Overview

Dataset statistics

Number of variables40
Number of observations96
Missing cells742
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.7 KiB
Average record size in memory348.4 B

Variable types

Categorical20
Text6
DateTime4
Unsupported6
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),기공용레스수,원심주조기수,기공용모터수,아세틸렌수,치과용프레스수,전기로수,포셀린로수,초음파청소기수,서베이어수,진동기수,트리머수,기공용컴프레서수,샌드기수,진공매몰기수,핀덱스수
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16460/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
치과용프레스수 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 96 (100.0%) missing valuesMissing
폐업일자 has 53 (55.2%) missing valuesMissing
휴업시작일자 has 96 (100.0%) missing valuesMissing
휴업종료일자 has 96 (100.0%) missing valuesMissing
재개업일자 has 96 (100.0%) missing valuesMissing
전화번호 has 18 (18.8%) missing valuesMissing
소재지면적 has 96 (100.0%) missing valuesMissing
소재지우편번호 has 45 (46.9%) missing valuesMissing
지번주소 has 5 (5.2%) missing valuesMissing
도로명주소 has 11 (11.5%) missing valuesMissing
도로명우편번호 has 11 (11.5%) missing valuesMissing
업태구분명 has 96 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.0%) missing valuesMissing
좌표정보(Y) has 1 (1.0%) missing valuesMissing
기공용모터수 has 21 (21.9%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 04:33:48.856910
Analysis finished2024-05-11 04:33:49.849634
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
3060000
96 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 96
100.0%

Length

2024-05-11T04:33:50.101069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:50.413823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 96
100.0%

관리번호
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-05-11T04:33:50.847872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2400
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

Unique96 ?
Unique (%)100.0%

Sample

1st rowPHMB319913060034062300001
2nd rowPHMB319933060034062300001
3rd rowPHMB319933060034062300002
4th rowPHMB319943060034062300001
5th rowPHMB319953060034062300001
ValueCountFrequency (%)
phmb319913060034062300001 1
 
1.0%
phmb319933060034062300001 1
 
1.0%
phmb320183060034062300007 1
 
1.0%
phmb320183060034062300006 1
 
1.0%
phmb320183060034062300004 1
 
1.0%
phmb320183060034062300003 1
 
1.0%
phmb320183060034062300002 1
 
1.0%
phmb320183060034062300001 1
 
1.0%
phmb320173060034062300004 1
 
1.0%
phmb320173060034062300003 1
 
1.0%
Other values (86) 86
89.6%
2024-05-11T04:33:51.849857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 896
37.3%
3 406
16.9%
2 235
 
9.8%
6 203
 
8.5%
4 111
 
4.6%
P 96
 
4.0%
H 96
 
4.0%
M 96
 
4.0%
B 96
 
4.0%
1 93
 
3.9%
Other values (4) 72
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
84.0%
Uppercase Letter 384
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 896
44.4%
3 406
20.1%
2 235
 
11.7%
6 203
 
10.1%
4 111
 
5.5%
1 93
 
4.6%
9 33
 
1.6%
8 16
 
0.8%
7 12
 
0.6%
5 11
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
P 96
25.0%
H 96
25.0%
M 96
25.0%
B 96
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2016
84.0%
Latin 384
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 896
44.4%
3 406
20.1%
2 235
 
11.7%
6 203
 
10.1%
4 111
 
5.5%
1 93
 
4.6%
9 33
 
1.6%
8 16
 
0.8%
7 12
 
0.6%
5 11
 
0.5%
Latin
ValueCountFrequency (%)
P 96
25.0%
H 96
25.0%
M 96
25.0%
B 96
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 896
37.3%
3 406
16.9%
2 235
 
9.8%
6 203
 
8.5%
4 111
 
4.6%
P 96
 
4.0%
H 96
 
4.0%
M 96
 
4.0%
B 96
 
4.0%
1 93
 
3.9%
Other values (4) 72
 
3.0%

인허가일자
Date

Distinct95
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum1991-01-25 00:00:00
Maximum2024-01-05 00:00:00
2024-05-11T04:33:52.318472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:33:52.782360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
50 
3
42 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
52.1%
3 42
43.8%
5 4
 
4.2%

Length

2024-05-11T04:33:53.511553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:53.836895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
52.1%
3 42
43.8%
5 4
 
4.2%

영업상태명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
영업/정상
50 
폐업
42 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length3.8125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 50
52.1%
폐업 42
43.8%
제외/삭제/전출 4
 
4.2%

Length

2024-05-11T04:33:54.261839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:55.127673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 50
52.1%
폐업 42
43.8%
제외/삭제/전출 4
 
4.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
13
50 
3
42 
15
 
4

Length

Max length2
Median length2
Mean length1.5625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 50
52.1%
3 42
43.8%
15 4
 
4.2%

Length

2024-05-11T04:33:55.700479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:56.057503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 50
52.1%
3 42
43.8%
15 4
 
4.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
영업중
50 
폐업
42 
전출
 
4

Length

Max length3
Median length3
Mean length2.5208333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 50
52.1%
폐업 42
43.8%
전출 4
 
4.2%

Length

2024-05-11T04:33:56.586195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:33:56.964190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 50
52.1%
폐업 42
43.8%
전출 4
 
4.2%

폐업일자
Date

MISSING 

Distinct43
Distinct (%)100.0%
Missing53
Missing (%)55.2%
Memory size900.0 B
Minimum2009-02-09 00:00:00
Maximum2023-10-25 00:00:00
2024-05-11T04:33:57.304278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:33:57.809439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

전화번호
Text

MISSING 

Distinct72
Distinct (%)92.3%
Missing18
Missing (%)18.8%
Memory size900.0 B
2024-05-11T04:33:58.561516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.564103
Min length8

Characters and Unicode

Total characters824
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

Unique66 ?
Unique (%)84.6%

Sample

1st row02-437-0585
2nd row02-977-3459
3rd row437-6782
4th row02-496-0552
5th row02-495-7638
ValueCountFrequency (%)
02-956-4428 2
 
2.6%
02-493-2804 2
 
2.6%
02-435-2805 2
 
2.6%
02-433-2833 2
 
2.6%
455-3009 2
 
2.6%
02-432-1559 2
 
2.6%
02-2208-2804 1
 
1.3%
433-0961 1
 
1.3%
6338-2804 1
 
1.3%
495-2804 1
 
1.3%
Other values (62) 62
79.5%
2024-05-11T04:33:59.752568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 140
17.0%
- 138
16.7%
0 113
13.7%
4 94
11.4%
8 78
9.5%
3 76
9.2%
9 54
 
6.6%
5 42
 
5.1%
7 38
 
4.6%
6 28
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 686
83.3%
Dash Punctuation 138
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 140
20.4%
0 113
16.5%
4 94
13.7%
8 78
11.4%
3 76
11.1%
9 54
 
7.9%
5 42
 
6.1%
7 38
 
5.5%
6 28
 
4.1%
1 23
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 824
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 140
17.0%
- 138
16.7%
0 113
13.7%
4 94
11.4%
8 78
9.5%
3 76
9.2%
9 54
 
6.6%
5 42
 
5.1%
7 38
 
4.6%
6 28
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 140
17.0%
- 138
16.7%
0 113
13.7%
4 94
11.4%
8 78
9.5%
3 76
9.2%
9 54
 
6.6%
5 42
 
5.1%
7 38
 
4.6%
6 28
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

소재지우편번호
Text

MISSING 

Distinct32
Distinct (%)62.7%
Missing45
Missing (%)46.9%
Memory size900.0 B
2024-05-11T04:34:00.323117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0588235
Min length6

Characters and Unicode

Total characters309
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)41.2%

Sample

1st row131859
2nd row131852
3rd row131807
4th row131851
5th row131860
ValueCountFrequency (%)
131860 5
 
9.8%
131859 5
 
9.8%
131830 3
 
5.9%
131810 3
 
5.9%
131807 2
 
3.9%
131876 2
 
3.9%
131813 2
 
3.9%
131852 2
 
3.9%
131868 2
 
3.9%
131851 2
 
3.9%
Other values (22) 23
45.1%
2024-05-11T04:34:01.263913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 114
36.9%
3 62
20.1%
8 61
19.7%
0 18
 
5.8%
6 12
 
3.9%
5 12
 
3.9%
9 8
 
2.6%
7 8
 
2.6%
2 8
 
2.6%
- 3
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 306
99.0%
Dash Punctuation 3
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 114
37.3%
3 62
20.3%
8 61
19.9%
0 18
 
5.9%
6 12
 
3.9%
5 12
 
3.9%
9 8
 
2.6%
7 8
 
2.6%
2 8
 
2.6%
4 3
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 309
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 114
36.9%
3 62
20.1%
8 61
19.7%
0 18
 
5.8%
6 12
 
3.9%
5 12
 
3.9%
9 8
 
2.6%
7 8
 
2.6%
2 8
 
2.6%
- 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 309
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 114
36.9%
3 62
20.1%
8 61
19.7%
0 18
 
5.8%
6 12
 
3.9%
5 12
 
3.9%
9 8
 
2.6%
7 8
 
2.6%
2 8
 
2.6%
- 3
 
1.0%

지번주소
Text

MISSING 

Distinct82
Distinct (%)90.1%
Missing5
Missing (%)5.2%
Memory size900.0 B
2024-05-11T04:34:02.243856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length24.549451
Min length17

Characters and Unicode

Total characters2234
Distinct characters79
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

Unique76 ?
Unique (%)83.5%

Sample

1st row서울특별시 중랑구 상봉2동 102번지 109호
2nd row서울특별시 중랑구 묵2동 239번지 130호
3rd row서울특별시 중랑구 망우3동 518번지 40호
4th row서울특별시 중랑구 묵동 237번지 47호 3층
5th row서울특별시 중랑구 상봉2동 119번지
ValueCountFrequency (%)
서울특별시 91
18.7%
중랑구 90
18.5%
2층 19
 
3.9%
면목동 16
 
3.3%
3층 12
 
2.5%
묵동 12
 
2.5%
상봉2동 10
 
2.1%
신내동 8
 
1.6%
망우본동 6
 
1.2%
1호 5
 
1.0%
Other values (139) 217
44.7%
2024-05-11T04:34:03.929973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
17.8%
2 109
 
4.9%
중 102
 
4.6%
동 95
 
4.3%
시 92
 
4.1%
구 91
 
4.1%
울 91
 
4.1%
서 91
 
4.1%
별 91
 
4.1%
특 91
 
4.1%
Other values (69) 984
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1304
58.4%
Decimal Number 509
 
22.8%
Space Separator 397
 
17.8%
Dash Punctuation 19
 
0.9%
Other Punctuation 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 102
 
7.8%
동 95
 
7.3%
시 92
 
7.1%
구 91
 
7.0%
울 91
 
7.0%
서 91
 
7.0%
별 91
 
7.0%
특 91
 
7.0%
랑 90
 
6.9%
호 74
 
5.7%
Other values (54) 396
30.4%
Decimal Number
ValueCountFrequency (%)
2 109
21.4%
1 85
16.7%
3 79
15.5%
4 55
10.8%
6 38
 
7.5%
0 36
 
7.1%
7 35
 
6.9%
8 28
 
5.5%
5 27
 
5.3%
9 17
 
3.3%
Space Separator
ValueCountFrequency (%)
397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
58.4%
Common 930
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 102
 
7.8%
동 95
 
7.3%
시 92
 
7.1%
구 91
 
7.0%
울 91
 
7.0%
서 91
 
7.0%
별 91
 
7.0%
특 91
 
7.0%
랑 90
 
6.9%
호 74
 
5.7%
Other values (54) 396
30.4%
Common
ValueCountFrequency (%)
397
42.7%
2 109
 
11.7%
1 85
 
9.1%
3 79
 
8.5%
4 55
 
5.9%
6 38
 
4.1%
0 36
 
3.9%
7 35
 
3.8%
8 28
 
3.0%
5 27
 
2.9%
Other values (5) 41
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1304
58.4%
ASCII 930
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
397
42.7%
2 109
 
11.7%
1 85
 
9.1%
3 79
 
8.5%
4 55
 
5.9%
6 38
 
4.1%
0 36
 
3.9%
7 35
 
3.8%
8 28
 
3.0%
5 27
 
2.9%
Other values (5) 41
 
4.4%
Hangul
ValueCountFrequency (%)
중 102
 
7.8%
동 95
 
7.3%
시 92
 
7.1%
구 91
 
7.0%
울 91
 
7.0%
서 91
 
7.0%
별 91
 
7.0%
특 91
 
7.0%
랑 90
 
6.9%
호 74
 
5.7%
Other values (54) 396
30.4%

도로명주소
Text

MISSING 

Distinct79
Distinct (%)92.9%
Missing11
Missing (%)11.5%
Memory size900.0 B
2024-05-11T04:34:04.891574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39
Mean length29.129412
Min length22

Characters and Unicode

Total characters2476
Distinct characters96
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

Unique73 ?
Unique (%)85.9%

Sample

1st row서울특별시 중랑구 면목로96길 28 (상봉동)
2nd row서울특별시 중랑구 중랑역로 198 (묵동)
3rd row서울특별시 중랑구 봉우재로 204 (망우동)
4th row서울특별시 중랑구 중랑역로 209, 3층 (묵동)
5th row서울특별시 중랑구 동일로118길 44 (상봉동)
ValueCountFrequency (%)
서울특별시 85
16.7%
중랑구 84
16.5%
3층 25
 
4.9%
면목동 23
 
4.5%
묵동 19
 
3.7%
중랑역로 19
 
3.7%
2층 18
 
3.5%
상봉동 14
 
2.7%
중화동 11
 
2.2%
신내동 9
 
1.8%
Other values (131) 203
39.8%
2024-05-11T04:34:06.382066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
425
 
17.2%
중 116
 
4.7%
동 108
 
4.4%
랑 104
 
4.2%
시 86
 
3.5%
서 85
 
3.4%
( 85
 
3.4%
특 85
 
3.4%
별 85
 
3.4%
구 85
 
3.4%
Other values (86) 1212
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1404
56.7%
Space Separator 425
 
17.2%
Decimal Number 393
 
15.9%
Open Punctuation 85
 
3.4%
Close Punctuation 85
 
3.4%
Other Punctuation 67
 
2.7%
Dash Punctuation 13
 
0.5%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 116
 
8.3%
동 108
 
7.7%
랑 104
 
7.4%
시 86
 
6.1%
서 85
 
6.1%
특 85
 
6.1%
별 85
 
6.1%
구 85
 
6.1%
울 85
 
6.1%
로 85
 
6.1%
Other values (69) 480
34.2%
Decimal Number
ValueCountFrequency (%)
1 77
19.6%
3 69
17.6%
2 62
15.8%
5 36
9.2%
0 33
8.4%
4 32
8.1%
6 26
 
6.6%
8 21
 
5.3%
7 21
 
5.3%
9 16
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
425
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1404
56.7%
Common 1068
43.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 116
 
8.3%
동 108
 
7.7%
랑 104
 
7.4%
시 86
 
6.1%
서 85
 
6.1%
특 85
 
6.1%
별 85
 
6.1%
구 85
 
6.1%
울 85
 
6.1%
로 85
 
6.1%
Other values (69) 480
34.2%
Common
ValueCountFrequency (%)
425
39.8%
( 85
 
8.0%
) 85
 
8.0%
1 77
 
7.2%
3 69
 
6.5%
, 67
 
6.3%
2 62
 
5.8%
5 36
 
3.4%
0 33
 
3.1%
4 32
 
3.0%
Other values (5) 97
 
9.1%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1404
56.7%
ASCII 1072
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
425
39.6%
( 85
 
7.9%
) 85
 
7.9%
1 77
 
7.2%
3 69
 
6.4%
, 67
 
6.2%
2 62
 
5.8%
5 36
 
3.4%
0 33
 
3.1%
4 32
 
3.0%
Other values (7) 101
 
9.4%
Hangul
ValueCountFrequency (%)
중 116
 
8.3%
동 108
 
7.7%
랑 104
 
7.4%
시 86
 
6.1%
서 85
 
6.1%
특 85
 
6.1%
별 85
 
6.1%
구 85
 
6.1%
울 85
 
6.1%
로 85
 
6.1%
Other values (69) 480
34.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)62.4%
Missing11
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean21926.659
Minimum1355
Maximum131881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-11T04:34:07.126400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1355
5-th percentile2003
Q12031
median2140
Q32235
95-th percentile131860
Maximum131881
Range130526
Interquartile range (IQR)204

Descriptive statistics

Standard deviation46943.475
Coefficient of variation (CV)2.1409315
Kurtosis1.8986838
Mean21926.659
Median Absolute Deviation (MAD)97
Skewness1.9632838
Sum1863766
Variance2.2036898 × 109
MonotonicityNot monotonic
2024-05-11T04:34:07.746355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2010 6
 
6.2%
2055 5
 
5.2%
2244 4
 
4.2%
2215 3
 
3.1%
2140 3
 
3.1%
2152 2
 
2.1%
2147 2
 
2.1%
2237 2
 
2.1%
2002 2
 
2.1%
2006 2
 
2.1%
Other values (43) 54
56.2%
(Missing) 11
 
11.5%
ValueCountFrequency (%)
1355 1
 
1.0%
2001 1
 
1.0%
2002 2
 
2.1%
2003 2
 
2.1%
2004 2
 
2.1%
2006 2
 
2.1%
2007 1
 
1.0%
2010 6
6.2%
2011 1
 
1.0%
2015 2
 
2.1%
ValueCountFrequency (%)
131881 1
1.0%
131877 1
1.0%
131876 1
1.0%
131875 1
1.0%
131860 2
2.1%
131834 1
1.0%
131818 1
1.0%
131813 1
1.0%
131807 1
1.0%
131800 1
1.0%

사업장명
Text

Distinct94
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-05-11T04:34:08.270311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length14
Mean length8.0520833
Min length4

Characters and Unicode

Total characters773
Distinct characters162
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

Unique92 ?
Unique (%)95.8%

Sample

1st row한일치과기공소
2nd row대광치과기공소
3rd row대성치과기공소
4th row성지치과기공소
5th row신영치과기공소
ValueCountFrequency (%)
치과기공소 5
 
4.5%
주 2
 
1.8%
훈랩 2
 
1.8%
본치과기공소 2
 
1.8%
대광치과기공소 1
 
0.9%
하이퀄리티 1
 
0.9%
예다움치과기공소 1
 
0.9%
한일치과기공소 1
 
0.9%
와이지(y.g)치과기공소 1
 
0.9%
심치과기공소 1
 
0.9%
Other values (93) 93
84.5%
2024-05-11T04:34:09.554038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 94
 
12.2%
소 93
 
12.0%
과 92
 
11.9%
공 92
 
11.9%
기 91
 
11.8%
14
 
1.8%
이 11
 
1.4%
라 8
 
1.0%
한 6
 
0.8%
덴 6
 
0.8%
Other values (152) 266
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
89.1%
Uppercase Letter 36
 
4.7%
Lowercase Letter 21
 
2.7%
Space Separator 14
 
1.8%
Open Punctuation 5
 
0.6%
Close Punctuation 5
 
0.6%
Other Punctuation 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 94
13.6%
소 93
13.5%
과 92
13.4%
공 92
13.4%
기 91
13.2%
이 11
 
1.6%
라 8
 
1.2%
한 6
 
0.9%
덴 6
 
0.9%
임 6
 
0.9%
Other values (115) 190
27.6%
Uppercase Letter
ValueCountFrequency (%)
G 4
 
11.1%
N 3
 
8.3%
E 3
 
8.3%
D 3
 
8.3%
H 2
 
5.6%
I 2
 
5.6%
S 2
 
5.6%
M 2
 
5.6%
O 2
 
5.6%
J 2
 
5.6%
Other values (11) 11
30.6%
Lowercase Letter
ValueCountFrequency (%)
i 3
14.3%
m 3
14.3%
e 3
14.3%
l 3
14.3%
g 2
9.5%
a 2
9.5%
n 2
9.5%
t 1
 
4.8%
r 1
 
4.8%
c 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
89.1%
Latin 57
 
7.4%
Common 27
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 94
13.6%
소 93
13.5%
과 92
13.4%
공 92
13.4%
기 91
13.2%
이 11
 
1.6%
라 8
 
1.2%
한 6
 
0.9%
덴 6
 
0.9%
임 6
 
0.9%
Other values (115) 190
27.6%
Latin
ValueCountFrequency (%)
G 4
 
7.0%
i 3
 
5.3%
m 3
 
5.3%
N 3
 
5.3%
e 3
 
5.3%
l 3
 
5.3%
E 3
 
5.3%
D 3
 
5.3%
H 2
 
3.5%
I 2
 
3.5%
Other values (21) 28
49.1%
Common
ValueCountFrequency (%)
14
51.9%
( 5
 
18.5%
) 5
 
18.5%
. 1
 
3.7%
- 1
 
3.7%
& 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
89.1%
ASCII 84
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 94
13.6%
소 93
13.5%
과 92
13.4%
공 92
13.4%
기 91
13.2%
이 11
 
1.6%
라 8
 
1.2%
한 6
 
0.9%
덴 6
 
0.9%
임 6
 
0.9%
Other values (115) 190
27.6%
ASCII
ValueCountFrequency (%)
14
 
16.7%
( 5
 
6.0%
) 5
 
6.0%
G 4
 
4.8%
i 3
 
3.6%
m 3
 
3.6%
N 3
 
3.6%
e 3
 
3.6%
l 3
 
3.6%
E 3
 
3.6%
Other values (27) 38
45.2%

최종수정일자
Date

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2009-04-08 17:41:59
Maximum2024-02-13 17:06:21
2024-05-11T04:34:10.112211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:34:10.655880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
I
59 
U
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 59
61.5%
U 37
38.5%

Length

2024-05-11T04:34:11.239331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:11.564921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 59
61.5%
u 37
38.5%

데이터갱신일자
Date

Distinct44
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:05:00
2024-05-11T04:34:11.926733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:34:12.440021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)82.1%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean207392.71
Minimum202974.45
Maximum209085.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-11T04:34:13.032038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202974.45
5-th percentile206584.91
Q1206774.78
median207246.53
Q3207990.07
95-th percentile208890.36
Maximum209085.93
Range6111.4796
Interquartile range (IQR)1215.2963

Descriptive statistics

Standard deviation881.14578
Coefficient of variation (CV)0.0042486826
Kurtosis5.5278667
Mean207392.71
Median Absolute Deviation (MAD)499.87924
Skewness-0.79839598
Sum19702307
Variance776417.89
MonotonicityNot monotonic
2024-05-11T04:34:13.688294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209085.926142332 5
 
5.2%
207153.734556645 3
 
3.1%
206782.333472119 3
 
3.1%
207035.69930153 3
 
3.1%
207407.750070589 2
 
2.1%
206705.663827104 2
 
2.1%
208098.530735898 2
 
2.1%
208139.343379032 2
 
2.1%
207182.966980519 2
 
2.1%
207501.970821972 2
 
2.1%
Other values (68) 69
71.9%
ValueCountFrequency (%)
202974.446586497 1
1.0%
206459.711379355 1
1.0%
206537.987563183 1
1.0%
206559.740723397 1
1.0%
206564.683611607 1
1.0%
206593.574165945 1
1.0%
206593.645520226 1
1.0%
206595.645131786 1
1.0%
206600.172028619 1
1.0%
206601.897656099 1
1.0%
ValueCountFrequency (%)
209085.926142332 5
5.2%
208806.552704249 1
 
1.0%
208766.66188129 1
 
1.0%
208766.199402181 1
 
1.0%
208585.651427424 1
 
1.0%
208560.759625644 2
 
2.1%
208555.783179747 1
 
1.0%
208520.092335397 1
 
1.0%
208490.902419723 1
 
1.0%
208432.775317406 1
 
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)82.1%
Missing1
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean455102.69
Minimum452556.1
Maximum462684.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-11T04:34:14.363679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452556.1
5-th percentile452592.18
Q1453893.57
median455111.69
Q3456157.41
95-th percentile457283.22
Maximum462684.79
Range10128.697
Interquartile range (IQR)2263.8432

Descriptive statistics

Standard deviation1587.7135
Coefficient of variation (CV)0.0034886928
Kurtosis4.0888602
Mean455102.69
Median Absolute Deviation (MAD)1073.2421
Skewness0.98286314
Sum43234755
Variance2520834.1
MonotonicityNot monotonic
2024-05-11T04:34:14.894603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457283.215342184 5
 
5.2%
453845.940787298 3
 
3.1%
455424.497462563 3
 
3.1%
453892.258006839 3
 
3.1%
452564.21384759 2
 
2.1%
456178.945959419 2
 
2.1%
453492.764156664 2
 
2.1%
454666.761733006 2
 
2.1%
453894.884010839 2
 
2.1%
452999.049427551 2
 
2.1%
Other values (68) 69
71.9%
ValueCountFrequency (%)
452556.0967612 1
1.0%
452564.21384759 2
2.1%
452571.785444817 1
1.0%
452572.089028146 1
1.0%
452600.791239625 1
1.0%
452632.241797824 1
1.0%
452632.258361245 1
1.0%
452984.616165523 1
1.0%
452999.049427551 2
2.1%
453052.004706352 1
1.0%
ValueCountFrequency (%)
462684.79397334 1
 
1.0%
457283.215342184 5
5.2%
457236.317706626 1
 
1.0%
457106.238196389 1
 
1.0%
457023.152883521 1
 
1.0%
457009.141589479 1
 
1.0%
456927.035148432 1
 
1.0%
456917.242032333 1
 
1.0%
456905.873667587 1
 
1.0%
456883.192453445 1
 
1.0%

기공용레스수
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
73 
<NA>
21 
2
 
2

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 73
76.0%
<NA> 21
 
21.9%
2 2
 
2.1%

Length

2024-05-11T04:34:15.312858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:15.748050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
76.0%
na 21
 
21.9%
2 2
 
2.1%

원심주조기수
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
72 
<NA>
21 
2
 
3

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 72
75.0%
<NA> 21
 
21.9%
2 3
 
3.1%

Length

2024-05-11T04:34:16.112917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:16.482816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 72
75.0%
na 21
 
21.9%
2 3
 
3.1%

기공용모터수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)10.7%
Missing21
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean3.7733333
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-11T04:34:16.799728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile6.6
Maximum16
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3799462
Coefficient of variation (CV)0.6307278
Kurtosis14.771984
Mean3.7733333
Median Absolute Deviation (MAD)1
Skewness3.4161483
Sum283
Variance5.6641441
MonotonicityNot monotonic
2024-05-11T04:34:17.129951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 21
21.9%
3 21
21.9%
4 17
17.7%
5 9
9.4%
6 3
 
3.1%
8 2
 
2.1%
16 1
 
1.0%
15 1
 
1.0%
(Missing) 21
21.9%
ValueCountFrequency (%)
2 21
21.9%
3 21
21.9%
4 17
17.7%
5 9
9.4%
6 3
 
3.1%
8 2
 
2.1%
15 1
 
1.0%
16 1
 
1.0%
ValueCountFrequency (%)
16 1
 
1.0%
15 1
 
1.0%
8 2
 
2.1%
6 3
 
3.1%
5 9
9.4%
4 17
17.7%
3 21
21.9%
2 21
21.9%

아세틸렌수
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
69 
<NA>
22 
0
 
5

Length

Max length4
Median length1
Mean length1.6875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
71.9%
<NA> 22
 
22.9%
0 5
 
5.2%

Length

2024-05-11T04:34:17.563962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:17.912532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
71.9%
na 22
 
22.9%
0 5
 
5.2%

치과용프레스수
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
71 
<NA>
21 
2
 
2
3
 
1
4
 
1

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 71
74.0%
<NA> 21
 
21.9%
2 2
 
2.1%
3 1
 
1.0%
4 1
 
1.0%

Length

2024-05-11T04:34:18.401357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:18.867225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 71
74.0%
na 21
 
21.9%
2 2
 
2.1%
3 1
 
1.0%
4 1
 
1.0%

전기로수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
45 
2
26 
<NA>
21 
3
 
4

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
46.9%
2 26
27.1%
<NA> 21
21.9%
3 4
 
4.2%

Length

2024-05-11T04:34:19.271726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:19.631551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
46.9%
2 26
27.1%
na 21
21.9%
3 4
 
4.2%

포셀린로수
Categorical

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
42 
2
23 
<NA>
21 
3
8 
4
 
2

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
43.8%
2 23
24.0%
<NA> 21
21.9%
3 8
 
8.3%
4 2
 
2.1%

Length

2024-05-11T04:34:20.076066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:20.487316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
43.8%
2 23
24.0%
na 21
21.9%
3 8
 
8.3%
4 2
 
2.1%

초음파청소기수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
68 
<NA>
21 
2
 
6
3
 
1

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 68
70.8%
<NA> 21
 
21.9%
2 6
 
6.2%
3 1
 
1.0%

Length

2024-05-11T04:34:21.277614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:21.660891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
70.8%
na 21
 
21.9%
2 6
 
6.2%
3 1
 
1.0%

서베이어수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
63 
<NA>
21 
2
9 
3
 
3

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 63
65.6%
<NA> 21
 
21.9%
2 9
 
9.4%
3 3
 
3.1%

Length

2024-05-11T04:34:22.069885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:22.533017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 63
65.6%
na 21
 
21.9%
2 9
 
9.4%
3 3
 
3.1%

진동기수
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
70 
<NA>
21 
2
 
5

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
72.9%
<NA> 21
 
21.9%
2 5
 
5.2%

Length

2024-05-11T04:34:23.128881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:23.619159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
72.9%
na 21
 
21.9%
2 5
 
5.2%

트리머수
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
70 
<NA>
21 
2
 
5

Length

Max length4
Median length1
Mean length1.65625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 70
72.9%
<NA> 21
 
21.9%
2 5
 
5.2%

Length

2024-05-11T04:34:24.177302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:24.643494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
72.9%
na 21
 
21.9%
2 5
 
5.2%

기공용컴프레서수
Categorical

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
56 
<NA>
32 
2
6 
3
 
1
4
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 56
58.3%
<NA> 32
33.3%
2 6
 
6.2%
3 1
 
1.0%
4 1
 
1.0%

Length

2024-05-11T04:34:25.229330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:25.579236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
58.3%
na 32
33.3%
2 6
 
6.2%
3 1
 
1.0%
4 1
 
1.0%

샌드기수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
42 
<NA>
32 
2
18 
3
 
4

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 42
43.8%
<NA> 32
33.3%
2 18
18.8%
3 4
 
4.2%

Length

2024-05-11T04:34:26.230211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:26.627845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
43.8%
na 32
33.3%
2 18
18.8%
3 4
 
4.2%

진공매몰기수
Categorical

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
61 
<NA>
32 
2
 
3

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 61
63.5%
<NA> 32
33.3%
2 3
 
3.1%

Length

2024-05-11T04:34:27.144104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:27.612383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 61
63.5%
na 32
33.3%
2 3
 
3.1%

핀덱스수
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
62 
<NA>
32 
2
 
1
0
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 62
64.6%
<NA> 32
33.3%
2 1
 
1.0%
0 1
 
1.0%

Length

2024-05-11T04:34:27.973482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:34:28.306592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 62
64.6%
na 32
33.3%
2 1
 
1.0%
0 1
 
1.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03060000PHMB31991306003406230000119910125<NA>3폐업3폐업20180412<NA><NA><NA>02-437-0585<NA>131859서울특별시 중랑구 상봉2동 102번지 109호서울특별시 중랑구 면목로96길 28 (상봉동)2148한일치과기공소2018-04-12 14:10:08I2018-08-31 23:59:59.0<NA>207640.713787454862.606837112111111111111
13060000PHMB31993306003406230000119931019<NA>3폐업3폐업20210924<NA><NA><NA>02-977-3459<NA>131852서울특별시 중랑구 묵2동 239번지 130호서울특별시 중랑구 중랑역로 198 (묵동)2006대광치과기공소2021-10-22 11:04:03U2021-10-24 02:40:00.0<NA>206649.130082456538.827627115112211111211
23060000PHMB31993306003406230000219931116<NA>3폐업3폐업20220602<NA><NA><NA>437-6782<NA>131807서울특별시 중랑구 망우3동 518번지 40호서울특별시 중랑구 봉우재로 204 (망우동)2174대성치과기공소2022-06-02 15:33:28U2021-12-06 00:04:00.0<NA>208380.76103454686.545948<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33060000PHMB31994306003406230000119941224<NA>1영업/정상13영업중<NA><NA><NA><NA>02-496-0552<NA>131851서울특별시 중랑구 묵동 237번지 47호 3층서울특별시 중랑구 중랑역로 209, 3층 (묵동)2004성지치과기공소2014-06-10 13:48:04I2018-08-31 23:59:59.0<NA>206601.897656456639.284705124113211111211
43060000PHMB31995306003406230000119950525<NA>1영업/정상13영업중<NA><NA><NA><NA>02-495-7638<NA>131860서울특별시 중랑구 상봉2동 119번지서울특별시 중랑구 동일로118길 44 (상봉동)2136신영치과기공소2012-05-18 16:47:44I2018-08-31 23:59:59.0<NA>207246.529653454732.063628116112221111121
53060000PHMB31996306003406230000119960905<NA>3폐업3폐업20170331<NA><NA><NA>02-493-2804<NA>131820서울특별시 중랑구 면목2동 146번지 70호 2층서울특별시 중랑구 겸재로15길 9, 2층 (면목동)2140미더스치과기공소2017-04-03 09:15:20I2018-08-31 23:59:59.0<NA>207035.699302453892.258007114111311111111
63060000PHMB31997306003406230000119970807<NA>3폐업3폐업20150706<NA><NA><NA><NA><NA>131868서울특별시 중랑구 신내동 472번지 1호서울특별시 중랑구 봉화산로56길 87 (신내동)2070한솥치과기공소2016-03-24 09:28:48I2018-08-31 23:59:59.0<NA>208560.759626455826.847497112111111111311
73060000PHMB31997306003406230000219970926<NA>1영업/정상13영업중<NA><NA><NA><NA>02-978-7585<NA>131883서울특별시 중랑구 중화2동 314번지 2호 3층서울특별시 중랑구 중랑역로 57, 3층 (중화동)2104한얼치과기공소2012-05-18 16:36:08I2018-08-31 23:59:59.0<NA>206767.21823455177.476767215112322211111
83060000PHMB31998306003406230000119981224<NA>3폐업3폐업20160714<NA><NA><NA>02-2209-2804<NA>131860서울특별시 중랑구 상봉2동 122번지 32호서울특별시 중랑구 동일로114길 28-1 (상봉동)2139미소치과기공소2016-07-14 17:22:21I2018-08-31 23:59:59.0<NA>207170.013959454567.616266114122211111111
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863060000PHMB32021306003406230000420140924<NA>1영업/정상13영업중<NA><NA><NA><NA>02-492-8635<NA><NA>서울특별시 중랑구 신내동 262-1서울특별시 중랑구 신내역로3길 40-36, 7층 707호 (신내동)2055티엘플랜트 치과기공소2021-07-13 09:55:34I2021-07-15 00:22:52.0<NA>209085.926142457283.2153421115113412124211
873060000PHMB32021306003406230000520211008<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 262-1서울특별시 중랑구 신내역로3길 40-36, B동 1202호 (신내동)2055주 훈랩2022-03-04 14:00:28U2022-03-06 02:40:00.0<NA>209085.926142457283.215342113111111111111
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