Overview

Dataset statistics

Number of variables29
Number of observations184
Missing cells671
Missing cells (%)12.6%
Duplicate rows7
Duplicate rows (%)3.8%
Total size in memory44.2 KiB
Average record size in memory245.7 B

Variable types

Categorical13
Numeric12
Text4

Dataset

Description부산광역시 도시 공간 정보시스템 내 도로시설 중 육교에 대한 현황입니다. 등록구, 도로구간, 설치위치 및 육교의 각종 재원이 있습니다.
Author부산광역시
URLhttps://www.data.go.kr/data/15080571/fileData.do

Alerts

지형지물명 has constant value ""Constant
Dataset has 7 (3.8%) duplicate rowsDuplicates
육교상부주형 is highly imbalanced (50.4%)Imbalance
육교경간길이 is highly imbalanced (50.0%)Imbalance
도로구간명 has 31 (16.8%) missing valuesMissing
행정동 has 44 (23.9%) missing valuesMissing
육교명 has 25 (13.6%) missing valuesMissing
육교위치 has 23 (12.5%) missing valuesMissing
총공사비 has 83 (45.1%) missing valuesMissing
총면적 has 148 (80.4%) missing valuesMissing
육교계단연장 has 40 (21.7%) missing valuesMissing
육교계단개소 has 29 (15.8%) missing valuesMissing
육교총폭 has 9 (4.9%) missing valuesMissing
육교계단폭 has 21 (11.4%) missing valuesMissing
육교통과높이 has 20 (10.9%) missing valuesMissing
육교난간연장 has 56 (30.4%) missing valuesMissing
육교난간높이 has 36 (19.6%) missing valuesMissing
육교실측높이 has 86 (46.7%) missing valuesMissing
상판연장 has 20 (10.9%) missing valuesMissing
총공사비 has 46 (25.0%) zerosZeros
총면적 has 13 (7.1%) zerosZeros
육교계단연장 has 12 (6.5%) zerosZeros
육교계단개소 has 16 (8.7%) zerosZeros
육교총폭 has 6 (3.3%) zerosZeros
육교계단폭 has 10 (5.4%) zerosZeros
육교통과높이 has 17 (9.2%) zerosZeros
육교난간연장 has 38 (20.7%) zerosZeros
육교난간높이 has 18 (9.8%) zerosZeros
육교실측높이 has 24 (13.0%) zerosZeros
상판연장 has 12 (6.5%) zerosZeros

Reproduction

Analysis started2023-12-12 06:22:46.378857
Analysis finished2023-12-12 06:22:47.059192
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지형지물명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
육교
184 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
육교 184
100.0%

Length

2023-12-12T15:22:47.157475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:47.327323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
육교 184
100.0%

일련번호
Real number (ℝ)

Distinct108
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103880.32
Minimum1
Maximum874106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:47.467072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q16
median19
Q3160001.25
95-th percentile316081.85
Maximum874106
Range874105
Interquartile range (IQR)159995.25

Descriptive statistics

Standard deviation179220.88
Coefficient of variation (CV)1.7252631
Kurtosis7.3649925
Mean103880.32
Median Absolute Deviation (MAD)18
Skewness2.4799273
Sum19113979
Variance3.2120124 × 1010
MonotonicityNot monotonic
2023-12-12T15:22:47.666333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 10
 
5.4%
3 9
 
4.9%
2 9
 
4.9%
4 9
 
4.9%
7 8
 
4.3%
5 7
 
3.8%
6 7
 
3.8%
8 6
 
3.3%
11 6
 
3.3%
10 5
 
2.7%
Other values (98) 108
58.7%
ValueCountFrequency (%)
1 10
5.4%
2 9
4.9%
3 9
4.9%
4 9
4.9%
5 7
3.8%
6 7
3.8%
7 8
4.3%
8 6
3.3%
9 4
 
2.2%
10 5
2.7%
ValueCountFrequency (%)
874106 1
0.5%
874105 1
0.5%
874104 1
0.5%
874103 1
0.5%
874003 1
0.5%
620201 1
0.5%
351100 1
0.5%
351001 1
0.5%
333001 1
0.5%
316082 1
0.5%

등록구
Categorical

Distinct16
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
사상구
24 
기장군
23 
동래구
18 
부산진구
16 
해운대구
16 
Other values (11)
87 

Length

Max length4
Median length3
Mean length2.9347826
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row연제구
2nd row연제구
3rd row연제구
4th row연제구
5th row북구

Common Values

ValueCountFrequency (%)
사상구 24
13.0%
기장군 23
12.5%
동래구 18
9.8%
부산진구 16
8.7%
해운대구 16
8.7%
북구 12
 
6.5%
사하구 12
 
6.5%
남구 10
 
5.4%
동구 10
 
5.4%
수영구 9
 
4.9%
Other values (6) 34
18.5%

Length

2023-12-12T15:22:47.836229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사상구 24
13.0%
기장군 23
12.5%
동래구 18
9.8%
부산진구 16
8.7%
해운대구 16
8.7%
북구 12
 
6.5%
사하구 12
 
6.5%
남구 10
 
5.4%
동구 10
 
5.4%
수영구 9
 
4.9%
Other values (6) 34
18.5%

도로구간명
Text

MISSING 

Distinct62
Distinct (%)40.5%
Missing31
Missing (%)16.8%
Memory size1.6 KiB
2023-12-12T15:22:48.161760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.6928105
Min length3

Characters and Unicode

Total characters1177
Distinct characters122
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

Unique39 ?
Unique (%)25.5%

Sample

1st row구덕로, 중앙로,금정로
2nd row해맞이로
3rd row충장로, 전포로,거제로
4th row대영로, 낙동로,금곡로
5th row용수로
ValueCountFrequency (%)
구덕로 19
 
8.2%
중앙로,금정로 19
 
8.2%
만덕로 12
 
5.2%
충렬로,해운로 12
 
5.2%
백양로 10
 
4.3%
대영로 9
 
3.9%
낙동로,금곡로 9
 
3.9%
신암로 9
 
3.9%
동평로 8
 
3.4%
연산로 7
 
3.0%
Other values (65) 119
51.1%
2023-12-12T15:22:48.686568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 263
22.3%
, 138
 
11.7%
80
 
6.8%
덕 36
 
3.1%
대 34
 
2.9%
금 30
 
2.5%
길 27
 
2.3%
정 27
 
2.3%
동 26
 
2.2%
구 26
 
2.2%
Other values (112) 490
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 941
79.9%
Other Punctuation 138
 
11.7%
Space Separator 80
 
6.8%
Decimal Number 11
 
0.9%
Connector Punctuation 5
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 263
27.9%
덕 36
 
3.8%
대 34
 
3.6%
금 30
 
3.2%
길 27
 
2.9%
정 27
 
2.9%
동 26
 
2.8%
구 26
 
2.8%
중 24
 
2.6%
앙 24
 
2.6%
Other values (103) 424
45.1%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
3 3
27.3%
2 2
 
18.2%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 138
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 941
79.9%
Common 236
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 263
27.9%
덕 36
 
3.8%
대 34
 
3.6%
금 30
 
3.2%
길 27
 
2.9%
정 27
 
2.9%
동 26
 
2.8%
구 26
 
2.8%
중 24
 
2.6%
앙 24
 
2.6%
Other values (103) 424
45.1%
Common
ValueCountFrequency (%)
, 138
58.5%
80
33.9%
_ 5
 
2.1%
1 5
 
2.1%
3 3
 
1.3%
2 2
 
0.8%
4 1
 
0.4%
( 1
 
0.4%
) 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 941
79.9%
ASCII 236
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 263
27.9%
덕 36
 
3.8%
대 34
 
3.6%
금 30
 
3.2%
길 27
 
2.9%
정 27
 
2.9%
동 26
 
2.8%
구 26
 
2.8%
중 24
 
2.6%
앙 24
 
2.6%
Other values (103) 424
45.1%
ASCII
ValueCountFrequency (%)
, 138
58.5%
80
33.9%
_ 5
 
2.1%
1 5
 
2.1%
3 3
 
1.3%
2 2
 
0.8%
4 1
 
0.4%
( 1
 
0.4%
) 1
 
0.4%

행정동
Text

MISSING 

Distinct75
Distinct (%)53.6%
Missing44
Missing (%)23.9%
Memory size1.6 KiB
2023-12-12T15:22:49.050235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6071429
Min length3

Characters and Unicode

Total characters505
Distinct characters74
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)31.4%

Sample

1st row연산1동
2nd row거제4동
3rd row연산1동
4th row화명2동
5th row화명3동
ValueCountFrequency (%)
기장읍 11
 
7.9%
정관읍 8
 
5.7%
명지동 5
 
3.6%
주례1동 5
 
3.6%
학장동 4
 
2.9%
범일2동 4
 
2.9%
부암1동 4
 
2.9%
온천1동 4
 
2.9%
안락2동 3
 
2.1%
남천1동 3
 
2.1%
Other values (65) 89
63.6%
2023-12-12T15:22:49.570286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 118
23.4%
1 37
 
7.3%
2 29
 
5.7%
읍 21
 
4.2%
3 18
 
3.6%
장 17
 
3.4%
천 13
 
2.6%
기 11
 
2.2%
정 11
 
2.2%
명 11
 
2.2%
Other values (64) 219
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 415
82.2%
Decimal Number 90
 
17.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 118
28.4%
읍 21
 
5.1%
장 17
 
4.1%
천 13
 
3.1%
기 11
 
2.7%
정 11
 
2.7%
명 11
 
2.7%
부 10
 
2.4%
주 9
 
2.2%
대 8
 
1.9%
Other values (58) 186
44.8%
Decimal Number
ValueCountFrequency (%)
1 37
41.1%
2 29
32.2%
3 18
20.0%
4 3
 
3.3%
5 2
 
2.2%
6 1
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 415
82.2%
Common 90
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 118
28.4%
읍 21
 
5.1%
장 17
 
4.1%
천 13
 
3.1%
기 11
 
2.7%
정 11
 
2.7%
명 11
 
2.7%
부 10
 
2.4%
주 9
 
2.2%
대 8
 
1.9%
Other values (58) 186
44.8%
Common
ValueCountFrequency (%)
1 37
41.1%
2 29
32.2%
3 18
20.0%
4 3
 
3.3%
5 2
 
2.2%
6 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 415
82.2%
ASCII 90
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 118
28.4%
읍 21
 
5.1%
장 17
 
4.1%
천 13
 
3.1%
기 11
 
2.7%
정 11
 
2.7%
명 11
 
2.7%
부 10
 
2.4%
주 9
 
2.2%
대 8
 
1.9%
Other values (58) 186
44.8%
ASCII
ValueCountFrequency (%)
1 37
41.1%
2 29
32.2%
3 18
20.0%
4 3
 
3.3%
5 2
 
2.2%
6 1
 
1.1%

관리기관
Categorical

Distinct19
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
51 
사상구
23 
부산진구
16 
동래구 도시국 건설과
14 
해운대구 도시건설국 건설과
12 
Other values (14)
68 

Length

Max length14
Median length11
Mean length5.1793478
Min length2

Unique

Unique5 ?
Unique (%)2.7%

Sample

1st row연제구
2nd row연제구
3rd row연제구
4th row연제구
5th row북구

Common Values

ValueCountFrequency (%)
<NA> 51
27.7%
사상구 23
12.5%
부산진구 16
 
8.7%
동래구 도시국 건설과 14
 
7.6%
해운대구 도시건설국 건설과 12
 
6.5%
남구 10
 
5.4%
북구 10
 
5.4%
동구 9
 
4.9%
중구 8
 
4.3%
금정구 도시국 건설과 8
 
4.3%
Other values (9) 23
12.5%

Length

2023-12-12T15:22:49.755701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 51
19.1%
건설과 45
16.9%
도시국 26
9.7%
사상구 23
8.6%
부산진구 16
 
6.0%
동래구 15
 
5.6%
해운대구 13
 
4.9%
도시건설국 12
 
4.5%
북구 10
 
3.7%
남구 10
 
3.7%
Other values (9) 46
17.2%

육교명
Text

MISSING 

Distinct136
Distinct (%)85.5%
Missing25
Missing (%)13.6%
Memory size1.6 KiB
2023-12-12T15:22:50.057023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.2201258
Min length1

Characters and Unicode

Total characters1307
Distinct characters214
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)80.5%

Sample

1st row연산동 시청앞
2nd row거제동 철길
3rd row거제역 앞
4th row연산동 외환은행 앞
5th row화신중학교앞
ValueCountFrequency (%)
육교 21
 
9.7%
경부선횡단육교 5
 
2.3%
온천동 5
 
2.3%
앞 4
 
1.8%
동해남부선위육교 4
 
1.8%
하단동 3
 
1.4%
연산동 3
 
1.4%
장림2동 3
 
1.4%
안락동 3
 
1.4%
기장스포츠앞육교 2
 
0.9%
Other values (157) 164
75.6%
2023-12-12T15:22:50.535972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 129
 
9.9%
육 103
 
7.9%
94
 
7.2%
앞 77
 
5.9%
동 65
 
5.0%
부 29
 
2.2%
대 21
 
1.6%
구 21
 
1.6%
장 20
 
1.5%
학 18
 
1.4%
Other values (204) 730
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1146
87.7%
Space Separator 94
 
7.2%
Decimal Number 40
 
3.1%
Uppercase Letter 15
 
1.1%
Dash Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 129
 
11.3%
육 103
 
9.0%
앞 77
 
6.7%
동 65
 
5.7%
부 29
 
2.5%
대 21
 
1.8%
구 21
 
1.8%
장 20
 
1.7%
학 18
 
1.6%
산 18
 
1.6%
Other values (186) 645
56.3%
Decimal Number
ValueCountFrequency (%)
2 14
35.0%
3 8
20.0%
1 7
17.5%
4 4
 
10.0%
7 3
 
7.5%
9 2
 
5.0%
6 1
 
2.5%
5 1
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
T 4
26.7%
P 4
26.7%
A 4
26.7%
K 1
 
6.7%
B 1
 
6.7%
S 1
 
6.7%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1146
87.7%
Common 146
 
11.2%
Latin 15
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 129
 
11.3%
육 103
 
9.0%
앞 77
 
6.7%
동 65
 
5.7%
부 29
 
2.5%
대 21
 
1.8%
구 21
 
1.8%
장 20
 
1.7%
학 18
 
1.6%
산 18
 
1.6%
Other values (186) 645
56.3%
Common
ValueCountFrequency (%)
94
64.4%
2 14
 
9.6%
3 8
 
5.5%
1 7
 
4.8%
- 4
 
2.7%
( 4
 
2.7%
) 4
 
2.7%
4 4
 
2.7%
7 3
 
2.1%
9 2
 
1.4%
Other values (2) 2
 
1.4%
Latin
ValueCountFrequency (%)
T 4
26.7%
P 4
26.7%
A 4
26.7%
K 1
 
6.7%
B 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1145
87.6%
ASCII 161
 
12.3%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 129
 
11.3%
육 103
 
9.0%
앞 77
 
6.7%
동 65
 
5.7%
부 29
 
2.5%
대 21
 
1.8%
구 21
 
1.8%
장 20
 
1.7%
학 18
 
1.6%
산 18
 
1.6%
Other values (185) 644
56.2%
ASCII
ValueCountFrequency (%)
94
58.4%
2 14
 
8.7%
3 8
 
5.0%
1 7
 
4.3%
- 4
 
2.5%
T 4
 
2.5%
( 4
 
2.5%
) 4
 
2.5%
4 4
 
2.5%
P 4
 
2.5%
Other values (8) 14
 
8.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

육교위치
Text

MISSING 

Distinct146
Distinct (%)90.7%
Missing23
Missing (%)12.5%
Memory size1.6 KiB
2023-12-12T15:22:50.805070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length28
Mean length11.73913
Min length1

Characters and Unicode

Total characters1890
Distinct characters232
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)84.5%

Sample

1st row중앙로 시청앞
2nd row동해남부선 거제역 앞
3rd row거제로 거제역 앞
4th row반송로 외환은행 앞
5th row화신중학교앞
ValueCountFrequency (%)
앞 23
 
7.0%
입구 9
 
2.8%
청강리 6
 
1.8%
온천동 5
 
1.5%
동부리 4
 
1.2%
일원 4
 
1.2%
4가 4
 
1.2%
중앙로 4
 
1.2%
도로 3
 
0.9%
안락동 3
 
0.9%
Other values (228) 262
80.1%
2023-12-12T15:22:51.183912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
347
 
18.4%
동 118
 
6.2%
앞 74
 
3.9%
2 63
 
3.3%
1 50
 
2.6%
로 39
 
2.1%
지 38
 
2.0%
부 35
 
1.9%
- 32
 
1.7%
구 31
 
1.6%
Other values (222) 1063
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1222
64.7%
Space Separator 347
 
18.4%
Decimal Number 248
 
13.1%
Dash Punctuation 32
 
1.7%
Uppercase Letter 15
 
0.8%
Math Symbol 10
 
0.5%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 118
 
9.7%
앞 74
 
6.1%
로 39
 
3.2%
지 38
 
3.1%
부 35
 
2.9%
구 31
 
2.5%
번 30
 
2.5%
교 27
 
2.2%
대 27
 
2.2%
리 22
 
1.8%
Other values (201) 781
63.9%
Decimal Number
ValueCountFrequency (%)
2 63
25.4%
1 50
20.2%
3 28
11.3%
4 19
 
7.7%
7 18
 
7.3%
5 18
 
7.3%
6 17
 
6.9%
0 13
 
5.2%
9 13
 
5.2%
8 9
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
T 4
26.7%
P 4
26.7%
A 4
26.7%
B 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%
Space Separator
ValueCountFrequency (%)
347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1222
64.7%
Common 653
34.6%
Latin 15
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 118
 
9.7%
앞 74
 
6.1%
로 39
 
3.2%
지 38
 
3.1%
부 35
 
2.9%
구 31
 
2.5%
번 30
 
2.5%
교 27
 
2.2%
대 27
 
2.2%
리 22
 
1.8%
Other values (201) 781
63.9%
Common
ValueCountFrequency (%)
347
53.1%
2 63
 
9.6%
1 50
 
7.7%
- 32
 
4.9%
3 28
 
4.3%
4 19
 
2.9%
7 18
 
2.8%
5 18
 
2.8%
6 17
 
2.6%
0 13
 
2.0%
Other values (5) 48
 
7.4%
Latin
ValueCountFrequency (%)
T 4
26.7%
P 4
26.7%
A 4
26.7%
B 1
 
6.7%
K 1
 
6.7%
S 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1221
64.6%
ASCII 668
35.3%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
347
51.9%
2 63
 
9.4%
1 50
 
7.5%
- 32
 
4.8%
3 28
 
4.2%
4 19
 
2.8%
7 18
 
2.7%
5 18
 
2.7%
6 17
 
2.5%
0 13
 
1.9%
Other values (11) 63
 
9.4%
Hangul
ValueCountFrequency (%)
동 118
 
9.7%
앞 74
 
6.1%
로 39
 
3.2%
지 38
 
3.1%
부 35
 
2.9%
구 31
 
2.5%
번 30
 
2.5%
교 27
 
2.2%
대 27
 
2.2%
리 22
 
1.8%
Other values (200) 780
63.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

시공청
Categorical

Distinct11
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
80 
31750000
23 
31000000
18 
31250000
16 
31300000
14 
Other values (6)
33 

Length

Max length8
Median length8
Mean length6.0326087
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
43.5%
31750000 23
 
12.5%
31000000 18
 
9.8%
31250000 16
 
8.7%
31300000 14
 
7.6%
31505050 12
 
6.5%
31550000 7
 
3.8%
31050000 6
 
3.3%
6
 
3.3%
31200000 1
 
0.5%

Length

2023-12-12T15:22:51.357616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 80
44.9%
31750000 23
 
12.9%
31000000 18
 
10.1%
31250000 16
 
9.0%
31300000 14
 
7.9%
31505050 12
 
6.7%
31550000 7
 
3.9%
31050000 6
 
3.4%
31200000 1
 
0.6%
31956000 1
 
0.6%

총공사비
Real number (ℝ)

MISSING  ZEROS 

Distinct53
Distinct (%)52.5%
Missing83
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean1.1125597 × 108
Minimum0
Maximum1.535 × 109
Zeros46
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:51.512598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19800000
Q31.3735 × 108
95-th percentile5 × 108
Maximum1.535 × 109
Range1.535 × 109
Interquartile range (IQR)1.3735 × 108

Descriptive statistics

Standard deviation2.1480649 × 108
Coefficient of variation (CV)1.9307413
Kurtosis19.3719
Mean1.1125597 × 108
Median Absolute Deviation (MAD)19800000
Skewness3.7312694
Sum1.1236853 × 1010
Variance4.6141827 × 1016
MonotonicityNot monotonic
2023-12-12T15:22:51.693534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
25.0%
28050000 2
 
1.1%
120000000 2
 
1.1%
70000000 2
 
1.1%
185450000 1
 
0.5%
474000000 1
 
0.5%
290000000 1
 
0.5%
400000000 1
 
0.5%
392089603 1
 
0.5%
65600000 1
 
0.5%
Other values (43) 43
23.4%
(Missing) 83
45.1%
ValueCountFrequency (%)
0 46
25.0%
5853000 1
 
0.5%
13000000 1
 
0.5%
14000000 1
 
0.5%
16750000 1
 
0.5%
19800000 1
 
0.5%
21100000 1
 
0.5%
28050000 2
 
1.1%
28501000 1
 
0.5%
34480000 1
 
0.5%
ValueCountFrequency (%)
1535000000 1
0.5%
714340000 1
0.5%
649838970 1
0.5%
606562000 1
0.5%
537047000 1
0.5%
500000000 1
0.5%
474000000 1
0.5%
473830000 1
0.5%
400000000 1
0.5%
392089603 1
0.5%

종류및형식
Categorical

Distinct8
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
AEA018
72 
<NA>
63 
AEA001
20 
AEA017
10 
AEA019
9 
Other values (3)
10 

Length

Max length6
Median length6
Mean length5.2065217
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st rowAEA018
2nd rowAEA018
3rd rowAEA018
4th rowAEA018
5th rowAEA018

Common Values

ValueCountFrequency (%)
AEA018 72
39.1%
<NA> 63
34.2%
AEA001 20
 
10.9%
AEA017 10
 
5.4%
AEA019 9
 
4.9%
AEA999 5
 
2.7%
4
 
2.2%
AEA000 1
 
0.5%

Length

2023-12-12T15:22:51.863627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:52.024295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
aea018 72
40.0%
na 63
35.0%
aea001 20
 
11.1%
aea017 10
 
5.6%
aea019 9
 
5.0%
aea999 5
 
2.8%
aea000 1
 
0.6%

장애자통과여부
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
불가
112 
<NA>
47 
가
25 

Length

Max length4
Median length2
Mean length2.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가
2nd row불가
3rd row불가
4th row불가
5th row불가

Common Values

ValueCountFrequency (%)
불가 112
60.9%
<NA> 47
25.5%
가 25
 
13.6%

Length

2023-12-12T15:22:52.178045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:52.591393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 112
60.9%
na 47
25.5%
가 25
 
13.6%

차도보도과선구분
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
보도
88 
<NA>
85 
차도
9 
과선
 
2

Length

Max length4
Median length2
Mean length2.923913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보도 88
47.8%
<NA> 85
46.2%
차도 9
 
4.9%
과선 2
 
1.1%

Length

2023-12-12T15:22:52.729292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:52.892826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보도 88
47.8%
na 85
46.2%
차도 9
 
4.9%
과선 2
 
1.1%

앞표지판유무
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유
93 
<NA>
51 
무
40 

Length

Max length4
Median length1
Mean length1.8315217
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유
2nd row무
3rd row유
4th row유
5th row유

Common Values

ValueCountFrequency (%)
유 93
50.5%
<NA> 51
27.7%
무 40
21.7%

Length

2023-12-12T15:22:53.103277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:53.241478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유 93
50.5%
na 51
27.7%
무 40
21.7%

뒷표지판유무
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
유
82 
무
51 
<NA>
51 

Length

Max length4
Median length1
Mean length1.8315217
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유
2nd row무
3rd row유
4th row유
5th row유

Common Values

ValueCountFrequency (%)
유 82
44.6%
무 51
27.7%
<NA> 51
27.7%

Length

2023-12-12T15:22:53.384766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:53.539012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유 82
44.6%
무 51
27.7%
na 51
27.7%

총면적
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)66.7%
Missing148
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean334.17222
Minimum0
Maximum2028.7
Zeros13
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:53.687645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median211.75
Q3475.175
95-th percentile1740.375
Maximum2028.7
Range2028.7
Interquartile range (IQR)475.175

Descriptive statistics

Standard deviation512.77423
Coefficient of variation (CV)1.534461
Kurtosis5.9794511
Mean334.17222
Median Absolute Deviation (MAD)211.75
Skewness2.5094131
Sum12030.2
Variance262937.41
MonotonicityNot monotonic
2023-12-12T15:22:53.893089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 13
 
7.1%
234.0 1
 
0.5%
150.6 1
 
0.5%
1980.9 1
 
0.5%
1660.2 1
 
0.5%
239.4 1
 
0.5%
257.2 1
 
0.5%
130.2 1
 
0.5%
169.5 1
 
0.5%
238.7 1
 
0.5%
Other values (14) 14
 
7.6%
(Missing) 148
80.4%
ValueCountFrequency (%)
0.0 13
7.1%
130.2 1
 
0.5%
150.6 1
 
0.5%
169.5 1
 
0.5%
201.0 1
 
0.5%
211.2 1
 
0.5%
212.3 1
 
0.5%
233.3 1
 
0.5%
234.0 1
 
0.5%
237.7 1
 
0.5%
ValueCountFrequency (%)
2028.7 1
0.5%
1980.9 1
0.5%
1660.2 1
0.5%
543.1 1
0.5%
532.2 1
0.5%
525.2 1
0.5%
485.3 1
0.5%
483.6 1
0.5%
482.6 1
0.5%
472.7 1
0.5%

육교계단연장
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)33.3%
Missing40
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean118.27083
Minimum0
Maximum10643
Zeros12
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:54.070086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median41
Q352
95-th percentile76.85
Maximum10643
Range10643
Interquartile range (IQR)27

Descriptive statistics

Standard deviation886.08436
Coefficient of variation (CV)7.4919939
Kurtosis142.09327
Mean118.27083
Median Absolute Deviation (MAD)12
Skewness11.886071
Sum17031
Variance785145.5
MonotonicityNot monotonic
2023-12-12T15:22:54.244844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
52 14
 
7.6%
0 12
 
6.5%
50 8
 
4.3%
45 8
 
4.3%
26 7
 
3.8%
46 7
 
3.8%
29 6
 
3.3%
25 6
 
3.3%
51 5
 
2.7%
55 5
 
2.7%
Other values (38) 66
35.9%
(Missing) 40
21.7%
ValueCountFrequency (%)
0 12
6.5%
8 1
 
0.5%
12 1
 
0.5%
13 1
 
0.5%
14 4
 
2.2%
15 1
 
0.5%
16 2
 
1.1%
19 3
 
1.6%
22 1
 
0.5%
23 1
 
0.5%
ValueCountFrequency (%)
10643 1
0.5%
806 1
0.5%
345 1
0.5%
92 1
0.5%
91 1
0.5%
85 1
0.5%
80 1
0.5%
77 1
0.5%
76 1
0.5%
73 1
0.5%

육교계단개소
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)31.0%
Missing29
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean45.096774
Minimum0
Maximum263
Zeros16
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:54.465513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median4
Q389.5
95-th percentile155.3
Maximum263
Range263
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation62.989153
Coefficient of variation (CV)1.3967552
Kurtosis-0.07447575
Mean45.096774
Median Absolute Deviation (MAD)2
Skewness1.1390431
Sum6990
Variance3967.6334
MonotonicityNot monotonic
2023-12-12T15:22:54.662467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4 62
33.7%
0 16
 
8.7%
2 10
 
5.4%
6 4
 
2.2%
136 4
 
2.2%
1 4
 
2.2%
152 3
 
1.6%
5 3
 
1.6%
160 2
 
1.1%
83 2
 
1.1%
Other values (38) 45
24.5%
(Missing) 29
15.8%
ValueCountFrequency (%)
0 16
 
8.7%
1 4
 
2.2%
2 10
 
5.4%
4 62
33.7%
5 3
 
1.6%
6 4
 
2.2%
20 1
 
0.5%
21 1
 
0.5%
34 1
 
0.5%
37 1
 
0.5%
ValueCountFrequency (%)
263 1
 
0.5%
205 1
 
0.5%
182 1
 
0.5%
160 2
1.1%
157 2
1.1%
156 1
 
0.5%
155 1
 
0.5%
152 3
1.6%
150 2
1.1%
149 1
 
0.5%

육교총폭
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)14.3%
Missing9
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean4.0714286
Minimum0
Maximum25.7
Zeros6
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:54.822798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median3
Q33.5
95-th percentile10
Maximum25.7
Range25.7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation4.2720269
Coefficient of variation (CV)1.0492698
Kurtosis16.333074
Mean4.0714286
Median Absolute Deviation (MAD)0.3
Skewness4.0469266
Sum712.5
Variance18.250213
MonotonicityNot monotonic
2023-12-12T15:22:55.004333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.0 81
44.0%
3.5 16
 
8.7%
2.5 16
 
8.7%
4.0 10
 
5.4%
3.3 7
 
3.8%
0.0 6
 
3.3%
10.0 5
 
2.7%
2.0 4
 
2.2%
4.5 4
 
2.2%
2.4 3
 
1.6%
Other values (15) 23
 
12.5%
(Missing) 9
 
4.9%
ValueCountFrequency (%)
0.0 6
 
3.3%
2.0 4
 
2.2%
2.2 1
 
0.5%
2.4 3
 
1.6%
2.5 16
 
8.7%
2.6 1
 
0.5%
2.8 1
 
0.5%
2.9 3
 
1.6%
3.0 81
44.0%
3.2 1
 
0.5%
ValueCountFrequency (%)
25.7 1
 
0.5%
25.6 1
 
0.5%
23.6 3
1.6%
23.4 1
 
0.5%
20.2 1
 
0.5%
10.0 5
2.7%
6.0 2
 
1.1%
5.0 1
 
0.5%
4.8 3
1.6%
4.5 4
2.2%

육교계단폭
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)14.1%
Missing21
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean2.2484663
Minimum0
Maximum22.2
Zeros10
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:55.165223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.95
median2
Q32.5
95-th percentile4
Maximum22.2
Range22.2
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation1.766714
Coefficient of variation (CV)0.78574185
Kurtosis101.37225
Mean2.2484663
Median Absolute Deviation (MAD)0.2
Skewness8.9379623
Sum366.5
Variance3.1212785
MonotonicityNot monotonic
2023-12-12T15:22:55.324952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2.0 62
33.7%
2.5 19
 
10.3%
0.0 10
 
5.4%
1.9 10
 
5.4%
4.0 10
 
5.4%
3.0 8
 
4.3%
1.6 7
 
3.8%
2.4 5
 
2.7%
1.8 4
 
2.2%
1.7 4
 
2.2%
Other values (13) 24
 
13.0%
(Missing) 21
 
11.4%
ValueCountFrequency (%)
0.0 10
 
5.4%
1.3 1
 
0.5%
1.4 1
 
0.5%
1.5 4
 
2.2%
1.6 7
 
3.8%
1.7 4
 
2.2%
1.8 4
 
2.2%
1.9 10
 
5.4%
2.0 62
33.7%
2.1 3
 
1.6%
ValueCountFrequency (%)
22.2 1
 
0.5%
4.0 10
5.4%
3.8 1
 
0.5%
3.7 1
 
0.5%
3.2 1
 
0.5%
3.0 8
4.3%
2.9 1
 
0.5%
2.8 2
 
1.1%
2.6 1
 
0.5%
2.5 19
10.3%

육교통과높이
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)12.8%
Missing20
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean4.4530488
Minimum0
Maximum10.7
Zeros17
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:55.501751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median4.8
Q35
95-th percentile5.685
Maximum10.7
Range10.7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.7036022
Coefficient of variation (CV)0.38256986
Kurtosis4.3235972
Mean4.4530488
Median Absolute Deviation (MAD)0.2
Skewness-1.1698979
Sum730.3
Variance2.9022606
MonotonicityNot monotonic
2023-12-12T15:22:55.670832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5.0 63
34.2%
4.5 38
20.7%
0.0 17
 
9.2%
4.8 13
 
7.1%
4.7 11
 
6.0%
4.9 5
 
2.7%
6.0 2
 
1.1%
5.2 2
 
1.1%
4.3 1
 
0.5%
5.7 1
 
0.5%
Other values (11) 11
 
6.0%
(Missing) 20
 
10.9%
ValueCountFrequency (%)
0.0 17
 
9.2%
4.2 1
 
0.5%
4.3 1
 
0.5%
4.4 1
 
0.5%
4.5 38
20.7%
4.6 1
 
0.5%
4.7 11
 
6.0%
4.8 13
 
7.1%
4.9 5
 
2.7%
5.0 63
34.2%
ValueCountFrequency (%)
10.7 1
0.5%
10.3 1
0.5%
8.6 1
0.5%
7.0 1
0.5%
6.5 1
0.5%
6.3 1
0.5%
6.0 2
1.1%
5.7 1
0.5%
5.6 1
0.5%
5.2 2
1.1%

육교상부상판
Categorical

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
117 
RC슬래브교(RCS)
59 
기타
 
6
강박스거더교(STB)
 
1
사장교(CS)
 
1

Length

Max length11
Median length4
Mean length6.2336957
Min length2

Unique

Unique2 ?
Unique (%)1.1%

Sample

1st rowRC슬래브교(RCS)
2nd rowRC슬래브교(RCS)
3rd rowRC슬래브교(RCS)
4th rowRC슬래브교(RCS)
5th rowRC슬래브교(RCS)

Common Values

ValueCountFrequency (%)
<NA> 117
63.6%
RC슬래브교(RCS) 59
32.1%
기타 6
 
3.3%
강박스거더교(STB) 1
 
0.5%
사장교(CS) 1
 
0.5%

Length

2023-12-12T15:22:55.840598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:56.016128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
63.6%
rc슬래브교(rcs 59
32.1%
기타 6
 
3.3%
강박스거더교(stb 1
 
0.5%
사장교(cs 1
 
0.5%

육교상부주형
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
139 
RC슬래브교(RCS)
37 
기타
 
7
강박스거더교(STB)
 
1

Length

Max length11
Median length4
Mean length5.3695652
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st rowRC슬래브교(RCS)
2nd rowRC슬래브교(RCS)
3rd rowRC슬래브교(RCS)
4th rowRC슬래브교(RCS)
5th rowRC슬래브교(RCS)

Common Values

ValueCountFrequency (%)
<NA> 139
75.5%
RC슬래브교(RCS) 37
 
20.1%
기타 7
 
3.8%
강박스거더교(STB) 1
 
0.5%

Length

2023-12-12T15:22:56.192819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:56.332765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 139
75.5%
rc슬래브교(rcs 37
 
20.1%
기타 7
 
3.8%
강박스거더교(stb 1
 
0.5%

육교난간재질
Categorical

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
철재
68 
<NA>
67 
알루미늄합금
28 
스테인레스
11 
기타
8 

Length

Max length9
Median length6
Mean length3.5923913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
철재 68
37.0%
<NA> 67
36.4%
알루미늄합금 28
15.2%
스테인레스 11
 
6.0%
기타 8
 
4.3%
강재(강재파이프) 2
 
1.1%

Length

2023-12-12T15:22:56.513369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:56.680223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철재 68
37.0%
na 67
36.4%
알루미늄합금 28
15.2%
스테인레스 11
 
6.0%
기타 8
 
4.3%
강재(강재파이프 2
 
1.1%

육교난간연장
Real number (ℝ)

MISSING  ZEROS 

Distinct64
Distinct (%)50.0%
Missing56
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean86.84375
Minimum0
Maximum523
Zeros38
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:56.858081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40
Q3139.75
95-th percentile298.85
Maximum523
Range523
Interquartile range (IQR)139.75

Descriptive statistics

Standard deviation103.89125
Coefficient of variation (CV)1.1963009
Kurtosis3.8123386
Mean86.84375
Median Absolute Deviation (MAD)40
Skewness1.7438266
Sum11116
Variance10793.393
MonotonicityNot monotonic
2023-12-12T15:22:57.060093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
20.7%
125 5
 
2.7%
23 4
 
2.2%
16 3
 
1.6%
165 3
 
1.6%
35 3
 
1.6%
139 2
 
1.1%
22 2
 
1.1%
20 2
 
1.1%
27 2
 
1.1%
Other values (54) 64
34.8%
(Missing) 56
30.4%
ValueCountFrequency (%)
0 38
20.7%
14 1
 
0.5%
15 2
 
1.1%
16 3
 
1.6%
17 1
 
0.5%
20 2
 
1.1%
22 2
 
1.1%
23 4
 
2.2%
25 2
 
1.1%
26 2
 
1.1%
ValueCountFrequency (%)
523 1
0.5%
490 1
0.5%
393 1
0.5%
385 1
0.5%
354 1
0.5%
340 1
0.5%
330 1
0.5%
241 1
0.5%
240 1
0.5%
207 1
0.5%

육교난간높이
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.4%
Missing36
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean0.92702703
Minimum0
Maximum10.4
Zeros18
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:57.208190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median1
Q31.1
95-th percentile1.2
Maximum10.4
Range10.4
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.85861735
Coefficient of variation (CV)0.92620531
Kurtosis102.10598
Mean0.92702703
Median Absolute Deviation (MAD)0.15
Skewness9.1110458
Sum137.2
Variance0.73722375
MonotonicityNot monotonic
2023-12-12T15:22:57.343801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.8 38
20.7%
1.0 38
20.7%
1.1 26
14.1%
0.0 18
9.8%
1.2 15
 
8.2%
0.9 10
 
5.4%
1.4 2
 
1.1%
10.4 1
 
0.5%
(Missing) 36
19.6%
ValueCountFrequency (%)
0.0 18
9.8%
0.8 38
20.7%
0.9 10
 
5.4%
1.0 38
20.7%
1.1 26
14.1%
1.2 15
 
8.2%
1.4 2
 
1.1%
10.4 1
 
0.5%
ValueCountFrequency (%)
10.4 1
 
0.5%
1.4 2
 
1.1%
1.2 15
 
8.2%
1.1 26
14.1%
1.0 38
20.7%
0.9 10
 
5.4%
0.8 38
20.7%
0.0 18
9.8%

육교경간길이
Categorical

IMBALANCE 

Distinct6
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
113 
0
60 
33
 
7
1
 
2
2
 
1

Length

Max length4
Median length4
Mean length2.8858696
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 113
61.4%
0 60
32.6%
33 7
 
3.8%
1 2
 
1.1%
2 1
 
0.5%
22 1
 
0.5%

Length

2023-12-12T15:22:57.502578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:22:57.631652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
61.4%
0 60
32.6%
33 7
 
3.8%
1 2
 
1.1%
2 1
 
0.5%
22 1
 
0.5%

육교실측높이
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)20.4%
Missing86
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean3.9867347
Minimum0
Maximum8.8
Zeros24
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:57.748009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.275
median5
Q35.275
95-th percentile6
Maximum8.8
Range8.8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.3571623
Coefficient of variation (CV)0.59125135
Kurtosis-0.58263358
Mean3.9867347
Median Absolute Deviation (MAD)0.5
Skewness-0.94459505
Sum390.7
Variance5.556214
MonotonicityNot monotonic
2023-12-12T15:22:57.889667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 24
 
13.0%
5.0 14
 
7.6%
5.2 10
 
5.4%
6.0 7
 
3.8%
5.1 6
 
3.3%
4.8 6
 
3.3%
4.5 5
 
2.7%
5.5 5
 
2.7%
4.7 4
 
2.2%
4.9 3
 
1.6%
Other values (10) 14
 
7.6%
(Missing) 86
46.7%
ValueCountFrequency (%)
0.0 24
13.0%
4.2 1
 
0.5%
4.5 5
 
2.7%
4.7 4
 
2.2%
4.8 6
 
3.3%
4.9 3
 
1.6%
5.0 14
7.6%
5.1 6
 
3.3%
5.2 10
5.4%
5.3 2
 
1.1%
ValueCountFrequency (%)
8.8 1
 
0.5%
7.3 1
 
0.5%
6.8 1
 
0.5%
6.3 1
 
0.5%
6.0 7
3.8%
5.9 2
 
1.1%
5.8 1
 
0.5%
5.6 3
1.6%
5.5 5
2.7%
5.4 1
 
0.5%

상판연장
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)43.9%
Missing20
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean36.621341
Minimum0
Maximum382
Zeros12
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T15:22:58.042663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median29
Q336
95-th percentile88.89
Maximum382
Range382
Interquartile range (IQR)13

Descriptive statistics

Standard deviation35.777401
Coefficient of variation (CV)0.97695496
Kurtosis53.062885
Mean36.621341
Median Absolute Deviation (MAD)6.5
Skewness5.9176697
Sum6005.9
Variance1280.0224
MonotonicityNot monotonic
2023-12-12T15:22:58.231442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
6.5%
26.0 10
 
5.4%
30.0 10
 
5.4%
25.0 7
 
3.8%
24.0 6
 
3.3%
19.0 6
 
3.3%
27.0 6
 
3.3%
29.0 6
 
3.3%
34.0 5
 
2.7%
35.0 5
 
2.7%
Other values (62) 91
49.5%
(Missing) 20
 
10.9%
ValueCountFrequency (%)
0.0 12
6.5%
10.0 1
 
0.5%
13.0 1
 
0.5%
15.0 1
 
0.5%
18.0 3
 
1.6%
18.6 1
 
0.5%
19.0 6
3.3%
19.6 1
 
0.5%
20.0 1
 
0.5%
21.0 5
2.7%
ValueCountFrequency (%)
382.0 1
0.5%
113.0 1
0.5%
110.0 1
0.5%
103.6 1
0.5%
99.4 1
0.5%
98.9 1
0.5%
97.1 1
0.5%
92.1 1
0.5%
89.1 1
0.5%
87.7 1
0.5%

Sample

지형지물명일련번호등록구도로구간명행정동관리기관육교명육교위치시공청총공사비종류및형식장애자통과여부차도보도과선구분앞표지판유무뒷표지판유무총면적육교계단연장육교계단개소육교총폭육교계단폭육교통과높이육교상부상판육교상부주형육교난간재질육교난간연장육교난간높이육교경간길이육교실측높이상판연장
0육교5연제구구덕로, 중앙로,금정로연산1동연제구연산동 시청앞중앙로 시청앞<NA>537047000AEA018가보도유유<NA>3343.22.54.9RC슬래브교(RCS)RC슬래브교(RCS)철재250.8<NA>4.930.6
1육교4연제구해맞이로거제4동연제구거제동 철길동해남부선 거제역 앞<NA><NA>AEA018불가과선무무<NA>2522.92.96.0RC슬래브교(RCS)RC슬래브교(RCS)알루미늄합금900.8<NA>6.330.0
2육교3연제구충장로, 전포로,거제로<NA>연제구거제역 앞거제로 거제역 앞<NA>137350000AEA018불가보도유유<NA>7363.02.54.4RC슬래브교(RCS)RC슬래브교(RCS)철재3300.8<NA>4.784.0
3육교2연제구<NA>연산1동연제구연산동 외환은행 앞반송로 외환은행 앞<NA>38890000AEA018불가보도유유<NA>5242.92.04.9RC슬래브교(RCS)RC슬래브교(RCS)철재160.8<NA>5.119.6
4육교9북구대영로, 낙동로,금곡로화명2동북구화신중학교앞화신중학교앞<NA><NA>AEA018불가<NA>유유<NA><NA><NA>3.01.45.0RC슬래브교(RCS)RC슬래브교(RCS)<NA><NA><NA><NA><NA>26.0
5육교10북구용수로화명3동북구북부경찰서북부경찰서<NA><NA>AEA018불가<NA>유유<NA><NA><NA>3.01.7<NA>RC슬래브교(RCS)RC슬래브교(RCS)<NA><NA><NA><NA><NA>18.0
6육교8북구대영로, 낙동로,금곡로화명1동북구화명육교화명육교<NA><NA>AEA018불가<NA>유유<NA><NA><NA>3.02.05.0RC슬래브교(RCS)RC슬래브교(RCS)<NA><NA><NA><NA><NA>36.0
7육교20북구구포만세거리구포2동북구구포역내<NA><NA><NA>AEA018불가<NA><NA><NA><NA><NA><NA>3.83.8<NA>RC슬래브교(RCS)RC슬래브교(RCS)<NA><NA><NA><NA><NA>60.0
8육교2동래구구덕로, 중앙로,금정로온천1동동래구 도시국 건설과온천동 지하철역앞온천동 지하철역앞3130000034480000AEA018불가보도유유<NA>4442.52.04.5<NA><NA>철재<NA>0.8<NA>4.729.0
9육교3동래구구덕로, 중앙로,금정로온천1동동래구 도시국 건설과온천동 녹십자병원앞온천동 녹십자병원앞31300000205000000AEA018불가보도유유<NA>4642.52.54.5<NA><NA>알루미늄합금<NA>0.9<NA>5.230.0
지형지물명일련번호등록구도로구간명행정동관리기관육교명육교위치시공청총공사비종류및형식장애자통과여부차도보도과선구분앞표지판유무뒷표지판유무총면적육교계단연장육교계단개소육교총폭육교계단폭육교통과높이육교상부상판육교상부주형육교난간재질육교난간연장육교난간높이육교경간길이육교실측높이상판연장
174육교1100기장군<NA>정관읍기장군<NA>국지60호선 추모공원진입로<NA>0AEA018가차도유유<NA>8214.03.74.8<NA><NA>기타60<NA>0<NA>44.0
175육교114해운대구태평1길<NA><NA>재송1동 1199<NA><NA>AEA018<NA><NA><NA><NA>238.7<NA>23.32.30.0RC슬래브교(RCS)RC슬래브교(RCS)철재00.000.0<NA>
176육교115해운대구센텀 남북1로<NA><NA>재송1동 1199<NA><NA>AEA018<NA><NA><NA><NA>169.5<NA>13.42.50.0RC슬래브교(RCS)RC슬래브교(RCS)철재00.000.0<NA>
177육교116해운대구센텀 남북2로<NA><NA>재송1동 1199<NA><NA>AEA018<NA><NA><NA><NA>130.2<NA>13.52.40.0RC슬래브교(RCS)RC슬래브교(RCS)철재00.000.0<NA>
178육교10중구<NA>중앙동중구<NA><NA><NA>0<NA><NA><NA><NA><NA>0.0000.00.00.0<NA><NA><NA>00.000.00.0
179육교11중구<NA>중앙동중구<NA><NA><NA>0<NA><NA><NA><NA><NA>0.0000.00.00.0<NA><NA><NA>00.000.00.0
180육교190001강서구<NA>명지동<NA>0AEA999불가차도무무257.21404.54.00.0기타기타기타00.00<NA>0.0
181육교190002강서구<NA>명지동<NA>0AEA999불가차도무무239.41404.54.00.0기타기타기타00.00<NA>0.0
182육교75북구<NA>구포1동북구금빛노을브릿지부산광역시 북구 구포동 166번지~낙동강 화명생태공원 간31956000187000000AEA018가과선무무1660.2003.01.50.0사장교(CS)기타알루미늄합금01.200.0382.0
183육교15동구<NA>초량3동부산항만공사부산항하늘광장동구 초량3동0AEA018가차도무무1980.945225.722.20.0기타기타기타450.000.00.0

Duplicate rows

Most frequently occurring

지형지물명일련번호등록구도로구간명행정동관리기관육교명육교위치시공청총공사비종류및형식장애자통과여부차도보도과선구분앞표지판유무뒷표지판유무총면적육교계단연장육교계단개소육교총폭육교계단폭육교통과높이육교상부상판육교상부주형육교난간재질육교난간연장육교난간높이육교경간길이육교실측높이상판연장# duplicates
0육교1기장군월내3길장안읍<NA>동해남부선위육교월내리 207-1번지<NA><NA><NA>불가보도무무<NA>4042.52.04.5<NA><NA><NA>230.8<NA><NA>27.02
1육교2기장군좌동로,해운로, 기장대로일광면<NA>일광초등학교앞육교화전리 269번지<NA><NA><NA>불가보도유무<NA>1624.02.34.5<NA><NA><NA>270.8<NA><NA>32.02
2육교3기장군반송로기장읍<NA>동부리 427-2번지 육교동부리 427-2번지<NA><NA><NA>불가보도무무<NA>2444.01.74.5<NA><NA><NA>200.8<NA><NA>24.02
3육교4기장군기장중앙로기장읍<NA>기장스포츠앞육교동부리 124번지<NA><NA><NA>불가보도무무<NA>2543.01.54.5<NA><NA><NA>160.8<NA><NA>19.02
4육교5기장군좌동로,해운로, 기장대로기장읍<NA>기장군청앞육교청강리 기장군청 앞 큰 도로<NA><NA><NA>불가보도무무<NA>2643.01.94.5<NA><NA><NA>230.8<NA><NA>27.02
5육교6기장군좌동로,해운로, 기장대로기장읍<NA>청강리 293-3번지 육교청강리 293-3번지<NA><NA><NA>불가보도유무<NA>2643.01.94.5<NA><NA><NA>220.8<NA><NA>26.02
6육교7기장군덕발길기장읍<NA>동해남부선위육교청강리 705-번지<NA><NA><NA>불가보도무무<NA>3743.02.04.5<NA><NA><NA>150.8<NA><NA>19.02