Overview

Dataset statistics

Number of variables44
Number of observations342
Missing cells3420
Missing cells (%)22.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory126.0 KiB
Average record size in memory377.4 B

Variable types

Categorical20
Text6
DateTime4
Unsupported8
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18533/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
총인원 is highly imbalanced (94.8%)Imbalance
본사종업원수 is highly imbalanced (94.8%)Imbalance
공장사무직종업원수 is highly imbalanced (94.8%)Imbalance
공장판매직종업원수 is highly imbalanced (94.8%)Imbalance
공장생산직종업원수 is highly imbalanced (94.8%)Imbalance
보증액 is highly imbalanced (94.8%)Imbalance
월세액 is highly imbalanced (94.8%)Imbalance
다중이용업소여부 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 342 (100.0%) missing valuesMissing
폐업일자 has 92 (26.9%) missing valuesMissing
휴업시작일자 has 342 (100.0%) missing valuesMissing
휴업종료일자 has 342 (100.0%) missing valuesMissing
재개업일자 has 342 (100.0%) missing valuesMissing
전화번호 has 27 (7.9%) missing valuesMissing
도로명주소 has 230 (67.3%) missing valuesMissing
도로명우편번호 has 235 (68.7%) missing valuesMissing
좌표정보(X) has 10 (2.9%) missing valuesMissing
좌표정보(Y) has 10 (2.9%) missing valuesMissing
건물소유구분명 has 342 (100.0%) missing valuesMissing
다중이용업소여부 has 40 (11.7%) missing valuesMissing
시설총규모 has 40 (11.7%) missing valuesMissing
전통업소지정번호 has 342 (100.0%) missing valuesMissing
전통업소주된음식 has 342 (100.0%) missing valuesMissing
홈페이지 has 342 (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
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 03:17:02.390064
Analysis finished2024-05-11 03:17:03.890692
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3060000
342 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 342
100.0%

Length

2024-05-11T03:17:04.195216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:04.606265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 342
100.0%

관리번호
Text

UNIQUE 

Distinct342
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T03:17:05.040303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters7524
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

Unique342 ?
Unique (%)100.0%

Sample

1st row3060000-103-1993-06647
2nd row3060000-103-1993-06648
3rd row3060000-103-1993-06649
4th row3060000-103-1993-06650
5th row3060000-103-1993-06651
ValueCountFrequency (%)
3060000-103-1993-06647 1
 
0.3%
3060000-103-1996-06874 1
 
0.3%
3060000-103-1996-06882 1
 
0.3%
3060000-103-1996-06881 1
 
0.3%
3060000-103-1996-06880 1
 
0.3%
3060000-103-1996-06879 1
 
0.3%
3060000-103-1996-06878 1
 
0.3%
3060000-103-1996-06877 1
 
0.3%
3060000-103-1996-06876 1
 
0.3%
3060000-103-1995-09216 1
 
0.3%
Other values (332) 332
97.1%
2024-05-11T03:17:06.428530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2535
33.7%
- 1026
13.6%
6 838
 
11.1%
3 823
 
10.9%
9 792
 
10.5%
1 756
 
10.0%
7 194
 
2.6%
8 179
 
2.4%
4 150
 
2.0%
5 143
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6498
86.4%
Dash Punctuation 1026
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2535
39.0%
6 838
 
12.9%
3 823
 
12.7%
9 792
 
12.2%
1 756
 
11.6%
7 194
 
3.0%
8 179
 
2.8%
4 150
 
2.3%
5 143
 
2.2%
2 88
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 1026
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7524
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2535
33.7%
- 1026
13.6%
6 838
 
11.1%
3 823
 
10.9%
9 792
 
10.5%
1 756
 
10.0%
7 194
 
2.6%
8 179
 
2.4%
4 150
 
2.0%
5 143
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7524
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2535
33.7%
- 1026
13.6%
6 838
 
11.1%
3 823
 
10.9%
9 792
 
10.5%
1 756
 
10.0%
7 194
 
2.6%
8 179
 
2.4%
4 150
 
2.0%
5 143
 
1.9%

인허가일자
Date

Distinct278
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1993-10-11 00:00:00
Maximum2023-06-29 00:00:00
2024-05-11T03:17:07.189045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:17:07.670861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3
250 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 250
73.1%
1 92
 
26.9%

Length

2024-05-11T03:17:08.231399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:08.578536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 250
73.1%
1 92
 
26.9%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
250 
영업/정상
92 

Length

Max length5
Median length2
Mean length2.8070175
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 250
73.1%
영업/정상 92
 
26.9%

Length

2024-05-11T03:17:09.020862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:09.477932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 250
73.1%
영업/정상 92
 
26.9%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2
250 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 250
73.1%
1 92
 
26.9%

Length

2024-05-11T03:17:10.011889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:10.444860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 250
73.1%
1 92
 
26.9%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
250 
영업
92 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 250
73.1%
영업 92
 
26.9%

Length

2024-05-11T03:17:10.979236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:11.489572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 250
73.1%
영업 92
 
26.9%

폐업일자
Date

MISSING 

Distinct225
Distinct (%)90.0%
Missing92
Missing (%)26.9%
Memory size2.8 KiB
Minimum1994-04-04 00:00:00
Maximum2023-12-11 00:00:00
2024-05-11T03:17:11.968796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:17:12.458002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

전화번호
Text

MISSING 

Distinct289
Distinct (%)91.7%
Missing27
Missing (%)7.9%
Memory size2.8 KiB
2024-05-11T03:17:13.425548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.7428571
Min length2

Characters and Unicode

Total characters3069
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

Unique275 ?
Unique (%)87.3%

Sample

1st row0204356382
2nd row0222082533
3rd row02 4343543
4th row0204949571
5th row0222087138
ValueCountFrequency (%)
02 222
41.0%
0202087878 2
 
0.4%
436 2
 
0.4%
02432 2
 
0.4%
3507 2
 
0.4%
4348325 2
 
0.4%
434 2
 
0.4%
4366635 2
 
0.4%
4392550 2
 
0.4%
4346220 2
 
0.4%
Other values (293) 302
55.7%
2024-05-11T03:17:14.869313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 556
18.1%
0 548
17.9%
4 353
11.5%
3 286
9.3%
9 262
8.5%
246
8.0%
7 211
 
6.9%
5 164
 
5.3%
8 162
 
5.3%
6 156
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2823
92.0%
Space Separator 246
 
8.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 556
19.7%
0 548
19.4%
4 353
12.5%
3 286
10.1%
9 262
9.3%
7 211
 
7.5%
5 164
 
5.8%
8 162
 
5.7%
6 156
 
5.5%
1 125
 
4.4%
Space Separator
ValueCountFrequency (%)
246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3069
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 556
18.1%
0 548
17.9%
4 353
11.5%
3 286
9.3%
9 262
8.5%
246
8.0%
7 211
 
6.9%
5 164
 
5.3%
8 162
 
5.3%
6 156
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3069
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 556
18.1%
0 548
17.9%
4 353
11.5%
3 286
9.3%
9 262
8.5%
246
8.0%
7 211
 
6.9%
5 164
 
5.3%
8 162
 
5.3%
6 156
 
5.1%

소재지면적
Real number (ℝ)

Distinct330
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.978538
Minimum23.04
Maximum379.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T03:17:15.347975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.04
5-th percentile54.285
Q174.385
median93.895
Q3121.1625
95-th percentile145.7625
Maximum379.3
Range356.26
Interquartile range (IQR)46.7775

Descriptive statistics

Standard deviation33.441102
Coefficient of variation (CV)0.34131048
Kurtosis13.402782
Mean97.978538
Median Absolute Deviation (MAD)22.185
Skewness1.8035758
Sum33508.66
Variance1118.3073
MonotonicityNot monotonic
2024-05-11T03:17:15.824178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.84 2
 
0.6%
80.51 2
 
0.6%
66.68 2
 
0.6%
142.6 2
 
0.6%
84.98 2
 
0.6%
108.57 2
 
0.6%
141.2 2
 
0.6%
88.27 2
 
0.6%
105.24 2
 
0.6%
111.72 2
 
0.6%
Other values (320) 322
94.2%
ValueCountFrequency (%)
23.04 1
0.3%
23.36 1
0.3%
26.6 1
0.3%
27.54 1
0.3%
35.84 1
0.3%
42.84 1
0.3%
46.02 1
0.3%
46.06 1
0.3%
46.98 1
0.3%
47.4 1
0.3%
ValueCountFrequency (%)
379.3 1
0.3%
181.0 1
0.3%
162.22 1
0.3%
157.65 1
0.3%
152.48 1
0.3%
150.34 1
0.3%
149.86 1
0.3%
149.23 1
0.3%
149.2 1
0.3%
149.04 1
0.3%

소재지우편번호
Text

Distinct61
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T03:17:16.488133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0701754
Min length6

Characters and Unicode

Total characters2076
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

Unique24 ?
Unique (%)7.0%

Sample

1st row131817
2nd row131820
3rd row131848
4th row131828
5th row131813
ValueCountFrequency (%)
131859 40
 
11.7%
131861 35
 
10.2%
131810 24
 
7.0%
131848 19
 
5.6%
131828 18
 
5.3%
131823 14
 
4.1%
131881 13
 
3.8%
131809 13
 
3.8%
131851 12
 
3.5%
131860 11
 
3.2%
Other values (51) 143
41.8%
2024-05-11T03:17:18.028798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 837
40.3%
8 402
19.4%
3 387
18.6%
5 89
 
4.3%
2 81
 
3.9%
0 77
 
3.7%
9 63
 
3.0%
6 55
 
2.6%
4 36
 
1.7%
7 25
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2052
98.8%
Dash Punctuation 24
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 837
40.8%
8 402
19.6%
3 387
18.9%
5 89
 
4.3%
2 81
 
3.9%
0 77
 
3.8%
9 63
 
3.1%
6 55
 
2.7%
4 36
 
1.8%
7 25
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2076
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 837
40.3%
8 402
19.4%
3 387
18.6%
5 89
 
4.3%
2 81
 
3.9%
0 77
 
3.7%
9 63
 
3.0%
6 55
 
2.6%
4 36
 
1.7%
7 25
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2076
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 837
40.3%
8 402
19.4%
3 387
18.6%
5 89
 
4.3%
2 81
 
3.9%
0 77
 
3.7%
9 63
 
3.0%
6 55
 
2.6%
4 36
 
1.7%
7 25
 
1.2%

지번주소
Text

Distinct302
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T03:17:19.014736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length21.994152
Min length18

Characters and Unicode

Total characters7522
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)78.1%

Sample

1st row서울특별시 중랑구 면목동 91-65번지
2nd row서울특별시 중랑구 면목동 179-24번지
3rd row서울특별시 중랑구 묵동 162-4
4th row서울특별시 중랑구 면목동 627-1번지
5th row서울특별시 중랑구 면목동 458-1번지
ValueCountFrequency (%)
서울특별시 342
24.8%
중랑구 342
24.8%
면목동 113
 
8.2%
상봉동 95
 
6.9%
망우동 56
 
4.1%
묵동 54
 
3.9%
중화동 24
 
1.7%
90-10번지 5
 
0.4%
2층 5
 
0.4%
136-101번지 3
 
0.2%
Other values (303) 342
24.8%
2024-05-11T03:17:20.289315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1340
17.8%
중 366
 
4.9%
서 342
 
4.5%
- 342
 
4.5%
특 342
 
4.5%
별 342
 
4.5%
시 342
 
4.5%
랑 342
 
4.5%
구 342
 
4.5%
울 342
 
4.5%
Other values (26) 3080
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4284
57.0%
Decimal Number 1555
 
20.7%
Space Separator 1340
 
17.8%
Dash Punctuation 342
 
4.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 366
8.5%
서 342
 
8.0%
특 342
 
8.0%
별 342
 
8.0%
시 342
 
8.0%
랑 342
 
8.0%
구 342
 
8.0%
울 342
 
8.0%
동 342
 
8.0%
지 282
 
6.6%
Other values (13) 900
21.0%
Decimal Number
ValueCountFrequency (%)
1 329
21.2%
3 180
11.6%
6 163
10.5%
2 150
9.6%
4 149
9.6%
0 128
 
8.2%
8 127
 
8.2%
9 121
 
7.8%
7 106
 
6.8%
5 102
 
6.6%
Space Separator
ValueCountFrequency (%)
1340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4284
57.0%
Common 3238
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 366
8.5%
서 342
 
8.0%
특 342
 
8.0%
별 342
 
8.0%
시 342
 
8.0%
랑 342
 
8.0%
구 342
 
8.0%
울 342
 
8.0%
동 342
 
8.0%
지 282
 
6.6%
Other values (13) 900
21.0%
Common
ValueCountFrequency (%)
1340
41.4%
- 342
 
10.6%
1 329
 
10.2%
3 180
 
5.6%
6 163
 
5.0%
2 150
 
4.6%
4 149
 
4.6%
0 128
 
4.0%
8 127
 
3.9%
9 121
 
3.7%
Other values (3) 209
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4284
57.0%
ASCII 3238
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1340
41.4%
- 342
 
10.6%
1 329
 
10.2%
3 180
 
5.6%
6 163
 
5.0%
2 150
 
4.6%
4 149
 
4.6%
0 128
 
4.0%
8 127
 
3.9%
9 121
 
3.7%
Other values (3) 209
 
6.5%
Hangul
ValueCountFrequency (%)
중 366
8.5%
서 342
 
8.0%
특 342
 
8.0%
별 342
 
8.0%
시 342
 
8.0%
랑 342
 
8.0%
구 342
 
8.0%
울 342
 
8.0%
동 342
 
8.0%
지 282
 
6.6%
Other values (13) 900
21.0%

도로명주소
Text

MISSING 

Distinct112
Distinct (%)100.0%
Missing230
Missing (%)67.3%
Memory size2.8 KiB
2024-05-11T03:17:20.929002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length24.857143
Min length22

Characters and Unicode

Total characters2784
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 중랑역로 274 (묵동)
2nd row서울특별시 중랑구 동일로 704 (상봉동)
3rd row서울특별시 중랑구 중랑역로 265 (묵동)
4th row서울특별시 중랑구 사가정로 412-6 (면목동)
5th row서울특별시 중랑구 용마산로 512-1 (망우동)
ValueCountFrequency (%)
서울특별시 112
19.4%
중랑구 112
19.4%
면목동 33
 
5.7%
묵동 23
 
4.0%
상봉동 21
 
3.6%
망우동 20
 
3.5%
중랑역로 19
 
3.3%
면목로 11
 
1.9%
망우로 11
 
1.9%
지하1층 11
 
1.9%
Other values (126) 203
35.2%
2024-05-11T03:17:22.013751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
464
 
16.7%
중 144
 
5.2%
랑 134
 
4.8%
동 128
 
4.6%
서 112
 
4.0%
울 112
 
4.0%
특 112
 
4.0%
별 112
 
4.0%
시 112
 
4.0%
구 112
 
4.0%
Other values (43) 1242
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1675
60.2%
Space Separator 464
 
16.7%
Decimal Number 388
 
13.9%
Close Punctuation 112
 
4.0%
Open Punctuation 112
 
4.0%
Other Punctuation 22
 
0.8%
Dash Punctuation 11
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 144
 
8.6%
랑 134
 
8.0%
동 128
 
7.6%
서 112
 
6.7%
울 112
 
6.7%
특 112
 
6.7%
별 112
 
6.7%
시 112
 
6.7%
구 112
 
6.7%
로 112
 
6.7%
Other values (27) 485
29.0%
Decimal Number
ValueCountFrequency (%)
1 94
24.2%
2 52
13.4%
3 49
12.6%
5 39
10.1%
4 33
 
8.5%
9 30
 
7.7%
6 28
 
7.2%
0 25
 
6.4%
8 22
 
5.7%
7 16
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 21
95.5%
. 1
 
4.5%
Space Separator
ValueCountFrequency (%)
464
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1675
60.2%
Common 1109
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 144
 
8.6%
랑 134
 
8.0%
동 128
 
7.6%
서 112
 
6.7%
울 112
 
6.7%
특 112
 
6.7%
별 112
 
6.7%
시 112
 
6.7%
구 112
 
6.7%
로 112
 
6.7%
Other values (27) 485
29.0%
Common
ValueCountFrequency (%)
464
41.8%
) 112
 
10.1%
( 112
 
10.1%
1 94
 
8.5%
2 52
 
4.7%
3 49
 
4.4%
5 39
 
3.5%
4 33
 
3.0%
9 30
 
2.7%
6 28
 
2.5%
Other values (6) 96
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1675
60.2%
ASCII 1109
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
464
41.8%
) 112
 
10.1%
( 112
 
10.1%
1 94
 
8.5%
2 52
 
4.7%
3 49
 
4.4%
5 39
 
3.5%
4 33
 
3.0%
9 30
 
2.7%
6 28
 
2.5%
Other values (6) 96
 
8.7%
Hangul
ValueCountFrequency (%)
중 144
 
8.6%
랑 134
 
8.0%
동 128
 
7.6%
서 112
 
6.7%
울 112
 
6.7%
특 112
 
6.7%
별 112
 
6.7%
시 112
 
6.7%
구 112
 
6.7%
로 112
 
6.7%
Other values (27) 485
29.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)58.9%
Missing235
Missing (%)68.7%
Infinite0
Infinite (%)0.0%
Mean2124.785
Minimum2001
Maximum2255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T03:17:22.484979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2005.3
Q12039
median2149
Q32166.5
95-th percentile2231.4
Maximum2255
Range254
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation74.810078
Coefficient of variation (CV)0.035208304
Kurtosis-1.011646
Mean2124.785
Median Absolute Deviation (MAD)47
Skewness-0.37659852
Sum227352
Variance5596.5477
MonotonicityNot monotonic
2024-05-11T03:17:23.205351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2163 6
 
1.8%
2006 6
 
1.8%
2164 5
 
1.5%
2149 5
 
1.5%
2120 4
 
1.2%
2032 4
 
1.2%
2018 3
 
0.9%
2004 3
 
0.9%
2152 3
 
0.9%
2200 2
 
0.6%
Other values (53) 66
 
19.3%
(Missing) 235
68.7%
ValueCountFrequency (%)
2001 1
 
0.3%
2004 3
0.9%
2005 2
 
0.6%
2006 6
1.8%
2010 2
 
0.6%
2014 1
 
0.3%
2015 1
 
0.3%
2016 1
 
0.3%
2017 1
 
0.3%
2018 3
0.9%
ValueCountFrequency (%)
2255 1
0.3%
2252 1
0.3%
2250 1
0.3%
2239 1
0.3%
2238 1
0.3%
2232 1
0.3%
2230 1
0.3%
2228 1
0.3%
2227 2
0.6%
2219 1
0.3%

사업장명
Text

Distinct305
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-05-11T03:17:23.774283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length4.2397661
Min length1

Characters and Unicode

Total characters1450
Distinct characters330
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)80.7%

Sample

1st row루꼬앙
2nd row테마
3rd row7080너랑나랑
4th row아방궁
5th row축제불우오페라
ValueCountFrequency (%)
월드컵 6
 
1.7%
황제 4
 
1.1%
노래주점 4
 
1.1%
태평양 3
 
0.8%
7080 3
 
0.8%
에이스 3
 
0.8%
브이아이피 2
 
0.6%
호박 2
 
0.6%
탈렌트 2
 
0.6%
유토피아 2
 
0.6%
Other values (305) 331
91.4%
2024-05-11T03:17:24.823353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 70
 
4.8%
점 65
 
4.5%
단 44
 
3.0%
란 44
 
3.0%
이 41
 
2.8%
스 39
 
2.7%
0 38
 
2.6%
노 34
 
2.3%
래 31
 
2.1%
라 21
 
1.4%
Other values (320) 1023
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1303
89.9%
Decimal Number 82
 
5.7%
Uppercase Letter 28
 
1.9%
Space Separator 20
 
1.4%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%
Lowercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 70
 
5.4%
점 65
 
5.0%
단 44
 
3.4%
란 44
 
3.4%
이 41
 
3.1%
스 39
 
3.0%
노 34
 
2.6%
래 31
 
2.4%
라 21
 
1.6%
차 19
 
1.5%
Other values (293) 895
68.7%
Uppercase Letter
ValueCountFrequency (%)
M 4
14.3%
B 3
10.7%
C 3
10.7%
N 2
7.1%
A 2
7.1%
E 2
7.1%
H 2
7.1%
S 2
7.1%
I 2
7.1%
U 2
7.1%
Other values (4) 4
14.3%
Decimal Number
ValueCountFrequency (%)
0 38
46.3%
7 17
20.7%
8 16
19.5%
2 5
 
6.1%
5 2
 
2.4%
6 2
 
2.4%
3 1
 
1.2%
1 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
66.7%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1303
89.9%
Common 116
 
8.0%
Latin 31
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 70
 
5.4%
점 65
 
5.0%
단 44
 
3.4%
란 44
 
3.4%
이 41
 
3.1%
스 39
 
3.0%
노 34
 
2.6%
래 31
 
2.4%
라 21
 
1.6%
차 19
 
1.5%
Other values (293) 895
68.7%
Latin
ValueCountFrequency (%)
M 4
12.9%
B 3
9.7%
C 3
9.7%
N 2
 
6.5%
A 2
 
6.5%
E 2
 
6.5%
H 2
 
6.5%
S 2
 
6.5%
s 2
 
6.5%
I 2
 
6.5%
Other values (6) 7
22.6%
Common
ValueCountFrequency (%)
0 38
32.8%
20
17.2%
7 17
14.7%
8 16
13.8%
) 7
 
6.0%
( 7
 
6.0%
2 5
 
4.3%
5 2
 
1.7%
6 2
 
1.7%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1303
89.9%
ASCII 147
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 70
 
5.4%
점 65
 
5.0%
단 44
 
3.4%
란 44
 
3.4%
이 41
 
3.1%
스 39
 
3.0%
노 34
 
2.6%
래 31
 
2.4%
라 21
 
1.6%
차 19
 
1.5%
Other values (293) 895
68.7%
ASCII
ValueCountFrequency (%)
0 38
25.9%
20
13.6%
7 17
11.6%
8 16
10.9%
) 7
 
4.8%
( 7
 
4.8%
2 5
 
3.4%
M 4
 
2.7%
B 3
 
2.0%
C 3
 
2.0%
Other values (17) 27
18.4%

최종수정일자
Date

Distinct203
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1999-02-08 00:00:00
Maximum2024-04-27 12:42:48
2024-05-11T03:17:25.290023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:17:25.657598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
268 
U
74 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 268
78.4%
U 74
 
21.6%

Length

2024-05-11T03:17:26.047441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:26.371599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 268
78.4%
u 74
 
21.6%

데이터갱신일자
Date

Distinct70
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:09:00
2024-05-11T03:17:26.723724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:17:27.206835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
단란주점
342 

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 342
100.0%

Length

2024-05-11T03:17:27.780368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:28.130259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 342
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)84.9%
Missing10
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean207455.18
Minimum206345.47
Maximum209249.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T03:17:28.493898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206345.47
5-th percentile206417.07
Q1206772.52
median207535.61
Q3208007.25
95-th percentile208763.29
Maximum209249.74
Range2904.2647
Interquartile range (IQR)1234.7313

Descriptive statistics

Standard deviation739.29166
Coefficient of variation (CV)0.0035636211
Kurtosis-1.0936342
Mean207455.18
Median Absolute Deviation (MAD)707.62918
Skewness0.26974242
Sum68875119
Variance546552.16
MonotonicityNot monotonic
2024-05-11T03:17:28.917853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207797.506778799 5
 
1.5%
206806.082717516 3
 
0.9%
206398.509841253 3
 
0.9%
208753.865760281 2
 
0.6%
206762.747429457 2
 
0.6%
207586.590090956 2
 
0.6%
207825.366476192 2
 
0.6%
207870.434093971 2
 
0.6%
208242.575221187 2
 
0.6%
207756.87615572 2
 
0.6%
Other values (272) 307
89.8%
(Missing) 10
 
2.9%
ValueCountFrequency (%)
206345.47354923 1
 
0.3%
206363.827759373 1
 
0.3%
206374.274201539 1
 
0.3%
206390.408395132 1
 
0.3%
206390.900219807 1
 
0.3%
206394.635427781 2
0.6%
206398.42656157 1
 
0.3%
206398.509841253 3
0.9%
206400.509608473 2
0.6%
206405.52212193 1
 
0.3%
ValueCountFrequency (%)
209249.738219376 1
0.3%
209210.830664866 1
0.3%
208885.083281145 1
0.3%
208851.6559447 1
0.3%
208823.948326994 2
0.6%
208814.147876688 1
0.3%
208809.711508831 1
0.3%
208808.078080074 1
0.3%
208806.016648615 1
0.3%
208781.999418607 2
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)84.9%
Missing10
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean454785.49
Minimum452134.33
Maximum457265.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T03:17:29.558744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452134.33
5-th percentile453131
Q1454208.35
median454689.54
Q3455212.49
95-th percentile456988.83
Maximum457265.67
Range5131.3396
Interquartile range (IQR)1004.1399

Descriptive statistics

Standard deviation1074.2212
Coefficient of variation (CV)0.0023620394
Kurtosis-0.025241092
Mean454785.49
Median Absolute Deviation (MAD)497.84456
Skewness0.38199575
Sum1.5098878 × 108
Variance1153951.3
MonotonicityNot monotonic
2024-05-11T03:17:30.264608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454835.324999067 5
 
1.5%
457062.242123061 3
 
0.9%
454351.142750003 3
 
0.9%
454841.528027962 2
 
0.6%
454583.377778205 2
 
0.6%
452995.57623746 2
 
0.6%
454846.5337841 2
 
0.6%
454807.934645678 2
 
0.6%
454650.70312581 2
 
0.6%
453652.560016142 2
 
0.6%
Other values (272) 307
89.8%
(Missing) 10
 
2.9%
ValueCountFrequency (%)
452134.332757901 1
0.3%
452235.487764763 1
0.3%
452365.155329401 1
0.3%
452706.736309718 1
0.3%
452919.770174065 1
0.3%
452963.121293888 1
0.3%
452995.57623746 2
0.6%
453002.271578754 1
0.3%
453023.759980751 1
0.3%
453071.827543665 1
0.3%
ValueCountFrequency (%)
457265.672362086 1
 
0.3%
457112.38247663 1
 
0.3%
457106.238196389 1
 
0.3%
457098.735168199 1
 
0.3%
457095.813216986 1
 
0.3%
457088.290633135 1
 
0.3%
457087.081125398 1
 
0.3%
457062.242123061 3
0.9%
457058.833608079 1
 
0.3%
457035.673883825 1
 
0.3%

위생업태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
단란주점
302 
<NA>
40 

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 302
88.3%
<NA> 40
 
11.7%

Length

2024-05-11T03:17:30.808584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:31.263938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 302
88.3%
na 40
 
11.7%

남성종사자수
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
0
129 
1
112 
<NA>
63 
2
37 
3
 
1

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 129
37.7%
1 112
32.7%
<NA> 63
18.4%
2 37
 
10.8%
3 1
 
0.3%

Length

2024-05-11T03:17:31.776757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:32.230733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 129
37.7%
1 112
32.7%
na 63
18.4%
2 37
 
10.8%
3 1
 
0.3%

여성종사자수
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
0
99 
1
89 
2
87 
<NA>
63 
3
 
4

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 99
28.9%
1 89
26.0%
2 87
25.4%
<NA> 63
18.4%
3 4
 
1.2%

Length

2024-05-11T03:17:32.970373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:33.794416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 99
28.9%
1 89
26.0%
2 87
25.4%
na 63
18.4%
3 4
 
1.2%

영업장주변구분명
Categorical

Distinct5
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
주택가주변
132 
기타
116 
<NA>
58 
유흥업소밀집지역
30 
결혼예식장주변
 
6

Length

Max length8
Median length7
Mean length4.1111111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택가주변 132
38.6%
기타 116
33.9%
<NA> 58
17.0%
유흥업소밀집지역 30
 
8.8%
결혼예식장주변 6
 
1.8%

Length

2024-05-11T03:17:34.618825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:35.360593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택가주변 132
38.6%
기타 116
33.9%
na 58
17.0%
유흥업소밀집지역 30
 
8.8%
결혼예식장주변 6
 
1.8%

등급구분명
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
기타
223 
<NA>
69 
관리
 
19
자율
 
17
을
 
13

Length

Max length4
Median length2
Mean length2.3654971
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
기타 223
65.2%
<NA> 69
 
20.2%
관리 19
 
5.6%
자율 17
 
5.0%
을 13
 
3.8%
지도 1
 
0.3%

Length

2024-05-11T03:17:36.256073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:36.809558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 223
65.2%
na 69
 
20.2%
관리 19
 
5.6%
자율 17
 
5.0%
을 13
 
3.8%
지도 1
 
0.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
상수도전용
281 
<NA>
61 

Length

Max length5
Median length5
Mean length4.8216374
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 281
82.2%
<NA> 61
 
17.8%

Length

2024-05-11T03:17:37.476837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:37.906157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 281
82.2%
na 61
 
17.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
340 
0
 
2

Length

Max length4
Median length4
Mean length3.9824561
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> 340
99.4%
0 2
 
0.6%

Length

2024-05-11T03:17:38.290670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:38.648048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
99.4%
0 2
 
0.6%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
340 
0
 
2

Length

Max length4
Median length4
Mean length3.9824561
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> 340
99.4%
0 2
 
0.6%

Length

2024-05-11T03:17:39.025384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:39.386975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
99.4%
0 2
 
0.6%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
340 
0
 
2

Length

Max length4
Median length4
Mean length3.9824561
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> 340
99.4%
0 2
 
0.6%

Length

2024-05-11T03:17:39.763555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:40.155390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
99.4%
0 2
 
0.6%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
340 
0
 
2

Length

Max length4
Median length4
Mean length3.9824561
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> 340
99.4%
0 2
 
0.6%

Length

2024-05-11T03:17:40.656784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:40.971607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
99.4%
0 2
 
0.6%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
340 
0
 
2

Length

Max length4
Median length4
Mean length3.9824561
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> 340
99.4%
0 2
 
0.6%

Length

2024-05-11T03:17:41.382507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:41.928998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
99.4%
0 2
 
0.6%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
340 
0
 
2

Length

Max length4
Median length4
Mean length3.9824561
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> 340
99.4%
0 2
 
0.6%

Length

2024-05-11T03:17:42.484228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:42.957579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
99.4%
0 2
 
0.6%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
340 
0
 
2

Length

Max length4
Median length4
Mean length3.9824561
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> 340
99.4%
0 2
 
0.6%

Length

2024-05-11T03:17:43.470085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:17:43.851726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 340
99.4%
0 2
 
0.6%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.7%
Missing40
Missing (%)11.7%
Memory size816.0 B
False
295 
True
 
7
(Missing)
40 
ValueCountFrequency (%)
False 295
86.3%
True 7
 
2.0%
(Missing) 40
 
11.7%
2024-05-11T03:17:44.223535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct294
Distinct (%)97.4%
Missing40
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean97.204106
Minimum23.04
Maximum379.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-05-11T03:17:44.539470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.04
5-th percentile52.9135
Q172.4625
median93.57
Q3119.7175
95-th percentile145.1995
Maximum379.3
Range356.26
Interquartile range (IQR)47.255

Descriptive statistics

Standard deviation34.280552
Coefficient of variation (CV)0.35266568
Kurtosis13.931042
Mean97.204106
Median Absolute Deviation (MAD)23.03
Skewness1.9134526
Sum29355.64
Variance1175.1563
MonotonicityNot monotonic
2024-05-11T03:17:45.069742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.24 2
 
0.6%
84.98 2
 
0.6%
141.2 2
 
0.6%
108.57 2
 
0.6%
66.68 2
 
0.6%
80.51 2
 
0.6%
70.54 2
 
0.6%
93.57 2
 
0.6%
59.63 1
 
0.3%
145.77 1
 
0.3%
Other values (284) 284
83.0%
(Missing) 40
 
11.7%
ValueCountFrequency (%)
23.04 1
0.3%
23.36 1
0.3%
26.6 1
0.3%
27.54 1
0.3%
35.84 1
0.3%
42.84 1
0.3%
46.02 1
0.3%
46.06 1
0.3%
46.98 1
0.3%
47.4 1
0.3%
ValueCountFrequency (%)
379.3 1
0.3%
181.0 1
0.3%
162.22 1
0.3%
157.65 1
0.3%
152.48 1
0.3%
150.34 1
0.3%
149.86 1
0.3%
149.23 1
0.3%
149.2 1
0.3%
149.04 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing342
Missing (%)100.0%
Memory size3.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030600003060000-103-1993-0664719931011<NA>3폐업2폐업19950203<NA><NA><NA>020435638293.84131817서울특별시 중랑구 면목동 91-65번지<NA><NA>루꼬앙2001-09-28 00:00:00I2018-08-31 23:59:59.0단란주점207599.314242454453.543749단란주점11기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N93.84<NA><NA><NA>
130600003060000-103-1993-0664819931011<NA>3폐업2폐업20041026<NA><NA><NA>0222082533150.34131820서울특별시 중랑구 면목동 179-24번지<NA><NA>테마2003-11-24 00:00:00I2018-08-31 23:59:59.0단란주점206963.656507453966.434982단란주점01기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N150.34<NA><NA><NA>
230600003060000-103-1993-0664919931013<NA>1영업/정상1영업<NA><NA><NA><NA><NA>88.84131848서울특별시 중랑구 묵동 162-4서울특별시 중랑구 중랑역로 274 (묵동)20327080너랑나랑2021-03-19 13:54:49U2021-03-21 02:40:00.0단란주점206869.005777457098.735168단란주점00주택가주변자율상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N88.84<NA><NA><NA>
330600003060000-103-1993-0665019931014<NA>3폐업2폐업20041119<NA><NA><NA>02 434354371.76131828서울특별시 중랑구 면목동 627-1번지<NA><NA>아방궁2004-08-04 00:00:00I2018-08-31 23:59:59.0단란주점207557.339065452919.770174단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N71.76<NA><NA><NA>
430600003060000-103-1993-0665119931015<NA>3폐업2폐업19990721<NA><NA><NA>0204949571146.46131813서울특별시 중랑구 면목동 458-1번지<NA><NA>축제불우오페라1999-07-21 00:00:00I2018-08-31 23:59:59.0단란주점207763.150721453460.919336단란주점22기타을상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N146.46<NA><NA><NA>
530600003060000-103-1993-0665219931015<NA>3폐업2폐업20050127<NA><NA><NA>022208713881.88131881서울특별시 중랑구 중화동 307-62번지<NA><NA>스피드2002-07-06 00:00:00I2018-08-31 23:59:59.0단란주점206773.731001455752.030473단란주점10기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N81.88<NA><NA><NA>
630600003060000-103-1993-0665319931015<NA>3폐업2폐업19941025<NA><NA><NA>020491165993.57131859서울특별시 중랑구 상봉동 101-12번지<NA><NA>바랭이2001-09-28 00:00:00I2018-08-31 23:59:59.0단란주점207528.881992454885.742688단란주점12기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N93.57<NA><NA><NA>
730600003060000-103-1993-0665419931019<NA>3폐업2폐업20040629<NA><NA><NA>02 492280261.64131817서울특별시 중랑구 면목동 91-19번지<NA><NA>비젼단란주점2003-02-11 00:00:00I2018-08-31 23:59:59.0단란주점207741.8276454519.869175단란주점12기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N61.64<NA><NA><NA>
830600003060000-103-1993-0665519931019<NA>3폐업2폐업19960624<NA><NA><NA>02 439323278.66131861서울특별시 중랑구 상봉동 129-66번지<NA><NA>중랑2001-09-28 00:00:00I2018-08-31 23:59:59.0단란주점206701.081082454570.644342단란주점12유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N78.66<NA><NA><NA>
930600003060000-103-1993-0665619931019<NA>3폐업2폐업19950808<NA><NA><NA>02 494312654.27131817서울특별시 중랑구 면목동 91-64번지<NA><NA>물망초2001-09-28 00:00:00I2018-08-31 23:59:59.0단란주점207681.109747454503.51708단란주점02기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N54.27<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
33230600003060000-103-2011-0000120110404<NA>1영업/정상1영업<NA><NA><NA><NA>02 4949626116.13131860서울특별시 중랑구 상봉동 113-3번지 2층서울특별시 중랑구 면목로 483 (상봉동,2층)2137슈퍼스타2017-04-03 15:42:48I2018-08-31 23:59:59.0단란주점207491.329734454749.01185단란주점10기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N116.13<NA><NA><NA>
33330600003060000-103-2011-000022011-04-28<NA>1영업/정상1영업<NA><NA><NA><NA><NA>122.12131-848서울특별시 중랑구 묵동 163-1 2층서울특별시 중랑구 숙선옹주로 3 (묵동,2층)2032노래하는 포장마차2023-03-17 13:24:24U2022-12-02 23:09:00.0단란주점206806.082718457062.242123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33430600003060000-103-2011-0000320110601<NA>1영업/정상1영업<NA><NA><NA><NA>02 433 3357121.92131859서울특별시 중랑구 상봉동 88-76번지 지층서울특별시 중랑구 봉우재로33길 76 (상봉동,지층)2151대박 라이브2020-05-04 17:42:16U2020-05-06 02:40:00.0단란주점207842.548744454783.174331단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N121.92<NA><NA><NA>
33530600003060000-103-2013-0000120130108<NA>1영업/정상1영업<NA><NA><NA><NA>02 435 3189134.98131810서울특별시 중랑구 망우동 563-3번지 2층호서울특별시 중랑구 망우로 384 (망우동)2163놀아70802017-09-29 15:56:32I2018-08-31 23:59:59.0단란주점208313.111445455125.163019단란주점<NA><NA>유흥업소밀집지역<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N134.98<NA><NA><NA>
33630600003060000-103-2013-0000220131122<NA>1영업/정상1영업<NA><NA><NA><NA><NA>135.46131859서울특별시 중랑구 상봉동 90-29번지 지하1층서울특별시 중랑구 면목로96길 48 (상봉동)2149신세계노래주점2020-05-25 09:28:23U2020-05-27 02:40:00.0단란주점207743.785254454876.560566단란주점<NA>2유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y135.46<NA><NA><NA>
33730600003060000-103-2013-0000320131210<NA>1영업/정상1영업<NA><NA><NA><NA>02 4347696139.95131828서울특별시 중랑구 면목동 634-5번지서울특별시 중랑구 면목로 311, 2층 (면목동)2238세시봉2016-10-06 14:06:44I2018-08-31 23:59:59.0단란주점207683.608994453071.827544단란주점12기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N139.95<NA><NA><NA>
33830600003060000-103-2015-0000120151106<NA>1영업/정상1영업<NA><NA><NA><NA>02 973123775.04131848서울특별시 중랑구 묵동 163-29번지 2층서울특별시 중랑구 숙선옹주로 11, 2층 (묵동)2032동양노래주점2015-11-06 13:29:20I2018-08-31 23:59:59.0단란주점206862.805886457025.52325단란주점<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y75.04<NA><NA><NA>
33930600003060000-103-2016-0000120160127<NA>1영업/정상1영업<NA><NA><NA><NA><NA>134.62131810서울특별시 중랑구 망우동 563-15 2층서울특별시 중랑구 망우로 378-1, 2층 (망우동)2163동학라이브2022-06-21 16:20:37U2021-12-05 22:03:00.0단란주점208255.055707455113.164098<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34030600003060000-103-2017-0000120170724<NA>1영업/정상1영업<NA><NA><NA><NA><NA>111.72131848서울특별시 중랑구 묵동 175-2 지하1층서울특별시 중랑구 동일로 920 (묵동, 지하1층)2033불후의명곡 7080라이브2022-09-13 15:13:52U2021-12-08 23:05:00.0단란주점206780.207621456698.489465<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34130600003060000-103-2023-000012023-06-29<NA>1영업/정상1영업<NA><NA><NA><NA><NA>110.02131-859서울특별시 중랑구 상봉동 89-1서울특별시 중랑구 망우로50길 15, 2층 (상봉동)2149해와달2023-06-29 09:08:51I2022-12-07 00:01:00.0단란주점207807.657649454906.600906<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>