Overview

Dataset statistics

Number of variables40
Number of observations93
Missing cells748
Missing cells (%)20.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.7 KiB
Average record size in memory349.4 B

Variable types

Categorical20
Text5
DateTime4
Unsupported6
Numeric5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),기공용레스수,원심주조기수,기공용모터수,아세틸렌수,치과용프레스수,전기로수,포셀린로수,초음파청소기수,서베이어수,진동기수,트리머수,기공용컴프레서수,샌드기수,진공매몰기수,핀덱스수
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-16470/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 93 (100.0%) missing valuesMissing
폐업일자 has 39 (41.9%) missing valuesMissing
휴업시작일자 has 93 (100.0%) missing valuesMissing
휴업종료일자 has 93 (100.0%) missing valuesMissing
재개업일자 has 93 (100.0%) missing valuesMissing
전화번호 has 30 (32.3%) missing valuesMissing
소재지면적 has 93 (100.0%) missing valuesMissing
소재지우편번호 has 63 (67.7%) missing valuesMissing
지번주소 has 2 (2.2%) missing valuesMissing
도로명주소 has 3 (3.2%) missing valuesMissing
도로명우편번호 has 23 (24.7%) missing valuesMissing
업태구분명 has 93 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.2%) missing valuesMissing
좌표정보(Y) has 2 (2.2%) missing valuesMissing
기공용모터수 has 26 (28.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:57:29.221793
Analysis finished2024-05-11 05:57:30.556023
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
3160000
93 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 93
100.0%

Length

2024-05-11T05:57:30.721452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:30.964844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 93
100.0%

관리번호
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-05-11T05:57:31.352943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2325
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

Unique93 ?
Unique (%)100.0%

Sample

1st rowPHMB319863160034062300001
2nd rowPHMB319923160034062300001
3rd rowPHMB319973160034062300001
4th rowPHMB319993160034062300001
5th rowPHMB319993160034062300002
ValueCountFrequency (%)
phmb319863160034062300001 1
 
1.1%
phmb320123160034062300011 1
 
1.1%
phmb320193160034062300001 1
 
1.1%
phmb320183160034062300003 1
 
1.1%
phmb320183160034062300002 1
 
1.1%
phmb320173160034062300007 1
 
1.1%
phmb320173160034062300006 1
 
1.1%
phmb320173160034062300005 1
 
1.1%
phmb320173160034062300003 1
 
1.1%
phmb320173160034062300002 1
 
1.1%
Other values (83) 83
89.2%
2024-05-11T05:57:32.354797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 770
33.1%
3 395
17.0%
2 244
 
10.5%
6 199
 
8.6%
1 187
 
8.0%
4 106
 
4.6%
P 93
 
4.0%
H 93
 
4.0%
M 93
 
4.0%
B 93
 
4.0%
Other values (4) 52
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1953
84.0%
Uppercase Letter 372
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 770
39.4%
3 395
20.2%
2 244
 
12.5%
6 199
 
10.2%
1 187
 
9.6%
4 106
 
5.4%
7 17
 
0.9%
9 16
 
0.8%
5 11
 
0.6%
8 8
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 93
25.0%
H 93
25.0%
M 93
25.0%
B 93
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1953
84.0%
Latin 372
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 770
39.4%
3 395
20.2%
2 244
 
12.5%
6 199
 
10.2%
1 187
 
9.6%
4 106
 
5.4%
7 17
 
0.9%
9 16
 
0.8%
5 11
 
0.6%
8 8
 
0.4%
Latin
ValueCountFrequency (%)
P 93
25.0%
H 93
25.0%
M 93
25.0%
B 93
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 770
33.1%
3 395
17.0%
2 244
 
10.5%
6 199
 
8.6%
1 187
 
8.0%
4 106
 
4.6%
P 93
 
4.0%
H 93
 
4.0%
M 93
 
4.0%
B 93
 
4.0%
Other values (4) 52
 
2.2%

인허가일자
Date

Distinct90
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum1986-03-11 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T05:57:32.862342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:33.353891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
3
52 
1
38 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 52
55.9%
1 38
40.9%
5 3
 
3.2%

Length

2024-05-11T05:57:33.801341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:34.146863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 52
55.9%
1 38
40.9%
5 3
 
3.2%

영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
폐업
52 
영업/정상
38 
제외/삭제/전출
 
3

Length

Max length8
Median length2
Mean length3.4193548
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 52
55.9%
영업/정상 38
40.9%
제외/삭제/전출 3
 
3.2%

Length

2024-05-11T05:57:34.600147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:35.014145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 52
55.9%
영업/정상 38
40.9%
제외/삭제/전출 3
 
3.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
3
52 
13
38 
15
 
3

Length

Max length2
Median length1
Mean length1.4408602
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 52
55.9%
13 38
40.9%
15 3
 
3.2%

Length

2024-05-11T05:57:35.460376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:35.850584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 52
55.9%
13 38
40.9%
15 3
 
3.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
폐업
52 
영업중
38 
전출
 
3

Length

Max length3
Median length2
Mean length2.4086022
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 52
55.9%
영업중 38
40.9%
전출 3
 
3.2%

Length

2024-05-11T05:57:36.182236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:36.529610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 52
55.9%
영업중 38
40.9%
전출 3
 
3.2%

폐업일자
Date

MISSING 

Distinct52
Distinct (%)96.3%
Missing39
Missing (%)41.9%
Memory size876.0 B
Minimum2009-03-18 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T05:57:36.891375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:37.402761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

전화번호
Text

MISSING 

Distinct60
Distinct (%)95.2%
Missing30
Missing (%)32.3%
Memory size876.0 B
2024-05-11T05:57:38.026816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.952381
Min length3

Characters and Unicode

Total characters690
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

Unique57 ?
Unique (%)90.5%

Sample

1st row02-2687-0484
2nd row02-2686-1323
3rd row02-2637-9337
4th row02-867-2191
5th row02-830-7637
ValueCountFrequency (%)
868-2820 2
 
3.2%
856-2804 2
 
3.2%
02-841-2828 2
 
3.2%
02-478-2804 1
 
1.6%
02-2061-2806 1
 
1.6%
02-836-0429 1
 
1.6%
02-2069-0734 1
 
1.6%
02-2687-0484 1
 
1.6%
02-868-2820 1
 
1.6%
02-867-7008 1
 
1.6%
Other values (50) 50
79.4%
2024-05-11T05:57:39.115646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 143
20.7%
- 111
16.1%
0 105
15.2%
8 95
13.8%
6 56
 
8.1%
4 43
 
6.2%
7 34
 
4.9%
3 31
 
4.5%
1 29
 
4.2%
5 22
 
3.2%
Other values (2) 21
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 578
83.8%
Dash Punctuation 111
 
16.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 143
24.7%
0 105
18.2%
8 95
16.4%
6 56
 
9.7%
4 43
 
7.4%
7 34
 
5.9%
3 31
 
5.4%
1 29
 
5.0%
5 22
 
3.8%
9 20
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 690
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 143
20.7%
- 111
16.1%
0 105
15.2%
8 95
13.8%
6 56
 
8.1%
4 43
 
6.2%
7 34
 
4.9%
3 31
 
4.5%
1 29
 
4.2%
5 22
 
3.2%
Other values (2) 21
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 143
20.7%
- 111
16.1%
0 105
15.2%
8 95
13.8%
6 56
 
8.1%
4 43
 
6.2%
7 34
 
4.9%
3 31
 
4.5%
1 29
 
4.2%
5 22
 
3.2%
Other values (2) 21
 
3.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)76.7%
Missing63
Missing (%)67.7%
Infinite0
Infinite (%)0.0%
Mean152706.53
Minimum152050
Maximum152906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T05:57:39.492284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum152050
5-th percentile152052.45
Q1152781.5
median152833
Q3152858
95-th percentile152880.25
Maximum152906
Range856
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation297.8473
Coefficient of variation (CV)0.0019504555
Kurtosis1.5592885
Mean152706.53
Median Absolute Deviation (MAD)25
Skewness-1.8359806
Sum4581196
Variance88713.016
MonotonicityNot monotonic
2024-05-11T05:57:39.875867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
152858 6
 
6.5%
152828 2
 
2.2%
152053 2
 
2.2%
152841 1
 
1.1%
152838 1
 
1.1%
152844 1
 
1.1%
152809 1
 
1.1%
152866 1
 
1.1%
152070 1
 
1.1%
152801 1
 
1.1%
Other values (13) 13
 
14.0%
(Missing) 63
67.7%
ValueCountFrequency (%)
152050 1
1.1%
152052 1
1.1%
152053 2
2.2%
152070 1
1.1%
152766 1
1.1%
152768 1
1.1%
152775 1
1.1%
152801 1
1.1%
152809 1
1.1%
152811 1
1.1%
ValueCountFrequency (%)
152906 1
 
1.1%
152887 1
 
1.1%
152872 1
 
1.1%
152866 1
 
1.1%
152859 1
 
1.1%
152858 6
6.5%
152844 1
 
1.1%
152842 1
 
1.1%
152841 1
 
1.1%
152838 1
 
1.1%

지번주소
Text

MISSING 

Distinct87
Distinct (%)95.6%
Missing2
Missing (%)2.2%
Memory size876.0 B
2024-05-11T05:57:40.591411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length28.725275
Min length18

Characters and Unicode

Total characters2614
Distinct characters110
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)92.3%

Sample

1st row서울특별시 구로구 개봉동 403번지 117호 ,3층
2nd row서울특별시 구로구 고척동 271번지 188호 ,3층
3rd row서울특별시 구로구 신도림동 293번지 40호 ,3층
4th row서울특별시 구로구 구로동 197번지 17호 에이스테크노타워1차 709호
5th row서울특별시 구로구 구로동 486번지 10호
ValueCountFrequency (%)
서울특별시 91
 
17.1%
구로구 91
 
17.1%
구로동 44
 
8.3%
개봉동 14
 
2.6%
3층 13
 
2.4%
2층 11
 
2.1%
고척동 6
 
1.1%
197번지 6
 
1.1%
구로2동 6
 
1.1%
17호 5
 
0.9%
Other values (168) 244
46.0%
2024-05-11T05:57:41.915163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
441
 
16.9%
구 243
 
9.3%
로 152
 
5.8%
1 105
 
4.0%
2 100
 
3.8%
동 97
 
3.7%
시 92
 
3.5%
서 91
 
3.5%
특 91
 
3.5%
별 91
 
3.5%
Other values (100) 1111
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1563
59.8%
Decimal Number 568
 
21.7%
Space Separator 441
 
16.9%
Dash Punctuation 23
 
0.9%
Other Punctuation 13
 
0.5%
Letter Number 2
 
0.1%
Math Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 243
15.5%
로 152
 
9.7%
동 97
 
6.2%
시 92
 
5.9%
서 91
 
5.8%
특 91
 
5.8%
별 91
 
5.8%
울 91
 
5.8%
호 90
 
5.8%
지 71
 
4.5%
Other values (83) 454
29.0%
Decimal Number
ValueCountFrequency (%)
1 105
18.5%
2 100
17.6%
3 79
13.9%
0 57
10.0%
5 53
9.3%
4 51
9.0%
7 42
 
7.4%
9 33
 
5.8%
6 31
 
5.5%
8 17
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
441
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1563
59.8%
Common 1047
40.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 243
15.5%
로 152
 
9.7%
동 97
 
6.2%
시 92
 
5.9%
서 91
 
5.8%
특 91
 
5.8%
별 91
 
5.8%
울 91
 
5.8%
호 90
 
5.8%
지 71
 
4.5%
Other values (83) 454
29.0%
Common
ValueCountFrequency (%)
441
42.1%
1 105
 
10.0%
2 100
 
9.6%
3 79
 
7.5%
0 57
 
5.4%
5 53
 
5.1%
4 51
 
4.9%
7 42
 
4.0%
9 33
 
3.2%
6 31
 
3.0%
Other values (4) 55
 
5.3%
Latin
ValueCountFrequency (%)
Ⅲ 2
50.0%
I 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1563
59.8%
ASCII 1049
40.1%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
441
42.0%
1 105
 
10.0%
2 100
 
9.5%
3 79
 
7.5%
0 57
 
5.4%
5 53
 
5.1%
4 51
 
4.9%
7 42
 
4.0%
9 33
 
3.1%
6 31
 
3.0%
Other values (6) 57
 
5.4%
Hangul
ValueCountFrequency (%)
구 243
15.5%
로 152
 
9.7%
동 97
 
6.2%
시 92
 
5.9%
서 91
 
5.8%
특 91
 
5.8%
별 91
 
5.8%
울 91
 
5.8%
호 90
 
5.8%
지 71
 
4.5%
Other values (83) 454
29.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

도로명주소
Text

MISSING 

Distinct84
Distinct (%)93.3%
Missing3
Missing (%)3.2%
Memory size876.0 B
2024-05-11T05:57:42.508702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length34.066667
Min length22

Characters and Unicode

Total characters3066
Distinct characters126
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)88.9%

Sample

1st row서울특별시 구로구 개봉로 47, 3층 (개봉동)
2nd row서울특별시 구로구 경인로35길 131-23, 3층 (고척동)
3rd row서울특별시 구로구 신도림로11라길 22, 3층 (신도림동)
4th row서울특별시 구로구 디지털로31길 38-9, 에이스테크노타워1차 709호 (구로동)
5th row서울특별시 구로구 구로동로 216 (구로동)
ValueCountFrequency (%)
서울특별시 90
 
15.8%
구로구 90
 
15.8%
구로동 48
 
8.4%
개봉동 17
 
3.0%
2층 13
 
2.3%
3층 12
 
2.1%
디지털로31길 9
 
1.6%
개봉로 7
 
1.2%
20 6
 
1.1%
고척동 6
 
1.1%
Other values (181) 271
47.6%
2024-05-11T05:57:43.601470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
479
 
15.6%
구 257
 
8.4%
로 257
 
8.4%
동 107
 
3.5%
1 97
 
3.2%
, 93
 
3.0%
서 92
 
3.0%
시 92
 
3.0%
2 91
 
3.0%
( 91
 
3.0%
Other values (116) 1410
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1759
57.4%
Decimal Number 526
 
17.2%
Space Separator 479
 
15.6%
Other Punctuation 93
 
3.0%
Open Punctuation 91
 
3.0%
Close Punctuation 91
 
3.0%
Dash Punctuation 22
 
0.7%
Uppercase Letter 3
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 257
14.6%
로 257
14.6%
동 107
 
6.1%
서 92
 
5.2%
시 92
 
5.2%
별 90
 
5.1%
특 90
 
5.1%
울 90
 
5.1%
길 55
 
3.1%
층 42
 
2.4%
Other values (97) 587
33.4%
Decimal Number
ValueCountFrequency (%)
1 97
18.4%
2 91
17.3%
3 88
16.7%
0 74
14.1%
4 47
8.9%
5 37
 
7.0%
7 30
 
5.7%
9 27
 
5.1%
6 19
 
3.6%
8 16
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
I 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
479
100.0%
Other Punctuation
ValueCountFrequency (%)
, 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1759
57.4%
Common 1302
42.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 257
14.6%
로 257
14.6%
동 107
 
6.1%
서 92
 
5.2%
시 92
 
5.2%
별 90
 
5.1%
특 90
 
5.1%
울 90
 
5.1%
길 55
 
3.1%
층 42
 
2.4%
Other values (97) 587
33.4%
Common
ValueCountFrequency (%)
479
36.8%
1 97
 
7.5%
, 93
 
7.1%
2 91
 
7.0%
( 91
 
7.0%
) 91
 
7.0%
3 88
 
6.8%
0 74
 
5.7%
4 47
 
3.6%
5 37
 
2.8%
Other values (5) 114
 
8.8%
Latin
ValueCountFrequency (%)
Ⅲ 2
40.0%
B 1
20.0%
I 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1759
57.4%
ASCII 1305
42.6%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
479
36.7%
1 97
 
7.4%
, 93
 
7.1%
2 91
 
7.0%
( 91
 
7.0%
) 91
 
7.0%
3 88
 
6.7%
0 74
 
5.7%
4 47
 
3.6%
5 37
 
2.8%
Other values (8) 117
 
9.0%
Hangul
ValueCountFrequency (%)
구 257
14.6%
로 257
14.6%
동 107
 
6.1%
서 92
 
5.2%
시 92
 
5.2%
별 90
 
5.1%
특 90
 
5.1%
울 90
 
5.1%
길 55
 
3.1%
층 42
 
2.4%
Other values (97) 587
33.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)61.4%
Missing23
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean14509
Minimum8203
Maximum152887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T05:57:44.163112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8203
5-th percentile8215
Q18280
median8306.5
Q38380
95-th percentile8395
Maximum152887
Range144684
Interquartile range (IQR)100

Descriptive statistics

Standard deviation29488.647
Coefficient of variation (CV)2.0324383
Kurtosis19.852419
Mean14509
Median Absolute Deviation (MAD)46
Skewness4.6136439
Sum1015630
Variance8.6958029 × 108
MonotonicityNot monotonic
2024-05-11T05:57:44.628851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
8380 5
 
5.4%
8280 4
 
4.3%
8334 3
 
3.2%
8215 3
 
3.2%
8389 3
 
3.2%
8289 3
 
3.2%
8298 3
 
3.2%
8390 2
 
2.2%
8296 2
 
2.2%
8234 2
 
2.2%
Other values (33) 40
43.0%
(Missing) 23
24.7%
ValueCountFrequency (%)
8203 1
 
1.1%
8213 1
 
1.1%
8215 3
3.2%
8223 1
 
1.1%
8234 2
2.2%
8238 1
 
1.1%
8247 2
2.2%
8263 1
 
1.1%
8267 1
 
1.1%
8268 1
 
1.1%
ValueCountFrequency (%)
152887 1
 
1.1%
152858 2
 
2.2%
8395 2
 
2.2%
8391 1
 
1.1%
8390 2
 
2.2%
8389 3
3.2%
8382 1
 
1.1%
8381 2
 
2.2%
8380 5
5.4%
8377 1
 
1.1%

사업장명
Text

Distinct87
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-05-11T05:57:45.203568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.9354839
Min length4

Characters and Unicode

Total characters831
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

Unique81 ?
Unique (%)87.1%

Sample

1st row메디칼치과기공소
2nd row덴탈앤코치과기공소
3rd row삼성치과기공소
4th row대화치과기공소
5th row한우리치과기공소
ValueCountFrequency (%)
치과기공소 7
 
6.7%
진치과기공소 2
 
1.9%
지텍치과기공소 2
 
1.9%
진미소치과기공소 2
 
1.9%
행복한치과기공소 2
 
1.9%
믿음앤그린치과기공소 2
 
1.9%
서울마이크로치과기공소 2
 
1.9%
k치과기공소 1
 
1.0%
kd치과기공소 1
 
1.0%
붐치과기공소 1
 
1.0%
Other values (83) 83
79.0%
2024-05-11T05:57:46.269109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 90
 
10.8%
공 87
 
10.5%
치 87
 
10.5%
기 86
 
10.3%
과 85
 
10.2%
이 19
 
2.3%
12
 
1.4%
스 11
 
1.3%
덴 10
 
1.2%
지 10
 
1.2%
Other values (152) 334
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 712
85.7%
Lowercase Letter 47
 
5.7%
Uppercase Letter 39
 
4.7%
Space Separator 12
 
1.4%
Close Punctuation 7
 
0.8%
Open Punctuation 7
 
0.8%
Decimal Number 5
 
0.6%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 90
12.6%
공 87
 
12.2%
치 87
 
12.2%
기 86
 
12.1%
과 85
 
11.9%
이 19
 
2.7%
스 11
 
1.5%
덴 10
 
1.4%
지 10
 
1.4%
탈 8
 
1.1%
Other values (112) 219
30.8%
Uppercase Letter
ValueCountFrequency (%)
D 6
15.4%
H 3
 
7.7%
E 3
 
7.7%
T 3
 
7.7%
K 2
 
5.1%
L 2
 
5.1%
R 2
 
5.1%
G 2
 
5.1%
S 2
 
5.1%
Y 2
 
5.1%
Other values (9) 12
30.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
19.1%
t 8
17.0%
a 6
12.8%
r 6
12.8%
l 3
 
6.4%
n 3
 
6.4%
y 2
 
4.3%
s 2
 
4.3%
u 2
 
4.3%
c 2
 
4.3%
Other values (4) 4
8.5%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
2 2
40.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 712
85.7%
Latin 86
 
10.3%
Common 33
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 90
12.6%
공 87
 
12.2%
치 87
 
12.2%
기 86
 
12.1%
과 85
 
11.9%
이 19
 
2.7%
스 11
 
1.5%
덴 10
 
1.4%
지 10
 
1.4%
탈 8
 
1.1%
Other values (112) 219
30.8%
Latin
ValueCountFrequency (%)
e 9
 
10.5%
t 8
 
9.3%
D 6
 
7.0%
a 6
 
7.0%
r 6
 
7.0%
H 3
 
3.5%
E 3
 
3.5%
T 3
 
3.5%
l 3
 
3.5%
n 3
 
3.5%
Other values (23) 36
41.9%
Common
ValueCountFrequency (%)
12
36.4%
) 7
21.2%
( 7
21.2%
0 3
 
9.1%
2 2
 
6.1%
. 1
 
3.0%
& 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 712
85.7%
ASCII 119
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 90
12.6%
공 87
 
12.2%
치 87
 
12.2%
기 86
 
12.1%
과 85
 
11.9%
이 19
 
2.7%
스 11
 
1.5%
덴 10
 
1.4%
지 10
 
1.4%
탈 8
 
1.1%
Other values (112) 219
30.8%
ASCII
ValueCountFrequency (%)
12
 
10.1%
e 9
 
7.6%
t 8
 
6.7%
) 7
 
5.9%
( 7
 
5.9%
D 6
 
5.0%
a 6
 
5.0%
r 6
 
5.0%
H 3
 
2.5%
E 3
 
2.5%
Other values (30) 52
43.7%

최종수정일자
Date

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2009-03-25 16:48:49
Maximum2024-05-03 15:28:14
2024-05-11T05:57:46.736603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:47.301421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
U
52 
I
41 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 52
55.9%
I 41
44.1%

Length

2024-05-11T05:57:48.011859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:48.470212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 52
55.9%
i 41
44.1%

데이터갱신일자
Date

Distinct51
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T05:57:48.795473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:57:49.422568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)72.5%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean189132.93
Minimum184274
Maximum191187.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T05:57:50.075937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184274
5-th percentile186418.9
Q1187368.59
median189731.94
Q3190412.61
95-th percentile190671.44
Maximum191187.51
Range6913.5062
Interquartile range (IQR)3044.018

Descriptive statistics

Standard deviation1591.6222
Coefficient of variation (CV)0.0084153623
Kurtosis-0.43787858
Mean189132.93
Median Absolute Deviation (MAD)790.35025
Skewness-0.87437528
Sum17211097
Variance2533261.1
MonotonicityNot monotonic
2024-05-11T05:57:50.733359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190571.928127507 5
 
5.4%
190671.436719919 3
 
3.2%
190496.447846852 3
 
3.2%
190368.667231006 3
 
3.2%
187241.331221282 3
 
3.2%
190030.483688482 2
 
2.2%
189661.489845947 2
 
2.2%
186418.904255059 2
 
2.2%
190136.483727803 2
 
2.2%
189523.268769077 2
 
2.2%
Other values (56) 64
68.8%
ValueCountFrequency (%)
184274.000681736 1
1.1%
185837.924401264 1
1.1%
186032.12976828 1
1.1%
186095.357416644 1
1.1%
186418.904255059 2
2.2%
186749.351162029 1
1.1%
186787.29018961 1
1.1%
186899.102771731 1
1.1%
186971.058596 1
1.1%
187019.157564929 1
1.1%
ValueCountFrequency (%)
191187.50683561 1
 
1.1%
190776.468544178 2
 
2.2%
190741.158117503 1
 
1.1%
190671.436719919 3
3.2%
190594.904645635 1
 
1.1%
190571.928127507 5
5.4%
190528.450104488 2
 
2.2%
190522.288017582 1
 
1.1%
190496.447846852 3
3.2%
190491.833060361 1
 
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)72.5%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean443533.96
Minimum441936.25
Maximum445319.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T05:57:51.415310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441936.25
5-th percentile442219.14
Q1442645.33
median443828.77
Q3444291.04
95-th percentile444805.45
Maximum445319.93
Range3383.6859
Interquartile range (IQR)1645.7075

Descriptive statistics

Standard deviation896.737
Coefficient of variation (CV)0.0020218001
Kurtosis-1.3637655
Mean443533.96
Median Absolute Deviation (MAD)807.02836
Skewness-0.069921752
Sum40361590
Variance804137.25
MonotonicityNot monotonic
2024-05-11T05:57:52.437568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442598.144798533 5
 
5.4%
442219.137493629 3
 
3.2%
442645.330573628 3
 
3.2%
443952.558147738 3
 
3.2%
442862.79855498 3
 
3.2%
444395.329843909 2
 
2.2%
444788.587049392 2
 
2.2%
444434.999396867 2
 
2.2%
443021.744198807 2
 
2.2%
443977.668383819 2
 
2.2%
Other values (56) 64
68.8%
ValueCountFrequency (%)
441936.248166266 2
2.2%
442216.317475069 1
 
1.1%
442219.137493629 3
3.2%
442261.654499191 1
 
1.1%
442350.225867324 1
 
1.1%
442352.770364667 2
2.2%
442370.143700207 2
2.2%
442408.411041554 1
 
1.1%
442477.332680657 1
 
1.1%
442596.203831363 1
 
1.1%
ValueCountFrequency (%)
445319.93404113 1
1.1%
444896.37675407 1
1.1%
444826.453354819 2
2.2%
444822.310112893 1
1.1%
444788.587049392 2
2.2%
444724.788456967 1
1.1%
444722.181249086 2
2.2%
444628.911198986 1
1.1%
444574.415673566 1
1.1%
444533.926945195 1
1.1%

기공용레스수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
65 
<NA>
26 
2
 
2

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 65
69.9%
<NA> 26
 
28.0%
2 2
 
2.2%

Length

2024-05-11T05:57:53.027216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:53.536736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 65
69.9%
na 26
 
28.0%
2 2
 
2.2%

원심주조기수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
66 
<NA>
26 
2
 
1

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 66
71.0%
<NA> 26
 
28.0%
2 1
 
1.1%

Length

2024-05-11T05:57:54.080145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:54.455866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 66
71.0%
na 26
 
28.0%
2 1
 
1.1%

기공용모터수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)11.9%
Missing26
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean3.1343284
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T05:57:54.809344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile6
Maximum17
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3734358
Coefficient of variation (CV)0.75723905
Kurtosis18.661734
Mean3.1343284
Median Absolute Deviation (MAD)1
Skewness3.8653007
Sum210
Variance5.6331976
MonotonicityNot monotonic
2024-05-11T05:57:55.248515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 31
33.3%
3 19
20.4%
4 6
 
6.5%
5 3
 
3.2%
1 3
 
3.2%
6 2
 
2.2%
10 2
 
2.2%
17 1
 
1.1%
(Missing) 26
28.0%
ValueCountFrequency (%)
1 3
 
3.2%
2 31
33.3%
3 19
20.4%
4 6
 
6.5%
5 3
 
3.2%
6 2
 
2.2%
10 2
 
2.2%
17 1
 
1.1%
ValueCountFrequency (%)
17 1
 
1.1%
10 2
 
2.2%
6 2
 
2.2%
5 3
 
3.2%
4 6
 
6.5%
3 19
20.4%
2 31
33.3%
1 3
 
3.2%

아세틸렌수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
59 
<NA>
29 
0
 
3
2
 
2

Length

Max length4
Median length1
Mean length1.9354839
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 59
63.4%
<NA> 29
31.2%
0 3
 
3.2%
2 2
 
2.2%

Length

2024-05-11T05:57:55.730206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:56.257941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
63.4%
na 29
31.2%
0 3
 
3.2%
2 2
 
2.2%

치과용프레스수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
65 
<NA>
26 
2
 
2

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 65
69.9%
<NA> 26
 
28.0%
2 2
 
2.2%

Length

2024-05-11T05:57:56.788190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:57.198755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 65
69.9%
na 26
 
28.0%
2 2
 
2.2%

전기로수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
54 
<NA>
26 
2
9 
3
 
3
4
 
1

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
58.1%
<NA> 26
28.0%
2 9
 
9.7%
3 3
 
3.2%
4 1
 
1.1%

Length

2024-05-11T05:57:57.881581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:58.371404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
58.1%
na 26
28.0%
2 9
 
9.7%
3 3
 
3.2%
4 1
 
1.1%

포셀린로수
Categorical

Distinct5
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
54 
<NA>
26 
2
9 
3
 
3
5
 
1

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 54
58.1%
<NA> 26
28.0%
2 9
 
9.7%
3 3
 
3.2%
5 1
 
1.1%

Length

2024-05-11T05:57:59.037425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:57:59.540051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 54
58.1%
na 26
28.0%
2 9
 
9.7%
3 3
 
3.2%
5 1
 
1.1%

초음파청소기수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
62 
<NA>
26 
2
 
5

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 62
66.7%
<NA> 26
28.0%
2 5
 
5.4%

Length

2024-05-11T05:58:00.282565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:00.817433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 62
66.7%
na 26
28.0%
2 5
 
5.4%

서베이어수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
60 
<NA>
26 
2
 
5
3
 
2

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 60
64.5%
<NA> 26
28.0%
2 5
 
5.4%
3 2
 
2.2%

Length

2024-05-11T05:58:01.446279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:01.968744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
64.5%
na 26
28.0%
2 5
 
5.4%
3 2
 
2.2%

진동기수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
62 
<NA>
26 
2
 
5

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 62
66.7%
<NA> 26
28.0%
2 5
 
5.4%

Length

2024-05-11T05:58:02.688671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:03.177594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 62
66.7%
na 26
28.0%
2 5
 
5.4%

트리머수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
63 
<NA>
26 
2
 
4

Length

Max length4
Median length1
Mean length1.8387097
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 63
67.7%
<NA> 26
28.0%
2 4
 
4.3%

Length

2024-05-11T05:58:03.551664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:03.885611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 63
67.7%
na 26
28.0%
2 4
 
4.3%

기공용컴프레서수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
59 
<NA>
31 
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 59
63.4%
<NA> 31
33.3%
2 2
 
2.2%
3 1
 
1.1%

Length

2024-05-11T05:58:04.329223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:04.705485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 59
63.4%
na 31
33.3%
2 2
 
2.2%
3 1
 
1.1%

샌드기수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
50 
<NA>
31 
2
11 
3
 
1

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 50
53.8%
<NA> 31
33.3%
2 11
 
11.8%
3 1
 
1.1%

Length

2024-05-11T05:58:05.102420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:05.445376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 50
53.8%
na 31
33.3%
2 11
 
11.8%
3 1
 
1.1%

진공매몰기수
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
60 
<NA>
31 
2
 
2

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 60
64.5%
<NA> 31
33.3%
2 2
 
2.2%

Length

2024-05-11T05:58:05.937833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:06.448436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
64.5%
na 31
33.3%
2 2
 
2.2%

핀덱스수
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
57 
<NA>
31 
2
 
3
0
 
2

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 57
61.3%
<NA> 31
33.3%
2 3
 
3.2%
0 2
 
2.2%

Length

2024-05-11T05:58:06.922528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:58:07.231566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 57
61.3%
na 31
33.3%
2 3
 
3.2%
0 2
 
2.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)기공용레스수원심주조기수기공용모터수아세틸렌수치과용프레스수전기로수포셀린로수초음파청소기수서베이어수진동기수트리머수기공용컴프레서수샌드기수진공매몰기수핀덱스수
03160000PHMB31986316003406230000119860311<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2687-0484<NA><NA>서울특별시 구로구 개봉동 403번지 117호 ,3층서울특별시 구로구 개봉로 47, 3층 (개봉동)8348메디칼치과기공소2019-01-08 11:08:45U2019-01-10 02:40:00.0<NA>187186.449789443082.115598112111111111111
13160000PHMB31992316003406230000119920616<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2686-1323<NA><NA>서울특별시 구로구 고척동 271번지 188호 ,3층서울특별시 구로구 경인로35길 131-23, 3층 (고척동)8234덴탈앤코치과기공소2019-01-24 14:08:59U2019-01-26 02:40:00.0<NA>186787.29019444364.277923112111111111111
23160000PHMB31997316003406230000119970709<NA>3폐업3폐업20200811<NA><NA><NA>02-2637-9337<NA><NA>서울특별시 구로구 신도림동 293번지 40호 ,3층서울특별시 구로구 신도림로11라길 22, 3층 (신도림동)8203삼성치과기공소2020-08-11 11:43:42U2020-08-13 02:40:00.0<NA>189256.985957445319.934041112111111111111
33160000PHMB31999316003406230000119991123<NA>1영업/정상13영업중<NA><NA><NA><NA>02-867-2191<NA><NA>서울특별시 구로구 구로동 197번지 17호 에이스테크노타워1차 709호서울특별시 구로구 디지털로31길 38-9, 에이스테크노타워1차 709호 (구로동)8376대화치과기공소2019-04-15 11:05:14U2019-04-17 02:40:00.0<NA>190496.447847442645.330574112111111111111
43160000PHMB31999316003406230000219991217<NA>3폐업3폐업20210518<NA><NA><NA>02-830-7637<NA><NA>서울특별시 구로구 구로동 486번지 10호서울특별시 구로구 구로동로 216 (구로동)8280한우리치과기공소2021-05-18 11:25:54U2021-05-20 02:40:00.0<NA>189557.849566443971.020303112111111111111
53160000PHMB32000316003406230000120000129<NA>3폐업3폐업20200729<NA><NA><NA>02-2617-2802<NA><NA>서울특별시 구로구 고척동 259번지 2호서울특별시 구로구 고척로 152-5, 2층 (고척동)8234우신덴텍치과기공소2020-07-29 14:16:38U2020-07-31 02:40:00.0<NA>186749.351162444533.926945112112111111111
63160000PHMB32000316003406230000220000508<NA>1영업/정상13영업중<NA><NA><NA><NA>02-838-9121<NA><NA>서울특별시 구로구 구로동 503번지 3호 효진빌딩 3층서울특별시 구로구 구로동로42길 73, 효진빌딩 3층 (구로동)8280효진치과기공소2021-09-01 11:12:00U2021-09-03 02:40:00.0<NA>189663.450284444081.122295112111111111111
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