Overview

Dataset statistics

Number of variables40
Number of observations114
Missing cells914
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.6 KiB
Average record size in memory347.2 B

Variable types

Categorical20
Text6
DateTime5
Unsupported5
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16475/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has constant value ""Constant
기공용레스수 is highly imbalanced (51.6%)Imbalance
아세틸렌수 is highly imbalanced (58.6%)Imbalance
치과용프레스수 is highly imbalanced (51.6%)Imbalance
인허가취소일자 has 113 (99.1%) missing valuesMissing
폐업일자 has 61 (53.5%) missing valuesMissing
휴업시작일자 has 114 (100.0%) missing valuesMissing
휴업종료일자 has 114 (100.0%) missing valuesMissing
재개업일자 has 114 (100.0%) missing valuesMissing
전화번호 has 32 (28.1%) missing valuesMissing
소재지면적 has 114 (100.0%) missing valuesMissing
소재지우편번호 has 52 (45.6%) missing valuesMissing
지번주소 has 10 (8.8%) missing valuesMissing
도로명주소 has 5 (4.4%) missing valuesMissing
도로명우편번호 has 38 (33.3%) missing valuesMissing
업태구분명 has 114 (100.0%) missing valuesMissing
좌표정보(X) has 6 (5.3%) missing valuesMissing
좌표정보(Y) has 6 (5.3%) missing valuesMissing
기공용모터수 has 21 (18.4%) 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 02:22:49.724466
Analysis finished2024-05-11 02:22:51.168039
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
3210000
114 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 114
100.0%

Length

2024-05-11T02:22:51.374444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:22:51.645586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 114
100.0%

관리번호
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T02:22:52.137487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2850
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

Unique114 ?
Unique (%)100.0%

Sample

1st rowPHMB319793210034062300001
2nd rowPHMB319823210034062300001
3rd rowPHMB319893210034062300001
4th rowPHMB319903210034062300001
5th rowPHMB319913210034062300001
ValueCountFrequency (%)
phmb319793210034062300001 1
 
0.9%
phmb320183210034062300007 1
 
0.9%
phmb320183210034062300005 1
 
0.9%
phmb320183210034062300002 1
 
0.9%
phmb320183210034062300001 1
 
0.9%
phmb320173210034062300004 1
 
0.9%
phmb320173210034062300003 1
 
0.9%
phmb320173210034062300002 1
 
0.9%
phmb320173210034062300001 1
 
0.9%
phmb320163210034062300005 1
 
0.9%
Other values (104) 104
91.2%
2024-05-11T02:22:53.225403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 943
33.1%
3 487
17.1%
2 388
13.6%
1 218
 
7.6%
4 136
 
4.8%
6 128
 
4.5%
P 114
 
4.0%
H 114
 
4.0%
M 114
 
4.0%
B 114
 
4.0%
Other values (4) 94
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2394
84.0%
Uppercase Letter 456
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 943
39.4%
3 487
20.3%
2 388
16.2%
1 218
 
9.1%
4 136
 
5.7%
6 128
 
5.3%
9 41
 
1.7%
5 21
 
0.9%
8 17
 
0.7%
7 15
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 114
25.0%
H 114
25.0%
M 114
25.0%
B 114
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2394
84.0%
Latin 456
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 943
39.4%
3 487
20.3%
2 388
16.2%
1 218
 
9.1%
4 136
 
5.7%
6 128
 
5.3%
9 41
 
1.7%
5 21
 
0.9%
8 17
 
0.7%
7 15
 
0.6%
Latin
ValueCountFrequency (%)
P 114
25.0%
H 114
25.0%
M 114
25.0%
B 114
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 943
33.1%
3 487
17.1%
2 388
13.6%
1 218
 
7.6%
4 136
 
4.8%
6 128
 
4.5%
P 114
 
4.0%
H 114
 
4.0%
M 114
 
4.0%
B 114
 
4.0%
Other values (4) 94
 
3.3%

인허가일자
Date

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum1979-02-10 00:00:00
Maximum2024-02-25 00:00:00
2024-05-11T02:22:53.725831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:22:54.314013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing113
Missing (%)99.1%
Memory size1.0 KiB
Minimum2023-06-07 00:00:00
Maximum2023-06-07 00:00:00
2024-05-11T02:22:54.789007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:22:55.176360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태코드
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
57 
3
52 
5
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
50.0%
3 52
45.6%
5 4
 
3.5%
4 1
 
0.9%

Length

2024-05-11T02:22:55.642439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:22:56.040087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
50.0%
3 52
45.6%
5 4
 
3.5%
4 1
 
0.9%

영업상태명
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업/정상
57 
폐업
52 
제외/삭제/전출
 
4
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length11
Mean length3.8157895
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 57
50.0%
폐업 52
45.6%
제외/삭제/전출 4
 
3.5%
취소/말소/만료/정지/중지 1
 
0.9%

Length

2024-05-11T02:22:56.401382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:22:56.808261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 57
50.0%
폐업 52
45.6%
제외/삭제/전출 4
 
3.5%
취소/말소/만료/정지/중지 1
 
0.9%

상세영업상태코드
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
13
57 
3
52 
15
 
3
24
 
1
99
 
1

Length

Max length2
Median length2
Mean length1.5438596
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 57
50.0%
3 52
45.6%
15 3
 
2.6%
24 1
 
0.9%
99 1
 
0.9%

Length

2024-05-11T02:22:57.307684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:22:57.757384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 57
50.0%
3 52
45.6%
15 3
 
2.6%
24 1
 
0.9%
99 1
 
0.9%

상세영업상태명
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
영업중
57 
폐업
52 
전출
 
3
직권폐업
 
1
삭제
 
1

Length

Max length4
Median length3.5
Mean length2.5175439
Min length2

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 57
50.0%
폐업 52
45.6%
전출 3
 
2.6%
직권폐업 1
 
0.9%
삭제 1
 
0.9%

Length

2024-05-11T02:22:58.337549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:22:58.755095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 57
50.0%
폐업 52
45.6%
전출 3
 
2.6%
직권폐업 1
 
0.9%
삭제 1
 
0.9%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)98.1%
Missing61
Missing (%)53.5%
Memory size1.0 KiB
Minimum2006-08-21 00:00:00
Maximum2023-03-21 00:00:00
2024-05-11T02:22:59.517785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:23:00.151490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct80
Distinct (%)97.6%
Missing32
Missing (%)28.1%
Memory size1.0 KiB
2024-05-11T02:23:00.727368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length9.3658537
Min length8

Characters and Unicode

Total characters768
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

Unique78 ?
Unique (%)95.1%

Sample

1st row582-2875
2nd row542-4782
3rd row02-575-2816
4th row515-0606
5th row02-532-2845
ValueCountFrequency (%)
02-597-2804 2
 
2.4%
3448-2804 2
 
2.4%
574-2428 1
 
1.2%
02-581-2804 1
 
1.2%
6229-2804 1
 
1.2%
579-2879 1
 
1.2%
577-8601 1
 
1.2%
514-2813 1
 
1.2%
6326-2804 1
 
1.2%
02-2057-2804 1
 
1.2%
Other values (70) 70
85.4%
2024-05-11T02:23:01.765953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 113
14.7%
- 107
13.9%
8 97
12.6%
0 83
10.8%
4 76
9.9%
5 75
9.8%
7 71
9.2%
3 42
 
5.5%
9 38
 
4.9%
6 33
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 661
86.1%
Dash Punctuation 107
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 113
17.1%
8 97
14.7%
0 83
12.6%
4 76
11.5%
5 75
11.3%
7 71
10.7%
3 42
 
6.4%
9 38
 
5.7%
6 33
 
5.0%
1 33
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 113
14.7%
- 107
13.9%
8 97
12.6%
0 83
10.8%
4 76
9.9%
5 75
9.8%
7 71
9.2%
3 42
 
5.5%
9 38
 
4.9%
6 33
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 113
14.7%
- 107
13.9%
8 97
12.6%
0 83
10.8%
4 76
9.9%
5 75
9.8%
7 71
9.2%
3 42
 
5.5%
9 38
 
4.9%
6 33
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Text

MISSING 

Distinct45
Distinct (%)72.6%
Missing52
Missing (%)45.6%
Memory size1.0 KiB
2024-05-11T02:23:02.268325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0322581
Min length6

Characters and Unicode

Total characters374
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

Unique34 ?
Unique (%)54.8%

Sample

1st row137872
2nd row137905
3rd row137903
4th row137838
5th row137858
ValueCountFrequency (%)
137030 5
 
8.1%
137818 4
 
6.5%
137838 3
 
4.8%
137905 2
 
3.2%
137903 2
 
3.2%
137071 2
 
3.2%
137887 2
 
3.2%
137064 2
 
3.2%
137886 2
 
3.2%
137890 2
 
3.2%
Other values (35) 36
58.1%
2024-05-11T02:23:03.174198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 81
21.7%
1 77
20.6%
7 74
19.8%
8 61
16.3%
0 34
9.1%
9 13
 
3.5%
4 11
 
2.9%
6 11
 
2.9%
5 6
 
1.6%
2 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 372
99.5%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 81
21.8%
1 77
20.7%
7 74
19.9%
8 61
16.4%
0 34
9.1%
9 13
 
3.5%
4 11
 
3.0%
6 11
 
3.0%
5 6
 
1.6%
2 4
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 81
21.7%
1 77
20.6%
7 74
19.8%
8 61
16.3%
0 34
9.1%
9 13
 
3.5%
4 11
 
2.9%
6 11
 
2.9%
5 6
 
1.6%
2 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 81
21.7%
1 77
20.6%
7 74
19.8%
8 61
16.3%
0 34
9.1%
9 13
 
3.5%
4 11
 
2.9%
6 11
 
2.9%
5 6
 
1.6%
2 4
 
1.1%

지번주소
Text

MISSING 

Distinct103
Distinct (%)99.0%
Missing10
Missing (%)8.8%
Memory size1.0 KiB
2024-05-11T02:23:03.833855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32.5
Mean length25.759615
Min length13

Characters and Unicode

Total characters2679
Distinct characters108
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)98.1%

Sample

1st row서울특별시 서초구 서초3동 1548번지 4호 3층
2nd row서울특별시 서초구 잠원동 40번지 9호
3rd row서울특별시 서초구 양재동 10번지 6호
4th row서울특별시 서초구 잠원동 19번지 3호 3층
5th row서울특별시 서초구 방배4동 862번지 10호 2층
ValueCountFrequency (%)
서울특별시 103
 
17.7%
서초구 103
 
17.7%
방배동 19
 
3.3%
서초동 14
 
2.4%
잠원동 13
 
2.2%
3층 13
 
2.2%
2층 12
 
2.1%
양재동 11
 
1.9%
반포동 9
 
1.5%
9호 8
 
1.4%
Other values (180) 276
47.5%
2024-05-11T02:23:04.876931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
479
17.9%
서 234
 
8.7%
초 128
 
4.8%
동 110
 
4.1%
1 109
 
4.1%
구 105
 
3.9%
시 104
 
3.9%
특 103
 
3.8%
별 103
 
3.8%
울 103
 
3.8%
Other values (98) 1101
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1602
59.8%
Decimal Number 569
 
21.2%
Space Separator 479
 
17.9%
Dash Punctuation 25
 
0.9%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 234
14.6%
초 128
 
8.0%
동 110
 
6.9%
구 105
 
6.6%
시 104
 
6.5%
특 103
 
6.4%
별 103
 
6.4%
울 103
 
6.4%
호 92
 
5.7%
번 76
 
4.7%
Other values (82) 444
27.7%
Decimal Number
ValueCountFrequency (%)
1 109
19.2%
2 90
15.8%
3 70
12.3%
4 63
11.1%
5 51
9.0%
0 49
8.6%
9 37
 
6.5%
7 35
 
6.2%
8 35
 
6.2%
6 30
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
C 1
25.0%
B 1
25.0%
J 1
25.0%
Space Separator
ValueCountFrequency (%)
479
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1602
59.8%
Common 1073
40.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 234
14.6%
초 128
 
8.0%
동 110
 
6.9%
구 105
 
6.6%
시 104
 
6.5%
특 103
 
6.4%
별 103
 
6.4%
울 103
 
6.4%
호 92
 
5.7%
번 76
 
4.7%
Other values (82) 444
27.7%
Common
ValueCountFrequency (%)
479
44.6%
1 109
 
10.2%
2 90
 
8.4%
3 70
 
6.5%
4 63
 
5.9%
5 51
 
4.8%
0 49
 
4.6%
9 37
 
3.4%
7 35
 
3.3%
8 35
 
3.3%
Other values (2) 55
 
5.1%
Latin
ValueCountFrequency (%)
Y 1
25.0%
C 1
25.0%
B 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1602
59.8%
ASCII 1077
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
479
44.5%
1 109
 
10.1%
2 90
 
8.4%
3 70
 
6.5%
4 63
 
5.8%
5 51
 
4.7%
0 49
 
4.5%
9 37
 
3.4%
7 35
 
3.2%
8 35
 
3.2%
Other values (6) 59
 
5.5%
Hangul
ValueCountFrequency (%)
서 234
14.6%
초 128
 
8.0%
동 110
 
6.9%
구 105
 
6.6%
시 104
 
6.5%
특 103
 
6.4%
별 103
 
6.4%
울 103
 
6.4%
호 92
 
5.7%
번 76
 
4.7%
Other values (82) 444
27.7%

도로명주소
Text

MISSING 

Distinct106
Distinct (%)97.2%
Missing5
Missing (%)4.4%
Memory size1.0 KiB
2024-05-11T02:23:05.400919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length39
Mean length32.412844
Min length22

Characters and Unicode

Total characters3533
Distinct characters137
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

Unique104 ?
Unique (%)95.4%

Sample

1st row서울특별시 서초구 서초대로42길 71 (서초동,3층)
2nd row서울특별시 서초구 신반포로 329 (잠원동)
3rd row서울특별시 서초구 강남대로34길 32, 201호 (양재동)
4th row서울특별시 서초구 강남대로99길 36, 3층 (잠원동)
5th row서울특별시 서초구 도구로 112, 301호 (방배동)
ValueCountFrequency (%)
서울특별시 108
 
16.0%
서초구 108
 
16.0%
방배동 25
 
3.7%
서초동 18
 
2.7%
양재동 17
 
2.5%
2층 14
 
2.1%
반포동 14
 
2.1%
3층 11
 
1.6%
4층 11
 
1.6%
잠원동 8
 
1.2%
Other values (239) 342
50.6%
2024-05-11T02:23:06.519034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
567
 
16.0%
서 269
 
7.6%
초 153
 
4.3%
동 118
 
3.3%
구 112
 
3.2%
시 109
 
3.1%
) 109
 
3.1%
( 109
 
3.1%
특 108
 
3.1%
별 108
 
3.1%
Other values (127) 1771
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2039
57.7%
Decimal Number 575
 
16.3%
Space Separator 567
 
16.0%
Close Punctuation 109
 
3.1%
Open Punctuation 109
 
3.1%
Other Punctuation 106
 
3.0%
Dash Punctuation 20
 
0.6%
Uppercase Letter 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 269
 
13.2%
초 153
 
7.5%
동 118
 
5.8%
구 112
 
5.5%
시 109
 
5.3%
특 108
 
5.3%
별 108
 
5.3%
울 108
 
5.3%
로 105
 
5.1%
길 73
 
3.6%
Other values (106) 776
38.1%
Decimal Number
ValueCountFrequency (%)
3 98
17.0%
1 96
16.7%
2 92
16.0%
4 56
9.7%
0 55
9.6%
5 52
9.0%
7 44
7.7%
6 34
 
5.9%
9 29
 
5.0%
8 19
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
A 1
 
12.5%
G 1
 
12.5%
Y 1
 
12.5%
C 1
 
12.5%
J 1
 
12.5%
Space Separator
ValueCountFrequency (%)
567
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Other Punctuation
ValueCountFrequency (%)
, 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2039
57.7%
Common 1486
42.1%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 269
 
13.2%
초 153
 
7.5%
동 118
 
5.8%
구 112
 
5.5%
시 109
 
5.3%
특 108
 
5.3%
별 108
 
5.3%
울 108
 
5.3%
로 105
 
5.1%
길 73
 
3.6%
Other values (106) 776
38.1%
Common
ValueCountFrequency (%)
567
38.2%
) 109
 
7.3%
( 109
 
7.3%
, 106
 
7.1%
3 98
 
6.6%
1 96
 
6.5%
2 92
 
6.2%
4 56
 
3.8%
0 55
 
3.7%
5 52
 
3.5%
Other values (5) 146
 
9.8%
Latin
ValueCountFrequency (%)
B 3
37.5%
A 1
 
12.5%
G 1
 
12.5%
Y 1
 
12.5%
C 1
 
12.5%
J 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2039
57.7%
ASCII 1494
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
567
38.0%
) 109
 
7.3%
( 109
 
7.3%
, 106
 
7.1%
3 98
 
6.6%
1 96
 
6.4%
2 92
 
6.2%
4 56
 
3.7%
0 55
 
3.7%
5 52
 
3.5%
Other values (11) 154
 
10.3%
Hangul
ValueCountFrequency (%)
서 269
 
13.2%
초 153
 
7.5%
동 118
 
5.8%
구 112
 
5.5%
시 109
 
5.3%
특 108
 
5.3%
별 108
 
5.3%
울 108
 
5.3%
로 105
 
5.1%
길 73
 
3.6%
Other values (106) 776
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)73.7%
Missing38
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean15358.447
Minimum6501
Maximum137974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T02:23:06.946483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6501
5-th percentile6526
Q16568
median6641.5
Q36735
95-th percentile137826.25
Maximum137974
Range131473
Interquartile range (IQR)167

Descriptive statistics

Standard deviation32742.223
Coefficient of variation (CV)2.1318706
Kurtosis11.046033
Mean15358.447
Median Absolute Deviation (MAD)83.5
Skewness3.5702669
Sum1167242
Variance1.0720532 × 109
MonotonicityNot monotonic
2024-05-11T02:23:07.429144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6570 6
 
5.3%
6526 4
 
3.5%
6775 2
 
1.8%
6542 2
 
1.8%
6531 2
 
1.8%
6536 2
 
1.8%
6568 2
 
1.8%
6748 2
 
1.8%
6777 2
 
1.8%
6543 2
 
1.8%
Other values (46) 50
43.9%
(Missing) 38
33.3%
ValueCountFrequency (%)
6501 1
 
0.9%
6526 4
3.5%
6530 1
 
0.9%
6531 2
1.8%
6535 1
 
0.9%
6536 2
1.8%
6541 1
 
0.9%
6542 2
1.8%
6543 2
1.8%
6558 1
 
0.9%
ValueCountFrequency (%)
137974 1
0.9%
137896 1
0.9%
137890 1
0.9%
137878 1
0.9%
137809 1
0.9%
13591 1
0.9%
6787 1
0.9%
6785 1
0.9%
6777 2
1.8%
6775 2
1.8%

사업장명
Text

Distinct111
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-05-11T02:23:08.135953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length8.4736842
Min length4

Characters and Unicode

Total characters966
Distinct characters187
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

Unique108 ?
Unique (%)94.7%

Sample

1st row서치과기공소
2nd row영동치과기공소
3rd row성형치과기공소
4th row정우치과기공소
5th row하나치과기공소
ValueCountFrequency (%)
dental 4
 
3.1%
lab 3
 
2.3%
기공소 2
 
1.6%
성민치과기공소 2
 
1.6%
맥치과기공소 2
 
1.6%
마인드치과기공소 2
 
1.6%
제이바이오메카닉기공소 1
 
0.8%
본치과기공소 1
 
0.8%
디피아이치과기공소 1
 
0.8%
바른치과기공소 1
 
0.8%
Other values (109) 109
85.2%
2024-05-11T02:23:09.232454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 104
 
10.8%
기 103
 
10.7%
공 102
 
10.6%
치 99
 
10.2%
과 97
 
10.0%
이 20
 
2.1%
아 15
 
1.6%
14
 
1.4%
덴 13
 
1.3%
스 11
 
1.1%
Other values (177) 388
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 861
89.1%
Lowercase Letter 50
 
5.2%
Uppercase Letter 21
 
2.2%
Space Separator 14
 
1.4%
Open Punctuation 7
 
0.7%
Close Punctuation 7
 
0.7%
Other Punctuation 3
 
0.3%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 104
 
12.1%
기 103
 
12.0%
공 102
 
11.8%
치 99
 
11.5%
과 97
 
11.3%
이 20
 
2.3%
아 15
 
1.7%
덴 13
 
1.5%
스 11
 
1.3%
디 10
 
1.2%
Other values (143) 287
33.3%
Lowercase Letter
ValueCountFrequency (%)
a 9
18.0%
l 8
16.0%
e 5
10.0%
d 5
10.0%
t 5
10.0%
b 4
8.0%
n 4
8.0%
o 3
 
6.0%
c 1
 
2.0%
i 1
 
2.0%
Other values (5) 5
10.0%
Uppercase Letter
ValueCountFrequency (%)
L 5
23.8%
J 3
14.3%
D 2
 
9.5%
W 2
 
9.5%
I 1
 
4.8%
A 1
 
4.8%
B 1
 
4.8%
P 1
 
4.8%
Y 1
 
4.8%
T 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
8 2
66.7%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 861
89.1%
Latin 71
 
7.3%
Common 34
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 104
 
12.1%
기 103
 
12.0%
공 102
 
11.8%
치 99
 
11.5%
과 97
 
11.3%
이 20
 
2.3%
아 15
 
1.7%
덴 13
 
1.5%
스 11
 
1.3%
디 10
 
1.2%
Other values (143) 287
33.3%
Latin
ValueCountFrequency (%)
a 9
12.7%
l 8
 
11.3%
e 5
 
7.0%
d 5
 
7.0%
t 5
 
7.0%
L 5
 
7.0%
b 4
 
5.6%
n 4
 
5.6%
J 3
 
4.2%
o 3
 
4.2%
Other values (18) 20
28.2%
Common
ValueCountFrequency (%)
14
41.2%
( 7
20.6%
) 7
20.6%
. 3
 
8.8%
8 2
 
5.9%
0 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 861
89.1%
ASCII 105
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 104
 
12.1%
기 103
 
12.0%
공 102
 
11.8%
치 99
 
11.5%
과 97
 
11.3%
이 20
 
2.3%
아 15
 
1.7%
덴 13
 
1.5%
스 11
 
1.3%
디 10
 
1.2%
Other values (143) 287
33.3%
ASCII
ValueCountFrequency (%)
14
 
13.3%
a 9
 
8.6%
l 8
 
7.6%
( 7
 
6.7%
) 7
 
6.7%
e 5
 
4.8%
d 5
 
4.8%
t 5
 
4.8%
L 5
 
4.8%
b 4
 
3.8%
Other values (24) 36
34.3%

최종수정일자
Date

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2009-06-12 14:53:56
Maximum2024-03-06 10:57:04
2024-05-11T02:23:09.738069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:23:10.366480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
I
84 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 84
73.7%
U 30
 
26.3%

Length

2024-05-11T02:23:10.883465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:11.201262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 84
73.7%
u 30
 
26.3%

데이터갱신일자
Date

Distinct49
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-05-11T02:23:11.569984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:23:12.090988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing114
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)87.0%
Missing6
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean201060.49
Minimum198397.8
Maximum210945.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T02:23:12.668324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198397.8
5-th percentile198443.97
Q1199154.65
median201535.02
Q3201949.07
95-th percentile203604.98
Maximum210945.77
Range12547.967
Interquartile range (IQR)2794.4144

Descriptive statistics

Standard deviation2030.0012
Coefficient of variation (CV)0.01009647
Kurtosis3.5780817
Mean201060.49
Median Absolute Deviation (MAD)1831.3168
Skewness0.97881687
Sum21714533
Variance4120905
MonotonicityNot monotonic
2024-05-11T02:23:13.193319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203480.475836652 3
 
2.6%
199764.775594425 2
 
1.8%
198491.769380624 2
 
1.8%
198432.354182494 2
 
1.8%
201591.418929224 2
 
1.8%
201636.501068483 2
 
1.8%
201803.263928501 2
 
1.8%
201636.674166687 2
 
1.8%
201796.954350854 2
 
1.8%
203519.285719941 2
 
1.8%
Other values (84) 87
76.3%
(Missing) 6
 
5.3%
ValueCountFrequency (%)
198397.797879556 1
0.9%
198410.383220277 1
0.9%
198419.357066892 1
0.9%
198432.354182494 2
1.8%
198443.594689311 1
0.9%
198444.667531433 1
0.9%
198444.91721757 1
0.9%
198446.905928298 1
0.9%
198491.769380624 2
1.8%
198496.298432162 1
0.9%
ValueCountFrequency (%)
210945.765 1
0.9%
203922.429796314 2
1.8%
203859.734876498 1
0.9%
203797.635 1
0.9%
203612.651462043 1
0.9%
203590.73753108 1
0.9%
203562.10366417 1
0.9%
203547.138279029 1
0.9%
203519.285719941 2
1.8%
203508.242833758 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)87.0%
Missing6
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean443050.49
Minimum431481.94
Maximum445861.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T02:23:13.761069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum431481.94
5-th percentile441404.5
Q1442258.4
median442686.05
Q3444174.88
95-th percentile445634.18
Maximum445861.08
Range14379.139
Interquartile range (IQR)1916.4855

Descriptive statistics

Standard deviation1770.6539
Coefficient of variation (CV)0.0039965059
Kurtosis15.863419
Mean443050.49
Median Absolute Deviation (MAD)660.55475
Skewness-2.2500717
Sum47849453
Variance3135215.2
MonotonicityNot monotonic
2024-05-11T02:23:14.373220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441746.453755721 3
 
2.6%
444106.170979475 2
 
1.8%
442026.232490045 2
 
1.8%
442643.16392201 2
 
1.8%
445844.639767736 2
 
1.8%
444644.808793305 2
 
1.8%
445099.581299493 2
 
1.8%
445528.89376677 2
 
1.8%
442524.546475819 2
 
1.8%
442287.454598568 2
 
1.8%
Other values (84) 87
76.3%
(Missing) 6
 
5.3%
ValueCountFrequency (%)
431481.94 1
0.9%
440751.051547738 1
0.9%
440819.395 1
0.9%
441034.560045242 1
0.9%
441297.035323844 1
0.9%
441391.036403077 1
0.9%
441429.509508387 1
0.9%
441450.447733835 1
0.9%
441511.541680395 2
1.8%
441640.822531697 1
0.9%
ValueCountFrequency (%)
445861.078952221 2
1.8%
445844.639767736 2
1.8%
445742.690982661 1
0.9%
445646.031130931 1
0.9%
445612.182605594 1
0.9%
445528.89376677 2
1.8%
445527.760231567 1
0.9%
445484.585761133 1
0.9%
445450.136483901 1
0.9%
445398.655507383 1
0.9%

기공용레스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
88 
<NA>
21 
2
 
4
3
 
1

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 88
77.2%
<NA> 21
 
18.4%
2 4
 
3.5%
3 1
 
0.9%

Length

2024-05-11T02:23:14.903409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:15.399915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 88
77.2%
na 21
 
18.4%
2 4
 
3.5%
3 1
 
0.9%

원심주조기수
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
90 
<NA>
21 
2
 
3

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 90
78.9%
<NA> 21
 
18.4%
2 3
 
2.6%

Length

2024-05-11T02:23:16.103516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:16.668024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 90
78.9%
na 21
 
18.4%
2 3
 
2.6%

기공용모터수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)12.9%
Missing21
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean3.827957
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T02:23:17.189226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile10
Maximum15
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3757088
Coefficient of variation (CV)0.62062057
Kurtosis6.8698112
Mean3.827957
Median Absolute Deviation (MAD)1
Skewness2.4609318
Sum356
Variance5.6439925
MonotonicityNot monotonic
2024-05-11T02:23:17.729855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 46
40.4%
2 14
 
12.3%
5 10
 
8.8%
4 10
 
8.8%
10 4
 
3.5%
1 3
 
2.6%
15 1
 
0.9%
7 1
 
0.9%
12 1
 
0.9%
6 1
 
0.9%
Other values (2) 2
 
1.8%
(Missing) 21
18.4%
ValueCountFrequency (%)
1 3
 
2.6%
2 14
 
12.3%
3 46
40.4%
4 10
 
8.8%
5 10
 
8.8%
6 1
 
0.9%
7 1
 
0.9%
8 1
 
0.9%
9 1
 
0.9%
10 4
 
3.5%
ValueCountFrequency (%)
15 1
 
0.9%
12 1
 
0.9%
10 4
 
3.5%
9 1
 
0.9%
8 1
 
0.9%
7 1
 
0.9%
6 1
 
0.9%
5 10
 
8.8%
4 10
 
8.8%
3 46
40.4%

아세틸렌수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
91 
<NA>
21 
2
 
1
0
 
1

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 91
79.8%
<NA> 21
 
18.4%
2 1
 
0.9%
0 1
 
0.9%

Length

2024-05-11T02:23:18.647409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:19.034386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 91
79.8%
na 21
 
18.4%
2 1
 
0.9%
0 1
 
0.9%

치과용프레스수
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
88 
<NA>
21 
2
 
4
3
 
1

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 88
77.2%
<NA> 21
 
18.4%
2 4
 
3.5%
3 1
 
0.9%

Length

2024-05-11T02:23:19.682731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:20.038537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 88
77.2%
na 21
 
18.4%
2 4
 
3.5%
3 1
 
0.9%

전기로수
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
74 
<NA>
21 
2
16 
3
 
2
4
 
1

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 74
64.9%
<NA> 21
 
18.4%
2 16
 
14.0%
3 2
 
1.8%
4 1
 
0.9%

Length

2024-05-11T02:23:20.644857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:21.111819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 74
64.9%
na 21
 
18.4%
2 16
 
14.0%
3 2
 
1.8%
4 1
 
0.9%

포셀린로수
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
65 
<NA>
21 
2
19 
3
 
6
4
 
3

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 65
57.0%
<NA> 21
 
18.4%
2 19
 
16.7%
3 6
 
5.3%
4 3
 
2.6%

Length

2024-05-11T02:23:21.569126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:21.912497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 65
57.0%
na 21
 
18.4%
2 19
 
16.7%
3 6
 
5.3%
4 3
 
2.6%

초음파청소기수
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
91 
<NA>
21 
2
 
2

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 91
79.8%
<NA> 21
 
18.4%
2 2
 
1.8%

Length

2024-05-11T02:23:22.439511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:22.840009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 91
79.8%
na 21
 
18.4%
2 2
 
1.8%

서베이어수
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
87 
<NA>
21 
2
 
5
3
 
1

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 87
76.3%
<NA> 21
 
18.4%
2 5
 
4.4%
3 1
 
0.9%

Length

2024-05-11T02:23:23.310079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:23.782284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 87
76.3%
na 21
 
18.4%
2 5
 
4.4%
3 1
 
0.9%

진동기수
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
85 
<NA>
21 
2
 
8

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 85
74.6%
<NA> 21
 
18.4%
2 8
 
7.0%

Length

2024-05-11T02:23:24.347338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:24.709290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 85
74.6%
na 21
 
18.4%
2 8
 
7.0%

트리머수
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
89 
<NA>
21 
2
 
4

Length

Max length4
Median length1
Mean length1.5526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 89
78.1%
<NA> 21
 
18.4%
2 4
 
3.5%

Length

2024-05-11T02:23:25.233770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:26.003328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 89
78.1%
na 21
 
18.4%
2 4
 
3.5%

기공용컴프레서수
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
72 
<NA>
30 
2
8 
3
 
3
4
 
1

Length

Max length4
Median length1
Mean length1.7894737
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 72
63.2%
<NA> 30
26.3%
2 8
 
7.0%
3 3
 
2.6%
4 1
 
0.9%

Length

2024-05-11T02:23:26.482618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:26.909266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 72
63.2%
na 30
26.3%
2 8
 
7.0%
3 3
 
2.6%
4 1
 
0.9%

샌드기수
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
70 
<NA>
30 
2
13 
3
 
1

Length

Max length4
Median length1
Mean length1.7894737
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
61.4%
<NA> 30
26.3%
2 13
 
11.4%
3 1
 
0.9%

Length

2024-05-11T02:23:27.257371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:27.581590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
61.4%
na 30
26.3%
2 13
 
11.4%
3 1
 
0.9%

진공매몰기수
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
80 
<NA>
30 
2
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.7894737
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 80
70.2%
<NA> 30
 
26.3%
2 3
 
2.6%
3 1
 
0.9%

Length

2024-05-11T02:23:27.934476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:28.334730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 80
70.2%
na 30
 
26.3%
2 3
 
2.6%
3 1
 
0.9%

핀덱스수
Categorical

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
1
83 
<NA>
30 
2
 
1

Length

Max length4
Median length1
Mean length1.7894737
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 83
72.8%
<NA> 30
 
26.3%
2 1
 
0.9%

Length

2024-05-11T02:23:28.824850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:23:29.250634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 83
72.8%
na 30
 
26.3%
2 1
 
0.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03210000PHMB31979321003406230000119790210<NA>3폐업3폐업20121207<NA><NA><NA>582-2875<NA>137872서울특별시 서초구 서초3동 1548번지 4호 3층서울특별시 서초구 서초대로42길 71 (서초동,3층)<NA>서치과기공소2012-12-07 20:49:17I2018-08-31 23:59:59.0<NA>200818.720198442968.564247113111111111111
13210000PHMB31982321003406230000119820306<NA>3폐업3폐업20170718<NA><NA><NA>542-4782<NA>137905서울특별시 서초구 잠원동 40번지 9호서울특별시 서초구 신반포로 329 (잠원동)<NA>영동치과기공소2017-07-17 15:24:20I2018-08-31 23:59:59.0<NA>201654.031425445398.655507113112211111111
23210000PHMB31989321003406230000119890719<NA>1영업/정상13영업중<NA><NA><NA><NA>02-575-2816<NA><NA>서울특별시 서초구 양재동 10번지 6호서울특별시 서초구 강남대로34길 32, 201호 (양재동)6743성형치과기공소2018-12-18 11:11:58I2018-12-20 02:20:22.0<NA>203273.183308442354.649928112111111111111
33210000PHMB31990321003406230000119900802<NA>3폐업3폐업20160923<NA><NA><NA>515-0606<NA>137903서울특별시 서초구 잠원동 19번지 3호 3층서울특별시 서초구 강남대로99길 36, 3층 (잠원동)6526정우치과기공소2017-06-20 10:10:03I2018-08-31 23:59:59.0<NA>201484.907792445861.078952113111111111111
43210000PHMB31991321003406230000119911204<NA>1영업/정상13영업중<NA><NA><NA><NA>02-532-2845<NA><NA><NA>서울특별시 서초구 도구로 112, 301호 (방배동)6570하나치과기공소2016-11-25 18:47:07I2018-08-31 23:59:59.0<NA>198707.28312442687.533995113111111111111
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