Overview

Dataset statistics

Number of variables40
Number of observations66
Missing cells515
Missing cells (%)19.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.5 KiB
Average record size in memory349.0 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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-16464/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 66 (100.0%) missing valuesMissing
폐업일자 has 36 (54.5%) missing valuesMissing
휴업시작일자 has 66 (100.0%) missing valuesMissing
휴업종료일자 has 66 (100.0%) missing valuesMissing
재개업일자 has 66 (100.0%) missing valuesMissing
전화번호 has 19 (28.8%) missing valuesMissing
소재지면적 has 66 (100.0%) missing valuesMissing
소재지우편번호 has 32 (48.5%) missing valuesMissing
도로명주소 has 3 (4.5%) missing valuesMissing
도로명우편번호 has 10 (15.2%) missing valuesMissing
업태구분명 has 66 (100.0%) missing valuesMissing
좌표정보(X) has 3 (4.5%) missing valuesMissing
좌표정보(Y) has 3 (4.5%) missing valuesMissing
기공용모터수 has 13 (19.7%) 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 04:17:24.705934
Analysis finished2024-05-11 04:17:26.098956
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
3100000
66 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 66
100.0%

Length

2024-05-11T04:17:26.417697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:26.958642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 66
100.0%

관리번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T04:17:27.701366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1650
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

Unique66 ?
Unique (%)100.0%

Sample

1st rowPHMB319953100034062300001
2nd rowPHMB319973100034062300001
3rd rowPHMB319983100034062300001
4th rowPHMB320003100034062300001
5th rowPHMB320003100034062300002
ValueCountFrequency (%)
phmb319953100034062300001 1
 
1.5%
phmb320183100034062300003 1
 
1.5%
phmb320233100034062300003 1
 
1.5%
phmb320123100034062300004 1
 
1.5%
phmb320123100034062300005 1
 
1.5%
phmb320123100034062300006 1
 
1.5%
phmb320123100034062300007 1
 
1.5%
phmb320123100034062300008 1
 
1.5%
phmb320133100034062300001 1
 
1.5%
phmb320133100034062300002 1
 
1.5%
Other values (56) 56
84.8%
2024-05-11T04:17:28.691218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 623
37.8%
3 284
17.2%
2 171
 
10.4%
1 129
 
7.8%
4 75
 
4.5%
6 72
 
4.4%
P 66
 
4.0%
H 66
 
4.0%
M 66
 
4.0%
B 66
 
4.0%
Other values (4) 32
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1386
84.0%
Uppercase Letter 264
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 623
44.9%
3 284
20.5%
2 171
 
12.3%
1 129
 
9.3%
4 75
 
5.4%
6 72
 
5.2%
9 12
 
0.9%
8 8
 
0.6%
5 7
 
0.5%
7 5
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 66
25.0%
H 66
25.0%
M 66
25.0%
B 66
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1386
84.0%
Latin 264
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 623
44.9%
3 284
20.5%
2 171
 
12.3%
1 129
 
9.3%
4 75
 
5.4%
6 72
 
5.2%
9 12
 
0.9%
8 8
 
0.6%
5 7
 
0.5%
7 5
 
0.4%
Latin
ValueCountFrequency (%)
P 66
25.0%
H 66
25.0%
M 66
25.0%
B 66
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 623
37.8%
3 284
17.2%
2 171
 
10.4%
1 129
 
7.8%
4 75
 
4.5%
6 72
 
4.4%
P 66
 
4.0%
H 66
 
4.0%
M 66
 
4.0%
B 66
 
4.0%
Other values (4) 32
 
1.9%

인허가일자
Date

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum1995-12-02 00:00:00
Maximum2023-10-04 00:00:00
2024-05-11T04:17:29.400173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:17:29.986772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
34 
3
29 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 34
51.5%
3 29
43.9%
5 3
 
4.5%

Length

2024-05-11T04:17:30.624094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:31.060544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
51.5%
3 29
43.9%
5 3
 
4.5%

영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업/정상
34 
폐업
29 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length3.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
51.5%
폐업 29
43.9%
제외/삭제/전출 3
 
4.5%

Length

2024-05-11T04:17:31.711750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:32.281806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
51.5%
폐업 29
43.9%
제외/삭제/전출 3
 
4.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
13
34 
3
29 
15
 
3

Length

Max length2
Median length2
Mean length1.5606061
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 34
51.5%
3 29
43.9%
15 3
 
4.5%

Length

2024-05-11T04:17:32.743672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:33.142277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 34
51.5%
3 29
43.9%
15 3
 
4.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업중
34 
폐업
29 
전출
 
3

Length

Max length3
Median length3
Mean length2.5151515
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 34
51.5%
폐업 29
43.9%
전출 3
 
4.5%

Length

2024-05-11T04:17:33.657323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:34.106513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 34
51.5%
폐업 29
43.9%
전출 3
 
4.5%

폐업일자
Date

MISSING 

Distinct28
Distinct (%)93.3%
Missing36
Missing (%)54.5%
Memory size660.0 B
Minimum2009-03-12 00:00:00
Maximum2022-12-31 00:00:00
2024-05-11T04:17:34.585426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:17:35.045845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

전화번호
Text

MISSING 

Distinct44
Distinct (%)93.6%
Missing19
Missing (%)28.8%
Memory size660.0 B
2024-05-11T04:17:35.598353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.2978723
Min length8

Characters and Unicode

Total characters437
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

Unique41 ?
Unique (%)87.2%

Sample

1st row931-0933
2nd row943-1077
3rd row975-4035
4th row932-2522
5th row939-8588
ValueCountFrequency (%)
954-2881 2
 
4.3%
439-2804 2
 
4.3%
977-2824 2
 
4.3%
070-5223-0980 1
 
2.1%
02-977-2844 1
 
2.1%
02-977-2824 1
 
2.1%
432-2803 1
 
2.1%
070-4633-2498 1
 
2.1%
937-2879 1
 
2.1%
02-6221-5367 1
 
2.1%
Other values (34) 34
72.3%
2024-05-11T04:17:36.752944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 71
16.2%
- 63
14.4%
9 56
12.8%
8 46
10.5%
0 46
10.5%
3 40
9.2%
7 34
7.8%
4 33
7.6%
5 19
 
4.3%
1 17
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 374
85.6%
Dash Punctuation 63
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 71
19.0%
9 56
15.0%
8 46
12.3%
0 46
12.3%
3 40
10.7%
7 34
9.1%
4 33
8.8%
5 19
 
5.1%
1 17
 
4.5%
6 12
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 71
16.2%
- 63
14.4%
9 56
12.8%
8 46
10.5%
0 46
10.5%
3 40
9.2%
7 34
7.8%
4 33
7.6%
5 19
 
4.3%
1 17
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 71
16.2%
- 63
14.4%
9 56
12.8%
8 46
10.5%
0 46
10.5%
3 40
9.2%
7 34
7.8%
4 33
7.6%
5 19
 
4.3%
1 17
 
3.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

소재지우편번호
Text

MISSING 

Distinct27
Distinct (%)79.4%
Missing32
Missing (%)48.5%
Memory size660.0 B
2024-05-11T04:17:37.238505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0588235
Min length6

Characters and Unicode

Total characters206
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)61.8%

Sample

1st row139820
2nd row139845
3rd row139240
4th row139856
5th row139810
ValueCountFrequency (%)
139816 3
 
8.8%
139240 2
 
5.9%
139856 2
 
5.9%
139818 2
 
5.9%
139808 2
 
5.9%
139820 2
 
5.9%
139832 1
 
2.9%
139201 1
 
2.9%
139806 1
 
2.9%
139814 1
 
2.9%
Other values (17) 17
50.0%
2024-05-11T04:17:38.626733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 46
22.3%
3 38
18.4%
9 36
17.5%
8 34
16.5%
0 18
 
8.7%
2 9
 
4.4%
6 8
 
3.9%
4 6
 
2.9%
5 6
 
2.9%
7 3
 
1.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 46
22.5%
3 38
18.6%
9 36
17.6%
8 34
16.7%
0 18
 
8.8%
2 9
 
4.4%
6 8
 
3.9%
4 6
 
2.9%
5 6
 
2.9%
7 3
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 206
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 46
22.3%
3 38
18.4%
9 36
17.5%
8 34
16.5%
0 18
 
8.7%
2 9
 
4.4%
6 8
 
3.9%
4 6
 
2.9%
5 6
 
2.9%
7 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 46
22.3%
3 38
18.4%
9 36
17.5%
8 34
16.5%
0 18
 
8.7%
2 9
 
4.4%
6 8
 
3.9%
4 6
 
2.9%
5 6
 
2.9%
7 3
 
1.5%

지번주소
Text

Distinct61
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T04:17:39.280048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length34
Mean length26.621212
Min length19

Characters and Unicode

Total characters1757
Distinct characters87
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

Unique57 ?
Unique (%)86.4%

Sample

1st row서울특별시 노원구 상계5동 169번지 14호
2nd row서울특별시 노원구 월계4동 298번지 9호
3rd row서울특별시 노원구 공릉동 621번지 7호 (동일로174길 9-44) 2층
4th row서울특별시 노원구 중계4동 157번지 41호
5th row서울특별시 노원구 상계동 581번지 6호 동진빌딩 405호
ValueCountFrequency (%)
서울특별시 67
18.4%
노원구 66
18.1%
상계동 19
 
5.2%
공릉동 15
 
4.1%
2층 9
 
2.5%
3층 8
 
2.2%
상계2동 7
 
1.9%
169번지 4
 
1.1%
11호 4
 
1.1%
공릉1.3동 4
 
1.1%
Other values (122) 161
44.2%
2024-05-11T04:17:40.451536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
299
 
17.0%
1 83
 
4.7%
동 75
 
4.3%
원 69
 
3.9%
구 69
 
3.9%
울 68
 
3.9%
시 68
 
3.9%
서 67
 
3.8%
노 67
 
3.8%
별 67
 
3.8%
Other values (77) 825
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1034
58.9%
Decimal Number 391
 
22.3%
Space Separator 299
 
17.0%
Dash Punctuation 14
 
0.8%
Other Punctuation 8
 
0.5%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 75
 
7.3%
원 69
 
6.7%
구 69
 
6.7%
울 68
 
6.6%
시 68
 
6.6%
서 67
 
6.5%
노 67
 
6.5%
별 67
 
6.5%
특 67
 
6.5%
지 50
 
4.8%
Other values (60) 367
35.5%
Decimal Number
ValueCountFrequency (%)
1 83
21.2%
2 54
13.8%
3 50
12.8%
4 45
11.5%
6 36
9.2%
5 33
 
8.4%
7 28
 
7.2%
0 23
 
5.9%
9 20
 
5.1%
8 19
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 7
87.5%
, 1
 
12.5%
Space Separator
ValueCountFrequency (%)
299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1034
58.9%
Common 722
41.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 75
 
7.3%
원 69
 
6.7%
구 69
 
6.7%
울 68
 
6.6%
시 68
 
6.6%
서 67
 
6.5%
노 67
 
6.5%
별 67
 
6.5%
특 67
 
6.5%
지 50
 
4.8%
Other values (60) 367
35.5%
Common
ValueCountFrequency (%)
299
41.4%
1 83
 
11.5%
2 54
 
7.5%
3 50
 
6.9%
4 45
 
6.2%
6 36
 
5.0%
5 33
 
4.6%
7 28
 
3.9%
0 23
 
3.2%
9 20
 
2.8%
Other values (6) 51
 
7.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1034
58.9%
ASCII 723
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
299
41.4%
1 83
 
11.5%
2 54
 
7.5%
3 50
 
6.9%
4 45
 
6.2%
6 36
 
5.0%
5 33
 
4.6%
7 28
 
3.9%
0 23
 
3.2%
9 20
 
2.8%
Other values (7) 52
 
7.2%
Hangul
ValueCountFrequency (%)
동 75
 
7.3%
원 69
 
6.7%
구 69
 
6.7%
울 68
 
6.6%
시 68
 
6.6%
서 67
 
6.5%
노 67
 
6.5%
별 67
 
6.5%
특 67
 
6.5%
지 50
 
4.8%
Other values (60) 367
35.5%

도로명주소
Text

MISSING 

Distinct56
Distinct (%)88.9%
Missing3
Missing (%)4.5%
Memory size660.0 B
2024-05-11T04:17:41.136040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length32.063492
Min length23

Characters and Unicode

Total characters2020
Distinct characters93
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

Unique50 ?
Unique (%)79.4%

Sample

1st row서울특별시 노원구 한글비석로24길 13, 3층 (상계동)
2nd row서울특별시 노원구 광운로 124 (월계동)
3rd row서울특별시 노원구 동일로174길 9-44, 2층 (공릉동)
4th row서울특별시 노원구 상계로1길 74 (상계동, 동진상가)
5th row서울특별시 노원구 덕릉로 804 (상계동, 상계대림프라자)
ValueCountFrequency (%)
서울특별시 63
 
16.0%
노원구 62
 
15.8%
상계동 33
 
8.4%
공릉동 20
 
5.1%
3층 13
 
3.3%
2층 12
 
3.1%
동일로 7
 
1.8%
동일로174길 5
 
1.3%
동양빌딩 5
 
1.3%
29-1 5
 
1.3%
Other values (127) 168
42.7%
2024-05-11T04:17:42.399271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
16.3%
동 97
 
4.8%
원 70
 
3.5%
노 69
 
3.4%
1 68
 
3.4%
울 64
 
3.2%
로 64
 
3.2%
) 64
 
3.2%
( 64
 
3.2%
구 64
 
3.2%
Other values (83) 1066
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1140
56.4%
Decimal Number 345
 
17.1%
Space Separator 330
 
16.3%
Close Punctuation 64
 
3.2%
Open Punctuation 64
 
3.2%
Other Punctuation 61
 
3.0%
Dash Punctuation 16
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 97
 
8.5%
원 70
 
6.1%
노 69
 
6.1%
울 64
 
5.6%
로 64
 
5.6%
구 64
 
5.6%
서 63
 
5.5%
특 63
 
5.5%
별 63
 
5.5%
시 63
 
5.5%
Other values (68) 460
40.4%
Decimal Number
ValueCountFrequency (%)
1 68
19.7%
2 54
15.7%
3 50
14.5%
4 49
14.2%
0 32
9.3%
9 23
 
6.7%
5 20
 
5.8%
7 18
 
5.2%
8 18
 
5.2%
6 13
 
3.8%
Space Separator
ValueCountFrequency (%)
330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1140
56.4%
Common 880
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 97
 
8.5%
원 70
 
6.1%
노 69
 
6.1%
울 64
 
5.6%
로 64
 
5.6%
구 64
 
5.6%
서 63
 
5.5%
특 63
 
5.5%
별 63
 
5.5%
시 63
 
5.5%
Other values (68) 460
40.4%
Common
ValueCountFrequency (%)
330
37.5%
1 68
 
7.7%
) 64
 
7.3%
( 64
 
7.3%
, 61
 
6.9%
2 54
 
6.1%
3 50
 
5.7%
4 49
 
5.6%
0 32
 
3.6%
9 23
 
2.6%
Other values (5) 85
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1140
56.4%
ASCII 880
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
330
37.5%
1 68
 
7.7%
) 64
 
7.3%
( 64
 
7.3%
, 61
 
6.9%
2 54
 
6.1%
3 50
 
5.7%
4 49
 
5.6%
0 32
 
3.6%
9 23
 
2.6%
Other values (5) 85
 
9.7%
Hangul
ValueCountFrequency (%)
동 97
 
8.5%
원 70
 
6.1%
노 69
 
6.1%
울 64
 
5.6%
로 64
 
5.6%
구 64
 
5.6%
서 63
 
5.5%
특 63
 
5.5%
별 63
 
5.5%
시 63
 
5.5%
Other values (68) 460
40.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)73.2%
Missing10
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean23233.911
Minimum1605
Maximum139893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:17:42.864986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1605
5-th percentile1659
Q11692.5
median1789
Q31854
95-th percentile139819
Maximum139893
Range138288
Interquartile range (IQR)161.5

Descriptive statistics

Standard deviation49785.618
Coefficient of variation (CV)2.1427997
Kurtosis1.8495589
Mean23233.911
Median Absolute Deviation (MAD)94.5
Skewness1.9339604
Sum1301099
Variance2.4786077 × 109
MonotonicityNot monotonic
2024-05-11T04:17:43.408344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1849 5
 
7.6%
1696 5
 
7.6%
1693 4
 
6.1%
1848 2
 
3.0%
139816 2
 
3.0%
1813 2
 
3.0%
1663 2
 
3.0%
1751 1
 
1.5%
1857 1
 
1.5%
1675 1
 
1.5%
Other values (31) 31
47.0%
(Missing) 10
 
15.2%
ValueCountFrequency (%)
1605 1
1.5%
1646 1
1.5%
1656 1
1.5%
1660 1
1.5%
1662 1
1.5%
1663 2
3.0%
1674 1
1.5%
1675 1
1.5%
1679 1
1.5%
1682 1
1.5%
ValueCountFrequency (%)
139893 1
1.5%
139838 1
1.5%
139822 1
1.5%
139818 1
1.5%
139816 2
3.0%
139815 1
1.5%
139241 1
1.5%
100754 1
1.5%
1885 1
1.5%
1863 1
1.5%

사업장명
Text

Distinct62
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T04:17:44.116914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.4848485
Min length6

Characters and Unicode

Total characters560
Distinct characters129
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

Unique58 ?
Unique (%)87.9%

Sample

1st row태성치과기공소
2nd row예진치과기공소
3rd row아트플러스치과기공소
4th rowY.S.치과기공소
5th row유니크치과기공소
ValueCountFrequency (%)
치과기공소 3
 
4.2%
케이(k)치과기공소 2
 
2.8%
하이스트치과기공소 2
 
2.8%
아트치과기공소 2
 
2.8%
새이치과기공소 2
 
2.8%
예혼치과기공소 1
 
1.4%
맑음치과기공소 1
 
1.4%
해냄치과기공소 1
 
1.4%
스마트치과기공소 1
 
1.4%
수아르치과기공소 1
 
1.4%
Other values (56) 56
77.8%
2024-05-11T04:17:45.271749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 67
 
12.0%
기 67
 
12.0%
과 66
 
11.8%
공 66
 
11.8%
소 66
 
11.8%
이 11
 
2.0%
스 8
 
1.4%
아 8
 
1.4%
S 6
 
1.1%
( 6
 
1.1%
Other values (119) 189
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
87.3%
Uppercase Letter 23
 
4.1%
Lowercase Letter 23
 
4.1%
Open Punctuation 6
 
1.1%
Close Punctuation 6
 
1.1%
Space Separator 6
 
1.1%
Other Punctuation 5
 
0.9%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 67
13.7%
기 67
13.7%
과 66
13.5%
공 66
13.5%
소 66
13.5%
이 11
 
2.2%
스 8
 
1.6%
아 8
 
1.6%
트 6
 
1.2%
플 4
 
0.8%
Other values (89) 120
24.5%
Uppercase Letter
ValueCountFrequency (%)
S 6
26.1%
N 3
13.0%
E 2
 
8.7%
K 2
 
8.7%
I 1
 
4.3%
F 1
 
4.3%
T 1
 
4.3%
A 1
 
4.3%
B 1
 
4.3%
C 1
 
4.3%
Other values (4) 4
17.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
21.7%
u 4
17.4%
l 3
13.0%
m 2
 
8.7%
p 2
 
8.7%
s 2
 
8.7%
o 2
 
8.7%
r 1
 
4.3%
t 1
 
4.3%
a 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
87.3%
Latin 46
 
8.2%
Common 25
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 67
13.7%
기 67
13.7%
과 66
13.5%
공 66
13.5%
소 66
13.5%
이 11
 
2.2%
스 8
 
1.6%
아 8
 
1.6%
트 6
 
1.2%
플 4
 
0.8%
Other values (89) 120
24.5%
Latin
ValueCountFrequency (%)
S 6
 
13.0%
e 5
 
10.9%
u 4
 
8.7%
l 3
 
6.5%
N 3
 
6.5%
m 2
 
4.3%
p 2
 
4.3%
E 2
 
4.3%
s 2
 
4.3%
o 2
 
4.3%
Other values (14) 15
32.6%
Common
ValueCountFrequency (%)
( 6
24.0%
) 6
24.0%
6
24.0%
. 4
16.0%
- 2
 
8.0%
, 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
87.3%
ASCII 71
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 67
13.7%
기 67
13.7%
과 66
13.5%
공 66
13.5%
소 66
13.5%
이 11
 
2.2%
스 8
 
1.6%
아 8
 
1.6%
트 6
 
1.2%
플 4
 
0.8%
Other values (89) 120
24.5%
ASCII
ValueCountFrequency (%)
S 6
 
8.5%
( 6
 
8.5%
) 6
 
8.5%
6
 
8.5%
e 5
 
7.0%
u 4
 
5.6%
. 4
 
5.6%
l 3
 
4.2%
N 3
 
4.2%
m 2
 
2.8%
Other values (20) 26
36.6%

최종수정일자
Date

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2009-03-13 09:20:53
Maximum2023-10-05 09:08:06
2024-05-11T04:17:45.838608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:17:46.271133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
I
48 
U
17 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
I 48
72.7%
U 17
 
25.8%
D 1
 
1.5%

Length

2024-05-11T04:17:46.706763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:47.040230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 48
72.7%
u 17
 
25.8%
d 1
 
1.5%

데이터갱신일자
Date

Distinct26
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-06 22:08:00
2024-05-11T04:17:47.359421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:17:47.791797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)76.2%
Missing3
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean205893.94
Minimum200750.46
Maximum207416.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:17:48.241983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200750.46
5-th percentile204513.26
Q1205389.31
median206065
Q3206427.77
95-th percentile206978.42
Maximum207416.59
Range6666.1317
Interquartile range (IQR)1038.4653

Descriptive statistics

Standard deviation955.55803
Coefficient of variation (CV)0.0046410206
Kurtosis12.542188
Mean205893.94
Median Absolute Deviation (MAD)474.81374
Skewness-2.6494194
Sum12971318
Variance913091.15
MonotonicityNot monotonic
2024-05-11T04:17:48.666660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
205938.783931365 5
 
7.6%
206645.058348758 4
 
6.1%
206407.203479638 3
 
4.5%
205005.107760722 2
 
3.0%
205359.545638797 2
 
3.0%
206136.475385752 2
 
3.0%
206539.812822548 2
 
3.0%
207019.727340232 2
 
3.0%
204513.262825497 2
 
3.0%
206827.225076955 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 3
 
4.5%
ValueCountFrequency (%)
200750.455125653 1
1.5%
204377.840122764 1
1.5%
204493.316247866 1
1.5%
204513.262825497 2
3.0%
204639.661195599 1
1.5%
205005.107760722 2
3.0%
205039.301732224 1
1.5%
205156.511099856 1
1.5%
205344.664263273 1
1.5%
205359.545638797 2
3.0%
ValueCountFrequency (%)
207416.586869686 1
 
1.5%
207019.727340232 2
3.0%
206989.985490379 1
 
1.5%
206874.315259655 1
 
1.5%
206827.225076955 1
 
1.5%
206749.005031945 1
 
1.5%
206660.996049419 1
 
1.5%
206645.058348758 4
6.1%
206539.812822548 2
3.0%
206512.220657263 1
 
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)76.2%
Missing3
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean460324.46
Minimum449638.82
Maximum464003.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:17:49.091109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449638.82
5-th percentile457405.52
Q1457961.64
median461548.44
Q3462030.84
95-th percentile463320.33
Maximum464003.78
Range14364.958
Interquartile range (IQR)4069.2007

Descriptive statistics

Standard deviation2543.4333
Coefficient of variation (CV)0.0055253056
Kurtosis3.2048549
Mean460324.46
Median Absolute Deviation (MAD)1207.8912
Skewness-1.2890259
Sum29000441
Variance6469052.9
MonotonicityNot monotonic
2024-05-11T04:17:49.535187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
461548.441496172 5
 
7.6%
457431.668620538 4
 
6.1%
457897.082234496 3
 
4.5%
462756.332743137 2
 
3.0%
461892.9347976 2
 
3.0%
461455.306796822 2
 
3.0%
457721.245351089 2
 
3.0%
458418.229301355 2
 
3.0%
463599.045848739 2
 
3.0%
457502.722059871 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 3
 
4.5%
ValueCountFrequency (%)
449638.824308081 1
 
1.5%
457176.509069823 1
 
1.5%
457227.455882764 1
 
1.5%
457404.760184454 1
 
1.5%
457412.362660982 1
 
1.5%
457431.668620538 4
6.1%
457502.722059871 1
 
1.5%
457531.150735856 1
 
1.5%
457721.245351089 2
3.0%
457897.082234496 3
4.5%
ValueCountFrequency (%)
464003.782684071 1
1.5%
463599.045848739 2
3.0%
463320.693022112 1
1.5%
463317.075157735 1
1.5%
462914.032630703 1
1.5%
462756.332743137 2
3.0%
462492.411892364 1
1.5%
462407.693556752 1
1.5%
462367.006783272 1
1.5%
462163.266336406 1
1.5%

기공용레스수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
50 
<NA>
13 
2
 
3

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
75.8%
<NA> 13
 
19.7%
2 3
 
4.5%

Length

2024-05-11T04:17:49.991235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:50.325707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
75.8%
na 13
 
19.7%
2 3
 
4.5%

원심주조기수
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
53 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
80.3%
<NA> 13
 
19.7%

Length

2024-05-11T04:17:50.677037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:51.008967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
80.3%
na 13
 
19.7%

기공용모터수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)18.9%
Missing13
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean3.3018868
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:17:51.306669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile7.4
Maximum14
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3003754
Coefficient of variation (CV)0.69668513
Kurtosis9.2680879
Mean3.3018868
Median Absolute Deviation (MAD)1
Skewness2.7865885
Sum175
Variance5.2917271
MonotonicityNot monotonic
2024-05-11T04:17:51.693267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 25
37.9%
3 15
22.7%
5 3
 
4.5%
4 3
 
4.5%
7 2
 
3.0%
8 1
 
1.5%
14 1
 
1.5%
10 1
 
1.5%
1 1
 
1.5%
6 1
 
1.5%
(Missing) 13
19.7%
ValueCountFrequency (%)
1 1
 
1.5%
2 25
37.9%
3 15
22.7%
4 3
 
4.5%
5 3
 
4.5%
6 1
 
1.5%
7 2
 
3.0%
8 1
 
1.5%
10 1
 
1.5%
14 1
 
1.5%
ValueCountFrequency (%)
14 1
 
1.5%
10 1
 
1.5%
8 1
 
1.5%
7 2
 
3.0%
6 1
 
1.5%
5 3
 
4.5%
4 3
 
4.5%
3 15
22.7%
2 25
37.9%
1 1
 
1.5%

아세틸렌수
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
53 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
80.3%
<NA> 13
 
19.7%

Length

2024-05-11T04:17:52.128316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:52.451201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
80.3%
na 13
 
19.7%

치과용프레스수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
52 
<NA>
13 
2
 
1

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 52
78.8%
<NA> 13
 
19.7%
2 1
 
1.5%

Length

2024-05-11T04:17:52.771757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:53.090412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 52
78.8%
na 13
 
19.7%
2 1
 
1.5%

전기로수
Categorical

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
45 
<NA>
13 
2
7 
3
 
1

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
68.2%
<NA> 13
 
19.7%
2 7
 
10.6%
3 1
 
1.5%

Length

2024-05-11T04:17:53.500011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:53.931550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
68.2%
na 13
 
19.7%
2 7
 
10.6%
3 1
 
1.5%

포셀린로수
Categorical

Distinct6
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
46 
<NA>
13 
2
 
3
3
 
2
5
 
1

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 46
69.7%
<NA> 13
 
19.7%
2 3
 
4.5%
3 2
 
3.0%
5 1
 
1.5%
4 1
 
1.5%

Length

2024-05-11T04:17:54.374095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:54.737319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
69.7%
na 13
 
19.7%
2 3
 
4.5%
3 2
 
3.0%
5 1
 
1.5%
4 1
 
1.5%

초음파청소기수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
50 
<NA>
13 
2
 
3

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
75.8%
<NA> 13
 
19.7%
2 3
 
4.5%

Length

2024-05-11T04:17:55.305490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:55.827221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
75.8%
na 13
 
19.7%
2 3
 
4.5%

서베이어수
Categorical

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
49 
<NA>
13 
2
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
74.2%
<NA> 13
 
19.7%
2 3
 
4.5%
3 1
 
1.5%

Length

2024-05-11T04:17:56.376907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:56.740236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
74.2%
na 13
 
19.7%
2 3
 
4.5%
3 1
 
1.5%

진동기수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
48 
<NA>
13 
2
5 

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 48
72.7%
<NA> 13
 
19.7%
2 5
 
7.6%

Length

2024-05-11T04:17:57.232131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:57.599416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
72.7%
na 13
 
19.7%
2 5
 
7.6%

트리머수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
50 
<NA>
13 
2
 
3

Length

Max length4
Median length1
Mean length1.5909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
75.8%
<NA> 13
 
19.7%
2 3
 
4.5%

Length

2024-05-11T04:17:57.998613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:58.372398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
75.8%
na 13
 
19.7%
2 3
 
4.5%

기공용컴프레서수
Categorical

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
41 
<NA>
21 
2
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 41
62.1%
<NA> 21
31.8%
2 3
 
4.5%
3 1
 
1.5%

Length

2024-05-11T04:17:58.796421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:17:59.139981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
62.1%
na 21
31.8%
2 3
 
4.5%
3 1
 
1.5%

샌드기수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
37 
<NA>
21 
2
8 

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 37
56.1%
<NA> 21
31.8%
2 8
 
12.1%

Length

2024-05-11T04:17:59.633064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:00.094603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 37
56.1%
na 21
31.8%
2 8
 
12.1%

진공매몰기수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
41 
<NA>
21 
2
 
4

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 41
62.1%
<NA> 21
31.8%
2 4
 
6.1%

Length

2024-05-11T04:18:00.809924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:01.395210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
62.1%
na 21
31.8%
2 4
 
6.1%

핀덱스수
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
44 
<NA>
21 
2
 
1

Length

Max length4
Median length1
Mean length1.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 44
66.7%
<NA> 21
31.8%
2 1
 
1.5%

Length

2024-05-11T04:18:02.488208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:18:02.974094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 44
66.7%
na 21
31.8%
2 1
 
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03100000PHMB31995310003406230000119951202<NA>3폐업3폐업20141103<NA><NA><NA>931-0933<NA>139820서울특별시 노원구 상계5동 169번지 14호서울특별시 노원구 한글비석로24길 13, 3층 (상계동)139815태성치과기공소2014-11-03 11:38:03I2018-08-31 23:59:59.0<NA>206245.744865462133.692772112111111111111
13100000PHMB31997310003406230000119971120<NA>1영업/정상13영업중<NA><NA><NA><NA>943-1077<NA>139845서울특별시 노원구 월계4동 298번지 9호서울특별시 노원구 광운로 124 (월계동)1885예진치과기공소2012-01-27 16:14:28I2018-08-31 23:59:59.0<NA>205156.5111458442.758753112111111111221
23100000PHMB31998310003406230000119981128<NA>1영업/정상13영업중<NA><NA><NA><NA>975-4035<NA>139240서울특별시 노원구 공릉동 621번지 7호 (동일로174길 9-44) 2층서울특별시 노원구 동일로174길 9-44, 2층 (공릉동)1849아트플러스치과기공소2011-11-28 15:44:13I2018-08-31 23:59:59.0<NA>206645.058349457431.66862111211111111<NA><NA><NA><NA>
33100000PHMB32000310003406230000120000619<NA>3폐업3폐업20090612<NA><NA><NA>932-2522<NA>139856서울특별시 노원구 중계4동 157번지 41호<NA><NA>Y.S.치과기공소2009-06-12 16:40:32I2018-08-31 23:59:59.0<NA><NA><NA>11211111111<NA><NA><NA><NA>
43100000PHMB32000310003406230000220000619<NA>1영업/정상13영업중<NA><NA><NA><NA>939-8588<NA><NA>서울특별시 노원구 상계동 581번지 6호 동진빌딩 405호서울특별시 노원구 상계로1길 74 (상계동, 동진상가)1693유니크치과기공소2016-06-20 13:30:30I2018-08-31 23:59:59.0<NA>205359.545639461892.934798112111111111111
53100000PHMB32001310003406230000120011101<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>139810서울특별시 노원구 상계3.4동 서울특별시 노원구 상계동 6구역51블럭1롯트(4층 404호)(상계동 77-51)서울특별시 노원구 덕릉로 804 (상계동, 상계대림프라자)1646대연치과기공소2016-05-11 17:40:53I2018-08-31 23:59:59.0<NA>206989.98549462914.032631112111111111221
63100000PHMB32001310003406230000220011101<NA>3폐업3폐업20120713<NA><NA><NA>931-1849<NA>139856서울특별시 노원구 중계4동 157번지 26호 보고프라자 6층<NA><NA>뷰티플치과기공소2012-07-16 16:18:35I2018-08-31 23:59:59.0<NA><NA><NA>112111111111111
73100000PHMB32001310003406230000320010921<NA>3폐업3폐업20141014<NA><NA><NA>3392-0956<NA>139818서울특별시 노원구 상계2동 396번지 13호서울특별시 노원구 상계로9가길 3 (상계동)139818에녹치과기공소2014-10-14 10:59:26I2018-08-31 23:59:59.0<NA>205792.913929461777.081335112111111111211
83100000PHMB32001310003406230000420010314<NA>3폐업3폐업20120731<NA><NA><NA>938-2804<NA>139818서울특별시 노원구 상계2동 332번지 3호 5층서울특별시 노원구 노해로81길 22-22, 5층 (상계동)139816에스엠(S.M)치과기공소2012-10-29 11:45:09I2018-08-31 23:59:59.0<NA>205557.268347461502.131912112111111111111
93100000PHMB32001310003406230000520010410<NA>1영업/정상13영업중<NA><NA><NA><NA>3392-2729<NA>139821서울특별시 노원구 상계2동 1283번지 (성원아파트상가 102,103호)서울특별시 노원구 노원로34길 34 (상계동, 성원아파트상가 102,103)1679하이테크치과기공소2011-12-15 11:47:13I2018-08-31 23:59:59.0<NA>205741.120118462000.122393112111111111111
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
563100000PHMB32020310003406230000420201028<NA>3폐업3폐업20220302<NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 743 한보아파트서울특별시 노원구 공릉로46길 23, 한보아파트 303호 (공릉동)1813NSC치과기공소2022-03-08 17:55:47U2022-03-10 02:40:00.0<NA>207019.72734458418.229301116113411112111
573100000PHMB32021310003406230000120211108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6954-2804<NA><NA>서울특별시 노원구 상계동 456-30 금동빌딩서울특별시 노원구 한글비석로48길 12, 금동빌딩 301호 (상계동)1656범아(Boem, A)치과기공소2021-11-09 16:20:44I2021-11-11 00:22:54.0<NA>205868.90566462492.411892113111111111111
583100000PHMB32022310003406230000120220117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 173-1 벽산아파트서울특별시 노원구 한글비석로 396, 109동 지하층 24호 (상계동, 벽산아파트)1663아틀리에치과기공소2022-01-20 09:28:49U2022-01-22 02:40:00.0<NA>206356.052509462123.008335113111111111111
593100000PHMB32022310003406230000220220614<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 621-16서울특별시 노원구 동일로174길 13, 2층 202호 (공릉동)1849이앤제이치과기공소2022-06-14 15:12:32I2021-12-05 23:06:00.0<NA>206660.996049457404.760184<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603100000PHMB32022310003406230000320220816<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 322-5 동양빌딩서울특별시 노원구 상계로10길 29-1, 동양빌딩 2층 (상계동)1696케이(K)치과기공소2022-11-03 14:56:20D2021-11-01 00:05:00.0<NA>205938.783931461548.441496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613100000PHMB3202231000340623000042016-03-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 322-5 동양빌딩서울특별시 노원구 상계로10길 29-1, 동양빌딩 2층 (상계동)1696케이(K)치과기공소2023-10-04 11:34:02U2022-10-31 00:06:00.0<NA>205938.783931461548.441496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623100000PHMB3202331000340623000012023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-954-2881<NA><NA>서울특별시 노원구 공릉동 577-17서울특별시 노원구 동일로178길 11-13, 3층 (공릉동)1848하이스트치과기공소2023-03-02 09:12:16I2022-12-03 00:04:00.0<NA>206539.812823457721.245351<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633100000PHMB3202331000340623000022023-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 621-7서울특별시 노원구 동일로174길 9-44, 소망빌딩 1층 (공릉동)1849N디지털덴탈랩치과기공소2023-03-23 16:38:20I2022-12-02 22:05:00.0<NA>206645.058349457431.668621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643100000PHMB3202331000340623000032023-07-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 389-45 로뎀교회서울특별시 노원구 상계로23다길 18, 로뎀교회 5층 (상계동)1684시온치과기공소2023-07-25 13:21:15I2022-12-06 22:08:00.0<NA>206064.999084461875.989132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
653100000PHMB3202331000340623000042023-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 322-5 동양빌딩서울특별시 노원구 상계로10길 29-1, 동양빌딩 2층 (상계동)1696웰치과기공소2023-10-05 09:08:06I2022-10-31 00:07:00.0<NA>205938.783931461548.441496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>