Overview

Dataset statistics

Number of variables20
Number of observations85
Missing cells126
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory169.6 B

Variable types

Text5
Categorical6
DateTime3
Numeric6

Dataset

Description파주시 작은도서관에 대한 데이터로써 도서관명, 휴관일, 운영시간, 열람좌석수, 자료수, 주소, 전화번호 등의 정보를 제공합니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/3044643/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
자료수(비도서) is highly overall correlated with 휴관일High correlation
부지면적 is highly overall correlated with 건물면적High correlation
건물면적 is highly overall correlated with 부지면적High correlation
도서관유형 is highly overall correlated with 대출가능권수High correlation
휴관일 is highly overall correlated with 자료수(비도서)High correlation
대출가능권수 is highly overall correlated with 도서관유형 and 1 other fieldsHigh correlation
대출가능일수 is highly overall correlated with 대출가능권수High correlation
도서관유형 is highly imbalanced (78.0%)Imbalance
운영시작시각 has 22 (25.9%) missing valuesMissing
운영종료시각 has 22 (25.9%) missing valuesMissing
열람좌석수 has 1 (1.2%) missing valuesMissing
자료수(비도서) has 6 (7.1%) missing valuesMissing
도서관전화번호 has 14 (16.5%) missing valuesMissing
홈페이지주소 has 61 (71.8%) missing valuesMissing
도서관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
운영기관명 has unique valuesUnique
자료수(연속간행물) has 48 (56.5%) zerosZeros
자료수(비도서) has 64 (75.3%) zerosZeros

Reproduction

Analysis started2023-12-12 13:43:08.281211
Analysis finished2023-12-12 13:43:13.981996
Duration5.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:43:14.163770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.6235294
Min length6

Characters and Unicode

Total characters733
Distinct characters161
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row금곡작은도서관
2nd row탄현작은도서관
3rd row금촌무지개작은도서관
4th row거북작은도서관
5th row겨자씨작은도서관
ValueCountFrequency (%)
금곡작은도서관 1
 
1.2%
안중근기념영혼작은도서관 1
 
1.2%
책보고놀자작은도서관 1
 
1.2%
책놀이터작은도서관 1
 
1.2%
책굼터작은도서관 1
 
1.2%
채움작은도서관 1
 
1.2%
좋은이웃작은도서관 1
 
1.2%
평화도서관 1
 
1.2%
평화를품은집 1
 
1.2%
이음작은도서관 1
 
1.2%
Other values (76) 76
88.4%
2023-12-12T22:43:14.626868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 88
 
12.0%
은 86
 
11.7%
서 85
 
11.6%
관 85
 
11.6%
작 84
 
11.5%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (151) 271
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 722
98.5%
Uppercase Letter 8
 
1.1%
Decimal Number 2
 
0.3%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 88
 
12.2%
은 86
 
11.9%
서 85
 
11.8%
관 85
 
11.8%
작 84
 
11.6%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (146) 260
36.0%
Uppercase Letter
ValueCountFrequency (%)
L 4
50.0%
H 4
50.0%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 722
98.5%
Latin 8
 
1.1%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 88
 
12.2%
은 86
 
11.9%
서 85
 
11.8%
관 85
 
11.8%
작 84
 
11.6%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (146) 260
36.0%
Common
ValueCountFrequency (%)
1
33.3%
6 1
33.3%
1 1
33.3%
Latin
ValueCountFrequency (%)
L 4
50.0%
H 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 722
98.5%
ASCII 11
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 88
 
12.2%
은 86
 
11.9%
서 85
 
11.8%
관 85
 
11.8%
작 84
 
11.6%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (146) 260
36.0%
ASCII
ValueCountFrequency (%)
L 4
36.4%
H 4
36.4%
1
 
9.1%
6 1
 
9.1%
1 1
 
9.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
경기도
85 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 85
100.0%

Length

2023-12-12T22:43:14.798050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:14.946588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 85
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
파주시
85 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 85
100.0%

Length

2023-12-12T22:43:15.073238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:15.192919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 85
100.0%

도서관유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
사립작은도서관
82 
공립작은도서관
 
3

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립작은도서관
2nd row공립작은도서관
3rd row공립작은도서관
4th row사립작은도서관
5th row사립작은도서관

Common Values

ValueCountFrequency (%)
사립작은도서관 82
96.5%
공립작은도서관 3
 
3.5%

Length

2023-12-12T22:43:15.314649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:15.433583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립작은도서관 82
96.5%
공립작은도서관 3
 
3.5%

휴관일
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size812.0 B
토+일
34 
임시휴관중
17 
일
12 
월
7 
일+월
 
2
Other values (10)
13 

Length

Max length10
Median length7
Mean length3.3176471
Min length1

Unique

Unique7 ?
Unique (%)8.2%

Sample

1st row일+월
2nd row토+일
3rd row월
4th row임시휴관중
5th row월

Common Values

ValueCountFrequency (%)
토+일 34
40.0%
임시휴관중 17
20.0%
일 12
 
14.1%
월 7
 
8.2%
일+월 2
 
2.4%
<NA> 2
 
2.4%
운영준비중 2
 
2.4%
개관준비중 2
 
2.4%
화+수+금+일 1
 
1.2%
월+토+일 1
 
1.2%
Other values (5) 5
 
5.9%

Length

2023-12-12T22:43:15.545507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토+일 34
38.6%
임시휴관중 17
19.3%
일 12
 
13.6%
월 7
 
8.0%
일+월 2
 
2.3%
na 2
 
2.3%
운영준비중 2
 
2.3%
개관준비중 2
 
2.3%
토+일+월 1
 
1.1%
주민 1
 
1.1%
Other values (8) 8
 
9.1%

운영시작시각
Date

MISSING 

Distinct10
Distinct (%)15.9%
Missing22
Missing (%)25.9%
Memory size812.0 B
Minimum2023-12-12 09:00:00
Maximum2023-12-12 15:00:00
2023-12-12T22:43:15.654798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:15.753178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

운영종료시각
Date

MISSING 

Distinct8
Distinct (%)12.7%
Missing22
Missing (%)25.9%
Memory size812.0 B
Minimum2023-12-12 00:00:00
Maximum2023-12-12 22:00:00
2023-12-12T22:43:15.861195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:15.970354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

열람좌석수
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)42.9%
Missing1
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean32.345238
Minimum6
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:43:16.133881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q117.5
median30
Q340
95-th percentile80
Maximum103
Range97
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation21.228246
Coefficient of variation (CV)0.65630204
Kurtosis1.4537534
Mean32.345238
Median Absolute Deviation (MAD)12
Skewness1.3132412
Sum2717
Variance450.63841
MonotonicityNot monotonic
2023-12-12T22:43:16.287960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
30 10
 
11.8%
20 9
 
10.6%
40 6
 
7.1%
12 5
 
5.9%
10 5
 
5.9%
50 5
 
5.9%
16 4
 
4.7%
25 3
 
3.5%
80 3
 
3.5%
18 3
 
3.5%
Other values (26) 31
36.5%
ValueCountFrequency (%)
6 2
 
2.4%
8 2
 
2.4%
10 5
5.9%
12 5
5.9%
14 2
 
2.4%
15 1
 
1.2%
16 4
4.7%
18 3
 
3.5%
20 9
10.6%
23 1
 
1.2%
ValueCountFrequency (%)
103 1
 
1.2%
90 1
 
1.2%
84 1
 
1.2%
80 3
3.5%
75 1
 
1.2%
74 1
 
1.2%
60 2
 
2.4%
54 1
 
1.2%
50 5
5.9%
46 1
 
1.2%

자료수(도서)
Real number (ℝ)

Distinct76
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6371.7412
Minimum1000
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:43:16.424550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1012.8
Q12500
median5000
Q38928
95-th percentile14244.8
Maximum30000
Range29000
Interquartile range (IQR)6428

Descriptive statistics

Standard deviation5342.6858
Coefficient of variation (CV)0.838497
Kurtosis6.0467791
Mean6371.7412
Median Absolute Deviation (MAD)3000
Skewness1.9953203
Sum541598
Variance28544292
MonotonicityNot monotonic
2023-12-12T22:43:16.563455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2500 3
 
3.5%
5000 3
 
3.5%
2000 2
 
2.4%
8450 2
 
2.4%
1000 2
 
2.4%
6500 2
 
2.4%
7000 2
 
2.4%
6234 1
 
1.2%
4000 1
 
1.2%
6080 1
 
1.2%
Other values (66) 66
77.6%
ValueCountFrequency (%)
1000 2
2.4%
1007 1
1.2%
1008 1
1.2%
1011 1
1.2%
1020 1
1.2%
1026 1
1.2%
1044 1
1.2%
1080 1
1.2%
1213 1
1.2%
1500 1
1.2%
ValueCountFrequency (%)
30000 1
1.2%
28000 1
1.2%
17842 1
1.2%
15000 1
1.2%
14483 1
1.2%
13292 1
1.2%
13000 1
1.2%
12651 1
1.2%
12122 1
1.2%
12063 1
1.2%

자료수(연속간행물)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7529412
Minimum0
Maximum210
Zeros48
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:43:16.685340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile23
Maximum210
Range210
Interquartile range (IQR)4

Descriptive statistics

Standard deviation25.638005
Coefficient of variation (CV)3.7965686
Kurtosis49.743181
Mean6.7529412
Median Absolute Deviation (MAD)0
Skewness6.7174656
Sum574
Variance657.30728
MonotonicityNot monotonic
2023-12-12T22:43:16.824221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 48
56.5%
2 7
 
8.2%
4 5
 
5.9%
7 4
 
4.7%
1 3
 
3.5%
8 3
 
3.5%
3 2
 
2.4%
6 2
 
2.4%
5 2
 
2.4%
26 1
 
1.2%
Other values (8) 8
 
9.4%
ValueCountFrequency (%)
0 48
56.5%
1 3
 
3.5%
2 7
 
8.2%
3 2
 
2.4%
4 5
 
5.9%
5 2
 
2.4%
6 2
 
2.4%
7 4
 
4.7%
8 3
 
3.5%
9 1
 
1.2%
ValueCountFrequency (%)
210 1
 
1.2%
100 1
 
1.2%
50 1
 
1.2%
26 1
 
1.2%
25 1
 
1.2%
15 1
 
1.2%
12 1
 
1.2%
10 1
 
1.2%
9 1
 
1.2%
8 3
3.5%

자료수(비도서)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct15
Distinct (%)19.0%
Missing6
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean25.924051
Minimum0
Maximum1568
Zeros64
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:43:16.927330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile45.5
Maximum1568
Range1568
Interquartile range (IQR)0

Descriptive statistics

Standard deviation176.59136
Coefficient of variation (CV)6.8118736
Kurtosis77.395005
Mean25.924051
Median Absolute Deviation (MAD)0
Skewness8.7581027
Sum2048
Variance31184.507
MonotonicityNot monotonic
2023-12-12T22:43:17.047549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 64
75.3%
3 2
 
2.4%
52 1
 
1.2%
45 1
 
1.2%
50 1
 
1.2%
25 1
 
1.2%
40 1
 
1.2%
27 1
 
1.2%
22 1
 
1.2%
20 1
 
1.2%
Other values (5) 5
 
5.9%
(Missing) 6
 
7.1%
ValueCountFrequency (%)
0 64
75.3%
3 2
 
2.4%
15 1
 
1.2%
20 1
 
1.2%
22 1
 
1.2%
25 1
 
1.2%
27 1
 
1.2%
30 1
 
1.2%
31 1
 
1.2%
40 1
 
1.2%
ValueCountFrequency (%)
1568 1
1.2%
117 1
1.2%
52 1
1.2%
50 1
1.2%
45 1
1.2%
40 1
1.2%
31 1
1.2%
30 1
1.2%
27 1
1.2%
25 1
1.2%

대출가능권수
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
5
58 
<NA>
12 
0
9 
7
 
4
1
 
1

Length

Max length4
Median length1
Mean length1.4235294
Min length1

Unique

Unique2 ?
Unique (%)2.4%

Sample

1st row7
2nd row7
3rd row7
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 58
68.2%
<NA> 12
 
14.1%
0 9
 
10.6%
7 4
 
4.7%
1 1
 
1.2%
4 1
 
1.2%

Length

2023-12-12T22:43:17.199081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:17.332828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 58
68.2%
na 12
 
14.1%
0 9
 
10.6%
7 4
 
4.7%
1 1
 
1.2%
4 1
 
1.2%

대출가능일수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size812.0 B
14
62 
<NA>
12 
0
9 
7
 
2

Length

Max length4
Median length2
Mean length2.1529412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row14
2nd row14
3rd row14
4th row14
5th row14

Common Values

ValueCountFrequency (%)
14 62
72.9%
<NA> 12
 
14.1%
0 9
 
10.6%
7 2
 
2.4%

Length

2023-12-12T22:43:17.484654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:17.638426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
14 62
72.9%
na 12
 
14.1%
0 9
 
10.6%
7 2
 
2.4%

소재지도로명주소
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:43:17.929111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length31
Mean length23.482353
Min length14

Characters and Unicode

Total characters1996
Distinct characters192
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

Unique85 ?
Unique (%)100.0%

Sample

1st row경기도 파주시 법원읍 술이홀로 1315
2nd row경기도 파주시 탄현면 소금쟁이길 71
3rd row경기도 파주시 새꽃로 193
4th row경기도 파주시 파주읍 거북뫼길 115
5th row경기도 파주시 숲속노을로 271, 고산프라자 303호
ValueCountFrequency (%)
경기도 85
 
18.9%
파주시 85
 
18.9%
문산읍 8
 
1.8%
탄현면 6
 
1.3%
교하로 5
 
1.1%
2층 5
 
1.1%
20 4
 
0.9%
가람로 4
 
0.9%
70 4
 
0.9%
와석순환로 4
 
0.9%
Other values (204) 239
53.2%
2023-12-12T22:43:18.411578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
364
 
18.2%
파 99
 
5.0%
주 93
 
4.7%
시 90
 
4.5%
도 87
 
4.4%
기 87
 
4.4%
경 85
 
4.3%
로 69
 
3.5%
0 51
 
2.6%
1 48
 
2.4%
Other values (182) 923
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1263
63.3%
Space Separator 364
 
18.2%
Decimal Number 299
 
15.0%
Other Punctuation 47
 
2.4%
Dash Punctuation 13
 
0.7%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 99
 
7.8%
주 93
 
7.4%
시 90
 
7.1%
도 87
 
6.9%
기 87
 
6.9%
경 85
 
6.7%
로 69
 
5.5%
을 33
 
2.6%
지 31
 
2.5%
단 29
 
2.3%
Other values (165) 560
44.3%
Decimal Number
ValueCountFrequency (%)
0 51
17.1%
1 48
16.1%
2 39
13.0%
3 33
11.0%
7 30
10.0%
5 27
9.0%
4 23
7.7%
8 17
 
5.7%
6 17
 
5.7%
9 14
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
364
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1263
63.3%
Common 731
36.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 99
 
7.8%
주 93
 
7.4%
시 90
 
7.1%
도 87
 
6.9%
기 87
 
6.9%
경 85
 
6.7%
로 69
 
5.5%
을 33
 
2.6%
지 31
 
2.5%
단 29
 
2.3%
Other values (165) 560
44.3%
Common
ValueCountFrequency (%)
364
49.8%
0 51
 
7.0%
1 48
 
6.6%
, 47
 
6.4%
2 39
 
5.3%
3 33
 
4.5%
7 30
 
4.1%
5 27
 
3.7%
4 23
 
3.1%
8 17
 
2.3%
Other values (5) 52
 
7.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1263
63.3%
ASCII 733
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
364
49.7%
0 51
 
7.0%
1 48
 
6.5%
, 47
 
6.4%
2 39
 
5.3%
3 33
 
4.5%
7 30
 
4.1%
5 27
 
3.7%
4 23
 
3.1%
8 17
 
2.3%
Other values (7) 54
 
7.4%
Hangul
ValueCountFrequency (%)
파 99
 
7.8%
주 93
 
7.4%
시 90
 
7.1%
도 87
 
6.9%
기 87
 
6.9%
경 85
 
6.7%
로 69
 
5.5%
을 33
 
2.6%
지 31
 
2.5%
단 29
 
2.3%
Other values (165) 560
44.3%

운영기관명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:43:18.659422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length8.6235294
Min length6

Characters and Unicode

Total characters733
Distinct characters161
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row금곡작은도서관
2nd row탄현작은도서관
3rd row금촌무지개작은도서관
4th row거북작은도서관
5th row겨자씨작은도서관
ValueCountFrequency (%)
금곡작은도서관 1
 
1.2%
안중근기념영혼작은도서관 1
 
1.2%
책보고놀자작은도서관 1
 
1.2%
책놀이터작은도서관 1
 
1.2%
책굼터작은도서관 1
 
1.2%
채움작은도서관 1
 
1.2%
좋은이웃작은도서관 1
 
1.2%
평화도서관 1
 
1.2%
평화를품은집 1
 
1.2%
이음작은도서관 1
 
1.2%
Other values (76) 76
88.4%
2023-12-12T22:43:19.005438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 88
 
12.0%
은 86
 
11.7%
서 85
 
11.6%
관 85
 
11.6%
작 84
 
11.5%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (151) 271
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 722
98.5%
Uppercase Letter 8
 
1.1%
Decimal Number 2
 
0.3%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 88
 
12.2%
은 86
 
11.9%
서 85
 
11.8%
관 85
 
11.8%
작 84
 
11.6%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (146) 260
36.0%
Uppercase Letter
ValueCountFrequency (%)
L 4
50.0%
H 4
50.0%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 722
98.5%
Latin 8
 
1.1%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 88
 
12.2%
은 86
 
11.9%
서 85
 
11.8%
관 85
 
11.8%
작 84
 
11.6%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (146) 260
36.0%
Common
ValueCountFrequency (%)
1
33.3%
6 1
33.3%
1 1
33.3%
Latin
ValueCountFrequency (%)
L 4
50.0%
H 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 722
98.5%
ASCII 11
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 88
 
12.2%
은 86
 
11.9%
서 85
 
11.8%
관 85
 
11.8%
작 84
 
11.6%
한 9
 
1.2%
꿈 7
 
1.0%
숲 6
 
0.8%
기 6
 
0.8%
마 6
 
0.8%
Other values (146) 260
36.0%
ASCII
ValueCountFrequency (%)
L 4
36.4%
H 4
36.4%
1
 
9.1%
6 1
 
9.1%
1 1
 
9.1%

도서관전화번호
Text

MISSING 

Distinct71
Distinct (%)100.0%
Missing14
Missing (%)16.5%
Memory size812.0 B
2023-12-12T22:43:19.268555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.183099
Min length12

Characters and Unicode

Total characters865
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

Unique71 ?
Unique (%)100.0%

Sample

1st row031-959-9506
2nd row031-946-0350
3rd row031-949-9164
4th row031-954-1245
5th row031-945-0917
ValueCountFrequency (%)
031-959-9506 1
 
1.4%
070-7814-1489 1
 
1.4%
031-975-3981 1
 
1.4%
031-942-3300 1
 
1.4%
031-956-2492 1
 
1.4%
031-945-9106 1
 
1.4%
031-942-9241 1
 
1.4%
031-949-6703 1
 
1.4%
031-942-7810 1
 
1.4%
031-946-0308 1
 
1.4%
Other values (61) 61
85.9%
2023-12-12T22:43:19.631444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 142
16.4%
0 126
14.6%
9 104
12.0%
1 96
11.1%
3 91
10.5%
4 90
10.4%
7 53
 
6.1%
5 48
 
5.5%
2 47
 
5.4%
8 40
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 723
83.6%
Dash Punctuation 142
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
17.4%
9 104
14.4%
1 96
13.3%
3 91
12.6%
4 90
12.4%
7 53
7.3%
5 48
 
6.6%
2 47
 
6.5%
8 40
 
5.5%
6 28
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 142
16.4%
0 126
14.6%
9 104
12.0%
1 96
11.1%
3 91
10.5%
4 90
10.4%
7 53
 
6.1%
5 48
 
5.5%
2 47
 
5.4%
8 40
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 865
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 142
16.4%
0 126
14.6%
9 104
12.0%
1 96
11.1%
3 91
10.5%
4 90
10.4%
7 53
 
6.1%
5 48
 
5.5%
2 47
 
5.4%
8 40
 
4.6%

부지면적
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.81318
Minimum33
Maximum538.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:43:19.749409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile36.614
Q172
median95
Q3138
95-th percentile263
Maximum538.57
Range505.57
Interquartile range (IQR)66

Descriptive statistics

Standard deviation82.841232
Coefficient of variation (CV)0.69723944
Kurtosis8.5984443
Mean118.81318
Median Absolute Deviation (MAD)29
Skewness2.4812698
Sum10099.12
Variance6862.6697
MonotonicityNot monotonic
2023-12-12T22:43:19.858355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 4
 
4.7%
40.0 3
 
3.5%
120.0 3
 
3.5%
74.0 2
 
2.4%
89.0 2
 
2.4%
82.0 2
 
2.4%
99.0 2
 
2.4%
85.0 2
 
2.4%
92.0 2
 
2.4%
138.0 2
 
2.4%
Other values (61) 61
71.8%
ValueCountFrequency (%)
33.0 4
4.7%
36.6 1
 
1.2%
36.67 1
 
1.2%
40.0 3
3.5%
42.0 1
 
1.2%
47.0 1
 
1.2%
49.0 1
 
1.2%
51.0 1
 
1.2%
55.86 1
 
1.2%
58.0 1
 
1.2%
ValueCountFrequency (%)
538.57 1
1.2%
401.0 1
1.2%
356.0 1
1.2%
286.24 1
1.2%
267.0 1
1.2%
247.0 1
1.2%
221.0 1
1.2%
216.25 1
1.2%
203.0 1
1.2%
202.0 1
1.2%

건물면적
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.81318
Minimum33
Maximum538.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:43:19.966276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile36.614
Q172
median95
Q3138
95-th percentile263
Maximum538.57
Range505.57
Interquartile range (IQR)66

Descriptive statistics

Standard deviation82.841232
Coefficient of variation (CV)0.69723944
Kurtosis8.5984443
Mean118.81318
Median Absolute Deviation (MAD)29
Skewness2.4812698
Sum10099.12
Variance6862.6697
MonotonicityNot monotonic
2023-12-12T22:43:20.078049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 4
 
4.7%
40.0 3
 
3.5%
120.0 3
 
3.5%
74.0 2
 
2.4%
89.0 2
 
2.4%
82.0 2
 
2.4%
99.0 2
 
2.4%
85.0 2
 
2.4%
92.0 2
 
2.4%
138.0 2
 
2.4%
Other values (61) 61
71.8%
ValueCountFrequency (%)
33.0 4
4.7%
36.6 1
 
1.2%
36.67 1
 
1.2%
40.0 3
3.5%
42.0 1
 
1.2%
47.0 1
 
1.2%
49.0 1
 
1.2%
51.0 1
 
1.2%
55.86 1
 
1.2%
58.0 1
 
1.2%
ValueCountFrequency (%)
538.57 1
1.2%
401.0 1
1.2%
356.0 1
1.2%
286.24 1
1.2%
267.0 1
1.2%
247.0 1
1.2%
221.0 1
1.2%
216.25 1
1.2%
203.0 1
1.2%
202.0 1
1.2%

홈페이지주소
Text

MISSING 

Distinct22
Distinct (%)91.7%
Missing61
Missing (%)71.8%
Memory size812.0 B
2023-12-12T22:43:20.281690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length52
Mean length48.541667
Min length27

Characters and Unicode

Total characters1165
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)87.5%

Sample

1st rowhttps://lib.paju.go.kr/ghlib/menu/10704/contents/40006/contents.do
2nd rowhttps://lib.paju.go.kr/ghlib/menu/10704/contents/40006/contents.do
3rd rowhttps://lib.paju.go.kr/ghlib/menu/10704/contents/40006/contents.do
4th rowhttp://blog.naver.com/gbdsk
5th rowhttps://hkhk.egentouch.com/main.do?action=main
ValueCountFrequency (%)
https://lib.paju.go.kr/ghlib/menu/10704/contents/40006/contents.do 3
 
12.5%
https://byeolharam.egentouch.com/main.do?action=main 1
 
4.2%
https://shine.egentouch.com/main.do?action=main 1
 
4.2%
https://hanbit.egentouch.com/main.do?action=main 1
 
4.2%
https://purunsoop.egentouch.com/main.do?action=main 1
 
4.2%
https://chaeum.egentouch.com/main.do?action=main 1
 
4.2%
https://nestofpeace.egentouch.com/main.do?action=main 1
 
4.2%
http://cafe.daum.net/hanvitggum 1
 
4.2%
https://munsan.egentouch.com/main.do?action=main 1
 
4.2%
https://yangmun.egentouch.com/main.do?action=main 1
 
4.2%
Other values (12) 12
50.0%
2023-12-12T22:43:20.593209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 106
 
9.1%
t 102
 
8.8%
o 97
 
8.3%
/ 87
 
7.5%
a 78
 
6.7%
. 72
 
6.2%
m 69
 
5.9%
c 65
 
5.6%
i 64
 
5.5%
e 64
 
5.5%
Other values (22) 361
31.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 916
78.6%
Other Punctuation 201
 
17.3%
Decimal Number 30
 
2.6%
Math Symbol 18
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 106
11.6%
t 102
11.1%
o 97
10.6%
a 78
8.5%
m 69
 
7.5%
c 65
 
7.1%
i 64
 
7.0%
e 64
 
7.0%
h 53
 
5.8%
u 35
 
3.8%
Other values (12) 183
20.0%
Decimal Number
ValueCountFrequency (%)
0 15
50.0%
4 6
 
20.0%
7 3
 
10.0%
1 3
 
10.0%
6 3
 
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 87
43.3%
. 72
35.8%
: 24
 
11.9%
? 18
 
9.0%
Math Symbol
ValueCountFrequency (%)
= 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 916
78.6%
Common 249
 
21.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 106
11.6%
t 102
11.1%
o 97
10.6%
a 78
8.5%
m 69
 
7.5%
c 65
 
7.1%
i 64
 
7.0%
e 64
 
7.0%
h 53
 
5.8%
u 35
 
3.8%
Other values (12) 183
20.0%
Common
ValueCountFrequency (%)
/ 87
34.9%
. 72
28.9%
: 24
 
9.6%
? 18
 
7.2%
= 18
 
7.2%
0 15
 
6.0%
4 6
 
2.4%
7 3
 
1.2%
1 3
 
1.2%
6 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 106
 
9.1%
t 102
 
8.8%
o 97
 
8.3%
/ 87
 
7.5%
a 78
 
6.7%
. 72
 
6.2%
m 69
 
5.9%
c 65
 
5.6%
i 64
 
5.5%
e 64
 
5.5%
Other values (22) 361
31.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2023-09-08 00:00:00
Maximum2023-09-08 00:00:00
2023-12-12T22:43:20.692257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:20.782296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:43:12.285290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.354840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.901802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.463038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.957027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.669998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:12.396037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.449828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.999949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.541913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.047848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.755274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:12.532420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.550715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.092086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.628138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.139845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.863871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:12.640128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.646938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.178180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.700887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.230325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.966970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:12.747130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.745541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.283700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.789816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.363870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:12.075909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:12.832631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:09.819774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.367340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:10.870497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:11.510759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:12.179855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:43:20.880215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명도서관유형휴관일운영시작시각운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소
도서관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도서관유형1.0001.0000.2730.0000.0000.2960.3030.2740.0000.7160.0001.0001.0001.0000.3020.3021.000
휴관일1.0000.2731.0000.0000.0000.4370.0000.0001.0000.0000.0001.0001.0001.0000.5850.5850.000
운영시작시각1.0000.0000.0001.0000.7170.0000.0000.1570.0000.0000.0001.0001.0001.0000.3840.3840.537
운영종료시각1.0000.0000.0000.7171.0000.4540.0000.8690.0000.4130.0001.0001.0001.0000.4910.4910.709
열람좌석수1.0000.2960.4370.0000.4541.0000.1300.0000.0000.5130.0001.0001.0001.0000.8840.8840.000
자료수(도서)1.0000.3030.0000.0000.0000.1301.0000.5900.0000.0000.0001.0001.0001.0000.4530.4531.000
자료수(연속간행물)1.0000.2740.0000.1570.8690.0000.5901.0000.0000.0000.0001.0001.0001.0000.0000.0000.000
자료수(비도서)1.0000.0001.0000.0000.0000.0000.0000.0001.0000.0000.0001.0001.0001.0000.0000.000NaN
대출가능권수1.0000.7160.0000.0000.4130.5130.0000.0000.0001.0000.8261.0001.0001.0000.0000.0001.000
대출가능일수1.0000.0000.0000.0000.0000.0000.0000.0000.0000.8261.0001.0001.0001.0000.0000.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
운영기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도서관전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
부지면적1.0000.3020.5850.3840.4910.8840.4530.0000.0000.0000.0001.0001.0001.0001.0001.0000.000
건물면적1.0000.3020.5850.3840.4910.8840.4530.0000.0000.0000.0001.0001.0001.0001.0001.0000.000
홈페이지주소1.0001.0000.0000.5370.7090.0001.0000.000NaN1.0001.0001.0001.0001.0000.0000.0001.000
2023-12-12T22:43:21.067801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출가능권수휴관일도서관유형대출가능일수
대출가능권수1.0000.0000.8330.843
휴관일0.0001.0000.1920.000
도서관유형0.8330.1921.0000.000
대출가능일수0.8430.0000.0001.000
2023-12-12T22:43:21.429681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)부지면적건물면적도서관유형휴관일대출가능권수대출가능일수
열람좌석수1.0000.2460.1150.0740.4410.4410.2810.1880.3150.000
자료수(도서)0.2461.0000.3810.1670.3080.3080.3170.0000.0000.000
자료수(연속간행물)0.1150.3811.0000.2770.3000.3000.3270.0000.0000.000
자료수(비도서)0.0740.1670.2771.0000.1040.1040.0000.9380.0000.000
부지면적0.4410.3080.3000.1041.0001.0000.2870.2800.0000.000
건물면적0.4410.3080.3000.1041.0001.0000.2870.2800.0000.000
도서관유형0.2810.3170.3270.0000.2870.2871.0000.1920.8330.000
휴관일0.1880.0000.0000.9380.2800.2800.1921.0000.0000.000
대출가능권수0.3150.0000.0000.0000.0000.0000.8330.0001.0000.843
대출가능일수0.0000.0000.0000.0000.0000.0000.0000.0000.8431.000

Missing values

2023-12-12T22:43:12.996664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:43:13.613691image/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.
2023-12-12T22:43:13.846528image/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

도서관명시도명시군구명도서관유형휴관일운영시작시각운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소데이터기준일자
0금곡작은도서관경기도파주시공립작은도서관일+월10:0017:00908712452714경기도 파주시 법원읍 술이홀로 1315금곡작은도서관031-959-9506247.0247.0https://lib.paju.go.kr/ghlib/menu/10704/contents/40006/contents.do2023-09-08
1탄현작은도서관경기도파주시공립작은도서관토+일11:0017:0012892880714경기도 파주시 탄현면 소금쟁이길 71탄현작은도서관031-946-035084.084.0https://lib.paju.go.kr/ghlib/menu/10704/contents/40006/contents.do2023-09-08
2금촌무지개작은도서관경기도파주시공립작은도서관월10:0019:00329520260714경기도 파주시 새꽃로 193금촌무지개작은도서관031-949-9164103.0103.0https://lib.paju.go.kr/ghlib/menu/10704/contents/40006/contents.do2023-09-08
3거북작은도서관경기도파주시사립작은도서관임시휴관중<NA><NA>541265100514경기도 파주시 파주읍 거북뫼길 115거북작은도서관031-954-1245178.0178.0http://blog.naver.com/gbdsk2023-09-08
4겨자씨작은도서관경기도파주시사립작은도서관월15:0018:0010300000514경기도 파주시 숲속노을로 271, 고산프라자 303호겨자씨작은도서관<NA>33.033.0<NA>2023-09-08
5글향기작은도서관경기도파주시사립작은도서관토+일14:0018:00509264345514경기도 파주시 한울로 100, 한울마을6단지글향기작은도서관031-945-0917163.0163.0https://hkhk.egentouch.com/main.do?action=main2023-09-08
6꿈꾸는작은도서관경기도파주시사립작은도서관일10:0018:008700040514경기도 파주시 운정1길 101, 주안에행복한교회꿈꾸는작은도서관031-949-337966.066.0http://cafe.daum.net/juanedream2023-09-08
7꿈더하기작은도서관경기도파주시사립작은도서관토+일14:0018:0020670060514경기도 파주시 교하로 50꿈더하기작은도서관031-949-609490.0790.07<NA>2023-09-08
8꿈자람터작은도서관경기도파주시사립작은도서관<NA>10:0018:0018210000514경기도 파주시 광탄면 장지산로 70 진지동교회꿈자람터작은도서관<NA>138.0138.0<NA>2023-09-08
9꿈터작은도서관경기도파주시사립작은도서관토+일13:0017:00403220150514경기도 파주시 새꽃로 203-2꿈터작은도서관<NA>72.072.0<NA>2023-09-08
도서관명시도명시군구명도서관유형휴관일운영시작시각운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소데이터기준일자
75한톨작은도서관경기도파주시사립작은도서관토+일13:0018:0040150002100514경기도 파주시 가람로 22, 가람마을1단지한톨작은도서관070-8628-3982203.0203.0<NA>2023-09-08
76행복한작은도서관경기도파주시사립작은도서관토+일10:0017:00304745150514경기도 파주시 한울로 84, 한울마을5단지행복한작은도서관031-949-9112115.0115.0https://hantol.egentouch.com/main.do?action=main2023-09-08
77휴아림작은도서관경기도파주시사립작은도서관토+일10:0017:00162706830<NA><NA>경기도 파주시 해올로 20 (다율동, 해오름마을 12단지 휴아림)휴아림작은도서관<NA>102.12102.12<NA>2023-09-08
78휴튼작은도서관경기도파주시사립작은도서관임시휴관중<NA><NA>34250000514경기도 파주시 미래로 562, 가람마을9단지휴튼작은도서관031-949-874975.075.0<NA>2023-09-08
79힐스테이트운정작은도서관경기도파주시사립작은도서관일10:0018:003285040000경기도 파주시 교하로 100, 산내마을9단지힐스테이트운정작은도서관070-4290-5973119.6119.6<NA>2023-09-08
80힐스테이트작은도서관경기도파주시사립작은도서관토+일14:0018:0050783300514경기도 파주시 방촌로 1744, 힐스테이트아파트힐스테이트작은도서관031-953-3892113.0113.0<NA>2023-09-08
81LH가람6작은도서관경기도파주시사립작은도서관일14:0017:001638192057경기도 파주시 가람로 90, 가람마을6단지LH가람6작은도서관031-945-7223154.9154.9<NA>2023-09-08
82LH꿈과희망작은도서관경기도파주시사립작은도서관토+일10:0017:0020174500<NA><NA>경기도 파주시 파주읍 파주리 816, 파주휴먼시아LH꿈과희망작은도서관031-954-150155.8655.86<NA>2023-09-08
83LH청년카페작은도서관경기도파주시사립작은도서관<NA>10:0019:0030260070<NA><NA>경기도 파주시 교하로 20LH청년카페작은도서관031-949-9611185.81185.81<NA>2023-09-08
84LH행복길동무작은도서관경기도파주시사립작은도서관토+일10:0017:0035315040514경기도 파주시 문발로 430, LH1단지LH행복길동무작은도서관031-957-1145128.0128.0<NA>2023-09-08