Overview

Dataset statistics

Number of variables8
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory66.0 B

Variable types

Categorical6
Text2

Dataset

Description강원특별자치도 항구에 대한 데이터를 제공합니다. - 제공 데이터 : 시도명, 시군구명, 항구명, 항구구분, 관리구분, 관리기관명 등
URLhttps://www.data.go.kr/data/15033678/fileData.do

Alerts

시도명 has constant value ""Constant
항구구분 is highly overall correlated with 관리구분 and 1 other fieldsHigh correlation
관리기관명 is highly overall correlated with 시군구명 and 2 other fieldsHigh correlation
연락처 is highly overall correlated with 시군구명 and 3 other fieldsHigh correlation
시군구명 is highly overall correlated with 관리기관명 and 1 other fieldsHigh correlation
관리구분 is highly overall correlated with 항구구분 and 2 other fieldsHigh correlation
항구구분 is highly imbalanced (64.9%)Imbalance

Reproduction

Analysis started2023-12-12 08:42:24.849503
Analysis finished2023-12-12 08:42:25.881674
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
강원특별자치도
65 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 65
100.0%

Length

2023-12-12T17:42:25.955524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:42:26.059554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 65
100.0%

시군구명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
삼척시
17 
고성군
14 
강릉시
13 
양양군
12 
동해시
5 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
삼척시 17
26.2%
고성군 14
21.5%
강릉시 13
20.0%
양양군 12
18.5%
동해시 5
 
7.7%
속초시 4
 
6.2%

Length

2023-12-12T17:42:26.191184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:42:26.324057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼척시 17
26.2%
고성군 14
21.5%
강릉시 13
20.0%
양양군 12
18.5%
동해시 5
 
7.7%
속초시 4
 
6.2%

항구명
Text

Distinct60
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T17:42:26.582665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.3692308
Min length3

Characters and Unicode

Total characters219
Distinct characters79
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

Unique56 ?
Unique (%)86.2%

Sample

1st row옥계항
2nd row주문진항
3rd row사천진항
4th row강릉항
5th row금진항
ValueCountFrequency (%)
대진항 3
 
4.6%
광진항 2
 
3.1%
호산항 2
 
3.1%
후진항 2
 
3.1%
동호항 1
 
1.5%
덕산항 1
 
1.5%
옥계항 1
 
1.5%
삼척항 1
 
1.5%
장호항 1
 
1.5%
궁촌항 1
 
1.5%
Other values (50) 50
76.9%
2023-12-12T17:42:27.000088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
항 65
29.7%
진 18
 
8.2%
호 7
 
3.2%
산 7
 
3.2%
문 5
 
2.3%
동 5
 
2.3%
대 4
 
1.8%
천 4
 
1.8%
암 4
 
1.8%
곡 4
 
1.8%
Other values (69) 96
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
97.3%
Open Punctuation 2
 
0.9%
Close Punctuation 2
 
0.9%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
항 65
30.5%
진 18
 
8.5%
호 7
 
3.3%
산 7
 
3.3%
문 5
 
2.3%
동 5
 
2.3%
대 4
 
1.9%
천 4
 
1.9%
암 4
 
1.9%
곡 4
 
1.9%
Other values (65) 90
42.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
97.3%
Common 6
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
항 65
30.5%
진 18
 
8.5%
호 7
 
3.3%
산 7
 
3.3%
문 5
 
2.3%
동 5
 
2.3%
대 4
 
1.9%
천 4
 
1.9%
암 4
 
1.9%
곡 4
 
1.9%
Other values (65) 90
42.3%
Common
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
1 1
16.7%
2 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
97.3%
ASCII 6
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
항 65
30.5%
진 18
 
8.5%
호 7
 
3.3%
산 7
 
3.3%
문 5
 
2.3%
동 5
 
2.3%
대 4
 
1.9%
천 4
 
1.9%
암 4
 
1.9%
곡 4
 
1.9%
Other values (65) 90
42.3%
ASCII
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
1 1
16.7%
2 1
16.7%

항구구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size652.0 B
어항
58 
무역항
6 
연안항
 
1

Length

Max length3
Median length2
Mean length2.1076923
Min length2

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row무역항
2nd row연안항
3rd row어항
4th row어항
5th row어항

Common Values

ValueCountFrequency (%)
어항 58
89.2%
무역항 6
 
9.2%
연안항 1
 
1.5%

Length

2023-12-12T17:42:27.196661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:42:27.322707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어항 58
89.2%
무역항 6
 
9.2%
연안항 1
 
1.5%

관리구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
어촌정주항
22 
국가어항
16 
지방어항
15 
소규모어항
8 
지방항만
4 

Length

Max length5
Median length4
Mean length4.4615385
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지방항만
2nd row지방항만
3rd row국가어항
4th row국가어항
5th row국가어항

Common Values

ValueCountFrequency (%)
어촌정주항 22
33.8%
국가어항 16
24.6%
지방어항 15
23.1%
소규모어항 8
 
12.3%
지방항만 4
 
6.2%

Length

2023-12-12T17:42:27.483066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:42:27.626878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어촌정주항 22
33.8%
국가어항 16
24.6%
지방어항 15
23.1%
소규모어항 8
 
12.3%
지방항만 4
 
6.2%

관리기관명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
강원특별자치도 글로벌본부
19 
동해지방해양수산청
16 
삼척시청
8 
양양군청
7 
강릉시청
6 
Other values (3)
9 

Length

Max length13
Median length9
Mean length7.8615385
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원특별자치도 글로벌본부
2nd row강원특별자치도 글로벌본부
3rd row동해지방해양수산청
4th row동해지방해양수산청
5th row동해지방해양수산청

Common Values

ValueCountFrequency (%)
강원특별자치도 글로벌본부 19
29.2%
동해지방해양수산청 16
24.6%
삼척시청 8
12.3%
양양군청 7
 
10.8%
강릉시청 6
 
9.2%
고성군청 4
 
6.2%
동해시청 3
 
4.6%
속초시청 2
 
3.1%

Length

2023-12-12T17:42:27.786637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:42:27.961396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 19
22.6%
글로벌본부 19
22.6%
동해지방해양수산청 16
19.0%
삼척시청 8
9.5%
양양군청 7
 
8.3%
강릉시청 6
 
7.1%
고성군청 4
 
4.8%
동해시청 3
 
3.6%
속초시청 2
 
2.4%

연락처
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
033-520-6259
14 
033-660-8338
14 
033-570-3414
8 
033-670-2411
7 
033-640-5377
6 
Other values (8)
16 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique3 ?
Unique (%)4.6%

Sample

1st row033-572-0313
2nd row033-640-5200
3rd row033-520-6259
4th row033-520-6259
5th row033-520-6259

Common Values

ValueCountFrequency (%)
033-520-6259 14
21.5%
033-660-8338 14
21.5%
033-570-3414 8
12.3%
033-670-2411 7
10.8%
033-640-5377 6
9.2%
033-680-3417 4
 
6.2%
033-530-2274 3
 
4.6%
033-520-6000 2
 
3.1%
033-660-8431 2
 
3.1%
033-639-2416 2
 
3.1%
Other values (3) 3
 
4.6%

Length

2023-12-12T17:42:28.138952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
033-520-6259 14
21.5%
033-660-8338 14
21.5%
033-570-3414 8
12.3%
033-670-2411 7
10.8%
033-640-5377 6
9.2%
033-680-3417 4
 
6.2%
033-530-2274 3
 
4.6%
033-520-6000 2
 
3.1%
033-660-8431 2
 
3.1%
033-639-2416 2
 
3.1%
Other values (3) 3
 
4.6%

소재지주소
Text

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-12T17:42:28.540931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.892308
Min length19

Characters and Unicode

Total characters1488
Distinct characters101
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

Unique61 ?
Unique (%)93.8%

Sample

1st row강원특별자치도 강릉시 옥계면 주수리 561-1
2nd row강원특별자치도 강릉시 주문진읍 주문리 312-512
3rd row강원특별자치도 강릉시 사천면 사천진리 2
4th row강원특별자치도 강릉시 견소동 286-10
5th row강원특별자치도 강릉시 옥계면 금진리 124-52
ValueCountFrequency (%)
강원특별자치도 65
21.7%
삼척시 17
 
5.7%
고성군 14
 
4.7%
강릉시 13
 
4.3%
양양군 12
 
4.0%
원덕읍 8
 
2.7%
근덕면 6
 
2.0%
죽왕면 5
 
1.7%
토성면 5
 
1.7%
동해시 5
 
1.7%
Other values (119) 149
49.8%
2023-12-12T17:42:29.124867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
239
 
16.1%
강 84
 
5.6%
원 74
 
5.0%
치 66
 
4.4%
도 66
 
4.4%
특 65
 
4.4%
별 65
 
4.4%
자 65
 
4.4%
리 51
 
3.4%
- 46
 
3.1%
Other values (91) 667
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1009
67.8%
Space Separator 239
 
16.1%
Decimal Number 194
 
13.0%
Dash Punctuation 46
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 84
 
8.3%
원 74
 
7.3%
치 66
 
6.5%
도 66
 
6.5%
특 65
 
6.4%
별 65
 
6.4%
자 65
 
6.4%
리 51
 
5.1%
시 39
 
3.9%
면 38
 
3.8%
Other values (79) 396
39.2%
Decimal Number
ValueCountFrequency (%)
1 39
20.1%
3 26
13.4%
2 25
12.9%
4 19
9.8%
5 18
9.3%
0 17
8.8%
8 15
 
7.7%
7 14
 
7.2%
6 13
 
6.7%
9 8
 
4.1%
Space Separator
ValueCountFrequency (%)
239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1009
67.8%
Common 479
32.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 84
 
8.3%
원 74
 
7.3%
치 66
 
6.5%
도 66
 
6.5%
특 65
 
6.4%
별 65
 
6.4%
자 65
 
6.4%
리 51
 
5.1%
시 39
 
3.9%
면 38
 
3.8%
Other values (79) 396
39.2%
Common
ValueCountFrequency (%)
239
49.9%
- 46
 
9.6%
1 39
 
8.1%
3 26
 
5.4%
2 25
 
5.2%
4 19
 
4.0%
5 18
 
3.8%
0 17
 
3.5%
8 15
 
3.1%
7 14
 
2.9%
Other values (2) 21
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1009
67.8%
ASCII 479
32.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
239
49.9%
- 46
 
9.6%
1 39
 
8.1%
3 26
 
5.4%
2 25
 
5.2%
4 19
 
4.0%
5 18
 
3.8%
0 17
 
3.5%
8 15
 
3.1%
7 14
 
2.9%
Other values (2) 21
 
4.4%
Hangul
ValueCountFrequency (%)
강 84
 
8.3%
원 74
 
7.3%
치 66
 
6.5%
도 66
 
6.5%
특 65
 
6.4%
별 65
 
6.4%
자 65
 
6.4%
리 51
 
5.1%
시 39
 
3.9%
면 38
 
3.8%
Other values (79) 396
39.2%

Correlations

2023-12-12T17:42:29.256828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명항구명항구구분관리구분관리기관명연락처소재지주소
시군구명1.0000.7960.3900.1340.8350.9201.000
항구명0.7961.0000.9110.9550.5180.8390.977
항구구분0.3900.9111.0000.5740.0001.0001.000
관리구분0.1340.9550.5741.0000.8390.9390.917
관리기관명0.8350.5180.0000.8391.0001.0000.969
연락처0.9200.8391.0000.9391.0001.0000.990
소재지주소1.0000.9771.0000.9170.9690.9901.000
2023-12-12T17:42:29.446813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항구구분시군구명관리기관명연락처관리구분
항구구분1.0000.1680.0000.9160.511
시군구명0.1681.0000.6490.7250.083
관리기관명0.0000.6491.0000.9550.701
연락처0.9160.7250.9551.0000.796
관리구분0.5110.0830.7010.7961.000
2023-12-12T17:42:29.578659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명항구구분관리구분관리기관명연락처
시군구명1.0000.1680.0830.6490.725
항구구분0.1681.0000.5110.0000.916
관리구분0.0830.5111.0000.7010.796
관리기관명0.6490.0000.7011.0000.955
연락처0.7250.9160.7960.9551.000

Missing values

2023-12-12T17:42:25.660623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:42:25.821116image/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

시도명시군구명항구명항구구분관리구분관리기관명연락처소재지주소
0강원특별자치도강릉시옥계항무역항지방항만강원특별자치도 글로벌본부033-572-0313강원특별자치도 강릉시 옥계면 주수리 561-1
1강원특별자치도강릉시주문진항연안항지방항만강원특별자치도 글로벌본부033-640-5200강원특별자치도 강릉시 주문진읍 주문리 312-512
2강원특별자치도강릉시사천진항어항국가어항동해지방해양수산청033-520-6259강원특별자치도 강릉시 사천면 사천진리 2
3강원특별자치도강릉시강릉항어항국가어항동해지방해양수산청033-520-6259강원특별자치도 강릉시 견소동 286-10
4강원특별자치도강릉시금진항어항국가어항동해지방해양수산청033-520-6259강원특별자치도 강릉시 옥계면 금진리 124-52
5강원특별자치도강릉시소돌항어항지방어항강원특별자치도 글로벌본부033-660-8338강원특별자치도 강릉시 주문진읍 주문리 791-23
6강원특별자치도강릉시영진항어항지방어항강원특별자치도 글로벌본부033-660-8338강원특별자치도 강릉시 연곡면 영진리 2-7
7강원특별자치도강릉시안인항어항어촌정주항강릉시청033-640-5377강원특별자치도 강릉시 강동면 안인진리 316
8강원특별자치도강릉시정동진항어항어촌정주항강릉시청033-640-5377강원특별자치도 강릉시 강동면 정동진리 50-153
9강원특별자치도강릉시심곡항어항어촌정주항강릉시청033-640-5377강원특별자치도 강릉시 강동면 심곡리 157-22
시도명시군구명항구명항구구분관리구분관리기관명연락처소재지주소
55강원특별자치도양양군물치항어항지방어항강원특별자치도 글로벌본부033-660-8338강원특별자치도 양양군 강현면 물치리 7-8
56강원특별자치도양양군동산항어항지방어항강원특별자치도 글로벌본부033-660-8338강원특별자치도 양양군 현남면 동산리 137-6
57강원특별자치도양양군후진항어항어촌정주항양양군청033-670-2411강원특별자치도 양양군 강현면 용호리 4-13
58강원특별자치도양양군낙산항어항어촌정주항양양군청033-670-2411강원특별자치도 양양군 강현면 전진리 3-13
59강원특별자치도양양군오산항어항어촌정주항양양군청033-670-2411강원특별자치도 양양군 손양면 오산리 1-5
60강원특별자치도양양군기사문항어항지방어항강원특별자치도 글로벌본부033-660-8338강원특별자치도 양양군 현북면 기사문리 89-32
61강원특별자치도양양군인구항어항어촌정주항양양군청033-670-2411강원특별자치도 양양군 현남면 인구리 1-104
62강원특별자치도양양군동호항어항소규모어항양양군청033-670-2411강원특별자치도 양양군 손양면 동호리 204-2
63강원특별자치도양양군하광정항어항소규모어항양양군청033-670-2411강원특별자치도 양양군 현북면 하광정리 65-12
64강원특별자치도양양군광진항어항소규모어항양양군청033-670-2411강원특별자치도 양양군 현남면 광진리 244-8