종업원수 is highly imbalanced (61.1%)Imbalance
보증액 is highly imbalanced (50.6%)Imbalance
월세액 is highly imbalanced (50.6%)Imbalance
시설총규모 is highly imbalanced (53.5%)Imbalance
인허가취소일자 has 139 (100.0%) missing valuesMissing
폐업일자 has 57 (41.0%) missing valuesMissing
휴업시작일자 has 139 (100.0%) missing valuesMissing
휴업종료일자 has 139 (100.0%) missing valuesMissing
재개업일자 has 139 (100.0%) missing valuesMissing
전화번호 has 44 (31.7%) missing valuesMissing
소재지면적 has 70 (50.4%) missing valuesMissing
도로명주소 has 20 (14.4%) missing valuesMissing
도로명우편번호 has 20 (14.4%) missing valuesMissing
좌표정보(X) has 2 (1.4%) missing valuesMissing
좌표정보(Y) has 2 (1.4%) missing valuesMissing
영업장주변구분명 has 139 (100.0%) missing valuesMissing
등급구분명 has 139 (100.0%) missing valuesMissing
급수시설구분명 has 139 (100.0%) missing valuesMissing
다중이용업소여부 has 45 (32.4%) missing valuesMissing
전통업소지정번호 has 139 (100.0%) missing valuesMissing
전통업소주된음식 has 139 (100.0%) missing valuesMissing
홈페이지 has 139 (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
급수시설구분명 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 18 (12.9%) zerosZeros

Reproduction

Analysis started2024-05-11 08:04:46.174030
Analysis finished2024-05-11 08:04:46.992200
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3000000
139 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 139
100.0%

Length

2024-05-11T17:04:47.063333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:47.174761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 139
100.0%

관리번호
Text

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T17:04:47.368727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters3058
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

Unique139 ?
Unique (%)100.0%

Sample

1st row3000000-135-2004-00001
2nd row3000000-135-2004-00002
3rd row3000000-135-2004-00003
4th row3000000-135-2004-00004
5th row3000000-135-2004-00005
ValueCountFrequency (%)
3000000-135-2004-00001 1
 
0.7%
3000000-135-2020-00007 1
 
0.7%
3000000-135-2020-00005 1
 
0.7%
3000000-135-2020-00004 1
 
0.7%
3000000-135-2020-00003 1
 
0.7%
3000000-135-2020-00002 1
 
0.7%
3000000-135-2020-00001 1
 
0.7%
3000000-135-2019-00007 1
 
0.7%
3000000-135-2019-00006 1
 
0.7%
3000000-135-2016-00003 1
 
0.7%
Other values (129) 129
92.8%
2024-05-11T17:04:47.765374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1580
51.7%
- 417
 
13.6%
3 308
 
10.1%
1 242
 
7.9%
2 220
 
7.2%
5 170
 
5.6%
4 39
 
1.3%
6 25
 
0.8%
7 21
 
0.7%
8 20
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2641
86.4%
Dash Punctuation 417
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1580
59.8%
3 308
 
11.7%
1 242
 
9.2%
2 220
 
8.3%
5 170
 
6.4%
4 39
 
1.5%
6 25
 
0.9%
7 21
 
0.8%
8 20
 
0.8%
9 16
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 417
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3058
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1580
51.7%
- 417
 
13.6%
3 308
 
10.1%
1 242
 
7.9%
2 220
 
7.2%
5 170
 
5.6%
4 39
 
1.3%
6 25
 
0.8%
7 21
 
0.7%
8 20
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3058
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1580
51.7%
- 417
 
13.6%
3 308
 
10.1%
1 242
 
7.9%
2 220
 
7.2%
5 170
 
5.6%
4 39
 
1.3%
6 25
 
0.8%
7 21
 
0.7%
8 20
 
0.7%

인허가일자
Date

Distinct134
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2004-02-26 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T17:04:47.950330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:48.142535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
82 
1
57 

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 82
59.0%
1 57
41.0%

Length

2024-05-11T17:04:48.308446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:48.438203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 82
59.0%
1 57
41.0%

영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
82 
영업/정상
57 

Length

Max length5
Median length2
Mean length3.2302158
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 82
59.0%
영업/정상 57
41.0%

Length

2024-05-11T17:04:48.568026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:48.691609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 82
59.0%
영업/정상 57
41.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2
82 
1
57 

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 82
59.0%
1 57
41.0%

Length

2024-05-11T17:04:48.812205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:48.948330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 82
59.0%
1 57
41.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
82 
영업
57 

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 82
59.0%
영업 57
41.0%

Length

2024-05-11T17:04:49.069162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:49.194343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 82
59.0%
영업 57
41.0%

폐업일자
Date

MISSING 

Distinct81
Distinct (%)98.8%
Missing57
Missing (%)41.0%
Memory size1.2 KiB
Minimum2005-01-19 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T17:04:49.322756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:49.494838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

전화번호
Text

MISSING 

Distinct91
Distinct (%)95.8%
Missing44
Missing (%)31.7%
Memory size1.2 KiB
2024-05-11T17:04:49.848658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.042105
Min length7

Characters and Unicode

Total characters1049
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

Unique87 ?
Unique (%)91.6%

Sample

1st row02 7350153
2nd row02 7338925
3rd row02 7243223
4th row02 7088256
5th row02 7380880
ValueCountFrequency (%)
02 68
33.8%
070 7
 
3.5%
394 3
 
1.5%
733 3
 
1.5%
37731114 2
 
1.0%
7727 2
 
1.0%
4545 2
 
1.0%
723 2
 
1.0%
720 2
 
1.0%
582 2
 
1.0%
Other values (105) 108
53.7%
2024-05-11T17:04:50.358243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 176
16.8%
155
14.8%
2 149
14.2%
7 116
11.1%
3 87
8.3%
1 73
7.0%
5 72
6.9%
4 70
 
6.7%
6 59
 
5.6%
9 48
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 894
85.2%
Space Separator 155
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
19.7%
2 149
16.7%
7 116
13.0%
3 87
9.7%
1 73
8.2%
5 72
8.1%
4 70
 
7.8%
6 59
 
6.6%
9 48
 
5.4%
8 44
 
4.9%
Space Separator
ValueCountFrequency (%)
155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1049
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 176
16.8%
155
14.8%
2 149
14.2%
7 116
11.1%
3 87
8.3%
1 73
7.0%
5 72
6.9%
4 70
 
6.7%
6 59
 
5.6%
9 48
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1049
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 176
16.8%
155
14.8%
2 149
14.2%
7 116
11.1%
3 87
8.3%
1 73
7.0%
5 72
6.9%
4 70
 
6.7%
6 59
 
5.6%
9 48
 
4.6%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)63.8%
Missing70
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean70.611449
Minimum0
Maximum1209.25
Zeros18
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:04:50.521290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25.68
Q360
95-th percentile284.712
Maximum1209.25
Range1209.25
Interquartile range (IQR)60

Descriptive statistics

Standard deviation165.06797
Coefficient of variation (CV)2.3376941
Kurtosis34.123127
Mean70.611449
Median Absolute Deviation (MAD)25.68
Skewness5.3370281
Sum4872.19
Variance27247.435
MonotonicityNot monotonic
2024-05-11T17:04:50.666217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0 18
 
12.9%
3.3 4
 
2.9%
30.0 3
 
2.2%
15.0 2
 
1.4%
60.0 2
 
1.4%
10.0 2
 
1.4%
29.44 1
 
0.7%
19.0 1
 
0.7%
25.68 1
 
0.7%
57.4 1
 
0.7%
Other values (34) 34
24.5%
(Missing) 70
50.4%
ValueCountFrequency (%)
0.0 18
12.9%
3.3 4
 
2.9%
8.0 1
 
0.7%
10.0 2
 
1.4%
15.0 2
 
1.4%
16.5 1
 
0.7%
18.64 1
 
0.7%
19.0 1
 
0.7%
20.0 1
 
0.7%
23.0 1
 
0.7%
ValueCountFrequency (%)
1209.25 1
0.7%
478.27 1
0.7%
373.55 1
0.7%
296.52 1
0.7%
267.0 1
0.7%
200.0 1
0.7%
170.0 1
0.7%
150.0 1
0.7%
145.46 1
0.7%
134.6 1
0.7%

소재지우편번호
Text

Distinct82
Distinct (%)59.4%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-05-11T17:04:50.969704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1666667
Min length6

Characters and Unicode

Total characters851
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

Unique51 ?
Unique (%)37.0%

Sample

1st row110140
2nd row110044
3rd row110110
4th row110750
5th row110130
ValueCountFrequency (%)
110040 6
 
4.3%
110835 6
 
4.3%
110110 5
 
3.6%
110062 5
 
3.6%
110410 5
 
3.6%
110470 5
 
3.6%
110460 4
 
2.9%
110-062 3
 
2.2%
110826 3
 
2.2%
110320 3
 
2.2%
Other values (72) 93
67.4%
2024-05-11T17:04:51.407599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 328
38.5%
0 235
27.6%
8 48
 
5.6%
2 41
 
4.8%
4 40
 
4.7%
3 32
 
3.8%
5 32
 
3.8%
6 32
 
3.8%
7 26
 
3.1%
- 23
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 828
97.3%
Dash Punctuation 23
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 328
39.6%
0 235
28.4%
8 48
 
5.8%
2 41
 
5.0%
4 40
 
4.8%
3 32
 
3.9%
5 32
 
3.9%
6 32
 
3.9%
7 26
 
3.1%
9 14
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 851
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 328
38.5%
0 235
27.6%
8 48
 
5.6%
2 41
 
4.8%
4 40
 
4.7%
3 32
 
3.8%
5 32
 
3.8%
6 32
 
3.8%
7 26
 
3.1%
- 23
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 851
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 328
38.5%
0 235
27.6%
8 48
 
5.6%
2 41
 
4.8%
4 40
 
4.7%
3 32
 
3.8%
5 32
 
3.8%
6 32
 
3.8%
7 26
 
3.1%
- 23
 
2.7%

지번주소
Text

Distinct134
Distinct (%)97.1%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-05-11T17:04:51.721810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length33
Mean length26.23913
Min length16

Characters and Unicode

Total characters3621
Distinct characters189
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

Unique130 ?
Unique (%)94.2%

Sample

1st row서울특별시 종로구 수송동 **-*번지 석탄회관*층
2nd row서울특별시 종로구 필운동 **번지 외**필지배화여대창업보육센터****호
3rd row서울특별시 종로구 서린동 **번지
4th row서울특별시 종로구 원남동 **-** 보령빌딩*층
5th row서울특별시 종로구 청진동 ***-*번지 청진빌딩***호
ValueCountFrequency (%)
서울특별시 138
19.5%
종로구 137
19.4%
72
 
10.2%
번지 64
 
9.0%
층 28
 
4.0%
호 25
 
3.5%
종로*가 17
 
2.4%
신문로*가 12
 
1.7%
숭인동 11
 
1.6%
인의동 7
 
1.0%
Other values (128) 197
27.8%
2024-05-11T17:04:52.175234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
649
17.9%
* 643
17.8%
로 175
 
4.8%
종 162
 
4.5%
서 148
 
4.1%
시 144
 
4.0%
구 139
 
3.8%
울 138
 
3.8%
특 138
 
3.8%
별 138
 
3.8%
Other values (179) 1147
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2225
61.4%
Space Separator 649
 
17.9%
Other Punctuation 649
 
17.9%
Dash Punctuation 74
 
2.0%
Uppercase Letter 9
 
0.2%
Decimal Number 7
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 175
 
7.9%
종 162
 
7.3%
서 148
 
6.7%
시 144
 
6.5%
구 139
 
6.2%
울 138
 
6.2%
특 138
 
6.2%
별 138
 
6.2%
동 119
 
5.3%
지 80
 
3.6%
Other values (158) 844
37.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
S 1
11.1%
K 1
11.1%
U 1
11.1%
D 1
11.1%
A 1
11.1%
C 1
11.1%
Y 1
11.1%
Decimal Number
ValueCountFrequency (%)
5 2
28.6%
3 1
14.3%
0 1
14.3%
8 1
14.3%
1 1
14.3%
2 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 643
99.1%
, 6
 
0.9%
Space Separator
ValueCountFrequency (%)
649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2225
61.4%
Common 1387
38.3%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 175
 
7.9%
종 162
 
7.3%
서 148
 
6.7%
시 144
 
6.5%
구 139
 
6.2%
울 138
 
6.2%
특 138
 
6.2%
별 138
 
6.2%
동 119
 
5.3%
지 80
 
3.6%
Other values (158) 844
37.9%
Common
ValueCountFrequency (%)
649
46.8%
* 643
46.4%
- 74
 
5.3%
, 6
 
0.4%
( 3
 
0.2%
) 3
 
0.2%
5 2
 
0.1%
~ 2
 
0.1%
3 1
 
0.1%
0 1
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
B 2
22.2%
S 1
11.1%
K 1
11.1%
U 1
11.1%
D 1
11.1%
A 1
11.1%
C 1
11.1%
Y 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2225
61.4%
ASCII 1396
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
649
46.5%
* 643
46.1%
- 74
 
5.3%
, 6
 
0.4%
( 3
 
0.2%
) 3
 
0.2%
B 2
 
0.1%
5 2
 
0.1%
~ 2
 
0.1%
S 1
 
0.1%
Other values (11) 11
 
0.8%
Hangul
ValueCountFrequency (%)
로 175
 
7.9%
종 162
 
7.3%
서 148
 
6.7%
시 144
 
6.5%
구 139
 
6.2%
울 138
 
6.2%
특 138
 
6.2%
별 138
 
6.2%
동 119
 
5.3%
지 80
 
3.6%
Other values (158) 844
37.9%

도로명주소
Text

MISSING 

Distinct113
Distinct (%)95.0%
Missing20
Missing (%)14.4%
Memory size1.2 KiB
2024-05-11T17:04:52.474283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length34.243697
Min length23

Characters and Unicode

Total characters4075
Distinct characters201
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

Unique108 ?
Unique (%)90.8%

Sample

1st row서울특별시 종로구 청계천로 **, **층 (서린동)
2nd row서울특별시 종로구 창경궁로 *** (원남동,보령빌딩*층)
3rd row서울특별시 종로구 대학로 ** (연건동,임호빌딩*층)
4th row서울특별시 종로구 창경궁로 ***, 보령빌딩 **층 (원남동)
5th row서울특별시 종로구 종로 *** (종로*가,한일빌딩***호)
ValueCountFrequency (%)
서울특별시 119
14.9%
종로구 118
14.8%
117
14.6%
층 70
 
8.8%
호 42
 
5.2%
종로 18
 
2.2%
새문안로 10
 
1.2%
종로*가 10
 
1.2%
신문로*가 9
 
1.1%
창경궁로 8
 
1.0%
Other values (176) 279
34.9%
2024-05-11T17:04:52.960593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
681
16.7%
* 629
 
15.4%
로 263
 
6.5%
종 166
 
4.1%
, 138
 
3.4%
서 127
 
3.1%
시 125
 
3.1%
( 121
 
3.0%
) 121
 
3.0%
구 121
 
3.0%
Other values (191) 1583
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2340
57.4%
Other Punctuation 767
 
18.8%
Space Separator 681
 
16.7%
Open Punctuation 121
 
3.0%
Close Punctuation 121
 
3.0%
Dash Punctuation 19
 
0.5%
Decimal Number 12
 
0.3%
Uppercase Letter 12
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 263
 
11.2%
종 166
 
7.1%
서 127
 
5.4%
시 125
 
5.3%
구 121
 
5.2%
특 119
 
5.1%
울 119
 
5.1%
별 119
 
5.1%
동 110
 
4.7%
층 83
 
3.5%
Other values (169) 988
42.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
B 2
16.7%
U 1
 
8.3%
D 1
 
8.3%
V 1
 
8.3%
L 1
 
8.3%
G 1
 
8.3%
Y 1
 
8.3%
C 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
3 3
25.0%
8 1
 
8.3%
0 1
 
8.3%
2 1
 
8.3%
6 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 629
82.0%
, 138
 
18.0%
Space Separator
ValueCountFrequency (%)
681
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2340
57.4%
Common 1723
42.3%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 263
 
11.2%
종 166
 
7.1%
서 127
 
5.4%
시 125
 
5.3%
구 121
 
5.2%
특 119
 
5.1%
울 119
 
5.1%
별 119
 
5.1%
동 110
 
4.7%
층 83
 
3.5%
Other values (169) 988
42.2%
Common
ValueCountFrequency (%)
681
39.5%
* 629
36.5%
, 138
 
8.0%
( 121
 
7.0%
) 121
 
7.0%
- 19
 
1.1%
1 5
 
0.3%
3 3
 
0.2%
~ 2
 
0.1%
8 1
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
A 3
25.0%
B 2
16.7%
U 1
 
8.3%
D 1
 
8.3%
V 1
 
8.3%
L 1
 
8.3%
G 1
 
8.3%
Y 1
 
8.3%
C 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2340
57.4%
ASCII 1735
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
681
39.3%
* 629
36.3%
, 138
 
8.0%
( 121
 
7.0%
) 121
 
7.0%
- 19
 
1.1%
1 5
 
0.3%
A 3
 
0.2%
3 3
 
0.2%
B 2
 
0.1%
Other values (12) 13
 
0.7%
Hangul
ValueCountFrequency (%)
로 263
 
11.2%
종 166
 
7.1%
서 127
 
5.4%
시 125
 
5.3%
구 121
 
5.2%
특 119
 
5.1%
울 119
 
5.1%
별 119
 
5.1%
동 110
 
4.7%
층 83
 
3.5%
Other values (169) 988
42.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)49.6%
Missing20
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean3153.9748
Minimum3006
Maximum6670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:04:53.122314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3006
5-th percentile3036.1
Q13112.5
median3130
Q33170
95-th percentile3187.1
Maximum6670
Range3664
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation328.84465
Coefficient of variation (CV)0.10426356
Kurtosis113.45829
Mean3153.9748
Median Absolute Deviation (MAD)36
Skewness10.526211
Sum375323
Variance108138.8
MonotonicityNot monotonic
2024-05-11T17:04:53.296281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3130 8
 
5.8%
3129 8
 
5.8%
3044 7
 
5.0%
3184 6
 
4.3%
3127 4
 
2.9%
3139 4
 
2.9%
3115 4
 
2.9%
3186 3
 
2.2%
3187 3
 
2.2%
3173 3
 
2.2%
Other values (49) 69
49.6%
(Missing) 20
 
14.4%
ValueCountFrequency (%)
3006 1
 
0.7%
3007 2
 
1.4%
3020 2
 
1.4%
3028 1
 
0.7%
3037 1
 
0.7%
3038 1
 
0.7%
3042 1
 
0.7%
3044 7
5.0%
3046 1
 
0.7%
3049 1
 
0.7%
ValueCountFrequency (%)
6670 1
 
0.7%
3194 1
 
0.7%
3189 2
 
1.4%
3188 2
 
1.4%
3187 3
2.2%
3186 3
2.2%
3184 6
4.3%
3182 3
2.2%
3181 1
 
0.7%
3175 2
 
1.4%

사업장명
Text

Distinct137
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T17:04:53.519644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length8.705036
Min length2

Characters and Unicode

Total characters1210
Distinct characters257
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)97.1%

Sample

1st row키토일오삼(주)
2nd row주식회사선농단
3rd row주식회사 한국화장품제조
4th row주식회사보령
5th row비너스바이오
ValueCountFrequency (%)
주식회사 29
 
16.0%
주)브이엘에프 2
 
1.1%
대상(주 2
 
1.1%
주)엘지생활건강 2
 
1.1%
피에이치권 1
 
0.6%
사회적협동조합 1
 
0.6%
주)벨라씨앤씨 1
 
0.6%
주)일양생활건강 1
 
0.6%
아이야유니온 1
 
0.6%
오투넷 1
 
0.6%
Other values (140) 140
77.3%
2024-05-11T17:04:53.846558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 106
 
8.8%
( 80
 
6.6%
) 80
 
6.6%
이 55
 
4.5%
42
 
3.5%
사 40
 
3.3%
식 38
 
3.1%
회 37
 
3.1%
스 26
 
2.1%
리 24
 
2.0%
Other values (247) 682
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 945
78.1%
Open Punctuation 80
 
6.6%
Close Punctuation 80
 
6.6%
Uppercase Letter 50
 
4.1%
Space Separator 42
 
3.5%
Lowercase Letter 8
 
0.7%
Other Punctuation 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 106
 
11.2%
이 55
 
5.8%
사 40
 
4.2%
식 38
 
4.0%
회 37
 
3.9%
스 26
 
2.8%
리 24
 
2.5%
오 21
 
2.2%
에 18
 
1.9%
아 16
 
1.7%
Other values (214) 564
59.7%
Uppercase Letter
ValueCountFrequency (%)
A 5
 
10.0%
I 5
 
10.0%
S 4
 
8.0%
L 4
 
8.0%
O 4
 
8.0%
N 3
 
6.0%
R 3
 
6.0%
M 3
 
6.0%
E 3
 
6.0%
T 3
 
6.0%
Other values (8) 13
26.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
a 1
12.5%
e 1
12.5%
r 1
12.5%
k 1
12.5%
s 1
12.5%
y 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1
25.0%
＆ 1
25.0%
. 1
25.0%
& 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 945
78.1%
Common 207
 
17.1%
Latin 58
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 106
 
11.2%
이 55
 
5.8%
사 40
 
4.2%
식 38
 
4.0%
회 37
 
3.9%
스 26
 
2.8%
리 24
 
2.5%
오 21
 
2.2%
에 18
 
1.9%
아 16
 
1.7%
Other values (214) 564
59.7%
Latin
ValueCountFrequency (%)
A 5
 
8.6%
I 5
 
8.6%
S 4
 
6.9%
L 4
 
6.9%
O 4
 
6.9%
N 3
 
5.2%
R 3
 
5.2%
M 3
 
5.2%
E 3
 
5.2%
T 3
 
5.2%
Other values (15) 21
36.2%
Common
ValueCountFrequency (%)
( 80
38.6%
) 80
38.6%
42
20.3%
, 1
 
0.5%
＆ 1
 
0.5%
- 1
 
0.5%
. 1
 
0.5%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 945
78.1%
ASCII 264
 
21.8%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 106
 
11.2%
이 55
 
5.8%
사 40
 
4.2%
식 38
 
4.0%
회 37
 
3.9%
스 26
 
2.8%
리 24
 
2.5%
오 21
 
2.2%
에 18
 
1.9%
아 16
 
1.7%
Other values (214) 564
59.7%
ASCII
ValueCountFrequency (%)
( 80
30.3%
) 80
30.3%
42
15.9%
A 5
 
1.9%
I 5
 
1.9%
S 4
 
1.5%
L 4
 
1.5%
O 4
 
1.5%
N 3
 
1.1%
R 3
 
1.1%
Other values (22) 34
12.9%
None
ValueCountFrequency (%)
＆ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2004-04-06 00:00:00
Maximum2024-05-08 14:30:39
2024-05-11T17:04:53.984600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:54.152478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
77 
U
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 77
55.4%
U 62
44.6%

Length

2024-05-11T17:04:54.284202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:54.658959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 77
55.4%
u 62
44.6%

데이터갱신일자
Date

Distinct85
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:01:00
2024-05-11T17:04:54.768665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:54.911363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
건강기능식품유통전문판매업
139 

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 139
100.0%

Length

2024-05-11T17:04:55.051154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:55.149910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 139
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)75.9%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean198897.39
Minimum196326.38
Maximum201960.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:04:55.259875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196326.38
5-th percentile197009.35
Q1197611.69
median198690.66
Q3199971.13
95-th percentile201519.54
Maximum201960.95
Range5634.5737
Interquartile range (IQR)2359.4453

Descriptive statistics

Standard deviation1420.3926
Coefficient of variation (CV)0.0071413336
Kurtosis-0.83355399
Mean198897.39
Median Absolute Deviation (MAD)1181.7553
Skewness0.32114784
Sum27248943
Variance2017515.2
MonotonicityNot monotonic
2024-05-11T17:04:55.404005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197413.260397461 5
 
3.6%
199982.481574081 4
 
2.9%
199785.078777879 4
 
2.9%
199749.709303956 3
 
2.2%
197611.685577 3
 
2.2%
197995.218793409 3
 
2.2%
198324.653631679 3
 
2.2%
197487.974635557 3
 
2.2%
198150.300374121 3
 
2.2%
200005.151674986 2
 
1.4%
Other values (94) 104
74.8%
ValueCountFrequency (%)
196326.377591867 1
0.7%
196470.449471829 1
0.7%
196554.899209998 1
0.7%
196668.877563099 1
0.7%
196748.464828515 1
0.7%
196833.237110427 1
0.7%
197002.668255774 1
0.7%
197011.024973203 1
0.7%
197018.869799699 1
0.7%
197094.551652537 1
0.7%
ValueCountFrequency (%)
201960.951300031 1
0.7%
201960.304346071 1
0.7%
201850.462764525 1
0.7%
201774.358976512 1
0.7%
201744.684500585 2
1.4%
201670.858168111 1
0.7%
201481.714845529 1
0.7%
201359.53353905 2
1.4%
201350.473375538 1
0.7%
201282.378349367 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)75.9%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean452524.98
Minimum442652.98
Maximum456677.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-05-11T17:04:55.541240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442652.98
5-th percentile451894.53
Q1452096.33
median452314.75
Q3452677.98
95-th percentile454363.53
Maximum456677.53
Range14024.553
Interquartile range (IQR)581.64883

Descriptive statistics

Standard deviation1229.2166
Coefficient of variation (CV)0.0027163508
Kurtosis31.984028
Mean452524.98
Median Absolute Deviation (MAD)256.67104
Skewness-2.7955168
Sum61995922
Variance1510973.4
MonotonicityNot monotonic
2024-05-11T17:04:55.693676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451896.027279239 5
 
3.6%
452096.334234382 4
 
2.9%
452316.31850293 4
 
2.9%
452471.681673191 3
 
2.2%
453191.79099 3
 
2.2%
451945.047247204 3
 
2.2%
452252.812389497 3
 
2.2%
452991.418902843 3
 
2.2%
452019.212642931 3
 
2.2%
452738.933730685 2
 
1.4%
Other values (94) 104
74.8%
ValueCountFrequency (%)
442652.977637711 1
 
0.7%
451683.728773742 1
 
0.7%
451820.889548579 1
 
0.7%
451835.863444917 1
 
0.7%
451836.488124374 1
 
0.7%
451860.352943313 1
 
0.7%
451888.555001545 1
 
0.7%
451896.027279239 5
3.6%
451901.406014861 2
 
1.4%
451914.150317846 1
 
0.7%
ValueCountFrequency (%)
456677.530404469 1
0.7%
456090.975136222 1
0.7%
456082.500270084 1
0.7%
455970.888515918 1
0.7%
455159.209918255 1
0.7%
455055.264019484 1
0.7%
454791.837763203 1
0.7%
454256.447563129 1
0.7%
454192.550869229 1
0.7%
454042.769188214 1
0.7%

위생업태명
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
건강기능식품유통전문판매업
94 
<NA>
45 

Length

Max length13
Median length13
Mean length10.086331
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 94
67.6%
<NA> 45
32.4%

Length

2024-05-11T17:04:55.827266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:55.939949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 94
67.6%
na 45
32.4%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
124 
0
15 

Length

Max length4
Median length4
Mean length3.676259
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> 124
89.2%
0 15
 
10.8%

Length

2024-05-11T17:04:56.069427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:56.210923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
89.2%
0 15
 
10.8%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
124 
0
15 

Length

Max length4
Median length4
Mean length3.676259
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> 124
89.2%
0 15
 
10.8%

Length

2024-05-11T17:04:56.338557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:56.460662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
89.2%
0 15
 
10.8%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

급수시설구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
124 
0
15 

Length

Max length4
Median length4
Mean length3.676259
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> 124
89.2%
0 15
 
10.8%

Length

2024-05-11T17:04:56.579817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:56.693104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
89.2%
0 15
 
10.8%

본사종업원수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
121 
0
18 

Length

Max length4
Median length4
Mean length3.6115108
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> 121
87.1%
0 18
 
12.9%

Length

2024-05-11T17:04:56.861720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:56.980893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
87.1%
0 18
 
12.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
120 
0
18 
1
 
1

Length

Max length4
Median length4
Mean length3.5899281
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 120
86.3%
0 18
 
12.9%
1 1
 
0.7%

Length

2024-05-11T17:04:57.100157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:57.236598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 120
86.3%
0 18
 
12.9%
1 1
 
0.7%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
121 
0
18 

Length

Max length4
Median length4
Mean length3.6115108
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> 121
87.1%
0 18
 
12.9%

Length

2024-05-11T17:04:57.364420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:57.476884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
87.1%
0 18
 
12.9%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
121 
0
18 

Length

Max length4
Median length4
Mean length3.6115108
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> 121
87.1%
0 18
 
12.9%

Length

2024-05-11T17:04:57.617491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:57.751780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 121
87.1%
0 18
 
12.9%

건물소유구분명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
87 
임대
30 
자가
22 

Length

Max length4
Median length4
Mean length3.2517986
Min length2

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> 87
62.6%
임대 30
 
21.6%
자가 22
 
15.8%

Length

2024-05-11T17:04:57.889709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:58.032449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
62.6%
임대 30
 
21.6%
자가 22
 
15.8%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
124 
0
15 

Length

Max length4
Median length4
Mean length3.676259
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> 124
89.2%
0 15
 
10.8%

Length

2024-05-11T17:04:58.174717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:58.307707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
89.2%
0 15
 
10.8%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
124 
0
15 

Length

Max length4
Median length4
Mean length3.676259
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> 124
89.2%
0 15
 
10.8%

Length

2024-05-11T17:04:58.444605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:58.564535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 124
89.2%
0 15
 
10.8%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.1%
Missing45
Missing (%)32.4%
Memory size410.0 B
False
94 
(Missing)
45 
ValueCountFrequency (%)
False 94
67.6%
(Missing) 45
32.4%
2024-05-11T17:04:58.662966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0.0
91 
<NA>
45 
253.55
 
1
18.64
 
1
6.49
 
1

Length

Max length6
Median length3
Mean length3.3669065
Min length3

Unique

Unique3 ?
Unique (%)2.2%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 91
65.5%
<NA> 45
32.4%
253.55 1
 
0.7%
18.64 1
 
0.7%
6.49 1
 
0.7%

Length

2024-05-11T17:04:58.786576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:58.914714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 91
65.5%
na 45
32.4%
253.55 1
 
0.7%
18.64 1
 
0.7%
6.49 1
 
0.7%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030000003000000-135-2004-0000120040226<NA>3폐업2폐업20050119<NA><NA><NA>02 7350153<NA>110140서울특별시 종로구 수송동 **-*번지 석탄회관*층<NA><NA>키토일오삼(주)2004-07-06 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업198204.837323452293.432531건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130000003000000-135-2004-0000220040406<NA>3폐업2폐업20080516<NA><NA><NA>02 7338925<NA>110044서울특별시 종로구 필운동 **번지 외**필지배화여대창업보육센터****호<NA><NA>주식회사선농단2004-04-06 00:00:00I2018-08-31 23:59:59.0건강기능식품유통전문판매업197002.668256452893.430637건강기능식품유통전문판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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