Overview

Dataset statistics

Number of variables40
Number of observations122
Missing cells805
Missing cells (%)16.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.5 KiB
Average record size in memory348.1 B

Variable types

Categorical22
Text5
DateTime3
Numeric5
Unsupported5

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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-16458/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
기공용레스수 is highly imbalanced (56.7%)Imbalance
아세틸렌수 is highly imbalanced (58.6%)Imbalance
치과용프레스수 is highly imbalanced (50.7%)Imbalance
트리머수 is highly imbalanced (50.7%)Imbalance
인허가취소일자 has 73 (59.8%) missing valuesMissing
폐업일자 has 57 (46.7%) missing valuesMissing
휴업시작일자 has 122 (100.0%) missing valuesMissing
휴업종료일자 has 122 (100.0%) missing valuesMissing
재개업일자 has 122 (100.0%) missing valuesMissing
전화번호 has 22 (18.0%) missing valuesMissing
소재지면적 has 122 (100.0%) missing valuesMissing
도로명우편번호 has 16 (13.1%) missing valuesMissing
업태구분명 has 122 (100.0%) missing valuesMissing
기공용모터수 has 24 (19.7%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 06:48:18.161189
Analysis finished2024-05-11 06:48:18.866697
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3040000
122 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 122
100.0%

Length

2024-05-11T15:48:18.993273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:19.185367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 122
100.0%

관리번호
Text

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:48:19.503972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3050
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

Unique122 ?
Unique (%)100.0%

Sample

1st rowPHMB319913040033062300001
2nd rowPHMB319923040033062300001
3rd rowPHMB319923040033062300002
4th rowPHMB319933040033062300001
5th rowPHMB319953040033062300001
ValueCountFrequency (%)
phmb319913040033062300001 1
 
0.8%
phmb320153040033062300003 1
 
0.8%
phmb320143040033062300001 1
 
0.8%
phmb320133040033062300010 1
 
0.8%
phmb320133040033062300009 1
 
0.8%
phmb320133040033062300007 1
 
0.8%
phmb320133040033062300006 1
 
0.8%
phmb320133040033062300005 1
 
0.8%
phmb320133040033062300004 1
 
0.8%
phmb320133040033062300003 1
 
0.8%
Other values (112) 112
91.8%
2024-05-11T15:48:20.153158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1136
37.2%
3 647
21.2%
2 280
 
9.2%
6 142
 
4.7%
4 137
 
4.5%
P 122
 
4.0%
H 122
 
4.0%
M 122
 
4.0%
B 122
 
4.0%
1 122
 
4.0%
Other values (4) 98
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2562
84.0%
Uppercase Letter 488
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1136
44.3%
3 647
25.3%
2 280
 
10.9%
6 142
 
5.5%
4 137
 
5.3%
1 122
 
4.8%
9 43
 
1.7%
5 21
 
0.8%
7 17
 
0.7%
8 17
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 122
25.0%
H 122
25.0%
M 122
25.0%
B 122
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2562
84.0%
Latin 488
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1136
44.3%
3 647
25.3%
2 280
 
10.9%
6 142
 
5.5%
4 137
 
5.3%
1 122
 
4.8%
9 43
 
1.7%
5 21
 
0.8%
7 17
 
0.7%
8 17
 
0.7%
Latin
ValueCountFrequency (%)
P 122
25.0%
H 122
25.0%
M 122
25.0%
B 122
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1136
37.2%
3 647
21.2%
2 280
 
9.2%
6 142
 
4.7%
4 137
 
4.5%
P 122
 
4.0%
H 122
 
4.0%
M 122
 
4.0%
B 122
 
4.0%
1 122
 
4.0%
Other values (4) 98
 
3.2%

인허가일자
Date

Distinct118
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1991-02-13 00:00:00
Maximum2023-10-16 00:00:00
2024-05-11T15:48:20.411750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:48:20.624712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)91.8%
Missing73
Missing (%)59.8%
Infinite0
Infinite (%)0.0%
Mean20127977
Minimum20081124
Maximum20180614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:48:20.841312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081124
5-th percentile20090428
Q120110210
median20130329
Q320150807
95-th percentile20170762
Maximum20180614
Range99490
Interquartile range (IQR)40597

Descriptive statistics

Standard deviation26265.325
Coefficient of variation (CV)0.0013049163
Kurtosis-0.83423858
Mean20127977
Median Absolute Deviation (MAD)20204
Skewness0.16660616
Sum9.8627087 × 108
Variance6.8986728 × 108
MonotonicityNot monotonic
2024-05-11T15:48:21.381438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
20090428 2
 
1.6%
20111031 2
 
1.6%
20120430 2
 
1.6%
20090616 2
 
1.6%
20130820 1
 
0.8%
20150807 1
 
0.8%
20151223 1
 
0.8%
20130108 1
 
0.8%
20150422 1
 
0.8%
20130528 1
 
0.8%
Other values (35) 35
28.7%
(Missing) 73
59.8%
ValueCountFrequency (%)
20081124 1
0.8%
20090223 1
0.8%
20090428 2
1.6%
20090616 2
1.6%
20091007 1
0.8%
20100514 1
0.8%
20100729 1
0.8%
20100831 1
0.8%
20101215 1
0.8%
20110125 1
0.8%
ValueCountFrequency (%)
20180614 1
0.8%
20180305 1
0.8%
20170802 1
0.8%
20170703 1
0.8%
20161122 1
0.8%
20160531 1
0.8%
20160322 1
0.8%
20160115 1
0.8%
20151223 1
0.8%
20150930 1
0.8%

영업상태코드
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
62 
1
56 
5
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
50.8%
1 56
45.9%
5 3
 
2.5%
4 1
 
0.8%

Length

2024-05-11T15:48:21.547994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:21.705924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
50.8%
1 56
45.9%
5 3
 
2.5%
4 1
 
0.8%

영업상태명
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
62 
영업/정상
56 
제외/삭제/전출
 
3
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.6229508
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
50.8%
영업/정상 56
45.9%
제외/삭제/전출 3
 
2.5%
취소/말소/만료/정지/중지 1
 
0.8%

Length

2024-05-11T15:48:21.889818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:22.078609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
50.8%
영업/정상 56
45.9%
제외/삭제/전출 3
 
2.5%
취소/말소/만료/정지/중지 1
 
0.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
62 
13
56 
15
 
3
24
 
1

Length

Max length2
Median length1
Mean length1.4918033
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 62
50.8%
13 56
45.9%
15 3
 
2.5%
24 1
 
0.8%

Length

2024-05-11T15:48:22.332051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:22.497213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 62
50.8%
13 56
45.9%
15 3
 
2.5%
24 1
 
0.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
62 
영업중
56 
전출
 
3
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.4754098
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 62
50.8%
영업중 56
45.9%
전출 3
 
2.5%
직권폐업 1
 
0.8%

Length

2024-05-11T15:48:22.686752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:22.866975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 62
50.8%
영업중 56
45.9%
전출 3
 
2.5%
직권폐업 1
 
0.8%

폐업일자
Date

MISSING 

Distinct65
Distinct (%)100.0%
Missing57
Missing (%)46.7%
Memory size1.1 KiB
Minimum2008-11-24 00:00:00
Maximum2024-03-12 00:00:00
2024-05-11T15:48:23.056049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:48:23.254759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct93
Distinct (%)93.0%
Missing22
Missing (%)18.0%
Memory size1.1 KiB
2024-05-11T15:48:23.674411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.99
Min length8

Characters and Unicode

Total characters899
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

Unique86 ?
Unique (%)86.0%

Sample

1st row457-0254
2nd row02-498-2828
3rd row466-2375
4th row456-8609
5th row02-452-2833
ValueCountFrequency (%)
6326-2804 2
 
2.0%
465-2805 2
 
2.0%
498-9878 2
 
2.0%
462-2204 2
 
2.0%
466-2375 2
 
2.0%
452-6109 2
 
2.0%
462-2802 2
 
2.0%
457-0254 1
 
1.0%
452-0926 1
 
1.0%
458-2875 1
 
1.0%
Other values (83) 83
83.0%
2024-05-11T15:48:24.304001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 138
15.4%
2 136
15.1%
- 122
13.6%
8 97
10.8%
0 80
8.9%
6 71
7.9%
5 64
7.1%
7 57
6.3%
3 55
 
6.1%
9 47
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 777
86.4%
Dash Punctuation 122
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 138
17.8%
2 136
17.5%
8 97
12.5%
0 80
10.3%
6 71
9.1%
5 64
8.2%
7 57
7.3%
3 55
 
7.1%
9 47
 
6.0%
1 32
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 899
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 138
15.4%
2 136
15.1%
- 122
13.6%
8 97
10.8%
0 80
8.9%
6 71
7.9%
5 64
7.1%
7 57
6.3%
3 55
 
6.1%
9 47
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 138
15.4%
2 136
15.1%
- 122
13.6%
8 97
10.8%
0 80
8.9%
6 71
7.9%
5 64
7.1%
7 57
6.3%
3 55
 
6.1%
9 47
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Categorical

Distinct42
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
39 
143842
8 
143916
 
5
143888
 
4
143899
 
4
Other values (37)
62 

Length

Max length7
Median length6
Mean length5.4016393
Min length4

Unique

Unique23 ?
Unique (%)18.9%

Sample

1st row143828
2nd row143841
3rd row143842
4th row143888
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
32.0%
143842 8
 
6.6%
143916 5
 
4.1%
143888 4
 
3.3%
143899 4
 
3.3%
143823 4
 
3.3%
143826 4
 
3.3%
143841 4
 
3.3%
143912 3
 
2.5%
143825 3
 
2.5%
Other values (32) 44
36.1%

Length

2024-05-11T15:48:24.584570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 39
32.0%
143842 8
 
6.6%
143916 5
 
4.1%
143888 4
 
3.3%
143899 4
 
3.3%
143823 4
 
3.3%
143826 4
 
3.3%
143841 4
 
3.3%
143912 3
 
2.5%
143825 3
 
2.5%
Other values (32) 44
36.1%

지번주소
Text

Distinct114
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:48:25.192135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length25.909836
Min length13

Characters and Unicode

Total characters3161
Distinct characters69
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

Unique106 ?
Unique (%)86.9%

Sample

1st row서울특별시 광진구 구의1동 257번지 72호 4층
2nd row서울특별시 광진구 자양동 6번지 20호 조양B/D 3층
3rd row서울특별시 광진구 자양동 24번지 30호
4th row서울특별시 광진구 중곡동 93번지 2호 지하1층
5th row서울특별시 광진구 중곡동 83번지 14호 2층
ValueCountFrequency (%)
서울특별시 122
17.4%
광진구 122
17.4%
2층 39
 
5.6%
자양동 31
 
4.4%
3층 22
 
3.1%
중곡동 22
 
3.1%
24번지 14
 
2.0%
1호 14
 
2.0%
자양4동 13
 
1.9%
화양동 12
 
1.7%
Other values (161) 289
41.3%
2024-05-11T15:48:25.999799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
585
18.5%
2 168
 
5.3%
구 141
 
4.5%
광 128
 
4.0%
진 122
 
3.9%
동 122
 
3.9%
울 122
 
3.9%
서 122
 
3.9%
시 122
 
3.9%
별 122
 
3.9%
Other values (59) 1407
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1818
57.5%
Decimal Number 673
 
21.3%
Space Separator 585
 
18.5%
Open Punctuation 31
 
1.0%
Close Punctuation 31
 
1.0%
Dash Punctuation 16
 
0.5%
Uppercase Letter 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 141
 
7.8%
광 128
 
7.0%
진 122
 
6.7%
동 122
 
6.7%
울 122
 
6.7%
서 122
 
6.7%
시 122
 
6.7%
별 122
 
6.7%
특 122
 
6.7%
호 118
 
6.5%
Other values (39) 577
31.7%
Decimal Number
ValueCountFrequency (%)
2 168
25.0%
1 120
17.8%
4 89
13.2%
3 78
11.6%
5 56
 
8.3%
0 47
 
7.0%
6 45
 
6.7%
8 27
 
4.0%
7 22
 
3.3%
9 21
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
S 1
16.7%
J 1
16.7%
D 1
16.7%
A 1
16.7%
Space Separator
ValueCountFrequency (%)
585
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1818
57.5%
Common 1337
42.3%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 141
 
7.8%
광 128
 
7.0%
진 122
 
6.7%
동 122
 
6.7%
울 122
 
6.7%
서 122
 
6.7%
시 122
 
6.7%
별 122
 
6.7%
특 122
 
6.7%
호 118
 
6.5%
Other values (39) 577
31.7%
Common
ValueCountFrequency (%)
585
43.8%
2 168
 
12.6%
1 120
 
9.0%
4 89
 
6.7%
3 78
 
5.8%
5 56
 
4.2%
0 47
 
3.5%
6 45
 
3.4%
( 31
 
2.3%
) 31
 
2.3%
Other values (5) 87
 
6.5%
Latin
ValueCountFrequency (%)
B 2
33.3%
S 1
16.7%
J 1
16.7%
D 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1818
57.5%
ASCII 1343
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
585
43.6%
2 168
 
12.5%
1 120
 
8.9%
4 89
 
6.6%
3 78
 
5.8%
5 56
 
4.2%
0 47
 
3.5%
6 45
 
3.4%
( 31
 
2.3%
) 31
 
2.3%
Other values (10) 93
 
6.9%
Hangul
ValueCountFrequency (%)
구 141
 
7.8%
광 128
 
7.0%
진 122
 
6.7%
동 122
 
6.7%
울 122
 
6.7%
서 122
 
6.7%
시 122
 
6.7%
별 122
 
6.7%
특 122
 
6.7%
호 118
 
6.5%
Other values (39) 577
31.7%

도로명주소
Text

Distinct116
Distinct (%)95.9%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-05-11T15:48:26.488062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length29.214876
Min length22

Characters and Unicode

Total characters3535
Distinct characters91
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

Unique111 ?
Unique (%)91.7%

Sample

1st row서울특별시 광진구 아차산로51길 36-1 (구의동)
2nd row서울특별시 광진구 아차산로30길 39 (자양동, 조양빌딩 3층)
3rd row서울특별시 광진구 동일로 88 (자양동)
4th row서울특별시 광진구 용마산로 10 (중곡동, 지하1층)
5th row서울특별시 광진구 영화사로 17-4, 2층 (중곡동)
ValueCountFrequency (%)
서울특별시 121
16.8%
광진구 121
16.8%
자양동 41
 
5.7%
2층 39
 
5.4%
중곡동 32
 
4.4%
3층 23
 
3.2%
구의동 19
 
2.6%
동일로 15
 
2.1%
뚝섬로 10
 
1.4%
화양동 10
 
1.4%
Other values (159) 290
40.2%
2024-05-11T15:48:27.290545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
600
 
17.0%
동 160
 
4.5%
구 144
 
4.1%
) 130
 
3.7%
( 130
 
3.7%
광 129
 
3.6%
로 122
 
3.5%
울 121
 
3.4%
서 121
 
3.4%
별 121
 
3.4%
Other values (81) 1757
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1990
56.3%
Space Separator 600
 
17.0%
Decimal Number 545
 
15.4%
Close Punctuation 130
 
3.7%
Open Punctuation 130
 
3.7%
Other Punctuation 115
 
3.3%
Dash Punctuation 19
 
0.5%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 160
 
8.0%
구 144
 
7.2%
광 129
 
6.5%
로 122
 
6.1%
울 121
 
6.1%
서 121
 
6.1%
별 121
 
6.1%
특 121
 
6.1%
시 121
 
6.1%
진 121
 
6.1%
Other values (62) 709
35.6%
Decimal Number
ValueCountFrequency (%)
3 104
19.1%
1 101
18.5%
2 98
18.0%
0 51
9.4%
4 48
8.8%
5 36
 
6.6%
8 35
 
6.4%
7 25
 
4.6%
9 24
 
4.4%
6 23
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
A 2
33.3%
S 1
16.7%
J 1
16.7%
Space Separator
ValueCountFrequency (%)
600
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Other Punctuation
ValueCountFrequency (%)
, 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1990
56.3%
Common 1539
43.5%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 160
 
8.0%
구 144
 
7.2%
광 129
 
6.5%
로 122
 
6.1%
울 121
 
6.1%
서 121
 
6.1%
별 121
 
6.1%
특 121
 
6.1%
시 121
 
6.1%
진 121
 
6.1%
Other values (62) 709
35.6%
Common
ValueCountFrequency (%)
600
39.0%
) 130
 
8.4%
( 130
 
8.4%
, 115
 
7.5%
3 104
 
6.8%
1 101
 
6.6%
2 98
 
6.4%
0 51
 
3.3%
4 48
 
3.1%
5 36
 
2.3%
Other values (5) 126
 
8.2%
Latin
ValueCountFrequency (%)
B 2
33.3%
A 2
33.3%
S 1
16.7%
J 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1990
56.3%
ASCII 1545
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
600
38.8%
) 130
 
8.4%
( 130
 
8.4%
, 115
 
7.4%
3 104
 
6.7%
1 101
 
6.5%
2 98
 
6.3%
0 51
 
3.3%
4 48
 
3.1%
5 36
 
2.3%
Other values (9) 132
 
8.5%
Hangul
ValueCountFrequency (%)
동 160
 
8.0%
구 144
 
7.2%
광 129
 
6.5%
로 122
 
6.1%
울 121
 
6.1%
서 121
 
6.1%
별 121
 
6.1%
특 121
 
6.1%
시 121
 
6.1%
진 121
 
6.1%
Other values (62) 709
35.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)59.4%
Missing16
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean31202.717
Minimum4908
Maximum143917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:48:27.501205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4908
5-th percentile4915
Q14950.75
median5051.5
Q35081
95-th percentile143905.75
Maximum143917
Range139009
Interquartile range (IQR)130.25

Descriptive statistics

Standard deviation54573.804
Coefficient of variation (CV)1.7490081
Kurtosis0.61739457
Mean31202.717
Median Absolute Deviation (MAD)52
Skewness1.6143375
Sum3307488
Variance2.9783001 × 109
MonotonicityNot monotonic
2024-05-11T15:48:27.753698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4915 6
 
4.9%
5071 5
 
4.1%
5073 5
 
4.1%
5043 5
 
4.1%
143823 3
 
2.5%
143916 3
 
2.5%
4908 3
 
2.5%
5085 3
 
2.5%
143842 3
 
2.5%
5066 3
 
2.5%
Other values (53) 67
54.9%
(Missing) 16
 
13.1%
ValueCountFrequency (%)
4908 3
2.5%
4910 1
 
0.8%
4915 6
4.9%
4916 2
 
1.6%
4919 2
 
1.6%
4926 1
 
0.8%
4929 2
 
1.6%
4930 2
 
1.6%
4931 1
 
0.8%
4933 1
 
0.8%
ValueCountFrequency (%)
143917 1
 
0.8%
143916 3
2.5%
143915 1
 
0.8%
143908 1
 
0.8%
143899 1
 
0.8%
143888 2
1.6%
143853 1
 
0.8%
143842 3
2.5%
143838 1
 
0.8%
143825 1
 
0.8%

사업장명
Text

Distinct114
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-05-11T15:48:28.077526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length8.9098361
Min length4

Characters and Unicode

Total characters1087
Distinct characters187
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)86.9%

Sample

1st row중앙치과기공소
2nd row제이케이시앤파(JKC&PAR) 치과기공소
3rd row모던치과기공소
4th row거목치과기공소
5th row한빛치과기공소
ValueCountFrequency (%)
치과기공소 8
 
5.6%
lab 3
 
2.1%
중앙치과기공소 2
 
1.4%
모던치과기공소 2
 
1.4%
dental 2
 
1.4%
이안치과기공소 2
 
1.4%
라온치과기공소 2
 
1.4%
하이테크치과기공소 2
 
1.4%
살구나무치과기공소 2
 
1.4%
덴플러스치과기공소 2
 
1.4%
Other values (115) 116
81.1%
2024-05-11T15:48:28.579040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 113
 
10.4%
공 112
 
10.3%
소 111
 
10.2%
치 110
 
10.1%
과 108
 
9.9%
이 31
 
2.9%
21
 
1.9%
( 18
 
1.7%
) 18
 
1.7%
덴 14
 
1.3%
Other values (177) 431
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 935
86.0%
Lowercase Letter 50
 
4.6%
Uppercase Letter 37
 
3.4%
Space Separator 21
 
1.9%
Open Punctuation 18
 
1.7%
Close Punctuation 18
 
1.7%
Other Punctuation 5
 
0.5%
Dash Punctuation 2
 
0.2%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 113
 
12.1%
공 112
 
12.0%
소 111
 
11.9%
치 110
 
11.8%
과 108
 
11.6%
이 31
 
3.3%
덴 14
 
1.5%
스 12
 
1.3%
제 10
 
1.1%
아 9
 
1.0%
Other values (138) 305
32.6%
Uppercase Letter
ValueCountFrequency (%)
J 5
13.5%
B 4
10.8%
C 4
10.8%
L 3
 
8.1%
G 3
 
8.1%
A 3
 
8.1%
D 3
 
8.1%
I 2
 
5.4%
U 1
 
2.7%
H 1
 
2.7%
Other values (8) 8
21.6%
Lowercase Letter
ValueCountFrequency (%)
a 11
22.0%
t 7
14.0%
l 6
12.0%
e 5
10.0%
n 5
10.0%
d 4
 
8.0%
i 3
 
6.0%
b 2
 
4.0%
r 2
 
4.0%
m 1
 
2.0%
Other values (4) 4
 
8.0%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
: 1
 
20.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 934
85.9%
Latin 88
 
8.1%
Common 64
 
5.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 113
 
12.1%
공 112
 
12.0%
소 111
 
11.9%
치 110
 
11.8%
과 108
 
11.6%
이 31
 
3.3%
덴 14
 
1.5%
스 12
 
1.3%
제 10
 
1.1%
아 9
 
1.0%
Other values (137) 304
32.5%
Latin
ValueCountFrequency (%)
a 11
 
12.5%
t 7
 
8.0%
l 6
 
6.8%
e 5
 
5.7%
n 5
 
5.7%
J 5
 
5.7%
B 4
 
4.5%
d 4
 
4.5%
C 4
 
4.5%
L 3
 
3.4%
Other values (23) 34
38.6%
Common
ValueCountFrequency (%)
21
32.8%
( 18
28.1%
) 18
28.1%
& 4
 
6.2%
- 2
 
3.1%
: 1
 
1.6%
Han
ValueCountFrequency (%)
秀 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 933
85.8%
ASCII 151
 
13.9%
Number Forms 1
 
0.1%
Compat Jamo 1
 
0.1%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 113
 
12.1%
공 112
 
12.0%
소 111
 
11.9%
치 110
 
11.8%
과 108
 
11.6%
이 31
 
3.3%
덴 14
 
1.5%
스 12
 
1.3%
제 10
 
1.1%
아 9
 
1.0%
Other values (136) 303
32.5%
ASCII
ValueCountFrequency (%)
21
13.9%
( 18
 
11.9%
) 18
 
11.9%
a 11
 
7.3%
t 7
 
4.6%
l 6
 
4.0%
e 5
 
3.3%
n 5
 
3.3%
J 5
 
3.3%
& 4
 
2.6%
Other values (28) 51
33.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK
ValueCountFrequency (%)
秀 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2008-11-24 14:43:52
Maximum2024-03-18 14:14:23
2024-05-11T15:48:28.788626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:48:29.006655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
81 
U
41 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 81
66.4%
U 41
33.6%

Length

2024-05-11T15:48:29.170223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:29.362737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 81
66.4%
u 41
33.6%

데이터갱신일자
Categorical

Distinct43
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2018-08-31 23:59:59.0
73 
2020-12-03 02:40:00.0
 
3
2021-12-07 22:07:00.0
 
3
2022-12-02 22:05:00.0
 
2
2019-02-16 02:40:00.0
 
2
Other values (38)
39 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique37 ?
Unique (%)30.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2021-07-07 02:40:00.0
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 73
59.8%
2020-12-03 02:40:00.0 3
 
2.5%
2021-12-07 22:07:00.0 3
 
2.5%
2022-12-02 22:05:00.0 2
 
1.6%
2019-02-16 02:40:00.0 2
 
1.6%
2020-12-03 00:23:07.0 2
 
1.6%
2021-01-23 02:40:00.0 1
 
0.8%
2021-12-22 02:40:00.0 1
 
0.8%
2021-11-01 23:00:00.0 1
 
0.8%
2019-06-21 02:40:00.0 1
 
0.8%
Other values (33) 33
27.0%

Length

2024-05-11T15:48:29.526999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 73
29.9%
23:59:59.0 73
29.9%
02:40:00.0 21
 
8.6%
2020-12-03 5
 
2.0%
22:07:00.0 4
 
1.6%
2021-12-07 3
 
1.2%
22:05:00.0 3
 
1.2%
2021-12-08 2
 
0.8%
22:09:00.0 2
 
0.8%
2022-12-06 2
 
0.8%
Other values (45) 56
23.0%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing122
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct91
Distinct (%)75.2%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean206817.33
Minimum205473.98
Maximum209058.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:48:29.709965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205473.98
5-th percentile205530.11
Q1205886.29
median207056.06
Q3207428.69
95-th percentile207993.33
Maximum209058.44
Range3584.4593
Interquartile range (IQR)1542.4028

Descriptive statistics

Standard deviation827.44102
Coefficient of variation (CV)0.0040008303
Kurtosis-0.95074806
Mean206817.33
Median Absolute Deviation (MAD)528.58459
Skewness-0.16763073
Sum25024896
Variance684658.65
MonotonicityNot monotonic
2024-05-11T15:48:29.974305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205886.288968009 5
 
4.1%
206678.886291653 3
 
2.5%
205530.109567924 3
 
2.5%
207813.262589566 3
 
2.5%
207664.053595575 3
 
2.5%
205548.689811343 3
 
2.5%
205731.519097586 2
 
1.6%
205534.5670709 2
 
1.6%
208021.950060046 2
 
1.6%
206171.772597556 2
 
1.6%
Other values (81) 93
76.2%
ValueCountFrequency (%)
205473.975692391 2
1.6%
205523.648004219 2
1.6%
205530.109567924 3
2.5%
205534.5670709 2
1.6%
205548.689811343 3
2.5%
205632.848121685 1
 
0.8%
205633.128607317 2
1.6%
205642.888115746 1
 
0.8%
205686.361727402 1
 
0.8%
205731.519097586 2
1.6%
ValueCountFrequency (%)
209058.43503735 1
 
0.8%
208045.176570733 1
 
0.8%
208031.672009312 1
 
0.8%
208021.950060046 2
1.6%
207993.328841296 2
1.6%
207990.12242813 1
 
0.8%
207859.290404004 1
 
0.8%
207836.892830822 1
 
0.8%
207813.262589566 3
2.5%
207806.060949604 1
 
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct91
Distinct (%)75.2%
Missing1
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean449284.13
Minimum447709.94
Maximum451521.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:48:30.233119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447709.94
5-th percentile447902.48
Q1448366
median448683.44
Q3450464.6
95-th percentile451164.64
Maximum451521.82
Range3811.8856
Interquartile range (IQR)2098.5988

Descriptive statistics

Standard deviation1135.2053
Coefficient of variation (CV)0.0025266979
Kurtosis-1.3114919
Mean449284.13
Median Absolute Deviation (MAD)575.86656
Skewness0.48254404
Sum54363380
Variance1288691
MonotonicityNot monotonic
2024-05-11T15:48:30.468161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448517.338628068 5
 
4.1%
448224.107493341 3
 
2.5%
448683.439557801 3
 
2.5%
448549.319239152 3
 
2.5%
447902.480048568 3
 
2.5%
448653.085751205 3
 
2.5%
448178.854452305 2
 
1.6%
448720.031119361 2
 
1.6%
449886.326391318 2
 
1.6%
449250.603238779 2
 
1.6%
Other values (81) 93
76.2%
ValueCountFrequency (%)
447709.938623911 1
 
0.8%
447808.702246311 1
 
0.8%
447846.133863702 1
 
0.8%
447854.544871046 1
 
0.8%
447871.309816677 1
 
0.8%
447902.480048568 3
2.5%
448001.499595417 1
 
0.8%
448031.19783341 1
 
0.8%
448107.572997321 2
1.6%
448152.831018194 1
 
0.8%
ValueCountFrequency (%)
451521.824189635 1
0.8%
451388.53743028 1
0.8%
451378.26853404 1
0.8%
451318.218448673 1
0.8%
451312.93518937 1
0.8%
451303.402053799 1
0.8%
451164.638704098 1
0.8%
451105.131075475 1
0.8%
451056.265291175 1
0.8%
450968.166497544 1
0.8%

기공용레스수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
93 
<NA>
24 
2
 
3
3
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 93
76.2%
<NA> 24
 
19.7%
2 3
 
2.5%
3 1
 
0.8%
4 1
 
0.8%

Length

2024-05-11T15:48:30.711137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:30.877734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 93
76.2%
na 24
 
19.7%
2 3
 
2.5%
3 1
 
0.8%
4 1
 
0.8%

원심주조기수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
94 
<NA>
24 
2
 
4

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 94
77.0%
<NA> 24
 
19.7%
2 4
 
3.3%

Length

2024-05-11T15:48:31.039375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:31.207865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 94
77.0%
na 24
 
19.7%
2 4
 
3.3%

기공용모터수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)9.2%
Missing24
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean3.3367347
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-05-11T15:48:31.347990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile7
Maximum15
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2746649
Coefficient of variation (CV)0.68170386
Kurtosis12.863563
Mean3.3367347
Median Absolute Deviation (MAD)1
Skewness3.1298949
Sum327
Variance5.1741006
MonotonicityNot monotonic
2024-05-11T15:48:31.512201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 45
36.9%
3 23
18.9%
4 10
 
8.2%
5 7
 
5.7%
6 4
 
3.3%
7 3
 
2.5%
8 2
 
1.6%
15 2
 
1.6%
1 2
 
1.6%
(Missing) 24
19.7%
ValueCountFrequency (%)
1 2
 
1.6%
2 45
36.9%
3 23
18.9%
4 10
 
8.2%
5 7
 
5.7%
6 4
 
3.3%
7 3
 
2.5%
8 2
 
1.6%
15 2
 
1.6%
ValueCountFrequency (%)
15 2
 
1.6%
8 2
 
1.6%
7 3
 
2.5%
6 4
 
3.3%
5 7
 
5.7%
4 10
 
8.2%
3 23
18.9%
2 45
36.9%
1 2
 
1.6%

아세틸렌수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
94 
<NA>
24 
2
 
2
3
 
1
0
 
1

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 94
77.0%
<NA> 24
 
19.7%
2 2
 
1.6%
3 1
 
0.8%
0 1
 
0.8%

Length

2024-05-11T15:48:31.754957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:31.940712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 94
77.0%
na 24
 
19.7%
2 2
 
1.6%
3 1
 
0.8%
0 1
 
0.8%

치과용프레스수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
97 
<NA>
24 
2
 
1

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 97
79.5%
<NA> 24
 
19.7%
2 1
 
0.8%

Length

2024-05-11T15:48:32.135140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:32.331436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
79.5%
na 24
 
19.7%
2 1
 
0.8%

전기로수
Categorical

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
74 
<NA>
24 
2
20 
3
 
3
4
 
1

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 74
60.7%
<NA> 24
 
19.7%
2 20
 
16.4%
3 3
 
2.5%
4 1
 
0.8%

Length

2024-05-11T15:48:32.531013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:32.727530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
60.7%
na 24
 
19.7%
2 20
 
16.4%
3 3
 
2.5%
4 1
 
0.8%

포셀린로수
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
70 
<NA>
24 
2
18 
3
10 

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
57.4%
<NA> 24
 
19.7%
2 18
 
14.8%
3 10
 
8.2%

Length

2024-05-11T15:48:32.897694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:33.089707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
57.4%
na 24
 
19.7%
2 18
 
14.8%
3 10
 
8.2%

초음파청소기수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
95 
<NA>
24 
2
 
3

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 95
77.9%
<NA> 24
 
19.7%
2 3
 
2.5%

Length

2024-05-11T15:48:33.273978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:33.462077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 95
77.9%
na 24
 
19.7%
2 3
 
2.5%

서베이어수
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
92 
<NA>
24 
2
 
4
3
 
2

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 92
75.4%
<NA> 24
 
19.7%
2 4
 
3.3%
3 2
 
1.6%

Length

2024-05-11T15:48:34.056375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:34.264063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 92
75.4%
na 24
 
19.7%
2 4
 
3.3%
3 2
 
1.6%

진동기수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
95 
<NA>
24 
2
 
3

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 95
77.9%
<NA> 24
 
19.7%
2 3
 
2.5%

Length

2024-05-11T15:48:34.487074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:34.675163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 95
77.9%
na 24
 
19.7%
2 3
 
2.5%

트리머수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
97 
<NA>
24 
2
 
1

Length

Max length4
Median length1
Mean length1.5901639
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 97
79.5%
<NA> 24
 
19.7%
2 1
 
0.8%

Length

2024-05-11T15:48:34.865990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:35.044366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
79.5%
na 24
 
19.7%
2 1
 
0.8%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
78 
<NA>
41 
2
 
3

Length

Max length4
Median length1
Mean length2.0081967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 78
63.9%
<NA> 41
33.6%
2 3
 
2.5%

Length

2024-05-11T15:48:35.236747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:35.405934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
63.9%
na 41
33.6%
2 3
 
2.5%

샌드기수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
69 
<NA>
41 
2
12 

Length

Max length4
Median length1
Mean length2.0081967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
56.6%
<NA> 41
33.6%
2 12
 
9.8%

Length

2024-05-11T15:48:35.595752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:35.771705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
56.6%
na 41
33.6%
2 12
 
9.8%

진공매몰기수
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
78 
<NA>
41 
2
 
3

Length

Max length4
Median length1
Mean length2.0081967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 78
63.9%
<NA> 41
33.6%
2 3
 
2.5%

Length

2024-05-11T15:48:35.981511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:36.210032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
63.9%
na 41
33.6%
2 3
 
2.5%

핀덱스수
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
81 
<NA>
41 

Length

Max length4
Median length1
Mean length2.0081967
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 81
66.4%
<NA> 41
33.6%

Length

2024-05-11T15:48:36.385840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:48:36.580772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 81
66.4%
na 41
33.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03040000PHMB31991304003306230000119910213<NA>1영업/정상13영업중<NA><NA><NA><NA>457-0254<NA>143828서울특별시 광진구 구의1동 257번지 72호 4층서울특별시 광진구 아차산로51길 36-1 (구의동)5043중앙치과기공소2011-12-06 14:48:44I2018-08-31 23:59:59.0<NA>207455.442181448492.421996112111111111211
13040000PHMB31992304003306230000119920428<NA>1영업/정상13영업중<NA><NA><NA><NA>02-498-2828<NA>143841서울특별시 광진구 자양동 6번지 20호 조양B/D 3층서울특별시 광진구 아차산로30길 39 (자양동, 조양빌딩 3층)5073제이케이시앤파(JKC&PAR) 치과기공소2021-07-05 11:35:38U2021-07-07 02:40:00.0<NA>205886.288968448517.338628112111111111111
23040000PHMB31992304003306230000219920908201102103폐업3폐업20110210<NA><NA><NA>466-2375<NA>143842서울특별시 광진구 자양동 24번지 30호서울특별시 광진구 동일로 88 (자양동)<NA>모던치과기공소2011-02-10 17:45:06I2018-08-31 23:59:59.0<NA>205530.109568448683.43955811211111111<NA><NA><NA><NA>
33040000PHMB31993304003306230000119930304<NA>1영업/정상13영업중<NA><NA><NA><NA>456-8609<NA>143888서울특별시 광진구 중곡동 93번지 2호 지하1층서울특별시 광진구 용마산로 10 (중곡동, 지하1층)4953거목치과기공소2011-12-08 16:27:56I2018-08-31 23:59:59.0<NA>207778.116494450250.255644112111111111111
43040000PHMB31995304003306230000119950105201803053폐업3폐업20180305<NA><NA><NA>02-452-2833<NA><NA>서울특별시 광진구 중곡동 83번지 14호 2층서울특별시 광진구 영화사로 17-4, 2층 (중곡동)4945한빛치과기공소2018-03-05 15:02:39I2018-08-31 23:59:59.0<NA>207859.290404450616.185132112111111111111
53040000PHMB31995304003306230000219951209<NA>1영업/정상13영업중<NA><NA><NA><NA>3436-3333<NA>143825서울특별시 광진구 구의동 242번지 134호서울특별시 광진구 아차산로55길 30 (구의동)5042최종환치과기공소2022-08-25 15:19:05U2021-12-07 22:07:00.0<NA>207584.649442448501.609401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63040000PHMB31996304003306230000119961004<NA>3폐업3폐업20201231<NA><NA><NA>467-7780<NA><NA>서울특별시 광진구 중곡동 31번지 1호 3층서울특별시 광진구 능동로 392, 3층 (중곡동)4934한샘치과기공소2021-01-18 10:51:48U2021-01-20 02:40:00.0<NA>207311.333348451312.935189113113321211121
73040000PHMB31996304003306230000219961123201008313폐업3폐업20100831<NA><NA><NA>452-6109<NA>143874서울특별시 광진구 자양동 680번지 62호서울특별시 광진구 뚝섬로 703-1 (자양동)<NA>예림치과기공소2010-08-31 12:15:14I2018-08-31 23:59:59.0<NA>207664.053596447902.48004911211111111<NA><NA><NA><NA>
83040000PHMB31997304003306230000119970718<NA>1영업/정상13영업중<NA><NA><NA><NA>499-5642<NA>143837서울특별시 광진구 군자동 49번지 1호서울특별시 광진구 면목로 26 (군자동)4996다빈치과기공소2022-08-25 15:15:31U2021-12-07 22:07:00.0<NA>206664.850964450464.599813<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000PHMB31997304003306230000219971009<NA>1영업/정상13영업중<NA><NA><NA><NA>466-2871<NA>143903서울특별시 광진구 중곡1동 230번지 11호 3층 303호서울특별시 광진구 면목로 120, 3층 303호 (중곡동)4910포인트치과기공소2021-12-20 16:17:27U2021-12-22 02:40:00.0<NA>207045.096874451318.218449112111111111111
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
1123040000PHMB32020304003306230000320201015<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 162-4서울특별시 광진구 능동로 337-1, 3층 B호 (중곡동)4915덴티크치과기공소2020-10-15 10:51:28I2020-12-03 00:23:07.0<NA>207058.338505450840.637116112111111111111
1133040000PHMB32021304003306230000120210817<NA>1영업/정상13영업중<NA><NA><NA><NA>0234371399<NA><NA>서울특별시 광진구 자양동 680-62서울특별시 광진구 뚝섬로 703-1, 2층 (자양동)5052다온치과기공소2021-08-17 11:14:38I2021-08-19 00:22:51.0<NA>207664.053596447902.480049113111311111111
1143040000PHMB3202330400330623000012023-01-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 227-240 한국타이어자양대리점서울특별시 광진구 자양번영로 75, 한국타이어자양대리점 2층 (자양동)5066덴플러스치과기공소2023-03-22 15:11:18U2022-12-02 22:05:00.0<NA>206678.886292448224.107493<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1153040000PHMB3202330400330623000022023-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 220-28서울특별시 광진구 능동로49길 18, 2층 (중곡동)4908에이아이덴탈랩(Ai dental Lab)2023-03-22 15:11:32I2022-12-02 22:05:00.0<NA>207204.907755451378.268534<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1163040000PHMB3202330400330623000032023-04-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 138-33서울특별시 광진구 천호대로113길 5, 201-2호 (중곡동)4926에이비교정치과기공소2023-04-17 09:24:34U2022-12-03 23:09:00.0<NA>207270.532219450587.949808<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1173040000PHMB3202330400330623000042003-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3216-2804<NA><NA>서울특별시 광진구 자양동 6-20서울특별시 광진구 아차산로30길 39, 302호 (자양동)5073장치과기공소2023-05-26 13:03:00I2022-12-04 22:08:00.0<NA>205886.288968448517.338628<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1183040000PHMB3202330400330623000052023-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 55-14서울특별시 광진구 자양로 283, 4층 (구의동)4954더블유지디덴탈랩2023-07-21 15:22:32I2022-12-06 22:03:00.0<NA>208021.95006449886.326391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193040000PHMB3202330400330623000062023-10-05<NA>3폐업3폐업2024-02-26<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 52-2서울특별시 광진구 뚝섬로 476-7, 401호 (자양동)5082클로버 교정기공소2024-02-26 14:56:40U2023-12-01 22:09:00.0<NA>205473.975692448241.083389<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1203040000PHMB3202330400330623000072023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 82-22서울특별시 광진구 영화사로 20, 2층 (중곡동)4949더블유(W)치과기공소2023-10-16 16:42:26I2022-10-30 23:08:00.0<NA>207836.892831450576.085017<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213040000PHMB3202430400330623000012003-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA>031-721-9555<NA><NA>서울특별시 광진구 자양동 52-2서울특별시 광진구 뚝섬로 476-7, 401호 (자양동)5082디메넥스 치과기공소2024-03-18 14:14:23U2023-12-02 22:00:00.0<NA>205473.975692448241.083389<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>