Overview

Dataset statistics

Number of variables12
Number of observations23
Missing cells11
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory105.7 B

Variable types

Categorical5
Text2
Numeric4
DateTime1

Dataset

Description전라남도 곡성군 도로현황(도로별, 노선번호, 노선명, 총연장, 포장율 등) 시도명, 시군구명, 도로별, 노선번호별, 노선명, 총연장, 포장연장, 미포장연장, 포장율, 관리기관전화번호 등
URLhttps://www.data.go.kr/data/3074902/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
총연장 is highly overall correlated with 포장연장 and 1 other fieldsHigh correlation
포장연장 is highly overall correlated with 총연장 and 1 other fieldsHigh correlation
미포장연장 is highly overall correlated with 총연장 and 1 other fieldsHigh correlation
포장율 is highly overall correlated with 미포장연장High correlation
도로별 is highly overall correlated with 포장연장High correlation
미포장연장 has 11 (47.8%) missing valuesMissing
총연장 has unique valuesUnique
포장연장 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:38:37.303998
Analysis finished2023-12-12 08:38:39.709533
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
전라남도
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 23
100.0%

Length

2023-12-12T17:38:39.782758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:39.873649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 23
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
곡성군
23 

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 23
100.0%

Length

2023-12-12T17:38:39.969826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:40.077938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
곡성군 23
100.0%

도로별
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
군도
11 
국도
3 
위임국도
3 
농어촌도로
3 
지방도
2 

Length

Max length5
Median length2
Mean length2.826087
Min length2

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row고속도로
2nd row국도
3rd row국도
4th row국도
5th row위임국도

Common Values

ValueCountFrequency (%)
군도 11
47.8%
국도 3
 
13.0%
위임국도 3
 
13.0%
농어촌도로 3
 
13.0%
지방도 2
 
8.7%
고속도로 1
 
4.3%

Length

2023-12-12T17:38:40.198589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:40.336480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
군도 11
47.8%
국도 3
 
13.0%
위임국도 3
 
13.0%
농어촌도로 3
 
13.0%
지방도 2
 
8.7%
고속도로 1
 
4.3%

노선번호
Text

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T17:38:40.529481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9130435
Min length2

Characters and Unicode

Total characters67
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row25호
2nd row13호
3rd row17호
4th row27호
5th row15호
ValueCountFrequency (%)
17호 2
 
8.7%
13호 2
 
8.7%
6호 1
 
4.3%
25호 1
 
4.3%
5호 1
 
4.3%
리도 1
 
4.3%
면도 1
 
4.3%
12호 1
 
4.3%
11호 1
 
4.3%
9호 1
 
4.3%
Other values (11) 11
47.8%
2023-12-12T17:38:40.924657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 20
29.9%
1 10
14.9%
8
 
11.9%
2 4
 
6.0%
7 3
 
4.5%
3 3
 
4.5%
5 3
 
4.5%
8 3
 
4.5%
도 3
 
4.5%
6 2
 
3.0%
Other values (6) 8
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33
49.3%
Other Letter 26
38.8%
Space Separator 8
 
11.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
30.3%
2 4
 
12.1%
7 3
 
9.1%
3 3
 
9.1%
5 3
 
9.1%
8 3
 
9.1%
6 2
 
6.1%
0 2
 
6.1%
4 2
 
6.1%
9 1
 
3.0%
Other Letter
ValueCountFrequency (%)
호 20
76.9%
도 3
 
11.5%
면 1
 
3.8%
리 1
 
3.8%
농 1
 
3.8%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
61.2%
Hangul 26
38.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 10
24.4%
8
19.5%
2 4
 
9.8%
7 3
 
7.3%
3 3
 
7.3%
5 3
 
7.3%
8 3
 
7.3%
6 2
 
4.9%
0 2
 
4.9%
4 2
 
4.9%
Hangul
ValueCountFrequency (%)
호 20
76.9%
도 3
 
11.5%
면 1
 
3.8%
리 1
 
3.8%
농 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
61.2%
Hangul 26
38.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 20
76.9%
도 3
 
11.5%
면 1
 
3.8%
리 1
 
3.8%
농 1
 
3.8%
ASCII
ValueCountFrequency (%)
1 10
24.4%
8
19.5%
2 4
 
9.8%
7 3
 
7.3%
3 3
 
7.3%
5 3
 
7.3%
8 3
 
7.3%
6 2
 
4.9%
0 2
 
4.9%
4 2
 
4.9%

노선명
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T17:38:41.133540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6
Min length5

Characters and Unicode

Total characters138
Distinct characters68
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

Unique21 ?
Unique (%)91.3%

Sample

1st row호남고속도로
2nd row완도~금산선
3rd row여천~용인선
4th row고흥~군산선
5th row고흥~담양선
ValueCountFrequency (%)
노선 3
 
11.5%
여천~용인선 2
 
7.7%
단사~만수선 1
 
3.8%
신기~공북선 1
 
3.8%
66개 1
 
3.8%
7개 1
 
3.8%
송전~합강선 1
 
3.8%
평리~하한선 1
 
3.8%
능파~연화선 1
 
3.8%
가정~대사선 1
 
3.8%
Other values (13) 13
50.0%
2023-12-12T17:38:41.470625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 22
 
15.9%
~ 19
 
13.8%
1 3
 
2.2%
노 3
 
2.2%
3
 
2.2%
개 3
 
2.2%
고 3
 
2.2%
기 3
 
2.2%
도 3
 
2.2%
평 2
 
1.4%
Other values (58) 74
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
79.7%
Math Symbol 19
 
13.8%
Decimal Number 6
 
4.3%
Space Separator 3
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 22
 
20.0%
노 3
 
2.7%
개 3
 
2.7%
고 3
 
2.7%
기 3
 
2.7%
도 3
 
2.7%
평 2
 
1.8%
신 2
 
1.8%
석 2
 
1.8%
천 2
 
1.8%
Other values (53) 65
59.1%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
6 2
33.3%
7 1
 
16.7%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
79.7%
Common 28
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 22
 
20.0%
노 3
 
2.7%
개 3
 
2.7%
고 3
 
2.7%
기 3
 
2.7%
도 3
 
2.7%
평 2
 
1.8%
신 2
 
1.8%
석 2
 
1.8%
천 2
 
1.8%
Other values (53) 65
59.1%
Common
ValueCountFrequency (%)
~ 19
67.9%
1 3
 
10.7%
3
 
10.7%
6 2
 
7.1%
7 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
79.7%
ASCII 28
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 22
 
20.0%
노 3
 
2.7%
개 3
 
2.7%
고 3
 
2.7%
기 3
 
2.7%
도 3
 
2.7%
평 2
 
1.8%
신 2
 
1.8%
석 2
 
1.8%
천 2
 
1.8%
Other values (53) 65
59.1%
ASCII
ValueCountFrequency (%)
~ 19
67.9%
1 3
 
10.7%
3
 
10.7%
6 2
 
7.1%
7 1
 
3.6%

총연장
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.645739
Minimum0.7
Maximum174.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T17:38:41.580936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile3.65
Q19.044
median13
Q323.55
95-th percentile135.29
Maximum174.1
Range173.4
Interquartile range (IQR)14.506

Descriptive statistics

Standard deviation43.124119
Coefficient of variation (CV)1.559883
Kurtosis7.8179943
Mean27.645739
Median Absolute Deviation (MAD)7.3
Skewness2.8949103
Sum635.852
Variance1859.6897
MonotonicityNot monotonic
2023-12-12T17:38:41.683460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30.36 1
 
4.3%
12.379 1
 
4.3%
174.1 1
 
4.3%
145.1 1
 
4.3%
22.5 1
 
4.3%
3.5 1
 
4.3%
10.7 1
 
4.3%
5.6 1
 
4.3%
12.9 1
 
4.3%
11.2 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
0.7 1
4.3%
3.5 1
4.3%
5.0 1
4.3%
5.6 1
4.3%
5.7 1
4.3%
9.0 1
4.3%
9.088 1
4.3%
10.7 1
4.3%
11.2 1
4.3%
12.379 1
4.3%
ValueCountFrequency (%)
174.1 1
4.3%
145.1 1
4.3%
47.0 1
4.3%
30.36 1
4.3%
28.918 1
4.3%
24.6 1
4.3%
22.5 1
4.3%
18.88 1
4.3%
16.17 1
4.3%
15.957 1
4.3%

포장연장
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.704435
Minimum0.7
Maximum125.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T17:38:41.793816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile1.21
Q15.25
median11.2
Q317.64
95-th percentile65.9
Maximum125.7
Range125
Interquartile range (IQR)12.39

Descriptive statistics

Standard deviation28.060424
Coefficient of variation (CV)1.4240664
Kurtosis9.3517546
Mean19.704435
Median Absolute Deviation (MAD)6.2
Skewness2.8907417
Sum453.202
Variance787.38737
MonotonicityNot monotonic
2023-12-12T17:38:41.904856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30.36 1
 
4.3%
11.779 1
 
4.3%
125.7 1
 
4.3%
68.0 1
 
4.3%
16.4 1
 
4.3%
2.4 1
 
4.3%
1.1 1
 
4.3%
5.6 1
 
4.3%
4.9 1
 
4.3%
5.5 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
0.7 1
4.3%
1.1 1
4.3%
2.2 1
4.3%
2.4 1
4.3%
4.9 1
4.3%
5.0 1
4.3%
5.5 1
4.3%
5.6 1
4.3%
5.7 1
4.3%
8.87 1
4.3%
ValueCountFrequency (%)
125.7 1
4.3%
68.0 1
4.3%
47.0 1
4.3%
30.36 1
4.3%
28.918 1
4.3%
18.88 1
4.3%
16.4 1
4.3%
16.17 1
4.3%
15.957 1
4.3%
11.78 1
4.3%

미포장연장
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct12
Distinct (%)100.0%
Missing11
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean15.220833
Minimum0.6
Maximum77.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T17:38:42.005379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.875
Q13.5275
median6.45
Q310.55
95-th percentile61.315
Maximum77.1
Range76.5
Interquartile range (IQR)7.0225

Descriptive statistics

Standard deviation23.316264
Coefficient of variation (CV)1.5318652
Kurtosis4.5137126
Mean15.220833
Median Absolute Deviation (MAD)3.94
Skewness2.2455096
Sum182.65
Variance543.64819
MonotonicityNot monotonic
2023-12-12T17:38:42.110080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.6 1
 
4.3%
6.8 1
 
4.3%
13.4 1
 
4.3%
4.13 1
 
4.3%
1.72 1
 
4.3%
5.7 1
 
4.3%
8.0 1
 
4.3%
9.6 1
 
4.3%
1.1 1
 
4.3%
6.1 1
 
4.3%
Other values (2) 2
 
8.7%
(Missing) 11
47.8%
ValueCountFrequency (%)
0.6 1
4.3%
1.1 1
4.3%
1.72 1
4.3%
4.13 1
4.3%
5.7 1
4.3%
6.1 1
4.3%
6.8 1
4.3%
8.0 1
4.3%
9.6 1
4.3%
13.4 1
4.3%
ValueCountFrequency (%)
77.1 1
4.3%
48.4 1
4.3%
13.4 1
4.3%
9.6 1
4.3%
8.0 1
4.3%
6.8 1
4.3%
6.1 1
4.3%
5.7 1
4.3%
4.13 1
4.3%
1.72 1
4.3%

포장율
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.295652
Minimum10.2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T17:38:42.205510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.2
5-th percentile25.75
Q158.65
median95.1
Q3100
95-th percentile100
Maximum100
Range89.8
Interquartile range (IQR)41.35

Descriptive statistics

Standard deviation28.508762
Coefficient of variation (CV)0.3688275
Kurtosis-0.19504779
Mean77.295652
Median Absolute Deviation (MAD)4.9
Skewness-0.98925177
Sum1777.8
Variance812.74953
MonotonicityNot monotonic
2023-12-12T17:38:42.291190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
100.0 11
47.8%
95.1 1
 
4.3%
24.4 1
 
4.3%
45.5 1
 
4.3%
68.2 1
 
4.3%
87.2 1
 
4.3%
49.1 1
 
4.3%
37.9 1
 
4.3%
10.2 1
 
4.3%
68.5 1
 
4.3%
Other values (3) 3
 
13.0%
ValueCountFrequency (%)
10.2 1
4.3%
24.4 1
4.3%
37.9 1
4.3%
45.5 1
4.3%
46.8 1
4.3%
49.1 1
4.3%
68.2 1
4.3%
68.5 1
4.3%
72.1 1
4.3%
72.8 1
4.3%
ValueCountFrequency (%)
100.0 11
47.8%
95.1 1
 
4.3%
87.2 1
 
4.3%
72.8 1
 
4.3%
72.1 1
 
4.3%
68.5 1
 
4.3%
68.2 1
 
4.3%
49.1 1
 
4.3%
46.8 1
 
4.3%
45.5 1
 
4.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
061-360-8623
23 

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 (%)
061-360-8623 23
100.0%

Length

2023-12-12T17:38:42.388870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:42.469362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
061-360-8623 23
100.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
전라남도 곡성군청
23 

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 23
100.0%

Length

2023-12-12T17:38:42.546851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:42.627446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 23
50.0%
곡성군청 23
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-03-28 00:00:00
Maximum2023-03-28 00:00:00
2023-12-12T17:38:42.698895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:42.789222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:38:39.032336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:37.667549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.215464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.612287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:39.135307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:37.887046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.316663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.734958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:39.231195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.018899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.415797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.848139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:39.345784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.127972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.527109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:38:38.951698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:38:42.863095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로별노선번호노선명총연장포장연장미포장연장포장율
도로별1.0000.7000.7660.6170.8770.3230.000
노선번호0.7001.0001.0000.9620.9721.0000.995
노선명0.7661.0001.0000.9300.9431.0001.000
총연장0.6170.9620.9301.0000.9390.9750.000
포장연장0.8770.9720.9430.9391.0000.9670.000
미포장연장0.3231.0001.0000.9750.9671.0000.000
포장율0.0000.9951.0000.0000.0000.0001.000
2023-12-12T17:38:42.967780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총연장포장연장미포장연장포장율도로별
총연장1.0000.9000.552-0.0350.453
포장연장0.9001.0000.2240.3060.503
미포장연장0.5520.2241.000-0.5730.248
포장율-0.0350.306-0.5731.0000.000
도로별0.4530.5030.2480.0001.000

Missing values

2023-12-12T17:38:39.462322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:38:39.644821image/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

시도명시군구명도로별노선번호노선명총연장포장연장미포장연장포장율관리기관전화번호관리기관명데이터기준일자
0전라남도곡성군고속도로25호호남고속도로30.3630.36<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
1전라남도곡성군국도13호완도~금산선12.37911.7790.695.1061-360-8623전라남도 곡성군청2023-03-28
2전라남도곡성군국도17호여천~용인선18.8818.88<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
3전라남도곡성군국도27호고흥~군산선28.91828.918<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
4전라남도곡성군위임국도15호고흥~담양선9.0889.088<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
5전라남도곡성군위임국도17호여천~용인선0.70.7<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
6전라남도곡성군위임국도18호진도~구례선15.95715.957<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
7전라남도곡성군지방도60호무안~기장선16.1716.17<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
8전라남도곡성군지방도840호광양~입면선47.047.0<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
9전라남도곡성군군도1호월봉~매월선9.02.26.824.4061-360-8623전라남도 곡성군청2023-03-28
시도명시군구명도로별노선번호노선명총연장포장연장미포장연장포장율관리기관전화번호관리기관명데이터기준일자
13전라남도곡성군군도5호신기~공북선5.75.7<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
14전라남도곡성군군도6호단사~만수선13.511.781.7287.2061-360-8623전라남도 곡성군청2023-03-28
15전라남도곡성군군도8호죽림~합강선11.25.55.749.1061-360-8623전라남도 곡성군청2023-03-28
16전라남도곡성군군도9호가정~대사선12.94.98.037.9061-360-8623전라남도 곡성군청2023-03-28
17전라남도곡성군군도11호능파~연화선5.65.6<NA>100.0061-360-8623전라남도 곡성군청2023-03-28
18전라남도곡성군군도12호평리~하한선10.71.19.610.2061-360-8623전라남도 곡성군청2023-03-28
19전라남도곡성군군도13호송전~합강선3.52.41.168.5061-360-8623전라남도 곡성군청2023-03-28
20전라남도곡성군농어촌도로면도7개 노선22.516.46.172.8061-360-8623전라남도 곡성군청2023-03-28
21전라남도곡성군농어촌도로리도66개 노선145.168.077.146.8061-360-8623전라남도 곡성군청2023-03-28
22전라남도곡성군농어촌도로농도111개 노선174.1125.748.472.1061-360-8623전라남도 곡성군청2023-03-28