Overview

Dataset statistics

Number of variables47
Number of observations442
Missing cells3916
Missing cells (%)18.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory174.9 KiB
Average record size in memory405.3 B

Variable types

Categorical23
Text6
DateTime4
Unsupported7
Numeric5
Boolean2

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,건물지상층수,건물지하층수,사용시작지상층,사용끝지상층,사용시작지하층,사용끝지하층,한실수,양실수,욕실수,발한실여부,좌석수,조건부허가신고사유,조건부허가시작일자,조건부허가종료일자,건물소유구분명,세탁기수,여성종사자수,남성종사자수,회수건조수,침대수,다중이용업소여부
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17962/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (78.5%)Imbalance
위생업태명 is highly imbalanced (69.3%)Imbalance
건물소유구분명 is highly imbalanced (85.8%)Imbalance
인허가취소일자 has 442 (100.0%) missing valuesMissing
폐업일자 has 128 (29.0%) missing valuesMissing
휴업시작일자 has 442 (100.0%) missing valuesMissing
휴업종료일자 has 442 (100.0%) missing valuesMissing
재개업일자 has 442 (100.0%) missing valuesMissing
전화번호 has 31 (7.0%) missing valuesMissing
도로명주소 has 173 (39.1%) missing valuesMissing
도로명우편번호 has 177 (40.0%) missing valuesMissing
좌표정보(X) has 36 (8.1%) missing valuesMissing
좌표정보(Y) has 36 (8.1%) missing valuesMissing
건물지상층수 has 188 (42.5%) missing valuesMissing
발한실여부 has 27 (6.1%) missing valuesMissing
조건부허가신고사유 has 442 (100.0%) missing valuesMissing
조건부허가시작일자 has 442 (100.0%) missing valuesMissing
조건부허가종료일자 has 442 (100.0%) missing valuesMissing
다중이용업소여부 has 24 (5.4%) 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
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조건부허가종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 173 (39.1%) zerosZeros
건물지상층수 has 217 (49.1%) zerosZeros

Reproduction

Analysis started2024-05-11 07:09:39.829245
Analysis finished2024-05-11 07:09:40.860174
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3100000
442 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 442
100.0%

Length

2024-05-11T16:09:40.915702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:41.020379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 442
100.0%

관리번호
Text

UNIQUE 

Distinct442
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T16:09:41.198408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters9724
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

Unique442 ?
Unique (%)100.0%

Sample

1st row3100000-205-1987-01325
2nd row3100000-205-1987-01326
3rd row3100000-205-1987-01327
4th row3100000-205-1987-01329
5th row3100000-205-1987-01330
ValueCountFrequency (%)
3100000-205-1987-01325 1
 
0.2%
3100000-205-2003-00036 1
 
0.2%
3100000-205-2004-00001 1
 
0.2%
3100000-205-2003-00046 1
 
0.2%
3100000-205-2003-00045 1
 
0.2%
3100000-205-2003-00044 1
 
0.2%
3100000-205-2003-00043 1
 
0.2%
3100000-205-2003-00042 1
 
0.2%
3100000-205-2003-00041 1
 
0.2%
3100000-205-2003-00040 1
 
0.2%
Other values (432) 432
97.7%
2024-05-11T16:09:41.510618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4085
42.0%
- 1326
 
13.6%
1 1104
 
11.4%
2 797
 
8.2%
3 677
 
7.0%
5 662
 
6.8%
9 515
 
5.3%
4 213
 
2.2%
7 126
 
1.3%
8 114
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8398
86.4%
Dash Punctuation 1326
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4085
48.6%
1 1104
 
13.1%
2 797
 
9.5%
3 677
 
8.1%
5 662
 
7.9%
9 515
 
6.1%
4 213
 
2.5%
7 126
 
1.5%
8 114
 
1.4%
6 105
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1326
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4085
42.0%
- 1326
 
13.6%
1 1104
 
11.4%
2 797
 
8.2%
3 677
 
7.0%
5 662
 
6.8%
9 515
 
5.3%
4 213
 
2.2%
7 126
 
1.3%
8 114
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4085
42.0%
- 1326
 
13.6%
1 1104
 
11.4%
2 797
 
8.2%
3 677
 
7.0%
5 662
 
6.8%
9 515
 
5.3%
4 213
 
2.2%
7 126
 
1.3%
8 114
 
1.2%

인허가일자
Date

Distinct379
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1987-06-19 00:00:00
Maximum2022-01-25 00:00:00
2024-05-11T16:09:41.660041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:09:41.810790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing442
Missing (%)100.0%
Memory size4.0 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
3
314 
1
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 314
71.0%
1 128
29.0%

Length

2024-05-11T16:09:41.934557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:42.036192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 314
71.0%
1 128
29.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
314 
영업/정상
128 

Length

Max length5
Median length2
Mean length2.8687783
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 314
71.0%
영업/정상 128
29.0%

Length

2024-05-11T16:09:42.156875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:42.267188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 314
71.0%
영업/정상 128
29.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2
314 
1
128 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 314
71.0%
1 128
29.0%

Length

2024-05-11T16:09:42.385516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:42.498635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 314
71.0%
1 128
29.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
폐업
314 
영업
128 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 314
71.0%
영업 128
29.0%

Length

2024-05-11T16:09:42.599428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:42.725333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 314
71.0%
영업 128
29.0%

폐업일자
Date

MISSING 

Distinct269
Distinct (%)85.7%
Missing128
Missing (%)29.0%
Memory size3.6 KiB
Minimum1995-08-24 00:00:00
Maximum2023-12-08 00:00:00
2024-05-11T16:09:42.852024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:09:43.024641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing442
Missing (%)100.0%
Memory size4.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing442
Missing (%)100.0%
Memory size4.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing442
Missing (%)100.0%
Memory size4.0 KiB

전화번호
Text

MISSING 

Distinct372
Distinct (%)90.5%
Missing31
Missing (%)7.0%
Memory size3.6 KiB
2024-05-11T16:09:43.324311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.9781022
Min length7

Characters and Unicode

Total characters4101
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

Unique340 ?
Unique (%)82.7%

Sample

1st row02 9378964
2nd row02938 9814
3rd row02 9370483
4th row9363516
5th row0209376388
ValueCountFrequency (%)
02 288
38.6%
9171886 4
 
0.5%
9778802 4
 
0.5%
9784038 3
 
0.4%
9711514 3
 
0.4%
00000 3
 
0.4%
937 3
 
0.4%
979 2
 
0.3%
9775077 2
 
0.3%
9310302 2
 
0.3%
Other values (390) 432
57.9%
2024-05-11T16:09:43.779333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 691
16.8%
2 608
14.8%
9 596
14.5%
374
9.1%
3 370
9.0%
7 304
7.4%
5 245
 
6.0%
1 241
 
5.9%
4 240
 
5.9%
8 230
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3727
90.9%
Space Separator 374
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 691
18.5%
2 608
16.3%
9 596
16.0%
3 370
9.9%
7 304
8.2%
5 245
 
6.6%
1 241
 
6.5%
4 240
 
6.4%
8 230
 
6.2%
6 202
 
5.4%
Space Separator
ValueCountFrequency (%)
374
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4101
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 691
16.8%
2 608
14.8%
9 596
14.5%
374
9.1%
3 370
9.0%
7 304
7.4%
5 245
 
6.0%
1 241
 
5.9%
4 240
 
5.9%
8 230
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4101
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 691
16.8%
2 608
14.8%
9 596
14.5%
374
9.1%
3 370
9.0%
7 304
7.4%
5 245
 
6.0%
1 241
 
5.9%
4 240
 
5.9%
8 230
 
5.6%

소재지면적
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.385498
Minimum0
Maximum253.26
Zeros173
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T16:09:43.943159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19.16
Q329.7
95-th percentile54.3135
Maximum253.26
Range253.26
Interquartile range (IQR)29.7

Descriptive statistics

Standard deviation25.999399
Coefficient of variation (CV)1.275387
Kurtosis25.238395
Mean20.385498
Median Absolute Deviation (MAD)19.16
Skewness3.7567167
Sum9010.39
Variance675.96873
MonotonicityNot monotonic
2024-05-11T16:09:44.100538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 173
39.1%
33.0 14
 
3.2%
26.4 13
 
2.9%
16.5 12
 
2.7%
23.1 12
 
2.7%
19.8 11
 
2.5%
49.5 5
 
1.1%
28.0 4
 
0.9%
29.7 4
 
0.9%
30.0 4
 
0.9%
Other values (152) 190
43.0%
ValueCountFrequency (%)
0.0 173
39.1%
9.6 1
 
0.2%
12.71 2
 
0.5%
13.2 3
 
0.7%
14.0 3
 
0.7%
14.43 1
 
0.2%
14.51 1
 
0.2%
15.05 1
 
0.2%
15.68 1
 
0.2%
15.73 1
 
0.2%
ValueCountFrequency (%)
253.26 1
0.2%
217.34 1
0.2%
181.7 1
0.2%
143.34 1
0.2%
102.96 1
0.2%
98.67 1
0.2%
90.3 1
0.2%
88.56 1
0.2%
88.42 1
0.2%
82.91 1
0.2%

소재지우편번호
Text

Distinct78
Distinct (%)17.7%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-05-11T16:09:44.340554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.031746
Min length6

Characters and Unicode

Total characters2660
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)4.8%

Sample

1st row139837
2nd row139837
3rd row139837
4th row139816
5th row139818
ValueCountFrequency (%)
139240 37
 
8.4%
139200 29
 
6.6%
139837 19
 
4.3%
139230 18
 
4.1%
139800 15
 
3.4%
139816 14
 
3.2%
139050 12
 
2.7%
139820 12
 
2.7%
139814 11
 
2.5%
139810 10
 
2.3%
Other values (68) 264
59.9%
2024-05-11T16:09:44.732507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 553
20.8%
3 533
20.0%
9 472
17.7%
8 351
13.2%
0 251
9.4%
2 162
 
6.1%
4 112
 
4.2%
6 72
 
2.7%
5 72
 
2.7%
7 68
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2646
99.5%
Dash Punctuation 14
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 553
20.9%
3 533
20.1%
9 472
17.8%
8 351
13.3%
0 251
9.5%
2 162
 
6.1%
4 112
 
4.2%
6 72
 
2.7%
5 72
 
2.7%
7 68
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 553
20.8%
3 533
20.0%
9 472
17.7%
8 351
13.2%
0 251
9.4%
2 162
 
6.1%
4 112
 
4.2%
6 72
 
2.7%
5 72
 
2.7%
7 68
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 553
20.8%
3 533
20.0%
9 472
17.7%
8 351
13.2%
0 251
9.4%
2 162
 
6.1%
4 112
 
4.2%
6 72
 
2.7%
5 72
 
2.7%
7 68
 
2.6%

지번주소
Text

Distinct426
Distinct (%)96.6%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-05-11T16:09:45.088342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length29.156463
Min length18

Characters and Unicode

Total characters12858
Distinct characters175
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

Unique414 ?
Unique (%)93.9%

Sample

1st row서울특별시 노원구 상계동 1105-74
2nd row서울특별시 노원구 상계동 1007-4
3rd row서울특별시 노원구 상계동 1120-41번지
4th row서울특별시 노원구 상계동 387-104
5th row서울특별시 노원구 상계동 389-476번지
ValueCountFrequency (%)
서울특별시 441
18.6%
노원구 441
18.6%
상계동 195
 
8.2%
공릉동 77
 
3.3%
월계동 70
 
3.0%
중계동 68
 
2.9%
하계동 32
 
1.4%
1층 19
 
0.8%
203호 16
 
0.7%
103호 14
 
0.6%
Other values (722) 993
42.0%
2024-05-11T16:09:45.591131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2311
 
18.0%
1 597
 
4.6%
동 500
 
3.9%
구 450
 
3.5%
시 448
 
3.5%
원 444
 
3.5%
울 443
 
3.4%
별 442
 
3.4%
노 442
 
3.4%
서 441
 
3.4%
Other values (165) 6340
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7370
57.3%
Decimal Number 2721
 
21.2%
Space Separator 2311
 
18.0%
Dash Punctuation 319
 
2.5%
Other Punctuation 58
 
0.5%
Open Punctuation 35
 
0.3%
Close Punctuation 35
 
0.3%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 500
 
6.8%
구 450
 
6.1%
시 448
 
6.1%
원 444
 
6.0%
울 443
 
6.0%
별 442
 
6.0%
노 442
 
6.0%
서 441
 
6.0%
특 441
 
6.0%
상 417
 
5.7%
Other values (147) 2902
39.4%
Decimal Number
ValueCountFrequency (%)
1 597
21.9%
2 373
13.7%
0 369
13.6%
3 274
10.1%
5 231
 
8.5%
6 217
 
8.0%
7 204
 
7.5%
4 192
 
7.1%
8 135
 
5.0%
9 129
 
4.7%
Other Punctuation
ValueCountFrequency (%)
@ 30
51.7%
, 28
48.3%
Uppercase Letter
ValueCountFrequency (%)
A 5
55.6%
B 4
44.4%
Space Separator
ValueCountFrequency (%)
2311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 319
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7370
57.3%
Common 5479
42.6%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 500
 
6.8%
구 450
 
6.1%
시 448
 
6.1%
원 444
 
6.0%
울 443
 
6.0%
별 442
 
6.0%
노 442
 
6.0%
서 441
 
6.0%
특 441
 
6.0%
상 417
 
5.7%
Other values (147) 2902
39.4%
Common
ValueCountFrequency (%)
2311
42.2%
1 597
 
10.9%
2 373
 
6.8%
0 369
 
6.7%
- 319
 
5.8%
3 274
 
5.0%
5 231
 
4.2%
6 217
 
4.0%
7 204
 
3.7%
4 192
 
3.5%
Other values (6) 392
 
7.2%
Latin
ValueCountFrequency (%)
A 5
55.6%
B 4
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7370
57.3%
ASCII 5488
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2311
42.1%
1 597
 
10.9%
2 373
 
6.8%
0 369
 
6.7%
- 319
 
5.8%
3 274
 
5.0%
5 231
 
4.2%
6 217
 
4.0%
7 204
 
3.7%
4 192
 
3.5%
Other values (8) 401
 
7.3%
Hangul
ValueCountFrequency (%)
동 500
 
6.8%
구 450
 
6.1%
시 448
 
6.1%
원 444
 
6.0%
울 443
 
6.0%
별 442
 
6.0%
노 442
 
6.0%
서 441
 
6.0%
특 441
 
6.0%
상 417
 
5.7%
Other values (147) 2902
39.4%

도로명주소
Text

MISSING 

Distinct269
Distinct (%)100.0%
Missing173
Missing (%)39.1%
Memory size3.6 KiB
2024-05-11T16:09:45.882352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length48
Mean length36.401487
Min length22

Characters and Unicode

Total characters9792
Distinct characters171
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

Unique269 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 동일로237나길 45 (상계동)
2nd row서울특별시 노원구 동일로242길 64 (상계동)
3rd row서울특별시 노원구 상계로24길 26 (상계동)
4th row서울특별시 노원구 상계로23다길 9 (상계동)
5th row서울특별시 노원구 상계로9가길 42 (상계동)
ValueCountFrequency (%)
서울특별시 269
 
15.4%
노원구 269
 
15.4%
상계동 90
 
5.2%
공릉동 38
 
2.2%
중계동 34
 
1.9%
1층 24
 
1.4%
월계동 24
 
1.4%
상가동 18
 
1.0%
노원로 15
 
0.9%
동일로 14
 
0.8%
Other values (573) 952
54.5%
2024-05-11T16:09:46.317391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1482
 
15.1%
1 429
 
4.4%
동 403
 
4.1%
상 323
 
3.3%
2 314
 
3.2%
계 307
 
3.1%
원 298
 
3.0%
노 295
 
3.0%
) 295
 
3.0%
( 295
 
3.0%
Other values (161) 5351
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5572
56.9%
Decimal Number 1808
 
18.5%
Space Separator 1482
 
15.1%
Close Punctuation 295
 
3.0%
Open Punctuation 295
 
3.0%
Other Punctuation 290
 
3.0%
Dash Punctuation 43
 
0.4%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 403
 
7.2%
상 323
 
5.8%
계 307
 
5.5%
원 298
 
5.3%
노 295
 
5.3%
구 277
 
5.0%
시 275
 
4.9%
별 270
 
4.8%
울 270
 
4.8%
특 269
 
4.8%
Other values (143) 2585
46.4%
Decimal Number
ValueCountFrequency (%)
1 429
23.7%
2 314
17.4%
0 210
11.6%
3 182
10.1%
4 163
 
9.0%
5 130
 
7.2%
6 115
 
6.4%
7 102
 
5.6%
8 89
 
4.9%
9 74
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 266
91.7%
@ 24
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
57.1%
A 3
42.9%
Space Separator
ValueCountFrequency (%)
1482
100.0%
Close Punctuation
ValueCountFrequency (%)
) 295
100.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5572
56.9%
Common 4213
43.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 403
 
7.2%
상 323
 
5.8%
계 307
 
5.5%
원 298
 
5.3%
노 295
 
5.3%
구 277
 
5.0%
시 275
 
4.9%
별 270
 
4.8%
울 270
 
4.8%
특 269
 
4.8%
Other values (143) 2585
46.4%
Common
ValueCountFrequency (%)
1482
35.2%
1 429
 
10.2%
2 314
 
7.5%
) 295
 
7.0%
( 295
 
7.0%
, 266
 
6.3%
0 210
 
5.0%
3 182
 
4.3%
4 163
 
3.9%
5 130
 
3.1%
Other values (6) 447
 
10.6%
Latin
ValueCountFrequency (%)
B 4
57.1%
A 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5572
56.9%
ASCII 4220
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1482
35.1%
1 429
 
10.2%
2 314
 
7.4%
) 295
 
7.0%
( 295
 
7.0%
, 266
 
6.3%
0 210
 
5.0%
3 182
 
4.3%
4 163
 
3.9%
5 130
 
3.1%
Other values (8) 454
 
10.8%
Hangul
ValueCountFrequency (%)
동 403
 
7.2%
상 323
 
5.8%
계 307
 
5.5%
원 298
 
5.3%
노 295
 
5.3%
구 277
 
5.0%
시 275
 
4.9%
별 270
 
4.8%
울 270
 
4.8%
특 269
 
4.8%
Other values (143) 2585
46.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)65.7%
Missing177
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1748.4755
Minimum1600
Maximum1914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T16:09:46.447369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1600
5-th percentile1617.4
Q11672
median1744
Q31835
95-th percentile1894.8
Maximum1914
Range314
Interquartile range (IQR)163

Descriptive statistics

Standard deviation90.721646
Coefficient of variation (CV)0.051886142
Kurtosis-1.2104958
Mean1748.4755
Median Absolute Deviation (MAD)77
Skewness0.19124926
Sum463346
Variance8230.417
MonotonicityNot monotonic
2024-05-11T16:09:46.577296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1693 6
 
1.4%
1684 5
 
1.1%
1883 4
 
0.9%
1765 3
 
0.7%
1721 3
 
0.7%
1773 3
 
0.7%
1675 3
 
0.7%
1792 3
 
0.7%
1635 3
 
0.7%
1653 3
 
0.7%
Other values (164) 229
51.8%
(Missing) 177
40.0%
ValueCountFrequency (%)
1600 2
0.5%
1603 1
0.2%
1604 1
0.2%
1606 1
0.2%
1608 2
0.5%
1609 2
0.5%
1613 1
0.2%
1614 2
0.5%
1615 1
0.2%
1617 1
0.2%
ValueCountFrequency (%)
1914 1
0.2%
1913 2
0.5%
1911 2
0.5%
1909 1
0.2%
1907 1
0.2%
1905 1
0.2%
1901 2
0.5%
1900 1
0.2%
1899 1
0.2%
1898 1
0.2%

사업장명
Text

Distinct345
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-11T16:09:46.880580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length4.4977376
Min length2

Characters and Unicode

Total characters1988
Distinct characters240
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

Unique282 ?
Unique (%)63.8%

Sample

1st row신광사
2nd row동민사
3rd row태양사
4th row우리사
5th row충남사
ValueCountFrequency (%)
현대세탁소 10
 
2.2%
백양세탁소 6
 
1.3%
크린토피아 6
 
1.3%
백양 6
 
1.3%
현대 5
 
1.1%
백조 5
 
1.1%
화이트 4
 
0.9%
코인워시 4
 
0.9%
제일세탁소 4
 
0.9%
청구세탁 3
 
0.6%
Other values (343) 409
88.5%
2024-05-11T16:09:47.291938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 213
 
10.7%
탁 210
 
10.6%
소 135
 
6.8%
사 85
 
4.3%
크 47
 
2.4%
백 44
 
2.2%
대 38
 
1.9%
린 34
 
1.7%
성 33
 
1.7%
양 29
 
1.5%
Other values (230) 1120
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1955
98.3%
Space Separator 20
 
1.0%
Decimal Number 7
 
0.4%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 213
 
10.9%
탁 210
 
10.7%
소 135
 
6.9%
사 85
 
4.3%
크 47
 
2.4%
백 44
 
2.3%
대 38
 
1.9%
린 34
 
1.7%
성 33
 
1.7%
양 29
 
1.5%
Other values (219) 1087
55.6%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 2
28.6%
7 1
 
14.3%
6 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1955
98.3%
Common 30
 
1.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 213
 
10.9%
탁 210
 
10.7%
소 135
 
6.9%
사 85
 
4.3%
크 47
 
2.4%
백 44
 
2.3%
대 38
 
1.9%
린 34
 
1.7%
성 33
 
1.7%
양 29
 
1.5%
Other values (219) 1087
55.6%
Common
ValueCountFrequency (%)
20
66.7%
2 3
 
10.0%
4 2
 
6.7%
. 1
 
3.3%
7 1
 
3.3%
) 1
 
3.3%
( 1
 
3.3%
6 1
 
3.3%
Latin
ValueCountFrequency (%)
A 1
33.3%
L 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1955
98.3%
ASCII 33
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 213
 
10.9%
탁 210
 
10.7%
소 135
 
6.9%
사 85
 
4.3%
크 47
 
2.4%
백 44
 
2.3%
대 38
 
1.9%
린 34
 
1.7%
성 33
 
1.7%
양 29
 
1.5%
Other values (219) 1087
55.6%
ASCII
ValueCountFrequency (%)
20
60.6%
2 3
 
9.1%
4 2
 
6.1%
. 1
 
3.0%
7 1
 
3.0%
A 1
 
3.0%
L 1
 
3.0%
e 1
 
3.0%
) 1
 
3.0%
( 1
 
3.0%

최종수정일자
Date

Distinct359
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum1999-01-12 00:00:00
Maximum2024-03-29 09:18:53
2024-05-11T16:09:47.405987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:09:47.525305image/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 size3.6 KiB
I
278 
U
164 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 278
62.9%
U 164
37.1%

Length

2024-05-11T16:09:47.647196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:47.730791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 278
62.9%
u 164
37.1%

데이터갱신일자
Date

Distinct94
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 21:01:00
2024-05-11T16:09:47.820654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:09:47.932125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
일반세탁업
414 
빨래방업
 
15
운동화전문세탁업
 
9
세탁업 기타
 
4

Length

Max length8
Median length5
Mean length5.0361991
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 414
93.7%
빨래방업 15
 
3.4%
운동화전문세탁업 9
 
2.0%
세탁업 기타 4
 
0.9%

Length

2024-05-11T16:09:48.055737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:48.166808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 414
92.8%
빨래방업 15
 
3.4%
운동화전문세탁업 9
 
2.0%
세탁업 4
 
0.9%
기타 4
 
0.9%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct306
Distinct (%)75.4%
Missing36
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean205943.98
Minimum203719.16
Maximum207749.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T16:09:48.519011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203719.16
5-th percentile204528.53
Q1205260.41
median206004.81
Q3206591.57
95-th percentile207282.03
Maximum207749.31
Range4030.1459
Interquartile range (IQR)1331.158

Descriptive statistics

Standard deviation862.58575
Coefficient of variation (CV)0.0041884485
Kurtosis-0.75572258
Mean205943.98
Median Absolute Deviation (MAD)691.41679
Skewness-0.13105196
Sum83613256
Variance744054.17
MonotonicityNot monotonic
2024-05-11T16:09:48.643384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204325.989587591 5
 
1.1%
205138.926439441 5
 
1.1%
205455.618698896 5
 
1.1%
205707.281107587 5
 
1.1%
205445.843883297 4
 
0.9%
205984.15211292 4
 
0.9%
206729.227612118 4
 
0.9%
205164.638884063 4
 
0.9%
206356.052509483 3
 
0.7%
205260.409755738 3
 
0.7%
Other values (296) 364
82.4%
(Missing) 36
 
8.1%
ValueCountFrequency (%)
203719.161728968 1
 
0.2%
203839.989956111 2
 
0.5%
203920.396022963 1
 
0.2%
203986.825383903 1
 
0.2%
204325.989587591 5
1.1%
204360.413814457 1
 
0.2%
204377.840122764 1
 
0.2%
204454.219222095 1
 
0.2%
204456.118572669 1
 
0.2%
204463.453552983 1
 
0.2%
ValueCountFrequency (%)
207749.307579592 1
0.2%
207746.151245202 1
0.2%
207642.144523897 2
0.5%
207638.296459515 2
0.5%
207602.35326675 2
0.5%
207447.636537089 2
0.5%
207430.973594268 1
0.2%
207416.586869686 1
0.2%
207400.184942591 2
0.5%
207382.703099595 2
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct306
Distinct (%)75.4%
Missing36
Missing (%)8.1%
Infinite0
Infinite (%)0.0%
Mean460531.08
Minimum457102.15
Maximum465103.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T16:09:48.789086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457102.15
5-th percentile457411.28
Q1458379.77
median460865.43
Q3462297.87
95-th percentile463477.55
Maximum465103.76
Range8001.6029
Interquartile range (IQR)3918.0957

Descriptive statistics

Standard deviation2077.7903
Coefficient of variation (CV)0.0045117266
Kurtosis-1.2887933
Mean460531.08
Median Absolute Deviation (MAD)1834.3234
Skewness-0.073355547
Sum1.8697562 × 108
Variance4317212.7
MonotonicityNot monotonic
2024-05-11T16:09:48.916963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
458245.314994 5
 
1.1%
462840.104436782 5
 
1.1%
457358.731978332 5
 
1.1%
462498.174061411 5
 
1.1%
459604.311547098 4
 
0.9%
457275.799282625 4
 
0.9%
459636.25494196 4
 
0.9%
457785.012114018 4
 
0.9%
462123.008334776 3
 
0.7%
462881.259013275 3
 
0.7%
Other values (296) 364
82.4%
(Missing) 36
 
8.1%
ValueCountFrequency (%)
457102.152209467 1
 
0.2%
457141.910971155 1
 
0.2%
457143.571838786 1
 
0.2%
457144.424098825 1
 
0.2%
457146.527448307 1
 
0.2%
457191.999917432 1
 
0.2%
457247.570869701 1
 
0.2%
457252.031806302 1
 
0.2%
457275.799282625 4
0.9%
457329.104458088 1
 
0.2%
ValueCountFrequency (%)
465103.755134816 2
0.5%
464508.952781941 1
0.2%
464356.527197506 1
0.2%
464346.663669239 1
0.2%
464199.048415229 1
0.2%
464174.158420444 1
0.2%
464099.692139359 1
0.2%
464080.593904719 1
0.2%
464044.481993 1
0.2%
463940.976727043 1
0.2%

위생업태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
일반세탁업
391 
<NA>
 
24
빨래방업
 
15
운동화전문세탁업
 
9
세탁업 기타
 
3

Length

Max length8
Median length5
Mean length4.979638
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 391
88.5%
<NA> 24
 
5.4%
빨래방업 15
 
3.4%
운동화전문세탁업 9
 
2.0%
세탁업 기타 3
 
0.7%

Length

2024-05-11T16:09:49.039637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:49.170001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 391
87.9%
na 24
 
5.4%
빨래방업 15
 
3.4%
운동화전문세탁업 9
 
2.0%
세탁업 3
 
0.7%
기타 3
 
0.7%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)2.8%
Missing188
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean0.36614173
Minimum0
Maximum7
Zeros217
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-05-11T16:09:49.263794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0233418
Coefficient of variation (CV)2.7949336
Kurtosis11.897331
Mean0.36614173
Median Absolute Deviation (MAD)0
Skewness3.2769945
Sum93
Variance1.0472285
MonotonicityNot monotonic
2024-05-11T16:09:49.352302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 217
49.1%
2 14
 
3.2%
1 8
 
1.8%
3 8
 
1.8%
4 4
 
0.9%
5 2
 
0.5%
7 1
 
0.2%
(Missing) 188
42.5%
ValueCountFrequency (%)
0 217
49.1%
1 8
 
1.8%
2 14
 
3.2%
3 8
 
1.8%
4 4
 
0.9%
5 2
 
0.5%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
5 2
 
0.5%
4 4
 
0.9%
3 8
 
1.8%
2 14
 
3.2%
1 8
 
1.8%
0 217
49.1%

건물지하층수
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
233 
<NA>
203 
1
 
6

Length

Max length4
Median length1
Mean length2.3778281
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 233
52.7%
<NA> 203
45.9%
1 6
 
1.4%

Length

2024-05-11T16:09:49.451945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:49.545199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 233
52.7%
na 203
45.9%
1 6
 
1.4%

사용시작지상층
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
234 
0
164 
1
29 
2
 
15

Length

Max length4
Median length4
Mean length2.5882353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 234
52.9%
0 164
37.1%
1 29
 
6.6%
2 15
 
3.4%

Length

2024-05-11T16:09:49.642851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:49.737297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 234
52.9%
0 164
37.1%
1 29
 
6.6%
2 15
 
3.4%

사용끝지상층
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
310 
0
77 
1
34 
2
 
21

Length

Max length4
Median length4
Mean length3.1040724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 310
70.1%
0 77
 
17.4%
1 34
 
7.7%
2 21
 
4.8%

Length

2024-05-11T16:09:49.843215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:49.941834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 310
70.1%
0 77
 
17.4%
1 34
 
7.7%
2 21
 
4.8%

사용시작지하층
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
261 
0
176 
1
 
5

Length

Max length4
Median length4
Mean length2.7714932
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 261
59.0%
0 176
39.8%
1 5
 
1.1%

Length

2024-05-11T16:09:50.043221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:50.131380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
59.0%
0 176
39.8%
1 5
 
1.1%

사용끝지하층
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
345 
0
93 
1
 
4

Length

Max length4
Median length4
Mean length3.341629
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 345
78.1%
0 93
 
21.0%
1 4
 
0.9%

Length

2024-05-11T16:09:50.232248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:50.331578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 345
78.1%
0 93
 
21.0%
1 4
 
0.9%

한실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
237 
<NA>
205 

Length

Max length4
Median length1
Mean length2.3914027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
53.6%
<NA> 205
46.4%

Length

2024-05-11T16:09:50.425550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:50.513725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
53.6%
na 205
46.4%

양실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
237 
<NA>
205 

Length

Max length4
Median length1
Mean length2.3914027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
53.6%
<NA> 205
46.4%

Length

2024-05-11T16:09:50.610366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:50.700258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
53.6%
na 205
46.4%

욕실수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
237 
<NA>
205 

Length

Max length4
Median length1
Mean length2.3914027
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
53.6%
<NA> 205
46.4%

Length

2024-05-11T16:09:50.787445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:50.887243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
53.6%
na 205
46.4%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing27
Missing (%)6.1%
Memory size1016.0 B
False
415 
(Missing)
 
27
ValueCountFrequency (%)
False 415
93.9%
(Missing) 27
 
6.1%
2024-05-11T16:09:50.975019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

좌석수
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
0
237 
<NA>
204 
5
 
1

Length

Max length4
Median length1
Mean length2.3846154
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 237
53.6%
<NA> 204
46.2%
5 1
 
0.2%

Length

2024-05-11T16:09:51.067371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:51.162761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 237
53.6%
na 204
46.2%
5 1
 
0.2%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing442
Missing (%)100.0%
Memory size4.0 KiB

조건부허가시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing442
Missing (%)100.0%
Memory size4.0 KiB

조건부허가종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing442
Missing (%)100.0%
Memory size4.0 KiB

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
427 
임대
 
14
자가
 
1

Length

Max length4
Median length4
Mean length3.9321267
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 427
96.6%
임대 14
 
3.2%
자가 1
 
0.2%

Length

2024-05-11T16:09:51.269880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:51.382141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 427
96.6%
임대 14
 
3.2%
자가 1
 
0.2%

세탁기수
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
287 
0
96 
1
 
24
2
 
21
3
 
10

Length

Max length4
Median length4
Mean length2.9479638
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 287
64.9%
0 96
 
21.7%
1 24
 
5.4%
2 21
 
4.8%
3 10
 
2.3%
4 4
 
0.9%

Length

2024-05-11T16:09:51.482159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:51.581669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 287
64.9%
0 96
 
21.7%
1 24
 
5.4%
2 21
 
4.8%
3 10
 
2.3%
4 4
 
0.9%

여성종사자수
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
330 
0
111 
1
 
1

Length

Max length4
Median length4
Mean length3.239819
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 330
74.7%
0 111
 
25.1%
1 1
 
0.2%

Length

2024-05-11T16:09:51.686128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:51.790726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
74.7%
0 111
 
25.1%
1 1
 
0.2%

남성종사자수
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
330 
0
111 
1
 
1

Length

Max length4
Median length4
Mean length3.239819
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 330
74.7%
0 111
 
25.1%
1 1
 
0.2%

Length

2024-05-11T16:09:51.882850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:51.989448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 330
74.7%
0 111
 
25.1%
1 1
 
0.2%

회수건조수
Categorical

Distinct6
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
216 
1
176 
0
43 
3
 
3
2
 
3

Length

Max length4
Median length1
Mean length2.4660633
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 216
48.9%
1 176
39.8%
0 43
 
9.7%
3 3
 
0.7%
2 3
 
0.7%
4 1
 
0.2%

Length

2024-05-11T16:09:52.086620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:52.181927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 216
48.9%
1 176
39.8%
0 43
 
9.7%
3 3
 
0.7%
2 3
 
0.7%
4 1
 
0.2%

침대수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
298 
0
144 

Length

Max length4
Median length4
Mean length3.0226244
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 298
67.4%
0 144
32.6%

Length

2024-05-11T16:09:52.293949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:09:52.383611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 298
67.4%
0 144
32.6%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing24
Missing (%)5.4%
Memory size1016.0 B
False
418 
(Missing)
 
24
ValueCountFrequency (%)
False 418
94.6%
(Missing) 24
 
5.4%
2024-05-11T16:09:52.458201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
031000003100000-205-1987-0132519870715<NA>1영업/정상1영업<NA><NA><NA><NA>02 93789640.0139837서울특별시 노원구 상계동 1105-74서울특별시 노원구 동일로237나길 45 (상계동)1609신광사2021-12-13 14:09:50U2021-12-15 02:40:00.0일반세탁업204632.929601463706.959506일반세탁업000000000N0<NA><NA><NA><NA>00010N
131000003100000-205-1987-0132619871006<NA>1영업/정상1영업<NA><NA><NA><NA>02938 981433.0139837서울특별시 노원구 상계동 1007-4서울특별시 노원구 동일로242길 64 (상계동)1628동민사2021-12-13 13:36:44U2021-12-15 02:40:00.0일반세탁업205092.790971463563.262597일반세탁업000000000N0<NA><NA><NA><NA>00010N
231000003100000-205-1987-0132719870626<NA>3폐업2폐업20100621<NA><NA><NA>02 93704830.0139837서울특별시 노원구 상계동 1120-41번지<NA><NA>태양사2009-05-11 15:26:49I2018-08-31 23:59:59.0일반세탁업204928.577982463722.643929일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA>1<NA>N
331000003100000-205-1987-0132919870619<NA>1영업/정상1영업<NA><NA><NA><NA>936351623.1139816서울특별시 노원구 상계동 387-104서울특별시 노원구 상계로24길 26 (상계동)1697우리사2021-12-11 12:52:22U2021-12-14 02:40:00.0일반세탁업206141.772497461663.188127일반세탁업000000000N0<NA><NA><NA><NA>00010N
431000003100000-205-1987-0133019870619<NA>1영업/정상1영업<NA><NA><NA><NA>020937638823.1139818서울특별시 노원구 상계동 389-476번지서울특별시 노원구 상계로23다길 9 (상계동)1684충남사2005-01-11 00:00:00I2018-08-31 23:59:59.0일반세탁업206023.562224461869.150983일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
531000003100000-205-1987-0133119870619<NA>3폐업2폐업20091030<NA><NA><NA>02095143760.0139814서울특별시 노원구 상계동 138-24번지<NA><NA>백운사2005-08-16 00:00:00I2018-08-31 23:59:59.0일반세탁업206385.200123462461.928312일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
631000003100000-205-1987-013321987-06-19<NA>3폐업2폐업2023-07-06<NA><NA><NA>02 97691370.0139-818서울특별시 노원구 상계동 389-435서울특별시 노원구 상계로9가길 42 (상계동)1684제일사2023-07-06 15:34:45U2022-12-07 00:08:00.0일반세탁업205936.942262461898.855499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
731000003100000-205-1987-0133419870711<NA>1영업/정상1영업<NA><NA><NA><NA>020936710126.4139818서울특별시 노원구 상계동 389-373서울특별시 노원구 상계로9나길 3 (상계동)1685백장미사2021-12-20 17:36:54U2021-12-22 02:40:00.0일반세탁업205948.467564461966.740232일반세탁업000000000N0<NA><NA><NA><NA>00000N
831000003100000-205-1987-0133519870818<NA>1영업/정상1영업<NA><NA><NA><NA>02 937 32970.0139818서울특별시 노원구 상계동 389-486서울특별시 노원구 상계로23길 11 (상계동)1684남양사2021-12-13 13:37:20U2021-12-15 02:40:00.0일반세탁업205998.562702461813.109471일반세탁업000000000N0<NA><NA><NA><NA>00010N
931000003100000-205-1987-0133619870629<NA>3폐업2폐업20130715<NA><NA><NA>02093737340.0139810서울특별시 노원구 상계동 72-7번지<NA><NA>컴퓨터세탁2007-01-02 00:00:00I2018-08-31 23:59:59.0일반세탁업207116.336536463033.853796일반세탁업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA><NA><NA>N
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부좌석수조건부허가신고사유조건부허가시작일자조건부허가종료일자건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
43231000003100000-205-2020-0000220200529<NA>1영업/정상1영업<NA><NA><NA><NA>02 6084848473.84139813서울특별시 노원구 상계동 134-40번지서울특별시 노원구 한글비석로46나길 3, 지층 (상계동)1653금호세탁2020-05-29 11:02:35I2020-05-31 00:23:29.0일반세탁업206060.342934462701.923027일반세탁업00<NA><NA>11000N0<NA><NA><NA><NA>20010N
43331000003100000-205-2020-0000320201030<NA>1영업/정상1영업<NA><NA><NA><NA><NA>60.6139950서울특별시 노원구 월계동 925 대동아파트 상가동 110,111호서울특별시 노원구 광운로 46, 상가동 1층 110,111호 (월계동, 대동아파트)1894대동세탁2020-10-30 17:10:01I2020-11-01 00:23:09.0일반세탁업205265.683587457715.946603일반세탁업00<NA><NA><NA><NA>000N0<NA><NA><NA><NA>20010N
43431000003100000-205-2021-0000120210105<NA>1영업/정상1영업<NA><NA><NA><NA><NA>28.0139813서울특별시 노원구 상계동 156-156 1층 좌측호서울특별시 노원구 한글비석로24길 41, 1층 좌측호 (상계동)1664향기로운 운동화 세탁 전문점2021-01-05 13:31:45I2021-01-07 00:23:04.0운동화전문세탁업206331.81258462245.884519운동화전문세탁업00<NA><NA><NA><NA>000N0<NA><NA><NA><NA>20030N
43531000003100000-205-2021-0000220210114<NA>1영업/정상1영업<NA><NA><NA><NA><NA>54.0139831서울특별시 노원구 상계동 766-1 미도아파트서울특별시 노원구 덕릉로 459-18, 205호 (상계동, 미도아파트)1769한보세탁소2021-01-14 12:09:30I2021-01-16 00:23:15.0일반세탁업205309.755822460429.879162일반세탁업002200000N0<NA><NA><NA><NA>20010N
43631000003100000-205-2021-0000320210202<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0139851서울특별시 노원구 월계동 781 월계청백4단지아파트 제상가동 207호서울특별시 노원구 월계로45가길 94, 제상가동 207호 (월계동, 월계청백4단지아파트)1876청미세탁소2021-02-02 09:51:18I2021-02-04 00:23:03.0일반세탁업204495.071607458816.285994일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N
43731000003100000-205-2021-0000420210726<NA>1영업/정상1영업<NA><NA><NA><NA>02952 243319.49139867서울특별시 노원구 중계동 588 양지대림2차아파트서울특별시 노원구 덕릉로73길 28, 제 상가동 2층 210호 (중계동, 양지대림2차아파트)1706양지세탁2021-07-26 09:56:26I2021-07-28 00:22:52.0일반세탁업206311.616711461230.591608일반세탁업200000000N0<NA><NA><NA><NA>20010N
43831000003100000-205-2021-0000520211206<NA>1영업/정상1영업<NA><NA><NA><NA>02 976217830.18139800서울특별시 노원구 공릉동 230 태릉해링턴플레이스서울특별시 노원구 공릉로34길 86, 2층 202호 (공릉동, 태릉해링턴플레이스)1817모아모아세탁2021-12-06 13:25:52I2021-12-08 00:22:43.0일반세탁업207261.78171458228.274014일반세탁업000000000N0<NA><NA><NA><NA>20020N
43931000003100000-205-2021-0000620211221<NA>1영업/정상1영업<NA><NA><NA><NA>02 979547424.6139863서울특별시 노원구 중계동 505 롯데상가서울특별시 노원구 섬밭로 263, 롯데상가 1층 4,11호 (중계동)1774브랜드특수크리닝2021-12-21 11:21:00I2021-12-23 00:22:42.0일반세탁업205445.843883459604.311547일반세탁업100000000N0<NA><NA><NA>임대10110N
44031000003100000-205-2021-0000720211229<NA>1영업/정상1영업<NA><NA><NA><NA><NA>43.0139810서울특별시 노원구 상계동 72-7서울특별시 노원구 덕릉로124길 9, 1층 (상계동)1644컴퓨터세탁소2021-12-29 14:33:45I2021-12-31 00:22:51.0일반세탁업207116.336536463033.853796일반세탁업000000000N0<NA><NA><NA>임대01000N
44131000003100000-205-2022-000012022-01-25<NA>1영업/정상1영업<NA><NA><NA><NA>02 934 873026.35139-200서울특별시 노원구 상계동 720-6 상계주공6단지아파트서울특별시 노원구 노해로 506, 상계주공6단지아파트 바상가동 103호 (상계동)17526단지세탁소2024-02-14 16:07:54U2023-12-01 23:06:00.0일반세탁업205597.839995461385.208899<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>