Overview

Dataset statistics

Number of variables4
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory34.6 B

Variable types

Text3
Categorical1

Dataset

Description대전광역시 서구 관내의 공·사립 작은도서관 현황으로 작은도서관명칭, 소재지 주소, 전화번호에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15115580/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
도서관명칭 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:12:17.810671
Analysis finished2023-12-12 15:12:18.261059
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명칭
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T00:12:18.452628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.26
Min length4

Characters and Unicode

Total characters463
Distinct characters134
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowLH천년사랑작은도서관
2nd rowKIPHRD어린이도서관
3rd row갈마마을땅콩도서관
4th row공감마을작은도서관
5th row관저더샵2차아파트작은도서관
ValueCountFrequency (%)
lh천년사랑작은도서관 1
 
2.0%
썬샤인문고 1
 
2.0%
해뜰마을어린이도서관 1
 
2.0%
방주문고 1
 
2.0%
백운꿈의도서관 1
 
2.0%
베르디움작은도서관 1
 
2.0%
복된꿈이있는도서관 1
 
2.0%
새누리도서관 1
 
2.0%
세꿈작은도서관 1
 
2.0%
솔로몬도서관 1
 
2.0%
Other values (40) 40
80.0%
2023-12-13T00:12:18.948424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 50
 
10.8%
관 50
 
10.8%
서 47
 
10.2%
작 30
 
6.5%
은 30
 
6.5%
이 12
 
2.6%
마 11
 
2.4%
어 9
 
1.9%
린 8
 
1.7%
을 7
 
1.5%
Other values (124) 209
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
96.1%
Uppercase Letter 8
 
1.7%
Open Punctuation 4
 
0.9%
Close Punctuation 4
 
0.9%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 50
 
11.2%
관 50
 
11.2%
서 47
 
10.6%
작 30
 
6.7%
은 30
 
6.7%
이 12
 
2.7%
마 11
 
2.5%
어 9
 
2.0%
린 8
 
1.8%
을 7
 
1.6%
Other values (114) 191
42.9%
Uppercase Letter
ValueCountFrequency (%)
H 2
25.0%
K 1
12.5%
I 1
12.5%
D 1
12.5%
R 1
12.5%
P 1
12.5%
L 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
96.1%
Common 10
 
2.2%
Latin 8
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 50
 
11.2%
관 50
 
11.2%
서 47
 
10.6%
작 30
 
6.7%
은 30
 
6.7%
이 12
 
2.7%
마 11
 
2.5%
어 9
 
2.0%
린 8
 
1.8%
을 7
 
1.6%
Other values (114) 191
42.9%
Latin
ValueCountFrequency (%)
H 2
25.0%
K 1
12.5%
I 1
12.5%
D 1
12.5%
R 1
12.5%
P 1
12.5%
L 1
12.5%
Common
ValueCountFrequency (%)
( 4
40.0%
) 4
40.0%
2 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
96.1%
ASCII 18
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 50
 
11.2%
관 50
 
11.2%
서 47
 
10.6%
작 30
 
6.7%
은 30
 
6.7%
이 12
 
2.7%
마 11
 
2.5%
어 9
 
2.0%
린 8
 
1.8%
을 7
 
1.6%
Other values (114) 191
42.9%
ASCII
ValueCountFrequency (%)
( 4
22.2%
) 4
22.2%
H 2
11.1%
2 2
11.1%
K 1
 
5.6%
I 1
 
5.6%
D 1
 
5.6%
R 1
 
5.6%
P 1
 
5.6%
L 1
 
5.6%

소재지도로명주소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T00:12:19.286758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length13.24
Min length6

Characters and Unicode

Total characters662
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

Unique50 ?
Unique (%)100.0%

Sample

1st row구봉산북로 212(천년나무 1단지@)
2nd row구봉산북로94번길 77, 후생동 2층
3rd row계룡로326번길 175
4th row청사서로54번길 17, 201호
5th row구봉산북로 52(관저더샵2차@)
ValueCountFrequency (%)
2층 7
 
5.5%
도안동로 5
 
3.9%
구봉산북로 3
 
2.4%
201호 3
 
2.4%
상가 3
 
2.4%
내 2
 
1.6%
도솔로 2
 
1.6%
1층 2
 
1.6%
배재로 2
 
1.6%
24 2
 
1.6%
Other values (94) 96
75.6%
2023-12-13T00:12:19.827996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
11.6%
로 48
 
7.3%
1 35
 
5.3%
2 34
 
5.1%
3 19
 
2.9%
6 19
 
2.9%
, 18
 
2.7%
) 17
 
2.6%
( 17
 
2.6%
층 15
 
2.3%
Other values (107) 363
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
50.0%
Decimal Number 183
27.6%
Space Separator 77
 
11.6%
Other Punctuation 33
 
5.0%
Close Punctuation 17
 
2.6%
Open Punctuation 17
 
2.6%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 48
 
14.5%
층 15
 
4.5%
길 15
 
4.5%
도 14
 
4.2%
번 13
 
3.9%
동 12
 
3.6%
안 10
 
3.0%
관 8
 
2.4%
저 7
 
2.1%
봉 7
 
2.1%
Other values (91) 182
55.0%
Decimal Number
ValueCountFrequency (%)
1 35
19.1%
2 34
18.6%
3 19
10.4%
6 19
10.4%
7 15
8.2%
0 14
 
7.7%
4 14
 
7.7%
5 13
 
7.1%
8 11
 
6.0%
9 9
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 18
54.5%
@ 15
45.5%
Space Separator
ValueCountFrequency (%)
77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 331
50.0%
Hangul 331
50.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 48
 
14.5%
층 15
 
4.5%
길 15
 
4.5%
도 14
 
4.2%
번 13
 
3.9%
동 12
 
3.6%
안 10
 
3.0%
관 8
 
2.4%
저 7
 
2.1%
봉 7
 
2.1%
Other values (91) 182
55.0%
Common
ValueCountFrequency (%)
77
23.3%
1 35
10.6%
2 34
10.3%
3 19
 
5.7%
6 19
 
5.7%
, 18
 
5.4%
) 17
 
5.1%
( 17
 
5.1%
@ 15
 
4.5%
7 15
 
4.5%
Other values (6) 65
19.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 331
50.0%
Hangul 331
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
23.3%
1 35
10.6%
2 34
10.3%
3 19
 
5.7%
6 19
 
5.7%
, 18
 
5.4%
) 17
 
5.1%
( 17
 
5.1%
@ 15
 
4.5%
7 15
 
4.5%
Other values (6) 65
19.6%
Hangul
ValueCountFrequency (%)
로 48
 
14.5%
층 15
 
4.5%
길 15
 
4.5%
도 14
 
4.2%
번 13
 
3.9%
동 12
 
3.6%
안 10
 
3.0%
관 8
 
2.4%
저 7
 
2.1%
봉 7
 
2.1%
Other values (91) 182
55.0%

전화번호
Text

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-13T00:12:20.147705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.48
Min length7

Characters and Unicode

Total characters574
Distinct characters18
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

Unique44 ?
Unique (%)88.0%

Sample

1st row042-542-0016
2nd row042-281-4005
3rd row042-538-8802
4th row데이터 미보유
5th row042-542-9741
ValueCountFrequency (%)
데이터 6
 
10.7%
미보유 6
 
10.7%
042-584-4451 1
 
1.8%
042-544-0326 1
 
1.8%
042-545-9044 1
 
1.8%
042-478-6062 1
 
1.8%
042-581-0101 1
 
1.8%
042-534-1191 1
 
1.8%
042-542-0922 1
 
1.8%
042-534-9106 1
 
1.8%
Other values (36) 36
64.3%
2023-12-13T00:12:20.671739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
15.3%
4 83
14.5%
0 82
14.3%
2 78
13.6%
5 62
10.8%
1 33
 
5.7%
3 26
 
4.5%
9 26
 
4.5%
7 22
 
3.8%
8 20
 
3.5%
Other values (8) 54
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 444
77.4%
Dash Punctuation 88
 
15.3%
Other Letter 36
 
6.3%
Space Separator 6
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 83
18.7%
0 82
18.5%
2 78
17.6%
5 62
14.0%
1 33
 
7.4%
3 26
 
5.9%
9 26
 
5.9%
7 22
 
5.0%
8 20
 
4.5%
6 12
 
2.7%
Other Letter
ValueCountFrequency (%)
이 6
16.7%
유 6
16.7%
보 6
16.7%
미 6
16.7%
터 6
16.7%
데 6
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 538
93.7%
Hangul 36
 
6.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.4%
4 83
15.4%
0 82
15.2%
2 78
14.5%
5 62
11.5%
1 33
 
6.1%
3 26
 
4.8%
9 26
 
4.8%
7 22
 
4.1%
8 20
 
3.7%
Other values (2) 18
 
3.3%
Hangul
ValueCountFrequency (%)
이 6
16.7%
유 6
16.7%
보 6
16.7%
미 6
16.7%
터 6
16.7%
데 6
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 538
93.7%
Hangul 36
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.4%
4 83
15.4%
0 82
15.2%
2 78
14.5%
5 62
11.5%
1 33
 
6.1%
3 26
 
4.8%
9 26
 
4.8%
7 22
 
4.1%
8 20
 
3.7%
Other values (2) 18
 
3.3%
Hangul
ValueCountFrequency (%)
이 6
16.7%
유 6
16.7%
보 6
16.7%
미 6
16.7%
터 6
16.7%
데 6
16.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-06-27
50 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-27
2nd row2023-06-27
3rd row2023-06-27
4th row2023-06-27
5th row2023-06-27

Common Values

ValueCountFrequency (%)
2023-06-27 50
100.0%

Length

2023-12-13T00:12:20.838225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:12:20.936995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-27 50
100.0%

Correlations

2023-12-13T00:12:21.000022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명칭소재지도로명주소전화번호
도서관명칭1.0001.0001.000
소재지도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-13T00:12:18.132696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:12:18.218795image/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

도서관명칭소재지도로명주소전화번호데이터기준일자
0LH천년사랑작은도서관구봉산북로 212(천년나무 1단지@)042-542-00162023-06-27
1KIPHRD어린이도서관구봉산북로94번길 77, 후생동 2층042-281-40052023-06-27
2갈마마을땅콩도서관계룡로326번길 175042-538-88022023-06-27
3공감마을작은도서관청사서로54번길 17, 201호데이터 미보유2023-06-27
4관저더샵2차아파트작은도서관구봉산북로 52(관저더샵2차@)042-542-97412023-06-27
5관저더샵작은도서관관저서로 19(관저더샵@)042-545-99282023-06-27
6관저마루작은도서관(공립)관저북로 24, 4층(관저1동행정복지센터)042-288-56272023-06-27
7꿈꾸는도서관변동로 78, 2층042-525-82912023-06-27
8꿈터마을어린이도서관월평서로 10-1, 2층042-320-54432023-06-27
9꿈터작은도서관배재로 266, 1층042-537-59112023-06-27
도서관명칭소재지도로명주소전화번호데이터기준일자
40지치울작은도서관(공립)갈마로219번길 40042-523-91992023-06-27
41초록마을작은도서관복수남로 56, 201호042-585-35952023-06-27
42큰마음어린이도서관월평북로 11, 2층042-484-53252023-06-27
43탄방길작은도서관(공립)문정로 96, 2층042-342-30002023-06-27
44톨스토이의작은도서관변동중로 24042-525-95832023-06-27
45트리풀시티레이크포레아파트작은도서관도안동로 234(트리풀시티레이크포레@)042-546-77972023-06-27
46평강작은도서관유등로 61042-585-86252023-06-27
47한라비발디아파트작은도서관도안북로136(한라비발디@)070-8259-57202023-06-27
48해뜰마을어린이도서관구봉로131번길 38, 201호042-544-03262023-06-27
49행복한책방작은도서관구봉산북로 290042-542-10042023-06-27