Overview

Dataset statistics

Number of variables6
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory51.4 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description경상남도 시립 및 교육도서관에 대한 데이터 항목 자료를 제공합니다.(시설명, 소새지, 전화번호, 홈페이지 주소 등)
Author경상남도
URLhttps://www.data.go.kr/data/15049412/fileData.do

Alerts

시설유형 has constant value ""Constant
글번호 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:24:58.811939
Analysis finished2023-12-11 23:24:59.441938
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

글번호
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T08:24:59.502070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2023-12-12T08:24:59.656866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

시설유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
도서관
56 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도서관 56
100.0%

Length

2023-12-12T08:24:59.780549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:24:59.874880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도서관 56
100.0%

시설명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T08:25:00.056831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.9821429
Min length5

Characters and Unicode

Total characters391
Distinct characters77
Distinct categories2 ?
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 (%)100.0%

Sample

1st row진영도서관
2nd row밀양도서관
3rd row밀양하남도서관
4th row거제도서관
5th row양산도서관
ValueCountFrequency (%)
마산회원도서관 2
 
3.5%
진영도서관 1
 
1.8%
진주시비봉어린이전문도서관 1
 
1.8%
진주시도동어린이도서관 1
 
1.8%
통영시립산양도서관 1
 
1.8%
통영욕지도서관 1
 
1.8%
통영시립도서관 1
 
1.8%
김해칠암도서관 1
 
1.8%
김해장유도서관 1
 
1.8%
화정글샘도서관 1
 
1.8%
Other values (46) 46
80.7%
2023-12-12T08:25:00.443162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 58
 
14.8%
도 57
 
14.6%
관 57
 
14.6%
진 12
 
3.1%
시 12
 
3.1%
산 11
 
2.8%
립 10
 
2.6%
창 10
 
2.6%
양 9
 
2.3%
해 8
 
2.0%
Other values (67) 147
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
99.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
 
14.9%
도 57
 
14.6%
관 57
 
14.6%
진 12
 
3.1%
시 12
 
3.1%
산 11
 
2.8%
립 10
 
2.6%
창 10
 
2.6%
양 9
 
2.3%
해 8
 
2.1%
Other values (66) 146
37.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
 
14.9%
도 57
 
14.6%
관 57
 
14.6%
진 12
 
3.1%
시 12
 
3.1%
산 11
 
2.8%
립 10
 
2.6%
창 10
 
2.6%
양 9
 
2.3%
해 8
 
2.1%
Other values (66) 146
37.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 58
 
14.9%
도 57
 
14.6%
관 57
 
14.6%
진 12
 
3.1%
시 12
 
3.1%
산 11
 
2.8%
립 10
 
2.6%
창 10
 
2.6%
양 9
 
2.3%
해 8
 
2.1%
Other values (66) 146
37.4%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T08:25:00.770970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24.5
Mean length19.928571
Min length14

Characters and Unicode

Total characters1116
Distinct characters127
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

Unique56 ?
Unique (%)100.0%

Sample

1st row김해시 진영읍 진영로 265번길 9-61
2nd row밀양시 삼랑진읍 만어로 7
3rd row밀양시 하남읍 수산중앙로 63
4th row거제시 계룡산7길 2 (고현동)
5th row양산시 희망고개 1길 25 (북부동)
ValueCountFrequency (%)
창원시 14
 
5.6%
진주시 6
 
2.4%
김해시 6
 
2.4%
거제시 4
 
1.6%
통영시 4
 
1.6%
진해구 3
 
1.2%
밀양시 3
 
1.2%
마산합포구 3
 
1.2%
마산회원구 3
 
1.2%
성산구 3
 
1.2%
Other values (183) 202
80.5%
2023-12-12T08:25:01.241907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
257
23.0%
로 45
 
4.0%
시 42
 
3.8%
동 37
 
3.3%
1 37
 
3.3%
( 28
 
2.5%
) 28
 
2.5%
길 27
 
2.4%
2 27
 
2.4%
창 24
 
2.2%
Other values (117) 564
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
54.7%
Space Separator 257
23.0%
Decimal Number 184
 
16.5%
Open Punctuation 28
 
2.5%
Close Punctuation 28
 
2.5%
Dash Punctuation 8
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 45
 
7.4%
시 42
 
6.9%
동 37
 
6.1%
길 27
 
4.4%
창 24
 
3.9%
산 23
 
3.8%
읍 22
 
3.6%
원 20
 
3.3%
진 17
 
2.8%
해 15
 
2.5%
Other values (102) 338
55.4%
Decimal Number
ValueCountFrequency (%)
1 37
20.1%
2 27
14.7%
5 19
10.3%
3 18
9.8%
4 17
9.2%
6 16
8.7%
9 16
8.7%
7 15
8.2%
0 12
 
6.5%
8 7
 
3.8%
Space Separator
ValueCountFrequency (%)
257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
54.7%
Common 506
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 45
 
7.4%
시 42
 
6.9%
동 37
 
6.1%
길 27
 
4.4%
창 24
 
3.9%
산 23
 
3.8%
읍 22
 
3.6%
원 20
 
3.3%
진 17
 
2.8%
해 15
 
2.5%
Other values (102) 338
55.4%
Common
ValueCountFrequency (%)
257
50.8%
1 37
 
7.3%
( 28
 
5.5%
) 28
 
5.5%
2 27
 
5.3%
5 19
 
3.8%
3 18
 
3.6%
4 17
 
3.4%
6 16
 
3.2%
9 16
 
3.2%
Other values (5) 43
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
54.7%
ASCII 506
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
257
50.8%
1 37
 
7.3%
( 28
 
5.5%
) 28
 
5.5%
2 27
 
5.3%
5 19
 
3.8%
3 18
 
3.6%
4 17
 
3.4%
6 16
 
3.2%
9 16
 
3.2%
Other values (5) 43
 
8.5%
Hangul
ValueCountFrequency (%)
로 45
 
7.4%
시 42
 
6.9%
동 37
 
6.1%
길 27
 
4.4%
창 24
 
3.9%
산 23
 
3.8%
읍 22
 
3.6%
원 20
 
3.3%
진 17
 
2.8%
해 15
 
2.5%
Other values (102) 338
55.4%

전화번호
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T08:25:01.552135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters672
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

Unique54 ?
Unique (%)96.4%

Sample

1st row055-345-1994
2nd row055-353-6977
3rd row055-637-6313
4th row055-637-6313
5th row055-385-7005
ValueCountFrequency (%)
055-637-6313 2
 
3.6%
055-670-2215 1
 
1.8%
055-392-5900 1
 
1.8%
055-749-2324 1
 
1.8%
055-749-3587 1
 
1.8%
055-749-2525 1
 
1.8%
055-749-4710 1
 
1.8%
055-749-2490 1
 
1.8%
055-330-2971 1
 
1.8%
055-330-4831 1
 
1.8%
Other values (45) 45
80.4%
2023-12-12T08:25:01.951505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 160
23.8%
- 112
16.7%
0 92
13.7%
2 50
 
7.4%
4 48
 
7.1%
3 47
 
7.0%
1 37
 
5.5%
9 35
 
5.2%
7 34
 
5.1%
8 31
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
83.3%
Dash Punctuation 112
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 160
28.6%
0 92
16.4%
2 50
 
8.9%
4 48
 
8.6%
3 47
 
8.4%
1 37
 
6.6%
9 35
 
6.2%
7 34
 
6.1%
8 31
 
5.5%
6 26
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 160
23.8%
- 112
16.7%
0 92
13.7%
2 50
 
7.4%
4 48
 
7.1%
3 47
 
7.0%
1 37
 
5.5%
9 35
 
5.2%
7 34
 
5.1%
8 31
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 160
23.8%
- 112
16.7%
0 92
13.7%
2 50
 
7.4%
4 48
 
7.1%
3 47
 
7.0%
1 37
 
5.5%
9 35
 
5.2%
7 34
 
5.1%
8 31
 
4.6%

홈페이지
Text

Distinct37
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T08:25:02.209424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length23.928571
Min length1

Characters and Unicode

Total characters1340
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)57.1%

Sample

1st rowhttp://jylib.gne.go.kr/
2nd rowhttp://mrlib.gne.go.kr/
3rd rowhttp://hnlib.gne.go.kr/
4th rowhttp://gjlib.gne.go.kr/
5th rowhttp://yslib.gne.go.kr/
ValueCountFrequency (%)
http://lib.changwon.go.kr 10
 
17.9%
http://lib.jinju.go.kr 5
 
8.9%
http://lib.gimhae.go.kr 4
 
7.1%
http://www.tongyeonglib.or.kr 3
 
5.4%
http://lib.geoje.go.kr 2
 
3.6%
1
 
1.8%
http://www.myclib.or.kr 1
 
1.8%
http://mslib.gne.go.kr 1
 
1.8%
http://www.geojelib.go.kr 1
 
1.8%
http://uslib.yangsan.go.kr 1
 
1.8%
Other values (27) 27
48.2%
2023-12-12T08:25:02.657572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 165
12.3%
. 165
12.3%
t 114
 
8.5%
g 104
 
7.8%
h 79
 
5.9%
o 75
 
5.6%
n 66
 
4.9%
r 65
 
4.9%
i 64
 
4.8%
p 56
 
4.2%
Other values (15) 387
28.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 954
71.2%
Other Punctuation 385
28.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 114
11.9%
g 104
10.9%
h 79
 
8.3%
o 75
 
7.9%
n 66
 
6.9%
r 65
 
6.8%
i 64
 
6.7%
p 56
 
5.9%
l 55
 
5.8%
k 55
 
5.8%
Other values (11) 221
23.2%
Other Punctuation
ValueCountFrequency (%)
/ 165
42.9%
. 165
42.9%
: 55
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 954
71.2%
Common 386
28.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 114
11.9%
g 104
10.9%
h 79
 
8.3%
o 75
 
7.9%
n 66
 
6.9%
r 65
 
6.8%
i 64
 
6.7%
p 56
 
5.9%
l 55
 
5.8%
k 55
 
5.8%
Other values (11) 221
23.2%
Common
ValueCountFrequency (%)
/ 165
42.7%
. 165
42.7%
: 55
 
14.2%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 165
12.3%
. 165
12.3%
t 114
 
8.5%
g 104
 
7.8%
h 79
 
5.9%
o 75
 
5.6%
n 66
 
4.9%
r 65
 
4.9%
i 64
 
4.8%
p 56
 
4.2%
Other values (15) 387
28.9%

Interactions

2023-12-12T08:24:59.138568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:25:02.754171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
글번호시설명소재지전화번호홈페이지
글번호1.0001.0001.0001.0000.931
시설명1.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0000.949
홈페이지0.9311.0001.0000.9491.000

Missing values

2023-12-12T08:24:59.273601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:24:59.405680image/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

글번호시설유형시설명소재지전화번호홈페이지
01도서관진영도서관김해시 진영읍 진영로 265번길 9-61055-345-1994http://jylib.gne.go.kr/
12도서관밀양도서관밀양시 삼랑진읍 만어로 7055-353-6977http://mrlib.gne.go.kr/
23도서관밀양하남도서관밀양시 하남읍 수산중앙로 63055-637-6313http://hnlib.gne.go.kr/
34도서관거제도서관거제시 계룡산7길 2 (고현동)055-637-6313http://gjlib.gne.go.kr/
45도서관양산도서관양산시 희망고개 1길 25 (북부동)055-385-7005http://yslib.gne.go.kr/
56도서관의령도서관의령군 의령읍 의병로25길 9-8055-572-0941http://urlib.gne.go.kr/
67도서관함안도서관함안군 가야읍 함안대로 495055-583-2924http://hmlib.gne.go.kr/
78도서관창녕도서관창녕군 창녕읍 남창녕로 52055-532-9504http://cnlib.gne.go.kr/
89도서관창녕남지도서관창녕군 남지읍 낙동로 437055-526-1490http://njlib.gne.go.kr/
910도서관고성도서관고성군 고성읍 성내로 79번길 10055-674-1007http://gslib.gne.go.kr/
글번호시설유형시설명소재지전화번호홈페이지
4647도서관창원도서관창원시 성산구 두대로 203 (중앙동)055-262-9661http://lib.geoje.go.kr/
4748도서관마산도서관창원시 마산합포구 용마산길 12 (산호1동)055-241-9302http://lib.changwon.go.kr/
4849도서관마산진동도서관창원시 마산합포구 진동면 삼진의거대로 661-94055-271-8144http://ghlib.gne.go.kr/
4950도서관진양도서관진주시 문산읍 동부로 588번길 24055-761-2722http://salib.gne.go.kr/
5051도서관통영도서관통영시 봉수로 37 (봉평동)055-648-8091http://scplib.gne.go.kr/
5152도서관삼천포도서관사천시 삼천포 대교로 622 (좌룡동)055-835-4436http://tylib.gne.go.kr/
5253도서관사천도서관사천시 사천읍 평화2길 21055-852-4551http://jinlib.gne.go.kr/
5354도서관김해도서관김해시 가락로 93번길 72 (봉황동)055-320-5500http://jdlib.gne.go.kr/
5455도서관중리초등복합화시설도서관창원시 마산회원구 호계안길 22055-225-7492http://mslib.gne.go.kr/
5556도서관거제시립장평도서관경남 거제시 장평3로 10055-639-3861http://cwlib.gne.go.kr/