Overview

Dataset statistics

Number of variables44
Number of observations37
Missing cells358
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory379.6 B

Variable types

Categorical21
Text7
DateTime3
Unsupported8
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-18319/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
여성종사자수 is highly imbalanced (57.8%)Imbalance
보증액 is highly imbalanced (77.4%)Imbalance
월세액 is highly imbalanced (77.4%)Imbalance
시설총규모 is highly imbalanced (50.4%)Imbalance
인허가취소일자 has 37 (100.0%) missing valuesMissing
폐업일자 has 14 (37.8%) missing valuesMissing
휴업시작일자 has 37 (100.0%) missing valuesMissing
휴업종료일자 has 37 (100.0%) missing valuesMissing
재개업일자 has 37 (100.0%) missing valuesMissing
전화번호 has 6 (16.2%) missing valuesMissing
도로명주소 has 15 (40.5%) missing valuesMissing
도로명우편번호 has 15 (40.5%) missing valuesMissing
좌표정보(X) has 3 (8.1%) missing valuesMissing
좌표정보(Y) has 3 (8.1%) missing valuesMissing
총인원 has 37 (100.0%) missing valuesMissing
다중이용업소여부 has 6 (16.2%) missing valuesMissing
전통업소지정번호 has 37 (100.0%) missing valuesMissing
전통업소주된음식 has 37 (100.0%) missing valuesMissing
홈페이지 has 37 (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
총인원 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

Reproduction

Analysis started2024-05-11 08:04:09.357862
Analysis finished2024-05-11 08:04:09.968753
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
3170000
37 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 37
100.0%

Length

2024-05-11T17:04:10.035546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:10.136365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 37
100.0%

관리번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T17:04:10.327749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters814
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

Unique37 ?
Unique (%)100.0%

Sample

1st row3170000-114-1996-00300
2nd row3170000-114-1996-00301
3rd row3170000-114-1996-00302
4th row3170000-114-1997-00383
5th row3170000-114-1998-00303
ValueCountFrequency (%)
3170000-114-1996-00300 1
 
2.7%
3170000-114-2008-00002 1
 
2.7%
3170000-114-2009-00002 1
 
2.7%
3170000-114-2011-00001 1
 
2.7%
3170000-114-2012-00001 1
 
2.7%
3170000-114-2013-00001 1
 
2.7%
3170000-114-2014-00001 1
 
2.7%
3170000-114-2014-00002 1
 
2.7%
3170000-114-2014-00003 1
 
2.7%
3170000-114-2015-00001 1
 
2.7%
Other values (27) 27
73.0%
2024-05-11T17:04:10.697697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 326
40.0%
1 154
18.9%
- 111
 
13.6%
3 53
 
6.5%
4 43
 
5.3%
7 41
 
5.0%
2 41
 
5.0%
9 25
 
3.1%
8 10
 
1.2%
5 6
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 703
86.4%
Dash Punctuation 111
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 326
46.4%
1 154
21.9%
3 53
 
7.5%
4 43
 
6.1%
7 41
 
5.8%
2 41
 
5.8%
9 25
 
3.6%
8 10
 
1.4%
5 6
 
0.9%
6 4
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 326
40.0%
1 154
18.9%
- 111
 
13.6%
3 53
 
6.5%
4 43
 
5.3%
7 41
 
5.0%
2 41
 
5.0%
9 25
 
3.1%
8 10
 
1.2%
5 6
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 326
40.0%
1 154
18.9%
- 111
 
13.6%
3 53
 
6.5%
4 43
 
5.3%
7 41
 
5.0%
2 41
 
5.0%
9 25
 
3.1%
8 10
 
1.2%
5 6
 
0.7%

인허가일자
Date

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum1996-06-28 00:00:00
Maximum2020-05-29 00:00:00
2024-05-11T17:04:10.866562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:11.337728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
3
23 
1
14 

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 23
62.2%
1 14
37.8%

Length

2024-05-11T17:04:11.505956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:11.631362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 23
62.2%
1 14
37.8%

영업상태명
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
폐업
23 
영업/정상
14 

Length

Max length5
Median length2
Mean length3.1351351
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 23
62.2%
영업/정상 14
37.8%

Length

2024-05-11T17:04:11.753749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:11.871943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
62.2%
영업/정상 14
37.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
2
23 
1
14 

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 23
62.2%
1 14
37.8%

Length

2024-05-11T17:04:11.986451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:12.084107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 23
62.2%
1 14
37.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
폐업
23 
영업
14 

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 23
62.2%
영업 14
37.8%

Length

2024-05-11T17:04:12.192387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:12.305303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 23
62.2%
영업 14
37.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing14
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean20080217
Minimum19980116
Maximum20200203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T17:04:12.428176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980116
5-th percentile19982924
Q120020572
median20080128
Q320150316
95-th percentile20169324
Maximum20200203
Range220087
Interquartile range (IQR)129743.5

Descriptive statistics

Standard deviation65817.83
Coefficient of variation (CV)0.003277745
Kurtosis-1.1673452
Mean20080217
Median Absolute Deviation (MAD)59902
Skewness0.15890226
Sum4.6184498 × 108
Variance4.3319868 × 109
MonotonicityNot monotonic
2024-05-11T17:04:12.571165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20020226 2
 
5.4%
20070507 1
 
2.7%
20200203 1
 
2.7%
20170224 1
 
2.7%
20150326 1
 
2.7%
20151130 1
 
2.7%
20120905 1
 
2.7%
20150306 1
 
2.7%
20161221 1
 
2.7%
20081120 1
 
2.7%
Other values (12) 12
32.4%
(Missing) 14
37.8%
ValueCountFrequency (%)
19980116 1
2.7%
19980903 1
2.7%
20001115 1
2.7%
20010723 1
2.7%
20020226 2
5.4%
20020919 1
2.7%
20041125 1
2.7%
20050307 1
2.7%
20060420 1
2.7%
20070507 1
2.7%
ValueCountFrequency (%)
20200203 1
2.7%
20170224 1
2.7%
20161221 1
2.7%
20151130 1
2.7%
20151123 1
2.7%
20150326 1
2.7%
20150306 1
2.7%
20120905 1
2.7%
20090707 1
2.7%
20081120 1
2.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing6
Missing (%)16.2%
Memory size428.0 B
2024-05-11T17:04:12.767995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.451613
Min length10

Characters and Unicode

Total characters324
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

Unique31 ?
Unique (%)100.0%

Sample

1st row02 8927799
2nd row02 4400783
3rd row02 8645000
4th row02 8045757
5th row02 8058866
ValueCountFrequency (%)
02 30
44.8%
851 2
 
3.0%
891 2
 
3.0%
8927799 1
 
1.5%
8922341 1
 
1.5%
8059065 1
 
1.5%
8963336 1
 
1.5%
8933650 1
 
1.5%
2351 1
 
1.5%
8957 1
 
1.5%
Other values (26) 26
38.8%
2024-05-11T17:04:13.130934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
21.3%
43
13.3%
2 42
13.0%
8 42
13.0%
5 26
 
8.0%
9 24
 
7.4%
6 20
 
6.2%
1 18
 
5.6%
3 15
 
4.6%
4 13
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 281
86.7%
Space Separator 43
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
24.6%
2 42
14.9%
8 42
14.9%
5 26
 
9.3%
9 24
 
8.5%
6 20
 
7.1%
1 18
 
6.4%
3 15
 
5.3%
4 13
 
4.6%
7 12
 
4.3%
Space Separator
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
21.3%
43
13.3%
2 42
13.0%
8 42
13.0%
5 26
 
8.0%
9 24
 
7.4%
6 20
 
6.2%
1 18
 
5.6%
3 15
 
4.6%
4 13
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
21.3%
43
13.3%
2 42
13.0%
8 42
13.0%
5 26
 
8.0%
9 24
 
7.4%
6 20
 
6.2%
1 18
 
5.6%
3 15
 
4.6%
4 13
 
4.0%

소재지면적
Text

Distinct32
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T17:04:13.376727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.1621622
Min length3

Characters and Unicode

Total characters228
Distinct characters12
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

Unique28 ?
Unique (%)75.7%

Sample

1st row.00
2nd row320.46
3rd row.00
4th row641.61
5th row770.36
ValueCountFrequency (%)
00 3
 
8.1%
544.97 2
 
5.4%
337.70 2
 
5.4%
376.40 2
 
5.4%
726.05 1
 
2.7%
7,313.00 1
 
2.7%
1,068.40 1
 
2.7%
481.22 1
 
2.7%
320.46 1
 
2.7%
1751.00 1
 
2.7%
Other values (22) 22
59.5%
2024-05-11T17:04:13.787064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
18.0%
. 37
16.2%
3 23
10.1%
4 22
9.6%
7 18
7.9%
1 18
7.9%
8 16
 
7.0%
6 14
 
6.1%
5 13
 
5.7%
2 12
 
5.3%
Other values (2) 14
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 185
81.1%
Other Punctuation 43
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
22.2%
3 23
12.4%
4 22
11.9%
7 18
9.7%
1 18
9.7%
8 16
 
8.6%
6 14
 
7.6%
5 13
 
7.0%
2 12
 
6.5%
9 8
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 37
86.0%
, 6
 
14.0%

Most occurring scripts

ValueCountFrequency (%)
Common 228
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
18.0%
. 37
16.2%
3 23
10.1%
4 22
9.6%
7 18
7.9%
1 18
7.9%
8 16
 
7.0%
6 14
 
6.1%
5 13
 
5.7%
2 12
 
5.3%
Other values (2) 14
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 228
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
18.0%
. 37
16.2%
3 23
10.1%
4 22
9.6%
7 18
7.9%
1 18
7.9%
8 16
 
7.0%
6 14
 
6.1%
5 13
 
5.7%
2 12
 
5.3%
Other values (2) 14
 
6.1%

소재지우편번호
Text

Distinct23
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T17:04:13.996222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1081081
Min length6

Characters and Unicode

Total characters226
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

Unique14 ?
Unique (%)37.8%

Sample

1st row153858
2nd row153831
3rd row153820
4th row153859
5th row153856
ValueCountFrequency (%)
153858 3
 
8.1%
153856 3
 
8.1%
153825 3
 
8.1%
153831 3
 
8.1%
153801 3
 
8.1%
153784 2
 
5.4%
153841 2
 
5.4%
153859 2
 
5.4%
153820 2
 
5.4%
153-813 1
 
2.7%
Other values (13) 13
35.1%
2024-05-11T17:04:14.379453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 50
22.1%
5 49
21.7%
3 48
21.2%
8 37
16.4%
0 11
 
4.9%
4 8
 
3.5%
6 6
 
2.7%
2 6
 
2.7%
7 5
 
2.2%
- 4
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
98.2%
Dash Punctuation 4
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 50
22.5%
5 49
22.1%
3 48
21.6%
8 37
16.7%
0 11
 
5.0%
4 8
 
3.6%
6 6
 
2.7%
2 6
 
2.7%
7 5
 
2.3%
9 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 226
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 50
22.1%
5 49
21.7%
3 48
21.2%
8 37
16.4%
0 11
 
4.9%
4 8
 
3.5%
6 6
 
2.7%
2 6
 
2.7%
7 5
 
2.2%
- 4
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 50
22.1%
5 49
21.7%
3 48
21.2%
8 37
16.4%
0 11
 
4.9%
4 8
 
3.5%
6 6
 
2.7%
2 6
 
2.7%
7 5
 
2.2%
- 4
 
1.8%

지번주소
Text

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T17:04:14.654484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length34
Mean length27.864865
Min length18

Characters and Unicode

Total characters1031
Distinct characters98
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

Unique35 ?
Unique (%)94.6%

Sample

1st row서울특별시 금천구 시흥동 886-16
2nd row서울특별시 금천구 독산동 1038-28
3rd row서울특별시 금천구 독산동 899-6
4th row서울특별시 금천구 시흥동 912-20 [금천로 117]
5th row서울특별시 금천구 시흥동 850-6
ValueCountFrequency (%)
서울특별시 37
19.2%
금천구 37
19.2%
시흥동 18
 
9.3%
독산동 14
 
7.3%
가산동 5
 
2.6%
지하1층 3
 
1.6%
상가동 2
 
1.0%
관악우방아파트 2
 
1.0%
1011 2
 
1.0%
60-27 2
 
1.0%
Other values (61) 71
36.8%
2024-05-11T17:04:15.085258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
18.3%
시 55
 
5.3%
1 51
 
4.9%
동 42
 
4.1%
금 41
 
4.0%
천 41
 
4.0%
울 38
 
3.7%
서 37
 
3.6%
특 37
 
3.6%
별 37
 
3.6%
Other values (88) 463
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
53.9%
Decimal Number 221
 
21.4%
Space Separator 189
 
18.3%
Dash Punctuation 33
 
3.2%
Close Punctuation 12
 
1.2%
Open Punctuation 12
 
1.2%
Other Punctuation 6
 
0.6%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 55
 
9.9%
동 42
 
7.6%
금 41
 
7.4%
천 41
 
7.4%
울 38
 
6.8%
서 37
 
6.7%
특 37
 
6.7%
별 37
 
6.7%
구 37
 
6.7%
산 25
 
4.5%
Other values (68) 166
29.9%
Decimal Number
ValueCountFrequency (%)
1 51
23.1%
0 30
13.6%
2 26
11.8%
8 25
11.3%
9 21
9.5%
7 16
 
7.2%
6 15
 
6.8%
4 15
 
6.8%
3 12
 
5.4%
5 10
 
4.5%
Close Punctuation
ValueCountFrequency (%)
] 8
66.7%
) 4
33.3%
Open Punctuation
ValueCountFrequency (%)
[ 8
66.7%
( 4
33.3%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
: 2
33.3%
Space Separator
ValueCountFrequency (%)
189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
53.9%
Common 474
46.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 55
 
9.9%
동 42
 
7.6%
금 41
 
7.4%
천 41
 
7.4%
울 38
 
6.8%
서 37
 
6.7%
특 37
 
6.7%
별 37
 
6.7%
구 37
 
6.7%
산 25
 
4.5%
Other values (68) 166
29.9%
Common
ValueCountFrequency (%)
189
39.9%
1 51
 
10.8%
- 33
 
7.0%
0 30
 
6.3%
2 26
 
5.5%
8 25
 
5.3%
9 21
 
4.4%
7 16
 
3.4%
6 15
 
3.2%
4 15
 
3.2%
Other values (9) 53
 
11.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
53.9%
ASCII 475
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
39.8%
1 51
 
10.7%
- 33
 
6.9%
0 30
 
6.3%
2 26
 
5.5%
8 25
 
5.3%
9 21
 
4.4%
7 16
 
3.4%
6 15
 
3.2%
4 15
 
3.2%
Other values (10) 54
 
11.4%
Hangul
ValueCountFrequency (%)
시 55
 
9.9%
동 42
 
7.6%
금 41
 
7.4%
천 41
 
7.4%
울 38
 
6.8%
서 37
 
6.7%
특 37
 
6.7%
별 37
 
6.7%
구 37
 
6.7%
산 25
 
4.5%
Other values (68) 166
29.9%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing15
Missing (%)40.5%
Memory size428.0 B
2024-05-11T17:04:15.370097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length38.5
Mean length35.954545
Min length23

Characters and Unicode

Total characters791
Distinct characters100
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 금천구 두산로 71 (독산동,[두산길 18])
2nd row서울특별시 금천구 시흥대로 201 (시흥동, 홈플러스 시흥점)
3rd row서울특별시 금천구 시흥대로 391 (독산동,홈플러스금천점 지상2층)
4th row서울특별시 금천구 금하로 705 (시흥동,(지하1층)[금천로 132])
5th row서울특별시 금천구 독산로 109 (시흥동,[독산동길 260])
ValueCountFrequency (%)
서울특별시 22
 
15.2%
금천구 22
 
15.2%
시흥동 9
 
6.2%
금하로 7
 
4.8%
독산동 5
 
3.4%
지하1층 4
 
2.8%
시흥대로 3
 
2.1%
독산로 3
 
2.1%
가산동 2
 
1.4%
648 2
 
1.4%
Other values (61) 66
45.5%
2024-05-11T17:04:15.872496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
 
15.5%
시 39
 
4.9%
1 35
 
4.4%
금 32
 
4.0%
동 27
 
3.4%
, 27
 
3.4%
천 25
 
3.2%
로 24
 
3.0%
) 23
 
2.9%
울 23
 
2.9%
Other values (90) 413
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
57.9%
Space Separator 123
 
15.5%
Decimal Number 123
 
15.5%
Other Punctuation 31
 
3.9%
Close Punctuation 27
 
3.4%
Open Punctuation 27
 
3.4%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 39
 
8.5%
금 32
 
7.0%
동 27
 
5.9%
천 25
 
5.5%
로 24
 
5.2%
울 23
 
5.0%
서 22
 
4.8%
특 22
 
4.8%
구 22
 
4.8%
별 22
 
4.8%
Other values (71) 200
43.7%
Decimal Number
ValueCountFrequency (%)
1 35
28.5%
0 18
14.6%
2 16
13.0%
6 10
 
8.1%
3 9
 
7.3%
4 9
 
7.3%
8 8
 
6.5%
7 8
 
6.5%
9 5
 
4.1%
5 5
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 27
87.1%
. 4
 
12.9%
Close Punctuation
ValueCountFrequency (%)
) 23
85.2%
] 4
 
14.8%
Open Punctuation
ValueCountFrequency (%)
( 23
85.2%
[ 4
 
14.8%
Space Separator
ValueCountFrequency (%)
123
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
57.9%
Common 332
42.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 39
 
8.5%
금 32
 
7.0%
동 27
 
5.9%
천 25
 
5.5%
로 24
 
5.2%
울 23
 
5.0%
서 22
 
4.8%
특 22
 
4.8%
구 22
 
4.8%
별 22
 
4.8%
Other values (71) 200
43.7%
Common
ValueCountFrequency (%)
123
37.0%
1 35
 
10.5%
, 27
 
8.1%
) 23
 
6.9%
( 23
 
6.9%
0 18
 
5.4%
2 16
 
4.8%
6 10
 
3.0%
3 9
 
2.7%
4 9
 
2.7%
Other values (8) 39
 
11.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
57.9%
ASCII 333
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
36.9%
1 35
 
10.5%
, 27
 
8.1%
) 23
 
6.9%
( 23
 
6.9%
0 18
 
5.4%
2 16
 
4.8%
6 10
 
3.0%
3 9
 
2.7%
4 9
 
2.7%
Other values (9) 40
 
12.0%
Hangul
ValueCountFrequency (%)
시 39
 
8.5%
금 32
 
7.0%
동 27
 
5.9%
천 25
 
5.5%
로 24
 
5.2%
울 23
 
5.0%
서 22
 
4.8%
특 22
 
4.8%
구 22
 
4.8%
별 22
 
4.8%
Other values (71) 200
43.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing15
Missing (%)40.5%
Infinite0
Infinite (%)0.0%
Mean8590.1818
Minimum8511
Maximum8656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T17:04:16.037009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8511
5-th percentile8513.55
Q18545
median8596
Q38635.75
95-th percentile8648.8
Maximum8656
Range145
Interquartile range (IQR)90.75

Descriptive statistics

Standard deviation50.613038
Coefficient of variation (CV)0.0058919636
Kurtosis-1.6132873
Mean8590.1818
Median Absolute Deviation (MAD)48
Skewness-0.20761749
Sum188984
Variance2561.6797
MonotonicityNot monotonic
2024-05-11T17:04:16.171502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8645 2
 
5.4%
8559 2
 
5.4%
8628 2
 
5.4%
8625 1
 
2.7%
8644 1
 
2.7%
8543 1
 
2.7%
8529 1
 
2.7%
8649 1
 
2.7%
8573 1
 
2.7%
8632 1
 
2.7%
Other values (9) 9
24.3%
(Missing) 15
40.5%
ValueCountFrequency (%)
8511 1
2.7%
8513 1
2.7%
8524 1
2.7%
8529 1
2.7%
8543 1
2.7%
8544 1
2.7%
8548 1
2.7%
8559 2
5.4%
8573 1
2.7%
8584 1
2.7%
ValueCountFrequency (%)
8656 1
2.7%
8649 1
2.7%
8645 2
5.4%
8644 1
2.7%
8637 1
2.7%
8632 1
2.7%
8628 2
5.4%
8625 1
2.7%
8608 1
2.7%
8584 1
2.7%

사업장명
Text

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-05-11T17:04:16.423748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.9189189
Min length3

Characters and Unicode

Total characters330
Distinct characters110
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)94.6%

Sample

1st row(주)대신마트
2nd row(주)해태유통
3rd row(주)진로하이퍼마트독산점
4th row올마트
5th row여러분유통(주)2002마트
ValueCountFrequency (%)
하모니마트 3
 
6.1%
시흥점 3
 
6.1%
한국유통 2
 
4.1%
산들식자재마트 1
 
2.0%
가산점 1
 
2.0%
금천시흥점 1
 
2.0%
사랑마트 1
 
2.0%
주)대명할인마트 1
 
2.0%
주)대신마트 1
 
2.0%
롯데쇼핑(주)롯데마트 1
 
2.0%
Other values (34) 34
69.4%
2024-05-11T17:04:16.839646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 26
 
7.9%
트 23
 
7.0%
) 19
 
5.8%
( 18
 
5.5%
주 17
 
5.2%
점 12
 
3.6%
12
 
3.6%
인 5
 
1.5%
할 5
 
1.5%
통 5
 
1.5%
Other values (100) 188
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
81.2%
Close Punctuation 19
 
5.8%
Open Punctuation 18
 
5.5%
Space Separator 12
 
3.6%
Decimal Number 7
 
2.1%
Uppercase Letter 5
 
1.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 26
 
9.7%
트 23
 
8.6%
주 17
 
6.3%
점 12
 
4.5%
인 5
 
1.9%
할 5
 
1.9%
통 5
 
1.9%
스 5
 
1.9%
데 5
 
1.9%
롯 5
 
1.9%
Other values (87) 160
59.7%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
0 2
28.6%
5 1
14.3%
6 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
W 2
40.0%
V 1
20.0%
I 1
20.0%
C 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
81.2%
Common 57
 
17.3%
Latin 5
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 26
 
9.7%
트 23
 
8.6%
주 17
 
6.3%
점 12
 
4.5%
인 5
 
1.9%
할 5
 
1.9%
통 5
 
1.9%
스 5
 
1.9%
데 5
 
1.9%
롯 5
 
1.9%
Other values (87) 160
59.7%
Common
ValueCountFrequency (%)
) 19
33.3%
( 18
31.6%
12
21.1%
2 2
 
3.5%
0 2
 
3.5%
5 1
 
1.8%
6 1
 
1.8%
3 1
 
1.8%
. 1
 
1.8%
Latin
ValueCountFrequency (%)
W 2
40.0%
V 1
20.0%
I 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
81.2%
ASCII 62
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 26
 
9.7%
트 23
 
8.6%
주 17
 
6.3%
점 12
 
4.5%
인 5
 
1.9%
할 5
 
1.9%
통 5
 
1.9%
스 5
 
1.9%
데 5
 
1.9%
롯 5
 
1.9%
Other values (87) 160
59.7%
ASCII
ValueCountFrequency (%)
) 19
30.6%
( 18
29.0%
12
19.4%
W 2
 
3.2%
2 2
 
3.2%
0 2
 
3.2%
5 1
 
1.6%
6 1
 
1.6%
3 1
 
1.6%
V 1
 
1.6%
Other values (3) 3
 
4.8%

최종수정일자
Date

Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum1999-12-11 00:00:00
Maximum2024-04-18 13:55:07
2024-05-11T17:04:16.976110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:17.131552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
I
26 
U
11 

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 26
70.3%
U 11
29.7%

Length

2024-05-11T17:04:17.290606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:17.426504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
70.3%
u 11
29.7%

데이터갱신일자
Date

Distinct13
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:00:00
2024-05-11T17:04:17.538461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:04:17.670437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
기타식품판매업
37 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 37
100.0%

Length

2024-05-11T17:04:17.820786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:17.953546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 37
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)76.5%
Missing3
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean191254.77
Minimum189759.71
Maximum192368.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T17:04:18.075549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189759.71
5-th percentile189997.46
Q1191128.65
median191304.45
Q3191631.14
95-th percentile192297.92
Maximum192368.44
Range2608.7246
Interquartile range (IQR)502.49469

Descriptive statistics

Standard deviation649.60452
Coefficient of variation (CV)0.0033965403
Kurtosis0.15235822
Mean191254.77
Median Absolute Deviation (MAD)298.31647
Skewness-0.58717364
Sum6502662.1
Variance421986.03
MonotonicityNot monotonic
2024-05-11T17:04:18.214731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
191823.026849977 2
 
5.4%
191303.437157804 2
 
5.4%
192297.91598261 2
 
5.4%
191435.060306076 2
 
5.4%
189997.455663258 2
 
5.4%
191659.51307314 2
 
5.4%
191546.022239252 2
 
5.4%
191917.450107657 2
 
5.4%
191152.432649234 1
 
2.7%
191436.657592504 1
 
2.7%
Other values (16) 16
43.2%
(Missing) 3
 
8.1%
ValueCountFrequency (%)
189759.713050655 1
2.7%
189997.455663258 2
5.4%
190140.258408311 1
2.7%
190481.242450103 1
2.7%
190527.918536528 1
2.7%
190704.904312713 1
2.7%
190809.507840375 1
2.7%
191127.423978879 1
2.7%
191132.31075447 1
2.7%
191143.538043206 1
2.7%
ValueCountFrequency (%)
192368.43764933 1
2.7%
192297.91598261 2
5.4%
191917.450107657 2
5.4%
191823.026849977 2
5.4%
191659.51307314 2
5.4%
191546.022239252 2
5.4%
191445.240966761 1
2.7%
191436.657592504 1
2.7%
191435.060306076 2
5.4%
191389.027715691 1
2.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)76.5%
Missing3
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean440053.63
Minimum438266.71
Maximum441984.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-05-11T17:04:18.357736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438266.71
5-th percentile438472.82
Q1438834.38
median439933.49
Q3441241.07
95-th percentile441940.03
Maximum441984.5
Range3717.7932
Interquartile range (IQR)2406.6939

Descriptive statistics

Standard deviation1295.1545
Coefficient of variation (CV)0.0029431742
Kurtosis-1.6050113
Mean440053.63
Median Absolute Deviation (MAD)1238.1999
Skewness0.1702823
Sum14961823
Variance1677425.2
MonotonicityNot monotonic
2024-05-11T17:04:18.491439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
438834.378061101 2
 
5.4%
439107.599312247 2
 
5.4%
438580.148239494 2
 
5.4%
440384.164985231 2
 
5.4%
441687.841171831 2
 
5.4%
441984.502153591 2
 
5.4%
439444.893003666 2
 
5.4%
438699.77460936 2
 
5.4%
438865.160717275 1
 
2.7%
438492.594496018 1
 
2.7%
Other values (16) 16
43.2%
(Missing) 3
 
8.1%
ValueCountFrequency (%)
438266.70898504 1
2.7%
438436.109390506 1
2.7%
438492.594496018 1
2.7%
438580.148239494 2
5.4%
438690.814038292 1
2.7%
438699.77460936 2
5.4%
438834.378061101 2
5.4%
438865.160717275 1
2.7%
439107.599312247 2
5.4%
439271.814994838 1
2.7%
ValueCountFrequency (%)
441984.502153591 2
5.4%
441916.081648538 1
2.7%
441814.115920983 1
2.7%
441687.841171831 2
5.4%
441556.382011728 1
2.7%
441484.865931033 1
2.7%
441253.456020539 1
2.7%
441203.919968343 1
2.7%
441186.97127864 1
2.7%
440940.384414334 1
2.7%

위생업태명
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
기타식품판매업
31 
<NA>
6 

Length

Max length7
Median length7
Mean length6.5135135
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 31
83.8%
<NA> 6
 
16.2%

Length

2024-05-11T17:04:18.653125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:18.772555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 31
83.8%
na 6
 
16.2%

남성종사자수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
32 
0
5 

Length

Max length4
Median length4
Mean length3.5945946
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
86.5%
0 5
 
13.5%

Length

2024-05-11T17:04:18.907077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:19.062619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
86.5%
0 5
 
13.5%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
32 
0
4 
1
 
1

Length

Max length4
Median length4
Mean length3.5945946
Min length1

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 32
86.5%
0 4
 
10.8%
1 1
 
2.7%

Length

2024-05-11T17:04:19.206002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:19.342929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
86.5%
0 4
 
10.8%
1 1
 
2.7%

영업장주변구분명
Categorical

Distinct4
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
29 
주택가주변
5 
기타
 
2
아파트지역
 
1

Length

Max length5
Median length4
Mean length4.0540541
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
78.4%
주택가주변 5
 
13.5%
기타 2
 
5.4%
아파트지역 1
 
2.7%

Length

2024-05-11T17:04:19.505047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:19.628077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
78.4%
주택가주변 5
 
13.5%
기타 2
 
5.4%
아파트지역 1
 
2.7%

등급구분명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
29 
자율
5 
기타
3 

Length

Max length4
Median length4
Mean length3.5675676
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
78.4%
자율 5
 
13.5%
기타 3
 
8.1%

Length

2024-05-11T17:04:19.786520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:19.920223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
78.4%
자율 5
 
13.5%
기타 3
 
8.1%

급수시설구분명
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
28 
상수도전용
9 

Length

Max length5
Median length4
Mean length4.2432432
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
75.7%
상수도전용 9
 
24.3%

Length

2024-05-11T17:04:20.061083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:20.176088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
75.7%
상수도전용 9
 
24.3%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

본사종업원수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
22 
0
15 

Length

Max length4
Median length4
Mean length2.7837838
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
59.5%
0 15
40.5%

Length

2024-05-11T17:04:20.291588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:20.414715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
59.5%
0 15
40.5%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
22 
0
15 

Length

Max length4
Median length4
Mean length2.7837838
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
59.5%
0 15
40.5%

Length

2024-05-11T17:04:20.517448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:20.620476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
59.5%
0 15
40.5%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
22 
0
15 

Length

Max length4
Median length4
Mean length2.7837838
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
59.5%
0 15
40.5%

Length

2024-05-11T17:04:20.745546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:20.872919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
59.5%
0 15
40.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
22 
0
15 

Length

Max length4
Median length4
Mean length2.7837838
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
59.5%
0 15
40.5%

Length

2024-05-11T17:04:20.994901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:21.422025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
59.5%
0 15
40.5%

건물소유구분명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
26 
자가
7 
임대
4 

Length

Max length4
Median length4
Mean length3.4054054
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> 26
70.3%
자가 7
 
18.9%
임대 4
 
10.8%

Length

2024-05-11T17:04:21.530502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:21.648978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
70.3%
자가 7
 
18.9%
임대 4
 
10.8%

보증액
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
35 
200000000
 
1
80000000
 
1

Length

Max length9
Median length4
Mean length4.2432432
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
94.6%
200000000 1
 
2.7%
80000000 1
 
2.7%

Length

2024-05-11T17:04:21.766490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:21.880084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
94.6%
200000000 1
 
2.7%
80000000 1
 
2.7%

월세액
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
35 
8000000
 
1
6200000
 
1

Length

Max length7
Median length4
Mean length4.1621622
Min length4

Unique

Unique2 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
94.6%
8000000 1
 
2.7%
6200000 1
 
2.7%

Length

2024-05-11T17:04:21.988353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:22.089880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
94.6%
8000000 1
 
2.7%
6200000 1
 
2.7%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.2%
Missing6
Missing (%)16.2%
Memory size206.0 B
False
31 
(Missing)
6 
ValueCountFrequency (%)
False 31
83.8%
(Missing) 6
 
16.2%
2024-05-11T17:04:22.193075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size428.0 B
0.0
28 
<NA>
6 
544.97
 
1
106.4
 
1
312.93
 
1

Length

Max length6
Median length3
Mean length3.3783784
Min length3

Unique

Unique3 ?
Unique (%)8.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 28
75.7%
<NA> 6
 
16.2%
544.97 1
 
2.7%
106.4 1
 
2.7%
312.93 1
 
2.7%

Length

2024-05-11T17:04:22.313906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:04:22.437835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 28
75.7%
na 6
 
16.2%
544.97 1
 
2.7%
106.4 1
 
2.7%
312.93 1
 
2.7%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
2731700003170000-114-2014-0000320140806<NA>1영업/정상1영업<NA><NA><NA><NA>02 8933650961.00153030서울특별시 금천구 시흥동 1013-7 벽산중심상가 지층 101호 102호서울특별시 금천구 금하로 763 (시흥동, 벽산중심상가 지층 101호 102호)8656산들식자재마트2021-07-02 15:43:05U2021-07-04 02:40:00.0기타식품판매업192368.437649438690.814038기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
2831700003170000-114-2015-0000120150319<NA>1영업/정상1영업<NA><NA><NA><NA>02 851 23511,200.00153825서울특별시 금천구 독산동 987-12 그랜드할인마트서울특별시 금천구 시흥대로142길 23 (독산동, 그랜드할인마트)8544(주)그랜드할인마트2015-07-16 11:38:06I2018-08-31 23:59:59.0기타식품판매업191132.310754441253.456021기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
2931700003170000-114-2015-0000220150326<NA>1영업/정상1영업<NA><NA><NA><NA>02 891 8957376.40153858서울특별시 금천구 시흥동 885-4서울특별시 금천구 금하로 648 (시흥동)8628농부의마음(할인마트)2019-04-02 13:39:28U2019-04-04 02:40:00.0기타식품판매업191303.437158439107.599312기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
3031700003170000-114-2015-000032015-04-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 808 51001751.00153-831서울특별시 금천구 독산동 1041-24 가락연합리테일서울특별시 금천구 독산로 204, 1,2층 (독산동, 가락연합리테일)8559해나온식자재마트 가락공판장 365할인매장2024-01-12 14:01:51U2023-11-30 23:04:00.0기타식품판매업191305.465205440372.385587<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3131700003170000-114-2015-0000420151204<NA>3폐업2폐업20170224<NA><NA><NA>02 891 4975544.97153784서울특별시 금천구 시흥동 1011 관악우방아파트 지하 상가동서울특별시 금천구 금하로 750, 상가동 지하층 (시흥동, 관악우방아파트)8645진로마트 시흥점2015-12-04 17:03:13I2018-08-31 23:59:59.0기타식품판매업192297.915983438580.148239기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
3231700003170000-114-2017-0000120170522<NA>1영업/정상1영업<NA><NA><NA><NA>02 851 8588433.58153820서울특별시 금천구 독산동 899-6서울특별시 금천구 남부순환로 1400, 1층 (독산동)8548농민마트2018-11-08 16:39:02U2018-11-10 02:37:13.0기타식품판매업191659.513073441984.502154기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
3331700003170000-114-2018-000012018-01-17<NA>1영업/정상1영업<NA><NA><NA><NA>02 380 5678481.22153-717서울특별시 금천구 가산동 60-20 마리오아울렛3서울특별시 금천구 벚꽃로 266, 마리오아울렛3 지하1층 (가산동)8511노브랜드 마리오아울렛점2024-04-18 13:55:07U2023-12-03 22:00:00.0기타식품판매업189759.713051441814.115921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3431700003170000-114-2018-0000220181122<NA>3폐업2폐업20200203<NA><NA><NA><NA>1,068.40153801서울특별시 금천구 가산동 60-27 더블유몰서울특별시 금천구 디지털로 188, 더블유몰 지하1층 (가산동)8513삐에로쑈핑 W몰점2020-02-03 11:32:25U2020-02-05 02:40:00.0기타식품판매업189997.455663441687.841172기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
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