Overview

Dataset statistics

Number of variables7
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory62.9 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description부산광역시 고용 우수기업 인증 현황에 대한 데이터로 순번, 기업명, 주업종, 도로명주소, 위도, 경도, 인증연도 항목 정보를 제공합니다. * 인증연도부터 3년간 유효함
URLhttps://www.data.go.kr/data/15088940/fileData.do

Alerts

순번 is highly overall correlated with 인증연도High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
인증연도 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
기업명 has unique valuesUnique
주업종 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:02:31.533978
Analysis finished2023-12-12 15:02:33.190777
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T00:02:33.253026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-13T00:02:33.376505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

기업명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T00:02:33.570339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7
Min length3

Characters and Unicode

Total characters315
Distinct characters118
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row의료법인온그룹의료재단
2nd row(주)늘푸른바다
3rd row(주)태상
4th row영도산업(주)
5th row이샘병원
ValueCountFrequency (%)
주식회사 5
 
10.0%
의료법인온그룹의료재단 1
 
2.0%
주)무스마 1
 
2.0%
㈜씨넷 1
 
2.0%
㈜라스텍 1
 
2.0%
㈜케이시스 1
 
2.0%
㈜루메나 1
 
2.0%
㈜세기정밀 1
 
2.0%
주)니더 1
 
2.0%
주)동성모터스 1
 
2.0%
Other values (36) 36
72.0%
2023-12-13T00:02:33.857036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 28
 
8.9%
( 23
 
7.3%
) 23
 
7.3%
㈜ 15
 
4.8%
이 13
 
4.1%
스 8
 
2.5%
에 6
 
1.9%
지 6
 
1.9%
식 5
 
1.6%
회 5
 
1.6%
Other values (108) 183
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
79.0%
Open Punctuation 23
 
7.3%
Close Punctuation 23
 
7.3%
Other Symbol 15
 
4.8%
Space Separator 5
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
11.2%
이 13
 
5.2%
스 8
 
3.2%
에 6
 
2.4%
지 6
 
2.4%
식 5
 
2.0%
회 5
 
2.0%
씨 5
 
2.0%
사 5
 
2.0%
코 4
 
1.6%
Other values (104) 164
65.9%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 15
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 264
83.8%
Common 51
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
10.6%
㈜ 15
 
5.7%
이 13
 
4.9%
스 8
 
3.0%
에 6
 
2.3%
지 6
 
2.3%
식 5
 
1.9%
회 5
 
1.9%
씨 5
 
1.9%
사 5
 
1.9%
Other values (105) 168
63.6%
Common
ValueCountFrequency (%)
( 23
45.1%
) 23
45.1%
5
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
79.0%
ASCII 51
 
16.2%
None 15
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 28
 
11.2%
이 13
 
5.2%
스 8
 
3.2%
에 6
 
2.4%
지 6
 
2.4%
식 5
 
2.0%
회 5
 
2.0%
씨 5
 
2.0%
사 5
 
2.0%
코 4
 
1.6%
Other values (104) 164
65.9%
ASCII
ValueCountFrequency (%)
( 23
45.1%
) 23
45.1%
5
 
9.8%
None
ValueCountFrequency (%)
㈜ 15
100.0%

주업종
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T00:02:34.081971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length12.288889
Min length2

Characters and Unicode

Total characters553
Distinct characters184
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

Unique45 ?
Unique (%)100.0%

Sample

1st row보건업 및 사회복지서비스업
2nd row어묵
3rd rowMain Shaft, Flange, Tube Sheet 외
4th row산업용가스밸브
5th row의료(보건업)
ValueCountFrequency (%)
및 12
 
9.5%
등 7
 
5.6%
개발 3
 
2.4%
서비스 2
 
1.6%
조선기자재 2
 
1.6%
제조 2
 
1.6%
공급업 2
 
1.6%
제조업 2
 
1.6%
유아용품 2
 
1.6%
소프트웨어 2
 
1.6%
Other values (90) 90
71.4%
2023-12-13T00:02:34.469752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
14.6%
, 20
 
3.6%
스 15
 
2.7%
업 14
 
2.5%
및 12
 
2.2%
어 10
 
1.8%
비 9
 
1.6%
제 9
 
1.6%
자 9
 
1.6%
공 8
 
1.4%
Other values (174) 366
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
73.1%
Space Separator 81
 
14.6%
Uppercase Letter 24
 
4.3%
Other Punctuation 21
 
3.8%
Lowercase Letter 19
 
3.4%
Decimal Number 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 15
 
3.7%
업 14
 
3.5%
및 12
 
3.0%
어 10
 
2.5%
비 9
 
2.2%
제 9
 
2.2%
자 9
 
2.2%
공 8
 
2.0%
기 8
 
2.0%
용 8
 
2.0%
Other values (145) 302
74.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
25.0%
M 5
20.8%
R 3
12.5%
E 2
 
8.3%
T 2
 
8.3%
F 1
 
4.2%
W 1
 
4.2%
I 1
 
4.2%
P 1
 
4.2%
V 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
21.1%
a 3
15.8%
h 2
10.5%
n 2
10.5%
t 2
10.5%
f 1
 
5.3%
l 1
 
5.3%
i 1
 
5.3%
g 1
 
5.3%
u 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 20
95.2%
/ 1
 
4.8%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
73.1%
Common 106
 
19.2%
Latin 43
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 15
 
3.7%
업 14
 
3.5%
및 12
 
3.0%
어 10
 
2.5%
비 9
 
2.2%
제 9
 
2.2%
자 9
 
2.2%
공 8
 
2.0%
기 8
 
2.0%
용 8
 
2.0%
Other values (145) 302
74.8%
Latin
ValueCountFrequency (%)
S 6
14.0%
M 5
11.6%
e 4
 
9.3%
R 3
 
7.0%
a 3
 
7.0%
E 2
 
4.7%
h 2
 
4.7%
n 2
 
4.7%
t 2
 
4.7%
T 2
 
4.7%
Other values (12) 12
27.9%
Common
ValueCountFrequency (%)
81
76.4%
, 20
 
18.9%
/ 1
 
0.9%
0 1
 
0.9%
2 1
 
0.9%
) 1
 
0.9%
( 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
73.1%
ASCII 149
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
54.4%
, 20
 
13.4%
S 6
 
4.0%
M 5
 
3.4%
e 4
 
2.7%
R 3
 
2.0%
a 3
 
2.0%
E 2
 
1.3%
h 2
 
1.3%
n 2
 
1.3%
Other values (19) 21
 
14.1%
Hangul
ValueCountFrequency (%)
스 15
 
3.7%
업 14
 
3.5%
및 12
 
3.0%
어 10
 
2.5%
비 9
 
2.2%
제 9
 
2.2%
자 9
 
2.2%
공 8
 
2.0%
기 8
 
2.0%
용 8
 
2.0%
Other values (145) 302
74.8%

도로명주소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-13T00:02:34.738755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length33.4
Min length22

Characters and Unicode

Total characters1503
Distinct characters184
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

Unique45 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 가야대로 721 (당감동, 온병원), 온종합병원
2nd row부산광역시 사하구 다산로 277 (장림동), 고래사어묵
3rd row부산광역시 강서구 미음산단로 20 (구랑동), (주)태상
4th row부산광역시 강서구 녹산산업중로61번길 22 (송정동), 영도산업 주식회사
5th row부산광역시 부산진구 황령대로 12 (범천동), 이샘병원
ValueCountFrequency (%)
부산광역시 45
 
16.7%
해운대구 9
 
3.3%
강서구 9
 
3.3%
부산진구 6
 
2.2%
남구 4
 
1.5%
센텀중앙로 4
 
1.5%
97 3
 
1.1%
센텀스카이비즈 3
 
1.1%
금정구 3
 
1.1%
송정동 3
 
1.1%
Other values (161) 180
66.9%
2023-12-13T00:02:35.132798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
14.9%
산 68
 
4.5%
부 54
 
3.6%
( 51
 
3.4%
) 51
 
3.4%
동 50
 
3.3%
, 47
 
3.1%
시 46
 
3.1%
광 45
 
3.0%
역 45
 
3.0%
Other values (174) 822
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 917
61.0%
Space Separator 224
 
14.9%
Decimal Number 194
 
12.9%
Open Punctuation 51
 
3.4%
Close Punctuation 51
 
3.4%
Other Punctuation 47
 
3.1%
Uppercase Letter 10
 
0.7%
Dash Punctuation 7
 
0.5%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 68
 
7.4%
부 54
 
5.9%
동 50
 
5.5%
시 46
 
5.0%
광 45
 
4.9%
역 45
 
4.9%
구 45
 
4.9%
로 44
 
4.8%
대 25
 
2.7%
번 14
 
1.5%
Other values (152) 481
52.5%
Decimal Number
ValueCountFrequency (%)
1 42
21.6%
2 34
17.5%
5 19
9.8%
9 17
8.8%
6 17
8.8%
7 15
 
7.7%
0 15
 
7.7%
3 14
 
7.2%
8 11
 
5.7%
4 10
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
I 2
20.0%
A 2
20.0%
M 2
20.0%
B 2
20.0%
N 1
10.0%
W 1
10.0%
Space Separator
ValueCountFrequency (%)
224
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 919
61.1%
Common 574
38.2%
Latin 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 68
 
7.4%
부 54
 
5.9%
동 50
 
5.4%
시 46
 
5.0%
광 45
 
4.9%
역 45
 
4.9%
구 45
 
4.9%
로 44
 
4.8%
대 25
 
2.7%
번 14
 
1.5%
Other values (153) 483
52.6%
Common
ValueCountFrequency (%)
224
39.0%
( 51
 
8.9%
) 51
 
8.9%
, 47
 
8.2%
1 42
 
7.3%
2 34
 
5.9%
5 19
 
3.3%
9 17
 
3.0%
6 17
 
3.0%
7 15
 
2.6%
Other values (5) 57
 
9.9%
Latin
ValueCountFrequency (%)
I 2
20.0%
A 2
20.0%
M 2
20.0%
B 2
20.0%
N 1
10.0%
W 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 917
61.0%
ASCII 584
38.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
38.4%
( 51
 
8.7%
) 51
 
8.7%
, 47
 
8.0%
1 42
 
7.2%
2 34
 
5.8%
5 19
 
3.3%
9 17
 
2.9%
6 17
 
2.9%
7 15
 
2.6%
Other values (11) 67
 
11.5%
Hangul
ValueCountFrequency (%)
산 68
 
7.4%
부 54
 
5.9%
동 50
 
5.5%
시 46
 
5.0%
광 45
 
4.9%
역 45
 
4.9%
구 45
 
4.9%
로 44
 
4.8%
대 25
 
2.7%
번 14
 
1.5%
Other values (152) 481
52.5%
None
ValueCountFrequency (%)
㈜ 2
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.160718
Minimum35.061424
Maximum35.3317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T00:02:35.262925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.061424
5-th percentile35.080622
Q135.12716
median35.161219
Q335.18582
95-th percentile35.241054
Maximum35.3317
Range0.27027608
Interquartile range (IQR)0.05866

Descriptive statistics

Standard deviation0.057719136
Coefficient of variation (CV)0.0016415801
Kurtosis1.4547185
Mean35.160718
Median Absolute Deviation (MAD)0.03291669
Skewness0.80455991
Sum1582.2323
Variance0.0033314987
MonotonicityNot monotonic
2023-12-13T00:02:35.400489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
35.175162 2
 
4.4%
35.15791175 1
 
2.2%
35.17199706 1
 
2.2%
35.08917 1
 
2.2%
35.09232 1
 
2.2%
35.14378 1
 
2.2%
35.18762 1
 
2.2%
35.09497 1
 
2.2%
35.15472749 1
 
2.2%
35.16121867 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
35.06142392 1
2.2%
35.07750435 1
2.2%
35.07848547 1
2.2%
35.08917 1
2.2%
35.09152415 1
2.2%
35.09232 1
2.2%
35.09357 1
2.2%
35.09497 1
2.2%
35.09714764 1
2.2%
35.09861155 1
2.2%
ValueCountFrequency (%)
35.3317 1
2.2%
35.32225083 1
2.2%
35.24621 1
2.2%
35.22043116 1
2.2%
35.22000828 1
2.2%
35.21917779 1
2.2%
35.21887885 1
2.2%
35.21043682 1
2.2%
35.20016 1
2.2%
35.19673072 1
2.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04653
Minimum128.80416
Maximum129.2549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-13T00:02:35.528536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.80416
5-th percentile128.8334
Q1128.98234
median129.0723
Q3129.1245
95-th percentile129.22394
Maximum129.2549
Range0.4507397
Interquartile range (IQR)0.1421634

Descriptive statistics

Standard deviation0.11641722
Coefficient of variation (CV)0.00090213371
Kurtosis-0.32637829
Mean129.04653
Median Absolute Deviation (MAD)0.0569169
Skewness-0.52685701
Sum5807.0937
Variance0.013552969
MonotonicityNot monotonic
2023-12-13T00:02:35.653838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
129.124507 2
 
4.4%
129.0500288 1
 
2.2%
129.1099838 1
 
2.2%
129.0445 1
 
2.2%
128.8698 1
 
2.2%
129.0723 1
 
2.2%
129.2041 1
 
2.2%
128.8458 1
 
2.2%
129.0596024 1
 
2.2%
129.1634779 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
128.8041603 1
2.2%
128.8303 1
2.2%
128.8303012 1
2.2%
128.8458 1
2.2%
128.8552243 1
2.2%
128.8564956 1
2.2%
128.8655591 1
2.2%
128.8698 1
2.2%
128.9533473 1
2.2%
128.9752508 1
2.2%
ValueCountFrequency (%)
129.2549 1
2.2%
129.2541837 1
2.2%
129.2289 1
2.2%
129.2041 1
2.2%
129.1634779 1
2.2%
129.1329 1
2.2%
129.1298566 1
2.2%
129.1292169 1
2.2%
129.1284382 1
2.2%
129.124507 2
4.4%

인증연도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2021
15 
2022
15 
2023
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 15
33.3%
2022 15
33.3%
2023 15
33.3%

Length

2023-12-13T00:02:35.763935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:02:35.888281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 15
33.3%
2022 15
33.3%
2023 15
33.3%

Interactions

2023-12-13T00:02:32.535570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:31.987400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:32.263446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:32.613496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:32.080666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:32.338975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:32.693009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:32.177863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:32.430408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:02:36.004748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기업명주업종도로명주소위도경도인증연도
순번1.0001.0001.0001.0000.1650.0000.946
기업명1.0001.0001.0001.0001.0001.0001.000
주업종1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
위도0.1651.0001.0001.0001.0000.7260.000
경도0.0001.0001.0001.0000.7261.0000.000
인증연도0.9461.0001.0001.0000.0000.0001.000
2023-12-13T00:02:36.116499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도인증연도
순번1.0000.0330.1650.854
위도0.0331.0000.6530.000
경도0.1650.6531.0000.000
인증연도0.8540.0000.0001.000

Missing values

2023-12-13T00:02:33.067399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:02:33.156027image/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

순번기업명주업종도로명주소위도경도인증연도
01의료법인온그룹의료재단보건업 및 사회복지서비스업부산광역시 부산진구 가야대로 721 (당감동, 온병원), 온종합병원35.157912129.0500292021
12(주)늘푸른바다어묵부산광역시 사하구 다산로 277 (장림동), 고래사어묵35.077504128.9533472021
23(주)태상Main Shaft, Flange, Tube Sheet 외부산광역시 강서구 미음산단로 20 (구랑동), (주)태상35.128302128.8552242021
34영도산업(주)산업용가스밸브부산광역시 강서구 녹산산업중로61번길 22 (송정동), 영도산업 주식회사35.098612128.8303012021
45이샘병원의료(보건업)부산광역시 부산진구 황령대로 12 (범천동), 이샘병원35.147611129.0611562021
56(주)메드파크골이식재, 콜라겐 멤브레인부산광역시 북구 낙동대로1570번길 24 (구포동, 파크뷰)35.196731128.9895732021
67(주)삼우이머션VRAR 컨텐츠 제품부산광역시 해운대구 센텀서로 30 (우동, 케이엔엔타워), 2501호35.172061129.1284382021
78(주)신우하이텍자동화계측하드부산광역시 부산진구 전포대로 242 (전포동), 남경빌딩 5층35.158171129.0657942021
89(주)에코에너지기술연구소열교환기, 공기조화장치부산광역시 강서구 체육공원로6번길 211 (대저1동), (주)에코에너지기술연구소35.210437128.9823372021
910(주)인타운시스템 소프트웨어 개발 및 공급업부산광역시 해운대구 센텀6로 21 (우동, 인텔리움센텀), 401호35.173595129.1292172021
순번기업명주업종도로명주소위도경도인증연도
3536(주)엔디소프트지식서비스, 문자서비스부산광역시 해운대구 센텀중앙로 48 (우동, 에이스하이테크21) ,1212호35.173021129.1298572023
3637(주)오토닉스산업용 센서 및 컨트롤러부산광역시 해운대구 반송로513번길 18 (석대동) ,(주)오토닉스35.220008129.119372023
3738(주)지씨시스템통합구축사업부산광역시 연제구 양연로 3 (연산동, 대경빌딩) ,대경빌딩35.175281129.0788182023
3839(주)지엠네트웍스서비스부산광역시 남구 수영로266번길 77 (대연동, 센트럴지엠빌딩) ,2층35.133661129.0991382023
3940디케이이앤씨 주식회사전기공사부산광역시 기장군 장안읍 의과학6로 12-6 (임랑리) ,A동 2층 2-2호35.322251129.2541842023
4041부산컨테이너터미널(주)컨테이너 하역부산광역시 강서구 신항남로 588-1 (성북동) ,부산컨테이너터미널(주)35.061424128.804162023
4142주식회사 리얼코코글로벌20대여성의류 및 SW개발 및 공급부산광역시 부산진구 자유평화로3번길 14-21 (범천동, 소망빌딩) ,9층35.142223129.0618872023
4243주식회사 아토무역냉동수산물부산광역시 서구 원양로 310 (암남동) ,1001호35.078485129.0058942023
4344푸드팡 주식회사온라인 식자재 구매 어플 푸드팡부산광역시 금정구 공단로 60 (금사동) ,B동35.218879129.1138082023
4445한선엔지니어링(주)피팅, 밸브부산광역시 강서구 녹산산단361로 27 (송정동) ,한선엔지니어링(주)35.091524128.8564962023