Overview

Dataset statistics

Number of variables40
Number of observations179
Missing cells1374
Missing cells (%)19.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.8 KiB
Average record size in memory347.7 B

Variable types

Categorical20
Text6
DateTime4
Unsupported6
Numeric4

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),기공용레스수,원심주조기수,기공용모터수,아세틸렌수,치과용프레스수,전기로수,포셀린로수,초음파청소기수,서베이어수,진동기수,트리머수,기공용컴프레서수,샌드기수,진공매몰기수,핀덱스수
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-16472/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
기공용레스수 is highly imbalanced (62.7%)Imbalance
원심주조기수 is highly imbalanced (70.3%)Imbalance
아세틸렌수 is highly imbalanced (59.3%)Imbalance
치과용프레스수 is highly imbalanced (71.6%)Imbalance
초음파청소기수 is highly imbalanced (54.1%)Imbalance
서베이어수 is highly imbalanced (64.5%)Imbalance
진동기수 is highly imbalanced (59.0%)Imbalance
트리머수 is highly imbalanced (67.2%)Imbalance
인허가취소일자 has 179 (100.0%) missing valuesMissing
폐업일자 has 82 (45.8%) missing valuesMissing
휴업시작일자 has 179 (100.0%) missing valuesMissing
휴업종료일자 has 179 (100.0%) missing valuesMissing
재개업일자 has 179 (100.0%) missing valuesMissing
전화번호 has 57 (31.8%) missing valuesMissing
소재지면적 has 179 (100.0%) missing valuesMissing
소재지우편번호 has 58 (32.4%) missing valuesMissing
지번주소 has 4 (2.2%) missing valuesMissing
도로명주소 has 3 (1.7%) missing valuesMissing
도로명우편번호 has 76 (42.5%) missing valuesMissing
업태구분명 has 179 (100.0%) missing valuesMissing
기공용모터수 has 18 (10.1%) 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
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 09:55:42.716174
Analysis finished2024-05-11 09:55:44.339995
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3180000
179 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 179
100.0%

Length

2024-05-11T09:55:44.775826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:55:45.244698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 179
100.0%

관리번호
Text

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T09:55:45.864718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters4475
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)100.0%

Sample

1st rowPHMB319853180034062300001
2nd rowPHMB319883180034062300001
3rd rowPHMB319903180034062300001
4th rowPHMB319913180034062300001
5th rowPHMB319913180034062300002
ValueCountFrequency (%)
phmb319853180034062300001 1
 
0.6%
phmb320103180034062300004 1
 
0.6%
phmb320133180034062300006 1
 
0.6%
phmb320123180034062300008 1
 
0.6%
phmb320123180034062300009 1
 
0.6%
phmb320123180034062300010 1
 
0.6%
phmb320123180034062300011 1
 
0.6%
phmb320133180034062300001 1
 
0.6%
phmb320133180034062300002 1
 
0.6%
phmb320133180034062300003 1
 
0.6%
Other values (169) 169
94.4%
2024-05-11T09:55:47.505116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1498
33.5%
3 753
16.8%
2 408
 
9.1%
1 337
 
7.5%
4 219
 
4.9%
6 208
 
4.6%
8 206
 
4.6%
P 179
 
4.0%
H 179
 
4.0%
M 179
 
4.0%
Other values (4) 309
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3759
84.0%
Uppercase Letter 716
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1498
39.9%
3 753
20.0%
2 408
 
10.9%
1 337
 
9.0%
4 219
 
5.8%
6 208
 
5.5%
8 206
 
5.5%
9 61
 
1.6%
5 36
 
1.0%
7 33
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 179
25.0%
H 179
25.0%
M 179
25.0%
B 179
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3759
84.0%
Latin 716
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1498
39.9%
3 753
20.0%
2 408
 
10.9%
1 337
 
9.0%
4 219
 
5.8%
6 208
 
5.5%
8 206
 
5.5%
9 61
 
1.6%
5 36
 
1.0%
7 33
 
0.9%
Latin
ValueCountFrequency (%)
P 179
25.0%
H 179
25.0%
M 179
25.0%
B 179
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4475
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1498
33.5%
3 753
16.8%
2 408
 
9.1%
1 337
 
7.5%
4 219
 
4.9%
6 208
 
4.6%
8 206
 
4.6%
P 179
 
4.0%
H 179
 
4.0%
M 179
 
4.0%
Other values (4) 309
 
6.9%

인허가일자
Date

Distinct174
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1985-03-29 00:00:00
Maximum2023-11-29 00:00:00
2024-05-11T09:55:48.076111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:55:48.581524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
92 
1
82 
4
 
4
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row3
2nd row1
3rd row1
4th row5
5th row1

Common Values

ValueCountFrequency (%)
3 92
51.4%
1 82
45.8%
4 4
 
2.2%
5 1
 
0.6%

Length

2024-05-11T09:55:49.249864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:55:49.681784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 92
51.4%
1 82
45.8%
4 4
 
2.2%
5 1
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
92 
영업/정상
82 
취소/말소/만료/정지/중지
 
4
제외/삭제/전출
 
1

Length

Max length14
Median length2
Mean length3.6759777
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 92
51.4%
영업/정상 82
45.8%
취소/말소/만료/정지/중지 4
 
2.2%
제외/삭제/전출 1
 
0.6%

Length

2024-05-11T09:55:50.174123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:55:50.730685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 92
51.4%
영업/정상 82
45.8%
취소/말소/만료/정지/중지 4
 
2.2%
제외/삭제/전출 1
 
0.6%

상세영업상태코드
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
92 
13
81 
24
 
4
15
 
1
11
 
1

Length

Max length2
Median length1
Mean length1.4860335
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row3
2nd row13
3rd row13
4th row15
5th row13

Common Values

ValueCountFrequency (%)
3 92
51.4%
13 81
45.3%
24 4
 
2.2%
15 1
 
0.6%
11 1
 
0.6%

Length

2024-05-11T09:55:51.263880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:55:51.680930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 92
51.4%
13 81
45.3%
24 4
 
2.2%
15 1
 
0.6%
11 1
 
0.6%

상세영업상태명
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
폐업
92 
영업중
81 
직권폐업
 
4
전출
 
1
양도양수
 
1

Length

Max length4
Median length2
Mean length2.5083799
Min length2

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 92
51.4%
영업중 81
45.3%
직권폐업 4
 
2.2%
전출 1
 
0.6%
양도양수 1
 
0.6%

Length

2024-05-11T09:55:52.308252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:55:52.745825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 92
51.4%
영업중 81
45.3%
직권폐업 4
 
2.2%
전출 1
 
0.6%
양도양수 1
 
0.6%

폐업일자
Date

MISSING 

Distinct83
Distinct (%)85.6%
Missing82
Missing (%)45.8%
Memory size1.5 KiB
Minimum2004-07-02 00:00:00
Maximum2023-06-20 00:00:00
2024-05-11T09:55:53.120729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:55:53.660832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

전화번호
Text

MISSING 

Distinct120
Distinct (%)98.4%
Missing57
Missing (%)31.8%
Memory size1.5 KiB
2024-05-11T09:55:54.741986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6147541
Min length8

Characters and Unicode

Total characters1173
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

Unique118 ?
Unique (%)96.7%

Sample

1st row843-7125
2nd row2675-2804
3rd row2634-0408
4th row2632-0524
5th row2636-1960
ValueCountFrequency (%)
02-782-2875 2
 
1.6%
2671-3952 2
 
1.6%
753-0602 1
 
0.8%
2676-2879 1
 
0.8%
02-583-6068 1
 
0.8%
02-849-8186 1
 
0.8%
2672-5882 1
 
0.8%
2633-2870 1
 
0.8%
02-822-3506 1
 
0.8%
1644-2880 1
 
0.8%
Other values (110) 110
90.2%
2024-05-11T09:55:56.055131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 226
19.3%
- 161
13.7%
8 134
11.4%
0 121
10.3%
6 119
10.1%
7 90
 
7.7%
4 84
 
7.2%
3 79
 
6.7%
5 61
 
5.2%
1 52
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1012
86.3%
Dash Punctuation 161
 
13.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 226
22.3%
8 134
13.2%
0 121
12.0%
6 119
11.8%
7 90
 
8.9%
4 84
 
8.3%
3 79
 
7.8%
5 61
 
6.0%
1 52
 
5.1%
9 46
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 226
19.3%
- 161
13.7%
8 134
11.4%
0 121
10.3%
6 119
10.1%
7 90
 
7.7%
4 84
 
7.2%
3 79
 
6.7%
5 61
 
5.2%
1 52
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 226
19.3%
- 161
13.7%
8 134
11.4%
0 121
10.3%
6 119
10.1%
7 90
 
7.7%
4 84
 
7.2%
3 79
 
6.7%
5 61
 
5.2%
1 52
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

소재지우편번호
Text

MISSING 

Distinct57
Distinct (%)47.1%
Missing58
Missing (%)32.4%
Memory size1.5 KiB
2024-05-11T09:55:56.755226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0247934
Min length6

Characters and Unicode

Total characters729
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

Unique32 ?
Unique (%)26.4%

Sample

1st row150050
2nd row150800
3rd row150-041
4th row150809
5th row150041
ValueCountFrequency (%)
150042 6
 
5.0%
150101 6
 
5.0%
150050 6
 
5.0%
150043 6
 
5.0%
150800 5
 
4.1%
150041 5
 
4.1%
150071 5
 
4.1%
150839 5
 
4.1%
150035 4
 
3.3%
150070 4
 
3.3%
Other values (47) 69
57.0%
2024-05-11T09:55:57.892837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 238
32.6%
1 161
22.1%
5 143
19.6%
8 48
 
6.6%
4 38
 
5.2%
3 35
 
4.8%
7 17
 
2.3%
6 17
 
2.3%
2 15
 
2.1%
9 14
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 726
99.6%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 238
32.8%
1 161
22.2%
5 143
19.7%
8 48
 
6.6%
4 38
 
5.2%
3 35
 
4.8%
7 17
 
2.3%
6 17
 
2.3%
2 15
 
2.1%
9 14
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 729
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 238
32.6%
1 161
22.1%
5 143
19.6%
8 48
 
6.6%
4 38
 
5.2%
3 35
 
4.8%
7 17
 
2.3%
6 17
 
2.3%
2 15
 
2.1%
9 14
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 729
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 238
32.6%
1 161
22.1%
5 143
19.6%
8 48
 
6.6%
4 38
 
5.2%
3 35
 
4.8%
7 17
 
2.3%
6 17
 
2.3%
2 15
 
2.1%
9 14
 
1.9%

지번주소
Text

MISSING 

Distinct163
Distinct (%)93.1%
Missing4
Missing (%)2.2%
Memory size1.5 KiB
2024-05-11T09:55:58.904391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length27.022857
Min length19

Characters and Unicode

Total characters4729
Distinct characters130
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)87.4%

Sample

1st row서울특별시 영등포구 신길동 44번지 3호
2nd row서울특별시 영등포구 당산동 121-150 4층
3rd row서울특별시 영등포구 당산동1가 86번지
4th row서울특별시 영등포구 당산동1가 184번지
5th row서울특별시 영등포구 당산동6가 293번지 2호 2층
ValueCountFrequency (%)
서울특별시 175
 
18.5%
영등포구 174
 
18.4%
2층 22
 
2.3%
신길동 20
 
2.1%
1호 18
 
1.9%
당산동1가 15
 
1.6%
대림동 13
 
1.4%
양평동1가 11
 
1.2%
2호 10
 
1.1%
3호 10
 
1.1%
Other values (268) 478
50.5%
2024-05-11T09:56:00.242871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
779
 
16.5%
영 201
 
4.3%
등 196
 
4.1%
포 196
 
4.1%
1 192
 
4.1%
시 178
 
3.8%
동 177
 
3.7%
서 176
 
3.7%
구 176
 
3.7%
울 176
 
3.7%
Other values (120) 2282
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2962
62.6%
Decimal Number 960
 
20.3%
Space Separator 779
 
16.5%
Dash Punctuation 20
 
0.4%
Uppercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 201
 
6.8%
등 196
 
6.6%
포 196
 
6.6%
시 178
 
6.0%
동 177
 
6.0%
서 176
 
5.9%
구 176
 
5.9%
울 176
 
5.9%
별 175
 
5.9%
특 175
 
5.9%
Other values (101) 1136
38.4%
Decimal Number
ValueCountFrequency (%)
1 192
20.0%
2 167
17.4%
3 121
12.6%
4 116
12.1%
0 75
 
7.8%
5 73
 
7.6%
6 68
 
7.1%
9 55
 
5.7%
7 50
 
5.2%
8 43
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
A 1
25.0%
I 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
@ 1
33.3%
Space Separator
ValueCountFrequency (%)
779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2962
62.6%
Common 1762
37.3%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 201
 
6.8%
등 196
 
6.6%
포 196
 
6.6%
시 178
 
6.0%
동 177
 
6.0%
서 176
 
5.9%
구 176
 
5.9%
울 176
 
5.9%
별 175
 
5.9%
특 175
 
5.9%
Other values (101) 1136
38.4%
Common
ValueCountFrequency (%)
779
44.2%
1 192
 
10.9%
2 167
 
9.5%
3 121
 
6.9%
4 116
 
6.6%
0 75
 
4.3%
5 73
 
4.1%
6 68
 
3.9%
9 55
 
3.1%
7 50
 
2.8%
Other values (4) 66
 
3.7%
Latin
ValueCountFrequency (%)
T 1
20.0%
A 1
20.0%
I 1
20.0%
B 1
20.0%
Ⅱ 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2962
62.6%
ASCII 1766
37.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
779
44.1%
1 192
 
10.9%
2 167
 
9.5%
3 121
 
6.9%
4 116
 
6.6%
0 75
 
4.2%
5 73
 
4.1%
6 68
 
3.9%
9 55
 
3.1%
7 50
 
2.8%
Other values (8) 70
 
4.0%
Hangul
ValueCountFrequency (%)
영 201
 
6.8%
등 196
 
6.6%
포 196
 
6.6%
시 178
 
6.0%
동 177
 
6.0%
서 176
 
5.9%
구 176
 
5.9%
울 176
 
5.9%
별 175
 
5.9%
특 175
 
5.9%
Other values (101) 1136
38.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소
Text

MISSING 

Distinct165
Distinct (%)93.8%
Missing3
Missing (%)1.7%
Memory size1.5 KiB
2024-05-11T09:56:01.232954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length32.147727
Min length22

Characters and Unicode

Total characters5658
Distinct characters151
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

Unique156 ?
Unique (%)88.6%

Sample

1st row서울특별시 영등포구 영등포로60길 11 (신길동)
2nd row서울특별시 영등포구 버드나루로14가길 24, 대한결핵협회 4층 (당산동)
3rd row서울특별시 영등포구 영신로37길 1 (당산동1가)
4th row서울특별시 영등포구 영신로41길 2 (당산동1가)
5th row서울특별시 영등포구 당산로50길 4, 2층 (당산동6가)
ValueCountFrequency (%)
서울특별시 176
 
17.2%
영등포구 175
 
17.1%
신길동 27
 
2.6%
2층 24
 
2.4%
대림동 23
 
2.3%
당산동1가 14
 
1.4%
영등포로 13
 
1.3%
3층 11
 
1.1%
영등포동5가 10
 
1.0%
양평동1가 10
 
1.0%
Other values (309) 538
52.7%
2024-05-11T09:56:02.774847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
845
 
14.9%
영 253
 
4.5%
등 225
 
4.0%
포 225
 
4.0%
1 214
 
3.8%
2 188
 
3.3%
동 182
 
3.2%
시 180
 
3.2%
서 177
 
3.1%
로 177
 
3.1%
Other values (141) 2992
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3340
59.0%
Decimal Number 949
 
16.8%
Space Separator 845
 
14.9%
Close Punctuation 176
 
3.1%
Open Punctuation 176
 
3.1%
Other Punctuation 122
 
2.2%
Dash Punctuation 46
 
0.8%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 253
 
7.6%
등 225
 
6.7%
포 225
 
6.7%
동 182
 
5.4%
시 180
 
5.4%
서 177
 
5.3%
로 177
 
5.3%
울 177
 
5.3%
구 177
 
5.3%
특 176
 
5.3%
Other values (121) 1391
41.6%
Decimal Number
ValueCountFrequency (%)
1 214
22.6%
2 188
19.8%
3 128
13.5%
4 93
9.8%
0 78
 
8.2%
5 65
 
6.8%
6 61
 
6.4%
7 50
 
5.3%
8 42
 
4.4%
9 30
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
I 1
25.0%
T 1
25.0%
A 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 121
99.2%
@ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
845
100.0%
Close Punctuation
ValueCountFrequency (%)
) 176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3340
59.0%
Common 2314
40.9%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 253
 
7.6%
등 225
 
6.7%
포 225
 
6.7%
동 182
 
5.4%
시 180
 
5.4%
서 177
 
5.3%
로 177
 
5.3%
울 177
 
5.3%
구 177
 
5.3%
특 176
 
5.3%
Other values (121) 1391
41.6%
Common
ValueCountFrequency (%)
845
36.5%
1 214
 
9.2%
2 188
 
8.1%
) 176
 
7.6%
( 176
 
7.6%
3 128
 
5.5%
, 121
 
5.2%
4 93
 
4.0%
0 78
 
3.4%
5 65
 
2.8%
Other values (6) 230
 
9.9%
Latin
ValueCountFrequency (%)
B 1
25.0%
I 1
25.0%
T 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3340
59.0%
ASCII 2318
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
845
36.5%
1 214
 
9.2%
2 188
 
8.1%
) 176
 
7.6%
( 176
 
7.6%
3 128
 
5.5%
, 121
 
5.2%
4 93
 
4.0%
0 78
 
3.4%
5 65
 
2.8%
Other values (10) 234
 
10.1%
Hangul
ValueCountFrequency (%)
영 253
 
7.6%
등 225
 
6.7%
포 225
 
6.7%
동 182
 
5.4%
시 180
 
5.4%
서 177
 
5.3%
로 177
 
5.3%
울 177
 
5.3%
구 177
 
5.3%
특 176
 
5.3%
Other values (121) 1391
41.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)70.9%
Missing76
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean33775.398
Minimum7202
Maximum152744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T09:56:03.582388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7202
5-th percentile7217
Q17265.5
median7328
Q37429
95-th percentile150841.7
Maximum152744
Range145542
Interquartile range (IQR)163.5

Descriptive statistics

Standard deviation55914.278
Coefficient of variation (CV)1.6554736
Kurtosis0.74076303
Mean33775.398
Median Absolute Deviation (MAD)78
Skewness1.6512476
Sum3478866
Variance3.1264065 × 109
MonotonicityNot monotonic
2024-05-11T09:56:04.299736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7250 6
 
3.4%
7316 3
 
1.7%
7430 3
 
1.7%
150839 3
 
1.7%
7266 3
 
1.7%
7282 3
 
1.7%
7352 3
 
1.7%
7262 3
 
1.7%
7217 2
 
1.1%
150842 2
 
1.1%
Other values (63) 72
40.2%
(Missing) 76
42.5%
ValueCountFrequency (%)
7202 1
0.6%
7206 1
0.6%
7207 1
0.6%
7208 1
0.6%
7212 1
0.6%
7217 2
1.1%
7220 1
0.6%
7223 2
1.1%
7226 1
0.6%
7230 2
1.1%
ValueCountFrequency (%)
152744 1
 
0.6%
150874 2
1.1%
150867 1
 
0.6%
150842 2
1.1%
150839 3
1.7%
150825 1
 
0.6%
150809 1
 
0.6%
150804 1
 
0.6%
150800 2
1.1%
150752 1
 
0.6%

사업장명
Text

Distinct171
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-11T09:56:05.001126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length7.8826816
Min length3

Characters and Unicode

Total characters1411
Distinct characters215
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

Unique163 ?
Unique (%)91.1%

Sample

1st row비타민치과기공소
2nd row국제아트뷰치과기공소
3rd row건양치과기공소
4th row서울덴탈랩
5th row하나치과기공소
ValueCountFrequency (%)
엘앤지치과기공소 2
 
1.1%
아트치과기공소 2
 
1.1%
lab 2
 
1.1%
본치과기공소 2
 
1.1%
반석치과기공소 2
 
1.1%
dental 2
 
1.1%
가람치과기공소 2
 
1.1%
아트덴트 2
 
1.1%
나눔치과기공소 2
 
1.1%
썬랩치과기공소 2
 
1.1%
Other values (165) 165
89.2%
2024-05-11T09:56:06.230707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 173
 
12.3%
기 172
 
12.2%
공 171
 
12.1%
치 170
 
12.0%
과 168
 
11.9%
이 35
 
2.5%
스 26
 
1.8%
트 19
 
1.3%
덴 17
 
1.2%
아 15
 
1.1%
Other values (205) 445
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1365
96.7%
Lowercase Letter 24
 
1.7%
Uppercase Letter 11
 
0.8%
Space Separator 6
 
0.4%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 173
12.7%
기 172
12.6%
공 171
12.5%
치 170
12.5%
과 168
12.3%
이 35
 
2.6%
스 26
 
1.9%
트 19
 
1.4%
덴 17
 
1.2%
아 15
 
1.1%
Other values (184) 399
29.2%
Lowercase Letter
ValueCountFrequency (%)
a 6
25.0%
e 5
20.8%
n 3
12.5%
l 3
12.5%
b 2
 
8.3%
t 2
 
8.3%
r 1
 
4.2%
y 1
 
4.2%
d 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
27.3%
D 2
18.2%
A 1
 
9.1%
B 1
 
9.1%
E 1
 
9.1%
G 1
 
9.1%
K 1
 
9.1%
J 1
 
9.1%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1365
96.7%
Latin 35
 
2.5%
Common 11
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 173
12.7%
기 172
12.6%
공 171
12.5%
치 170
12.5%
과 168
12.3%
이 35
 
2.6%
스 26
 
1.9%
트 19
 
1.4%
덴 17
 
1.2%
아 15
 
1.1%
Other values (184) 399
29.2%
Latin
ValueCountFrequency (%)
a 6
17.1%
e 5
14.3%
n 3
8.6%
l 3
8.6%
L 3
8.6%
b 2
 
5.7%
t 2
 
5.7%
D 2
 
5.7%
A 1
 
2.9%
B 1
 
2.9%
Other values (7) 7
20.0%
Common
ValueCountFrequency (%)
6
54.5%
( 2
 
18.2%
) 2
 
18.2%
3 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1365
96.7%
ASCII 46
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 173
12.7%
기 172
12.6%
공 171
12.5%
치 170
12.5%
과 168
12.3%
이 35
 
2.6%
스 26
 
1.9%
트 19
 
1.4%
덴 17
 
1.2%
아 15
 
1.1%
Other values (184) 399
29.2%
ASCII
ValueCountFrequency (%)
a 6
13.0%
6
13.0%
e 5
10.9%
n 3
 
6.5%
l 3
 
6.5%
L 3
 
6.5%
( 2
 
4.3%
) 2
 
4.3%
b 2
 
4.3%
t 2
 
4.3%
Other values (11) 12
26.1%

최종수정일자
Date

UNIQUE 

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2010-02-23 22:34:34
Maximum2024-04-08 20:15:53
2024-05-11T09:56:06.893103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:56:07.420453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
I
136 
U
43 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 136
76.0%
U 43
 
24.0%

Length

2024-05-11T09:56:07.834460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:08.184431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 136
76.0%
u 43
 
24.0%

데이터갱신일자
Date

Distinct57
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:00:00
2024-05-11T09:56:08.668683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:56:09.273121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing179
Missing (%)100.0%
Memory size1.7 KiB

좌표정보(X)
Real number (ℝ)

Distinct133
Distinct (%)74.7%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean191333.91
Minimum187740.66
Maximum193896.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T09:56:09.973364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187740.66
5-th percentile190152.42
Q1190782.81
median191118.71
Q3191919.12
95-th percentile192844.7
Maximum193896.28
Range6155.6252
Interquartile range (IQR)1136.3119

Descriptive statistics

Standard deviation905.8512
Coefficient of variation (CV)0.0047343998
Kurtosis0.7940146
Mean191333.91
Median Absolute Deviation (MAD)528.81318
Skewness0.19455226
Sum34057435
Variance820566.4
MonotonicityNot monotonic
2024-05-11T09:56:10.598998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191654.941895248 6
 
3.4%
190287.508212775 4
 
2.2%
192636.733285481 4
 
2.2%
192829.894086942 4
 
2.2%
192618.727963165 3
 
1.7%
189849.410292461 3
 
1.7%
190828.268143013 3
 
1.7%
191443.449564349 3
 
1.7%
191006.184800601 3
 
1.7%
191031.927735122 3
 
1.7%
Other values (123) 142
79.3%
ValueCountFrequency (%)
187740.656891125 1
 
0.6%
189752.485346262 1
 
0.6%
189849.410292461 3
1.7%
189959.044020878 2
1.1%
190140.780629655 1
 
0.6%
190148.374147923 1
 
0.6%
190153.128546656 1
 
0.6%
190169.842951663 1
 
0.6%
190181.367191161 1
 
0.6%
190217.705071932 1
 
0.6%
ValueCountFrequency (%)
193896.282065175 2
1.1%
193437.233759373 1
 
0.6%
192960.17765625 1
 
0.6%
192877.958183893 2
1.1%
192876.550387955 2
1.1%
192848.058609264 1
 
0.6%
192844.105439729 1
 
0.6%
192829.894086942 4
2.2%
192818.271681452 1
 
0.6%
192712.769279545 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct133
Distinct (%)74.7%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean445992.63
Minimum442950.29
Maximum453139.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T09:56:11.010830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442950.29
5-th percentile443612.29
Q1445114.03
median446389.69
Q3446792.83
95-th percentile448169.58
Maximum453139.82
Range10189.53
Interquartile range (IQR)1678.801

Descriptive statistics

Standard deviation1473.1381
Coefficient of variation (CV)0.0033030549
Kurtosis1.9740311
Mean445992.63
Median Absolute Deviation (MAD)801.47594
Skewness0.27207378
Sum79386688
Variance2170136
MonotonicityNot monotonic
2024-05-11T09:56:11.442628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446521.92294039 6
 
3.4%
446555.257222304 4
 
2.2%
447145.450291822 4
 
2.2%
445724.640562683 4
 
2.2%
445620.613394364 3
 
1.7%
446314.681885687 3
 
1.7%
445548.79737092 3
 
1.7%
443692.779644975 3
 
1.7%
446657.548787971 3
 
1.7%
443665.206911515 3
 
1.7%
Other values (123) 142
79.3%
ValueCountFrequency (%)
442950.2893204 1
 
0.6%
443171.404932451 1
 
0.6%
443258.537431413 1
 
0.6%
443376.987146614 1
 
0.6%
443529.736225286 2
1.1%
443538.520261229 1
 
0.6%
443570.443536531 1
 
0.6%
443607.617079965 1
 
0.6%
443613.111599803 1
 
0.6%
443665.206911515 3
1.7%
ValueCountFrequency (%)
453139.818835539 1
0.6%
448779.57454276 1
0.6%
448495.395437399 1
0.6%
448423.920292167 1
0.6%
448297.965320631 1
0.6%
448292.240959064 1
0.6%
448226.165616883 1
0.6%
448223.495619053 1
0.6%
448204.786332547 1
0.6%
448163.362195306 1
0.6%

기공용레스수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
158 
<NA>
18 
2
 
3

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 158
88.3%
<NA> 18
 
10.1%
2 3
 
1.7%

Length

2024-05-11T09:56:11.826784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:12.154091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 158
88.3%
na 18
 
10.1%
2 3
 
1.7%

원심주조기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
156 
<NA>
18 
2
 
3
10
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.3072626
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row1
2nd row2
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 156
87.2%
<NA> 18
 
10.1%
2 3
 
1.7%
10 1
 
0.6%
4 1
 
0.6%

Length

2024-05-11T09:56:12.500833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:12.834404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 156
87.2%
na 18
 
10.1%
2 3
 
1.7%
10 1
 
0.6%
4 1
 
0.6%

기공용모터수
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)6.8%
Missing18
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.9689441
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-11T09:56:13.180414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile6
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0323089
Coefficient of variation (CV)0.68452246
Kurtosis31.545024
Mean2.9689441
Median Absolute Deviation (MAD)0
Skewness4.5889416
Sum478
Variance4.1302795
MonotonicityNot monotonic
2024-05-11T09:56:13.545016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 91
50.8%
3 38
21.2%
5 12
 
6.7%
6 6
 
3.4%
4 5
 
2.8%
1 3
 
1.7%
9 2
 
1.1%
20 1
 
0.6%
7 1
 
0.6%
10 1
 
0.6%
(Missing) 18
 
10.1%
ValueCountFrequency (%)
1 3
 
1.7%
2 91
50.8%
3 38
21.2%
4 5
 
2.8%
5 12
 
6.7%
6 6
 
3.4%
7 1
 
0.6%
8 1
 
0.6%
9 2
 
1.1%
10 1
 
0.6%
ValueCountFrequency (%)
20 1
 
0.6%
10 1
 
0.6%
9 2
 
1.1%
8 1
 
0.6%
7 1
 
0.6%
6 6
 
3.4%
5 12
 
6.7%
4 5
 
2.8%
3 38
21.2%
2 91
50.8%

아세틸렌수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
151 
<NA>
18 
0
 
8
2
 
2

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 151
84.4%
<NA> 18
 
10.1%
0 8
 
4.5%
2 2
 
1.1%

Length

2024-05-11T09:56:13.983562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:14.405176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 151
84.4%
na 18
 
10.1%
0 8
 
4.5%
2 2
 
1.1%

치과용프레스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
159 
<NA>
18 
2
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row1
2nd row1
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 159
88.8%
<NA> 18
 
10.1%
2 1
 
0.6%
3 1
 
0.6%

Length

2024-05-11T09:56:14.704444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:14.927666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 159
88.8%
na 18
 
10.1%
2 1
 
0.6%
3 1
 
0.6%

전기로수
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
133 
2
22 
<NA>
18 
3
 
5
4
 
1

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row3
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 133
74.3%
2 22
 
12.3%
<NA> 18
 
10.1%
3 5
 
2.8%
4 1
 
0.6%

Length

2024-05-11T09:56:15.200238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:15.503969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 133
74.3%
2 22
 
12.3%
na 18
 
10.1%
3 5
 
2.8%
4 1
 
0.6%

포셀린로수
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
125 
2
28 
<NA>
18 
3
 
7
6
 
1

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row6
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 125
69.8%
2 28
 
15.6%
<NA> 18
 
10.1%
3 7
 
3.9%
6 1
 
0.6%

Length

2024-05-11T09:56:15.826499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:16.119653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 125
69.8%
2 28
 
15.6%
na 18
 
10.1%
3 7
 
3.9%
6 1
 
0.6%

초음파청소기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
153 
<NA>
18 
2
 
8

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 153
85.5%
<NA> 18
 
10.1%
2 8
 
4.5%

Length

2024-05-11T09:56:16.407418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:16.654840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 153
85.5%
na 18
 
10.1%
2 8
 
4.5%

서베이어수
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
151 
<NA>
18 
2
 
8
4
 
1
3
 
1

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st row1
2nd row2
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 151
84.4%
<NA> 18
 
10.1%
2 8
 
4.5%
4 1
 
0.6%
3 1
 
0.6%

Length

2024-05-11T09:56:17.012156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:17.286808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 151
84.4%
na 18
 
10.1%
2 8
 
4.5%
4 1
 
0.6%
3 1
 
0.6%

진동기수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
156 
<NA>
18 
2
 
5

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 156
87.2%
<NA> 18
 
10.1%
2 5
 
2.8%

Length

2024-05-11T09:56:17.588456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:17.897699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 156
87.2%
na 18
 
10.1%
2 5
 
2.8%

트리머수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
160 
<NA>
18 
2
 
1

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row1
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 160
89.4%
<NA> 18
 
10.1%
2 1
 
0.6%

Length

2024-05-11T09:56:18.302461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:18.722531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 160
89.4%
na 18
 
10.1%
2 1
 
0.6%

기공용컴프레서수
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
102 
0
49 
<NA>
18 
2
 
9
3
 
1

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row1
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 102
57.0%
0 49
27.4%
<NA> 18
 
10.1%
2 9
 
5.0%
3 1
 
0.6%

Length

2024-05-11T09:56:19.108355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:19.480704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
57.0%
0 49
27.4%
na 18
 
10.1%
2 9
 
5.0%
3 1
 
0.6%

샌드기수
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
95 
0
49 
<NA>
18 
2
14 
3
 
3

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 95
53.1%
0 49
27.4%
<NA> 18
 
10.1%
2 14
 
7.8%
3 3
 
1.7%

Length

2024-05-11T09:56:20.055223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:20.480939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 95
53.1%
0 49
27.4%
na 18
 
10.1%
2 14
 
7.8%
3 3
 
1.7%

진공매몰기수
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
107 
0
49 
<NA>
18 
2
 
4
3
 
1

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1
2nd row1
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 107
59.8%
0 49
27.4%
<NA> 18
 
10.1%
2 4
 
2.2%
3 1
 
0.6%

Length

2024-05-11T09:56:20.982159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:21.334162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 107
59.8%
0 49
27.4%
na 18
 
10.1%
2 4
 
2.2%
3 1
 
0.6%

핀덱스수
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
111 
0
50 
<NA>
18 

Length

Max length4
Median length1
Mean length1.301676
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
1 111
62.0%
0 50
27.9%
<NA> 18
 
10.1%

Length

2024-05-11T09:56:21.706847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:56:22.457999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 111
62.0%
0 50
27.9%
na 18
 
10.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03180000PHMB31985318003406230000119850329<NA>3폐업3폐업20131112<NA><NA><NA>843-7125<NA>150050서울특별시 영등포구 신길동 44번지 3호서울특별시 영등포구 영등포로60길 11 (신길동)<NA>비타민치과기공소2013-11-12 13:30:38I2018-08-31 23:59:59.0<NA>192562.529141446026.468441112111111111111
13180000PHMB31988318003406230000119880202<NA>1영업/정상13영업중<NA><NA><NA><NA>2675-2804<NA><NA>서울특별시 영등포구 당산동 121-150 4층서울특별시 영등포구 버드나루로14가길 24, 대한결핵협회 4층 (당산동)7230국제아트뷰치과기공소2021-06-28 15:05:21U2021-06-30 02:40:00.0<NA>191924.906782447255.3275561220113612111311
23180000PHMB31990318003406230000119901027<NA>1영업/정상13영업중<NA><NA><NA><NA>2634-0408<NA>150800서울특별시 영등포구 당산동1가 86번지서울특별시 영등포구 영신로37길 1 (당산동1가)7267건양치과기공소2011-06-22 09:48:29I2018-08-31 23:59:59.0<NA>191155.870982446538.65171112111111110000
33180000PHMB3199131800340623000011991-05-07<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>2632-0524<NA>150-041서울특별시 영등포구 당산동1가 184번지서울특별시 영등포구 영신로41길 2 (당산동1가)<NA>서울덴탈랩2023-05-03 09:06:39U2022-12-05 00:05:00.0<NA>191190.57674446639.284438<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43180000PHMB31991318003406230000219910831<NA>1영업/정상13영업중<NA><NA><NA><NA>2636-1960<NA>150809서울특별시 영등포구 당산동6가 293번지 2호 2층서울특별시 영등포구 당산로50길 4, 2층 (당산동6가)7223하나치과기공소2014-07-21 11:17:56I2018-08-31 23:59:59.0<NA>191385.54888448069.926549112111111111111
53180000PHMB31992318003406230000119921031<NA>1영업/정상13영업중<NA><NA><NA><NA>2634-1922<NA>150041서울특별시 영등포구 당산동1가 158번지 8호서울특별시 영등포구 영신로39길 8-1 (당산동1가)<NA>경원치과기공소2011-06-22 10:08:53I2018-08-31 23:59:59.0<NA>191120.591251446610.699914112111111110000
63180000PHMB31992318003406230000219921212<NA>1영업/정상13영업중<NA><NA><NA><NA>2631-0814<NA>150042서울특별시 영등포구 당산동2가 161번지 6호서울특별시 영등포구 양산로 90-1 (당산동2가)<NA>실로암치과기공소2011-06-22 10:11:22I2018-08-31 23:59:59.0<NA>190477.892711446911.481587112111111110000
73180000PHMB31993318003406230000119931027<NA>1영업/정상13영업중<NA><NA><NA><NA>848-1995<NA>150073서울특별시 영등포구 대림3동 734번지 1호서울특별시 영등포구 대림로31나길 20 (대림동)<NA>영진치과기공소2011-06-22 10:14:36I2018-08-31 23:59:59.0<NA>190809.167568443871.733511112111111110000
83180000PHMB31994318003406230000119940709<NA>3폐업3폐업20110315<NA><NA><NA>835-8709<NA>150051서울특별시 영등포구 신길1동 110번지 3호<NA><NA>민주치과기공소2011-06-22 10:16:11I2018-08-31 23:59:59.0<NA><NA><NA>112111111110000
93180000PHMB31994318003406230000219941223<NA>3폐업3폐업20120313<NA><NA><NA>2679-1090<NA>150036서울특별시 영등포구 영등포동6가 138번지 1호서울특별시 영등포구 영등포로33길 23 (영등포동6가)<NA>새한강치과기공소2012-03-13 13:14:37I2018-08-31 23:59:59.0<NA>191340.083072446707.850779112111111111111
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
1693180000PHMB3202131800340623000042011-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>2062-0038<NA><NA>서울특별시 영등포구 문래동6가 24-1 에이스하이테크시티2서울특별시 영등포구 선유로13길 25, 에이스하이테크시티2 1001호 (문래동6가)7282이스토리치과기공소2023-07-06 15:13:07U2022-12-07 00:08:00.0<NA>189849.410292446314.681886<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1703180000PHMB32021318003406230000520210726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 도림로31길 2, 2층 (대림동)7415탑티어치과기공소2021-07-28 09:05:20I2021-07-30 00:22:51.0<NA>190726.421382443376.987147112111111111111
1713180000PHMB32021318003406230000620210806<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 도신로65길 1(신길동)7316우상치과기공소2021-08-06 17:11:36I2021-08-08 00:22:51.0<NA>192618.727963445620.613394114112211111221
1723180000PHMB32021318003406230000720211001<NA>1영업/정상13영업중<NA><NA><NA><NA>02-782-2875<NA><NA>서울특별시 영등포구 여의도동 43-4 롯데캐슬 아이비서울특별시 영등포구 국제금융로 86, B1층 5호 (여의도동, 롯데캐슬 아이비)7333아트덴트2021-10-01 16:10:41I2021-10-03 00:22:47.0<NA>193896.282065446442.571421141012211112110
1733180000PHMB32022318003406230000120220607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 3741-41서울특별시 영등포구 대방천로 179, 3층 (신길동)7430이담치과기공소2022-06-08 15:25:42I2021-12-05 23:00:00.0<NA>192052.874633444126.786719<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1743180000PHMB32022318003406230000220220726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 경인로 888-4(영등포동1가)7306송덴탈랩2022-07-26 16:02:38I2021-12-06 22:08:00.0<NA>192086.697121446149.846887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1753180000PHMB32022318003406230000320221005<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 영등포구 신길동 442-105서울특별시 영등포구 대방천로 150, 202호 (신길동)7425가지런e치과기공소2022-10-05 17:07:37I2021-10-31 00:07:00.0<NA>191736.33259444119.531622<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1763180000PHMB32022318003406230000420141030<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2647-2807<NA><NA>서울특별시 영등포구 문래동6가 24-1 에이스하이테크시티2서울특별시 영등포구 선유로13길 25, 에이스하이테크시티2 7층 713호 (문래동6가)7282청담치과기공소2022-12-28 10:56:05I2021-11-01 21:00:00.0<NA>189849.410292446314.681886<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1773180000PHMB3202331800340623000012017-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-541-2804<NA><NA>서울특별시 영등포구 당산동4가 74-2 금강 펜테리움 IT타워서울특별시 영등포구 당산로 171, 금강 펜테리움 IT타워 15층 1501호 (당산동4가)7217본치과기공소2023-03-30 09:58:44I2022-12-04 00:01:00.0<NA>190926.607527447510.554086<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1783180000PHMB3202331800340623000022023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-822-2808<NA><NA>서울특별시 영등포구 신길동 3741-41서울특별시 영등포구 대방천로 179, 2층 (신길동)7430브이아이피치과기공소2023-11-29 14:32:26I2022-11-02 00:01:00.0<NA>192052.874633444126.786719<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>