Overview

Dataset statistics

Number of variables11
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory94.7 B

Variable types

Text4
Numeric2
DateTime2
Categorical3

Dataset

Description직업소개소(업체명, 소재지도로명주소, 소재지지번주소, 위도, 경도, 연락처, 등록일자, 관리기관명, 관리기관연락처 등) 정보 공개
URLhttps://www.data.go.kr/data/3080807/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
비고 is highly imbalanced (77.8%)Imbalance
업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:12:39.098215
Analysis finished2023-12-12 12:12:40.089213
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T21:12:40.242320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.8928571
Min length4

Characters and Unicode

Total characters193
Distinct characters81
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st rowTH종합건축인력
2nd row강남직업소개소
3rd row경기동두천인력직업소개소
4th row공감인력직업소개소
5th row대한노인회동두천시지회 노인취업지원센터
ValueCountFrequency (%)
th종합건축인력 1
 
3.2%
job 1
 
3.2%
해성인력 1
 
3.2%
형제인력 1
 
3.2%
현대개발 1
 
3.2%
하나인력 1
 
3.2%
터미널직업소개소 1
 
3.2%
태화직업소개소 1
 
3.2%
타이거인력공사 1
 
3.2%
칭송인력직업소개소 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T21:12:40.591462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 21
 
10.9%
인 19
 
9.8%
력 17
 
8.8%
개 12
 
6.2%
업 11
 
5.7%
직 10
 
5.2%
동 6
 
3.1%
두 3
 
1.6%
회 3
 
1.6%
천 3
 
1.6%
Other values (71) 88
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
94.8%
Uppercase Letter 5
 
2.6%
Space Separator 3
 
1.6%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 21
 
11.5%
인 19
 
10.4%
력 17
 
9.3%
개 12
 
6.6%
업 11
 
6.0%
직 10
 
5.5%
동 6
 
3.3%
두 3
 
1.6%
회 3
 
1.6%
천 3
 
1.6%
Other values (63) 78
42.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
O 1
20.0%
B 1
20.0%
J 1
20.0%
H 1
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
94.8%
Common 5
 
2.6%
Latin 5
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 21
 
11.5%
인 19
 
10.4%
력 17
 
9.3%
개 12
 
6.6%
업 11
 
6.0%
직 10
 
5.5%
동 6
 
3.3%
두 3
 
1.6%
회 3
 
1.6%
천 3
 
1.6%
Other values (63) 78
42.6%
Latin
ValueCountFrequency (%)
T 1
20.0%
O 1
20.0%
B 1
20.0%
J 1
20.0%
H 1
20.0%
Common
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
94.8%
ASCII 10
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 21
 
11.5%
인 19
 
10.4%
력 17
 
9.3%
개 12
 
6.6%
업 11
 
6.0%
직 10
 
5.5%
동 6
 
3.3%
두 3
 
1.6%
회 3
 
1.6%
천 3
 
1.6%
Other values (63) 78
42.6%
ASCII
ValueCountFrequency (%)
3
30.0%
T 1
 
10.0%
O 1
 
10.0%
B 1
 
10.0%
J 1
 
10.0%
( 1
 
10.0%
) 1
 
10.0%
H 1
 
10.0%

소재지도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T21:12:40.813149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.214286
Min length15

Characters and Unicode

Total characters482
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row경기도 동두천시 평화로 2450
2nd row경기도 동두천시 지행로 107
3rd row경기도 동두천시 평화로 2400
4th row경기도 동두천시 평화로 2330
5th row경기도 동두천시 동두천로 264
ValueCountFrequency (%)
경기도 28
25.0%
동두천시 28
25.0%
평화로 13
11.6%
중앙로 7
 
6.2%
동광로 2
 
1.8%
동두천로 2
 
1.8%
2444-3 1
 
0.9%
322 1
 
0.9%
2390 1
 
0.9%
229 1
 
0.9%
Other values (28) 28
25.0%
2023-12-12T21:12:41.209095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
17.4%
동 32
 
6.6%
2 30
 
6.2%
두 30
 
6.2%
천 30
 
6.2%
시 29
 
6.0%
경 28
 
5.8%
도 28
 
5.8%
기 28
 
5.8%
로 28
 
5.8%
Other values (23) 135
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
59.5%
Decimal Number 104
 
21.6%
Space Separator 84
 
17.4%
Dash Punctuation 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 32
11.1%
두 30
10.5%
천 30
10.5%
시 29
10.1%
경 28
9.8%
도 28
9.8%
기 28
9.8%
로 28
9.8%
화 13
4.5%
평 13
4.5%
Other values (11) 28
9.8%
Decimal Number
ValueCountFrequency (%)
2 30
28.8%
4 14
13.5%
3 12
 
11.5%
5 9
 
8.7%
6 9
 
8.7%
0 8
 
7.7%
1 8
 
7.7%
7 6
 
5.8%
8 5
 
4.8%
9 3
 
2.9%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
59.5%
Common 195
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 32
11.1%
두 30
10.5%
천 30
10.5%
시 29
10.1%
경 28
9.8%
도 28
9.8%
기 28
9.8%
로 28
9.8%
화 13
4.5%
평 13
4.5%
Other values (11) 28
9.8%
Common
ValueCountFrequency (%)
84
43.1%
2 30
 
15.4%
4 14
 
7.2%
3 12
 
6.2%
5 9
 
4.6%
6 9
 
4.6%
0 8
 
4.1%
1 8
 
4.1%
- 7
 
3.6%
7 6
 
3.1%
Other values (2) 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
59.5%
ASCII 195
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
43.1%
2 30
 
15.4%
4 14
 
7.2%
3 12
 
6.2%
5 9
 
4.6%
6 9
 
4.6%
0 8
 
4.1%
1 8
 
4.1%
- 7
 
3.6%
7 6
 
3.1%
Other values (2) 8
 
4.1%
Hangul
ValueCountFrequency (%)
동 32
11.1%
두 30
10.5%
천 30
10.5%
시 29
10.1%
경 28
9.8%
도 28
9.8%
기 28
9.8%
로 28
9.8%
화 13
4.5%
평 13
4.5%
Other values (11) 28
9.8%

소재지지번주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T21:12:41.478408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length18.642857
Min length18

Characters and Unicode

Total characters522
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row경기도 동두천시 생연동 481-16
2nd row경기도 동두천시 지행동 289-1
3rd row경기도 동두천시 생연동 426-15
4th row경기도 동두천시 지행동 275-17
5th row경기도 동두천시 생연동 643-3
ValueCountFrequency (%)
경기도 28
25.0%
동두천시 28
25.0%
생연동 25
22.3%
지행동 2
 
1.8%
491-12 1
 
0.9%
488-26 1
 
0.9%
424-17 1
 
0.9%
689-5 1
 
0.9%
567-1 1
 
0.9%
675-7 1
 
0.9%
Other values (23) 23
20.5%
2023-12-12T21:12:41.870642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84
16.1%
동 57
 
10.9%
두 29
 
5.6%
천 29
 
5.6%
경 28
 
5.4%
기 28
 
5.4%
도 28
 
5.4%
시 28
 
5.4%
- 28
 
5.4%
연 25
 
4.8%
Other values (13) 158
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
53.8%
Decimal Number 129
24.7%
Space Separator 84
 
16.1%
Dash Punctuation 28
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
20.3%
두 29
10.3%
천 29
10.3%
경 28
10.0%
기 28
10.0%
도 28
10.0%
시 28
10.0%
연 25
8.9%
생 25
8.9%
행 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
4 18
14.0%
1 18
14.0%
6 17
13.2%
2 17
13.2%
7 15
11.6%
5 13
10.1%
9 12
9.3%
3 10
7.8%
8 7
 
5.4%
0 2
 
1.6%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
53.8%
Common 241
46.2%

Most frequent character per script

Common
ValueCountFrequency (%)
84
34.9%
- 28
 
11.6%
4 18
 
7.5%
1 18
 
7.5%
6 17
 
7.1%
2 17
 
7.1%
7 15
 
6.2%
5 13
 
5.4%
9 12
 
5.0%
3 10
 
4.1%
Other values (2) 9
 
3.7%
Hangul
ValueCountFrequency (%)
동 57
20.3%
두 29
10.3%
천 29
10.3%
경 28
10.0%
기 28
10.0%
도 28
10.0%
시 28
10.0%
연 25
8.9%
생 25
8.9%
행 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
53.8%
ASCII 241
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84
34.9%
- 28
 
11.6%
4 18
 
7.5%
1 18
 
7.5%
6 17
 
7.1%
2 17
 
7.1%
7 15
 
6.2%
5 13
 
5.4%
9 12
 
5.0%
3 10
 
4.1%
Other values (2) 9
 
3.7%
Hangul
ValueCountFrequency (%)
동 57
20.3%
두 29
10.3%
천 29
10.3%
경 28
10.0%
기 28
10.0%
도 28
10.0%
시 28
10.0%
연 25
8.9%
생 25
8.9%
행 2
 
0.7%

위도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.089399
Minimum37.892586
Maximum127.05537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T21:12:42.042816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.892586
5-th percentile37.897115
Q137.902089
median37.905196
Q337.908751
95-th percentile37.921486
Maximum127.05537
Range89.162784
Interquartile range (IQR)0.0066624875

Descriptive statistics

Standard deviation16.847748
Coefficient of variation (CV)0.41002663
Kurtosis27.999992
Mean41.089399
Median Absolute Deviation (MAD)0.00333142
Skewness5.2915015
Sum1150.5032
Variance283.84661
MonotonicityNot monotonic
2023-12-12T21:12:42.240393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37.90645389 1
 
3.6%
37.90787756 1
 
3.6%
127.0553699 1
 
3.6%
37.91018408 1
 
3.6%
37.90596741 1
 
3.6%
37.90072086 1
 
3.6%
37.89997097 1
 
3.6%
37.90401271 1
 
3.6%
37.90828455 1
 
3.6%
37.90970462 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
37.89258613 1
3.6%
37.89557785 1
3.6%
37.89997097 1
3.6%
37.90072086 1
3.6%
37.90106274 1
3.6%
37.90115284 1
3.6%
37.90201413 1
3.6%
37.90211348 1
3.6%
37.90214273 1
3.6%
37.90329564 1
3.6%
ValueCountFrequency (%)
127.0553699 1
3.6%
37.92577099 1
3.6%
37.91352883 1
3.6%
37.91018408 1
3.6%
37.90970462 1
3.6%
37.90939626 1
3.6%
37.90916765 1
3.6%
37.90861229 1
3.6%
37.90844311 1
3.6%
37.90828455 1
3.6%

경도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.87266
Minimum37.909556
Maximum127.05918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T21:12:42.387381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.909556
5-th percentile127.05178
Q1127.05385
median127.05748
Q3127.05815
95-th percentile127.05855
Maximum127.05918
Range89.149625
Interquartile range (IQR)0.00430045

Descriptive statistics

Standard deviation16.847184
Coefficient of variation (CV)0.13600406
Kurtosis27.999999
Mean123.87266
Median Absolute Deviation (MAD)0.00100005
Skewness-5.2915025
Sum3468.4344
Variance283.82762
MonotonicityNot monotonic
2023-12-12T21:12:42.536434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
127.0583463 1
 
3.6%
127.0579881 1
 
3.6%
127.0585816 1
 
3.6%
37.90955625 1
 
3.6%
127.0582868 1
 
3.6%
127.0571638 1
 
3.6%
127.0577909 1
 
3.6%
127.0537916 1
 
3.6%
127.058466 1
 
3.6%
127.058085 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
37.90955625 1
3.6%
127.0511568 1
3.6%
127.0529283 1
3.6%
127.0529306 1
3.6%
127.0534461 1
3.6%
127.0535864 1
3.6%
127.0537916 1
3.6%
127.0538675 1
3.6%
127.0548417 1
3.6%
127.0557482 1
3.6%
ValueCountFrequency (%)
127.0591812 1
3.6%
127.0585816 1
3.6%
127.0584888 1
3.6%
127.058466 1
3.6%
127.0583463 1
3.6%
127.0582868 1
3.6%
127.0581699 1
3.6%
127.058142 1
3.6%
127.0581419 1
3.6%
127.0581119 1
3.6%

전화번호
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T21:12:42.770100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.107143
Min length7

Characters and Unicode

Total characters311
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)82.1%

Sample

1st row031-862-0482
2nd row031-857-9066
3rd row031-862-9389
4th row031-862-7755
5th row031-863-0125
ValueCountFrequency (%)
데이터 5
 
15.2%
미집계 5
 
15.2%
031-863-2323 1
 
3.0%
031-866-9909 1
 
3.0%
031-859-1066 1
 
3.0%
031-866-8272 1
 
3.0%
031-865-0482 1
 
3.0%
031-865-8777 1
 
3.0%
031-865-7932 1
 
3.0%
031-867-2121 1
 
3.0%
Other values (15) 15
45.5%
2023-12-12T21:12:43.183072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
14.8%
0 37
11.9%
3 34
10.9%
1 33
10.6%
8 31
10.0%
6 24
7.7%
2 21
6.8%
5 20
6.4%
9 14
 
4.5%
7 12
 
3.9%
Other values (8) 39
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
74.0%
Dash Punctuation 46
 
14.8%
Other Letter 30
 
9.6%
Space Separator 5
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
16.1%
3 34
14.8%
1 33
14.3%
8 31
13.5%
6 24
10.4%
2 21
9.1%
5 20
8.7%
9 14
 
6.1%
7 12
 
5.2%
4 4
 
1.7%
Other Letter
ValueCountFrequency (%)
계 5
16.7%
이 5
16.7%
집 5
16.7%
미 5
16.7%
터 5
16.7%
데 5
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 281
90.4%
Hangul 30
 
9.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.4%
0 37
13.2%
3 34
12.1%
1 33
11.7%
8 31
11.0%
6 24
8.5%
2 21
7.5%
5 20
7.1%
9 14
 
5.0%
7 12
 
4.3%
Other values (2) 9
 
3.2%
Hangul
ValueCountFrequency (%)
계 5
16.7%
이 5
16.7%
집 5
16.7%
미 5
16.7%
터 5
16.7%
데 5
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
90.4%
Hangul 30
 
9.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.4%
0 37
13.2%
3 34
12.1%
1 33
11.7%
8 31
11.0%
6 24
8.5%
2 21
7.5%
5 20
7.1%
9 14
 
5.0%
7 12
 
4.3%
Other values (2) 9
 
3.2%
Hangul
ValueCountFrequency (%)
계 5
16.7%
이 5
16.7%
집 5
16.7%
미 5
16.7%
터 5
16.7%
데 5
16.7%

등록일자
Date

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2005-05-02 00:00:00
Maximum2021-04-08 00:00:00
2023-12-12T21:12:43.374150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:43.567625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

비고
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
유료
27 
무료
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
유료 27
96.4%
무료 1
 
3.6%

Length

2023-12-12T21:12:43.740731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:43.881349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 27
96.4%
무료 1
 
3.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
경기도 동두천시청 일자리경제과
28 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 일자리경제과
2nd row경기도 동두천시청 일자리경제과
3rd row경기도 동두천시청 일자리경제과
4th row경기도 동두천시청 일자리경제과
5th row경기도 동두천시청 일자리경제과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 일자리경제과 28
100.0%

Length

2023-12-12T21:12:44.006116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:44.126709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 28
33.3%
동두천시청 28
33.3%
일자리경제과 28
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
031-860-2366
28 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2366
2nd row031-860-2366
3rd row031-860-2366
4th row031-860-2366
5th row031-860-2366

Common Values

ValueCountFrequency (%)
031-860-2366 28
100.0%

Length

2023-12-12T21:12:44.272482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:12:44.735505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2366 28
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T21:12:44.811552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:44.923399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:12:39.676397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:39.494716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:39.761847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:12:39.567331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:12:45.027629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명소재지도로명주소소재지지번주소위도경도전화번호등록일자비고
업체명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.0001.0000.0000.000
경도1.0001.0001.0000.0001.0000.0000.0000.000
전화번호1.0001.0001.0001.0000.0001.0000.9841.000
등록일자1.0001.0001.0000.0000.0000.9841.0001.000
비고1.0001.0001.0000.0000.0001.0001.0001.000
2023-12-12T21:12:45.172992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도비고
위도1.000-0.0650.000
경도-0.0651.0000.000
비고0.0000.0001.000

Missing values

2023-12-12T21:12:39.875163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:12:40.030726image/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

업체명소재지도로명주소소재지지번주소위도경도전화번호등록일자비고관리기관명관리기관전화번호데이터기준일자
0TH종합건축인력경기도 동두천시 평화로 2450경기도 동두천시 생연동 481-1637.906454127.058346031-862-04822015-09-21유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
1강남직업소개소경기도 동두천시 지행로 107경기도 동두천시 지행동 289-137.892586127.059181031-857-90662019-03-20유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
2경기동두천인력직업소개소경기도 동두천시 평화로 2400경기도 동두천시 생연동 426-1537.902014127.05817031-862-93892007-11-09유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
3공감인력직업소개소경기도 동두천시 평화로 2330경기도 동두천시 지행동 275-1737.895578127.058024031-862-77552013-07-15유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
4대한노인회동두천시지회 노인취업지원센터경기도 동두천시 동두천로 264경기도 동두천시 생연동 643-337.905168127.056212031-863-01252010-11-03무료경기도 동두천시청 일자리경제과031-860-23662023-06-30
5동두천 다해인력(직업소개소)경기도 동두천시 중앙로 311경기도 동두천시 생연동 611-9437.909396127.054842031-859-69592014-12-03유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
6동보인력개발경기도 동두천시 평화로 2665경기도 동두천시 동두천동 199-137.925771127.056505031-868-32302007-02-09유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
7동양인력경기도 동두천시 동광로 28경기도 동두천시 생연동 829-4037.908612127.051157031-862-21112015-03-12유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
8동연인력경기도 동두천시 동광로 87경기도 동두천시 생연동 491-2137.909168127.058112031-857-44992015-05-20유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
9명성파출경기도 동두천시 동두천로 265경기도 동두천시 생연동 644-237.905194127.055748031-863-50502011-06-01유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
업체명소재지도로명주소소재지지번주소위도경도전화번호등록일자비고관리기관명관리기관전화번호데이터기준일자
18채움간병협회경기도 동두천시 중앙로 357-16경기도 동두천시 생연동 567-137.913529127.056846031-865-79322017-07-20유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
19칭송인력직업소개소경기도 동두천시 어수로102번길 3경기도 동두천시 생연동 675-737.902113127.053867데이터 미집계2020-06-04유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
20타이거인력공사경기도 동두천시 평화로 2485경기도 동두천시 생연동 491-1237.909705127.058085데이터 미집계2019-07-11유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
21태화직업소개소경기도 동두천시 평화로 2468-2경기도 동두천시 생연동 477-737.908285127.058466데이터 미집계2016-06-07유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
22터미널직업소개소경기도 동두천시 중앙로 252-1경기도 동두천시 생연동 665-2337.904013127.053792031-865-87772005-05-02유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
23하나인력경기도 동두천시 평화로 2377경기도 동두천시 생연동 730-3537.899971127.057791031-865-04822017-01-12유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
24현대개발경기도 동두천시 큰시장로 6경기도 동두천시 생연동 725-337.900721127.057164031-866-82722016-07-29유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
25형제인력경기도 동두천시 평화로 2444-3경기도 동두천시 생연동 482-937.905967127.058287031-859-10662019-03-13유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
26해성인력경기도 동두천시 중앙로 322경기도 동두천시 생연동 555-3337.91018437.909556데이터 미집계2021-04-08유료경기도 동두천시청 일자리경제과031-860-23662023-06-30
27희망인력경기도 동두천시 평화로 2484경기도 동두천시 생연동 497-12127.05537127.058582031-861-08522021-04-08유료경기도 동두천시청 일자리경제과031-860-23662023-06-30