Overview

Dataset statistics

Number of variables8
Number of observations97
Missing cells36
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory66.4 B

Variable types

Numeric1
Categorical1
Text5
DateTime1

Dataset

Description대전광역시 서구 관내 직업소개소 현황(유료 및 무료, 사업소명, 인허가 번호, 사업소 전화, 대표자명, 등록일자)- 연락처가 휴대폰번호인 경우 개인정보보호를 위해 미기재
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15028192/fileData.do

Alerts

구분 is highly imbalanced (62.6%)Imbalance
사업소전화번호 has 36 (37.1%) missing valuesMissing
순번 has unique valuesUnique
사업소명 has unique valuesUnique
인허가번호 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:55:45.404716
Analysis finished2023-12-11 22:55:46.495387
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-12T07:55:46.562289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.8
Q125
median49
Q373
95-th percentile92.2
Maximum97
Range96
Interquartile range (IQR)48

Descriptive statistics

Standard deviation28.145456
Coefficient of variation (CV)0.57439705
Kurtosis-1.2
Mean49
Median Absolute Deviation (MAD)24
Skewness0
Sum4753
Variance792.16667
MonotonicityStrictly increasing
2023-12-12T07:55:46.711671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
74 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (87) 87
89.7%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
유료
90 
무료
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 90
92.8%
무료 7
 
7.2%

Length

2023-12-12T07:55:46.833450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:55:46.912082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 90
92.8%
무료 7
 
7.2%

사업소명
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T07:55:47.086560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length6.9896907
Min length2

Characters and Unicode

Total characters678
Distinct characters198
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

Unique97 ?
Unique (%)100.0%

Sample

1st row개미인력 대전서구점
2nd row정도 전공사
3rd row주식회사 비전월드
4th row더든든여성인력센터
5th row태백인력개발공사
ValueCountFrequency (%)
주식회사 3
 
2.4%
인력 2
 
1.6%
전공사 2
 
1.6%
산후도우미 2
 
1.6%
개미인력 1
 
0.8%
천지인력 1
 
0.8%
좋은일자리센터 1
 
0.8%
금성인력공사 1
 
0.8%
보람인력 1
 
0.8%
대창인력 1
 
0.8%
Other values (108) 108
87.8%
2023-12-12T07:55:47.419277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 58
 
8.6%
력 58
 
8.6%
사 31
 
4.6%
26
 
3.8%
공 20
 
2.9%
대 20
 
2.9%
전 19
 
2.8%
개 15
 
2.2%
소 13
 
1.9%
회 9
 
1.3%
Other values (188) 409
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 607
89.5%
Space Separator 26
 
3.8%
Lowercase Letter 13
 
1.9%
Uppercase Letter 10
 
1.5%
Open Punctuation 8
 
1.2%
Close Punctuation 8
 
1.2%
Other Punctuation 3
 
0.4%
Decimal Number 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 58
 
9.6%
력 58
 
9.6%
사 31
 
5.1%
공 20
 
3.3%
대 20
 
3.3%
전 19
 
3.1%
개 15
 
2.5%
소 13
 
2.1%
회 9
 
1.5%
발 9
 
1.5%
Other values (163) 355
58.5%
Lowercase Letter
ValueCountFrequency (%)
h 2
15.4%
o 2
15.4%
l 2
15.4%
a 1
7.7%
g 1
7.7%
i 1
7.7%
e 1
7.7%
b 1
7.7%
r 1
7.7%
p 1
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
20.0%
D 2
20.0%
K 1
10.0%
Y 1
10.0%
P 1
10.0%
G 1
10.0%
H 1
10.0%
T 1
10.0%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
3 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
89.5%
Common 48
 
7.1%
Latin 23
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 58
 
9.6%
력 58
 
9.6%
사 31
 
5.1%
공 20
 
3.3%
대 20
 
3.3%
전 19
 
3.1%
개 15
 
2.5%
소 13
 
2.1%
회 9
 
1.5%
발 9
 
1.5%
Other values (163) 355
58.5%
Latin
ValueCountFrequency (%)
h 2
 
8.7%
o 2
 
8.7%
C 2
 
8.7%
D 2
 
8.7%
l 2
 
8.7%
K 1
 
4.3%
Y 1
 
4.3%
P 1
 
4.3%
a 1
 
4.3%
G 1
 
4.3%
Other values (8) 8
34.8%
Common
ValueCountFrequency (%)
26
54.2%
( 8
 
16.7%
) 8
 
16.7%
. 3
 
6.2%
7 1
 
2.1%
3 1
 
2.1%
2 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 607
89.5%
ASCII 71
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 58
 
9.6%
력 58
 
9.6%
사 31
 
5.1%
공 20
 
3.3%
대 20
 
3.3%
전 19
 
3.1%
개 15
 
2.5%
소 13
 
2.1%
회 9
 
1.5%
발 9
 
1.5%
Other values (163) 355
58.5%
ASCII
ValueCountFrequency (%)
26
36.6%
( 8
 
11.3%
) 8
 
11.3%
. 3
 
4.2%
h 2
 
2.8%
o 2
 
2.8%
C 2
 
2.8%
D 2
 
2.8%
l 2
 
2.8%
K 1
 
1.4%
Other values (15) 15
21.1%

인허가번호
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T07:55:47.624079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters2231
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

Unique97 ?
Unique (%)100.0%

Sample

1st row2023-3660215-14-5-00025
2nd row2023-3660215-14-5-00024
3rd row2023-3660215-14-5-00023
4th row2023-3660215-14-5-00022
5th row2023-3660215-14-5-00021
ValueCountFrequency (%)
2023-3660215-14-5-00025 1
 
1.0%
2018-3660134-14-5-00006 1
 
1.0%
2023-3660215-14-5-00003 1
 
1.0%
2012-3660123-14-5-00012 1
 
1.0%
2012-3660123-14-5-00013 1
 
1.0%
2012-3660123-14-5-00016 1
 
1.0%
2013-3660140-14-5-00001 1
 
1.0%
2014-3660134-14-5-00003 1
 
1.0%
2014-3660134-14-5-00014 1
 
1.0%
2023-3660215-14-5-00001 1
 
1.0%
Other values (87) 87
89.7%
2023-12-12T07:55:47.946509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 623
27.9%
- 388
17.4%
1 288
12.9%
6 231
 
10.4%
2 208
 
9.3%
3 157
 
7.0%
5 133
 
6.0%
4 126
 
5.6%
9 43
 
1.9%
8 17
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1843
82.6%
Dash Punctuation 388
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 623
33.8%
1 288
15.6%
6 231
 
12.5%
2 208
 
11.3%
3 157
 
8.5%
5 133
 
7.2%
4 126
 
6.8%
9 43
 
2.3%
8 17
 
0.9%
7 17
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 623
27.9%
- 388
17.4%
1 288
12.9%
6 231
 
10.4%
2 208
 
9.3%
3 157
 
7.0%
5 133
 
6.0%
4 126
 
5.6%
9 43
 
1.9%
8 17
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 623
27.9%
- 388
17.4%
1 288
12.9%
6 231
 
10.4%
2 208
 
9.3%
3 157
 
7.0%
5 133
 
6.0%
4 126
 
5.6%
9 43
 
1.9%
8 17
 
0.8%

사업소도로명주소
Text

Distinct96
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T07:55:48.249125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length29.649485
Min length20

Characters and Unicode

Total characters2876
Distinct characters131
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

Unique95 ?
Unique (%)97.9%

Sample

1st row대전광역시 서구 둔산로240번길 19. 101호 (둔산동)
2nd row대전광역시 서구 갈마중로7번길 42. 204호 (갈마동. 동산맨션)
3rd row대전광역시 서구 둔지로 48. RM둔산빌딩 503호 (둔산동)
4th row대전광역시 서구 벌곡로1353번길 33 (가수원동)
5th row대전광역시 서구 동서대로 1035. 1층 (내동)
ValueCountFrequency (%)
대전광역시 97
 
16.2%
서구 97
 
16.2%
2층 19
 
3.2%
도산로 18
 
3.0%
갈마동 15
 
2.5%
도마동 14
 
2.3%
둔산동 11
 
1.8%
월평동 9
 
1.5%
1층 8
 
1.3%
계룡로 8
 
1.3%
Other values (204) 302
50.5%
2023-12-12T07:55:48.751261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
501
 
17.4%
대 122
 
4.2%
동 111
 
3.9%
서 105
 
3.7%
1 103
 
3.6%
전 99
 
3.4%
역 98
 
3.4%
( 97
 
3.4%
광 97
 
3.4%
시 97
 
3.4%
Other values (121) 1446
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1580
54.9%
Space Separator 501
 
17.4%
Decimal Number 493
 
17.1%
Open Punctuation 97
 
3.4%
Close Punctuation 97
 
3.4%
Other Punctuation 85
 
3.0%
Dash Punctuation 13
 
0.5%
Uppercase Letter 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 122
 
7.7%
동 111
 
7.0%
서 105
 
6.6%
전 99
 
6.3%
역 98
 
6.2%
광 97
 
6.1%
시 97
 
6.1%
구 97
 
6.1%
로 94
 
5.9%
마 45
 
2.8%
Other values (97) 615
38.9%
Decimal Number
ValueCountFrequency (%)
1 103
20.9%
2 87
17.6%
3 55
11.2%
0 54
11.0%
4 38
 
7.7%
6 36
 
7.3%
5 34
 
6.9%
7 33
 
6.7%
9 29
 
5.9%
8 24
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
L 2
20.0%
R 1
10.0%
K 1
10.0%
M 1
10.0%
S 1
10.0%
Y 1
10.0%
V 1
10.0%
I 1
10.0%
E 1
10.0%
Space Separator
ValueCountFrequency (%)
501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Other Punctuation
ValueCountFrequency (%)
. 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1580
54.9%
Common 1286
44.7%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 122
 
7.7%
동 111
 
7.0%
서 105
 
6.6%
전 99
 
6.3%
역 98
 
6.2%
광 97
 
6.1%
시 97
 
6.1%
구 97
 
6.1%
로 94
 
5.9%
마 45
 
2.8%
Other values (97) 615
38.9%
Common
ValueCountFrequency (%)
501
39.0%
1 103
 
8.0%
( 97
 
7.5%
) 97
 
7.5%
2 87
 
6.8%
. 85
 
6.6%
3 55
 
4.3%
0 54
 
4.2%
4 38
 
3.0%
6 36
 
2.8%
Other values (5) 133
 
10.3%
Latin
ValueCountFrequency (%)
L 2
20.0%
R 1
10.0%
K 1
10.0%
M 1
10.0%
S 1
10.0%
Y 1
10.0%
V 1
10.0%
I 1
10.0%
E 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1580
54.9%
ASCII 1296
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
501
38.7%
1 103
 
7.9%
( 97
 
7.5%
) 97
 
7.5%
2 87
 
6.7%
. 85
 
6.6%
3 55
 
4.2%
0 54
 
4.2%
4 38
 
2.9%
6 36
 
2.8%
Other values (14) 143
 
11.0%
Hangul
ValueCountFrequency (%)
대 122
 
7.7%
동 111
 
7.0%
서 105
 
6.6%
전 99
 
6.3%
역 98
 
6.2%
광 97
 
6.1%
시 97
 
6.1%
구 97
 
6.1%
로 94
 
5.9%
마 45
 
2.8%
Other values (97) 615
38.9%

사업소전화번호
Text

MISSING 

Distinct61
Distinct (%)100.0%
Missing36
Missing (%)37.1%
Memory size908.0 B
2023-12-12T07:55:48.985136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016393
Min length12

Characters and Unicode

Total characters733
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

Unique61 ?
Unique (%)100.0%

Sample

1st row042-471-4691
2nd row042-527-5553
3rd row070-5029-7959
4th row042-485-7775
5th row042-335-3575
ValueCountFrequency (%)
042-253-9280 1
 
1.6%
042-531-5125 1
 
1.6%
042-254-8477 1
 
1.6%
042-480-3042 1
 
1.6%
042-472-7166 1
 
1.6%
042-828-3007 1
 
1.6%
042-534-7718 1
 
1.6%
042-531-0804 1
 
1.6%
042-541-1733 1
 
1.6%
042-536-1199 1
 
1.6%
Other values (53) 53
84.1%
2023-12-12T07:55:49.362261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
16.4%
2 112
15.3%
0 106
14.5%
4 106
14.5%
5 71
9.7%
3 53
7.2%
1 45
 
6.1%
8 38
 
5.2%
7 34
 
4.6%
6 27
 
3.7%
Other values (2) 21
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 611
83.4%
Dash Punctuation 120
 
16.4%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 112
18.3%
0 106
17.3%
4 106
17.3%
5 71
11.6%
3 53
8.7%
1 45
7.4%
8 38
 
6.2%
7 34
 
5.6%
6 27
 
4.4%
9 19
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 733
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
16.4%
2 112
15.3%
0 106
14.5%
4 106
14.5%
5 71
9.7%
3 53
7.2%
1 45
 
6.1%
8 38
 
5.2%
7 34
 
4.6%
6 27
 
3.7%
Other values (2) 21
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 733
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
16.4%
2 112
15.3%
0 106
14.5%
4 106
14.5%
5 71
9.7%
3 53
7.2%
1 45
 
6.1%
8 38
 
5.2%
7 34
 
4.6%
6 27
 
3.7%
Other values (2) 21
 
2.9%

대표자명
Text

UNIQUE 

Distinct97
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T07:55:49.734379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters291
Distinct characters103
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row이다빈
2nd row이진영
3rd row윤소진
4th row손선희
5th row최선만
ValueCountFrequency (%)
이다빈 1
 
1.0%
김현태 1
 
1.0%
김명희 1
 
1.0%
김철주 1
 
1.0%
김지현 1
 
1.0%
정태희 1
 
1.0%
손천수 1
 
1.0%
강봉각 1
 
1.0%
오은아 1
 
1.0%
최상인 1
 
1.0%
Other values (87) 87
89.7%
2023-12-12T07:55:50.204376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 17
 
5.8%
정 14
 
4.8%
이 9
 
3.1%
최 8
 
2.7%
진 7
 
2.4%
조 7
 
2.4%
희 7
 
2.4%
강 6
 
2.1%
순 6
 
2.1%
성 6
 
2.1%
Other values (93) 204
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 17
 
5.8%
정 14
 
4.8%
이 9
 
3.1%
최 8
 
2.7%
진 7
 
2.4%
조 7
 
2.4%
희 7
 
2.4%
강 6
 
2.1%
순 6
 
2.1%
성 6
 
2.1%
Other values (93) 204
70.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 17
 
5.8%
정 14
 
4.8%
이 9
 
3.1%
최 8
 
2.7%
진 7
 
2.4%
조 7
 
2.4%
희 7
 
2.4%
강 6
 
2.1%
순 6
 
2.1%
성 6
 
2.1%
Other values (93) 204
70.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 17
 
5.8%
정 14
 
4.8%
이 9
 
3.1%
최 8
 
2.7%
진 7
 
2.4%
조 7
 
2.4%
희 7
 
2.4%
강 6
 
2.1%
순 6
 
2.1%
성 6
 
2.1%
Other values (93) 204
70.1%

등록일자
Date

Distinct94
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum1998-05-12 00:00:00
Maximum2023-11-29 00:00:00
2023-12-12T07:55:50.363232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:55:50.509474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T07:55:46.246648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:55:50.636088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분사업소명인허가번호사업소도로명주소사업소전화번호대표자명등록일자
순번1.0000.0001.0001.0001.0001.0001.0001.000
구분0.0001.0001.0001.0001.0001.0001.0001.000
사업소명1.0001.0001.0001.0001.0001.0001.0001.000
인허가번호1.0001.0001.0001.0001.0001.0001.0001.000
사업소도로명주소1.0001.0001.0001.0001.0001.0001.0000.997
사업소전화번호1.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0001.0000.9971.0001.0001.000
2023-12-12T07:55:50.746206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.000
구분0.0001.000

Missing values

2023-12-12T07:55:46.341013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:55:46.453963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번구분사업소명인허가번호사업소도로명주소사업소전화번호대표자명등록일자
01유료개미인력 대전서구점2023-3660215-14-5-00025대전광역시 서구 둔산로240번길 19. 101호 (둔산동)<NA>이다빈2023-11-29
12유료정도 전공사2023-3660215-14-5-00024대전광역시 서구 갈마중로7번길 42. 204호 (갈마동. 동산맨션)<NA>이진영2023-11-29
23유료주식회사 비전월드2023-3660215-14-5-00023대전광역시 서구 둔지로 48. RM둔산빌딩 503호 (둔산동)042-471-4691윤소진2023-11-23
34유료더든든여성인력센터2023-3660215-14-5-00022대전광역시 서구 벌곡로1353번길 33 (가수원동)<NA>손선희2023-11-21
45유료태백인력개발공사2023-3660215-14-5-00021대전광역시 서구 동서대로 1035. 1층 (내동)<NA>최선만2023-10-27
56유료세계인력2023-3660215-14-5-00020대전광역시 서구 동서대로 1008. 2층 (내동)<NA>신동의2023-10-18
67유료휴버트코리아잡2023-3660215-14-5-00018대전광역시 서구 대덕대로233번길 28. 국제빌딩 601호 (둔산동)<NA>천성철2023-09-15
78유료롯데인력2023-3660215-14-5-00017대전광역시 서구 도솔로 389. 2층 (괴정동)<NA>안문기2023-09-06
89유료티에스오2023-3660215-14-5-00014대전광역시 서구 대덕대로317번길 20. 선사엔조이 3층 339호 (월평동)<NA>박정환2023-08-08
910유료둔산여성인력센터2023-3660215-14-5-00012대전광역시 서구 대덕대로 325. 스타게이트씨네몰 8층 24호 (월평동)<NA>김다솜2023-08-08
순번구분사업소명인허가번호사업소도로명주소사업소전화번호대표자명등록일자
8788유료월드인력공사2002-3660046-11-5-00014대전광역시 서구 도산로 292-2 (가장동)042-523-2260황기진2002-09-05
8889유료금줄베이비시터코리아2002-3660046-11-5-00015대전광역시 서구 둔산북로 121. 1408호 (둔산동. 아너스빌오피스텔)042-486-5331명정희2002-09-05
8990유료서부인력공사2001-3660046-11-5-00004대전광역시 서구 도산로 97-1 (도마동)042-526-0301임장수2001-07-06
9091유료(주)가사원2001-3660046-11-5-00010대전광역시 서구 도산로 57. 2층 (도마동)042-586-9507정해창2001-06-11
9192유료대도인력2000-3660046-11-5-00005대전광역시 서구 신갈마로 224 (갈마동)042-482-7460윤순국2000-09-30
9293유료소망여성인력2000-3660046-11-5-00004대전광역시 서구 도산로 92-1 (도마동)042-535-2588유순옥2000-08-02
9394유료성원인력공사2000-3660046-11-5-00002대전광역시 서구 도산로 92-1 (도마동)042-531-4453김명원2000-07-29
9495무료둔산종합사회복지관2000-3660093-11-2-00002대전광역시 서구 둔산로 241 (둔산동)042-482-2032고내봉2000-06-03
9596유료대전의료부2010-3660109-14-5-00007대전광역시 서구 대덕대로 150. 102호 (갈마동. 큰마을아파트)042-254-8477송상헌1998-05-23
9697유료둔산인력공사1998-3660046-11-5-00002대전광역시 서구 계룡로536번길 9. 상가동 3층 302호 (괴정동. 한신아파트)042-533-2300노일남1998-05-12