Overview

Dataset statistics

Number of variables40
Number of observations70
Missing cells545
Missing cells (%)19.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory348.9 B

Variable types

Categorical21
Text6
DateTime3
Unsupported6
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),기공용레스수,원심주조기수,기공용모터수,아세틸렌수,치과용프레스수,전기로수,포셀린로수,초음파청소기수,서베이어수,진동기수,트리머수,기공용컴프레서수,샌드기수,진공매몰기수,핀덱스수
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-16465/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 70 (100.0%) missing valuesMissing
폐업일자 has 32 (45.7%) missing valuesMissing
휴업시작일자 has 70 (100.0%) missing valuesMissing
휴업종료일자 has 70 (100.0%) missing valuesMissing
재개업일자 has 70 (100.0%) missing valuesMissing
전화번호 has 10 (14.3%) missing valuesMissing
소재지면적 has 70 (100.0%) missing valuesMissing
소재지우편번호 has 45 (64.3%) missing valuesMissing
지번주소 has 5 (7.1%) missing valuesMissing
도로명주소 has 1 (1.4%) missing valuesMissing
도로명우편번호 has 14 (20.0%) missing valuesMissing
업태구분명 has 70 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.4%) missing valuesMissing
좌표정보(Y) has 1 (1.4%) missing valuesMissing
기공용모터수 has 16 (22.9%) 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 started2024-04-29 19:02:04.467517
Analysis finished2024-04-29 19:02:05.178717
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
3110000
70 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 70
100.0%

Length

2024-04-30T04:02:05.250812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:05.335334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 70
100.0%

관리번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-30T04:02:05.488535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1750
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

Unique70 ?
Unique (%)100.0%

Sample

1st rowPHMB319873110032062300001
2nd rowPHMB319913110032062300001
3rd rowPHMB319923110032062300001
4th rowPHMB319953110032062300001
5th rowPHMB319973110032062300001
ValueCountFrequency (%)
phmb319873110032062300001 1
 
1.4%
phmb320133110032062300003 1
 
1.4%
phmb320153110032062300003 1
 
1.4%
phmb320153110032062300002 1
 
1.4%
phmb320143110032062300004 1
 
1.4%
phmb320143110032062300003 1
 
1.4%
phmb320143110032062300002 1
 
1.4%
phmb320173110032062300003 1
 
1.4%
phmb320133110032062300002 1
 
1.4%
phmb320163110032062300001 1
 
1.4%
Other values (60) 60
85.7%
2024-04-30T04:02:05.767142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 581
33.2%
3 299
17.1%
2 232
 
13.3%
1 214
 
12.2%
6 73
 
4.2%
P 70
 
4.0%
H 70
 
4.0%
M 70
 
4.0%
B 70
 
4.0%
9 23
 
1.3%
Other values (4) 48
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1470
84.0%
Uppercase Letter 280
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 581
39.5%
3 299
20.3%
2 232
 
15.8%
1 214
 
14.6%
6 73
 
5.0%
9 23
 
1.6%
4 16
 
1.1%
7 13
 
0.9%
5 10
 
0.7%
8 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
P 70
25.0%
H 70
25.0%
M 70
25.0%
B 70
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
84.0%
Latin 280
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 581
39.5%
3 299
20.3%
2 232
 
15.8%
1 214
 
14.6%
6 73
 
5.0%
9 23
 
1.6%
4 16
 
1.1%
7 13
 
0.9%
5 10
 
0.7%
8 9
 
0.6%
Latin
ValueCountFrequency (%)
P 70
25.0%
H 70
25.0%
M 70
25.0%
B 70
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 581
33.2%
3 299
17.1%
2 232
 
13.3%
1 214
 
12.2%
6 73
 
4.2%
P 70
 
4.0%
H 70
 
4.0%
M 70
 
4.0%
B 70
 
4.0%
9 23
 
1.3%
Other values (4) 48
 
2.7%

인허가일자
Date

Distinct68
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum1982-11-20 00:00:00
Maximum2023-03-17 00:00:00
2024-04-30T04:02:05.891457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:02:06.018891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
36 
1
33 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 36
51.4%
1 33
47.1%
4 1
 
1.4%

Length

2024-04-30T04:02:06.128997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:06.211134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 36
51.4%
1 33
47.1%
4 1
 
1.4%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
36 
영업/정상
33 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.5857143
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 36
51.4%
영업/정상 33
47.1%
취소/말소/만료/정지/중지 1
 
1.4%

Length

2024-04-30T04:02:06.306332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:06.396880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 36
51.4%
영업/정상 33
47.1%
취소/말소/만료/정지/중지 1
 
1.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
3
36 
13
33 
24
 
1

Length

Max length2
Median length1
Mean length1.4857143
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
3 36
51.4%
13 33
47.1%
24 1
 
1.4%

Length

2024-04-30T04:02:06.502541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:06.596702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 36
51.4%
13 33
47.1%
24 1
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
폐업
36 
영업중
33 
직권폐업
 
1

Length

Max length4
Median length2
Mean length2.5
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 36
51.4%
영업중 33
47.1%
직권폐업 1
 
1.4%

Length

2024-04-30T04:02:06.703485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:06.801117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 36
51.4%
영업중 33
47.1%
직권폐업 1
 
1.4%

폐업일자
Date

MISSING 

Distinct38
Distinct (%)100.0%
Missing32
Missing (%)45.7%
Memory size692.0 B
Minimum2009-01-02 00:00:00
Maximum2023-04-10 00:00:00
2024-04-30T04:02:06.901527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:02:07.008011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

전화번호
Text

MISSING 

Distinct58
Distinct (%)96.7%
Missing10
Missing (%)14.3%
Memory size692.0 B
2024-04-30T04:02:07.216662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.966667
Min length8

Characters and Unicode

Total characters658
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

Unique56 ?
Unique (%)93.3%

Sample

1st row02-353-0028
2nd row02-357-4416
3rd row02-305-1246
4th row02-372-0121
5th row02-357-4413
ValueCountFrequency (%)
02-352-7195 2
 
3.3%
02-384-4282 2
 
3.3%
02-6012-2804 1
 
1.7%
070-4224-9792 1
 
1.7%
02-353-0028 1
 
1.7%
02-307-6914 1
 
1.7%
02-6348-2828 1
 
1.7%
02-548-0428 1
 
1.7%
2661-2804 1
 
1.7%
2635-2828 1
 
1.7%
Other values (48) 48
80.0%
2024-04-30T04:02:07.537697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 130
19.8%
- 114
17.3%
0 99
15.0%
3 67
10.2%
8 66
10.0%
5 47
 
7.1%
4 46
 
7.0%
7 32
 
4.9%
6 26
 
4.0%
1 19
 
2.9%
Other values (2) 12
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 543
82.5%
Dash Punctuation 114
 
17.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 130
23.9%
0 99
18.2%
3 67
12.3%
8 66
12.2%
5 47
 
8.7%
4 46
 
8.5%
7 32
 
5.9%
6 26
 
4.8%
1 19
 
3.5%
9 11
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 658
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 130
19.8%
- 114
17.3%
0 99
15.0%
3 67
10.2%
8 66
10.0%
5 47
 
7.1%
4 46
 
7.0%
7 32
 
4.9%
6 26
 
4.0%
1 19
 
2.9%
Other values (2) 12
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 658
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 130
19.8%
- 114
17.3%
0 99
15.0%
3 67
10.2%
8 66
10.0%
5 47
 
7.1%
4 46
 
7.0%
7 32
 
4.9%
6 26
 
4.0%
1 19
 
2.9%
Other values (2) 12
 
1.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

소재지우편번호
Text

MISSING 

Distinct20
Distinct (%)80.0%
Missing45
Missing (%)64.3%
Memory size692.0 B
2024-04-30T04:02:07.700208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.04
Min length6

Characters and Unicode

Total characters151
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

Unique16 ?
Unique (%)64.0%

Sample

1st row122917
2nd row122842
3rd row122833
4th row122832
5th row122899
ValueCountFrequency (%)
122833 3
 
12.0%
122895 2
 
8.0%
122875 2
 
8.0%
122842 2
 
8.0%
122852 1
 
4.0%
122012 1
 
4.0%
122923 1
 
4.0%
122844 1
 
4.0%
122896 1
 
4.0%
122941 1
 
4.0%
Other values (10) 10
40.0%
2024-04-30T04:02:07.941033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 61
40.4%
1 28
18.5%
8 20
 
13.2%
3 11
 
7.3%
9 10
 
6.6%
4 6
 
4.0%
5 6
 
4.0%
7 4
 
2.6%
0 3
 
2.0%
- 1
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
99.3%
Dash Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 61
40.7%
1 28
18.7%
8 20
 
13.3%
3 11
 
7.3%
9 10
 
6.7%
4 6
 
4.0%
5 6
 
4.0%
7 4
 
2.7%
0 3
 
2.0%
6 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 61
40.4%
1 28
18.5%
8 20
 
13.2%
3 11
 
7.3%
9 10
 
6.6%
4 6
 
4.0%
5 6
 
4.0%
7 4
 
2.6%
0 3
 
2.0%
- 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 61
40.4%
1 28
18.5%
8 20
 
13.2%
3 11
 
7.3%
9 10
 
6.6%
4 6
 
4.0%
5 6
 
4.0%
7 4
 
2.6%
0 3
 
2.0%
- 1
 
0.7%

지번주소
Text

MISSING 

Distinct63
Distinct (%)96.9%
Missing5
Missing (%)7.1%
Memory size692.0 B
2024-04-30T04:02:08.173936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length23.984615
Min length19

Characters and Unicode

Total characters1559
Distinct characters54
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)93.8%

Sample

1st row서울특별시 은평구 불광동 481번지 37호 2층
2nd row서울특별시 은평구 불광동 606번지 5호 101호
3rd row서울특별시 은평구 응암동 277번지 16호 2층
4th row서울특별시 은평구 응암동 587번지 39호 2층
5th row서울특별시 은평구 대조동 191번지 40호 3층
ValueCountFrequency (%)
서울특별시 65
18.4%
은평구 65
18.4%
3층 16
 
4.5%
대조동 15
 
4.2%
역촌동 11
 
3.1%
녹번동 9
 
2.5%
2층 9
 
2.5%
응암동 7
 
2.0%
갈현동 6
 
1.7%
불광동 6
 
1.7%
Other values (104) 144
40.8%
2024-04-30T04:02:08.532185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
288
18.5%
1 72
 
4.6%
구 67
 
4.3%
동 66
 
4.2%
은 66
 
4.2%
서 65
 
4.2%
평 65
 
4.2%
울 65
 
4.2%
시 65
 
4.2%
특 65
 
4.2%
Other values (44) 675
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 932
59.8%
Decimal Number 327
 
21.0%
Space Separator 288
 
18.5%
Dash Punctuation 12
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 67
 
7.2%
동 66
 
7.1%
은 66
 
7.1%
서 65
 
7.0%
평 65
 
7.0%
울 65
 
7.0%
시 65
 
7.0%
특 65
 
7.0%
별 65
 
7.0%
번 62
 
6.7%
Other values (32) 281
30.2%
Decimal Number
ValueCountFrequency (%)
1 72
22.0%
3 52
15.9%
2 49
15.0%
4 42
12.8%
0 23
 
7.0%
7 22
 
6.7%
9 19
 
5.8%
6 18
 
5.5%
8 15
 
4.6%
5 15
 
4.6%
Space Separator
ValueCountFrequency (%)
288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 932
59.8%
Common 627
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 67
 
7.2%
동 66
 
7.1%
은 66
 
7.1%
서 65
 
7.0%
평 65
 
7.0%
울 65
 
7.0%
시 65
 
7.0%
특 65
 
7.0%
별 65
 
7.0%
번 62
 
6.7%
Other values (32) 281
30.2%
Common
ValueCountFrequency (%)
288
45.9%
1 72
 
11.5%
3 52
 
8.3%
2 49
 
7.8%
4 42
 
6.7%
0 23
 
3.7%
7 22
 
3.5%
9 19
 
3.0%
6 18
 
2.9%
8 15
 
2.4%
Other values (2) 27
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 932
59.8%
ASCII 627
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
288
45.9%
1 72
 
11.5%
3 52
 
8.3%
2 49
 
7.8%
4 42
 
6.7%
0 23
 
3.7%
7 22
 
3.5%
9 19
 
3.0%
6 18
 
2.9%
8 15
 
2.4%
Other values (2) 27
 
4.3%
Hangul
ValueCountFrequency (%)
구 67
 
7.2%
동 66
 
7.1%
은 66
 
7.1%
서 65
 
7.0%
평 65
 
7.0%
울 65
 
7.0%
시 65
 
7.0%
특 65
 
7.0%
별 65
 
7.0%
번 62
 
6.7%
Other values (32) 281
30.2%

도로명주소
Text

MISSING 

Distinct67
Distinct (%)97.1%
Missing1
Missing (%)1.4%
Memory size692.0 B
2024-04-30T04:02:08.779522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length27.768116
Min length22

Characters and Unicode

Total characters1916
Distinct characters78
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

Unique66 ?
Unique (%)95.7%

Sample

1st row서울특별시 은평구 통일로 920, 2층 (불광동)
2nd row서울특별시 은평구 진흥로15길 12-7, 101호 (불광동)
3rd row서울특별시 은평구 불광천길 366, 2층 (응암동)
4th row서울특별시 은평구 역말로9길 40-1 (대조동,3층)
5th row서울특별시 은평구 불광로 10 (대조동, 창도빌딩)
ValueCountFrequency (%)
서울특별시 69
 
17.3%
은평구 69
 
17.3%
2층 14
 
3.5%
대조동 14
 
3.5%
3층 13
 
3.3%
역촌동 12
 
3.0%
녹번동 8
 
2.0%
진흥로 7
 
1.8%
통일로 7
 
1.8%
갈현동 7
 
1.8%
Other values (121) 179
44.9%
2024-04-30T04:02:09.143477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
330
 
17.2%
서 82
 
4.3%
은 77
 
4.0%
평 76
 
4.0%
구 71
 
3.7%
동 70
 
3.7%
) 69
 
3.6%
( 69
 
3.6%
울 69
 
3.6%
별 69
 
3.6%
Other values (68) 934
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1087
56.7%
Space Separator 330
 
17.2%
Decimal Number 291
 
15.2%
Close Punctuation 69
 
3.6%
Open Punctuation 69
 
3.6%
Other Punctuation 55
 
2.9%
Dash Punctuation 15
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 82
 
7.5%
은 77
 
7.1%
평 76
 
7.0%
구 71
 
6.5%
동 70
 
6.4%
울 69
 
6.3%
별 69
 
6.3%
시 69
 
6.3%
특 69
 
6.3%
로 68
 
6.3%
Other values (53) 367
33.8%
Decimal Number
ValueCountFrequency (%)
3 56
19.2%
2 56
19.2%
1 51
17.5%
0 27
9.3%
6 23
7.9%
7 21
 
7.2%
9 17
 
5.8%
4 14
 
4.8%
8 13
 
4.5%
5 13
 
4.5%
Space Separator
ValueCountFrequency (%)
330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Other Punctuation
ValueCountFrequency (%)
, 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1087
56.7%
Common 829
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 82
 
7.5%
은 77
 
7.1%
평 76
 
7.0%
구 71
 
6.5%
동 70
 
6.4%
울 69
 
6.3%
별 69
 
6.3%
시 69
 
6.3%
특 69
 
6.3%
로 68
 
6.3%
Other values (53) 367
33.8%
Common
ValueCountFrequency (%)
330
39.8%
) 69
 
8.3%
( 69
 
8.3%
3 56
 
6.8%
2 56
 
6.8%
, 55
 
6.6%
1 51
 
6.2%
0 27
 
3.3%
6 23
 
2.8%
7 21
 
2.5%
Other values (5) 72
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1087
56.7%
ASCII 829
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
330
39.8%
) 69
 
8.3%
( 69
 
8.3%
3 56
 
6.8%
2 56
 
6.8%
, 55
 
6.6%
1 51
 
6.2%
0 27
 
3.3%
6 23
 
2.8%
7 21
 
2.5%
Other values (5) 72
 
8.7%
Hangul
ValueCountFrequency (%)
서 82
 
7.5%
은 77
 
7.1%
평 76
 
7.0%
구 71
 
6.5%
동 70
 
6.4%
울 69
 
6.3%
별 69
 
6.3%
시 69
 
6.3%
특 69
 
6.3%
로 68
 
6.3%
Other values (53) 367
33.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)75.0%
Missing14
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean16178.196
Minimum3315
Maximum122896
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:02:09.265846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3315
5-th percentile3328
Q13375
median3396
Q33433
95-th percentile122850.25
Maximum122896
Range119581
Interquartile range (IQR)58

Descriptive statistics

Standard deviation37243.502
Coefficient of variation (CV)2.30208
Kurtosis4.993719
Mean16178.196
Median Absolute Deviation (MAD)26
Skewness2.6108337
Sum905979
Variance1.3870784 × 109
MonotonicityNot monotonic
2024-04-30T04:02:09.378687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3385 4
 
5.7%
3328 4
 
5.7%
3408 4
 
5.7%
3397 3
 
4.3%
3375 2
 
2.9%
3400 2
 
2.9%
3378 2
 
2.9%
3393 1
 
1.4%
122895 1
 
1.4%
3449 1
 
1.4%
Other values (32) 32
45.7%
(Missing) 14
20.0%
ValueCountFrequency (%)
3315 1
 
1.4%
3328 4
5.7%
3329 1
 
1.4%
3330 1
 
1.4%
3337 1
 
1.4%
3340 1
 
1.4%
3342 1
 
1.4%
3344 1
 
1.4%
3368 1
 
1.4%
3370 1
 
1.4%
ValueCountFrequency (%)
122896 1
1.4%
122895 1
1.4%
122875 1
1.4%
122842 1
1.4%
122837 1
1.4%
122012 1
1.4%
3506 1
1.4%
3499 1
1.4%
3484 1
1.4%
3466 1
1.4%

사업장명
Text

Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-04-30T04:02:09.571909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length8.3285714
Min length5

Characters and Unicode

Total characters583
Distinct characters138
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)92.9%

Sample

1st row은평치과기공소
2nd row엄지치과기공소
3rd row명지치과기공소
4th row디엘치과기공소
5th row불광치과기공소
ValueCountFrequency (%)
치과기공소 5
 
6.6%
케이앤디치과기공소 3
 
3.9%
하나치과기공소 2
 
2.6%
에즈글로벌치과기공소 1
 
1.3%
하이포인트치과기공소 1
 
1.3%
낭만기공소 1
 
1.3%
은평치과기공소 1
 
1.3%
위드치과기공소 1
 
1.3%
아이디치과기공소 1
 
1.3%
디아이치과기공소 1
 
1.3%
Other values (59) 59
77.6%
2024-04-30T04:02:09.892336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 70
 
12.0%
치 68
 
11.7%
기 68
 
11.7%
공 68
 
11.7%
과 67
 
11.5%
이 19
 
3.3%
아 8
 
1.4%
디 8
 
1.4%
6
 
1.0%
스 6
 
1.0%
Other values (128) 195
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
92.1%
Uppercase Letter 15
 
2.6%
Lowercase Letter 13
 
2.2%
Space Separator 6
 
1.0%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 70
13.0%
치 68
12.7%
기 68
12.7%
공 68
12.7%
과 67
12.5%
이 19
 
3.5%
아 8
 
1.5%
디 8
 
1.5%
스 6
 
1.1%
에 5
 
0.9%
Other values (103) 150
27.9%
Uppercase Letter
ValueCountFrequency (%)
K 2
13.3%
Y 2
13.3%
P 2
13.3%
C 2
13.3%
H 2
13.3%
M 1
6.7%
B 1
6.7%
J 1
6.7%
F 1
6.7%
D 1
6.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
15.4%
e 2
15.4%
w 2
15.4%
o 1
7.7%
r 1
7.7%
a 1
7.7%
y 1
7.7%
t 1
7.7%
l 1
7.7%
d 1
7.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
92.1%
Latin 28
 
4.8%
Common 18
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 70
13.0%
치 68
12.7%
기 68
12.7%
공 68
12.7%
과 67
12.5%
이 19
 
3.5%
아 8
 
1.5%
디 8
 
1.5%
스 6
 
1.1%
에 5
 
0.9%
Other values (103) 150
27.9%
Latin
ValueCountFrequency (%)
K 2
 
7.1%
i 2
 
7.1%
e 2
 
7.1%
w 2
 
7.1%
Y 2
 
7.1%
P 2
 
7.1%
C 2
 
7.1%
H 2
 
7.1%
o 1
 
3.6%
r 1
 
3.6%
Other values (10) 10
35.7%
Common
ValueCountFrequency (%)
6
33.3%
) 5
27.8%
( 5
27.8%
. 1
 
5.6%
& 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
92.1%
ASCII 46
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 70
13.0%
치 68
12.7%
기 68
12.7%
공 68
12.7%
과 67
12.5%
이 19
 
3.5%
아 8
 
1.5%
디 8
 
1.5%
스 6
 
1.1%
에 5
 
0.9%
Other values (103) 150
27.9%
ASCII
ValueCountFrequency (%)
6
 
13.0%
) 5
 
10.9%
( 5
 
10.9%
K 2
 
4.3%
i 2
 
4.3%
e 2
 
4.3%
w 2
 
4.3%
Y 2
 
4.3%
P 2
 
4.3%
C 2
 
4.3%
Other values (15) 16
34.8%

최종수정일자
Date

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2009-01-02 10:33:20
Maximum2023-06-14 16:01:53
2024-04-30T04:02:10.013063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:02:10.119403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
I
39 
U
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
55.7%
U 31
44.3%

Length

2024-04-30T04:02:10.220605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:10.299398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
55.7%
u 31
44.3%

데이터갱신일자
Categorical

Distinct29
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2018-08-31 23:59:59.0
35 
2022-12-06 00:03:00.0
5 
2022-12-05 23:05:00.0
 
3
2019-07-04 02:40:00.0
 
2
2019-09-03 02:40:00.0
 
1
Other values (24)
24 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique25 ?
Unique (%)35.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2019-05-12 02:40:00.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 35
50.0%
2022-12-06 00:03:00.0 5
 
7.1%
2022-12-05 23:05:00.0 3
 
4.3%
2019-07-04 02:40:00.0 2
 
2.9%
2019-09-03 02:40:00.0 1
 
1.4%
2021-12-08 22:09:00.0 1
 
1.4%
2022-01-05 02:40:00.0 1
 
1.4%
2020-02-07 02:40:00.0 1
 
1.4%
2021-08-02 02:40:00.0 1
 
1.4%
2022-12-05 23:06:00.0 1
 
1.4%
Other values (19) 19
27.1%

Length

2024-04-30T04:02:10.382539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 35
25.0%
23:59:59.0 35
25.0%
02:40:00.0 18
12.9%
2022-12-06 5
 
3.6%
00:03:00.0 5
 
3.6%
2022-12-05 4
 
2.9%
23:05:00.0 3
 
2.1%
00:02:00.0 2
 
1.4%
2019-07-04 2
 
1.4%
22:03:00.0 2
 
1.4%
Other values (29) 29
20.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing70
Missing (%)100.0%
Memory size762.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)87.0%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean192811.18
Minimum190028.98
Maximum194056.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:02:10.496783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190028.98
5-th percentile191417.13
Q1192640.61
median192844.86
Q3193207.75
95-th percentile193908.12
Maximum194056.01
Range4027.0304
Interquartile range (IQR)567.14152

Descriptive statistics

Standard deviation761.79138
Coefficient of variation (CV)0.0039509709
Kurtosis4.0079165
Mean192811.18
Median Absolute Deviation (MAD)307.76464
Skewness-1.5040032
Sum13303972
Variance580326.11
MonotonicityNot monotonic
2024-04-30T04:02:10.830271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192765.946311695 3
 
4.3%
192844.864792918 3
 
4.3%
191184.757198754 2
 
2.9%
193246.24332305 2
 
2.9%
190028.982761489 2
 
2.9%
193086.991805587 2
 
2.9%
193937.765352288 2
 
2.9%
192619.839419834 1
 
1.4%
193015.360520463 1
 
1.4%
192738.984468352 1
 
1.4%
Other values (50) 50
71.4%
ValueCountFrequency (%)
190028.982761489 2
2.9%
191184.757198754 2
2.9%
191765.688387561 1
1.4%
191806.648829489 1
1.4%
191895.068155581 1
1.4%
191964.672329596 1
1.4%
192164.787576508 1
1.4%
192227.527915359 1
1.4%
192343.072616083 1
1.4%
192366.878572089 1
1.4%
ValueCountFrequency (%)
194056.013210023 1
1.4%
193952.621040433 1
1.4%
193937.765352288 2
2.9%
193863.651063943 1
1.4%
193717.47 1
1.4%
193714.144278763 1
1.4%
193687.83561561 1
1.4%
193598.348172363 1
1.4%
193571.313403468 1
1.4%
193552.57336353 1
1.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)87.0%
Missing1
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean456088.93
Minimum452992.14
Maximum458207.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:02:10.957407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452992.14
5-th percentile453677.93
Q1455445.66
median456178
Q3456997.84
95-th percentile458077.94
Maximum458207.92
Range5215.7775
Interquartile range (IQR)1552.1748

Descriptive statistics

Standard deviation1310.3566
Coefficient of variation (CV)0.0028730286
Kurtosis-0.23974948
Mean456088.93
Median Absolute Deviation (MAD)784.67741
Skewness-0.44978198
Sum31470136
Variance1717034.3
MonotonicityNot monotonic
2024-04-30T04:02:11.098791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455463.707900474 3
 
4.3%
456179.759313082 3
 
4.3%
452992.137815337 2
 
2.9%
456114.900249512 2
 
2.9%
453844.108723968 2
 
2.9%
456929.888599927 2
 
2.9%
456133.6919489 2
 
2.9%
457945.538981549 1
 
1.4%
456107.856530628 1
 
1.4%
456997.83587307 1
 
1.4%
Other values (50) 50
71.4%
ValueCountFrequency (%)
452992.137815337 2
2.9%
453494.278512195 1
1.4%
453567.143943658 1
1.4%
453844.108723968 2
2.9%
454081.301824617 1
1.4%
454225.664451718 1
1.4%
454310.011090709 1
1.4%
454346.547733643 1
1.4%
454607.060347867 1
1.4%
454673.267344004 1
1.4%
ValueCountFrequency (%)
458207.915329375 1
1.4%
458130.535594513 1
1.4%
458124.465018734 1
1.4%
458081.514801677 1
1.4%
458072.57505791 1
1.4%
457945.538981549 1
1.4%
457921.381332144 1
1.4%
457886.551833964 1
1.4%
457807.179494635 1
1.4%
457653.474889533 1
1.4%

기공용레스수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
51 
<NA>
16 
2
 
3

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 51
72.9%
<NA> 16
 
22.9%
2 3
 
4.3%

Length

2024-04-30T04:02:11.223209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:11.322353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
72.9%
na 16
 
22.9%
2 3
 
4.3%

원심주조기수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
50 
<NA>
16 
2
 
4

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
71.4%
<NA> 16
 
22.9%
2 4
 
5.7%

Length

2024-04-30T04:02:11.434988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:11.518743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
71.4%
na 16
 
22.9%
2 4
 
5.7%

기공용모터수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)13.0%
Missing16
Missing (%)22.9%
Infinite0
Infinite (%)0.0%
Mean2.9814815
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2024-04-30T04:02:11.595251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile5.35
Maximum10
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4856641
Coefficient of variation (CV)0.49829727
Kurtosis9.1821616
Mean2.9814815
Median Absolute Deviation (MAD)1
Skewness2.6499985
Sum161
Variance2.2071978
MonotonicityNot monotonic
2024-04-30T04:02:11.684919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 26
37.1%
3 17
24.3%
4 5
 
7.1%
5 3
 
4.3%
10 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
(Missing) 16
22.9%
ValueCountFrequency (%)
2 26
37.1%
3 17
24.3%
4 5
 
7.1%
5 3
 
4.3%
6 1
 
1.4%
7 1
 
1.4%
10 1
 
1.4%
ValueCountFrequency (%)
10 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
5 3
 
4.3%
4 5
 
7.1%
3 17
24.3%
2 26
37.1%

아세틸렌수
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
51 
<NA>
16 
2
 
2
4
 
1

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 51
72.9%
<NA> 16
 
22.9%
2 2
 
2.9%
4 1
 
1.4%

Length

2024-04-30T04:02:11.792149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:11.879711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
72.9%
na 16
 
22.9%
2 2
 
2.9%
4 1
 
1.4%

치과용프레스수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
52 
<NA>
16 
2
 
2

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 52
74.3%
<NA> 16
 
22.9%
2 2
 
2.9%

Length

2024-04-30T04:02:11.977542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:12.072655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 52
74.3%
na 16
 
22.9%
2 2
 
2.9%

전기로수
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
40 
<NA>
16 
2
12 
3
 
2

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
57.1%
<NA> 16
 
22.9%
2 12
 
17.1%
3 2
 
2.9%

Length

2024-04-30T04:02:12.182323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:12.288311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
57.1%
na 16
 
22.9%
2 12
 
17.1%
3 2
 
2.9%

포셀린로수
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
43 
<NA>
16 
2
7 
3
 
4

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
61.4%
<NA> 16
 
22.9%
2 7
 
10.0%
3 4
 
5.7%

Length

2024-04-30T04:02:12.405366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:12.507302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
61.4%
na 16
 
22.9%
2 7
 
10.0%
3 4
 
5.7%

초음파청소기수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
45 
<NA>
16 
2
9 

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
64.3%
<NA> 16
 
22.9%
2 9
 
12.9%

Length

2024-04-30T04:02:12.598358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:12.697932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
64.3%
na 16
 
22.9%
2 9
 
12.9%

서베이어수
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
50 
<NA>
16 
2
 
3
3
 
1

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
71.4%
<NA> 16
 
22.9%
2 3
 
4.3%
3 1
 
1.4%

Length

2024-04-30T04:02:12.798465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:12.892555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
71.4%
na 16
 
22.9%
2 3
 
4.3%
3 1
 
1.4%

진동기수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
49 
<NA>
16 
2
5 

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 49
70.0%
<NA> 16
 
22.9%
2 5
 
7.1%

Length

2024-04-30T04:02:12.990079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:13.081277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 49
70.0%
na 16
 
22.9%
2 5
 
7.1%

트리머수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
51 
<NA>
16 
2
 
3

Length

Max length4
Median length1
Mean length1.6857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 51
72.9%
<NA> 16
 
22.9%
2 3
 
4.3%

Length

2024-04-30T04:02:13.195418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:13.283360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 51
72.9%
na 16
 
22.9%
2 3
 
4.3%

기공용컴프레서수
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
46 
<NA>
21 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 46
65.7%
<NA> 21
30.0%
2 2
 
2.9%
3 1
 
1.4%

Length

2024-04-30T04:02:13.373767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:13.479990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 46
65.7%
na 21
30.0%
2 2
 
2.9%
3 1
 
1.4%

샌드기수
Categorical

Distinct4
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
40 
<NA>
21 
2
7 
3
 
2

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
57.1%
<NA> 21
30.0%
2 7
 
10.0%
3 2
 
2.9%

Length

2024-04-30T04:02:13.589425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:13.686143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
57.1%
na 21
30.0%
2 7
 
10.0%
3 2
 
2.9%

진공매몰기수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
48 
<NA>
21 
2
 
1

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 48
68.6%
<NA> 21
30.0%
2 1
 
1.4%

Length

2024-04-30T04:02:13.777017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:13.865427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
68.6%
na 21
30.0%
2 1
 
1.4%

핀덱스수
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size692.0 B
1
48 
<NA>
21 
2
 
1

Length

Max length4
Median length1
Mean length1.9
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 48
68.6%
<NA> 21
30.0%
2 1
 
1.4%

Length

2024-04-30T04:02:13.975568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:02:14.077178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
68.6%
na 21
30.0%
2 1
 
1.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03110000PHMB31987311003206230000119870619<NA>3폐업3폐업20180703<NA><NA><NA>02-353-0028<NA><NA>서울특별시 은평구 불광동 481번지 37호 2층서울특별시 은평구 통일로 920, 2층 (불광동)3340은평치과기공소2018-07-04 09:43:44I2018-08-31 23:59:59.0<NA>192897.905751458072.575058112111111111111
13110000PHMB31991311003206230000119911125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-357-4416<NA><NA>서울특별시 은평구 불광동 606번지 5호 101호서울특별시 은평구 진흥로15길 12-7, 101호 (불광동)3368엄지치과기공소2017-10-11 17:42:34I2018-08-31 23:59:59.0<NA>193952.62104456491.385444113112211111211
23110000PHMB31992311003206230000119920804<NA>3폐업3폐업20090828<NA><NA><NA>02-305-1246<NA>122917서울특별시 은평구 응암동 277번지 16호 2층<NA><NA>명지치과기공소2009-08-28 14:49:19I2018-08-31 23:59:59.0<NA><NA><NA>11211111111<NA><NA><NA><NA>
33110000PHMB31995311003206230000119950706<NA>3폐업3폐업20190510<NA><NA><NA>02-372-0121<NA><NA>서울특별시 은평구 응암동 587번지 39호 2층서울특별시 은평구 불광천길 366, 2층 (응암동)3484디엘치과기공소2019-05-10 17:34:05U2019-05-12 02:40:00.0<NA>192366.878572454225.664452112111111111111
43110000PHMB31997311003206230000119970206<NA>3폐업3폐업20160414<NA><NA><NA>02-357-4413<NA>122842서울특별시 은평구 대조동 191번지 40호 3층서울특별시 은평구 역말로9길 40-1 (대조동,3층)<NA>불광치과기공소2016-06-08 15:17:57I2018-08-31 23:59:59.0<NA>193086.991806456929.8886112111111111111
53110000PHMB31997311003206230000219970702<NA>1영업/정상13영업중<NA><NA><NA><NA>02-384-4282<NA><NA>서울특별시 은평구 대조동 14번지 63호 3층서울특별시 은평구 불광로 10 (대조동, 창도빌딩)3397PH치과기공소2022-09-27 09:30:40U2021-12-08 22:09:00.0<NA>193552.573364456342.923262<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63110000PHMB3199731100320623000031997-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-387-3244<NA><NA>서울특별시 은평구 불광동 314번지 21호 3층서울특별시 은평구 연서로 261-3, 3층 (불광동)3342한울치과기공소2023-06-01 15:43:15U2022-12-06 00:03:00.0<NA>193200.446207457564.528305<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73110000PHMB31999311003206230000119990527<NA>3폐업3폐업20161206<NA><NA><NA>02-384-8078,9<NA>122833서울특별시 은평구 녹번동 144번지 57호 3층서울특별시 은평구 진흥로 120-1 (녹번동,3층)<NA>대일치과기공소2016-12-07 16:36:57I2018-08-31 23:59:59.0<NA>193207.746782456091.10061112111111111111
83110000PHMB32000311003206230000120000530<NA>1영업/정상13영업중<NA><NA><NA><NA>02-356-2804<NA><NA>서울특별시 은평구 대조동 203번지 31호 3층서울특별시 은평구 연서로26길 26, 3층 (대조동)3386이노치과기공소2022-01-03 17:12:31U2022-01-05 02:40:00.0<NA>193000.856313457050.606494112111111111111
93110000PHMB32000311003206230000220000616<NA>1영업/정상13영업중<NA><NA><NA><NA>02-354-5388<NA><NA>서울특별시 은평구 대조동 187번지 55호서울특별시 은평구 통일로73길 6, 4층 (대조동)3385프런티어치과기공소2015-11-17 14:03:34I2018-08-31 23:59:59.0<NA>193196.227873457042.670039114112111111211
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
603110000PHMB32018311003206230000420180801<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 445번지 331호서울특별시 은평구 통일로92길 39, 1층 (불광동)3337수플러스치과기공소2018-08-01 14:23:47I2018-08-31 23:59:59.0<NA>193216.031788458207.915329113111111111111
613110000PHMB32019311003206230000120190502<NA>1영업/정상13영업중<NA><NA><NA><NA>002-6405-2875<NA><NA>서울특별시 은평구 녹번동 79번지 32호서울특별시 은평구 은평로 197-2, 4층 (녹번동)3384와이엔씨(Y&C)치과기공소2019-05-24 10:09:04U2019-05-26 02:40:00.0<NA>193714.144279455522.323044115111321213211
623110000PHMB32019311003206230000220190523<NA>1영업/정상13영업중<NA><NA><NA><NA>02-356-5842<NA><NA>서울특별시 은평구 역촌동 13번지 40호서울특별시 은평구 역말로 77, 2층 201호 (역촌동)3400피에이치코리아(PH Korea)2019-07-02 19:07:02U2019-07-04 02:40:00.0<NA>192749.259172456046.594233112111111111111
633110000PHMB32019311003206230000319821120<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6052-2804<NA><NA>서울특별시 은평구 신사동 339번지 1호 증산동새마을금고서울특별시 은평구 증산로15길 2, 3층 (신사동)3448엠비씨(MBC)치과기공소2019-11-12 13:44:08U2019-11-14 02:40:00.0<NA>192227.527915454081.301825112111111111111
643110000PHMB32021311003206230000120210526<NA>1영업/정상13영업중20210526<NA><NA><NA>02-383-9875<NA><NA>서울특별시 은평구 대조동 15-194서울특별시 은평구 진흥로 167, 4층 (대조동)3397하이포인트치과기공소2022-10-12 09:49:11U2021-10-30 23:04:00.0<NA>193598.348172456279.824092<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
653110000PHMB3202131100320623000022020-08-13<NA>3폐업3폐업2022-12-21<NA><NA><NA>02-852-2804<NA><NA>서울특별시 은평구 불광동 484-78서울특별시 은평구 통일로 876 (불광동)3344에즈글로벌치과기공소2023-06-13 17:11:52U2022-12-05 23:05:00.0<NA>192892.314435457653.47489<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663110000PHMB32021311003206230000320090908<NA>1영업/정상13영업중<NA><NA><NA><NA>02-313-2825<NA><NA>서울특별시 은평구 역촌동 42-26 2층서울특별시 은평구 진흥로3길 13, 2층 (역촌동)3408샤인치과기공소2021-07-26 21:50:16I2021-07-28 00:22:52.0<NA>192765.946312455463.7079225223322222322
673110000PHMB32022311003206230000120220630<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 2-20 3층서울특별시 은평구 은평로 55, 3층 (신사동)3422낭만기공소2022-06-30 18:16:24I2021-12-07 00:02:00.0<NA>192343.072616455178.876474<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
683110000PHMB3202331100320623000012023-03-17<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4224-9792<NA><NA>서울특별시 은평구 녹번동 117-44서울특별시 은평구 통일로 687, 3층 2호 (녹번동)3375DK치과기공소2023-03-21 16:25:31I2022-12-02 22:03:00.0<NA>193937.765352456133.691949<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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