Overview

Dataset statistics

Number of variables10
Number of observations75
Missing cells75
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory85.8 B

Variable types

Numeric3
Text3
Categorical3
Unsupported1

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
Unnamed: 9 has 75 (100.0%) missing valuesMissing
연번 has unique valuesUnique
사업장명 has unique valuesUnique
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 00:12:35.549997
Analysis finished2024-03-13 00:12:36.774386
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-03-13T09:12:36.856606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2024-03-13T09:12:36.986187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

사업장명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-13T09:12:37.181030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.6933333
Min length4

Characters and Unicode

Total characters652
Distinct characters159
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

Unique75 ?
Unique (%)100.0%

Sample

1st row오뚜기SF㈜
2nd row옥포아파트
3rd row의료법인 대우의료재단 대우병원
4th row(주)해남정비공업사
5th row옥포종합정비
ValueCountFrequency (%)
주)신풍 2
 
2.3%
주식회사 2
 
2.3%
오뚜기sf㈜ 1
 
1.1%
거제제일종합정비(주 1
 
1.1%
거제 1
 
1.1%
주)케이에이치에스 1
 
1.1%
주)관악 1
 
1.1%
거제지점 1
 
1.1%
주)소노인터내셔널 1
 
1.1%
한국자동차정비 1
 
1.1%
Other values (75) 75
86.2%
2024-03-13T09:12:37.479379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 44
 
6.7%
) 42
 
6.4%
( 42
 
6.4%
비 27
 
4.1%
정 25
 
3.8%
제 21
 
3.2%
공 17
 
2.6%
동 17
 
2.6%
자 15
 
2.3%
업 14
 
2.1%
Other values (149) 388
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
83.7%
Close Punctuation 42
 
6.4%
Open Punctuation 42
 
6.4%
Space Separator 12
 
1.8%
Decimal Number 6
 
0.9%
Uppercase Letter 2
 
0.3%
Other Symbol 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
8.1%
비 27
 
4.9%
정 25
 
4.6%
제 21
 
3.8%
공 17
 
3.1%
동 17
 
3.1%
자 15
 
2.7%
업 14
 
2.6%
거 14
 
2.6%
차 14
 
2.6%
Other values (140) 338
61.9%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 547
83.9%
Common 103
 
15.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
8.0%
비 27
 
4.9%
정 25
 
4.6%
제 21
 
3.8%
공 17
 
3.1%
동 17
 
3.1%
자 15
 
2.7%
업 14
 
2.6%
거 14
 
2.6%
차 14
 
2.6%
Other values (141) 339
62.0%
Common
ValueCountFrequency (%)
) 42
40.8%
( 42
40.8%
12
 
11.7%
1 3
 
2.9%
2 3
 
2.9%
- 1
 
1.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
83.7%
ASCII 105
 
16.1%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 44
 
8.1%
비 27
 
4.9%
정 25
 
4.6%
제 21
 
3.8%
공 17
 
3.1%
동 17
 
3.1%
자 15
 
2.7%
업 14
 
2.6%
거 14
 
2.6%
차 14
 
2.6%
Other values (140) 338
61.9%
ASCII
ValueCountFrequency (%)
) 42
40.0%
( 42
40.0%
12
 
11.4%
1 3
 
2.9%
2 3
 
2.9%
S 1
 
1.0%
F 1
 
1.0%
- 1
 
1.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

도로명주소
Text

Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-13T09:12:37.666417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length34
Mean length24.533333
Min length18

Characters and Unicode

Total characters1840
Distinct characters127
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

Unique71 ?
Unique (%)94.7%

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 75
18.9%
거제시 75
18.9%
연초면 22
 
5.5%
사등면 17
 
4.3%
거제대로 14
 
3.5%
연하해안로 8
 
2.0%
오비4길 7
 
1.8%
아주동 5
 
1.3%
일운면 5
 
1.3%
장목면 4
 
1.0%
Other values (131) 165
41.6%
2024-03-13T09:12:37.980067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
332
18.0%
거 100
 
5.4%
제 100
 
5.4%
도 77
 
4.2%
남 76
 
4.1%
상 76
 
4.1%
경 75
 
4.1%
시 75
 
4.1%
면 55
 
3.0%
1 51
 
2.8%
Other values (117) 823
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
60.2%
Space Separator 332
 
18.0%
Decimal Number 304
 
16.5%
Dash Punctuation 29
 
1.6%
Close Punctuation 29
 
1.6%
Open Punctuation 29
 
1.6%
Other Punctuation 8
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 100
 
9.0%
제 100
 
9.0%
도 77
 
7.0%
남 76
 
6.9%
상 76
 
6.9%
경 75
 
6.8%
시 75
 
6.8%
면 55
 
5.0%
로 50
 
4.5%
연 30
 
2.7%
Other values (100) 393
35.5%
Decimal Number
ValueCountFrequency (%)
1 51
16.8%
5 36
11.8%
3 36
11.8%
2 34
11.2%
6 32
10.5%
4 32
10.5%
7 30
9.9%
8 23
7.6%
0 17
 
5.6%
9 13
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
， 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
60.2%
Common 731
39.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 100
 
9.0%
제 100
 
9.0%
도 77
 
7.0%
남 76
 
6.9%
상 76
 
6.9%
경 75
 
6.8%
시 75
 
6.8%
면 55
 
5.0%
로 50
 
4.5%
연 30
 
2.7%
Other values (100) 393
35.5%
Common
ValueCountFrequency (%)
332
45.4%
1 51
 
7.0%
5 36
 
4.9%
3 36
 
4.9%
2 34
 
4.7%
6 32
 
4.4%
4 32
 
4.4%
7 30
 
4.1%
- 29
 
4.0%
) 29
 
4.0%
Other values (5) 90
 
12.3%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
60.2%
ASCII 725
39.4%
None 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
332
45.8%
1 51
 
7.0%
5 36
 
5.0%
3 36
 
5.0%
2 34
 
4.7%
6 32
 
4.4%
4 32
 
4.4%
7 30
 
4.1%
- 29
 
4.0%
) 29
 
4.0%
Other values (6) 84
 
11.6%
Hangul
ValueCountFrequency (%)
거 100
 
9.0%
제 100
 
9.0%
도 77
 
7.0%
남 76
 
6.9%
상 76
 
6.9%
경 75
 
6.8%
시 75
 
6.8%
면 55
 
5.0%
로 50
 
4.5%
연 30
 
2.7%
Other values (100) 393
35.5%
None
ValueCountFrequency (%)
， 8
100.0%

지번주소
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-13T09:12:38.168468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length36
Mean length24.04
Min length17

Characters and Unicode

Total characters1803
Distinct characters115
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

Unique73 ?
Unique (%)97.3%

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 75
19.7%
거제시 75
19.7%
연초면 23
 
6.0%
사등면 17
 
4.5%
오비리 13
 
3.4%
사등리 7
 
1.8%
외 6
 
1.6%
사곡리 6
 
1.6%
아주동 5
 
1.3%
일운면 5
 
1.3%
Other values (123) 149
39.1%
2024-03-13T09:12:38.501967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
379
21.0%
거 84
 
4.7%
제 84
 
4.7%
시 77
 
4.3%
상 77
 
4.3%
도 76
 
4.2%
경 75
 
4.2%
남 75
 
4.2%
1 66
 
3.7%
면 55
 
3.1%
Other values (105) 755
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1015
56.3%
Space Separator 379
 
21.0%
Decimal Number 332
 
18.4%
Dash Punctuation 50
 
2.8%
Other Punctuation 11
 
0.6%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 84
 
8.3%
제 84
 
8.3%
시 77
 
7.6%
상 77
 
7.6%
도 76
 
7.5%
경 75
 
7.4%
남 75
 
7.4%
면 55
 
5.4%
리 55
 
5.4%
사 33
 
3.3%
Other values (90) 324
31.9%
Decimal Number
ValueCountFrequency (%)
1 66
19.9%
7 46
13.9%
6 37
11.1%
4 34
10.2%
2 30
9.0%
8 27
8.1%
5 26
 
7.8%
3 24
 
7.2%
0 21
 
6.3%
9 21
 
6.3%
Space Separator
ValueCountFrequency (%)
379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Punctuation
ValueCountFrequency (%)
， 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1015
56.3%
Common 788
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 84
 
8.3%
제 84
 
8.3%
시 77
 
7.6%
상 77
 
7.6%
도 76
 
7.5%
경 75
 
7.4%
남 75
 
7.4%
면 55
 
5.4%
리 55
 
5.4%
사 33
 
3.3%
Other values (90) 324
31.9%
Common
ValueCountFrequency (%)
379
48.1%
1 66
 
8.4%
- 50
 
6.3%
7 46
 
5.8%
6 37
 
4.7%
4 34
 
4.3%
2 30
 
3.8%
8 27
 
3.4%
5 26
 
3.3%
3 24
 
3.0%
Other values (5) 69
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1015
56.3%
ASCII 777
43.1%
None 11
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
379
48.8%
1 66
 
8.5%
- 50
 
6.4%
7 46
 
5.9%
6 37
 
4.8%
4 34
 
4.4%
2 30
 
3.9%
8 27
 
3.5%
5 26
 
3.3%
3 24
 
3.1%
Other values (4) 58
 
7.5%
Hangul
ValueCountFrequency (%)
거 84
 
8.3%
제 84
 
8.3%
시 77
 
7.6%
상 77
 
7.6%
도 76
 
7.5%
경 75
 
7.4%
남 75
 
7.4%
면 55
 
5.4%
리 55
 
5.4%
사 33
 
3.3%
Other values (90) 324
31.9%
None
ValueCountFrequency (%)
， 11
100.0%

위도
Real number (ℝ)

Distinct70
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.900373
Minimum34.78113
Maximum35.007887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-03-13T09:12:38.613959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.78113
5-th percentile34.84267
Q134.884431
median34.900524
Q334.917857
95-th percentile34.975916
Maximum35.007887
Range0.22675674
Interquartile range (IQR)0.0334263

Descriptive statistics

Standard deviation0.038723346
Coefficient of variation (CV)0.0011095396
Kurtosis1.7868579
Mean34.900373
Median Absolute Deviation (MAD)0.0168993
Skewness-0.065298662
Sum2617.528
Variance0.0014994976
MonotonicityNot monotonic
2024-03-13T09:12:38.723717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8671755 2
 
2.7%
34.91959041 2
 
2.7%
34.88500125 2
 
2.7%
34.91653672 2
 
2.7%
34.91950566 2
 
2.7%
34.84999427 1
 
1.3%
34.7811301 1
 
1.3%
34.81123547 1
 
1.3%
34.84368572 1
 
1.3%
34.90199812 1
 
1.3%
Other values (60) 60
80.0%
ValueCountFrequency (%)
34.7811301 1
1.3%
34.80043954 1
1.3%
34.81123547 1
1.3%
34.84029905 1
1.3%
34.84368572 1
1.3%
34.84999427 1
1.3%
34.85370477 1
1.3%
34.86118319 1
1.3%
34.86546261 1
1.3%
34.86586244 1
1.3%
ValueCountFrequency (%)
35.00788684 1
1.3%
34.98750495 1
1.3%
34.98277443 1
1.3%
34.97610252 1
1.3%
34.97583672 1
1.3%
34.96232571 1
1.3%
34.95837665 1
1.3%
34.95784226 1
1.3%
34.93353281 1
1.3%
34.92734661 1
1.3%

경도
Real number (ℝ)

Distinct70
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.62912
Minimum128.49873
Maximum128.73842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-03-13T09:12:38.832750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.49873
5-th percentile128.5375
Q1128.58708
median128.62521
Q3128.68268
95-th percentile128.72249
Maximum128.73842
Range0.2396825
Interquartile range (IQR)0.0955948

Descriptive statistics

Standard deviation0.05869437
Coefficient of variation (CV)0.00045630703
Kurtosis-0.76060685
Mean128.62912
Median Absolute Deviation (MAD)0.0464788
Skewness-0.11267042
Sum9647.1838
Variance0.0034450291
MonotonicityNot monotonic
2024-03-13T09:12:38.948297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.723359 2
 
2.7%
128.6165753 2
 
2.7%
128.5724255 2
 
2.7%
128.5385212 2
 
2.7%
128.6155131 2
 
2.7%
128.7094957 1
 
1.3%
128.5787308 1
 
1.3%
128.7040911 1
 
1.3%
128.7030011 1
 
1.3%
128.5540624 1
 
1.3%
Other values (60) 60
80.0%
ValueCountFrequency (%)
128.4987337 1
1.3%
128.5121496 1
1.3%
128.5254744 1
1.3%
128.5351123 1
1.3%
128.5385212 2
2.7%
128.539678 1
1.3%
128.5424731 1
1.3%
128.5540624 1
1.3%
128.5545094 1
1.3%
128.5590239 1
1.3%
ValueCountFrequency (%)
128.7384162 1
1.3%
128.7324244 1
1.3%
128.723359 2
2.7%
128.7221212 1
1.3%
128.712119 1
1.3%
128.7094957 1
1.3%
128.7040911 1
1.3%
128.7030011 1
1.3%
128.699386 1
1.3%
128.6971932 1
1.3%

대표업종
Categorical

Distinct33
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
자동차 종합 수리업
13 
자동차 수리업
11 
선박 구성부분품 제조업
7 
레미콘 제조업
5 
아스콘 제조업
4 
Other values (28)
35 

Length

Max length18
Median length14
Mean length8.4933333
Min length3

Unique

Unique22 ?
Unique (%)29.3%

Sample

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

Common Values

ValueCountFrequency (%)
자동차 종합 수리업 13
17.3%
자동차 수리업 11
14.7%
선박 구성부분품 제조업 7
 
9.3%
레미콘 제조업 5
 
6.7%
아스콘 제조업 4
 
5.3%
호텔업 3
 
4.0%
폐기물 처리업 2
 
2.7%
수산물 가공 및 저장처리업 2
 
2.7%
욕탕업 2
 
2.7%
일반 공공 행정 2
 
2.7%
Other values (23) 24
32.0%

Length

2024-03-13T09:12:39.126988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차 26
 
14.2%
수리업 25
 
13.7%
제조업 19
 
10.4%
종합 15
 
8.2%
선박 7
 
3.8%
구성부분품 7
 
3.8%
및 5
 
2.7%
레미콘 5
 
2.7%
아스콘 4
 
2.2%
폐기물 4
 
2.2%
Other values (47) 66
36.1%

종
Categorical

Distinct5
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
4종
36 
5종
27 
3종
5 
2종
4 
1종
 
3

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 36
48.0%
5종 27
36.0%
3종 5
 
6.7%
2종 4
 
5.3%
1종 3
 
4.0%

Length

2024-03-13T09:12:39.230500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:12:39.320818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4종 36
48.0%
5종 27
36.0%
3종 5
 
6.7%
2종 4
 
5.3%
1종 3
 
4.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2021-09-14
75 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-14
2nd row2021-09-14
3rd row2021-09-14
4th row2021-09-14
5th row2021-09-14

Common Values

ValueCountFrequency (%)
2021-09-14 75
100.0%

Length

2024-03-13T09:12:39.424562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:12:39.504582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-14 75
100.0%

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

Interactions

2024-03-13T09:12:36.370080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:35.966170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:36.177117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:36.439757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:36.036327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:36.243932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:36.500187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:36.102480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:12:36.305477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:12:39.563740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명도로명주소지번주소위도경도대표업종종
연번1.0001.0000.8650.9270.0000.0000.6200.553
사업장명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소0.8651.0001.0001.0001.0001.0000.9980.984
지번주소0.9271.0001.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.7870.8320.217
경도0.0001.0001.0001.0000.7871.0000.8070.404
대표업종0.6201.0000.9981.0000.8320.8071.0000.801
종0.5531.0000.9841.0000.2170.4040.8011.000
2024-03-13T09:12:39.653502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종대표업종
종1.0000.408
대표업종0.4081.000
2024-03-13T09:12:39.730311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도대표업종종
연번1.000-0.1040.0150.2040.248
위도-0.1041.000-0.2560.3770.078
경도0.015-0.2561.0000.3380.204
대표업종0.2040.3770.3381.0000.408
종0.2480.0780.2040.4081.000

Missing values

2024-03-13T09:12:36.599012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:12:36.718365image/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

연번사업장명도로명주소지번주소위도경도대표업종종기준일자Unnamed: 9
01오뚜기SF㈜경상남도 거제시 사등면 거제대로 5382경상남도 거제시 사등면 사등리 50534.905007128.554509수산물 가공 및 저장처리업4종2021-09-14<NA>
12옥포아파트경상남도 거제시 서간도길 18 (옥포동)경상남도 거제시 옥포동 322-134.889609128.688448업무용4종2021-09-14<NA>
23의료법인 대우의료재단 대우병원경상남도 거제시 두모길 16 (두모동 대우병원)경상남도 거제시 두모동 37834.871952128.722121종합 병원4종2021-09-14<NA>
34(주)해남정비공업사경상남도 거제시 고현로 107 (고현동)경상남도 거제시 고현동 38-434.887314128.624396자동차 수리업5종2021-09-14<NA>
45옥포종합정비경상남도 거제시 옥포로12길 18 (옥포동)경상남도 거제시 옥포동 543-634.892098128.693009자동차 종합 수리업4종2021-09-14<NA>
56대일수산(주)경상남도 거제시 하청면 와항1길 32-1경상남도 거제시 하청면 실전리 1005-134.962326128.651586수산물 가공 및 저장처리업4종2021-09-14<NA>
67(주)신풍경상남도 거제시 사등면 성포로 349-18경상남도 거제시 사등면 사등리 2076-134.916537128.538521레미콘 제조업5종2021-09-14<NA>
78주식회사 유경씨엠경상남도 거제시 사등면 성포로 365경상남도 거제시 사등면 사등리 2106-134.916027128.539678시멘트 제조업2종2021-09-14<NA>
89세양기업(주)제2공장경상남도 거제시 연초면 연하해안로 725-4경상남도 거제시 연초면 한내리 12034.927347128.603313선박 구성부분품 제조업2종2021-09-14<NA>
910형제자동차정비경상남도 거제시 수양로 490 (양정동)경상남도 거제시 양정동 957-334.89152128.637327자동차 수리업4종2021-09-14<NA>
연번사업장명도로명주소지번주소위도경도대표업종종기준일자Unnamed: 9
6566한국가스공사 부산경남지역본부 거제관리소경상남도 거제시 사등면 모래실길 58-72경상남도 거제시 사등면 사곡리 27534.897058128.581가스제조 및 배관 공급업5종2021-09-14<NA>
6667(주)대기공업 거제도해수온천경상남도 거제시 수양로 507 거제도해수온천 (양정동)경상남도 거제시 양정동 976-14 거제도해수온천34.890891128.635244욕탕업5종2021-09-14<NA>
6768금강1급자동차정비경상남도 거제시 연초면 소오비길 28경상남도 거제시 연초면 오비리 13634.900491128.630066자동차 종합 수리업4종2021-09-14<NA>
6869평화영농조합법인경상남도 거제시 사등면 오량1길 1-32경상남도 거제시 사등면 오량리 107634.89033128.498734곡물 도정업3종2021-09-14<NA>
6970(주)고현자동차검사정비경상남도 거제시 장평동 687-1，687-4，686，686-2，687-16，686-5，685경상남도 거제시 장평동 687-1，687-4，686，686-2，687-16，686-5，68534.888528128.601792자동차 종합 수리업4종2021-09-14<NA>
7071태성개발(주)경상남도 거제시 장목면 군항포길 33-29경상남도 거제시 장목면 장목리 471-134.987505128.667833폐기물 처리업3종2021-09-14<NA>
7172지에스엠(주)경상남도 거제시 연초면 죽토리 6경상남도 거제시 연초면 죽토리 634.903759128.677657건설용 석재 채굴업3종2021-09-14<NA>
7273오션사이드수영장경상남도 거제시 장승로 145 거제문화예술회관 오션사이드수영장 (장승포동)경상남도 거제시 장승포동 426-33 거제문화예술회관 오션사이드수영장34.867176128.723359일반 공공 행정5종2021-09-14<NA>
7374홈플러스(주)거제지점경상남도 거제시 장평로 12 홈플러스 거제점 (장평동)경상남도 거제시 장평동 1211 홈플러스 거제점34.891051128.616405대형 종합 소매업5종2021-09-14<NA>
7475(주)세광경상남도 거제시 거제면 읍내로 202경상남도 거제시 거제면 옥산리 143834.861183128.584017건설 폐기물 처리업3종2021-09-14<NA>