Overview

Dataset statistics

Number of variables25
Number of observations208
Missing cells762
Missing cells (%)14.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.0 KiB
Average record size in memory211.6 B

Variable types

Text6
Categorical7
Numeric11
Boolean1

Dataset

Description대구광역시 교량에 대한 제원 현황입니다. (교량 시설물명, 위치, 연장, 폭, 설계하중, 허용통행하중 등 교량 제원 항목에 대한 정보)
Author대구광역시
URLhttps://www.data.go.kr/data/15042993/fileData.do

Alerts

교량종점위치_시도 is highly imbalanced (92.2%)Imbalance
교량종점위치_상세 has 159 (76.4%) missing valuesMissing
허용통행하중 has 87 (41.8%) missing valuesMissing
연장_경간수 has 12 (5.8%) missing valuesMissing
연장_최대경간장 has 14 (6.7%) missing valuesMissing
폭_보도 has 120 (57.7%) missing valuesMissing
폭_차도 has 112 (53.8%) missing valuesMissing
폭_계 has 3 (1.4%) missing valuesMissing
차로수_상행 has 19 (9.1%) missing valuesMissing
차로수_하행 has 20 (9.6%) missing valuesMissing
차로수_계 has 17 (8.2%) missing valuesMissing
내진설계적용여부 has 35 (16.8%) missing valuesMissing
상부구조_경간구성 has 92 (44.2%) missing valuesMissing
상부구조_대표경간형식 has 4 (1.9%) missing valuesMissing
상부구조_하부통과제한높이 has 65 (31.2%) missing valuesMissing
시설물명 has unique valuesUnique
폭_보도 has 42 (20.2%) zerosZeros
차로수_상행 has 9 (4.3%) zerosZeros
차로수_하행 has 15 (7.2%) zerosZeros

Reproduction

Analysis started2023-12-12 11:27:41.311193
Analysis finished2023-12-12 11:27:42.183950
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설물번호
Text

Distinct197
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:27:42.514675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length13.014423
Min length13

Characters and Unicode

Total characters2707
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

Unique195 ?
Unique (%)93.8%

Sample

1st rowDBR2013-00143
2nd rowDBR2013-00144
3rd rowDBR2013-00145
4th rowDBR1988-00013
5th rowDBR1999-00063
ValueCountFrequency (%)
dbr1994-00038 11
 
5.3%
dbr2003-00089 2
 
1.0%
dbr2003-00095 1
 
0.5%
dbr2007-00104 1
 
0.5%
dbr1999-00072 1
 
0.5%
dbr2013-00164 1
 
0.5%
dbr2010-00126 1
 
0.5%
dbr2013-00143 1
 
0.5%
dbr1998-00056 1
 
0.5%
dbr1997-00049 1
 
0.5%
Other values (187) 187
89.9%
2023-12-12T20:27:43.135025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 756
27.9%
1 324
12.0%
9 211
 
7.8%
B 208
 
7.7%
R 208
 
7.7%
- 208
 
7.7%
D 205
 
7.6%
2 176
 
6.5%
3 99
 
3.7%
4 78
 
2.9%
Other values (4) 234
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1878
69.4%
Uppercase Letter 621
 
22.9%
Dash Punctuation 208
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 756
40.3%
1 324
17.3%
9 211
 
11.2%
2 176
 
9.4%
3 99
 
5.3%
4 78
 
4.2%
8 77
 
4.1%
7 60
 
3.2%
6 52
 
2.8%
5 45
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
B 208
33.5%
R 208
33.5%
D 205
33.0%
Dash Punctuation
ValueCountFrequency (%)
- 208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2086
77.1%
Latin 621
 
22.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 756
36.2%
1 324
15.5%
9 211
 
10.1%
- 208
 
10.0%
2 176
 
8.4%
3 99
 
4.7%
4 78
 
3.7%
8 77
 
3.7%
7 60
 
2.9%
6 52
 
2.5%
Latin
ValueCountFrequency (%)
B 208
33.5%
R 208
33.5%
D 205
33.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 756
27.9%
1 324
12.0%
9 211
 
7.8%
B 208
 
7.7%
R 208
 
7.7%
- 208
 
7.7%
D 205
 
7.6%
2 176
 
6.5%
3 99
 
3.7%
4 78
 
2.9%
Other values (4) 234
 
8.6%

시설물명
Text

UNIQUE 

Distinct208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:27:43.584898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length5.6538462
Min length3

Characters and Unicode

Total characters1176
Distinct characters169
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

Unique208 ?
Unique (%)100.0%

Sample

1st rowRAMP-B교
2nd rowRAMP-C1교
3rd rowRAMP-E교
4th row가창교(구)
5th row가창교(신)
ValueCountFrequency (%)
성서ic 3
 
1.4%
율하천 2
 
0.9%
율암2교 1
 
0.5%
안심고가교 1
 
0.5%
안심교 1
 
0.5%
안지랑고가교(공단 1
 
0.5%
앞산고가교(공단 1
 
0.5%
연지교 1
 
0.5%
연호고가교 1
 
0.5%
예현1교 1
 
0.5%
Other values (203) 203
94.0%
2023-12-12T20:27:44.357713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 217
 
18.5%
) 67
 
5.7%
( 67
 
5.7%
공 48
 
4.1%
단 46
 
3.9%
천 29
 
2.5%
1 29
 
2.5%
가 28
 
2.4%
동 26
 
2.2%
고 25
 
2.1%
Other values (159) 594
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 931
79.2%
Close Punctuation 67
 
5.7%
Open Punctuation 67
 
5.7%
Decimal Number 64
 
5.4%
Uppercase Letter 33
 
2.8%
Space Separator 8
 
0.7%
Dash Punctuation 3
 
0.3%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 217
23.3%
공 48
 
5.2%
단 46
 
4.9%
천 29
 
3.1%
가 28
 
3.0%
동 26
 
2.8%
고 25
 
2.7%
대 24
 
2.6%
수 23
 
2.5%
리 15
 
1.6%
Other values (137) 450
48.3%
Uppercase Letter
ValueCountFrequency (%)
C 9
27.3%
I 8
24.2%
R 4
12.1%
M 3
 
9.1%
A 3
 
9.1%
P 3
 
9.1%
B 2
 
6.1%
E 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 29
45.3%
2 22
34.4%
3 8
 
12.5%
4 2
 
3.1%
5 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
m 1
33.3%
p 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 931
79.2%
Common 209
 
17.8%
Latin 36
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 217
23.3%
공 48
 
5.2%
단 46
 
4.9%
천 29
 
3.1%
가 28
 
3.0%
동 26
 
2.8%
고 25
 
2.7%
대 24
 
2.6%
수 23
 
2.5%
리 15
 
1.6%
Other values (137) 450
48.3%
Common
ValueCountFrequency (%)
) 67
32.1%
( 67
32.1%
1 29
13.9%
2 22
 
10.5%
8
 
3.8%
3 8
 
3.8%
- 3
 
1.4%
4 2
 
1.0%
5 1
 
0.5%
7 1
 
0.5%
Latin
ValueCountFrequency (%)
C 9
25.0%
I 8
22.2%
R 4
11.1%
M 3
 
8.3%
A 3
 
8.3%
P 3
 
8.3%
B 2
 
5.6%
a 1
 
2.8%
m 1
 
2.8%
p 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 931
79.2%
ASCII 245
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 217
23.3%
공 48
 
5.2%
단 46
 
4.9%
천 29
 
3.1%
가 28
 
3.0%
동 26
 
2.8%
고 25
 
2.7%
대 24
 
2.6%
수 23
 
2.5%
리 15
 
1.6%
Other values (137) 450
48.3%
ASCII
ValueCountFrequency (%)
) 67
27.3%
( 67
27.3%
1 29
11.8%
2 22
 
9.0%
C 9
 
3.7%
I 8
 
3.3%
8
 
3.3%
3 8
 
3.3%
R 4
 
1.6%
- 3
 
1.2%
Other values (12) 20
 
8.2%

교량종점위치_시도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
대구광역시
206 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.9903846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 206
99.0%
<NA> 2
 
1.0%

Length

2023-12-12T20:27:44.606260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:27:44.793149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 206
99.0%
na 2
 
1.0%

교량종점위치_시군구
Categorical

Distinct10
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
동구
60 
달성군
46 
북구
34 
수성구
28 
달서구
17 
Other values (5)
23 

Length

Max length4
Median length2
Mean length2.4663462
Min length2

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 60
28.8%
달성군 46
22.1%
북구 34
16.3%
수성구 28
13.5%
달서구 17
 
8.2%
남구 10
 
4.8%
서구 9
 
4.3%
<NA> 2
 
1.0%
가창면 1
 
0.5%
상인동 1
 
0.5%

Length

2023-12-12T20:27:45.010970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:27:45.280070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 60
28.8%
달성군 46
22.1%
북구 34
16.3%
수성구 28
13.5%
달서구 17
 
8.2%
남구 10
 
4.8%
서구 9
 
4.3%
na 2
 
1.0%
가창면 1
 
0.5%
상인동 1
 
0.5%

교량종점위치_읍면동리
Text

Distinct83
Distinct (%)40.3%
Missing2
Missing (%)1.0%
Memory size1.8 KiB
2023-12-12T20:27:45.800378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.1067961
Min length2

Characters and Unicode

Total characters640
Distinct characters101
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)18.0%

Sample

1st row파동
2nd row파동
3rd row파동
4th row가창면
5th row가창면
ValueCountFrequency (%)
유가면 14
 
6.8%
화원읍 8
 
3.9%
파동 7
 
3.4%
가창면 7
 
3.4%
구지면 6
 
2.9%
장기동 6
 
2.9%
율하동 6
 
2.9%
각산동 6
 
2.9%
옥포면 6
 
2.9%
비산동 5
 
2.4%
Other values (73) 135
65.5%
2023-12-12T20:27:46.408462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 166
25.9%
면 37
 
5.8%
산 26
 
4.1%
가 23
 
3.6%
유 14
 
2.2%
지 13
 
2.0%
천 12
 
1.9%
읍 11
 
1.7%
신 10
 
1.6%
서 9
 
1.4%
Other values (91) 319
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
96.7%
Decimal Number 14
 
2.2%
Other Punctuation 3
 
0.5%
Math Symbol 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 166
26.8%
면 37
 
6.0%
산 26
 
4.2%
가 23
 
3.7%
유 14
 
2.3%
지 13
 
2.1%
천 12
 
1.9%
읍 11
 
1.8%
신 10
 
1.6%
서 9
 
1.5%
Other values (82) 298
48.1%
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%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
96.7%
Common 21
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 166
26.8%
면 37
 
6.0%
산 26
 
4.2%
가 23
 
3.7%
유 14
 
2.3%
지 13
 
2.1%
천 12
 
1.9%
읍 11
 
1.8%
신 10
 
1.6%
서 9
 
1.5%
Other values (82) 298
48.1%
Common
ValueCountFrequency (%)
2 7
33.3%
1 3
14.3%
7 3
14.3%
, 2
 
9.5%
~ 2
 
9.5%
4 1
 
4.8%
. 1
 
4.8%
) 1
 
4.8%
( 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
96.7%
ASCII 21
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 166
26.8%
면 37
 
6.0%
산 26
 
4.2%
가 23
 
3.7%
유 14
 
2.3%
지 13
 
2.1%
천 12
 
1.9%
읍 11
 
1.8%
신 10
 
1.6%
서 9
 
1.5%
Other values (82) 298
48.1%
ASCII
ValueCountFrequency (%)
2 7
33.3%
1 3
14.3%
7 3
14.3%
, 2
 
9.5%
~ 2
 
9.5%
4 1
 
4.8%
. 1
 
4.8%
) 1
 
4.8%
( 1
 
4.8%

교량종점위치_상세
Text

MISSING 

Distinct35
Distinct (%)71.4%
Missing159
Missing (%)76.4%
Memory size1.8 KiB
2023-12-12T20:27:46.725215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.8163265
Min length2

Characters and Unicode

Total characters187
Distinct characters67
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)53.1%

Sample

1st row용계리
2nd row용계리
3rd row강림리
4th row상리
5th row상리
ValueCountFrequency (%)
상리 5
 
9.1%
용계리 4
 
7.3%
기세리 2
 
3.6%
본리 2
 
3.6%
명곡리 2
 
3.6%
하산리 2
 
3.6%
김흥리 2
 
3.6%
봉리 2
 
3.6%
평촌리 2
 
3.6%
성서공단 2
 
3.6%
Other values (29) 30
54.5%
2023-12-12T20:27:47.413322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 37
 
19.8%
1 6
 
3.2%
6
 
3.2%
- 6
 
3.2%
상 5
 
2.7%
8 5
 
2.7%
단 5
 
2.7%
4 5
 
2.7%
0 5
 
2.7%
천 5
 
2.7%
Other values (57) 102
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
77.0%
Decimal Number 31
 
16.6%
Space Separator 6
 
3.2%
Dash Punctuation 6
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 37
25.7%
상 5
 
3.5%
단 5
 
3.5%
천 5
 
3.5%
용 5
 
3.5%
지 4
 
2.8%
계 4
 
2.8%
서 4
 
2.8%
산 3
 
2.1%
성 3
 
2.1%
Other values (46) 69
47.9%
Decimal Number
ValueCountFrequency (%)
1 6
19.4%
8 5
16.1%
4 5
16.1%
0 5
16.1%
5 3
9.7%
2 2
 
6.5%
7 2
 
6.5%
6 2
 
6.5%
9 1
 
3.2%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
77.0%
Common 43
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 37
25.7%
상 5
 
3.5%
단 5
 
3.5%
천 5
 
3.5%
용 5
 
3.5%
지 4
 
2.8%
계 4
 
2.8%
서 4
 
2.8%
산 3
 
2.1%
성 3
 
2.1%
Other values (46) 69
47.9%
Common
ValueCountFrequency (%)
1 6
14.0%
6
14.0%
- 6
14.0%
8 5
11.6%
4 5
11.6%
0 5
11.6%
5 3
7.0%
2 2
 
4.7%
7 2
 
4.7%
6 2
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
77.0%
ASCII 43
 
23.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 37
25.7%
상 5
 
3.5%
단 5
 
3.5%
천 5
 
3.5%
용 5
 
3.5%
지 4
 
2.8%
계 4
 
2.8%
서 4
 
2.8%
산 3
 
2.1%
성 3
 
2.1%
Other values (46) 69
47.9%
ASCII
ValueCountFrequency (%)
1 6
14.0%
6
14.0%
- 6
14.0%
8 5
11.6%
4 5
11.6%
0 5
11.6%
5 3
7.0%
2 2
 
4.7%
7 2
 
4.7%
6 2
 
4.7%

설계활하중
Categorical

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
DB-24/DL-24
124 
DB-24
78 
DB-18
 
5
<NA>
 
1

Length

Max length11
Median length11
Mean length8.5721154
Min length4

Unique

Unique1 ?
Unique (%)0.5%

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-24 124
59.6%
DB-24 78
37.5%
DB-18 5
 
2.4%
<NA> 1
 
0.5%

Length

2023-12-12T20:27:47.672805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:27:47.891733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
db-24/dl-24 124
59.6%
db-24 78
37.5%
db-18 5
 
2.4%
na 1
 
0.5%

허용통행하중
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)5.8%
Missing87
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean81.778512
Minimum25
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:48.114046image/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 deviation301.79409
Coefficient of variation (CV)3.6903837
Kurtosis57.925492
Mean81.778512
Median Absolute Deviation (MAD)0
Skewness7.6788409
Sum9895.2
Variance91079.67
MonotonicityNot monotonic
2023-12-12T20:27:48.332088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
43.2 114
54.8%
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) 87
41.8%
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%
43.2 114
54.8%
2400.0 2
 
1.0%
ValueCountFrequency (%)
2400.0 2
 
1.0%
43.2 114
54.8%
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)

Distinct133
Distinct (%)64.3%
Missing1
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean152.66623
Minimum2
Maximum1651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:48.581530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11.3
Q135
median83
Q3170
95-th percentile533.6
Maximum1651
Range1649
Interquartile range (IQR)135

Descriptive statistics

Standard deviation209.92118
Coefficient of variation (CV)1.3750334
Kurtosis15.346122
Mean152.66623
Median Absolute Deviation (MAD)57.7
Skewness3.2959216
Sum31601.91
Variance44066.9
MonotonicityNot monotonic
2023-12-12T20:27:48.839192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120.0 7
 
3.4%
15.0 6
 
2.9%
80.0 5
 
2.4%
60.0 5
 
2.4%
90.0 5
 
2.4%
12.0 4
 
1.9%
180.0 4
 
1.9%
10.0 4
 
1.9%
20.0 4
 
1.9%
54.0 3
 
1.4%
Other values (123) 160
76.9%
ValueCountFrequency (%)
2.0 1
 
0.5%
5.0 2
1.0%
8.0 1
 
0.5%
8.9 1
 
0.5%
10.0 4
1.9%
11.0 2
1.0%
12.0 4
1.9%
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%
646.5 1
0.5%
640.0 1
0.5%
570.0 1
0.5%

연장_경간수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)9.7%
Missing12
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean4.9030612
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:49.076374image/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 deviation5.0419564
Coefficient of variation (CV)1.0283282
Kurtosis10.629348
Mean4.9030612
Median Absolute Deviation (MAD)2
Skewness2.7030807
Sum961
Variance25.421324
MonotonicityNot monotonic
2023-12-12T20:27:49.290330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 47
22.6%
3 45
21.6%
2 20
9.6%
5 14
 
6.7%
4 14
 
6.7%
7 10
 
4.8%
11 8
 
3.8%
6 8
 
3.8%
8 8
 
3.8%
14 7
 
3.4%
Other values (9) 15
 
7.2%
(Missing) 12
 
5.8%
ValueCountFrequency (%)
1 47
22.6%
2 20
9.6%
3 45
21.6%
4 14
 
6.7%
5 14
 
6.7%
6 8
 
3.8%
7 10
 
4.8%
8 8
 
3.8%
9 3
 
1.4%
10 3
 
1.4%
ValueCountFrequency (%)
37 1
 
0.5%
26 2
 
1.0%
20 1
 
0.5%
19 1
 
0.5%
17 1
 
0.5%
15 2
 
1.0%
14 7
3.4%
13 1
 
0.5%
11 8
3.8%
10 3
 
1.4%

연장_최대경간장
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)40.7%
Missing14
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean33.719433
Minimum5
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:49.537694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.79
Q116
median30
Q349.375
95-th percentile63.35
Maximum164
Range159
Interquartile range (IQR)33.375

Descriptive statistics

Standard deviation21.96493
Coefficient of variation (CV)0.65140271
Kurtosis7.4854649
Mean33.719433
Median Absolute Deviation (MAD)15
Skewness1.8689714
Sum6541.57
Variance482.45815
MonotonicityNot monotonic
2023-12-12T20:27:50.330119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 14
 
6.7%
15.0 13
 
6.2%
40.0 13
 
6.2%
50.0 10
 
4.8%
45.0 7
 
3.4%
16.0 7
 
3.4%
55.0 7
 
3.4%
20.0 6
 
2.9%
35.0 6
 
2.9%
22.0 6
 
2.9%
Other values (69) 105
50.5%
(Missing) 14
 
6.7%
ValueCountFrequency (%)
5.0 4
1.9%
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
1.9%
11.0 2
1.0%
12.0 4
1.9%
12.2 1
 
0.5%
ValueCountFrequency (%)
164.0 1
 
0.5%
125.0 2
 
1.0%
66.5 1
 
0.5%
65.9 1
 
0.5%
65.0 4
 
1.9%
64.0 1
 
0.5%
63.0 1
 
0.5%
60.0 14
6.7%
59.5 1
 
0.5%
57.5 1
 
0.5%

폭_보도
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)31.8%
Missing120
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean4.0261364
Minimum0
Maximum30
Zeros42
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:50.596897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.25
Q38
95-th percentile10.65
Maximum30
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.2290193
Coefficient of variation (CV)1.2987685
Kurtosis6.0695564
Mean4.0261364
Median Absolute Deviation (MAD)2.25
Skewness1.8952493
Sum354.3
Variance27.342642
MonotonicityNot monotonic
2023-12-12T20:27:50.867889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 42
 
20.2%
10.0 6
 
2.9%
8.0 5
 
2.4%
2.5 4
 
1.9%
9.8 3
 
1.4%
9.0 3
 
1.4%
11.8 2
 
1.0%
4.0 2
 
1.0%
6.8 2
 
1.0%
3.8 1
 
0.5%
Other values (18) 18
 
8.7%
(Missing) 120
57.7%
ValueCountFrequency (%)
0.0 42
20.2%
0.9 1
 
0.5%
2.0 1
 
0.5%
2.5 4
 
1.9%
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%
20.0 1
 
0.5%
11.8 2
 
1.0%
11.0 1
 
0.5%
10.0 6
2.9%
9.8 3
1.4%
9.6 1
 
0.5%
9.0 3
1.4%
8.9 1
 
0.5%
8.0 5
2.4%

폭_차도
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)56.2%
Missing112
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean19.147917
Minimum0
Maximum50
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:51.138948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.725
Q113.375
median19.65
Q323.475
95-th percentile39.175
Maximum50
Range50
Interquartile range (IQR)10.1

Descriptive statistics

Standard deviation9.7749409
Coefficient of variation (CV)0.51049631
Kurtosis1.3297991
Mean19.147917
Median Absolute Deviation (MAD)5.35
Skewness0.80873038
Sum1838.2
Variance95.549469
MonotonicityNot monotonic
2023-12-12T20:27:51.372823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.0 12
 
5.8%
10.5 6
 
2.9%
22.0 5
 
2.4%
20.0 4
 
1.9%
16.0 4
 
1.9%
13.5 3
 
1.4%
17.0 3
 
1.4%
26.0 3
 
1.4%
19.0 3
 
1.4%
25.0 3
 
1.4%
Other values (44) 50
24.0%
(Missing) 112
53.8%
ValueCountFrequency (%)
0.0 2
1.0%
4.0 1
 
0.5%
4.5 1
 
0.5%
5.5 1
 
0.5%
5.8 3
1.4%
6.0 1
 
0.5%
6.2 1
 
0.5%
7.5 1
 
0.5%
8.6 1
 
0.5%
8.8 1
 
0.5%
ValueCountFrequency (%)
50.0 1
0.5%
47.3 1
0.5%
47.0 1
0.5%
41.0 1
0.5%
40.0 1
0.5%
38.9 1
0.5%
38.0 1
0.5%
33.8 1
0.5%
30.0 2
1.0%
28.2 1
0.5%

폭_계
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)45.9%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean26.307561
Minimum4
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:51.620407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9.2
Q119
median25.9
Q332.5
95-th percentile50
Maximum71
Range67
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation11.770325
Coefficient of variation (CV)0.44741224
Kurtosis0.53459009
Mean26.307561
Median Absolute Deviation (MAD)6.9
Skewness0.61218882
Sum5393.05
Variance138.54054
MonotonicityNot monotonic
2023-12-12T20:27:51.870327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 20
 
9.6%
20.0 17
 
8.2%
35.0 10
 
4.8%
16.0 7
 
3.4%
21.0 7
 
3.4%
10.5 7
 
3.4%
50.0 5
 
2.4%
25.0 5
 
2.4%
31.0 4
 
1.9%
36.0 4
 
1.9%
Other values (84) 119
57.2%
ValueCountFrequency (%)
4.0 1
 
0.5%
5.8 3
1.4%
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
1.4%
50.0 5
2.4%
49.9 1
 
0.5%
49.1 1
 
0.5%
47.3 1
 
0.5%

차로수_상행
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.2%
Missing19
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean2.7513228
Minimum0
Maximum35
Zeros9
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:52.104475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum35
Range35
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.624873
Coefficient of variation (CV)0.95404038
Kurtosis122.21532
Mean2.7513228
Median Absolute Deviation (MAD)1
Skewness9.9553343
Sum520
Variance6.8899583
MonotonicityNot monotonic
2023-12-12T20:27:52.303423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 70
33.7%
3 67
32.2%
4 17
 
8.2%
1 13
 
6.2%
5 9
 
4.3%
0 9
 
4.3%
6 3
 
1.4%
35 1
 
0.5%
(Missing) 19
 
9.1%
ValueCountFrequency (%)
0 9
 
4.3%
1 13
 
6.2%
2 70
33.7%
3 67
32.2%
4 17
 
8.2%
5 9
 
4.3%
6 3
 
1.4%
35 1
 
0.5%
ValueCountFrequency (%)
35 1
 
0.5%
6 3
 
1.4%
5 9
 
4.3%
4 17
 
8.2%
3 67
32.2%
2 70
33.7%
1 13
 
6.2%
0 9
 
4.3%

차로수_하행
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)3.7%
Missing20
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean2.606383
Minimum0
Maximum6
Zeros15
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:52.502178image/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 deviation1.2255575
Coefficient of variation (CV)0.47021389
Kurtosis0.88560992
Mean2.606383
Median Absolute Deviation (MAD)1
Skewness0.050309438
Sum490
Variance1.5019911
MonotonicityNot monotonic
2023-12-12T20:27:52.690896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 72
34.6%
2 64
30.8%
4 19
 
9.1%
0 15
 
7.2%
5 8
 
3.8%
1 6
 
2.9%
6 4
 
1.9%
(Missing) 20
 
9.6%
ValueCountFrequency (%)
0 15
 
7.2%
1 6
 
2.9%
2 64
30.8%
3 72
34.6%
4 19
 
9.1%
5 8
 
3.8%
6 4
 
1.9%
ValueCountFrequency (%)
6 4
 
1.9%
5 8
 
3.8%
4 19
 
9.1%
3 72
34.6%
2 64
30.8%
1 6
 
2.9%
0 15
 
7.2%

차로수_계
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)5.2%
Missing17
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean5.1256545
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:52.884886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.1968689
Coefficient of variation (CV)0.42860262
Kurtosis0.73522977
Mean5.1256545
Median Absolute Deviation (MAD)1
Skewness0.53373709
Sum979
Variance4.8262331
MonotonicityNot monotonic
2023-12-12T20:27:53.079078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4 60
28.8%
6 59
28.4%
2 16
 
7.7%
7 15
 
7.2%
8 10
 
4.8%
1 8
 
3.8%
10 8
 
3.8%
3 8
 
3.8%
5 4
 
1.9%
12 3
 
1.4%
(Missing) 17
 
8.2%
ValueCountFrequency (%)
1 8
 
3.8%
2 16
 
7.7%
3 8
 
3.8%
4 60
28.8%
5 4
 
1.9%
6 59
28.4%
7 15
 
7.2%
8 10
 
4.8%
10 8
 
3.8%
12 3
 
1.4%
ValueCountFrequency (%)
12 3
 
1.4%
10 8
 
3.8%
8 10
 
4.8%
7 15
 
7.2%
6 59
28.4%
5 4
 
1.9%
4 60
28.8%
3 8
 
3.8%
2 16
 
7.7%
1 8
 
3.8%

내진설계적용여부
Boolean

MISSING 

Distinct2
Distinct (%)1.2%
Missing35
Missing (%)16.8%
Memory size548.0 B
True
118 
False
55 
(Missing)
35 
ValueCountFrequency (%)
True 118
56.7%
False 55
26.4%
(Missing) 35
 
16.8%
2023-12-12T20:27:53.283914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

상부구조_경간구성
Text

MISSING 

Distinct104
Distinct (%)89.7%
Missing92
Missing (%)44.2%
Memory size1.8 KiB
2023-12-12T20:27:53.560963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length46
Mean length19.534483
Min length1

Characters and Unicode

Total characters2266
Distinct characters21
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

Unique92 ?
Unique (%)79.3%

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 row50+4@60=290
5th row6@20=120.0
ValueCountFrequency (%)
123
33.9%
50 8
 
2.2%
45 7
 
1.9%
15 7
 
1.9%
2@20.04 3
 
0.8%
30 3
 
0.8%
125+3@35=230 2
 
0.6%
17.5 2
 
0.6%
50.5 2
 
0.6%
39 2
 
0.6%
Other values (181) 204
56.2%
2023-12-12T20:27:54.176437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 270
11.9%
5 266
11.7%
247
10.9%
0 213
9.4%
2 204
9.0%
1 170
7.5%
4 164
7.2%
. 142
6.3%
3 136
 
6.0%
@ 111
 
4.9%
Other values (11) 343
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1381
60.9%
Math Symbol 375
 
16.5%
Other Punctuation 253
 
11.2%
Space Separator 247
 
10.9%
Other Letter 8
 
0.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 266
19.3%
0 213
15.4%
2 204
14.8%
1 170
12.3%
4 164
11.9%
3 136
9.8%
6 90
 
6.5%
9 51
 
3.7%
7 50
 
3.6%
8 37
 
2.7%
Other Letter
ValueCountFrequency (%)
경 2
25.0%
간 2
25.0%
연 2
25.0%
속 2
25.0%
Math Symbol
ValueCountFrequency (%)
+ 270
72.0%
= 105
 
28.0%
Other Punctuation
ValueCountFrequency (%)
. 142
56.1%
@ 111
43.9%
Space Separator
ValueCountFrequency (%)
247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2258
99.6%
Hangul 8
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
+ 270
12.0%
5 266
11.8%
247
10.9%
0 213
9.4%
2 204
9.0%
1 170
7.5%
4 164
7.3%
. 142
6.3%
3 136
6.0%
@ 111
 
4.9%
Other values (7) 335
14.8%
Hangul
ValueCountFrequency (%)
경 2
25.0%
간 2
25.0%
연 2
25.0%
속 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2258
99.6%
Hangul 8
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 270
12.0%
5 266
11.8%
247
10.9%
0 213
9.4%
2 204
9.0%
1 170
7.5%
4 164
7.3%
. 142
6.3%
3 136
6.0%
@ 111
 
4.9%
Other values (7) 335
14.8%
Hangul
ValueCountFrequency (%)
경 2
25.0%
간 2
25.0%
연 2
25.0%
속 2
25.0%

상부구조_대표경간형식
Text

MISSING 

Distinct57
Distinct (%)27.9%
Missing4
Missing (%)1.9%
Memory size1.8 KiB
2023-12-12T20:27:54.584917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.3382353
Min length2

Characters and Unicode

Total characters1497
Distinct characters82
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)14.2%

Sample

1st row강박스거더교(STB)
2nd row강박스거더교(STB)
3rd row강박스거더교(STB)
4th rowRCH
5th rowRCH
ValueCountFrequency (%)
강박스거더교(stb 44
19.0%
rcs 21
 
9.1%
라멘교 11
 
4.7%
rc라멘교 10
 
4.3%
psc빔교 10
 
4.3%
psci 8
 
3.4%
rc중공슬래브교(rch 8
 
3.4%
rch 8
 
3.4%
girder 7
 
3.0%
ra(라멘교 5
 
2.2%
Other values (54) 100
43.1%
2023-12-12T20:27:55.306166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 138
 
9.2%
C 120
 
8.0%
S 105
 
7.0%
R 96
 
6.4%
( 76
 
5.1%
) 76
 
5.1%
거 61
 
4.1%
더 61
 
4.1%
B 60
 
4.0%
P 59
 
3.9%
Other values (72) 645
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 648
43.3%
Uppercase Letter 593
39.6%
Open Punctuation 76
 
5.1%
Close Punctuation 76
 
5.1%
Lowercase Letter 59
 
3.9%
Space Separator 28
 
1.9%
Other Punctuation 5
 
0.3%
Dash Punctuation 5
 
0.3%
Decimal Number 4
 
0.3%
Math Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 138
21.3%
거 61
9.4%
더 61
9.4%
스 56
8.6%
박 50
 
7.7%
강 48
 
7.4%
라 41
 
6.3%
멘 40
 
6.2%
빔 19
 
2.9%
슬 17
 
2.6%
Other values (32) 117
18.1%
Uppercase Letter
ValueCountFrequency (%)
C 120
20.2%
S 105
17.7%
R 96
16.2%
B 60
10.1%
P 59
9.9%
T 49
8.3%
I 22
 
3.7%
H 17
 
2.9%
A 14
 
2.4%
E 10
 
1.7%
Other values (8) 41
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
r 16
27.1%
e 14
23.7%
d 7
11.9%
i 7
11.9%
m 3
 
5.1%
c 2
 
3.4%
l 2
 
3.4%
t 2
 
3.4%
o 2
 
3.4%
a 2
 
3.4%
Other values (2) 2
 
3.4%
Decimal Number
ValueCountFrequency (%)
0 1
25.0%
4 1
25.0%
2 1
25.0%
1 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 652
43.6%
Hangul 648
43.3%
Common 197
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 138
21.3%
거 61
9.4%
더 61
9.4%
스 56
8.6%
박 50
 
7.7%
강 48
 
7.4%
라 41
 
6.3%
멘 40
 
6.2%
빔 19
 
2.9%
슬 17
 
2.6%
Other values (32) 117
18.1%
Latin
ValueCountFrequency (%)
C 120
18.4%
S 105
16.1%
R 96
14.7%
B 60
9.2%
P 59
9.0%
T 49
7.5%
I 22
 
3.4%
H 17
 
2.6%
r 16
 
2.5%
A 14
 
2.1%
Other values (20) 94
14.4%
Common
ValueCountFrequency (%)
( 76
38.6%
) 76
38.6%
28
 
14.2%
. 5
 
2.5%
- 5
 
2.5%
+ 3
 
1.5%
0 1
 
0.5%
4 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 849
56.7%
Hangul 648
43.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 138
21.3%
거 61
9.4%
더 61
9.4%
스 56
8.6%
박 50
 
7.7%
강 48
 
7.4%
라 41
 
6.3%
멘 40
 
6.2%
빔 19
 
2.9%
슬 17
 
2.6%
Other values (32) 117
18.1%
ASCII
ValueCountFrequency (%)
C 120
14.1%
S 105
12.4%
R 96
11.3%
( 76
9.0%
) 76
9.0%
B 60
 
7.1%
P 59
 
6.9%
T 49
 
5.8%
28
 
3.3%
I 22
 
2.6%
Other values (30) 158
18.6%

상부구조_대표받침종류
Categorical

Distinct19
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
탄성받침
62 
<NA>
58 
포트받침
43 
면진받침
8 
고력황동받침판받침
7 
Other values (14)
30 

Length

Max length13
Median length4
Mean length4.6826923
Min length3

Unique

Unique6 ?
Unique (%)2.9%

Sample

1st row디스크받침+면진디스크받침
2nd row디스크받침+면진디스크받침
3rd row면진받침
4th row탄성받침
5th row탄성받침

Common Values

ValueCountFrequency (%)
탄성받침 62
29.8%
<NA> 58
27.9%
포트받침 43
20.7%
면진받침 8
 
3.8%
고력황동받침판받침 7
 
3.4%
디스크받침+면진디스크받침 6
 
2.9%
일체형 탄성받침 4
 
1.9%
고무받침 3
 
1.4%
로울러받침 3
 
1.4%
고력황동받침 2
 
1.0%
Other values (9) 12
 
5.8%

Length

2023-12-12T20:27:55.560453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
탄성받침 67
31.2%
na 58
27.0%
포트받침 44
20.5%
면진받침 8
 
3.7%
고력황동받침판받침 7
 
3.3%
디스크받침+면진디스크받침 6
 
2.8%
일체형 4
 
1.9%
고무받침 3
 
1.4%
로울러받침 3
 
1.4%
spepical 2
 
0.9%
Other values (9) 13
 
6.0%

상부구조_대표신축이음종류
Categorical

Distinct46
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
82 
핑거조인트
24 
레일조인트
9 
Monocell Joint
9 
N.B Joint
 
7
Other values (41)
77 

Length

Max length29
Median length24
Mean length7.5
Min length3

Unique

Unique24 ?
Unique (%)11.5%

Sample

1st row핑거조인트
2nd row핑거조인트
3rd row핑거조인트
4th rowNew Monocell Joint
5th rowNew Monocell Joint

Common Values

ValueCountFrequency (%)
<NA> 82
39.4%
핑거조인트 24
 
11.5%
레일조인트 9
 
4.3%
Monocell Joint 9
 
4.3%
N.B Joint 7
 
3.4%
New Monocell Joint 6
 
2.9%
Road Seal 5
 
2.4%
모노셀조인트 5
 
2.4%
핑거형 5
 
2.4%
AL Joint 4
 
1.9%
Other values (36) 52
25.0%

Length

2023-12-12T20:27:55.816780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 82
26.8%
joint 48
15.7%
핑거조인트 24
 
7.8%
monocell 18
 
5.9%
new 11
 
3.6%
레일조인트 9
 
2.9%
n.b 9
 
2.9%
road 6
 
2.0%
seal 6
 
2.0%
핑거형 5
 
1.6%
Other values (46) 88
28.8%

상부구조_하부통과제한높이
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)26.6%
Missing65
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean5.551049
Minimum2
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T20:27:56.053612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.82
Q13.65
median4.8
Q36
95-th percentile11
Maximum22
Range20
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation3.2536408
Coefficient of variation (CV)0.58613081
Kurtosis9.8703659
Mean5.551049
Median Absolute Deviation (MAD)1.2
Skewness2.7892197
Sum793.8
Variance10.586178
MonotonicityNot monotonic
2023-12-12T20:27:56.285349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
4.5 21
 
10.1%
5.0 20
 
9.6%
3.0 14
 
6.7%
3.3 11
 
5.3%
6.0 11
 
5.3%
8.0 6
 
2.9%
4.0 6
 
2.9%
7.0 4
 
1.9%
5.5 4
 
1.9%
3.5 3
 
1.4%
Other values (28) 43
20.7%
(Missing) 65
31.2%
ValueCountFrequency (%)
2.0 2
 
1.0%
2.2 2
 
1.0%
2.3 1
 
0.5%
2.6 1
 
0.5%
2.8 2
 
1.0%
3.0 14
6.7%
3.3 11
5.3%
3.5 3
 
1.4%
3.8 2
 
1.0%
4.0 6
2.9%
ValueCountFrequency (%)
22.0 2
1.0%
17.0 2
1.0%
14.0 1
 
0.5%
13.3 1
 
0.5%
12.0 1
 
0.5%
11.0 3
1.4%
10.0 2
1.0%
9.3 1
 
0.5%
9.0 2
1.0%
8.3 1
 
0.5%

하부구조_대표교각형식
Categorical

Distinct33
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
60 
T형교각식(T)
31 
직접기초
18 
라멘식(Ra)
11 
T형교각식
10 
Other values (28)
78 

Length

Max length9
Median length8
Mean length4.5961538
Min length1

Unique

Unique12 ?
Unique (%)5.8%

Sample

1st rowT형교각식
2nd rowT형교각식
3rd rowT형교각식
4th rowT형
5th rowT형

Common Values

ValueCountFrequency (%)
<NA> 60
28.8%
T형교각식(T) 31
14.9%
직접기초 18
 
8.7%
라멘식(Ra) 11
 
5.3%
T형교각식 10
 
4.8%
다주식 10
 
4.8%
라멘식 8
 
3.8%
T형 7
 
3.4%
구주식 7
 
3.4%
ㅠ형교각 4
 
1.9%
Other values (23) 42
20.2%

Length

2023-12-12T20:27:56.533697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 60
27.1%
t형교각식(t 31
14.0%
직접기초 18
 
8.1%
라멘식(ra 12
 
5.4%
다주식 11
 
5.0%
t형교각식 10
 
4.5%
구주식 9
 
4.1%
라멘식 8
 
3.6%
ㅠ형 7
 
3.2%
t형 7
 
3.2%
Other values (25) 48
21.7%

하부구조_대표교대형식
Categorical

Distinct14
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
역T형
125 
<NA>
35 
직접기초
18 
중력식
 
12
반중력식
 
6
Other values (9)
 
12

Length

Max length5
Median length3
Mean length3.2884615
Min length2

Unique

Unique6 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
역T형 125
60.1%
<NA> 35
 
16.8%
직접기초 18
 
8.7%
중력식 12
 
5.8%
반중력식 6
 
2.9%
벽식 2
 
1.0%
파일기초 2
 
1.0%
라멘교 2
 
1.0%
T형 1
 
0.5%
부벽식 1
 
0.5%
Other values (4) 4
 
1.9%

Length

2023-12-12T20:27:56.740163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
역t형 125
60.1%
na 35
 
16.8%
직접기초 18
 
8.7%
중력식 12
 
5.8%
반중력식 6
 
2.9%
벽식 2
 
1.0%
파일기초 2
 
1.0%
라멘교 2
 
1.0%
t형 1
 
0.5%
부벽식 1
 
0.5%
Other values (4) 4
 
1.9%

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<NA>DB-24/DL-2443.2245.0555.00.05.85.8101Y40+2@50+55+50=245강박스거더교(STB)디스크받침+면진디스크받침핑거조인트17.0T형교각식역T형
1DBR2013-00144RAMP-C1교대구광역시수성구파동<NA>DB-24/DL-2443.2365.0855.00.05.85.8101Y40+2@55+40+45+50+2@40=365강박스거더교(STB)디스크받침+면진디스크받침핑거조인트10.0T형교각식역T형
2DBR2013-00145RAMP-E교대구광역시수성구파동<NA>DB-24/DL-2443.2245.0555.00.05.85.8101Y40+2@50+55+50=245강박스거더교(STB)면진받침핑거조인트17.0T형교각식역T형
3DBR1988-00013가창교(구)대구광역시달성군가창면용계리DB-1825.087.0422.0<NA><NA>10.0224N<NA>RCH탄성받침New Monocell Joint3.0T형역T형
4DBR1999-00063가창교(신)대구광역시달성군가창면용계리DB-24/DL-24<NA>85.2514.2<NA><NA>10.5<NA>22Y<NA>RCH탄성받침New Monocell Joint3.0T형역T형
5DBR2003-00087가천교대구광역시수성구가천동<NA>DB-24/DL-2443.2290.0560.00.021.021.0336Y50+4@60=290강박스거더교(STB)포트받침레일조인트4.7T형교각식역T형
6DBR2011-00129갓바위교대구광역시동구공산동<NA>DB-2443.232.7132.5<NA><NA>30.0336Y<NA>PSC탄성받침New Finger Joint4.0<NA>역T형
7DBR2014-00172강림교대구광역시달성군옥포면강림리DB-24/DL-2443.220.0<NA><NA><NA><NA>29.0437<NA><NA>프리플렉스빔교탄성받침뉴모노셀조인트<NA><NA><NA>
8DBR1999-00064거동교대구광역시북구학정동<NA>DB-24/DL-24<NA>60.0416.5<NA><NA>30.0336Y<NA>RCS탄성받침Road Seal6.03주식중력식
9DBR1993-00028경대교대구광역시북구대현동<NA>DB-24/DL-2443.2120.0620.07.527.535.0538N6@20=120.0RC중공슬래브교(RCH)포트받침윙플렉스3.3라멘식(Ra)역T형
시설물번호시설물명교량종점위치_시도교량종점위치_시군구교량종점위치_읍면동리교량종점위치_상세설계활하중허용통행하중연장_길이연장_경간수연장_최대경간장폭_보도폭_차도폭_계차로수_상행차로수_하행차로수_계내진설계적용여부상부구조_경간구성상부구조_대표경간형식상부구조_대표받침종류상부구조_대표신축이음종류상부구조_하부통과제한높이하부구조_대표교각형식하부구조_대표교대형식
198DBR2006-00102한천교대구광역시달성군가창면<NA>DB-24/DL-2443.2225.0545.0<NA>19.019.0224Y5@45=225강박스거더교(STB)spepical typeWSF80, WSF100, WSF160<NA>T형교각식(T)역T형
199DBR1996-00044현충고가교(공단)대구광역시남구대명동<NA>DB-24/DL-2443.2120.0340.00.016.316.3224N3@40 = 120강박스거더교(STB)포트받침<NA>4.5T형교각식(T)역T형
200DBR1997-00053화랑교대구광역시동구효목2동<NA>DB-24/DL-2443.2275.01125.010.040.050.05510N11@25=275PC빔교(PC I)포트받침<NA><NA><NA>반중력식
201DBR2007-00105화천교대구광역시달성군화원읍본리리DB-24/DL-2443.2180.0360.03.822.025.8336Y3@60=180강박스거더교(STB)포트받침레일조인트4.5T형교각식(T)역T형
202DBR2003-00095황금고가교대구광역시수성구황금동<NA>DB-24/DL-2443.0240.0550.00.013.913.9224Y2@45+3@50=240강박스거더교(STB)포트받침레일조인트4.5ㅠ형교각역T형
203DBR1969-00001황금교(황청교)대구광역시수성구황금동<NA>DB-1832.419.836.60.00.020.0<NA><NA><NA><NA><NA>슬래브라멘교<NA>앵글조인트<NA><NA><NA>
204DBR1994-00038효목가도교대구광역시동구효목동<NA><NA><NA>28.39<NA><NA><NA><NA><NA><NA><NA><NA>N<NA>PSC거더탄성받침핑거조인트4.0<NA>역T형
205DBR1992-00027효목고가교대구광역시동구효목2동<NA>DB-24/DL-2443.2570.01450.00.015.515.5224N13@40+50=570강박스거더교(STB)포트받침강핑거조인트11.0T형교각식(T)역T형
206DBR2011-00142효목교대구광역시동구효목동<NA>DB-24<NA>35.0135.0<NA><NA>51.05510Y<NA>RCS탄성받침Road Seal6.0T형역T형
207DBR1993-00033희망교대구광역시남구이천동<NA>DB-24/DL-2443.2150.0722.08.024.532.5336N20+22+22+22+22+22+20=150RC중공슬래브교(RCH)고력황동받침판받침<NA>3.3라멘식(Ra)중력식