Overview

Dataset statistics

Number of variables8
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory67.3 B

Variable types

Numeric2
Categorical3
Text3

Dataset

Description안동시에서 예정된 굴착공사의 허가 신청자, 공사명, 도로굴착위치(공사구간), 굴착길이(m) 에 대한 정보를 제공합니다.
Author경상북도 안동시
URLhttps://www.data.go.kr/data/15099639/fileData.do

Alerts

연번 is highly overall correlated with 신청인 and 1 other fieldsHigh correlation
사업량(m) is highly overall correlated with 도로구분High correlation
신청인 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
도로구분 is highly overall correlated with 사업량(m) and 1 other fieldsHigh correlation
도로굴착허가심의시기 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-16 16:17:32.845603
Analysis finished2024-04-16 16:17:35.813374
Duration2.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T01:17:35.894593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2024-04-17T01:17:36.014954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

신청인
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size956.0 B
상하수도과
26 
(주)대성청정에너지
17 
한국농어촌공사
17 
국군지휘통신사령부
12 
상수도과
12 
Other values (7)
19 

Length

Max length11
Median length10
Mean length6.7864078
Min length4

Unique

Unique4 ?
Unique (%)3.9%

Sample

1st row(주)대성청정에너지
2nd row(주)대성청정에너지
3rd row(주)대성청정에너지
4th row(주)대성청정에너지
5th row(주)대성청정에너지

Common Values

ValueCountFrequency (%)
상하수도과 26
25.2%
(주)대성청정에너지 17
16.5%
한국농어촌공사 17
16.5%
국군지휘통신사령부 12
11.7%
상수도과 12
11.7%
공원녹지과 9
 
8.7%
한국전력공사 경북본부 4
 
3.9%
한국전력공사 2
 
1.9%
LG유플러스 1
 
1.0%
오케이에프㈜ 1
 
1.0%
Other values (2) 2
 
1.9%

Length

2024-04-17T01:17:36.134004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상하수도과 26
24.3%
주)대성청정에너지 17
15.9%
한국농어촌공사 17
15.9%
국군지휘통신사령부 12
11.2%
상수도과 12
11.2%
공원녹지과 9
 
8.4%
한국전력공사 6
 
5.6%
경북본부 4
 
3.7%
lg유플러스 1
 
0.9%
오케이에프㈜ 1
 
0.9%
Other values (2) 2
 
1.9%
Distinct72
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-04-17T01:17:36.315020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length19.796117
Min length10

Characters and Unicode

Total characters2039
Distinct characters183
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)66.0%

Sample

1st row안동한화3길 공급관공사
2nd row안동평화9길 공급관공사
3rd row안동어가골아랫길 공급관공사
4th row안동새골길 공급관공사
5th row안동금곡아랫1길 공급관공사
ValueCountFrequency (%)
관로공사 18
 
5.0%
상사골지구(와룡면 17
 
4.7%
용수공급확대 17
 
4.7%
산야리 17
 
4.7%
교체공사 17
 
4.7%
공급관공사 14
 
3.9%
급수구역 12
 
3.3%
차기 12
 
3.3%
국방광대역통합망(m-bcn)구축공사 12
 
3.3%
확장사업 11
 
3.0%
Other values (146) 214
59.3%
2024-04-17T01:17:36.631373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
12.7%
124
 
6.1%
120
 
5.9%
64
 
3.1%
61
 
3.0%
60
 
2.9%
53
 
2.6%
50
 
2.5%
48
 
2.4%
44
 
2.2%
Other values (173) 1157
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1600
78.5%
Space Separator 258
 
12.7%
Uppercase Letter 44
 
2.2%
Open Punctuation 35
 
1.7%
Close Punctuation 35
 
1.7%
Decimal Number 31
 
1.5%
Dash Punctuation 16
 
0.8%
Lowercase Letter 12
 
0.6%
Math Symbol 4
 
0.2%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
124
 
7.8%
120
 
7.5%
64
 
4.0%
61
 
3.8%
60
 
3.8%
53
 
3.3%
50
 
3.1%
48
 
3.0%
44
 
2.8%
35
 
2.2%
Other values (152) 941
58.8%
Decimal Number
ValueCountFrequency (%)
1 11
35.5%
2 6
19.4%
3 4
 
12.9%
8 3
 
9.7%
6 2
 
6.5%
5 2
 
6.5%
9 2
 
6.5%
7 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
N 12
27.3%
B 12
27.3%
M 12
27.3%
L 3
 
6.8%
S 3
 
6.8%
D 2
 
4.5%
Space Separator
ValueCountFrequency (%)
258
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1600
78.5%
Common 383
 
18.8%
Latin 56
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
124
 
7.8%
120
 
7.5%
64
 
4.0%
61
 
3.8%
60
 
3.8%
53
 
3.3%
50
 
3.1%
48
 
3.0%
44
 
2.8%
35
 
2.2%
Other values (152) 941
58.8%
Common
ValueCountFrequency (%)
258
67.4%
( 35
 
9.1%
) 35
 
9.1%
- 16
 
4.2%
1 11
 
2.9%
2 6
 
1.6%
3 4
 
1.0%
~ 4
 
1.0%
/ 4
 
1.0%
8 3
 
0.8%
Other values (4) 7
 
1.8%
Latin
ValueCountFrequency (%)
N 12
21.4%
c 12
21.4%
B 12
21.4%
M 12
21.4%
L 3
 
5.4%
S 3
 
5.4%
D 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1600
78.5%
ASCII 439
 
21.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
58.8%
( 35
 
8.0%
) 35
 
8.0%
- 16
 
3.6%
N 12
 
2.7%
c 12
 
2.7%
B 12
 
2.7%
M 12
 
2.7%
1 11
 
2.5%
2 6
 
1.4%
Other values (11) 30
 
6.8%
Hangul
ValueCountFrequency (%)
124
 
7.8%
120
 
7.5%
64
 
4.0%
61
 
3.8%
60
 
3.8%
53
 
3.3%
50
 
3.1%
48
 
3.0%
44
 
2.8%
35
 
2.2%
Other values (152) 941
58.8%
Distinct96
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-04-17T01:17:36.895380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length18.601942
Min length12

Characters and Unicode

Total characters1916
Distinct characters90
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)89.3%

Sample

1st row경상북도 안동시 안기동 151-20
2nd row경상북도 안동시 평화동 172-20
3rd row경상북도 안동시 태화동 269
4th row경상북도 안동시 운안동 174-1
5th row경상북도 안동시 금곡동 7-9
ValueCountFrequency (%)
안동시 104
24.4%
경상북도 103
24.1%
와룡면 18
 
4.2%
산야리 17
 
4.0%
풍산읍 14
 
3.3%
용상동 9
 
2.1%
송현동 5
 
1.2%
오미리 4
 
0.9%
북후면 4
 
0.9%
태화동 4
 
0.9%
Other values (124) 145
34.0%
2024-04-17T01:17:37.273684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
340
17.7%
158
 
8.2%
117
 
6.1%
115
 
6.0%
108
 
5.6%
106
 
5.5%
105
 
5.5%
104
 
5.4%
1 72
 
3.8%
- 62
 
3.2%
Other values (80) 629
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1194
62.3%
Space Separator 340
 
17.7%
Decimal Number 314
 
16.4%
Dash Punctuation 62
 
3.2%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
158
13.2%
117
9.8%
115
9.6%
108
9.0%
106
8.9%
105
8.8%
104
8.7%
57
 
4.8%
46
 
3.9%
34
 
2.8%
Other values (66) 244
20.4%
Decimal Number
ValueCountFrequency (%)
1 72
22.9%
2 51
16.2%
3 34
10.8%
5 31
9.9%
6 24
 
7.6%
4 23
 
7.3%
7 22
 
7.0%
8 20
 
6.4%
0 19
 
6.1%
9 18
 
5.7%
Space Separator
ValueCountFrequency (%)
340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1194
62.3%
Common 722
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
158
13.2%
117
9.8%
115
9.6%
108
9.0%
106
8.9%
105
8.8%
104
8.7%
57
 
4.8%
46
 
3.9%
34
 
2.8%
Other values (66) 244
20.4%
Common
ValueCountFrequency (%)
340
47.1%
1 72
 
10.0%
- 62
 
8.6%
2 51
 
7.1%
3 34
 
4.7%
5 31
 
4.3%
6 24
 
3.3%
4 23
 
3.2%
7 22
 
3.0%
8 20
 
2.8%
Other values (4) 43
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1194
62.3%
ASCII 722
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
340
47.1%
1 72
 
10.0%
- 62
 
8.6%
2 51
 
7.1%
3 34
 
4.7%
5 31
 
4.3%
6 24
 
3.3%
4 23
 
3.2%
7 22
 
3.0%
8 20
 
2.8%
Other values (4) 43
 
6.0%
Hangul
ValueCountFrequency (%)
158
13.2%
117
9.8%
115
9.6%
108
9.0%
106
8.9%
105
8.8%
104
8.7%
57
 
4.8%
46
 
3.9%
34
 
2.8%
Other values (66) 244
20.4%
Distinct96
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-04-17T01:17:37.540890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length18.349515
Min length12

Characters and Unicode

Total characters1890
Distinct characters92
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)90.3%

Sample

1st row경상북도 안동시 안기동 109-38
2nd row경상북도 안동시 평화동 71-14
3rd row경상북도 안동시 태화동 578-10
4th row경상북도 안동시 운안동 337-30
5th row경상북도 안동시 금곡동 31-7
ValueCountFrequency (%)
경상북도 103
24.6%
안동시 103
24.6%
와룡면 18
 
4.3%
산야리 17
 
4.1%
풍산읍 15
 
3.6%
용상동 9
 
2.1%
송현동 5
 
1.2%
태화동 4
 
1.0%
일직면 3
 
0.7%
북후면 3
 
0.7%
Other values (124) 139
33.2%
2024-04-17T01:17:37.924857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
335
17.7%
157
 
8.3%
119
 
6.3%
114
 
6.0%
107
 
5.7%
105
 
5.6%
105
 
5.6%
103
 
5.4%
1 60
 
3.2%
55
 
2.9%
Other values (82) 630
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1192
63.1%
Space Separator 335
 
17.7%
Decimal Number 303
 
16.0%
Dash Punctuation 54
 
2.9%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
157
13.2%
119
10.0%
114
9.6%
107
9.0%
105
8.8%
105
8.8%
103
8.6%
55
 
4.6%
47
 
3.9%
34
 
2.9%
Other values (68) 246
20.6%
Decimal Number
ValueCountFrequency (%)
1 60
19.8%
2 33
10.9%
5 32
10.6%
3 32
10.6%
6 31
10.2%
9 29
9.6%
0 28
9.2%
4 21
 
6.9%
8 20
 
6.6%
7 17
 
5.6%
Space Separator
ValueCountFrequency (%)
335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1192
63.1%
Common 698
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
157
13.2%
119
10.0%
114
9.6%
107
9.0%
105
8.8%
105
8.8%
103
8.6%
55
 
4.6%
47
 
3.9%
34
 
2.9%
Other values (68) 246
20.6%
Common
ValueCountFrequency (%)
335
48.0%
1 60
 
8.6%
- 54
 
7.7%
2 33
 
4.7%
5 32
 
4.6%
3 32
 
4.6%
6 31
 
4.4%
9 29
 
4.2%
0 28
 
4.0%
4 21
 
3.0%
Other values (4) 43
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1192
63.1%
ASCII 698
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
335
48.0%
1 60
 
8.6%
- 54
 
7.7%
2 33
 
4.7%
5 32
 
4.6%
3 32
 
4.6%
6 31
 
4.4%
9 29
 
4.2%
0 28
 
4.0%
4 21
 
3.0%
Other values (4) 43
 
6.2%
Hangul
ValueCountFrequency (%)
157
13.2%
119
10.0%
114
9.6%
107
9.0%
105
8.8%
105
8.8%
103
8.6%
55
 
4.6%
47
 
3.9%
34
 
2.9%
Other values (68) 246
20.6%

사업량(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1362.6117
Minimum28
Maximum20239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T01:17:38.060797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile94.6
Q1243
median519
Q31163
95-th percentile5895.7
Maximum20239
Range20211
Interquartile range (IQR)920

Descriptive statistics

Standard deviation2922.1449
Coefficient of variation (CV)2.1445178
Kurtosis25.460435
Mean1362.6117
Median Absolute Deviation (MAD)351
Skewness4.739395
Sum140349
Variance8538930.7
MonotonicityNot monotonic
2024-04-17T01:17:38.193893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 3
 
2.9%
100 2
 
1.9%
200 2
 
1.9%
110 2
 
1.9%
320 1
 
1.0%
1302 1
 
1.0%
519 1
 
1.0%
572 1
 
1.0%
268 1
 
1.0%
764 1
 
1.0%
Other values (88) 88
85.4%
ValueCountFrequency (%)
28 1
1.0%
30 1
1.0%
33 1
1.0%
50 1
1.0%
88 1
1.0%
94 1
1.0%
100 2
1.9%
102 1
1.0%
105 1
1.0%
110 2
1.9%
ValueCountFrequency (%)
20239 1
1.0%
17439 1
1.0%
8481 1
1.0%
8251 1
1.0%
6330 1
1.0%
5896 1
1.0%
5893 1
1.0%
4165 1
1.0%
3130 1
1.0%
2872 1
1.0%

도로구분
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
도시계획도로
45 
지방도924호선
군도27호선
군도27호선~비법정
리도210호선
 
3
Other values (28)
35 

Length

Max length20
Median length6
Mean length7.2038835
Min length3

Unique

Unique23 ?
Unique (%)22.3%

Sample

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

Common Values

ValueCountFrequency (%)
도시계획도로 45
43.7%
지방도924호선 8
 
7.8%
군도27호선 6
 
5.8%
군도27호선~비법정 6
 
5.8%
리도210호선 3
 
2.9%
지방도928 3
 
2.9%
<NA> 3
 
2.9%
비법정 도로 2
 
1.9%
리도206호선 2
 
1.9%
지방도914호선 2
 
1.9%
Other values (23) 23
22.3%

Length

2024-04-17T01:17:38.319909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도시계획도로 49
41.2%
지방도924호선 8
 
6.7%
군도27호선 6
 
5.0%
군도27호선~비법정 6
 
5.0%
5
 
4.2%
지방도928 3
 
2.5%
지방도914호선 3
 
2.5%
na 3
 
2.5%
리도210호선 3
 
2.5%
비법정 2
 
1.7%
Other values (28) 31
26.1%

도로굴착허가심의시기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023년 상반기
78 
2023년 하반기
25 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023년 상반기
2nd row2023년 상반기
3rd row2023년 상반기
4th row2023년 상반기
5th row2023년 상반기

Common Values

ValueCountFrequency (%)
2023년 상반기 78
75.7%
2023년 하반기 25
 
24.3%

Length

2024-04-17T01:17:38.419780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T01:17:38.498408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023년 103
50.0%
상반기 78
37.9%
하반기 25
 
12.1%

Interactions

2024-04-17T01:17:35.432391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:17:35.237486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:17:35.505839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T01:17:35.349227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T01:17:38.563949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신청인사업명시작지종점지사업량(m)도로구분도로굴착허가심의시기
연번1.0000.8740.9150.9510.9090.2080.8250.993
신청인0.8741.0000.9990.9960.9890.7010.9000.968
사업명0.9150.9991.0000.9330.0000.9790.9640.973
시작지0.9510.9960.9331.0001.0001.0000.9951.000
종점지0.9090.9890.0001.0001.0001.0001.0000.928
사업량(m)0.2080.7010.9791.0001.0001.0000.9800.260
도로구분0.8250.9000.9640.9951.0000.9801.0000.661
도로굴착허가심의시기0.9930.9680.9731.0000.9280.2600.6611.000
2024-04-17T01:17:38.667395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로굴착허가심의시기신청인도로구분
도로굴착허가심의시기1.0000.8070.443
신청인0.8071.0000.504
도로구분0.4430.5041.000
2024-04-17T01:17:38.757359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업량(m)신청인도로구분도로굴착허가심의시기
연번1.0000.1100.6120.4030.890
사업량(m)0.1101.0000.4250.7610.270
신청인0.6120.4251.0000.5040.807
도로구분0.4030.7610.5041.0000.443
도로굴착허가심의시기0.8900.2700.8070.4431.000

Missing values

2024-04-17T01:17:35.621638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T01:17:35.752291image/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

연번신청인사업명시작지종점지사업량(m)도로구분도로굴착허가심의시기
01(주)대성청정에너지안동한화3길 공급관공사경상북도 안동시 안기동 151-20경상북도 안동시 안기동 109-38320도시계획도로2023년 상반기
12(주)대성청정에너지안동평화9길 공급관공사경상북도 안동시 평화동 172-20경상북도 안동시 평화동 71-14300도시계획도로2023년 상반기
23(주)대성청정에너지안동어가골아랫길 공급관공사경상북도 안동시 태화동 269경상북도 안동시 태화동 578-10480도시계획도로2023년 상반기
34(주)대성청정에너지안동새골길 공급관공사경상북도 안동시 운안동 174-1경상북도 안동시 운안동 337-30260도시계획도로2023년 상반기
45(주)대성청정에너지안동금곡아랫1길 공급관공사경상북도 안동시 금곡동 7-9경상북도 안동시 금곡동 31-7200도시계획도로2023년 상반기
56(주)대성청정에너지안동풍산안교1길 공급관공사경상북도 안동시 풍산읍 안교리 123-217경상북도 안동시 풍산읍 안교리 1399-6460도시계획도로2023년 상반기
67(주)대성청정에너지안동제비원로257 공급관공사경상북도 안동시 안기동 176경상북도 안동시 안기동 180-2110도시계획도로2023년 상반기
78(주)대성청정에너지안동감나무1길18 공급관공사경상북도 안동시 태화동 665-24경상북도 안동시 태화동 662-2110도시계획도로2023년 상반기
89(주)대성청정에너지안동태화1길 공급관공사경상북도 안동시 태화동 269경상북도 안동시 태화동 269230도시계획도로2023년 상반기
910(주)대성청정에너지안동명륜1길 공급관공사경상북도 안동시 명륜동 332-13경상북도 안동시 명륜동 330-4240도시계획도로2023년 상반기
연번신청인사업명시작지종점지사업량(m)도로구분도로굴착허가심의시기
9394상수도과옹천~평은간 배수관로 확장공사경상북도 안동시 북후면 옹천리 339-2경상북도 안동시 북후면 옹천리 314-2540지방도9282023년 하반기
9495상수도과안막동 북순환로 급수관로 설치공사경상북도 안동시 안막동 526-1경상북도 안동시 안막동 산97-6418도시계획도로2023년 하반기
9596상수도과와룡면 산야2리 급수구역 확장사업경상북도 안동시 와룡면 산야리 1082-2경상북도 안동시 와룡면 가류리 산94-16330군도27, 리도210, 농도3122023년 하반기
9697상수도과정상동 충효로 급수구역 확장사업경상북도 안동시 정상동 752-2경상북도 안동시 정상동 산38-2625국도35, 도시계획도로2023년 하반기
9798상수도과임하면 천전리 급수구역 확장사업경상북도 안동시 천전리 131-1경상북도 안동시 천전리 279-7942국도52023년 하반기
9899상수도과남선면 구미리 (기밀골) 급수구역 확장사업경상북도 안동시 구미리 129-1경상북도 안동시 구미리 586499농도3112023년 하반기
99100상수도과낙동강변 분수광장 조성에 따른 신설급수공사경상북도 안동시 운흥동 300-5경상북도 안동시 운흥동 300-528도시계획도로2023년 하반기
100101상수도과송현동 경북대로(송현2주공) 상수도 신설공사경상북도 안동시 송현동 354-15경상북도 안동시 송현동 370-2307도시계획도로, 국도5(동구간)2023년 하반기
101102상수도과녹전면 죽송리(녹지로) 상수도관로 설치공사경상북도 안동시 녹전면 죽송리 471-3경상북도 안동시 녹전면 죽송리 471-5130지방도9282023년 하반기
102103하수도과옥동~버스터미널 상하수도 설치공사경상북도 안동시 송현동 산161-10경상북도 안동시 송현동 916-111508도시계획도로2023년 하반기