Overview

Dataset statistics

Number of variables44
Number of observations546
Missing cells4741
Missing cells (%)19.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory200.6 KiB
Average record size in memory376.2 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18380/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (61.4%)Imbalance
여성종사자수 is highly imbalanced (60.3%)Imbalance
영업장주변구분명 is highly imbalanced (79.5%)Imbalance
등급구분명 is highly imbalanced (80.2%)Imbalance
총인원 is highly imbalanced (50.6%)Imbalance
시설총규모 is highly imbalanced (59.3%)Imbalance
인허가취소일자 has 546 (100.0%) missing valuesMissing
폐업일자 has 245 (44.9%) missing valuesMissing
휴업시작일자 has 546 (100.0%) missing valuesMissing
휴업종료일자 has 546 (100.0%) missing valuesMissing
재개업일자 has 546 (100.0%) missing valuesMissing
전화번호 has 236 (43.2%) missing valuesMissing
소재지면적 has 35 (6.4%) missing valuesMissing
도로명주소 has 80 (14.7%) missing valuesMissing
도로명우편번호 has 82 (15.0%) missing valuesMissing
다중이용업소여부 has 229 (41.9%) missing valuesMissing
전통업소지정번호 has 546 (100.0%) missing valuesMissing
전통업소주된음식 has 546 (100.0%) missing valuesMissing
홈페이지 has 546 (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
소재지면적 has 15 (2.7%) zerosZeros

Reproduction

Analysis started2024-05-11 05:28:51.486419
Analysis finished2024-05-11 05:28:52.914904
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3030000
546 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3030000 546
100.0%

Length

2024-05-11T14:28:53.014519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:53.124782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 546
100.0%

관리번호
Text

UNIQUE 

Distinct546
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T14:28:53.342679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters12012
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

Unique546 ?
Unique (%)100.0%

Sample

1st row3030000-113-1992-00470
2nd row3030000-113-1992-00499
3rd row3030000-113-1994-00497
4th row3030000-113-1996-00469
5th row3030000-113-1996-00471
ValueCountFrequency (%)
3030000-113-1992-00470 1
 
0.2%
3030000-113-2020-00070 1
 
0.2%
3030000-113-2021-00005 1
 
0.2%
3030000-113-2021-00004 1
 
0.2%
3030000-113-2021-00003 1
 
0.2%
3030000-113-2021-00002 1
 
0.2%
3030000-113-2021-00001 1
 
0.2%
3030000-113-2020-00071 1
 
0.2%
3030000-113-2021-00040 1
 
0.2%
3030000-113-2021-00039 1
 
0.2%
Other values (536) 536
98.2%
2024-05-11T14:28:54.080891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5262
43.8%
3 1820
 
15.2%
- 1638
 
13.6%
1 1579
 
13.1%
2 974
 
8.1%
9 160
 
1.3%
4 146
 
1.2%
7 115
 
1.0%
6 113
 
0.9%
5 105
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10374
86.4%
Dash Punctuation 1638
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5262
50.7%
3 1820
 
17.5%
1 1579
 
15.2%
2 974
 
9.4%
9 160
 
1.5%
4 146
 
1.4%
7 115
 
1.1%
6 113
 
1.1%
5 105
 
1.0%
8 100
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 1638
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12012
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5262
43.8%
3 1820
 
15.2%
- 1638
 
13.6%
1 1579
 
13.1%
2 974
 
8.1%
9 160
 
1.3%
4 146
 
1.2%
7 115
 
1.0%
6 113
 
0.9%
5 105
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5262
43.8%
3 1820
 
15.2%
- 1638
 
13.6%
1 1579
 
13.1%
2 974
 
8.1%
9 160
 
1.3%
4 146
 
1.2%
7 115
 
1.0%
6 113
 
0.9%
5 105
 
0.9%

인허가일자
Date

Distinct497
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1992-04-07 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T14:28:54.295229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:54.508988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing546
Missing (%)100.0%
Memory size4.9 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3
301 
1
245 

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 (%)
3 301
55.1%
1 245
44.9%

Length

2024-05-11T14:28:54.728345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:54.873476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 301
55.1%
1 245
44.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
301 
영업/정상
245 

Length

Max length5
Median length2
Mean length3.3461538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 301
55.1%
영업/정상 245
44.9%

Length

2024-05-11T14:28:55.050233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:55.260298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 301
55.1%
영업/정상 245
44.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2
301 
1
245 

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 (%)
2 301
55.1%
1 245
44.9%

Length

2024-05-11T14:28:55.515970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:55.696568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 301
55.1%
1 245
44.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
폐업
301 
영업
245 

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 301
55.1%
영업 245
44.9%

Length

2024-05-11T14:28:55.874117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:56.029581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 301
55.1%
영업 245
44.9%

폐업일자
Date

MISSING 

Distinct260
Distinct (%)86.4%
Missing245
Missing (%)44.9%
Memory size4.4 KiB
Minimum1997-09-01 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T14:28:56.208646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:56.431964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing546
Missing (%)100.0%
Memory size4.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing546
Missing (%)100.0%
Memory size4.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing546
Missing (%)100.0%
Memory size4.9 KiB

전화번호
Text

MISSING 

Distinct294
Distinct (%)94.8%
Missing236
Missing (%)43.2%
Memory size4.4 KiB
2024-05-11T14:28:56.791317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.474194
Min length2

Characters and Unicode

Total characters3247
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

Unique284 ?
Unique (%)91.6%

Sample

1st row02 2958793
2nd row02 2929946
3rd row02 4680091
4th row02 0
5th row02 4626925
ValueCountFrequency (%)
02 128
 
26.1%
070 22
 
4.5%
67479789 3
 
0.6%
025381014 2
 
0.4%
0222821921 2
 
0.4%
025176217 2
 
0.4%
0233909973 2
 
0.4%
34463775 2
 
0.4%
0222968800 2
 
0.4%
4669051 2
 
0.4%
Other values (320) 323
65.9%
2024-05-11T14:28:57.496250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 637
19.6%
2 568
17.5%
4 268
8.3%
254
 
7.8%
7 250
 
7.7%
1 240
 
7.4%
8 214
 
6.6%
9 212
 
6.5%
5 210
 
6.5%
6 203
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2993
92.2%
Space Separator 254
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 637
21.3%
2 568
19.0%
4 268
9.0%
7 250
 
8.4%
1 240
 
8.0%
8 214
 
7.2%
9 212
 
7.1%
5 210
 
7.0%
6 203
 
6.8%
3 191
 
6.4%
Space Separator
ValueCountFrequency (%)
254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 637
19.6%
2 568
17.5%
4 268
8.3%
254
 
7.8%
7 250
 
7.7%
1 240
 
7.4%
8 214
 
6.6%
9 212
 
6.5%
5 210
 
6.5%
6 203
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 637
19.6%
2 568
17.5%
4 268
8.3%
254
 
7.8%
7 250
 
7.7%
1 240
 
7.4%
8 214
 
6.6%
9 212
 
6.5%
5 210
 
6.5%
6 203
 
6.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct327
Distinct (%)64.0%
Missing35
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean61.432975
Minimum0
Maximum980.37
Zeros15
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T14:28:57.813545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.81
Q18.1
median31.58
Q372.4
95-th percentile234.59
Maximum980.37
Range980.37
Interquartile range (IQR)64.3

Descriptive statistics

Standard deviation100.33926
Coefficient of variation (CV)1.6333128
Kurtosis24.241062
Mean61.432975
Median Absolute Deviation (MAD)25.58
Skewness4.1755113
Sum31392.25
Variance10067.968
MonotonicityNot monotonic
2024-05-11T14:28:58.056764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 30
 
5.5%
33.0 15
 
2.7%
0.0 15
 
2.7%
6.6 12
 
2.2%
3.0 11
 
2.0%
20.0 11
 
2.0%
6.0 10
 
1.8%
10.0 10
 
1.8%
18.0 7
 
1.3%
5.0 7
 
1.3%
Other values (317) 383
70.1%
(Missing) 35
 
6.4%
ValueCountFrequency (%)
0.0 15
2.7%
1.0 1
 
0.2%
1.4 1
 
0.2%
1.44 1
 
0.2%
1.58 1
 
0.2%
1.65 3
 
0.5%
2.0 1
 
0.2%
2.25 1
 
0.2%
2.5 1
 
0.2%
2.64 1
 
0.2%
ValueCountFrequency (%)
980.37 1
0.2%
761.56 1
0.2%
600.0 1
0.2%
582.4 1
0.2%
562.79 1
0.2%
548.75 1
0.2%
498.0 1
0.2%
488.0 1
0.2%
389.2 1
0.2%
375.0 1
0.2%

소재지우편번호
Text

Distinct113
Distinct (%)20.7%
Missing1
Missing (%)0.2%
Memory size4.4 KiB
2024-05-11T14:28:58.490758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2715596
Min length6

Characters and Unicode

Total characters3418
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

Unique48 ?
Unique (%)8.8%

Sample

1st row133815
2nd row133814
3rd row133823
4th row133854
5th row133827
ValueCountFrequency (%)
133832 33
 
6.1%
133834 29
 
5.3%
133825 22
 
4.0%
133822 21
 
3.9%
133823 20
 
3.7%
133827 20
 
3.7%
133924 18
 
3.3%
133835 17
 
3.1%
133850 17
 
3.1%
133-832 16
 
2.9%
Other values (103) 332
60.9%
2024-05-11T14:28:58.996014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1340
39.2%
1 638
18.7%
8 526
 
15.4%
2 284
 
8.3%
- 148
 
4.3%
4 122
 
3.6%
5 102
 
3.0%
7 82
 
2.4%
0 78
 
2.3%
9 67
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3270
95.7%
Dash Punctuation 148
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1340
41.0%
1 638
19.5%
8 526
 
16.1%
2 284
 
8.7%
4 122
 
3.7%
5 102
 
3.1%
7 82
 
2.5%
0 78
 
2.4%
9 67
 
2.0%
6 31
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1340
39.2%
1 638
18.7%
8 526
 
15.4%
2 284
 
8.3%
- 148
 
4.3%
4 122
 
3.6%
5 102
 
3.0%
7 82
 
2.4%
0 78
 
2.3%
9 67
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1340
39.2%
1 638
18.7%
8 526
 
15.4%
2 284
 
8.3%
- 148
 
4.3%
4 122
 
3.6%
5 102
 
3.0%
7 82
 
2.4%
0 78
 
2.3%
9 67
 
2.0%

지번주소
Text

Distinct440
Distinct (%)80.7%
Missing1
Missing (%)0.2%
Memory size4.4 KiB
2024-05-11T14:28:59.314726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length26.291743
Min length16

Characters and Unicode

Total characters14329
Distinct characters266
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique383 ?
Unique (%)70.3%

Sample

1st row서울특별시 성동구 마장동 766-8
2nd row서울특별시 성동구 마장동 509-5
3rd row서울특별시 성동구 성수동1가 656-3
4th row서울특별시 성동구 하왕십리동 284-16
5th row서울특별시 성동구 성수동2가 320-5
ValueCountFrequency (%)
서울특별시 545
20.8%
성동구 544
20.7%
성수동2가 218
 
8.3%
성수동1가 150
 
5.7%
용답동 36
 
1.4%
행당동 26
 
1.0%
마장동 26
 
1.0%
도선동 21
 
0.8%
옥수동 17
 
0.6%
하왕십리동 14
 
0.5%
Other values (625) 1026
39.1%
2024-05-11T14:28:59.911341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2382
16.6%
동 1124
 
7.8%
성 959
 
6.7%
2 670
 
4.7%
1 602
 
4.2%
서 576
 
4.0%
울 574
 
4.0%
시 552
 
3.9%
특 545
 
3.8%
별 545
 
3.8%
Other values (256) 5800
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8114
56.6%
Decimal Number 3146
 
22.0%
Space Separator 2382
 
16.6%
Dash Punctuation 482
 
3.4%
Uppercase Letter 111
 
0.8%
Close Punctuation 35
 
0.2%
Open Punctuation 35
 
0.2%
Lowercase Letter 14
 
0.1%
Other Punctuation 8
 
0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1124
13.9%
성 959
11.8%
서 576
 
7.1%
울 574
 
7.1%
시 552
 
6.8%
특 545
 
6.7%
별 545
 
6.7%
구 545
 
6.7%
수 416
 
5.1%
가 396
 
4.9%
Other values (214) 1882
23.2%
Uppercase Letter
ValueCountFrequency (%)
T 17
15.3%
I 11
9.9%
K 11
9.9%
E 9
 
8.1%
C 8
 
7.2%
B 8
 
7.2%
S 6
 
5.4%
M 6
 
5.4%
D 6
 
5.4%
A 5
 
4.5%
Other values (9) 24
21.6%
Decimal Number
ValueCountFrequency (%)
2 670
21.3%
1 602
19.1%
3 333
10.6%
6 290
9.2%
7 269
8.6%
5 253
 
8.0%
0 218
 
6.9%
8 202
 
6.4%
4 180
 
5.7%
9 129
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
21.4%
r 3
21.4%
o 3
21.4%
w 3
21.4%
s 1
 
7.1%
k 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
/ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
2382
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 482
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8114
56.6%
Common 6088
42.5%
Latin 127
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1124
13.9%
성 959
11.8%
서 576
 
7.1%
울 574
 
7.1%
시 552
 
6.8%
특 545
 
6.7%
별 545
 
6.7%
구 545
 
6.7%
수 416
 
5.1%
가 396
 
4.9%
Other values (214) 1882
23.2%
Latin
ValueCountFrequency (%)
T 17
13.4%
I 11
 
8.7%
K 11
 
8.7%
E 9
 
7.1%
C 8
 
6.3%
B 8
 
6.3%
S 6
 
4.7%
M 6
 
4.7%
D 6
 
4.7%
A 5
 
3.9%
Other values (16) 40
31.5%
Common
ValueCountFrequency (%)
2382
39.1%
2 670
 
11.0%
1 602
 
9.9%
- 482
 
7.9%
3 333
 
5.5%
6 290
 
4.8%
7 269
 
4.4%
5 253
 
4.2%
0 218
 
3.6%
8 202
 
3.3%
Other values (6) 387
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8114
56.6%
ASCII 6213
43.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2382
38.3%
2 670
 
10.8%
1 602
 
9.7%
- 482
 
7.8%
3 333
 
5.4%
6 290
 
4.7%
7 269
 
4.3%
5 253
 
4.1%
0 218
 
3.5%
8 202
 
3.3%
Other values (31) 512
 
8.2%
Hangul
ValueCountFrequency (%)
동 1124
13.9%
성 959
11.8%
서 576
 
7.1%
울 574
 
7.1%
시 552
 
6.8%
특 545
 
6.7%
별 545
 
6.7%
구 545
 
6.7%
수 416
 
5.1%
가 396
 
4.9%
Other values (214) 1882
23.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

도로명주소
Text

MISSING 

Distinct450
Distinct (%)96.6%
Missing80
Missing (%)14.7%
Memory size4.4 KiB
2024-05-11T14:29:00.395584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length48
Mean length36.843348
Min length23

Characters and Unicode

Total characters17169
Distinct characters241
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique437 ?
Unique (%)93.8%

Sample

1st row서울특별시 성동구 천호대로 386, 3층 (용답동)
2nd row서울특별시 성동구 아차산로 38 (성수동1가)
3rd row서울특별시 성동구 성수일로4길 25, 서울숲코오롱디지털타워 2층 202호 (성수동2가)
4th row서울특별시 성동구 아차산로13길 48 (성수동2가,(지상1층))
5th row서울특별시 성동구 독서당로 441, 1층 12호 (행당동, 344, 상가동)
ValueCountFrequency (%)
서울특별시 466
 
14.2%
성동구 465
 
14.1%
성수동2가 187
 
5.7%
성수동1가 132
 
4.0%
2층 70
 
2.1%
1층 64
 
1.9%
4층 60
 
1.8%
3층 56
 
1.7%
왕십리로 38
 
1.2%
광나루로 31
 
0.9%
Other values (719) 1719
52.3%
2024-05-11T14:29:01.023192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2822
 
16.4%
동 1007
 
5.9%
성 912
 
5.3%
1 871
 
5.1%
2 619
 
3.6%
, 545
 
3.2%
서 530
 
3.1%
울 515
 
3.0%
시 477
 
2.8%
( 475
 
2.8%
Other values (231) 8396
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9382
54.6%
Decimal Number 3258
 
19.0%
Space Separator 2822
 
16.4%
Other Punctuation 545
 
3.2%
Open Punctuation 475
 
2.8%
Close Punctuation 475
 
2.8%
Uppercase Letter 104
 
0.6%
Dash Punctuation 95
 
0.6%
Lowercase Letter 11
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1007
 
10.7%
성 912
 
9.7%
서 530
 
5.6%
울 515
 
5.5%
시 477
 
5.1%
구 467
 
5.0%
별 466
 
5.0%
특 466
 
5.0%
수 443
 
4.7%
층 409
 
4.4%
Other values (188) 3690
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 18
17.3%
T 15
14.4%
I 10
9.6%
A 8
7.7%
E 7
 
6.7%
S 7
 
6.7%
K 7
 
6.7%
C 6
 
5.8%
R 5
 
4.8%
D 3
 
2.9%
Other values (10) 18
17.3%
Decimal Number
ValueCountFrequency (%)
1 871
26.7%
2 619
19.0%
3 356
10.9%
0 352
10.8%
4 250
 
7.7%
5 240
 
7.4%
6 172
 
5.3%
7 167
 
5.1%
8 157
 
4.8%
9 74
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
18.2%
e 2
18.2%
o 2
18.2%
w 2
18.2%
r 2
18.2%
k 1
9.1%
Space Separator
ValueCountFrequency (%)
2822
100.0%
Other Punctuation
ValueCountFrequency (%)
, 545
100.0%
Open Punctuation
ValueCountFrequency (%)
( 475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 475
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9382
54.6%
Common 7671
44.7%
Latin 116
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1007
 
10.7%
성 912
 
9.7%
서 530
 
5.6%
울 515
 
5.5%
시 477
 
5.1%
구 467
 
5.0%
별 466
 
5.0%
특 466
 
5.0%
수 443
 
4.7%
층 409
 
4.4%
Other values (188) 3690
39.3%
Latin
ValueCountFrequency (%)
B 18
15.5%
T 15
12.9%
I 10
 
8.6%
A 8
 
6.9%
E 7
 
6.0%
S 7
 
6.0%
K 7
 
6.0%
C 6
 
5.2%
R 5
 
4.3%
D 3
 
2.6%
Other values (17) 30
25.9%
Common
ValueCountFrequency (%)
2822
36.8%
1 871
 
11.4%
2 619
 
8.1%
, 545
 
7.1%
( 475
 
6.2%
) 475
 
6.2%
3 356
 
4.6%
0 352
 
4.6%
4 250
 
3.3%
5 240
 
3.1%
Other values (6) 666
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9382
54.6%
ASCII 7786
45.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2822
36.2%
1 871
 
11.2%
2 619
 
8.0%
, 545
 
7.0%
( 475
 
6.1%
) 475
 
6.1%
3 356
 
4.6%
0 352
 
4.5%
4 250
 
3.2%
5 240
 
3.1%
Other values (32) 781
 
10.0%
Hangul
ValueCountFrequency (%)
동 1007
 
10.7%
성 912
 
9.7%
서 530
 
5.6%
울 515
 
5.5%
시 477
 
5.1%
구 467
 
5.0%
별 466
 
5.0%
특 466
 
5.0%
수 443
 
4.7%
층 409
 
4.4%
Other values (188) 3690
39.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)17.5%
Missing82
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean4777.2478
Minimum4700
Maximum6616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T14:29:01.244251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4709
Q14768
median4782
Q34793
95-th percentile4802
Maximum6616
Range1916
Interquartile range (IQR)25

Descriptive statistics

Standard deviation90.158015
Coefficient of variation (CV)0.018872375
Kurtosis375.57364
Mean4777.2478
Median Absolute Deviation (MAD)12
Skewness18.347767
Sum2216643
Variance8128.4676
MonotonicityNot monotonic
2024-05-11T14:29:01.522618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4782 25
 
4.6%
4779 25
 
4.6%
4793 24
 
4.4%
4783 23
 
4.2%
4781 18
 
3.3%
4794 17
 
3.1%
4808 16
 
2.9%
4788 16
 
2.9%
4799 16
 
2.9%
4709 15
 
2.7%
Other values (71) 269
49.3%
(Missing) 82
 
15.0%
ValueCountFrequency (%)
4700 2
 
0.4%
4701 7
1.3%
4702 1
 
0.2%
4704 4
 
0.7%
4705 1
 
0.2%
4707 4
 
0.7%
4708 1
 
0.2%
4709 15
2.7%
4710 3
 
0.5%
4713 1
 
0.2%
ValueCountFrequency (%)
6616 1
 
0.2%
4808 16
2.9%
4805 4
 
0.7%
4804 1
 
0.2%
4803 1
 
0.2%
4802 8
1.5%
4800 4
 
0.7%
4799 16
2.9%
4798 10
1.8%
4797 10
1.8%

사업장명
Text

Distinct540
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T14:29:02.039892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length19
Mean length7.8113553
Min length1

Characters and Unicode

Total characters4265
Distinct characters480
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)97.8%

Sample

1st row정이축산
2nd row대용축산
3rd row(주)엘지유통
4th row보성냉동식품
5th row(주)시루식품
ValueCountFrequency (%)
주식회사 103
 
14.7%
주 8
 
1.1%
농업회사법인 5
 
0.7%
성수 3
 
0.4%
주)유화바이오텍 2
 
0.3%
고마운선물가게 2
 
0.3%
메가박스중앙(주 2
 
0.3%
구선손반 2
 
0.3%
레드홀릭 2
 
0.3%
food 2
 
0.3%
Other values (567) 571
81.3%
2024-05-11T14:29:02.809557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 325
 
7.6%
) 227
 
5.3%
( 225
 
5.3%
156
 
3.7%
이 145
 
3.4%
식 133
 
3.1%
스 127
 
3.0%
사 124
 
2.9%
회 118
 
2.8%
리 81
 
1.9%
Other values (470) 2604
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3506
82.2%
Close Punctuation 227
 
5.3%
Open Punctuation 225
 
5.3%
Space Separator 156
 
3.7%
Lowercase Letter 66
 
1.5%
Uppercase Letter 65
 
1.5%
Other Punctuation 10
 
0.2%
Decimal Number 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 325
 
9.3%
이 145
 
4.1%
식 133
 
3.8%
스 127
 
3.6%
사 124
 
3.5%
회 118
 
3.4%
리 81
 
2.3%
에 62
 
1.8%
트 59
 
1.7%
프 50
 
1.4%
Other values (421) 2282
65.1%
Uppercase Letter
ValueCountFrequency (%)
F 7
10.8%
L 6
 
9.2%
N 6
 
9.2%
S 6
 
9.2%
E 5
 
7.7%
O 5
 
7.7%
A 4
 
6.2%
D 4
 
6.2%
M 3
 
4.6%
I 3
 
4.6%
Other values (9) 16
24.6%
Lowercase Letter
ValueCountFrequency (%)
o 14
21.2%
e 8
12.1%
s 6
9.1%
l 6
9.1%
t 5
 
7.6%
d 5
 
7.6%
c 3
 
4.5%
n 3
 
4.5%
u 3
 
4.5%
y 2
 
3.0%
Other values (7) 11
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
0 2
20.0%
5 2
20.0%
4 1
 
10.0%
6 1
 
10.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
& 2
 
20.0%
, 2
 
20.0%
? 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Space Separator
ValueCountFrequency (%)
156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3506
82.2%
Common 628
 
14.7%
Latin 131
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 325
 
9.3%
이 145
 
4.1%
식 133
 
3.8%
스 127
 
3.6%
사 124
 
3.5%
회 118
 
3.4%
리 81
 
2.3%
에 62
 
1.8%
트 59
 
1.7%
프 50
 
1.4%
Other values (421) 2282
65.1%
Latin
ValueCountFrequency (%)
o 14
 
10.7%
e 8
 
6.1%
F 7
 
5.3%
L 6
 
4.6%
N 6
 
4.6%
s 6
 
4.6%
S 6
 
4.6%
l 6
 
4.6%
t 5
 
3.8%
E 5
 
3.8%
Other values (26) 62
47.3%
Common
ValueCountFrequency (%)
) 227
36.1%
( 225
35.8%
156
24.8%
. 5
 
0.8%
2 3
 
0.5%
0 2
 
0.3%
& 2
 
0.3%
, 2
 
0.3%
5 2
 
0.3%
4 1
 
0.2%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3506
82.2%
ASCII 759
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 325
 
9.3%
이 145
 
4.1%
식 133
 
3.8%
스 127
 
3.6%
사 124
 
3.5%
회 118
 
3.4%
리 81
 
2.3%
에 62
 
1.8%
트 59
 
1.7%
프 50
 
1.4%
Other values (421) 2282
65.1%
ASCII
ValueCountFrequency (%)
) 227
29.9%
( 225
29.6%
156
20.6%
o 14
 
1.8%
e 8
 
1.1%
F 7
 
0.9%
L 6
 
0.8%
N 6
 
0.8%
s 6
 
0.8%
S 6
 
0.8%
Other values (39) 98
12.9%

최종수정일자
Date

Distinct514
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1999-09-09 00:00:00
Maximum2024-05-09 13:26:55
2024-05-11T14:29:03.074190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:29:03.318332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
I
300 
U
246 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 300
54.9%
U 246
45.1%

Length

2024-05-11T14:29:03.535966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:03.683123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 300
54.9%
u 246
45.1%

데이터갱신일자
Date

Distinct329
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T14:29:03.839495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:29:04.096847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
유통전문판매업
546 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통전문판매업 546
100.0%

Length

2024-05-11T14:29:04.312812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:04.507163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 546
100.0%

좌표정보(X)
Real number (ℝ)

Distinct362
Distinct (%)66.9%
Missing5
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean204205.05
Minimum200951.21
Maximum206274.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T14:29:04.767346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200951.21
5-th percentile201915.08
Q1203732.02
median204404.6
Q3204966.1
95-th percentile205559.24
Maximum206274.22
Range5323.0156
Interquartile range (IQR)1234.0807

Descriptive statistics

Standard deviation1090.6908
Coefficient of variation (CV)0.0053411548
Kurtosis0.64048095
Mean204205.05
Median Absolute Deviation (MAD)609.84024
Skewness-0.95919878
Sum1.1047493 × 108
Variance1189606.3
MonotonicityNot monotonic
2024-05-11T14:29:05.014614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204167.721292495 13
 
2.4%
205039.907145725 11
 
2.0%
204764.658079784 11
 
2.0%
204966.098616157 9
 
1.6%
203887.185047227 8
 
1.5%
202372.912023599 7
 
1.3%
204287.426463329 7
 
1.3%
205014.436191811 6
 
1.1%
205266.060664976 6
 
1.1%
204743.677915464 6
 
1.1%
Other values (352) 457
83.7%
ValueCountFrequency (%)
200951.206580662 3
0.5%
200971.081407511 1
 
0.2%
201018.896469335 1
 
0.2%
201043.982310401 1
 
0.2%
201084.709621627 1
 
0.2%
201132.08093176 1
 
0.2%
201157.877298502 3
0.5%
201275.597124559 1
 
0.2%
201293.629904156 1
 
0.2%
201366.036667659 1
 
0.2%
ValueCountFrequency (%)
206274.222135317 1
0.2%
206257.200787792 1
0.2%
206209.280864162 1
0.2%
206180.186259158 1
0.2%
206082.948210911 1
0.2%
205948.345792507 1
0.2%
205924.040131611 1
0.2%
205921.703469803 1
0.2%
205869.831879948 1
0.2%
205837.640591417 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct362
Distinct (%)66.9%
Missing5
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean449677.95
Minimum443921.62
Maximum452126.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T14:29:05.620813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443921.62
5-th percentile448590.82
Q1449015.53
median449403.25
Q3449903.03
95-th percentile451545.25
Maximum452126.95
Range8205.3323
Interquartile range (IQR)887.50467

Descriptive statistics

Standard deviation979.75201
Coefficient of variation (CV)0.002178786
Kurtosis1.7652253
Mean449677.95
Median Absolute Deviation (MAD)441.91432
Skewness0.51179943
Sum2.4327577 × 108
Variance959914
MonotonicityNot monotonic
2024-05-11T14:29:05.810161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449290.778225677 13
 
2.4%
449216.223655036 11
 
2.0%
449437.628334972 11
 
2.0%
449159.452779834 9
 
1.6%
449860.057407228 8
 
1.5%
451536.680876573 7
 
1.3%
448770.592460467 7
 
1.3%
448961.208329966 6
 
1.1%
449587.73813698 6
 
1.1%
449357.9464135 6
 
1.1%
Other values (352) 457
83.7%
ValueCountFrequency (%)
443921.619035316 1
0.2%
448121.687172695 1
0.2%
448172.303922546 1
0.2%
448179.869576203 1
0.2%
448261.085328302 1
0.2%
448266.234571726 1
0.2%
448272.019031398 1
0.2%
448275.503583388 1
0.2%
448277.387756454 1
0.2%
448281.204367511 1
0.2%
ValueCountFrequency (%)
452126.951366987 1
0.2%
452113.499202093 2
0.4%
452063.440192474 2
0.4%
452041.559037331 1
0.2%
452041.324388638 1
0.2%
452019.132498433 1
0.2%
451988.812476724 1
0.2%
451982.297034715 1
0.2%
451938.391441696 1
0.2%
451921.295749475 1
0.2%

위생업태명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
유통전문판매업
317 
<NA>
229 

Length

Max length7
Median length7
Mean length5.7417582
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통전문판매업 317
58.1%
<NA> 229
41.9%

Length

2024-05-11T14:29:06.016754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:06.176315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 317
58.1%
na 229
41.9%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
469 
0
75 
1
 
2

Length

Max length4
Median length4
Mean length3.5769231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 469
85.9%
0 75
 
13.7%
1 2
 
0.4%

Length

2024-05-11T14:29:06.366569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:06.511492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 469
85.9%
0 75
 
13.7%
1 2
 
0.4%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
469 
0
73 
1
 
4

Length

Max length4
Median length4
Mean length3.5769231
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 469
85.9%
0 73
 
13.4%
1 4
 
0.7%

Length

2024-05-11T14:29:06.676064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:06.825495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 469
85.9%
0 73
 
13.4%
1 4
 
0.7%

영업장주변구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
513 
기타
 
16
주택가주변
 
14
아파트지역
 
3

Length

Max length5
Median length4
Mean length3.9725275
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 513
94.0%
기타 16
 
2.9%
주택가주변 14
 
2.6%
아파트지역 3
 
0.5%

Length

2024-05-11T14:29:07.021246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:07.210937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 513
94.0%
기타 16
 
2.9%
주택가주변 14
 
2.6%
아파트지역 3
 
0.5%

등급구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
513 
기타
 
21
자율
 
11
갑
 
1

Length

Max length4
Median length4
Mean length3.8772894
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 513
94.0%
기타 21
 
3.8%
자율 11
 
2.0%
갑 1
 
0.2%

Length

2024-05-11T14:29:07.391569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:07.569772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 513
94.0%
기타 21
 
3.8%
자율 11
 
2.0%
갑 1
 
0.2%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
485 
상수도전용
61 

Length

Max length5
Median length4
Mean length4.1117216
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 485
88.8%
상수도전용 61
 
11.2%

Length

2024-05-11T14:29:07.752355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:07.920946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
88.8%
상수도전용 61
 
11.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
487 
0
59 

Length

Max length4
Median length4
Mean length3.6758242
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> 487
89.2%
0 59
 
10.8%

Length

2024-05-11T14:29:08.119115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:08.306616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 487
89.2%
0 59
 
10.8%

본사종업원수
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
418 
0
127 
5
 
1

Length

Max length4
Median length4
Mean length3.2967033
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
76.6%
0 127
 
23.3%
5 1
 
0.2%

Length

2024-05-11T14:29:08.481569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:08.649603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
76.6%
0 127
 
23.3%
5 1
 
0.2%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
418 
0
128 

Length

Max length4
Median length4
Mean length3.2967033
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
76.6%
0 128
 
23.4%

Length

2024-05-11T14:29:08.811532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:08.971202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
76.6%
0 128
 
23.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
418 
0
128 

Length

Max length4
Median length4
Mean length3.2967033
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
76.6%
0 128
 
23.4%

Length

2024-05-11T14:29:09.151742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:09.320709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
76.6%
0 128
 
23.4%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
418 
0
128 

Length

Max length4
Median length4
Mean length3.2967033
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
76.6%
0 128
 
23.4%

Length

2024-05-11T14:29:09.525777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:09.681194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
76.6%
0 128
 
23.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
319 
자가
184 
임대
43 

Length

Max length4
Median length4
Mean length3.1684982
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> 319
58.4%
자가 184
33.7%
임대 43
 
7.9%

Length

2024-05-11T14:29:09.874589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:10.050344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 319
58.4%
자가 184
33.7%
임대 43
 
7.9%

보증액
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
485 
0
61 

Length

Max length4
Median length4
Mean length3.6648352
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> 485
88.8%
0 61
 
11.2%

Length

2024-05-11T14:29:10.235010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:10.403816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
88.8%
0 61
 
11.2%

월세액
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
485 
0
61 

Length

Max length4
Median length4
Mean length3.6648352
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> 485
88.8%
0 61
 
11.2%

Length

2024-05-11T14:29:10.577493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:10.757996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 485
88.8%
0 61
 
11.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing229
Missing (%)41.9%
Memory size1.2 KiB
False
317 
(Missing)
229 
ValueCountFrequency (%)
False 317
58.1%
(Missing) 229
41.9%
2024-05-11T14:29:10.935575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
0.0
313 
<NA>
229 
61.8
 
1
52.8
 
1
6.0
 
1

Length

Max length6
Median length3
Mean length3.4285714
Min length3

Unique

Unique4 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 313
57.3%
<NA> 229
41.9%
61.8 1
 
0.2%
52.8 1
 
0.2%
6.0 1
 
0.2%
152.65 1
 
0.2%

Length

2024-05-11T14:29:11.085962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:11.253661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 313
57.3%
na 229
41.9%
61.8 1
 
0.2%
52.8 1
 
0.2%
6.0 1
 
0.2%
152.65 1
 
0.2%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing546
Missing (%)100.0%
Memory size4.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing546
Missing (%)100.0%
Memory size4.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing546
Missing (%)100.0%
Memory size4.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-113-1992-0047019920407<NA>3폐업2폐업20001005<NA><NA><NA>02 29587930.0133815서울특별시 성동구 마장동 766-8<NA><NA>정이축산2001-09-25 00:00:00I2018-08-31 23:59:59.0유통전문판매업203556.370098451853.457378유통전문판매업01기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130300003030000-113-1992-0049919920407<NA>3폐업2폐업20001005<NA><NA><NA>02 29299460.0133814서울특별시 성동구 마장동 509-5<NA><NA>대용축산2001-09-25 00:00:00I2018-08-31 23:59:59.0유통전문판매업203335.294725451982.297035유통전문판매업01기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230300003030000-113-1994-0049719941006<NA>3폐업2폐업19981120<NA><NA><NA>02 46800910.0133823서울특별시 성동구 성수동1가 656-3<NA><NA>(주)엘지유통2001-09-25 00:00:00I2018-08-31 23:59:59.0유통전문판매업203924.802039448934.858771유통전문판매업<NA><NA>주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330300003030000-113-1996-0046919960610<NA>3폐업2폐업19970901<NA><NA><NA>02 00.0133854서울특별시 성동구 하왕십리동 284-16<NA><NA>보성냉동식품2001-09-25 00:00:00I2018-08-31 23:59:59.0유통전문판매업<NA><NA>유통전문판매업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430300003030000-113-1996-0047119960909<NA>3폐업2폐업20070529<NA><NA><NA>02 462692581.7133827서울특별시 성동구 성수동2가 320-5<NA><NA>(주)시루식품2001-11-28 00:00:00I2018-08-31 23:59:59.0유통전문판매업204861.693118448820.614411유통전문판매업<NA><NA>기타자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530300003030000-113-1996-0047219960906<NA>3폐업2폐업20030326<NA><NA><NA>02 212227738.22133848서울특별시 성동구 용답동 60-4<NA><NA>궁실식품(주)2001-11-28 00:00:00I2018-08-31 23:59:59.0유통전문판매업204613.296899451421.227892유통전문판매업<NA><NA>기타자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630300003030000-113-1996-0049819960513<NA>3폐업2폐업20060309<NA><NA><NA>02 465763084.75133833서울특별시 성동구 성수동2가 284-110<NA><NA>(주)건풍건강2001-11-28 00:00:00I2018-08-31 23:59:59.0유통전문판매업<NA><NA>유통전문판매업<NA><NA>기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730300003030000-113-1997-0047319970127<NA>3폐업2폐업19981216<NA><NA><NA>02 46381310.0133832서울특별시 성동구 성수동2가 277-58<NA><NA>영진약품공업주식회산2001-09-25 00:00:00I2018-08-31 23:59:59.0유통전문판매업205225.383955449060.959727유통전문판매업<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830300003030000-113-1997-0047419970428<NA>3폐업2폐업20020131<NA><NA><NA>02 299760048.0133815서울특별시 성동구 마장동 766-35<NA><NA>미원농장2001-11-28 00:00:00I2018-08-31 23:59:59.0유통전문판매업203524.499833451801.028031유통전문판매업<NA><NA>기타자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
930300003030000-113-1997-0047519970912<NA>3폐업2폐업20100216<NA><NA><NA>02 297822532.4133845서울특별시 성동구 옥수동 518-32<NA><NA>한신훼미리2001-11-28 00:00:00I2018-08-31 23:59:59.0유통전문판매업<NA><NA>유통전문판매업<NA><NA>주택가주변자율상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
53630300003030000-113-2024-000062024-01-23<NA>1영업/정상1영업<NA><NA><NA><NA>070 8098756415.08133-835서울특별시 성동구 성수동2가 301-99서울특별시 성동구 연무장3길 3, 1층 (성수동2가)4782뉴믹스커피2024-01-23 11:26:36I2023-11-30 22:05:00.0유통전문판매업204461.189743449081.133364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53730300003030000-113-2024-000072024-01-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>43.4133-832서울특별시 성동구 성수동2가 281-12 에딘버그골프연습장서울특별시 성동구 광나루로 320-1, 1층 (성수동2가)4799신의 한 국수2024-01-24 10:40:40I2023-11-30 22:06:00.0유통전문판매업205710.511071449519.091217<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53830300003030000-113-2024-000092024-02-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA>36.0133-844서울특별시 성동구 옥수동 428 옥수동극동아파트서울특별시 성동구 독서당로 187, 옥수동극동아파트 상가동 5층 502호 (옥수동)4732쏠쏠 ssoulsseoul2024-02-13 11:27:30I2023-12-01 23:05:00.0유통전문판매업200951.206581449000.920062<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53930300003030000-113-2024-000102024-03-14<NA>1영업/정상1영업<NA><NA><NA><NA>02 22051125145.46133-833서울특별시 성동구 성수동2가 284-68 창미빌딩서울특별시 성동구 성수일로10길 32, 창미빌딩 3층 307호 (성수동2가)4793(주)하나누엘2024-03-14 17:00:58I2023-12-02 23:06:00.0유통전문판매업204657.420622449324.025053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54030300003030000-113-2024-000112024-03-27<NA>1영업/정상1영업<NA><NA><NA><NA>050 6814758278.0133-924서울특별시 성동구 성수동1가 656-1047 라현빌딩서울특별시 성동구 왕십리로 110, 라현빌딩 3층 (성수동1가)4778주식회사 에스비퓨쳐스2024-03-27 12:46:08I2023-12-02 22:09:00.0유통전문판매업203889.052981449466.396546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54130300003030000-113-2024-000122024-04-17<NA>1영업/정상1영업<NA><NA><NA><NA><NA>5.0133-835서울특별시 성동구 성수동2가 314-13 성수역 현대테라스타워서울특별시 성동구 연무장5가길 7, 성수역 현대테라스타워 1층 113호 (성수동2가)4782그로위드2024-04-17 11:34:57I2023-12-03 23:09:00.0유통전문판매업204669.766219449087.756734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54230300003030000-113-2024-000132024-04-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>84.97133-804서울특별시 성동구 금호동2가 1215 금호자이1차서울특별시 성동구 금호로 117, 104동 2004호 (금호동2가, 금호자이1차)4728(주)메디앤케어2024-04-24 16:05:03I2023-12-03 22:06:00.0유통전문판매업201914.222823450063.478301<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54330300003030000-113-2024-000142024-04-24<NA>1영업/정상1영업<NA><NA><NA><NA><NA>1.0133-822서울특별시 성동구 성수동1가 13-316서울특별시 성동구 상원6길 8, 지1층 D42호 (성수동1가)4790주식회사 킬나잇2024-04-24 17:07:34I2023-12-03 22:06:00.0유통전문판매업204266.812337449591.700028<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54430300003030000-113-2024-000152024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA>02 6952717233.0133-819서울특별시 성동구 성수동1가 27-16서울특별시 성동구 성수일로 28, 4층 401호 (성수동1가)4780퍼널연구소2024-04-30 14:45:51I2023-12-05 00:02:00.0유통전문판매업204286.871229448964.841565<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
54530300003030000-113-2024-000162024-04-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>70.07133-832서울특별시 성동구 성수동2가 277-17 성수아카데미타워서울특별시 성동구 성수이로 118, 성수아카데미타워 9층 922호 (성수동2가)4797(주)고려생활건강2024-04-30 15:45:30I2023-12-05 00:02:00.0유통전문판매업205039.907146449216.223655<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>