Overview

Dataset statistics

Number of variables44
Number of observations318
Missing cells2692
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory116.9 KiB
Average record size in memory376.4 B

Variable types

Categorical21
Text6
DateTime4
Unsupported7
Numeric5
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18008/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (62.3%)Imbalance
여성종사자수 is highly imbalanced (68.5%)Imbalance
영업장주변구분명 is highly imbalanced (67.1%)Imbalance
등급구분명 is highly imbalanced (58.0%)Imbalance
총인원 is highly imbalanced (67.4%)Imbalance
본사종업원수 is highly imbalanced (56.6%)Imbalance
공장사무직종업원수 is highly imbalanced (67.4%)Imbalance
공장판매직종업원수 is highly imbalanced (67.4%)Imbalance
공장생산직종업원수 is highly imbalanced (67.4%)Imbalance
건물소유구분명 is highly imbalanced (73.7%)Imbalance
인허가취소일자 has 318 (100.0%) missing valuesMissing
폐업일자 has 210 (66.0%) missing valuesMissing
휴업시작일자 has 318 (100.0%) missing valuesMissing
휴업종료일자 has 318 (100.0%) missing valuesMissing
재개업일자 has 318 (100.0%) missing valuesMissing
전화번호 has 38 (11.9%) missing valuesMissing
소재지면적 has 67 (21.1%) missing valuesMissing
도로명주소 has 26 (8.2%) missing valuesMissing
도로명우편번호 has 29 (9.1%) missing valuesMissing
좌표정보(X) has 8 (2.5%) missing valuesMissing
좌표정보(Y) has 8 (2.5%) missing valuesMissing
다중이용업소여부 has 39 (12.3%) missing valuesMissing
시설총규모 has 39 (12.3%) missing valuesMissing
전통업소지정번호 has 318 (100.0%) missing valuesMissing
전통업소주된음식 has 318 (100.0%) missing valuesMissing
홈페이지 has 318 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 107 (33.6%) zerosZeros
시설총규모 has 158 (49.7%) zerosZeros

Reproduction

Analysis started2024-04-06 11:28:05.888318
Analysis finished2024-04-06 11:28:07.048424
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
3060000
318 

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 318
100.0%

Length

2024-04-06T20:28:07.176732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:07.322521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 318
100.0%

관리번호
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-06T20:28:07.642210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6996
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

Unique318 ?
Unique (%)100.0%

Sample

1st row3060000-105-1963-00047
2nd row3060000-105-1987-00007
3rd row3060000-105-1988-00001
4th row3060000-105-1988-00002
5th row3060000-105-1988-00003
ValueCountFrequency (%)
3060000-105-1963-00047 1
 
0.3%
3060000-105-2013-00005 1
 
0.3%
3060000-105-2013-00012 1
 
0.3%
3060000-105-2013-00011 1
 
0.3%
3060000-105-2013-00010 1
 
0.3%
3060000-105-2013-00009 1
 
0.3%
3060000-105-2013-00008 1
 
0.3%
3060000-105-2013-00007 1
 
0.3%
3060000-105-2013-00016 1
 
0.3%
3060000-105-2013-00004 1
 
0.3%
Other values (308) 308
96.9%
2024-04-06T20:28:08.145515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3494
49.9%
- 954
 
13.6%
1 617
 
8.8%
3 419
 
6.0%
2 404
 
5.8%
5 393
 
5.6%
6 374
 
5.3%
9 141
 
2.0%
8 81
 
1.2%
4 61
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6042
86.4%
Dash Punctuation 954
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3494
57.8%
1 617
 
10.2%
3 419
 
6.9%
2 404
 
6.7%
5 393
 
6.5%
6 374
 
6.2%
9 141
 
2.3%
8 81
 
1.3%
4 61
 
1.0%
7 58
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6996
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3494
49.9%
- 954
 
13.6%
1 617
 
8.8%
3 419
 
6.0%
2 404
 
5.8%
5 393
 
5.6%
6 374
 
5.3%
9 141
 
2.0%
8 81
 
1.2%
4 61
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3494
49.9%
- 954
 
13.6%
1 617
 
8.8%
3 419
 
6.0%
2 404
 
5.8%
5 393
 
5.6%
6 374
 
5.3%
9 141
 
2.0%
8 81
 
1.2%
4 61
 
0.9%

인허가일자
Date

Distinct281
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1963-07-01 00:00:00
Maximum2023-02-16 00:00:00
2024-04-06T20:28:08.396707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:28:08.737709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
210 
3
108 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 210
66.0%
3 108
34.0%

Length

2024-04-06T20:28:08.943179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:09.119094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 210
66.0%
3 108
34.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업/정상
210 
폐업
108 

Length

Max length5
Median length5
Mean length3.9811321
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 210
66.0%
폐업 108
34.0%

Length

2024-04-06T20:28:09.315381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:09.503726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 210
66.0%
폐업 108
34.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
1
210 
2
108 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 210
66.0%
2 108
34.0%

Length

2024-04-06T20:28:09.659139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:09.816739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 210
66.0%
2 108
34.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
영업
210 
폐업
108 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 210
66.0%
폐업 108
34.0%

Length

2024-04-06T20:28:09.974914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:10.174477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 210
66.0%
폐업 108
34.0%

폐업일자
Date

MISSING 

Distinct106
Distinct (%)98.1%
Missing210
Missing (%)66.0%
Memory size2.6 KiB
Minimum1996-06-17 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T20:28:10.381973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:28:10.619040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

전화번호
Text

MISSING 

Distinct273
Distinct (%)97.5%
Missing38
Missing (%)11.9%
Memory size2.6 KiB
2024-04-06T20:28:11.114156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.707143
Min length2

Characters and Unicode

Total characters2998
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

Unique266 ?
Unique (%)95.0%

Sample

1st row02 9730051
2nd row02 4330214
3rd row02 491 0205
4th row02 4355157
5th row02
ValueCountFrequency (%)
02 223
38.9%
434 9
 
1.6%
432 6
 
1.0%
438 6
 
1.0%
433 6
 
1.0%
493 5
 
0.9%
435 4
 
0.7%
437 3
 
0.5%
070 3
 
0.5%
439 3
 
0.5%
Other values (291) 306
53.3%
2024-04-06T20:28:12.060126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 525
17.5%
2 510
17.0%
403
13.4%
4 343
11.4%
3 279
9.3%
9 220
7.3%
1 202
 
6.7%
7 159
 
5.3%
6 136
 
4.5%
5 124
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2595
86.6%
Space Separator 403
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 525
20.2%
2 510
19.7%
4 343
13.2%
3 279
10.8%
9 220
8.5%
1 202
 
7.8%
7 159
 
6.1%
6 136
 
5.2%
5 124
 
4.8%
8 97
 
3.7%
Space Separator
ValueCountFrequency (%)
403
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2998
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 525
17.5%
2 510
17.0%
403
13.4%
4 343
11.4%
3 279
9.3%
9 220
7.3%
1 202
 
6.7%
7 159
 
5.3%
6 136
 
4.5%
5 124
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2998
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 525
17.5%
2 510
17.0%
403
13.4%
4 343
11.4%
3 279
9.3%
9 220
7.3%
1 202
 
6.7%
7 159
 
5.3%
6 136
 
4.5%
5 124
 
4.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct137
Distinct (%)54.6%
Missing67
Missing (%)21.1%
Infinite0
Infinite (%)0.0%
Mean58.918685
Minimum0
Maximum1655
Zeros107
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-06T20:28:12.308225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.76
Q387.27
95-th percentile199
Maximum1655
Range1655
Interquartile range (IQR)87.27

Descriptive statistics

Standard deviation131.85336
Coefficient of variation (CV)2.237887
Kurtosis87.466474
Mean58.918685
Median Absolute Deviation (MAD)12.76
Skewness7.8552815
Sum14788.59
Variance17385.309
MonotonicityNot monotonic
2024-04-06T20:28:12.547479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 107
33.6%
69.3 2
 
0.6%
26.4 2
 
0.6%
69.8 2
 
0.6%
18.0 2
 
0.6%
66.0 2
 
0.6%
18.9 2
 
0.6%
9.9 2
 
0.6%
19.0 2
 
0.6%
54.48 1
 
0.3%
Other values (127) 127
39.9%
(Missing) 67
21.1%
ValueCountFrequency (%)
0.0 107
33.6%
3.66 1
 
0.3%
4.8 1
 
0.3%
4.95 1
 
0.3%
5.25 1
 
0.3%
5.48 1
 
0.3%
5.52 1
 
0.3%
6.6 1
 
0.3%
7.9 1
 
0.3%
8.7 1
 
0.3%
ValueCountFrequency (%)
1655.0 1
0.3%
664.0 1
0.3%
379.32 1
0.3%
373.2 1
0.3%
356.0 1
0.3%
330.0 1
0.3%
324.0 1
0.3%
296.98 1
0.3%
276.75 1
0.3%
268.6 1
0.3%

소재지우편번호
Text

Distinct99
Distinct (%)31.2%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-04-06T20:28:13.031695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0757098
Min length6

Characters and Unicode

Total characters1926
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

Unique38 ?
Unique (%)12.0%

Sample

1st row131852
2nd row131870
3rd row131830
4th row131812
5th row131831
ValueCountFrequency (%)
131802 14
 
4.4%
131865 12
 
3.8%
131875 11
 
3.5%
131807 9
 
2.8%
131812 8
 
2.5%
131810 8
 
2.5%
131846 8
 
2.5%
131863 8
 
2.5%
131811 7
 
2.2%
131868 7
 
2.2%
Other values (89) 225
71.0%
2024-04-06T20:28:13.720989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 718
37.3%
3 371
19.3%
8 330
17.1%
0 101
 
5.2%
2 94
 
4.9%
6 83
 
4.3%
7 78
 
4.0%
5 66
 
3.4%
4 32
 
1.7%
9 29
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1902
98.8%
Dash Punctuation 24
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 718
37.7%
3 371
19.5%
8 330
17.4%
0 101
 
5.3%
2 94
 
4.9%
6 83
 
4.4%
7 78
 
4.1%
5 66
 
3.5%
4 32
 
1.7%
9 29
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1926
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 718
37.3%
3 371
19.3%
8 330
17.1%
0 101
 
5.2%
2 94
 
4.9%
6 83
 
4.3%
7 78
 
4.0%
5 66
 
3.4%
4 32
 
1.7%
9 29
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1926
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 718
37.3%
3 371
19.3%
8 330
17.1%
0 101
 
5.2%
2 94
 
4.9%
6 83
 
4.3%
7 78
 
4.0%
5 66
 
3.4%
4 32
 
1.7%
9 29
 
1.5%

지번주소
Text

Distinct294
Distinct (%)92.7%
Missing1
Missing (%)0.3%
Memory size2.6 KiB
2024-04-06T20:28:14.227456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length22.618297
Min length16

Characters and Unicode

Total characters7170
Distinct characters158
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique274 ?
Unique (%)86.4%

Sample

1st row서울특별시 중랑구 묵동 244-20번지
2nd row서울특별시 중랑구 신내동 531-0번지
3rd row서울특별시 중랑구 면목동 378-3번지
4th row서울특별시 중랑구 면목동 81-3번지
5th row서울특별시 중랑구 면목동 568-1번지
ValueCountFrequency (%)
서울특별시 317
23.6%
중랑구 317
23.6%
면목동 103
 
7.7%
망우동 60
 
4.5%
신내동 53
 
3.9%
상봉동 40
 
3.0%
묵동 32
 
2.4%
중화동 29
 
2.2%
0 5
 
0.4%
481번지 4
 
0.3%
Other values (335) 386
28.7%
2024-04-06T20:28:14.933700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1308
18.2%
중 355
 
5.0%
서 329
 
4.6%
동 326
 
4.5%
울 326
 
4.5%
랑 324
 
4.5%
구 320
 
4.5%
시 319
 
4.4%
별 317
 
4.4%
특 317
 
4.4%
Other values (148) 2929
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4327
60.3%
Space Separator 1308
 
18.2%
Decimal Number 1289
 
18.0%
Dash Punctuation 242
 
3.4%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 355
 
8.2%
서 329
 
7.6%
동 326
 
7.5%
울 326
 
7.5%
랑 324
 
7.5%
구 320
 
7.4%
시 319
 
7.4%
별 317
 
7.3%
특 317
 
7.3%
지 255
 
5.9%
Other values (132) 1139
26.3%
Decimal Number
ValueCountFrequency (%)
1 275
21.3%
2 185
14.4%
4 128
9.9%
3 128
9.9%
6 111
8.6%
5 108
 
8.4%
8 103
 
8.0%
0 101
 
7.8%
7 85
 
6.6%
9 65
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
L 1
25.0%
H 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
1308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 242
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4327
60.3%
Common 2839
39.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 355
 
8.2%
서 329
 
7.6%
동 326
 
7.5%
울 326
 
7.5%
랑 324
 
7.5%
구 320
 
7.4%
시 319
 
7.4%
별 317
 
7.3%
특 317
 
7.3%
지 255
 
5.9%
Other values (132) 1139
26.3%
Common
ValueCountFrequency (%)
1308
46.1%
1 275
 
9.7%
- 242
 
8.5%
2 185
 
6.5%
4 128
 
4.5%
3 128
 
4.5%
6 111
 
3.9%
5 108
 
3.8%
8 103
 
3.6%
0 101
 
3.6%
Other values (2) 150
 
5.3%
Latin
ValueCountFrequency (%)
J 1
25.0%
L 1
25.0%
H 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4327
60.3%
ASCII 2843
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1308
46.0%
1 275
 
9.7%
- 242
 
8.5%
2 185
 
6.5%
4 128
 
4.5%
3 128
 
4.5%
6 111
 
3.9%
5 108
 
3.8%
8 103
 
3.6%
0 101
 
3.6%
Other values (6) 154
 
5.4%
Hangul
ValueCountFrequency (%)
중 355
 
8.2%
서 329
 
7.6%
동 326
 
7.5%
울 326
 
7.5%
랑 324
 
7.5%
구 320
 
7.4%
시 319
 
7.4%
별 317
 
7.3%
특 317
 
7.3%
지 255
 
5.9%
Other values (132) 1139
26.3%

도로명주소
Text

MISSING 

Distinct277
Distinct (%)94.9%
Missing26
Missing (%)8.2%
Memory size2.6 KiB
2024-04-06T20:28:15.418384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length27.445205
Min length21

Characters and Unicode

Total characters8014
Distinct characters170
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)90.4%

Sample

1st row서울특별시 중랑구 신내로7가길 22 (신내동)
2nd row서울특별시 중랑구 면목로 230 (면목동)
3rd row서울특별시 중랑구 망우로 511 (망우동)
4th row서울특별시 중랑구 면목로 473 (상봉동)
5th row서울특별시 중랑구 봉화산로 179 (신내동)
ValueCountFrequency (%)
서울특별시 292
18.3%
중랑구 292
18.3%
면목동 89
 
5.6%
망우동 59
 
3.7%
신내동 48
 
3.0%
상봉동 37
 
2.3%
묵동 31
 
1.9%
중화동 28
 
1.8%
망우로 20
 
1.3%
봉화산로 19
 
1.2%
Other values (392) 678
42.6%
2024-04-06T20:28:16.097295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1301
 
16.2%
동 353
 
4.4%
중 341
 
4.3%
랑 309
 
3.9%
서 303
 
3.8%
울 300
 
3.7%
구 295
 
3.7%
시 293
 
3.7%
( 292
 
3.6%
특 292
 
3.6%
Other values (160) 3935
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4859
60.6%
Space Separator 1301
 
16.2%
Decimal Number 1135
 
14.2%
Open Punctuation 292
 
3.6%
Close Punctuation 292
 
3.6%
Other Punctuation 94
 
1.2%
Dash Punctuation 32
 
0.4%
Math Symbol 5
 
0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 353
 
7.3%
중 341
 
7.0%
랑 309
 
6.4%
서 303
 
6.2%
울 300
 
6.2%
구 295
 
6.1%
시 293
 
6.0%
특 292
 
6.0%
별 292
 
6.0%
로 290
 
6.0%
Other values (140) 1791
36.9%
Decimal Number
ValueCountFrequency (%)
1 242
21.3%
2 144
12.7%
3 131
11.5%
5 117
10.3%
4 111
9.8%
7 96
 
8.5%
6 85
 
7.5%
0 82
 
7.2%
9 66
 
5.8%
8 61
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
H 1
25.0%
L 1
25.0%
J 1
25.0%
Space Separator
ValueCountFrequency (%)
1301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 292
100.0%
Close Punctuation
ValueCountFrequency (%)
) 292
100.0%
Other Punctuation
ValueCountFrequency (%)
, 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4859
60.6%
Common 3151
39.3%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 353
 
7.3%
중 341
 
7.0%
랑 309
 
6.4%
서 303
 
6.2%
울 300
 
6.2%
구 295
 
6.1%
시 293
 
6.0%
특 292
 
6.0%
별 292
 
6.0%
로 290
 
6.0%
Other values (140) 1791
36.9%
Common
ValueCountFrequency (%)
1301
41.3%
( 292
 
9.3%
) 292
 
9.3%
1 242
 
7.7%
2 144
 
4.6%
3 131
 
4.2%
5 117
 
3.7%
4 111
 
3.5%
7 96
 
3.0%
, 94
 
3.0%
Other values (6) 331
 
10.5%
Latin
ValueCountFrequency (%)
A 1
25.0%
H 1
25.0%
L 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4859
60.6%
ASCII 3155
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1301
41.2%
( 292
 
9.3%
) 292
 
9.3%
1 242
 
7.7%
2 144
 
4.6%
3 131
 
4.2%
5 117
 
3.7%
4 111
 
3.5%
7 96
 
3.0%
, 94
 
3.0%
Other values (10) 335
 
10.6%
Hangul
ValueCountFrequency (%)
동 353
 
7.3%
중 341
 
7.0%
랑 309
 
6.4%
서 303
 
6.2%
울 300
 
6.2%
구 295
 
6.1%
시 293
 
6.0%
특 292
 
6.0%
별 292
 
6.0%
로 290
 
6.0%
Other values (140) 1791
36.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct159
Distinct (%)55.0%
Missing29
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean2120.7958
Minimum2002
Maximum2263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-06T20:28:16.287512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2022.4
Q12056
median2106
Q32179
95-th percentile2248.6
Maximum2263
Range261
Interquartile range (IQR)123

Descriptive statistics

Standard deviation73.793277
Coefficient of variation (CV)0.034795088
Kurtosis-1.1917152
Mean2120.7958
Median Absolute Deviation (MAD)61
Skewness0.29128121
Sum612910
Variance5445.4478
MonotonicityNot monotonic
2024-04-06T20:28:16.507214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2062 6
 
1.9%
2069 6
 
1.9%
2055 6
 
1.9%
2057 6
 
1.9%
2043 5
 
1.6%
2193 5
 
1.6%
2041 5
 
1.6%
2075 5
 
1.6%
2089 5
 
1.6%
2174 5
 
1.6%
Other values (149) 235
73.9%
(Missing) 29
 
9.1%
ValueCountFrequency (%)
2002 1
0.3%
2003 1
0.3%
2004 1
0.3%
2005 1
0.3%
2006 1
0.3%
2007 1
0.3%
2008 1
0.3%
2011 1
0.3%
2013 1
0.3%
2014 1
0.3%
ValueCountFrequency (%)
2263 1
 
0.3%
2262 1
 
0.3%
2257 2
0.6%
2256 2
0.6%
2254 4
1.3%
2251 1
 
0.3%
2250 2
0.6%
2249 2
0.6%
2248 1
 
0.3%
2247 1
 
0.3%

사업장명
Text

Distinct294
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-04-06T20:28:16.850451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length7.6163522
Min length4

Characters and Unicode

Total characters2422
Distinct characters258
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

Unique271 ?
Unique (%)85.2%

Sample

1st row(주)크라운제과
2nd row중화초등학교
3rd row북부운수(주)
4th row경성여객(주)급식소
5th row의료법인서울기독병원
ValueCountFrequency (%)
어린이집 22
 
6.0%
구립 5
 
1.4%
단비어린이집 3
 
0.8%
한걸음요양병원 2
 
0.5%
서울특별시 2
 
0.5%
서울의료원 2
 
0.5%
상봉삼성어린이집 2
 
0.5%
신내차량사업소 2
 
0.5%
상봉점 2
 
0.5%
경로식당 2
 
0.5%
Other values (303) 324
88.0%
2024-04-06T20:28:17.767970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 153
 
6.3%
어 146
 
6.0%
린 146
 
6.0%
집 142
 
5.9%
원 94
 
3.9%
학 57
 
2.4%
서 56
 
2.3%
교 52
 
2.1%
50
 
2.1%
울 46
 
1.9%
Other values (248) 1480
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2336
96.4%
Space Separator 50
 
2.1%
Close Punctuation 14
 
0.6%
Open Punctuation 14
 
0.6%
Decimal Number 4
 
0.2%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 153
 
6.5%
어 146
 
6.2%
린 146
 
6.2%
집 142
 
6.1%
원 94
 
4.0%
학 57
 
2.4%
서 56
 
2.4%
교 52
 
2.2%
울 46
 
2.0%
유 41
 
1.8%
Other values (239) 1403
60.1%
Decimal Number
ValueCountFrequency (%)
8 2
50.0%
1 1
25.0%
2 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2336
96.4%
Common 84
 
3.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 153
 
6.5%
어 146
 
6.2%
린 146
 
6.2%
집 142
 
6.1%
원 94
 
4.0%
학 57
 
2.4%
서 56
 
2.4%
교 52
 
2.2%
울 46
 
2.0%
유 41
 
1.8%
Other values (239) 1403
60.1%
Common
ValueCountFrequency (%)
50
59.5%
) 14
 
16.7%
( 14
 
16.7%
8 2
 
2.4%
, 2
 
2.4%
1 1
 
1.2%
2 1
 
1.2%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2336
96.4%
ASCII 86
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 153
 
6.5%
어 146
 
6.2%
린 146
 
6.2%
집 142
 
6.1%
원 94
 
4.0%
학 57
 
2.4%
서 56
 
2.4%
교 52
 
2.2%
울 46
 
2.0%
유 41
 
1.8%
Other values (239) 1403
60.1%
ASCII
ValueCountFrequency (%)
50
58.1%
) 14
 
16.3%
( 14
 
16.3%
8 2
 
2.3%
, 2
 
2.3%
1 1
 
1.2%
2 1
 
1.2%
K 1
 
1.2%
T 1
 
1.2%

최종수정일자
Date

Distinct317
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1999-03-26 00:00:00
Maximum2024-04-03 13:08:46
2024-04-06T20:28:18.021011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:28:18.269077image/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 size2.6 KiB
I
196 
U
122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 196
61.6%
U 122
38.4%

Length

2024-04-06T20:28:18.513842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:18.678830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 196
61.6%
u 122
38.4%

데이터갱신일자
Date

Distinct109
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:28:18.884304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:28:19.130053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct10
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
어린이집
147 
집단급식소
46 
학교
46 
병원
26 
사회복지시설
25 
Other values (5)
28 

Length

Max length8
Median length6
Mean length3.8050314
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row집단급식소
2nd row학교
3rd row산업체
4th row집단급식소
5th row집단급식소

Common Values

ValueCountFrequency (%)
어린이집 147
46.2%
집단급식소 46
 
14.5%
학교 46
 
14.5%
병원 26
 
8.2%
사회복지시설 25
 
7.9%
산업체 14
 
4.4%
공공기관 9
 
2.8%
수련원 3
 
0.9%
기숙사 1
 
0.3%
기타 집단급식소 1
 
0.3%

Length

2024-04-06T20:28:19.372441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:19.566465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 147
46.1%
집단급식소 47
 
14.7%
학교 46
 
14.4%
병원 26
 
8.2%
사회복지시설 25
 
7.8%
산업체 14
 
4.4%
공공기관 9
 
2.8%
수련원 3
 
0.9%
기숙사 1
 
0.3%
기타 1
 
0.3%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct252
Distinct (%)81.3%
Missing8
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean207868.79
Minimum206292.4
Maximum209931.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-06T20:28:19.858474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206292.4
5-th percentile206611.05
Q1207210.99
median207789.77
Q3208459.95
95-th percentile209238.92
Maximum209931.17
Range3638.7766
Interquartile range (IQR)1248.9578

Descriptive statistics

Standard deviation827.44204
Coefficient of variation (CV)0.0039805977
Kurtosis-0.72752562
Mean207868.79
Median Absolute Deviation (MAD)622.13198
Skewness0.23947077
Sum64439326
Variance684660.33
MonotonicityNot monotonic
2024-04-06T20:28:20.077637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208408.995081116 6
 
1.9%
207978.489613092 4
 
1.3%
207266.299851502 3
 
0.9%
208490.019432559 3
 
0.9%
208864.518879894 3
 
0.9%
207406.979861317 3
 
0.9%
208541.000160997 3
 
0.9%
206493.239452371 2
 
0.6%
207390.063948168 2
 
0.6%
208337.552947836 2
 
0.6%
Other values (242) 279
87.7%
(Missing) 8
 
2.5%
ValueCountFrequency (%)
206292.396255485 1
0.3%
206321.919332707 1
0.3%
206329.891285253 1
0.3%
206387.812538324 1
0.3%
206388.120409556 1
0.3%
206432.889406773 1
0.3%
206440.355156282 1
0.3%
206446.201625737 1
0.3%
206482.001826293 1
0.3%
206493.239452371 2
0.6%
ValueCountFrequency (%)
209931.172836 1
0.3%
209897.449568845 1
0.3%
209797.760188391 1
0.3%
209764.817966797 1
0.3%
209579.612349583 1
0.3%
209559.586766292 1
0.3%
209550.64069448 1
0.3%
209542.433688017 2
0.6%
209511.637347013 1
0.3%
209440.492707431 2
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct252
Distinct (%)81.3%
Missing8
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean454990.76
Minimum452245.33
Maximum457702.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-06T20:28:20.343011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452245.33
5-th percentile452757.84
Q1454018
median455024.44
Q3455873.73
95-th percentile457098.9
Maximum457702.63
Range5457.3038
Interquartile range (IQR)1855.7231

Descriptive statistics

Standard deviation1299.5082
Coefficient of variation (CV)0.0028561199
Kurtosis-0.68976637
Mean454990.76
Median Absolute Deviation (MAD)909.90642
Skewness-0.087801451
Sum1.4104714 × 108
Variance1688721.5
MonotonicityNot monotonic
2024-04-06T20:28:20.559904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455768.041569511 6
 
1.9%
455897.218274738 4
 
1.3%
453051.236059145 3
 
0.9%
455252.715739808 3
 
0.9%
456011.793231632 3
 
0.9%
452880.717679349 3
 
0.9%
453774.85575892 3
 
0.9%
454010.419931186 2
 
0.6%
453533.540028211 2
 
0.6%
453856.540378849 2
 
0.6%
Other values (242) 279
87.7%
(Missing) 8
 
2.5%
ValueCountFrequency (%)
452245.327312406 2
0.6%
452287.257663082 1
0.3%
452292.38559521 1
0.3%
452328.401897025 1
0.3%
452331.522951121 2
0.6%
452381.649960899 2
0.6%
452413.155370312 1
0.3%
452440.329215453 1
0.3%
452454.89800934 1
0.3%
452550.177649225 1
0.3%
ValueCountFrequency (%)
457702.631123 1
0.3%
457697.301013 2
0.6%
457446.479605 1
0.3%
457404.517972066 1
0.3%
457306.419496082 1
0.3%
457275.665611135 1
0.3%
457267.54573636 1
0.3%
457267.259039224 1
0.3%
457202.196153839 1
0.3%
457174.958326298 1
0.3%

위생업태명
Categorical

Distinct10
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
어린이집
130 
집단급식소
46 
학교
44 
<NA>
39 
사회복지시설
22 
Other values (5)
37 

Length

Max length6
Median length4
Mean length3.8490566
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row집단급식소
2nd row학교
3rd row산업체
4th row집단급식소
5th row집단급식소

Common Values

ValueCountFrequency (%)
어린이집 130
40.9%
집단급식소 46
 
14.5%
학교 44
 
13.8%
<NA> 39
 
12.3%
사회복지시설 22
 
6.9%
병원 19
 
6.0%
산업체 9
 
2.8%
공공기관 6
 
1.9%
수련원 2
 
0.6%
기숙사 1
 
0.3%

Length

2024-04-06T20:28:20.757135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:20.954491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 130
40.9%
집단급식소 46
 
14.5%
학교 44
 
13.8%
na 39
 
12.3%
사회복지시설 22
 
6.9%
병원 19
 
6.0%
산업체 9
 
2.8%
공공기관 6
 
1.9%
수련원 2
 
0.6%
기숙사 1
 
0.3%

남성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
259 
0
56 
1
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.4433962
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
81.4%
0 56
 
17.6%
1 2
 
0.6%
4 1
 
0.3%

Length

2024-04-06T20:28:21.197721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:21.380672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
81.4%
0 56
 
17.6%
1 2
 
0.6%
4 1
 
0.3%

여성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
259 
0
53 
6
 
3
14
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.4465409
Min length1

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 259
81.4%
0 53
 
16.7%
6 3
 
0.9%
14 1
 
0.3%
4 1
 
0.3%
7 1
 
0.3%

Length

2024-04-06T20:28:21.558837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:21.743039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 259
81.4%
0 53
 
16.7%
6 3
 
0.9%
14 1
 
0.3%
4 1
 
0.3%
7 1
 
0.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
271 
기타
36 
주택가주변
 
7
학교정화(절대)
 
3
아파트지역
 
1

Length

Max length8
Median length4
Mean length3.836478
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 271
85.2%
기타 36
 
11.3%
주택가주변 7
 
2.2%
학교정화(절대) 3
 
0.9%
아파트지역 1
 
0.3%

Length

2024-04-06T20:28:21.954699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:22.121957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 271
85.2%
기타 36
 
11.3%
주택가주변 7
 
2.2%
학교정화(절대 3
 
0.9%
아파트지역 1
 
0.3%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
271 
기타
43 
자율
 
4

Length

Max length4
Median length4
Mean length3.7044025
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 271
85.2%
기타 43
 
13.5%
자율 4
 
1.3%

Length

2024-04-06T20:28:22.309383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:22.474495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 271
85.2%
기타 43
 
13.5%
자율 4
 
1.3%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
상수도전용
219 
<NA>
99 

Length

Max length5
Median length5
Mean length4.6886792
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 219
68.9%
<NA> 99
31.1%

Length

2024-04-06T20:28:22.647657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:22.831541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 219
68.9%
na 99
31.1%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
299 
0
 
19

Length

Max length4
Median length4
Mean length3.8207547
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> 299
94.0%
0 19
 
6.0%

Length

2024-04-06T20:28:23.008088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:23.192391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
94.0%
0 19
 
6.0%

본사종업원수
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
208 
<NA>
107 
2
 
1
1
 
1
6
 
1

Length

Max length4
Median length1
Mean length2.009434
Min length1

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 208
65.4%
<NA> 107
33.6%
2 1
 
0.3%
1 1
 
0.3%
6 1
 
0.3%

Length

2024-04-06T20:28:23.415388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:23.582708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 208
65.4%
na 107
33.6%
2 1
 
0.3%
1 1
 
0.3%
6 1
 
0.3%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
299 
0
 
19

Length

Max length4
Median length4
Mean length3.8207547
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> 299
94.0%
0 19
 
6.0%

Length

2024-04-06T20:28:23.810473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:24.000767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
94.0%
0 19
 
6.0%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
299 
0
 
19

Length

Max length4
Median length4
Mean length3.8207547
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> 299
94.0%
0 19
 
6.0%

Length

2024-04-06T20:28:24.223351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:24.425242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
94.0%
0 19
 
6.0%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
299 
0
 
19

Length

Max length4
Median length4
Mean length3.8207547
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> 299
94.0%
0 19
 
6.0%

Length

2024-04-06T20:28:24.662591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:24.838757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 299
94.0%
0 19
 
6.0%

건물소유구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
293 
자가
 
24
임대
 
1

Length

Max length4
Median length4
Mean length3.8427673
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 293
92.1%
자가 24
 
7.5%
임대 1
 
0.3%

Length

2024-04-06T20:28:25.063910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:25.391767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 293
92.1%
자가 24
 
7.5%
임대 1
 
0.3%

보증액
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
166 
<NA>
152 

Length

Max length4
Median length1
Mean length2.4339623
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 (%)
0 166
52.2%
<NA> 152
47.8%

Length

2024-04-06T20:28:25.782069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:25.976668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 166
52.2%
na 152
47.8%

월세액
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0
166 
<NA>
152 

Length

Max length4
Median length1
Mean length2.4339623
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 (%)
0 166
52.2%
<NA> 152
47.8%

Length

2024-04-06T20:28:26.250719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:28:26.442722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 166
52.2%
na 152
47.8%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing39
Missing (%)12.3%
Memory size768.0 B
False
279 
(Missing)
39 
ValueCountFrequency (%)
False 279
87.7%
(Missing) 39
 
12.3%
2024-04-06T20:28:26.585658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING  ZEROS 

Distinct113
Distinct (%)40.5%
Missing39
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean55.383011
Minimum0
Maximum669.87
Zeros158
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-04-06T20:28:26.782369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q367.65
95-th percentile288.736
Maximum669.87
Range669.87
Interquartile range (IQR)67.65

Descriptive statistics

Standard deviation109.29022
Coefficient of variation (CV)1.9733527
Kurtosis9.0362691
Mean55.383011
Median Absolute Deviation (MAD)0
Skewness2.7900815
Sum15451.86
Variance11944.351
MonotonicityNot monotonic
2024-04-06T20:28:27.036063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 158
49.7%
69.8 2
 
0.6%
69.3 2
 
0.6%
9.9 2
 
0.6%
26.4 2
 
0.6%
19.0 2
 
0.6%
100.0 2
 
0.6%
152.0 2
 
0.6%
19.2 2
 
0.6%
27.0 2
 
0.6%
Other values (103) 103
32.4%
(Missing) 39
 
12.3%
ValueCountFrequency (%)
0.0 158
49.7%
3.66 1
 
0.3%
4.8 1
 
0.3%
5.52 1
 
0.3%
6.6 1
 
0.3%
7.9 1
 
0.3%
8.7 1
 
0.3%
9.5 1
 
0.3%
9.9 2
 
0.6%
11.2 1
 
0.3%
ValueCountFrequency (%)
669.87 1
0.3%
603.04 1
0.3%
598.52 1
0.3%
509.4 1
0.3%
401.12 1
0.3%
391.68 1
0.3%
379.32 1
0.3%
373.99 1
0.3%
365.04 1
0.3%
359.95 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing318
Missing (%)100.0%
Memory size2.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030600003060000-105-1963-0004719630701<NA>3폐업2폐업19990326<NA><NA><NA>02 9730051115.2131852서울특별시 중랑구 묵동 244-20번지<NA><NA>(주)크라운제과1999-03-26 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N401.12<NA><NA><NA>
130600003060000-105-1987-0000719870520<NA>1영업/정상1영업<NA><NA><NA><NA>02 4330214132.95131870서울특별시 중랑구 신내동 531-0번지서울특별시 중랑구 신내로7가길 22 (신내동)2085중화초등학교2017-07-05 13:21:00I2018-08-31 23:59:59.0학교208286.689721455633.916889학교<NA><NA>기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N150.35<NA><NA><NA>
230600003060000-105-1988-0000119880320<NA>1영업/정상1영업<NA><NA><NA><NA>02 491 020535.64131830서울특별시 중랑구 면목동 378-3번지서울특별시 중랑구 면목로 230 (면목동)2254북부운수(주)2017-07-07 10:02:11I2018-08-31 23:59:59.0산업체207426.559556452328.401897산업체00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N128.6<NA><NA><NA>
330600003060000-105-1988-0000219880320<NA>3폐업2폐업20100511<NA><NA><NA>02 435515726.93131812서울특별시 중랑구 면목동 81-3번지<NA><NA>경성여객(주)급식소2002-07-09 00:00:00I2018-08-31 23:59:59.0집단급식소208364.928707453666.483563집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N62.29<NA><NA><NA>
430600003060000-105-1988-0000319880320<NA>3폐업2폐업20030922<NA><NA><NA>02268.6131831서울특별시 중랑구 면목동 568-1번지<NA><NA>의료법인서울기독병원2016-08-26 09:33:15I2018-08-31 23:59:59.0집단급식소207545.431398453474.58008집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N391.68<NA><NA><NA>
530600003060000-105-1988-0000419880320<NA>1영업/정상1영업<NA><NA><NA><NA>02 437501127.6131802서울특별시 중랑구 망우동 128-29번지서울특별시 중랑구 망우로 511 (망우동)2063동부제일병원2017-07-07 10:01:47I2018-08-31 23:59:59.0병원209579.61235455387.996893병원00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N88.49<NA><NA><NA>
630600003060000-105-1988-0000519880320<NA>1영업/정상1영업<NA><NA><NA><NA>02 496777411.88131860서울특별시 중랑구 상봉동 108-2번지서울특별시 중랑구 면목로 473 (상봉동)2138메디앙병원2017-07-07 10:03:12I2018-08-31 23:59:59.0병원207506.24855454647.912047병원00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N69.82<NA><NA><NA>
730600003060000-105-1988-0000619880516<NA>1영업/정상1영업<NA><NA><NA><NA>02 2094299797.7131873서울특별시 중랑구 신내동 662-0번지서울특별시 중랑구 봉화산로 179 (신내동)2043중랑구청구내식당2017-04-25 10:20:31I2018-08-31 23:59:59.0공공기관208134.235749456037.086226공공기관00아파트지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N603.04<NA><NA><NA>
830600003060000-105-1990-0004919900316<NA>3폐업2폐업19980112<NA><NA><NA>02 433008122.54131858서울특별시 중랑구 상봉동 81-3번지<NA><NA>삼표산업(주)망우공장2001-10-04 00:00:00I2018-08-31 23:59:59.0집단급식소<NA><NA>집단급식소00기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N95.55<NA><NA><NA>
930600003060000-105-1992-0005019920501<NA>3폐업2폐업19990406<NA><NA><NA>02 433050180.27131872서울특별시 중랑구 신내동 651-0번지<NA><NA>금성초등학고1999-04-06 00:00:00I2018-08-31 23:59:59.0집단급식소207845.049527456974.751062집단급식소<NA><NA>기타기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N132.65<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
30830600003060000-105-2022-0000220220203<NA>1영업/정상1영업<NA><NA><NA><NA><NA>26.4131140서울특별시 중랑구 묵동 396 이편한세상 화랑대서울특별시 중랑구 숙선옹주로 45, 108동 (묵동, 이편한세상 화랑대)2030화랑어린이집2022-02-03 17:09:32I2022-02-05 00:22:38.0어린이집207229.602421457098.850403어린이집00<NA><NA><NA>00000<NA>00N26.4<NA><NA><NA>
30930600003060000-105-2022-0000320220214<NA>1영업/정상1영업<NA><NA><NA><NA><NA>27.0131200서울특별시 중랑구 면목동 1537 용마산 하늘채서울특별시 중랑구 용마산로 210, 102동 (면목동, 용마산 하늘채)2256하늘채어린이집2022-02-14 16:11:22I2022-02-16 00:22:49.0어린이집207619.527444452245.327312어린이집00<NA><NA><NA>00000<NA>00N27.0<NA><NA><NA>
31030600003060000-105-2022-0000420220303<NA>1영업/정상1영업<NA><NA><NA><NA>02 433970216.84131230서울특별시 중랑구 망우동 0 엘에이치 엘스타시온서울특별시 중랑구 양원역로10길 47 (망우동, 엘에이치 엘스타시온)2057엘스타시온 어린이집2022-06-07 10:22:48U2021-12-06 00:09:00.0어린이집<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31130600003060000-105-2022-0000520220303<NA>1영업/정상1영업<NA><NA><NA><NA>02 4939701664.0131230서울특별시 중랑구 망우동 0 서울양원숲초등학교서울특별시 중랑구 양원역로 95, 서울양원숲초등학교 1층 (망우동)2057서울양원숲초등학교2022-03-07 09:11:49U2022-03-10 02:40:00.0학교<NA><NA>학교00<NA><NA><NA>06000<NA>00N259.0<NA><NA><NA>
31230600003060000-105-2022-0000620220315<NA>1영업/정상1영업<NA><NA><NA><NA><NA>12.12131230서울특별시 중랑구 망우동 0 양원 금호어울림 포레스트서울특별시 중랑구 양원역로10길 75 (망우동, 양원 금호어울림 포레스트)2057금호어울림어린이집2022-03-15 14:53:40I2022-03-17 00:22:35.0어린이집<NA><NA>어린이집00<NA><NA><NA>00000<NA>00N12.12<NA><NA><NA>
31330600003060000-105-2022-0000720220318<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0131200서울특별시 중랑구 면목동 1545 사가정 센트럴 아이파크서울특별시 중랑구 동일로92길 40, 1층 (면목동, 사가정 센트럴 아이파크)2225사가정아이파크 어린이집2022-03-18 16:43:46I2022-03-20 00:22:35.0어린이집207188.590618453452.726056어린이집00<NA><NA><NA>00000<NA>00N15.0<NA><NA><NA>
31430600003060000-105-2022-0000820220518<NA>1영업/정상1영업<NA><NA><NA><NA><NA>22.99131230서울특별시 중랑구 망우동 0 LH서울양원1단지서울특별시 중랑구 양원역로 92, 1층 (망우동, LH서울양원1단지)2057구립 행복어린이집2022-05-18 10:10:01I2021-12-04 22:00:00.0어린이집209287.438221456236.055662<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31530600003060000-105-2022-0000920220825<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0131823서울특별시 중랑구 면목동 183-119 색동유치원서울특별시 중랑구 동일로109길 31, 색동유치원 (면목동)2129색동유치원2022-08-25 15:35:00I2021-12-07 22:07:00.0공공기관206858.376422454369.960773<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31630600003060000-105-2022-000102022-10-11<NA>3폐업2폐업2024-03-04<NA><NA><NA><NA>187.27131-803서울특별시 중랑구 망우동 340-1서울특별시 중랑구 망우로 455, 8층 (망우동)2060정암기독학교2024-03-04 15:57:13U2023-12-03 00:06:00.0기타 집단급식소209006.753434455382.097686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31730600003060000-105-2023-000012023-02-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>80.05131-808서울특별시 중랑구 망우동 460-1 연세산돌병원서울특별시 중랑구 봉우재로 234, 연세산돌병원 7층 (망우동)2173연세산돌병원2023-02-16 13:42:25I2022-12-01 23:08:00.0병원208664.152112454762.013502<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>