Overview

Dataset statistics

Number of variables14
Number of observations299
Missing cells756
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.2 KiB
Average record size in memory120.4 B

Variable types

Categorical7
Text1
Numeric6

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
제공기관명 has constant value ""Constant
1면4색 is highly overall correlated with 등주수 and 1 other fieldsHigh correlation
1면3색 is highly overall correlated with 바닥신호등High correlation
횡단보도투광등 is highly overall correlated with 교통신호통합 가로등(LED 모듈) and 3 other fieldsHigh correlation
교통신호통합 가로등(CDM 램프) is highly overall correlated with 바닥신호등High correlation
교통신호통합 가로등(LED 모듈) is highly overall correlated with 횡단보도투광등 and 1 other fieldsHigh correlation
등주수 is highly overall correlated with 1면4색 and 2 other fieldsHigh correlation
1면2색 is highly overall correlated with 횡단보도투광등 and 1 other fieldsHigh correlation
바닥신호등 is highly overall correlated with 1면4색 and 4 other fieldsHigh correlation
1면2색 is highly imbalanced (90.6%)Imbalance
바닥신호등 is highly imbalanced (93.3%)Imbalance
1면4색 has 38 (12.7%) missing valuesMissing
1면3색 has 146 (48.8%) missing valuesMissing
횡단보도투광등 has 131 (43.8%) missing valuesMissing
교통신호통합 가로등(CDM 램프) has 172 (57.5%) missing valuesMissing
교통신호통합 가로등(LED 모듈) has 257 (86.0%) missing valuesMissing
등주수 has 12 (4.0%) missing valuesMissing

Reproduction

Analysis started2024-01-09 19:46:43.356363
Analysis finished2024-01-09 19:46:46.735741
Duration3.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
충청남도
299 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청남도 299
100.0%

Length

2024-01-10T04:46:46.781080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:46.847497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 299
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
당진시
299 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진시 299
100.0%

Length

2024-01-10T04:46:46.915283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:46.981245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진시 299
100.0%

주소
Text

Distinct295
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-01-10T04:46:47.251144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length19.852843
Min length12

Characters and Unicode

Total characters5936
Distinct characters106
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

Unique291 ?
Unique (%)97.3%

Sample

1st row충청남도 당진시 시곡동 65-1
2nd row충청남도 당진시 시곡동 71-5
3rd row충청남도 당진시 시곡동 42-1
4th row충청남도 당진시 수청동 451-9
5th row충청남도 당진시 원당동 438-1
ValueCountFrequency (%)
충청남도 268
19.9%
당진시 268
19.9%
송악읍 62
 
4.6%
송산면 34
 
2.5%
석문면 26
 
1.9%
합덕읍 26
 
1.9%
수청동 24
 
1.8%
신평면 19
 
1.4%
읍내동 18
 
1.3%
우강면 18
 
1.3%
Other values (359) 587
43.5%
2024-01-10T04:46:47.644364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1060
17.9%
청 292
 
4.9%
당 286
 
4.8%
시 285
 
4.8%
도 278
 
4.7%
진 278
 
4.7%
충 268
 
4.5%
남 268
 
4.5%
1 257
 
4.3%
리 205
 
3.5%
Other values (96) 2459
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3460
58.3%
Decimal Number 1205
 
20.3%
Space Separator 1060
 
17.9%
Dash Punctuation 195
 
3.3%
Close Punctuation 8
 
0.1%
Open Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 292
 
8.4%
당 286
 
8.3%
시 285
 
8.2%
도 278
 
8.0%
진 278
 
8.0%
충 268
 
7.7%
남 268
 
7.7%
리 205
 
5.9%
면 121
 
3.5%
송 112
 
3.2%
Other values (82) 1067
30.8%
Decimal Number
ValueCountFrequency (%)
1 257
21.3%
4 135
11.2%
2 129
10.7%
3 127
10.5%
6 111
9.2%
5 99
 
8.2%
0 93
 
7.7%
9 92
 
7.6%
8 91
 
7.6%
7 71
 
5.9%
Space Separator
ValueCountFrequency (%)
1060
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3460
58.3%
Common 2476
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 292
 
8.4%
당 286
 
8.3%
시 285
 
8.2%
도 278
 
8.0%
진 278
 
8.0%
충 268
 
7.7%
남 268
 
7.7%
리 205
 
5.9%
면 121
 
3.5%
송 112
 
3.2%
Other values (82) 1067
30.8%
Common
ValueCountFrequency (%)
1060
42.8%
1 257
 
10.4%
- 195
 
7.9%
4 135
 
5.5%
2 129
 
5.2%
3 127
 
5.1%
6 111
 
4.5%
5 99
 
4.0%
0 93
 
3.8%
9 92
 
3.7%
Other values (4) 178
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3460
58.3%
ASCII 2476
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1060
42.8%
1 257
 
10.4%
- 195
 
7.9%
4 135
 
5.5%
2 129
 
5.2%
3 127
 
5.1%
6 111
 
4.5%
5 99
 
4.0%
0 93
 
3.8%
9 92
 
3.7%
Other values (4) 178
 
7.2%
Hangul
ValueCountFrequency (%)
청 292
 
8.4%
당 286
 
8.3%
시 285
 
8.2%
도 278
 
8.0%
진 278
 
8.0%
충 268
 
7.7%
남 268
 
7.7%
리 205
 
5.9%
면 121
 
3.5%
송 112
 
3.2%
Other values (82) 1067
30.8%

1면4색
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct15
Distinct (%)5.7%
Missing38
Missing (%)12.7%
Infinite0
Infinite (%)0.0%
Mean7.1877395
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T04:46:47.735451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median8
Q312
95-th percentile12
Maximum16
Range15
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.2416437
Coefficient of variation (CV)0.59012207
Kurtosis-1.6005065
Mean7.1877395
Median Absolute Deviation (MAD)4
Skewness0.095312093
Sum1876
Variance17.991541
MonotonicityNot monotonic
2024-01-10T04:46:47.818674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
12 67
22.4%
3 65
21.7%
2 29
9.7%
8 21
 
7.0%
10 16
 
5.4%
11 16
 
5.4%
4 11
 
3.7%
6 9
 
3.0%
5 7
 
2.3%
1 5
 
1.7%
Other values (5) 15
 
5.0%
(Missing) 38
12.7%
ValueCountFrequency (%)
1 5
 
1.7%
2 29
9.7%
3 65
21.7%
4 11
 
3.7%
5 7
 
2.3%
6 9
 
3.0%
7 3
 
1.0%
8 21
 
7.0%
9 3
 
1.0%
10 16
 
5.4%
ValueCountFrequency (%)
16 3
 
1.0%
14 3
 
1.0%
13 3
 
1.0%
12 67
22.4%
11 16
 
5.4%
10 16
 
5.4%
9 3
 
1.0%
8 21
 
7.0%
7 3
 
1.0%
6 9
 
3.0%

1면3색
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)7.8%
Missing146
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean4.9281046
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T04:46:47.907014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile8
Maximum14
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8641513
Coefficient of variation (CV)0.37826944
Kurtosis5.2949443
Mean4.9281046
Median Absolute Deviation (MAD)1
Skewness1.5816006
Sum754
Variance3.4750602
MonotonicityNot monotonic
2024-01-10T04:46:47.995369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 43
 
14.4%
5 40
 
13.4%
6 31
 
10.4%
3 14
 
4.7%
2 9
 
3.0%
8 6
 
2.0%
7 3
 
1.0%
12 2
 
0.7%
9 2
 
0.7%
14 1
 
0.3%
Other values (2) 2
 
0.7%
(Missing) 146
48.8%
ValueCountFrequency (%)
1 1
 
0.3%
2 9
 
3.0%
3 14
 
4.7%
4 43
14.4%
5 40
13.4%
6 31
10.4%
7 3
 
1.0%
8 6
 
2.0%
9 2
 
0.7%
10 1
 
0.3%
ValueCountFrequency (%)
14 1
 
0.3%
12 2
 
0.7%
10 1
 
0.3%
9 2
 
0.7%
8 6
 
2.0%
7 3
 
1.0%
6 31
10.4%
5 40
13.4%
4 43
14.4%
3 14
 
4.7%

1면2색
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
291 
4
 
5
6
 
1
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.9197324
Min length1

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 291
97.3%
4 5
 
1.7%
6 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%

Length

2024-01-10T04:46:48.089538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:48.170375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 291
97.3%
4 5
 
1.7%
6 1
 
0.3%
1 1
 
0.3%
2 1
 
0.3%

횡단보도투광등
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)4.8%
Missing131
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean3.8154762
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T04:46:48.239316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0374925
Coefficient of variation (CV)0.5340074
Kurtosis-0.5126841
Mean3.8154762
Median Absolute Deviation (MAD)2
Skewness0.64900184
Sum641
Variance4.1513758
MonotonicityNot monotonic
2024-01-10T04:46:48.315608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 44
 
14.7%
4 37
 
12.4%
3 24
 
8.0%
6 20
 
6.7%
8 16
 
5.4%
1 14
 
4.7%
5 10
 
3.3%
7 3
 
1.0%
(Missing) 131
43.8%
ValueCountFrequency (%)
1 14
 
4.7%
2 44
14.7%
3 24
8.0%
4 37
12.4%
5 10
 
3.3%
6 20
6.7%
7 3
 
1.0%
8 16
 
5.4%
ValueCountFrequency (%)
8 16
 
5.4%
7 3
 
1.0%
6 20
6.7%
5 10
 
3.3%
4 37
12.4%
3 24
8.0%
2 44
14.7%
1 14
 
4.7%

교통신호통합 가로등(CDM 램프)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct9
Distinct (%)7.1%
Missing172
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.9606299
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T04:46:48.404499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2481088
Coefficient of variation (CV)0.56761396
Kurtosis-0.50904951
Mean3.9606299
Median Absolute Deviation (MAD)2
Skewness0.65023641
Sum503
Variance5.0539933
MonotonicityNot monotonic
2024-01-10T04:46:48.479904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 28
 
9.4%
2 26
 
8.7%
3 18
 
6.0%
8 17
 
5.7%
1 15
 
5.0%
5 12
 
4.0%
6 6
 
2.0%
7 4
 
1.3%
10 1
 
0.3%
(Missing) 172
57.5%
ValueCountFrequency (%)
1 15
5.0%
2 26
8.7%
3 18
6.0%
4 28
9.4%
5 12
4.0%
6 6
 
2.0%
7 4
 
1.3%
8 17
5.7%
10 1
 
0.3%
ValueCountFrequency (%)
10 1
 
0.3%
8 17
5.7%
7 4
 
1.3%
6 6
 
2.0%
5 12
4.0%
4 28
9.4%
3 18
6.0%
2 26
8.7%
1 15
5.0%

교통신호통합 가로등(LED 모듈)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)16.7%
Missing257
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean3.6666667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T04:46:48.552668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7484023
Coefficient of variation (CV)0.47683699
Kurtosis0.16498263
Mean3.6666667
Median Absolute Deviation (MAD)1
Skewness0.59841868
Sum154
Variance3.0569106
MonotonicityNot monotonic
2024-01-10T04:46:48.633954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 15
 
5.0%
2 8
 
2.7%
3 6
 
2.0%
1 4
 
1.3%
7 4
 
1.3%
5 4
 
1.3%
8 1
 
0.3%
(Missing) 257
86.0%
ValueCountFrequency (%)
1 4
 
1.3%
2 8
2.7%
3 6
 
2.0%
4 15
5.0%
5 4
 
1.3%
7 4
 
1.3%
8 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
7 4
 
1.3%
5 4
 
1.3%
4 15
5.0%
3 6
 
2.0%
2 8
2.7%
1 4
 
1.3%

바닥신호등
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
294 
8
 
2
1
 
1
2
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.9498328
Min length1

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 294
98.3%
8 2
 
0.7%
1 1
 
0.3%
2 1
 
0.3%
6 1
 
0.3%

Length

2024-01-10T04:46:48.733243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:48.810714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 294
98.3%
8 2
 
0.7%
1 1
 
0.3%
2 1
 
0.3%
6 1
 
0.3%

등주수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)3.5%
Missing12
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean5.6236934
Minimum2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-01-10T04:46:48.882304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.3
Q14
median5
Q37
95-th percentile8
Maximum12
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0081642
Coefficient of variation (CV)0.35708991
Kurtosis-0.83869822
Mean5.6236934
Median Absolute Deviation (MAD)2
Skewness0.090149496
Sum1614
Variance4.0327234
MonotonicityNot monotonic
2024-01-10T04:46:48.965208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 61
20.4%
8 59
19.7%
5 43
14.4%
7 41
13.7%
6 30
10.0%
3 27
9.0%
2 15
 
5.0%
9 7
 
2.3%
10 3
 
1.0%
12 1
 
0.3%
(Missing) 12
 
4.0%
ValueCountFrequency (%)
2 15
 
5.0%
3 27
9.0%
4 61
20.4%
5 43
14.4%
6 30
10.0%
7 41
13.7%
8 59
19.7%
9 7
 
2.3%
10 3
 
1.0%
12 1
 
0.3%
ValueCountFrequency (%)
12 1
 
0.3%
10 3
 
1.0%
9 7
 
2.3%
8 59
19.7%
7 41
13.7%
6 30
10.0%
5 43
14.4%
4 61
20.4%
3 27
9.0%
2 15
 
5.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
당진시청
299 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진시청 299
100.0%

Length

2024-01-10T04:46:49.050902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:49.123463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진시청 299
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
041-350-4542
299 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-350-4542
2nd row041-350-4542
3rd row041-350-4542
4th row041-350-4542
5th row041-350-4542

Common Values

ValueCountFrequency (%)
041-350-4542 299
100.0%

Length

2024-01-10T04:46:49.203538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:49.270655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-350-4542 299
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
당진시청
299 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진시청 299
100.0%

Length

2024-01-10T04:46:49.341634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:46:49.407212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당진시청 299
100.0%

Interactions

2024-01-10T04:46:45.765727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:43.729703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.193475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.581470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.978597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.360427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.835577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:43.804321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.260294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.650081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.047662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.424138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.911416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:43.869779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.328623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.710167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.106910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.495324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.987827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:43.940259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.388546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.777333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.173426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.561543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:46.050547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.014493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.450509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.838028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.234346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.628123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:46.115923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.105811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.521715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:44.905870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.302870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:45.695606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:46:49.455434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1면4색1면3색1면2색횡단보도투광등교통신호통합 가로등(CDM 램프)교통신호통합 가로등(LED 모듈)바닥신호등등주수
1면4색1.0000.5320.8110.3640.6810.5531.0000.682
1면3색0.5321.0000.9130.0000.0000.7650.0000.605
1면2색0.8110.9131.0001.000NaNNaNNaN0.000
횡단보도투광등0.3640.0001.0001.0000.3720.376NaN0.489
교통신호통합 가로등(CDM 램프)0.6810.000NaN0.3721.000NaN0.0000.645
교통신호통합 가로등(LED 모듈)0.5530.765NaN0.376NaN1.000NaN0.407
바닥신호등1.0000.000NaNNaN0.000NaN1.0001.000
등주수0.6820.6050.0000.4890.6450.4071.0001.000
2024-01-10T04:46:49.546392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1면2색바닥신호등
1면2색1.000NaN
바닥신호등NaN1.000
2024-01-10T04:46:49.617887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1면4색1면3색횡단보도투광등교통신호통합 가로등(CDM 램프)교통신호통합 가로등(LED 모듈)등주수1면2색바닥신호등
1면4색1.0000.0430.4600.3130.4080.5500.2581.000
1면3색0.0431.0000.1090.0380.1030.3260.0001.000
횡단보도투광등0.4600.1091.0000.3100.6780.6110.8161.000
교통신호통합 가로등(CDM 램프)0.3130.0380.3101.000NaN0.440NaN1.000
교통신호통합 가로등(LED 모듈)0.4080.1030.678NaN1.0000.2801.000NaN
등주수0.5500.3260.6110.4400.2801.0000.0001.000
1면2색0.2580.0000.816NaN1.0000.0001.0000.000
바닥신호등1.0001.0001.0001.000NaN1.0000.0001.000

Missing values

2024-01-10T04:46:46.211458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:46:46.360574image/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.
2024-01-10T04:46:46.667638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시도명시군구명주소1면4색1면3색1면2색횡단보도투광등교통신호통합 가로등(CDM 램프)교통신호통합 가로등(LED 모듈)바닥신호등등주수관리기관명관리기관전화번호제공기관명
0충청남도당진시충청남도 당진시 시곡동 65-135<NA>4<NA><NA><NA>4당진시청041-350-4542당진시청
1충청남도당진시충청남도 당진시 시곡동 71-512<NA><NA>43<NA><NA>4당진시청041-350-4542당진시청
2충청남도당진시충청남도 당진시 시곡동 42-16<NA><NA><NA><NA><NA><NA>2당진시청041-350-4542당진시청
3충청남도당진시충청남도 당진시 수청동 451-912<NA><NA>4<NA><NA><NA>10당진시청041-350-4542당진시청
4충청남도당진시충청남도 당진시 원당동 438-110<NA><NA>6<NA><NA><NA>8당진시청041-350-4542당진시청
5충청남도당진시충청남도 당진시 원당동 411-135<NA>2<NA><NA><NA>4당진시청041-350-4542당진시청
6충청남도당진시충청남도 당진시 원당동 598102<NA><NA>2<NA><NA>6당진시청041-350-4542당진시청
7충청남도당진시충청남도 당진시 원당동 442-3<NA>5<NA>2<NA><NA><NA>3당진시청041-350-4542당진시청
8충청남도당진시충청남도 당진시 원당동 391-312<NA><NA>6<NA><NA><NA>8당진시청041-350-4542당진시청
9충청남도당진시충청남도 당진시 원당동 791-18<NA><NA>6<NA><NA><NA>8당진시청041-350-4542당진시청
시도명시군구명주소1면4색1면3색1면2색횡단보도투광등교통신호통합 가로등(CDM 램프)교통신호통합 가로등(LED 모듈)바닥신호등등주수관리기관명관리기관전화번호제공기관명
289충청남도당진시석문면 교로리 907-635<NA>33<NA><NA>6당진시청041-350-4542당진시청
290충청남도당진시석문면 통정리 1227-125<NA>1<NA><NA><NA>3당진시청041-350-4542당진시청
291충청남도당진시석문면 통정리 818-834<NA><NA><NA><NA><NA>3당진시청041-350-4542당진시청
292충청남도당진시석문면 통정리 945-38<NA><NA>4<NA><NA><NA>4당진시청041-350-4542당진시청
293충청남도당진시석문면 통정리 954-2662<NA>4<NA><NA><NA>4당진시청041-350-4542당진시청
294충청남도당진시석문면 통정리 954-2552<NA>5<NA><NA><NA>4당진시청041-350-4542당진시청
295충청남도당진시석문면 통정리 999-714<NA><NA>8<NA><NA><NA>4당진시청041-350-4542당진시청
296충청남도당진시석문면 삼봉리 144-2036<NA>3<NA><NA><NA>4당진시청041-350-4542당진시청
297충청남도당진시석문면 삼봉리 209-135<NA>3<NA><NA><NA>5당진시청041-350-4542당진시청
298충청남도당진시석문면 교로리 262445<NA><NA>2<NA><NA>3당진시청041-350-4542당진시청