Overview

Dataset statistics

Number of variables11
Number of observations1618
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.2 KiB
Average record size in memory95.1 B

Variable types

Categorical5
Numeric6

Dataset

Description대전광역시 도로관리시스템에 등재된 가로등제어기 현황입니다. ※ 2022년 공공데이터 기업 매칭 지원사업으로 청년 인턴을 통해 구축·정비된 데이터입니다. 법적 효력이 없으므로 참고 목적으로만 활용하시기 바랍니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15110067/fileData.do

Alerts

지형지물부호 has constant value ""Constant
부착방식 has constant value ""Constant
대장초기화여부 has constant value ""Constant
제어함구분 has constant value ""Constant
관리번호 is highly overall correlated with 가로등제어기관리번호 and 1 other fieldsHigh correlation
도엽번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
가로등제어기관리번호 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 도엽번호High correlation
경도 is highly overall correlated with 행정읍면동High correlation
행정읍면동 is highly overall correlated with 관리번호 and 3 other fieldsHigh correlation
관리번호 has unique valuesUnique
가로등제어기관리번호 has unique valuesUnique

Reproduction

Analysis started2024-04-20 20:27:32.796557
Analysis finished2024-04-20 20:27:42.741759
Duration9.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물부호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
가로등제어기
1618 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가로등제어기 1618
100.0%

Length

2024-04-21T05:27:42.939924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:27:43.256303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가로등제어기 1618
100.0%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1618
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean818.06057
Minimum1
Maximum1627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-21T05:27:43.591799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile87.85
Q1414.25
median818.5
Q31222.75
95-th percentile1546.15
Maximum1627
Range1626
Interquartile range (IQR)808.5

Descriptive statistics

Standard deviation467.93699
Coefficient of variation (CV)0.57200776
Kurtosis-1.1946166
Mean818.06057
Median Absolute Deviation (MAD)404.5
Skewness-0.0046860601
Sum1323622
Variance218965.03
MonotonicityStrictly increasing
2024-04-21T05:27:44.048881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1086 1
 
0.1%
1096 1
 
0.1%
1095 1
 
0.1%
1094 1
 
0.1%
1093 1
 
0.1%
1092 1
 
0.1%
1091 1
 
0.1%
1090 1
 
0.1%
1089 1
 
0.1%
Other values (1608) 1608
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1627 1
0.1%
1626 1
0.1%
1625 1
0.1%
1624 1
0.1%
1623 1
0.1%
1622 1
0.1%
1621 1
0.1%
1620 1
0.1%
1619 1
0.1%
1618 1
0.1%

행정읍면동
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
대전광역시 유성구
617 
대전광역시 서구
383 
대전광역시 중구
260 
대전광역시 동구
191 
대전광역시 대덕구
167 

Length

Max length10
Median length9
Mean length9.4845488
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 대덕구
2nd row대전광역시 대덕구
3rd row대전광역시 대덕구
4th row대전광역시 대덕구
5th row대전광역시 동구

Common Values

ValueCountFrequency (%)
대전광역시 유성구 617
38.1%
대전광역시 서구 383
23.7%
대전광역시 중구 260
16.1%
대전광역시 동구 191
 
11.8%
대전광역시 대덕구 167
 
10.3%

Length

2024-04-21T05:27:44.479004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:27:44.812497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 1618
50.0%
유성구 617
 
19.1%
서구 383
 
11.8%
중구 260
 
8.0%
동구 191
 
5.9%
대덕구 167
 
5.2%

도엽번호
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36710061
Minimum36710017
Maximum36710099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-21T05:27:45.212160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36710017
5-th percentile36710028
Q136710054
median36710064
Q336710074
95-th percentile36710084
Maximum36710099
Range82
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.019602
Coefficient of variation (CV)4.363818 × 10-7
Kurtosis-0.084177258
Mean36710061
Median Absolute Deviation (MAD)10
Skewness-0.47818526
Sum5.9396879 × 1010
Variance256.62766
MonotonicityNot monotonic
2024-04-21T05:27:45.640048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
36710054 97
 
6.0%
36710064 95
 
5.9%
36710067 91
 
5.6%
36710043 88
 
5.4%
36710068 87
 
5.4%
36710055 82
 
5.1%
36710076 82
 
5.1%
36710063 63
 
3.9%
36710066 63
 
3.9%
36710084 52
 
3.2%
Other values (38) 818
50.6%
ValueCountFrequency (%)
36710017 4
 
0.2%
36710018 12
 
0.7%
36710019 2
 
0.1%
36710026 36
2.2%
36710027 20
1.2%
36710028 29
1.8%
36710029 2
 
0.1%
36710035 8
 
0.5%
36710036 24
1.5%
36710037 32
2.0%
ValueCountFrequency (%)
36710099 9
 
0.6%
36710096 2
 
0.1%
36710094 2
 
0.1%
36710089 23
1.4%
36710087 5
 
0.3%
36710086 32
2.0%
36710085 2
 
0.1%
36710084 52
3.2%
36710083 13
 
0.8%
36710079 38
2.3%

도로구간번호
Real number (ℝ)

Distinct1384
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44215.143
Minimum1158
Maximum134840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-21T05:27:46.043715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1158
5-th percentile14397
Q124089
median35550.5
Q346670
95-th percentile117140.05
Maximum134840
Range133682
Interquartile range (IQR)22581

Descriptive statistics

Standard deviation29908.85
Coefficient of variation (CV)0.67643906
Kurtosis1.43164
Mean44215.143
Median Absolute Deviation (MAD)11140
Skewness1.4771371
Sum71540101
Variance8.9453928 × 108
MonotonicityNot monotonic
2024-04-21T05:27:46.498642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13170 7
 
0.4%
42897 5
 
0.3%
46641 5
 
0.3%
31696 4
 
0.2%
111631 4
 
0.2%
43406 4
 
0.2%
26905 4
 
0.2%
47013 4
 
0.2%
46679 4
 
0.2%
43364 3
 
0.2%
Other values (1374) 1574
97.3%
ValueCountFrequency (%)
1158 1
0.1%
1884 1
0.1%
1940 1
0.1%
2406 1
0.1%
2474 1
0.1%
2487 2
0.1%
2630 1
0.1%
2803 1
0.1%
3153 1
0.1%
3164 1
0.1%
ValueCountFrequency (%)
134840 1
0.1%
134823 1
0.1%
134814 1
0.1%
134788 1
0.1%
134765 1
0.1%
134756 1
0.1%
133171 1
0.1%
133007 1
0.1%
132309 1
0.1%
132286 1
0.1%

가로등제어기관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1618
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean818.06057
Minimum1
Maximum1627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-21T05:27:46.913805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile87.85
Q1414.25
median818.5
Q31222.75
95-th percentile1546.15
Maximum1627
Range1626
Interquartile range (IQR)808.5

Descriptive statistics

Standard deviation467.93699
Coefficient of variation (CV)0.57200776
Kurtosis-1.1946166
Mean818.06057
Median Absolute Deviation (MAD)404.5
Skewness-0.0046860601
Sum1323622
Variance218965.03
MonotonicityStrictly increasing
2024-04-21T05:27:47.362826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1086 1
 
0.1%
1096 1
 
0.1%
1095 1
 
0.1%
1094 1
 
0.1%
1093 1
 
0.1%
1092 1
 
0.1%
1091 1
 
0.1%
1090 1
 
0.1%
1089 1
 
0.1%
Other values (1608) 1608
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1627 1
0.1%
1626 1
0.1%
1625 1
0.1%
1624 1
0.1%
1623 1
0.1%
1622 1
0.1%
1621 1
0.1%
1620 1
0.1%
1619 1
0.1%
1618 1
0.1%

부착방식
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
미분류
1618 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 1618
100.0%

Length

2024-04-21T05:27:47.788529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:27:48.097905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 1618
100.0%

대장초기화여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
1
1618 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1618
100.0%

Length

2024-04-21T05:27:48.421929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:27:48.940447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1618
100.0%

제어함구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.8 KiB
미분류
1618 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미분류 1618
100.0%

Length

2024-04-21T05:27:49.258313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T05:27:49.574301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미분류 1618
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1617
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.349084
Minimum36.250552
Maximum36.47495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-21T05:27:49.917681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.250552
5-th percentile36.295346
Q136.321474
median36.343263
Q336.369339
95-th percentile36.429129
Maximum36.47495
Range0.22439872
Interquartile range (IQR)0.047865835

Descriptive statistics

Standard deviation0.039100775
Coefficient of variation (CV)0.0010757018
Kurtosis0.22694848
Mean36.349084
Median Absolute Deviation (MAD)0.02413337
Skewness0.67647376
Sum58812.819
Variance0.0015288706
MonotonicityNot monotonic
2024-04-21T05:27:50.348946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.34873249 2
 
0.1%
36.35453879 1
 
0.1%
36.30230416 1
 
0.1%
36.29517494 1
 
0.1%
36.29920828 1
 
0.1%
36.30492947 1
 
0.1%
36.3051262 1
 
0.1%
36.3087926 1
 
0.1%
36.29219858 1
 
0.1%
36.29416676 1
 
0.1%
Other values (1607) 1607
99.3%
ValueCountFrequency (%)
36.25055159 1
0.1%
36.25460006 1
0.1%
36.27050274 1
0.1%
36.27084603 1
0.1%
36.27093018 1
0.1%
36.27104096 1
0.1%
36.27203313 1
0.1%
36.27298758 1
0.1%
36.2737135 1
0.1%
36.27373822 1
0.1%
ValueCountFrequency (%)
36.47495031 1
0.1%
36.46832402 1
0.1%
36.45564355 1
0.1%
36.45543431 1
0.1%
36.45388583 1
0.1%
36.45302941 1
0.1%
36.45299123 1
0.1%
36.45227615 1
0.1%
36.4518585 1
0.1%
36.45115621 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1617
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.37753
Minimum127.29225
Maximum127.47444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2024-04-21T05:27:50.754619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.29225
5-th percentile127.30765
Q1127.34029
median127.37797
Q3127.41523
95-th percentile127.45153
Maximum127.47444
Range0.1821909
Interquartile range (IQR)0.074946875

Descriptive statistics

Standard deviation0.045315273
Coefficient of variation (CV)0.00035575563
Kurtosis-1.0349798
Mean127.37753
Median Absolute Deviation (MAD)0.037623
Skewness0.10251216
Sum206096.84
Variance0.0020534739
MonotonicityNot monotonic
2024-04-21T05:27:51.204201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.4045171 2
 
0.1%
127.3378197 1
 
0.1%
127.3301364 1
 
0.1%
127.3349979 1
 
0.1%
127.3532715 1
 
0.1%
127.3538504 1
 
0.1%
127.3671972 1
 
0.1%
127.3378847 1
 
0.1%
127.3360967 1
 
0.1%
127.3385029 1
 
0.1%
Other values (1607) 1607
99.3%
ValueCountFrequency (%)
127.2922525 1
0.1%
127.2922735 1
0.1%
127.2937215 1
0.1%
127.2954766 1
0.1%
127.2956259 1
0.1%
127.2956528 1
0.1%
127.2959729 1
0.1%
127.2961017 1
0.1%
127.2963996 1
0.1%
127.2965489 1
0.1%
ValueCountFrequency (%)
127.4744434 1
0.1%
127.4720304 1
0.1%
127.4717671 1
0.1%
127.4715518 1
0.1%
127.4714875 1
0.1%
127.4713436 1
0.1%
127.4712349 1
0.1%
127.4708481 1
0.1%
127.4707698 1
0.1%
127.4703405 1
0.1%

Interactions

2024-04-21T05:27:40.246199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:33.436259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:34.486706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:35.525773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:36.835690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:38.727684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:40.543500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:33.617930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:34.657657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:35.705919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:37.120644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:39.009064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:40.810181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:33.780558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:34.819623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:35.869430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:37.384562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:39.196621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:41.091558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:33.956835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:35.013057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:36.171681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:37.872650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:39.432049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:41.373953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:34.140751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:35.188701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:36.431214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:38.154221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:39.716928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:41.635236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:34.302183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:35.337207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:36.592542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:38.418825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T05:27:39.972435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T05:27:51.480697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호행정읍면동도엽번호도로구간번호가로등제어기관리번호위도경도
관리번호1.0000.9040.6620.5191.0000.6470.752
행정읍면동0.9041.0000.8500.7460.9040.7950.919
도엽번호0.6620.8501.0000.7650.6620.9680.740
도로구간번호0.5190.7460.7651.0000.5190.6880.633
가로등제어기관리번호1.0000.9040.6620.5191.0000.6470.752
위도0.6470.7950.9680.6880.6471.0000.656
경도0.7520.9190.7400.6330.7520.6561.000
2024-04-21T05:27:51.769366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호도엽번호도로구간번호가로등제어기관리번호위도경도행정읍면동
관리번호1.0000.0390.0951.000-0.053-0.2600.595
도엽번호0.0391.000-0.3240.039-0.9620.2650.519
도로구간번호0.095-0.3241.0000.0950.296-0.3210.403
가로등제어기관리번호1.0000.0390.0951.000-0.053-0.2600.595
위도-0.053-0.9620.296-0.0531.000-0.1090.450
경도-0.2600.265-0.321-0.260-0.1091.0000.622
행정읍면동0.5950.5190.4030.5950.4500.6221.000

Missing values

2024-04-21T05:27:42.014654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T05:27:42.535662image/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

지형지물부호관리번호행정읍면동도엽번호도로구간번호가로등제어기관리번호부착방식대장초기화여부제어함구분위도경도
0가로등제어기1대전광역시 대덕구367100571219431미분류1미분류36.354539127.415969
1가로등제어기2대전광역시 대덕구36710057160622미분류1미분류36.353091127.41519
2가로등제어기3대전광역시 대덕구36710057164143미분류1미분류36.350812127.415472
3가로등제어기4대전광역시 대덕구36710058371544미분류1미분류36.358222127.436538
4가로등제어기5대전광역시 동구36710067280965미분류1미분류36.343633127.417618
5가로등제어기6대전광역시 대덕구36710058402036미분류1미분류36.363918127.442239
6가로등제어기7대전광역시 대덕구36710037397567미분류1미분류36.422872127.421564
7가로등제어기8대전광역시 대덕구36710037393848미분류1미분류36.422676127.421343
8가로등제어기9대전광역시 대덕구36710027168369미분류1미분류36.449034127.419539
9가로등제어기10대전광역시 대덕구367100271254610미분류1미분류36.449185127.419072
지형지물부호관리번호행정읍면동도엽번호도로구간번호가로등제어기관리번호부착방식대장초기화여부제어함구분위도경도
1608가로등제어기1618대전광역시 중구36710067218611618미분류1미분류36.33166127.410232
1609가로등제어기1619대전광역시 중구36710067279601619미분류1미분류36.334171127.411928
1610가로등제어기1620대전광역시 중구36710067273821620미분류1미분류36.334969127.414027
1611가로등제어기1621대전광역시 중구36710067278301621미분류1미분류36.33482127.411024
1612가로등제어기1622대전광역시 중구36710078192991622미분류1미분류36.302383127.448172
1613가로등제어기1623대전광역시 중구36710077205791623미분류1미분류36.312381127.404517
1614가로등제어기1624대전광역시 중구36710077221571624미분류1미분류36.317826127.414528
1615가로등제어기1625대전광역시 중구36710077221571625미분류1미분류36.317829127.414488
1616가로등제어기1626대전광역시 중구36710077207191626미분류1미분류36.317299127.412293
1617가로등제어기1627대전광역시 중구3671007787171627미분류1미분류36.314773127.405487