Overview

Dataset statistics

Number of variables40
Number of observations44
Missing cells342
Missing cells (%)19.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory350.0 B

Variable types

Categorical21
Text6
DateTime3
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16456/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 44 (100.0%) missing valuesMissing
폐업일자 has 22 (50.0%) missing valuesMissing
휴업시작일자 has 44 (100.0%) missing valuesMissing
휴업종료일자 has 44 (100.0%) missing valuesMissing
재개업일자 has 44 (100.0%) missing valuesMissing
전화번호 has 16 (36.4%) missing valuesMissing
소재지면적 has 44 (100.0%) missing valuesMissing
소재지우편번호 has 13 (29.5%) missing valuesMissing
지번주소 has 4 (9.1%) missing valuesMissing
도로명주소 has 6 (13.6%) missing valuesMissing
도로명우편번호 has 6 (13.6%) missing valuesMissing
업태구분명 has 44 (100.0%) missing valuesMissing
기공용모터수 has 11 (25.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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 started2024-04-06 10:48:25.716902
Analysis finished2024-04-06 10:48:26.407534
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
3020000
44 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 44
100.0%

Length

2024-04-06T19:48:26.539896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:26.702042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 44
100.0%

관리번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T19:48:27.017172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1100
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

Unique44 ?
Unique (%)100.0%

Sample

1st rowPHMB319763020033062300001
2nd rowPHMB319883020033062300001
3rd rowPHMB319913020033062300001
4th rowPHMB319923020033062300001
5th rowPHMB319933020033062300001
ValueCountFrequency (%)
phmb319763020033062300001 1
 
2.3%
phmb319883020033062300001 1
 
2.3%
phmb320133020033062300001 1
 
2.3%
phmb320113020033062300003 1
 
2.3%
phmb320113020033062300004 1
 
2.3%
phmb320113020033062300005 1
 
2.3%
phmb320123020033062300001 1
 
2.3%
phmb320123020033062300002 1
 
2.3%
phmb320123020033062300003 1
 
2.3%
phmb320123020033062300004 1
 
2.3%
Other values (34) 34
77.3%
2024-04-06T19:48:27.571584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 398
36.2%
3 229
20.8%
2 143
 
13.0%
1 61
 
5.5%
6 51
 
4.6%
P 44
 
4.0%
H 44
 
4.0%
M 44
 
4.0%
B 44
 
4.0%
9 21
 
1.9%
Other values (4) 21
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 924
84.0%
Uppercase Letter 176
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 398
43.1%
3 229
24.8%
2 143
 
15.5%
1 61
 
6.6%
6 51
 
5.5%
9 21
 
2.3%
8 7
 
0.8%
5 6
 
0.6%
7 4
 
0.4%
4 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 44
25.0%
H 44
25.0%
M 44
25.0%
B 44
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
84.0%
Latin 176
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 398
43.1%
3 229
24.8%
2 143
 
15.5%
1 61
 
6.6%
6 51
 
5.5%
9 21
 
2.3%
8 7
 
0.8%
5 6
 
0.6%
7 4
 
0.4%
4 4
 
0.4%
Latin
ValueCountFrequency (%)
P 44
25.0%
H 44
25.0%
M 44
25.0%
B 44
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 398
36.2%
3 229
20.8%
2 143
 
13.0%
1 61
 
5.5%
6 51
 
4.6%
P 44
 
4.0%
H 44
 
4.0%
M 44
 
4.0%
B 44
 
4.0%
9 21
 
1.9%
Other values (4) 21
 
1.9%

인허가일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum1976-12-21 00:00:00
Maximum2023-11-06 00:00:00
2024-04-06T19:48:27.859510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:28.081501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
22 
1
19 
5
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 22
50.0%
1 19
43.2%
5 3
 
6.8%

Length

2024-04-06T19:48:28.341574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:28.525024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 22
50.0%
1 19
43.2%
5 3
 
6.8%

영업상태명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
22 
영업/정상
19 
제외/삭제/전출
3 

Length

Max length8
Median length6.5
Mean length3.7045455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 22
50.0%
영업/정상 19
43.2%
제외/삭제/전출 3
 
6.8%

Length

2024-04-06T19:48:28.715209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:28.897731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 22
50.0%
영업/정상 19
43.2%
제외/삭제/전출 3
 
6.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
22 
13
19 
15
3 

Length

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

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 22
50.0%
13 19
43.2%
15 3
 
6.8%

Length

2024-04-06T19:48:29.071993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:29.254332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 22
50.0%
13 19
43.2%
15 3
 
6.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
22 
영업중
19 
전출
3 

Length

Max length3
Median length2
Mean length2.4318182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 22
50.0%
영업중 19
43.2%
전출 3
 
6.8%

Length

2024-04-06T19:48:29.481316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:29.659917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 22
50.0%
영업중 19
43.2%
전출 3
 
6.8%

폐업일자
Date

MISSING 

Distinct22
Distinct (%)100.0%
Missing22
Missing (%)50.0%
Memory size484.0 B
Minimum2009-04-06 00:00:00
Maximum2023-10-13 00:00:00
2024-04-06T19:48:29.847759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:30.047251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)100.0%
Missing16
Missing (%)36.4%
Memory size484.0 B
2024-04-06T19:48:30.352828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.3928571
Min length8

Characters and Unicode

Total characters263
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row778-8687
2nd row02-715-4371
3rd row702-2722
4th row719-4432
5th row707-0042
ValueCountFrequency (%)
423-2872 1
 
3.6%
02-715-4371 1
 
3.6%
719-2804 1
 
3.6%
02-3409-2809 1
 
3.6%
02-6369-2804 1
 
3.6%
027932804 1
 
3.6%
070-4530-2855 1
 
3.6%
861-2804 1
 
3.6%
702-2855 1
 
3.6%
02-701-4206 1
 
3.6%
Other values (18) 18
64.3%
2024-04-06T19:48:30.916353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 45
17.1%
- 37
14.1%
7 37
14.1%
0 36
13.7%
8 24
9.1%
4 19
7.2%
9 16
 
6.1%
1 14
 
5.3%
5 14
 
5.3%
3 11
 
4.2%
Other values (2) 10
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 225
85.6%
Dash Punctuation 37
 
14.1%
Math Symbol 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 45
20.0%
7 37
16.4%
0 36
16.0%
8 24
10.7%
4 19
8.4%
9 16
 
7.1%
1 14
 
6.2%
5 14
 
6.2%
3 11
 
4.9%
6 9
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 45
17.1%
- 37
14.1%
7 37
14.1%
0 36
13.7%
8 24
9.1%
4 19
7.2%
9 16
 
6.1%
1 14
 
5.3%
5 14
 
5.3%
3 11
 
4.2%
Other values (2) 10
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 45
17.1%
- 37
14.1%
7 37
14.1%
0 36
13.7%
8 24
9.1%
4 19
7.2%
9 16
 
6.1%
1 14
 
5.3%
5 14
 
5.3%
3 11
 
4.2%
Other values (2) 10
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

소재지우편번호
Text

MISSING 

Distinct18
Distinct (%)58.1%
Missing13
Missing (%)29.5%
Memory size484.0 B
2024-04-06T19:48:31.207886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0322581
Min length6

Characters and Unicode

Total characters187
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

Unique13 ?
Unique (%)41.9%

Sample

1st row140818
2nd row140821
3rd row140821
4th row140869
5th row140830
ValueCountFrequency (%)
140846 6
19.4%
140821 4
12.9%
140818 4
12.9%
140011 2
 
6.5%
140013 2
 
6.5%
140875 1
 
3.2%
140869 1
 
3.2%
140830 1
 
3.2%
140871 1
 
3.2%
140-847 1
 
3.2%
Other values (8) 8
25.8%
2024-04-06T19:48:31.702727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 49
26.2%
4 39
20.9%
0 38
20.3%
8 28
15.0%
6 8
 
4.3%
2 7
 
3.7%
3 7
 
3.7%
7 5
 
2.7%
9 4
 
2.1%
5 1
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
26.3%
4 39
21.0%
0 38
20.4%
8 28
15.1%
6 8
 
4.3%
2 7
 
3.8%
3 7
 
3.8%
7 5
 
2.7%
9 4
 
2.2%
5 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 187
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 49
26.2%
4 39
20.9%
0 38
20.3%
8 28
15.0%
6 8
 
4.3%
2 7
 
3.7%
3 7
 
3.7%
7 5
 
2.7%
9 4
 
2.1%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 49
26.2%
4 39
20.9%
0 38
20.3%
8 28
15.0%
6 8
 
4.3%
2 7
 
3.7%
3 7
 
3.7%
7 5
 
2.7%
9 4
 
2.1%
5 1
 
0.5%

지번주소
Text

MISSING 

Distinct39
Distinct (%)97.5%
Missing4
Missing (%)9.1%
Memory size484.0 B
2024-04-06T19:48:32.164344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length24.7
Min length18

Characters and Unicode

Total characters988
Distinct characters62
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)95.0%

Sample

1st row서울특별시 용산구 동자동 11번지 3호
2nd row서울특별시 용산구 동자동 43번지 71호 4F
3rd row서울특별시 용산구 동자동 43번지 82호
4th row서울특별시 용산구 청파동1가 140번지 3호
5th row서울특별시 용산구 서계동 267번지 56호
ValueCountFrequency (%)
서울특별시 40
18.4%
용산구 40
18.4%
동자동 8
 
3.7%
원효로1가 6
 
2.8%
2호 6
 
2.8%
한강로2가 4
 
1.8%
43번지 4
 
1.8%
한강로3가 4
 
1.8%
4층 4
 
1.8%
3층 4
 
1.8%
Other values (72) 97
44.7%
2024-04-06T19:48:32.781049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
18.2%
1 48
 
4.9%
서 42
 
4.3%
용 42
 
4.3%
울 40
 
4.0%
산 40
 
4.0%
구 40
 
4.0%
시 40
 
4.0%
별 40
 
4.0%
특 40
 
4.0%
Other values (52) 436
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 612
61.9%
Decimal Number 190
 
19.2%
Space Separator 180
 
18.2%
Dash Punctuation 4
 
0.4%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 42
 
6.9%
용 42
 
6.9%
울 40
 
6.5%
산 40
 
6.5%
구 40
 
6.5%
시 40
 
6.5%
별 40
 
6.5%
특 40
 
6.5%
호 38
 
6.2%
지 37
 
6.0%
Other values (38) 213
34.8%
Decimal Number
ValueCountFrequency (%)
1 48
25.3%
2 30
15.8%
3 28
14.7%
4 18
 
9.5%
6 16
 
8.4%
0 15
 
7.9%
8 11
 
5.8%
5 11
 
5.8%
9 9
 
4.7%
7 4
 
2.1%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 612
61.9%
Common 375
38.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 42
 
6.9%
용 42
 
6.9%
울 40
 
6.5%
산 40
 
6.5%
구 40
 
6.5%
시 40
 
6.5%
별 40
 
6.5%
특 40
 
6.5%
호 38
 
6.2%
지 37
 
6.0%
Other values (38) 213
34.8%
Common
ValueCountFrequency (%)
180
48.0%
1 48
 
12.8%
2 30
 
8.0%
3 28
 
7.5%
4 18
 
4.8%
6 16
 
4.3%
0 15
 
4.0%
8 11
 
2.9%
5 11
 
2.9%
9 9
 
2.4%
Other values (3) 9
 
2.4%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 612
61.9%
ASCII 376
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
47.9%
1 48
 
12.8%
2 30
 
8.0%
3 28
 
7.4%
4 18
 
4.8%
6 16
 
4.3%
0 15
 
4.0%
8 11
 
2.9%
5 11
 
2.9%
9 9
 
2.4%
Other values (4) 10
 
2.7%
Hangul
ValueCountFrequency (%)
서 42
 
6.9%
용 42
 
6.9%
울 40
 
6.5%
산 40
 
6.5%
구 40
 
6.5%
시 40
 
6.5%
별 40
 
6.5%
특 40
 
6.5%
호 38
 
6.2%
지 37
 
6.0%
Other values (38) 213
34.8%

도로명주소
Text

MISSING 

Distinct36
Distinct (%)94.7%
Missing6
Missing (%)13.6%
Memory size484.0 B
2024-04-06T19:48:33.226574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length28.210526
Min length22

Characters and Unicode

Total characters1072
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)92.1%

Sample

1st row서울특별시 용산구 후암로 95-2 (동자동)
2nd row서울특별시 용산구 원효로 184, 3층 (원효로2가)
3rd row서울특별시 용산구 한강대로 373-1 (동자동)
4th row서울특별시 용산구 한강대로 357 (동자동)
5th row서울특별시 용산구 청파로 333 (청파동1가)
ValueCountFrequency (%)
서울특별시 38
18.2%
용산구 38
18.2%
동자동 9
 
4.3%
한강대로 6
 
2.9%
원효로1가 5
 
2.4%
한강로3가 5
 
2.4%
후암로 4
 
1.9%
청파로 4
 
1.9%
한강로2가 3
 
1.4%
4층 3
 
1.4%
Other values (73) 94
45.0%
2024-04-06T19:48:33.861571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
 
16.0%
로 54
 
5.0%
용 41
 
3.8%
서 40
 
3.7%
산 39
 
3.6%
시 38
 
3.5%
특 38
 
3.5%
구 38
 
3.5%
울 38
 
3.5%
별 38
 
3.5%
Other values (58) 537
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 628
58.6%
Space Separator 171
 
16.0%
Decimal Number 170
 
15.9%
Open Punctuation 38
 
3.5%
Close Punctuation 38
 
3.5%
Other Punctuation 14
 
1.3%
Dash Punctuation 13
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 54
 
8.6%
용 41
 
6.5%
서 40
 
6.4%
산 39
 
6.2%
시 38
 
6.1%
특 38
 
6.1%
구 38
 
6.1%
울 38
 
6.1%
별 38
 
6.1%
동 33
 
5.3%
Other values (43) 231
36.8%
Decimal Number
ValueCountFrequency (%)
1 38
22.4%
3 30
17.6%
2 23
13.5%
5 17
10.0%
4 16
9.4%
9 15
 
8.8%
8 9
 
5.3%
7 8
 
4.7%
6 8
 
4.7%
0 6
 
3.5%
Space Separator
ValueCountFrequency (%)
171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 628
58.6%
Common 444
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 54
 
8.6%
용 41
 
6.5%
서 40
 
6.4%
산 39
 
6.2%
시 38
 
6.1%
특 38
 
6.1%
구 38
 
6.1%
울 38
 
6.1%
별 38
 
6.1%
동 33
 
5.3%
Other values (43) 231
36.8%
Common
ValueCountFrequency (%)
171
38.5%
( 38
 
8.6%
1 38
 
8.6%
) 38
 
8.6%
3 30
 
6.8%
2 23
 
5.2%
5 17
 
3.8%
4 16
 
3.6%
9 15
 
3.4%
, 14
 
3.2%
Other values (5) 44
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 628
58.6%
ASCII 444
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
38.5%
( 38
 
8.6%
1 38
 
8.6%
) 38
 
8.6%
3 30
 
6.8%
2 23
 
5.2%
5 17
 
3.8%
4 16
 
3.6%
9 15
 
3.4%
, 14
 
3.2%
Other values (5) 44
 
9.9%
Hangul
ValueCountFrequency (%)
로 54
 
8.6%
용 41
 
6.5%
서 40
 
6.4%
산 39
 
6.2%
시 38
 
6.1%
특 38
 
6.1%
구 38
 
6.1%
울 38
 
6.1%
별 38
 
6.1%
동 33
 
5.3%
Other values (43) 231
36.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)63.2%
Missing6
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean33018.5
Minimum4300
Maximum140848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-06T19:48:34.062379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4300
5-th percentile4312.5
Q14324
median4363
Q34381.25
95-th percentile140846
Maximum140848
Range136548
Interquartile range (IQR)57.25

Descriptive statistics

Standard deviation56271.367
Coefficient of variation (CV)1.7042375
Kurtosis0.19546432
Mean33018.5
Median Absolute Deviation (MAD)39
Skewness1.4791704
Sum1254703
Variance3.1664667 × 109
MonotonicityNot monotonic
2024-04-06T19:48:34.261740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4324 5
 
11.4%
4320 3
 
6.8%
4314 3
 
6.8%
4379 3
 
6.8%
4352 3
 
6.8%
4363 2
 
4.5%
140846 2
 
4.5%
140013 1
 
2.3%
4370 1
 
2.3%
4378 1
 
2.3%
Other values (14) 14
31.8%
(Missing) 6
13.6%
ValueCountFrequency (%)
4300 1
 
2.3%
4304 1
 
2.3%
4314 3
6.8%
4317 1
 
2.3%
4320 3
6.8%
4324 5
11.4%
4352 3
6.8%
4356 1
 
2.3%
4363 2
 
4.5%
4367 1
 
2.3%
ValueCountFrequency (%)
140848 1
 
2.3%
140846 2
4.5%
140830 1
 
2.3%
140821 1
 
2.3%
140133 1
 
2.3%
140013 1
 
2.3%
140012 1
 
2.3%
4393 1
 
2.3%
4382 1
 
2.3%
4379 3
6.8%

사업장명
Text

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-06T19:48:34.615263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.9090909
Min length5

Characters and Unicode

Total characters348
Distinct characters83
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)95.5%

Sample

1st row세창치과기공소
2nd row동은치과기공소
3rd row믿음치과기공소
4th row대웅치과기공소
5th row와이지(YG)치과기공소
ValueCountFrequency (%)
치과기공소 3
 
6.1%
퍼스트치과기공소 2
 
4.1%
탄탄기공소 1
 
2.0%
남우치과기공소 1
 
2.0%
랜드엘치과기공소 1
 
2.0%
오티앤치과기공소 1
 
2.0%
베이직치과기공소 1
 
2.0%
지우치과기공소 1
 
2.0%
케이투아이치과기공소 1
 
2.0%
플라톤 1
 
2.0%
Other values (36) 36
73.5%
2024-04-06T19:48:35.280942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 43
12.4%
공 43
12.4%
소 43
12.4%
치 42
12.1%
과 42
12.1%
이 13
 
3.7%
스 7
 
2.0%
라 5
 
1.4%
지 5
 
1.4%
5
 
1.4%
Other values (73) 100
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
97.1%
Space Separator 5
 
1.4%
Uppercase Letter 2
 
0.6%
Dash Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 43
12.7%
공 43
12.7%
소 43
12.7%
치 42
12.4%
과 42
12.4%
이 13
 
3.8%
스 7
 
2.1%
라 5
 
1.5%
지 5
 
1.5%
오 4
 
1.2%
Other values (67) 91
26.9%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
Y 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
97.1%
Common 8
 
2.3%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 43
12.7%
공 43
12.7%
소 43
12.7%
치 42
12.4%
과 42
12.4%
이 13
 
3.8%
스 7
 
2.1%
라 5
 
1.5%
지 5
 
1.5%
오 4
 
1.2%
Other values (67) 91
26.9%
Common
ValueCountFrequency (%)
5
62.5%
- 1
 
12.5%
) 1
 
12.5%
( 1
 
12.5%
Latin
ValueCountFrequency (%)
G 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
97.1%
ASCII 10
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 43
12.7%
공 43
12.7%
소 43
12.7%
치 42
12.4%
과 42
12.4%
이 13
 
3.8%
스 7
 
2.1%
라 5
 
1.5%
지 5
 
1.5%
오 4
 
1.2%
Other values (67) 91
26.9%
ASCII
ValueCountFrequency (%)
5
50.0%
- 1
 
10.0%
) 1
 
10.0%
G 1
 
10.0%
Y 1
 
10.0%
( 1
 
10.0%

최종수정일자
Date

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2009-04-06 18:34:31
Maximum2023-11-08 10:53:04
2024-04-06T19:48:35.499012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:48:35.784105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
I
32 
U
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 32
72.7%
U 12
 
27.3%

Length

2024-04-06T19:48:36.374826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:36.537433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 32
72.7%
u 12
 
27.3%

데이터갱신일자
Categorical

Distinct15
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
2018-08-31 23:59:59.0
30 
2021-12-02 21:00:00.0
 
1
2021-10-30 23:06:00.0
 
1
2022-12-08 00:04:00.0
 
1
2022-12-06 22:02:00.0
 
1
Other values (10)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique14 ?
Unique (%)31.8%

Sample

1st row2021-12-02 21:00:00.0
2nd row2021-10-30 23:06:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 30
68.2%
2021-12-02 21:00:00.0 1
 
2.3%
2021-10-30 23:06:00.0 1
 
2.3%
2022-12-08 00:04:00.0 1
 
2.3%
2022-12-06 22:02:00.0 1
 
2.3%
2019-02-14 02:40:00.0 1
 
2.3%
2021-12-05 23:00:00.0 1
 
2.3%
2018-09-17 23:59:59.0 1
 
2.3%
2022-12-07 00:02:00.0 1
 
2.3%
2021-02-17 02:40:00.0 1
 
2.3%
Other values (5) 5
 
11.4%

Length

2024-04-06T19:48:36.734386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59.0 31
35.2%
2018-08-31 30
34.1%
02:40:00.0 2
 
2.3%
2021-12-05 2
 
2.3%
2022-12-07 1
 
1.1%
2022-10-31 1
 
1.1%
22:00:00.0 1
 
1.1%
2022-12-03 1
 
1.1%
23:05:00.0 1
 
1.1%
2022-10-30 1
 
1.1%
Other values (17) 17
19.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

좌표정보(X)
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197149.25
Minimum195936.18
Maximum199622.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-06T19:48:36.944677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195936.18
5-th percentile196282.36
Q1196700.5
median197173.45
Q3197472.92
95-th percentile197728.74
Maximum199622.35
Range3686.1649
Interquartile range (IQR)772.41231

Descriptive statistics

Standard deviation603.68874
Coefficient of variation (CV)0.00306209
Kurtosis5.4506478
Mean197149.25
Median Absolute Deviation (MAD)411.42705
Skewness1.2439519
Sum8674566.8
Variance364440.1
MonotonicityNot monotonic
2024-04-06T19:48:37.299951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
197425.680210855 3
 
6.8%
197601.349660946 2
 
4.5%
197703.314956029 1
 
2.3%
196266.761727806 1
 
2.3%
196387.512989845 1
 
2.3%
197326.255684213 1
 
2.3%
197031.686715338 1
 
2.3%
196778.495551647 1
 
2.3%
196182.90634192 1
 
2.3%
197607.978553329 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
195936.18328447 1
2.3%
196182.90634192 1
2.3%
196266.761727806 1
2.3%
196370.746398773 1
2.3%
196387.512989845 1
2.3%
196496.214974364 1
2.3%
196606.60920223 1
2.3%
196624.028530468 1
2.3%
196666.841337566 1
2.3%
196670.557450846 1
2.3%
ValueCountFrequency (%)
199622.348154368 1
2.3%
197747.102997967 1
2.3%
197731.992485033 1
2.3%
197710.297834694 1
2.3%
197703.314956029 1
2.3%
197693.4226537 1
2.3%
197627.585517703 1
2.3%
197607.978553329 1
2.3%
197601.349660946 2
4.5%
197522.760094007 1
2.3%

좌표정보(Y)
Real number (ℝ)

Distinct41
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448591.68
Minimum446947.96
Maximum450288.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-06T19:48:37.542355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446947.96
5-th percentile447086.46
Q1447793.14
median448588.48
Q3449698.72
95-th percentile450121.8
Maximum450288.56
Range3340.601
Interquartile range (IQR)1905.5779

Descriptive statistics

Standard deviation1051.6379
Coefficient of variation (CV)0.0023443098
Kurtosis-1.2246246
Mean448591.68
Median Absolute Deviation (MAD)952.93143
Skewness0.072606745
Sum19738034
Variance1105942.2
MonotonicityNot monotonic
2024-04-06T19:48:37.902987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
449772.109072893 3
 
6.8%
448942.894407397 2
 
4.5%
450122.985851126 1
 
2.3%
448355.961432395 1
 
2.3%
448257.680522101 1
 
2.3%
449037.30792556 1
 
2.3%
448564.420980438 1
 
2.3%
446947.960824067 1
 
2.3%
448006.017439332 1
 
2.3%
448990.502482172 1
 
2.3%
Other values (31) 31
70.5%
ValueCountFrequency (%)
446947.960824067 1
2.3%
447052.565741975 1
2.3%
447084.44036503 1
2.3%
447097.911760459 1
2.3%
447106.677653821 1
2.3%
447129.29980931 1
2.3%
447234.744545632 1
2.3%
447361.664016 1
2.3%
447430.100250997 1
2.3%
447623.617929291 1
2.3%
ValueCountFrequency (%)
450288.561776513 1
 
2.3%
450122.985851126 1
 
2.3%
450122.192126982 1
 
2.3%
450119.606517113 1
 
2.3%
450114.82369787 1
 
2.3%
450111.129899188 1
 
2.3%
449941.061751163 1
 
2.3%
449819.985932936 1
 
2.3%
449772.109072893 3
6.8%
449674.259241832 1
 
2.3%

기공용레스수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
32 
<NA>
11 
2
 
1

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
72.7%
<NA> 11
 
25.0%
2 1
 
2.3%

Length

2024-04-06T19:48:38.439432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:38.694030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
72.7%
na 11
 
25.0%
2 1
 
2.3%

원심주조기수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
32 
<NA>
11 
2
 
1

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
72.7%
<NA> 11
 
25.0%
2 1
 
2.3%

Length

2024-04-06T19:48:38.964980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:39.189229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
72.7%
na 11
 
25.0%
2 1
 
2.3%

기공용모터수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)24.2%
Missing11
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean3.7575758
Minimum2
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-06T19:48:39.521809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q35
95-th percentile8.8
Maximum15
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7842223
Coefficient of variation (CV)0.74096239
Kurtosis7.9987862
Mean3.7575758
Median Absolute Deviation (MAD)1
Skewness2.6061702
Sum124
Variance7.7518939
MonotonicityNot monotonic
2024-04-06T19:48:39.751636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 14
31.8%
3 9
20.5%
5 4
 
9.1%
6 2
 
4.5%
8 1
 
2.3%
15 1
 
2.3%
4 1
 
2.3%
10 1
 
2.3%
(Missing) 11
25.0%
ValueCountFrequency (%)
2 14
31.8%
3 9
20.5%
4 1
 
2.3%
5 4
 
9.1%
6 2
 
4.5%
8 1
 
2.3%
10 1
 
2.3%
15 1
 
2.3%
ValueCountFrequency (%)
15 1
 
2.3%
10 1
 
2.3%
8 1
 
2.3%
6 2
 
4.5%
5 4
 
9.1%
4 1
 
2.3%
3 9
20.5%
2 14
31.8%

아세틸렌수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
33 
<NA>
11 

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
75.0%
<NA> 11
 
25.0%

Length

2024-04-06T19:48:39.960192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:40.189589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
75.0%
na 11
 
25.0%

치과용프레스수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
33 
<NA>
11 

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
75.0%
<NA> 11
 
25.0%

Length

2024-04-06T19:48:40.389662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:40.623103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
75.0%
na 11
 
25.0%

전기로수
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
28 
<NA>
11 
2
3 
3
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
63.6%
<NA> 11
 
25.0%
2 3
 
6.8%
3 1
 
2.3%
4 1
 
2.3%

Length

2024-04-06T19:48:40.969506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:41.238206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
63.6%
na 11
 
25.0%
2 3
 
6.8%
3 1
 
2.3%
4 1
 
2.3%

포셀린로수
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
28 
<NA>
11 
3
 
2
2
 
2
4
 
1

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
63.6%
<NA> 11
 
25.0%
3 2
 
4.5%
2 2
 
4.5%
4 1
 
2.3%

Length

2024-04-06T19:48:41.486007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:41.734834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
63.6%
na 11
 
25.0%
3 2
 
4.5%
2 2
 
4.5%
4 1
 
2.3%

초음파청소기수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
32 
<NA>
11 
2
 
1

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
72.7%
<NA> 11
 
25.0%
2 1
 
2.3%

Length

2024-04-06T19:48:41.969636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:42.164067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
72.7%
na 11
 
25.0%
2 1
 
2.3%

서베이어수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
28 
<NA>
11 
2
5 

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
63.6%
<NA> 11
 
25.0%
2 5
 
11.4%

Length

2024-04-06T19:48:42.438340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:42.675757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
63.6%
na 11
 
25.0%
2 5
 
11.4%

진동기수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
32 
<NA>
11 
2
 
1

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
72.7%
<NA> 11
 
25.0%
2 1
 
2.3%

Length

2024-04-06T19:48:42.902362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:43.120776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
72.7%
na 11
 
25.0%
2 1
 
2.3%

트리머수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
33 
<NA>
11 

Length

Max length4
Median length1
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 33
75.0%
<NA> 11
 
25.0%

Length

2024-04-06T19:48:43.504029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:43.723886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
75.0%
na 11
 
25.0%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
26 
<NA>
17 
2
 
1

Length

Max length4
Median length1
Mean length2.1590909
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
59.1%
<NA> 17
38.6%
2 1
 
2.3%

Length

2024-04-06T19:48:43.926726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:44.146406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
59.1%
na 17
38.6%
2 1
 
2.3%

샌드기수
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
24 
<NA>
17 
2
3 

Length

Max length4
Median length1
Mean length2.1590909
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
54.5%
<NA> 17
38.6%
2 3
 
6.8%

Length

2024-04-06T19:48:44.378582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:44.573064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
54.5%
na 17
38.6%
2 3
 
6.8%

진공매몰기수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
27 
<NA>
17 

Length

Max length4
Median length1
Mean length2.1590909
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
61.4%
<NA> 17
38.6%

Length

2024-04-06T19:48:44.773321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:44.958184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
61.4%
na 17
38.6%

핀덱스수
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
1
27 
<NA>
17 

Length

Max length4
Median length1
Mean length2.1590909
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 27
61.4%
<NA> 17
38.6%

Length

2024-04-06T19:48:45.129595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:48:45.459892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
61.4%
na 17
38.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03020000PHMB31976302003306230000119761221<NA>5제외/삭제/전출15전출<NA><NA><NA><NA>778-8687<NA>140818서울특별시 용산구 동자동 11번지 3호서울특별시 용산구 후암로 95-2 (동자동)4324세창치과기공소2022-03-28 15:06:42U2021-12-02 21:00:00.0<NA>197703.314956450122.985851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13020000PHMB31988302003306230000119880520<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로 184, 3층 (원효로2가)4367동은치과기공소2022-10-14 17:04:17U2021-10-30 23:06:00.0<NA>196666.841338448185.253999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23020000PHMB31991302003306230000119911114<NA>3폐업3폐업20160707<NA><NA><NA>02-715-4371<NA>140821서울특별시 용산구 동자동 43번지 71호 4F서울특별시 용산구 한강대로 373-1 (동자동)4320믿음치과기공소2016-07-07 14:29:22I2018-08-31 23:59:59.0<NA>197456.301313449941.061751112111111111111
33020000PHMB31992302003306230000119920108<NA>3폐업3폐업20120531<NA><NA><NA>702-2722<NA>140821서울특별시 용산구 동자동 43번지 82호서울특별시 용산구 한강대로 357 (동자동)140821대웅치과기공소2012-06-01 10:29:04I2018-08-31 23:59:59.0<NA>197425.680211449772.109073112111111111111
43020000PHMB31993302003306230000119930305<NA>1영업/정상13영업중<NA><NA><NA><NA>719-4432<NA>140869서울특별시 용산구 청파동1가 140번지 3호서울특별시 용산구 청파로 333 (청파동1가)4304와이지(YG)치과기공소2014-04-03 13:00:04I2018-08-31 23:59:59.0<NA>197254.317026449674.259242112111111111111
53020000PHMB31993302003306230000219930217<NA>3폐업3폐업20150519<NA><NA><NA>707-0042<NA>140830서울특별시 용산구 서계동 267번지 56호서울특별시 용산구 효창원로 263 (서계동)140830반석치과기공소2015-07-14 11:07:09I2018-08-31 23:59:59.0<NA>196709.864626449819.985933112111111111111
63020000PHMB31995302003306230000119950617<NA>3폐업3폐업20110426<NA><NA><NA><NA><NA>140871서울특별시 용산구 한강로2가 166번지 3호 3층<NA><NA>미치과기공소2011-04-26 16:27:01I2018-08-31 23:59:59.0<NA>197190.551277447361.66401612811332221<NA><NA><NA><NA>
73020000PHMB31996302003306230000119960708<NA>3폐업3폐업20090406<NA><NA><NA><NA><NA>140875서울특별시 용산구 한강로2가 194번지 2호<NA><NA>바이오치과기공소2009-04-06 18:34:31I2018-08-31 23:59:59.0<NA>197028.683565447234.74454611211111111<NA><NA><NA><NA>
83020000PHMB31998302003306230000119980320<NA>1영업/정상13영업중<NA><NA><NA><NA>711-2798<NA>140821서울특별시 용산구 동자동 43번지 82호서울특별시 용산구 한강대로 357 (동자동)4320한음치과기공소2014-02-27 14:20:55I2018-08-31 23:59:59.0<NA>197425.680211449772.109073112111111111111
93020000PHMB31998302003306230000219980928<NA>1영업/정상13영업중<NA><NA><NA><NA>754-6309<NA>140818서울특별시 용산구 동자동 5번지 2호서울특별시 용산구 후암로 91-1 (동자동)4324선진치과기공소2014-02-27 14:22:46I2018-08-31 23:59:59.0<NA>197747.102998450114.823698112111111111111
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
343020000PHMB32014302003306230000220141212<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4530-2855<NA>140818서울특별시 용산구 동자동 11번지 20호 지하1층서울특별시 용산구 후암로57길 3-9 (동자동)4324한우치과기공소2014-12-12 17:14:26I2018-08-31 23:59:59.0<NA>197693.422654450111.129899113111111111111
353020000PHMB32015302003306230000120150610<NA>1영업/정상13영업중<NA><NA><NA><NA>027932804<NA><NA><NA>서울특별시 용산구 한강대로15길 28 (한강로3가)4379아이케이치과기공소2015-06-11 13:23:29I2018-08-31 23:59:59.0<NA>196670.557451447129.299809113111111111111
363020000PHMB3201630200330623000012016-03-30<NA>3폐업3폐업2023-04-19<NA><NA><NA><NA><NA><NA>서울특별시 용산구 남영동 52번지 6호서울특별시 용산구 한강대로80길 15 (남영동)4352하이치과 기공소2023-06-30 18:00:39U2022-12-07 00:02:00.0<NA>197601.349661448942.894407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373020000PHMB32016302003306230000220160628<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6369-2804<NA><NA><NA>서울특별시 용산구 후암로 95-1 (동자동)4324넥스트치과기공소2021-02-15 14:04:03U2021-02-17 02:40:00.0<NA>197710.297835450122.192127113111111111111
383020000PHMB32016302003306230000320160811<NA>3폐업3폐업20170908<NA><NA><NA>02-3409-2809<NA><NA>서울특별시 용산구 효창동 5번지 116호서울특별시 용산구 효창원로62길 16 (효창동, 동호빌딩)4317원데이치과기공소2017-09-08 15:58:40I2018-08-31 23:59:59.0<NA>196624.02853448612.538603115111411112211
393020000PHMB3201730200330623000012015-04-23<NA>5제외/삭제/전출15전출<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 115번지 2호 암사동양텍스빌 301호서울특별시 용산구 한강대로44길 2-1 (한강로2가)4382이앤치과기공소2023-05-10 16:54:35U2022-12-04 23:03:00.0<NA>197294.051567447647.478786<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403020000PHMB32019302003306230000120160908<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 40-189 보성빌딩서울특별시 용산구 한강대로15길 31-14, 보성빌딩 4층 (한강로3가)4379라임치과기공소2022-06-27 14:25:49U2021-12-05 22:09:00.0<NA>196606.609202447106.677654<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413020000PHMB3202130200330623000012021-07-16<NA>3폐업3폐업2023-10-13<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강대로 95, 지하2층 222호 (한강로2가, 래미안용산 더 센트럴)4378라임디자인센터 치과기공소2023-10-13 14:06:33U2022-10-30 23:05:00.0<NA>197011.737529447430.100251<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423020000PHMB3202330200330623000012009-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-929-2872<NA><NA>서울특별시 용산구 남영동 52-6서울특별시 용산구 한강대로80길 15, 2층 (남영동)4352대명치과기공소2023-04-18 16:36:59I2022-12-03 22:00:00.0<NA>197601.349661448942.894407<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433020000PHMB3202330200330623000022023-11-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 신계동 11-7 명재본가서울특별시 용산구 새창로45길 63, 1층 (신계동, 명재본가)4370오엠치과기공소2023-11-08 10:53:04I2022-10-31 23:01:00.0<NA>196906.473564448054.206329<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>