Overview

Dataset statistics

Number of variables44
Number of observations678
Missing cells5996
Missing cells (%)20.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory249.1 KiB
Average record size in memory376.2 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric5
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
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-18182/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (71.7%)Imbalance
여성종사자수 is highly imbalanced (71.2%)Imbalance
영업장주변구분명 is highly imbalanced (67.3%)Imbalance
등급구분명 is highly imbalanced (75.6%)Imbalance
총인원 is highly imbalanced (67.7%)Imbalance
보증액 is highly imbalanced (57.4%)Imbalance
월세액 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 678 (100.0%) missing valuesMissing
폐업일자 has 272 (40.1%) missing valuesMissing
휴업시작일자 has 678 (100.0%) missing valuesMissing
휴업종료일자 has 678 (100.0%) missing valuesMissing
재개업일자 has 678 (100.0%) missing valuesMissing
전화번호 has 387 (57.1%) missing valuesMissing
소재지면적 has 9 (1.3%) missing valuesMissing
도로명주소 has 161 (23.7%) missing valuesMissing
도로명우편번호 has 167 (24.6%) missing valuesMissing
좌표정보(X) has 11 (1.6%) missing valuesMissing
좌표정보(Y) has 11 (1.6%) missing valuesMissing
다중이용업소여부 has 115 (17.0%) missing valuesMissing
시설총규모 has 115 (17.0%) missing valuesMissing
전통업소지정번호 has 678 (100.0%) missing valuesMissing
전통업소주된음식 has 678 (100.0%) missing valuesMissing
홈페이지 has 678 (100.0%) missing valuesMissing
관리번호 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
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
시설총규모 has 254 (37.5%) zerosZeros

Reproduction

Analysis started2024-04-06 13:38:01.740933
Analysis finished2024-04-06 13:38:02.845741
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
3050000
678 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 678
100.0%

Length

2024-04-06T22:38:02.909490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:02.996316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 678
100.0%

관리번호
Text

UNIQUE 

Distinct678
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-06T22:38:03.149835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters14916
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

Unique678 ?
Unique (%)100.0%

Sample

1st row3050000-109-1983-00858
2nd row3050000-109-1989-00859
3rd row3050000-109-1990-00860
4th row3050000-109-1994-00254
5th row3050000-109-1994-00861
ValueCountFrequency (%)
3050000-109-1983-00858 1
 
0.1%
3050000-109-2017-00030 1
 
0.1%
3050000-109-2017-00023 1
 
0.1%
3050000-109-2017-00041 1
 
0.1%
3050000-109-2017-00024 1
 
0.1%
3050000-109-2017-00025 1
 
0.1%
3050000-109-2017-00026 1
 
0.1%
3050000-109-2017-00027 1
 
0.1%
3050000-109-2017-00028 1
 
0.1%
3050000-109-2017-00029 1
 
0.1%
Other values (668) 668
98.5%
2024-04-06T22:38:03.455463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7166
48.0%
- 2034
 
13.6%
1 1451
 
9.7%
2 1045
 
7.0%
3 887
 
5.9%
9 879
 
5.9%
5 829
 
5.6%
4 174
 
1.2%
6 169
 
1.1%
7 156
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12882
86.4%
Dash Punctuation 2034
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7166
55.6%
1 1451
 
11.3%
2 1045
 
8.1%
3 887
 
6.9%
9 879
 
6.8%
5 829
 
6.4%
4 174
 
1.4%
6 169
 
1.3%
7 156
 
1.2%
8 126
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 2034
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14916
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7166
48.0%
- 2034
 
13.6%
1 1451
 
9.7%
2 1045
 
7.0%
3 887
 
5.9%
9 879
 
5.9%
5 829
 
5.6%
4 174
 
1.2%
6 169
 
1.1%
7 156
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14916
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7166
48.0%
- 2034
 
13.6%
1 1451
 
9.7%
2 1045
 
7.0%
3 887
 
5.9%
9 879
 
5.9%
5 829
 
5.6%
4 174
 
1.2%
6 169
 
1.1%
7 156
 
1.0%

인허가일자
Date

Distinct631
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum1983-03-25 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T22:38:03.598877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:38:03.730088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing678
Missing (%)100.0%
Memory size6.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
3
406 
1
272 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 406
59.9%
1 272
40.1%

Length

2024-04-06T22:38:03.853421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:03.944996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 406
59.9%
1 272
40.1%

영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
폐업
406 
영업/정상
272 

Length

Max length5
Median length2
Mean length3.2035398
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 406
59.9%
영업/정상 272
40.1%

Length

2024-04-06T22:38:04.038760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:04.126968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 406
59.9%
영업/정상 272
40.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2
406 
1
272 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 406
59.9%
1 272
40.1%

Length

2024-04-06T22:38:04.219941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:04.305382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 406
59.9%
1 272
40.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
폐업
406 
영업
272 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 406
59.9%
영업 272
40.1%

Length

2024-04-06T22:38:04.395109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:04.485824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 406
59.9%
영업 272
40.1%

폐업일자
Date

MISSING 

Distinct346
Distinct (%)85.2%
Missing272
Missing (%)40.1%
Memory size5.4 KiB
Minimum1996-11-28 00:00:00
Maximum2024-03-19 00:00:00
2024-04-06T22:38:04.586092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:38:04.702626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing678
Missing (%)100.0%
Memory size6.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing678
Missing (%)100.0%
Memory size6.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing678
Missing (%)100.0%
Memory size6.1 KiB

전화번호
Text

MISSING 

Distinct287
Distinct (%)98.6%
Missing387
Missing (%)57.1%
Memory size5.4 KiB
2024-04-06T22:38:04.925563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.32646
Min length7

Characters and Unicode

Total characters3005
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

Unique283 ?
Unique (%)97.3%

Sample

1st row0222447762
2nd row02 9685508
3rd row0209632301
4th row02 9595523
5th row0222170500
ValueCountFrequency (%)
02 185
35.0%
959 4
 
0.8%
964 4
 
0.8%
070 4
 
0.8%
02960 3
 
0.6%
966 2
 
0.4%
967 2
 
0.4%
0222150479 2
 
0.4%
9602222 2
 
0.4%
962 2
 
0.4%
Other values (310) 318
60.2%
2024-04-06T22:38:05.271559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 557
18.5%
0 504
16.8%
9 331
11.0%
293
9.8%
6 271
9.0%
5 205
 
6.8%
4 193
 
6.4%
1 176
 
5.9%
7 171
 
5.7%
8 158
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2712
90.2%
Space Separator 293
 
9.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 557
20.5%
0 504
18.6%
9 331
12.2%
6 271
10.0%
5 205
 
7.6%
4 193
 
7.1%
1 176
 
6.5%
7 171
 
6.3%
8 158
 
5.8%
3 146
 
5.4%
Space Separator
ValueCountFrequency (%)
293
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3005
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 557
18.5%
0 504
16.8%
9 331
11.0%
293
9.8%
6 271
9.0%
5 205
 
6.8%
4 193
 
6.4%
1 176
 
5.9%
7 171
 
5.7%
8 158
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 557
18.5%
0 504
16.8%
9 331
11.0%
293
9.8%
6 271
9.0%
5 205
 
6.8%
4 193
 
6.4%
1 176
 
5.9%
7 171
 
5.7%
8 158
 
5.3%

소재지면적
Real number (ℝ)

MISSING 

Distinct331
Distinct (%)49.5%
Missing9
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean37.81278
Minimum0
Maximum350
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T22:38:05.405999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.824
Q112.4
median25.72
Q348
95-th percentile107.01
Maximum350
Range350
Interquartile range (IQR)35.6

Descriptive statistics

Standard deviation42.343829
Coefficient of variation (CV)1.1198285
Kurtosis14.121315
Mean37.81278
Median Absolute Deviation (MAD)15.72
Skewness3.1493477
Sum25296.75
Variance1792.9998
MonotonicityNot monotonic
2024-04-06T22:38:05.535331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 31
 
4.6%
10.0 30
 
4.4%
6.6 25
 
3.7%
16.5 21
 
3.1%
15.0 18
 
2.7%
20.0 17
 
2.5%
3.3 16
 
2.4%
9.9 15
 
2.2%
13.2 13
 
1.9%
26.4 13
 
1.9%
Other values (321) 470
69.3%
ValueCountFrequency (%)
0.0 1
 
0.1%
1.44 1
 
0.1%
1.65 1
 
0.1%
1.84 1
 
0.1%
2.0 1
 
0.1%
2.7 1
 
0.1%
3.0 3
 
0.4%
3.3 16
2.4%
3.75 1
 
0.1%
3.9 1
 
0.1%
ValueCountFrequency (%)
350.0 1
0.1%
330.0 1
0.1%
298.58 1
0.1%
265.0 1
0.1%
250.0 1
0.1%
247.25 1
0.1%
231.0 1
0.1%
221.21 1
0.1%
208.88 1
0.1%
189.6 1
0.1%

소재지우편번호
Text

Distinct91
Distinct (%)13.4%
Missing1
Missing (%)0.1%
Memory size5.4 KiB
2024-04-06T22:38:05.778795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1033973
Min length6

Characters and Unicode

Total characters4132
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

Unique30 ?
Unique (%)4.4%

Sample

1st row130841
2nd row130864
3rd row130864
4th row130864
5th row130878
ValueCountFrequency (%)
130864 257
38.0%
130865 62
 
9.2%
130-864 30
 
4.4%
130863 25
 
3.7%
130862 22
 
3.2%
130817 16
 
2.4%
130851 14
 
2.1%
130842 12
 
1.8%
130823 11
 
1.6%
130820 11
 
1.6%
Other values (81) 217
32.1%
2024-04-06T22:38:06.146611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 766
18.5%
3 764
18.5%
1 748
18.1%
8 684
16.6%
6 457
11.1%
4 347
8.4%
5 127
 
3.1%
2 83
 
2.0%
- 70
 
1.7%
7 65
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4062
98.3%
Dash Punctuation 70
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 766
18.9%
3 764
18.8%
1 748
18.4%
8 684
16.8%
6 457
11.3%
4 347
8.5%
5 127
 
3.1%
2 83
 
2.0%
7 65
 
1.6%
9 21
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 766
18.5%
3 764
18.5%
1 748
18.1%
8 684
16.6%
6 457
11.1%
4 347
8.4%
5 127
 
3.1%
2 83
 
2.0%
- 70
 
1.7%
7 65
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 766
18.5%
3 764
18.5%
1 748
18.1%
8 684
16.6%
6 457
11.1%
4 347
8.4%
5 127
 
3.1%
2 83
 
2.0%
- 70
 
1.7%
7 65
 
1.6%

지번주소
Text

Distinct614
Distinct (%)90.7%
Missing1
Missing (%)0.1%
Memory size5.4 KiB
2024-04-06T22:38:06.370591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length49
Mean length25.193501
Min length17

Characters and Unicode

Total characters17056
Distinct characters193
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique565 ?
Unique (%)83.5%

Sample

1st row서울특별시 동대문구 장안동 363-10
2nd row서울특별시 동대문구 제기동 1140-36
3rd row서울특별시 동대문구 제기동 892-71
4th row서울특별시 동대문구 제기동 892-18
5th row서울특별시 동대문구 휘경동 276-49
ValueCountFrequency (%)
서울특별시 677
21.4%
동대문구 676
21.4%
제기동 417
 
13.2%
장안동 79
 
2.5%
1층 52
 
1.6%
용두동 51
 
1.6%
전농동 38
 
1.2%
답십리동 30
 
0.9%
2층 24
 
0.8%
경동시장 21
 
0.7%
Other values (728) 1094
34.6%
2024-04-06T22:38:06.725882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3064
18.0%
동 1402
 
8.2%
1 916
 
5.4%
시 712
 
4.2%
문 687
 
4.0%
구 682
 
4.0%
서 679
 
4.0%
대 679
 
4.0%
울 679
 
4.0%
특 677
 
4.0%
Other values (183) 6879
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9576
56.1%
Decimal Number 3594
 
21.1%
Space Separator 3064
 
18.0%
Dash Punctuation 537
 
3.1%
Open Punctuation 133
 
0.8%
Close Punctuation 131
 
0.8%
Uppercase Letter 10
 
0.1%
Other Punctuation 6
 
< 0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1402
14.6%
시 712
 
7.4%
문 687
 
7.2%
구 682
 
7.1%
서 679
 
7.1%
대 679
 
7.1%
울 679
 
7.1%
특 677
 
7.1%
별 677
 
7.1%
기 426
 
4.4%
Other values (159) 2276
23.8%
Decimal Number
ValueCountFrequency (%)
1 916
25.5%
2 447
12.4%
0 361
 
10.0%
3 346
 
9.6%
9 313
 
8.7%
8 266
 
7.4%
4 262
 
7.3%
5 251
 
7.0%
6 223
 
6.2%
7 209
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
60.0%
A 1
 
10.0%
S 1
 
10.0%
K 1
 
10.0%
O 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 89
66.9%
[ 44
33.1%
Close Punctuation
ValueCountFrequency (%)
) 87
66.4%
] 44
33.6%
Space Separator
ValueCountFrequency (%)
3064
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 537
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9576
56.1%
Common 7469
43.8%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1402
14.6%
시 712
 
7.4%
문 687
 
7.2%
구 682
 
7.1%
서 679
 
7.1%
대 679
 
7.1%
울 679
 
7.1%
특 677
 
7.1%
별 677
 
7.1%
기 426
 
4.4%
Other values (159) 2276
23.8%
Common
ValueCountFrequency (%)
3064
41.0%
1 916
 
12.3%
- 537
 
7.2%
2 447
 
6.0%
0 361
 
4.8%
3 346
 
4.6%
9 313
 
4.2%
8 266
 
3.6%
4 262
 
3.5%
5 251
 
3.4%
Other values (8) 706
 
9.5%
Latin
ValueCountFrequency (%)
B 6
54.5%
A 1
 
9.1%
S 1
 
9.1%
K 1
 
9.1%
O 1
 
9.1%
s 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9576
56.1%
ASCII 7480
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3064
41.0%
1 916
 
12.2%
- 537
 
7.2%
2 447
 
6.0%
0 361
 
4.8%
3 346
 
4.6%
9 313
 
4.2%
8 266
 
3.6%
4 262
 
3.5%
5 251
 
3.4%
Other values (14) 717
 
9.6%
Hangul
ValueCountFrequency (%)
동 1402
14.6%
시 712
 
7.4%
문 687
 
7.2%
구 682
 
7.1%
서 679
 
7.1%
대 679
 
7.1%
울 679
 
7.1%
특 677
 
7.1%
별 677
 
7.1%
기 426
 
4.4%
Other values (159) 2276
23.8%

도로명주소
Text

MISSING 

Distinct500
Distinct (%)96.7%
Missing161
Missing (%)23.7%
Memory size5.4 KiB
2024-04-06T22:38:07.010159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length33.048356
Min length24

Characters and Unicode

Total characters17086
Distinct characters162
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

Unique484 ?
Unique (%)93.6%

Sample

1st row서울특별시 동대문구 장한로18길 12, 지하1층 (장안동)
2nd row서울특별시 동대문구 왕산로 214, 지하2층 (전농동)
3rd row서울특별시 동대문구 경동시장로3길 6-7 (제기동,[경동시장3길4])
4th row서울특별시 동대문구 고산자로36길 3 (제기동,경동시장 신관 지하1층 80호[고산자로 202])
5th row서울특별시 동대문구 무학로34길 39 (용두동,(용오작길19-1))
ValueCountFrequency (%)
서울특별시 517
 
15.8%
동대문구 517
 
15.8%
제기동 317
 
9.7%
1층 204
 
6.2%
약령중앙로 86
 
2.6%
2층 86
 
2.6%
장안동 53
 
1.6%
약령동길 39
 
1.2%
지하1층 39
 
1.2%
3 37
 
1.1%
Other values (578) 1378
42.1%
2024-04-06T22:38:07.449502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2768
 
16.2%
동 1166
 
6.8%
1 758
 
4.4%
시 579
 
3.4%
, 544
 
3.2%
서 542
 
3.2%
대 539
 
3.2%
( 536
 
3.1%
) 534
 
3.1%
문 528
 
3.1%
Other values (152) 8592
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9946
58.2%
Space Separator 2768
 
16.2%
Decimal Number 2577
 
15.1%
Open Punctuation 563
 
3.3%
Close Punctuation 561
 
3.3%
Other Punctuation 544
 
3.2%
Dash Punctuation 117
 
0.7%
Math Symbol 5
 
< 0.1%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1166
 
11.7%
시 579
 
5.8%
서 542
 
5.4%
대 539
 
5.4%
문 528
 
5.3%
울 524
 
5.3%
구 519
 
5.2%
특 517
 
5.2%
별 517
 
5.2%
로 491
 
4.9%
Other values (131) 4024
40.5%
Decimal Number
ValueCountFrequency (%)
1 758
29.4%
2 379
14.7%
3 323
12.5%
4 242
 
9.4%
0 220
 
8.5%
6 172
 
6.7%
5 168
 
6.5%
7 120
 
4.7%
8 109
 
4.2%
9 86
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
S 1
 
20.0%
K 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 536
95.2%
[ 27
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 534
95.2%
] 27
 
4.8%
Space Separator
ValueCountFrequency (%)
2768
100.0%
Other Punctuation
ValueCountFrequency (%)
, 544
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9946
58.2%
Common 7135
41.8%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1166
 
11.7%
시 579
 
5.8%
서 542
 
5.4%
대 539
 
5.4%
문 528
 
5.3%
울 524
 
5.3%
구 519
 
5.2%
특 517
 
5.2%
별 517
 
5.2%
로 491
 
4.9%
Other values (131) 4024
40.5%
Common
ValueCountFrequency (%)
2768
38.8%
1 758
 
10.6%
, 544
 
7.6%
( 536
 
7.5%
) 534
 
7.5%
2 379
 
5.3%
3 323
 
4.5%
4 242
 
3.4%
0 220
 
3.1%
6 172
 
2.4%
Other values (8) 659
 
9.2%
Latin
ValueCountFrequency (%)
B 3
60.0%
S 1
 
20.0%
K 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9946
58.2%
ASCII 7140
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2768
38.8%
1 758
 
10.6%
, 544
 
7.6%
( 536
 
7.5%
) 534
 
7.5%
2 379
 
5.3%
3 323
 
4.5%
4 242
 
3.4%
0 220
 
3.1%
6 172
 
2.4%
Other values (11) 664
 
9.3%
Hangul
ValueCountFrequency (%)
동 1166
 
11.7%
시 579
 
5.8%
서 542
 
5.4%
대 539
 
5.4%
문 528
 
5.3%
울 524
 
5.3%
구 519
 
5.2%
특 517
 
5.2%
별 517
 
5.2%
로 491
 
4.9%
Other values (131) 4024
40.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)21.1%
Missing167
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean2546.7339
Minimum2406
Maximum2646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T22:38:07.620706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2406
5-th percentile2478
Q12487
median2570
Q32571
95-th percentile2625
Maximum2646
Range240
Interquartile range (IQR)84

Descriptive statistics

Standard deviation48.872018
Coefficient of variation (CV)0.019190077
Kurtosis-0.51964517
Mean2546.7339
Median Absolute Deviation (MAD)8
Skewness-0.53086352
Sum1301381
Variance2388.4741
MonotonicityNot monotonic
2024-04-06T22:38:07.791070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2570 107
15.8%
2478 80
11.8%
2571 60
 
8.8%
2569 54
 
8.0%
2572 11
 
1.6%
2566 8
 
1.2%
2480 8
 
1.2%
2604 6
 
0.9%
2585 5
 
0.7%
2568 5
 
0.7%
Other values (98) 167
24.6%
(Missing) 167
24.6%
ValueCountFrequency (%)
2406 1
 
0.1%
2418 2
0.3%
2423 1
 
0.1%
2427 1
 
0.1%
2428 1
 
0.1%
2435 1
 
0.1%
2445 1
 
0.1%
2446 2
0.3%
2452 3
0.4%
2453 1
 
0.1%
ValueCountFrequency (%)
2646 1
 
0.1%
2645 2
0.3%
2644 4
0.6%
2643 2
0.3%
2640 2
0.3%
2639 2
0.3%
2637 1
 
0.1%
2633 1
 
0.1%
2631 3
0.4%
2629 1
 
0.1%

사업장명
Text

Distinct658
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-06T22:38:08.041069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length5.7713864
Min length1

Characters and Unicode

Total characters3913
Distinct characters452
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique639 ?
Unique (%)94.2%

Sample

1st row창우식품
2nd row삼진물상(주)
3rd row(주)미도파마트
4th row청운유통
5th row도르가건강식품
ValueCountFrequency (%)
주식회사 20
 
2.7%
서현식품 3
 
0.4%
천수장생 2
 
0.3%
장안점 2
 
0.3%
허브 2
 
0.3%
태창푸드 2
 
0.3%
생생드림 2
 
0.3%
이바지원폐백 2
 
0.3%
천삼향기 2
 
0.3%
신흥농산 2
 
0.3%
Other values (683) 696
94.7%
2024-04-06T22:38:08.401521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 141
 
3.6%
) 128
 
3.3%
( 128
 
3.3%
식 99
 
2.5%
이 87
 
2.2%
사 71
 
1.8%
품 70
 
1.8%
산 67
 
1.7%
약 60
 
1.5%
회 60
 
1.5%
Other values (442) 3002
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3468
88.6%
Close Punctuation 128
 
3.3%
Open Punctuation 128
 
3.3%
Lowercase Letter 59
 
1.5%
Space Separator 57
 
1.5%
Uppercase Letter 41
 
1.0%
Decimal Number 23
 
0.6%
Other Punctuation 6
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 141
 
4.1%
식 99
 
2.9%
이 87
 
2.5%
사 71
 
2.0%
품 70
 
2.0%
산 67
 
1.9%
약 60
 
1.7%
회 60
 
1.7%
한 59
 
1.7%
마 50
 
1.4%
Other values (388) 2704
78.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
 
9.8%
C 4
 
9.8%
N 3
 
7.3%
S 3
 
7.3%
P 3
 
7.3%
R 3
 
7.3%
K 2
 
4.9%
O 2
 
4.9%
Y 2
 
4.9%
A 2
 
4.9%
Other values (10) 13
31.7%
Lowercase Letter
ValueCountFrequency (%)
e 8
13.6%
o 7
11.9%
n 6
10.2%
a 5
 
8.5%
u 4
 
6.8%
l 4
 
6.8%
r 3
 
5.1%
g 3
 
5.1%
y 3
 
5.1%
s 3
 
5.1%
Other values (9) 13
22.0%
Decimal Number
ValueCountFrequency (%)
1 5
21.7%
5 4
17.4%
2 4
17.4%
0 4
17.4%
3 3
13.0%
6 2
 
8.7%
4 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
% 1
 
16.7%
' 1
 
16.7%
& 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3464
88.5%
Common 345
 
8.8%
Latin 100
 
2.6%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 141
 
4.1%
식 99
 
2.9%
이 87
 
2.5%
사 71
 
2.0%
품 70
 
2.0%
산 67
 
1.9%
약 60
 
1.7%
회 60
 
1.7%
한 59
 
1.7%
마 50
 
1.4%
Other values (384) 2700
77.9%
Latin
ValueCountFrequency (%)
e 8
 
8.0%
o 7
 
7.0%
n 6
 
6.0%
a 5
 
5.0%
u 4
 
4.0%
T 4
 
4.0%
l 4
 
4.0%
C 4
 
4.0%
r 3
 
3.0%
g 3
 
3.0%
Other values (29) 52
52.0%
Common
ValueCountFrequency (%)
) 128
37.1%
( 128
37.1%
57
16.5%
1 5
 
1.4%
5 4
 
1.2%
2 4
 
1.2%
0 4
 
1.2%
, 3
 
0.9%
3 3
 
0.9%
- 3
 
0.9%
Other values (5) 6
 
1.7%
Han
ValueCountFrequency (%)
天 1
25.0%
人 1
25.0%
藥 1
25.0%
地 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3464
88.5%
ASCII 445
 
11.4%
CJK 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 141
 
4.1%
식 99
 
2.9%
이 87
 
2.5%
사 71
 
2.0%
품 70
 
2.0%
산 67
 
1.9%
약 60
 
1.7%
회 60
 
1.7%
한 59
 
1.7%
마 50
 
1.4%
Other values (384) 2700
77.9%
ASCII
ValueCountFrequency (%)
) 128
28.8%
( 128
28.8%
57
12.8%
e 8
 
1.8%
o 7
 
1.6%
n 6
 
1.3%
a 5
 
1.1%
1 5
 
1.1%
u 4
 
0.9%
T 4
 
0.9%
Other values (44) 93
20.9%
CJK
ValueCountFrequency (%)
天 1
25.0%
人 1
25.0%
藥 1
25.0%
地 1
25.0%

최종수정일자
Date

Distinct645
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum1999-02-12 00:00:00
Maximum2024-04-02 11:21:54
2024-04-06T22:38:08.530879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:38:08.660978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
I
442 
U
236 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 442
65.2%
U 236
34.8%

Length

2024-04-06T22:38:08.786639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:08.872803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 442
65.2%
u 236
34.8%

데이터갱신일자
Date

Distinct289
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-06T22:38:08.967402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:38:09.089854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
식품소분업
678 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 678
100.0%

Length

2024-04-06T22:38:09.210446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:09.295480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 678
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct452
Distinct (%)67.8%
Missing11
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean203786.36
Minimum202045.58
Maximum206592.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T22:38:09.393288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202045.58
5-th percentile202795.82
Q1203208.05
median203310.26
Q3204081.28
95-th percentile206101.91
Maximum206592.42
Range4546.842
Interquartile range (IQR)873.23309

Descriptive statistics

Standard deviation1025.8777
Coefficient of variation (CV)0.0050340842
Kurtosis0.51411
Mean203786.36
Median Absolute Deviation (MAD)159.32029
Skewness1.3015332
Sum1.359255 × 108
Variance1052425
MonotonicityNot monotonic
2024-04-06T22:38:09.522985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203397.282060237 18
 
2.7%
203403.019535366 14
 
2.1%
203075.098504907 12
 
1.8%
203347.517232661 9
 
1.3%
203208.049025786 9
 
1.3%
203155.504921512 7
 
1.0%
203265.323954112 7
 
1.0%
204081.282117393 6
 
0.9%
203996.013917877 6
 
0.9%
203216.41504101 5
 
0.7%
Other values (442) 574
84.7%
(Missing) 11
 
1.6%
ValueCountFrequency (%)
202045.581261433 1
0.1%
202062.761298766 1
0.1%
202090.987353843 1
0.1%
202172.42816751 1
0.1%
202187.929731637 1
0.1%
202220.924296807 1
0.1%
202243.651095431 1
0.1%
202254.127021386 1
0.1%
202302.183226249 1
0.1%
202321.748118565 1
0.1%
ValueCountFrequency (%)
206592.423303981 1
0.1%
206543.156690365 1
0.1%
206506.011771819 2
0.3%
206450.432488236 1
0.1%
206439.382497384 1
0.1%
206384.439030762 1
0.1%
206379.150564333 1
0.1%
206377.641749401 1
0.1%
206362.168213942 1
0.1%
206343.198583651 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct452
Distinct (%)67.8%
Missing11
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean453068.92
Minimum450998.64
Maximum455790.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T22:38:09.921269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450998.64
5-th percentile451752.35
Q1452855.9
median453084.9
Q3453386.09
95-th percentile454062.3
Maximum455790.63
Range4791.9924
Interquartile range (IQR)530.19314

Descriptive statistics

Standard deviation648.09481
Coefficient of variation (CV)0.0014304552
Kurtosis2.3888557
Mean453068.92
Median Absolute Deviation (MAD)282.85728
Skewness-0.17373759
Sum3.0219697 × 108
Variance420026.89
MonotonicityNot monotonic
2024-04-06T22:38:10.048875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453025.117728275 18
 
2.7%
452985.725419514 14
 
2.1%
452918.836458244 12
 
1.8%
453035.676205184 9
 
1.3%
452928.335014597 9
 
1.3%
452914.607542858 7
 
1.0%
453735.357072092 7
 
1.0%
453187.395154017 6
 
0.9%
453058.665828669 6
 
0.9%
453014.39735199 5
 
0.7%
Other values (442) 574
84.7%
(Missing) 11
 
1.6%
ValueCountFrequency (%)
450998.638678935 1
0.1%
451027.075395798 1
0.1%
451108.047802152 1
0.1%
451110.245309908 1
0.1%
451122.88876405 2
0.3%
451153.120269048 1
0.1%
451164.874072088 1
0.1%
451189.775114398 1
0.1%
451204.020073624 1
0.1%
451216.676574121 1
0.1%
ValueCountFrequency (%)
455790.631069022 2
0.3%
455464.88282512 1
 
0.1%
455131.683241064 4
0.6%
455106.642149046 1
 
0.1%
454907.049240855 1
 
0.1%
454700.999035247 1
 
0.1%
454482.385697216 1
 
0.1%
454406.655078623 1
 
0.1%
454328.347733379 1
 
0.1%
454322.350152875 1
 
0.1%

위생업태명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
식품소분업
563 
<NA>
115 

Length

Max length5
Median length5
Mean length4.8303835
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 563
83.0%
<NA> 115
 
17.0%

Length

2024-04-06T22:38:10.185463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:10.286683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 563
83.0%
na 115
 
17.0%

남성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
592 
0
72 
1
 
8
2
 
5
3
 
1

Length

Max length4
Median length4
Mean length3.619469
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row2
3rd row0
4th row1
5th row2

Common Values

ValueCountFrequency (%)
<NA> 592
87.3%
0 72
 
10.6%
1 8
 
1.2%
2 5
 
0.7%
3 1
 
0.1%

Length

2024-04-06T22:38:10.391175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:10.494415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 592
87.3%
0 72
 
10.6%
1 8
 
1.2%
2 5
 
0.7%
3 1
 
0.1%

여성종사자수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
592 
0
69 
1
 
11
2
 
5
3
 
1

Length

Max length4
Median length4
Mean length3.619469
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2
2nd row2
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 592
87.3%
0 69
 
10.2%
1 11
 
1.6%
2 5
 
0.7%
3 1
 
0.1%

Length

2024-04-06T22:38:10.662260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:10.803926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 592
87.3%
0 69
 
10.2%
1 11
 
1.6%
2 5
 
0.7%
3 1
 
0.1%

영업장주변구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
617 
기타
 
41
주택가주변
 
20

Length

Max length5
Median length4
Mean length3.9085546
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row기타
3rd row기타
4th row기타
5th row주택가주변

Common Values

ValueCountFrequency (%)
<NA> 617
91.0%
기타 41
 
6.0%
주택가주변 20
 
2.9%

Length

2024-04-06T22:38:10.904906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:10.996056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 617
91.0%
기타 41
 
6.0%
주택가주변 20
 
2.9%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
617 
기타
 
54
관리
 
6
자율
 
1

Length

Max length4
Median length4
Mean length3.820059
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row관리
2nd row관리
3rd row관리
4th row기타
5th row관리

Common Values

ValueCountFrequency (%)
<NA> 617
91.0%
기타 54
 
8.0%
관리 6
 
0.9%
자율 1
 
0.1%

Length

2024-04-06T22:38:11.105704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:11.228444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 617
91.0%
기타 54
 
8.0%
관리 6
 
0.9%
자율 1
 
0.1%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
555 
상수도전용
123 

Length

Max length5
Median length4
Mean length4.1814159
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 555
81.9%
상수도전용 123
 
18.1%

Length

2024-04-06T22:38:11.349959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:11.459442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 555
81.9%
상수도전용 123
 
18.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
638 
0
 
40

Length

Max length4
Median length4
Mean length3.8230088
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> 638
94.1%
0 40
 
5.9%

Length

2024-04-06T22:38:11.587888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:11.701398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 638
94.1%
0 40
 
5.9%

본사종업원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
469 
0
209 

Length

Max length4
Median length4
Mean length3.0752212
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 469
69.2%
0 209
30.8%

Length

2024-04-06T22:38:11.816286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:11.929847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 469
69.2%
0 209
30.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
469 
0
209 

Length

Max length4
Median length4
Mean length3.0752212
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 469
69.2%
0 209
30.8%

Length

2024-04-06T22:38:12.046631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:12.166476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 469
69.2%
0 209
30.8%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
469 
0
209 

Length

Max length4
Median length4
Mean length3.0752212
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 469
69.2%
0 209
30.8%

Length

2024-04-06T22:38:12.262424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:12.349623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 469
69.2%
0 209
30.8%

공장생산직종업원수
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
468 
0
209 
1
 
1

Length

Max length4
Median length4
Mean length3.0707965
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 468
69.0%
0 209
30.8%
1 1
 
0.1%

Length

2024-04-06T22:38:12.443053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:12.533219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 468
69.0%
0 209
30.8%
1 1
 
0.1%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
자가
305 
<NA>
245 
임대
128 

Length

Max length4
Median length2
Mean length2.7227139
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 (%)
자가 305
45.0%
<NA> 245
36.1%
임대 128
18.9%

Length

2024-04-06T22:38:12.641448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:12.741599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가 305
45.0%
na 245
36.1%
임대 128
18.9%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
619 
0
 
59

Length

Max length4
Median length4
Mean length3.7389381
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> 619
91.3%
0 59
 
8.7%

Length

2024-04-06T22:38:12.843681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:12.943400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
91.3%
0 59
 
8.7%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
<NA>
619 
0
 
59

Length

Max length4
Median length4
Mean length3.7389381
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> 619
91.3%
0 59
 
8.7%

Length

2024-04-06T22:38:13.042479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:38:13.135562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 619
91.3%
0 59
 
8.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing115
Missing (%)17.0%
Memory size1.5 KiB
False
563 
(Missing)
115 
ValueCountFrequency (%)
False 563
83.0%
(Missing) 115
 
17.0%
2024-04-06T22:38:13.205512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct155
Distinct (%)27.5%
Missing115
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean19.20373
Minimum0
Maximum330
Zeros254
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-06T22:38:13.307177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.26
Q326.4
95-th percentile82.617
Maximum330
Range330
Interquartile range (IQR)26.4

Descriptive statistics

Standard deviation33.860055
Coefficient of variation (CV)1.763202
Kurtosis23.142325
Mean19.20373
Median Absolute Deviation (MAD)6.26
Skewness3.8939676
Sum10811.7
Variance1146.5033
MonotonicityNot monotonic
2024-04-06T22:38:13.440535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 254
37.5%
33.0 17
 
2.5%
10.0 16
 
2.4%
15.0 14
 
2.1%
6.6 13
 
1.9%
16.5 12
 
1.8%
30.0 10
 
1.5%
9.9 10
 
1.5%
3.3 9
 
1.3%
20.0 9
 
1.3%
Other values (145) 199
29.4%
(Missing) 115
17.0%
ValueCountFrequency (%)
0.0 254
37.5%
3.0 1
 
0.1%
3.3 9
 
1.3%
3.75 1
 
0.1%
3.9 1
 
0.1%
4.0 1
 
0.1%
4.2 1
 
0.1%
4.95 1
 
0.1%
5.0 6
 
0.9%
5.16 1
 
0.1%
ValueCountFrequency (%)
330.0 1
0.1%
265.0 1
0.1%
247.25 1
0.1%
188.0 1
0.1%
170.73 1
0.1%
168.75 1
0.1%
162.96 1
0.1%
125.4 1
0.1%
123.08 1
0.1%
109.09 1
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing678
Missing (%)100.0%
Memory size6.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing678
Missing (%)100.0%
Memory size6.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing678
Missing (%)100.0%
Memory size6.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030500003050000-109-1983-0085819830325<NA>1영업/정상1영업<NA><NA><NA><NA>0222447762125.4130841서울특별시 동대문구 장안동 363-10서울특별시 동대문구 장한로18길 12, 지하1층 (장안동)2640창우식품2019-06-04 11:36:45U2019-06-06 02:40:00.0식품소분업206070.363023451697.618993식품소분업12주택가주변관리상수도전용<NA>0000<NA><NA><NA>N125.4<NA><NA><NA>
130500003050000-109-1989-0085919891111<NA>3폐업2폐업20000325<NA><NA><NA>02 968550843.2130864서울특별시 동대문구 제기동 1140-36<NA><NA>삼진물상(주)2000-03-27 00:00:00I2018-08-31 23:59:59.0식품소분업203160.105371452991.124685식품소분업22기타관리상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230500003050000-109-1990-0086019900716<NA>3폐업2폐업20030331<NA><NA><NA>020963230189.5130864서울특별시 동대문구 제기동 892-71<NA><NA>(주)미도파마트2002-10-31 00:00:00I2018-08-31 23:59:59.0식품소분업203075.098505452918.836458식품소분업00기타관리상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
330500003050000-109-1994-0025419940329<NA>3폐업2폐업20000424<NA><NA><NA>02 959552364.31130864서울특별시 동대문구 제기동 892-18<NA><NA>청운유통2001-09-29 00:00:00I2018-08-31 23:59:59.0식품소분업203148.757896453221.966791식품소분업11기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430500003050000-109-1994-0086119940223<NA>3폐업2폐업20020527<NA><NA><NA>022217050017.29130878서울특별시 동대문구 휘경동 276-49<NA><NA>도르가건강식품2003-06-26 00:00:00I2018-08-31 23:59:59.0식품소분업205408.12362454157.221041식품소분업21주택가주변관리상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530500003050000-109-1994-0086219940310<NA>3폐업2폐업19991112<NA><NA><NA>020957455146.56130863서울특별시 동대문구 제기동 844-0<NA><NA>동안종합식품1999-11-15 00:00:00I2018-08-31 23:59:59.0식품소분업203361.712863453384.607472식품소분업31기타관리<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630500003050000-109-1994-0086319940317<NA>1영업/정상1영업<NA><NA><NA><NA>02 9581002221.21130851서울특별시 동대문구 전농동 591-53서울특별시 동대문구 왕산로 214, 지하2층 (전농동)2555롯데청량리점2022-04-27 07:41:26U2021-12-03 22:09:00.0식품소분업204081.282117453187.395154<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
730500003050000-109-1995-0086419950404<NA>3폐업2폐업19990825<NA><NA><NA>02 966708310.14130050서울특별시 동대문구 회기동 347-6<NA><NA>서울체인1999-09-07 00:00:00I2018-08-31 23:59:59.0식품소분업204776.458764454266.350932식품소분업11주택가주변관리상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830500003050000-109-1996-0025219960423<NA>3폐업2폐업19971101<NA><NA><NA>02 968675141.76130864서울특별시 동대문구 제기동 963-0<NA><NA>정우농산2001-09-29 00:00:00I2018-08-31 23:59:59.0식품소분업203232.192622453297.51198식품소분업<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930500003050000-109-1996-0025319960502<NA>3폐업2폐업20140207<NA><NA><NA>02 965735157.25130865서울특별시 동대문구 제기동 992-9 [경동시장3길4]서울특별시 동대문구 경동시장로3길 6-7 (제기동,[경동시장3길4])2571성진식품2010-12-01 16:10:06I2018-08-31 23:59:59.0식품소분업203483.787836453081.149858식품소분업<NA><NA>주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
66830500003050000-109-2023-000112023-12-22<NA>1영업/정상1영업<NA><NA><NA><NA>02 966910016.5130-864서울특별시 동대문구 제기동 1115-16서울특별시 동대문구 약령중앙로 16, 1층 (제기동)2570원창무약2023-12-22 13:49:28I2022-11-01 22:04:00.0식품소분업203207.442713453038.321544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
66930500003050000-109-2023-000122023-12-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0130-864서울특별시 동대문구 제기동 887-136서울특별시 동대문구 약령중앙로 47, 3층 (제기동)2569(주)중원비전바이오2024-01-30 11:20:49U2023-12-02 00:01:00.0식품소분업203205.590125453362.738086<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67030500003050000-109-2024-000012024-01-02<NA>1영업/정상1영업<NA><NA><NA><NA>02 55518336.0130-753서울특별시 동대문구 답십리동 41 동서울한양아파트서울특별시 동대문구 답십리로 184, 상가동 1층 122호 (답십리동, 동서울한양아파트)2608주식회사 홈쿡 제1직영점2024-01-02 16:42:03I2023-12-01 00:04:00.0식품소분업205265.507078452126.144141<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67130500003050000-109-2024-000022024-01-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>18.03130-850서울특별시 동대문구 전농동 38-18서울특별시 동대문구 사가정로 143, 지층 (전농동)2508(주)조선한방2024-01-05 14:37:12I2023-12-01 00:07:00.0식품소분업205302.095159452866.662645<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67230500003050000-109-2024-000032024-01-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.4130-864서울특별시 동대문구 제기동 965-1서울특별시 동대문구 약령중앙로8길 10, 4층 (제기동)2570블랙넛(BLACK NUT)2024-01-29 15:41:34I2023-11-30 21:01:00.0식품소분업203265.07323453248.964041<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67330500003050000-109-2024-000042024-02-01<NA>1영업/정상1영업<NA><NA><NA><NA><NA>7.0130-713서울특별시 동대문구 전농동 645-2 동아아파트서울특별시 동대문구 서울시립대로 31, 102동 211호 (전농동, 동아아파트)2591까까상회2024-02-01 16:20:16I2023-12-02 00:03:00.0식품소분업203967.783536452510.849293<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67430500003050000-109-2024-000052024-02-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3130-817서울특별시 동대문구 용두동 36-10 한독빌딩서울특별시 동대문구 고산자로 377, 한독빌딩 2층 25호 (용두동)2590트렌드피커2024-02-05 17:30:42I2023-12-02 00:07:00.0식품소분업203261.717163452344.123945<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67530500003050000-109-2024-000062024-02-22<NA>1영업/정상1영업<NA><NA><NA><NA>02 921 73808.9130-860서울특별시 동대문구 제기동 136-234서울특별시 동대문구 고산자로 559, 3층 (제기동)2473행복별 주식회사2024-02-22 11:15:43I2023-12-01 22:04:00.0식품소분업203136.777833454094.258125<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67630500003050000-109-2024-000072024-03-11<NA>1영업/정상1영업<NA><NA><NA><NA><NA>63.0130-820서울특별시 동대문구 용두동 105-7서울특별시 동대문구 왕산로16나길 33, 지하1층 (용두동)2585(주)글로벌시장2024-03-11 11:05:51I2023-12-02 23:04:00.0식품소분업202854.437271452738.10352<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67730500003050000-109-2024-000082024-04-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>49.55130-864서울특별시 동대문구 제기동 937서울특별시 동대문구 고산자로 461, 1층 (제기동)2570모아푸드2024-04-02 10:46:27I2023-12-04 00:04:00.0식품소분업203306.746872453179.801158<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>