Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory68.0 B

Variable types

Text4
Numeric2
Categorical1
DateTime1

Dataset

Description부산광역시 영도구 전문건설업 현황입니다.부산광역시 영도구 전문건설업 현황에 대한 데이터로 관내 전문전문건설업 상호, 소재지, 등록업종등의 항목을 제공합니다.
Author부산광역시 영도구
URLhttps://www.data.go.kr/data/15064682/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준 has constant value ""Constant
상호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:30:42.734281
Analysis finished2024-04-21 01:30:45.558814
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-21T10:30:45.749561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.3030303
Min length4

Characters and Unicode

Total characters482
Distinct characters139
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row(주)강민건설
2nd row(주)경보건업
3rd row(주)경보이엔씨
4th row(주)뉴엔지니어링
5th row(주)다용건설
ValueCountFrequency (%)
주)강민건설 1
 
1.5%
유림가스상사 1
 
1.5%
한주가스 1
 
1.5%
부원종합주택 1
 
1.5%
삼부건업 1
 
1.5%
삼한상사 1
 
1.5%
새집만들기 1
 
1.5%
신흥에너지 1
 
1.5%
에스알디자인컴퍼니(주 1
 
1.5%
엠앤씨엔지니어링(주 1
 
1.5%
Other values (56) 56
84.8%
2024-04-21T10:30:46.124757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 40
 
8.3%
( 26
 
5.4%
) 26
 
5.4%
사 18
 
3.7%
설 15
 
3.1%
건 14
 
2.9%
식 10
 
2.1%
일 10
 
2.1%
회 10
 
2.1%
이 10
 
2.1%
Other values (129) 303
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
86.9%
Open Punctuation 26
 
5.4%
Close Punctuation 26
 
5.4%
Decimal Number 8
 
1.7%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 40
 
9.5%
사 18
 
4.3%
설 15
 
3.6%
건 14
 
3.3%
식 10
 
2.4%
일 10
 
2.4%
회 10
 
2.4%
이 10
 
2.4%
업 9
 
2.1%
비 9
 
2.1%
Other values (118) 274
65.4%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
8 2
25.0%
9 1
12.5%
3 1
12.5%
6 1
12.5%
5 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
C 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
86.9%
Common 61
 
12.7%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 40
 
9.5%
사 18
 
4.3%
설 15
 
3.6%
건 14
 
3.3%
식 10
 
2.4%
일 10
 
2.4%
회 10
 
2.4%
이 10
 
2.4%
업 9
 
2.1%
비 9
 
2.1%
Other values (118) 274
65.4%
Common
ValueCountFrequency (%)
( 26
42.6%
) 26
42.6%
1 2
 
3.3%
8 2
 
3.3%
& 1
 
1.6%
9 1
 
1.6%
3 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%
Latin
ValueCountFrequency (%)
G 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
86.9%
ASCII 63
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 40
 
9.5%
사 18
 
4.3%
설 15
 
3.6%
건 14
 
3.3%
식 10
 
2.4%
일 10
 
2.4%
회 10
 
2.4%
이 10
 
2.4%
업 9
 
2.1%
비 9
 
2.1%
Other values (118) 274
65.4%
ASCII
ValueCountFrequency (%)
( 26
41.3%
) 26
41.3%
1 2
 
3.2%
8 2
 
3.2%
G 1
 
1.6%
& 1
 
1.6%
C 1
 
1.6%
9 1
 
1.6%
3 1
 
1.6%
6 1
 
1.6%

업종
Text

Distinct36
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-21T10:30:46.344695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length191
Median length85
Mean length36.909091
Min length7

Characters and Unicode

Total characters2436
Distinct characters73
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

Unique25 ?
Unique (%)37.9%

Sample

1st row상ㆍ하수도설비공사업 상ㆍ하수도설비공사업(대업종전환)
2nd row철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)
3rd row철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)
4th row승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)
5th row지반조성ㆍ포장공사업 포장공사업(대업종전환)
ValueCountFrequency (%)
가스ㆍ난방공사업 29
 
12.8%
가스시설시공업 26
 
11.5%
제2종(대업종전환 25
 
11.1%
난방시공업 17
 
7.5%
제3종(대업종전환 13
 
5.8%
철근ㆍ콘크리트공사업(대업종전환 10
 
4.4%
철근ㆍ콘크리트공사업 9
 
4.0%
기계설비ㆍ가스공사업 8
 
3.5%
지반조성ㆍ포장공사업 8
 
3.5%
수중ㆍ준설공사업 7
 
3.1%
Other values (35) 74
32.7%
2024-04-21T10:30:46.757347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 281
 
11.5%
공 181
 
7.4%
160
 
6.6%
사 138
 
5.7%
종 130
 
5.3%
ㆍ 108
 
4.4%
) 101
 
4.1%
( 101
 
4.1%
대 87
 
3.6%
환 87
 
3.6%
Other values (63) 1062
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2031
83.4%
Space Separator 160
 
6.6%
Close Punctuation 101
 
4.1%
Open Punctuation 101
 
4.1%
Decimal Number 43
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 281
 
13.8%
공 181
 
8.9%
사 138
 
6.8%
종 130
 
6.4%
ㆍ 108
 
5.3%
대 87
 
4.3%
환 87
 
4.3%
전 87
 
4.3%
시 77
 
3.8%
설 69
 
3.4%
Other values (57) 786
38.7%
Decimal Number
ValueCountFrequency (%)
2 26
60.5%
3 14
32.6%
1 3
 
7.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2031
83.4%
Common 405
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 281
 
13.8%
공 181
 
8.9%
사 138
 
6.8%
종 130
 
6.4%
ㆍ 108
 
5.3%
대 87
 
4.3%
환 87
 
4.3%
전 87
 
4.3%
시 77
 
3.8%
설 69
 
3.4%
Other values (57) 786
38.7%
Common
ValueCountFrequency (%)
160
39.5%
) 101
24.9%
( 101
24.9%
2 26
 
6.4%
3 14
 
3.5%
1 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1923
78.9%
ASCII 405
 
16.6%
Compat Jamo 108
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 281
 
14.6%
공 181
 
9.4%
사 138
 
7.2%
종 130
 
6.8%
대 87
 
4.5%
환 87
 
4.5%
전 87
 
4.5%
시 77
 
4.0%
설 69
 
3.6%
스 63
 
3.3%
Other values (56) 723
37.6%
ASCII
ValueCountFrequency (%)
160
39.5%
) 101
24.9%
( 101
24.9%
2 26
 
6.4%
3 14
 
3.5%
1 3
 
0.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 108
100.0%

소재지
Text

Distinct63
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-21T10:30:47.038157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length28.318182
Min length15

Characters and Unicode

Total characters1869
Distinct characters108
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

Unique60 ?
Unique (%)90.9%

Sample

1st row부산광역시 영도구 함지로 6 2층 206호 (동삼동)
2nd row부산광역시 영도구 태종로 107 902호,영도오션트라움
3rd row부산광역시 영도구 태종로105번길 6 4층
4th row부산광역시 영도구 대평로 22 지하1층
5th row부산광역시 영도구 태종로 702 상가동106호(동삼동,에덴금호타운)
ValueCountFrequency (%)
영도구 66
 
18.5%
부산광역시 65
 
18.3%
청학동 17
 
4.8%
동삼동 8
 
2.2%
태종로 6
 
1.7%
5
 
1.4%
22 5
 
1.4%
절영로 5
 
1.4%
하나길 4
 
1.1%
대평로 4
 
1.1%
Other values (134) 171
48.0%
2024-04-21T10:30:47.420558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
291
 
15.6%
동 85
 
4.5%
영 85
 
4.5%
산 71
 
3.8%
도 68
 
3.6%
광 68
 
3.6%
구 67
 
3.6%
부 66
 
3.5%
시 66
 
3.5%
역 65
 
3.5%
Other values (98) 937
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1138
60.9%
Space Separator 291
 
15.6%
Decimal Number 276
 
14.8%
Open Punctuation 58
 
3.1%
Close Punctuation 58
 
3.1%
Other Punctuation 31
 
1.7%
Dash Punctuation 14
 
0.7%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 85
 
7.5%
영 85
 
7.5%
산 71
 
6.2%
도 68
 
6.0%
광 68
 
6.0%
구 67
 
5.9%
부 66
 
5.8%
시 66
 
5.8%
역 65
 
5.7%
로 51
 
4.5%
Other values (80) 446
39.2%
Decimal Number
ValueCountFrequency (%)
1 63
22.8%
2 49
17.8%
3 40
14.5%
4 32
11.6%
0 26
9.4%
6 16
 
5.8%
5 14
 
5.1%
7 13
 
4.7%
9 12
 
4.3%
8 11
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
， 2
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1138
60.9%
Common 728
39.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 85
 
7.5%
영 85
 
7.5%
산 71
 
6.2%
도 68
 
6.0%
광 68
 
6.0%
구 67
 
5.9%
부 66
 
5.8%
시 66
 
5.8%
역 65
 
5.7%
로 51
 
4.5%
Other values (80) 446
39.2%
Common
ValueCountFrequency (%)
291
40.0%
1 63
 
8.7%
( 58
 
8.0%
) 58
 
8.0%
2 49
 
6.7%
3 40
 
5.5%
4 32
 
4.4%
, 29
 
4.0%
0 26
 
3.6%
6 16
 
2.2%
Other values (6) 66
 
9.1%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1138
60.9%
ASCII 729
39.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
291
39.9%
1 63
 
8.6%
( 58
 
8.0%
) 58
 
8.0%
2 49
 
6.7%
3 40
 
5.5%
4 32
 
4.4%
, 29
 
4.0%
0 26
 
3.6%
6 16
 
2.2%
Other values (7) 67
 
9.2%
Hangul
ValueCountFrequency (%)
동 85
 
7.5%
영 85
 
7.5%
산 71
 
6.2%
도 68
 
6.0%
광 68
 
6.0%
구 67
 
5.9%
부 66
 
5.8%
시 66
 
5.8%
역 65
 
5.7%
로 51
 
4.5%
Other values (80) 446
39.2%
None
ValueCountFrequency (%)
， 2
100.0%

전화번호
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-04-21T10:30:47.640487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters794
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

Unique64 ?
Unique (%)97.0%

Sample

1st row051-404-5217
2nd row051-418-0046
3rd row051-418-0046
4th row051-516-1103
5th row051-403-6467
ValueCountFrequency (%)
051-418-0046 2
 
3.0%
051-418-4402 1
 
1.5%
051-415-5400 1
 
1.5%
051-418-1338 1
 
1.5%
051-403-9829 1
 
1.5%
070-7781-6805 1
 
1.5%
051-412-2222 1
 
1.5%
051-418-0502 1
 
1.5%
051-418-8306 1
 
1.5%
051-413-3651 1
 
1.5%
Other values (55) 55
83.3%
2024-04-21T10:30:48.013829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 144
18.1%
- 132
16.6%
0 129
16.2%
5 100
12.6%
4 84
10.6%
8 41
 
5.2%
2 40
 
5.0%
7 37
 
4.7%
6 34
 
4.3%
3 33
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 662
83.4%
Dash Punctuation 132
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 144
21.8%
0 129
19.5%
5 100
15.1%
4 84
12.7%
8 41
 
6.2%
2 40
 
6.0%
7 37
 
5.6%
6 34
 
5.1%
3 33
 
5.0%
9 20
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 794
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 144
18.1%
- 132
16.6%
0 129
16.2%
5 100
12.6%
4 84
10.6%
8 41
 
5.2%
2 40
 
5.0%
7 37
 
4.7%
6 34
 
4.3%
3 33
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 794
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 144
18.1%
- 132
16.6%
0 129
16.2%
5 100
12.6%
4 84
10.6%
8 41
 
5.2%
2 40
 
5.0%
7 37
 
4.7%
6 34
 
4.3%
3 33
 
4.2%

위도
Real number (ℝ)

Distinct60
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.087938
Minimum35.063776
Maximum35.096531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-21T10:30:48.166072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.063776
5-th percentile35.070906
Q135.085199
median35.091157
Q335.093217
95-th percentile35.095563
Maximum35.096531
Range0.03275561
Interquartile range (IQR)0.0080176375

Descriptive statistics

Standard deviation0.007801717
Coefficient of variation (CV)0.00022234755
Kurtosis1.3855127
Mean35.087938
Median Absolute Deviation (MAD)0.00287385
Skewness-1.4522395
Sum2315.8039
Variance6.0866789 × 10-5
MonotonicityNot monotonic
2024-04-21T10:30:48.336326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.09377577 3
 
4.5%
35.0921534 2
 
3.0%
35.09125686 2
 
3.0%
35.09463442 2
 
3.0%
35.08519909 2
 
3.0%
35.0708692 1
 
1.5%
35.09069725 1
 
1.5%
35.09099169 1
 
1.5%
35.0924354 1
 
1.5%
35.09233026 1
 
1.5%
Other values (50) 50
75.8%
ValueCountFrequency (%)
35.0637756 1
1.5%
35.06802239 1
1.5%
35.0702345 1
1.5%
35.0708692 1
1.5%
35.07101725 1
1.5%
35.07102655 1
1.5%
35.0713454 1
1.5%
35.0772787 1
1.5%
35.07778619 1
1.5%
35.08080261 1
1.5%
ValueCountFrequency (%)
35.09653121 1
 
1.5%
35.0965306 1
 
1.5%
35.09592679 1
 
1.5%
35.0956267 1
 
1.5%
35.09537159 1
 
1.5%
35.09463442 2
3.0%
35.09441077 1
 
1.5%
35.094051 1
 
1.5%
35.09401162 1
 
1.5%
35.09377577 3
4.5%

경도
Real number (ℝ)

Distinct60
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05305
Minimum129.03417
Maximum129.08197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-04-21T10:30:48.486102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.03417
5-th percentile129.03552
Q1129.04268
median129.04821
Q3129.0647
95-th percentile129.07455
Maximum129.08197
Range0.0478007
Interquartile range (IQR)0.02202415

Descriptive statistics

Standard deviation0.013533806
Coefficient of variation (CV)0.0001048701
Kurtosis-1.1699536
Mean129.05305
Median Absolute Deviation (MAD)0.01181645
Skewness0.37165261
Sum8517.5011
Variance0.00018316389
MonotonicityNot monotonic
2024-04-21T10:30:48.627618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0428987 3
 
4.5%
129.0656565 2
 
3.0%
129.0349594 2
 
3.0%
129.0664346 2
 
3.0%
129.0641184 2
 
3.0%
129.0594249 1
 
1.5%
129.0631371 1
 
1.5%
129.0634809 1
 
1.5%
129.0341737 1
 
1.5%
129.0464116 1
 
1.5%
Other values (50) 50
75.8%
ValueCountFrequency (%)
129.0341737 1
1.5%
129.0349594 2
3.0%
129.0355197 1
1.5%
129.0355204 1
1.5%
129.0360256 1
1.5%
129.0364487 1
1.5%
129.0374965 1
1.5%
129.038014 1
1.5%
129.0384021 1
1.5%
129.0404349 1
1.5%
ValueCountFrequency (%)
129.0819744 1
1.5%
129.0805068 1
1.5%
129.0793307 1
1.5%
129.0756548 1
1.5%
129.0712169 1
1.5%
129.0711747 1
1.5%
129.0702439 1
1.5%
129.0695149 1
1.5%
129.0687035 1
1.5%
129.0685945 1
1.5%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
부산광역시 영도구
66 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 영도구
2nd row부산광역시 영도구
3rd row부산광역시 영도구
4th row부산광역시 영도구
5th row부산광역시 영도구

Common Values

ValueCountFrequency (%)
부산광역시 영도구 66
100.0%

Length

2024-04-21T10:30:48.758116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:30:48.878155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 66
50.0%
영도구 66
50.0%

데이터기준
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2024-04-09 00:00:00
Maximum2024-04-09 00:00:00
2024-04-21T10:30:48.952048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:49.047315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T10:30:45.179895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:44.961947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:45.256358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:30:45.105169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:30:49.115845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호업종소재지전화번호위도경도
상호1.0001.0001.0001.0001.0001.000
업종1.0001.0000.9281.0000.4680.000
소재지1.0000.9281.0000.9931.0001.000
전화번호1.0001.0000.9931.0001.0001.000
위도1.0000.4681.0001.0001.0000.694
경도1.0000.0001.0001.0000.6941.000
2024-04-21T10:30:49.208539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.187
경도-0.1871.000

Missing values

2024-04-21T10:30:45.362334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:30:45.499559image/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

상호업종소재지전화번호위도경도구군명데이터기준
0(주)강민건설상ㆍ하수도설비공사업 상ㆍ하수도설비공사업(대업종전환)부산광역시 영도구 함지로 6 2층 206호 (동삼동)051-404-521735.070869129.059425부산광역시 영도구2024-04-09
1(주)경보건업철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)부산광역시 영도구 태종로 107 902호,영도오션트라움051-418-004635.091308129.042708부산광역시 영도구2024-04-09
2(주)경보이엔씨철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)부산광역시 영도구 태종로105번길 6 4층051-418-004635.091608129.042688부산광역시 영도구2024-04-09
3(주)뉴엔지니어링승강기ㆍ삭도공사업 승강기설치공사업(대업종전환)부산광역시 영도구 대평로 22 지하1층051-516-110335.091257129.034959부산광역시 영도구2024-04-09
4(주)다용건설지반조성ㆍ포장공사업 포장공사업(대업종전환)부산광역시 영도구 태종로 702 상가동106호(동삼동,에덴금호타운)051-403-646735.071017129.075655부산광역시 영도구2024-04-09
5(주)대조이앤씨지반조성ㆍ포장공사업 수중ㆍ준설공사업 조경식재공사업(폐업) 상ㆍ하수도설비공사업(폐업) 철근ㆍ콘크리트공사업(폐업) 철근ㆍ콘크리트공사업(폐업) 토공사업(폐업) 수중공사업(폐업) 수중공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환)부산광역시 영도구 절영로 11 9층(봉래동1가, 금용빌딩)070-7510-735135.093207129.040441부산광역시 영도구2024-04-09
6(주)덕성해양개발금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 수중ㆍ준설공사업 철근ㆍ콘크리트공사업 수중공사업(대업종전환) 금속구조물ㆍ창호ㆍ온실공사업(대업종전환) 철근ㆍ콘크리트공사업(대업종전환)부산광역시 영도구 대평로 22， 3층(대평동1가)051-414-865535.091257129.034959부산광역시 영도구2024-04-09
7(주)민지조경조경식재ㆍ시설물공사업 조경식재공사업(대업종전환) 조경시설물설치공사업(대업종전환)부산광역시 영도구 산업로 23, 4층 (청학동, 일신빌딩)051-412-364035.094634129.066435부산광역시 영도구2024-04-09
8(주)에이치제이중공업기계설비ㆍ가스공사업 수중ㆍ준설공사업 철강구조물공사업 시설물유지관리업 철강재설치공사업(대업종전환) 준설공사업(대업종전환) 가스시설시공업 제1종(대업종전환)부산 영도구 태종로 233 (봉래동5가)051-410-344935.096531129.050304부산광역시 영도구2024-04-09
9(주)우창해사수중ㆍ준설공사업 철근ㆍ콘크리트공사업 지반조성ㆍ포장공사업 철근ㆍ콘크리트공사업(대업종전환) 수중공사업(대업종전환) 토공사업(대업종전환)부산광역시 영도구 절영로 11,금용빌딩4층(봉래동1가, 우창해사)051-418-199535.09322129.040435부산광역시 영도구2024-04-09
상호업종소재지전화번호위도경도구군명데이터기준
56주식회사예스엘리베이터승강기ㆍ삭도공사업부산광역시 영도구 태종로 417 , 5층(청학동, 동영빌딩) (청학동)051-415-207935.090395129.066655부산광역시 영도구2024-04-09
57주식회사오성수중ㆍ준설공사업부산광역시 영도구 대평로 16 , 상가1동 1호(대평동1가, 대동대교맨션)051-581-541835.091465129.036026부산광역시 영도구2024-04-09
58주식회사우린토건지반조성ㆍ포장공사업부산광역시 영도구 태종로65번길 5051-413-774635.093066129.038402부산광역시 영도구2024-04-09
59주식회사우주이엔씨철근ㆍ콘크리트공사업 철근ㆍ콘크리트공사업(대업종전환)부산광역시 영도구 태종로 738 101호(동삼동, 병산오션빌) (동삼동)051-465-900735.070234129.079331부산광역시 영도구2024-04-09
60청룡아이엔디주식회사기계설비ㆍ가스공사업 기계설비공사업(대업종전환)부산광역시 영도구 해양로 194 (청학동)051-412-049135.08871129.071217부산광역시 영도구2024-04-09
61한국메탈기계(주)기계설비ㆍ가스공사업 기계설비공사업(대업종전환)부산광역시 영도구 남항남로9번길 11 (남항동3가)051-417-700835.086195129.03552부산광역시 영도구2024-04-09
62한독설비가스ㆍ난방공사업 가스시설시공업 제3종(대업종전환) 난방시공업 제2종(대업종전환)부산광역시 영도구 절영로 488 (동삼동)051-403-976935.071027129.069515부산광역시 영도구2024-04-09
63한라건업가스ㆍ난방공사업 난방시공업 제2종(대업종전환) 가스시설시공업 제3종(대업종전환)부산광역시 영도구 중복길 330 1층051-417-046935.087499129.044277부산광역시 영도구2024-04-09
64한주가스가스ㆍ난방공사업 가스시설시공업 제2종(대업종전환)부산광역시 영도구 일산봉로37번길 20-6 (청학동)051-418-606735.085199129.064118부산광역시 영도구2024-04-09
65형제건축설비공사가스ㆍ난방공사업 가스시설시공업 제3종(폐업) 난방시공업 제2종(대업종전환) 가스시설시공업 제2종(대업종전환)부산광역시 영도구 봉래길 2051-414-765435.088385129.047118부산광역시 영도구2024-04-09