Overview

Dataset statistics

Number of variables25
Number of observations194
Missing cells561
Missing cells (%)11.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.9 KiB
Average record size in memory210.7 B

Variable types

Text5
Categorical9
Numeric10
Boolean1

Dataset

Description대구광역시_교량제원 현황_20200331
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15042993&dataSetDetailId=150429931e2f22f9d5278&provdMethod=FILE

Alerts

교량종점위치_시도 is highly imbalanced (91.7%)Imbalance
교량종점위치_상세 is highly imbalanced (60.1%)Imbalance
허용통행하중 has 86 (44.3%) missing valuesMissing
연장_경간수 has 11 (5.7%) missing valuesMissing
연장_최대경간장 has 13 (6.7%) missing valuesMissing
폭_보도 has 111 (57.2%) missing valuesMissing
폭_차도 has 104 (53.6%) missing valuesMissing
폭_계 has 2 (1.0%) missing valuesMissing
차로수_상행 has 18 (9.3%) missing valuesMissing
차로수_하행 has 17 (8.8%) missing valuesMissing
차로수_계 has 16 (8.2%) missing valuesMissing
내진설계적용여부 has 40 (20.6%) missing valuesMissing
상부구조_경간구성 has 5 (2.6%) missing valuesMissing
상부구조_하부통과제한높이 has 137 (70.6%) missing valuesMissing
시설물명 has unique valuesUnique
폭_보도 has 42 (21.6%) zerosZeros
차로수_상행 has 9 (4.6%) zerosZeros
차로수_하행 has 15 (7.7%) zerosZeros

Reproduction

Analysis started2024-04-17 19:33:11.504040
Analysis finished2024-04-17 19:33:11.844825
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물번호
Text

Distinct193
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-18T04:33:11.964590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters2522
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)99.0%

Sample

1st rowDBR2013-00143
2nd rowDBR2013-00144
3rd rowDBR2013-00145
4th rowDBR1988-00013
5th rowDBR1999-00063
ValueCountFrequency (%)
dbr2003-00089 2
 
1.0%
dbr2013-00143 1
 
0.5%
dbr2010-00126 1
 
0.5%
dbr1998-00057 1
 
0.5%
dbr1999-00072 1
 
0.5%
dbr1997-00049 1
 
0.5%
dbr1997-00050 1
 
0.5%
dbr2002-00086 1
 
0.5%
dbr2003-00091 1
 
0.5%
dbr2009-00114 1
 
0.5%
Other values (183) 183
94.3%
2024-04-18T04:33:12.241668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 708
28.1%
1 309
12.3%
D 194
 
7.7%
B 194
 
7.7%
R 194
 
7.7%
- 194
 
7.7%
9 190
 
7.5%
2 169
 
6.7%
3 86
 
3.4%
4 68
 
2.7%
Other values (4) 216
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1746
69.2%
Uppercase Letter 582
 
23.1%
Dash Punctuation 194
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 708
40.5%
1 309
17.7%
9 190
 
10.9%
2 169
 
9.7%
3 86
 
4.9%
4 68
 
3.9%
8 66
 
3.8%
7 56
 
3.2%
6 50
 
2.9%
5 44
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
D 194
33.3%
B 194
33.3%
R 194
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1940
76.9%
Latin 582
 
23.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 708
36.5%
1 309
15.9%
- 194
 
10.0%
9 190
 
9.8%
2 169
 
8.7%
3 86
 
4.4%
4 68
 
3.5%
8 66
 
3.4%
7 56
 
2.9%
6 50
 
2.6%
Latin
ValueCountFrequency (%)
D 194
33.3%
B 194
33.3%
R 194
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2522
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 708
28.1%
1 309
12.3%
D 194
 
7.7%
B 194
 
7.7%
R 194
 
7.7%
- 194
 
7.7%
9 190
 
7.5%
2 169
 
6.7%
3 86
 
3.4%
4 68
 
2.7%
Other values (4) 216
 
8.6%

시설물명
Text

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-18T04:33:12.415935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length5.6134021
Min length3

Characters and Unicode

Total characters1089
Distinct characters166
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)100.0%

Sample

1st rowRAMP-B교
2nd rowRAMP-C1교
3rd rowRAMP-E교
4th row가창교(구)
5th row가창교(신)
ValueCountFrequency (%)
성서ic 3
 
1.5%
율하천 2
 
1.0%
왕산교 1
 
0.5%
와룡대교 1
 
0.5%
안심고가교 1
 
0.5%
안심교 1
 
0.5%
안지랭이고가교(공단 1
 
0.5%
앞산고가교(공단 1
 
0.5%
연지교 1
 
0.5%
연호고가교 1
 
0.5%
Other values (186) 186
93.5%
2024-04-18T04:33:12.694887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 200
 
18.4%
( 64
 
5.9%
) 64
 
5.9%
공 48
 
4.4%
단 46
 
4.2%
천 29
 
2.7%
1 26
 
2.4%
가 24
 
2.2%
수 23
 
2.1%
고 22
 
2.0%
Other values (156) 543
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 861
79.1%
Open Punctuation 64
 
5.9%
Close Punctuation 64
 
5.9%
Decimal Number 56
 
5.1%
Uppercase Letter 33
 
3.0%
Space Separator 5
 
0.5%
Dash Punctuation 3
 
0.3%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 200
23.2%
공 48
 
5.6%
단 46
 
5.3%
천 29
 
3.4%
가 24
 
2.8%
수 23
 
2.7%
고 22
 
2.6%
대 20
 
2.3%
동 18
 
2.1%
방 14
 
1.6%
Other values (134) 417
48.4%
Uppercase Letter
ValueCountFrequency (%)
C 9
27.3%
I 8
24.2%
R 4
12.1%
A 3
 
9.1%
P 3
 
9.1%
M 3
 
9.1%
B 2
 
6.1%
E 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 26
46.4%
2 19
33.9%
3 6
 
10.7%
4 2
 
3.6%
5 1
 
1.8%
8 1
 
1.8%
7 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 861
79.1%
Common 192
 
17.6%
Latin 36
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 200
23.2%
공 48
 
5.6%
단 46
 
5.3%
천 29
 
3.4%
가 24
 
2.8%
수 23
 
2.7%
고 22
 
2.6%
대 20
 
2.3%
동 18
 
2.1%
방 14
 
1.6%
Other values (134) 417
48.4%
Common
ValueCountFrequency (%)
( 64
33.3%
) 64
33.3%
1 26
13.5%
2 19
 
9.9%
3 6
 
3.1%
5
 
2.6%
- 3
 
1.6%
4 2
 
1.0%
5 1
 
0.5%
8 1
 
0.5%
Latin
ValueCountFrequency (%)
C 9
25.0%
I 8
22.2%
R 4
11.1%
A 3
 
8.3%
P 3
 
8.3%
M 3
 
8.3%
B 2
 
5.6%
a 1
 
2.8%
m 1
 
2.8%
p 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 861
79.1%
ASCII 228
 
20.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 200
23.2%
공 48
 
5.6%
단 46
 
5.3%
천 29
 
3.4%
가 24
 
2.8%
수 23
 
2.7%
고 22
 
2.6%
대 20
 
2.3%
동 18
 
2.1%
방 14
 
1.6%
Other values (134) 417
48.4%
ASCII
ValueCountFrequency (%)
( 64
28.1%
) 64
28.1%
1 26
11.4%
2 19
 
8.3%
C 9
 
3.9%
I 8
 
3.5%
3 6
 
2.6%
5
 
2.2%
R 4
 
1.8%
A 3
 
1.3%
Other values (12) 20
 
8.8%

교량종점위치_시도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
대구광역시
192 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9896907
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 192
99.0%
<NA> 2
 
1.0%

Length

2024-04-18T04:33:12.796618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:33:12.867830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 192
99.0%
na 2
 
1.0%

교량종점위치_시군구
Categorical

Distinct10
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
동구
54 
달성군
42 
북구
33 
수성구
25 
달서구
17 
Other values (5)
23 

Length

Max length3
Median length2
Mean length2.4329897
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row수성구
2nd row수성구
3rd row수성구
4th row달성군
5th row달성군

Common Values

ValueCountFrequency (%)
동구 54
27.8%
달성군 42
21.6%
북구 33
17.0%
수성구 25
12.9%
달서구 17
 
8.8%
남구 10
 
5.2%
서구 9
 
4.6%
- 2
 
1.0%
가창면 1
 
0.5%
상인동 1
 
0.5%

Length

2024-04-18T04:33:12.956726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:33:13.062707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 54
27.8%
달성군 42
21.6%
북구 33
17.0%
수성구 25
12.9%
달서구 17
 
8.8%
남구 10
 
5.2%
서구 9
 
4.6%
2
 
1.0%
가창면 1
 
0.5%
상인동 1
 
0.5%

교량종점위치_읍면동리
Text

Distinct81
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-18T04:33:13.283629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.1030928
Min length1

Characters and Unicode

Total characters602
Distinct characters101
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

Unique38 ?
Unique (%)19.6%

Sample

1st row파동
2nd row파동
3rd row파동
4th row가창면
5th row가창면
ValueCountFrequency (%)
유가면 14
 
7.2%
화원읍 8
 
4.1%
파동 7
 
3.6%
가창면 7
 
3.6%
율하동 6
 
3.1%
장기동 6
 
3.1%
각산동 6
 
3.1%
옥포면 6
 
3.1%
태전동 5
 
2.6%
비산동 5
 
2.6%
Other values (71) 124
63.9%
2024-04-18T04:33:13.590198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 156
25.9%
면 34
 
5.6%
산 26
 
4.3%
가 23
 
3.8%
유 14
 
2.3%
천 12
 
2.0%
읍 10
 
1.7%
하 9
 
1.5%
장 9
 
1.5%
서 9
 
1.5%
Other values (91) 300
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
96.2%
Decimal Number 14
 
2.3%
Other Punctuation 3
 
0.5%
Math Symbol 2
 
0.3%
Dash Punctuation 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 156
26.9%
면 34
 
5.9%
산 26
 
4.5%
가 23
 
4.0%
유 14
 
2.4%
천 12
 
2.1%
읍 10
 
1.7%
하 9
 
1.6%
장 9
 
1.6%
서 9
 
1.6%
Other values (81) 277
47.8%
Decimal Number
ValueCountFrequency (%)
2 7
50.0%
1 3
21.4%
7 3
21.4%
4 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 579
96.2%
Common 23
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 156
26.9%
면 34
 
5.9%
산 26
 
4.5%
가 23
 
4.0%
유 14
 
2.4%
천 12
 
2.1%
읍 10
 
1.7%
하 9
 
1.6%
장 9
 
1.6%
서 9
 
1.6%
Other values (81) 277
47.8%
Common
ValueCountFrequency (%)
2 7
30.4%
1 3
13.0%
7 3
13.0%
~ 2
 
8.7%
, 2
 
8.7%
- 2
 
8.7%
4 1
 
4.3%
) 1
 
4.3%
( 1
 
4.3%
. 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
96.2%
ASCII 23
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 156
26.9%
면 34
 
5.9%
산 26
 
4.5%
가 23
 
4.0%
유 14
 
2.4%
천 12
 
2.1%
읍 10
 
1.7%
하 9
 
1.6%
장 9
 
1.6%
서 9
 
1.6%
Other values (81) 277
47.8%
ASCII
ValueCountFrequency (%)
2 7
30.4%
1 3
13.0%
7 3
13.0%
~ 2
 
8.7%
, 2
 
8.7%
- 2
 
8.7%
4 1
 
4.3%
) 1
 
4.3%
( 1
 
4.3%
. 1
 
4.3%

교량종점위치_상세
Categorical

IMBALANCE 

Distinct36
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
-
145 
상리
 
5
용계리
 
4
하산리
 
2
본리
 
2
Other values (31)
36 

Length

Max length16
Median length1
Mean length1.7061856
Min length1

Unique

Unique26 ?
Unique (%)13.4%

Sample

1st row-
2nd row-
3rd row-
4th row용계리
5th row용계리

Common Values

ValueCountFrequency (%)
- 145
74.7%
상리 5
 
2.6%
용계리 4
 
2.1%
하산리 2
 
1.0%
본리 2
 
1.0%
명곡리 2
 
1.0%
기세리 2
 
1.0%
김흥리 2
 
1.0%
봉리 2
 
1.0%
평촌리 2
 
1.0%
Other values (26) 26
 
13.4%

Length

2024-04-18T04:33:13.706295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
145
72.5%
상리 5
 
2.5%
용계리 4
 
2.0%
하산리 2
 
1.0%
본리 2
 
1.0%
명곡리 2
 
1.0%
기세리 2
 
1.0%
김흥리 2
 
1.0%
봉리 2
 
1.0%
평촌리 2
 
1.0%
Other values (30) 32
 
16.0%

설계활하중
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
DB-24/DL-24
118 
DB-24
71 
DB-18
 
5

Length

Max length11
Median length11
Mean length8.6494845
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDB-24/DL-24
2nd rowDB-24/DL-24
3rd rowDB-24/DL-24
4th rowDB-18
5th rowDB-24/DL-24

Common Values

ValueCountFrequency (%)
DB-24/DL-24 118
60.8%
DB-24 71
36.6%
DB-18 5
 
2.6%

Length

2024-04-18T04:33:13.805567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:33:13.886528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
db-24/dl-24 118
60.8%
db-24 71
36.6%
db-18 5
 
2.6%

허용통행하중
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)6.5%
Missing86
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean86.422222
Minimum25
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:13.954015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile43.2
Q143.2
median43.2
Q343.2
95-th percentile43.2
Maximum2400
Range2375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation319.28488
Coefficient of variation (CV)3.6944767
Kurtosis51.417878
Mean86.422222
Median Absolute Deviation (MAD)0
Skewness7.2431112
Sum9333.6
Variance101942.84
MonotonicityNot monotonic
2024-04-18T04:33:14.031008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
43.2 101
52.1%
2400.0 2
 
1.0%
25.0 1
 
0.5%
40.0 1
 
0.5%
30.0 1
 
0.5%
43.0 1
 
0.5%
32.4 1
 
0.5%
(Missing) 86
44.3%
ValueCountFrequency (%)
25.0 1
 
0.5%
30.0 1
 
0.5%
32.4 1
 
0.5%
40.0 1
 
0.5%
43.0 1
 
0.5%
43.2 101
52.1%
2400.0 2
 
1.0%
ValueCountFrequency (%)
2400.0 2
 
1.0%
43.2 101
52.1%
43.0 1
 
0.5%
40.0 1
 
0.5%
32.4 1
 
0.5%
30.0 1
 
0.5%
25.0 1
 
0.5%

연장_길이
Real number (ℝ)

Distinct122
Distinct (%)63.2%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean153.14093
Minimum2
Maximum1651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:14.121440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11
Q135
median80
Q3170
95-th percentile522.2
Maximum1651
Range1649
Interquartile range (IQR)135

Descriptive statistics

Standard deviation212.96384
Coefficient of variation (CV)1.3906396
Kurtosis15.428267
Mean153.14093
Median Absolute Deviation (MAD)58
Skewness3.3181788
Sum29556.2
Variance45353.598
MonotonicityNot monotonic
2024-04-18T04:33:14.223247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120.0 7
 
3.6%
15.0 6
 
3.1%
60.0 5
 
2.6%
90.0 5
 
2.6%
80.0 4
 
2.1%
12.0 4
 
2.1%
10.0 4
 
2.1%
180.0 4
 
2.1%
20.0 4
 
2.1%
30.0 3
 
1.5%
Other values (112) 147
75.8%
ValueCountFrequency (%)
2.0 1
 
0.5%
5.0 2
1.0%
8.0 1
 
0.5%
8.9 1
 
0.5%
10.0 4
2.1%
11.0 2
1.0%
12.0 4
2.1%
12.2 1
 
0.5%
12.5 1
 
0.5%
13.0 2
1.0%
ValueCountFrequency (%)
1651.0 1
0.5%
1120.0 1
0.5%
878.5 1
0.5%
847.5 1
0.5%
795.0 1
0.5%
792.5 1
0.5%
690.0 1
0.5%
640.0 1
0.5%
570.0 1
0.5%
545.0 1
0.5%

연장_경간수
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)9.8%
Missing11
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean4.9234973
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:14.318923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile14
Maximum37
Range36
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.025719
Coefficient of variation (CV)1.020762
Kurtosis11.295638
Mean4.9234973
Median Absolute Deviation (MAD)2
Skewness2.7645539
Sum901
Variance25.257851
MonotonicityNot monotonic
2024-04-18T04:33:14.631190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 44
22.7%
3 41
21.1%
2 17
 
8.8%
5 14
 
7.2%
4 14
 
7.2%
7 10
 
5.2%
6 8
 
4.1%
11 7
 
3.6%
14 7
 
3.6%
8 7
 
3.6%
Other values (8) 14
 
7.2%
(Missing) 11
 
5.7%
ValueCountFrequency (%)
1 44
22.7%
2 17
 
8.8%
3 41
21.1%
4 14
 
7.2%
5 14
 
7.2%
6 8
 
4.1%
7 10
 
5.2%
8 7
 
3.6%
9 3
 
1.5%
10 3
 
1.5%
ValueCountFrequency (%)
37 1
 
0.5%
26 2
 
1.0%
19 1
 
0.5%
17 1
 
0.5%
15 2
 
1.0%
14 7
3.6%
13 1
 
0.5%
11 7
3.6%
10 3
1.5%
9 3
1.5%

연장_최대경간장
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)38.7%
Missing13
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean33.214365
Minimum5
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:14.732919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.4
Q115.4
median28.9
Q350
95-th percentile60
Maximum164
Range159
Interquartile range (IQR)34.6

Descriptive statistics

Standard deviation22.409264
Coefficient of variation (CV)0.67468592
Kurtosis7.5244384
Mean33.214365
Median Absolute Deviation (MAD)13.9
Skewness1.9271731
Sum6011.8
Variance502.17513
MonotonicityNot monotonic
2024-04-18T04:33:14.840950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 14
 
7.2%
15.0 13
 
6.7%
40.0 12
 
6.2%
50.0 10
 
5.2%
45.0 7
 
3.6%
55.0 7
 
3.6%
20.0 6
 
3.1%
16.0 6
 
3.1%
22.0 6
 
3.1%
35.0 6
 
3.1%
Other values (60) 94
48.5%
(Missing) 13
 
6.7%
ValueCountFrequency (%)
5.0 4
2.1%
6.6 1
 
0.5%
7.0 1
 
0.5%
8.0 2
1.0%
9.0 1
 
0.5%
9.4 1
 
0.5%
10.0 4
2.1%
11.0 2
1.0%
12.0 4
2.1%
12.2 1
 
0.5%
ValueCountFrequency (%)
164.0 1
 
0.5%
125.0 2
 
1.0%
66.5 1
 
0.5%
65.0 4
 
2.1%
63.0 1
 
0.5%
60.0 14
7.2%
59.5 1
 
0.5%
57.5 1
 
0.5%
55.0 7
3.6%
52.0 1
 
0.5%

폭_보도
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)30.1%
Missing111
Missing (%)57.2%
Infinite0
Infinite (%)0.0%
Mean3.5409639
Minimum0
Maximum30
Zeros42
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:14.941021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.8
95-th percentile10
Maximum30
Range30
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation4.8833474
Coefficient of variation (CV)1.3791012
Kurtosis8.9779458
Mean3.5409639
Median Absolute Deviation (MAD)0
Skewness2.2429237
Sum293.9
Variance23.847082
MonotonicityNot monotonic
2024-04-18T04:33:15.056680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 42
 
21.6%
10.0 6
 
3.1%
8.0 5
 
2.6%
2.5 4
 
2.1%
9.0 3
 
1.5%
11.8 2
 
1.0%
4.0 2
 
1.0%
6.8 2
 
1.0%
3.8 1
 
0.5%
3.5 1
 
0.5%
Other values (15) 15
 
7.7%
(Missing) 111
57.2%
ValueCountFrequency (%)
0.0 42
21.6%
0.9 1
 
0.5%
2.0 1
 
0.5%
2.5 4
 
2.1%
2.6 1
 
0.5%
3.0 1
 
0.5%
3.5 1
 
0.5%
3.8 1
 
0.5%
4.0 2
 
1.0%
4.6 1
 
0.5%
ValueCountFrequency (%)
30.0 1
 
0.5%
11.8 2
 
1.0%
10.0 6
3.1%
9.6 1
 
0.5%
9.0 3
1.5%
8.9 1
 
0.5%
8.0 5
2.6%
7.5 1
 
0.5%
6.8 2
 
1.0%
6.5 1
 
0.5%

폭_차도
Text

MISSING 

Distinct51
Distinct (%)56.7%
Missing104
Missing (%)53.6%
Memory size1.6 KiB
2024-04-18T04:33:15.226804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.6666667
Min length1

Characters and Unicode

Total characters240
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)40.0%

Sample

1st row5.8
2nd row5.8
3rd row5.8
4th row21
5th row27.5
ValueCountFrequency (%)
21 9
 
10.0%
10.5 6
 
6.7%
22 5
 
5.6%
16 4
 
4.4%
20 4
 
4.4%
25 3
 
3.3%
13.5 3
 
3.3%
26 3
 
3.3%
19 3
 
3.3%
17 3
 
3.3%
Other values (41) 47
52.2%
2024-04-18T04:33:15.499545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 45
18.8%
1 42
17.5%
. 38
15.8%
5 35
14.6%
0 17
 
7.1%
3 14
 
5.8%
6 13
 
5.4%
4 11
 
4.6%
9 9
 
3.8%
8 8
 
3.3%
Other values (2) 8
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
83.8%
Other Punctuation 38
 
15.8%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 45
22.4%
1 42
20.9%
5 35
17.4%
0 17
 
8.5%
3 14
 
7.0%
6 13
 
6.5%
4 11
 
5.5%
9 9
 
4.5%
8 8
 
4.0%
7 7
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 45
18.8%
1 42
17.5%
. 38
15.8%
5 35
14.6%
0 17
 
7.1%
3 14
 
5.8%
6 13
 
5.4%
4 11
 
4.6%
9 9
 
3.8%
8 8
 
3.3%
Other values (2) 8
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 45
18.8%
1 42
17.5%
. 38
15.8%
5 35
14.6%
0 17
 
7.1%
3 14
 
5.8%
6 13
 
5.4%
4 11
 
4.6%
9 9
 
3.8%
8 8
 
3.3%
Other values (2) 8
 
3.3%

폭_계
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)44.8%
Missing2
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean26.04375
Minimum4
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:15.605927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.955
Q118.5
median25.25
Q332.5
95-th percentile50
Maximum71
Range67
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.791503
Coefficient of variation (CV)0.45275749
Kurtosis0.6429568
Mean26.04375
Median Absolute Deviation (MAD)7.15
Skewness0.65506972
Sum5000.4
Variance139.03954
MonotonicityNot monotonic
2024-04-18T04:33:15.716322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 20
 
10.3%
20.0 17
 
8.8%
35.0 10
 
5.2%
10.5 7
 
3.6%
21.0 7
 
3.6%
16.0 7
 
3.6%
25.0 5
 
2.6%
50.0 5
 
2.6%
36.0 4
 
2.1%
5.8 3
 
1.5%
Other values (76) 107
55.2%
ValueCountFrequency (%)
4.0 1
 
0.5%
5.8 3
1.5%
6.9 1
 
0.5%
7.0 1
 
0.5%
7.5 1
 
0.5%
8.0 1
 
0.5%
8.6 1
 
0.5%
8.9 1
 
0.5%
9.0 1
 
0.5%
10.0 2
1.0%
ValueCountFrequency (%)
71.0 1
 
0.5%
58.2 1
 
0.5%
54.0 1
 
0.5%
52.0 1
 
0.5%
51.5 1
 
0.5%
51.0 3
1.5%
50.0 5
2.6%
49.1 1
 
0.5%
47.0 1
 
0.5%
45.8 1
 
0.5%

차로수_상행
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.5%
Missing18
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean2.7556818
Minimum0
Maximum35
Zeros9
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:15.799085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q12
median3
Q33
95-th percentile5
Maximum35
Range35
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.7071274
Coefficient of variation (CV)0.98238027
Kurtosis116.106
Mean2.7556818
Median Absolute Deviation (MAD)1
Skewness9.7504248
Sum485
Variance7.328539
MonotonicityNot monotonic
2024-04-18T04:33:15.885144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 65
33.5%
3 62
32.0%
4 16
 
8.2%
1 12
 
6.2%
0 9
 
4.6%
5 8
 
4.1%
6 3
 
1.5%
35 1
 
0.5%
(Missing) 18
 
9.3%
ValueCountFrequency (%)
0 9
 
4.6%
1 12
 
6.2%
2 65
33.5%
3 62
32.0%
4 16
 
8.2%
5 8
 
4.1%
6 3
 
1.5%
35 1
 
0.5%
ValueCountFrequency (%)
35 1
 
0.5%
6 3
 
1.5%
5 8
 
4.1%
4 16
 
8.2%
3 62
32.0%
2 65
33.5%
1 12
 
6.2%
0 9
 
4.6%

차로수_하행
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)4.0%
Missing17
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean2.5932203
Minimum0
Maximum6
Zeros15
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:15.961974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2356261
Coefficient of variation (CV)0.47648328
Kurtosis0.89292333
Mean2.5932203
Median Absolute Deviation (MAD)1
Skewness0.048231965
Sum459
Variance1.526772
MonotonicityNot monotonic
2024-04-18T04:33:16.038451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 67
34.5%
2 61
31.4%
4 18
 
9.3%
0 15
 
7.7%
5 7
 
3.6%
1 5
 
2.6%
6 4
 
2.1%
(Missing) 17
 
8.8%
ValueCountFrequency (%)
0 15
 
7.7%
1 5
 
2.6%
2 61
31.4%
3 67
34.5%
4 18
 
9.3%
5 7
 
3.6%
6 4
 
2.1%
ValueCountFrequency (%)
6 4
 
2.1%
5 7
 
3.6%
4 18
 
9.3%
3 67
34.5%
2 61
31.4%
1 5
 
2.6%
0 15
 
7.7%

차로수_계
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)5.6%
Missing16
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean5.1292135
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:16.119907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5.5
Q36
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1940187
Coefficient of variation (CV)0.42774954
Kurtosis0.79174123
Mean5.1292135
Median Absolute Deviation (MAD)1.5
Skewness0.54444732
Sum913
Variance4.813718
MonotonicityNot monotonic
2024-04-18T04:33:16.197016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 57
29.4%
6 55
28.4%
2 16
 
8.2%
7 15
 
7.7%
8 9
 
4.6%
1 7
 
3.6%
10 7
 
3.6%
3 6
 
3.1%
12 3
 
1.5%
5 3
 
1.5%
(Missing) 16
 
8.2%
ValueCountFrequency (%)
1 7
 
3.6%
2 16
 
8.2%
3 6
 
3.1%
4 57
29.4%
5 3
 
1.5%
6 55
28.4%
7 15
 
7.7%
8 9
 
4.6%
10 7
 
3.6%
12 3
 
1.5%
ValueCountFrequency (%)
12 3
 
1.5%
10 7
 
3.6%
8 9
 
4.6%
7 15
 
7.7%
6 55
28.4%
5 3
 
1.5%
4 57
29.4%
3 6
 
3.1%
2 16
 
8.2%
1 7
 
3.6%

내진설계적용여부
Boolean

MISSING 

Distinct2
Distinct (%)1.3%
Missing40
Missing (%)20.6%
Memory size520.0 B
True
79 
False
75 
(Missing)
40 
ValueCountFrequency (%)
True 79
40.7%
False 75
38.7%
(Missing) 40
20.6%
2024-04-18T04:33:16.271233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상부구조_경간구성
Text

MISSING 

Distinct91
Distinct (%)48.1%
Missing5
Missing (%)2.6%
Memory size1.6 KiB
2024-04-18T04:33:16.367874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length83
Mean length10.126984
Min length1

Characters and Unicode

Total characters1914
Distinct characters22
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)41.8%

Sample

1st row40+2@50+55+50=245
2nd row40+2@55+40+45+50+2@40=365
3rd row40+2@50+55+50=245
4th row-
5th row-
ValueCountFrequency (%)
165
48.0%
50 8
 
2.3%
45 7
 
2.0%
2@20.04 3
 
0.9%
15 2
 
0.6%
30 2
 
0.6%
3@40 2
 
0.6%
50.5 2
 
0.6%
57.5 2
 
0.6%
4@50 2
 
0.6%
Other values (134) 149
43.3%
2024-04-18T04:33:16.598213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 227
11.9%
+ 220
11.5%
0 198
10.3%
2 176
9.2%
155
8.1%
4 137
 
7.2%
1 128
 
6.7%
@ 107
 
5.6%
3 105
 
5.5%
. 101
 
5.3%
Other values (12) 360
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1142
59.7%
Math Symbol 311
 
16.2%
Other Punctuation 208
 
10.9%
Space Separator 155
 
8.1%
Dash Punctuation 88
 
4.6%
Other Letter 8
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 227
19.9%
0 198
17.3%
2 176
15.4%
4 137
12.0%
1 128
11.2%
3 105
9.2%
6 70
 
6.1%
7 43
 
3.8%
9 30
 
2.6%
8 28
 
2.5%
Other Letter
ValueCountFrequency (%)
경 2
25.0%
간 2
25.0%
연 2
25.0%
속 2
25.0%
Math Symbol
ValueCountFrequency (%)
+ 220
70.7%
= 91
29.3%
Other Punctuation
ValueCountFrequency (%)
@ 107
51.4%
. 101
48.6%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1906
99.6%
Hangul 8
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
5 227
11.9%
+ 220
11.5%
0 198
10.4%
2 176
9.2%
155
8.1%
4 137
 
7.2%
1 128
 
6.7%
@ 107
 
5.6%
3 105
 
5.5%
. 101
 
5.3%
Other values (8) 352
18.5%
Hangul
ValueCountFrequency (%)
경 2
25.0%
간 2
25.0%
연 2
25.0%
속 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1906
99.6%
Hangul 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 227
11.9%
+ 220
11.5%
0 198
10.4%
2 176
9.2%
155
8.1%
4 137
 
7.2%
1 128
 
6.7%
@ 107
 
5.6%
3 105
 
5.5%
. 101
 
5.3%
Other values (8) 352
18.5%
Hangul
ValueCountFrequency (%)
경 2
25.0%
간 2
25.0%
연 2
25.0%
속 2
25.0%

상부구조_대표경간형식
Categorical

Distinct20
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
8
44 
1
30 
11
28 
di
21 
12
18 
Other values (15)
53 

Length

Max length13
Median length1
Mean length1.7835052
Min length1

Unique

Unique7 ?
Unique (%)3.6%

Sample

1st row8
2nd row8
3rd row8
4th row2
5th row1

Common Values

ValueCountFrequency (%)
8 44
22.7%
1 30
15.5%
11 28
14.4%
di 21
10.8%
12 18
9.3%
2 11
 
5.7%
9 9
 
4.6%
17 9
 
4.6%
- 7
 
3.6%
4 3
 
1.5%
Other values (10) 14
 
7.2%

Length

2024-04-18T04:33:16.717667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8 44
22.6%
1 30
15.4%
11 28
14.4%
di 21
10.8%
12 18
9.2%
2 11
 
5.6%
9 9
 
4.6%
17 9
 
4.6%
7
 
3.6%
rc중공슬래브교(rch 3
 
1.5%
Other values (11) 15
 
7.7%

상부구조_대표받침종류
Categorical

Distinct12
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
di
60 
-
52 
5
42 
3
22 
4
 
6
Other values (7)
12 

Length

Max length13
Median length1
Mean length1.5051546
Min length1

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st rowdi
2nd rowdi
3rd rowdi
4th row3
5th rowdi

Common Values

ValueCountFrequency (%)
di 60
30.9%
- 52
26.8%
5 42
21.6%
3 22
 
11.3%
4 6
 
3.1%
6 3
 
1.5%
포트받침 2
 
1.0%
고력황동받침판받침 2
 
1.0%
9 2
 
1.0%
강재 1
 
0.5%
Other values (2) 2
 
1.0%

Length

2024-04-18T04:33:16.812404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
di 60
30.9%
52
26.8%
5 42
21.6%
3 22
 
11.3%
4 6
 
3.1%
6 3
 
1.5%
포트받침 2
 
1.0%
고력황동받침판받침 2
 
1.0%
9 2
 
1.0%
강재 1
 
0.5%
Other values (2) 2
 
1.0%

상부구조_대표신축이음종류
Categorical

Distinct15
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
di
85 
-
71 
4
 
7
19
 
6
<NA>
 
6
Other values (10)
19 

Length

Max length12
Median length2
Mean length1.814433
Min length1

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st rowdi
2nd rowdi
3rd rowdi
4th row19
5th row19

Common Values

ValueCountFrequency (%)
di 85
43.8%
- 71
36.6%
4 7
 
3.6%
19 6
 
3.1%
<NA> 6
 
3.1%
11 4
 
2.1%
15 3
 
1.5%
Transflex죠인트 2
 
1.0%
13 2
 
1.0%
8 2
 
1.0%
Other values (5) 6
 
3.1%

Length

2024-04-18T04:33:16.922218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
di 85
43.8%
71
36.6%
4 7
 
3.6%
19 6
 
3.1%
na 6
 
3.1%
11 4
 
2.1%
15 3
 
1.5%
transflex죠인트 2
 
1.0%
13 2
 
1.0%
8 2
 
1.0%
Other values (5) 6
 
3.1%

상부구조_하부통과제한높이
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)47.4%
Missing137
Missing (%)70.6%
Infinite0
Infinite (%)0.0%
Mean6.5929825
Minimum1.5
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-18T04:33:17.024362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile2.54
Q14.5
median4.7
Q38
95-th percentile17
Maximum22
Range20.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation4.491216
Coefficient of variation (CV)0.68121158
Kurtosis3.9293919
Mean6.5929825
Median Absolute Deviation (MAD)0.8
Skewness1.9898681
Sum375.8
Variance20.171021
MonotonicityNot monotonic
2024-04-18T04:33:17.111439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4.5 14
 
7.2%
5.0 4
 
2.1%
8.0 4
 
2.1%
4.7 3
 
1.5%
3.3 3
 
1.5%
3.0 3
 
1.5%
10.0 2
 
1.0%
22.0 2
 
1.0%
11.0 2
 
1.0%
17.0 2
 
1.0%
Other values (17) 18
 
9.3%
(Missing) 137
70.6%
ValueCountFrequency (%)
1.5 1
 
0.5%
2.0 1
 
0.5%
2.3 1
 
0.5%
2.6 1
 
0.5%
3.0 3
 
1.5%
3.3 3
 
1.5%
4.2 1
 
0.5%
4.4 1
 
0.5%
4.5 14
7.2%
4.7 3
 
1.5%
ValueCountFrequency (%)
22.0 2
1.0%
17.0 2
1.0%
14.0 1
 
0.5%
13.3 1
 
0.5%
11.0 2
1.0%
10.0 2
1.0%
9.3 1
 
0.5%
8.3 1
 
0.5%
8.0 4
2.1%
7.7 1
 
0.5%

하부구조_대표교각형식
Categorical

Distinct10
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
-
79 
5
39 
di
25 
6
24 
3
10 
Other values (5)
17 

Length

Max length8
Median length1
Mean length1.3659794
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
- 79
40.7%
5 39
20.1%
di 25
 
12.9%
6 24
 
12.4%
3 10
 
5.2%
4 9
 
4.6%
라멘식(Ra) 3
 
1.5%
T형교각식(T) 3
 
1.5%
T형교각식 1
 
0.5%
<NA> 1
 
0.5%

Length

2024-04-18T04:33:17.207696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:33:17.305838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
79
40.7%
5 39
20.1%
di 25
 
12.9%
6 24
 
12.4%
3 10
 
5.2%
4 9
 
4.6%
라멘식(ra 3
 
1.5%
t형교각식(t 3
 
1.5%
t형교각식 1
 
0.5%
na 1
 
0.5%

하부구조_대표교대형식
Categorical

Distinct10
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
95 
-
67 
di
14 
1
 
7
2
 
4
Other values (5)
 
7

Length

Max length4
Median length1
Mean length1.1546392
Min length1

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row3
2nd row3
3rd row3
4th row-
5th row-

Common Values

ValueCountFrequency (%)
3 95
49.0%
- 67
34.5%
di 14
 
7.2%
1 7
 
3.6%
2 4
 
2.1%
역T형 3
 
1.5%
반중력식 1
 
0.5%
중력식 1
 
0.5%
<NA> 1
 
0.5%
박스식 1
 
0.5%

Length

2024-04-18T04:33:17.413065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:33:17.504403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 95
49.0%
67
34.5%
di 14
 
7.2%
1 7
 
3.6%
2 4
 
2.1%
역t형 3
 
1.5%
반중력식 1
 
0.5%
중력식 1
 
0.5%
na 1
 
0.5%
박스식 1
 
0.5%

Sample

시설물번호시설물명교량종점위치_시도교량종점위치_시군구교량종점위치_읍면동리교량종점위치_상세설계활하중허용통행하중연장_길이연장_경간수연장_최대경간장폭_보도폭_차도폭_계차로수_상행차로수_하행차로수_계내진설계적용여부상부구조_경간구성상부구조_대표경간형식상부구조_대표받침종류상부구조_대표신축이음종류상부구조_하부통과제한높이하부구조_대표교각형식하부구조_대표교대형식
0DBR2013-00143RAMP-B교대구광역시수성구파동-DB-24/DL-2443.2245.0555.00.05.85.8101Y40+2@50+55+50=2458didi17.053
1DBR2013-00144RAMP-C1교대구광역시수성구파동-DB-24/DL-2443.2365.0855.00.05.85.8101Y40+2@55+40+45+50+2@40=3658didi10.053
2DBR2013-00145RAMP-E교대구광역시수성구파동-DB-24/DL-2443.2245.0555.00.05.85.8101Y40+2@50+55+50=2458didi17.053
3DBR1988-00013가창교(구)대구광역시달성군가창면용계리DB-1825.087.0422.0<NA><NA>10.0224N-2319<NA>5-
4DBR1999-00063가창교(신)대구광역시달성군가창면용계리DB-24/DL-24<NA>85.2514.2<NA><NA>10.5<NA>22N-1di19<NA>5-
5DBR2003-00087가천교대구광역시수성구가천동-DB-24/DL-2443.2290.0560.00.02121.0336Y50+4@60=29085di4.753
6DBR2011-00129갓바위교대구광역시동구공산동-DB-2443.232.7132.5<NA><NA>30.0336Y-dididi<NA>-3
7DBR2014-00172강림교대구광역시달성군옥포면강림리DB-24/DL-2443.220.0<NA><NA><NA><NA>29.0437<NA>-17didi<NA>--
8DBR1999-00064거동교대구광역시북구학정동-DB-24/DL-24<NA>60.0416.5<NA><NA>30.0336N-13di<NA>di-
9DBR1993-00028경대교대구광역시북구대현동-DB-24/DL-2443.2120.0620.07.527.535.0538N6@20=120.025di3.363
시설물번호시설물명교량종점위치_시도교량종점위치_시군구교량종점위치_읍면동리교량종점위치_상세설계활하중허용통행하중연장_길이연장_경간수연장_최대경간장폭_보도폭_차도폭_계차로수_상행차로수_하행차로수_계내진설계적용여부상부구조_경간구성상부구조_대표경간형식상부구조_대표받침종류상부구조_대표신축이음종류상부구조_하부통과제한높이하부구조_대표교각형식하부구조_대표교대형식
184DBR2009-00118한정1교대구광역시달성군구지면평촌리DB-24<NA>45.0145.0<NA><NA>25.9224Y-di3di<NA>-3
185DBR2006-00102한천교대구광역시달성군가창면-DB-24/DL-2443.2225.0545.0<NA>1919.0224Y5@45=2258didi<NA>53
186DBR1996-00044현충고가교(공단)대구광역시남구대명동-DB-24/DL-2443.2120.0340.00.016.316.3224N3@40 = 12085<NA>4.553
187DBR1997-00053화랑교대구광역시동구효목2동-DB-24/DL-2443.2275.01125.010.04050.05510N11@25=275125-<NA>-2
188DBR2007-00105화천교대구광역시달성군화원읍본리리DB-24/DL-2443.2180.0360.03.82225.8336Y3@60=18085di4.553
189DBR2003-00095황금고가교대구광역시수성구황금동-DB-24/DL-2443.0240.0550.00.013.913.9224Y2@45+3@50=24085di4.5di3
190DBR1969-00001황금교(황청교)대구광역시수성구황금동-DB-1832.419.836.60.0020.0<NA><NA><NA><NA>-1-4<NA>6-
191DBR1992-00027효목고가교대구광역시동구효목2동-DB-24/DL-2443.2570.01450.00.015.515.5224N13@40+50=570851511.053
192DBR2011-00142효목교대구광역시동구효목동-DB-24<NA>35.0135.0<NA><NA>51.05510Y-dididi<NA>-3
193DBR1993-00033희망교대구광역시남구이천동-DB-24/DL-2443.2150.0722.08.024.532.5336N20+22+22+22+22+22+20=15024-3.361