Overview

Dataset statistics

Number of variables44
Number of observations255
Missing cells2842
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.3 KiB
Average record size in memory378.5 B

Variable types

Categorical20
Text6
DateTime4
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-18067/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (61.7%)Imbalance
여성종사자수 is highly imbalanced (61.7%)Imbalance
급수시설구분명 is highly imbalanced (76.1%)Imbalance
총인원 is highly imbalanced (61.7%)Imbalance
공장사무직종업원수 is highly imbalanced (67.7%)Imbalance
공장판매직종업원수 is highly imbalanced (62.0%)Imbalance
공장생산직종업원수 is highly imbalanced (62.6%)Imbalance
보증액 is highly imbalanced (72.0%)Imbalance
월세액 is highly imbalanced (72.0%)Imbalance
인허가취소일자 has 255 (100.0%) missing valuesMissing
폐업일자 has 128 (50.2%) missing valuesMissing
휴업시작일자 has 255 (100.0%) missing valuesMissing
휴업종료일자 has 255 (100.0%) missing valuesMissing
재개업일자 has 255 (100.0%) missing valuesMissing
전화번호 has 105 (41.2%) missing valuesMissing
소재지면적 has 93 (36.5%) missing valuesMissing
도로명주소 has 16 (6.3%) missing valuesMissing
도로명우편번호 has 19 (7.5%) missing valuesMissing
좌표정보(X) has 37 (14.5%) missing valuesMissing
좌표정보(Y) has 37 (14.5%) missing valuesMissing
영업장주변구분명 has 255 (100.0%) missing valuesMissing
등급구분명 has 255 (100.0%) missing valuesMissing
다중이용업소여부 has 108 (42.4%) missing valuesMissing
전통업소지정번호 has 255 (100.0%) missing valuesMissing
전통업소주된음식 has 255 (100.0%) missing valuesMissing
홈페이지 has 255 (100.0%) missing valuesMissing
관리번호 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
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 43 (16.9%) zerosZeros

Reproduction

Analysis started2024-05-18 00:47:10.659700
Analysis finished2024-05-18 00:47:12.147524
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3150000
255 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 255
100.0%

Length

2024-05-18T09:47:12.446194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:12.762851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 255
100.0%

관리번호
Text

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-18T09:47:13.171770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5610
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

Unique255 ?
Unique (%)100.0%

Sample

1st row3150000-135-2004-00001
2nd row3150000-135-2004-00002
3rd row3150000-135-2004-00003
4th row3150000-135-2004-00004
5th row3150000-135-2004-00005
ValueCountFrequency (%)
3150000-135-2004-00001 1
 
0.4%
3150000-135-2020-00019 1
 
0.4%
3150000-135-2020-00021 1
 
0.4%
3150000-135-2020-00022 1
 
0.4%
3150000-135-2020-00023 1
 
0.4%
3150000-135-2020-00024 1
 
0.4%
3150000-135-2020-00025 1
 
0.4%
3150000-135-2020-00026 1
 
0.4%
3150000-135-2020-00027 1
 
0.4%
3150000-135-2020-00028 1
 
0.4%
Other values (245) 245
96.1%
2024-05-18T09:47:13.993106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2290
40.8%
- 765
 
13.6%
1 746
 
13.3%
3 579
 
10.3%
5 561
 
10.0%
2 465
 
8.3%
4 47
 
0.8%
9 47
 
0.8%
8 38
 
0.7%
6 37
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4845
86.4%
Dash Punctuation 765
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2290
47.3%
1 746
 
15.4%
3 579
 
12.0%
5 561
 
11.6%
2 465
 
9.6%
4 47
 
1.0%
9 47
 
1.0%
8 38
 
0.8%
6 37
 
0.8%
7 35
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 765
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2290
40.8%
- 765
 
13.6%
1 746
 
13.3%
3 579
 
10.3%
5 561
 
10.0%
2 465
 
8.3%
4 47
 
0.8%
9 47
 
0.8%
8 38
 
0.7%
6 37
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2290
40.8%
- 765
 
13.6%
1 746
 
13.3%
3 579
 
10.3%
5 561
 
10.0%
2 465
 
8.3%
4 47
 
0.8%
9 47
 
0.8%
8 38
 
0.7%
6 37
 
0.7%

인허가일자
Date

Distinct244
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2004-06-14 00:00:00
Maximum2024-04-15 00:00:00
2024-05-18T09:47:14.288959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:47:14.689413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
128 
3
127 

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 (%)
1 128
50.2%
3 127
49.8%

Length

2024-05-18T09:47:14.984621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:15.154876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 128
50.2%
3 127
49.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업/정상
128 
폐업
127 

Length

Max length5
Median length5
Mean length3.5058824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 128
50.2%
폐업 127
49.8%

Length

2024-05-18T09:47:15.358223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:15.688625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 128
50.2%
폐업 127
49.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
1
128 
2
127 

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 (%)
1 128
50.2%
2 127
49.8%

Length

2024-05-18T09:47:15.939134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:16.114108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 128
50.2%
2 127
49.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
영업
128 
폐업
127 

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 (%)
영업 128
50.2%
폐업 127
49.8%

Length

2024-05-18T09:47:16.618543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:16.789363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 128
50.2%
폐업 127
49.8%

폐업일자
Date

MISSING 

Distinct108
Distinct (%)85.0%
Missing128
Missing (%)50.2%
Memory size2.1 KiB
Minimum2005-05-09 00:00:00
Maximum2024-04-25 00:00:00
2024-05-18T09:47:17.063835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:47:17.482761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct144
Distinct (%)96.0%
Missing105
Missing (%)41.2%
Memory size2.1 KiB
2024-05-18T09:47:17.929384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.346667
Min length8

Characters and Unicode

Total characters1552
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

Unique139 ?
Unique (%)92.7%

Sample

1st row0226583600
2nd row0226614745
3rd row0226427692
4th row0226968559
5th row0226954116
ValueCountFrequency (%)
02 33
 
16.3%
070 5
 
2.5%
0226966960 3
 
1.5%
26680323 2
 
1.0%
07043334978 2
 
1.0%
031 2
 
1.0%
26966960 2
 
1.0%
458 2
 
1.0%
0226050410 2
 
1.0%
0236651333 2
 
1.0%
Other values (146) 147
72.8%
2024-05-18T09:47:18.731729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 293
18.9%
2 247
15.9%
6 200
12.9%
3 134
8.6%
5 113
 
7.3%
1 106
 
6.8%
7 100
 
6.4%
8 98
 
6.3%
4 95
 
6.1%
9 92
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1478
95.2%
Space Separator 74
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 293
19.8%
2 247
16.7%
6 200
13.5%
3 134
9.1%
5 113
 
7.6%
1 106
 
7.2%
7 100
 
6.8%
8 98
 
6.6%
4 95
 
6.4%
9 92
 
6.2%
Space Separator
ValueCountFrequency (%)
74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 293
18.9%
2 247
15.9%
6 200
12.9%
3 134
8.6%
5 113
 
7.3%
1 106
 
6.8%
7 100
 
6.4%
8 98
 
6.3%
4 95
 
6.1%
9 92
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 293
18.9%
2 247
15.9%
6 200
12.9%
3 134
8.6%
5 113
 
7.3%
1 106
 
6.8%
7 100
 
6.4%
8 98
 
6.3%
4 95
 
6.1%
9 92
 
5.9%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)54.9%
Missing93
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean53.267284
Minimum0
Maximum1375
Zeros43
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-18T09:47:19.137567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median18.525
Q341.6
95-th percentile173.2175
Maximum1375
Range1375
Interquartile range (IQR)41.6

Descriptive statistics

Standard deviation147.44584
Coefficient of variation (CV)2.7680376
Kurtosis49.592678
Mean53.267284
Median Absolute Deviation (MAD)18.525
Skewness6.5559385
Sum8629.3
Variance21740.277
MonotonicityNot monotonic
2024-05-18T09:47:19.560841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 43
16.9%
10.0 7
 
2.7%
20.0 7
 
2.7%
3.3 7
 
2.7%
30.0 5
 
2.0%
50.0 4
 
1.6%
15.0 3
 
1.2%
120.0 3
 
1.2%
100.0 2
 
0.8%
4.0 2
 
0.8%
Other values (79) 79
31.0%
(Missing) 93
36.5%
ValueCountFrequency (%)
0.0 43
16.9%
1.5 1
 
0.4%
2.0 1
 
0.4%
3.0 1
 
0.4%
3.3 7
 
2.7%
4.0 2
 
0.8%
5.0 1
 
0.4%
5.5 1
 
0.4%
5.7 1
 
0.4%
6.0 1
 
0.4%
ValueCountFrequency (%)
1375.0 1
0.4%
889.4 1
0.4%
800.0 1
0.4%
273.0 1
0.4%
262.0 1
0.4%
237.6 1
0.4%
233.53 1
0.4%
200.84 1
0.4%
173.65 1
0.4%
165.0 1
0.4%

소재지우편번호
Text

Distinct65
Distinct (%)25.7%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2024-05-18T09:47:20.044399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2608696
Min length6

Characters and Unicode

Total characters1584
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

Unique39 ?
Unique (%)15.4%

Sample

1st row157930
2nd row157851
3rd row157898
4th row157911
5th row157230
ValueCountFrequency (%)
157210 68
26.9%
157-210 40
15.8%
157930 20
 
7.9%
157840 15
 
5.9%
157881 6
 
2.4%
157904 6
 
2.4%
157925 5
 
2.0%
157804 5
 
2.0%
157839 4
 
1.6%
157-904 4
 
1.6%
Other values (55) 80
31.6%
2024-05-18T09:47:20.977271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 386
24.4%
7 276
17.4%
5 268
16.9%
0 187
11.8%
2 124
 
7.8%
8 97
 
6.1%
9 71
 
4.5%
- 66
 
4.2%
4 48
 
3.0%
3 46
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1518
95.8%
Dash Punctuation 66
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 386
25.4%
7 276
18.2%
5 268
17.7%
0 187
12.3%
2 124
 
8.2%
8 97
 
6.4%
9 71
 
4.7%
4 48
 
3.2%
3 46
 
3.0%
6 15
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1584
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 386
24.4%
7 276
17.4%
5 268
16.9%
0 187
11.8%
2 124
 
7.8%
8 97
 
6.1%
9 71
 
4.5%
- 66
 
4.2%
4 48
 
3.0%
3 46
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1584
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 386
24.4%
7 276
17.4%
5 268
16.9%
0 187
11.8%
2 124
 
7.8%
8 97
 
6.1%
9 71
 
4.5%
- 66
 
4.2%
4 48
 
3.0%
3 46
 
2.9%

지번주소
Text

Distinct210
Distinct (%)83.0%
Missing2
Missing (%)0.8%
Memory size2.1 KiB
2024-05-18T09:47:21.426780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length29.889328
Min length18

Characters and Unicode

Total characters7562
Distinct characters205
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)73.1%

Sample

1st row서울특별시 강서구 등촌동 ***번지 투에프코트***호
2nd row서울특별시 강서구 방화동 ***-**번지 *층
3rd row서울특별시 강서구 화곡동 ***-*번지
4th row서울특별시 강서구 화곡동 ***-*번지
5th row서울특별시 강서구 개화동 ***-**번지
ValueCountFrequency (%)
서울특별시 253
17.8%
강서구 253
17.8%
158
11.1%
마곡동 108
 
7.6%
호 106
 
7.4%
번지 89
 
6.2%
층 68
 
4.8%
등촌동 48
 
3.4%
화곡동 47
 
3.3%
가양동 18
 
1.3%
Other values (156) 276
19.4%
2024-05-18T09:47:22.255521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1607
21.3%
1276
16.9%
서 512
 
6.8%
동 277
 
3.7%
강 262
 
3.5%
시 257
 
3.4%
울 254
 
3.4%
특 253
 
3.3%
별 253
 
3.3%
구 253
 
3.3%
Other values (195) 2358
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4304
56.9%
Other Punctuation 1611
 
21.3%
Space Separator 1276
 
16.9%
Dash Punctuation 240
 
3.2%
Decimal Number 54
 
0.7%
Uppercase Letter 28
 
0.4%
Letter Number 18
 
0.2%
Close Punctuation 14
 
0.2%
Open Punctuation 14
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 512
 
11.9%
동 277
 
6.4%
강 262
 
6.1%
시 257
 
6.0%
울 254
 
5.9%
특 253
 
5.9%
별 253
 
5.9%
구 253
 
5.9%
곡 182
 
4.2%
마 137
 
3.2%
Other values (166) 1664
38.7%
Decimal Number
ValueCountFrequency (%)
6 9
16.7%
1 8
14.8%
7 7
13.0%
4 7
13.0%
2 5
9.3%
5 5
9.3%
3 4
7.4%
0 4
7.4%
9 3
 
5.6%
8 2
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 14
50.0%
B 6
21.4%
G 2
 
7.1%
D 2
 
7.1%
M 2
 
7.1%
W 1
 
3.6%
C 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
* 1607
99.8%
, 3
 
0.2%
/ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 7
38.9%
Ⅲ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
1276
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4304
56.9%
Common 3211
42.5%
Latin 47
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 512
 
11.9%
동 277
 
6.4%
강 262
 
6.1%
시 257
 
6.0%
울 254
 
5.9%
특 253
 
5.9%
별 253
 
5.9%
구 253
 
5.9%
곡 182
 
4.2%
마 137
 
3.2%
Other values (166) 1664
38.7%
Common
ValueCountFrequency (%)
* 1607
50.0%
1276
39.7%
- 240
 
7.5%
) 14
 
0.4%
( 14
 
0.4%
6 9
 
0.3%
1 8
 
0.2%
7 7
 
0.2%
4 7
 
0.2%
2 5
 
0.2%
Other values (8) 24
 
0.7%
Latin
ValueCountFrequency (%)
A 14
29.8%
Ⅱ 10
21.3%
Ⅰ 7
14.9%
B 6
12.8%
G 2
 
4.3%
D 2
 
4.3%
M 2
 
4.3%
W 1
 
2.1%
Ⅲ 1
 
2.1%
c 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4304
56.9%
ASCII 3240
42.8%
Number Forms 18
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1607
49.6%
1276
39.4%
- 240
 
7.4%
) 14
 
0.4%
A 14
 
0.4%
( 14
 
0.4%
6 9
 
0.3%
1 8
 
0.2%
7 7
 
0.2%
4 7
 
0.2%
Other values (16) 44
 
1.4%
Hangul
ValueCountFrequency (%)
서 512
 
11.9%
동 277
 
6.4%
강 262
 
6.1%
시 257
 
6.0%
울 254
 
5.9%
특 253
 
5.9%
별 253
 
5.9%
구 253
 
5.9%
곡 182
 
4.2%
마 137
 
3.2%
Other values (166) 1664
38.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 7
38.9%
Ⅲ 1
 
5.6%

도로명주소
Text

MISSING 

Distinct210
Distinct (%)87.9%
Missing16
Missing (%)6.3%
Memory size2.1 KiB
2024-05-18T09:47:22.774979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length38.606695
Min length22

Characters and Unicode

Total characters9227
Distinct characters216
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)78.7%

Sample

1st row서울특별시 강서구 공항대로**길 ** (등촌동,투에프코트***호)
2nd row서울특별시 강서구 개화동로**길 **-* (개화동)
3rd row서울특별시 강서구 양천로 ***, **층 ****호 (등촌동, *동 두산위브센티움)
4th row서울특별시 강서구 공항대로**길 ** (등촌동,***호)
5th row서울특별시 강서구 강서로 *** (등촌동,*층)
ValueCountFrequency (%)
서울특별시 239
13.6%
강서구 239
13.6%
234
13.4%
층 157
 
9.0%
호 150
 
8.6%
마곡동 108
 
6.2%
등촌동 41
 
2.3%
공항대로 37
 
2.1%
화곡동 36
 
2.1%
마곡중앙*로 28
 
1.6%
Other values (203) 483
27.6%
2024-05-18T09:47:23.556250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1665
18.0%
1513
16.4%
서 533
 
5.8%
동 288
 
3.1%
강 281
 
3.0%
, 272
 
2.9%
곡 253
 
2.7%
로 246
 
2.7%
( 244
 
2.6%
) 244
 
2.6%
Other values (206) 3688
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5117
55.5%
Other Punctuation 1938
 
21.0%
Space Separator 1513
 
16.4%
Open Punctuation 244
 
2.6%
Close Punctuation 244
 
2.6%
Decimal Number 62
 
0.7%
Dash Punctuation 45
 
0.5%
Uppercase Letter 39
 
0.4%
Letter Number 18
 
0.2%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 533
 
10.4%
동 288
 
5.6%
강 281
 
5.5%
곡 253
 
4.9%
로 246
 
4.8%
시 243
 
4.7%
울 240
 
4.7%
특 239
 
4.7%
별 239
 
4.7%
구 239
 
4.7%
Other values (178) 2316
45.3%
Decimal Number
ValueCountFrequency (%)
6 14
22.6%
2 11
17.7%
4 11
17.7%
3 9
14.5%
1 7
11.3%
5 4
 
6.5%
0 4
 
6.5%
9 1
 
1.6%
7 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
A 16
41.0%
B 13
33.3%
M 2
 
5.1%
O 2
 
5.1%
G 2
 
5.1%
D 2
 
5.1%
W 1
 
2.6%
C 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
* 1665
85.9%
, 272
 
14.0%
/ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 7
38.9%
Ⅲ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
1513
100.0%
Open Punctuation
ValueCountFrequency (%)
( 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5117
55.5%
Common 4053
43.9%
Latin 57
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 533
 
10.4%
동 288
 
5.6%
강 281
 
5.5%
곡 253
 
4.9%
로 246
 
4.8%
시 243
 
4.7%
울 240
 
4.7%
특 239
 
4.7%
별 239
 
4.7%
구 239
 
4.7%
Other values (178) 2316
45.3%
Common
ValueCountFrequency (%)
* 1665
41.1%
1513
37.3%
, 272
 
6.7%
( 244
 
6.0%
) 244
 
6.0%
- 45
 
1.1%
6 14
 
0.3%
2 11
 
0.3%
4 11
 
0.3%
3 9
 
0.2%
Other values (7) 25
 
0.6%
Latin
ValueCountFrequency (%)
A 16
28.1%
B 13
22.8%
Ⅱ 10
17.5%
Ⅰ 7
12.3%
M 2
 
3.5%
O 2
 
3.5%
G 2
 
3.5%
D 2
 
3.5%
W 1
 
1.8%
Ⅲ 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5117
55.5%
ASCII 4092
44.3%
Number Forms 18
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1665
40.7%
1513
37.0%
, 272
 
6.6%
( 244
 
6.0%
) 244
 
6.0%
- 45
 
1.1%
A 16
 
0.4%
6 14
 
0.3%
B 13
 
0.3%
2 11
 
0.3%
Other values (15) 55
 
1.3%
Hangul
ValueCountFrequency (%)
서 533
 
10.4%
동 288
 
5.6%
강 281
 
5.5%
곡 253
 
4.9%
로 246
 
4.8%
시 243
 
4.7%
울 240
 
4.7%
특 239
 
4.7%
별 239
 
4.7%
구 239
 
4.7%
Other values (178) 2316
45.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 10
55.6%
Ⅰ 7
38.9%
Ⅲ 1
 
5.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)35.2%
Missing19
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean7686.6864
Minimum7504
Maximum7808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-18T09:47:23.910597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7504
5-th percentile7527.75
Q17573
median7716
Q37791.5
95-th percentile7806
Maximum7808
Range304
Interquartile range (IQR)218.5

Descriptive statistics

Standard deviation108.59765
Coefficient of variation (CV)0.014128019
Kurtosis-1.6867431
Mean7686.6864
Median Absolute Deviation (MAD)87
Skewness-0.19627943
Sum1814058
Variance11793.45
MonotonicityNot monotonic
2024-05-18T09:47:24.305181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7788 25
 
9.8%
7802 14
 
5.5%
7631 12
 
4.7%
7803 10
 
3.9%
7807 9
 
3.5%
7806 9
 
3.5%
7801 8
 
3.1%
7569 7
 
2.7%
7573 6
 
2.4%
7522 6
 
2.4%
Other values (73) 130
51.0%
(Missing) 19
 
7.5%
ValueCountFrequency (%)
7504 1
 
0.4%
7516 2
 
0.8%
7522 6
2.4%
7523 1
 
0.4%
7526 1
 
0.4%
7527 1
 
0.4%
7528 3
1.2%
7529 1
 
0.4%
7531 1
 
0.4%
7532 5
2.0%
ValueCountFrequency (%)
7808 1
 
0.4%
7807 9
3.5%
7806 9
3.5%
7805 2
 
0.8%
7803 10
3.9%
7802 14
5.5%
7801 8
3.1%
7798 3
 
1.2%
7794 1
 
0.4%
7793 2
 
0.8%

사업장명
Text

Distinct253
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-18T09:47:24.797757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length15
Mean length8.4627451
Min length2

Characters and Unicode

Total characters2158
Distinct characters339
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

Unique251 ?
Unique (%)98.4%

Sample

1st row비엔지행복을나누는사람들(주)
2nd row월드라인
3rd row우리마켓.net
4th row(주)금화로 바이오
5th row(주)커리코
ValueCountFrequency (%)
주식회사 58
 
17.5%
성지홈쇼핑 2
 
0.6%
주)율도인터내셔널 2
 
0.6%
용닥터몰 1
 
0.3%
주)얼굴반쪽 1
 
0.3%
리딩브랜드컴퍼니 1
 
0.3%
이안컴퍼니 1
 
0.3%
주)바이오컴 1
 
0.3%
비엔지행복을나누는사람들(주 1
 
0.3%
주)뷰티벨 1
 
0.3%
Other values (262) 262
79.2%
2024-05-18T09:47:25.594318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 182
 
8.4%
( 126
 
5.8%
) 126
 
5.8%
이 123
 
5.7%
스 77
 
3.6%
76
 
3.5%
사 72
 
3.3%
식 66
 
3.1%
회 64
 
3.0%
오 34
 
1.6%
Other values (329) 1212
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1760
81.6%
Open Punctuation 126
 
5.8%
Close Punctuation 126
 
5.8%
Space Separator 76
 
3.5%
Uppercase Letter 34
 
1.6%
Lowercase Letter 22
 
1.0%
Other Punctuation 9
 
0.4%
Decimal Number 4
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 182
 
10.3%
이 123
 
7.0%
스 77
 
4.4%
사 72
 
4.1%
식 66
 
3.8%
회 64
 
3.6%
오 34
 
1.9%
바 32
 
1.8%
리 29
 
1.6%
코 26
 
1.5%
Other values (291) 1055
59.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
17.6%
H 4
11.8%
S 4
11.8%
K 3
8.8%
F 3
8.8%
C 2
 
5.9%
L 2
 
5.9%
P 2
 
5.9%
O 2
 
5.9%
M 1
 
2.9%
Other values (5) 5
14.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
t 4
18.2%
o 3
13.6%
a 2
9.1%
h 2
9.1%
m 1
 
4.5%
s 1
 
4.5%
n 1
 
4.5%
r 1
 
4.5%
k 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
3 1
25.0%
9 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 4
44.4%
. 4
44.4%
, 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 126
100.0%
Close Punctuation
ValueCountFrequency (%)
) 126
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1761
81.6%
Common 341
 
15.8%
Latin 56
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 182
 
10.3%
이 123
 
7.0%
스 77
 
4.4%
사 72
 
4.1%
식 66
 
3.7%
회 64
 
3.6%
오 34
 
1.9%
바 32
 
1.8%
리 29
 
1.6%
코 26
 
1.5%
Other values (292) 1056
60.0%
Latin
ValueCountFrequency (%)
B 6
 
10.7%
H 4
 
7.1%
e 4
 
7.1%
t 4
 
7.1%
S 4
 
7.1%
K 3
 
5.4%
o 3
 
5.4%
F 3
 
5.4%
C 2
 
3.6%
L 2
 
3.6%
Other values (17) 21
37.5%
Common
ValueCountFrequency (%)
( 126
37.0%
) 126
37.0%
76
22.3%
& 4
 
1.2%
. 4
 
1.2%
5 1
 
0.3%
3 1
 
0.3%
9 1
 
0.3%
1 1
 
0.3%
, 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1760
81.6%
ASCII 397
 
18.4%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 182
 
10.3%
이 123
 
7.0%
스 77
 
4.4%
사 72
 
4.1%
식 66
 
3.8%
회 64
 
3.6%
오 34
 
1.9%
바 32
 
1.8%
리 29
 
1.6%
코 26
 
1.5%
Other values (291) 1055
59.9%
ASCII
ValueCountFrequency (%)
( 126
31.7%
) 126
31.7%
76
19.1%
B 6
 
1.5%
H 4
 
1.0%
& 4
 
1.0%
e 4
 
1.0%
t 4
 
1.0%
S 4
 
1.0%
. 4
 
1.0%
Other values (27) 39
 
9.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct255
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2004-11-01 00:00:00
Maximum2024-05-14 14:44:01
2024-05-18T09:47:25.847406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:47:26.175354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
U
129 
I
126 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 129
50.6%
I 126
49.4%

Length

2024-05-18T09:47:26.411587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:26.616415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 129
50.6%
i 126
49.4%

데이터갱신일자
Date

Distinct183
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-18T09:47:26.951054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:47:27.377294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
건강기능식품유통전문판매업
255 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 255
100.0%

Length

2024-05-18T09:47:27.782465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:28.081717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 255
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)70.6%
Missing37
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean185897.57
Minimum182376.78
Maximum189084.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-18T09:47:28.389768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182376.78
5-th percentile183532.66
Q1184791.36
median185882.67
Q3187197.47
95-th percentile187917.44
Maximum189084.6
Range6707.8165
Interquartile range (IQR)2406.1097

Descriptive statistics

Standard deviation1396.3911
Coefficient of variation (CV)0.0075116159
Kurtosis-0.64218689
Mean185897.57
Median Absolute Deviation (MAD)1232.3419
Skewness-0.056982078
Sum40525669
Variance1949908.1
MonotonicityNot monotonic
2024-05-18T09:47:28.808426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187197.468812217 4
 
1.6%
187645.622009373 4
 
1.6%
185534.433726889 4
 
1.6%
187917.439597431 4
 
1.6%
184636.53344075 4
 
1.6%
184526.084367975 4
 
1.6%
187682.690357283 4
 
1.6%
184498.0 3
 
1.2%
187340.376012468 3
 
1.2%
185926.715920448 3
 
1.2%
Other values (144) 181
71.0%
(Missing) 37
 
14.5%
ValueCountFrequency (%)
182376.780106464 1
0.4%
182857.528466005 1
0.4%
182883.960042013 1
0.4%
182909.911073945 1
0.4%
183087.143467593 1
0.4%
183200.30073641 1
0.4%
183206.351589223 1
0.4%
183356.918545529 1
0.4%
183382.861571856 2
0.8%
183515.10497574 1
0.4%
ValueCountFrequency (%)
189084.596617589 1
 
0.4%
189036.252426103 1
 
0.4%
189003.872396936 1
 
0.4%
188953.293071222 1
 
0.4%
188237.941732745 1
 
0.4%
187999.32555627 1
 
0.4%
187952.560027898 3
1.2%
187917.439597431 4
1.6%
187875.483372424 1
 
0.4%
187831.720345753 1
 
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct153
Distinct (%)70.2%
Missing37
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean450433.08
Minimum447425.9
Maximum452986.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-18T09:47:29.125296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447425.9
5-th percentile447587.12
Q1449984.31
median450776.17
Q3451515.11
95-th percentile452149.1
Maximum452986.82
Range5560.9183
Interquartile range (IQR)1530.8045

Descriptive statistics

Standard deviation1382.0449
Coefficient of variation (CV)0.0030682579
Kurtosis-0.13926993
Mean450433.08
Median Absolute Deviation (MAD)788.94419
Skewness-0.84432274
Sum98194411
Variance1910048
MonotonicityNot monotonic
2024-05-18T09:47:29.373268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450519.999405521 4
 
1.6%
450792.695579673 4
 
1.6%
452543.271249042 4
 
1.6%
449984.307330522 4
 
1.6%
450143.872075084 4
 
1.6%
451722.650631223 4
 
1.6%
450578.892820906 4
 
1.6%
451786.0 3
 
1.2%
447464.394353482 3
 
1.2%
451787.0 3
 
1.2%
Other values (143) 181
71.0%
(Missing) 37
 
14.5%
ValueCountFrequency (%)
447425.904031542 1
 
0.4%
447447.706246304 2
0.8%
447464.394353482 3
1.2%
447473.147836582 1
 
0.4%
447528.920714023 1
 
0.4%
447558.097935801 1
 
0.4%
447560.106830054 1
 
0.4%
447562.296775876 1
 
0.4%
447591.49715383 1
 
0.4%
447600.476060637 3
1.2%
ValueCountFrequency (%)
452986.82229464 1
 
0.4%
452713.505241493 2
0.8%
452543.271249042 4
1.6%
452456.963629957 1
 
0.4%
452374.104431014 1
 
0.4%
452340.255955496 1
 
0.4%
452149.512190298 1
 
0.4%
452149.024083987 1
 
0.4%
452067.428491277 1
 
0.4%
451995.392162919 1
 
0.4%

위생업태명
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
건강기능식품유통전문판매업
147 
<NA>
108 

Length

Max length13
Median length13
Mean length9.1882353
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강기능식품유통전문판매업 147
57.6%
<NA> 108
42.4%

Length

2024-05-18T09:47:29.618879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:29.792806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강기능식품유통전문판매업 147
57.6%
na 108
42.4%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
236 
0
 
19

Length

Max length4
Median length4
Mean length3.7764706
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> 236
92.5%
0 19
 
7.5%

Length

2024-05-18T09:47:30.220052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:30.446534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 236
92.5%
0 19
 
7.5%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
236 
0
 
19

Length

Max length4
Median length4
Mean length3.7764706
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> 236
92.5%
0 19
 
7.5%

Length

2024-05-18T09:47:30.810833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:31.119645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 236
92.5%
0 19
 
7.5%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
245 
상수도전용
 
10

Length

Max length5
Median length4
Mean length4.0392157
Min length4

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> 245
96.1%
상수도전용 10
 
3.9%

Length

2024-05-18T09:47:31.329296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:31.504570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 245
96.1%
상수도전용 10
 
3.9%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
236 
0
 
19

Length

Max length4
Median length4
Mean length3.7764706
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> 236
92.5%
0 19
 
7.5%

Length

2024-05-18T09:47:31.694710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:31.871454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 236
92.5%
0 19
 
7.5%

본사종업원수
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
221 
0
34 

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 221
86.7%
0 34
 
13.3%

Length

2024-05-18T09:47:32.097198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:32.425662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
86.7%
0 34
 
13.3%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
220 
0
32 
2
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.5882353
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 220
86.3%
0 32
 
12.5%
2 2
 
0.8%
3 1
 
0.4%

Length

2024-05-18T09:47:32.689406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:32.877113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 220
86.3%
0 32
 
12.5%
2 2
 
0.8%
3 1
 
0.4%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
220 
0
34 
1
 
1

Length

Max length4
Median length4
Mean length3.5882353
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 220
86.3%
0 34
 
13.3%
1 1
 
0.4%

Length

2024-05-18T09:47:33.092666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:33.375800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 220
86.3%
0 34
 
13.3%
1 1
 
0.4%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
221 
0
33 
1
 
1

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 221
86.7%
0 33
 
12.9%
1 1
 
0.4%

Length

2024-05-18T09:47:33.662575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:33.850220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 221
86.7%
0 33
 
12.9%
1 1
 
0.4%

건물소유구분명
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
174 
임대
43 
자가
38 

Length

Max length4
Median length4
Mean length3.3647059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 174
68.2%
임대 43
 
16.9%
자가 38
 
14.9%

Length

2024-05-18T09:47:34.153038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:34.503242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 174
68.2%
임대 43
 
16.9%
자가 38
 
14.9%

보증액
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
226 
0
27 
7500000
 
1
5000000
 
1

Length

Max length7
Median length4
Mean length3.7058824
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 226
88.6%
0 27
 
10.6%
7500000 1
 
0.4%
5000000 1
 
0.4%

Length

2024-05-18T09:47:34.947121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:35.254061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 226
88.6%
0 27
 
10.6%
7500000 1
 
0.4%
5000000 1
 
0.4%

월세액
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
<NA>
226 
0
27 
800000
 
1
1050000
 
1

Length

Max length7
Median length4
Mean length3.7019608
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 226
88.6%
0 27
 
10.6%
800000 1
 
0.4%
1050000 1
 
0.4%

Length

2024-05-18T09:47:35.582573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:35.926175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 226
88.6%
0 27
 
10.6%
800000 1
 
0.4%
1050000 1
 
0.4%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.7%
Missing108
Missing (%)42.4%
Memory size642.0 B
False
147 
(Missing)
108 
ValueCountFrequency (%)
False 147
57.6%
(Missing) 108
42.4%
2024-05-18T09:47:36.220909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0.0
146 
<NA>
108 
35.9
 
1

Length

Max length4
Median length3
Mean length3.427451
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 146
57.3%
<NA> 108
42.4%
35.9 1
 
0.4%

Length

2024-05-18T09:47:36.580705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:47:36.928344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 146
57.3%
na 108
42.4%
35.9 1
 
0.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing255
Missing (%)100.0%
Memory size2.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
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개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
24531500003150000-135-2023-000132023-10-26<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>157-793서울특별시 강서구 가양동 **** 가양테크노타운 ****호서울특별시 강서구 허준로 ***, 가양테크노타운 **층 ****호 (가양동)7531자이글 주식회사2023-10-26 17:21:39I2022-10-30 22:08:00.0건강기능식품유통전문판매업187831.720346450994.213237<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24631500003150000-135-2023-000142023-11-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0157-908서울특별시 강서구 화곡동 ***-*서울특별시 강서구 강서로*라길 **, *층 (화곡동)7781유피아이엔티2023-11-02 14:14:55I2022-11-01 00:04:00.0건강기능식품유통전문판매업186718.277212447473.147837<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24731500003150000-135-2023-000152023-11-06<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0157-210서울특별시 강서구 마곡동 ***-** ***-D**호서울특별시 강서구 마곡중앙*로 **, ***-D**호 (마곡동)7807주식회사 네이쳐브릿지2023-11-06 14:59:04I2022-11-01 00:08:00.0건강기능식품유통전문판매업184517.238085450700.675002<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24831500003150000-135-2023-000162023-11-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0157-210서울특별시 강서구 마곡동 ***-* 매그넘***서울특별시 강서구 마곡중앙*로 **, 매그넘*** *층 ***호 (마곡동)7803주식회사 더채운코리아2024-05-01 09:06:25U2023-12-05 00:03:00.0건강기능식품유통전문판매업185340.743671450856.828691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24931500003150000-135-2023-000172023-11-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0157-804서울특별시 강서구 가양동 ***-* 강나루현대아파트 ***동 ***호서울특별시 강서구 양천로 ***, ***동 ***호 (가양동, 강나루현대아파트)7534용닥터몰2023-11-23 09:36:05I2022-10-31 22:05:00.0건강기능식품유통전문판매업187293.138076450951.818187<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25031500003150000-135-2023-000182023-11-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0157-210서울특별시 강서구 마곡동 ***-* 마곡지웰타워 **층 ****~****호서울특별시 강서구 공항대로 ***, 마곡지웰타워 **층 ****~****호 (마곡동)7631플라이삼육오 주식회사2023-11-23 13:08:44I2022-10-31 22:05:00.0건강기능식품유통전문판매업184865.68816450758.165944<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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25231500003150000-135-2024-000012024-01-31<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0157-210서울특별시 강서구 마곡동 ***-* *** **층 ****호서울특별시 강서구 공항대로 ***, *** **층 ****호 (마곡동)7807더블에이치2024-01-31 15:06:20I2023-12-02 00:02:00.0건강기능식품유통전문판매업184572.413912450792.481823<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25331500003150000-135-2024-000022024-02-15<NA>1영업/정상1영업<NA><NA><NA><NA><NA>0.0157-210서울특별시 강서구 마곡동 ***-* 두산더랜드타워 *층 A동 ***호서울특별시 강서구 마곡서로 ***, 두산더랜드타워 A동 *층 ***호 (마곡동)7788주식회사 에스크코퍼레이션2024-02-15 13:25:45I2023-12-01 23:07:00.0건강기능식품유통전문판매업184526.084368451722.650631<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
25431500003150000-135-2024-000032024-04-15<NA>1영업/정상1영업<NA><NA><NA><NA>070754267380.0157-937서울특별시 강서구 내발산동 ***-** 신원메디칼프라자 *층 ***-**호서울특별시 강서구 강서로**길 ***, 신원메디칼프라자 *층 ***-**호 (내발산동)7635닥터바른2024-04-15 13:27:29I2023-12-03 23:07:00.0건강기능식품유통전문판매업184636.533441450143.872075<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>