Overview

Dataset statistics

Number of variables44
Number of observations408
Missing cells3674
Missing cells (%)20.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.3 KiB
Average record size in memory377.3 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric5
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-18538/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
등급구분명 is highly imbalanced (54.6%)Imbalance
총인원 is highly imbalanced (88.9%)Imbalance
본사종업원수 is highly imbalanced (88.9%)Imbalance
공장사무직종업원수 is highly imbalanced (88.9%)Imbalance
공장판매직종업원수 is highly imbalanced (88.9%)Imbalance
공장생산직종업원수 is highly imbalanced (88.9%)Imbalance
보증액 is highly imbalanced (88.9%)Imbalance
월세액 is highly imbalanced (88.9%)Imbalance
다중이용업소여부 is highly imbalanced (83.9%)Imbalance
전통업소지정번호 is highly imbalanced (87.5%)Imbalance
인허가취소일자 has 408 (100.0%) missing valuesMissing
폐업일자 has 119 (29.2%) missing valuesMissing
휴업시작일자 has 408 (100.0%) missing valuesMissing
휴업종료일자 has 408 (100.0%) missing valuesMissing
재개업일자 has 408 (100.0%) missing valuesMissing
전화번호 has 61 (15.0%) missing valuesMissing
도로명주소 has 242 (59.3%) missing valuesMissing
도로명우편번호 has 245 (60.0%) missing valuesMissing
좌표정보(X) has 6 (1.5%) missing valuesMissing
좌표정보(Y) has 6 (1.5%) missing valuesMissing
건물소유구분명 has 408 (100.0%) missing valuesMissing
다중이용업소여부 has 69 (16.9%) missing valuesMissing
시설총규모 has 69 (16.9%) missing valuesMissing
전통업소주된음식 has 408 (100.0%) missing valuesMissing
홈페이지 has 408 (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
건물소유구분명 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 started2024-04-29 19:44:43.190902
Analysis finished2024-04-29 19:44:44.025089
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3110000
408 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 408
100.0%

Length

2024-04-30T04:44:44.088886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:44.196664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 408
100.0%

관리번호
Text

UNIQUE 

Distinct408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-30T04:44:44.342741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters8976
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

Unique408 ?
Unique (%)100.0%

Sample

1st row3110000-103-1992-05913
2nd row3110000-103-1993-04288
3rd row3110000-103-1993-04289
4th row3110000-103-1993-04290
5th row3110000-103-1993-04292
ValueCountFrequency (%)
3110000-103-1992-05913 1
 
0.2%
3110000-103-1996-06097 1
 
0.2%
3110000-103-1997-04535 1
 
0.2%
3110000-103-1997-04534 1
 
0.2%
3110000-103-1997-04532 1
 
0.2%
3110000-103-1997-04509 1
 
0.2%
3110000-103-1997-04442 1
 
0.2%
3110000-103-1997-04439 1
 
0.2%
3110000-103-1996-07242 1
 
0.2%
3110000-103-1996-06417 1
 
0.2%
Other values (398) 398
97.5%
2024-04-30T04:44:44.608889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2815
31.4%
1 1697
18.9%
- 1224
13.6%
3 1066
 
11.9%
9 786
 
8.8%
4 561
 
6.2%
5 235
 
2.6%
6 179
 
2.0%
2 172
 
1.9%
7 137
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7752
86.4%
Dash Punctuation 1224
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2815
36.3%
1 1697
21.9%
3 1066
 
13.8%
9 786
 
10.1%
4 561
 
7.2%
5 235
 
3.0%
6 179
 
2.3%
2 172
 
2.2%
7 137
 
1.8%
8 104
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1224
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8976
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2815
31.4%
1 1697
18.9%
- 1224
13.6%
3 1066
 
11.9%
9 786
 
8.8%
4 561
 
6.2%
5 235
 
2.6%
6 179
 
2.0%
2 172
 
1.9%
7 137
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2815
31.4%
1 1697
18.9%
- 1224
13.6%
3 1066
 
11.9%
9 786
 
8.8%
4 561
 
6.2%
5 235
 
2.6%
6 179
 
2.0%
2 172
 
1.9%
7 137
 
1.5%

인허가일자
Date

Distinct352
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1992-11-03 00:00:00
Maximum2021-11-10 00:00:00
2024-04-30T04:44:44.730508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:44:44.840174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
3
289 
1
119 

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 (%)
3 289
70.8%
1 119
29.2%

Length

2024-04-30T04:44:44.941970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:45.024949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 289
70.8%
1 119
29.2%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
289 
영업/정상
119 

Length

Max length5
Median length2
Mean length2.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 289
70.8%
영업/정상 119
29.2%

Length

2024-04-30T04:44:45.122126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:45.215081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 289
70.8%
영업/정상 119
29.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2
289 
1
119 

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 (%)
2 289
70.8%
1 119
29.2%

Length

2024-04-30T04:44:45.307799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:45.389729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 289
70.8%
1 119
29.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
폐업
289 
영업
119 

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 289
70.8%
영업 119
29.2%

Length

2024-04-30T04:44:45.472033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:45.552792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 289
70.8%
영업 119
29.2%

폐업일자
Date

MISSING 

Distinct247
Distinct (%)85.5%
Missing119
Missing (%)29.2%
Memory size3.3 KiB
Minimum1993-12-29 00:00:00
Maximum2024-04-19 00:00:00
2024-04-30T04:44:45.652393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:44:45.770139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

전화번호
Text

MISSING 

Distinct314
Distinct (%)90.5%
Missing61
Missing (%)15.0%
Memory size3.3 KiB
2024-04-30T04:44:45.991696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.3544669
Min length2

Characters and Unicode

Total characters3246
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

Unique308 ?
Unique (%)88.8%

Sample

1st row02 3523131
2nd row02 3878163
3rd row0203868881
4th row02 3555939
5th row02 3583664
ValueCountFrequency (%)
02 268
45.1%
3592643 2
 
0.3%
3863200 2
 
0.3%
3586256 2
 
0.3%
3883164 2
 
0.3%
3020498 2
 
0.3%
357 2
 
0.3%
3867650 1
 
0.2%
3896282 1
 
0.2%
3876321 1
 
0.2%
Other values (311) 311
52.4%
2024-04-30T04:44:46.346318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 627
19.3%
3 522
16.1%
2 502
15.5%
8 270
8.3%
5 266
8.2%
253
7.8%
6 179
 
5.5%
7 164
 
5.1%
9 161
 
5.0%
4 156
 
4.8%
Other values (2) 146
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2992
92.2%
Space Separator 253
 
7.8%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 627
21.0%
3 522
17.4%
2 502
16.8%
8 270
9.0%
5 266
8.9%
6 179
 
6.0%
7 164
 
5.5%
9 161
 
5.4%
4 156
 
5.2%
1 145
 
4.8%
Space Separator
ValueCountFrequency (%)
253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 627
19.3%
3 522
16.1%
2 502
15.5%
8 270
8.3%
5 266
8.2%
253
7.8%
6 179
 
5.5%
7 164
 
5.1%
9 161
 
5.0%
4 156
 
4.8%
Other values (2) 146
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 627
19.3%
3 522
16.1%
2 502
15.5%
8 270
8.3%
5 266
8.2%
253
7.8%
6 179
 
5.5%
7 164
 
5.1%
9 161
 
5.0%
4 156
 
4.8%
Other values (2) 146
 
4.5%

소재지면적
Real number (ℝ)

Distinct396
Distinct (%)97.3%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean96.175946
Minimum14.27
Maximum281.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-30T04:44:46.484750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.27
5-th percentile49.853
Q174.125
median90.97
Q3120.42
95-th percentile146.094
Maximum281.3
Range267.03
Interquartile range (IQR)46.295

Descriptive statistics

Standard deviation33.431561
Coefficient of variation (CV)0.34760835
Kurtosis3.2516822
Mean96.175946
Median Absolute Deviation (MAD)21.81
Skewness0.93626604
Sum39143.61
Variance1117.6693
MonotonicityNot monotonic
2024-04-30T04:44:46.595115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137.0 3
 
0.7%
105.05 2
 
0.5%
61.98 2
 
0.5%
89.09 2
 
0.5%
78.18 2
 
0.5%
89.84 2
 
0.5%
136.61 2
 
0.5%
130.06 2
 
0.5%
86.1 2
 
0.5%
90.64 2
 
0.5%
Other values (386) 386
94.6%
ValueCountFrequency (%)
14.27 1
0.2%
23.43 1
0.2%
29.3 1
0.2%
29.82 1
0.2%
31.31 1
0.2%
31.34 1
0.2%
33.63 1
0.2%
34.05 1
0.2%
34.68 1
0.2%
35.53 1
0.2%
ValueCountFrequency (%)
281.3 1
0.2%
264.06 1
0.2%
223.34 1
0.2%
206.7 1
0.2%
172.41 1
0.2%
155.8 1
0.2%
151.6 1
0.2%
150.22 1
0.2%
149.72 1
0.2%
149.1 1
0.2%

소재지우편번호
Text

Distinct85
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-30T04:44:46.801125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1151961
Min length6

Characters and Unicode

Total characters2495
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

Unique28 ?
Unique (%)6.9%

Sample

1st row122859
2nd row122833
3rd row122860
4th row122810
5th row122842
ValueCountFrequency (%)
122924 31
 
7.6%
122858 27
 
6.6%
122842 26
 
6.4%
122809 25
 
6.1%
122837 24
 
5.9%
122808 18
 
4.4%
122923 17
 
4.2%
122959 15
 
3.7%
122907 12
 
2.9%
122810 12
 
2.9%
Other values (75) 201
49.3%
2024-04-30T04:44:47.124890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 937
37.6%
1 462
18.5%
8 345
 
13.8%
9 196
 
7.9%
0 129
 
5.2%
4 114
 
4.6%
3 101
 
4.0%
5 70
 
2.8%
7 70
 
2.8%
- 47
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2448
98.1%
Dash Punctuation 47
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 937
38.3%
1 462
18.9%
8 345
 
14.1%
9 196
 
8.0%
0 129
 
5.3%
4 114
 
4.7%
3 101
 
4.1%
5 70
 
2.9%
7 70
 
2.9%
6 24
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 937
37.6%
1 462
18.5%
8 345
 
13.8%
9 196
 
7.9%
0 129
 
5.2%
4 114
 
4.6%
3 101
 
4.0%
5 70
 
2.8%
7 70
 
2.8%
- 47
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 937
37.6%
1 462
18.5%
8 345
 
13.8%
9 196
 
7.9%
0 129
 
5.2%
4 114
 
4.6%
3 101
 
4.0%
5 70
 
2.8%
7 70
 
2.8%
- 47
 
1.9%

지번주소
Text

Distinct389
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-30T04:44:47.379666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length24.14951
Min length18

Characters and Unicode

Total characters9853
Distinct characters58
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

Unique371 ?
Unique (%)90.9%

Sample

1st row서울특별시 은평구 불광동 302-13번지
2nd row서울특별시 은평구 녹번동 141-39번지
3rd row서울특별시 은평구 불광동 484-73번지
4th row서울특별시 은평구 갈현동 422-35번지
5th row서울특별시 은평구 대조동 186-4번지
ValueCountFrequency (%)
서울특별시 408
22.4%
은평구 408
22.4%
응암동 102
 
5.6%
갈현동 93
 
5.1%
지층 87
 
4.8%
대조동 76
 
4.2%
지하1층 55
 
3.0%
불광동 48
 
2.6%
녹번동 38
 
2.1%
역촌동 18
 
1.0%
Other values (402) 489
26.8%
2024-04-30T04:44:47.953225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1752
17.8%
지 485
 
4.9%
1 428
 
4.3%
구 410
 
4.2%
동 410
 
4.2%
서 408
 
4.1%
특 408
 
4.1%
별 408
 
4.1%
시 408
 
4.1%
은 408
 
4.1%
Other values (48) 4328
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5555
56.4%
Decimal Number 1926
 
19.5%
Space Separator 1752
 
17.8%
Dash Punctuation 405
 
4.1%
Open Punctuation 101
 
1.0%
Close Punctuation 101
 
1.0%
Other Punctuation 12
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 485
 
8.7%
구 410
 
7.4%
동 410
 
7.4%
서 408
 
7.3%
특 408
 
7.3%
별 408
 
7.3%
시 408
 
7.3%
은 408
 
7.3%
평 408
 
7.3%
울 408
 
7.3%
Other values (31) 1394
25.1%
Decimal Number
ValueCountFrequency (%)
1 428
22.2%
2 248
12.9%
5 213
11.1%
4 197
10.2%
9 173
9.0%
3 169
 
8.8%
8 149
 
7.7%
6 130
 
6.7%
0 117
 
6.1%
7 102
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 11
91.7%
. 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1752
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 405
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5555
56.4%
Common 4297
43.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 485
 
8.7%
구 410
 
7.4%
동 410
 
7.4%
서 408
 
7.3%
특 408
 
7.3%
별 408
 
7.3%
시 408
 
7.3%
은 408
 
7.3%
평 408
 
7.3%
울 408
 
7.3%
Other values (31) 1394
25.1%
Common
ValueCountFrequency (%)
1752
40.8%
1 428
 
10.0%
- 405
 
9.4%
2 248
 
5.8%
5 213
 
5.0%
4 197
 
4.6%
9 173
 
4.0%
3 169
 
3.9%
8 149
 
3.5%
6 130
 
3.0%
Other values (6) 433
 
10.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5555
56.4%
ASCII 4298
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1752
40.8%
1 428
 
10.0%
- 405
 
9.4%
2 248
 
5.8%
5 213
 
5.0%
4 197
 
4.6%
9 173
 
4.0%
3 169
 
3.9%
8 149
 
3.5%
6 130
 
3.0%
Other values (7) 434
 
10.1%
Hangul
ValueCountFrequency (%)
지 485
 
8.7%
구 410
 
7.4%
동 410
 
7.4%
서 408
 
7.3%
특 408
 
7.3%
별 408
 
7.3%
시 408
 
7.3%
은 408
 
7.3%
평 408
 
7.3%
울 408
 
7.3%
Other values (31) 1394
25.1%

도로명주소
Text

MISSING 

Distinct164
Distinct (%)98.8%
Missing242
Missing (%)59.3%
Memory size3.3 KiB
2024-04-30T04:44:48.163507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length28.03012
Min length21

Characters and Unicode

Total characters4653
Distinct characters67
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

Unique162 ?
Unique (%)97.6%

Sample

1st row서울특별시 은평구 갈현로 303 (갈현동)
2nd row서울특별시 은평구 응암로 339, 지1층 (응암동)
3rd row서울특별시 은평구 응암로 336 (응암동, 지하1층)
4th row서울특별시 은평구 증산서길 3 (증산동)
5th row서울특별시 은평구 갈현로 302 (갈현동)
ValueCountFrequency (%)
서울특별시 166
18.5%
은평구 166
18.5%
통일로 28
 
3.1%
지층 28
 
3.1%
갈현동 27
 
3.0%
응암동 27
 
3.0%
지하1층 22
 
2.5%
대조동 22
 
2.5%
응암로 20
 
2.2%
연서로 16
 
1.8%
Other values (209) 374
41.7%
2024-04-30T04:44:48.519144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
730
 
15.7%
) 211
 
4.5%
( 211
 
4.5%
서 208
 
4.5%
은 182
 
3.9%
평 182
 
3.9%
1 178
 
3.8%
구 167
 
3.6%
동 167
 
3.6%
특 166
 
3.6%
Other values (57) 2251
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2689
57.8%
Space Separator 730
 
15.7%
Decimal Number 633
 
13.6%
Close Punctuation 211
 
4.5%
Open Punctuation 211
 
4.5%
Other Punctuation 129
 
2.8%
Dash Punctuation 49
 
1.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 208
 
7.7%
은 182
 
6.8%
평 182
 
6.8%
구 167
 
6.2%
동 167
 
6.2%
특 166
 
6.2%
시 166
 
6.2%
울 166
 
6.2%
별 166
 
6.2%
로 165
 
6.1%
Other values (40) 954
35.5%
Decimal Number
ValueCountFrequency (%)
1 178
28.1%
2 106
16.7%
3 62
 
9.8%
6 56
 
8.8%
8 49
 
7.7%
7 46
 
7.3%
5 40
 
6.3%
9 37
 
5.8%
0 31
 
4.9%
4 28
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 128
99.2%
. 1
 
0.8%
Space Separator
ValueCountFrequency (%)
730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2689
57.8%
Common 1963
42.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 208
 
7.7%
은 182
 
6.8%
평 182
 
6.8%
구 167
 
6.2%
동 167
 
6.2%
특 166
 
6.2%
시 166
 
6.2%
울 166
 
6.2%
별 166
 
6.2%
로 165
 
6.1%
Other values (40) 954
35.5%
Common
ValueCountFrequency (%)
730
37.2%
) 211
 
10.7%
( 211
 
10.7%
1 178
 
9.1%
, 128
 
6.5%
2 106
 
5.4%
3 62
 
3.2%
6 56
 
2.9%
- 49
 
2.5%
8 49
 
2.5%
Other values (6) 183
 
9.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2689
57.8%
ASCII 1964
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
730
37.2%
) 211
 
10.7%
( 211
 
10.7%
1 178
 
9.1%
, 128
 
6.5%
2 106
 
5.4%
3 62
 
3.2%
6 56
 
2.9%
- 49
 
2.5%
8 49
 
2.5%
Other values (7) 184
 
9.4%
Hangul
ValueCountFrequency (%)
서 208
 
7.7%
은 182
 
6.8%
평 182
 
6.8%
구 167
 
6.2%
동 167
 
6.2%
특 166
 
6.2%
시 166
 
6.2%
울 166
 
6.2%
별 166
 
6.2%
로 165
 
6.1%
Other values (40) 954
35.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)31.3%
Missing245
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean3400.6994
Minimum3315
Maximum3502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-30T04:44:48.630455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3315
5-th percentile3329.1
Q13350
median3387
Q33457
95-th percentile3485
Maximum3502
Range187
Interquartile range (IQR)107

Descriptive statistics

Standard deviation54.843114
Coefficient of variation (CV)0.01612701
Kurtosis-1.2931382
Mean3400.6994
Median Absolute Deviation (MAD)56
Skewness0.22958839
Sum554314
Variance3007.7671
MonotonicityNot monotonic
2024-04-30T04:44:48.762348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3330 13
 
3.2%
3368 13
 
3.2%
3385 10
 
2.5%
3331 8
 
2.0%
3460 7
 
1.7%
3396 6
 
1.5%
3397 6
 
1.5%
3456 6
 
1.5%
3485 6
 
1.5%
3459 5
 
1.2%
Other values (41) 83
 
20.3%
(Missing) 245
60.0%
ValueCountFrequency (%)
3315 1
 
0.2%
3328 4
 
1.0%
3329 4
 
1.0%
3330 13
3.2%
3331 8
2.0%
3333 1
 
0.2%
3335 1
 
0.2%
3340 1
 
0.2%
3342 1
 
0.2%
3344 1
 
0.2%
ValueCountFrequency (%)
3502 3
0.7%
3489 2
 
0.5%
3485 6
1.5%
3484 5
1.2%
3478 4
1.0%
3472 1
 
0.2%
3467 3
0.7%
3464 2
 
0.5%
3462 1
 
0.2%
3461 1
 
0.2%

사업장명
Text

Distinct377
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-04-30T04:44:49.002385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length4.3235294
Min length1

Characters and Unicode

Total characters1764
Distinct characters367
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique350 ?
Unique (%)85.8%

Sample

1st row한양관광호텔파인칵테일바
2nd row산수갑산
3rd row발로만단란주점
4th row밀라노단란주점
5th row스마일
ValueCountFrequency (%)
라이브 5
 
1.1%
월드컵 4
 
0.9%
동경 4
 
0.9%
킹 4
 
0.9%
7080 3
 
0.7%
단란주점 3
 
0.7%
뉴욕 3
 
0.7%
블루 3
 
0.7%
노래밤 3
 
0.7%
차차차 2
 
0.5%
Other values (378) 402
92.2%
2024-04-30T04:44:49.361489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 92
 
5.2%
점 90
 
5.1%
란 81
 
4.6%
단 81
 
4.6%
노 42
 
2.4%
래 40
 
2.3%
이 39
 
2.2%
리 35
 
2.0%
스 31
 
1.8%
28
 
1.6%
Other values (357) 1205
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1658
94.0%
Decimal Number 42
 
2.4%
Space Separator 28
 
1.6%
Uppercase Letter 14
 
0.8%
Lowercase Letter 6
 
0.3%
Open Punctuation 5
 
0.3%
Other Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 92
 
5.5%
점 90
 
5.4%
란 81
 
4.9%
단 81
 
4.9%
노 42
 
2.5%
래 40
 
2.4%
이 39
 
2.4%
리 35
 
2.1%
스 31
 
1.9%
라 25
 
1.5%
Other values (331) 1102
66.5%
Uppercase Letter
ValueCountFrequency (%)
M 4
28.6%
D 2
14.3%
G 2
14.3%
B 1
 
7.1%
C 1
 
7.1%
Q 1
 
7.1%
E 1
 
7.1%
I 1
 
7.1%
F 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 17
40.5%
7 11
26.2%
8 7
16.7%
2 3
 
7.1%
1 2
 
4.8%
3 1
 
2.4%
9 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
u 1
16.7%
f 1
16.7%
n 1
16.7%
s 1
16.7%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1658
94.0%
Common 85
 
4.8%
Latin 21
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 92
 
5.5%
점 90
 
5.4%
란 81
 
4.9%
단 81
 
4.9%
노 42
 
2.5%
래 40
 
2.4%
이 39
 
2.4%
리 35
 
2.1%
스 31
 
1.9%
라 25
 
1.5%
Other values (331) 1102
66.5%
Latin
ValueCountFrequency (%)
M 4
19.0%
D 2
 
9.5%
o 2
 
9.5%
G 2
 
9.5%
u 1
 
4.8%
f 1
 
4.8%
n 1
 
4.8%
B 1
 
4.8%
C 1
 
4.8%
Q 1
 
4.8%
Other values (5) 5
23.8%
Common
ValueCountFrequency (%)
28
32.9%
0 17
20.0%
7 11
 
12.9%
8 7
 
8.2%
( 5
 
5.9%
. 5
 
5.9%
) 5
 
5.9%
2 3
 
3.5%
1 2
 
2.4%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1658
94.0%
ASCII 105
 
6.0%
Number Forms 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 92
 
5.5%
점 90
 
5.4%
란 81
 
4.9%
단 81
 
4.9%
노 42
 
2.5%
래 40
 
2.4%
이 39
 
2.4%
리 35
 
2.1%
스 31
 
1.9%
라 25
 
1.5%
Other values (331) 1102
66.5%
ASCII
ValueCountFrequency (%)
28
26.7%
0 17
16.2%
7 11
 
10.5%
8 7
 
6.7%
( 5
 
4.8%
. 5
 
4.8%
) 5
 
4.8%
M 4
 
3.8%
2 3
 
2.9%
D 2
 
1.9%
Other values (15) 18
17.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

최종수정일자
Date

Distinct279
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum1999-04-23 00:00:00
Maximum2024-04-25 16:37:32
2024-04-30T04:44:49.484538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:44:49.776649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
I
302 
U
106 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 302
74.0%
U 106
 
26.0%

Length

2024-04-30T04:44:49.892361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:49.979425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 302
74.0%
u 106
 
26.0%

데이터갱신일자
Date

Distinct94
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T04:44:50.087117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:44:50.213219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
단란주점
408 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 408
100.0%

Length

2024-04-30T04:44:50.324255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:50.405150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 408
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)84.8%
Missing6
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean192879.1
Minimum190588.49
Maximum194030.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-30T04:44:50.521670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190588.49
5-th percentile191985.98
Q1192608.78
median192832.3
Q3193244.68
95-th percentile193836.42
Maximum194030.16
Range3441.6657
Interquartile range (IQR)635.90346

Descriptive statistics

Standard deviation632.28656
Coefficient of variation (CV)0.0032781497
Kurtosis3.0859099
Mean192879.1
Median Absolute Deviation (MAD)274.97271
Skewness-1.1455146
Sum77537398
Variance399786.29
MonotonicityNot monotonic
2024-04-30T04:44:50.642043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192831.93935169 3
 
0.7%
192836.897720507 3
 
0.7%
192565.042051109 3
 
0.7%
192480.448629367 3
 
0.7%
193030.549438695 3
 
0.7%
192971.265433996 2
 
0.5%
193184.317578126 2
 
0.5%
193898.441175919 2
 
0.5%
192765.643714547 2
 
0.5%
192817.477664135 2
 
0.5%
Other values (331) 377
92.4%
(Missing) 6
 
1.5%
ValueCountFrequency (%)
190588.493221499 1
0.2%
190628.880971368 1
0.2%
190648.995217639 1
0.2%
190661.668310498 1
0.2%
190727.419366884 1
0.2%
190741.823964705 1
0.2%
190747.262077592 1
0.2%
190752.800159079 1
0.2%
190759.62031997 1
0.2%
190770.139550776 1
0.2%
ValueCountFrequency (%)
194030.158957686 1
0.2%
193986.989766489 2
0.5%
193903.333435372 2
0.5%
193898.441175919 2
0.5%
193888.615030772 2
0.5%
193880.239697857 1
0.2%
193872.804583368 2
0.5%
193868.154939764 1
0.2%
193868.070522297 1
0.2%
193863.639047178 1
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct341
Distinct (%)84.8%
Missing6
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean456097.83
Minimum453042.77
Maximum458244.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-30T04:44:50.768311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453042.77
5-th percentile453912.99
Q1455164.68
median456326.47
Q3457292.67
95-th percentile457617.2
Maximum458244.03
Range5201.2571
Interquartile range (IQR)2127.9956

Descriptive statistics

Standard deviation1303.1947
Coefficient of variation (CV)0.0028572701
Kurtosis-0.93026495
Mean456097.83
Median Absolute Deviation (MAD)990.0685
Skewness-0.48789157
Sum1.8335133 × 108
Variance1698316.4
MonotonicityNot monotonic
2024-04-30T04:44:50.885631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457310.965291155 3
 
0.7%
457550.455409125 3
 
0.7%
454222.084119125 3
 
0.7%
454130.620015583 3
 
0.7%
457283.116536759 3
 
0.7%
457307.662835628 2
 
0.5%
455517.065987603 2
 
0.5%
456326.47304601 2
 
0.5%
457190.201888685 2
 
0.5%
457290.447803121 2
 
0.5%
Other values (331) 377
92.4%
(Missing) 6
 
1.5%
ValueCountFrequency (%)
453042.77464924 1
0.2%
453328.114670148 1
0.2%
453358.246805546 2
0.5%
453359.41928672 1
0.2%
453364.447894042 1
0.2%
453375.123820275 1
0.2%
453379.921770515 1
0.2%
453384.910806693 1
0.2%
453385.382719846 1
0.2%
453401.545995001 1
0.2%
ValueCountFrequency (%)
458244.031739654 1
0.2%
458152.899467895 1
0.2%
457985.07762493 1
0.2%
457960.372256542 1
0.2%
457960.214858791 1
0.2%
457953.648543296 1
0.2%
457945.538981549 1
0.2%
457920.765618746 1
0.2%
457913.395782448 1
0.2%
457890.660078399 2
0.5%

위생업태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
단란주점
339 
<NA>
69 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 339
83.1%
<NA> 69
 
16.9%

Length

2024-04-30T04:44:50.981173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:51.074888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 339
83.1%
na 69
 
16.9%

남성종사자수
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
172 
<NA>
162 
1
59 
2
 
14
3
 
1

Length

Max length4
Median length1
Mean length2.1911765
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 172
42.2%
<NA> 162
39.7%
1 59
 
14.5%
2 14
 
3.4%
3 1
 
0.2%

Length

2024-04-30T04:44:51.186759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:51.281436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 172
42.2%
na 162
39.7%
1 59
 
14.5%
2 14
 
3.4%
3 1
 
0.2%

여성종사자수
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
164 
0
162 
1
55 
2
21 
3
 
6

Length

Max length4
Median length1
Mean length2.2058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
40.2%
0 162
39.7%
1 55
 
13.5%
2 21
 
5.1%
3 6
 
1.5%

Length

2024-04-30T04:44:51.374372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:51.467739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
40.2%
0 162
39.7%
1 55
 
13.5%
2 21
 
5.1%
3 6
 
1.5%

영업장주변구분명
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
주택가주변
128 
기타
116 
<NA>
102 
유흥업소밀집지역
54 
학교정화(상대)
 
7

Length

Max length8
Median length7
Mean length4.3504902
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
주택가주변 128
31.4%
기타 116
28.4%
<NA> 102
25.0%
유흥업소밀집지역 54
13.2%
학교정화(상대) 7
 
1.7%
결혼예식장주변 1
 
0.2%

Length

2024-04-30T04:44:51.559907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:51.675970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택가주변 128
31.4%
기타 116
28.4%
na 102
25.0%
유흥업소밀집지역 54
13.2%
학교정화(상대 7
 
1.7%
결혼예식장주변 1
 
0.2%

등급구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
자율
287 
<NA>
108 
기타
 
10
지도
 
2
을
 
1

Length

Max length4
Median length2
Mean length2.5269608
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
자율 287
70.3%
<NA> 108
 
26.5%
기타 10
 
2.5%
지도 2
 
0.5%
을 1
 
0.2%

Length

2024-04-30T04:44:51.795339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:51.886195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자율 287
70.3%
na 108
 
26.5%
기타 10
 
2.5%
지도 2
 
0.5%
을 1
 
0.2%

급수시설구분명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
상수도전용
289 
<NA>
114 
상수도(음용)지하수(주방용)겸용
 
5

Length

Max length17
Median length5
Mean length4.8676471
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 289
70.8%
<NA> 114
 
27.9%
상수도(음용)지하수(주방용)겸용 5
 
1.2%

Length

2024-04-30T04:44:51.991242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:52.084119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 289
70.8%
na 114
 
27.9%
상수도(음용)지하수(주방용)겸용 5
 
1.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
402 
0
 
6

Length

Max length4
Median length4
Mean length3.9558824
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> 402
98.5%
0 6
 
1.5%

Length

2024-04-30T04:44:52.180662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:52.273477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
98.5%
0 6
 
1.5%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
402 
0
 
6

Length

Max length4
Median length4
Mean length3.9558824
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> 402
98.5%
0 6
 
1.5%

Length

2024-04-30T04:44:52.370912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:52.458372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
98.5%
0 6
 
1.5%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
402 
0
 
6

Length

Max length4
Median length4
Mean length3.9558824
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> 402
98.5%
0 6
 
1.5%

Length

2024-04-30T04:44:52.561280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:52.660096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
98.5%
0 6
 
1.5%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
402 
0
 
6

Length

Max length4
Median length4
Mean length3.9558824
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> 402
98.5%
0 6
 
1.5%

Length

2024-04-30T04:44:52.745782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:52.826006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
98.5%
0 6
 
1.5%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
402 
0
 
6

Length

Max length4
Median length4
Mean length3.9558824
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> 402
98.5%
0 6
 
1.5%

Length

2024-04-30T04:44:52.913231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:52.996060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
98.5%
0 6
 
1.5%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
402 
0
 
6

Length

Max length4
Median length4
Mean length3.9558824
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> 402
98.5%
0 6
 
1.5%

Length

2024-04-30T04:44:53.100226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:53.198620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
98.5%
0 6
 
1.5%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
402 
0
 
6

Length

Max length4
Median length4
Mean length3.9558824
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> 402
98.5%
0 6
 
1.5%

Length

2024-04-30T04:44:53.286314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:53.370072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 402
98.5%
0 6
 
1.5%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.6%
Missing69
Missing (%)16.9%
Memory size948.0 B
False
331 
True
 
8
(Missing)
69 
ValueCountFrequency (%)
False 331
81.1%
True 8
 
2.0%
(Missing) 69
 
16.9%
2024-04-30T04:44:53.441766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct329
Distinct (%)97.1%
Missing69
Missing (%)16.9%
Infinite0
Infinite (%)0.0%
Mean95.435959
Minimum0
Maximum281.3
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-04-30T04:44:53.533385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.569
Q172.855
median92.15
Q3119.455
95-th percentile145.513
Maximum281.3
Range281.3
Interquartile range (IQR)46.6

Descriptive statistics

Standard deviation34.115091
Coefficient of variation (CV)0.3574658
Kurtosis3.4229776
Mean95.435959
Median Absolute Deviation (MAD)22.73
Skewness0.86875926
Sum32352.79
Variance1163.8395
MonotonicityNot monotonic
2024-04-30T04:44:53.659431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137.0 3
 
0.7%
105.05 2
 
0.5%
90.64 2
 
0.5%
130.06 2
 
0.5%
89.09 2
 
0.5%
86.1 2
 
0.5%
89.84 2
 
0.5%
136.61 2
 
0.5%
61.98 2
 
0.5%
88.36 1
 
0.2%
Other values (319) 319
78.2%
(Missing) 69
 
16.9%
ValueCountFrequency (%)
0.0 1
0.2%
14.27 1
0.2%
23.43 1
0.2%
29.3 1
0.2%
29.82 1
0.2%
31.31 1
0.2%
33.63 1
0.2%
34.05 1
0.2%
34.68 1
0.2%
35.53 1
0.2%
ValueCountFrequency (%)
281.3 1
0.2%
264.06 1
0.2%
206.7 1
0.2%
172.41 1
0.2%
155.8 1
0.2%
151.6 1
0.2%
150.22 1
0.2%
148.67 1
0.2%
148.5 1
0.2%
148.06 1
0.2%

전통업소지정번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
401 
0
 
7

Length

Max length4
Median length4
Mean length3.9485294
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> 401
98.3%
0 7
 
1.7%

Length

2024-04-30T04:44:53.761746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:44:53.840092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 401
98.3%
0 7
 
1.7%

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing408
Missing (%)100.0%
Memory size3.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031100003110000-103-1992-0591319921103<NA>3폐업2폐업19981113<NA><NA><NA>02 352313183.59122859서울특별시 은평구 불광동 302-13번지<NA><NA>한양관광호텔파인칵테일바2001-09-28 00:00:00I2018-08-31 23:59:59.0단란주점193216.526377457169.62622단란주점<NA><NA>기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N83.59<NA><NA><NA>
131100003110000-103-1993-0428819930908<NA>3폐업2폐업20000106<NA><NA><NA>02 387816398.5122833서울특별시 은평구 녹번동 141-39번지<NA><NA>산수갑산2002-01-09 00:00:00I2018-08-31 23:59:59.0단란주점193281.248969456131.550845단란주점00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N98.5<NA><NA><NA>
231100003110000-103-1993-0428919930908<NA>3폐업2폐업19990513<NA><NA><NA>020386888192.83122860서울특별시 은평구 불광동 484-73번지<NA><NA>발로만단란주점2002-11-19 00:00:00I2018-08-31 23:59:59.0단란주점192907.625166457585.162308단란주점01주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N92.83<NA><NA><NA>
331100003110000-103-1993-0429019930911<NA>3폐업2폐업20190118<NA><NA><NA>02 355593977.16122810서울특별시 은평구 갈현동 422-35번지서울특별시 은평구 갈현로 303 (갈현동)3315밀라노단란주점2019-01-18 16:33:50U2019-01-20 02:40:00.0단란주점192591.582683457953.648543단란주점11기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N77.16<NA><NA><NA>
431100003110000-103-1993-0429219930923<NA>3폐업2폐업20070716<NA><NA><NA>02 358366450.55122842서울특별시 은평구 대조동 186-4번지<NA><NA>스마일2002-03-29 00:00:00I2018-08-31 23:59:59.0단란주점193069.972996457231.492979단란주점11주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N50.55<NA><NA><NA>
531100003110000-103-1993-0429319930924<NA>1영업/정상1영업<NA><NA><NA><NA>02 3572500137.79122907서울특별시 은평구 응암동 88-1번지 지1층서울특별시 은평구 응암로 339, 지1층 (응암동)34617080 라이브2018-12-06 14:36:30U2018-12-08 02:40:00.0단란주점193056.374657455463.283274단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N137.79<NA><NA><NA>
631100003110000-103-1993-0429419930928<NA>3폐업2폐업19941219<NA><NA><NA>020302049888.89122924서울특별시 은평구 응암동 590-23번지<NA><NA>가보자2001-09-28 00:00:00I2018-08-31 23:59:59.0단란주점192480.448629454130.620016단란주점20기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N88.890<NA><NA>
731100003110000-103-1993-0429619931009<NA>3폐업2폐업20010212<NA><NA><NA>02 3030311143.75122927서울특별시 은평구 응암동 602-41번지<NA><NA>동경2001-02-12 00:00:00I2018-08-31 23:59:59.0단란주점192598.273676453948.76427단란주점13기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N143.75<NA><NA><NA>
831100003110000-103-1993-042971993-10-09<NA>1영업/정상1영업<NA><NA><NA><NA>020354880488.77122-907서울특별시 은평구 응암동 87-22 지하1층서울특별시 은평구 응암로 336 (응암동, 지하1층)3460갤러리2024-01-24 17:08:29U2023-11-30 22:06:00.0단란주점193095.500727455422.328682<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
931100003110000-103-1993-0429819931011<NA>3폐업2폐업20021220<NA><NA><NA>0231414040135.21122924서울특별시 은평구 응암동 599-39번지<NA><NA>통나무주점2002-02-14 00:00:00I2018-08-31 23:59:59.0단란주점192496.713102454034.633335단란주점13기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N135.21<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
39831100003110000-103-2016-0000120160323<NA>1영업/정상1영업<NA><NA><NA><NA><NA>149.72122809서울특별시 은평구 갈현동 396-9 5층서울특별시 은평구 통일로 855-20 (갈현동, 5층)3330노래타운 세븐플로어(연신내점)2023-01-09 16:22:02U2022-11-30 23:01:00.0단란주점192861.231252457489.938701<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39931100003110000-103-2016-000022016-06-14<NA>1영업/정상1영업<NA><NA><NA><NA><NA>133.74122-837서울특별시 은평구 대조동 12-2 지층서울특별시 은평구 불광로 17 (대조동)3396한강70802023-06-13 17:34:47U2022-12-05 23:05:00.0단란주점193579.117146456415.777325<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40031100003110000-103-2016-000032016-10-20<NA>1영업/정상1영업<NA><NA><NA><NA><NA>106.71122-837서울특별시 은평구 대조동 15-120 지하1층서울특별시 은평구 통일로 707 (대조동, 지하1층)3397열린2024-01-05 13:06:11U2023-12-01 00:07:00.0단란주점193826.379833456291.782985<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40131100003110000-103-2017-0000120170124<NA>3폐업2폐업20170228<NA><NA><NA><NA>131.98122837서울특별시 은평구 대조동 14-19번지 3층1호서울특별시 은평구 통일로 727-3 (대조동, 3층1호)3397카사2017-01-24 14:12:17I2018-08-31 23:59:59.0단란주점193697.548096456437.101099단란주점<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N131.98<NA><NA><NA>
40231100003110000-103-2017-0000220171031<NA>1영업/정상1영업<NA><NA><NA><NA><NA>146.08122858서울특별시 은평구 불광동 281-178번지 진우빌딩 지하1층서울특별시 은평구 통일로 712-1, 지하1층 (불광동)3368환희중년메들리2018-06-29 11:52:56I2018-08-31 23:59:59.0단란주점193846.493627456367.509113단란주점<NA>2기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y146.08<NA><NA><NA>
40331100003110000-103-2017-0000320171226<NA>3폐업2폐업20210420<NA><NA><NA><NA>145.45122842서울특별시 은평구 대조동 185-8 지하1층서울특별시 은평구 통일로 835, 지하1층 (대조동)3385황토2021-04-20 11:33:38U2021-04-22 02:40:00.0단란주점193030.549439457283.116537단란주점00기타자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y145.45<NA><NA><NA>
40431100003110000-103-2018-0000120180131<NA>1영업/정상1영업<NA><NA><NA><NA><NA>86.1122959서울특별시 은평구 갈현동 456-17번지서울특별시 은평구 연서로29길 7-23 (갈현동)3331뉴노래팡2019-05-13 17:00:08U2019-05-15 02:40:00.0단란주점192789.380861457319.490501단란주점<NA><NA>학교정화(상대)<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y86.1<NA><NA><NA>
40531100003110000-103-2018-0000220180306<NA>1영업/정상1영업<NA><NA><NA><NA><NA>29.82122842서울특별시 은평구 대조동 185-54서울특별시 은평구 연서로28길 3, 2층 52.53호 (대조동)3385쏠2021-11-03 14:43:56U2021-11-05 02:40:00.0단란주점192925.055045457333.211846단란주점<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y29.82<NA><NA><NA>
40631100003110000-103-2020-0000120200207<NA>1영업/정상1영업<NA><NA><NA><NA><NA>123.57122923서울특별시 은평구 응암동 577-46 2층서울특별시 은평구 가좌로 232, 2층 (응암동)3457광화문 연가2022-08-29 14:22:46U2021-12-07 21:01:00.0단란주점192596.187206454258.336749<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40731100003110000-103-2021-0000120211110<NA>1영업/정상1영업<NA><NA><NA><NA><NA>108.76122837서울특별시 은평구 대조동 14-63 창도빌딩(지층)서울특별시 은평구 불광로 10, 창도빌딩 (대조동)3397유람선2021-11-10 10:58:43I2021-11-12 00:22:45.0단란주점193552.573364456342.923262단란주점01기타기타<NA>00000<NA>00N108.76<NA><NA><NA>