Overview

Dataset statistics

Number of variables13
Number of observations589
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.7 KiB
Average record size in memory107.2 B

Variable types

Categorical7
Text2
Numeric3
DateTime1

Dataset

Description전라남도 곡성군 도로안내표지 데이터를 제공합니다.(도로안내표지일련번호, 도로종류, 소재지주소, 위도, 경도 등 포함)
Author전라남도 곡성군
URLhttps://www.data.go.kr/data/15111144/fileData.do

Alerts

시군구 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로종류 is highly overall correlated with 도로노선번호 and 2 other fieldsHigh correlation
도로노선번호 is highly overall correlated with 도로종류 and 2 other fieldsHigh correlation
관리기관전화번호 is highly overall correlated with 도로종류 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 도로노선명High correlation
경도 is highly overall correlated with 도로노선명High correlation
도로노선명 is highly overall correlated with 위도 and 4 other fieldsHigh correlation
도로안내표지일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:35:01.934509
Analysis finished2023-12-12 12:35:03.854516
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
곡성군
589 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
곡성군 589
100.0%

Length

2023-12-12T21:35:03.921823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:04.026815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
곡성군 589
100.0%

도로안내표지일련번호
Text

UNIQUE 

Distinct589
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T21:35:04.252726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length14.714771
Min length12

Characters and Unicode

Total characters8667
Distinct characters78
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

Unique589 ?
Unique (%)100.0%

Sample

1st rowGR-[강변로]-상-1
2nd rowGR-[강변로]-상-2
3rd rowGR-[강변로]-상-3
4th rowGR-[고달길]-하-1
5th rowGR-[고산로]-상-1
ValueCountFrequency (%)
gr-[강변로]-상-1 1
 
0.2%
nr-27[곡순로]-상-65 1
 
0.2%
nr-27[곡순로]-하-119 1
 
0.2%
nr-27[곡순로]-하-113 1
 
0.2%
nr-27[곡순로]-하-114 1
 
0.2%
nr-27[곡순로]-하-115 1
 
0.2%
nr-27[곡순로]-하-116 1
 
0.2%
nr-27[곡순로]-하-117 1
 
0.2%
nr-27[곡순로]-하-118 1
 
0.2%
nr-27[곡순로]-하-120 1
 
0.2%
Other values (579) 579
98.3%
2023-12-12T21:35:04.657649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1767
20.4%
R 703
 
8.1%
[ 589
 
6.8%
] 589
 
6.8%
로 578
 
6.7%
1 410
 
4.7%
N 357
 
4.1%
2 313
 
3.6%
상 298
 
3.4%
하 291
 
3.4%
Other values (68) 2772
32.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2547
29.4%
Decimal Number 1997
23.0%
Dash Punctuation 1767
20.4%
Uppercase Letter 1178
13.6%
Open Punctuation 589
 
6.8%
Close Punctuation 589
 
6.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 578
22.7%
상 298
11.7%
하 291
11.4%
곡 190
 
7.5%
순 181
 
7.1%
강 91
 
3.6%
산 60
 
2.4%
옥 58
 
2.3%
대 58
 
2.3%
성 57
 
2.2%
Other values (52) 685
26.9%
Decimal Number
ValueCountFrequency (%)
1 410
20.5%
2 313
15.7%
7 266
13.3%
3 179
9.0%
0 168
8.4%
4 168
8.4%
8 152
 
7.6%
5 149
 
7.5%
6 135
 
6.8%
9 57
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
R 703
59.7%
N 357
30.3%
G 118
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 1767
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 589
100.0%
Close Punctuation
ValueCountFrequency (%)
] 589
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4942
57.0%
Hangul 2547
29.4%
Latin 1178
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 578
22.7%
상 298
11.7%
하 291
11.4%
곡 190
 
7.5%
순 181
 
7.1%
강 91
 
3.6%
산 60
 
2.4%
옥 58
 
2.3%
대 58
 
2.3%
성 57
 
2.2%
Other values (52) 685
26.9%
Common
ValueCountFrequency (%)
- 1767
35.8%
[ 589
 
11.9%
] 589
 
11.9%
1 410
 
8.3%
2 313
 
6.3%
7 266
 
5.4%
3 179
 
3.6%
0 168
 
3.4%
4 168
 
3.4%
8 152
 
3.1%
Other values (3) 341
 
6.9%
Latin
ValueCountFrequency (%)
R 703
59.7%
N 357
30.3%
G 118
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6120
70.6%
Hangul 2547
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1767
28.9%
R 703
 
11.5%
[ 589
 
9.6%
] 589
 
9.6%
1 410
 
6.7%
N 357
 
5.8%
2 313
 
5.1%
7 266
 
4.3%
3 179
 
2.9%
0 168
 
2.7%
Other values (6) 779
12.7%
Hangul
ValueCountFrequency (%)
로 578
22.7%
상 298
11.7%
하 291
11.4%
곡 190
 
7.5%
순 181
 
7.1%
강 91
 
3.6%
산 60
 
2.4%
옥 58
 
2.3%
대 58
 
2.3%
성 57
 
2.2%
Other values (52) 685
26.9%

도로종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
NR
357 
GR
118 
RR
114 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
NR 357
60.6%
GR 118
 
20.0%
RR 114
 
19.4%

Length

2023-12-12T21:35:04.768722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:04.847978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
nr 357
60.6%
gr 118
 
20.0%
rr 114
 
19.4%

도로노선번호
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
27번
160 
데이터 부존재
118 
60번
66 
13번
56 
840번
48 
Other values (3)
141 

Length

Max length7
Median length3
Mean length3.8828523
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row데이터 부존재
2nd row데이터 부존재
3rd row데이터 부존재
4th row데이터 부존재
5th row데이터 부존재

Common Values

ValueCountFrequency (%)
27번 160
27.2%
데이터 부존재 118
20.0%
60번 66
11.2%
13번 56
 
9.5%
840번 48
 
8.1%
15번 47
 
8.0%
17번 47
 
8.0%
18번 47
 
8.0%

Length

2023-12-12T21:35:04.942137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:05.043437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27번 160
22.6%
데이터 118
16.7%
부존재 118
16.7%
60번 66
9.3%
13번 56
 
7.9%
840번 48
 
6.8%
15번 47
 
6.6%
17번 47
 
6.6%
18번 47
 
6.6%

도로노선명
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
곡순로
126 
옥순로
55 
곡성로
51 
오산로
50 
섬진강로
47 
Other values (34)
260 

Length

Max length5
Median length3
Mean length3.3293718
Min length3

Unique

Unique7 ?
Unique (%)1.2%

Sample

1st row강변로
2nd row강변로
3rd row강변로
4th row고달길
5th row고산로

Common Values

ValueCountFrequency (%)
곡순로 126
21.4%
옥순로 55
9.3%
곡성로 51
 
8.7%
오산로 50
 
8.5%
섬진강로 47
 
8.0%
대황강로 41
 
7.0%
기차마을로 28
 
4.8%
주석로 28
 
4.8%
천변로 20
 
3.4%
주목로 13
 
2.2%
Other values (29) 130
22.1%

Length

2023-12-12T21:35:05.172880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
곡순로 126
21.4%
옥순로 55
9.3%
곡성로 51
 
8.7%
오산로 50
 
8.5%
섬진강로 47
 
8.0%
대황강로 41
 
7.0%
기차마을로 28
 
4.8%
주석로 28
 
4.8%
천변로 20
 
3.4%
주목로 13
 
2.2%
Other values (29) 130
22.1%

도로노선방향
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
U
298 
D
291 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowU
4th rowD
5th rowU

Common Values

ValueCountFrequency (%)
U 298
50.6%
D 291
49.4%

Length

2023-12-12T21:35:05.298049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:05.384257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 298
50.6%
d 291
49.4%

소재지지번주소
Text

Distinct500
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
2023-12-12T21:35:05.573597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.648557
Min length18

Characters and Unicode

Total characters12751
Distinct characters112
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique434 ?
Unique (%)73.7%

Sample

1st row전라남도 곡성군 목사동면 공북리 423-2
2nd row전라남도 곡성군 목사동면 공북리 402-1
3rd row전라남도 곡성군 목사동면 평리 69-1
4th row전라남도 곡성군 고달면 목동리 산48-3
5th row전라남도 곡성군 고달면 목동리 301-2
ValueCountFrequency (%)
전라남도 587
19.9%
곡성군 586
19.9%
옥과면 96
 
3.3%
곡성읍 96
 
3.3%
석곡면 66
 
2.2%
오산면 60
 
2.0%
삼기면 56
 
1.9%
죽곡면 55
 
1.9%
오곡면 53
 
1.8%
겸면 48
 
1.6%
Other values (572) 1242
42.2%
2023-12-12T21:35:05.902989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2356
18.5%
곡 874
 
6.9%
성 682
 
5.3%
리 614
 
4.8%
남 608
 
4.8%
전 607
 
4.8%
라 589
 
4.6%
도 589
 
4.6%
군 588
 
4.6%
- 504
 
4.0%
Other values (102) 4740
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7660
60.1%
Space Separator 2356
 
18.5%
Decimal Number 2231
 
17.5%
Dash Punctuation 504
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 874
11.4%
성 682
 
8.9%
리 614
 
8.0%
남 608
 
7.9%
전 607
 
7.9%
라 589
 
7.7%
도 589
 
7.7%
군 588
 
7.7%
면 493
 
6.4%
산 154
 
2.0%
Other values (90) 1862
24.3%
Decimal Number
ValueCountFrequency (%)
1 447
20.0%
2 335
15.0%
3 227
10.2%
4 204
9.1%
5 200
9.0%
6 198
8.9%
9 193
8.7%
8 153
 
6.9%
7 145
 
6.5%
0 129
 
5.8%
Space Separator
ValueCountFrequency (%)
2356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7660
60.1%
Common 5091
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
곡 874
11.4%
성 682
 
8.9%
리 614
 
8.0%
남 608
 
7.9%
전 607
 
7.9%
라 589
 
7.7%
도 589
 
7.7%
군 588
 
7.7%
면 493
 
6.4%
산 154
 
2.0%
Other values (90) 1862
24.3%
Common
ValueCountFrequency (%)
2356
46.3%
- 504
 
9.9%
1 447
 
8.8%
2 335
 
6.6%
3 227
 
4.5%
4 204
 
4.0%
5 200
 
3.9%
6 198
 
3.9%
9 193
 
3.8%
8 153
 
3.0%
Other values (2) 274
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7660
60.1%
ASCII 5091
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2356
46.3%
- 504
 
9.9%
1 447
 
8.8%
2 335
 
6.6%
3 227
 
4.5%
4 204
 
4.0%
5 200
 
3.9%
6 198
 
3.9%
9 193
 
3.8%
8 153
 
3.0%
Other values (2) 274
 
5.4%
Hangul
ValueCountFrequency (%)
곡 874
11.4%
성 682
 
8.9%
리 614
 
8.0%
남 608
 
7.9%
전 607
 
7.9%
라 589
 
7.7%
도 589
 
7.7%
군 588
 
7.7%
면 493
 
6.4%
산 154
 
2.0%
Other values (90) 1862
24.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct572
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.235636
Minimum35.085891
Maximum35.332182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-12T21:35:06.260926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.085891
5-th percentile35.125914
Q135.193562
median35.258457
Q335.278906
95-th percentile35.305627
Maximum35.332182
Range0.2462908
Interquartile range (IQR)0.085344

Descriptive statistics

Standard deviation0.058668115
Coefficient of variation (CV)0.0016650222
Kurtosis-0.61818693
Mean35.235636
Median Absolute Deviation (MAD)0.030602
Skewness-0.73280064
Sum20753.79
Variance0.0034419477
MonotonicityNot monotonic
2023-12-12T21:35:06.400779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.27815026 3
 
0.5%
35.27706 2
 
0.3%
35.25689 2
 
0.3%
35.284541 2
 
0.3%
35.274334 2
 
0.3%
35.28231 2
 
0.3%
35.12553319 2
 
0.3%
35.12587251 2
 
0.3%
35.16723602 2
 
0.3%
35.10422268 2
 
0.3%
Other values (562) 568
96.4%
ValueCountFrequency (%)
35.0858912 1
0.2%
35.08604155 1
0.2%
35.095055 1
0.2%
35.09985177 1
0.2%
35.099944 1
0.2%
35.100253 1
0.2%
35.10422268 2
0.3%
35.105333 1
0.2%
35.10576815 1
0.2%
35.10665405 1
0.2%
ValueCountFrequency (%)
35.332182 1
0.2%
35.32773 1
0.2%
35.326221 1
0.2%
35.325027 1
0.2%
35.324641 1
0.2%
35.324172 1
0.2%
35.323213 1
0.2%
35.323062 1
0.2%
35.322133 1
0.2%
35.321751 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct568
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.2369
Minimum127.09822
Maximum127.40677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-12T21:35:06.586857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.09822
5-th percentile127.12164
Q1127.14604
median127.24519
Q3127.30153
95-th percentile127.36611
Maximum127.40677
Range0.3085504
Interquartile range (IQR)0.1554915

Descriptive statistics

Standard deviation0.080003093
Coefficient of variation (CV)0.00062877274
Kurtosis-1.1939339
Mean127.2369
Median Absolute Deviation (MAD)0.0606951
Skewness-0.00027657042
Sum74942.533
Variance0.0064004948
MonotonicityNot monotonic
2023-12-12T21:35:06.758384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.146 3
 
0.5%
127.1459765 2
 
0.3%
127.2507121 2
 
0.3%
127.2568985 2
 
0.3%
127.2499172 2
 
0.3%
127.2488853 2
 
0.3%
127.30175 2
 
0.3%
127.137437 2
 
0.3%
127.3297 2
 
0.3%
127.141 2
 
0.3%
Other values (558) 568
96.4%
ValueCountFrequency (%)
127.0982204 1
0.2%
127.111811 1
0.2%
127.112331 1
0.2%
127.112394 1
0.2%
127.112445 1
0.2%
127.1125833 1
0.2%
127.1126256 1
0.2%
127.113381 1
0.2%
127.113872 1
0.2%
127.11453 1
0.2%
ValueCountFrequency (%)
127.4067708 1
0.2%
127.4067668 1
0.2%
127.4012031 1
0.2%
127.3998994 1
0.2%
127.3948703 1
0.2%
127.3924549 1
0.2%
127.3923144 1
0.2%
127.3845786 1
0.2%
127.3790942 1
0.2%
127.3787355 1
0.2%

도로안내표지구분
Real number (ℝ)

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1324278
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2023-12-12T21:35:06.895943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q35
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation22.637549
Coefficient of variation (CV)2.4788095
Kurtosis11.924778
Mean9.1324278
Median Absolute Deviation (MAD)1
Skewness3.7198342
Sum5379
Variance512.45862
MonotonicityNot monotonic
2023-12-12T21:35:07.012713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 292
49.6%
5 93
 
15.8%
4 60
 
10.2%
2 44
 
7.5%
6 36
 
6.1%
99 35
 
5.9%
1 29
 
4.9%
ValueCountFrequency (%)
1 29
 
4.9%
2 44
 
7.5%
3 292
49.6%
4 60
 
10.2%
5 93
 
15.8%
6 36
 
6.1%
99 35
 
5.9%
ValueCountFrequency (%)
99 35
 
5.9%
6 36
 
6.1%
5 93
 
15.8%
4 60
 
10.2%
3 292
49.6%
2 44
 
7.5%
1 29
 
4.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
전라남도 곡성군청
589 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라남도 곡성군청
2nd row전라남도 곡성군청
3rd row전라남도 곡성군청
4th row전라남도 곡성군청
5th row전라남도 곡성군청

Common Values

ValueCountFrequency (%)
전라남도 곡성군청 589
100.0%

Length

2023-12-12T21:35:07.129252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:07.223202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 589
50.0%
곡성군청 589
50.0%

관리기관전화번호
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
061-740-1002
323 
061-286-7440
148 
061-360-8623
118 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row061-360-8623
2nd row061-360-8623
3rd row061-360-8623
4th row061-360-8623
5th row061-360-8623

Common Values

ValueCountFrequency (%)
061-740-1002 323
54.8%
061-286-7440 148
25.1%
061-360-8623 118
 
20.0%

Length

2023-12-12T21:35:07.331897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:07.432364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
061-740-1002 323
54.8%
061-286-7440 148
25.1%
061-360-8623 118
 
20.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 KiB
Minimum2022-12-16 00:00:00
Maximum2022-12-16 00:00:00
2023-12-12T21:35:07.529688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:07.619422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:35:03.216440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:02.648785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:02.920626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:03.313587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:02.731388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:03.021830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:03.424529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:02.822098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:03.120478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:35:07.710090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로종류도로노선번호도로노선명도로노선방향위도경도도로안내표지구분관리기관전화번호
도로종류1.0001.0000.9880.0260.4950.5480.0300.996
도로노선번호1.0001.0000.9890.0000.6140.7490.1430.960
도로노선명0.9880.9891.0000.0000.8710.9100.1060.981
도로노선방향0.0260.0000.0001.0000.0000.0000.0000.024
위도0.4950.6140.8710.0001.0000.8410.1820.460
경도0.5480.7490.9100.0000.8411.0000.1570.622
도로안내표지구분0.0300.1430.1060.0000.1820.1571.0000.000
관리기관전화번호0.9960.9600.9810.0240.4600.6220.0001.000
2023-12-12T21:35:07.874796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로노선명도로종류도로노선방향도로노선번호관리기관전화번호
도로노선명1.0000.8590.0000.8910.837
도로종류0.8591.0000.0430.9960.921
도로노선방향0.0000.0431.0000.0000.040
도로노선번호0.8910.9960.0001.0000.972
관리기관전화번호0.8370.9210.0400.9721.000
2023-12-12T21:35:07.990338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도도로안내표지구분도로종류도로노선번호도로노선명도로노선방향관리기관전화번호
위도1.000-0.1350.0230.3400.3500.5170.0000.310
경도-0.1351.000-0.0270.3890.4830.5950.0000.465
도로안내표지구분0.023-0.0271.0000.0500.1070.0850.0000.000
도로종류0.3400.3890.0501.0000.9960.8590.0430.921
도로노선번호0.3500.4830.1070.9961.0000.8910.0000.972
도로노선명0.5170.5950.0850.8590.8911.0000.0000.837
도로노선방향0.0000.0000.0000.0430.0000.0001.0000.040
관리기관전화번호0.3100.4650.0000.9210.9720.8370.0401.000

Missing values

2023-12-12T21:35:03.566407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:35:03.784080image/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

시군구도로안내표지일련번호도로종류도로노선번호도로노선명도로노선방향소재지지번주소위도경도도로안내표지구분관리기관명관리기관전화번호데이터기준일자
0곡성군GR-[강변로]-상-1GR데이터 부존재강변로U전라남도 곡성군 목사동면 공북리 423-235.127028127.2621723전라남도 곡성군청061-360-86232022-12-16
1곡성군GR-[강변로]-상-2GR데이터 부존재강변로U전라남도 곡성군 목사동면 공북리 402-135.127099127.2630443전라남도 곡성군청061-360-86232022-12-16
2곡성군GR-[강변로]-상-3GR데이터 부존재강변로U전라남도 곡성군 목사동면 평리 69-135.126641127.2985143전라남도 곡성군청061-360-86232022-12-16
3곡성군GR-[고달길]-하-1GR데이터 부존재고달길D전라남도 곡성군 고달면 목동리 산48-335.28912127.3405925전라남도 곡성군청061-360-86232022-12-16
4곡성군GR-[고산로]-상-1GR데이터 부존재고산로U전라남도 곡성군 고달면 목동리 301-235.295376127.3405223전라남도 곡성군청061-360-86232022-12-16
5곡성군GR-[고산로]-상-2GR데이터 부존재고산로U전라남도 곡성군 고달면 목동리 272-1435.290765127.3408723전라남도 곡성군청061-360-86232022-12-16
6곡성군GR-[고산로]-하-1GR데이터 부존재고산로D전라남도 곡성군 고달면 고달리 22-1335.291154127.3536195전라남도 곡성군청061-360-86232022-12-16
7곡성군GR-[곡성로]-하-1GR데이터 부존재곡성로D전라남도 곡성군 곡성읍 구원리 63-3635.260721127.2740983전라남도 곡성군청061-360-86232022-12-16
8곡성군GR-[곡순로]-상-1GR데이터 부존재곡순로U전라남도 곡성군 옥과면 수리 778-535.297395127.1484973전라남도 곡성군청061-360-86232022-12-16
9곡성군GR-[곡순로]-상-2GR데이터 부존재곡순로U전라남도 곡성군 옥과면 수리 774-435.296927127.1485473전라남도 곡성군청061-360-86232022-12-16
시군구도로안내표지일련번호도로종류도로노선번호도로노선명도로노선방향소재지지번주소위도경도도로안내표지구분관리기관명관리기관전화번호데이터기준일자
579곡성군RR-840[태안로]-상-1RR840번태안로U전라남도 곡성군 죽곡면 유봉리 산63-235.159871127.3470843전라남도 곡성군청061-286-74402022-12-16
580곡성군RR-840[태안로]-상-2RR840번태안로U전라남도 곡성군 죽곡면 원달리 97135.136273127.3639325전라남도 곡성군청061-286-74402022-12-16
581곡성군RR-840[태안로]-상-3RR840번태안로U전라남도 곡성군 죽곡면 원달리 796-335.133831127.3655083전라남도 곡성군청061-286-74402022-12-16
582곡성군RR-840[태안로]-상-4RR840번태안로U전라남도 곡성군 죽곡면 원달리 산153-135.099944127.3716741전라남도 곡성군청061-286-74402022-12-16
583곡성군RR-840[태안로]-하-10RR840번태안로D전라남도 곡성군 죽곡면 남양리 218-735.160879127.3456513전라남도 곡성군청061-286-74402022-12-16
584곡성군RR-840[태안로]-하-5RR840번태안로D전라남도 곡성군 죽곡면 원달리 산153-335.099852127.3719751전라남도 곡성군청061-286-74402022-12-16
585곡성군RR-840[태안로]-하-6RR840번태안로D전라남도 곡성군 죽곡면 유봉리 549-2435.159896127.3469773전라남도 곡성군청061-286-74402022-12-16
586곡성군RR-840[태안로]-하-7RR840번태안로D전라남도 곡성군 죽곡면 원달리 산25-335.12985127.3676845전라남도 곡성군청061-286-74402022-12-16
587곡성군RR-840[태안로]-하-8RR840번태안로D전라남도 곡성군 죽곡면 원달리 산18-2235.133183127.3662163전라남도 곡성군청061-286-74402022-12-16
588곡성군RR-840[태안로]-하-9RR840번태안로D전라남도 곡성군 죽곡면 유봉리 산58-235.161556127.3481975전라남도 곡성군청061-286-74402022-12-16