Overview

Dataset statistics

Number of variables4
Number of observations270
Missing cells128
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory32.5 B

Variable types

Text4

Dataset

Description경남대표도서관 책이음서비스 실시 도서관의 도서관 정보로, 도서관이름, 주소, 전화번호, 기관홈페이지 URL 데이터를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15089446

Alerts

주소 has 6 (2.2%) missing valuesMissing
전화번호 has 16 (5.9%) missing valuesMissing
기관홈페이지 has 106 (39.3%) missing valuesMissing
도서관이름 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:51:44.772865
Analysis finished2023-12-10 23:51:45.344863
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관이름
Text

UNIQUE 

Distinct270
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T08:51:45.479902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length12.322222
Min length7

Characters and Unicode

Total characters3327
Distinct characters261
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique270 ?
Unique (%)100.0%

Sample

1st row경남 경남대표도서관
2nd row양산시립도서관
3rd row양산웅상도서관
4th row양산영어도서관
5th row상북어린이도서관
ValueCountFrequency (%)
경남 214
42.0%
작은도서관 22
 
4.3%
김해시한신책사랑작은도서관 1
 
0.2%
거제옥포작은도서관 1
 
0.2%
거제푸른숲작은도서관 1
 
0.2%
거제글밭작은도서관 1
 
0.2%
거제남부면작은도서관 1
 
0.2%
거제참새미작은도서관 1
 
0.2%
거제시립모오리돌작은도서관 1
 
0.2%
김해시한국작은도서관 1
 
0.2%
Other values (265) 265
52.1%
2023-12-11T08:51:45.867229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 259
 
7.8%
남 255
 
7.7%
경 245
 
7.4%
241
 
7.2%
서 234
 
7.0%
관 227
 
6.8%
은 142
 
4.3%
작 139
 
4.2%
시 79
 
2.4%
해 57
 
1.7%
Other values (251) 1449
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3069
92.2%
Space Separator 241
 
7.2%
Decimal Number 13
 
0.4%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 259
 
8.4%
남 255
 
8.3%
경 245
 
8.0%
서 234
 
7.6%
관 227
 
7.4%
은 142
 
4.6%
작 139
 
4.5%
시 79
 
2.6%
해 57
 
1.9%
김 53
 
1.7%
Other values (242) 1379
44.9%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
1 4
30.8%
4 2
 
15.4%
7 1
 
7.7%
5 1
 
7.7%
Space Separator
ValueCountFrequency (%)
241
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3069
92.2%
Common 255
 
7.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 259
 
8.4%
남 255
 
8.3%
경 245
 
8.0%
서 234
 
7.6%
관 227
 
7.4%
은 142
 
4.6%
작 139
 
4.5%
시 79
 
2.6%
해 57
 
1.9%
김 53
 
1.7%
Other values (242) 1379
44.9%
Common
ValueCountFrequency (%)
241
94.5%
2 5
 
2.0%
1 4
 
1.6%
4 2
 
0.8%
7 1
 
0.4%
- 1
 
0.4%
5 1
 
0.4%
Latin
ValueCountFrequency (%)
e 2
66.7%
U 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3069
92.2%
ASCII 258
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 259
 
8.4%
남 255
 
8.3%
경 245
 
8.0%
서 234
 
7.6%
관 227
 
7.4%
은 142
 
4.6%
작 139
 
4.5%
시 79
 
2.6%
해 57
 
1.9%
김 53
 
1.7%
Other values (242) 1379
44.9%
ASCII
ValueCountFrequency (%)
241
93.4%
2 5
 
1.9%
1 4
 
1.6%
e 2
 
0.8%
4 2
 
0.8%
7 1
 
0.4%
- 1
 
0.4%
U 1
 
0.4%
5 1
 
0.4%

주소
Text

MISSING 

Distinct263
Distinct (%)99.6%
Missing6
Missing (%)2.2%
Memory size2.2 KiB
2023-12-11T08:51:46.221181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length26.443182
Min length10

Characters and Unicode

Total characters6981
Distinct characters266
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)99.2%

Sample

1st row경상남도 창원시 의창구 사림로45번길 59
2nd row경상남도 양산시 물금읍 청룡로 11
3rd row경상남도 양산시 웅상대로 1009-2
4th row경상남도 양산시 대평들1길 9-10
5th row경상남도 양산시 상북면 반회서7길 14-16
ValueCountFrequency (%)
경상남도 252
 
17.3%
창원시 81
 
5.6%
양산시 65
 
4.5%
김해시 51
 
3.5%
물금읍 24
 
1.6%
2층 23
 
1.6%
의창구 23
 
1.6%
성산구 20
 
1.4%
관리동 20
 
1.4%
마산회원구 19
 
1.3%
Other values (639) 880
60.4%
2023-12-11T08:51:46.812944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1218
 
17.4%
남 282
 
4.0%
상 271
 
3.9%
도 269
 
3.9%
경 265
 
3.8%
시 243
 
3.5%
1 234
 
3.4%
로 206
 
3.0%
동 164
 
2.3%
2 156
 
2.2%
Other values (256) 3673
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4491
64.3%
Space Separator 1218
 
17.4%
Decimal Number 1007
 
14.4%
Other Punctuation 89
 
1.3%
Close Punctuation 68
 
1.0%
Open Punctuation 64
 
0.9%
Dash Punctuation 40
 
0.6%
Lowercase Letter 3
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 282
 
6.3%
상 271
 
6.0%
도 269
 
6.0%
경 265
 
5.9%
시 243
 
5.4%
로 206
 
4.6%
동 164
 
3.7%
산 151
 
3.4%
원 127
 
2.8%
창 120
 
2.7%
Other values (236) 2393
53.3%
Decimal Number
ValueCountFrequency (%)
1 234
23.2%
2 156
15.5%
3 112
11.1%
5 94
9.3%
6 86
 
8.5%
4 83
 
8.2%
7 74
 
7.3%
9 62
 
6.2%
8 54
 
5.4%
0 52
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 85
95.5%
. 3
 
3.4%
· 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
1218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4491
64.3%
Common 2486
35.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 282
 
6.3%
상 271
 
6.0%
도 269
 
6.0%
경 265
 
5.9%
시 243
 
5.4%
로 206
 
4.6%
동 164
 
3.7%
산 151
 
3.4%
원 127
 
2.8%
창 120
 
2.7%
Other values (236) 2393
53.3%
Common
ValueCountFrequency (%)
1218
49.0%
1 234
 
9.4%
2 156
 
6.3%
3 112
 
4.5%
5 94
 
3.8%
6 86
 
3.5%
, 85
 
3.4%
4 83
 
3.3%
7 74
 
3.0%
) 68
 
2.7%
Other values (7) 276
 
11.1%
Latin
ValueCountFrequency (%)
e 2
50.0%
s 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4491
64.3%
ASCII 2489
35.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1218
48.9%
1 234
 
9.4%
2 156
 
6.3%
3 112
 
4.5%
5 94
 
3.8%
6 86
 
3.5%
, 85
 
3.4%
4 83
 
3.3%
7 74
 
3.0%
) 68
 
2.7%
Other values (9) 279
 
11.2%
Hangul
ValueCountFrequency (%)
남 282
 
6.3%
상 271
 
6.0%
도 269
 
6.0%
경 265
 
5.9%
시 243
 
5.4%
로 206
 
4.6%
동 164
 
3.7%
산 151
 
3.4%
원 127
 
2.8%
창 120
 
2.7%
Other values (236) 2393
53.3%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct250
Distinct (%)98.4%
Missing16
Missing (%)5.9%
Memory size2.2 KiB
2023-12-11T08:51:47.114083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.07874
Min length12

Characters and Unicode

Total characters3068
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

Unique247 ?
Unique (%)97.2%

Sample

1st row055-254-4811
2nd row055-392-5900
3rd row055-392-5950
4th row055-392-5940
5th row055-392-5965
ValueCountFrequency (%)
055-650-2630 3
 
1.2%
055-359-6026 2
 
0.8%
055-670-2205 2
 
0.8%
055-648-8092 1
 
0.4%
055-314-5879 1
 
0.4%
055-286-5506 1
 
0.4%
055-263-8216 1
 
0.4%
070-8723-4204 1
 
0.4%
055-242-0484 1
 
0.4%
055-312-9822 1
 
0.4%
Other values (240) 240
94.5%
2023-12-11T08:51:47.536459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 647
21.1%
- 508
16.6%
0 454
14.8%
3 261
8.5%
2 230
 
7.5%
6 177
 
5.8%
7 169
 
5.5%
8 164
 
5.3%
4 164
 
5.3%
1 159
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2560
83.4%
Dash Punctuation 508
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 647
25.3%
0 454
17.7%
3 261
10.2%
2 230
 
9.0%
6 177
 
6.9%
7 169
 
6.6%
8 164
 
6.4%
4 164
 
6.4%
1 159
 
6.2%
9 135
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 508
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3068
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 647
21.1%
- 508
16.6%
0 454
14.8%
3 261
8.5%
2 230
 
7.5%
6 177
 
5.8%
7 169
 
5.5%
8 164
 
5.3%
4 164
 
5.3%
1 159
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3068
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 647
21.1%
- 508
16.6%
0 454
14.8%
3 261
8.5%
2 230
 
7.5%
6 177
 
5.8%
7 169
 
5.5%
8 164
 
5.3%
4 164
 
5.3%
1 159
 
5.2%

기관홈페이지
Text

MISSING 

Distinct85
Distinct (%)51.8%
Missing106
Missing (%)39.3%
Memory size2.2 KiB
2023-12-11T08:51:47.789879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length67
Mean length28.981707
Min length16

Characters and Unicode

Total characters4753
Distinct characters51
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)45.7%

Sample

1st rowhttp:lib.gyeongnam.go.kr
2nd rowhttp:lib.yangsan.go.kr
3rd rowhttp:lib.yangsan.go.kr
4th rowhttp:lib.yangsan.go.kr
5th rowhttp:lib.yangsan.go.kr
ValueCountFrequency (%)
http://www.lib.gimhae.go.kr 48
29.3%
http://lib.geoje.go.kr 11
 
6.7%
http:lib.yangsan.go.kr 9
 
5.5%
www.tongyeonglib.or.kr 6
 
3.7%
http://jinjulib.or.kr 5
 
3.0%
www.myclib.or.kr/main 2
 
1.2%
http:lib.yangsan.go.krsmalllibrary 2
 
1.2%
http://lib.yangsan.go.kr/smalllibrary/s_library_con.php?id=1540797320 2
 
1.2%
http:lib.geoje.go.kr 2
 
1.2%
http://hjlib.or.kr 2
 
1.2%
Other values (75) 75
45.7%
2023-12-11T08:51:48.176457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 538
 
11.3%
/ 324
 
6.8%
t 319
 
6.7%
g 298
 
6.3%
i 265
 
5.6%
r 253
 
5.3%
h 252
 
5.3%
o 229
 
4.8%
l 223
 
4.7%
w 203
 
4.3%
Other values (41) 1849
38.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3497
73.6%
Other Punctuation 1034
 
21.8%
Decimal Number 161
 
3.4%
Connector Punctuation 31
 
0.7%
Math Symbol 18
 
0.4%
Uppercase Letter 10
 
0.2%
Space Separator 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 319
 
9.1%
g 298
 
8.5%
i 265
 
7.6%
r 253
 
7.2%
h 252
 
7.2%
o 229
 
6.5%
l 223
 
6.4%
w 203
 
5.8%
a 196
 
5.6%
b 190
 
5.4%
Other values (13) 1069
30.6%
Decimal Number
ValueCountFrequency (%)
1 29
18.0%
4 25
15.5%
0 21
13.0%
7 18
11.2%
5 17
10.6%
3 13
8.1%
9 11
 
6.8%
2 11
 
6.8%
8 9
 
5.6%
6 7
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 538
52.0%
/ 324
31.3%
: 152
 
14.7%
? 16
 
1.5%
& 2
 
0.2%
# 1
 
0.1%
; 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
K 2
20.0%
A 2
20.0%
O 2
20.0%
C 1
10.0%
F 1
10.0%
E 1
10.0%
B 1
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%
Math Symbol
ValueCountFrequency (%)
= 18
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3507
73.8%
Common 1246
 
26.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 319
 
9.1%
g 298
 
8.5%
i 265
 
7.6%
r 253
 
7.2%
h 252
 
7.2%
o 229
 
6.5%
l 223
 
6.4%
w 203
 
5.8%
a 196
 
5.6%
b 190
 
5.4%
Other values (20) 1079
30.8%
Common
ValueCountFrequency (%)
. 538
43.2%
/ 324
26.0%
: 152
 
12.2%
_ 31
 
2.5%
1 29
 
2.3%
4 25
 
2.0%
0 21
 
1.7%
7 18
 
1.4%
= 18
 
1.4%
5 17
 
1.4%
Other values (11) 73
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 538
 
11.3%
/ 324
 
6.8%
t 319
 
6.7%
g 298
 
6.3%
i 265
 
5.6%
r 253
 
5.3%
h 252
 
5.3%
o 229
 
4.8%
l 223
 
4.7%
w 203
 
4.3%
Other values (41) 1849
38.9%

Missing values

2023-12-11T08:51:45.092397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:51:45.175649image/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.
2023-12-11T08:51:45.288850image/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

도서관이름주소전화번호기관홈페이지
0경남 경남대표도서관경상남도 창원시 의창구 사림로45번길 59055-254-4811http:lib.gyeongnam.go.kr
1양산시립도서관경상남도 양산시 물금읍 청룡로 11055-392-5900http:lib.yangsan.go.kr
2양산웅상도서관경상남도 양산시 웅상대로 1009-2055-392-5950http:lib.yangsan.go.kr
3양산영어도서관경상남도 양산시 대평들1길 9-10055-392-5940http:lib.yangsan.go.kr
4상북어린이도서관경상남도 양산시 상북면 반회서7길 14-16055-392-5965http:lib.yangsan.go.kr
5e-편한 작은도서관경상남도 양산시 양주로 33055-386-1170<NA>
6경남아너스빌 작은도서관경상남도 양산시 양주로 16070-8167-7990<NA>
7극동 작은도서관경상남도 양산시 동면 계석로 10055-383-5789<NA>
8글고은 작은도서관경상남도 양산시 동면 석산6길 28070-7350-8582<NA>
9글마루 작은도서관경상남도 양산시 물금읍 신주로 35055-910-8022<NA>
도서관이름주소전화번호기관홈페이지
260경남 경상남도교육청의령도서관경상남도 의령군 의병읍 의병로 25길 9-8055-572-0941http://urlib.gne.go.kr/
261경남 경상남도교육청진동도서관경상남도 창원시 마산합포구 진동면 삼진의거대로 661-94055-271-8144http://jdlib.gne.go.kr/
262경남 경상남도교육청진양도서관경상남도 진주시 문산읍 동부로 588번길 24055-761-2722http://jinlib.gne.go.kr/
263경남 경상남도교육청진영도서관경상남도 김해시 진영읍 진영로265번길 9-61055-345-1995http://jylib.gne.go.kr/
264경남 경상남도교육청창녕도서관경상남도 창녕군 창녕읍 남창녕로 52055-532-9501http://cnlib.gne.go.kr
265경남 경상남도교육청창원도서관경상남도 창원시 성산구 두대로 203(중앙동106-3)055-278-2871http://cwlib.gne.go.kr/
266경남 경상남도교육청통영도서관경상남도 통영시 봉수로 37055-648-8092http://tylib.gne.go.kr/
267경남 경상남도교육청하남도서관경상남도 밀양시 수산중앙로 63055-391-1848http://hnlib.gne.go.kr/
268경남 경상남도교육청하동도서관경상남도 하동군 하동읍 경서대로 80055-884-7981http://hdlib.gne.go.kr/
269경남 경상남도교육청함안도서관경상남도 함안군 가야읍 함안대로 495055-583-6919http:hmlib.gne.go.kr