Overview

Dataset statistics

Number of variables44
Number of observations56
Missing cells500
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.7 KiB
Average record size in memory378.4 B

Variable types

Categorical23
Text7
DateTime2
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18306/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (64.6%)Imbalance
여성종사자수 is highly imbalanced (64.6%)Imbalance
영업장주변구분명 is highly imbalanced (56.6%)Imbalance
등급구분명 is highly imbalanced (68.5%)Imbalance
급수시설구분명 is highly imbalanced (56.6%)Imbalance
총인원 is highly imbalanced (77.8%)Imbalance
인허가취소일자 has 56 (100.0%) missing valuesMissing
폐업일자 has 28 (50.0%) missing valuesMissing
휴업시작일자 has 56 (100.0%) missing valuesMissing
휴업종료일자 has 56 (100.0%) missing valuesMissing
재개업일자 has 56 (100.0%) missing valuesMissing
전화번호 has 9 (16.1%) missing valuesMissing
소재지면적 has 32 (57.1%) missing valuesMissing
도로명주소 has 12 (21.4%) missing valuesMissing
도로명우편번호 has 12 (21.4%) missing valuesMissing
좌표정보(X) has 2 (3.6%) missing valuesMissing
좌표정보(Y) has 2 (3.6%) missing valuesMissing
다중이용업소여부 has 11 (19.6%) missing valuesMissing
전통업소지정번호 has 56 (100.0%) missing valuesMissing
전통업소주된음식 has 56 (100.0%) missing valuesMissing
홈페이지 has 56 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2024-04-17 17:38:09.527491
Analysis finished2024-04-17 17:38:09.949476
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
3040000
56 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 56
100.0%

Length

2024-04-18T02:38:09.995718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:10.060909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 56
100.0%

관리번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-04-18T02:38:10.186918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters1232
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

Unique56 ?
Unique (%)100.0%

Sample

1st row3040000-114-1997-00390
2nd row3040000-114-1999-00498
3rd row3040000-114-2000-00557
4th row3040000-114-2000-00580
5th row3040000-114-2001-00674
ValueCountFrequency (%)
3040000-114-1997-00390 1
 
1.8%
3040000-114-1999-00498 1
 
1.8%
3040000-114-2014-00003 1
 
1.8%
3040000-114-2010-00002 1
 
1.8%
3040000-114-2011-00001 1
 
1.8%
3040000-114-2011-00002 1
 
1.8%
3040000-114-2011-00003 1
 
1.8%
3040000-114-2012-00001 1
 
1.8%
3040000-114-2012-00002 1
 
1.8%
3040000-114-2012-00003 1
 
1.8%
Other values (46) 46
82.1%
2024-04-18T02:38:10.451785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 570
46.3%
- 168
 
13.6%
1 165
 
13.4%
4 124
 
10.1%
2 82
 
6.7%
3 66
 
5.4%
6 15
 
1.2%
7 13
 
1.1%
9 12
 
1.0%
5 11
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1064
86.4%
Dash Punctuation 168
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 570
53.6%
1 165
 
15.5%
4 124
 
11.7%
2 82
 
7.7%
3 66
 
6.2%
6 15
 
1.4%
7 13
 
1.2%
9 12
 
1.1%
5 11
 
1.0%
8 6
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 570
46.3%
- 168
 
13.6%
1 165
 
13.4%
4 124
 
10.1%
2 82
 
6.7%
3 66
 
5.4%
6 15
 
1.2%
7 13
 
1.1%
9 12
 
1.0%
5 11
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 570
46.3%
- 168
 
13.6%
1 165
 
13.4%
4 124
 
10.1%
2 82
 
6.7%
3 66
 
5.4%
6 15
 
1.2%
7 13
 
1.1%
9 12
 
1.0%
5 11
 
0.9%

인허가일자
Date

Distinct49
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum1997-01-22 00:00:00
Maximum2022-05-13 00:00:00
2024-04-18T02:38:10.557925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:38:10.660886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
3
28 
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 28
50.0%
1 28
50.0%

Length

2024-04-18T02:38:10.757727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:10.829314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 28
50.0%
1 28
50.0%

영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
폐업
28 
영업/정상
28 

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
50.0%
영업/정상 28
50.0%

Length

2024-04-18T02:38:10.905135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:10.975643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
50.0%
영업/정상 28
50.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2
28 
1
28 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 28
50.0%
1 28
50.0%

Length

2024-04-18T02:38:11.059212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:11.125181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
50.0%
1 28
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
폐업
28 
영업
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 28
50.0%
영업 28
50.0%

Length

2024-04-18T02:38:11.197226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:11.265392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 28
50.0%
영업 28
50.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing28
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean20129903
Minimum19980909
Maximum20220330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-04-18T02:38:11.336452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980909
5-th percentile20044163
Q120100820
median20140464
Q320160908
95-th percentile20210372
Maximum20220330
Range239421
Interquartile range (IQR)60087.25

Descriptive statistics

Standard deviation57911.969
Coefficient of variation (CV)0.0028769125
Kurtosis0.1824207
Mean20129903
Median Absolute Deviation (MAD)34946
Skewness-0.58463523
Sum5.6363728 × 108
Variance3.3537962 × 109
MonotonicityNot monotonic
2024-04-18T02:38:11.427321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20110929 1
 
1.8%
20200915 1
 
1.8%
20220330 1
 
1.8%
20210104 1
 
1.8%
20191118 1
 
1.8%
20160906 1
 
1.8%
20160629 1
 
1.8%
20140811 1
 
1.8%
20130328 1
 
1.8%
20120327 1
 
1.8%
Other values (18) 18
32.1%
(Missing) 28
50.0%
ValueCountFrequency (%)
19980909 1
1.8%
20040524 1
1.8%
20050921 1
1.8%
20051101 1
1.8%
20070129 1
1.8%
20070404 1
1.8%
20100804 1
1.8%
20100826 1
1.8%
20110211 1
1.8%
20110929 1
1.8%
ValueCountFrequency (%)
20220330 1
1.8%
20210517 1
1.8%
20210104 1
1.8%
20200915 1
1.8%
20191118 1
1.8%
20180319 1
1.8%
20160913 1
1.8%
20160906 1
1.8%
20160629 1
1.8%
20160328 1
1.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

전화번호
Text

MISSING 

Distinct45
Distinct (%)95.7%
Missing9
Missing (%)16.1%
Memory size580.0 B
2024-04-18T02:38:11.563801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.531915
Min length7

Characters and Unicode

Total characters495
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

Unique43 ?
Unique (%)91.5%

Sample

1st row02 4524250
2nd row02 4665455
3rd row02 4446529
4th row02 4649854
5th row02 4691448
ValueCountFrequency (%)
02 41
40.2%
447 3
 
2.9%
4691448 2
 
2.0%
4627901 2
 
2.0%
499 2
 
2.0%
4463096 2
 
2.0%
444 2
 
2.0%
9081 1
 
1.0%
3735 1
 
1.0%
02467 1
 
1.0%
Other values (45) 45
44.1%
2024-04-18T02:38:12.039804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 90
18.2%
0 87
17.6%
70
14.1%
2 65
13.1%
5 40
8.1%
6 35
 
7.1%
3 31
 
6.3%
9 24
 
4.8%
1 21
 
4.2%
8 17
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 425
85.9%
Space Separator 70
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 90
21.2%
0 87
20.5%
2 65
15.3%
5 40
9.4%
6 35
 
8.2%
3 31
 
7.3%
9 24
 
5.6%
1 21
 
4.9%
8 17
 
4.0%
7 15
 
3.5%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 90
18.2%
0 87
17.6%
70
14.1%
2 65
13.1%
5 40
8.1%
6 35
 
7.1%
3 31
 
6.3%
9 24
 
4.8%
1 21
 
4.2%
8 17
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 90
18.2%
0 87
17.6%
70
14.1%
2 65
13.1%
5 40
8.1%
6 35
 
7.1%
3 31
 
6.3%
9 24
 
4.8%
1 21
 
4.2%
8 17
 
3.4%

소재지면적
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing32
Missing (%)57.1%
Memory size580.0 B
2024-04-18T02:38:12.190557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.4583333
Min length6

Characters and Unicode

Total characters155
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

Unique24 ?
Unique (%)100.0%

Sample

1st row1,167.99
2nd row3,360.00
3rd row1310.00
4th row833.50
5th row578.30
ValueCountFrequency (%)
1,167.99 1
 
4.2%
3,360.00 1
 
4.2%
999.43 1
 
4.2%
1,299.40 1
 
4.2%
350.93 1
 
4.2%
720.50 1
 
4.2%
469.31 1
 
4.2%
512.47 1
 
4.2%
505.99 1
 
4.2%
891.00 1
 
4.2%
Other values (14) 14
58.3%
2024-04-18T02:38:12.463353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 27
17.4%
. 24
15.5%
3 20
12.9%
1 18
11.6%
9 16
10.3%
5 10
 
6.5%
4 10
 
6.5%
6 8
 
5.2%
2 8
 
5.2%
7 5
 
3.2%
Other values (2) 9
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 127
81.9%
Other Punctuation 28
 
18.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
21.3%
3 20
15.7%
1 18
14.2%
9 16
12.6%
5 10
 
7.9%
4 10
 
7.9%
6 8
 
6.3%
2 8
 
6.3%
7 5
 
3.9%
8 5
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 24
85.7%
, 4
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Common 155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 27
17.4%
. 24
15.5%
3 20
12.9%
1 18
11.6%
9 16
10.3%
5 10
 
6.5%
4 10
 
6.5%
6 8
 
5.2%
2 8
 
5.2%
7 5
 
3.2%
Other values (2) 9
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 27
17.4%
. 24
15.5%
3 20
12.9%
1 18
11.6%
9 16
10.3%
5 10
 
6.5%
4 10
 
6.5%
6 8
 
5.2%
2 8
 
5.2%
7 5
 
3.2%
Other values (2) 9
 
5.8%

소재지우편번호
Text

Distinct34
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-04-18T02:38:12.616912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0535714
Min length6

Characters and Unicode

Total characters339
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

Unique21 ?
Unique (%)37.5%

Sample

1st row143888
2nd row143912
3rd row143888
4th row143843
5th row143840
ValueCountFrequency (%)
143840 5
 
8.9%
143805 4
 
7.1%
143888 3
 
5.4%
143200 3
 
5.4%
143912 3
 
5.4%
143862 3
 
5.4%
143817 2
 
3.6%
143859 2
 
3.6%
143824 2
 
3.6%
143839 2
 
3.6%
Other values (24) 27
48.2%
2024-04-18T02:38:12.890614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 72
21.2%
4 69
20.4%
3 67
19.8%
8 48
14.2%
0 21
 
6.2%
9 18
 
5.3%
2 15
 
4.4%
5 14
 
4.1%
6 6
 
1.8%
7 6
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 336
99.1%
Dash Punctuation 3
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 72
21.4%
4 69
20.5%
3 67
19.9%
8 48
14.3%
0 21
 
6.2%
9 18
 
5.4%
2 15
 
4.5%
5 14
 
4.2%
6 6
 
1.8%
7 6
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 339
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 72
21.2%
4 69
20.4%
3 67
19.8%
8 48
14.2%
0 21
 
6.2%
9 18
 
5.3%
2 15
 
4.4%
5 14
 
4.1%
6 6
 
1.8%
7 6
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 339
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 72
21.2%
4 69
20.4%
3 67
19.8%
8 48
14.2%
0 21
 
6.2%
9 18
 
5.3%
2 15
 
4.4%
5 14
 
4.1%
6 6
 
1.8%
7 6
 
1.8%

지번주소
Text

Distinct53
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-04-18T02:38:13.097367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length25.035714
Min length18

Characters and Unicode

Total characters1402
Distinct characters88
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

Unique50 ?
Unique (%)89.3%

Sample

1st row서울특별시 광진구 중곡동 79-9
2nd row서울특별시 광진구 중곡동 627-1
3rd row서울특별시 광진구 중곡동 79-7
4th row서울특별시 광진구 자양동 44-2
5th row서울특별시 광진구 군자동 346-23 지상1층
ValueCountFrequency (%)
서울특별시 56
19.9%
광진구 56
19.9%
자양동 14
 
5.0%
광장동 13
 
4.6%
구의동 11
 
3.9%
중곡동 10
 
3.6%
1층 9
 
3.2%
군자동 8
 
2.8%
지하1층 5
 
1.8%
250 4
 
1.4%
Other values (77) 95
33.8%
2024-04-18T02:38:13.391186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
19.1%
동 70
 
5.0%
광 70
 
5.0%
구 69
 
4.9%
1 60
 
4.3%
진 56
 
4.0%
울 56
 
4.0%
서 56
 
4.0%
시 56
 
4.0%
별 56
 
4.0%
Other values (78) 585
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 792
56.5%
Decimal Number 271
 
19.3%
Space Separator 268
 
19.1%
Dash Punctuation 46
 
3.3%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%
Other Punctuation 4
 
0.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
8.8%
광 70
 
8.8%
구 69
 
8.7%
진 56
 
7.1%
울 56
 
7.1%
서 56
 
7.1%
시 56
 
7.1%
별 56
 
7.1%
특 56
 
7.1%
자 24
 
3.0%
Other values (61) 223
28.2%
Decimal Number
ValueCountFrequency (%)
1 60
22.1%
2 37
13.7%
3 34
12.5%
5 33
12.2%
6 27
10.0%
4 22
 
8.1%
0 20
 
7.4%
7 17
 
6.3%
8 12
 
4.4%
9 9
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 792
56.5%
Common 607
43.3%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
8.8%
광 70
 
8.8%
구 69
 
8.7%
진 56
 
7.1%
울 56
 
7.1%
서 56
 
7.1%
시 56
 
7.1%
별 56
 
7.1%
특 56
 
7.1%
자 24
 
3.0%
Other values (61) 223
28.2%
Common
ValueCountFrequency (%)
268
44.2%
1 60
 
9.9%
- 46
 
7.6%
2 37
 
6.1%
3 34
 
5.6%
5 33
 
5.4%
6 27
 
4.4%
4 22
 
3.6%
0 20
 
3.3%
7 17
 
2.8%
Other values (5) 43
 
7.1%
Latin
ValueCountFrequency (%)
B 2
66.7%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 792
56.5%
ASCII 610
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
43.9%
1 60
 
9.8%
- 46
 
7.5%
2 37
 
6.1%
3 34
 
5.6%
5 33
 
5.4%
6 27
 
4.4%
4 22
 
3.6%
0 20
 
3.3%
7 17
 
2.8%
Other values (7) 46
 
7.5%
Hangul
ValueCountFrequency (%)
동 70
 
8.8%
광 70
 
8.8%
구 69
 
8.7%
진 56
 
7.1%
울 56
 
7.1%
서 56
 
7.1%
시 56
 
7.1%
별 56
 
7.1%
특 56
 
7.1%
자 24
 
3.0%
Other values (61) 223
28.2%

도로명주소
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing12
Missing (%)21.4%
Memory size580.0 B
2024-04-18T02:38:13.593314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length45
Mean length33.386364
Min length22

Characters and Unicode

Total characters1469
Distinct characters100
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

Unique42 ?
Unique (%)95.5%

Sample

1st row서울특별시 광진구 면목로7길 10-5 (중곡동)
2nd row서울특별시 광진구 영화사로 8 (중곡동)
3rd row서울특별시 광진구 뚝섬로 491 (자양동)
4th row서울특별시 광진구 아차산로30길 39 (자양동)
5th row서울특별시 광진구 긴고랑로11길 11 (중곡동)
ValueCountFrequency (%)
서울특별시 44
 
15.5%
광진구 44
 
15.5%
광장동 13
 
4.6%
아차산로 11
 
3.9%
1층 9
 
3.2%
지하1층 9
 
3.2%
자양동 8
 
2.8%
중곡동 7
 
2.5%
구의동 6
 
2.1%
뚝섬로 5
 
1.8%
Other values (104) 128
45.1%
2024-04-18T02:38:13.895711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
 
16.3%
1 69
 
4.7%
동 65
 
4.4%
광 63
 
4.3%
구 55
 
3.7%
, 54
 
3.7%
) 50
 
3.4%
( 50
 
3.4%
로 44
 
3.0%
울 44
 
3.0%
Other values (90) 735
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 844
57.5%
Space Separator 240
 
16.3%
Decimal Number 222
 
15.1%
Other Punctuation 54
 
3.7%
Close Punctuation 50
 
3.4%
Open Punctuation 50
 
3.4%
Dash Punctuation 4
 
0.3%
Uppercase Letter 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 65
 
7.7%
광 63
 
7.5%
구 55
 
6.5%
로 44
 
5.2%
울 44
 
5.2%
서 44
 
5.2%
진 44
 
5.2%
시 44
 
5.2%
별 44
 
5.2%
특 44
 
5.2%
Other values (72) 353
41.8%
Decimal Number
ValueCountFrequency (%)
1 69
31.1%
5 29
13.1%
0 23
 
10.4%
9 22
 
9.9%
2 17
 
7.7%
3 16
 
7.2%
6 14
 
6.3%
8 12
 
5.4%
7 12
 
5.4%
4 8
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
S 1
 
25.0%
Space Separator
ValueCountFrequency (%)
240
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 844
57.5%
Common 621
42.3%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 65
 
7.7%
광 63
 
7.5%
구 55
 
6.5%
로 44
 
5.2%
울 44
 
5.2%
서 44
 
5.2%
진 44
 
5.2%
시 44
 
5.2%
별 44
 
5.2%
특 44
 
5.2%
Other values (72) 353
41.8%
Common
ValueCountFrequency (%)
240
38.6%
1 69
 
11.1%
, 54
 
8.7%
) 50
 
8.1%
( 50
 
8.1%
5 29
 
4.7%
0 23
 
3.7%
9 22
 
3.5%
2 17
 
2.7%
3 16
 
2.6%
Other values (6) 51
 
8.2%
Latin
ValueCountFrequency (%)
B 3
75.0%
S 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 844
57.5%
ASCII 625
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
240
38.4%
1 69
 
11.0%
, 54
 
8.6%
) 50
 
8.0%
( 50
 
8.0%
5 29
 
4.6%
0 23
 
3.7%
9 22
 
3.5%
2 17
 
2.7%
3 16
 
2.6%
Other values (8) 55
 
8.8%
Hangul
ValueCountFrequency (%)
동 65
 
7.7%
광 63
 
7.5%
구 55
 
6.5%
로 44
 
5.2%
울 44
 
5.2%
서 44
 
5.2%
진 44
 
5.2%
시 44
 
5.2%
별 44
 
5.2%
특 44
 
5.2%
Other values (72) 353
41.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)75.0%
Missing12
Missing (%)21.4%
Infinite0
Infinite (%)0.0%
Mean5001.6364
Minimum4901
Maximum5116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-04-18T02:38:13.997171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4901
5-th percentile4911.9
Q14968
median4992
Q35050.25
95-th percentile5095.25
Maximum5116
Range215
Interquartile range (IQR)82.25

Descriptive statistics

Standard deviation58.41953
Coefficient of variation (CV)0.011680083
Kurtosis-0.92759991
Mean5001.6364
Median Absolute Deviation (MAD)41
Skewness0.18752818
Sum220072
Variance3412.8414
MonotonicityNot monotonic
2024-04-18T02:38:14.088072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4968 5
 
8.9%
5065 2
 
3.6%
4949 2
 
3.6%
5000 2
 
3.6%
4954 2
 
3.6%
4974 2
 
3.6%
4920 2
 
3.6%
4977 2
 
3.6%
4983 1
 
1.8%
5002 1
 
1.8%
Other values (23) 23
41.1%
(Missing) 12
21.4%
ValueCountFrequency (%)
4901 1
 
1.8%
4910 1
 
1.8%
4911 1
 
1.8%
4917 1
 
1.8%
4920 2
 
3.6%
4949 2
 
3.6%
4954 2
 
3.6%
4968 5
8.9%
4971 1
 
1.8%
4974 2
 
3.6%
ValueCountFrequency (%)
5116 1
1.8%
5102 1
1.8%
5096 1
1.8%
5091 1
1.8%
5080 1
1.8%
5076 1
1.8%
5073 1
1.8%
5068 1
1.8%
5065 2
3.6%
5060 1
1.8%

사업장명
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-04-18T02:38:14.264191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.3214286
Min length3

Characters and Unicode

Total characters466
Distinct characters118
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row(주)그린벤츄어스
2nd row경신마트
3rd row신성슈퍼직영
4th row노룬산슈퍼마켓
5th row신비로마트
ValueCountFrequency (%)
광장점 4
 
5.5%
에스마트 2
 
2.7%
주)지에스리테일 2
 
2.7%
주)이마트에브리데이 2
 
2.7%
주식회사 2
 
2.7%
자이 1
 
1.4%
두꺼비마트 1
 
1.4%
이마트에브리데이 1
 
1.4%
정성마트 1
 
1.4%
대로마트 1
 
1.4%
Other values (56) 56
76.7%
2024-04-18T02:38:14.546389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 41
 
8.8%
트 39
 
8.4%
점 20
 
4.3%
17
 
3.6%
( 17
 
3.6%
) 17
 
3.6%
주 16
 
3.4%
이 15
 
3.2%
스 13
 
2.8%
양 12
 
2.6%
Other values (108) 259
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
88.2%
Space Separator 17
 
3.6%
Open Punctuation 17
 
3.6%
Close Punctuation 17
 
3.6%
Uppercase Letter 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 41
 
10.0%
트 39
 
9.5%
점 20
 
4.9%
주 16
 
3.9%
이 15
 
3.6%
스 13
 
3.2%
양 12
 
2.9%
에 10
 
2.4%
자 9
 
2.2%
광 9
 
2.2%
Other values (103) 227
55.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
G 2
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
88.2%
Common 51
 
10.9%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 41
 
10.0%
트 39
 
9.5%
점 20
 
4.9%
주 16
 
3.9%
이 15
 
3.6%
스 13
 
3.2%
양 12
 
2.9%
에 10
 
2.4%
자 9
 
2.2%
광 9
 
2.2%
Other values (103) 227
55.2%
Common
ValueCountFrequency (%)
17
33.3%
( 17
33.3%
) 17
33.3%
Latin
ValueCountFrequency (%)
S 2
50.0%
G 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
88.2%
ASCII 55
 
11.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 41
 
10.0%
트 39
 
9.5%
점 20
 
4.9%
주 16
 
3.9%
이 15
 
3.6%
스 13
 
3.2%
양 12
 
2.9%
에 10
 
2.4%
자 9
 
2.2%
광 9
 
2.2%
Other values (103) 227
55.2%
ASCII
ValueCountFrequency (%)
17
30.9%
( 17
30.9%
) 17
30.9%
S 2
 
3.6%
G 2
 
3.6%

최종수정일자
Date

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2001-11-29 00:00:00
Maximum2024-04-12 09:37:15
2024-04-18T02:38:14.650041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T02:38:14.753044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
I
39 
U
17 

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 39
69.6%
U 17
30.4%

Length

2024-04-18T02:38:14.850088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:14.923356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
69.6%
u 17
30.4%

데이터갱신일자
Categorical

Distinct25
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2018-08-31 23:59:59.0
32 
2021-04-25 02:40:00.0
 
1
2021-12-04 23:08:00.0
 
1
2022-12-05 23:08:00.0
 
1
2019-05-17 02:40:00.0
 
1
Other values (20)
20 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique24 ?
Unique (%)42.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 32
57.1%
2021-04-25 02:40:00.0 1
 
1.8%
2021-12-04 23:08:00.0 1
 
1.8%
2022-12-05 23:08:00.0 1
 
1.8%
2019-05-17 02:40:00.0 1
 
1.8%
2021-12-05 22:04:00.0 1
 
1.8%
2023-12-03 23:04:00.0 1
 
1.8%
2021-04-07 02:40:00.0 1
 
1.8%
2021-12-03 22:08:00.0 1
 
1.8%
2022-12-05 23:07:00.0 1
 
1.8%
Other values (15) 15
26.8%

Length

2024-04-18T02:38:14.994487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 32
28.6%
23:59:59.0 32
28.6%
02:40:00.0 8
 
7.1%
2021-12-04 3
 
2.7%
2021-12-03 2
 
1.8%
23:08:00.0 2
 
1.8%
2022-12-05 2
 
1.8%
22:08:00.0 2
 
1.8%
2020-09-17 1
 
0.9%
2020-07-09 1
 
0.9%
Other values (27) 27
24.1%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
기타식품판매업
56 

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 56
100.0%

Length

2024-04-18T02:38:15.085392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:15.152940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 56
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)77.8%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean207249.69
Minimum205663.08
Maximum209194.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-04-18T02:38:15.223988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205663.08
5-th percentile205980.91
Q1206266.93
median207095.74
Q3207914.69
95-th percentile209194.6
Maximum209194.6
Range3531.5141
Interquartile range (IQR)1647.7665

Descriptive statistics

Standard deviation1053.4484
Coefficient of variation (CV)0.0050829914
Kurtosis-0.9857912
Mean207249.69
Median Absolute Deviation (MAD)826.25973
Skewness0.4196752
Sum11191483
Variance1109753.5
MonotonicityNot monotonic
2024-04-18T02:38:15.345026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
209194.595129323 4
 
7.1%
206172.221312682 3
 
5.4%
206597.447430317 2
 
3.6%
206730.050438663 2
 
3.6%
206031.860086066 2
 
3.6%
206266.927500759 2
 
3.6%
207919.446967937 2
 
3.6%
206278.8816321 2
 
3.6%
206107.775163579 2
 
3.6%
207866.804668978 1
 
1.8%
Other values (32) 32
57.1%
(Missing) 2
 
3.6%
ValueCountFrequency (%)
205663.081069121 1
 
1.8%
205788.332713562 1
 
1.8%
205886.288968009 1
 
1.8%
206031.860086066 2
3.6%
206107.775163579 2
3.6%
206172.221312682 3
5.4%
206212.747883666 1
 
1.8%
206217.434726027 1
 
1.8%
206219.841921018 1
 
1.8%
206266.927500759 2
3.6%
ValueCountFrequency (%)
209194.595129323 4
7.1%
209138.04726487 1
 
1.8%
208939.307149 1
 
1.8%
208729.170395929 1
 
1.8%
208558.933963663 1
 
1.8%
208454.462790427 1
 
1.8%
208440.29098555 1
 
1.8%
208394.416382167 1
 
1.8%
208087.647208835 1
 
1.8%
207919.446967937 2
3.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)77.8%
Missing2
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean449297.18
Minimum447632.3
Maximum452070.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-04-18T02:38:15.446371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447632.3
5-th percentile447773.22
Q1448486.25
median449101.17
Q3449975.79
95-th percentile451272.91
Maximum452070.12
Range4437.8224
Interquartile range (IQR)1489.5316

Descriptive statistics

Standard deviation1096.7647
Coefficient of variation (CV)0.0024410675
Kurtosis-0.49513113
Mean449297.18
Median Absolute Deviation (MAD)673.99936
Skewness0.51335784
Sum24262048
Variance1202892.9
MonotonicityNot monotonic
2024-04-18T02:38:15.539186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
449413.151252613 4
 
7.1%
449744.93841498 3
 
5.4%
447922.106924185 2
 
3.6%
450701.945993934 2
 
3.6%
447773.215918711 2
 
3.6%
450339.423373929 2
 
3.6%
449975.786414297 2
 
3.6%
447982.862179678 2
 
3.6%
449029.342177779 2
 
3.6%
448680.644700444 1
 
1.8%
Other values (32) 32
57.1%
(Missing) 2
 
3.6%
ValueCountFrequency (%)
447632.296040333 1
1.8%
447746.148874413 1
1.8%
447773.215918711 2
3.6%
447922.106924185 2
3.6%
447982.862179678 2
3.6%
448165.279999905 1
1.8%
448212.127193771 1
1.8%
448250.363358949 1
1.8%
448396.939704285 1
1.8%
448477.640186052 1
1.8%
ValueCountFrequency (%)
452070.118445356 1
1.8%
451435.772826853 1
1.8%
451296.049443757 1
1.8%
451260.44574067 1
1.8%
450839.346398524 1
1.8%
450701.945993934 2
3.6%
450655.033280199 1
1.8%
450621.425522546 1
1.8%
450600.779786883 1
1.8%
450515.575725945 1
1.8%

위생업태명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
기타식품판매업
45 
<NA>
11 

Length

Max length7
Median length7
Mean length6.4107143
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 45
80.4%
<NA> 11
 
19.6%

Length

2024-04-18T02:38:15.632470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:15.703502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 45
80.4%
na 11
 
19.6%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
50 
0
 
5
1
 
1

Length

Max length4
Median length4
Mean length3.6785714
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
89.3%
0 5
 
8.9%
1 1
 
1.8%

Length

2024-04-18T02:38:15.782239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:15.868355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
89.3%
0 5
 
8.9%
1 1
 
1.8%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
50 
0
 
5
4
 
1

Length

Max length4
Median length4
Mean length3.6785714
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row<NA>
2nd row4
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 50
89.3%
0 5
 
8.9%
4 1
 
1.8%

Length

2024-04-18T02:38:15.966085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:16.040153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
89.3%
0 5
 
8.9%
4 1
 
1.8%

영업장주변구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
주택가주변
 
5

Length

Max length5
Median length4
Mean length4.0892857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
주택가주변 5
 
8.9%

Length

2024-04-18T02:38:16.115628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:16.187082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
주택가주변 5
 
8.9%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
기타
 
4
관리
 
1

Length

Max length4
Median length4
Mean length3.8214286
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
기타 4
 
7.1%
관리 1
 
1.8%

Length

2024-04-18T02:38:16.266379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:16.342052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
기타 4
 
7.1%
관리 1
 
1.8%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
51 
상수도전용
 
5

Length

Max length5
Median length4
Mean length4.0892857
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
91.1%
상수도전용 5
 
8.9%

Length

2024-04-18T02:38:16.417204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:16.485657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
91.1%
상수도전용 5
 
8.9%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
54 
0
 
2

Length

Max length4
Median length4
Mean length3.8928571
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> 54
96.4%
0 2
 
3.6%

Length

2024-04-18T02:38:16.572550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:16.644956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
96.4%
0 2
 
3.6%

본사종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
32 
<NA>
24 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
57.1%
<NA> 24
42.9%

Length

2024-04-18T02:38:16.719299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:16.793397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
57.1%
na 24
42.9%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
32 
<NA>
24 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
57.1%
<NA> 24
42.9%

Length

2024-04-18T02:38:16.873204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:16.946705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
57.1%
na 24
42.9%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
32 
<NA>
24 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
57.1%
<NA> 24
42.9%

Length

2024-04-18T02:38:17.022604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:17.094700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
57.1%
na 24
42.9%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
0
32 
<NA>
24 

Length

Max length4
Median length1
Mean length2.2857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 32
57.1%
<NA> 24
42.9%

Length

2024-04-18T02:38:17.176578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:17.249101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 32
57.1%
na 24
42.9%

건물소유구분명
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
25 
자가
18 
임대
13 

Length

Max length4
Median length2
Mean length2.8928571
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> 25
44.6%
자가 18
32.1%
임대 13
23.2%

Length

2024-04-18T02:38:17.345458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:17.424731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
44.6%
자가 18
32.1%
임대 13
23.2%

보증액
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
48 
0
8 

Length

Max length4
Median length4
Mean length3.5714286
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> 48
85.7%
0 8
 
14.3%

Length

2024-04-18T02:38:17.508793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:17.579986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
85.7%
0 8
 
14.3%

월세액
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
48 
0
8 

Length

Max length4
Median length4
Mean length3.5714286
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> 48
85.7%
0 8
 
14.3%

Length

2024-04-18T02:38:17.654266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:17.747762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
85.7%
0 8
 
14.3%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.2%
Missing11
Missing (%)19.6%
Memory size244.0 B
False
45 
(Missing)
11 
ValueCountFrequency (%)
False 45
80.4%
(Missing) 11
 
19.6%
2024-04-18T02:38:17.821555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
0.0
44 
<NA>
11 
711.24
 
1

Length

Max length6
Median length3
Mean length3.25
Min length3

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 44
78.6%
<NA> 11
 
19.6%
711.24 1
 
1.8%

Length

2024-04-18T02:38:17.898332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:38:17.974057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 44
78.6%
na 11
 
19.6%
711.24 1
 
1.8%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030400003040000-114-1997-0039019970122<NA>3폐업2폐업19980909<NA><NA><NA>02 4524250<NA>143888서울특별시 광진구 중곡동 79-9<NA><NA>(주)그린벤츄어스2001-11-29 00:00:00I2018-08-31 23:59:59.0기타식품판매업207728.881212450600.779787기타식품판매업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
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230400003040000-114-2000-0055720000302<NA>1영업/정상1영업<NA><NA><NA><NA>02 4446529<NA>143888서울특별시 광진구 중곡동 79-7서울특별시 광진구 영화사로 8 (중곡동)4949신성슈퍼직영2017-08-28 15:26:17I2018-08-31 23:59:59.0기타식품판매업207721.121597450655.03328기타식품판매업00주택가주변기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
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530400003040000-114-2001-0067520011204<NA>3폐업2폐업20050921<NA><NA><NA>02 4658031<NA>143914서울특별시 광진구 화양동 10-1<NA><NA>(주)농협유통화양점2005-01-17 00:00:00I2018-08-31 23:59:59.0기타식품판매업206107.775164449029.342178기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
630400003040000-114-2001-0067620011204<NA>3폐업2폐업20070404<NA><NA><NA>02 4569702<NA>143862서울특별시 광진구 자양동 553-502<NA><NA>(주)지에스리테일 자양점2005-04-12 00:00:00I2018-08-31 23:59:59.0기타식품판매업206278.881632447982.86218기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
730400003040000-114-2001-0067720011204<NA>1영업/정상1영업<NA><NA><NA><NA>02 4653018<NA>143841서울특별시 광진구 자양동 6-20서울특별시 광진구 아차산로30길 39 (자양동)5073(주)조양마트2017-08-28 15:28:16I2018-08-31 23:59:59.0기타식품판매업205886.288968448517.338628기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
830400003040000-114-2001-0067820011204<NA>3폐업2폐업20040524<NA><NA><NA>4993344<NA>143840서울특별시 광진구 군자동 361-6<NA><NA>화양수퍼2002-07-04 00:00:00I2018-08-31 23:59:59.0기타식품판매업<NA><NA>기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
930400003040000-114-2001-0067920011204<NA>1영업/정상1영업<NA><NA><NA><NA>02 46319031,167.99143903서울특별시 광진구 중곡동 229-5서울특별시 광진구 긴고랑로11길 11 (중곡동)4910(주)이마트에브리데이중곡동점2021-04-23 10:06:43U2021-04-25 02:40:00.0기타식품판매업207114.498872451296.049444기타식품판매업<NA><NA><NA><NA><NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
4630400003040000-114-2017-0000120170124<NA>3폐업2폐업20220330<NA><NA><NA>02 454 4540891.00143817서울특별시 광진구 구의동 53-1 지하1층서울특별시 광진구 천호대로 661, 지하1층 (구의동)4954오렌지마트2022-03-30 10:18:25U2021-12-04 00:01:00.0기타식품판매업207919.446968449975.786414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4730400003040000-114-2017-0000220171031<NA>1영업/정상1영업<NA><NA><NA><NA>02 447 3400<NA>143200서울특별시 광진구 구의동 667서울특별시 광진구 아차산로 431, B108호 (구의동, 강변에스케이뷰)5045도깨비식자재마트2017-10-31 14:57:05I2018-08-31 23:59:59.0기타식품판매업207900.435296448492.62533기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
4830400003040000-114-2020-0000120200323<NA>3폐업2폐업20200915<NA><NA><NA>02 4530101505.99143805서울특별시 광진구 광장동 250 광장동 신동아 파밀리에서울특별시 광진구 아차산로 599, 지1층 105, 106, 107, 108, 109호 (광장동, 광장동 신동아 파밀리에)4968이편한스토어2020-09-15 14:33:22U2020-09-17 02:40:00.0기타식품판매업209194.595129449413.151253기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
4930400003040000-114-2020-0000220200707<NA>1영업/정상1영업<NA><NA><NA><NA>02 4586211512.47143959서울특별시 광진구 구의동 223-65 동영빌딩서울특별시 광진구 구의로 28, 동영빌딩 1층 (구의동)5036구의홈마트2020-07-07 11:28:01I2020-07-09 00:23:16.0기타식품판매업207866.804669448680.6447기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
5030400003040000-114-2021-0000120210506<NA>1영업/정상1영업<NA><NA><NA><NA><NA>469.31143805서울특별시 광진구 광장동 250 광장동 신동아 파밀리에서울특별시 광진구 아차산로 599, 지하1층 105-109호 (광장동, 광장동 신동아 파밀리에)4968(주)이마트에브리데이 광나루역점2021-05-06 16:23:30I2021-05-08 00:22:56.0기타식품판매업209194.595129449413.151253기타식품판매업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0.0<NA><NA><NA>
5130400003040000-114-2021-0000220210629<NA>1영업/정상1영업<NA><NA><NA><NA>02 444 8801720.50143200서울특별시 광진구 구의동 671 구의자이르네서울특별시 광진구 광나루로39길 11, 지하1층 B01호 (구의동, 구의자이르네)4977자이 원마트2021-06-29 11:11:48I2021-07-01 00:22:53.0기타식품판매업<NA><NA>기타식품판매업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자가<NA><NA>N0.0<NA><NA><NA>
5230400003040000-114-2021-0000320210820<NA>1영업/정상1영업<NA><NA><NA><NA><NA>350.93143814서울특별시 광진구 광장동 470-10 은석서울특별시 광진구 아차산로 506, 1층 (광장동)4974(주)이마트에브리데이 광장점2021-08-20 15:14:19I2021-08-22 00:22:50.0기타식품판매업208558.933964448800.055402기타식품판매업00<NA><NA><NA>00000자가00N0.0<NA><NA><NA>
5330400003040000-114-2022-0000120220318<NA>1영업/정상1영업<NA><NA><NA><NA>02 46166001,299.40143915서울특별시 광진구 화양동 110-37 화양타워 1층서울특별시 광진구 능동로19길 47, 화양타워 1층 (화양동)5009애플마트화양점2022-03-18 11:48:06I2022-03-20 00:22:35.0기타식품판매업206219.841921449420.862074기타식품판매업00<NA><NA><NA>00000임대00N0.0<NA><NA><NA>
5430400003040000-114-2022-0000220220414<NA>1영업/정상1영업<NA><NA><NA><NA>02 4544540999.43143817서울특별시 광진구 구의동 53-1 정성빌딩서울특별시 광진구 천호대로 661, 정성빌딩 지하1층 (구의동)4954주식회사 정성마트2022-04-14 14:32:27I2021-12-03 23:06:00.0기타식품판매업207919.446968449975.786414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5530400003040000-114-2022-0000320220513<NA>1영업/정상1영업<NA><NA><NA><NA>02 499 3001461.10143840서울특별시 광진구 군자동 362-1 동일흥업주식회사서울특별시 광진구 군자로 70, 가동 1층 101,102호 (군자동)5004화양슈퍼2022-05-13 15:22:58I2021-12-04 23:05:00.0기타식품판매업206212.747884449662.647324<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>