Overview

Dataset statistics

Number of variables44
Number of observations1985
Missing cells19770
Missing cells (%)22.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory729.0 KiB
Average record size in memory376.1 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-18230/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
영업상태코드 is highly imbalanced (64.9%)Imbalance
영업상태명 is highly imbalanced (64.9%)Imbalance
상세영업상태코드 is highly imbalanced (64.9%)Imbalance
상세영업상태명 is highly imbalanced (64.9%)Imbalance
데이터갱신구분 is highly imbalanced (52.4%)Imbalance
위생업태명 is highly imbalanced (69.9%)Imbalance
영업장주변구분명 is highly imbalanced (50.8%)Imbalance
총인원 is highly imbalanced (89.6%)Imbalance
시설총규모 is highly imbalanced (83.6%)Imbalance
인허가취소일자 has 1985 (100.0%) missing valuesMissing
폐업일자 has 131 (6.6%) missing valuesMissing
휴업시작일자 has 1985 (100.0%) missing valuesMissing
휴업종료일자 has 1985 (100.0%) missing valuesMissing
재개업일자 has 1985 (100.0%) missing valuesMissing
전화번호 has 400 (20.2%) missing valuesMissing
소재지면적 has 1760 (88.7%) missing valuesMissing
도로명주소 has 1470 (74.1%) missing valuesMissing
도로명우편번호 has 1510 (76.1%) missing valuesMissing
좌표정보(X) has 247 (12.4%) missing valuesMissing
좌표정보(Y) has 247 (12.4%) missing valuesMissing
다중이용업소여부 has 106 (5.3%) missing valuesMissing
전통업소지정번호 has 1985 (100.0%) missing valuesMissing
전통업소주된음식 has 1985 (100.0%) missing valuesMissing
홈페이지 has 1985 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 69 (3.5%) zerosZeros

Reproduction

Analysis started2024-04-29 19:39:59.356078
Analysis finished2024-04-29 19:40:00.562070
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
3030000
1985 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3030000 1985
100.0%

Length

2024-04-30T04:40:00.617827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:00.701674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 1985
100.0%

관리번호
Text

UNIQUE 

Distinct1985
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-04-30T04:40:00.845049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters43670
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

Unique1985 ?
Unique (%)100.0%

Sample

1st row3030000-112-1976-00089
2nd row3030000-112-1980-00299
3rd row3030000-112-1981-00002
4th row3030000-112-1981-00005
5th row3030000-112-1981-00013
ValueCountFrequency (%)
3030000-112-1976-00089 1
 
0.1%
3030000-112-2003-00029 1
 
0.1%
3030000-112-2003-00043 1
 
0.1%
3030000-112-2003-00042 1
 
0.1%
3030000-112-2003-00041 1
 
0.1%
3030000-112-2003-00040 1
 
0.1%
3030000-112-2003-00039 1
 
0.1%
3030000-112-2003-00038 1
 
0.1%
3030000-112-2003-00037 1
 
0.1%
3030000-112-2003-00036 1
 
0.1%
Other values (1975) 1975
99.5%
2024-04-30T04:40:01.103776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17511
40.1%
1 6281
 
14.4%
- 5955
 
13.6%
3 4781
 
10.9%
2 4039
 
9.2%
9 2104
 
4.8%
8 756
 
1.7%
6 588
 
1.3%
5 569
 
1.3%
4 548
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37715
86.4%
Dash Punctuation 5955
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17511
46.4%
1 6281
 
16.7%
3 4781
 
12.7%
2 4039
 
10.7%
9 2104
 
5.6%
8 756
 
2.0%
6 588
 
1.6%
5 569
 
1.5%
4 548
 
1.5%
7 538
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 5955
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17511
40.1%
1 6281
 
14.4%
- 5955
 
13.6%
3 4781
 
10.9%
2 4039
 
9.2%
9 2104
 
4.8%
8 756
 
1.7%
6 588
 
1.3%
5 569
 
1.3%
4 548
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17511
40.1%
1 6281
 
14.4%
- 5955
 
13.6%
3 4781
 
10.9%
2 4039
 
9.2%
9 2104
 
4.8%
8 756
 
1.7%
6 588
 
1.3%
5 569
 
1.3%
4 548
 
1.3%
Distinct1048
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum1976-01-16 00:00:00
Maximum2024-04-05 00:00:00
2024-04-30T04:40:01.221074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:40:01.332580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1985
Missing (%)100.0%
Memory size17.6 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
3
1854 
1
 
131

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 1854
93.4%
1 131
 
6.6%

Length

2024-04-30T04:40:01.444493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:01.534750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1854
93.4%
1 131
 
6.6%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
폐업
1854 
영업/정상
 
131

Length

Max length5
Median length2
Mean length2.1979849
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1854
93.4%
영업/정상 131
 
6.6%

Length

2024-04-30T04:40:01.625050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:01.711698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1854
93.4%
영업/정상 131
 
6.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2
1854 
1
 
131

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 1854
93.4%
1 131
 
6.6%

Length

2024-04-30T04:40:01.794506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:01.876061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1854
93.4%
1 131
 
6.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
폐업
1854 
영업
 
131

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 1854
93.4%
영업 131
 
6.6%

Length

2024-04-30T04:40:01.954093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:02.027267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1854
93.4%
영업 131
 
6.6%

폐업일자
Date

MISSING 

Distinct1139
Distinct (%)61.4%
Missing131
Missing (%)6.6%
Memory size15.6 KiB
Minimum1988-06-10 00:00:00
Maximum2024-04-09 00:00:00
2024-04-30T04:40:02.111749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:40:02.229291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1985
Missing (%)100.0%
Memory size17.6 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1985
Missing (%)100.0%
Memory size17.6 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1985
Missing (%)100.0%
Memory size17.6 KiB

전화번호
Text

MISSING 

Distinct1003
Distinct (%)63.3%
Missing400
Missing (%)20.2%
Memory size15.6 KiB
2024-04-30T04:40:02.453983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.7583596
Min length2

Characters and Unicode

Total characters13882
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique948 ?
Unique (%)59.8%

Sample

1st row02
2nd row02 4644827
3rd row02
4th row02
5th row02
ValueCountFrequency (%)
02 704
34.0%
0200000000 143
 
6.9%
0222900098 30
 
1.4%
4632266 18
 
0.9%
5111762 15
 
0.7%
0222932111 15
 
0.7%
0222900096 10
 
0.5%
4606756 10
 
0.5%
0222907310 9
 
0.4%
9607472 8
 
0.4%
Other values (1013) 1109
53.5%
2024-04-30T04:40:02.792441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3550
25.6%
2 3517
25.3%
9 1075
 
7.7%
4 984
 
7.1%
6 972
 
7.0%
1 785
 
5.7%
3 656
 
4.7%
8 601
 
4.3%
5 600
 
4.3%
7 571
 
4.1%
Other values (2) 571
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13311
95.9%
Space Separator 569
 
4.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3550
26.7%
2 3517
26.4%
9 1075
 
8.1%
4 984
 
7.4%
6 972
 
7.3%
1 785
 
5.9%
3 656
 
4.9%
8 601
 
4.5%
5 600
 
4.5%
7 571
 
4.3%
Space Separator
ValueCountFrequency (%)
569
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13882
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3550
25.6%
2 3517
25.3%
9 1075
 
7.7%
4 984
 
7.1%
6 972
 
7.0%
1 785
 
5.7%
3 656
 
4.7%
8 601
 
4.3%
5 600
 
4.3%
7 571
 
4.1%
Other values (2) 571
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3550
25.6%
2 3517
25.3%
9 1075
 
7.7%
4 984
 
7.1%
6 972
 
7.0%
1 785
 
5.7%
3 656
 
4.7%
8 601
 
4.3%
5 600
 
4.3%
7 571
 
4.1%
Other values (2) 571
 
4.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)14.7%
Missing1760
Missing (%)88.7%
Infinite0
Infinite (%)0.0%
Mean3.36
Minimum0
Maximum49.5
Zeros69
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
2024-04-30T04:40:02.924686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33.3
95-th percentile11.6
Maximum49.5
Range49.5
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation7.2790628
Coefficient of variation (CV)2.1663877
Kurtosis20.682978
Mean3.36
Median Absolute Deviation (MAD)1.5
Skewness4.4083063
Sum756
Variance52.984755
MonotonicityNot monotonic
2024-04-30T04:40:03.018062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 69
 
3.5%
1.0 37
 
1.9%
3.3 35
 
1.8%
1.5 19
 
1.0%
3.6 12
 
0.6%
5.0 9
 
0.5%
4.0 6
 
0.3%
3.0 4
 
0.2%
6.0 3
 
0.2%
6.6 3
 
0.2%
Other values (23) 28
 
1.4%
(Missing) 1760
88.7%
ValueCountFrequency (%)
0.0 69
3.5%
0.16 1
 
0.1%
0.2 2
 
0.1%
0.8 1
 
0.1%
1.0 37
1.9%
1.5 19
 
1.0%
1.65 2
 
0.1%
1.88 1
 
0.1%
2.0 2
 
0.1%
2.4 3
 
0.2%
ValueCountFrequency (%)
49.5 1
0.1%
47.36 1
0.1%
40.0 1
0.1%
38.29 1
0.1%
36.3 1
0.1%
33.0 1
0.1%
30.42 1
0.1%
26.49 1
0.1%
21.0 1
0.1%
18.0 1
0.1%
Distinct142
Distinct (%)7.2%
Missing2
Missing (%)0.1%
Memory size15.6 KiB
2024-04-30T04:40:03.216725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0302572
Min length6

Characters and Unicode

Total characters11958
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 (%)2.2%

Sample

1st row133881
2nd row133828
3rd row133880
4th row133836
5th row133832
ValueCountFrequency (%)
133871 154
 
7.8%
133832 101
 
5.1%
133882 60
 
3.0%
133849 58
 
2.9%
133867 48
 
2.4%
133803 47
 
2.4%
133823 46
 
2.3%
133835 46
 
2.3%
133866 44
 
2.2%
133827 43
 
2.2%
Other values (132) 1336
67.4%
2024-04-30T04:40:03.534245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4506
37.7%
1 2483
20.8%
8 2103
17.6%
2 588
 
4.9%
0 493
 
4.1%
7 461
 
3.9%
4 347
 
2.9%
5 334
 
2.8%
6 330
 
2.8%
9 253
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11898
99.5%
Dash Punctuation 60
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4506
37.9%
1 2483
20.9%
8 2103
17.7%
2 588
 
4.9%
0 493
 
4.1%
7 461
 
3.9%
4 347
 
2.9%
5 334
 
2.8%
6 330
 
2.8%
9 253
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 4506
37.7%
1 2483
20.8%
8 2103
17.6%
2 588
 
4.9%
0 493
 
4.1%
7 461
 
3.9%
4 347
 
2.9%
5 334
 
2.8%
6 330
 
2.8%
9 253
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4506
37.7%
1 2483
20.8%
8 2103
17.6%
2 588
 
4.9%
0 493
 
4.1%
7 461
 
3.9%
4 347
 
2.9%
5 334
 
2.8%
6 330
 
2.8%
9 253
 
2.1%
Distinct1640
Distinct (%)82.7%
Missing2
Missing (%)0.1%
Memory size15.6 KiB
2024-04-30T04:40:03.849181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length45
Mean length23.918306
Min length16

Characters and Unicode

Total characters47430
Distinct characters330
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1491 ?
Unique (%)75.2%

Sample

1st row서울특별시 성동구 홍익동 365-3
2nd row서울특별시 성동구 성수동2가 565-8
3rd row서울특별시 성동구 홍익동 125-0
4th row서울특별시 성동구 송정동 61-14
5th row서울특별시 성동구 성수동2가 277-15
ValueCountFrequency (%)
서울특별시 1983
22.1%
성동구 1983
22.1%
행당동 418
 
4.7%
성수동2가 388
 
4.3%
성수동1가 253
 
2.8%
지상1층 243
 
2.7%
용답동 143
 
1.6%
마장동 129
 
1.4%
17 112
 
1.3%
하왕십리동 111
 
1.2%
Other values (1714) 3190
35.6%
2024-04-30T04:40:04.264850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8833
18.6%
4025
 
8.5%
2669
 
5.6%
1 2240
 
4.7%
2011
 
4.2%
1994
 
4.2%
1993
 
4.2%
1987
 
4.2%
1987
 
4.2%
1983
 
4.2%
Other values (320) 17708
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26603
56.1%
Decimal Number 9716
 
20.5%
Space Separator 8833
 
18.6%
Dash Punctuation 1545
 
3.3%
Open Punctuation 308
 
0.6%
Close Punctuation 307
 
0.6%
Other Punctuation 59
 
0.1%
Uppercase Letter 56
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4025
15.1%
2669
10.0%
2011
 
7.6%
1994
 
7.5%
1993
 
7.5%
1987
 
7.5%
1987
 
7.5%
1983
 
7.5%
883
 
3.3%
749
 
2.8%
Other values (280) 6322
23.8%
Uppercase Letter
ValueCountFrequency (%)
T 11
19.6%
K 5
8.9%
E 4
 
7.1%
N 4
 
7.1%
R 4
 
7.1%
O 4
 
7.1%
S 3
 
5.4%
D 3
 
5.4%
H 3
 
5.4%
G 3
 
5.4%
Other values (8) 12
21.4%
Decimal Number
ValueCountFrequency (%)
1 2240
23.1%
2 1639
16.9%
3 874
 
9.0%
6 853
 
8.8%
7 850
 
8.7%
5 729
 
7.5%
0 681
 
7.0%
4 669
 
6.9%
9 615
 
6.3%
8 566
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 38
64.4%
. 10
 
16.9%
@ 6
 
10.2%
/ 4
 
6.8%
: 1
 
1.7%
Space Separator
ValueCountFrequency (%)
8833
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1545
100.0%
Open Punctuation
ValueCountFrequency (%)
( 308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 307
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26603
56.1%
Common 20769
43.8%
Latin 58
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4025
15.1%
2669
10.0%
2011
 
7.6%
1994
 
7.5%
1993
 
7.5%
1987
 
7.5%
1987
 
7.5%
1983
 
7.5%
883
 
3.3%
749
 
2.8%
Other values (280) 6322
23.8%
Common
ValueCountFrequency (%)
8833
42.5%
1 2240
 
10.8%
2 1639
 
7.9%
- 1545
 
7.4%
3 874
 
4.2%
6 853
 
4.1%
7 850
 
4.1%
5 729
 
3.5%
0 681
 
3.3%
4 669
 
3.2%
Other values (10) 1856
 
8.9%
Latin
ValueCountFrequency (%)
T 11
19.0%
K 5
 
8.6%
E 4
 
6.9%
N 4
 
6.9%
R 4
 
6.9%
O 4
 
6.9%
S 3
 
5.2%
D 3
 
5.2%
H 3
 
5.2%
G 3
 
5.2%
Other values (10) 14
24.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26603
56.1%
ASCII 20826
43.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8833
42.4%
1 2240
 
10.8%
2 1639
 
7.9%
- 1545
 
7.4%
3 874
 
4.2%
6 853
 
4.1%
7 850
 
4.1%
5 729
 
3.5%
0 681
 
3.3%
4 669
 
3.2%
Other values (29) 1913
 
9.2%
Hangul
ValueCountFrequency (%)
4025
15.1%
2669
10.0%
2011
 
7.6%
1994
 
7.5%
1993
 
7.5%
1987
 
7.5%
1987
 
7.5%
1983
 
7.5%
883
 
3.3%
749
 
2.8%
Other values (280) 6322
23.8%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명주소
Text

MISSING 

Distinct511
Distinct (%)99.2%
Missing1470
Missing (%)74.1%
Memory size15.6 KiB
2024-04-30T04:40:04.512155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length46
Mean length33.328155
Min length21

Characters and Unicode

Total characters17164
Distinct characters267
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique508 ?
Unique (%)98.6%

Sample

1st row서울특별시 성동구 성덕정17길 1 (성수동2가)
2nd row서울특별시 성동구 매봉9길 23 (옥수동)
3rd row서울특별시 성동구 독서당로 171 (옥수동)
4th row서울특별시 성동구 왕십리로 121 (성수동1가)
5th row서울특별시 성동구 독서당로 306 (금호동4가)
ValueCountFrequency (%)
서울특별시 515
 
15.9%
성동구 515
 
15.9%
1층 130
 
4.0%
행당동 85
 
2.6%
왕십리로 82
 
2.5%
성수동2가 78
 
2.4%
성수동1가 59
 
1.8%
용답동 35
 
1.1%
지하 31
 
1.0%
하왕십리동 31
 
1.0%
Other values (729) 1687
51.9%
2024-04-30T04:40:04.871558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2734
 
15.9%
1123
 
6.5%
1 859
 
5.0%
739
 
4.3%
) 563
 
3.3%
( 563
 
3.3%
556
 
3.2%
533
 
3.1%
523
 
3.0%
522
 
3.0%
Other values (257) 8449
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10048
58.5%
Space Separator 2734
 
15.9%
Decimal Number 2603
 
15.2%
Close Punctuation 563
 
3.3%
Open Punctuation 563
 
3.3%
Other Punctuation 502
 
2.9%
Dash Punctuation 94
 
0.5%
Uppercase Letter 52
 
0.3%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1123
 
11.2%
739
 
7.4%
556
 
5.5%
533
 
5.3%
523
 
5.2%
522
 
5.2%
515
 
5.1%
515
 
5.1%
379
 
3.8%
285
 
2.8%
Other values (216) 4358
43.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
 
11.5%
S 5
 
9.6%
K 4
 
7.7%
R 3
 
5.8%
O 3
 
5.8%
A 3
 
5.8%
I 3
 
5.8%
T 3
 
5.8%
E 3
 
5.8%
U 3
 
5.8%
Other values (11) 16
30.8%
Decimal Number
ValueCountFrequency (%)
1 859
33.0%
2 484
18.6%
3 245
 
9.4%
0 222
 
8.5%
4 172
 
6.6%
5 144
 
5.5%
6 142
 
5.5%
7 136
 
5.2%
9 104
 
4.0%
8 95
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 498
99.2%
: 2
 
0.4%
@ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
2734
100.0%
Close Punctuation
ValueCountFrequency (%)
) 563
100.0%
Open Punctuation
ValueCountFrequency (%)
( 563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10048
58.5%
Common 7062
41.1%
Latin 54
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1123
 
11.2%
739
 
7.4%
556
 
5.5%
533
 
5.3%
523
 
5.2%
522
 
5.2%
515
 
5.1%
515
 
5.1%
379
 
3.8%
285
 
2.8%
Other values (216) 4358
43.4%
Latin
ValueCountFrequency (%)
B 6
 
11.1%
S 5
 
9.3%
K 4
 
7.4%
R 3
 
5.6%
O 3
 
5.6%
A 3
 
5.6%
I 3
 
5.6%
T 3
 
5.6%
E 3
 
5.6%
U 3
 
5.6%
Other values (13) 18
33.3%
Common
ValueCountFrequency (%)
2734
38.7%
1 859
 
12.2%
) 563
 
8.0%
( 563
 
8.0%
, 498
 
7.1%
2 484
 
6.9%
3 245
 
3.5%
0 222
 
3.1%
4 172
 
2.4%
5 144
 
2.0%
Other values (8) 578
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10048
58.5%
ASCII 7115
41.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2734
38.4%
1 859
 
12.1%
) 563
 
7.9%
( 563
 
7.9%
, 498
 
7.0%
2 484
 
6.8%
3 245
 
3.4%
0 222
 
3.1%
4 172
 
2.4%
5 144
 
2.0%
Other values (30) 631
 
8.9%
Hangul
ValueCountFrequency (%)
1123
 
11.2%
739
 
7.4%
556
 
5.5%
533
 
5.3%
523
 
5.2%
522
 
5.2%
515
 
5.1%
515
 
5.1%
379
 
3.8%
285
 
2.8%
Other values (216) 4358
43.4%
Number Forms
ValueCountFrequency (%)
1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)20.0%
Missing1510
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean4755.8526
Minimum4700
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
2024-04-30T04:40:05.006843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4705
Q14724
median4760
Q34784
95-th percentile4804
Maximum4808
Range108
Interquartile range (IQR)60

Descriptive statistics

Standard deviation33.841455
Coefficient of variation (CV)0.0071157492
Kurtosis-1.35555
Mean4755.8526
Median Absolute Deviation (MAD)32
Skewness-0.11537258
Sum2259030
Variance1145.2441
MonotonicityNot monotonic
2024-04-30T04:40:05.129746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4804 17
 
0.9%
4782 15
 
0.8%
4763 15
 
0.8%
4751 15
 
0.8%
4778 13
 
0.7%
4714 13
 
0.7%
4710 12
 
0.6%
4779 11
 
0.6%
4796 10
 
0.5%
4701 10
 
0.5%
Other values (85) 344
 
17.3%
(Missing) 1510
76.1%
ValueCountFrequency (%)
4700 2
 
0.1%
4701 10
0.5%
4703 3
 
0.2%
4704 7
0.4%
4705 3
 
0.2%
4706 5
0.3%
4707 9
0.5%
4708 8
0.4%
4709 9
0.5%
4710 12
0.6%
ValueCountFrequency (%)
4808 6
 
0.3%
4807 2
 
0.1%
4806 3
 
0.2%
4805 9
0.5%
4804 17
0.9%
4803 4
 
0.2%
4802 4
 
0.2%
4801 6
 
0.3%
4800 4
 
0.2%
4799 5
 
0.3%
Distinct1563
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-04-30T04:40:05.355845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length5.884131
Min length1

Characters and Unicode

Total characters11680
Distinct characters568
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

Unique1422 ?
Unique (%)71.6%

Sample

1st row심완조
2nd row(구)삼성약국
3rd row이선주
4th row김난영
5th row김선제
ValueCountFrequency (%)
한양대학교장학복지회 41
 
1.8%
씨유 28
 
1.3%
주식회사 25
 
1.1%
심완조 25
 
1.1%
gs25 24
 
1.1%
덕은 23
 
1.0%
엠코테크놀러지 20
 
0.9%
한양대학교병원 17
 
0.8%
주)휘닉스벤딩서비스 16
 
0.7%
cu 14
 
0.6%
Other values (1612) 1994
89.5%
2024-04-30T04:40:05.915205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
 
2.1%
227
 
1.9%
221
 
1.9%
199
 
1.7%
195
 
1.7%
186
 
1.6%
185
 
1.6%
184
 
1.6%
183
 
1.6%
) 176
 
1.5%
Other values (558) 9680
82.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10492
89.8%
Decimal Number 289
 
2.5%
Space Separator 244
 
2.1%
Uppercase Letter 241
 
2.1%
Close Punctuation 176
 
1.5%
Open Punctuation 174
 
1.5%
Lowercase Letter 32
 
0.3%
Dash Punctuation 22
 
0.2%
Other Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
227
 
2.2%
221
 
2.1%
199
 
1.9%
195
 
1.9%
186
 
1.8%
185
 
1.8%
184
 
1.8%
183
 
1.7%
175
 
1.7%
174
 
1.7%
Other values (506) 8563
81.6%
Uppercase Letter
ValueCountFrequency (%)
S 48
19.9%
C 43
17.8%
G 41
17.0%
U 29
12.0%
P 12
 
5.0%
T 10
 
4.1%
I 7
 
2.9%
L 6
 
2.5%
B 6
 
2.5%
E 6
 
2.5%
Other values (13) 33
13.7%
Lowercase Letter
ValueCountFrequency (%)
c 5
15.6%
e 5
15.6%
o 4
12.5%
u 4
12.5%
a 3
9.4%
m 2
 
6.2%
h 2
 
6.2%
f 2
 
6.2%
z 2
 
6.2%
r 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 117
40.5%
5 66
22.8%
1 30
 
10.4%
0 29
 
10.0%
4 19
 
6.6%
3 15
 
5.2%
8 5
 
1.7%
7 4
 
1.4%
6 3
 
1.0%
9 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
? 4
40.0%
, 1
 
10.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10492
89.8%
Common 915
 
7.8%
Latin 273
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
227
 
2.2%
221
 
2.1%
199
 
1.9%
195
 
1.9%
186
 
1.8%
185
 
1.8%
184
 
1.8%
183
 
1.7%
175
 
1.7%
174
 
1.7%
Other values (506) 8563
81.6%
Latin
ValueCountFrequency (%)
S 48
17.6%
C 43
15.8%
G 41
15.0%
U 29
10.6%
P 12
 
4.4%
T 10
 
3.7%
I 7
 
2.6%
L 6
 
2.2%
B 6
 
2.2%
E 6
 
2.2%
Other values (25) 65
23.8%
Common
ValueCountFrequency (%)
244
26.7%
) 176
19.2%
( 174
19.0%
2 117
12.8%
5 66
 
7.2%
1 30
 
3.3%
0 29
 
3.2%
- 22
 
2.4%
4 19
 
2.1%
3 15
 
1.6%
Other values (7) 23
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10492
89.8%
ASCII 1188
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
20.5%
) 176
14.8%
( 174
14.6%
2 117
9.8%
5 66
 
5.6%
S 48
 
4.0%
C 43
 
3.6%
G 41
 
3.5%
1 30
 
2.5%
U 29
 
2.4%
Other values (42) 220
18.5%
Hangul
ValueCountFrequency (%)
227
 
2.2%
221
 
2.1%
199
 
1.9%
195
 
1.9%
186
 
1.8%
185
 
1.8%
184
 
1.8%
183
 
1.7%
175
 
1.7%
174
 
1.7%
Other values (506) 8563
81.6%
Distinct823
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum1999-06-04 00:00:00
Maximum2024-04-09 12:19:05
2024-04-30T04:40:06.042652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:40:06.176459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
I
1782 
U
203 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1782
89.8%
U 203
 
10.2%

Length

2024-04-30T04:40:06.299855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:06.398430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1782
89.8%
u 203
 
10.2%
Distinct175
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:40:06.487696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:40:06.611487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
식품자동판매기영업
1985 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 1985
100.0%

Length

2024-04-30T04:40:06.718982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:06.800391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 1985
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1128
Distinct (%)64.9%
Missing247
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean203683.69
Minimum200812.99
Maximum206323.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
2024-04-30T04:40:06.894210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200812.99
5-th percentile201662.11
Q1202872.31
median203684.13
Q3204614.27
95-th percentile205584.98
Maximum206323.24
Range5510.2467
Interquartile range (IQR)1741.9665

Descriptive statistics

Standard deviation1178.5889
Coefficient of variation (CV)0.0057863688
Kurtosis-0.63854311
Mean203683.69
Median Absolute Deviation (MAD)868.85639
Skewness-0.15203408
Sum3.5400225 × 108
Variance1389071.9
MonotonicityNot monotonic
2024-04-30T04:40:07.055817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203684.127182478 136
 
6.9%
205691.055434708 23
 
1.2%
205165.479713555 19
 
1.0%
203115.577609321 14
 
0.7%
203033.815491943 14
 
0.7%
203999.01117035 12
 
0.6%
203311.645927 12
 
0.6%
203948.80339906 11
 
0.6%
204614.272744322 11
 
0.6%
201502.287348747 10
 
0.5%
Other values (1118) 1476
74.4%
(Missing) 247
 
12.4%
ValueCountFrequency (%)
200812.992681398 1
0.1%
200886.870660767 1
0.1%
200896.532906303 2
0.1%
200896.962737 1
0.1%
200951.206580662 1
0.1%
200961.01452 1
0.1%
200967.537033206 1
0.1%
201003.806213 1
0.1%
201035.83276 1
0.1%
201040.203347749 1
0.1%
ValueCountFrequency (%)
206323.239342256 1
0.1%
206299.734441078 1
0.1%
206267.144320265 1
0.1%
206243.875021499 1
0.1%
206209.280864162 1
0.1%
206203.256423765 2
0.1%
206111.359005992 1
0.1%
206066.311217529 1
0.1%
206056.752950075 1
0.1%
206046.344908131 1
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1128
Distinct (%)64.9%
Missing247
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean450209.17
Minimum448058.89
Maximum452161.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.6 KiB
2024-04-30T04:40:07.250729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448058.89
5-th percentile448511.37
Q1449350.05
median450374.22
Q3451096.33
95-th percentile451736.19
Maximum452161.24
Range4102.347
Interquartile range (IQR)1746.2795

Descriptive statistics

Standard deviation1047.0489
Coefficient of variation (CV)0.0023256944
Kurtosis-1.177229
Mean450209.17
Median Absolute Deviation (MAD)903.17093
Skewness-0.085332565
Sum7.8246354 × 108
Variance1096311.5
MonotonicityNot monotonic
2024-04-30T04:40:07.455540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450698.570810848 136
 
6.9%
449350.053759627 23
 
1.2%
449251.514100076 19
 
1.0%
452148.339373773 14
 
0.7%
451096.333215396 14
 
0.7%
449452.657052213 12
 
0.6%
451309.048112 12
 
0.6%
449467.828385773 11
 
0.6%
448607.441251647 11
 
0.6%
448644.208009526 10
 
0.5%
Other values (1118) 1476
74.4%
(Missing) 247
 
12.4%
ValueCountFrequency (%)
448058.89494688 2
0.1%
448074.599156032 1
0.1%
448152.667195649 1
0.1%
448175.694252303 2
0.1%
448179.869576203 1
0.1%
448196.044738964 2
0.1%
448211.874610481 1
0.1%
448228.610508055 1
0.1%
448229.126737125 1
0.1%
448241.50093862 1
0.1%
ValueCountFrequency (%)
452161.241926058 2
 
0.1%
452148.339373773 14
0.7%
452132.397540245 2
 
0.1%
452108.522149464 1
 
0.1%
452107.488347577 1
 
0.1%
452099.882909057 3
 
0.2%
452098.622697627 1
 
0.1%
452092.840534158 1
 
0.1%
452035.039804075 1
 
0.1%
452023.599802329 10
0.5%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
식품자동판매기영업
1879 
<NA>
 
106

Length

Max length9
Median length9
Mean length8.7329975
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품자동판매기영업 1879
94.7%
<NA> 106
 
5.3%

Length

2024-04-30T04:40:07.585998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:07.674102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품자동판매기영업 1879
94.7%
na 106
 
5.3%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
0
980 
<NA>
877 
1
128 

Length

Max length4
Median length1
Mean length2.3254408
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 980
49.4%
<NA> 877
44.2%
1 128
 
6.4%

Length

2024-04-30T04:40:07.771471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:07.863657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 980
49.4%
na 877
44.2%
1 128
 
6.4%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
0
1070 
<NA>
889 
1
 
26

Length

Max length4
Median length1
Mean length2.3435768
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1070
53.9%
<NA> 889
44.8%
1 26
 
1.3%

Length

2024-04-30T04:40:07.966784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:08.062806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1070
53.9%
na 889
44.8%
1 26
 
1.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
기타
987 
<NA>
830 
주택가주변
152 
아파트지역
 
9
학교정화(상대)
 
4
Other values (2)
 
3

Length

Max length8
Median length5
Mean length3.1007557
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 987
49.7%
<NA> 830
41.8%
주택가주변 152
 
7.7%
아파트지역 9
 
0.5%
학교정화(상대) 4
 
0.2%
유흥업소밀집지역 2
 
0.1%
학교정화(절대) 1
 
0.1%

Length

2024-04-30T04:40:08.159763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:08.253556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 987
49.7%
na 830
41.8%
주택가주변 152
 
7.7%
아파트지역 9
 
0.5%
학교정화(상대 4
 
0.2%
유흥업소밀집지역 2
 
0.1%
학교정화(절대 1
 
0.1%

등급구분명
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
기타
978 
<NA>
830 
지도
175 
 
1
 
1

Length

Max length4
Median length2
Mean length2.8352645
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 978
49.3%
<NA> 830
41.8%
지도 175
 
8.8%
1
 
0.1%
1
 
0.1%

Length

2024-04-30T04:40:08.363998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:08.463023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 978
49.3%
na 830
41.8%
지도 175
 
8.8%
1
 
0.1%
1
 
0.1%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1079 
상수도전용
906 

Length

Max length5
Median length4
Mean length4.4564232
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1079
54.4%
상수도전용 906
45.6%

Length

2024-04-30T04:40:08.553350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:08.631558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1079
54.4%
상수도전용 906
45.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1958 
0
 
27

Length

Max length4
Median length4
Mean length3.959194
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> 1958
98.6%
0 27
 
1.4%

Length

2024-04-30T04:40:08.726046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:08.817457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1958
98.6%
0 27
 
1.4%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
0
1317 
<NA>
668 

Length

Max length4
Median length1
Mean length2.0095718
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1317
66.3%
<NA> 668
33.7%

Length

2024-04-30T04:40:08.902082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:08.983083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1317
66.3%
na 668
33.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
0
1317 
<NA>
668 

Length

Max length4
Median length1
Mean length2.0095718
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1317
66.3%
<NA> 668
33.7%

Length

2024-04-30T04:40:09.077344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:09.166487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1317
66.3%
na 668
33.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
0
1317 
<NA>
668 

Length

Max length4
Median length1
Mean length2.0095718
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1317
66.3%
<NA> 668
33.7%

Length

2024-04-30T04:40:09.261748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:09.344186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1317
66.3%
na 668
33.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
0
1317 
<NA>
668 

Length

Max length4
Median length1
Mean length2.0095718
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1317
66.3%
<NA> 668
33.7%

Length

2024-04-30T04:40:09.430324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:09.512370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1317
66.3%
na 668
33.7%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1549 
자가
408 
임대
 
28

Length

Max length4
Median length4
Mean length3.5607053
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> 1549
78.0%
자가 408
 
20.6%
임대 28
 
1.4%

Length

2024-04-30T04:40:09.614597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:09.719472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1549
78.0%
자가 408
 
20.6%
임대 28
 
1.4%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1728 
0
257 

Length

Max length4
Median length4
Mean length3.6115869
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> 1728
87.1%
0 257
 
12.9%

Length

2024-04-30T04:40:09.832250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:09.950760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1728
87.1%
0 257
 
12.9%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
<NA>
1728 
0
257 

Length

Max length4
Median length4
Mean length3.6115869
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> 1728
87.1%
0 257
 
12.9%

Length

2024-04-30T04:40:10.043668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:10.143189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1728
87.1%
0 257
 
12.9%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing106
Missing (%)5.3%
Memory size4.0 KiB
False
1879 
(Missing)
 
106
ValueCountFrequency (%)
False 1879
94.7%
(Missing) 106
 
5.3%
2024-04-30T04:40:10.210364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
0.0
1874 
<NA>
 
106
1.0
 
3
0.2
 
2

Length

Max length4
Median length3
Mean length3.0534005
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 1874
94.4%
<NA> 106
 
5.3%
1.0 3
 
0.2%
0.2 2
 
0.1%

Length

2024-04-30T04:40:10.295896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:40:10.394031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1874
94.4%
na 106
 
5.3%
1.0 3
 
0.2%
0.2 2
 
0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1985
Missing (%)100.0%
Memory size17.6 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1985
Missing (%)100.0%
Memory size17.6 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1985
Missing (%)100.0%
Memory size17.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030300003030000-112-1976-0008919760116<NA>3폐업2폐업19891121<NA><NA><NA>02<NA>133881서울특별시 성동구 홍익동 365-3<NA><NA>심완조2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업202664.073067451516.749479식품자동판매기영업10기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130300003030000-112-1980-0029919801015<NA>3폐업2폐업20190808<NA><NA><NA>02 4644827<NA>133828서울특별시 성동구 성수동2가 565-8서울특별시 성동구 성덕정17길 1 (성수동2가)4776(구)삼성약국2019-08-08 14:00:48U2019-08-10 02:40:00.0식품자동판매기영업204809.067541448352.735481식품자동판매기영업10기타지도상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
230300003030000-112-1981-0000219811012<NA>3폐업2폐업19961230<NA><NA><NA>02<NA>133880서울특별시 성동구 홍익동 125-0<NA><NA>이선주2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업203114.758597451504.766996식품자동판매기영업10기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330300003030000-112-1981-0000519811014<NA>3폐업2폐업19950301<NA><NA><NA>02<NA>133836서울특별시 성동구 송정동 61-14<NA><NA>김난영2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업01기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430300003030000-112-1981-0001319811012<NA>3폐업2폐업19951223<NA><NA><NA>02<NA>133832서울특별시 성동구 성수동2가 277-15<NA><NA>김선제2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업205086.016485449380.694222식품자동판매기영업10기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
530300003030000-112-1981-0014419810106<NA>3폐업2폐업19920527<NA><NA><NA>02<NA>133871서울특별시 성동구 행당동 17-0<NA><NA>심완조2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업203684.127182450698.570811식품자동판매기영업10기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630300003030000-112-1981-0014819810106<NA>3폐업2폐업19970702<NA><NA><NA>02<NA>133858서울특별시 성동구 하왕십리동 964-745<NA><NA>심완조2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업<NA><NA>식품자동판매기영업10기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730300003030000-112-1981-0015919810106<NA>3폐업2폐업19960214<NA><NA><NA>02 4166416<NA>133851서울특별시 성동구 용답동 249-8<NA><NA>유정순2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업205003.125518450892.974084식품자동판매기영업01기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
830300003030000-112-1981-0017519810106<NA>3폐업2폐업19960410<NA><NA><NA>02<NA>133837서울특별시 성동구 송정동 81-7<NA><NA>동방빌딩내2001-09-25 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업205104.983458449640.895455식품자동판매기영업01기타지도<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
930300003030000-112-1981-0026019810116<NA>3폐업2폐업20050420<NA><NA><NA>0200000000<NA>133866서울특별시 성동구 행당동 168-1<NA><NA>(재)홍익회2002-02-05 00:00:00I2018-08-31 23:59:59.0식품자동판매기영업203292.151899451267.730901식품자동판매기영업00기타기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
197530300003030000-112-2023-000102023-09-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>47.36133-858서울특별시 성동구 하왕십리동 983-10서울특별시 성동구 무학봉길 65, 1층 (하왕십리동)4710데이롱카페 왕십리 무학봉점2023-09-12 09:44:05I2022-12-08 23:04:00.0식품자동판매기영업202573.012262450955.921987<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
197630300003030000-112-2023-000112023-09-25<NA>1영업/정상1영업<NA><NA><NA><NA>02 166111670.0133-825서울특별시 성동구 성수동1가 685-700 아크로 서울포레스트서울특별시 성동구 왕십리로 83-21, 지하2층 (성수동1가, 아크로 서울포레스트)4769비트현대글로비스점2024-01-11 14:15:45U2023-11-30 23:03:00.0식품자동판매기영업203806.203689449125.358928<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
197730300003030000-112-2023-000122023-11-17<NA>1영업/정상1영업<NA><NA><NA><NA>070 70761215<NA>133-094서울특별시 성동구 금호동4가 1553 힐스테이트 서울숲리버서울특별시 성동구 독서당로 344 (금호동4가, 힐스테이트 서울숲리버)4743서울숲리버 무인커피2024-02-27 19:45:53U2023-12-01 22:09:00.0식품자동판매기영업202277.937068449393.800969<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
197830300003030000-112-2023-000132023-11-17<NA>1영업/정상1영업<NA><NA><NA><NA>070 70761215<NA>133-020서울특별시 성동구 하왕십리동 1071 왕십리자이서울특별시 성동구 난계로 100 (하왕십리동, 왕십리자이)4711왕십리자이 무인커피2024-02-27 19:44:45U2023-12-01 22:09:00.0식품자동판매기영업202120.602383450909.325916<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
197930300003030000-112-2023-000142023-11-30<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3133-817서울특별시 성동구 사근동 165서울특별시 성동구 사근동8길 12, 1층 (사근동)4762씨유 한양대사근점2023-11-30 14:38:55I2022-11-02 00:02:00.0식품자동판매기영업204052.346662450873.062398<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
198030300003030000-112-2023-000152023-12-13<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>133-867서울특별시 성동구 행당동 245서울특별시 성동구 왕십리로 287, 2층 (행당동)4744왕십리 다방2023-12-13 14:46:59I2022-11-01 23:05:00.0식품자동판매기영업203128.125887450839.751238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
198130300003030000-112-2024-000032024-02-22<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0133-803서울특별시 성동구 금호동2가 470서울특별시 성동구 무수막길 85, 1층 (금호동2가)4726커피, 한잔2024-02-22 17:52:39I2023-12-01 22:04:00.0식품자동판매기영업201724.434726450131.071984<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
198230300003030000-112-2024-000042024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>133-832서울특별시 성동구 성수동2가 278-51 윈스타워서울특별시 성동구 아차산로11길 27, 윈스타워 1층 101호 (성수동2가)4796포인트정보2024-03-04 15:05:00I2023-12-03 00:06:00.0식품자동판매기영업205214.696074449326.791808<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
198330300003030000-112-2024-000052024-03-04<NA>1영업/정상1영업<NA><NA><NA><NA>02 511 5997<NA>133-831서울특별시 성동구 성수동2가 273-13 태광산업서울특별시 성동구 연무장15길 11, 에스팩토리 가(B)동 1층 128호 (성수동2가)4783주식회사 이레에프앤비코리아 커피자판기2024-03-04 16:26:24I2023-12-03 00:06:00.0식품자동판매기영업205167.535546448920.682564<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
198430300003030000-112-2024-000062024-04-05<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0133-824서울특별시 성동구 성수동1가 668-13 거암아트빌라서울특별시 성동구 서울숲6길 14, 거암아트빌라 4층 (성수동1가)4768너즐(Nuzzle)2024-04-05 13:43:20I2023-12-04 00:07:00.0식품자동판매기영업203735.354304449472.508622<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>