Overview

Dataset statistics

Number of variables40
Number of observations103
Missing cells832
Missing cells (%)20.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.1 KiB
Average record size in memory349.3 B

Variable types

Categorical20
Text5
DateTime4
Unsupported6
Numeric5

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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-16478/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
아세틸렌수 is highly imbalanced (55.7%)Imbalance
치과용프레스수 is highly imbalanced (50.4%)Imbalance
진공매몰기수 is highly imbalanced (52.5%)Imbalance
인허가취소일자 has 103 (100.0%) missing valuesMissing
폐업일자 has 56 (54.4%) missing valuesMissing
휴업시작일자 has 103 (100.0%) missing valuesMissing
휴업종료일자 has 103 (100.0%) missing valuesMissing
재개업일자 has 103 (100.0%) missing valuesMissing
전화번호 has 20 (19.4%) missing valuesMissing
소재지면적 has 103 (100.0%) missing valuesMissing
소재지우편번호 has 57 (55.3%) missing valuesMissing
지번주소 has 9 (8.7%) missing valuesMissing
도로명주소 has 26 (25.2%) missing valuesMissing
도로명우편번호 has 26 (25.2%) missing valuesMissing
업태구분명 has 103 (100.0%) missing valuesMissing
기공용모터수 has 20 (19.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:16:54.410467
Analysis finished2024-05-11 05:16:55.935327
Duration1.52 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
3240000
103 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 103
100.0%

Length

2024-05-11T05:16:56.241928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:16:56.641727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 103
100.0%

관리번호
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-05-11T05:16:57.396805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2575
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

Unique103 ?
Unique (%)100.0%

Sample

1st rowPHMB319863240033062300001
2nd rowPHMB319883240033062300001
3rd rowPHMB319923240033062300001
4th rowPHMB319943240033062300001
5th rowPHMB319963240033062300001
ValueCountFrequency (%)
phmb319863240033062300001 1
 
1.0%
phmb320183240033062300001 1
 
1.0%
phmb320173240033062300002 1
 
1.0%
phmb320173240033062300001 1
 
1.0%
phmb320163240033062300005 1
 
1.0%
phmb320163240033062300004 1
 
1.0%
phmb320163240033062300003 1
 
1.0%
phmb320163240033062300002 1
 
1.0%
phmb320163240033062300001 1
 
1.0%
phmb320143240033062300004 1
 
1.0%
Other values (93) 93
90.3%
2024-05-11T05:16:58.797220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 862
33.5%
3 535
20.8%
2 348
13.5%
4 131
 
5.1%
6 118
 
4.6%
P 103
 
4.0%
H 103
 
4.0%
M 103
 
4.0%
B 103
 
4.0%
1 93
 
3.6%
Other values (4) 76
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2163
84.0%
Uppercase Letter 412
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 862
39.9%
3 535
24.7%
2 348
16.1%
4 131
 
6.1%
6 118
 
5.5%
1 93
 
4.3%
9 28
 
1.3%
8 21
 
1.0%
5 16
 
0.7%
7 11
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 103
25.0%
H 103
25.0%
M 103
25.0%
B 103
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2163
84.0%
Latin 412
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 862
39.9%
3 535
24.7%
2 348
16.1%
4 131
 
6.1%
6 118
 
5.5%
1 93
 
4.3%
9 28
 
1.3%
8 21
 
1.0%
5 16
 
0.7%
7 11
 
0.5%
Latin
ValueCountFrequency (%)
P 103
25.0%
H 103
25.0%
M 103
25.0%
B 103
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 862
33.5%
3 535
20.8%
2 348
13.5%
4 131
 
5.1%
6 118
 
4.6%
P 103
 
4.0%
H 103
 
4.0%
M 103
 
4.0%
B 103
 
4.0%
1 93
 
3.6%
Other values (4) 76
 
3.0%

인허가일자
Date

Distinct102
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum1986-09-02 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T05:16:59.378018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:16:59.861506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
54 
3
46 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
52.4%
3 46
44.7%
5 3
 
2.9%

Length

2024-05-11T05:17:00.453720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:00.771204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
52.4%
3 46
44.7%
5 3
 
2.9%

영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
영업/정상
54 
폐업
46 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length3.7475728
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 54
52.4%
폐업 46
44.7%
제외/삭제/전출 3
 
2.9%

Length

2024-05-11T05:17:01.097386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:01.469727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 54
52.4%
폐업 46
44.7%
제외/삭제/전출 3
 
2.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
13
54 
3
46 
15
 
3

Length

Max length2
Median length2
Mean length1.5533981
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 54
52.4%
3 46
44.7%
15 3
 
2.9%

Length

2024-05-11T05:17:02.021447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:02.489616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 54
52.4%
3 46
44.7%
15 3
 
2.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
영업중
54 
폐업
46 
전출
 
3

Length

Max length3
Median length3
Mean length2.5242718
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 54
52.4%
폐업 46
44.7%
전출 3
 
2.9%

Length

2024-05-11T05:17:02.859113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:03.249245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 54
52.4%
폐업 46
44.7%
전출 3
 
2.9%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)95.7%
Missing56
Missing (%)54.4%
Memory size956.0 B
Minimum2009-01-22 00:00:00
Maximum2024-01-03 00:00:00
2024-05-11T05:17:03.741683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:17:04.184181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct78
Distinct (%)94.0%
Missing20
Missing (%)19.4%
Memory size956.0 B
2024-05-11T05:17:04.800210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length9.1325301
Min length7

Characters and Unicode

Total characters758
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)89.2%

Sample

1st row470-0233
2nd row488-2804
3rd row487-3453
4th row02-471-5351
5th row489-1145
ValueCountFrequency (%)
427-4216 3
 
3.6%
478-7523 2
 
2.4%
478-2842 2
 
2.4%
02-3426-2804 2
 
2.4%
467-2728 1
 
1.2%
856-2804 1
 
1.2%
2253-2804 1
 
1.2%
470-2148 1
 
1.2%
02-470-2803 1
 
1.2%
02-484-2804 1
 
1.2%
Other values (68) 68
81.9%
2024-05-11T05:17:05.970515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 131
17.3%
4 121
16.0%
- 111
14.6%
8 89
11.7%
0 84
11.1%
7 68
9.0%
6 35
 
4.6%
3 33
 
4.4%
5 33
 
4.4%
1 29
 
3.8%
Other values (2) 24
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 646
85.2%
Dash Punctuation 111
 
14.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 131
20.3%
4 121
18.7%
8 89
13.8%
0 84
13.0%
7 68
10.5%
6 35
 
5.4%
3 33
 
5.1%
5 33
 
5.1%
1 29
 
4.5%
9 23
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 131
17.3%
4 121
16.0%
- 111
14.6%
8 89
11.7%
0 84
11.1%
7 68
9.0%
6 35
 
4.6%
3 33
 
4.4%
5 33
 
4.4%
1 29
 
3.8%
Other values (2) 24
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 131
17.3%
4 121
16.0%
- 111
14.6%
8 89
11.7%
0 84
11.1%
7 68
9.0%
6 35
 
4.6%
3 33
 
4.4%
5 33
 
4.4%
1 29
 
3.8%
Other values (2) 24
 
3.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)63.0%
Missing57
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean134915.43
Minimum134010
Maximum156730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T05:17:06.616452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134010
5-th percentile134012.5
Q1134030
median134422
Q3134845.75
95-th percentile134886.75
Maximum156730
Range22720
Interquartile range (IQR)815.75

Descriptive statistics

Standard deviation3312.8791
Coefficient of variation (CV)0.024555227
Kurtosis44.532436
Mean134915.43
Median Absolute Deviation (MAD)402
Skewness6.622998
Sum6206110
Variance10975168
MonotonicityNot monotonic
2024-05-11T05:17:07.159733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
134030 5
 
4.9%
134020 5
 
4.9%
134874 3
 
2.9%
134010 3
 
2.9%
134022 3
 
2.9%
134851 2
 
1.9%
134811 2
 
1.9%
134841 2
 
1.9%
134830 1
 
1.0%
134810 1
 
1.0%
Other values (19) 19
 
18.4%
(Missing) 57
55.3%
ValueCountFrequency (%)
134010 3
2.9%
134020 5
4.9%
134022 3
2.9%
134030 5
4.9%
134031 1
 
1.0%
134052 1
 
1.0%
134060 1
 
1.0%
134070 1
 
1.0%
134071 1
 
1.0%
134072 1
 
1.0%
ValueCountFrequency (%)
156730 1
 
1.0%
134903 1
 
1.0%
134888 1
 
1.0%
134883 1
 
1.0%
134874 3
2.9%
134868 1
 
1.0%
134859 1
 
1.0%
134851 2
1.9%
134846 1
 
1.0%
134845 1
 
1.0%

지번주소
Text

MISSING 

Distinct89
Distinct (%)94.7%
Missing9
Missing (%)8.7%
Memory size956.0 B
2024-05-11T05:17:08.001969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length25.106383
Min length17

Characters and Unicode

Total characters2360
Distinct characters90
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)89.4%

Sample

1st row서울특별시 강동구 천호동 217번지 132호 동아하이빌상가 303호
2nd row서울특별시 강동구 성내3동 423번지 40호 2층
3rd row서울특별시 강동구 길동 47번지
4th row서울특별시 강동구 성내1동 564번지 8호 2층
5th row서울특별시 강동구 길동 448-1
ValueCountFrequency (%)
서울특별시 94
18.4%
강동구 93
18.2%
길동 18
 
3.5%
성내동 17
 
3.3%
천호동 16
 
3.1%
2층 14
 
2.7%
3층 10
 
2.0%
암사동 8
 
1.6%
천호2동 7
 
1.4%
1호 6
 
1.2%
Other values (155) 228
44.6%
2024-05-11T05:17:09.298080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
17.8%
동 197
 
8.3%
호 101
 
4.3%
강 98
 
4.2%
시 95
 
4.0%
서 94
 
4.0%
구 94
 
4.0%
울 94
 
4.0%
별 94
 
4.0%
특 94
 
4.0%
Other values (80) 979
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1392
59.0%
Decimal Number 504
 
21.4%
Space Separator 420
 
17.8%
Dash Punctuation 22
 
0.9%
Close Punctuation 11
 
0.5%
Open Punctuation 11
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 197
14.2%
호 101
 
7.3%
강 98
 
7.0%
시 95
 
6.8%
서 94
 
6.8%
구 94
 
6.8%
울 94
 
6.8%
별 94
 
6.8%
특 94
 
6.8%
번 67
 
4.8%
Other values (66) 364
26.1%
Decimal Number
ValueCountFrequency (%)
4 88
17.5%
1 83
16.5%
2 81
16.1%
3 77
15.3%
5 41
8.1%
0 37
7.3%
8 27
 
5.4%
9 25
 
5.0%
7 24
 
4.8%
6 21
 
4.2%
Space Separator
ValueCountFrequency (%)
420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1392
59.0%
Common 968
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 197
14.2%
호 101
 
7.3%
강 98
 
7.0%
시 95
 
6.8%
서 94
 
6.8%
구 94
 
6.8%
울 94
 
6.8%
별 94
 
6.8%
특 94
 
6.8%
번 67
 
4.8%
Other values (66) 364
26.1%
Common
ValueCountFrequency (%)
420
43.4%
4 88
 
9.1%
1 83
 
8.6%
2 81
 
8.4%
3 77
 
8.0%
5 41
 
4.2%
0 37
 
3.8%
8 27
 
2.8%
9 25
 
2.6%
7 24
 
2.5%
Other values (4) 65
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1392
59.0%
ASCII 968
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
420
43.4%
4 88
 
9.1%
1 83
 
8.6%
2 81
 
8.4%
3 77
 
8.0%
5 41
 
4.2%
0 37
 
3.8%
8 27
 
2.8%
9 25
 
2.6%
7 24
 
2.5%
Other values (4) 65
 
6.7%
Hangul
ValueCountFrequency (%)
동 197
14.2%
호 101
 
7.3%
강 98
 
7.0%
시 95
 
6.8%
서 94
 
6.8%
구 94
 
6.8%
울 94
 
6.8%
별 94
 
6.8%
특 94
 
6.8%
번 67
 
4.8%
Other values (66) 364
26.1%

도로명주소
Text

MISSING 

Distinct73
Distinct (%)94.8%
Missing26
Missing (%)25.2%
Memory size956.0 B
2024-05-11T05:17:09.991659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length31.74026
Min length26

Characters and Unicode

Total characters2444
Distinct characters93
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)90.9%

Sample

1st row서울특별시 강동구 풍성로52길 29, 2층 (성내동)
2nd row서울특별시 강동구 명일로 273, 3층 303호 (길동)
3rd row서울특별시 강동구 성안로3길 68-9 (성내동)
4th row서울특별시 강동구 진황도로 94, 3층 (길동)
5th row서울특별시 강동구 고덕로27길 28, 강동현대홈타운 (암사동)
ValueCountFrequency (%)
서울특별시 77
 
15.4%
강동구 76
 
15.2%
3층 23
 
4.6%
2층 21
 
4.2%
성내동 21
 
4.2%
천호동 17
 
3.4%
길동 15
 
3.0%
암사동 9
 
1.8%
4층 8
 
1.6%
명일동 7
 
1.4%
Other values (150) 226
45.2%
2024-05-11T05:17:11.472200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
 
17.3%
동 170
 
7.0%
2 87
 
3.6%
강 86
 
3.5%
구 83
 
3.4%
, 81
 
3.3%
서 77
 
3.2%
특 77
 
3.2%
별 77
 
3.2%
시 77
 
3.2%
Other values (83) 1205
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1358
55.6%
Space Separator 424
 
17.3%
Decimal Number 422
 
17.3%
Other Punctuation 81
 
3.3%
Close Punctuation 77
 
3.2%
Open Punctuation 77
 
3.2%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 170
 
12.5%
강 86
 
6.3%
구 83
 
6.1%
서 77
 
5.7%
특 77
 
5.7%
별 77
 
5.7%
시 77
 
5.7%
울 77
 
5.7%
로 75
 
5.5%
층 61
 
4.5%
Other values (68) 498
36.7%
Decimal Number
ValueCountFrequency (%)
2 87
20.6%
1 70
16.6%
3 53
12.6%
4 43
10.2%
0 40
9.5%
5 36
8.5%
8 30
 
7.1%
7 26
 
6.2%
6 21
 
5.0%
9 16
 
3.8%
Space Separator
ValueCountFrequency (%)
424
100.0%
Other Punctuation
ValueCountFrequency (%)
, 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1358
55.6%
Common 1086
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 170
 
12.5%
강 86
 
6.3%
구 83
 
6.1%
서 77
 
5.7%
특 77
 
5.7%
별 77
 
5.7%
시 77
 
5.7%
울 77
 
5.7%
로 75
 
5.5%
층 61
 
4.5%
Other values (68) 498
36.7%
Common
ValueCountFrequency (%)
424
39.0%
2 87
 
8.0%
, 81
 
7.5%
) 77
 
7.1%
( 77
 
7.1%
1 70
 
6.4%
3 53
 
4.9%
4 43
 
4.0%
0 40
 
3.7%
5 36
 
3.3%
Other values (5) 98
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1358
55.6%
ASCII 1086
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
39.0%
2 87
 
8.0%
, 81
 
7.5%
) 77
 
7.1%
( 77
 
7.1%
1 70
 
6.4%
3 53
 
4.9%
4 43
 
4.0%
0 40
 
3.7%
5 36
 
3.3%
Other values (5) 98
 
9.0%
Hangul
ValueCountFrequency (%)
동 170
 
12.5%
강 86
 
6.3%
구 83
 
6.1%
서 77
 
5.7%
특 77
 
5.7%
별 77
 
5.7%
시 77
 
5.7%
울 77
 
5.7%
로 75
 
5.5%
층 61
 
4.5%
Other values (68) 498
36.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)74.0%
Missing26
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean20746.221
Minimum5203
Maximum156730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T05:17:11.979196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5203
5-th percentile5235.2
Q15271
median5339
Q35399
95-th percentile134853.6
Maximum156730
Range151527
Interquartile range (IQR)128

Descriptive statistics

Standard deviation42736.884
Coefficient of variation (CV)2.059984
Kurtosis4.1405899
Mean20746.221
Median Absolute Deviation (MAD)63
Skewness2.4484049
Sum1597459
Variance1.8264412 × 109
MonotonicityNot monotonic
2024-05-11T05:17:12.664193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5339 4
 
3.9%
5301 4
 
3.9%
5408 4
 
3.9%
5392 3
 
2.9%
5247 2
 
1.9%
5232 2
 
1.9%
5351 2
 
1.9%
5244 2
 
1.9%
5302 2
 
1.9%
5364 2
 
1.9%
Other values (47) 50
48.5%
(Missing) 26
25.2%
ValueCountFrequency (%)
5203 1
1.0%
5222 1
1.0%
5232 2
1.9%
5236 2
1.9%
5241 1
1.0%
5242 1
1.0%
5244 2
1.9%
5247 2
1.9%
5255 1
1.0%
5257 1
1.0%
ValueCountFrequency (%)
156730 1
 
1.0%
134871 1
 
1.0%
134868 1
 
1.0%
134864 1
 
1.0%
134851 1
 
1.0%
134830 1
 
1.0%
134825 1
 
1.0%
134817 1
 
1.0%
134811 1
 
1.0%
5408 4
3.9%

사업장명
Text

Distinct91
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-05-11T05:17:13.385962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.1456311
Min length6

Characters and Unicode

Total characters839
Distinct characters140
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

Unique81 ?
Unique (%)78.6%

Sample

1st row동서울치과기공소
2nd row경희치과기공소
3rd row대웅치과기공소
4th row연세치과기공소
5th row쟁이얼치과기공소
ValueCountFrequency (%)
치과기공소 4
 
3.7%
제일치과기공소 3
 
2.8%
티에프(tf)치과기공소 3
 
2.8%
퍼스트치과기공소 2
 
1.9%
아이디치과기공소 2
 
1.9%
하나치과기공소 2
 
1.9%
화인치과기공소 2
 
1.9%
악어새치과기공소 2
 
1.9%
연세치과기공소 2
 
1.9%
하눌치과기공소 2
 
1.9%
Other values (82) 83
77.6%
2024-05-11T05:17:14.615869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 108
12.9%
치 104
12.4%
기 104
12.4%
과 103
12.3%
공 103
12.3%
스 16
 
1.9%
이 16
 
1.9%
인 10
 
1.2%
아 9
 
1.1%
( 9
 
1.1%
Other values (130) 257
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
93.7%
Uppercase Letter 17
 
2.0%
Lowercase Letter 12
 
1.4%
Open Punctuation 9
 
1.1%
Close Punctuation 9
 
1.1%
Space Separator 4
 
0.5%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 108
13.7%
치 104
13.2%
기 104
13.2%
과 103
13.1%
공 103
13.1%
스 16
 
2.0%
이 16
 
2.0%
인 10
 
1.3%
아 9
 
1.1%
미 9
 
1.1%
Other values (106) 204
26.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
23.5%
F 3
17.6%
S 2
11.8%
J 1
 
5.9%
V 1
 
5.9%
O 1
 
5.9%
D 1
 
5.9%
E 1
 
5.9%
N 1
 
5.9%
I 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
k 2
16.7%
y 2
16.7%
o 1
 
8.3%
n 1
 
8.3%
t 1
 
8.3%
s 1
 
8.3%
u 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 786
93.7%
Latin 29
 
3.5%
Common 24
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 108
13.7%
치 104
13.2%
기 104
13.2%
과 103
13.1%
공 103
13.1%
스 16
 
2.0%
이 16
 
2.0%
인 10
 
1.3%
아 9
 
1.1%
미 9
 
1.1%
Other values (106) 204
26.0%
Latin
ValueCountFrequency (%)
T 4
13.8%
e 3
 
10.3%
F 3
 
10.3%
k 2
 
6.9%
S 2
 
6.9%
y 2
 
6.9%
J 1
 
3.4%
o 1
 
3.4%
n 1
 
3.4%
V 1
 
3.4%
Other values (9) 9
31.0%
Common
ValueCountFrequency (%)
( 9
37.5%
) 9
37.5%
4
16.7%
- 1
 
4.2%
? 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 786
93.7%
ASCII 53
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 108
13.7%
치 104
13.2%
기 104
13.2%
과 103
13.1%
공 103
13.1%
스 16
 
2.0%
이 16
 
2.0%
인 10
 
1.3%
아 9
 
1.1%
미 9
 
1.1%
Other values (106) 204
26.0%
ASCII
ValueCountFrequency (%)
( 9
17.0%
) 9
17.0%
T 4
 
7.5%
4
 
7.5%
e 3
 
5.7%
F 3
 
5.7%
k 2
 
3.8%
S 2
 
3.8%
y 2
 
3.8%
J 1
 
1.9%
Other values (14) 14
26.4%

최종수정일자
Date

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum2009-01-22 15:24:38
Maximum2024-04-26 14:43:15
2024-05-11T05:17:15.289375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:17:15.933702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
I
73 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 73
70.9%
U 30
29.1%

Length

2024-05-11T05:17:16.464492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:17.048872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 73
70.9%
u 30
29.1%

데이터갱신일자
Date

Distinct43
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T05:17:17.497865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:17:18.289565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing103
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

Distinct82
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211943.5
Minimum210691.7
Maximum214926.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T05:17:18.871662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210691.7
5-th percentile210827.24
Q1211239.21
median211800.84
Q3212595.52
95-th percentile213447.27
Maximum214926.31
Range4234.6055
Interquartile range (IQR)1356.309

Descriptive statistics

Standard deviation842.20209
Coefficient of variation (CV)0.0039737105
Kurtosis0.48531919
Mean211943.5
Median Absolute Deviation (MAD)672.99347
Skewness0.66958252
Sum21830180
Variance709304.35
MonotonicityNot monotonic
2024-05-11T05:17:19.446889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211712.429305334 4
 
3.9%
211945.337917258 3
 
2.9%
210698.050491693 3
 
2.9%
211052.638524984 3
 
2.9%
212900.560815828 3
 
2.9%
212719.842644559 3
 
2.9%
212442.489302165 2
 
1.9%
212462.96541774 2
 
1.9%
212456.860752528 2
 
1.9%
211647.366771719 2
 
1.9%
Other values (72) 76
73.8%
ValueCountFrequency (%)
210691.700571744 1
 
1.0%
210698.050491693 3
2.9%
210819.661732933 1
 
1.0%
210825.17728788 1
 
1.0%
210845.844797087 1
 
1.0%
210863.964122971 2
1.9%
210873.626210063 1
 
1.0%
210924.299188068 1
 
1.0%
210934.374361918 1
 
1.0%
210970.75707265 2
1.9%
ValueCountFrequency (%)
214926.306069985 1
 
1.0%
214122.104823333 1
 
1.0%
213646.900696177 2
1.9%
213558.97102582 1
 
1.0%
213493.90717524 1
 
1.0%
213027.521447764 1
 
1.0%
212963.662827957 1
 
1.0%
212900.560815828 3
2.9%
212846.658698561 1
 
1.0%
212844.648356841 1
 
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct82
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448645.31
Minimum446680.3
Maximum451532.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T05:17:19.985122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446680.3
5-th percentile446967.64
Q1447794.01
median448764.76
Q3449343.31
95-th percentile450391.1
Maximum451532.73
Range4852.4252
Interquartile range (IQR)1549.306

Descriptive statistics

Standard deviation1037.4819
Coefficient of variation (CV)0.0023124768
Kurtosis-0.34236363
Mean448645.31
Median Absolute Deviation (MAD)819.32909
Skewness0.22800495
Sum46210467
Variance1076368.6
MonotonicityNot monotonic
2024-05-11T05:17:20.659940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448270.957716209 4
 
3.9%
447357.590085319 3
 
2.9%
448860.30533703 3
 
2.9%
449343.312029407 3
 
2.9%
448872.407937352 3
 
2.9%
449147.625790834 3
 
2.9%
448790.621362187 2
 
1.9%
447714.039018751 2
 
1.9%
447726.28571865 2
 
1.9%
447945.430838805 2
 
1.9%
Other values (72) 76
73.8%
ValueCountFrequency (%)
446680.303498539 1
1.0%
446872.29983338 1
1.0%
446929.529955121 1
1.0%
446940.608800863 1
1.0%
446946.750268275 1
1.0%
446959.181297857 1
1.0%
447043.784689725 1
1.0%
447138.019019482 1
1.0%
447164.517596783 1
1.0%
447252.928256217 1
1.0%
ValueCountFrequency (%)
451532.728746097 1
1.0%
451018.678909611 1
1.0%
450750.547533484 2
1.9%
450405.144983099 2
1.9%
450264.713132142 1
1.0%
450038.847319845 1
1.0%
449996.245434228 1
1.0%
449957.424683735 1
1.0%
449939.659710468 1
1.0%
449926.336334663 1
1.0%

기공용레스수
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
80 
<NA>
20 
2
 
3

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 80
77.7%
<NA> 20
 
19.4%
2 3
 
2.9%

Length

2024-05-11T05:17:21.150830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:21.590644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 80
77.7%
na 20
 
19.4%
2 3
 
2.9%

원심주조기수
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
80 
<NA>
20 
2
 
3

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 80
77.7%
<NA> 20
 
19.4%
2 3
 
2.9%

Length

2024-05-11T05:17:22.366266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:22.834424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 80
77.7%
na 20
 
19.4%
2 3
 
2.9%

기공용모터수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)9.6%
Missing20
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean3.3614458
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T05:17:23.389225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile7.8
Maximum12
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0397173
Coefficient of variation (CV)0.60679762
Kurtosis8.7921183
Mean3.3614458
Median Absolute Deviation (MAD)1
Skewness2.8864165
Sum279
Variance4.1604467
MonotonicityNot monotonic
2024-05-11T05:17:23.906278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 39
37.9%
2 27
26.2%
4 6
 
5.8%
5 4
 
3.9%
12 2
 
1.9%
10 2
 
1.9%
6 2
 
1.9%
8 1
 
1.0%
(Missing) 20
19.4%
ValueCountFrequency (%)
2 27
26.2%
3 39
37.9%
4 6
 
5.8%
5 4
 
3.9%
6 2
 
1.9%
8 1
 
1.0%
10 2
 
1.9%
12 2
 
1.9%
ValueCountFrequency (%)
12 2
 
1.9%
10 2
 
1.9%
8 1
 
1.0%
6 2
 
1.9%
5 4
 
3.9%
4 6
 
5.8%
3 39
37.9%
2 27
26.2%

아세틸렌수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
77 
<NA>
22 
0
 
2
5
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.6407767
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 77
74.8%
<NA> 22
 
21.4%
0 2
 
1.9%
5 1
 
1.0%
2 1
 
1.0%

Length

2024-05-11T05:17:24.992955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:25.565550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 77
74.8%
na 22
 
21.4%
0 2
 
1.9%
5 1
 
1.0%
2 1
 
1.0%

치과용프레스수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
82 
<NA>
20 
2
 
1

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 82
79.6%
<NA> 20
 
19.4%
2 1
 
1.0%

Length

2024-05-11T05:17:26.306197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:26.974768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 82
79.6%
na 20
 
19.4%
2 1
 
1.0%

전기로수
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
65 
<NA>
20 
2
13 
3
 
4
4
 
1

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 65
63.1%
<NA> 20
 
19.4%
2 13
 
12.6%
3 4
 
3.9%
4 1
 
1.0%

Length

2024-05-11T05:17:27.594968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:28.362972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 65
63.1%
na 20
 
19.4%
2 13
 
12.6%
3 4
 
3.9%
4 1
 
1.0%

포셀린로수
Categorical

Distinct6
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
69 
<NA>
20 
3
 
6
2
 
5
4
 
2

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row1
2nd row1
3rd row<NA>
4th row1
5th row5

Common Values

ValueCountFrequency (%)
1 69
67.0%
<NA> 20
 
19.4%
3 6
 
5.8%
2 5
 
4.9%
4 2
 
1.9%
5 1
 
1.0%

Length

2024-05-11T05:17:28.984983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:29.403182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
67.0%
na 20
 
19.4%
3 6
 
5.8%
2 5
 
4.9%
4 2
 
1.9%
5 1
 
1.0%

초음파청소기수
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
78 
<NA>
20 
2
 
4
3
 
1

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 78
75.7%
<NA> 20
 
19.4%
2 4
 
3.9%
3 1
 
1.0%

Length

2024-05-11T05:17:29.809750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:30.160367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
75.7%
na 20
 
19.4%
2 4
 
3.9%
3 1
 
1.0%

서베이어수
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
71 
<NA>
20 
2
9 
3
 
2
4
 
1

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 71
68.9%
<NA> 20
 
19.4%
2 9
 
8.7%
3 2
 
1.9%
4 1
 
1.0%

Length

2024-05-11T05:17:30.484175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:30.955464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
68.9%
na 20
 
19.4%
2 9
 
8.7%
3 2
 
1.9%
4 1
 
1.0%

진동기수
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
73 
<NA>
20 
2
9 
4
 
1

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 73
70.9%
<NA> 20
 
19.4%
2 9
 
8.7%
4 1
 
1.0%

Length

2024-05-11T05:17:31.292461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:31.626441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
70.9%
na 20
 
19.4%
2 9
 
8.7%
4 1
 
1.0%

트리머수
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
77 
<NA>
20 
2
 
6

Length

Max length4
Median length1
Mean length1.5825243
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 77
74.8%
<NA> 20
 
19.4%
2 6
 
5.8%

Length

2024-05-11T05:17:31.959087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:32.205935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 77
74.8%
na 20
 
19.4%
2 6
 
5.8%

기공용컴프레서수
Categorical

Distinct6
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
64 
<NA>
31 
2
 
4
4
 
2
0
 
1

Length

Max length4
Median length1
Mean length1.9029126
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 64
62.1%
<NA> 31
30.1%
2 4
 
3.9%
4 2
 
1.9%
0 1
 
1.0%
3 1
 
1.0%

Length

2024-05-11T05:17:32.486606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:32.711627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 64
62.1%
na 31
30.1%
2 4
 
3.9%
4 2
 
1.9%
0 1
 
1.0%
3 1
 
1.0%

샌드기수
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
64 
<NA>
31 
2
 
5
3
 
2
0
 
1

Length

Max length4
Median length1
Mean length1.9029126
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 64
62.1%
<NA> 31
30.1%
2 5
 
4.9%
3 2
 
1.9%
0 1
 
1.0%

Length

2024-05-11T05:17:32.955491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:33.188135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 64
62.1%
na 31
30.1%
2 5
 
4.9%
3 2
 
1.9%
0 1
 
1.0%

진공매몰기수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
69 
<NA>
31 
3
 
1
0
 
1
2
 
1

Length

Max length4
Median length1
Mean length1.9029126
Min length1

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
67.0%
<NA> 31
30.1%
3 1
 
1.0%
0 1
 
1.0%
2 1
 
1.0%

Length

2024-05-11T05:17:33.418056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:33.678051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
67.0%
na 31
30.1%
3 1
 
1.0%
0 1
 
1.0%
2 1
 
1.0%

핀덱스수
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
69 
<NA>
31 
0
 
2
2
 
1

Length

Max length4
Median length1
Mean length1.9029126
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
67.0%
<NA> 31
30.1%
0 2
 
1.9%
2 1
 
1.0%

Length

2024-05-11T05:17:33.911243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:17:34.118040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
67.0%
na 31
30.1%
0 2
 
1.9%
2 1
 
1.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03240000PHMB31986324003306230000119860902<NA>1영업/정상13영업중<NA><NA><NA><NA>470-0233<NA>134020서울특별시 강동구 천호동 217번지 132호 동아하이빌상가 303호<NA><NA>동서울치과기공소2009-01-22 15:24:38I2018-08-31 23:59:59.0<NA>211809.497002449169.81727211211111111<NA><NA><NA><NA>
13240000PHMB31988324003306230000119881228<NA>1영업/정상13영업중<NA><NA><NA><NA>488-2804<NA>134845서울특별시 강동구 성내3동 423번지 40호 2층서울특별시 강동구 풍성로52길 29, 2층 (성내동)5403경희치과기공소2011-12-14 09:44:46I2018-08-31 23:59:59.0<NA>211600.514552447373.246348113111111111111
23240000PHMB31992324003306230000119920713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 47번지서울특별시 강동구 명일로 273, 3층 303호 (길동)5301대웅치과기공소2022-10-26 17:53:31U2021-10-30 22:08:00.0<NA>212963.662828448994.941211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000PHMB31994324003306230000119940718<NA>3폐업3폐업20120113<NA><NA><NA>487-3453<NA>134851서울특별시 강동구 성내1동 564번지 8호 2층서울특별시 강동구 성안로3길 68-9 (성내동)134851연세치과기공소2012-01-13 16:12:59I2018-08-31 23:59:59.0<NA>211102.435349447252.928256113111111111111
43240000PHMB31996324003306230000119960319<NA>1영업/정상13영업중<NA><NA><NA><NA>02-471-5351<NA><NA>서울특별시 강동구 길동 448-1서울특별시 강동구 진황도로 94, 3층 (길동)5355쟁이얼치과기공소2021-12-24 17:00:42U2021-12-26 02:40:00.0<NA>212005.336583448190.898724213114534424231
53240000PHMB31997324003306230000119970327<NA>1영업/정상13영업중<NA><NA><NA><NA>489-1145<NA>134020서울특별시 강동구 천호동 456번지 (402호)<NA><NA>정치과기공소2009-01-22 15:48:27I2018-08-31 23:59:59.0<NA>210825.177288448573.81495511211111111<NA><NA><NA><NA>
63240000PHMB31998324003306230000119980817<NA>3폐업3폐업20090122<NA><NA><NA>427-4216<NA><NA>서울특별시 강동구 암사동 400번지 5호 강동현대홈타운서울특별시 강동구 고덕로27길 28, 강동현대홈타운 (암사동)5236하눌치과기공소2020-05-01 11:08:37U2020-05-03 02:40:00.0<NA>212128.748651450405.144983112111111111111
73240000PHMB31998324003306230000219980526<NA>3폐업3폐업20111202<NA><NA><NA>475-4807<NA>134030서울특별시 강동구 성내동 464번지 (2층)<NA><NA>두레치과기공소2011-12-02 16:45:59I2018-08-31 23:59:59.0<NA>210924.299188447272.415714112111111111111
83240000PHMB31999324003306230000119990517<NA>1영업/정상13영업중<NA><NA><NA><NA>470-3683<NA>134030서울특별시 강동구 성내동 12번지 39호 (3층)<NA><NA>성모치과기공소2011-12-21 14:01:00I2018-08-31 23:59:59.0<NA>211148.767663448243.200916112111111111111
93240000PHMB31999324003306230000219991029<NA>1영업/정상13영업중<NA><NA><NA><NA>474-9014<NA>134020서울특별시 강동구 천호동 49번지 13호 (2층)<NA><NA>명성치과기공소2009-01-22 16:11:25I2018-08-31 23:59:59.0<NA>212293.935301448961.57062311211111111<NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
933240000PHMB32021324003306230000220211108<NA>1영업/정상13영업중<NA><NA><NA><NA>02-467-2803<NA><NA>서울특별시 강동구 암사동 478-1 성심빌딩서울특별시 강동구 암사길 56, 성심빌딩 2층 201호 (암사동)5259웰치과기공소2021-11-09 08:54:34I2021-11-11 00:22:54.0<NA>211904.48721449957.424684114112311111111
943240000PHMB32021324003306230000320180704<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6401-6846<NA><NA>서울특별시 강동구 길동 83-4 이진빌딩서울특별시 강동구 명일로26길 12, 이진빌딩 3층 (길동)5300미드라인치과기공소2021-12-15 11:30:22I2021-12-17 00:22:42.0<NA>213027.521448448948.849544112011112111111
953240000PHMB32022324003306230000119940427<NA>1영업/정상13영업중<NA><NA><NA><NA>02-474-2804<NA><NA>서울특별시 강동구 성내동 120-84서울특별시 강동구 풍성로 104, 3층 (성내동)5392인덴치과기공소2022-09-20 11:50:38U2021-12-08 22:02:00.0<NA>210863.964123447784.798733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963240000PHMB32022324003306230000220220404<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 454-2서울특별시 강동구 천호대로175길 11, 5층 (길동)5355라온치과기공소2022-04-04 13:28:21I2021-12-04 00:06:00.0<NA>212004.614056448123.892547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
973240000PHMB32022324003306230000320170119<NA>1영업/정상13영업중<NA><NA><NA><NA>702-2855<NA><NA>서울특별시 강동구 고덕동 499 고덕아이파크서울특별시 강동구 동남로79길 26, 4층 402호 (고덕동, 고덕아이파크)5232플라톤 치과기공소2022-05-18 09:50:52I2021-12-04 22:00:00.0<NA>213646.900696450750.547533<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
983240000PHMB32022324003306230000420120917<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 454 평화빌딩서울특별시 강동구 진황도로 162, 평화빌딩 401호 (둔촌동)5364더블유치과기공소2022-06-16 10:08:20I2021-12-05 23:08:00.0<NA>212456.860753447726.285719<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
993240000PHMB32022324003306230000520220718<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 505-11 동백빌딩서울특별시 강동구 올림픽로 823, 동백빌딩 4층 401호 (암사동)5241호연지기치과기공소2022-07-18 11:53:09I2021-12-06 22:00:00.0<NA>211314.789503450264.713132<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1003240000PHMB3202432400330623000012024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 322-23 우창빌딩서울특별시 강동구 양재대로128길 36, 우창빌딩 3층 (길동)5302제일치과기공소2024-03-11 17:55:18I2023-12-02 23:03:00.0<NA>212719.842645449147.625791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1013240000PHMB3202432400330623000022024-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-428-2804<NA><NA>서울특별시 강동구 명일동 341-5서울특별시 강동구 상암로 211, 3층 (명일동)5294한결치과기공소2024-04-02 11:46:56I2023-12-04 00:04:00.0<NA>212846.658699449387.020375<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1023240000PHMB3202432400330623000032024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 98-12서울특별시 강동구 고덕비즈밸리로2가길 21, 204호 (고덕동)5203이보다(E-VODA) 치과기공소2024-04-26 14:43:15I2023-12-03 22:08:00.0<NA>214122.104823451532.728746<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>