Overview

Dataset statistics

Number of variables12
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory100.9 B

Variable types

Numeric3
Text2
Categorical6
Unsupported1

Dataset

Description인천광역시 보도육교(시설물명, 시설물 위치, 길이, 폭, 준공년도, 상부형식, 하부형식, 관리주체 등)에 관한 현황 자료 입니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15045184/fileData.do

Alerts

위치(군구) is highly overall correlated with 구분 and 4 other fieldsHigh correlation
관리주체 is highly overall correlated with 구분 and 4 other fieldsHigh correlation
비고 is highly overall correlated with 구분 and 3 other fieldsHigh correlation
구분 is highly overall correlated with 위치(군구) and 3 other fieldsHigh correlation
폭(미터) is highly overall correlated with 상부 형식High correlation
상부 형식 is highly overall correlated with 폭(미터) and 3 other fieldsHigh correlation
하부 형식 is highly overall correlated with 구분 and 4 other fieldsHigh correlation
설계하중 is highly overall correlated with 위치(군구) and 3 other fieldsHigh correlation
설계하중 is highly imbalanced (56.2%)Imbalance
구분 has unique valuesUnique
시설물명 has unique valuesUnique
준공년도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:25:56.045985
Analysis finished2023-12-12 12:25:57.965457
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T21:25:58.070323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2023-12-12T21:25:58.285415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

시설물명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T21:25:58.646066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.1126761
Min length2

Characters and Unicode

Total characters434
Distinct characters124
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row도원보도육교
2nd row연안보도육교
3rd row인천항도보육교
4th row축항로보도육교
5th row남육교
ValueCountFrequency (%)
보도육교 7
 
8.8%
도원보도육교 1
 
1.2%
석남보도육교 1
 
1.2%
건지보도육교 1
 
1.2%
갈현보도육교 1
 
1.2%
삼산2보도육교 1
 
1.2%
삼산1보도육교 1
 
1.2%
여울보도육교 1
 
1.2%
진산초교보도육교 1
 
1.2%
구산초교보도육교 1
 
1.2%
Other values (64) 64
80.0%
2023-12-12T21:25:59.196563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 64
 
14.7%
육 50
 
11.5%
도 47
 
10.8%
보 42
 
9.7%
동 9
 
2.1%
9
 
2.1%
초 8
 
1.8%
현 7
 
1.6%
산 6
 
1.4%
지 6
 
1.4%
Other values (114) 186
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
95.2%
Space Separator 9
 
2.1%
Decimal Number 6
 
1.4%
Other Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 64
 
15.5%
육 50
 
12.1%
도 47
 
11.4%
보 42
 
10.2%
동 9
 
2.2%
초 8
 
1.9%
현 7
 
1.7%
산 6
 
1.5%
지 6
 
1.5%
장 6
 
1.5%
Other values (106) 168
40.7%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
95.2%
Common 19
 
4.4%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 64
 
15.5%
육 50
 
12.1%
도 47
 
11.4%
보 42
 
10.2%
동 9
 
2.2%
초 8
 
1.9%
현 7
 
1.7%
산 6
 
1.5%
지 6
 
1.5%
장 6
 
1.5%
Other values (106) 168
40.7%
Common
ValueCountFrequency (%)
9
47.4%
1 3
 
15.8%
2 3
 
15.8%
. 2
 
10.5%
) 1
 
5.3%
( 1
 
5.3%
Latin
ValueCountFrequency (%)
C 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
95.2%
ASCII 21
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 64
 
15.5%
육 50
 
12.1%
도 47
 
11.4%
보 42
 
10.2%
동 9
 
2.2%
초 8
 
1.9%
현 7
 
1.7%
산 6
 
1.5%
지 6
 
1.5%
장 6
 
1.5%
Other values (106) 168
40.7%
ASCII
ValueCountFrequency (%)
9
42.9%
1 3
 
14.3%
2 3
 
14.3%
. 2
 
9.5%
C 1
 
4.8%
I 1
 
4.8%
) 1
 
4.8%
( 1
 
4.8%

위치(군구)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size700.0 B
서구
20 
남동구
14 
부평구
11 
중구
10 
미추홀구
9 
Other values (3)
7 

Length

Max length4
Median length3
Mean length2.6901408
Min length2

Unique

Unique2 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
서구 20
28.2%
남동구 14
19.7%
부평구 11
15.5%
중구 10
14.1%
미추홀구 9
12.7%
연수구 5
 
7.0%
동구 1
 
1.4%
계양구 1
 
1.4%

Length

2023-12-12T21:25:59.419077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:25:59.606641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 20
28.2%
남동구 14
19.7%
부평구 11
15.5%
중구 10
14.1%
미추홀구 9
12.7%
연수구 5
 
7.0%
동구 1
 
1.4%
계양구 1
 
1.4%

도로명주소 또는 지번
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T21:26:00.002534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.43662
Min length5

Characters and Unicode

Total characters741
Distinct characters94
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)97.2%

Sample

1st row참외전로 212-3
2nd row축항대로 240
3rd row서해대로 307
4th row축항대로 274
5th row운서동 2785-12
ValueCountFrequency (%)
미추홀구 9
 
5.9%
삼산동 6
 
3.9%
운서동 5
 
3.3%
연수구 5
 
3.3%
굴포로 2
 
1.3%
부평동 2
 
1.3%
수인로 2
 
1.3%
경원대로 2
 
1.3%
관교동 2
 
1.3%
용현5동 2
 
1.3%
Other values (112) 116
75.8%
2023-12-12T21:26:00.643402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
9.4%
동 57
 
7.7%
1 46
 
6.2%
2 44
 
5.9%
5 39
 
5.3%
- 32
 
4.3%
로 30
 
4.0%
4 28
 
3.8%
6 26
 
3.5%
3 24
 
3.2%
Other values (84) 345
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
44.0%
Decimal Number 277
37.4%
Space Separator 70
 
9.4%
Dash Punctuation 32
 
4.3%
Close Punctuation 12
 
1.6%
Open Punctuation 12
 
1.6%
Control 12
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
17.5%
로 30
 
9.2%
구 15
 
4.6%
수 11
 
3.4%
미 11
 
3.4%
산 9
 
2.8%
홀 9
 
2.8%
추 9
 
2.8%
정 8
 
2.5%
가 8
 
2.5%
Other values (69) 159
48.8%
Decimal Number
ValueCountFrequency (%)
1 46
16.6%
2 44
15.9%
5 39
14.1%
4 28
10.1%
6 26
9.4%
3 24
8.7%
8 23
8.3%
7 22
7.9%
0 15
 
5.4%
9 10
 
3.6%
Space Separator
ValueCountFrequency (%)
70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Control
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 415
56.0%
Hangul 326
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
17.5%
로 30
 
9.2%
구 15
 
4.6%
수 11
 
3.4%
미 11
 
3.4%
산 9
 
2.8%
홀 9
 
2.8%
추 9
 
2.8%
정 8
 
2.5%
가 8
 
2.5%
Other values (69) 159
48.8%
Common
ValueCountFrequency (%)
70
16.9%
1 46
11.1%
2 44
10.6%
5 39
9.4%
- 32
7.7%
4 28
 
6.7%
6 26
 
6.3%
3 24
 
5.8%
8 23
 
5.5%
7 22
 
5.3%
Other values (5) 61
14.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 415
56.0%
Hangul 326
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
16.9%
1 46
11.1%
2 44
10.6%
5 39
9.4%
- 32
7.7%
4 28
 
6.7%
6 26
 
6.3%
3 24
 
5.8%
8 23
 
5.5%
7 22
 
5.3%
Other values (5) 61
14.7%
Hangul
ValueCountFrequency (%)
동 57
 
17.5%
로 30
 
9.2%
구 15
 
4.6%
수 11
 
3.4%
미 11
 
3.4%
산 9
 
2.8%
홀 9
 
2.8%
추 9
 
2.8%
정 8
 
2.5%
가 8
 
2.5%
Other values (69) 159
48.8%

길이(미터)
Real number (ℝ)

Distinct59
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.992958
Minimum17
Maximum164.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T21:26:00.832017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile25.75
Q133.5
median44.4
Q377.5
95-th percentile131.85
Maximum164.6
Range147.6
Interquartile range (IQR)44

Descriptive statistics

Standard deviation35.359995
Coefficient of variation (CV)0.58940243
Kurtosis0.52407653
Mean59.992958
Median Absolute Deviation (MAD)14.9
Skewness1.1736497
Sum4259.5
Variance1250.3292
MonotonicityNot monotonic
2023-12-12T21:26:01.047581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.0 3
 
4.2%
41.5 3
 
4.2%
88.0 3
 
4.2%
30.0 3
 
4.2%
55.5 2
 
2.8%
49.0 2
 
2.8%
70.0 2
 
2.8%
25.5 2
 
2.8%
74.0 1
 
1.4%
74.2 1
 
1.4%
Other values (49) 49
69.0%
ValueCountFrequency (%)
17.0 1
 
1.4%
19.0 1
 
1.4%
25.5 2
2.8%
26.0 1
 
1.4%
28.4 1
 
1.4%
28.8 1
 
1.4%
29.0 1
 
1.4%
29.4 1
 
1.4%
29.5 1
 
1.4%
30.0 3
4.2%
ValueCountFrequency (%)
164.6 1
1.4%
150.0 1
1.4%
138.0 1
1.4%
133.7 1
1.4%
130.0 1
1.4%
126.0 1
1.4%
125.0 1
1.4%
118.0 1
1.4%
110.0 1
1.4%
108.0 1
1.4%

폭(미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3880282
Minimum2.4
Maximum8.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T21:26:01.220029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile3
Q14
median4
Q35
95-th percentile6.5
Maximum8.1
Range5.7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1430681
Coefficient of variation (CV)0.26049698
Kurtosis0.63528647
Mean4.3880282
Median Absolute Deviation (MAD)0.7
Skewness0.89231584
Sum311.55
Variance1.3066046
MonotonicityNot monotonic
2023-12-12T21:26:01.353644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4.0 34
47.9%
3.0 9
 
12.7%
6.0 6
 
8.5%
5.0 5
 
7.0%
4.7 5
 
7.0%
6.5 4
 
5.6%
2.4 1
 
1.4%
2.6 1
 
1.4%
2.9 1
 
1.4%
5.5 1
 
1.4%
Other values (4) 4
 
5.6%
ValueCountFrequency (%)
2.4 1
 
1.4%
2.6 1
 
1.4%
2.9 1
 
1.4%
3.0 9
 
12.7%
3.7 1
 
1.4%
4.0 34
47.9%
4.7 5
 
7.0%
5.0 5
 
7.0%
5.5 1
 
1.4%
6.0 6
 
8.5%
ValueCountFrequency (%)
8.1 1
 
1.4%
6.6 1
 
1.4%
6.5 4
 
5.6%
6.25 1
 
1.4%
6.0 6
 
8.5%
5.5 1
 
1.4%
5.0 5
 
7.0%
4.7 5
 
7.0%
4.0 34
47.9%
3.7 1
 
1.4%

준공년도
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size700.0 B

상부 형식
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
강박스
29 
STI
10 
스틸박스
8 
STB
6 
RCS
 
2
Other values (14)
16 

Length

Max length7
Median length3
Mean length3.1830986
Min length2

Unique

Unique12 ?
Unique (%)16.9%

Sample

1st row강박스
2nd row강박스
3rd row강박스
4th row강박스
5th rowSTB

Common Values

ValueCountFrequency (%)
강박스 29
40.8%
STI 10
 
14.1%
스틸박스 8
 
11.3%
STB 6
 
8.5%
RCS 2
 
2.8%
트러스 2
 
2.8%
사장교 2
 
2.8%
H형강 1
 
1.4%
현수교 1
 
1.4%
트러스아치 1
 
1.4%
Other values (9) 9
 
12.7%

Length

2023-12-12T21:26:01.512974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강박스 29
39.2%
sti 10
 
13.5%
스틸박스 8
 
10.8%
stb 6
 
8.1%
rcs 2
 
2.7%
트러스 2
 
2.7%
사장교 2
 
2.7%
라멘 1
 
1.4%
강관형 1
 
1.4%
빔 1
 
1.4%
Other values (12) 12
16.2%

하부 형식
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size700.0 B
강재
26 
기둥식
9 
로울러받침
9 
포트받침
7 
T형교각식(T)
4 
Other values (9)
16 

Length

Max length8
Median length5
Mean length3.2957746
Min length2

Unique

Unique5 ?
Unique (%)7.0%

Sample

1st row기둥식
2nd row강재
3rd row기둥식
4th row기둥식
5th row기둥식

Common Values

ValueCountFrequency (%)
강재 26
36.6%
기둥식 9
 
12.7%
로울러받침 9
 
12.7%
포트받침 7
 
9.9%
T형교각식(T) 4
 
5.6%
라멘 3
 
4.2%
반중력식 3
 
4.2%
원형강관 3
 
4.2%
T형 2
 
2.8%
<NA> 1
 
1.4%
Other values (4) 4
 
5.6%

Length

2023-12-12T21:26:01.668236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강재 26
36.6%
기둥식 9
 
12.7%
로울러받침 9
 
12.7%
포트받침 7
 
9.9%
t형교각식(t 4
 
5.6%
라멘 3
 
4.2%
반중력식 3
 
4.2%
원형강관 3
 
4.2%
t형 2
 
2.8%
na 1
 
1.4%
Other values (4) 4
 
5.6%

설계하중
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size700.0 B
DB-13.5
55 
DB-24
7 
DB-13
 
5
DB-13.6
 
1
지가장 L=≤80m이므로 3.5*10-3(MPa)의 등분포 하중 재하
 
1
Other values (2)
 
2

Length

Max length38
Median length7
Mean length6.9859155
Min length1

Unique

Unique4 ?
Unique (%)5.6%

Sample

1st rowDB-13.5
2nd rowDB-13.5
3rd rowDB-13.5
4th rowDB-13.5
5th rowDB-13.5

Common Values

ValueCountFrequency (%)
DB-13.5 55
77.5%
DB-24 7
 
9.9%
DB-13 5
 
7.0%
DB-13.6 1
 
1.4%
지가장 L=≤80m이므로 3.5*10-3(MPa)의 등분포 하중 재하 1
 
1.4%
DB-18 1
 
1.4%
- 1
 
1.4%

Length

2023-12-12T21:26:01.831182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:01.980349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
db-13.5 55
72.4%
db-24 7
 
9.2%
db-13 5
 
6.6%
db-13.6 1
 
1.3%
지가장 1
 
1.3%
l=≤80m이므로 1
 
1.3%
3.5*10-3(mpa)의 1
 
1.3%
등분포 1
 
1.3%
하중 1
 
1.3%
재하 1
 
1.3%
Other values (2) 2
 
2.6%

관리주체
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Memory size700.0 B
서구청 도로과
20 
남동구청 건설과
14 
부평구청 도로과
11 
미추홀구청 건설과
9 
중구청 기반시설과
6 
Other values (4)
11 

Length

Max length9
Median length8
Mean length7.8591549
Min length7

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row중구청 건설과
2nd row중구청 건설과
3rd row중구청 건설과
4th row중구청 건설과
5th row중구청 기반시설과

Common Values

ValueCountFrequency (%)
서구청 도로과 20
28.2%
남동구청 건설과 14
19.7%
부평구청 도로과 11
15.5%
미추홀구청 건설과 9
12.7%
중구청 기반시설과 6
 
8.5%
연수구청 건설과 5
 
7.0%
중구청 건설과 4
 
5.6%
동구청 건설과 1
 
1.4%
계양구청 건설과 1
 
1.4%

Length

2023-12-12T21:26:02.177085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:02.709098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설과 34
23.9%
도로과 31
21.8%
서구청 20
14.1%
남동구청 14
9.9%
부평구청 11
 
7.7%
중구청 10
 
7.0%
미추홀구청 9
 
6.3%
기반시설과 6
 
4.2%
연수구청 5
 
3.5%
동구청 1
 
0.7%

비고
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
3종
45 
3종
19 
일반
7 

Length

Max length3
Median length2
Mean length2.2676056
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3종
2nd row3종
3rd row3종
4th row3종
5th row일반

Common Values

ValueCountFrequency (%)
3종 45
63.4%
3종 19
26.8%
일반 7
 
9.9%

Length

2023-12-12T21:26:02.944660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:26:03.121737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3종 64
90.1%
일반 7
 
9.9%

Interactions

2023-12-12T21:25:57.215534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:56.687481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:56.949042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:57.305894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:56.773655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:57.036506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:57.406793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:56.869613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:25:57.128559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:26:03.241374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설물명위치(군구)도로명주소 또는 지번길이(미터)폭(미터)상부 형식하부 형식설계하중관리주체비고
구분1.0001.0000.8881.0000.2060.5130.8470.8490.7200.8800.816
시설물명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위치(군구)0.8881.0001.0001.0000.0000.3570.7580.8520.8011.0000.887
도로명주소 또는 지번1.0001.0001.0001.0000.0000.9550.0000.8661.0001.0001.000
길이(미터)0.2061.0000.0000.0001.0000.5100.8300.5680.4590.0000.297
폭(미터)0.5131.0000.3570.9550.5101.0000.8420.4430.5180.3010.497
상부 형식0.8471.0000.7580.0000.8300.8421.0000.9460.9370.7840.866
하부 형식0.8491.0000.8520.8660.5680.4430.9461.0000.9640.8270.648
설계하중0.7201.0000.8011.0000.4590.5180.9370.9641.0000.8020.342
관리주체0.8801.0001.0001.0000.0000.3010.7840.8270.8021.0001.000
비고0.8161.0000.8871.0000.2970.4970.8660.6480.3421.0001.000
2023-12-12T21:26:03.408661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설계하중위치(군구)관리주체상부 형식비고하부 형식
설계하중1.0000.5890.5860.7020.2350.837
위치(군구)0.5891.0000.9920.4010.8300.583
관리주체0.5860.9921.0000.4090.9370.527
상부 형식0.7020.4010.4091.0000.6280.694
비고0.2350.8300.9370.6281.0000.431
하부 형식0.8370.5830.5270.6940.4311.000
2023-12-12T21:26:03.566330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분길이(미터)폭(미터)위치(군구)상부 형식하부 형식설계하중관리주체비고
구분1.0000.0040.3160.6690.4920.5700.4430.6250.650
길이(미터)0.0041.000-0.0210.0000.4560.2640.2430.0000.171
폭(미터)0.316-0.0211.0000.1200.5070.2030.3050.1450.349
위치(군구)0.6690.0000.1201.0000.4010.5830.5890.9920.830
상부 형식0.4920.4560.5070.4011.0000.6940.7020.4090.628
하부 형식0.5700.2640.2030.5830.6941.0000.8370.5270.431
설계하중0.4430.2430.3050.5890.7020.8371.0000.5860.235
관리주체0.6250.0000.1450.9920.4090.5270.5861.0000.937
비고0.6500.1710.3490.8300.6280.4310.2350.9371.000

Missing values

2023-12-12T21:25:57.622678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:25:57.893906image/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

구분시설물명위치(군구)도로명주소 또는 지번길이(미터)폭(미터)준공년도상부 형식하부 형식설계하중관리주체비고
01도원보도육교중구참외전로 212-326.05.01997강박스기둥식DB-13.5중구청 건설과3종
12연안보도육교중구축항대로 24044.64.01993강박스강재DB-13.5중구청 건설과3종
23인천항도보육교중구서해대로 30745.34.01993강박스기둥식DB-13.5중구청 건설과3종
34축항로보도육교중구축항대로 27444.44.02004강박스기둥식DB-13.5중구청 건설과3종
45남육교중구운서동 2785-1288.04.72000STB기둥식DB-13.5중구청 기반시설과일반
56상업지구육교중구운서동 2783-388.04.72000STB기둥식DB-13.5중구청 기반시설과일반
67중앙공원육교중구운서동 2709-198.04.72000STB기둥식DB-13.5중구청 기반시설과일반
78북육교중구운서동 2708-3125.04.72000STB기둥식DB-13.5중구청 기반시설과일반
89방조제육교중구운서동 282670.04.72000STB강재DB-13.5중구청 기반시설과일반
910미단시티육교중구운북동 1305164.62.42011RC 및 철골<NA>DB-13.6중구청 기반시설과일반
구분시설물명위치(군구)도로명주소 또는 지번길이(미터)폭(미터)준공년도상부 형식하부 형식설계하중관리주체비고
6162백석초교앞보도육교서구백석동 산19-1029.44.01996STI로울러받침DB-13.5서구청 도로과3종
6263당하보도육교서구마전동 산118-633.06.02005STI로울러받침DB-13.5서구청 도로과3종
6364검단초교앞보도육교서구마전동316-530.63.02006STI로울러받침DB-13.5서구청 도로과3종
6465충민교서구청라동112-3471.68.12012트러스아치포트받침DB-24서구청 도로과3종
6566장경교서구청라동168-483.46.252012현수교포트받침DB-24서구청 도로과3종
6667장숙교서구청라동155-2940.06.62012트러스포트받침DB-24서구청 도로과3종
6768숙위교서구청라동155-2841.36.52012트러스포트받침DB-24서구청 도로과3종
6869문숙교서구청라동103-1255.56.52012사장교포트받침DB-24서구청 도로과3종
6970허암교서구청라동84-1155.56.52012사장교포트받침DB-24서구청 도로과3종
7071가정보도육교서구가정동610-395.66.02015아치교포트받침DB-24서구청 도로과3종