Overview

Dataset statistics

Number of variables40
Number of observations134
Missing cells957
Missing cells (%)17.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.5 KiB
Average record size in memory348.0 B

Variable types

Categorical22
Text5
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16477/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 134 (100.0%) missing valuesMissing
폐업일자 has 65 (48.5%) missing valuesMissing
휴업시작일자 has 134 (100.0%) missing valuesMissing
휴업종료일자 has 134 (100.0%) missing valuesMissing
재개업일자 has 134 (100.0%) missing valuesMissing
전화번호 has 29 (21.6%) missing valuesMissing
소재지면적 has 134 (100.0%) missing valuesMissing
지번주소 has 8 (6.0%) missing valuesMissing
도로명우편번호 has 20 (14.9%) missing valuesMissing
업태구분명 has 134 (100.0%) missing valuesMissing
좌표정보(X) has 3 (2.2%) missing valuesMissing
좌표정보(Y) has 3 (2.2%) missing valuesMissing
기공용모터수 has 25 (18.7%) 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 started2024-04-06 12:46:45.049592
Analysis finished2024-04-06 12:46:46.022511
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3230000
134 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 134
100.0%

Length

2024-04-06T21:46:46.244577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:46.421975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 134
100.0%

관리번호
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:46:46.755441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3350
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

Unique134 ?
Unique (%)100.0%

Sample

1st rowPHMB319903230034062300001
2nd rowPHMB319913230034062300001
3rd rowPHMB319923230034062300001
4th rowPHMB319933230034062300001
5th rowPHMB319943230034062300001
ValueCountFrequency (%)
phmb319903230034062300001 1
 
0.7%
phmb320133230034062300004 1
 
0.7%
phmb320163230034062300002 1
 
0.7%
phmb320153230034062300006 1
 
0.7%
phmb320153230034062300005 1
 
0.7%
phmb320153230034062300003 1
 
0.7%
phmb320153230034062300002 1
 
0.7%
phmb320153230034062300001 1
 
0.7%
phmb320143230034062300005 1
 
0.7%
phmb320143230034062300004 1
 
0.7%
Other values (124) 124
92.5%
2024-04-06T21:46:47.502425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1125
33.6%
3 706
21.1%
2 450
 
13.4%
4 160
 
4.8%
6 154
 
4.6%
P 134
 
4.0%
H 134
 
4.0%
M 134
 
4.0%
B 134
 
4.0%
1 111
 
3.3%
Other values (4) 108
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2814
84.0%
Uppercase Letter 536
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1125
40.0%
3 706
25.1%
2 450
 
16.0%
4 160
 
5.7%
6 154
 
5.5%
1 111
 
3.9%
9 45
 
1.6%
5 26
 
0.9%
8 22
 
0.8%
7 15
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 134
25.0%
H 134
25.0%
M 134
25.0%
B 134
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2814
84.0%
Latin 536
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1125
40.0%
3 706
25.1%
2 450
 
16.0%
4 160
 
5.7%
6 154
 
5.5%
1 111
 
3.9%
9 45
 
1.6%
5 26
 
0.9%
8 22
 
0.8%
7 15
 
0.5%
Latin
ValueCountFrequency (%)
P 134
25.0%
H 134
25.0%
M 134
25.0%
B 134
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1125
33.6%
3 706
21.1%
2 450
 
13.4%
4 160
 
4.8%
6 154
 
4.6%
P 134
 
4.0%
H 134
 
4.0%
M 134
 
4.0%
B 134
 
4.0%
1 111
 
3.3%
Other values (4) 108
 
3.2%

인허가일자
Date

Distinct131
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1990-12-19 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T21:46:47.835786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:46:48.229500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
69 
1
60 
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 69
51.5%
1 60
44.8%
5 5
 
3.7%

Length

2024-04-06T21:46:48.538406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:48.732277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 69
51.5%
1 60
44.8%
5 5
 
3.7%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
69 
영업/정상
60 
제외/삭제/전출
 
5

Length

Max length8
Median length2
Mean length3.5671642
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 69
51.5%
영업/정상 60
44.8%
제외/삭제/전출 5
 
3.7%

Length

2024-04-06T21:46:48.953652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:49.160425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 69
51.5%
영업/정상 60
44.8%
제외/삭제/전출 5
 
3.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3
69 
13
60 
15
 
5

Length

Max length2
Median length1
Mean length1.4850746
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 69
51.5%
13 60
44.8%
15 5
 
3.7%

Length

2024-04-06T21:46:49.356193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:49.553518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 69
51.5%
13 60
44.8%
15 5
 
3.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
폐업
69 
영업중
60 
전출
 
5

Length

Max length3
Median length2
Mean length2.4477612
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 69
51.5%
영업중 60
44.8%
전출 5
 
3.7%

Length

2024-04-06T21:46:49.765724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:49.971033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 69
51.5%
영업중 60
44.8%
전출 5
 
3.7%

폐업일자
Date

MISSING 

Distinct67
Distinct (%)97.1%
Missing65
Missing (%)48.5%
Memory size1.2 KiB
Minimum2009-03-11 00:00:00
Maximum2023-06-26 00:00:00
2024-04-06T21:46:50.213911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:46:50.556145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct99
Distinct (%)94.3%
Missing29
Missing (%)21.6%
Memory size1.2 KiB
2024-04-06T21:46:51.083263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.0190476
Min length8

Characters and Unicode

Total characters947
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

Unique93 ?
Unique (%)88.6%

Sample

1st row415-6548
2nd row430-8290
3rd row02-421-6185
4th row2202-1234
5th row425-4560
ValueCountFrequency (%)
417-2558 2
 
1.9%
418-2806 2
 
1.9%
425-4560 2
 
1.9%
02-406-2808 2
 
1.9%
412-2884 2
 
1.9%
430-7026 2
 
1.9%
02-415-5067 1
 
1.0%
02-461-3752 1
 
1.0%
02-3142-0078 1
 
1.0%
02-477-2803 1
 
1.0%
Other values (89) 89
84.8%
2024-04-06T21:46:51.867737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 150
15.8%
4 141
14.9%
- 132
13.9%
0 130
13.7%
8 98
10.3%
1 60
 
6.3%
7 60
 
6.3%
5 55
 
5.8%
3 49
 
5.2%
6 45
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 815
86.1%
Dash Punctuation 132
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 150
18.4%
4 141
17.3%
0 130
16.0%
8 98
12.0%
1 60
 
7.4%
7 60
 
7.4%
5 55
 
6.7%
3 49
 
6.0%
6 45
 
5.5%
9 27
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 947
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 150
15.8%
4 141
14.9%
- 132
13.9%
0 130
13.7%
8 98
10.3%
1 60
 
6.3%
7 60
 
6.3%
5 55
 
5.8%
3 49
 
5.2%
6 45
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 150
15.8%
4 141
14.9%
- 132
13.9%
0 130
13.7%
8 98
10.3%
1 60
 
6.3%
7 60
 
6.3%
5 55
 
5.8%
3 49
 
5.2%
6 45
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Categorical

Distinct38
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
57 
138170
8 
138160
7 
138050
 
5
138849
 
5
Other values (33)
52 

Length

Max length7
Median length6
Mean length5.1641791
Min length4

Unique

Unique23 ?
Unique (%)17.2%

Sample

1st row138220
2nd row<NA>
3rd row138190
4th row138170
5th row138956

Common Values

ValueCountFrequency (%)
<NA> 57
42.5%
138170 8
 
6.0%
138160 7
 
5.2%
138050 5
 
3.7%
138849 5
 
3.7%
138850 4
 
3.0%
138220 3
 
2.2%
138802 3
 
2.2%
138200 3
 
2.2%
138864 3
 
2.2%
Other values (28) 36
26.9%

Length

2024-04-06T21:46:52.130063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 57
42.5%
138170 8
 
6.0%
138160 7
 
5.2%
138050 5
 
3.7%
138849 5
 
3.7%
138850 4
 
3.0%
138220 3
 
2.2%
138802 3
 
2.2%
138200 3
 
2.2%
138864 3
 
2.2%
Other values (28) 36
26.9%

지번주소
Text

MISSING 

Distinct120
Distinct (%)95.2%
Missing8
Missing (%)6.0%
Memory size1.2 KiB
2024-04-06T21:46:52.539907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length25.18254
Min length16

Characters and Unicode

Total characters3173
Distinct characters115
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

Unique114 ?
Unique (%)90.5%

Sample

1st row서울특별시 송파구 잠실동 214번지 17호
2nd row서울특별시 송파구 오금동 130-9
3rd row서울특별시 송파구 석촌동 57번지 3호 3층
4th row서울특별시 송파구 송파동 59번지 10호 2층
5th row서울특별시 송파구 가락본동 175번지 11호
ValueCountFrequency (%)
서울특별시 126
 
18.0%
송파구 126
 
18.0%
2층 21
 
3.0%
가락동 19
 
2.7%
송파1동 13
 
1.9%
3호 12
 
1.7%
송파동 12
 
1.7%
문정동 12
 
1.7%
석촌동 10
 
1.4%
3층 9
 
1.3%
Other values (175) 341
48.6%
2024-04-06T21:46:53.660369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
579
18.2%
파 154
 
4.9%
송 152
 
4.8%
1 133
 
4.2%
동 129
 
4.1%
시 127
 
4.0%
서 126
 
4.0%
특 126
 
4.0%
별 126
 
4.0%
구 126
 
4.0%
Other values (105) 1395
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1946
61.3%
Decimal Number 616
 
19.4%
Space Separator 579
 
18.2%
Dash Punctuation 14
 
0.4%
Uppercase Letter 9
 
0.3%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 154
 
7.9%
송 152
 
7.8%
동 129
 
6.6%
시 127
 
6.5%
서 126
 
6.5%
특 126
 
6.5%
별 126
 
6.5%
구 126
 
6.5%
울 126
 
6.5%
호 116
 
6.0%
Other values (83) 638
32.8%
Decimal Number
ValueCountFrequency (%)
1 133
21.6%
2 107
17.4%
3 65
10.6%
0 59
9.6%
4 55
8.9%
5 54
8.8%
9 43
 
7.0%
7 37
 
6.0%
6 36
 
5.8%
8 27
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
22.2%
C 2
22.2%
S 1
11.1%
K 1
11.1%
I 1
11.1%
D 1
11.1%
V 1
11.1%
Space Separator
ValueCountFrequency (%)
579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1946
61.3%
Common 1218
38.4%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 154
 
7.9%
송 152
 
7.8%
동 129
 
6.6%
시 127
 
6.5%
서 126
 
6.5%
특 126
 
6.5%
별 126
 
6.5%
구 126
 
6.5%
울 126
 
6.5%
호 116
 
6.0%
Other values (83) 638
32.8%
Common
ValueCountFrequency (%)
579
47.5%
1 133
 
10.9%
2 107
 
8.8%
3 65
 
5.3%
0 59
 
4.8%
4 55
 
4.5%
5 54
 
4.4%
9 43
 
3.5%
7 37
 
3.0%
6 36
 
3.0%
Other values (5) 50
 
4.1%
Latin
ValueCountFrequency (%)
B 2
22.2%
C 2
22.2%
S 1
11.1%
K 1
11.1%
I 1
11.1%
D 1
11.1%
V 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1946
61.3%
ASCII 1227
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
579
47.2%
1 133
 
10.8%
2 107
 
8.7%
3 65
 
5.3%
0 59
 
4.8%
4 55
 
4.5%
5 54
 
4.4%
9 43
 
3.5%
7 37
 
3.0%
6 36
 
2.9%
Other values (12) 59
 
4.8%
Hangul
ValueCountFrequency (%)
파 154
 
7.9%
송 152
 
7.8%
동 129
 
6.6%
시 127
 
6.5%
서 126
 
6.5%
특 126
 
6.5%
별 126
 
6.5%
구 126
 
6.5%
울 126
 
6.5%
호 116
 
6.0%
Other values (83) 638
32.8%

도로명주소
Text

Distinct128
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:46:54.188699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40.5
Mean length31.985075
Min length22

Characters and Unicode

Total characters4286
Distinct characters143
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

Unique122 ?
Unique (%)91.0%

Sample

1st row서울특별시 송파구 올림픽로12길 38 (잠실동)
2nd row서울특별시 송파구 마천로26길 6, 3층 (오금동)
3rd row서울특별시 송파구 석촌호수로18길 24, 3층 (석촌동)
4th row서울특별시 송파구 오금로 144 (송파동,2층)
5th row서울특별시 송파구 오금로46길 5-1 (가락동)
ValueCountFrequency (%)
서울특별시 134
 
15.9%
송파구 134
 
15.9%
2층 31
 
3.7%
가락동 28
 
3.3%
송파동 22
 
2.6%
잠실동 15
 
1.8%
3층 15
 
1.8%
4층 14
 
1.7%
문정동 13
 
1.5%
석촌동 11
 
1.3%
Other values (255) 428
50.7%
2024-04-06T21:46:55.126535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
711
 
16.6%
송 179
 
4.2%
파 172
 
4.0%
2 160
 
3.7%
동 154
 
3.6%
시 136
 
3.2%
서 135
 
3.1%
로 135
 
3.1%
) 134
 
3.1%
( 134
 
3.1%
Other values (133) 2236
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2394
55.9%
Decimal Number 730
 
17.0%
Space Separator 711
 
16.6%
Close Punctuation 134
 
3.1%
Open Punctuation 134
 
3.1%
Other Punctuation 134
 
3.1%
Dash Punctuation 37
 
0.9%
Uppercase Letter 12
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 179
 
7.5%
파 172
 
7.2%
동 154
 
6.4%
시 136
 
5.7%
서 135
 
5.6%
로 135
 
5.6%
울 134
 
5.6%
특 134
 
5.6%
별 134
 
5.6%
구 134
 
5.6%
Other values (111) 947
39.6%
Decimal Number
ValueCountFrequency (%)
2 160
21.9%
1 127
17.4%
3 87
11.9%
4 86
11.8%
0 79
10.8%
5 48
 
6.6%
6 41
 
5.6%
7 36
 
4.9%
8 34
 
4.7%
9 32
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 5
41.7%
C 2
 
16.7%
S 1
 
8.3%
K 1
 
8.3%
D 1
 
8.3%
I 1
 
8.3%
V 1
 
8.3%
Space Separator
ValueCountFrequency (%)
711
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2394
55.9%
Common 1880
43.9%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 179
 
7.5%
파 172
 
7.2%
동 154
 
6.4%
시 136
 
5.7%
서 135
 
5.6%
로 135
 
5.6%
울 134
 
5.6%
특 134
 
5.6%
별 134
 
5.6%
구 134
 
5.6%
Other values (111) 947
39.6%
Common
ValueCountFrequency (%)
711
37.8%
2 160
 
8.5%
) 134
 
7.1%
( 134
 
7.1%
, 134
 
7.1%
1 127
 
6.8%
3 87
 
4.6%
4 86
 
4.6%
0 79
 
4.2%
5 48
 
2.6%
Other values (5) 180
 
9.6%
Latin
ValueCountFrequency (%)
B 5
41.7%
C 2
 
16.7%
S 1
 
8.3%
K 1
 
8.3%
D 1
 
8.3%
I 1
 
8.3%
V 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2394
55.9%
ASCII 1892
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
711
37.6%
2 160
 
8.5%
) 134
 
7.1%
( 134
 
7.1%
, 134
 
7.1%
1 127
 
6.7%
3 87
 
4.6%
4 86
 
4.5%
0 79
 
4.2%
5 48
 
2.5%
Other values (12) 192
 
10.1%
Hangul
ValueCountFrequency (%)
송 179
 
7.5%
파 172
 
7.2%
동 154
 
6.4%
시 136
 
5.7%
서 135
 
5.6%
로 135
 
5.6%
울 134
 
5.6%
특 134
 
5.6%
별 134
 
5.6%
구 134
 
5.6%
Other values (111) 947
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)71.1%
Missing20
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean37202.667
Minimum5512
Maximum138908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:46:55.451727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5512
5-th percentile5529.95
Q15624.75
median5718
Q35854
95-th percentile138855.5
Maximum138908
Range133396
Interquartile range (IQR)229.25

Descriptive statistics

Standard deviation56829.212
Coefficient of variation (CV)1.5275575
Kurtosis-0.43402076
Mean37202.667
Median Absolute Deviation (MAD)108.5
Skewness1.2545405
Sum4241104
Variance3.2295593 × 109
MonotonicityNot monotonic
2024-04-06T21:46:55.773672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5548 4
 
3.0%
138864 3
 
2.2%
138802 3
 
2.2%
138850 3
 
2.2%
5714 3
 
2.2%
5820 3
 
2.2%
138849 3
 
2.2%
5520 3
 
2.2%
5713 2
 
1.5%
5560 2
 
1.5%
Other values (71) 85
63.4%
(Missing) 20
 
14.9%
ValueCountFrequency (%)
5512 1
 
0.7%
5513 1
 
0.7%
5520 3
2.2%
5528 1
 
0.7%
5531 1
 
0.7%
5544 1
 
0.7%
5548 4
3.0%
5560 2
1.5%
5561 1
 
0.7%
5562 1
 
0.7%
ValueCountFrequency (%)
138908 1
 
0.7%
138879 1
 
0.7%
138864 3
2.2%
138862 1
 
0.7%
138852 1
 
0.7%
138851 1
 
0.7%
138850 3
2.2%
138849 3
2.2%
138847 1
 
0.7%
138844 1
 
0.7%

사업장명
Text

Distinct129
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-06T21:46:56.241882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length20
Mean length9.4029851
Min length6

Characters and Unicode

Total characters1260
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)92.5%

Sample

1st row현정치과기공소
2nd row덴텍매니아치과기공소
3rd row쌍용치과기공소
4th row티피치과기공소
5th row탑(Top)치과기공소
ValueCountFrequency (%)
치과기공소 26
 
15.0%
하이텍치과기공소 2
 
1.2%
b&g 2
 
1.2%
jk(제이케이)치과기공소 2
 
1.2%
탑(top)치과기공소 2
 
1.2%
지오치과기공소 2
 
1.2%
dental 2
 
1.2%
lab 2
 
1.2%
바른치과기공소 1
 
0.6%
에프엔에이 1
 
0.6%
Other values (131) 131
75.7%
2024-04-06T21:46:56.978755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 131
 
10.4%
소 130
 
10.3%
기 129
 
10.2%
공 129
 
10.2%
과 128
 
10.2%
39
 
3.1%
이 25
 
2.0%
( 22
 
1.7%
) 22
 
1.7%
스 20
 
1.6%
Other values (190) 485
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1028
81.6%
Uppercase Letter 77
 
6.1%
Lowercase Letter 58
 
4.6%
Space Separator 39
 
3.1%
Open Punctuation 22
 
1.7%
Close Punctuation 22
 
1.7%
Other Punctuation 7
 
0.6%
Dash Punctuation 5
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 131
12.7%
소 130
12.6%
기 129
12.5%
공 129
12.5%
과 128
12.5%
이 25
 
2.4%
스 20
 
1.9%
에 12
 
1.2%
리 10
 
1.0%
아 10
 
1.0%
Other values (147) 304
29.6%
Uppercase Letter
ValueCountFrequency (%)
T 10
13.0%
L 8
 
10.4%
C 7
 
9.1%
D 7
 
9.1%
B 6
 
7.8%
S 4
 
5.2%
E 4
 
5.2%
J 3
 
3.9%
I 3
 
3.9%
H 3
 
3.9%
Other values (11) 22
28.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
13.8%
t 8
13.8%
a 8
13.8%
l 6
10.3%
n 6
10.3%
o 5
8.6%
i 4
6.9%
p 4
6.9%
r 3
 
5.2%
s 2
 
3.4%
Other values (4) 4
6.9%
Other Punctuation
ValueCountFrequency (%)
. 4
57.1%
& 3
42.9%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1028
81.6%
Latin 135
 
10.7%
Common 97
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 131
12.7%
소 130
12.6%
기 129
12.5%
공 129
12.5%
과 128
12.5%
이 25
 
2.4%
스 20
 
1.9%
에 12
 
1.2%
리 10
 
1.0%
아 10
 
1.0%
Other values (147) 304
29.6%
Latin
ValueCountFrequency (%)
T 10
 
7.4%
e 8
 
5.9%
t 8
 
5.9%
a 8
 
5.9%
L 8
 
5.9%
C 7
 
5.2%
D 7
 
5.2%
l 6
 
4.4%
n 6
 
4.4%
B 6
 
4.4%
Other values (25) 61
45.2%
Common
ValueCountFrequency (%)
39
40.2%
( 22
22.7%
) 22
22.7%
- 5
 
5.2%
. 4
 
4.1%
& 3
 
3.1%
6 1
 
1.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1028
81.6%
ASCII 232
 
18.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 131
12.7%
소 130
12.6%
기 129
12.5%
공 129
12.5%
과 128
12.5%
이 25
 
2.4%
스 20
 
1.9%
에 12
 
1.2%
리 10
 
1.0%
아 10
 
1.0%
Other values (147) 304
29.6%
ASCII
ValueCountFrequency (%)
39
16.8%
( 22
 
9.5%
) 22
 
9.5%
T 10
 
4.3%
e 8
 
3.4%
t 8
 
3.4%
a 8
 
3.4%
L 8
 
3.4%
C 7
 
3.0%
D 7
 
3.0%
Other values (33) 93
40.1%

최종수정일자
Date

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2009-06-03 12:45:09
Maximum2024-04-03 17:00:51
2024-04-06T21:46:57.236046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:46:57.495276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
87 
U
47 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 87
64.9%
U 47
35.1%

Length

2024-04-06T21:46:57.736466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:57.903303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 87
64.9%
u 47
35.1%

데이터갱신일자
Categorical

Distinct49
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2018-08-31 23:59:59.0
76 
2018-11-25 02:36:20.0
 
7
2021-10-16 02:40:00.0
 
3
2021-08-11 02:40:00.0
 
2
2022-12-05 22:09:00.0
 
2
Other values (44)
44 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique44 ?
Unique (%)32.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2021-12-04 23:03:00.0
3rd row2020-08-01 02:40:00.0
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 76
56.7%
2018-11-25 02:36:20.0 7
 
5.2%
2021-10-16 02:40:00.0 3
 
2.2%
2021-08-11 02:40:00.0 2
 
1.5%
2022-12-05 22:09:00.0 2
 
1.5%
2021-03-18 02:40:00.0 1
 
0.7%
2020-08-01 02:40:00.0 1
 
0.7%
2021-11-24 02:40:00.0 1
 
0.7%
2019-06-09 02:40:00.0 1
 
0.7%
2022-12-09 00:07:00.0 1
 
0.7%
Other values (39) 39
29.1%

Length

2024-04-06T21:46:58.069072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 76
28.4%
23:59:59.0 76
28.4%
02:40:00.0 21
 
7.8%
2018-11-25 7
 
2.6%
02:36:20.0 7
 
2.6%
2021-10-16 3
 
1.1%
2022-12-05 3
 
1.1%
2022-12-03 3
 
1.1%
2022-11-01 2
 
0.7%
22:00:00.0 2
 
0.7%
Other values (59) 68
25.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)82.4%
Missing3
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean210107.41
Minimum206958.78
Maximum213493.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:46:58.267668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206958.78
5-th percentile207351.22
Q1209509.48
median210236
Q3210950.25
95-th percentile212597.2
Maximum213493.76
Range6534.9757
Interquartile range (IQR)1440.7692

Descriptive statistics

Standard deviation1418.2105
Coefficient of variation (CV)0.0067499312
Kurtosis0.017884682
Mean210107.41
Median Absolute Deviation (MAD)715.98362
Skewness-0.19797391
Sum27524070
Variance2011321.1
MonotonicityNot monotonic
2024-04-06T21:46:58.500621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209717.432863646 4
 
3.0%
209590.470226559 2
 
1.5%
211559.017223612 2
 
1.5%
210349.160753667 2
 
1.5%
210673.038793827 2
 
1.5%
212791.171632195 2
 
1.5%
209730.221952736 2
 
1.5%
209689.992942064 2
 
1.5%
207134.007440747 2
 
1.5%
209374.616051507 2
 
1.5%
Other values (98) 109
81.3%
(Missing) 3
 
2.2%
ValueCountFrequency (%)
206958.784771636 1
0.7%
207134.007440747 2
1.5%
207178.965642834 1
0.7%
207222.404796277 1
0.7%
207225.233754449 1
0.7%
207307.794922509 1
0.7%
207394.644439281 1
0.7%
207472.755895569 1
0.7%
207586.810678726 1
0.7%
207618.715003127 2
1.5%
ValueCountFrequency (%)
213493.760461226 1
0.7%
213221.075176619 1
0.7%
212791.171632195 2
1.5%
212786.253037106 1
0.7%
212720.625333519 1
0.7%
212645.539631084 1
0.7%
212548.861429722 1
0.7%
212225.590084667 1
0.7%
212118.91252153 1
0.7%
212102.129243585 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct108
Distinct (%)82.4%
Missing3
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean444768
Minimum442328.2
Maximum448596.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:46:58.773369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442328.2
5-th percentile442950.98
Q1443947.21
median444589.73
Q3445337.56
95-th percentile447936.71
Maximum448596.61
Range6268.4098
Interquartile range (IQR)1390.3456

Descriptive statistics

Standard deviation1311.0232
Coefficient of variation (CV)0.0029476563
Kurtosis1.1632877
Mean444768
Median Absolute Deviation (MAD)701.99363
Skewness0.95449722
Sum58264609
Variance1718781.9
MonotonicityNot monotonic
2024-04-06T21:46:59.022717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445370.032825455 4
 
3.0%
445737.319351432 2
 
1.5%
443875.673691888 2
 
1.5%
447970.864330138 2
 
1.5%
445488.984020696 2
 
1.5%
444047.60835495 2
 
1.5%
445236.36772971 2
 
1.5%
444486.863307165 2
 
1.5%
445148.49513527 2
 
1.5%
445143.007051915 2
 
1.5%
Other values (98) 109
81.3%
(Missing) 3
 
2.2%
ValueCountFrequency (%)
442328.200332051 1
0.7%
442408.183556076 1
0.7%
442448.0 1
0.7%
442560.861032709 1
0.7%
442574.0 1
0.7%
442821.102449885 1
0.7%
442873.001445637 1
0.7%
443028.963286238 1
0.7%
443127.535494347 1
0.7%
443139.565932951 1
0.7%
ValueCountFrequency (%)
448596.610120879 1
0.7%
448406.785482205 1
0.7%
448065.259271494 1
0.7%
447991.019236835 1
0.7%
447970.864330138 2
1.5%
447944.098305311 1
0.7%
447929.330532003 2
1.5%
447491.32548589 1
0.7%
447459.242238036 1
0.7%
447456.770216468 1
0.7%

기공용레스수
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
104 
<NA>
25 
2
 
5

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 104
77.6%
<NA> 25
 
18.7%
2 5
 
3.7%

Length

2024-04-06T21:46:59.271121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:46:59.474017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 104
77.6%
na 25
 
18.7%
2 5
 
3.7%

원심주조기수
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
98 
<NA>
25 
2
 
9
3
 
2

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 98
73.1%
<NA> 25
 
18.7%
2 9
 
6.7%
3 2
 
1.5%

Length

2024-04-06T21:46:59.806465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:00.052344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
73.1%
na 25
 
18.7%
2 9
 
6.7%
3 2
 
1.5%

기공용모터수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)11.0%
Missing25
Missing (%)18.7%
Infinite0
Infinite (%)0.0%
Mean4.5137615
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-04-06T21:47:00.293214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile10
Maximum15
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.7608865
Coefficient of variation (CV)0.61165981
Kurtosis4.2427932
Mean4.5137615
Median Absolute Deviation (MAD)1
Skewness1.9023412
Sum492
Variance7.6224941
MonotonicityNot monotonic
2024-04-06T21:47:00.509154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 33
24.6%
2 19
14.2%
5 16
11.9%
4 16
11.9%
8 7
 
5.2%
7 5
 
3.7%
6 4
 
3.0%
15 3
 
2.2%
10 3
 
2.2%
11 1
 
0.7%
Other values (2) 2
 
1.5%
(Missing) 25
18.7%
ValueCountFrequency (%)
1 1
 
0.7%
2 19
14.2%
3 33
24.6%
4 16
11.9%
5 16
11.9%
6 4
 
3.0%
7 5
 
3.7%
8 7
 
5.2%
9 1
 
0.7%
10 3
 
2.2%
ValueCountFrequency (%)
15 3
 
2.2%
11 1
 
0.7%
10 3
 
2.2%
9 1
 
0.7%
8 7
 
5.2%
7 5
 
3.7%
6 4
 
3.0%
5 16
11.9%
4 16
11.9%
3 33
24.6%

아세틸렌수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
109 
<NA>
25 

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 109
81.3%
<NA> 25
 
18.7%

Length

2024-04-06T21:47:00.787960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:01.000903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 109
81.3%
na 25
 
18.7%

치과용프레스수
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
102 
<NA>
25 
2
 
6
3
 
1

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 102
76.1%
<NA> 25
 
18.7%
2 6
 
4.5%
3 1
 
0.7%

Length

2024-04-06T21:47:01.236991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:01.456231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 102
76.1%
na 25
 
18.7%
2 6
 
4.5%
3 1
 
0.7%

전기로수
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
67 
2
32 
<NA>
25 
3
9 
4
 
1

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row1
2nd row<NA>
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 67
50.0%
2 32
23.9%
<NA> 25
 
18.7%
3 9
 
6.7%
4 1
 
0.7%

Length

2024-04-06T21:47:01.766163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:02.028439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 67
50.0%
2 32
23.9%
na 25
 
18.7%
3 9
 
6.7%
4 1
 
0.7%

포셀린로수
Categorical

Distinct6
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
68 
<NA>
25 
2
22 
3
14 
4
 
3

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row3
4th row1
5th row4

Common Values

ValueCountFrequency (%)
1 68
50.7%
<NA> 25
 
18.7%
2 22
 
16.4%
3 14
 
10.4%
4 3
 
2.2%
5 2
 
1.5%

Length

2024-04-06T21:47:02.270849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:02.591034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
50.7%
na 25
 
18.7%
2 22
 
16.4%
3 14
 
10.4%
4 3
 
2.2%
5 2
 
1.5%

초음파청소기수
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
96 
<NA>
25 
2
13 

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 96
71.6%
<NA> 25
 
18.7%
2 13
 
9.7%

Length

2024-04-06T21:47:02.806934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:03.017061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 96
71.6%
na 25
 
18.7%
2 13
 
9.7%

서베이어수
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
93 
<NA>
25 
2
12 
3
 
4

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 93
69.4%
<NA> 25
 
18.7%
2 12
 
9.0%
3 4
 
3.0%

Length

2024-04-06T21:47:03.331770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:03.509486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 93
69.4%
na 25
 
18.7%
2 12
 
9.0%
3 4
 
3.0%

진동기수
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
88 
<NA>
25 
2
19 
3
 
2

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 88
65.7%
<NA> 25
 
18.7%
2 19
 
14.2%
3 2
 
1.5%

Length

2024-04-06T21:47:03.790101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:04.073537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 88
65.7%
na 25
 
18.7%
2 19
 
14.2%
3 2
 
1.5%

트리머수
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
100 
<NA>
25 
2
 
9

Length

Max length4
Median length1
Mean length1.5597015
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 100
74.6%
<NA> 25
 
18.7%
2 9
 
6.7%

Length

2024-04-06T21:47:04.315222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:04.532523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
74.6%
na 25
 
18.7%
2 9
 
6.7%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
79 
<NA>
43 
2
12 

Length

Max length4
Median length1
Mean length1.9626866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 79
59.0%
<NA> 43
32.1%
2 12
 
9.0%

Length

2024-04-06T21:47:04.792516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:05.120556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 79
59.0%
na 43
32.1%
2 12
 
9.0%

샌드기수
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
58 
<NA>
43 
2
22 
3
10 
5
 
1

Length

Max length4
Median length1
Mean length1.9626866
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 58
43.3%
<NA> 43
32.1%
2 22
 
16.4%
3 10
 
7.5%
5 1
 
0.7%

Length

2024-04-06T21:47:05.369937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:05.616325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 58
43.3%
na 43
32.1%
2 22
 
16.4%
3 10
 
7.5%
5 1
 
0.7%

진공매몰기수
Categorical

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
75 
<NA>
43 
2
15 
4
 
1

Length

Max length4
Median length1
Mean length1.9626866
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 75
56.0%
<NA> 43
32.1%
2 15
 
11.2%
4 1
 
0.7%

Length

2024-04-06T21:47:05.860687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:06.077988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 75
56.0%
na 43
32.1%
2 15
 
11.2%
4 1
 
0.7%

핀덱스수
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
82 
<NA>
43 
2
9 

Length

Max length4
Median length1
Mean length1.9626866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 82
61.2%
<NA> 43
32.1%
2 9
 
6.7%

Length

2024-04-06T21:47:06.315131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:47:06.538356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
61.2%
na 43
32.1%
2 9
 
6.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03230000PHMB31990323003406230000119901219<NA>3폐업3폐업20090311<NA><NA><NA>415-6548<NA>138220서울특별시 송파구 잠실동 214번지 17호서울특별시 송파구 올림픽로12길 38 (잠실동)<NA>현정치과기공소2010-02-05 09:38:47I2018-08-31 23:59:59.0<NA>207307.794923445101.72025711211111111<NA><NA><NA><NA>
13230000PHMB31991323003406230000119910820<NA>1영업/정상13영업중<NA><NA><NA><NA>430-8290<NA><NA>서울특별시 송파구 오금동 130-9서울특별시 송파구 마천로26길 6, 3층 (오금동)5739덴텍매니아치과기공소2022-05-11 20:35:19U2021-12-04 23:03:00.0<NA>212225.590085444505.627496<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000PHMB31992323003406230000119921027<NA>1영업/정상13영업중<NA><NA><NA><NA>02-421-6185<NA>138190서울특별시 송파구 석촌동 57번지 3호 3층서울특별시 송파구 석촌호수로18길 24, 3층 (석촌동)5614쌍용치과기공소2020-07-30 17:16:23U2020-08-01 02:40:00.0<NA>208904.26763444741.867231127113313211121
33230000PHMB31993323003406230000119930113<NA>3폐업3폐업20110609<NA><NA><NA>2202-1234<NA>138170서울특별시 송파구 송파동 59번지 10호 2층서울특별시 송파구 오금로 144 (송파동,2층)<NA>티피치과기공소2011-06-09 15:40:44I2018-08-31 23:59:59.0<NA>209708.299706445394.14736211211111111<NA><NA><NA><NA>
43230000PHMB31994323003406230000119940611<NA>3폐업3폐업20150618<NA><NA><NA>425-4560<NA>138956서울특별시 송파구 가락본동 175번지 11호서울특별시 송파구 오금로46길 5-1 (가락동)138811탑(Top)치과기공소2015-06-18 13:27:00I2018-08-31 23:59:59.0<NA>211985.039609443815.371065115112422212311
53230000PHMB31995323003406230000119950425<NA>1영업/정상13영업중<NA><NA><NA><NA>479-2042<NA>138040서울특별시 송파구 풍납동 500번지 2호 2층서울특별시 송파구 풍성로 69 (풍납동)5520엘리트치과기공소2014-04-24 14:13:13I2018-08-31 23:59:59.0<NA>210551.885796447929.330532125111111111111
63230000PHMB31996323003406230000119960319<NA>1영업/정상13영업중<NA><NA><NA><NA>400-1792<NA><NA><NA>서울특별시 송파구 백제고분로46길 8, 4층 401호 (송파동, 서암빌딩)5665미치과기공소2016-10-27 16:38:29I2018-08-31 23:59:59.0<NA>209830.636973445137.046663115112212111321
73230000PHMB31996323003406230000219961105<NA>3폐업3폐업20110217<NA><NA><NA>414-5675<NA>138050서울특별시 송파구 방이동 24번지 1호서울특별시 송파구 오금로11길 7-12 (방이동)<NA>아티스치과기공소2011-02-17 15:41:25I2018-08-31 23:59:59.0<NA>209454.477042445853.05949111211111111<NA><NA><NA><NA>
83230000PHMB31997323003406230000119970529<NA>3폐업3폐업20111201<NA><NA><NA>418-2889<NA>138050서울특별시 송파구 방이동 62번지 14호 3층서울특별시 송파구 올림픽로32길 22-17 (방이동,3층)<NA>하나치과기공소2011-12-27 17:03:47I2018-08-31 23:59:59.0<NA>209536.534565445714.236375113111111111111
93230000PHMB31997323003406230000219970827<NA>3폐업3폐업20150930<NA><NA><NA>409-4897<NA>138130서울특별시 송파구 오금동 151번지 2호 성진빌딩4층서울특별시 송파구 동남로 280, 4층 (오금동, 성진빌딩)5740아카데미치과기공소2015-10-06 10:13:02I2018-08-31 23:59:59.0<NA>212043.122816444256.303878114112112111211
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
1243230000PHMB3202232300340623000022022-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6052-2084<NA><NA><NA>서울특별시 송파구 송이로 97, 화영빌딩 2층 (가락동)5714제니스덴탈랩2024-04-03 17:00:51U2023-12-04 00:05:00.0<NA>210658.122687443943.189299<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253230000PHMB3202232300340623000032018-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍성로20길 5, 지하1층 (풍납동)5528코스치과기공소2023-06-27 15:31:10U2022-12-05 22:09:00.0<NA>210329.404102447944.098305<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263230000PHMB3202232300340623000052022-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 풍납동 500-2서울특별시 송파구 풍성로 69, 3층 (풍납동)5520EDL치과기공소2023-10-31 08:59:44U2022-11-01 00:02:00.0<NA>210551.885796447929.330532<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273230000PHMB32022323003406230000620221026<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7780-1172<NA><NA>서울특별시 송파구 문정동 42-6 레이102서울특별시 송파구 동남로 102, 레이102 5층 (문정동)5805달(DAL)치과기공소2022-10-26 15:27:53I2021-10-30 22:08:00.0<NA>210794.740105443028.963286<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283230000PHMB32022323003406230000720190527<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 216-8서울특별시 송파구 삼학사로8길 5, 지층 B03호 (석촌동)5679새로운치과기공소2022-11-07 10:11:41I2021-11-01 00:09:00.0<NA>208548.307562444217.102223<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293230000PHMB3202332300340623000012017-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 67서울특별시 송파구 백제고분로28길 33, 202호 (삼전동)5597네비치과기공소2023-03-07 20:58:20I2022-12-03 00:09:00.0<NA>207998.620656444206.426928<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1303230000PHMB3202332300340623000022023-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 67서울특별시 송파구 백제고분로28길 33, 202호 일부호 (삼전동)5597디지털아이콘덴탈랩(Digital iCon Dental LaB)2023-04-19 09:00:02I2022-12-03 22:01:00.0<NA>207998.620656444206.426928<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1313230000PHMB3202332300340623000032023-08-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 12-10서울특별시 송파구 송이로17길 54-27, 402호 (가락동)5702디에이(D.A) 치과기공소2023-08-18 08:57:20I2022-12-07 22:00:00.0<NA>211108.458492444321.800112<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1323230000PHMB3202332300340623000042023-12-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 63-3서울특별시 송파구 올림픽로32길 22-16, 302호 (방이동)5548Best den 치과기공소2023-12-28 09:21:36I2022-11-01 21:00:00.0<NA>209537.460789445741.757381<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1333230000PHMB3202432300340623000012024-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 642-3 문정역SKV1서울특별시 송파구 법원로 128, 문정역SKV1 B동 7층 705호 (문정동)5854비알(BR) 치과기공소2024-03-29 17:03:43I2023-12-02 21:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>