Overview

Dataset statistics

Number of variables28
Number of observations448
Missing cells1892
Missing cells (%)15.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory102.9 KiB
Average record size in memory235.3 B

Variable types

Text4
Categorical9
Numeric10
Boolean2
DateTime3

Alerts

허용통행하중 is highly imbalanced (82.4%)Imbalance
안전등급 is highly imbalanced (59.2%)Imbalance
사용제한구분 is highly imbalanced (97.7%)Imbalance
육교보수보강내역 is highly imbalanced (69.3%)Imbalance
최종안전점검유형 is highly imbalanced (97.7%)Imbalance
도로노선번호 has 211 (47.1%) missing valuesMissing
육교높이 has 169 (37.7%) missing valuesMissing
육교폭 has 52 (11.6%) missing valuesMissing
난간높이 has 334 (74.6%) missing valuesMissing
조명개수 has 400 (89.3%) missing valuesMissing
장애인편의시설수량 has 176 (39.3%) missing valuesMissing
부대시설수량 has 307 (68.5%) missing valuesMissing
육교준공일자 has 145 (32.4%) missing valuesMissing
내진설계적용여부 has 96 (21.4%) missing valuesMissing
통행제한높이 has 10 (2.2%) zerosZeros
조명개수 has 6 (1.3%) zerosZeros
장애인편의시설수량 has 44 (9.8%) zerosZeros
부대시설수량 has 59 (13.2%) zerosZeros

Reproduction

Analysis started2024-05-17 19:47:48.548177
Analysis finished2024-05-17 19:47:49.824046
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

육교명
Text

Distinct446
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-18T04:47:50.113843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length7.6674107
Min length3

Characters and Unicode

Total characters3435
Distinct characters309
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique444 ?
Unique (%)99.1%

Sample

1st row하이파크3육교
2nd row하이파크4육교
3rd row행신제1보도육교
4th row생태육교(밤일마을)
5th row서정4보도육교
ValueCountFrequency (%)
보도육교 69
 
10.5%
육교 49
 
7.4%
앞 38
 
5.8%
풍덕천 6
 
0.9%
청북지구 6
 
0.9%
보도육교(2 5
 
0.8%
보도육교(1 5
 
0.8%
보행육교 4
 
0.6%
고양관광문화단지 4
 
0.6%
옆 3
 
0.5%
Other values (456) 469
71.3%
2024-05-18T04:47:51.035347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 481
 
14.0%
육 429
 
12.5%
210
 
6.1%
도 204
 
5.9%
보 203
 
5.9%
앞 57
 
1.7%
( 51
 
1.5%
) 51
 
1.5%
1 47
 
1.4%
지 47
 
1.4%
Other values (299) 1655
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2947
85.8%
Space Separator 210
 
6.1%
Decimal Number 138
 
4.0%
Open Punctuation 51
 
1.5%
Close Punctuation 51
 
1.5%
Uppercase Letter 27
 
0.8%
Dash Punctuation 6
 
0.2%
Other Punctuation 3
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 481
 
16.3%
육 429
 
14.6%
도 204
 
6.9%
보 203
 
6.9%
앞 57
 
1.9%
지 47
 
1.6%
동 37
 
1.3%
사 37
 
1.3%
로 30
 
1.0%
리 29
 
1.0%
Other values (271) 1393
47.3%
Uppercase Letter
ValueCountFrequency (%)
C 5
18.5%
Y 4
14.8%
T 4
14.8%
E 3
11.1%
P 3
11.1%
I 3
11.1%
B 1
 
3.7%
L 1
 
3.7%
D 1
 
3.7%
H 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 47
34.1%
2 36
26.1%
3 20
14.5%
4 13
 
9.4%
5 6
 
4.3%
6 4
 
2.9%
8 4
 
2.9%
9 3
 
2.2%
0 3
 
2.2%
7 2
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
210
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2947
85.8%
Common 459
 
13.4%
Latin 29
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 481
 
16.3%
육 429
 
14.6%
도 204
 
6.9%
보 203
 
6.9%
앞 57
 
1.9%
지 47
 
1.6%
동 37
 
1.3%
사 37
 
1.3%
로 30
 
1.0%
리 29
 
1.0%
Other values (271) 1393
47.3%
Common
ValueCountFrequency (%)
210
45.8%
( 51
 
11.1%
) 51
 
11.1%
1 47
 
10.2%
2 36
 
7.8%
3 20
 
4.4%
4 13
 
2.8%
5 6
 
1.3%
- 6
 
1.3%
6 4
 
0.9%
Other values (5) 15
 
3.3%
Latin
ValueCountFrequency (%)
C 5
17.2%
Y 4
13.8%
T 4
13.8%
E 3
10.3%
P 3
10.3%
I 3
10.3%
B 1
 
3.4%
L 1
 
3.4%
D 1
 
3.4%
H 1
 
3.4%
Other values (3) 3
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2947
85.8%
ASCII 488
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 481
 
16.3%
육 429
 
14.6%
도 204
 
6.9%
보 203
 
6.9%
앞 57
 
1.9%
지 47
 
1.6%
동 37
 
1.3%
사 37
 
1.3%
로 30
 
1.0%
리 29
 
1.0%
Other values (271) 1393
47.3%
ASCII
ValueCountFrequency (%)
210
43.0%
( 51
 
10.5%
) 51
 
10.5%
1 47
 
9.6%
2 36
 
7.4%
3 20
 
4.1%
4 13
 
2.7%
5 6
 
1.2%
- 6
 
1.2%
C 5
 
1.0%
Other values (18) 43
 
8.8%

도로종류
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
시도
272 
기타
93 
일반국도
65 
지방도
 
17
고속국도
 
1

Length

Max length4
Median length2
Mean length2.3325893
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row기타
2nd row기타
3rd row시도
4th row시도
5th row시도

Common Values

ValueCountFrequency (%)
시도 272
60.7%
기타 93
 
20.8%
일반국도 65
 
14.5%
지방도 17
 
3.8%
고속국도 1
 
0.2%

Length

2024-05-18T04:47:51.497712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:47:51.877128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 272
60.7%
기타 93
 
20.8%
일반국도 65
 
14.5%
지방도 17
 
3.8%
고속국도 1
 
0.2%

도로노선번호
Text

MISSING 

Distinct106
Distinct (%)44.7%
Missing211
Missing (%)47.1%
Memory size3.6 KiB
2024-05-18T04:47:52.362731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.0126582
Min length1

Characters and Unicode

Total characters951
Distinct characters56
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

Unique65 ?
Unique (%)27.4%

Sample

1st row74번
2nd row대로 3-16
3rd row79번
4th row94번
5th row74번
ValueCountFrequency (%)
없음 18
 
7.1%
국도1호선 18
 
7.1%
1번 12
 
4.8%
대로 11
 
4.4%
23번 10
 
4.0%
71번 8
 
3.2%
43번 7
 
2.8%
39번 7
 
2.8%
42번 6
 
2.4%
74번 6
 
2.4%
Other values (101) 149
59.1%
2024-05-18T04:47:53.221961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 122
 
12.8%
번 84
 
8.8%
3 70
 
7.4%
선 65
 
6.8%
호 63
 
6.6%
2 60
 
6.3%
- 50
 
5.3%
로 49
 
5.2%
7 40
 
4.2%
도 38
 
4.0%
Other values (46) 310
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 470
49.4%
Decimal Number 416
43.7%
Dash Punctuation 50
 
5.3%
Space Separator 15
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 84
17.9%
선 65
13.8%
호 63
13.4%
로 49
10.4%
도 38
8.1%
대 27
 
5.7%
국 25
 
5.3%
없 18
 
3.8%
음 18
 
3.8%
중 12
 
2.6%
Other values (34) 71
15.1%
Decimal Number
ValueCountFrequency (%)
1 122
29.3%
3 70
16.8%
2 60
14.4%
7 40
 
9.6%
4 31
 
7.5%
9 23
 
5.5%
5 21
 
5.0%
6 18
 
4.3%
8 17
 
4.1%
0 14
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 481
50.6%
Hangul 470
49.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
번 84
17.9%
선 65
13.8%
호 63
13.4%
로 49
10.4%
도 38
8.1%
대 27
 
5.7%
국 25
 
5.3%
없 18
 
3.8%
음 18
 
3.8%
중 12
 
2.6%
Other values (34) 71
15.1%
Common
ValueCountFrequency (%)
1 122
25.4%
3 70
14.6%
2 60
12.5%
- 50
10.4%
7 40
 
8.3%
4 31
 
6.4%
9 23
 
4.8%
5 21
 
4.4%
6 18
 
3.7%
8 17
 
3.5%
Other values (2) 29
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 481
50.6%
Hangul 470
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 122
25.4%
3 70
14.6%
2 60
12.5%
- 50
10.4%
7 40
 
8.3%
4 31
 
6.4%
9 23
 
4.8%
5 21
 
4.4%
6 18
 
3.7%
8 17
 
3.5%
Other values (2) 29
 
6.0%
Hangul
ValueCountFrequency (%)
번 84
17.9%
선 65
13.8%
호 63
13.4%
로 49
10.4%
도 38
8.1%
대 27
 
5.7%
국 25
 
5.3%
없 18
 
3.8%
음 18
 
3.8%
중 12
 
2.6%
Other values (34) 71
15.1%

도로노선명
Text

Distinct248
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-18T04:47:53.870322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length3.9017857
Min length2

Characters and Unicode

Total characters1748
Distinct characters202
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

Unique150 ?
Unique (%)33.5%

Sample

1st row하이파크로
2nd row하이파크로
3rd row중앙로
4th row금하로
5th row충경로
ValueCountFrequency (%)
경충대로 16
 
3.6%
경기대로 11
 
2.4%
경수대로 9
 
2.0%
운중로 8
 
1.8%
덕영대로 8
 
1.8%
국도43호선 7
 
1.6%
중앙로 6
 
1.3%
정왕대로 5
 
1.1%
김포대로 5
 
1.1%
수인로 5
 
1.1%
Other values (238) 370
82.2%
2024-05-18T04:47:54.828465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 415
23.7%
대 94
 
5.4%
경 49
 
2.8%
안 32
 
1.8%
수 32
 
1.8%
중 31
 
1.8%
산 25
 
1.4%
정 24
 
1.4%
서 23
 
1.3%
천 23
 
1.3%
Other values (192) 1000
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1682
96.2%
Decimal Number 60
 
3.4%
Math Symbol 4
 
0.2%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 415
24.7%
대 94
 
5.6%
경 49
 
2.9%
안 32
 
1.9%
수 32
 
1.9%
중 31
 
1.8%
산 25
 
1.5%
정 24
 
1.4%
서 23
 
1.4%
천 23
 
1.4%
Other values (182) 934
55.5%
Decimal Number
ValueCountFrequency (%)
3 20
33.3%
1 17
28.3%
4 12
20.0%
7 3
 
5.0%
2 3
 
5.0%
5 2
 
3.3%
6 2
 
3.3%
8 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1682
96.2%
Common 66
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 415
24.7%
대 94
 
5.6%
경 49
 
2.9%
안 32
 
1.9%
수 32
 
1.9%
중 31
 
1.8%
산 25
 
1.5%
정 24
 
1.4%
서 23
 
1.4%
천 23
 
1.4%
Other values (182) 934
55.5%
Common
ValueCountFrequency (%)
3 20
30.3%
1 17
25.8%
4 12
18.2%
~ 4
 
6.1%
7 3
 
4.5%
2 3
 
4.5%
5 2
 
3.0%
6 2
 
3.0%
2
 
3.0%
8 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1682
96.2%
ASCII 66
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 415
24.7%
대 94
 
5.6%
경 49
 
2.9%
안 32
 
1.9%
수 32
 
1.9%
중 31
 
1.8%
산 25
 
1.5%
정 24
 
1.4%
서 23
 
1.4%
천 23
 
1.4%
Other values (182) 934
55.5%
ASCII
ValueCountFrequency (%)
3 20
30.3%
1 17
25.8%
4 12
18.2%
~ 4
 
6.1%
7 3
 
4.5%
2 3
 
4.5%
5 2
 
3.0%
6 2
 
3.0%
2
 
3.0%
8 1
 
1.5%

소재지도로명주소
Text

Distinct394
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-05-18T04:47:55.324708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length32
Mean length18.408482
Min length11

Characters and Unicode

Total characters8247
Distinct characters225
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

Unique361 ?
Unique (%)80.6%

Sample

1st row경기도 고양시 일산서구 하이파크3로 61
2nd row경기도 고양시 일산서구 하이파크3로 62
3rd row경기도 고양시 덕양구 중앙로 557번길 7-23
4th row경기도 광명시 금하로
5th row경기도 고양시 덕양구 충경로 156, 1088 (행신동, 서정마을5단지아파트)
ValueCountFrequency (%)
경기도 447
 
22.4%
고양시 62
 
3.1%
수원시 46
 
2.3%
성남시 37
 
1.9%
분당구 32
 
1.6%
안산시 27
 
1.4%
안양시 27
 
1.4%
일산동구 27
 
1.4%
평택시 23
 
1.2%
일산서구 22
 
1.1%
Other values (610) 1245
62.4%
2024-05-18T04:47:56.725703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1547
18.8%
경 484
 
5.9%
시 474
 
5.7%
기 462
 
5.6%
도 456
 
5.5%
로 430
 
5.2%
1 242
 
2.9%
구 240
 
2.9%
3 157
 
1.9%
2 144
 
1.7%
Other values (215) 3611
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5456
66.2%
Space Separator 1547
 
18.8%
Decimal Number 1152
 
14.0%
Dash Punctuation 54
 
0.7%
Other Punctuation 14
 
0.2%
Close Punctuation 12
 
0.1%
Open Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 484
 
8.9%
시 474
 
8.7%
기 462
 
8.5%
도 456
 
8.4%
로 430
 
7.9%
구 240
 
4.4%
양 143
 
2.6%
안 121
 
2.2%
산 116
 
2.1%
동 95
 
1.7%
Other values (200) 2435
44.6%
Decimal Number
ValueCountFrequency (%)
1 242
21.0%
3 157
13.6%
2 144
12.5%
4 111
9.6%
7 98
8.5%
5 96
 
8.3%
0 93
 
8.1%
6 89
 
7.7%
8 69
 
6.0%
9 53
 
4.6%
Space Separator
ValueCountFrequency (%)
1547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5456
66.2%
Common 2791
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 484
 
8.9%
시 474
 
8.7%
기 462
 
8.5%
도 456
 
8.4%
로 430
 
7.9%
구 240
 
4.4%
양 143
 
2.6%
안 121
 
2.2%
산 116
 
2.1%
동 95
 
1.7%
Other values (200) 2435
44.6%
Common
ValueCountFrequency (%)
1547
55.4%
1 242
 
8.7%
3 157
 
5.6%
2 144
 
5.2%
4 111
 
4.0%
7 98
 
3.5%
5 96
 
3.4%
0 93
 
3.3%
6 89
 
3.2%
8 69
 
2.5%
Other values (5) 145
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5456
66.2%
ASCII 2791
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1547
55.4%
1 242
 
8.7%
3 157
 
5.6%
2 144
 
5.2%
4 111
 
4.0%
7 98
 
3.5%
5 96
 
3.4%
0 93
 
3.3%
6 89
 
3.2%
8 69
 
2.5%
Other values (5) 145
 
5.2%
Hangul
ValueCountFrequency (%)
경 484
 
8.9%
시 474
 
8.7%
기 462
 
8.5%
도 456
 
8.4%
로 430
 
7.9%
구 240
 
4.4%
양 143
 
2.6%
안 121
 
2.2%
산 116
 
2.1%
동 95
 
1.7%
Other values (200) 2435
44.6%

위도
Real number (ℝ)

Distinct435
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.406596
Minimum36.963464
Maximum37.843418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:47:57.418633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.963464
5-th percentile37.063689
Q137.287111
median37.38486
Q337.561787
95-th percentile37.701696
Maximum37.843418
Range0.87995398
Interquartile range (IQR)0.27467555

Descriptive statistics

Standard deviation0.188638
Coefficient of variation (CV)0.0050429074
Kurtosis-0.55995965
Mean37.406596
Median Absolute Deviation (MAD)0.11620514
Skewness0.0040677642
Sum16758.155
Variance0.035584294
MonotonicityNot monotonic
2024-05-18T04:47:58.013263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.65948674 3
 
0.7%
37.5511015 2
 
0.4%
37.2474081472 2
 
0.4%
37.6625476 2
 
0.4%
37.30210932 2
 
0.4%
37.6389349 2
 
0.4%
37.51157254 2
 
0.4%
37.65490653 2
 
0.4%
37.4445047813 2
 
0.4%
37.50244089 2
 
0.4%
Other values (425) 427
95.3%
ValueCountFrequency (%)
36.96346402 1
0.2%
36.989943 1
0.2%
36.992126 1
0.2%
36.994239 1
0.2%
36.997383 1
0.2%
36.998525 1
0.2%
36.998693 1
0.2%
36.998976 1
0.2%
37.00138 1
0.2%
37.00301358 1
0.2%
ValueCountFrequency (%)
37.843418 1
0.2%
37.761237 1
0.2%
37.760358 1
0.2%
37.754515 1
0.2%
37.7515966 1
0.2%
37.73655096 1
0.2%
37.731742 1
0.2%
37.72960264 1
0.2%
37.7295354 1
0.2%
37.7294968 1
0.2%

경도
Real number (ℝ)

Distinct434
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.96801
Minimum126.59026
Maximum127.75508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:47:58.647821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59026
5-th percentile126.7243
Q1126.81484
median126.95539
Q3127.09012
95-th percentile127.24906
Maximum127.75508
Range1.1648247
Interquartile range (IQR)0.27528947

Descriptive statistics

Standard deviation0.18779148
Coefficient of variation (CV)0.0014790456
Kurtosis1.231111
Mean126.96801
Median Absolute Deviation (MAD)0.13820625
Skewness0.75833386
Sum56881.668
Variance0.03526564
MonotonicityNot monotonic
2024-05-18T04:47:59.212463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7726989 3
 
0.7%
127.2096552 2
 
0.4%
127.04046631 2
 
0.4%
126.633914 2
 
0.4%
126.8300775 2
 
0.4%
126.636186 2
 
0.4%
126.7991983 2
 
0.4%
126.7530474 2
 
0.4%
126.7715403 2
 
0.4%
126.7810526295 2
 
0.4%
Other values (424) 427
95.3%
ValueCountFrequency (%)
126.590259 1
0.2%
126.590619 1
0.2%
126.6285925 1
0.2%
126.6301633 1
0.2%
126.6306603 1
0.2%
126.631322 1
0.2%
126.633914 2
0.4%
126.6347321 1
0.2%
126.636186 2
0.4%
126.656937 1
0.2%
ValueCountFrequency (%)
127.7550837 1
0.2%
127.645893 1
0.2%
127.637752 1
0.2%
127.637736 1
0.2%
127.612584 1
0.2%
127.4972236 1
0.2%
127.4948977 1
0.2%
127.4911801 1
0.2%
127.4770612 1
0.2%
127.4548778 1
0.2%

육교연장
Real number (ℝ)

Distinct222
Distinct (%)49.8%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean56.60917
Minimum14.5
Maximum693.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:47:59.625408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.5
5-th percentile24.7
Q134.3
median45
Q364.775
95-th percentile123.25
Maximum693.6
Range679.1
Interquartile range (IQR)30.475

Descriptive statistics

Standard deviation44.584164
Coefficient of variation (CV)0.78757848
Kurtosis95.112069
Mean56.60917
Median Absolute Deviation (MAD)13
Skewness7.4565431
Sum25247.69
Variance1987.7477
MonotonicityNot monotonic
2024-05-18T04:48:00.141270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.0 15
 
3.3%
45.0 15
 
3.3%
50.0 10
 
2.2%
46.0 10
 
2.2%
44.0 10
 
2.2%
34.0 10
 
2.2%
40.0 10
 
2.2%
30.0 10
 
2.2%
28.0 9
 
2.0%
33.0 9
 
2.0%
Other values (212) 338
75.4%
ValueCountFrequency (%)
14.5 1
 
0.2%
15.0 4
0.9%
16.5 1
 
0.2%
17.0 1
 
0.2%
18.5 1
 
0.2%
20.0 1
 
0.2%
20.5 1
 
0.2%
20.8 1
 
0.2%
21.0 2
0.4%
23.0 2
0.4%
ValueCountFrequency (%)
693.6 1
0.2%
272.8 1
0.2%
236.0 1
0.2%
234.0 1
0.2%
184.0 1
0.2%
163.2 1
0.2%
150.0 2
0.4%
146.0 1
0.2%
142.0 1
0.2%
137.1 2
0.4%

육교높이
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)34.1%
Missing169
Missing (%)37.7%
Infinite0
Infinite (%)0.0%
Mean15.741254
Minimum0.6
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:48:00.624479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile3.96
Q15
median5.3
Q36.75
95-th percentile63.6
Maximum150
Range149.4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation25.224505
Coefficient of variation (CV)1.6024457
Kurtosis8.5964026
Mean15.741254
Median Absolute Deviation (MAD)0.7
Skewness2.8630109
Sum4391.81
Variance636.27567
MonotonicityNot monotonic
2024-05-18T04:48:01.079160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0 65
 
14.5%
4.5 40
 
8.9%
5.5 38
 
8.5%
6.0 14
 
3.1%
5.3 5
 
1.1%
5.2 5
 
1.1%
6.5 4
 
0.9%
4.8 4
 
0.9%
1.0 3
 
0.7%
21.0 3
 
0.7%
Other values (85) 98
21.9%
(Missing) 169
37.7%
ValueCountFrequency (%)
0.6 1
 
0.2%
0.8 1
 
0.2%
1.0 3
0.7%
1.1 1
 
0.2%
1.2 1
 
0.2%
1.3 1
 
0.2%
1.6 2
0.4%
1.8 1
 
0.2%
3.0 1
 
0.2%
3.5 1
 
0.2%
ValueCountFrequency (%)
150.0 1
0.2%
130.0 1
0.2%
125.0 1
0.2%
121.0 1
0.2%
119.3 1
0.2%
116.0 1
0.2%
111.0 1
0.2%
96.6 1
0.2%
92.0 1
0.2%
88.8 1
0.2%

허용통행하중
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
426 
3.5
 
12
5.0
 
7
15.0
 
3

Length

Max length4
Median length4
Mean length3.9575893
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 426
95.1%
3.5 12
 
2.7%
5.0 7
 
1.6%
15.0 3
 
0.7%

Length

2024-05-18T04:48:01.498562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:48:01.835588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 426
95.1%
3.5 12
 
2.7%
5.0 7
 
1.6%
15.0 3
 
0.7%

통행제한높이
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7147321
Minimum0
Maximum8.5
Zeros10
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:48:02.181597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q14.5
median4.5
Q35
95-th percentile6.8
Maximum8.5
Range8.5
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.01064
Coefficient of variation (CV)0.21435788
Kurtosis10.663695
Mean4.7147321
Median Absolute Deviation (MAD)0.3
Skewness-1.4771179
Sum2112.2
Variance1.0213932
MonotonicityNot monotonic
2024-05-18T04:48:02.692010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
4.5 190
42.4%
5.0 108
24.1%
4.8 32
 
7.1%
7.0 18
 
4.0%
4.0 17
 
3.8%
4.7 11
 
2.5%
0.0 10
 
2.2%
5.1 10
 
2.2%
5.5 8
 
1.8%
4.3 7
 
1.6%
Other values (10) 37
 
8.3%
ValueCountFrequency (%)
0.0 10
 
2.2%
2.5 5
 
1.1%
3.0 2
 
0.4%
4.0 17
 
3.8%
4.3 7
 
1.6%
4.5 190
42.4%
4.6 4
 
0.9%
4.7 11
 
2.5%
4.8 32
 
7.1%
4.9 5
 
1.1%
ValueCountFrequency (%)
8.5 2
 
0.4%
8.0 2
 
0.4%
7.0 18
 
4.0%
6.8 3
 
0.7%
6.0 6
 
1.3%
5.5 8
 
1.8%
5.4 2
 
0.4%
5.2 6
 
1.3%
5.1 10
 
2.2%
5.0 108
24.1%

육교폭
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)13.4%
Missing52
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean4.7219697
Minimum1.5
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:48:03.082845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile3
Q13.8
median4
Q35
95-th percentile8
Maximum35
Range33.5
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation2.7294358
Coefficient of variation (CV)0.57802908
Kurtosis60.211362
Mean4.7219697
Median Absolute Deviation (MAD)0.6
Skewness6.5652401
Sum1869.9
Variance7.4498199
MonotonicityNot monotonic
2024-05-18T04:48:03.542407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0 127
28.3%
3.0 41
 
9.2%
5.0 37
 
8.3%
4.5 27
 
6.0%
6.0 20
 
4.5%
3.5 19
 
4.2%
5.4 18
 
4.0%
5.5 9
 
2.0%
2.5 7
 
1.6%
7.9 7
 
1.6%
Other values (43) 84
18.8%
(Missing) 52
11.6%
ValueCountFrequency (%)
1.5 1
 
0.2%
2.0 3
 
0.7%
2.2 1
 
0.2%
2.3 3
 
0.7%
2.4 1
 
0.2%
2.5 7
 
1.6%
2.6 1
 
0.2%
2.8 2
 
0.4%
3.0 41
9.2%
3.1 1
 
0.2%
ValueCountFrequency (%)
35.0 1
 
0.2%
30.3 1
 
0.2%
20.0 1
 
0.2%
16.0 1
 
0.2%
15.0 1
 
0.2%
13.2 1
 
0.2%
12.0 1
 
0.2%
10.0 2
0.4%
9.2 4
0.9%
9.0 3
0.7%

난간높이
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)12.3%
Missing334
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean1.2575439
Minimum1
Maximum2.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:48:03.954653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.1
median1.2
Q31.5
95-th percentile1.898
Maximum2.3
Range1.3
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.26301035
Coefficient of variation (CV)0.20914607
Kurtosis2.7015694
Mean1.2575439
Median Absolute Deviation (MAD)0.1
Skewness1.5866014
Sum143.36
Variance0.069174445
MonotonicityNot monotonic
2024-05-18T04:48:04.358695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.1 27
 
6.0%
1.2 26
 
5.8%
1.5 22
 
4.9%
1.0 21
 
4.7%
2.0 4
 
0.9%
1.3 4
 
0.9%
1.4 3
 
0.7%
1.95 1
 
0.2%
1.57 1
 
0.2%
1.17 1
 
0.2%
Other values (4) 4
 
0.9%
(Missing) 334
74.6%
ValueCountFrequency (%)
1.0 21
4.7%
1.05 1
 
0.2%
1.1 27
6.0%
1.15 1
 
0.2%
1.17 1
 
0.2%
1.2 26
5.8%
1.3 4
 
0.9%
1.4 3
 
0.7%
1.5 22
4.9%
1.57 1
 
0.2%
ValueCountFrequency (%)
2.3 1
 
0.2%
2.0 4
 
0.9%
1.95 1
 
0.2%
1.87 1
 
0.2%
1.57 1
 
0.2%
1.5 22
4.9%
1.4 3
 
0.7%
1.3 4
 
0.9%
1.2 26
5.8%
1.17 1
 
0.2%

조명개수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)43.8%
Missing400
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean29.145833
Minimum0
Maximum398
Zeros6
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:48:04.720415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median7
Q313.25
95-th percentile140.65
Maximum398
Range398
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation67.886949
Coefficient of variation (CV)2.3292163
Kurtosis19.115761
Mean29.145833
Median Absolute Deviation (MAD)5
Skewness4.0733246
Sum1399
Variance4608.6379
MonotonicityNot monotonic
2024-05-18T04:48:05.139846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4 8
 
1.8%
0 6
 
1.3%
2 4
 
0.9%
10 4
 
0.9%
12 3
 
0.7%
7 3
 
0.7%
6 3
 
0.7%
8 3
 
0.7%
52 2
 
0.4%
18 1
 
0.2%
Other values (11) 11
 
2.5%
(Missing) 400
89.3%
ValueCountFrequency (%)
0 6
1.3%
2 4
0.9%
4 8
1.8%
5 1
 
0.2%
6 3
 
0.7%
7 3
 
0.7%
8 3
 
0.7%
9 1
 
0.2%
10 4
0.9%
12 3
 
0.7%
ValueCountFrequency (%)
398 1
0.2%
194 1
0.2%
141 1
0.2%
140 1
0.2%
107 1
0.2%
52 2
0.4%
44 1
0.2%
22 1
0.2%
21 1
0.2%
18 1
0.2%

장애인편의시설설치여부
Boolean

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
True
352 
False
96 
ValueCountFrequency (%)
True 352
78.6%
False 96
 
21.4%
2024-05-18T04:48:05.514626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

장애인편의시설종류
Categorical

Distinct18
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
경사로
134 
없음
96 
엘리베이터
88 
승강기
49 
점자블럭+경사로
19 
Other values (13)
62 

Length

Max length14
Median length12
Mean length4.1875
Min length2

Unique

Unique5 ?
Unique (%)1.1%

Sample

1st row경사로+엘리베이터
2nd row경사로+엘리베이터
3rd row경사로
4th row없음
5th row경사로

Common Values

ValueCountFrequency (%)
경사로 134
29.9%
없음 96
21.4%
엘리베이터 88
19.6%
승강기 49
 
10.9%
점자블럭+경사로 19
 
4.2%
경사로+엘리베이터 16
 
3.6%
엘리베이터+경사로 16
 
3.6%
점자블럭+엘리베이터 8
 
1.8%
승강기점자블럭 6
 
1.3%
승강기+경사로 5
 
1.1%
Other values (8) 11
 
2.5%

Length

2024-05-18T04:48:05.904248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경사로 135
30.1%
없음 96
21.4%
엘리베이터 89
19.8%
승강기 49
 
10.9%
점자블럭+경사로 19
 
4.2%
경사로+엘리베이터 16
 
3.6%
엘리베이터+경사로 16
 
3.6%
점자블럭+엘리베이터 8
 
1.8%
승강기점자블럭 6
 
1.3%
승강기+경사로 5
 
1.1%
Other values (7) 10
 
2.2%

장애인편의시설수량
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)2.2%
Missing176
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean1.5257353
Minimum0
Maximum7
Zeros44
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:48:06.233997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.98291654
Coefficient of variation (CV)0.64422481
Kurtosis6.1507336
Mean1.5257353
Median Absolute Deviation (MAD)0
Skewness1.0903351
Sum415
Variance0.96612492
MonotonicityNot monotonic
2024-05-18T04:48:06.560870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 144
32.1%
1 69
 
15.4%
0 44
 
9.8%
3 8
 
1.8%
4 5
 
1.1%
7 2
 
0.4%
(Missing) 176
39.3%
ValueCountFrequency (%)
0 44
 
9.8%
1 69
15.4%
2 144
32.1%
3 8
 
1.8%
4 5
 
1.1%
7 2
 
0.4%
ValueCountFrequency (%)
7 2
 
0.4%
4 5
 
1.1%
3 8
 
1.8%
2 144
32.1%
1 69
15.4%
0 44
 
9.8%

부대시설종류
Categorical

Distinct9
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
222 
없음
140 
엘리베이터
50 
캐노피
 
11
엘리베이터+캐노피
 
8
Other values (4)
 
17

Length

Max length11
Median length9
Mean length3.6785714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 222
49.6%
없음 140
31.2%
엘리베이터 50
 
11.2%
캐노피 11
 
2.5%
엘리베이터+캐노피 8
 
1.8%
엘리베이터+케노피 7
 
1.6%
캐노피+엘리베이터 4
 
0.9%
0 4
 
0.9%
엘리베이터 + 캐노피 2
 
0.4%

Length

2024-05-18T04:48:07.060261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:48:07.415187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
49.1%
없음 140
31.0%
엘리베이터 52
 
11.5%
캐노피 13
 
2.9%
엘리베이터+캐노피 8
 
1.8%
엘리베이터+케노피 7
 
1.5%
캐노피+엘리베이터 4
 
0.9%
0 4
 
0.9%
2
 
0.4%

부대시설수량
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)5.7%
Missing307
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean1.248227
Minimum0
Maximum14
Zeros59
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-05-18T04:48:07.772223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6824983
Coefficient of variation (CV)1.3479105
Kurtosis23.409281
Mean1.248227
Median Absolute Deviation (MAD)1
Skewness3.6628397
Sum176
Variance2.8308004
MonotonicityNot monotonic
2024-05-18T04:48:08.091364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 59
 
13.2%
2 36
 
8.0%
1 28
 
6.2%
3 12
 
2.7%
5 3
 
0.7%
7 1
 
0.2%
4 1
 
0.2%
14 1
 
0.2%
(Missing) 307
68.5%
ValueCountFrequency (%)
0 59
13.2%
1 28
6.2%
2 36
8.0%
3 12
 
2.7%
4 1
 
0.2%
5 3
 
0.7%
7 1
 
0.2%
14 1
 
0.2%
ValueCountFrequency (%)
14 1
 
0.2%
7 1
 
0.2%
5 3
 
0.7%
4 1
 
0.2%
3 12
 
2.7%
2 36
8.0%
1 28
6.2%
0 59
13.2%

육교준공일자
Date

MISSING 

Distinct157
Distinct (%)51.8%
Missing145
Missing (%)32.4%
Memory size3.6 KiB
Minimum1987-12-31 00:00:00
Maximum2023-01-01 00:00:00
2024-05-18T04:48:08.555190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:48:08.942451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

내진설계적용여부
Boolean

MISSING 

Distinct2
Distinct (%)0.6%
Missing96
Missing (%)21.4%
Memory size1.0 KiB
False
221 
True
131 
(Missing)
96 
ValueCountFrequency (%)
False 221
49.3%
True 131
29.2%
(Missing) 96
21.4%
2024-05-18T04:48:09.301131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안전등급
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
양호
333 
보통
106 
우수
 
6
미흡
 
2
불량
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
양호 333
74.3%
보통 106
 
23.7%
우수 6
 
1.3%
미흡 2
 
0.4%
불량 1
 
0.2%

Length

2024-05-18T04:48:09.622415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:48:09.947016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양호 333
74.3%
보통 106
 
23.7%
우수 6
 
1.3%
미흡 2
 
0.4%
불량 1
 
0.2%

사용제한구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
제한없음
447 
사용제한
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
제한없음 447
99.8%
사용제한 1
 
0.2%

Length

2024-05-18T04:48:10.336641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:48:10.656096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한없음 447
99.8%
사용제한 1
 
0.2%

육교보수보강내역
Categorical

IMBALANCE 

Distinct37
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
351 
N
37 
바닥재 교체
 
7
전체 도장보수+ 비가림시설설치
 
5
세척
 
4
Other values (32)
44 

Length

Max length24
Median length4
Mean length4.2834821
Min length1

Unique

Unique25 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 351
78.3%
N 37
 
8.3%
바닥재 교체 7
 
1.6%
전체 도장보수+ 비가림시설설치 5
 
1.1%
세척 4
 
0.9%
없음 4
 
0.9%
계단판석 보수 3
 
0.7%
도장보수 3
 
0.7%
해당없음 3
 
0.7%
바닥 상판 정비 2
 
0.4%
Other values (27) 29
 
6.5%

Length

2024-05-18T04:48:11.030066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 351
69.4%
n 37
 
7.3%
교체 13
 
2.6%
도장보수 10
 
2.0%
바닥재 7
 
1.4%
비가림시설설치 6
 
1.2%
보수 6
 
1.2%
전체 6
 
1.2%
세척 4
 
0.8%
없음 4
 
0.8%
Other values (43) 62
 
12.3%

최종안전점검유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
정기점검
447 
정밀점검
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
정기점검 447
99.8%
정밀점검 1
 
0.2%

Length

2024-05-18T04:48:11.420334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T04:48:11.661749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기점검 447
99.8%
정밀점검 1
 
0.2%

최종안전점검일자
Date

Distinct32
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2019-04-12 00:00:00
Maximum2023-12-31 00:00:00
2024-05-18T04:48:11.981722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:48:12.334636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

관리기관명
Categorical

Distinct34
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
경기도 고양시청
62 
경기도 성남시 분당구청
33 
경기도 안양시 동안구청 건설과
 
27
경기도 안산시 상록구청
 
23
경기도 평택시
 
23
Other values (29)
280 

Length

Max length18
Median length17
Mean length10.352679
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row경기도 고양시청
2nd row경기도 고양시청
3rd row경기도 고양시청
4th row경기도 광명시청
5th row경기도 고양시청

Common Values

ValueCountFrequency (%)
경기도 고양시청 62
 
13.8%
경기도 성남시 분당구청 33
 
7.4%
경기도 안양시 동안구청 건설과 27
 
6.0%
경기도 안산시 상록구청 23
 
5.1%
경기도 평택시 23
 
5.1%
경기도 화성시 21
 
4.7%
경기도 수원시 권선구청 20
 
4.5%
경기도 용인시 수지구청 건설도로과 19
 
4.2%
경기도 시흥시청 19
 
4.2%
경기도 하남시청 18
 
4.0%
Other values (24) 183
40.8%

Length

2024-05-18T04:48:12.782761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 447
39.0%
고양시청 62
 
5.4%
수원시 46
 
4.0%
성남시 37
 
3.2%
분당구청 33
 
2.9%
안양시 27
 
2.4%
동안구청 27
 
2.4%
건설과 27
 
2.4%
안산시 27
 
2.4%
상록구청 23
 
2.0%
Other values (34) 389
34.0%

데이터기준일자
Date

Distinct22
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2022-11-11 00:00:00
Maximum2024-01-11 00:00:00
2024-05-18T04:48:13.157622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T04:48:13.544933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

Sample

육교명도로종류도로노선번호도로노선명소재지도로명주소위도경도육교연장육교높이허용통행하중통행제한높이육교폭난간높이조명개수장애인편의시설설치여부장애인편의시설종류장애인편의시설수량부대시설종류부대시설수량육교준공일자내진설계적용여부안전등급사용제한구분육교보수보강내역최종안전점검유형최종안전점검일자관리기관명데이터기준일자
0하이파크3육교기타<NA>하이파크로경기도 고양시 일산서구 하이파크3로 6137.697474126.752317111.0111.0<NA>4.59.2<NA><NA>Y경사로+엘리베이터2엘리베이터12012-03-31N양호제한없음<NA>정기점검2022-06-17경기도 고양시청2023-09-22
1하이파크4육교기타<NA>하이파크로경기도 고양시 일산서구 하이파크3로 6237.698111126.755553116.0116.0<NA>4.59.2<NA><NA>Y경사로+엘리베이터2엘리베이터12012-03-31N양호제한없음교대 데크교체정기점검2022-06-17경기도 고양시청2023-09-22
2행신제1보도육교시도74번중앙로경기도 고양시 덕양구 중앙로 557번길 7-2337.622471126.8360759.020.0<NA>4.53.3<NA><NA>Y경사로1없음<NA>1995-01-01N양호제한없음<NA>정기점검2022-06-15경기도 고양시청2023-09-22
3생태육교(밤일마을)시도대로 3-16금하로경기도 광명시 금하로37.453215126.85685128.513.5<NA>4.035.0<NA><NA>N없음<NA><NA><NA><NA>Y양호제한없음<NA>정기점검2022-06-02경기도 광명시청2022-11-11
4서정4보도육교시도79번충경로경기도 고양시 덕양구 충경로 156, 1088 (행신동, 서정마을5단지아파트)37.616625126.84695553.853.8<NA>4.56.0<NA><NA>Y경사로1없음<NA>2008-01-01N양호제한없음세척정기점검2022-06-15경기도 고양시청2023-09-22
5성라육교시도94번어울림로경기도 고양시 덕양구 어울림로 3337.649056126.835368130.0130.0<NA>5.24.0<NA><NA>N없음<NA>없음<NA>2003-01-01N양호제한없음<NA>정기점검2022-06-15경기도 고양시청2023-09-22
6아람누리육교(샵7)시도74번중앙로경기도 고양시 일산동구 중앙로 1271-137.659487126.772699126.841.0<NA>4.57.9<NA><NA>Y경사로1없음<NA>1994-07-01N양호제한없음도면보수+ 도장보수정기점검2022-05-16경기도 고양시청2023-09-22
7안곡육교기타<NA>중산로경기도 고양시 일산동구 중산로 147-137.685252126.780825150.0150.0<NA>4.54.9<NA><NA>Y경사로1없음<NA>2006-05-29N양호제한없음<NA>정기점검2022-05-16경기도 고양시청2023-09-22
8웨스턴돔육교시도62번정발산로경기도 고양시 일산동구 정발산로 2437.655896126.77203962.062.0<NA>4.55.4<NA><NA>Y경사로+ 엘리베이터2엘리베이터12007-06-09N양호제한없음단면복구+ 바닥재포장정기점검2022-05-16경기도 고양시청2023-09-22
9위시티1육교기타<NA>식사로경기도 고양시 일산동구 식사로 13837.678036126.819473119.3119.3<NA>4.55.4<NA><NA>Y엘리베이터1엘리베이터12012-03-31N양호제한없음목재데크보수정기점검2022-05-16경기도 고양시청2023-09-22
육교명도로종류도로노선번호도로노선명소재지도로명주소위도경도육교연장육교높이허용통행하중통행제한높이육교폭난간높이조명개수장애인편의시설설치여부장애인편의시설종류장애인편의시설수량부대시설종류부대시설수량육교준공일자내진설계적용여부안전등급사용제한구분육교보수보강내역최종안전점검유형최종안전점검일자관리기관명데이터기준일자
438별내2육교(신일 유토빌 앞 육교)시도대로2-3호선순화궁로경기도 남양주시 별내4로 2537.646628127.11425438.05.0<NA>5.0<NA><NA><NA>Y점자블럭+경사로<NA><NA><NA><NA>Y양호제한없음<NA>정기점검2023-12-31경기도 남양주시청2023-05-19
439진접지구보도육교1.2(풍양육교)시도대로2-1호선해밀예당1로경기도 남양주시 진접읍 해밀예당1로 10937.718846127.19101746.05.9<NA>5.0<NA><NA><NA>Y점자블럭+엘리베이터<NA><NA><NA><NA>N양호제한없음<NA>정기점검2023-12-31경기도 남양주시청2023-05-19
4404단지 보도육교시도<NA>번영로경기도 군포시 번영로 38237.349452126.92596728.1<NA><NA>4.54.0<NA><NA>N없음0엘리베이터21996-01-01N보통제한없음<NA>정기점검2023-06-07경기도 군포시청2023-07-19
441당동 보도육교시도<NA>고산로경기도 군포시 용호1로 5537.347872126.93962341.0<NA><NA>4.54.0<NA><NA>Y경사로3캐노피142005-01-01N보통제한없음<NA>정기점검2023-06-07경기도 군포시청2023-07-19
442삼성보도육교시도<NA>삼성로경기도 군포시 삼성로 4137.338584126.93164732.0<NA><NA>5.05.0<NA><NA>Y경사로2캐노피32014-01-01Y보통제한없음<NA>정기점검2023-06-07경기도 군포시청2023-07-19
443호계3동주민센터 앞 육교일반국도국도1호선경수대로경기도 안양시 동안구 경수대로 50437.367685126.95879145.65.0<NA>4.34.01.1<NA>Y승강기1<NA><NA>2004-02-08N양호제한없음<NA>정기점검2019-04-12경기도 안양시 동안구청 건설과2023-11-15
444샘모루초교 앞 육교지방도국지도57호선관악대로경기도 안양시 동안구 관악대로 13337.399421126.93866540.45.0<NA>4.74.01.1<NA>Y승강기1<NA><NA>2003-12-05N양호제한없음<NA>정기점검2019-04-12경기도 안양시 동안구청 건설과2023-11-15
445신촌동주민센터 앞 육교시도없음동안로경기도 안양시 동안구 동안로 2837.381803126.95630584.05.5<NA>5.54.01.1<NA>Y경사로1<NA><NA>1997-05-16N양호제한없음<NA>정기점검2019-04-12경기도 안양시 동안구청 건설과2023-11-15
446지상경사로17시도74번중앙로경기도 고양시 일산서구 중앙로 1388 (주엽동, 강선마을11단지아파트)37.66835126.76568194.515.8<NA>4.54.4<NA><NA>Y경사로1없음<NA>1997-05-03Y보통제한없음탄성포장정기점검2022-06-17경기도 고양시청2023-09-22
447킨텍스 보도육교시도100번킨텍스로경기도 고양시 일산서구 킨텍스로 217-5937.664649126.74206488.888.8<NA>4.54.5<NA><NA>Y경사로+엘리베이터2엘리베이터12019-12-31N양호제한없음<NA>정기점검2022-06-17경기도 고양시청2023-09-22