Overview

Dataset statistics

Number of variables40
Number of observations43
Missing cells242
Missing cells (%)14.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory351.1 B

Variable types

Categorical23
Text6
DateTime3
Unsupported4
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16463/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (84.1%)Imbalance
휴업종료일자 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 29 (67.4%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
전화번호 has 12 (27.9%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
소재지우편번호 has 19 (44.2%) missing valuesMissing
지번주소 has 4 (9.3%) missing valuesMissing
도로명주소 has 3 (7.0%) missing valuesMissing
도로명우편번호 has 3 (7.0%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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 00:06:11.651291
Analysis finished2024-05-11 00:06:12.480862
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
3090000
43 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 43
100.0%

Length

2024-05-11T00:06:12.604188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:12.794042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 43
100.0%

관리번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T00:06:13.143803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1075
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowPHMB319913090033062300001
2nd rowPHMB319923090033062300001
3rd rowPHMB319973090033062300001
4th rowPHMB320013090033062300001
5th rowPHMB320023090033062300001
ValueCountFrequency (%)
phmb319913090033062300001 1
 
2.3%
phmb320103090033062300004 1
 
2.3%
phmb320113090033062300002 1
 
2.3%
phmb320113090033062300003 1
 
2.3%
phmb320113090033062300004 1
 
2.3%
phmb320123090033062300001 1
 
2.3%
phmb320143090033062300001 1
 
2.3%
phmb320143090033062300002 1
 
2.3%
phmb320143090033062300003 1
 
2.3%
phmb320153090033062300001 1
 
2.3%
Other values (33) 33
76.7%
2024-05-11T00:06:13.967114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 404
37.6%
3 226
21.0%
2 104
 
9.7%
9 53
 
4.9%
1 50
 
4.7%
6 44
 
4.1%
P 43
 
4.0%
H 43
 
4.0%
M 43
 
4.0%
B 43
 
4.0%
Other values (4) 22
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 903
84.0%
Uppercase Letter 172
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 404
44.7%
3 226
25.0%
2 104
 
11.5%
9 53
 
5.9%
1 50
 
5.5%
6 44
 
4.9%
4 11
 
1.2%
7 5
 
0.6%
5 4
 
0.4%
8 2
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
P 43
25.0%
H 43
25.0%
M 43
25.0%
B 43
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 903
84.0%
Latin 172
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 404
44.7%
3 226
25.0%
2 104
 
11.5%
9 53
 
5.9%
1 50
 
5.5%
6 44
 
4.9%
4 11
 
1.2%
7 5
 
0.6%
5 4
 
0.4%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
P 43
25.0%
H 43
25.0%
M 43
25.0%
B 43
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 404
37.6%
3 226
21.0%
2 104
 
9.7%
9 53
 
4.9%
1 50
 
4.7%
6 44
 
4.1%
P 43
 
4.0%
H 43
 
4.0%
M 43
 
4.0%
B 43
 
4.0%
Other values (4) 22
 
2.0%

인허가일자
Date

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1976-12-21 00:00:00
Maximum2024-04-02 00:00:00
2024-05-11T00:06:14.326390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:06:14.736887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
28 
3
14 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
65.1%
3 14
32.6%
5 1
 
2.3%

Length

2024-05-11T00:06:15.141749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:15.461640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
65.1%
3 14
32.6%
5 1
 
2.3%

영업상태명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업/정상
28 
폐업
14 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.0930233
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 28
65.1%
폐업 14
32.6%
제외/삭제/전출 1
 
2.3%

Length

2024-05-11T00:06:15.828495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:16.173206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
65.1%
폐업 14
32.6%
제외/삭제/전출 1
 
2.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
13
28 
3
14 
15
 
1

Length

Max length2
Median length2
Mean length1.6744186
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 28
65.1%
3 14
32.6%
15 1
 
2.3%

Length

2024-05-11T00:06:16.539752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:16.871212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 28
65.1%
3 14
32.6%
15 1
 
2.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
영업중
28 
폐업
14 
전출
 
1

Length

Max length3
Median length3
Mean length2.6511628
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
65.1%
폐업 14
32.6%
전출 1
 
2.3%

Length

2024-05-11T00:06:17.240043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:17.583517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
65.1%
폐업 14
32.6%
전출 1
 
2.3%

폐업일자
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing29
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean20147253
Minimum20100517
Maximum20211123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T00:06:17.945391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100517
5-th percentile20100963
Q120113484
median20131116
Q320185999
95-th percentile20204355
Maximum20211123
Range110606
Interquartile range (IQR)72515

Descriptive statistics

Standard deviation40688.167
Coefficient of variation (CV)0.0020195392
Kurtosis-1.5550711
Mean20147253
Median Absolute Deviation (MAD)29799.5
Skewness0.41552383
Sum2.8206154 × 108
Variance1.6555269 × 109
MonotonicityNot monotonic
2024-05-11T00:06:18.325355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20110323 1
 
2.3%
20200710 1
 
2.3%
20160802 1
 
2.3%
20120329 1
 
2.3%
20121031 1
 
2.3%
20100517 1
 
2.3%
20101203 1
 
2.3%
20121214 1
 
2.3%
20111202 1
 
2.3%
20211123 1
 
2.3%
Other values (4) 4
 
9.3%
(Missing) 29
67.4%
ValueCountFrequency (%)
20100517 1
2.3%
20101203 1
2.3%
20110323 1
2.3%
20111202 1
2.3%
20120329 1
2.3%
20121031 1
2.3%
20121214 1
2.3%
20141017 1
2.3%
20160802 1
2.3%
20170317 1
2.3%
ValueCountFrequency (%)
20211123 1
2.3%
20200710 1
2.3%
20200525 1
2.3%
20191226 1
2.3%
20170317 1
2.3%
20160802 1
2.3%
20141017 1
2.3%
20121214 1
2.3%
20121031 1
2.3%
20120329 1
2.3%

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
20191226
 
1

Length

Max length8
Median length4
Mean length4.0930233
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
20191226 1
 
2.3%

Length

2024-05-11T00:06:18.748233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:19.006023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
20191226 1
 
2.3%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
42 
20200525
 
1

Length

Max length8
Median length4
Mean length4.0930233
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
97.7%
20200525 1
 
2.3%

Length

2024-05-11T00:06:19.572616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:19.910883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
97.7%
20200525 1
 
2.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing12
Missing (%)27.9%
Memory size476.0 B
2024-05-11T00:06:20.292035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length10.870968
Min length8

Characters and Unicode

Total characters337
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

Unique31 ?
Unique (%)100.0%

Sample

1st row02-904-3046
2nd row02-955-9153
3rd row02-3492-2060~1
4th row02-995-5462
5th row02-3494-6443
ValueCountFrequency (%)
02-904-3046 1
 
3.2%
070-8713-0266 1
 
3.2%
945-2804 1
 
3.2%
02-6080-2842 1
 
3.2%
778-8687 1
 
3.2%
02-945-7204 1
 
3.2%
02-497-2844 1
 
3.2%
02-927-1052 1
 
3.2%
02-956-3939 1
 
3.2%
02-990-2876 1
 
3.2%
Other values (21) 21
67.7%
2024-05-11T00:06:20.938715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 58
17.2%
2 54
16.0%
0 51
15.1%
9 38
11.3%
8 28
8.3%
4 26
7.7%
3 19
 
5.6%
7 18
 
5.3%
5 17
 
5.0%
6 16
 
4.7%
Other values (2) 12
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
82.5%
Dash Punctuation 58
 
17.2%
Math Symbol 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 54
19.4%
0 51
18.3%
9 38
13.7%
8 28
10.1%
4 26
9.4%
3 19
 
6.8%
7 18
 
6.5%
5 17
 
6.1%
6 16
 
5.8%
1 11
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 337
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 58
17.2%
2 54
16.0%
0 51
15.1%
9 38
11.3%
8 28
8.3%
4 26
7.7%
3 19
 
5.6%
7 18
 
5.3%
5 17
 
5.0%
6 16
 
4.7%
Other values (2) 12
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 58
17.2%
2 54
16.0%
0 51
15.1%
9 38
11.3%
8 28
8.3%
4 26
7.7%
3 19
 
5.6%
7 18
 
5.3%
5 17
 
5.0%
6 16
 
4.7%
Other values (2) 12
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지우편번호
Text

MISSING 

Distinct22
Distinct (%)91.7%
Missing19
Missing (%)44.2%
Memory size476.0 B
2024-05-11T00:06:21.329522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2916667
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

Unique20 ?
Unique (%)83.3%

Sample

1st row132-924
2nd row132-814
3rd row132-758
4th row132-916
5th row132010
ValueCountFrequency (%)
132893 2
 
8.3%
132858 2
 
8.3%
132-924 1
 
4.2%
142061 1
 
4.2%
132819 1
 
4.2%
132908 1
 
4.2%
132031 1
 
4.2%
132848 1
 
4.2%
132820 1
 
4.2%
132898 1
 
4.2%
Other values (12) 12
50.0%
2024-05-11T00:06:22.103308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 32
21.2%
3 28
18.5%
2 28
18.5%
8 22
14.6%
0 9
 
6.0%
9 7
 
4.6%
6 7
 
4.6%
- 7
 
4.6%
4 6
 
4.0%
5 3
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
95.4%
Dash Punctuation 7
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
22.2%
3 28
19.4%
2 28
19.4%
8 22
15.3%
0 9
 
6.2%
9 7
 
4.9%
6 7
 
4.9%
4 6
 
4.2%
5 3
 
2.1%
7 2
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 32
21.2%
3 28
18.5%
2 28
18.5%
8 22
14.6%
0 9
 
6.0%
9 7
 
4.6%
6 7
 
4.6%
- 7
 
4.6%
4 6
 
4.0%
5 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 32
21.2%
3 28
18.5%
2 28
18.5%
8 22
14.6%
0 9
 
6.0%
9 7
 
4.6%
6 7
 
4.6%
- 7
 
4.6%
4 6
 
4.0%
5 3
 
2.0%

지번주소
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing4
Missing (%)9.3%
Memory size476.0 B
2024-05-11T00:06:22.593151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length23.358974
Min length17

Characters and Unicode

Total characters911
Distinct characters48
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row서울특별시 도봉구 창1동 655번지 10호
2nd row서울특별시 도봉구 도봉1동 567번지 4호
3rd row서울특별시 도봉구 도봉2동 641번지 206호 서원아파트
4th row서울특별시 도봉구 창3동 482번지 25호 2층
5th row서울특별시 도봉구 도봉동 644번지 202, 203호
ValueCountFrequency (%)
서울특별시 39
19.9%
도봉구 38
19.4%
도봉동 7
 
3.6%
창동 6
 
3.1%
쌍문2동 5
 
2.6%
26번지 3
 
1.5%
쌍문동 3
 
1.5%
도봉1동 3
 
1.5%
21호 3
 
1.5%
2층 3
 
1.5%
Other values (75) 86
43.9%
2024-05-11T00:06:23.542119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
17.2%
도 50
 
5.5%
봉 50
 
5.5%
1 42
 
4.6%
서 40
 
4.4%
울 40
 
4.4%
동 40
 
4.4%
특 39
 
4.3%
별 39
 
4.3%
시 39
 
4.3%
Other values (38) 375
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 541
59.4%
Decimal Number 207
 
22.7%
Space Separator 157
 
17.2%
Dash Punctuation 5
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 50
 
9.2%
봉 50
 
9.2%
서 40
 
7.4%
울 40
 
7.4%
동 40
 
7.4%
특 39
 
7.2%
별 39
 
7.2%
시 39
 
7.2%
구 39
 
7.2%
번 33
 
6.1%
Other values (25) 132
24.4%
Decimal Number
ValueCountFrequency (%)
1 42
20.3%
2 34
16.4%
6 29
14.0%
5 23
11.1%
3 17
8.2%
0 17
8.2%
4 14
 
6.8%
8 12
 
5.8%
7 10
 
4.8%
9 9
 
4.3%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 541
59.4%
Common 370
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 50
 
9.2%
봉 50
 
9.2%
서 40
 
7.4%
울 40
 
7.4%
동 40
 
7.4%
특 39
 
7.2%
별 39
 
7.2%
시 39
 
7.2%
구 39
 
7.2%
번 33
 
6.1%
Other values (25) 132
24.4%
Common
ValueCountFrequency (%)
157
42.4%
1 42
 
11.4%
2 34
 
9.2%
6 29
 
7.8%
5 23
 
6.2%
3 17
 
4.6%
0 17
 
4.6%
4 14
 
3.8%
8 12
 
3.2%
7 10
 
2.7%
Other values (3) 15
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 541
59.4%
ASCII 370
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
42.4%
1 42
 
11.4%
2 34
 
9.2%
6 29
 
7.8%
5 23
 
6.2%
3 17
 
4.6%
0 17
 
4.6%
4 14
 
3.8%
8 12
 
3.2%
7 10
 
2.7%
Other values (3) 15
 
4.1%
Hangul
ValueCountFrequency (%)
도 50
 
9.2%
봉 50
 
9.2%
서 40
 
7.4%
울 40
 
7.4%
동 40
 
7.4%
특 39
 
7.2%
별 39
 
7.2%
시 39
 
7.2%
구 39
 
7.2%
번 33
 
6.1%
Other values (25) 132
24.4%

도로명주소
Text

MISSING 

Distinct37
Distinct (%)92.5%
Missing3
Missing (%)7.0%
Memory size476.0 B
2024-05-11T00:06:24.075641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length27.525
Min length22

Characters and Unicode

Total characters1101
Distinct characters61
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

Unique35 ?
Unique (%)87.5%

Sample

1st row서울특별시 도봉구 도봉로110길 9 (창동)
2nd row서울특별시 도봉구 도봉산3길 79 (도봉동)
3rd row서울특별시 도봉구 마들로 684-9 (도봉동)
4th row서울특별시 도봉구 우이천로4길 45 (창동)
5th row서울특별시 도봉구 마들로 895, 202,203호 (도봉동, 도봉파크빌3단지상가)
ValueCountFrequency (%)
서울특별시 40
17.8%
도봉구 40
17.8%
도봉동 13
 
5.8%
창동 11
 
4.9%
쌍문동 9
 
4.0%
2층 7
 
3.1%
방학동 7
 
3.1%
도봉로 6
 
2.7%
3층 3
 
1.3%
마들로 3
 
1.3%
Other values (70) 86
38.2%
2024-05-11T00:06:24.780067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
16.8%
도 80
 
7.3%
봉 74
 
6.7%
1 43
 
3.9%
동 42
 
3.8%
서 40
 
3.6%
( 40
 
3.6%
특 40
 
3.6%
별 40
 
3.6%
시 40
 
3.6%
Other values (51) 477
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 630
57.2%
Space Separator 185
 
16.8%
Decimal Number 184
 
16.7%
Open Punctuation 40
 
3.6%
Close Punctuation 40
 
3.6%
Other Punctuation 21
 
1.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 80
12.7%
봉 74
11.7%
동 42
 
6.7%
서 40
 
6.3%
특 40
 
6.3%
별 40
 
6.3%
시 40
 
6.3%
구 40
 
6.3%
울 40
 
6.3%
로 39
 
6.2%
Other values (36) 155
24.6%
Decimal Number
ValueCountFrequency (%)
1 43
23.4%
2 22
12.0%
6 19
10.3%
3 19
10.3%
0 18
9.8%
9 16
 
8.7%
4 14
 
7.6%
7 12
 
6.5%
5 11
 
6.0%
8 10
 
5.4%
Space Separator
ValueCountFrequency (%)
185
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 630
57.2%
Common 471
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 80
12.7%
봉 74
11.7%
동 42
 
6.7%
서 40
 
6.3%
특 40
 
6.3%
별 40
 
6.3%
시 40
 
6.3%
구 40
 
6.3%
울 40
 
6.3%
로 39
 
6.2%
Other values (36) 155
24.6%
Common
ValueCountFrequency (%)
185
39.3%
1 43
 
9.1%
( 40
 
8.5%
) 40
 
8.5%
2 22
 
4.7%
, 21
 
4.5%
6 19
 
4.0%
3 19
 
4.0%
0 18
 
3.8%
9 16
 
3.4%
Other values (5) 48
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 630
57.2%
ASCII 471
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
39.3%
1 43
 
9.1%
( 40
 
8.5%
) 40
 
8.5%
2 22
 
4.7%
, 21
 
4.5%
6 19
 
4.0%
3 19
 
4.0%
0 18
 
3.8%
9 16
 
3.4%
Other values (5) 48
 
10.2%
Hangul
ValueCountFrequency (%)
도 80
12.7%
봉 74
11.7%
동 42
 
6.7%
서 40
 
6.3%
특 40
 
6.3%
별 40
 
6.3%
시 40
 
6.3%
구 40
 
6.3%
울 40
 
6.3%
로 39
 
6.2%
Other values (36) 155
24.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)77.5%
Missing3
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean17811.6
Minimum1303
Maximum132925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T00:06:25.038446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1303
5-th percentile1305.9
Q11327.75
median1385.5
Q31449
95-th percentile132858.25
Maximum132925
Range131622
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation44042.184
Coefficient of variation (CV)2.4726686
Kurtosis3.7406857
Mean17811.6
Median Absolute Deviation (MAD)60
Skewness2.3571092
Sum712464
Variance1.9397139 × 109
MonotonicityNot monotonic
2024-05-11T00:06:25.447118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1455 3
 
7.0%
1306 3
 
7.0%
1340 3
 
7.0%
1349 2
 
4.7%
132858 2
 
4.7%
1426 2
 
4.7%
1401 1
 
2.3%
1355 1
 
2.3%
1399 1
 
2.3%
1328 1
 
2.3%
Other values (21) 21
48.8%
(Missing) 3
 
7.0%
ValueCountFrequency (%)
1303 1
 
2.3%
1304 1
 
2.3%
1306 3
7.0%
1307 1
 
2.3%
1318 1
 
2.3%
1321 1
 
2.3%
1324 1
 
2.3%
1327 1
 
2.3%
1328 1
 
2.3%
1340 3
7.0%
ValueCountFrequency (%)
132925 1
 
2.3%
132863 1
 
2.3%
132858 2
4.7%
132848 1
 
2.3%
1479 1
 
2.3%
1459 1
 
2.3%
1455 3
7.0%
1447 1
 
2.3%
1442 1
 
2.3%
1441 1
 
2.3%

사업장명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T00:06:25.973450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length8.2093023
Min length5

Characters and Unicode

Total characters353
Distinct characters102
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

Unique43 ?
Unique (%)100.0%

Sample

1st row청아치과기공소
2nd row한올치과기공소
3rd row오알치과기공소
4th row이상치과기공소
5th row그린플러스치과기공소
ValueCountFrequency (%)
청아치과기공소 1
 
2.2%
뉴욕치과기공소 1
 
2.2%
베스트치과기공소 1
 
2.2%
치아생각치과기공소 1
 
2.2%
이플러스치과기공소 1
 
2.2%
도봉예 1
 
2.2%
덴탈 1
 
2.2%
스튜디오 1
 
2.2%
코스메틱치과기공소 1
 
2.2%
대도치과기공소 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T00:06:27.080313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 41
 
11.6%
기 40
 
11.3%
공 40
 
11.3%
소 40
 
11.3%
과 39
 
11.0%
이 12
 
3.4%
스 7
 
2.0%
E 5
 
1.4%
( 4
 
1.1%
) 4
 
1.1%
Other values (92) 121
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
89.0%
Uppercase Letter 19
 
5.4%
Lowercase Letter 8
 
2.3%
Open Punctuation 4
 
1.1%
Close Punctuation 4
 
1.1%
Space Separator 3
 
0.8%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 41
13.1%
기 40
12.7%
공 40
12.7%
소 40
12.7%
과 39
12.4%
이 12
 
3.8%
스 7
 
2.2%
다 3
 
1.0%
성 3
 
1.0%
탈 3
 
1.0%
Other values (67) 86
27.4%
Uppercase Letter
ValueCountFrequency (%)
E 5
26.3%
M 2
 
10.5%
B 2
 
10.5%
R 1
 
5.3%
O 1
 
5.3%
X 1
 
5.3%
P 1
 
5.3%
A 1
 
5.3%
G 1
 
5.3%
Z 1
 
5.3%
Other values (3) 3
15.8%
Lowercase Letter
ValueCountFrequency (%)
d 1
12.5%
a 1
12.5%
m 1
12.5%
y 1
12.5%
r 1
12.5%
o 1
12.5%
l 1
12.5%
e 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
89.0%
Latin 27
 
7.6%
Common 12
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 41
13.1%
기 40
12.7%
공 40
12.7%
소 40
12.7%
과 39
12.4%
이 12
 
3.8%
스 7
 
2.2%
다 3
 
1.0%
성 3
 
1.0%
탈 3
 
1.0%
Other values (67) 86
27.4%
Latin
ValueCountFrequency (%)
E 5
18.5%
M 2
 
7.4%
B 2
 
7.4%
d 1
 
3.7%
a 1
 
3.7%
m 1
 
3.7%
R 1
 
3.7%
O 1
 
3.7%
X 1
 
3.7%
P 1
 
3.7%
Other values (11) 11
40.7%
Common
ValueCountFrequency (%)
( 4
33.3%
) 4
33.3%
3
25.0%
& 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
89.0%
ASCII 39
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 41
13.1%
기 40
12.7%
공 40
12.7%
소 40
12.7%
과 39
12.4%
이 12
 
3.8%
스 7
 
2.2%
다 3
 
1.0%
성 3
 
1.0%
탈 3
 
1.0%
Other values (67) 86
27.4%
ASCII
ValueCountFrequency (%)
E 5
 
12.8%
( 4
 
10.3%
) 4
 
10.3%
3
 
7.7%
M 2
 
5.1%
B 2
 
5.1%
d 1
 
2.6%
a 1
 
2.6%
m 1
 
2.6%
R 1
 
2.6%
Other values (15) 15
38.5%

최종수정일자
Date

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2011-01-03 15:20:27
Maximum2024-04-02 17:12:30
2024-05-11T00:06:27.633338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:06:28.260121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
U
22 
I
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 22
51.2%
I 21
48.8%

Length

2024-05-11T00:06:28.774139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:29.226231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 22
51.2%
i 21
48.8%

데이터갱신일자
Date

Distinct18
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T00:06:29.699514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:06:30.037499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

좌표정보(X)
Real number (ℝ)

Distinct37
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203465.98
Minimum201984.17
Maximum204247.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T00:06:30.463087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201984.17
5-th percentile202830.79
Q1203120.66
median203435.18
Q3203848.77
95-th percentile204161.63
Maximum204247.21
Range2263.0422
Interquartile range (IQR)728.11713

Descriptive statistics

Standard deviation488.16074
Coefficient of variation (CV)0.0023992254
Kurtosis0.43140228
Mean203465.98
Median Absolute Deviation (MAD)368.09099
Skewness-0.53096429
Sum8749037.1
Variance238300.91
MonotonicityNot monotonic
2024-05-11T00:06:30.896348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
203183.603351629 3
 
7.0%
203848.772422951 3
 
7.0%
202944.589720389 2
 
4.7%
203394.986722653 2
 
4.7%
203266.788439587 1
 
2.3%
202622.428149134 1
 
2.3%
203435.181360382 1
 
2.3%
204004.945534634 1
 
2.3%
203796.540982506 1
 
2.3%
203663.222587199 1
 
2.3%
Other values (27) 27
62.8%
ValueCountFrequency (%)
201984.171152852 1
2.3%
202622.428149134 1
2.3%
202818.242412448 1
2.3%
202943.747074384 1
2.3%
202944.589720389 2
4.7%
202974.446586497 1
2.3%
202990.966469955 1
2.3%
203067.090373737 1
2.3%
203071.568977276 1
2.3%
203085.515171933 1
2.3%
ValueCountFrequency (%)
204247.213401781 1
2.3%
204222.46195029 1
2.3%
204172.527806715 1
2.3%
204063.565019682 1
2.3%
204019.980137512 1
2.3%
204012.019549935 1
2.3%
204006.844691966 1
2.3%
204004.945534634 1
2.3%
203960.176959544 1
2.3%
203922.830877143 1
2.3%

좌표정보(Y)
Real number (ℝ)

Distinct37
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462202.02
Minimum459103.18
Maximum465025.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T00:06:31.269727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459103.18
5-th percentile460448.69
Q1461156.86
median462020.6
Q3463219.07
95-th percentile464563.93
Maximum465025.25
Range5922.0618
Interquartile range (IQR)2062.2043

Descriptive statistics

Standard deviation1406.9952
Coefficient of variation (CV)0.003044113
Kurtosis-0.67324404
Mean462202.02
Median Absolute Deviation (MAD)1050.1334
Skewness0.20870689
Sum19874687
Variance1979635.4
MonotonicityNot monotonic
2024-05-11T00:06:31.659599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
462020.595799549 3
 
7.0%
464092.187505065 3
 
7.0%
460448.690659531 2
 
4.7%
461478.663834333 2
 
4.7%
462297.419058545 1
 
2.3%
460930.14971343 1
 
2.3%
463070.729209446 1
 
2.3%
461048.885008795 1
 
2.3%
463943.927248822 1
 
2.3%
462505.455032714 1
 
2.3%
Other values (27) 27
62.8%
ValueCountFrequency (%)
459103.184860837 1
2.3%
460414.868535121 1
2.3%
460448.690659531 2
4.7%
460483.690733605 1
2.3%
460548.068588609 1
2.3%
460730.740536115 1
2.3%
460865.293823829 1
2.3%
460930.14971343 1
2.3%
461048.885008795 1
2.3%
461131.830916668 1
2.3%
ValueCountFrequency (%)
465025.246646886 1
 
2.3%
464725.202550965 1
 
2.3%
464603.47362958 1
 
2.3%
464208.078439442 1
 
2.3%
464092.187505065 3
7.0%
463943.927248822 1
 
2.3%
463528.004820848 1
 
2.3%
463449.540298026 1
 
2.3%
463346.756715076 1
 
2.3%
463091.381033327 1
 
2.3%

기공용레스수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
23 
<NA>
19 
4
 
1

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
53.5%
<NA> 19
44.2%
4 1
 
2.3%

Length

2024-05-11T00:06:32.142313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:32.480656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
53.5%
na 19
44.2%
4 1
 
2.3%

원심주조기수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
24 
<NA>
19 

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
55.8%
<NA> 19
44.2%

Length

2024-05-11T00:06:32.864457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:33.196423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
55.8%
na 19
44.2%

기공용모터수
Categorical

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
19 
2
14 
3
7 
5
2 
4
 
1

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
44.2%
2 14
32.6%
3 7
 
16.3%
5 2
 
4.7%
4 1
 
2.3%

Length

2024-05-11T00:06:33.556643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:33.906497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
44.2%
2 14
32.6%
3 7
 
16.3%
5 2
 
4.7%
4 1
 
2.3%

아세틸렌수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
24 
<NA>
19 

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
55.8%
<NA> 19
44.2%

Length

2024-05-11T00:06:34.236664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:34.565977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
55.8%
na 19
44.2%

치과용프레스수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
24 
<NA>
19 

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
55.8%
<NA> 19
44.2%

Length

2024-05-11T00:06:34.929537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:35.224121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
55.8%
na 19
44.2%

전기로수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
21 
<NA>
19 
2
3 

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
48.8%
<NA> 19
44.2%
2 3
 
7.0%

Length

2024-05-11T00:06:35.450826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:35.653319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
48.8%
na 19
44.2%
2 3
 
7.0%

포셀린로수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
22 
<NA>
19 
2
 
2

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
51.2%
<NA> 19
44.2%
2 2
 
4.7%

Length

2024-05-11T00:06:35.865035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:36.071694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
51.2%
na 19
44.2%
2 2
 
4.7%

초음파청소기수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
23 
<NA>
19 
2
 
1

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
53.5%
<NA> 19
44.2%
2 1
 
2.3%

Length

2024-05-11T00:06:36.369071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:36.622259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
53.5%
na 19
44.2%
2 1
 
2.3%

서베이어수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
22 
<NA>
19 
2
 
2

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 22
51.2%
<NA> 19
44.2%
2 2
 
4.7%

Length

2024-05-11T00:06:36.996614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:37.250938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 22
51.2%
na 19
44.2%
2 2
 
4.7%

진동기수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
23 
<NA>
19 
2
 
1

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
53.5%
<NA> 19
44.2%
2 1
 
2.3%

Length

2024-05-11T00:06:37.470518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:37.707622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
53.5%
na 19
44.2%
2 1
 
2.3%

트리머수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
24 
<NA>
19 

Length

Max length4
Median length1
Mean length2.3255814
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 24
55.8%
<NA> 19
44.2%

Length

2024-05-11T00:06:38.092214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:38.294631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
55.8%
na 19
44.2%

기공용컴프레서수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
24 
1
18 
4
 
1

Length

Max length4
Median length4
Mean length2.6744186
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
55.8%
1 18
41.9%
4 1
 
2.3%

Length

2024-05-11T00:06:38.514110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:38.721210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
55.8%
1 18
41.9%
4 1
 
2.3%

샌드기수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
24 
1
17 
2
 
2

Length

Max length4
Median length4
Mean length2.6744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
55.8%
1 17
39.5%
2 2
 
4.7%

Length

2024-05-11T00:06:39.070043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:39.292224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
55.8%
1 17
39.5%
2 2
 
4.7%

진공매몰기수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
24 
1
19 

Length

Max length4
Median length4
Mean length2.6744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
55.8%
1 19
44.2%

Length

2024-05-11T00:06:39.515499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:39.962910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
55.8%
1 19
44.2%

핀덱스수
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
24 
1
19 

Length

Max length4
Median length4
Mean length2.6744186
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
55.8%
1 19
44.2%

Length

2024-05-11T00:06:40.169236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:06:40.380232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
55.8%
1 19
44.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03090000PHMB3199130900330623000011991-10-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-904-3046<NA>132-924서울특별시 도봉구 창1동 655번지 10호서울특별시 도봉구 도봉로110길 9 (창동)1455청아치과기공소2023-07-11 17:51:31U2022-12-06 23:03:00.0<NA>202944.58972460448.69066<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13090000PHMB3199230900330623000011992-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-955-9153<NA>132-814서울특별시 도봉구 도봉1동 567번지 4호서울특별시 도봉구 도봉산3길 79 (도봉동)1304한올치과기공소2023-06-28 17:37:43U2022-12-05 21:00:00.0<NA>203784.512217464603.47363<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23090000PHMB3199730900330623000011997-09-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3492-2060~1<NA>132-758서울특별시 도봉구 도봉2동 641번지 206호 서원아파트서울특별시 도봉구 마들로 684-9 (도봉동)1324오알치과기공소2023-07-11 17:50:24U2022-12-06 23:03:00.0<NA>204172.527807463449.540298<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33090000PHMB3200130900330623000012001-08-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-995-5462<NA>132-916서울특별시 도봉구 창3동 482번지 25호 2층서울특별시 도봉구 우이천로4길 45 (창동)1479이상치과기공소2023-07-11 17:49:27U2022-12-06 23:03:00.0<NA>203618.171437459103.184861<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43090000PHMB32002309003306230000120021016<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3494-6443<NA>132010서울특별시 도봉구 도봉동 644번지 202, 203호서울특별시 도봉구 마들로 895, 202,203호 (도봉동, 도봉파크빌3단지상가)1318그린플러스치과기공소2015-07-17 13:57:46I2018-08-31 23:59:59.0<NA>204222.46195465025.246647112111111111111
53090000PHMB3200330900330623000012003-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3491-2894<NA>132-818서울특별시 도봉구 도봉1동 595번지서울특별시 도봉구 도봉로 851 (도봉동)1306남경치과기공소2023-07-11 17:48:28U2022-12-06 23:03:00.0<NA>203848.772423464092.187505<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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