Overview

Dataset statistics

Number of variables5
Number of observations49
Missing cells50
Missing cells (%)20.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory42.7 B

Variable types

Text4
Categorical1

Dataset

Description강원도 강릉시에서 관리하는 문화예술단체현황에 대한 데이터로 단체명, 주소, 연락처, 홈페이지, 데이터기준일자 등의 항목을 제공합니다.
Author강원특별자치도 강릉시
URLhttps://www.data.go.kr/data/3044163/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 19 (38.8%) missing valuesMissing
홈페이지 has 31 (63.3%) missing valuesMissing
단체명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:57:41.451038
Analysis finished2024-03-23 05:57:43.322599
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-23T05:57:43.815941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length10.183673
Min length4

Characters and Unicode

Total characters499
Distinct characters116
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row재단법인 강릉문화재단
2nd row강릉문화원
3rd row강릉향교
4th row강릉향교 충효교육원
5th row강릉예절원
ValueCountFrequency (%)
사단법인 6
 
10.0%
강릉향교 2
 
3.3%
재단법인 1
 
1.7%
강릉민예총음악협회 1
 
1.7%
한국연극협회강릉지부 1
 
1.7%
한국음악협회강릉지부 1
 
1.7%
한국미술협회 1
 
1.7%
강릉지부 1
 
1.7%
한국연예인협회강릉지부 1
 
1.7%
한국화예협회강릉지부 1
 
1.7%
Other values (44) 44
73.3%
2024-03-23T05:57:45.206640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 43
 
8.6%
강 37
 
7.4%
릉 37
 
7.4%
협 19
 
3.8%
단 17
 
3.4%
인 17
 
3.4%
지 15
 
3.0%
국 15
 
3.0%
사 15
 
3.0%
예 14
 
2.8%
Other values (106) 270
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
97.2%
Space Separator 11
 
2.2%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 43
 
8.9%
강 37
 
7.6%
릉 37
 
7.6%
협 19
 
3.9%
단 17
 
3.5%
인 17
 
3.5%
지 15
 
3.1%
국 15
 
3.1%
사 15
 
3.1%
예 14
 
2.9%
Other values (102) 256
52.8%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
97.2%
Common 14
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 43
 
8.9%
강 37
 
7.6%
릉 37
 
7.6%
협 19
 
3.9%
단 17
 
3.5%
인 17
 
3.5%
지 15
 
3.1%
국 15
 
3.1%
사 15
 
3.1%
예 14
 
2.9%
Other values (102) 256
52.8%
Common
ValueCountFrequency (%)
11
78.6%
· 1
 
7.1%
( 1
 
7.1%
) 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
97.2%
ASCII 13
 
2.6%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 43
 
8.9%
강 37
 
7.6%
릉 37
 
7.6%
협 19
 
3.9%
단 17
 
3.5%
인 17
 
3.5%
지 15
 
3.1%
국 15
 
3.1%
사 15
 
3.1%
예 14
 
2.9%
Other values (102) 256
52.8%
ASCII
ValueCountFrequency (%)
11
84.6%
( 1
 
7.7%
) 1
 
7.7%
None
ValueCountFrequency (%)
· 1
100.0%

주소
Text

Distinct30
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-23T05:57:45.996868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length28.081633
Min length21

Characters and Unicode

Total characters1376
Distinct characters117
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

Unique24 ?
Unique (%)49.0%

Sample

1st row강원특별자치도 강릉시 경강로2021번길 9-1, 2층 강릉문화재단사무국 (명주동, 명주예술마당)
2nd row강원특별자치도 강릉시 하슬라로 96(교동)
3rd row강원특별자치도 강릉시 명륜로 29(교동)
4th row강원특별자치도 강릉시 죽헌길 126(죽헌동)
5th row강원특별자치도 강릉시 죽헌길 126(죽헌동)
ValueCountFrequency (%)
강원특별자치도 49
21.9%
강릉시 49
21.9%
종합운동장길 10
 
4.5%
84(교동 9
 
4.0%
죽헌길 6
 
2.7%
지하1층(포남동 5
 
2.2%
남강초교2길40 5
 
2.2%
명륜로 4
 
1.8%
29(교동 4
 
1.8%
124(죽헌동 3
 
1.3%
Other values (66) 80
35.7%
2024-03-23T05:57:47.820418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
12.8%
강 117
 
8.5%
동 55
 
4.0%
릉 55
 
4.0%
원 50
 
3.6%
특 49
 
3.6%
별 49
 
3.6%
자 49
 
3.6%
치 49
 
3.6%
도 49
 
3.6%
Other values (107) 678
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 937
68.1%
Space Separator 176
 
12.8%
Decimal Number 157
 
11.4%
Close Punctuation 40
 
2.9%
Open Punctuation 40
 
2.9%
Other Punctuation 21
 
1.5%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 117
 
12.5%
동 55
 
5.9%
릉 55
 
5.9%
원 50
 
5.3%
특 49
 
5.2%
별 49
 
5.2%
자 49
 
5.2%
치 49
 
5.2%
도 49
 
5.2%
시 49
 
5.2%
Other values (92) 366
39.1%
Decimal Number
ValueCountFrequency (%)
1 33
21.0%
2 33
21.0%
4 27
17.2%
3 13
 
8.3%
9 12
 
7.6%
8 11
 
7.0%
0 9
 
5.7%
6 8
 
5.1%
7 8
 
5.1%
5 3
 
1.9%
Space Separator
ValueCountFrequency (%)
176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 937
68.1%
Common 439
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 117
 
12.5%
동 55
 
5.9%
릉 55
 
5.9%
원 50
 
5.3%
특 49
 
5.2%
별 49
 
5.2%
자 49
 
5.2%
치 49
 
5.2%
도 49
 
5.2%
시 49
 
5.2%
Other values (92) 366
39.1%
Common
ValueCountFrequency (%)
176
40.1%
) 40
 
9.1%
( 40
 
9.1%
1 33
 
7.5%
2 33
 
7.5%
4 27
 
6.2%
, 21
 
4.8%
3 13
 
3.0%
9 12
 
2.7%
8 11
 
2.5%
Other values (5) 33
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 937
68.1%
ASCII 439
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
40.1%
) 40
 
9.1%
( 40
 
9.1%
1 33
 
7.5%
2 33
 
7.5%
4 27
 
6.2%
, 21
 
4.8%
3 13
 
3.0%
9 12
 
2.7%
8 11
 
2.5%
Other values (5) 33
 
7.5%
Hangul
ValueCountFrequency (%)
강 117
 
12.5%
동 55
 
5.9%
릉 55
 
5.9%
원 50
 
5.3%
특 49
 
5.2%
별 49
 
5.2%
자 49
 
5.2%
치 49
 
5.2%
도 49
 
5.2%
시 49
 
5.2%
Other values (92) 366
39.1%

연락처
Text

MISSING 

Distinct20
Distinct (%)66.7%
Missing19
Missing (%)38.8%
Memory size524.0 B
2024-03-23T05:57:48.739916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.033333
Min length12

Characters and Unicode

Total characters361
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)56.7%

Sample

1st row033-647-6802
2nd row033-648-3014
3rd row033-648-3667
4th row033-648-4502
5th row033-648-4503
ValueCountFrequency (%)
033-642-7145 7
23.3%
033-648-3667 4
 
13.3%
033-642-4982 2
 
6.7%
033-647-5830 1
 
3.3%
033-647-6802 1
 
3.3%
033-645-7835 1
 
3.3%
033-652-2931 1
 
3.3%
033-651-6768 1
 
3.3%
033-651-0886 1
 
3.3%
070-8802-9009 1
 
3.3%
Other values (10) 10
33.3%
2024-03-23T05:57:50.349684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 72
19.9%
- 60
16.6%
0 45
12.5%
4 43
11.9%
6 42
11.6%
7 20
 
5.5%
8 20
 
5.5%
2 18
 
5.0%
1 16
 
4.4%
5 16
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 301
83.4%
Dash Punctuation 60
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 72
23.9%
0 45
15.0%
4 43
14.3%
6 42
14.0%
7 20
 
6.6%
8 20
 
6.6%
2 18
 
6.0%
1 16
 
5.3%
5 16
 
5.3%
9 9
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 72
19.9%
- 60
16.6%
0 45
12.5%
4 43
11.9%
6 42
11.6%
7 20
 
5.5%
8 20
 
5.5%
2 18
 
5.0%
1 16
 
4.4%
5 16
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 72
19.9%
- 60
16.6%
0 45
12.5%
4 43
11.9%
6 42
11.6%
7 20
 
5.5%
8 20
 
5.5%
2 18
 
5.0%
1 16
 
4.4%
5 16
 
4.4%

홈페이지
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing31
Missing (%)63.3%
Memory size524.0 B
2024-03-23T05:57:51.144223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length36
Mean length36.666667
Min length16

Characters and Unicode

Total characters660
Distinct characters51
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

Unique18 ?
Unique (%)100.0%

Sample

1st rowhttp://www.gncaf.or.kr
2nd rowhttp://www.gncc.or.kr
3rd rowhttp://www.heritage.go.kr/heri/cul/culSelectDetail.do?ccbaCpno=2113200990000&pageNo=1_1_2_0
4th rowhttp://gangneung.grandculture.net/gangneung/multimedia/GC003P0516
5th rowhttp://www.yulgok.or.kr
ValueCountFrequency (%)
http://www.danoje.or.kr 1
 
5.6%
http://www.heritage.go.kr/heri/cul/culselectdetail.do?ccbacpno=2113200990000&pageno=1_1_2_0 1
 
5.6%
http://gnnongak.or.kr 1
 
5.6%
http://cafe.daum.net/sys19180520 1
 
5.6%
http://gnfaa.org 1
 
5.6%
http://www.갈골한과.kr 1
 
5.6%
http://gnsaturi.kr 1
 
5.6%
https://terms.naver.com/entry.naver?docid=2574963&cid=51890&categoryid=53704 1
 
5.6%
http://www.haksanod.com 1
 
5.6%
http://www.gncaf.or.kr 1
 
5.6%
Other values (8) 8
44.4%
2024-03-23T05:57:52.592621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 52
 
7.9%
/ 49
 
7.4%
. 47
 
7.1%
r 38
 
5.8%
e 32
 
4.8%
w 30
 
4.5%
a 30
 
4.5%
o 30
 
4.5%
n 28
 
4.2%
p 26
 
3.9%
Other values (41) 298
45.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 446
67.6%
Other Punctuation 122
 
18.5%
Decimal Number 66
 
10.0%
Uppercase Letter 11
 
1.7%
Math Symbol 8
 
1.2%
Other Letter 4
 
0.6%
Connector Punctuation 3
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 52
 
11.7%
r 38
 
8.5%
e 32
 
7.2%
w 30
 
6.7%
a 30
 
6.7%
o 30
 
6.7%
n 28
 
6.3%
p 26
 
5.8%
g 26
 
5.8%
h 24
 
5.4%
Other values (13) 130
29.1%
Decimal Number
ValueCountFrequency (%)
0 17
25.8%
5 10
15.2%
1 9
13.6%
9 7
10.6%
2 6
 
9.1%
3 5
 
7.6%
8 4
 
6.1%
7 4
 
6.1%
4 2
 
3.0%
6 2
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
I 4
36.4%
C 2
18.2%
S 1
 
9.1%
D 1
 
9.1%
P 1
 
9.1%
G 1
 
9.1%
N 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 49
40.2%
. 47
38.5%
: 18
 
14.8%
& 5
 
4.1%
? 3
 
2.5%
Other Letter
ValueCountFrequency (%)
갈 1
25.0%
골 1
25.0%
한 1
25.0%
과 1
25.0%
Math Symbol
ValueCountFrequency (%)
= 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 457
69.2%
Common 199
30.2%
Hangul 4
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 52
 
11.4%
r 38
 
8.3%
e 32
 
7.0%
w 30
 
6.6%
a 30
 
6.6%
o 30
 
6.6%
n 28
 
6.1%
p 26
 
5.7%
g 26
 
5.7%
h 24
 
5.3%
Other values (20) 141
30.9%
Common
ValueCountFrequency (%)
/ 49
24.6%
. 47
23.6%
: 18
 
9.0%
0 17
 
8.5%
5 10
 
5.0%
1 9
 
4.5%
= 8
 
4.0%
9 7
 
3.5%
2 6
 
3.0%
3 5
 
2.5%
Other values (7) 23
11.6%
Hangul
ValueCountFrequency (%)
갈 1
25.0%
골 1
25.0%
한 1
25.0%
과 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 656
99.4%
Hangul 4
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 52
 
7.9%
/ 49
 
7.5%
. 47
 
7.2%
r 38
 
5.8%
e 32
 
4.9%
w 30
 
4.6%
a 30
 
4.6%
o 30
 
4.6%
n 28
 
4.3%
p 26
 
4.0%
Other values (37) 294
44.8%
Hangul
ValueCountFrequency (%)
갈 1
25.0%
골 1
25.0%
한 1
25.0%
과 1
25.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-18
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-18
2nd row2024-03-18
3rd row2024-03-18
4th row2024-03-18
5th row2024-03-18

Common Values

ValueCountFrequency (%)
2024-03-18 49
100.0%

Length

2024-03-23T05:57:53.476272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:57:53.948255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-18 49
100.0%

Correlations

2024-03-23T05:57:54.153317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명주소연락처홈페이지
단체명1.0001.0001.0001.000
주소1.0001.0000.9931.000
연락처1.0000.9931.0001.000
홈페이지1.0001.0001.0001.000

Missing values

2024-03-23T05:57:42.345365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:57:42.690042image/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.
2024-03-23T05:57:43.103476image/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

단체명주소연락처홈페이지데이터기준일자
0재단법인 강릉문화재단강원특별자치도 강릉시 경강로2021번길 9-1, 2층 강릉문화재단사무국 (명주동, 명주예술마당)033-647-6802http://www.gncaf.or.kr2024-03-18
1강릉문화원강원특별자치도 강릉시 하슬라로 96(교동)033-648-3014http://www.gncc.or.kr2024-03-18
2강릉향교강원특별자치도 강릉시 명륜로 29(교동)033-648-3667http://www.heritage.go.kr/heri/cul/culSelectDetail.do?ccbaCpno=2113200990000&pageNo=1_1_2_02024-03-18
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5성균관유도회강릉지부강원특별자치도 강릉시 명륜로 29(교동)033-648-3667<NA>2024-03-18
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7성균관청년유도회강릉지부강원특별자치도 강릉시 명륜로 29(교동)033-648-3667<NA>2024-03-18
8사단법인율곡연구원강원특별자치도 강릉시 죽헌길 124(죽헌동)033-642-4982http://www.yulgok.or.kr2024-03-18
9율곡평생교육원강원특별자치도 강릉시 죽헌길 124(죽헌동)033-642-4983http://www.yulgok.or.kr/page/lecture.php2024-03-18
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42강릉시공예협회강원특별자치도 강릉시 해안로 337(강문동)033-651-6768<NA>2024-03-18
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