Overview

Dataset statistics

Number of variables44
Number of observations34
Missing cells337
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory379.9 B

Variable types

Categorical20
Text8
DateTime4
Unsupported7
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-18215/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
영업장주변구분명 has constant value ""Constant
등급구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (67.7%)Imbalance
여성종사자수 is highly imbalanced (67.7%)Imbalance
총인원 is highly imbalanced (80.9%)Imbalance
시설총규모 is highly imbalanced (50.3%)Imbalance
인허가취소일자 has 34 (100.0%) missing valuesMissing
폐업일자 has 15 (44.1%) missing valuesMissing
휴업시작일자 has 34 (100.0%) missing valuesMissing
휴업종료일자 has 34 (100.0%) missing valuesMissing
재개업일자 has 34 (100.0%) missing valuesMissing
전화번호 has 1 (2.9%) missing valuesMissing
소재지면적 has 2 (5.9%) missing valuesMissing
도로명주소 has 5 (14.7%) missing valuesMissing
도로명우편번호 has 5 (14.7%) missing valuesMissing
영업장주변구분명 has 33 (97.1%) missing valuesMissing
등급구분명 has 33 (97.1%) missing valuesMissing
다중이용업소여부 has 5 (14.7%) missing valuesMissing
전통업소지정번호 has 34 (100.0%) missing valuesMissing
전통업소주된음식 has 34 (100.0%) missing valuesMissing
홈페이지 has 34 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 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 1 (2.9%) zerosZeros

Reproduction

Analysis started2024-04-29 19:39:30.298468
Analysis finished2024-04-29 19:39:31.035363
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
3130000
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 34
100.0%

Length

2024-04-30T04:39:31.099816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:31.180324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 34
100.0%

관리번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-30T04:39:31.314110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters748
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

Unique34 ?
Unique (%)100.0%

Sample

1st row3130000-117-1994-00346
2nd row3130000-117-2005-00001
3rd row3130000-117-2006-00001
4th row3130000-117-2006-00002
5th row3130000-117-2006-00003
ValueCountFrequency (%)
3130000-117-1994-00346 1
 
2.9%
3130000-117-2005-00001 1
 
2.9%
3130000-117-2022-00003 1
 
2.9%
3130000-117-2022-00002 1
 
2.9%
3130000-117-2022-00001 1
 
2.9%
3130000-117-2021-00001 1
 
2.9%
3130000-117-2020-00001 1
 
2.9%
3130000-117-2018-00002 1
 
2.9%
3130000-117-2018-00001 1
 
2.9%
3130000-117-2008-00003 1
 
2.9%
Other values (24) 24
70.6%
2024-04-30T04:39:31.591915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 315
42.1%
1 143
19.1%
- 102
 
13.6%
3 73
 
9.8%
2 53
 
7.1%
7 37
 
4.9%
6 8
 
1.1%
4 6
 
0.8%
8 5
 
0.7%
9 3
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 646
86.4%
Dash Punctuation 102
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 315
48.8%
1 143
22.1%
3 73
 
11.3%
2 53
 
8.2%
7 37
 
5.7%
6 8
 
1.2%
4 6
 
0.9%
8 5
 
0.8%
9 3
 
0.5%
5 3
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 748
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 315
42.1%
1 143
19.1%
- 102
 
13.6%
3 73
 
9.8%
2 53
 
7.1%
7 37
 
4.9%
6 8
 
1.1%
4 6
 
0.8%
8 5
 
0.7%
9 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 315
42.1%
1 143
19.1%
- 102
 
13.6%
3 73
 
9.8%
2 53
 
7.1%
7 37
 
4.9%
6 8
 
1.1%
4 6
 
0.8%
8 5
 
0.7%
9 3
 
0.4%

인허가일자
Date

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1994-11-21 00:00:00
Maximum2022-11-03 00:00:00
2024-04-30T04:39:31.705024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:31.813284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
3
19 
1
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 19
55.9%
1 15
44.1%

Length

2024-04-30T04:39:31.909352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:32.000446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
55.9%
1 15
44.1%

영업상태명
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
폐업
19 
영업/정상
15 

Length

Max length5
Median length2
Mean length3.3235294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
55.9%
영업/정상 15
44.1%

Length

2024-04-30T04:39:32.093906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:32.178374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
55.9%
영업/정상 15
44.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2
19 
1
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 19
55.9%
1 15
44.1%

Length

2024-04-30T04:39:32.280893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:32.367788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 19
55.9%
1 15
44.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
폐업
19 
영업
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 19
55.9%
영업 15
44.1%

Length

2024-04-30T04:39:32.455191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:32.531190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 19
55.9%
영업 15
44.1%

폐업일자
Date

MISSING 

Distinct18
Distinct (%)94.7%
Missing15
Missing (%)44.1%
Memory size404.0 B
Minimum2001-06-23 00:00:00
Maximum2023-08-01 00:00:00
2024-04-30T04:39:32.599498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:32.687055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

전화번호
Text

MISSING 

Distinct29
Distinct (%)87.9%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-04-30T04:39:32.820103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.060606
Min length2

Characters and Unicode

Total characters332
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

Unique25 ?
Unique (%)75.8%

Sample

1st row02
2nd row02 3331490
3rd row3752311
4th row3242992
5th row7073077
ValueCountFrequency (%)
02 23
34.8%
7073077 2
 
3.0%
16442111 2
 
3.0%
3384892 2
 
3.0%
851 2
 
3.0%
8122 2
 
3.0%
707 1
 
1.5%
16115740 1
 
1.5%
3035585 1
 
1.5%
302 1
 
1.5%
Other values (29) 29
43.9%
2024-04-30T04:39:33.096017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 57
17.2%
0 49
14.8%
44
13.3%
3 37
11.1%
1 37
11.1%
7 28
8.4%
8 20
 
6.0%
5 20
 
6.0%
6 16
 
4.8%
4 14
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
86.7%
Space Separator 44
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 57
19.8%
0 49
17.0%
3 37
12.8%
1 37
12.8%
7 28
9.7%
8 20
 
6.9%
5 20
 
6.9%
6 16
 
5.6%
4 14
 
4.9%
9 10
 
3.5%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 332
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 57
17.2%
0 49
14.8%
44
13.3%
3 37
11.1%
1 37
11.1%
7 28
8.4%
8 20
 
6.0%
5 20
 
6.0%
6 16
 
4.8%
4 14
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 332
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 57
17.2%
0 49
14.8%
44
13.3%
3 37
11.1%
1 37
11.1%
7 28
8.4%
8 20
 
6.0%
5 20
 
6.0%
6 16
 
4.8%
4 14
 
4.2%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)90.6%
Missing2
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean125.63563
Minimum0
Maximum630
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-30T04:39:33.203045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.2195
Q129.6375
median68.28
Q3132
95-th percentile525.1135
Maximum630
Range630
Interquartile range (IQR)102.3625

Descriptive statistics

Standard deviation163.45384
Coefficient of variation (CV)1.3010151
Kurtosis3.8303419
Mean125.63563
Median Absolute Deviation (MAD)46.035
Skewness2.099905
Sum4020.34
Variance26717.158
MonotonicityNot monotonic
2024-04-30T04:39:33.299209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
132.0 3
 
8.8%
40.0 2
 
5.9%
5.84 1
 
2.9%
76.44 1
 
2.9%
55.26 1
 
2.9%
6.53 1
 
2.9%
10.0 1
 
2.9%
7.61 1
 
2.9%
297.0 1
 
2.9%
19.8 1
 
2.9%
Other values (19) 19
55.9%
(Missing) 2
 
5.9%
ValueCountFrequency (%)
0.0 1
2.9%
5.84 1
2.9%
6.53 1
2.9%
7.61 1
2.9%
10.0 1
2.9%
19.8 1
2.9%
23.0 1
2.9%
25.88 1
2.9%
30.89 1
2.9%
36.0 1
2.9%
ValueCountFrequency (%)
630.0 1
 
2.9%
593.0 1
 
2.9%
469.57 1
 
2.9%
309.1 1
 
2.9%
297.0 1
 
2.9%
220.0 1
 
2.9%
132.0 3
8.8%
115.07 1
 
2.9%
99.93 1
 
2.9%
99.0 1
 
2.9%

소재지우편번호
Text

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-30T04:39:33.446058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0588235
Min length6

Characters and Unicode

Total characters206
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

Unique14 ?
Unique (%)41.2%

Sample

1st row121841
2nd row121850
3rd row121830
4th row121817
5th row121815
ValueCountFrequency (%)
121805 4
 
11.8%
121826 4
 
11.8%
121815 3
 
8.8%
121850 3
 
8.8%
121819 2
 
5.9%
121884 2
 
5.9%
121848 2
 
5.9%
121745 1
 
2.9%
121841 1
 
2.9%
121889 1
 
2.9%
Other values (11) 11
32.4%
2024-04-30T04:39:33.697463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 79
38.3%
2 39
18.9%
8 36
17.5%
5 13
 
6.3%
0 11
 
5.3%
4 8
 
3.9%
6 5
 
2.4%
9 5
 
2.4%
3 4
 
1.9%
7 4
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 204
99.0%
Dash Punctuation 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 79
38.7%
2 39
19.1%
8 36
17.6%
5 13
 
6.4%
0 11
 
5.4%
4 8
 
3.9%
6 5
 
2.5%
9 5
 
2.5%
3 4
 
2.0%
7 4
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 206
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 79
38.3%
2 39
18.9%
8 36
17.5%
5 13
 
6.3%
0 11
 
5.3%
4 8
 
3.9%
6 5
 
2.4%
9 5
 
2.4%
3 4
 
1.9%
7 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 79
38.3%
2 39
18.9%
8 36
17.5%
5 13
 
6.3%
0 11
 
5.3%
4 8
 
3.9%
6 5
 
2.4%
9 5
 
2.4%
3 4
 
1.9%
7 4
 
1.9%

지번주소
Text

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-30T04:39:33.860613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length26.911765
Min length18

Characters and Unicode

Total characters915
Distinct characters74
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)79.4%

Sample

1st row서울특별시 마포구 서교동 ***-**번지
2nd row서울특별시 마포구 성산동 ***-*번지
3rd row서울특별시 마포구 상암동 **-**번지 *호
4th row서울특별시 마포구 동교동 ***-*번지 LG 팰리스 ****호
5th row서울특별시 마포구 도화동 ***번지 마스터즈타워 ****호
ValueCountFrequency (%)
서울특별시 34
19.7%
마포구 34
19.7%
번지 21
12.1%
12
 
6.9%
호 8
 
4.6%
도화동 7
 
4.0%
성산동 5
 
2.9%
공덕동 5
 
2.9%
망원동 5
 
2.9%
한국사회복지회관 4
 
2.3%
Other values (24) 38
22.0%
2024-04-30T04:39:34.138314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
18.0%
* 157
17.2%
마 40
 
4.4%
서 39
 
4.3%
동 37
 
4.0%
포 35
 
3.8%
울 35
 
3.8%
구 35
 
3.8%
시 34
 
3.7%
별 34
 
3.7%
Other values (64) 304
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 562
61.4%
Space Separator 165
 
18.0%
Other Punctuation 157
 
17.2%
Dash Punctuation 23
 
2.5%
Decimal Number 3
 
0.3%
Uppercase Letter 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 40
 
7.1%
서 39
 
6.9%
동 37
 
6.6%
포 35
 
6.2%
울 35
 
6.2%
구 35
 
6.2%
시 34
 
6.0%
별 34
 
6.0%
특 34
 
6.0%
지 25
 
4.4%
Other values (53) 214
38.1%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
5 1
33.3%
6 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
G 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Other Punctuation
ValueCountFrequency (%)
* 157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 562
61.4%
Common 350
38.3%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 40
 
7.1%
서 39
 
6.9%
동 37
 
6.6%
포 35
 
6.2%
울 35
 
6.2%
구 35
 
6.2%
시 34
 
6.0%
별 34
 
6.0%
특 34
 
6.0%
지 25
 
4.4%
Other values (53) 214
38.1%
Common
ValueCountFrequency (%)
165
47.1%
* 157
44.9%
- 23
 
6.6%
4 1
 
0.3%
5 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
B 1
33.3%
G 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 562
61.4%
ASCII 353
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
46.7%
* 157
44.5%
- 23
 
6.5%
4 1
 
0.3%
5 1
 
0.3%
B 1
 
0.3%
G 1
 
0.3%
L 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
Hangul
ValueCountFrequency (%)
마 40
 
7.1%
서 39
 
6.9%
동 37
 
6.6%
포 35
 
6.2%
울 35
 
6.2%
구 35
 
6.2%
시 34
 
6.0%
별 34
 
6.0%
특 34
 
6.0%
지 25
 
4.4%
Other values (53) 214
38.1%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)86.2%
Missing5
Missing (%)14.7%
Memory size404.0 B
2024-04-30T04:39:34.317726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length35.172414
Min length25

Characters and Unicode

Total characters1020
Distinct characters93
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)75.9%

Sample

1st row서울특별시 마포구 월드컵로 ***, ****층 (성산동, 이안상암Ⅱ)
2nd row서울특별시 마포구 양화로 *** (동교동, LG 팰리스 ****호)
3rd row서울특별시 마포구 독막로 *** (도화동, 마스터즈타워 ****호)
4th row서울특별시 마포구 독막로 ***, ****호 (도화동, 마스터즈타워)
5th row서울특별시 마포구 마포대로 **-* (도화동)
ValueCountFrequency (%)
서울특별시 29
14.7%
마포구 29
14.7%
28
14.2%
층 12
 
6.1%
호 10
 
5.1%
도화동 7
 
3.6%
망원동 5
 
2.5%
성산동 5
 
2.5%
공덕동 5
 
2.5%
월드컵로 5
 
2.5%
Other values (34) 62
31.5%
2024-04-30T04:39:34.705135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
16.5%
* 142
 
13.9%
마 39
 
3.8%
포 35
 
3.4%
동 34
 
3.3%
) 33
 
3.2%
( 33
 
3.2%
, 31
 
3.0%
서 30
 
2.9%
울 30
 
2.9%
Other values (83) 445
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 599
58.7%
Other Punctuation 173
 
17.0%
Space Separator 168
 
16.5%
Close Punctuation 33
 
3.2%
Open Punctuation 33
 
3.2%
Decimal Number 6
 
0.6%
Uppercase Letter 5
 
0.5%
Dash Punctuation 2
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 39
 
6.5%
포 35
 
5.8%
동 34
 
5.7%
서 30
 
5.0%
울 30
 
5.0%
특 29
 
4.8%
별 29
 
4.8%
구 29
 
4.8%
시 29
 
4.8%
로 29
 
4.8%
Other values (67) 286
47.7%
Uppercase Letter
ValueCountFrequency (%)
V 1
20.0%
I 1
20.0%
P 1
20.0%
G 1
20.0%
L 1
20.0%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
1 2
33.3%
2 1
16.7%
0 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 142
82.1%
, 31
 
17.9%
Space Separator
ValueCountFrequency (%)
168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 599
58.7%
Common 415
40.7%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 39
 
6.5%
포 35
 
5.8%
동 34
 
5.7%
서 30
 
5.0%
울 30
 
5.0%
특 29
 
4.8%
별 29
 
4.8%
구 29
 
4.8%
시 29
 
4.8%
로 29
 
4.8%
Other values (67) 286
47.7%
Common
ValueCountFrequency (%)
168
40.5%
* 142
34.2%
) 33
 
8.0%
( 33
 
8.0%
, 31
 
7.5%
- 2
 
0.5%
4 2
 
0.5%
1 2
 
0.5%
2 1
 
0.2%
0 1
 
0.2%
Latin
ValueCountFrequency (%)
V 1
16.7%
I 1
16.7%
P 1
16.7%
Ⅱ 1
16.7%
G 1
16.7%
L 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 599
58.7%
ASCII 420
41.2%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
40.0%
* 142
33.8%
) 33
 
7.9%
( 33
 
7.9%
, 31
 
7.4%
- 2
 
0.5%
4 2
 
0.5%
1 2
 
0.5%
V 1
 
0.2%
I 1
 
0.2%
Other values (5) 5
 
1.2%
Hangul
ValueCountFrequency (%)
마 39
 
6.5%
포 35
 
5.8%
동 34
 
5.7%
서 30
 
5.0%
울 30
 
5.0%
특 29
 
4.8%
별 29
 
4.8%
구 29
 
4.8%
시 29
 
4.8%
로 29
 
4.8%
Other values (67) 286
47.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)44.8%
Missing5
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean4066
Minimum3938
Maximum4195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-30T04:39:34.866543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3938
5-th percentile3938
Q13970
median4072
Q34156
95-th percentile4195
Maximum4195
Range257
Interquartile range (IQR)186

Descriptive statistics

Standard deviation96.01488
Coefficient of variation (CV)0.023614088
Kurtosis-1.7185947
Mean4066
Median Absolute Deviation (MAD)85
Skewness0.024574257
Sum117914
Variance9218.8571
MonotonicityNot monotonic
2024-04-30T04:39:34.964434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4156 4
11.8%
3962 4
11.8%
4195 4
11.8%
3938 3
8.8%
4157 3
8.8%
4072 2
 
5.9%
3992 2
 
5.9%
3970 2
 
5.9%
4050 1
 
2.9%
4088 1
 
2.9%
Other values (3) 3
8.8%
(Missing) 5
14.7%
ValueCountFrequency (%)
3938 3
8.8%
3962 4
11.8%
3970 2
5.9%
3992 2
5.9%
4006 1
 
2.9%
4021 1
 
2.9%
4050 1
 
2.9%
4072 2
5.9%
4088 1
 
2.9%
4144 1
 
2.9%
ValueCountFrequency (%)
4195 4
11.8%
4157 3
8.8%
4156 4
11.8%
4144 1
 
2.9%
4088 1
 
2.9%
4072 2
5.9%
4050 1
 
2.9%
4021 1
 
2.9%
4006 1
 
2.9%
3992 2
5.9%

사업장명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-04-30T04:39:35.128456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.4411765
Min length5

Characters and Unicode

Total characters287
Distinct characters90
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

Unique34 ?
Unique (%)100.0%

Sample

1st row(주)우섬기업
2nd row에스앤샤(주)
3rd row선 푸 드
4th row한마음유통
5th row삼진화물운수(주)
ValueCountFrequency (%)
주식회사 2
 
5.0%
대세종합통운(주 1
 
2.5%
주)경세물류 1
 
2.5%
대상베스트코(주)성산지점 1
 
2.5%
주)가오물류 1
 
2.5%
주)제이알컴퍼니 1
 
2.5%
소원통상 1
 
2.5%
주)제이알코어 1
 
2.5%
주)범아코퍼레이션 1
 
2.5%
물류뱅크(주 1
 
2.5%
Other values (29) 29
72.5%
2024-04-30T04:39:35.444663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
10.1%
( 27
 
9.4%
) 27
 
9.4%
스 14
 
4.9%
이 10
 
3.5%
물 9
 
3.1%
류 8
 
2.8%
지 7
 
2.4%
6
 
2.1%
제 5
 
1.7%
Other values (80) 145
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
78.7%
Open Punctuation 27
 
9.4%
Close Punctuation 27
 
9.4%
Space Separator 6
 
2.1%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
12.8%
스 14
 
6.2%
이 10
 
4.4%
물 9
 
4.0%
류 8
 
3.5%
지 7
 
3.1%
제 5
 
2.2%
로 5
 
2.2%
세 4
 
1.8%
퍼 4
 
1.8%
Other values (76) 131
58.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
78.7%
Common 61
 
21.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
12.8%
스 14
 
6.2%
이 10
 
4.4%
물 9
 
4.0%
류 8
 
3.5%
지 7
 
3.1%
제 5
 
2.2%
로 5
 
2.2%
세 4
 
1.8%
퍼 4
 
1.8%
Other values (76) 131
58.0%
Common
ValueCountFrequency (%)
( 27
44.3%
) 27
44.3%
6
 
9.8%
1 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
78.7%
ASCII 61
 
21.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
12.8%
스 14
 
6.2%
이 10
 
4.4%
물 9
 
4.0%
류 8
 
3.5%
지 7
 
3.1%
제 5
 
2.2%
로 5
 
2.2%
세 4
 
1.8%
퍼 4
 
1.8%
Other values (76) 131
58.0%
ASCII
ValueCountFrequency (%)
( 27
44.3%
) 27
44.3%
6
 
9.8%
1 1
 
1.6%

최종수정일자
Date

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2001-10-05 00:00:00
Maximum2023-08-01 14:06:12
2024-04-30T04:39:35.558108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:35.674250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
I
20 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 20
58.8%
U 14
41.2%

Length

2024-04-30T04:39:35.788171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:35.874957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
58.8%
u 14
41.2%

데이터갱신일자
Date

Distinct18
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 00:03:00
2024-04-30T04:39:35.958014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:39:36.056386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
식품운반업
34 

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 34
100.0%

Length

2024-04-30T04:39:36.155460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:36.429077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품운반업 34
100.0%

좌표정보(X)
Real number (ℝ)

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193352.9
Minimum190564.1
Maximum195766.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-30T04:39:36.497969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190564.1
5-th percentile191307.61
Q1191578.11
median192802.58
Q3195422.36
95-th percentile195766.59
Maximum195766.59
Range5202.4905
Interquartile range (IQR)3844.2421

Descriptive statistics

Standard deviation1809.3267
Coefficient of variation (CV)0.0093576395
Kurtosis-1.6376111
Mean193352.9
Median Absolute Deviation (MAD)1400.2799
Skewness0.18808359
Sum6573998.4
Variance3273663.1
MonotonicityNot monotonic
2024-04-30T04:39:36.597451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
195766.588069694 4
 
11.8%
191482.814368332 3
 
8.8%
195454.875715409 3
 
8.8%
191726.459412 2
 
5.9%
195324.793653981 2
 
5.9%
192628.745242508 2
 
5.9%
191394.825368291 2
 
5.9%
191731.879977029 1
 
2.9%
191164.349860721 1
 
2.9%
191528.664363799 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
190564.097592187 1
 
2.9%
191164.349860721 1
 
2.9%
191384.752419064 1
 
2.9%
191394.825368291 2
5.9%
191482.814368332 3
8.8%
191528.664363799 1
 
2.9%
191726.459412 2
5.9%
191731.879977029 1
 
2.9%
192492.54382962 1
 
2.9%
192628.745242508 2
5.9%
ValueCountFrequency (%)
195766.588069694 4
11.8%
195703.425296812 1
 
2.9%
195484.435869855 1
 
2.9%
195454.875715409 3
8.8%
195324.793653981 2
5.9%
195277.885388974 1
 
2.9%
194195.385114909 1
 
2.9%
193956.636123067 1
 
2.9%
193166.430144679 1
 
2.9%
193035.966460428 1
 
2.9%

좌표정보(Y)
Real number (ℝ)

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450065.86
Minimum448885.43
Maximum452815.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-04-30T04:39:36.692774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448885.43
5-th percentile448907.67
Q1449083.31
median449919.35
Q3451063.46
95-th percentile451555.57
Maximum452815.65
Range3930.2239
Interquartile range (IQR)1980.1497

Descriptive statistics

Standard deviation1053.9805
Coefficient of variation (CV)0.0023418363
Kurtosis-0.5047115
Mean450065.86
Median Absolute Deviation (MAD)877.50489
Skewness0.60456571
Sum15302239
Variance1110875
MonotonicityNot monotonic
2024-04-30T04:39:36.797769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
449083.306922623 4
 
11.8%
451079.570059339 3
 
8.8%
448970.223733402 3
 
8.8%
451300.219989 2
 
5.9%
448885.430093289 2
 
5.9%
449524.160162437 2
 
5.9%
451555.568249124 2
 
5.9%
449899.651492106 1
 
2.9%
450270.665515156 1
 
2.9%
451015.116442491 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
448885.430093289 2
5.9%
448919.647035291 1
 
2.9%
448970.223733402 3
8.8%
449000.384905405 1
 
2.9%
449083.306922623 4
11.8%
449187.016895274 1
 
2.9%
449327.661840737 1
 
2.9%
449330.800717721 1
 
2.9%
449524.160162437 2
5.9%
449899.651492106 1
 
2.9%
ValueCountFrequency (%)
452815.653945716 1
 
2.9%
451555.568249124 2
5.9%
451328.488369456 1
 
2.9%
451300.219989 2
5.9%
451079.570059339 3
8.8%
451015.116442491 1
 
2.9%
450573.632110923 1
 
2.9%
450551.834876995 1
 
2.9%
450481.055247985 1
 
2.9%
450425.852790862 1
 
2.9%

위생업태명
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
식품운반업
29 
<NA>
5 

Length

Max length5
Median length5
Mean length4.8529412
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품운반업 29
85.3%
<NA> 5
 
14.7%

Length

2024-04-30T04:39:36.901286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:36.978992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품운반업 29
85.3%
na 5
 
14.7%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
32 
0
 
2

Length

Max length4
Median length4
Mean length3.8235294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
94.1%
0 2
 
5.9%

Length

2024-04-30T04:39:37.075419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:37.168623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
94.1%
0 2
 
5.9%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
32 
0
 
2

Length

Max length4
Median length4
Mean length3.8235294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
94.1%
0 2
 
5.9%

Length

2024-04-30T04:39:37.261542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:37.341807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
94.1%
0 2
 
5.9%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2024-04-30T04:39:37.393703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-30T04:39:37.556171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

등급구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2024-04-30T04:39:37.631333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-30T04:39:37.804960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

급수시설구분명
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
29 
상수도전용
5 

Length

Max length5
Median length4
Mean length4.1470588
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
85.3%
상수도전용 5
 
14.7%

Length

2024-04-30T04:39:37.921269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:38.021285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
85.3%
상수도전용 5
 
14.7%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
33 
0
 
1

Length

Max length4
Median length4
Mean length3.9117647
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
97.1%
0 1
 
2.9%

Length

2024-04-30T04:39:38.118811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:38.209791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
97.1%
0 1
 
2.9%

본사종업원수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
25 
0
9 

Length

Max length4
Median length4
Mean length3.2058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
73.5%
0 9
 
26.5%

Length

2024-04-30T04:39:38.321192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:38.413721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
73.5%
0 9
 
26.5%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
25 
0
9 

Length

Max length4
Median length4
Mean length3.2058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
73.5%
0 9
 
26.5%

Length

2024-04-30T04:39:38.508877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:38.597575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
73.5%
0 9
 
26.5%

공장판매직종업원수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
25 
0
9 

Length

Max length4
Median length4
Mean length3.2058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
73.5%
0 9
 
26.5%

Length

2024-04-30T04:39:38.692102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:38.775785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
73.5%
0 9
 
26.5%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
25 
0
9 

Length

Max length4
Median length4
Mean length3.2058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
73.5%
0 9
 
26.5%

Length

2024-04-30T04:39:38.860826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:38.940280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
73.5%
0 9
 
26.5%

건물소유구분명
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
임대
14 
<NA>
11 
자가
9 

Length

Max length4
Median length2
Mean length2.6470588
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임대 14
41.2%
<NA> 11
32.4%
자가 9
26.5%

Length

2024-04-30T04:39:39.029020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:39.114068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임대 14
41.2%
na 11
32.4%
자가 9
26.5%

보증액
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
30 
0
4 

Length

Max length4
Median length4
Mean length3.6470588
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
88.2%
0 4
 
11.8%

Length

2024-04-30T04:39:39.202618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:39.281198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
88.2%
0 4
 
11.8%

월세액
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
30 
0
4 

Length

Max length4
Median length4
Mean length3.6470588
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
88.2%
0 4
 
11.8%

Length

2024-04-30T04:39:39.383372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:39.473125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
88.2%
0 4
 
11.8%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing5
Missing (%)14.7%
Memory size200.0 B
False
29 
(Missing)
5 
ValueCountFrequency (%)
False 29
85.3%
(Missing) 5
 
14.7%
2024-04-30T04:39:39.544934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
0
28 
<NA>
5 
210
 
1

Length

Max length4
Median length1
Mean length1.5
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
82.4%
<NA> 5
 
14.7%
210 1
 
2.9%

Length

2024-04-30T04:39:39.642802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:39:39.731570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
82.4%
na 5
 
14.7%
210 1
 
2.9%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031300003130000-117-1994-0034619941121<NA>3폐업2폐업20010623<NA><NA><NA>020.0121841서울특별시 마포구 서교동 ***-**번지<NA><NA>(주)우섬기업2001-10-05 00:00:00I2018-08-31 23:59:59.0식품운반업192677.766549450573.632111식품운반업00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0<NA><NA><NA>
131300003130000-117-2005-0000120050223<NA>3폐업2폐업20191218<NA><NA><NA>02 333149040.0121850서울특별시 마포구 성산동 ***-*번지서울특별시 마포구 월드컵로 ***, ****층 (성산동, 이안상암Ⅱ)3938에스앤샤(주)2019-12-18 13:56:51U2019-12-20 02:40:00.0식품운반업191384.752419451328.488369식품운반업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0<NA><NA><NA>
231300003130000-117-2006-0000120060418<NA>3폐업2폐업20120323<NA><NA><NA>375231123.0121830서울특별시 마포구 상암동 **-**번지 *호<NA><NA>선 푸 드2008-08-22 15:39:44I2018-08-31 23:59:59.0식품운반업190564.097592452815.653946식품운반업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0<NA><NA><NA>
331300003130000-117-2006-0000220060517<NA>3폐업2폐업20160711<NA><NA><NA>324299236.0121817서울특별시 마포구 동교동 ***-*번지 LG 팰리스 ****호서울특별시 마포구 양화로 *** (동교동, LG 팰리스 ****호)4050한마음유통2016-07-11 17:28:56I2018-08-31 23:59:59.0식품운반업193166.430145450425.852791식품운반업<NA><NA><NA><NA><NA><NA>0000자가<NA><NA>N0<NA><NA><NA>
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