Overview

Dataset statistics

Number of variables15
Number of observations10000
Missing cells6841
Missing cells (%)4.6%
Duplicate rows2521
Duplicate rows (%)25.2%
Total size in memory1.2 MiB
Average record size in memory131.0 B

Variable types

Categorical5
Text7
Numeric3

Alerts

Dataset has 2521 (25.2%) duplicate rowsDuplicates
시설물구분 is highly overall correlated with 시설물종류High correlation
시설물종류 is highly overall correlated with 시설물구분High correlation
최근점검진단일 is highly overall correlated with 차기점검진단일High correlation
차기점검진단일 is highly overall correlated with 최근점검진단일High correlation
전경사진 has 3234 (32.3%) missing valuesMissing
정,측면 기타사진 has 3598 (36.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:13:16.459284
Analysis finished2023-12-10 23:13:20.132153
Duration3.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고양시
700 
화성시
695 
용인시
 
661
남양주시
 
586
평택시
 
480
Other values (27)
6878 

Length

Max length4
Median length3
Mean length3.0927
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성시
2nd row군포시
3rd row군포시
4th row시흥시
5th row포천시

Common Values

ValueCountFrequency (%)
고양시 700
 
7.0%
화성시 695
 
7.0%
용인시 661
 
6.6%
남양주시 586
 
5.9%
평택시 480
 
4.8%
성남시 465
 
4.7%
안성시 435
 
4.3%
파주시 427
 
4.3%
시흥시 421
 
4.2%
광주시 396
 
4.0%
Other values (22) 4734
47.3%

Length

2023-12-11T08:13:20.213029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 700
 
7.0%
화성시 695
 
7.0%
용인시 661
 
6.6%
남양주시 586
 
5.9%
평택시 480
 
4.8%
성남시 465
 
4.7%
안성시 435
 
4.3%
파주시 427
 
4.3%
시흥시 421
 
4.2%
광주시 396
 
4.0%
Other values (22) 4734
47.3%

시설물번호
Text

Distinct2704
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:13:20.459276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters140000
Distinct characters20
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

Unique183 ?
Unique (%)1.8%

Sample

1st rowBR2009-0000177
2nd rowBR2010-0000734
3rd rowBR2010-0000733
4th rowBR1994-0000002
5th rowDA2008-0000105
ValueCountFrequency (%)
da2009-0000044 9
 
0.1%
rw2008-0000102 9
 
0.1%
cs2004-0000176 9
 
0.1%
ar2011-0002266 9
 
0.1%
br1995-0000020 9
 
0.1%
ar2014-0003550 9
 
0.1%
ar2017-0000855 8
 
0.1%
br2006-0001454 8
 
0.1%
br2013-0000315 8
 
0.1%
ws2009-0000071 8
 
0.1%
Other values (2694) 9914
99.1%
2023-12-11T08:13:20.831604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56218
40.2%
1 12443
 
8.9%
2 11788
 
8.4%
- 10000
 
7.1%
R 8330
 
5.9%
9 7721
 
5.5%
B 5901
 
4.2%
3 4281
 
3.1%
6 3627
 
2.6%
4 3605
 
2.6%
Other values (10) 16086
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110000
78.6%
Uppercase Letter 20000
 
14.3%
Dash Punctuation 10000
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56218
51.1%
1 12443
 
11.3%
2 11788
 
10.7%
9 7721
 
7.0%
3 4281
 
3.9%
6 3627
 
3.3%
4 3605
 
3.3%
8 3497
 
3.2%
7 3431
 
3.1%
5 3389
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
R 8330
41.6%
B 5901
29.5%
W 1988
 
9.9%
A 1518
 
7.6%
S 1499
 
7.5%
T 518
 
2.6%
D 171
 
0.9%
C 51
 
0.3%
L 24
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120000
85.7%
Latin 20000
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56218
46.8%
1 12443
 
10.4%
2 11788
 
9.8%
- 10000
 
8.3%
9 7721
 
6.4%
3 4281
 
3.6%
6 3627
 
3.0%
4 3605
 
3.0%
8 3497
 
2.9%
7 3431
 
2.9%
Latin
ValueCountFrequency (%)
R 8330
41.6%
B 5901
29.5%
W 1988
 
9.9%
A 1518
 
7.6%
S 1499
 
7.5%
T 518
 
2.6%
D 171
 
0.9%
C 51
 
0.3%
L 24
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56218
40.2%
1 12443
 
8.9%
2 11788
 
8.4%
- 10000
 
7.1%
R 8330
 
5.9%
9 7721
 
5.5%
B 5901
 
4.2%
3 4281
 
3.1%
6 3627
 
2.6%
4 3605
 
2.6%
Other values (10) 16086
 
11.5%

시설물구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
교량
5952 
상하수도
1424 
건축물
1347 
옹벽
1082 
댐
 
171

Length

Max length4
Median length2
Mean length2.4072
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교량
2nd row교량
3rd row교량
4th row교량
5th row댐

Common Values

ValueCountFrequency (%)
교량 5952
59.5%
상하수도 1424
 
14.2%
건축물 1347
 
13.5%
옹벽 1082
 
10.8%
댐 171
 
1.7%
절토사면 24
 
0.2%

Length

2023-12-11T08:13:21.039680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:13:21.202764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교량 5952
59.5%
상하수도 1424
 
14.2%
건축물 1347
 
13.5%
옹벽 1082
 
10.8%
댐 171
 
1.7%
절토사면 24
 
0.2%

시설물종류
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
도로교량
5369 
지방상수도
863 
다중이용건축물
681 
도로옹벽
593 
철도교량
 
532
Other values (17)
1962 

Length

Max length8
Median length4
Mean length4.6126
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도로교량
2nd row도로교량
3rd row도로교량
4th row도로교량
5th row용수전용댐

Common Values

ValueCountFrequency (%)
도로교량 5369
53.7%
지방상수도 863
 
8.6%
다중이용건축물 681
 
6.8%
도로옹벽 593
 
5.9%
철도교량 532
 
5.3%
공공하수처리시설 518
 
5.2%
철도역시설 478
 
4.8%
철도옹벽 212
 
2.1%
건축물옹벽 201
 
2.0%
대형건축물 180
 
1.8%
Other values (12) 373
 
3.7%

Length

2023-12-11T08:13:21.349479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도로교량 5369
53.7%
지방상수도 863
 
8.6%
다중이용건축물 681
 
6.8%
도로옹벽 593
 
5.9%
철도교량 532
 
5.3%
공공하수처리시설 518
 
5.2%
철도역시설 478
 
4.8%
철도옹벽 212
 
2.1%
건축물옹벽 201
 
2.0%
대형건축물 180
 
1.8%
Other values (12) 373
 
3.7%

시설물종별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2종
7163 
1종
2837 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1종
2nd row2종
3rd row2종
4th row2종
5th row2종

Common Values

ValueCountFrequency (%)
2종 7163
71.6%
1종 2837
 
28.4%

Length

2023-12-11T08:13:21.469558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:13:21.572911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2종 7163
71.6%
1종 2837
 
28.4%

시설물명
Text

Distinct2673
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:13:21.784479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length8.1128
Min length3

Characters and Unicode

Total characters81128
Distinct characters476
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)1.8%

Sample

1st row원천리천교
2nd row금정IC교-3교
3rd row금정IC교-2교
4th row거모3교(강릉)
5th row우금저수지
ValueCountFrequency (%)
옹벽 350
 
2.7%
보강토옹벽 106
 
0.8%
교사동 65
 
0.5%
7호선 58
 
0.5%
57
 
0.4%
운동장 46
 
0.4%
보강토 42
 
0.3%
후면 42
 
0.3%
공공하수처리시설 39
 
0.3%
경원선 39
 
0.3%
Other values (2900) 12020
93.4%
2023-12-11T08:13:22.160366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 6083
 
7.5%
) 3369
 
4.2%
( 3366
 
4.1%
2870
 
3.5%
수 1946
 
2.4%
1 1651
 
2.0%
천 1564
 
1.9%
2 1356
 
1.7%
지 1341
 
1.7%
하 1165
 
1.4%
Other values (466) 56417
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57731
71.2%
Decimal Number 7080
 
8.7%
Uppercase Letter 3977
 
4.9%
Close Punctuation 3419
 
4.2%
Open Punctuation 3416
 
4.2%
Space Separator 2870
 
3.5%
Lowercase Letter 836
 
1.0%
Other Punctuation 644
 
0.8%
Math Symbol 578
 
0.7%
Dash Punctuation 577
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 6083
 
10.5%
수 1946
 
3.4%
천 1564
 
2.7%
지 1341
 
2.3%
하 1165
 
2.0%
장 1027
 
1.8%
벽 1000
 
1.7%
옹 957
 
1.7%
산 934
 
1.6%
사 832
 
1.4%
Other values (407) 40882
70.8%
Uppercase Letter
ValueCountFrequency (%)
C 987
24.8%
I 691
17.4%
A 440
11.1%
T 350
 
8.8%
R 339
 
8.5%
J 229
 
5.8%
P 191
 
4.8%
M 174
 
4.4%
S 145
 
3.6%
B 117
 
2.9%
Other values (13) 314
 
7.9%
Lowercase Letter
ValueCountFrequency (%)
k 393
47.0%
m 264
31.6%
a 53
 
6.3%
t 39
 
4.7%
s 34
 
4.1%
p 19
 
2.3%
e 8
 
1.0%
n 8
 
1.0%
i 8
 
1.0%
c 5
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 1651
23.3%
2 1356
19.2%
0 1034
14.6%
3 810
11.4%
4 504
 
7.1%
7 368
 
5.2%
8 359
 
5.1%
5 347
 
4.9%
9 347
 
4.9%
6 304
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 527
81.8%
, 70
 
10.9%
/ 30
 
4.7%
: 11
 
1.7%
& 4
 
0.6%
# 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 306
52.9%
~ 262
45.3%
∼ 10
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 3369
98.5%
] 50
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 3366
98.5%
[ 50
 
1.5%
Space Separator
ValueCountFrequency (%)
2870
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 577
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57731
71.2%
Common 18584
 
22.9%
Latin 4813
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 6083
 
10.5%
수 1946
 
3.4%
천 1564
 
2.7%
지 1341
 
2.3%
하 1165
 
2.0%
장 1027
 
1.8%
벽 1000
 
1.7%
옹 957
 
1.7%
산 934
 
1.6%
사 832
 
1.4%
Other values (407) 40882
70.8%
Latin
ValueCountFrequency (%)
C 987
20.5%
I 691
14.4%
A 440
9.1%
k 393
 
8.2%
T 350
 
7.3%
R 339
 
7.0%
m 264
 
5.5%
J 229
 
4.8%
P 191
 
4.0%
M 174
 
3.6%
Other values (24) 755
15.7%
Common
ValueCountFrequency (%)
) 3369
18.1%
( 3366
18.1%
2870
15.4%
1 1651
8.9%
2 1356
7.3%
0 1034
 
5.6%
3 810
 
4.4%
- 577
 
3.1%
. 527
 
2.8%
4 504
 
2.7%
Other values (15) 2520
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57731
71.2%
ASCII 23387
28.8%
Math Operators 10
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 6083
 
10.5%
수 1946
 
3.4%
천 1564
 
2.7%
지 1341
 
2.3%
하 1165
 
2.0%
장 1027
 
1.8%
벽 1000
 
1.7%
옹 957
 
1.7%
산 934
 
1.6%
사 832
 
1.4%
Other values (407) 40882
70.8%
ASCII
ValueCountFrequency (%)
) 3369
14.4%
( 3366
14.4%
2870
12.3%
1 1651
 
7.1%
2 1356
 
5.8%
0 1034
 
4.4%
C 987
 
4.2%
3 810
 
3.5%
I 691
 
3.0%
- 577
 
2.5%
Other values (48) 6676
28.5%
Math Operators
ValueCountFrequency (%)
∼ 10
100.0%

안전등급
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
B등급
6622 
A등급
1340 
양호
1220 
C등급
706 
보통
 
106

Length

Max length3
Median length3
Mean length2.8674
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB등급
2nd rowB등급
3rd rowB등급
4th rowB등급
5th rowC등급

Common Values

ValueCountFrequency (%)
B등급 6622
66.2%
A등급 1340
 
13.4%
양호 1220
 
12.2%
C등급 706
 
7.1%
보통 106
 
1.1%
D등급 6
 
0.1%

Length

2023-12-11T08:13:22.296908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:13:22.411791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b등급 6622
66.2%
a등급 1340
 
13.4%
양호 1220
 
12.2%
c등급 706
 
7.1%
보통 106
 
1.1%
d등급 6
 
0.1%

최근점검진단일
Real number (ℝ)

HIGH CORRELATION 

Distinct524
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20161864
Minimum20051121
Maximum20171110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:13:22.539503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051121
5-th percentile20150430
Q120160425
median20161109
Q320170531
95-th percentile20170724
Maximum20171110
Range119989
Interquartile range (IQR)10106

Descriptive statistics

Standard deviation8573.0599
Coefficient of variation (CV)0.00042521168
Kurtosis8.9892191
Mean20161864
Median Absolute Deviation (MAD)9398
Skewness-1.5018687
Sum2.0161864 × 1011
Variance73497356
MonotonicityNot monotonic
2023-12-11T08:13:22.694211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20170630 555
 
5.5%
20170724 177
 
1.8%
20170623 150
 
1.5%
20161216 141
 
1.4%
20160626 137
 
1.4%
20170629 134
 
1.3%
20161109 131
 
1.3%
20170605 121
 
1.2%
20161228 119
 
1.2%
20160909 110
 
1.1%
Other values (514) 8225
82.2%
ValueCountFrequency (%)
20051121 2
 
< 0.1%
20090512 4
< 0.1%
20091201 4
< 0.1%
20130415 2
 
< 0.1%
20130427 9
0.1%
20131022 7
0.1%
20131024 5
0.1%
20131101 5
0.1%
20131210 3
 
< 0.1%
20131228 4
< 0.1%
ValueCountFrequency (%)
20171110 5
 
0.1%
20171103 21
0.2%
20171102 4
 
< 0.1%
20171031 17
0.2%
20171030 11
0.1%
20171027 4
 
< 0.1%
20171026 4
 
< 0.1%
20171025 6
 
0.1%
20171022 7
 
0.1%
20171021 3
 
< 0.1%

차기점검진단일
Real number (ℝ)

HIGH CORRELATION 

Distinct579
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20183743
Minimum20110318
Maximum20210630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:13:22.842088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20110318
5-th percentile20171030
Q120180530
median20181204
Q320190624
95-th percentile20200317
Maximum20210630
Range100312
Interquartile range (IQR)10094

Descriptive statistics

Standard deviation8784.1362
Coefficient of variation (CV)0.00043520848
Kurtosis2.291028
Mean20183743
Median Absolute Deviation (MAD)9301
Skewness-0.16498724
Sum2.0183743 × 1011
Variance77161049
MonotonicityNot monotonic
2023-12-11T08:13:23.020641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200101 232
 
2.3%
20181231 206
 
2.1%
20190724 168
 
1.7%
20191228 149
 
1.5%
20180626 138
 
1.4%
20181216 130
 
1.3%
20180909 110
 
1.1%
20171231 108
 
1.1%
20181228 108
 
1.1%
20191231 102
 
1.0%
Other values (569) 8549
85.5%
ValueCountFrequency (%)
20110318 4
 
< 0.1%
20130512 4
 
< 0.1%
20150427 9
 
0.1%
20151228 4
 
< 0.1%
20160425 5
 
0.1%
20160627 43
0.4%
20160711 7
 
0.1%
20170313 4
 
< 0.1%
20170325 5
 
0.1%
20170331 12
 
0.1%
ValueCountFrequency (%)
20210630 17
0.2%
20210531 2
 
< 0.1%
20210524 4
 
< 0.1%
20210506 3
 
< 0.1%
20210419 6
 
0.1%
20210417 12
0.1%
20210126 8
0.1%
20201231 11
0.1%
20201230 6
 
0.1%
20201219 5
 
0.1%

준공일자
Real number (ℝ)

Distinct1157
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20022010
Minimum19140816
Maximum20170524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:13:23.200627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19140816
5-th percentile19870101
Q119961105
median20030630
Q320101225
95-th percentile20160127
Maximum20170524
Range1029708
Interquartile range (IQR)140120.25

Descriptive statistics

Standard deviation109083.95
Coefficient of variation (CV)0.0054482015
Kurtosis10.567879
Mean20022010
Median Absolute Deviation (MAD)70479
Skewness-2.0668676
Sum2.002201 × 1011
Variance1.1899307 × 1010
MonotonicityNot monotonic
2023-12-11T08:13:23.396895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20011129 151
 
1.5%
19950101 129
 
1.3%
20151231 123
 
1.2%
20131231 119
 
1.2%
19871130 119
 
1.2%
20161231 103
 
1.0%
20060630 96
 
1.0%
20051220 94
 
0.9%
19940101 86
 
0.9%
20161228 85
 
0.9%
Other values (1147) 8895
88.9%
ValueCountFrequency (%)
19140816 14
0.1%
19250330 4
 
< 0.1%
19280301 4
 
< 0.1%
19290901 4
 
< 0.1%
19320101 3
 
< 0.1%
19391231 4
 
< 0.1%
19430701 7
0.1%
19441231 3
 
< 0.1%
19481231 2
 
< 0.1%
19491231 9
0.1%
ValueCountFrequency (%)
20170524 4
 
< 0.1%
20170419 6
 
0.1%
20170126 8
 
0.1%
20161231 103
1.0%
20161230 5
 
0.1%
20161228 85
0.9%
20161226 4
 
< 0.1%
20161219 5
 
0.1%
20161215 22
 
0.2%
20161130 34
 
0.3%

위치
Text

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:13:23.651306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length8.2483
Min length6

Characters and Unicode

Total characters82483
Distinct characters65
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 화성시
2nd row경기도 군포시
3rd row경기도 군포시
4th row경기도 시흥시
5th row경기도 포천시
ValueCountFrequency (%)
경기도 10000
43.8%
고양시 700
 
3.1%
화성시 688
 
3.0%
용인시 661
 
2.9%
남양주시 586
 
2.6%
평택시 480
 
2.1%
성남시 465
 
2.0%
안성시 435
 
1.9%
파주시 427
 
1.9%
시흥시 421
 
1.8%
Other values (51) 7973
34.9%
2023-12-11T08:13:24.027286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12836
15.6%
기 10224
12.4%
경 10000
12.1%
도 10000
12.1%
시 9562
11.6%
구 3062
 
3.7%
양 2548
 
3.1%
주 2097
 
2.5%
성 1601
 
1.9%
안 1440
 
1.7%
Other values (55) 19113
23.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69647
84.4%
Space Separator 12836
 
15.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 10224
14.7%
경 10000
14.4%
도 10000
14.4%
시 9562
13.7%
구 3062
 
4.4%
양 2548
 
3.7%
주 2097
 
3.0%
성 1601
 
2.3%
안 1440
 
2.1%
남 1225
 
1.8%
Other values (54) 17888
25.7%
Space Separator
ValueCountFrequency (%)
12836
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69647
84.4%
Common 12836
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 10224
14.7%
경 10000
14.4%
도 10000
14.4%
시 9562
13.7%
구 3062
 
4.4%
양 2548
 
3.7%
주 2097
 
3.0%
성 1601
 
2.3%
안 1440
 
2.1%
남 1225
 
1.8%
Other values (54) 17888
25.7%
Common
ValueCountFrequency (%)
12836
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69647
84.4%
ASCII 12836
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12836
100.0%
Hangul
ValueCountFrequency (%)
기 10224
14.7%
경 10000
14.4%
도 10000
14.4%
시 9562
13.7%
구 3062
 
4.4%
양 2548
 
3.7%
주 2097
 
3.0%
성 1601
 
2.3%
안 1440
 
2.1%
남 1225
 
1.8%
Other values (54) 17888
25.7%

전경사진
Text

MISSING 

Distinct1829
Distinct (%)27.0%
Missing3234
Missing (%)32.3%
Memory size156.2 KiB
2023-12-11T08:13:24.348747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length87
Mean length88.138191
Min length83

Characters and Unicode

Total characters596343
Distinct characters61
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

Unique124 ?
Unique (%)1.8%

Sample

1st rowhttp://www.fms.or.kr/upload_data/facility/photo/20140503001633_BR2009-0000177_front.jpg
2nd rowhttp://www.fms.or.kr/upload_data/facility/photo/20140503002493_BR2010-0000734_front.jpg
3rd rowhttp://www.fms.or.kr/upload_data/facility/photo/20140503002492_BR2010-0000733_front.jpg
4th rowhttp://www.fms.or.kr/upload_data/facility/photo/20150302114403340_WS1994-0000004_front.png
5th rowhttp://www.fms.or.kr/upload_data/facility/photo/20170215162928775_BR2016-0000620_front.jpg
ValueCountFrequency (%)
http://www.fms.or.kr/upload_data/facility/photo/20140503004627_da2009-0000044_front.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20140503006233_rw2008-0000102_front.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20170306090624370_ar2011-0002266_front.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20151123053303931_ar2014-0003550_front.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20140503007359_st2003-0000104_front.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20140503000622_br2006-0000101_front 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20170412111845536_ar2017-0000855_front.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20150427162539250_br1994-0000174_front.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20160929155052509_br1999-0000016_front.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20150807130436965_ws2009-0000071_front.png 8
 
0.1%
Other values (1819) 6682
98.8%
2023-12-11T08:13:24.934539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67859
 
11.4%
t 40596
 
6.8%
/ 40596
 
6.8%
o 33830
 
5.7%
a 27064
 
4.5%
. 26915
 
4.5%
p 25550
 
4.3%
1 24680
 
4.1%
2 21811
 
3.7%
w 20313
 
3.4%
Other values (51) 267129
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 299991
50.3%
Decimal Number 177380
29.7%
Other Punctuation 74277
 
12.5%
Connector Punctuation 20298
 
3.4%
Uppercase Letter 17576
 
2.9%
Dash Punctuation 6766
 
1.1%
Other Letter 45
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 40596
13.5%
o 33830
11.3%
a 27064
 
9.0%
p 25550
 
8.5%
w 20313
 
6.8%
f 20310
 
6.8%
r 20298
 
6.8%
h 13547
 
4.5%
i 13544
 
4.5%
l 13532
 
4.5%
Other values (12) 71407
23.8%
Uppercase Letter
ValueCountFrequency (%)
R 5730
32.6%
B 3658
20.8%
W 1437
 
8.2%
P 1348
 
7.7%
J 1344
 
7.6%
G 1344
 
7.6%
A 1237
 
7.0%
S 891
 
5.1%
T 390
 
2.2%
D 145
 
0.8%
Other values (3) 52
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 67859
38.3%
1 24680
 
13.9%
2 21811
 
12.3%
3 12057
 
6.8%
5 11896
 
6.7%
4 11099
 
6.3%
6 7862
 
4.4%
9 7743
 
4.4%
7 6430
 
3.6%
8 5943
 
3.4%
Other Letter
ValueCountFrequency (%)
전 5
11.1%
진 5
11.1%
사 5
11.1%
경 5
11.1%
수 5
11.1%
장 5
11.1%
정 5
11.1%
곡 5
11.1%
도 5
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 40596
54.7%
. 26915
36.2%
: 6766
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 20298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6766
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 317567
53.3%
Common 278731
46.7%
Hangul 45
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 40596
12.8%
o 33830
 
10.7%
a 27064
 
8.5%
p 25550
 
8.0%
w 20313
 
6.4%
f 20310
 
6.4%
r 20298
 
6.4%
h 13547
 
4.3%
i 13544
 
4.3%
l 13532
 
4.3%
Other values (25) 88983
28.0%
Common
ValueCountFrequency (%)
0 67859
24.3%
/ 40596
14.6%
. 26915
 
9.7%
1 24680
 
8.9%
2 21811
 
7.8%
_ 20298
 
7.3%
3 12057
 
4.3%
5 11896
 
4.3%
4 11099
 
4.0%
6 7862
 
2.8%
Other values (7) 33658
12.1%
Hangul
ValueCountFrequency (%)
전 5
11.1%
진 5
11.1%
사 5
11.1%
경 5
11.1%
수 5
11.1%
장 5
11.1%
정 5
11.1%
곡 5
11.1%
도 5
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 596298
> 99.9%
Hangul 45
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67859
 
11.4%
t 40596
 
6.8%
/ 40596
 
6.8%
o 33830
 
5.7%
a 27064
 
4.5%
. 26915
 
4.5%
p 25550
 
4.3%
1 24680
 
4.1%
2 21811
 
3.7%
w 20313
 
3.4%
Other values (42) 267084
44.8%
Hangul
ValueCountFrequency (%)
전 5
11.1%
진 5
11.1%
사 5
11.1%
경 5
11.1%
수 5
11.1%
장 5
11.1%
정 5
11.1%
곡 5
11.1%
도 5
11.1%

정,측면 기타사진
Text

MISSING 

Distinct1728
Distinct (%)27.0%
Missing3598
Missing (%)36.0%
Memory size156.2 KiB
2023-12-11T08:13:25.303390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length87
Mean length88.186973
Min length83

Characters and Unicode

Total characters564573
Distinct characters64
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

Unique115 ?
Unique (%)1.8%

Sample

1st rowhttp://www.fms.or.kr/upload_data/facility/photo/20140503004985_BR2009-0000177_other.jpg
2nd rowhttp://www.fms.or.kr/upload_data/facility/photo/20140503005843_BR2010-0000734_other.jpg
3rd rowhttp://www.fms.or.kr/upload_data/facility/photo/20140503005842_BR2010-0000733_other.jpg
4th rowhttp://www.fms.or.kr/upload_data/facility/photo/20150302114403354_WS1994-0000004_other.png
5th rowhttp://www.fms.or.kr/upload_data/facility/photo/20170215162928791_BR2016-0000620_other.jpg
ValueCountFrequency (%)
http://www.fms.or.kr/upload_data/facility/photo/20151123053303967_ar2014-0003550_other.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20170306090624444_ar2011-0002266_other.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20140503007887_da2009-0000044_other.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20140503009345_rw2008-0000102_other.jpg 9
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20150127193102980_br2013-0000315_other.bmp 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20160929162536691_br2006-0001454_other.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/2015042716251594_br1994-0000174_other.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20160929155052524_br1999-0000016_other.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20170418151529200_ar2017-0000855_other.jpg 8
 
0.1%
http://www.fms.or.kr/upload_data/facility/photo/20150807130436992_ws2009-0000071_other.png 8
 
0.1%
Other values (1719) 6323
98.7%
2023-12-11T08:13:25.843397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63512
 
11.2%
t 38412
 
6.8%
/ 38412
 
6.8%
o 32010
 
5.7%
a 25608
 
4.5%
. 25501
 
4.5%
p 24185
 
4.3%
1 23609
 
4.2%
2 21046
 
3.7%
h 19216
 
3.4%
Other values (54) 253062
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 283865
50.3%
Decimal Number 168004
29.8%
Other Punctuation 70320
 
12.5%
Connector Punctuation 19206
 
3.4%
Uppercase Letter 16701
 
3.0%
Dash Punctuation 6402
 
1.1%
Other Letter 60
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Space Separator 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 38412
13.5%
o 32010
11.3%
a 25608
 
9.0%
p 24185
 
8.5%
h 19216
 
6.8%
w 19216
 
6.8%
r 19206
 
6.8%
f 12816
 
4.5%
i 12816
 
4.5%
l 12804
 
4.5%
Other values (12) 67576
23.8%
Uppercase Letter
ValueCountFrequency (%)
R 5429
32.5%
B 3568
21.4%
W 1324
 
7.9%
G 1299
 
7.8%
P 1299
 
7.8%
J 1299
 
7.8%
A 1108
 
6.6%
S 831
 
5.0%
T 357
 
2.1%
D 142
 
0.9%
Other values (2) 45
 
0.3%
Other Letter
ValueCountFrequency (%)
정 10
16.7%
곡 5
8.3%
수 5
8.3%
도 5
8.3%
측 5
8.3%
면 5
8.3%
기 5
8.3%
타 5
8.3%
사 5
8.3%
진 5
8.3%
Decimal Number
ValueCountFrequency (%)
0 63512
37.8%
1 23609
 
14.1%
2 21046
 
12.5%
5 11566
 
6.9%
3 11501
 
6.8%
4 11066
 
6.6%
6 7310
 
4.4%
9 7127
 
4.2%
7 6096
 
3.6%
8 5171
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 38412
54.6%
. 25501
36.3%
: 6402
 
9.1%
, 5
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 19206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6402
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 300566
53.2%
Common 263947
46.8%
Hangul 60
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 38412
12.8%
o 32010
 
10.6%
a 25608
 
8.5%
p 24185
 
8.0%
h 19216
 
6.4%
w 19216
 
6.4%
r 19206
 
6.4%
f 12816
 
4.3%
i 12816
 
4.3%
l 12804
 
4.3%
Other values (24) 84277
28.0%
Common
ValueCountFrequency (%)
0 63512
24.1%
/ 38412
14.6%
. 25501
9.7%
1 23609
 
8.9%
2 21046
 
8.0%
_ 19206
 
7.3%
5 11566
 
4.4%
3 11501
 
4.4%
4 11066
 
4.2%
6 7310
 
2.8%
Other values (9) 31218
11.8%
Hangul
ValueCountFrequency (%)
정 10
16.7%
곡 5
8.3%
수 5
8.3%
도 5
8.3%
측 5
8.3%
면 5
8.3%
기 5
8.3%
타 5
8.3%
사 5
8.3%
진 5
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564513
> 99.9%
Hangul 60
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63512
 
11.3%
t 38412
 
6.8%
/ 38412
 
6.8%
o 32010
 
5.7%
a 25608
 
4.5%
. 25501
 
4.5%
p 24185
 
4.3%
1 23609
 
4.2%
2 21046
 
3.7%
h 19216
 
3.4%
Other values (43) 253002
44.8%
Hangul
ValueCountFrequency (%)
정 10
16.7%
곡 5
8.3%
수 5
8.3%
도 5
8.3%
측 5
8.3%
면 5
8.3%
기 5
8.3%
타 5
8.3%
사 5
8.3%
진 5
8.3%

취합기관
Text

Distinct90
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T08:13:26.173196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length12.5946
Min length4

Characters and Unicode

Total characters125946
Distinct characters157
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row화성시청 안전정책과
2nd row군포시청 안전도시과
3rd row군포시청 안전도시과
4th row수도권본부 구조물안전팀, 도로팀
5th row한국농어촌공사
ValueCountFrequency (%)
안전총괄과 2251
 
10.5%
도로팀 1697
 
7.9%
구조물안전팀 1560
 
7.3%
수도권본부 1530
 
7.1%
건설관리실 1265
 
5.9%
서울지방국토관리청 1265
 
5.9%
한국철도공사 957
 
4.5%
시설기술단토목시설처 536
 
2.5%
재난안전관 530
 
2.5%
고양시청 428
 
2.0%
Other values (132) 9405
43.9%
2023-12-11T08:13:26.675743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11424
 
9.1%
안 6557
 
5.2%
전 6210
 
4.9%
시 6176
 
4.9%
청 5996
 
4.8%
도 5335
 
4.2%
과 4172
 
3.3%
설 3631
 
2.9%
팀 3436
 
2.7%
관 3391
 
2.7%
Other values (147) 69618
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111489
88.5%
Space Separator 11424
 
9.1%
Other Punctuation 2191
 
1.7%
Decimal Number 438
 
0.3%
Close Punctuation 138
 
0.1%
Open Punctuation 138
 
0.1%
Uppercase Letter 128
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 6557
 
5.9%
전 6210
 
5.6%
시 6176
 
5.5%
청 5996
 
5.4%
도 5335
 
4.8%
과 4172
 
3.7%
설 3631
 
3.3%
팀 3436
 
3.1%
관 3391
 
3.0%
부 3211
 
2.9%
Other values (135) 63374
56.8%
Decimal Number
ValueCountFrequency (%)
6 136
31.1%
3 136
31.1%
5 136
31.1%
1 30
 
6.8%
Close Punctuation
ValueCountFrequency (%)
) 134
97.1%
] 4
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 134
97.1%
[ 4
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
L 64
50.0%
H 64
50.0%
Space Separator
ValueCountFrequency (%)
11424
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111489
88.5%
Common 14329
 
11.4%
Latin 128
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 6557
 
5.9%
전 6210
 
5.6%
시 6176
 
5.5%
청 5996
 
5.4%
도 5335
 
4.8%
과 4172
 
3.7%
설 3631
 
3.3%
팀 3436
 
3.1%
관 3391
 
3.0%
부 3211
 
2.9%
Other values (135) 63374
56.8%
Common
ValueCountFrequency (%)
11424
79.7%
, 2191
 
15.3%
6 136
 
0.9%
3 136
 
0.9%
5 136
 
0.9%
) 134
 
0.9%
( 134
 
0.9%
1 30
 
0.2%
[ 4
 
< 0.1%
] 4
 
< 0.1%
Latin
ValueCountFrequency (%)
L 64
50.0%
H 64
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111489
88.5%
ASCII 14457
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11424
79.0%
, 2191
 
15.2%
6 136
 
0.9%
3 136
 
0.9%
5 136
 
0.9%
) 134
 
0.9%
( 134
 
0.9%
L 64
 
0.4%
H 64
 
0.4%
1 30
 
0.2%
Other values (2) 8
 
0.1%
Hangul
ValueCountFrequency (%)
안 6557
 
5.9%
전 6210
 
5.6%
시 6176
 
5.5%
청 5996
 
5.4%
도 5335
 
4.8%
과 4172
 
3.7%
설 3631
 
3.3%
팀 3436
 
3.1%
관 3391
 
3.0%
부 3211
 
2.9%
Other values (135) 63374
56.8%

시설물주요제원
Text

Distinct2238
Distinct (%)22.4%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T08:13:27.002890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length85
Mean length50.340607
Min length12

Characters and Unicode

Total characters502953
Distinct characters257
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)1.3%

Sample

1st row형식 : 강박스거더교(STB)Ð연장 : 140.0 m, 차로수 : 6Ð경간수 : 3Ð최대경간장 : 60
2nd row형식 : 강박스거더교(STB)Ð연장 : 186.0 m, 차로수 : 2Ð경간수 : 5Ð최대경간장 : 49
3rd row형식 : 강박스거더교(STB)Ð연장 : 184.0 m, 차로수 : 2Ð경간수 : 5Ð최대경간장 : 49
4th row형식 : PSCBÐ연장 : 395.2 m, 차로수 : 3Ð경간수 : 9Ð최대경간장 : 45
5th row댐형식 : 필댐-록필(사력,석괴)죤형Ð댐체높이 : 14.0 m, 길이 : 245.0 mÐ저수용량 : 1 백만 m³
ValueCountFrequency (%)
40420
34.6%
형식 8405
 
7.2%
m 7696
 
6.6%
차로수 5901
 
5.0%
2ð경간수 2433
 
2.1%
강박스거더교(stb)ð연장 2267
 
1.9%
m²ð지상 1347
 
1.2%
4ð경간수 1341
 
1.1%
50 1162
 
1.0%
mð높이 1106
 
0.9%
Other values (2189) 44780
38.3%
2023-12-11T08:13:27.496042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106881
21.3%
: 40406
 
8.0%
Ð 25958
 
5.2%
0 21707
 
4.3%
수 14039
 
2.8%
장 13547
 
2.7%
m 13042
 
2.6%
간 12409
 
2.5%
경 11862
 
2.4%
, 11586
 
2.3%
Other values (247) 231516
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174998
34.8%
Space Separator 106881
21.3%
Decimal Number 78629
15.6%
Other Punctuation 63617
 
12.6%
Uppercase Letter 51781
 
10.3%
Lowercase Letter 14849
 
3.0%
Close Punctuation 4490
 
0.9%
Open Punctuation 4490
 
0.9%
Other Number 2684
 
0.5%
Dash Punctuation 326
 
0.1%
Other values (2) 208
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 14039
 
8.0%
장 13547
 
7.7%
간 12409
 
7.1%
경 11862
 
6.8%
식 9369
 
5.4%
형 9228
 
5.3%
연 8419
 
4.8%
로 7061
 
4.0%
대 6937
 
4.0%
최 6937
 
4.0%
Other values (182) 75190
43.0%
Uppercase Letter
ValueCountFrequency (%)
Ð 25958
50.1%
C 3991
 
7.7%
S 3952
 
7.6%
P 3731
 
7.2%
B 3483
 
6.7%
T 2899
 
5.6%
R 1671
 
3.2%
I 1670
 
3.2%
E 1149
 
2.2%
G 545
 
1.1%
Other values (13) 2732
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
m 13042
87.8%
e 499
 
3.4%
a 295
 
2.0%
r 262
 
1.8%
i 177
 
1.2%
d 116
 
0.8%
o 108
 
0.7%
c 72
 
0.5%
l 47
 
0.3%
t 42
 
0.3%
Other values (9) 189
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 21707
27.6%
1 10858
13.8%
2 9407
12.0%
5 8957
11.4%
3 7407
 
9.4%
4 6456
 
8.2%
6 4571
 
5.8%
8 3394
 
4.3%
7 3209
 
4.1%
9 2663
 
3.4%
Other Punctuation
ValueCountFrequency (%)
: 40406
63.5%
, 11586
 
18.2%
. 10459
 
16.4%
/ 1166
 
1.8%
Other Number
ValueCountFrequency (%)
² 1347
50.2%
³ 1337
49.8%
Math Symbol
ValueCountFrequency (%)
+ 197
96.1%
~ 8
 
3.9%
Space Separator
ValueCountFrequency (%)
106881
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 261322
52.0%
Hangul 174998
34.8%
Latin 66633
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 14039
 
8.0%
장 13547
 
7.7%
간 12409
 
7.1%
경 11862
 
6.8%
식 9369
 
5.4%
형 9228
 
5.3%
연 8419
 
4.8%
로 7061
 
4.0%
대 6937
 
4.0%
최 6937
 
4.0%
Other values (182) 75190
43.0%
Latin
ValueCountFrequency (%)
Ð 25958
39.0%
m 13042
19.6%
C 3991
 
6.0%
S 3952
 
5.9%
P 3731
 
5.6%
B 3483
 
5.2%
T 2899
 
4.4%
R 1671
 
2.5%
I 1670
 
2.5%
E 1149
 
1.7%
Other values (33) 5087
 
7.6%
Common
ValueCountFrequency (%)
106881
40.9%
: 40406
 
15.5%
0 21707
 
8.3%
, 11586
 
4.4%
1 10858
 
4.2%
. 10459
 
4.0%
2 9407
 
3.6%
5 8957
 
3.4%
3 7407
 
2.8%
4 6456
 
2.5%
Other values (12) 27198
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 299310
59.5%
Hangul 174998
34.8%
None 28642
 
5.7%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106881
35.7%
: 40406
 
13.5%
0 21707
 
7.3%
m 13042
 
4.4%
, 11586
 
3.9%
1 10858
 
3.6%
. 10459
 
3.5%
2 9407
 
3.1%
5 8957
 
3.0%
3 7407
 
2.5%
Other values (51) 58600
19.6%
None
ValueCountFrequency (%)
Ð 25958
90.6%
² 1347
 
4.7%
³ 1337
 
4.7%
Hangul
ValueCountFrequency (%)
수 14039
 
8.0%
장 13547
 
7.7%
간 12409
 
7.1%
경 11862
 
6.8%
식 9369
 
5.4%
형 9228
 
5.3%
연 8419
 
4.8%
로 7061
 
4.0%
대 6937
 
4.0%
최 6937
 
4.0%
Other values (182) 75190
43.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

Interactions

2023-12-11T08:13:18.889135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:18.131944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:18.455254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:19.283990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:18.219715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:18.625508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:19.408984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:18.313612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:13:18.744132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:13:27.611828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설물구분시설물종류시설물종별안전등급최근점검진단일차기점검진단일준공일자위치취합기관
시군명1.0000.4520.6030.2210.3910.3660.4130.4381.0000.987
시설물구분0.4521.0001.0000.4850.6800.1810.3120.5380.5500.936
시설물종류0.6031.0001.0000.5280.6110.4100.4450.6450.7280.965
시설물종별0.2210.4850.5281.0000.2560.1180.3040.0640.2690.450
안전등급0.3910.6800.6110.2561.0000.2550.2600.5900.4590.731
최근점검진단일0.3660.1810.4100.1180.2551.0000.7940.1160.4490.800
차기점검진단일0.4130.3120.4450.3040.2600.7941.0000.1680.5090.665
준공일자0.4380.5380.6450.0640.5900.1160.1681.0000.5300.740
위치1.0000.5500.7280.2690.4590.4490.5090.5301.0000.986
취합기관0.9870.9360.9650.4500.7310.8000.6650.7400.9861.000
2023-12-11T08:13:27.744023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설물구분시설물종류시설물종별안전등급
시군명1.0000.2170.1910.1880.183
시설물구분0.2171.0000.9990.3500.304
시설물종류0.1910.9991.0000.4200.334
시설물종별0.1880.3500.4201.0000.184
안전등급0.1830.3040.3340.1841.000
2023-12-11T08:13:28.113080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최근점검진단일차기점검진단일준공일자시군명시설물구분시설물종류시설물종별안전등급
최근점검진단일1.0000.7020.2100.1650.1110.1940.1440.157
차기점검진단일0.7021.0000.1980.1630.1800.1860.2300.149
준공일자0.2100.1981.0000.1890.3020.3010.0680.341
시군명0.1650.1630.1891.0000.2170.1910.1880.183
시설물구분0.1110.1800.3020.2171.0000.9990.3500.304
시설물종류0.1940.1860.3010.1910.9991.0000.4200.334
시설물종별0.1440.2300.0680.1880.3500.4201.0000.184
안전등급0.1570.1490.3410.1830.3040.3340.1841.000

Missing values

2023-12-11T08:13:19.581946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:13:19.818075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T08:13:20.013809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명시설물번호시설물구분시설물종류시설물종별시설물명안전등급최근점검진단일차기점검진단일준공일자위치전경사진정,측면 기타사진취합기관시설물주요제원
8659화성시BR2009-0000177교량도로교량1종원천리천교B등급201707082019070820081130경기도 화성시http://www.fms.or.kr/upload_data/facility/photo/20140503001633_BR2009-0000177_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503004985_BR2009-0000177_other.jpg화성시청 안전정책과형식 : 강박스거더교(STB)Ð연장 : 140.0 m, 차로수 : 6Ð경간수 : 3Ð최대경간장 : 60
12303군포시BR2010-0000734교량도로교량2종금정IC교-3교B등급201507262017072619920425경기도 군포시http://www.fms.or.kr/upload_data/facility/photo/20140503002493_BR2010-0000734_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503005843_BR2010-0000734_other.jpg군포시청 안전도시과형식 : 강박스거더교(STB)Ð연장 : 186.0 m, 차로수 : 2Ð경간수 : 5Ð최대경간장 : 49
12290군포시BR2010-0000733교량도로교량2종금정IC교-2교B등급201507262017072619920425경기도 군포시http://www.fms.or.kr/upload_data/facility/photo/20140503002492_BR2010-0000733_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503005842_BR2010-0000733_other.jpg군포시청 안전도시과형식 : 강박스거더교(STB)Ð연장 : 184.0 m, 차로수 : 2Ð경간수 : 5Ð최대경간장 : 49
10927시흥시BR1994-0000002교량도로교량2종거모3교(강릉)B등급201611112018111119940101경기도 시흥시<NA><NA>수도권본부 구조물안전팀, 도로팀형식 : PSCBÐ연장 : 395.2 m, 차로수 : 3Ð경간수 : 9Ð최대경간장 : 45
22549포천시DA2008-0000105댐용수전용댐2종우금저수지C등급201607152018071519581231경기도 포천시<NA><NA>한국농어촌공사댐형식 : 필댐-록필(사력,석괴)죤형Ð댐체높이 : 14.0 m, 길이 : 245.0 mÐ저수용량 : 1 백만 m³
25621안성시WS1994-0000004상하수도지방상수도2종대덕배수지B등급201406272016062719940101경기도 안성시http://www.fms.or.kr/upload_data/facility/photo/20150302114403340_WS1994-0000004_front.pnghttp://www.fms.or.kr/upload_data/facility/photo/20150302114403354_WS1994-0000004_other.png안성시청 안전총괄과취수시설 : 팔당호Ð관로시설 : 도송수관로Ð배수지 : 8,400 m³/일
13584화성시BR2016-0000620교량도로교량2종무봉교(하행)양호201706302019113020161130경기도 화성시http://www.fms.or.kr/upload_data/facility/photo/20170215162928775_BR2016-0000620_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20170215162928791_BR2016-0000620_other.jpgLH 경기본부(토목)형식 : IPC거더Ð연장 : 434.3 m, 차로수 : 2Ð경간수 : 9Ð최대경간장 : 48
26391남양주시WS1998-0000008상하수도지방상수도2종용정배수지A등급201606292019062919980101경기도 남양주시<NA><NA>남양주시 안전기획과취수시설 : 하천표류수Ð관로시설 : 도송수관로Ð배수지 : 2,400 m³/일
12591수원시BR2007-0000294교량도로교량2종능안육교(인천1)B등급201703132019031320010510경기도 수원시 영통구http://www.fms.or.kr/upload_data/facility/photo/20140503000993_BR2007-0000294_front.jpg<NA>수도권본부 구조물안전팀, 도로팀형식 : 프리플렉스빔교(PF)Ð연장 : 50.0 m, 차로수 : 2Ð경간수 : 1Ð최대경간장 : 50
9172시흥시BR1999-0000176교량도로교량1종조남JCR-B교B등급201512092017120919991130경기도 시흥시<NA><NA>수도권본부 구조물안전팀, 도로팀형식 : 강박스거더교(STB)Ð연장 : 135.0 m, 차로수 : 1Ð경간수 : 3Ð최대경간장 : 55
시군명시설물번호시설물구분시설물종류시설물종별시설물명안전등급최근점검진단일차기점검진단일준공일자위치전경사진정,측면 기타사진취합기관시설물주요제원
23596연천군ST1998-0000008상하수도공공하수처리시설2종연천하수종말처리장B등급201608272018082719980620경기도 연천군http://www.fms.or.kr/upload_data/facility/photo/20140503007310_ST1998-0000008_front.JPGhttp://www.fms.or.kr/upload_data/facility/photo/20140503010355_ST1998-0000008_other.JPG연천군청 안전행정과처리방식 : 침사지Ð일평균 : 17,000 mÐ일최대 : 17,000 mÐ시간최대 : 20,000 m
12995양주시BR2013-0000004교량도로교량2종도하2교B등급201707112019071120121227경기도 양주시http://www.fms.or.kr/upload_data/facility/photo/20140503003474_BR2013-0000004_front.bmphttp://www.fms.or.kr/upload_data/facility/photo/20140503006813_BR2013-0000004_other.bmp건설본부 도로건설과형식 : 강박스거더교(STB)Ð연장 : 55.0 m, 차로수 : 4Ð경간수 : 1Ð최대경간장 : 55
25783남양주시WS2005-0000152상하수도지방상수도2종묵현가압장보통201703312018022420150224경기도 남양주시http://www.fms.or.kr/upload_data/facility/photo/20170220102428340_WS2005-0000152_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20170220102428357_WS2005-0000152_other.jpg남양주시 안전기획과가압장 : 35,000 m³/일Ð
13561용인시BR2005-0000272교량도로교량2종묘봉교(하)B등급201607082018070820041230경기도 용인시<NA><NA>서울지방국토관리청 건설관리실형식 : PC빔교(PC I)Ð연장 : 180.0 m, 차로수 : 4Ð경간수 : 6Ð최대경간장 : 30
21979연천군BR2004-0000230교량철도교량2종장거천B등급201612152018121519140816경기도 연천군http://www.fms.or.kr/upload_data/facility/photo/20140503000042_BR2004-0000230_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503003495_BR2004-0000230_other.jpg한국철도공사 시설기술단토목시설처형식 : 강판형교(SPG)Ð연장 : 100.6 m, 차로수 : Ð경간수 : 8Ð최대경간장 : 13
9082용인시BR2009-0000178교량도로교량1종제34호교통광장RAMP교B등급201606052018060520081210경기도 용인시 기흥구http://www.fms.or.kr/upload_data/facility/photo/20140503001634_BR2009-0000178_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503004986_BR2009-0000178_other.jpg용인시청 안전총괄과형식 : 강박스거더교(STB)Ð연장 : 88.5 m, 차로수 : 2Ð경간수 : 2Ð최대경간장 : 54
24890이천시WS1992-0000007상하수도지방상수도1종이천정수장(1)B등급201510102017101019920101경기도 이천시<NA><NA>이천시청 안전총괄과취수시설 : 하천표류수Ð취수장 : 66,000 m³/일Ð관로시설 : 취수관로Ð정수장 : 30,000 m³/일Ð배수지 : 10,000 m³/일
28020수원시RW2007-0000027옹벽도로옹벽2종군부대 도로옹벽B등급201604162018041620070223경기도 수원시 권선구<NA><NA>수원시청 시민안전과형식 : T형Ð연장 : 240.0 mÐ높이 : 5.0 m
23120동두천시ST2006-0000021상하수도공공하수처리시설2종동두천시하수종말처리시설3단계A등급201504112018041120060213경기도 동두천시http://www.fms.or.kr/upload_data/facility/photo/20140503007417_ST2006-0000021_fronthttp://www.fms.or.kr/upload_data/facility/photo/20140503010437_ST2006-0000021_other동두천시청 안전총괄과처리방식 : 간헐포기식접촉산화법Ð일평균 : 16,000 mÐ일최대 : 18,000 mÐ시간최대 : 27,000 m
9444용인시BR2009-0000600교량도로교량1종청명RAMP-B1교B등급201612172018121720090829경기도 용인시 기흥구http://www.fms.or.kr/upload_data/facility/photo/20140503001881_BR2009-0000600_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503005233_BR2009-0000600_other.jpg용인시청 안전총괄과형식 : 강박스거더교(STB)Ð연장 : 145.0 m, 차로수 : 1Ð경간수 : 3Ð최대경간장 : 60

Duplicate rows

Most frequently occurring

시군명시설물번호시설물구분시설물종류시설물종별시설물명안전등급최근점검진단일차기점검진단일준공일자위치전경사진정,측면 기타사진취합기관시설물주요제원# duplicates
245과천시AR2011-0002266건축물다중이용건축물2종과천시장애인종합복지관양호201706072020010120110518경기도 과천시http://www.fms.or.kr/upload_data/facility/photo/20170306090624370_AR2011-0002266_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20170306090624444_AR2011-0002266_other.jpg과천시청 안전총괄과형식 : 철근콘크리트구조Ð연면적 : 6,810.4 m²Ð지상 3층, 지하 2층9
272광명시BR1995-0000020교량도로교량2종일직JC4교B등급201704022019040219950101경기도 광명시<NA><NA>수도권본부 구조물안전팀, 도로팀형식 : 강박스거더교(STB)Ð연장 : 115.0 m, 차로수 : 1Ð경간수 : 3Ð최대경간장 : 459
478군포시CS2004-0000176교량복개구조물1종당정천복개도로B등급201612262018122620041018경기도 군포시<NA><NA>군포시청 안전도시과형식 : 미등록Ð연장 : 2,300.0 mÐ경간수 : 1159
1920의정부시AR2014-0003550건축물철도역시설2종회룡(통합)역사양호201705182018112720141127경기도 의정부시http://www.fms.or.kr/upload_data/facility/photo/20151123053303931_AR2014-0003550_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20151123053303967_AR2014-0003550_other.jpg한국철도공사 건축기술처형식 : 철골구조Ð연면적 : 3,822.3 m²Ð지상 2층9
2109파주시RW2008-0000102옹벽건축물옹벽2종파주문산 당동 지방산업단지 압축토옹벽(A-1구간)A등급201605092020050920080531경기도 파주시http://www.fms.or.kr/upload_data/facility/photo/20140503006233_RW2008-0000102_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503009345_RW2008-0000102_other.jpg파주시청 안전총괄과형식 : 압축토(PEM)옹벽Ð연장 : 152.5 mÐ높이 : 10.5 m9
2465화성시DA2009-0000044댐용수전용댐2종덕우저수지C등급201511302017113019491231경기도 화성시http://www.fms.or.kr/upload_data/facility/photo/20140503004627_DA2009-0000044_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20140503007887_DA2009-0000044_other.jpg한국농어촌공사댐형식 : 필댐-어스(흙)코아형Ð댐체높이 : 14.0 m, 길이 : 387.0 mÐ저수용량 : 4 백만 m³9
124고양시BR1993-0000181교량도로교량2종영주교C등급201707212019072119931231경기도 고양시 덕양구<NA><NA>고양시청 덕양구청형식 : 라멘교(RA)Ð연장 : 308.7 m, 차로수 : 8Ð경간수 : 6Ð최대경간장 : 08
404구리시BR1997-0000013교량도로교량2종사노교B등급201605202018052019970101경기도 구리시<NA><NA>구리시청 안전총괄과형식 : PSC I BEAMÐ연장 : 210.0 m, 차로수 : 4Ð경간수 : 6Ð최대경간장 : 358
814성남시AR2017-0000855건축물대형건축물2종성남종합스포츠센터양호201710202021012620170126경기도 성남시 중원구http://www.fms.or.kr/upload_data/facility/photo/20170412111845536_AR2017-0000855_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20170418151529200_AR2017-0000855_other.jpg성남시청 재난안전관형식 : 철골,철근콘크리트구조 및 복합구조Ð연면적 : 33,471.9 m²Ð지상 7층, 지하 3층8
1021시흥시BR1999-0000016교량도로교량2종안현JCR-A1교B등급201605272018052719990101경기도 시흥시http://www.fms.or.kr/upload_data/facility/photo/20160929155052509_BR1999-0000016_front.jpghttp://www.fms.or.kr/upload_data/facility/photo/20160929155052524_BR1999-0000016_other.jpg수도권본부 구조물안전팀, 도로팀형식 : 강박스거더교(STB)Ð연장 : 55.1 m, 차로수 : 2Ð경간수 : 1Ð최대경간장 : 558