Overview

Dataset statistics

Number of variables44
Number of observations42
Missing cells446
Missing cells (%)24.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory381.1 B

Variable types

Categorical21
Text6
DateTime3
Unsupported9
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-18208/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (54.6%)Imbalance
여성종사자수 is highly imbalanced (54.6%)Imbalance
급수시설구분명 is highly imbalanced (54.6%)Imbalance
총인원 is highly imbalanced (54.6%)Imbalance
시설총규모 is highly imbalanced (52.0%)Imbalance
인허가취소일자 has 42 (100.0%) missing valuesMissing
폐업일자 has 11 (26.2%) missing valuesMissing
휴업시작일자 has 42 (100.0%) missing valuesMissing
휴업종료일자 has 42 (100.0%) missing valuesMissing
재개업일자 has 42 (100.0%) missing valuesMissing
전화번호 has 14 (33.3%) missing valuesMissing
소재지면적 has 13 (31.0%) missing valuesMissing
도로명주소 has 11 (26.2%) missing valuesMissing
도로명우편번호 has 12 (28.6%) missing valuesMissing
영업장주변구분명 has 42 (100.0%) missing valuesMissing
등급구분명 has 42 (100.0%) missing valuesMissing
다중이용업소여부 has 7 (16.7%) missing valuesMissing
전통업소지정번호 has 42 (100.0%) missing valuesMissing
전통업소주된음식 has 42 (100.0%) missing valuesMissing
홈페이지 has 42 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 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 1 (2.4%) zerosZeros

Reproduction

Analysis started2024-04-29 19:39:11.919807
Analysis finished2024-04-29 19:39:12.633322
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
3060000
42 

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 42
100.0%

Length

2024-04-30T04:39:12.690863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:12.764472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 42
100.0%

관리번호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-30T04:39:12.898527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters924
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

Unique42 ?
Unique (%)100.0%

Sample

1st row3060000-117-2003-00001
2nd row3060000-117-2004-00001
3rd row3060000-117-2005-00001
4th row3060000-117-2005-00002
5th row3060000-117-2006-00001
ValueCountFrequency (%)
3060000-117-2003-00001 1
 
2.4%
3060000-117-2013-00001 1
 
2.4%
3060000-117-2023-00003 1
 
2.4%
3060000-117-2011-00004 1
 
2.4%
3060000-117-2011-00005 1
 
2.4%
3060000-117-2012-00001 1
 
2.4%
3060000-117-2012-00002 1
 
2.4%
3060000-117-2012-00003 1
 
2.4%
3060000-117-2012-00004 1
 
2.4%
3060000-117-2012-00005 1
 
2.4%
Other values (32) 32
76.2%
2024-04-30T04:39:13.177041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 441
47.7%
- 126
 
13.6%
1 126
 
13.6%
2 65
 
7.0%
3 54
 
5.8%
6 50
 
5.4%
7 44
 
4.8%
5 7
 
0.8%
4 5
 
0.5%
8 3
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 798
86.4%
Dash Punctuation 126
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 441
55.3%
1 126
 
15.8%
2 65
 
8.1%
3 54
 
6.8%
6 50
 
6.3%
7 44
 
5.5%
5 7
 
0.9%
4 5
 
0.6%
8 3
 
0.4%
9 3
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 441
47.7%
- 126
 
13.6%
1 126
 
13.6%
2 65
 
7.0%
3 54
 
5.8%
6 50
 
5.4%
7 44
 
4.8%
5 7
 
0.8%
4 5
 
0.5%
8 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 441
47.7%
- 126
 
13.6%
1 126
 
13.6%
2 65
 
7.0%
3 54
 
5.8%
6 50
 
5.4%
7 44
 
4.8%
5 7
 
0.8%
4 5
 
0.5%
8 3
 
0.3%

인허가일자
Date

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2003-06-23 00:00:00
Maximum2023-11-16 00:00:00
2024-04-30T04:39:13.296423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:13.409748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
3
31 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
73.8%
1 11
 
26.2%

Length

2024-04-30T04:39:13.513576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:13.599006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
73.8%
1 11
 
26.2%

영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
31 
영업/정상
11 

Length

Max length5
Median length2
Mean length2.7857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
73.8%
영업/정상 11
 
26.2%

Length

2024-04-30T04:39:13.693065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:13.790447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
73.8%
영업/정상 11
 
26.2%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
2
31 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 31
73.8%
1 11
 
26.2%

Length

2024-04-30T04:39:13.878771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:13.958054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 31
73.8%
1 11
 
26.2%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
폐업
31 
영업
11 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
73.8%
영업 11
 
26.2%

Length

2024-04-30T04:39:14.045625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:14.129833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
73.8%
영업 11
 
26.2%

폐업일자
Date

MISSING 

Distinct29
Distinct (%)93.5%
Missing11
Missing (%)26.2%
Memory size468.0 B
Minimum2004-08-05 00:00:00
Maximum2023-02-16 00:00:00
2024-04-30T04:39:14.205348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:14.299353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전화번호
Text

MISSING 

Distinct26
Distinct (%)92.9%
Missing14
Missing (%)33.3%
Memory size468.0 B
2024-04-30T04:39:14.439312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length11.071429
Min length10

Characters and Unicode

Total characters310
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 (%)85.7%

Sample

1st row02 9739944
2nd row02 4334447
3rd row02 4360658
4th row02 4360658
5th row02 9746100
ValueCountFrequency (%)
02 23
37.1%
031 2
 
3.2%
34231454 2
 
3.2%
4360658 2
 
3.2%
242 1
 
1.6%
051 1
 
1.6%
0222143925 1
 
1.6%
4361211 1
 
1.6%
5216401 1
 
1.6%
9942126 1
 
1.6%
Other values (27) 27
43.5%
2024-04-30T04:39:14.724622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
16.5%
2 47
15.2%
46
14.8%
4 34
11.0%
3 28
9.0%
1 23
7.4%
5 22
7.1%
6 18
 
5.8%
8 17
 
5.5%
9 13
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 264
85.2%
Space Separator 46
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
19.3%
2 47
17.8%
4 34
12.9%
3 28
10.6%
1 23
8.7%
5 22
8.3%
6 18
 
6.8%
8 17
 
6.4%
9 13
 
4.9%
7 11
 
4.2%
Space Separator
ValueCountFrequency (%)
46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
16.5%
2 47
15.2%
46
14.8%
4 34
11.0%
3 28
9.0%
1 23
7.4%
5 22
7.1%
6 18
 
5.8%
8 17
 
5.5%
9 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
16.5%
2 47
15.2%
46
14.8%
4 34
11.0%
3 28
9.0%
1 23
7.4%
5 22
7.1%
6 18
 
5.8%
8 17
 
5.5%
9 13
 
4.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)79.3%
Missing13
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean45.983103
Minimum0
Maximum299.87
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-30T04:39:14.849463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.96
Q116.5
median20
Q353
95-th percentile155.064
Maximum299.87
Range299.87
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation61.801525
Coefficient of variation (CV)1.3440051
Kurtosis10.428854
Mean45.983103
Median Absolute Deviation (MAD)10
Skewness3.045912
Sum1333.51
Variance3819.4285
MonotonicityNot monotonic
2024-04-30T04:39:14.959283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
16.0 3
 
7.1%
16.5 3
 
7.1%
18.55 2
 
4.8%
20.0 2
 
4.8%
182.28 1
 
2.4%
15.0 1
 
2.4%
0.0 1
 
2.4%
30.0 1
 
2.4%
10.0 1
 
2.4%
48.75 1
 
2.4%
Other values (13) 13
31.0%
(Missing) 13
31.0%
ValueCountFrequency (%)
0.0 1
 
2.4%
6.6 1
 
2.4%
10.0 1
 
2.4%
15.0 1
 
2.4%
16.0 3
7.1%
16.5 3
7.1%
16.52 1
 
2.4%
17.95 1
 
2.4%
18.55 2
4.8%
20.0 2
4.8%
ValueCountFrequency (%)
299.87 1
2.4%
182.28 1
2.4%
114.24 1
2.4%
79.06 1
2.4%
71.78 1
2.4%
66.0 1
2.4%
59.4 1
2.4%
53.0 1
2.4%
48.75 1
2.4%
33.0 1
2.4%

소재지우편번호
Text

Distinct26
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-30T04:39:15.099240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1190476
Min length6

Characters and Unicode

Total characters257
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

Unique17 ?
Unique (%)40.5%

Sample

1st row131878
2nd row131853
3rd row131872
4th row131855
5th row131814
ValueCountFrequency (%)
131140 5
 
11.9%
131872 3
 
7.1%
131822 3
 
7.1%
131865 3
 
7.1%
131861 3
 
7.1%
131814 2
 
4.8%
131857 2
 
4.8%
131848 2
 
4.8%
131800 2
 
4.8%
131-801 1
 
2.4%
Other values (16) 16
38.1%
2024-04-30T04:39:15.367305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 100
38.9%
3 45
17.5%
8 41
16.0%
0 13
 
5.1%
2 13
 
5.1%
4 11
 
4.3%
6 10
 
3.9%
5 10
 
3.9%
7 8
 
3.1%
- 5
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
98.1%
Dash Punctuation 5
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 100
39.7%
3 45
17.9%
8 41
16.3%
0 13
 
5.2%
2 13
 
5.2%
4 11
 
4.4%
6 10
 
4.0%
5 10
 
4.0%
7 8
 
3.2%
9 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 257
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 100
38.9%
3 45
17.5%
8 41
16.0%
0 13
 
5.1%
2 13
 
5.1%
4 11
 
4.3%
6 10
 
3.9%
5 10
 
3.9%
7 8
 
3.1%
- 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 100
38.9%
3 45
17.5%
8 41
16.0%
0 13
 
5.1%
2 13
 
5.1%
4 11
 
4.3%
6 10
 
3.9%
5 10
 
3.9%
7 8
 
3.1%
- 5
 
1.9%

지번주소
Text

Distinct29
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-30T04:39:15.511775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length24.166667
Min length19

Characters and Unicode

Total characters1015
Distinct characters58
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

Unique21 ?
Unique (%)50.0%

Sample

1st row서울특별시 중랑구 중화동 ***-**번지 (대륙주차장)
2nd row서울특별시 중랑구 묵동 ***-**번지
3rd row서울특별시 중랑구 신내동 ***번지 금강리스빙 *층 ***
4th row서울특별시 중랑구 묵동 ***번지 세방아파트상가 ***호
5th row서울특별시 중랑구 면목동 ***-*번지 *층
ValueCountFrequency (%)
서울특별시 42
21.3%
중랑구 42
21.3%
번지 29
14.7%
15
 
7.6%
면목동 11
 
5.6%
묵동 11
 
5.6%
층 9
 
4.6%
신내동 9
 
4.6%
상봉동 6
 
3.0%
호 5
 
2.5%
Other values (14) 18
9.1%
2024-04-30T04:39:15.767706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 215
21.2%
188
18.5%
동 45
 
4.4%
중 43
 
4.2%
구 42
 
4.1%
랑 42
 
4.1%
서 42
 
4.1%
시 42
 
4.1%
특 42
 
4.1%
별 42
 
4.1%
Other values (48) 272
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 571
56.3%
Other Punctuation 215
 
21.2%
Space Separator 188
 
18.5%
Dash Punctuation 37
 
3.6%
Uppercase Letter 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
 
7.9%
중 43
 
7.5%
구 42
 
7.4%
랑 42
 
7.4%
서 42
 
7.4%
시 42
 
7.4%
특 42
 
7.4%
별 42
 
7.4%
울 42
 
7.4%
지 32
 
5.6%
Other values (42) 157
27.5%
Other Punctuation
ValueCountFrequency (%)
* 215
100.0%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 571
56.3%
Common 442
43.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
 
7.9%
중 43
 
7.5%
구 42
 
7.4%
랑 42
 
7.4%
서 42
 
7.4%
시 42
 
7.4%
특 42
 
7.4%
별 42
 
7.4%
울 42
 
7.4%
지 32
 
5.6%
Other values (42) 157
27.5%
Common
ValueCountFrequency (%)
* 215
48.6%
188
42.5%
- 37
 
8.4%
) 1
 
0.2%
( 1
 
0.2%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 571
56.3%
ASCII 444
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 215
48.4%
188
42.3%
- 37
 
8.3%
B 2
 
0.5%
) 1
 
0.2%
( 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 45
 
7.9%
중 43
 
7.5%
구 42
 
7.4%
랑 42
 
7.4%
서 42
 
7.4%
시 42
 
7.4%
특 42
 
7.4%
별 42
 
7.4%
울 42
 
7.4%
지 32
 
5.6%
Other values (42) 157
27.5%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing11
Missing (%)26.2%
Memory size468.0 B
2024-04-30T04:39:15.954397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length31.032258
Min length21

Characters and Unicode

Total characters962
Distinct characters65
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

Unique29 ?
Unique (%)93.5%

Sample

1st row서울특별시 중랑구 중랑천로 *** (묵동)
2nd row서울특별시 중랑구 동일로***가길 * (묵동)
3rd row서울특별시 중랑구 중랑역로 *** (묵동,*층)
4th row서울특별시 중랑구 공릉로 ** (묵동)
5th row서울특별시 중랑구 공릉로 ** (묵동,*층)
ValueCountFrequency (%)
34
18.0%
서울특별시 31
16.4%
중랑구 31
16.4%
층 12
 
6.3%
호 8
 
4.2%
묵동 6
 
3.2%
면목동 6
 
3.2%
신내동 5
 
2.6%
상봉동 5
 
2.6%
공릉로 4
 
2.1%
Other values (35) 47
24.9%
2024-04-30T04:39:16.261782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 174
18.1%
158
16.4%
동 40
 
4.2%
중 34
 
3.5%
랑 34
 
3.5%
, 32
 
3.3%
서 31
 
3.2%
로 31
 
3.2%
( 31
 
3.2%
울 31
 
3.2%
Other values (55) 366
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
54.8%
Other Punctuation 206
 
21.4%
Space Separator 158
 
16.4%
Open Punctuation 31
 
3.2%
Close Punctuation 31
 
3.2%
Dash Punctuation 7
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
7.6%
중 34
 
6.5%
랑 34
 
6.5%
서 31
 
5.9%
로 31
 
5.9%
울 31
 
5.9%
구 31
 
5.9%
시 31
 
5.9%
별 31
 
5.9%
특 31
 
5.9%
Other values (48) 202
38.3%
Other Punctuation
ValueCountFrequency (%)
* 174
84.5%
, 32
 
15.5%
Space Separator
ValueCountFrequency (%)
158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
54.8%
Common 433
45.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
7.6%
중 34
 
6.5%
랑 34
 
6.5%
서 31
 
5.9%
로 31
 
5.9%
울 31
 
5.9%
구 31
 
5.9%
시 31
 
5.9%
별 31
 
5.9%
특 31
 
5.9%
Other values (48) 202
38.3%
Common
ValueCountFrequency (%)
* 174
40.2%
158
36.5%
, 32
 
7.4%
( 31
 
7.2%
) 31
 
7.2%
- 7
 
1.6%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
54.8%
ASCII 435
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 174
40.0%
158
36.3%
, 32
 
7.4%
( 31
 
7.1%
) 31
 
7.1%
- 7
 
1.6%
B 2
 
0.5%
Hangul
ValueCountFrequency (%)
동 40
 
7.6%
중 34
 
6.5%
랑 34
 
6.5%
서 31
 
5.9%
로 31
 
5.9%
울 31
 
5.9%
구 31
 
5.9%
시 31
 
5.9%
별 31
 
5.9%
특 31
 
5.9%
Other values (48) 202
38.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)73.3%
Missing12
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2087.5333
Minimum2001
Maximum2233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-30T04:39:16.366995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2018
Q12019.5
median2068
Q32140
95-th percentile2206.95
Maximum2233
Range232
Interquartile range (IQR)120.5

Descriptive statistics

Standard deviation69.013109
Coefficient of variation (CV)0.033059644
Kurtosis-0.83136299
Mean2087.5333
Median Absolute Deviation (MAD)50
Skewness0.61365557
Sum62626
Variance4762.8092
MonotonicityNot monotonic
2024-04-30T04:39:16.470870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2018 7
16.7%
2052 2
 
4.8%
2147 2
 
4.8%
2086 1
 
2.4%
2096 1
 
2.4%
2067 1
 
2.4%
2069 1
 
2.4%
2186 1
 
2.4%
2122 1
 
2.4%
2125 1
 
2.4%
Other values (12) 12
28.6%
(Missing) 12
28.6%
ValueCountFrequency (%)
2001 1
 
2.4%
2018 7
16.7%
2024 1
 
2.4%
2028 1
 
2.4%
2045 1
 
2.4%
2052 2
 
4.8%
2058 1
 
2.4%
2067 1
 
2.4%
2069 1
 
2.4%
2086 1
 
2.4%
ValueCountFrequency (%)
2233 1
2.4%
2211 1
2.4%
2202 1
2.4%
2187 1
2.4%
2186 1
2.4%
2147 2
4.8%
2145 1
2.4%
2125 1
2.4%
2122 1
2.4%
2119 1
2.4%

사업장명
Text

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-04-30T04:39:16.655907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.2857143
Min length2

Characters and Unicode

Total characters306
Distinct characters106
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

Unique40 ?
Unique (%)95.2%

Sample

1st row개별화물
2nd row사랑운수
3rd row개별용달
4th row하이푸드
5th row영은유통
ValueCountFrequency (%)
영은유통 2
 
4.3%
삼성유기급식사업단 2
 
4.3%
화물용달 1
 
2.1%
농업회사법인(주)대한 1
 
2.1%
남양주축협가공센타 1
 
2.1%
서울분사 1
 
2.1%
상일푸드시스템주식회사 1
 
2.1%
우리푸드시스템 1
 
2.1%
순수본 1
 
2.1%
농가아삭김치서울영업소 1
 
2.1%
Other values (35) 35
74.5%
2024-04-30T04:39:16.986926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 17
 
5.6%
( 15
 
4.9%
) 15
 
4.9%
스 11
 
3.6%
드 10
 
3.3%
사 10
 
3.3%
푸 9
 
2.9%
농 8
 
2.6%
업 7
 
2.3%
인 6
 
2.0%
Other values (96) 198
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 269
87.9%
Open Punctuation 15
 
4.9%
Close Punctuation 15
 
4.9%
Space Separator 5
 
1.6%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
6.3%
스 11
 
4.1%
드 10
 
3.7%
사 10
 
3.7%
푸 9
 
3.3%
농 8
 
3.0%
업 7
 
2.6%
인 6
 
2.2%
유 6
 
2.2%
회 6
 
2.2%
Other values (91) 179
66.5%
Uppercase Letter
ValueCountFrequency (%)
Y 1
50.0%
H 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 269
87.9%
Common 35
 
11.4%
Latin 2
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
6.3%
스 11
 
4.1%
드 10
 
3.7%
사 10
 
3.7%
푸 9
 
3.3%
농 8
 
3.0%
업 7
 
2.6%
인 6
 
2.2%
유 6
 
2.2%
회 6
 
2.2%
Other values (91) 179
66.5%
Common
ValueCountFrequency (%)
( 15
42.9%
) 15
42.9%
5
 
14.3%
Latin
ValueCountFrequency (%)
Y 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 269
87.9%
ASCII 37
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 17
 
6.3%
스 11
 
4.1%
드 10
 
3.7%
사 10
 
3.7%
푸 9
 
3.3%
농 8
 
3.0%
업 7
 
2.6%
인 6
 
2.2%
유 6
 
2.2%
회 6
 
2.2%
Other values (91) 179
66.5%
ASCII
ValueCountFrequency (%)
( 15
40.5%
) 15
40.5%
5
 
13.5%
Y 1
 
2.7%
H 1
 
2.7%

최종수정일자
Date

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2003-06-23 00:00:00
Maximum2023-11-16 15:32:22
2024-04-30T04:39:17.098995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:17.224499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
I
30 
U
12 

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 30
71.4%
U 12
 
28.6%

Length

2024-04-30T04:39:17.340914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:17.424979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 30
71.4%
u 12
 
28.6%

데이터갱신일자
Categorical

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
2018-08-31 23:59:59.0
25 
2022-02-24 02:40:00.0
 
2
2018-12-12 02:40:00.0
 
2
2018-12-21 02:40:00.0
 
1
2019-05-11 02:40:00.0
 
1
Other values (11)
11 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique13 ?
Unique (%)31.0%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 25
59.5%
2022-02-24 02:40:00.0 2
 
4.8%
2018-12-12 02:40:00.0 2
 
4.8%
2018-12-21 02:40:00.0 1
 
2.4%
2019-05-11 02:40:00.0 1
 
2.4%
2021-05-01 02:40:00.0 1
 
2.4%
2020-11-18 02:40:00.0 1
 
2.4%
2021-07-16 02:40:00.0 1
 
2.4%
2021-12-04 22:01:00.0 1
 
2.4%
2022-12-01 23:08:00.0 1
 
2.4%
Other values (6) 6
 
14.3%

Length

2024-04-30T04:39:17.505658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 25
29.8%
23:59:59.0 25
29.8%
02:40:00.0 9
 
10.7%
23:08:00.0 3
 
3.6%
2022-02-24 2
 
2.4%
2018-12-12 2
 
2.4%
23:01:00.0 2
 
2.4%
2022-12-01 2
 
2.4%
2021-09-03 1
 
1.2%
2022-12-05 1
 
1.2%
Other values (12) 12
14.3%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
식품운반업
42 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품운반업 42
100.0%

Length

2024-04-30T04:39:17.603287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:17.678476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품운반업 42
100.0%

좌표정보(X)
Real number (ℝ)

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207603.79
Minimum206266.6
Maximum209537.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-30T04:39:17.758043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206266.6
5-th percentile206461.33
Q1206854.79
median207367.2
Q3208282.81
95-th percentile209180.04
Maximum209537.11
Range3270.5049
Interquartile range (IQR)1428.0212

Descriptive statistics

Standard deviation943.54852
Coefficient of variation (CV)0.0045449484
Kurtosis-1.0817176
Mean207603.79
Median Absolute Deviation (MAD)667.66356
Skewness0.45342167
Sum8719359.2
Variance890283.8
MonotonicityNot monotonic
2024-04-30T04:39:18.131369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
206854.785745041 2
 
4.8%
207996.448996415 2
 
4.8%
206901.742619683 2
 
4.8%
206661.121885737 2
 
4.8%
206895.589906089 2
 
4.8%
208446.504307378 1
 
2.4%
208539.927056388 1
 
2.4%
208976.27691195 1
 
2.4%
206787.260836106 1
 
2.4%
206653.942311847 1
 
2.4%
Other values (27) 27
64.3%
ValueCountFrequency (%)
206266.603701754 1
2.4%
206290.445840268 1
2.4%
206459.711379355 1
2.4%
206492.087474895 1
2.4%
206653.942311847 1
2.4%
206661.121885737 2
4.8%
206756.119639205 1
2.4%
206768.568884273 1
2.4%
206787.260836106 1
2.4%
206854.785745041 2
4.8%
ValueCountFrequency (%)
209537.108569721 1
2.4%
209274.833235856 1
2.4%
209185.534627128 1
2.4%
209075.551726914 1
2.4%
208976.27691195 1
2.4%
208889.864990793 1
2.4%
208802.675026171 1
2.4%
208801.70609736 1
2.4%
208539.927056388 1
2.4%
208446.504307378 1
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct37
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455586.51
Minimum453342.72
Maximum457428.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-30T04:39:18.237746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453342.72
5-th percentile453601.23
Q1454203.21
median455873.15
Q3457123.75
95-th percentile457250.7
Maximum457428.66
Range4085.9421
Interquartile range (IQR)2920.5437

Descriptive statistics

Standard deviation1429.1398
Coefficient of variation (CV)0.0031369229
Kurtosis-1.6426399
Mean455586.51
Median Absolute Deviation (MAD)1310.367
Skewness-0.11762893
Sum19134633
Variance2042440.5
MonotonicityNot monotonic
2024-04-30T04:39:18.363733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
457127.125369398 2
 
4.8%
453673.742731222 2
 
4.8%
457236.317706626 2
 
4.8%
453601.225753212 2
 
4.8%
457251.238972021 2
 
4.8%
456048.562552443 1
 
2.4%
455867.756374592 1
 
2.4%
454591.448788768 1
 
2.4%
454645.570410455 1
 
2.4%
454351.00230508 1
 
2.4%
Other values (27) 27
64.3%
ValueCountFrequency (%)
453342.721236556 1
2.4%
453566.849429818 1
2.4%
453601.225753212 2
4.8%
453673.742731222 2
4.8%
453945.498099057 1
2.4%
453956.608125762 1
2.4%
454067.82742526 1
2.4%
454115.85416405 1
2.4%
454153.945845434 1
2.4%
454351.00230508 1
2.4%
ValueCountFrequency (%)
457428.663314438 1
2.4%
457251.238972021 2
4.8%
457240.390322006 1
2.4%
457236.317706626 2
4.8%
457183.637796144 1
2.4%
457183.395438418 1
2.4%
457156.039550731 1
2.4%
457127.125369398 2
4.8%
457113.638411288 1
2.4%
457012.96600598 1
2.4%

위생업태명
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
식품운반업
35 
<NA>
7 

Length

Max length5
Median length5
Mean length4.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품운반업 35
83.3%
<NA> 7
 
16.7%

Length

2024-04-30T04:39:18.484218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:18.573914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품운반업 35
83.3%
na 7
 
16.7%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
38 
0
4 

Length

Max length4
Median length4
Mean length3.7142857
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> 38
90.5%
0 4
 
9.5%

Length

2024-04-30T04:39:18.676112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:18.764169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
90.5%
0 4
 
9.5%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
38 
0
4 

Length

Max length4
Median length4
Mean length3.7142857
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> 38
90.5%
0 4
 
9.5%

Length

2024-04-30T04:39:18.857353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:18.952790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
90.5%
0 4
 
9.5%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
38 
상수도전용
4 

Length

Max length5
Median length4
Mean length4.0952381
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
90.5%
상수도전용 4
 
9.5%

Length

2024-04-30T04:39:19.040929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:19.141346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
90.5%
상수도전용 4
 
9.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
38 
0
4 

Length

Max length4
Median length4
Mean length3.7142857
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> 38
90.5%
0 4
 
9.5%

Length

2024-04-30T04:39:19.237071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:19.337407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
90.5%
0 4
 
9.5%

본사종업원수
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
22 
0
20 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
52.4%
0 20
47.6%

Length

2024-04-30T04:39:19.445957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:19.539371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
52.4%
0 20
47.6%

공장사무직종업원수
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
21 
0
20 
1
 
1

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
50.0%
0 20
47.6%
1 1
 
2.4%

Length

2024-04-30T04:39:19.633694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:19.722220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
50.0%
0 20
47.6%
1 1
 
2.4%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
22 
0
20 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
52.4%
0 20
47.6%

Length

2024-04-30T04:39:19.813483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:19.916155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
52.4%
0 20
47.6%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
22 
0
20 

Length

Max length4
Median length4
Mean length2.5714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
52.4%
0 20
47.6%

Length

2024-04-30T04:39:20.014442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:20.100401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
52.4%
0 20
47.6%

건물소유구분명
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
임대
21 
<NA>
15 
자가
6 

Length

Max length4
Median length2
Mean length2.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임대 21
50.0%
<NA> 15
35.7%
자가 6
 
14.3%

Length

2024-04-30T04:39:20.211401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:20.303044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대 21
50.0%
na 15
35.7%
자가 6
 
14.3%

보증액
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
30 
0
12 

Length

Max length4
Median length4
Mean length3.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
71.4%
0 12
 
28.6%

Length

2024-04-30T04:39:20.413779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:20.517310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
71.4%
0 12
 
28.6%

월세액
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
<NA>
30 
0
12 

Length

Max length4
Median length4
Mean length3.1428571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
71.4%
0 12
 
28.6%

Length

2024-04-30T04:39:20.621309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:20.743808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
71.4%
0 12
 
28.6%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)2.9%
Missing7
Missing (%)16.7%
Memory size216.0 B
False
35 
(Missing)
7 
ValueCountFrequency (%)
False 35
83.3%
(Missing) 7
 
16.7%
2024-04-30T04:39:20.819209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
0.0
32 
<NA>
7 
299.87
 
1
20.0
 
1
30.0
 
1

Length

Max length6
Median length3
Mean length3.2857143
Min length3

Unique

Unique3 ?
Unique (%)7.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 32
76.2%
<NA> 7
 
16.7%
299.87 1
 
2.4%
20.0 1
 
2.4%
30.0 1
 
2.4%

Length

2024-04-30T04:39:20.910636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:21.008197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 32
76.2%
na 7
 
16.7%
299.87 1
 
2.4%
20.0 1
 
2.4%
30.0 1
 
2.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)100.0%
Memory size510.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030600003060000-117-2003-0000120030623<NA>3폐업2폐업20040805<NA><NA><NA><NA><NA>131878서울특별시 중랑구 중화동 ***-**번지 (대륙주차장)<NA><NA>개별화물2003-06-23 00:00:00I2018-08-31 23:59:59.0식품운반업206290.44584454727.737335식품운반업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
130600003060000-117-2004-0000120040909<NA>3폐업2폐업20050809<NA><NA><NA>02 9739944<NA>131853서울특별시 중랑구 묵동 ***-**번지<NA><NA>사랑운수2005-08-17 00:00:00I2018-08-31 23:59:59.0식품운반업206756.119639456184.929131식품운반업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230600003060000-117-2005-0000120050523<NA>3폐업2폐업20070528<NA><NA><NA>02 4334447<NA>131872서울특별시 중랑구 신내동 ***번지 금강리스빙 *층 ***<NA><NA>개별용달2005-08-17 00:00:00I2018-08-31 23:59:59.0식품운반업208112.860201457113.638411식품운반업<NA><NA><NA><NA>상수도전용<NA>0000임대00N0.0<NA><NA><NA>
330600003060000-117-2005-0000220050616<NA>3폐업2폐업20070212<NA><NA><NA><NA><NA>131855서울특별시 중랑구 묵동 ***번지 세방아파트상가 ***호<NA><NA>하이푸드2005-08-17 00:00:00I2018-08-31 23:59:59.0식품운반업207309.937063457012.966006식품운반업<NA><NA><NA><NA>상수도전용<NA>0000임대00N0.0<NA><NA><NA>
430600003060000-117-2006-0000120060329<NA>3폐업2폐업20060502<NA><NA><NA>02 436065833.0131814서울특별시 중랑구 면목동 ***-*번지 *층<NA><NA>영은유통2006-03-29 00:00:00I2018-08-31 23:59:59.0식품운반업207996.448996453673.742731식품운반업<NA><NA><NA><NA>상수도전용<NA>0000임대00N0.0<NA><NA><NA>
530600003060000-117-2006-0000220060420<NA>3폐업2폐업20080819<NA><NA><NA><NA>16.5131822서울특별시 중랑구 면목동 ***-**번지<NA><NA>씨엘아이2008-07-31 16:33:28I2018-08-31 23:59:59.0식품운반업206661.121886453601.225753식품운반업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
630600003060000-117-2006-0000320060605<NA>3폐업2폐업20070119<NA><NA><NA>02 4360658<NA>131814서울특별시 중랑구 면목동 ***-*번지 *층<NA><NA>영은유통2006-06-05 00:00:00I2018-08-31 23:59:59.0식품운반업207996.448996453673.742731식품운반업<NA><NA><NA><NA><NA><NA>0000자가00N0.0<NA><NA><NA>
730600003060000-117-2006-0000420060630<NA>3폐업2폐업20160307<NA><NA><NA>02 9746100<NA>131851서울특별시 중랑구 묵동 ***-**번지서울특별시 중랑구 중랑천로 *** (묵동)2001(주)금강푸드서비스2016-03-07 11:04:04I2018-08-31 23:59:59.0식품운반업206459.711379457009.141589식품운반업<NA><NA><NA><NA>상수도전용<NA>0000임대<NA><NA>N0.0<NA><NA><NA>
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