Overview

Dataset statistics

Number of variables7
Number of observations58
Missing cells10
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory58.3 B

Variable types

Categorical4
Text3

Dataset

Description강원도 공연장에 대한 데이터를 제공합니다. - 제공 데이터 : 시군구명, 시설명, 영업상태, 소재지전화번호, 소재지도로명주소, 건물용도명
Author강원도
URLhttps://www.data.go.kr/data/15033700/fileData.do

Alerts

시도 has constant value ""Constant
영업상태명 has constant value ""Constant
소재지전화 has 10 (17.2%) missing valuesMissing
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:02:53.762823
Analysis finished2023-12-12 05:02:54.327513
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
강원도
58 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 58
100.0%

Length

2023-12-12T14:02:54.393245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:02:54.507780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 58
100.0%

시군구명
Categorical

Distinct18
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
춘천시
11 
원주시
9 
강릉시
6 
평창군
5 
고성군
3 
Other values (13)
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique5 ?
Unique (%)8.6%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 11
19.0%
원주시 9
15.5%
강릉시 6
10.3%
평창군 5
8.6%
고성군 3
 
5.2%
삼척시 3
 
5.2%
정선군 3
 
5.2%
화천군 3
 
5.2%
홍천군 2
 
3.4%
횡성군 2
 
3.4%
Other values (8) 11
19.0%

Length

2023-12-12T14:02:54.651277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
춘천시 11
19.0%
원주시 9
15.5%
강릉시 6
10.3%
평창군 5
8.6%
고성군 3
 
5.2%
삼척시 3
 
5.2%
정선군 3
 
5.2%
화천군 3
 
5.2%
태백시 2
 
3.4%
양구군 2
 
3.4%
Other values (8) 11
19.0%

사업장명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T14:02:54.970615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length14
Mean length9.4655172
Min length4

Characters and Unicode

Total characters549
Distinct characters168
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

Unique58 ?
Unique (%)100.0%

Sample

1st row소극장 연극바보들
2nd row춘천문화예술회관
3rd row춘천인형극장
4th row백령아트센터
5th row봄내극장
ValueCountFrequency (%)
공연장 6
 
6.5%
대공연장 5
 
5.4%
소공연장 5
 
5.4%
소극장 3
 
3.2%
예술텃밭 2
 
2.2%
삼척문화예술회관 2
 
2.2%
강릉아트센터 2
 
2.2%
문화공간 2
 
2.2%
태백문화예술회관 2
 
2.2%
고성군문화복지센터 2
 
2.2%
Other values (62) 62
66.7%
2023-12-12T14:02:55.579022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
6.4%
장 31
 
5.6%
화 25
 
4.6%
문 24
 
4.4%
공 22
 
4.0%
연 21
 
3.8%
관 18
 
3.3%
예 18
 
3.3%
술 17
 
3.1%
회 16
 
2.9%
Other values (158) 322
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
84.9%
Space Separator 35
 
6.4%
Lowercase Letter 34
 
6.2%
Uppercase Letter 6
 
1.1%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Dash Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 31
 
6.7%
화 25
 
5.4%
문 24
 
5.2%
공 22
 
4.7%
연 21
 
4.5%
관 18
 
3.9%
예 18
 
3.9%
술 17
 
3.6%
회 16
 
3.4%
극 11
 
2.4%
Other values (132) 263
56.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
17.6%
a 4
11.8%
t 4
11.8%
r 3
8.8%
l 2
 
5.9%
d 2
 
5.9%
n 2
 
5.9%
u 2
 
5.9%
o 2
 
5.9%
f 1
 
2.9%
Other values (6) 6
17.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
B 1
16.7%
P 1
16.7%
H 1
16.7%
O 1
16.7%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 466
84.9%
Common 43
 
7.8%
Latin 40
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 31
 
6.7%
화 25
 
5.4%
문 24
 
5.2%
공 22
 
4.7%
연 21
 
4.5%
관 18
 
3.9%
예 18
 
3.9%
술 17
 
3.6%
회 16
 
3.4%
극 11
 
2.4%
Other values (132) 263
56.4%
Latin
ValueCountFrequency (%)
e 6
15.0%
a 4
 
10.0%
t 4
 
10.0%
r 3
 
7.5%
S 2
 
5.0%
l 2
 
5.0%
d 2
 
5.0%
n 2
 
5.0%
u 2
 
5.0%
o 2
 
5.0%
Other values (11) 11
27.5%
Common
ValueCountFrequency (%)
35
81.4%
( 3
 
7.0%
) 3
 
7.0%
- 1
 
2.3%
, 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
84.9%
ASCII 83
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
42.2%
e 6
 
7.2%
a 4
 
4.8%
t 4
 
4.8%
( 3
 
3.6%
r 3
 
3.6%
) 3
 
3.6%
S 2
 
2.4%
l 2
 
2.4%
d 2
 
2.4%
Other values (16) 19
22.9%
Hangul
ValueCountFrequency (%)
장 31
 
6.7%
화 25
 
5.4%
문 24
 
5.2%
공 22
 
4.7%
연 21
 
4.5%
관 18
 
3.9%
예 18
 
3.9%
술 17
 
3.6%
회 16
 
3.4%
극 11
 
2.4%
Other values (132) 263
56.4%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
영업/정상
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 58
100.0%

Length

2023-12-12T14:02:55.779560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:02:55.918965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 58
100.0%

소재지전화
Text

MISSING 

Distinct43
Distinct (%)89.6%
Missing10
Missing (%)17.2%
Memory size596.0 B
2023-12-12T14:02:56.214096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters576
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

Unique38 ?
Unique (%)79.2%

Sample

1st row033-250-3593
2nd row033-250-7201
3rd row033-243-4368
4th row033-730-0101
5th row033-261-7295
ValueCountFrequency (%)
033-550-2781 2
 
4.2%
033-572-1331 2
 
4.2%
033-680-3366 2
 
4.2%
033-737-4302 2
 
4.2%
033-660-6806 2
 
4.2%
033-339-3939 1
 
2.1%
033-480-2241 1
 
2.1%
033-339-0544 1
 
2.1%
033-430-2426 1
 
2.1%
033-681-4146 1
 
2.1%
Other values (33) 33
68.8%
2023-12-12T14:02:56.757377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 148
25.7%
0 99
17.2%
- 96
16.7%
2 41
 
7.1%
6 36
 
6.2%
7 35
 
6.1%
4 35
 
6.1%
5 30
 
5.2%
1 28
 
4.9%
8 17
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
83.3%
Dash Punctuation 96
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 148
30.8%
0 99
20.6%
2 41
 
8.5%
6 36
 
7.5%
7 35
 
7.3%
4 35
 
7.3%
5 30
 
6.2%
1 28
 
5.8%
8 17
 
3.5%
9 11
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 576
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 148
25.7%
0 99
17.2%
- 96
16.7%
2 41
 
7.1%
6 36
 
6.2%
7 35
 
6.1%
4 35
 
6.1%
5 30
 
5.2%
1 28
 
4.9%
8 17
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 148
25.7%
0 99
17.2%
- 96
16.7%
2 41
 
7.1%
6 36
 
6.2%
7 35
 
6.1%
4 35
 
6.1%
5 30
 
5.2%
1 28
 
4.9%
8 17
 
3.0%

소재지주소
Text

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T14:02:57.012034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length24.224138
Min length16

Characters and Unicode

Total characters1405
Distinct characters173
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

Unique52 ?
Unique (%)89.7%

Sample

1st row강원도 춘천시 서부대성로239번길 7 (효자동)
2nd row강원도 춘천시 효자상길5번길 13 (효자동)
3rd row강원도 춘천시 영서로 3017, 춘천인형극장 (사농동)
4th row강원도 춘천시 강원대학길 1 (효자동)
5th row강원도 춘천시 서부대성로 71 (옥천동)
ValueCountFrequency (%)
강원도 58
 
18.4%
춘천시 11
 
3.5%
원주시 9
 
2.8%
강릉시 6
 
1.9%
평창군 5
 
1.6%
효자동 4
 
1.3%
삼척시 3
 
0.9%
고성군 3
 
0.9%
1 3
 
0.9%
교동 3
 
0.9%
Other values (171) 211
66.8%
2023-12-12T14:02:57.446132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
 
18.5%
원 77
 
5.5%
강 69
 
4.9%
도 61
 
4.3%
로 44
 
3.1%
1 41
 
2.9%
동 38
 
2.7%
시 37
 
2.6%
) 37
 
2.6%
( 37
 
2.6%
Other values (163) 704
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
61.4%
Space Separator 260
 
18.5%
Decimal Number 173
 
12.3%
Close Punctuation 37
 
2.6%
Open Punctuation 37
 
2.6%
Lowercase Letter 17
 
1.2%
Other Punctuation 12
 
0.9%
Dash Punctuation 6
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 77
 
8.9%
강 69
 
8.0%
도 61
 
7.1%
로 44
 
5.1%
동 38
 
4.4%
시 37
 
4.3%
천 29
 
3.4%
군 25
 
2.9%
길 22
 
2.6%
읍 20
 
2.3%
Other values (137) 440
51.0%
Decimal Number
ValueCountFrequency (%)
1 41
23.7%
2 27
15.6%
5 21
12.1%
7 18
10.4%
3 18
10.4%
4 16
 
9.2%
0 12
 
6.9%
9 9
 
5.2%
8 6
 
3.5%
6 5
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
23.5%
r 3
17.6%
t 2
11.8%
a 2
11.8%
f 1
 
5.9%
o 1
 
5.9%
m 1
 
5.9%
n 1
 
5.9%
c 1
 
5.9%
h 1
 
5.9%
Space Separator
ValueCountFrequency (%)
260
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 862
61.4%
Common 525
37.4%
Latin 18
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 77
 
8.9%
강 69
 
8.0%
도 61
 
7.1%
로 44
 
5.1%
동 38
 
4.4%
시 37
 
4.3%
천 29
 
3.4%
군 25
 
2.9%
길 22
 
2.6%
읍 20
 
2.3%
Other values (137) 440
51.0%
Common
ValueCountFrequency (%)
260
49.5%
1 41
 
7.8%
) 37
 
7.0%
( 37
 
7.0%
2 27
 
5.1%
5 21
 
4.0%
7 18
 
3.4%
3 18
 
3.4%
4 16
 
3.0%
0 12
 
2.3%
Other values (5) 38
 
7.2%
Latin
ValueCountFrequency (%)
e 4
22.2%
r 3
16.7%
t 2
11.1%
a 2
11.1%
P 1
 
5.6%
f 1
 
5.6%
o 1
 
5.6%
m 1
 
5.6%
n 1
 
5.6%
c 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
61.4%
ASCII 543
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
47.9%
1 41
 
7.6%
) 37
 
6.8%
( 37
 
6.8%
2 27
 
5.0%
5 21
 
3.9%
7 18
 
3.3%
3 18
 
3.3%
4 16
 
2.9%
0 12
 
2.2%
Other values (16) 56
 
10.3%
Hangul
ValueCountFrequency (%)
원 77
 
8.9%
강 69
 
8.0%
도 61
 
7.1%
로 44
 
5.1%
동 38
 
4.4%
시 37
 
4.3%
천 29
 
3.4%
군 25
 
2.9%
길 22
 
2.6%
읍 20
 
2.3%
Other values (137) 440
51.0%

건물용도명
Categorical

Distinct6
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
문화시설
32 
<NA>
16 
근린생활시설
6 
교육연구시설
 
2
기타
 
1

Length

Max length6
Median length4
Mean length4.2068966
Min length2

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
문화시설 32
55.2%
<NA> 16
27.6%
근린생활시설 6
 
10.3%
교육연구시설 2
 
3.4%
기타 1
 
1.7%
호텔 1
 
1.7%

Length

2023-12-12T14:02:57.640068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:02:57.787817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설 32
55.2%
na 16
27.6%
근린생활시설 6
 
10.3%
교육연구시설 2
 
3.4%
기타 1
 
1.7%
호텔 1
 
1.7%

Correlations

2023-12-12T14:02:57.910107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명사업장명소재지전화소재지주소건물용도명
시군구명1.0001.0001.0001.0000.288
사업장명1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.000
건물용도명0.2881.0001.0001.0001.000
2023-12-12T14:02:58.030230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명건물용도명
시군구명1.0000.075
건물용도명0.0751.000
2023-12-12T14:02:58.130846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구명건물용도명
시군구명1.0000.075
건물용도명0.0751.000

Missing values

2023-12-12T14:02:54.156688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:02:54.277499image/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

시도시군구명사업장명영업상태명소재지전화소재지주소건물용도명
0강원도춘천시소극장 연극바보들영업/정상<NA>강원도 춘천시 서부대성로239번길 7 (효자동)근린생활시설
1강원도춘천시춘천문화예술회관영업/정상033-250-3593강원도 춘천시 효자상길5번길 13 (효자동)문화시설
2강원도춘천시춘천인형극장영업/정상<NA>강원도 춘천시 영서로 3017, 춘천인형극장 (사농동)문화시설
3강원도춘천시백령아트센터영업/정상033-250-7201강원도 춘천시 강원대학길 1 (효자동)문화시설
4강원도춘천시봄내극장영업/정상033-243-4368강원도 춘천시 서부대성로 71 (옥천동)<NA>
5강원도춘천시축제극장 몸짓영업/정상033-730-0101강원도 춘천시 춘천로 112 (효자동)문화시설
6강원도춘천시소극장 여우영업/정상<NA>강원도 춘천시 공지로 121-1 (석사동)근린생활시설
7강원도춘천시소극장 존영업/정상033-261-7295강원도 춘천시 세실로 267 (후평동)<NA>
8강원도춘천시Sound Hall(실내), Outside Stage(야외) 공연장영업/정상02-330-6200강원도 춘천시 스포츠타운길399번길 25 (삼천동)문화시설
9강원도춘천시아트팩토리 봄영업/정상033-253-7111강원도 춘천시 신동면 풍류1길 34<NA>
시도시군구명사업장명영업상태명소재지전화소재지주소건물용도명
48강원도화천군화천문화예술회관영업/정상033-440-2573강원도 화천군 화천읍 상승로 91문화시설
49강원도화천군문화공간 예술텃밭 텃밭극장영업/정상<NA>강원도 화천군 화천읍 노신로 274문화시설
50강원도화천군문화공간 예술텃밭 바깥극장영업/정상<NA>강원도 화천군 화천읍 노신로 274문화시설
51강원도양구군양구문예회관 공연장영업/정상033-480-7212강원도 양구군 양구읍 비봉로73번길 52-1, 양구문예회관근린생활시설
52강원도양구군양구문화복지센터 공연장영업/정상033-480-2241강원도 양구군 양구읍 비봉로73번길 52 (양구문화복지센터)문화시설
53강원도인제군인제하늘내린센터 대공연장영업/정상033-461-0373강원도 인제군 인제읍 비봉로44번길 100문화시설
54강원도고성군고성군문화복지센터 대공연장영업/정상033-680-3366강원도 고성군 거진읍 자산천로 240문화시설
55강원도고성군고성군문화복지센터 소공연장영업/정상033-680-3366강원도 고성군 거진읍 자산천로 240문화시설
56강원도고성군고성문화의집영업/정상033-681-4146강원도 고성군 간성읍 간성로 71-7문화시설
57강원도양양군문화복지회관 대공연장영업/정상033-670-2348강원도 양양군 양양읍 일출로 540<NA>