Overview

Dataset statistics

Number of variables8
Number of observations2692
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory171.0 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Categorical1
Text6

Dataset

Description서해에 있는 선박에게 암초나 수심이 얕은 곳 등의 장애물의 존재나 항로를 표시하기 위하여 해저에 침추를 설치하여 해면상에 뜨게한 구조물의 정보를 담고 있다.
URLhttps://www.data.go.kr/data/15113424/fileData.do

Alerts

공간정보일련번호(gid) is highly overall correlated with 자료출처명(mtr_ogn_nm)High correlation
자료출처명(mtr_ogn_nm) is highly overall correlated with 공간정보일련번호(gid)High correlation
공간정보일련번호(gid) has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:35:58.783072
Analysis finished2023-12-12 12:35:59.573663
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보일련번호(gid)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2692
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1346.5
Minimum1
Maximum2692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.8 KiB
2023-12-12T21:35:59.648353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile135.55
Q1673.75
median1346.5
Q32019.25
95-th percentile2557.45
Maximum2692
Range2691
Interquartile range (IQR)1345.5

Descriptive statistics

Standard deviation777.25779
Coefficient of variation (CV)0.57724306
Kurtosis-1.2
Mean1346.5
Median Absolute Deviation (MAD)673
Skewness0
Sum3624778
Variance604129.67
MonotonicityNot monotonic
2023-12-12T21:35:59.796642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1799 1
 
< 0.1%
1791 1
 
< 0.1%
1792 1
 
< 0.1%
1793 1
 
< 0.1%
1794 1
 
< 0.1%
1795 1
 
< 0.1%
1796 1
 
< 0.1%
1797 1
 
< 0.1%
1798 1
 
< 0.1%
Other values (2682) 2682
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2692 1
< 0.1%
2691 1
< 0.1%
2690 1
< 0.1%
2689 1
< 0.1%
2688 1
< 0.1%
2687 1
< 0.1%
2686 1
< 0.1%
2685 1
< 0.1%
2684 1
< 0.1%
2683 1
< 0.1%

자료출처명(mtr_ogn_nm)
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2013항행통보연보
473 
2015항행통보연보
440 
2012항행통보연보
429 
2014항행통보연보
324 
2016항행통보연보
310 
Other values (3)
716 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2012항행통보연보
2nd row2012항행통보연보
3rd row2012항행통보연보
4th row2012항행통보연보
5th row2012항행통보연보

Common Values

ValueCountFrequency (%)
2013항행통보연보 473
17.6%
2015항행통보연보 440
16.3%
2012항행통보연보 429
15.9%
2014항행통보연보 324
12.0%
2016항행통보연보 310
11.5%
2017항행통보연보 264
9.8%
2018항행통보연보 261
9.7%
2019항행통보연보 191
7.1%

Length

2023-12-12T21:35:59.929960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:36:00.032588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013항행통보연보 473
17.6%
2015항행통보연보 440
16.3%
2012항행통보연보 429
15.9%
2014항행통보연보 324
12.0%
2016항행통보연보 310
11.5%
2017항행통보연보 264
9.8%
2018항행통보연보 261
9.7%
2019항행통보연보 191
7.1%

자료출처상세(mtr_ogn_dtl)
Text

Distinct759
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2023-12-12T21:36:00.281120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.765602
Min length10

Characters and Unicode

Total characters34365
Distinct characters16
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)6.1%

Sample

1st row2012년1호21항
2nd row2012년1호21항
3rd row2012년2호41항
4th row2012년2호41항
5th row2012년2호41항
ValueCountFrequency (%)
2012년41호662항(t 50
 
1.9%
2011년38호580항(t 49
 
1.8%
2012년38호605항(t 32
 
1.2%
2012년30호439항(t 32
 
1.2%
2012년37호580항(t 29
 
1.1%
2013년18호323항 26
 
1.0%
2017년1호21항 24
 
0.9%
2019년16호321항 22
 
0.8%
2011년22호287항(t 20
 
0.7%
2012년35호540항(t 20
 
0.7%
Other values (749) 2388
88.7%
2023-12-12T21:36:00.686134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4991
14.5%
1 4520
13.2%
0 3588
10.4%
년 2692
7.8%
호 2692
7.8%
항 2686
7.8%
3 2154
 
6.3%
4 1908
 
5.6%
5 1542
 
4.5%
6 1376
 
4.0%
Other values (6) 6216
18.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23706
69.0%
Other Letter 8070
 
23.5%
Open Punctuation 863
 
2.5%
Uppercase Letter 863
 
2.5%
Close Punctuation 863
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4991
21.1%
1 4520
19.1%
0 3588
15.1%
3 2154
9.1%
4 1908
 
8.0%
5 1542
 
6.5%
6 1376
 
5.8%
8 1255
 
5.3%
7 1210
 
5.1%
9 1162
 
4.9%
Other Letter
ValueCountFrequency (%)
년 2692
33.4%
호 2692
33.4%
항 2686
33.3%
Open Punctuation
ValueCountFrequency (%)
( 863
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 863
100.0%
Close Punctuation
ValueCountFrequency (%)
) 863
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25432
74.0%
Hangul 8070
 
23.5%
Latin 863
 
2.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4991
19.6%
1 4520
17.8%
0 3588
14.1%
3 2154
8.5%
4 1908
 
7.5%
5 1542
 
6.1%
6 1376
 
5.4%
8 1255
 
4.9%
7 1210
 
4.8%
9 1162
 
4.6%
Other values (2) 1726
 
6.8%
Hangul
ValueCountFrequency (%)
년 2692
33.4%
호 2692
33.4%
항 2686
33.3%
Latin
ValueCountFrequency (%)
T 863
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26295
76.5%
Hangul 8070
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4991
19.0%
1 4520
17.2%
0 3588
13.6%
3 2154
8.2%
4 1908
 
7.3%
5 1542
 
5.9%
6 1376
 
5.2%
8 1255
 
4.8%
7 1210
 
4.6%
9 1162
 
4.4%
Other values (3) 2589
9.8%
Hangul
ValueCountFrequency (%)
년 2692
33.4%
호 2692
33.4%
항 2686
33.3%

등부표위치명(lghtby_lc_nm)
Text

Distinct202
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2023-12-12T21:36:00.985535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length11.174963
Min length7

Characters and Unicode

Total characters30083
Distinct characters108
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)1.3%

Sample

1st row서해안 ～ 목포,목포항
2nd row서해안 ～ 목포,목포항
3rd row서해안 ～ 화성,서신
4th row서해안 ～ 화성,서신
5th row서해안 ～ 화성,서신
ValueCountFrequency (%)
부근 1256
19.0%
서해안 1226
18.5%
∼ 581
 
8.8%
～ 552
 
8.3%
인천항 218
 
3.3%
평택당진항 185
 
2.8%
서해안∼인천항부근 170
 
2.6%
서해안∼군산항부근 125
 
1.9%
서해안∼평택당진항부근 97
 
1.5%
대산항 97
 
1.5%
Other values (173) 2107
31.9%
2023-12-12T21:36:01.444912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3922
13.0%
안 2833
 
9.4%
서 2823
 
9.4%
해 2718
 
9.0%
부 2598
 
8.6%
근 2471
 
8.2%
항 2256
 
7.5%
∼ 1736
 
5.8%
도 747
 
2.5%
～ 674
 
2.2%
Other values (98) 7305
24.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23063
76.7%
Space Separator 3922
 
13.0%
Math Symbol 2694
 
9.0%
Other Punctuation 404
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 2833
12.3%
서 2823
12.2%
해 2718
11.8%
부 2598
11.3%
근 2471
10.7%
항 2256
9.8%
도 747
 
3.2%
인 535
 
2.3%
산 523
 
2.3%
천 442
 
1.9%
Other values (92) 5117
22.2%
Math Symbol
ValueCountFrequency (%)
∼ 1736
64.4%
～ 674
 
25.0%
~ 284
 
10.5%
Other Punctuation
ValueCountFrequency (%)
, 327
80.9%
· 77
 
19.1%
Space Separator
ValueCountFrequency (%)
3922
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23063
76.7%
Common 7020
 
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 2833
12.3%
서 2823
12.2%
해 2718
11.8%
부 2598
11.3%
근 2471
10.7%
항 2256
9.8%
도 747
 
3.2%
인 535
 
2.3%
산 523
 
2.3%
천 442
 
1.9%
Other values (92) 5117
22.2%
Common
ValueCountFrequency (%)
3922
55.9%
∼ 1736
24.7%
～ 674
 
9.6%
, 327
 
4.7%
~ 284
 
4.0%
· 77
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23063
76.7%
ASCII 4533
 
15.1%
Math Operators 1736
 
5.8%
None 751
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3922
86.5%
, 327
 
7.2%
~ 284
 
6.3%
Hangul
ValueCountFrequency (%)
안 2833
12.3%
서 2823
12.2%
해 2718
11.8%
부 2598
11.3%
근 2471
10.7%
항 2256
9.8%
도 747
 
3.2%
인 535
 
2.3%
산 523
 
2.3%
천 442
 
1.9%
Other values (92) 5117
22.2%
Math Operators
ValueCountFrequency (%)
∼ 1736
100.0%
None
ValueCountFrequency (%)
～ 674
89.7%
· 77
 
10.3%

도분초위도(dms_la)
Text

Distinct1389
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2023-12-12T21:36:01.722785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters29612
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)25.8%

Sample

1st row34-45-27.0N
2nd row34-45-47.0N
3rd row37-11-12.1N
4th row37-11-18.5N
5th row37-11-10.8N
ValueCountFrequency (%)
34-51-30.0n 30
 
1.1%
34-51-44.5n 20
 
0.7%
34-51-28.1n 20
 
0.7%
37-01-05.5n 11
 
0.4%
34-51-46.3n 10
 
0.4%
37-01-34.3n 10
 
0.4%
37-01-42.0n 10
 
0.4%
34-51-46.2n 10
 
0.4%
34-51-30.4n 9
 
0.3%
37-03-13.0n 9
 
0.3%
Other values (1379) 2553
94.8%
2023-12-12T21:36:02.206188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5384
18.2%
3 4135
14.0%
0 2770
9.4%
. 2692
9.1%
N 2692
9.1%
5 2240
7.6%
4 2058
 
6.9%
7 1869
 
6.3%
1 1642
 
5.5%
2 1532
 
5.2%
Other values (3) 2598
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18844
63.6%
Dash Punctuation 5384
 
18.2%
Other Punctuation 2692
 
9.1%
Uppercase Letter 2692
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 4135
21.9%
0 2770
14.7%
5 2240
11.9%
4 2058
10.9%
7 1869
9.9%
1 1642
 
8.7%
2 1532
 
8.1%
6 1133
 
6.0%
9 785
 
4.2%
8 680
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 5384
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2692
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 2692
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26920
90.9%
Latin 2692
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5384
20.0%
3 4135
15.4%
0 2770
10.3%
. 2692
10.0%
5 2240
8.3%
4 2058
 
7.6%
7 1869
 
6.9%
1 1642
 
6.1%
2 1532
 
5.7%
6 1133
 
4.2%
Other values (2) 1465
 
5.4%
Latin
ValueCountFrequency (%)
N 2692
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5384
18.2%
3 4135
14.0%
0 2770
9.4%
. 2692
9.1%
N 2692
9.1%
5 2240
7.6%
4 2058
 
6.9%
7 1869
 
6.3%
1 1642
 
5.5%
2 1532
 
5.2%
Other values (3) 2598
8.8%

도분초경도(dms_lo)
Text

Distinct1391
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2023-12-12T21:36:02.566311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.999629
Min length11

Characters and Unicode

Total characters32303
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique680 ?
Unique (%)25.3%

Sample

1st row126-20-25.7E
2nd row126-20-49.1E
3rd row126-38-49.2E
4th row126-38-57.8E
5th row126-38-51.4E
ValueCountFrequency (%)
126-09-45.6e 11
 
0.4%
126-12-13.5e 10
 
0.4%
126-10-48.7e 8
 
0.3%
126-12-22.7e 8
 
0.3%
126-13-13.0e 8
 
0.3%
126-09-58.4e 8
 
0.3%
126-24-02.8e 7
 
0.3%
126-08-42.0e 7
 
0.3%
126-10-30.3e 7
 
0.3%
126-40-01.0e 7
 
0.3%
Other values (1381) 2611
97.0%
2023-12-12T21:36:03.113579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5384
16.7%
2 4781
14.8%
1 4370
13.5%
6 3239
10.0%
. 2692
8.3%
E 2691
8.3%
0 2047
 
6.3%
3 2047
 
6.3%
4 1537
 
4.8%
5 1457
 
4.5%
Other values (3) 2058
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21536
66.7%
Dash Punctuation 5384
 
16.7%
Other Punctuation 2692
 
8.3%
Uppercase Letter 2691
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4781
22.2%
1 4370
20.3%
6 3239
15.0%
0 2047
9.5%
3 2047
9.5%
4 1537
 
7.1%
5 1457
 
6.8%
8 727
 
3.4%
7 719
 
3.3%
9 612
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 5384
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2692
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 2691
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29612
91.7%
Latin 2691
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5384
18.2%
2 4781
16.1%
1 4370
14.8%
6 3239
10.9%
. 2692
9.1%
0 2047
 
6.9%
3 2047
 
6.9%
4 1537
 
5.2%
5 1457
 
4.9%
8 727
 
2.5%
Other values (2) 1331
 
4.5%
Latin
ValueCountFrequency (%)
E 2691
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32303
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5384
16.7%
2 4781
14.8%
1 4370
13.5%
6 3239
10.0%
. 2692
8.3%
E 2691
8.3%
0 2047
 
6.3%
3 2047
 
6.3%
4 1537
 
4.8%
5 1457
 
4.5%
Other values (3) 2058
 
6.4%

등부표명(lghtby_nm)
Text

Distinct639
Distinct (%)23.7%
Missing1
Missing (%)< 0.1%
Memory size21.2 KiB
2023-12-12T21:36:03.442649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length13.712746
Min length1

Characters and Unicode

Total characters36901
Distinct characters106
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

Unique313 ?
Unique (%)11.6%

Sample

1st rowFl(4)Y 8s(No.A)
2nd rowFl(4)Y 8s(No.B)
3rd rowFl(4)Y 8s(No.A)
4th rowFl(4)Y 8s(No.B)
5th rowFl(4)Y 8s(No.C)
ValueCountFrequency (%)
y 504
 
10.9%
fl(4 397
 
8.6%
fl(4)y 229
 
5.0%
fl(4)y8s(no.a 212
 
4.6%
fl(4)y8s(no.b 197
 
4.3%
8s(no.a 175
 
3.8%
fl 160
 
3.5%
8s(no.b 156
 
3.4%
r 109
 
2.4%
fl(4)y8s(no.c 98
 
2.1%
Other values (520) 2371
51.5%
2023-12-12T21:36:03.963295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 4498
12.2%
) 4494
12.2%
s 2606
 
7.1%
F 2573
 
7.0%
N 2458
 
6.7%
. 2457
 
6.7%
l 2330
 
6.3%
o 2312
 
6.3%
4 2056
 
5.6%
Y 1929
 
5.2%
Other values (96) 9188
24.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 9974
27.0%
Lowercase Letter 7282
19.7%
Decimal Number 5643
15.3%
Open Punctuation 4498
12.2%
Close Punctuation 4494
12.2%
Other Punctuation 2460
 
6.7%
Space Separator 1917
 
5.2%
Other Letter 616
 
1.7%
Math Symbol 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 47
 
7.6%
부 46
 
7.5%
표 46
 
7.5%
호 45
 
7.3%
제 42
 
6.8%
항 40
 
6.5%
택 32
 
5.2%
대 26
 
4.2%
지 20
 
3.2%
산 18
 
2.9%
Other values (47) 254
41.2%
Uppercase Letter
ValueCountFrequency (%)
F 2573
25.8%
N 2458
24.6%
Y 1929
19.3%
A 624
 
6.3%
B 550
 
5.5%
R 322
 
3.2%
G 306
 
3.1%
C 248
 
2.5%
O 223
 
2.2%
D 220
 
2.2%
Other values (16) 521
 
5.2%
Decimal Number
ValueCountFrequency (%)
4 2056
36.4%
8 1586
28.1%
1 455
 
8.1%
2 441
 
7.8%
6 340
 
6.0%
3 290
 
5.1%
5 167
 
3.0%
7 155
 
2.7%
0 109
 
1.9%
9 44
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
s 2606
35.8%
l 2330
32.0%
o 2312
31.7%
u 31
 
0.4%
n 1
 
< 0.1%
r 1
 
< 0.1%
m 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 2457
99.9%
, 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4498
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4494
100.0%
Space Separator
ValueCountFrequency (%)
1917
100.0%
Math Symbol
ValueCountFrequency (%)
+ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19029
51.6%
Latin 17256
46.8%
Hangul 616
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 47
 
7.6%
부 46
 
7.5%
표 46
 
7.5%
호 45
 
7.3%
제 42
 
6.8%
항 40
 
6.5%
택 32
 
5.2%
대 26
 
4.2%
지 20
 
3.2%
산 18
 
2.9%
Other values (47) 254
41.2%
Latin
ValueCountFrequency (%)
s 2606
15.1%
F 2573
14.9%
N 2458
14.2%
l 2330
13.5%
o 2312
13.4%
Y 1929
11.2%
A 624
 
3.6%
B 550
 
3.2%
R 322
 
1.9%
G 306
 
1.8%
Other values (23) 1246
7.2%
Common
ValueCountFrequency (%)
( 4498
23.6%
) 4494
23.6%
. 2457
12.9%
4 2056
10.8%
1917
10.1%
8 1586
 
8.3%
1 455
 
2.4%
2 441
 
2.3%
6 340
 
1.8%
3 290
 
1.5%
Other values (6) 495
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36285
98.3%
Hangul 616
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 4498
12.4%
) 4494
12.4%
s 2606
 
7.2%
F 2573
 
7.1%
N 2458
 
6.8%
. 2457
 
6.8%
l 2330
 
6.4%
o 2312
 
6.4%
4 2056
 
5.7%
Y 1929
 
5.3%
Other values (39) 8572
23.6%
Hangul
ValueCountFrequency (%)
등 47
 
7.6%
부 46
 
7.5%
표 46
 
7.5%
호 45
 
7.3%
제 42
 
6.8%
항 40
 
6.5%
택 32
 
5.2%
대 26
 
4.2%
지 20
 
3.2%
산 18
 
2.9%
Other values (47) 254
41.2%

비고내용(rm_cn)
Text

Distinct169
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2023-12-12T21:36:04.140888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length2
Mean length3.2091382
Min length2

Characters and Unicode

Total characters8639
Distinct characters58
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

Unique131 ?
Unique (%)4.9%

Sample

1st row기재
2nd row기재
3rd row삭제
4th row삭제
5th row삭제
ValueCountFrequency (%)
기재 900
32.3%
삭제 515
18.5%
이동전 376
13.5%
이동후 370
13.3%
정지 159
 
5.7%
복구 54
 
1.9%
정정(등질 40
 
1.4%
변경전 30
 
1.1%
변경후 28
 
1.0%
y 15
 
0.5%
Other values (178) 299
 
10.7%
2023-12-12T21:36:04.516948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 901
 
10.4%
재 901
 
10.4%
이 746
 
8.6%
동 746
 
8.6%
삭 515
 
6.0%
제 515
 
6.0%
전 436
 
5.0%
후 429
 
5.0%
) 415
 
4.8%
정 415
 
4.8%
Other values (48) 2620
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6342
73.4%
Uppercase Letter 452
 
5.2%
Close Punctuation 415
 
4.8%
Open Punctuation 415
 
4.8%
Decimal Number 391
 
4.5%
Lowercase Letter 381
 
4.4%
Other Punctuation 149
 
1.7%
Space Separator 94
 
1.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 154
34.1%
F 118
26.1%
Y 48
 
10.6%
G 36
 
8.0%
R 33
 
7.3%
C 9
 
2.0%
A 7
 
1.5%
B 6
 
1.3%
D 6
 
1.3%
M 5
 
1.1%
Other values (11) 30
 
6.6%
Other Letter
ValueCountFrequency (%)
기 901
14.2%
재 901
14.2%
이 746
11.8%
동 746
11.8%
삭 515
8.1%
제 515
8.1%
전 436
6.9%
후 429
6.8%
정 415
6.5%
경 190
 
3.0%
Other values (10) 548
8.6%
Decimal Number
ValueCountFrequency (%)
4 82
21.0%
2 57
14.6%
1 52
13.3%
8 52
13.3%
3 47
12.0%
7 33
8.4%
6 31
 
7.9%
5 21
 
5.4%
9 9
 
2.3%
0 7
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
o 150
39.4%
l 116
30.4%
s 115
30.2%
Close Punctuation
ValueCountFrequency (%)
) 415
100.0%
Open Punctuation
ValueCountFrequency (%)
( 415
100.0%
Other Punctuation
ValueCountFrequency (%)
. 149
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6342
73.4%
Common 1464
 
16.9%
Latin 833
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 154
18.5%
o 150
18.0%
F 118
14.2%
l 116
13.9%
s 115
13.8%
Y 48
 
5.8%
G 36
 
4.3%
R 33
 
4.0%
C 9
 
1.1%
A 7
 
0.8%
Other values (14) 47
 
5.6%
Hangul
ValueCountFrequency (%)
기 901
14.2%
재 901
14.2%
이 746
11.8%
동 746
11.8%
삭 515
8.1%
제 515
8.1%
전 436
6.9%
후 429
6.8%
정 415
6.5%
경 190
 
3.0%
Other values (10) 548
8.6%
Common
ValueCountFrequency (%)
) 415
28.3%
( 415
28.3%
. 149
 
10.2%
94
 
6.4%
4 82
 
5.6%
2 57
 
3.9%
1 52
 
3.6%
8 52
 
3.6%
3 47
 
3.2%
7 33
 
2.3%
Other values (4) 68
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6342
73.4%
ASCII 2297
 
26.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 901
14.2%
재 901
14.2%
이 746
11.8%
동 746
11.8%
삭 515
8.1%
제 515
8.1%
전 436
6.9%
후 429
6.8%
정 415
6.5%
경 190
 
3.0%
Other values (10) 548
8.6%
ASCII
ValueCountFrequency (%)
) 415
18.1%
( 415
18.1%
N 154
 
6.7%
o 150
 
6.5%
. 149
 
6.5%
F 118
 
5.1%
l 116
 
5.1%
s 115
 
5.0%
94
 
4.1%
4 82
 
3.6%
Other values (28) 489
21.3%

Interactions

2023-12-12T21:35:59.188745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:36:04.611088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보일련번호(gid)자료출처명(mtr_ogn_nm)
공간정보일련번호(gid)1.0000.930
자료출처명(mtr_ogn_nm)0.9301.000
2023-12-12T21:36:04.688707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보일련번호(gid)자료출처명(mtr_ogn_nm)
공간정보일련번호(gid)1.0000.794
자료출처명(mtr_ogn_nm)0.7941.000

Missing values

2023-12-12T21:35:59.314422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:35:59.499772image/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.

Sample

공간정보일련번호(gid)자료출처명(mtr_ogn_nm)자료출처상세(mtr_ogn_dtl)등부표위치명(lghtby_lc_nm)도분초위도(dms_la)도분초경도(dms_lo)등부표명(lghtby_nm)비고내용(rm_cn)
012012항행통보연보2012년1호21항서해안 ～ 목포,목포항34-45-27.0N126-20-25.7EFl(4)Y 8s(No.A)기재
122012항행통보연보2012년1호21항서해안 ～ 목포,목포항34-45-47.0N126-20-49.1EFl(4)Y 8s(No.B)기재
232012항행통보연보2012년2호41항서해안 ～ 화성,서신37-11-12.1N126-38-49.2EFl(4)Y 8s(No.A)삭제
342012항행통보연보2012년2호41항서해안 ～ 화성,서신37-11-18.5N126-38-57.8EFl(4)Y 8s(No.B)삭제
452012항행통보연보2012년2호41항서해안 ～ 화성,서신37-11-10.8N126-38-51.4EFl(4)Y 8s(No.C)삭제
562012항행통보연보2012년3호56항서해안 ～ 목포,목포항34-46-17.0N126-21-18.3EFl(4)Y 8s(No.A)삭제
672012항행통보연보2012년3호61항서해안 ～ 서산,대산37-00-24.2N126-16-12.7EQ(6)+LFl15s(No.A)복구
782012항행통보연보2012년3호61항서해안 ～ 서산,대산37-01-56.7N126-22-10.5EFl(3)R 7s(No.14)복구
892012항행통보연보2012년3호61항서해안 ～ 서산,대산37-02-30.0N126-19-18.0EFlR 5s(No.2)복구
9102012항행통보연보2012년4호65항서해안 ～ 평택,평택당진항36-58-53.0N126-46-10.0EFlY 4s(No.C)삭제
공간정보일련번호(gid)자료출처명(mtr_ogn_nm)자료출처상세(mtr_ogn_dtl)등부표위치명(lghtby_lc_nm)도분초위도(dms_la)도분초경도(dms_lo)등부표명(lghtby_nm)비고내용(rm_cn)
268226832019항행통보연보2019년41호952항서해안~군산항 부근35-59-38.0N126-42-58.0E(NO.A)변경전
268326842019항행통보연보2019년41호952항서해안~군산항 부근35-59-38.0N126-42-58.0EF1BuY3s(NO.A)변경후
268426852019항행통보연보2019년41호961항서해안~안흥항 부근36-40-48.4N126-12-22.7EF1G5s변경전
268526862019항행통보연보2019년41호961항서해안~안흥항 부근36-40-48.4N126-12-22.7EF1(2)10s변경후
268626872019항행통보연보2019년46호1086항서해안~군산항 부근35-58-28.7N126-32-23.7EF1(4)Y8s(NO.A)이동전
268726882019항행통보연보2019년46호1086항서해안~군산항 부근35-59-02.4N126-34-30.2EF1(4)Y8s(NO.A)이동후
268826892019항행통보연보2019년47호1118항서해안~인천항 부근37-26-08.1N126-36-30.5EF1R5s(NO.6)변경전
268926902019항행통보연보2019년47호1118항서해안~인천항 부근37-26-08.0N126-36-30.0EF1R5s(NO.2)변경후
269026912019항행통보연보2019년47호1118항서해안~인천항 부근37-26-03.1N126-36-31.5EF1R4s(NO.8)변경전
269126922019항행통보연보2019년47호1118항서해안~인천항 부근37-26-03.0N126-36-31.0EF1R4s(NO.4)변경후