Overview

Dataset statistics

Number of variables8
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory67.8 B

Variable types

Text3
Numeric2
Categorical2
DateTime1

Dataset

Description경상남도 거제시 대기배출시설설치현황(사업장명, 주소, 위도, 경도, 대표업종, 종, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15066404

Alerts

기준일자 has constant value ""Constant
위도 is highly overall correlated with 대표업종High correlation
대표업종 is highly overall correlated with 위도High correlation
사업장명 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:12:40.290542
Analysis finished2024-03-13 00:12:41.428467
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-03-13T09:12:41.593632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.1621622
Min length4

Characters and Unicode

Total characters678
Distinct characters157
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

Unique74 ?
Unique (%)100.0%

Sample

1st row오뚜기SF㈜
2nd row옥포아파트
3rd row의료법인 대우의료재단 대우병원
4th row(주)해남정비공업사
5th row옥포종합정비
ValueCountFrequency (%)
주식회사 4
 
4.3%
주)새한레미콘 2
 
2.2%
아스콘공장 2
 
2.2%
주)제일레미콘 2
 
2.2%
의료법인 2
 
2.2%
주)한려식품 1
 
1.1%
오션사이드수영장 1
 
1.1%
옥포아파트 1
 
1.1%
한화호텔앤드리조트(주 1
 
1.1%
거제현대서비스 1
 
1.1%
Other values (76) 76
81.7%
2024-03-13T09:12:41.924597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 45
 
6.6%
( 41
 
6.0%
) 41
 
6.0%
비 25
 
3.7%
정 22
 
3.2%
제 20
 
2.9%
19
 
2.8%
업 17
 
2.5%
공 17
 
2.5%
거 16
 
2.4%
Other values (147) 415
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
83.8%
Open Punctuation 41
 
6.0%
Close Punctuation 41
 
6.0%
Space Separator 19
 
2.8%
Decimal Number 5
 
0.7%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 45
 
7.9%
비 25
 
4.4%
정 22
 
3.9%
제 20
 
3.5%
업 17
 
3.0%
공 17
 
3.0%
거 16
 
2.8%
동 15
 
2.6%
사 14
 
2.5%
자 13
 
2.3%
Other values (138) 364
64.1%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
S 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
83.9%
Common 107
 
15.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 45
 
7.9%
비 25
 
4.4%
정 22
 
3.9%
제 20
 
3.5%
업 17
 
3.0%
공 17
 
3.0%
거 16
 
2.8%
동 15
 
2.6%
사 14
 
2.5%
자 13
 
2.3%
Other values (139) 365
64.1%
Common
ValueCountFrequency (%)
( 41
38.3%
) 41
38.3%
19
17.8%
1 3
 
2.8%
2 2
 
1.9%
- 1
 
0.9%
Latin
ValueCountFrequency (%)
F 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
83.8%
ASCII 109
 
16.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 45
 
7.9%
비 25
 
4.4%
정 22
 
3.9%
제 20
 
3.5%
업 17
 
3.0%
공 17
 
3.0%
거 16
 
2.8%
동 15
 
2.6%
사 14
 
2.5%
자 13
 
2.3%
Other values (138) 364
64.1%
ASCII
ValueCountFrequency (%)
( 41
37.6%
) 41
37.6%
19
17.4%
1 3
 
2.8%
2 2
 
1.8%
- 1
 
0.9%
F 1
 
0.9%
S 1
 
0.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

Distinct72
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-03-13T09:12:42.187200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length24.337838
Min length18

Characters and Unicode

Total characters1801
Distinct characters148
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

Unique70 ?
Unique (%)94.6%

Sample

1st row경상남도 거제시 사등면 거제대로 5382
2nd row경상남도 거제시 서간도길 18 (옥포동)
3rd row경상남도 거제시 두모길 16 (두모동 대우병원)
4th row경상남도 거제시 고현로 107 (고현동)
5th row경상남도 거제시 옥포로12길 18 (옥포동)
ValueCountFrequency (%)
경상남도 74
18.8%
거제시 74
18.8%
연초면 24
 
6.1%
사등면 15
 
3.8%
거제대로 12
 
3.0%
연하해안로 8
 
2.0%
오비4길 7
 
1.8%
일운면 5
 
1.3%
장평동 5
 
1.3%
장목면 4
 
1.0%
Other values (136) 166
42.1%
2024-03-13T09:12:42.553473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
320
 
17.8%
거 100
 
5.6%
제 99
 
5.5%
도 77
 
4.3%
시 76
 
4.2%
상 76
 
4.2%
남 75
 
4.2%
경 74
 
4.1%
면 53
 
2.9%
로 47
 
2.6%
Other values (138) 804
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1132
62.9%
Space Separator 320
 
17.8%
Decimal Number 264
 
14.7%
Close Punctuation 29
 
1.6%
Open Punctuation 29
 
1.6%
Dash Punctuation 23
 
1.3%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 100
 
8.8%
제 99
 
8.7%
도 77
 
6.8%
시 76
 
6.7%
상 76
 
6.7%
남 75
 
6.6%
경 74
 
6.5%
면 53
 
4.7%
로 47
 
4.2%
연 32
 
2.8%
Other values (121) 423
37.4%
Decimal Number
ValueCountFrequency (%)
1 45
17.0%
2 34
12.9%
5 32
12.1%
3 31
11.7%
4 31
11.7%
7 25
9.5%
6 21
8.0%
0 16
 
6.1%
9 15
 
5.7%
8 14
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
， 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1132
62.9%
Common 667
37.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 100
 
8.8%
제 99
 
8.7%
도 77
 
6.8%
시 76
 
6.7%
상 76
 
6.7%
남 75
 
6.6%
경 74
 
6.5%
면 53
 
4.7%
로 47
 
4.2%
연 32
 
2.8%
Other values (121) 423
37.4%
Common
ValueCountFrequency (%)
320
48.0%
1 45
 
6.7%
2 34
 
5.1%
5 32
 
4.8%
3 31
 
4.6%
4 31
 
4.6%
) 29
 
4.3%
( 29
 
4.3%
7 25
 
3.7%
- 23
 
3.4%
Other values (5) 68
 
10.2%
Latin
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1132
62.9%
ASCII 667
37.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
320
48.0%
1 45
 
6.7%
2 34
 
5.1%
5 32
 
4.8%
3 31
 
4.6%
4 31
 
4.6%
) 29
 
4.3%
( 29
 
4.3%
7 25
 
3.7%
- 23
 
3.4%
Other values (6) 68
 
10.2%
Hangul
ValueCountFrequency (%)
거 100
 
8.8%
제 99
 
8.7%
도 77
 
6.8%
시 76
 
6.7%
상 76
 
6.7%
남 75
 
6.6%
경 74
 
6.5%
면 53
 
4.7%
로 47
 
4.2%
연 32
 
2.8%
Other values (121) 423
37.4%
None
ValueCountFrequency (%)
， 2
100.0%

지번주소
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-03-13T09:12:42.798479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length22.216216
Min length16

Characters and Unicode

Total characters1644
Distinct characters123
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 사등면 사등리 505
2nd row경상남도 거제시 옥포동 322-1
3rd row경상남도 거제시 두모동 378
4th row경상남도 거제시 고현동 38-4
5th row경상남도 거제시 옥포동 543-6
ValueCountFrequency (%)
경상남도 73
19.9%
거제시 73
19.9%
연초면 24
 
6.5%
사등면 15
 
4.1%
오비리 12
 
3.3%
사곡리 6
 
1.6%
사등리 5
 
1.4%
일운면 5
 
1.4%
장목면 4
 
1.1%
아주동 4
 
1.1%
Other values (119) 146
39.8%
2024-03-13T09:12:43.156425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
301
18.3%
거 81
 
4.9%
제 80
 
4.9%
상 77
 
4.7%
시 76
 
4.6%
도 75
 
4.6%
경 74
 
4.5%
남 74
 
4.5%
1 64
 
3.9%
면 53
 
3.2%
Other values (113) 689
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
60.7%
Space Separator 301
 
18.3%
Decimal Number 292
 
17.8%
Dash Punctuation 44
 
2.7%
Other Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 81
 
8.1%
제 80
 
8.0%
상 77
 
7.7%
시 76
 
7.6%
도 75
 
7.5%
경 74
 
7.4%
남 74
 
7.4%
면 53
 
5.3%
리 53
 
5.3%
사 29
 
2.9%
Other values (98) 326
32.7%
Decimal Number
ValueCountFrequency (%)
1 64
21.9%
7 37
12.7%
4 35
12.0%
2 29
9.9%
3 25
 
8.6%
6 25
 
8.6%
5 24
 
8.2%
8 20
 
6.8%
9 19
 
6.5%
0 14
 
4.8%
Space Separator
ValueCountFrequency (%)
301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
， 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 998
60.7%
Common 646
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 81
 
8.1%
제 80
 
8.0%
상 77
 
7.7%
시 76
 
7.6%
도 75
 
7.5%
경 74
 
7.4%
남 74
 
7.4%
면 53
 
5.3%
리 53
 
5.3%
사 29
 
2.9%
Other values (98) 326
32.7%
Common
ValueCountFrequency (%)
301
46.6%
1 64
 
9.9%
- 44
 
6.8%
7 37
 
5.7%
4 35
 
5.4%
2 29
 
4.5%
3 25
 
3.9%
6 25
 
3.9%
5 24
 
3.7%
8 20
 
3.1%
Other values (5) 42
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 998
60.7%
ASCII 643
39.1%
None 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
301
46.8%
1 64
 
10.0%
- 44
 
6.8%
7 37
 
5.8%
4 35
 
5.4%
2 29
 
4.5%
3 25
 
3.9%
6 25
 
3.9%
5 24
 
3.7%
8 20
 
3.1%
Other values (4) 39
 
6.1%
Hangul
ValueCountFrequency (%)
거 81
 
8.1%
제 80
 
8.0%
상 77
 
7.7%
시 76
 
7.6%
도 75
 
7.5%
경 74
 
7.4%
남 74
 
7.4%
면 53
 
5.3%
리 53
 
5.3%
사 29
 
2.9%
Other values (98) 326
32.7%
None
ValueCountFrequency (%)
， 3
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.904134
Minimum34.78113
Maximum35.258754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-03-13T09:12:43.267319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.78113
5-th percentile34.8425
Q134.884168
median34.900916
Q334.918612
95-th percentile34.97593
Maximum35.258754
Range0.47762435
Interquartile range (IQR)0.034443522

Descriptive statistics

Standard deviation0.056179624
Coefficient of variation (CV)0.0016095407
Kurtosis21.551868
Mean34.904134
Median Absolute Deviation (MAD)0.01719679
Skewness3.3713751
Sum2582.9059
Variance0.0031561502
MonotonicityNot monotonic
2024-03-13T09:12:43.403335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.88500125 2
 
2.7%
34.91959041 2
 
2.7%
34.91950566 2
 
2.7%
34.8671755 2
 
2.7%
34.89615587 1
 
1.4%
34.84029905 1
 
1.4%
34.90396675 1
 
1.4%
34.92205108 1
 
1.4%
34.90130802 1
 
1.4%
34.90500698 1
 
1.4%
Other values (60) 60
81.1%
ValueCountFrequency (%)
34.7811301 1
1.4%
34.80043954 1
1.4%
34.81123547 1
1.4%
34.84029905 1
1.4%
34.84368572 1
1.4%
34.84999427 1
1.4%
34.85370477 1
1.4%
34.86118319 1
1.4%
34.86546261 1
1.4%
34.86586244 1
1.4%
ValueCountFrequency (%)
35.25875445 1
1.4%
35.00585889 1
1.4%
34.98750495 1
1.4%
34.97610252 1
1.4%
34.97583672 1
1.4%
34.96232571 1
1.4%
34.95837665 1
1.4%
34.94468829 1
1.4%
34.93507259 1
1.4%
34.93380172 1
1.4%

경도
Real number (ℝ)

Distinct70
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.62644
Minimum128.29866
Maximum128.73798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-03-13T09:12:43.553880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.29866
5-th percentile128.53174
Q1128.58484
median128.62414
Q3128.6872
95-th percentile128.72255
Maximum128.73798
Range0.4393175
Interquartile range (IQR)0.10236398

Descriptive statistics

Standard deviation0.069847546
Coefficient of variation (CV)0.00054302635
Kurtosis5.2266777
Mean128.62644
Median Absolute Deviation (MAD)0.0490197
Skewness-1.3797205
Sum9518.3565
Variance0.0048786797
MonotonicityNot monotonic
2024-03-13T09:12:43.663695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5724255 2
 
2.7%
128.6165753 2
 
2.7%
128.6155131 2
 
2.7%
128.723359 2
 
2.7%
128.6123186 1
 
1.4%
128.699386 1
 
1.4%
128.6238772 1
 
1.4%
128.6148645 1
 
1.4%
128.5121496 1
 
1.4%
128.5545094 1
 
1.4%
Other values (60) 60
81.1%
ValueCountFrequency (%)
128.2986614 1
1.4%
128.4987337 1
1.4%
128.5121496 1
1.4%
128.5254744 1
1.4%
128.5351123 1
1.4%
128.5383005 1
1.4%
128.539678 1
1.4%
128.5540624 1
1.4%
128.5545094 1
1.4%
128.5590239 1
1.4%
ValueCountFrequency (%)
128.7379789 1
1.4%
128.7324244 1
1.4%
128.723359 2
2.7%
128.7221212 1
1.4%
128.7120685 1
1.4%
128.7094957 1
1.4%
128.7040911 1
1.4%
128.7030011 1
1.4%
128.699386 1
1.4%
128.6971932 1
1.4%

대표업종
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Memory size724.0 B
자동차 종합 수리업
16 
자동차 수리업
7 
선박 구성부분품 제조업
6 
레미콘 제조업
5 
아스콘 제조업
 
3
Other values (29)
37 

Length

Max length18
Median length17
Mean length8.8918919
Min length3

Unique

Unique22 ?
Unique (%)29.7%

Sample

1st row수산물 가공 및 저장처리업
2nd row업무용보일러
3rd row종합 병원
4th row자동차 수리업
5th row자동차 종합 수리업

Common Values

ValueCountFrequency (%)
자동차 종합 수리업 16
21.6%
자동차 수리업 7
 
9.5%
선박 구성부분품 제조업 6
 
8.1%
레미콘 제조업 5
 
6.8%
아스콘 제조업 3
 
4.1%
호텔업 3
 
4.1%
대형 종합 소매업 2
 
2.7%
종합 병원 2
 
2.7%
일반 공공 행정 2
 
2.7%
폐기물 처리업 2
 
2.7%
Other values (24) 26
35.1%

Length

2024-03-13T09:12:43.768831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차 24
 
12.6%
수리업 24
 
12.6%
종합 21
 
11.1%
제조업 17
 
8.9%
선박 6
 
3.2%
구성부분품 6
 
3.2%
및 6
 
3.2%
레미콘 5
 
2.6%
폐기물 4
 
2.1%
기타 4
 
2.1%
Other values (50) 73
38.4%

종
Categorical

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
4종
35 
5종
28 
3종
6 
1종
 
3
2종
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4종
2nd row4종
3rd row4종
4th row5종
5th row4종

Common Values

ValueCountFrequency (%)
4종 35
47.3%
5종 28
37.8%
3종 6
 
8.1%
1종 3
 
4.1%
2종 2
 
2.7%

Length

2024-03-13T09:12:43.862285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:12:43.944100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4종 35
47.3%
5종 28
37.8%
3종 6
 
8.1%
1종 3
 
4.1%
2종 2
 
2.7%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum2022-09-13 00:00:00
Maximum2022-09-13 00:00:00
2024-03-13T09:12:44.016434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:44.086108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-13T09:12:40.833903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:40.702884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:40.893954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:40.773929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:12:44.142209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명도로명주소지번주소위도경도대표업종종
사업장명1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0000.9970.985
지번주소1.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.4560.9010.000
경도1.0001.0001.0000.4561.0000.8060.286
대표업종1.0000.9971.0000.9010.8061.0000.675
종1.0000.9851.0000.0000.2860.6751.000
2024-03-13T09:12:44.224068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종대표업종
종1.0000.290
대표업종0.2901.000
2024-03-13T09:12:44.287384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도대표업종종
위도1.000-0.3090.5110.000
경도-0.3091.0000.4680.166
대표업종0.5110.4681.0000.290
종0.0000.1660.2901.000

Missing values

2024-03-13T09:12:40.979084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:12:41.392671image/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

사업장명도로명주소지번주소위도경도대표업종종기준일자
0오뚜기SF㈜경상남도 거제시 사등면 거제대로 5382경상남도 거제시 사등면 사등리 50534.905007128.554509수산물 가공 및 저장처리업4종2022-09-13
1옥포아파트경상남도 거제시 서간도길 18 (옥포동)경상남도 거제시 옥포동 322-134.889609128.688448업무용보일러4종2022-09-13
2의료법인 대우의료재단 대우병원경상남도 거제시 두모길 16 (두모동 대우병원)경상남도 거제시 두모동 37834.871952128.722121종합 병원4종2022-09-13
3(주)해남정비공업사경상남도 거제시 고현로 107 (고현동)경상남도 거제시 고현동 38-434.887314128.624396자동차 수리업5종2022-09-13
4옥포종합정비경상남도 거제시 옥포로12길 18 (옥포동)경상남도 거제시 옥포동 543-634.892098128.693009자동차 종합 수리업4종2022-09-13
5대일수산(주)경상남도 거제시 하청면 와항1길 32-1경상남도 거제시 하청면 실전리 1005-134.962326128.651586수산물 가공 및 저장처리업4종2022-09-13
6(주)신풍경상남도 거제시 사등면 성포로 349-18경상남도 거제시 사등면 사등리 205534.916249128.5383레미콘 제조업3종2022-09-13
7주식회사 유경씨엠경상남도 거제시 사등면 성포로 365경상남도 거제시 사등면 사등리 2106-134.916027128.539678시멘트 제조업3종2022-09-13
8세양기업(주)제2공장경상남도 거제시 연초면 연하해안로 725-4경상남도 거제시 연초면 한내리 12034.927347128.603313선박 구성부분품 제조업2종2022-09-13
91급아주정비공업사경상남도 거제시 용소1길 37 (아주동)경상남도 거제시 아주동 96234.874971128.688009자동차 종합 수리업4종2022-09-13
사업장명도로명주소지번주소위도경도대표업종종기준일자
64지에스엠(주)경상남도 거제시 연초면 죽토리 6경상남도 거제시 연초면 죽토리 634.903759128.677657건설용 석재 채굴업3종2022-09-13
65오션사이드수영장경상남도 거제시 장승로 145 거제문화예술회관 오션사이드수영장 (장승포동)경상남도 거제시 장승포동 426-33 거제문화예술회관 오션사이드수영장34.867176128.723359일반 공공 행정5종2022-09-13
66홈플러스(주)거제지점경상남도 거제시 장평로 12 홈플러스 거제점 (장평동)경상남도 거제시 장평동 1211 홈플러스 거제점34.891051128.616405대형 종합 소매업5종2022-09-13
67(주)세광경상남도 거제시 거제면 읍내로 202경상남도 거제시 거제면 옥산리 143834.861183128.584017건설 폐기물 처리업3종2022-09-13
68의료법인 거붕 백병원경상남도 거제시 계룡로5길 14 거붕백병원 (상동동)경상남도 거제시 상동동 943-5 거붕백병원34.87365128.625627종합 병원4종2022-09-13
69문성자동차종합정비경상남도 거제시 옥포성안로 67 (옥포동)경상남도 거제시 옥포동 542-734.892315128.694466자동차 종합 수리업5종2022-09-13
70대성산업(주)거제사업부경상남도 거제시 장평로 12 디큐브백화점 (장평동)경상남도거제시장평동1211디큐브백화점35.258754128.298661종합 소매업4종2022-09-13
71(주)벧엘기업경상남도 거제시 피솔길 193 벳엘기업 (장평동)경상남도 거제시 장평동 1124-8 벳엘기업34.909011128.581205동물용 사료 및 조제식품 제조업5종2022-09-13
72롯데쇼핑(주) 롯데마트 거제점경상남도 거제시 서간도길 9-9 (옥포동 거제엘크루랜드마크 롯데마트)경상남도 거제시 옥포동 308 롯데마트34.887426128.691745대형 종합 소매업5종2022-09-13
73인터내셔날페인트리서치(주)경상남도 거제시 연초면 연하해안로 841-5경상남도 거제시 연초면 한내리 639-134.935073128.597765기타 공학 연구개발업5종2022-09-13