Overview

Dataset statistics

Number of variables10
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory86.9 B

Variable types

Text2
Numeric5
DateTime1
Categorical2

Dataset

Description경상남도 양산시 시립도서관 작은도서관 현황에 대한 데이터로 각 도서관명, 소재지, 도서 수, 면적, 열람석 수, 등록일 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15074091

Alerts

출처 has constant value ""Constant
기준일 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
면적(제곱미터) is highly overall correlated with 열람석(석)High correlation
열람석(석) is highly overall correlated with 면적(제곱미터)High correlation
도서관명 has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:03:42.150232
Analysis finished2023-12-11 01:03:44.896555
Duration2.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-11T10:03:45.043882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.6571429
Min length4

Characters and Unicode

Total characters676
Distinct characters160
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

Unique70 ?
Unique (%)100.0%

Sample

1st row고맙습니다물구나무작은도서관
2nd row순지작은도서관
3rd row원동작은도서관
4th row황전새마을작은도서관
5th row대동아파트작은도서관
ValueCountFrequency (%)
작은도서관 2
 
2.7%
고맙습니다물구나무작은도서관 1
 
1.4%
대방작은도서관 1
 
1.4%
반도4차작은도서관 1
 
1.4%
우방아이유쉘작은도서관 1
 
1.4%
동글이작은도서관 1
 
1.4%
동일숲속작은도서관 1
 
1.4%
이편한마을작은도서관 1
 
1.4%
아이비북스작은도서관 1
 
1.4%
행복작은도서관 1
 
1.4%
Other values (63) 63
85.1%
2023-12-11T10:03:45.376477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 72
 
10.7%
은 70
 
10.4%
관 70
 
10.4%
서 69
 
10.2%
작 69
 
10.2%
동 14
 
2.1%
마 11
 
1.6%
지 10
 
1.5%
이 10
 
1.5%
원 9
 
1.3%
Other values (150) 272
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 664
98.2%
Decimal Number 6
 
0.9%
Space Separator 4
 
0.6%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 72
 
10.8%
은 70
 
10.5%
관 70
 
10.5%
서 69
 
10.4%
작 69
 
10.4%
동 14
 
2.1%
마 11
 
1.7%
지 10
 
1.5%
이 10
 
1.5%
원 9
 
1.4%
Other values (143) 260
39.2%
Decimal Number
ValueCountFrequency (%)
4 2
33.3%
5 2
33.3%
2 1
16.7%
7 1
16.7%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 664
98.2%
Common 11
 
1.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 72
 
10.8%
은 70
 
10.5%
관 70
 
10.5%
서 69
 
10.4%
작 69
 
10.4%
동 14
 
2.1%
마 11
 
1.7%
지 10
 
1.5%
이 10
 
1.5%
원 9
 
1.4%
Other values (143) 260
39.2%
Common
ValueCountFrequency (%)
4
36.4%
4 2
18.2%
5 2
18.2%
2 1
 
9.1%
7 1
 
9.1%
- 1
 
9.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 664
98.2%
ASCII 12
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 72
 
10.8%
은 70
 
10.5%
관 70
 
10.5%
서 69
 
10.4%
작 69
 
10.4%
동 14
 
2.1%
마 11
 
1.7%
지 10
 
1.5%
이 10
 
1.5%
원 9
 
1.4%
Other values (143) 260
39.2%
ASCII
ValueCountFrequency (%)
4
33.3%
4 2
16.7%
5 2
16.7%
2 1
 
8.3%
7 1
 
8.3%
- 1
 
8.3%
e 1
 
8.3%

소재지
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-11T10:03:45.570578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length31.228571
Min length19

Characters and Unicode

Total characters2186
Distinct characters190
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

Unique70 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 서창로 194(서창동행정복지센터 2층)
2nd row경상남도 양산시 하북면 신평중앙길 24(통도아트센터2층)
3rd row경상남도 양산시 원동면 원동로 1598(원동문화체육센터2층)
4th row경상남도 양산시 물금읍 오봉로 23(황전아파트)
5th row경상남도 양산시 양주로 154(중부동,대동아파트)
ValueCountFrequency (%)
경상남도 71
20.1%
양산시 71
20.1%
물금읍 22
 
6.2%
동면 10
 
2.8%
양주로 8
 
2.3%
2층 5
 
1.4%
신주로 5
 
1.4%
지하1층 4
 
1.1%
커뮤니티시설b1 4
 
1.1%
범어로 4
 
1.1%
Other values (135) 150
42.4%
2023-12-11T10:03:45.907632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
 
13.0%
산 94
 
4.3%
양 90
 
4.1%
시 89
 
4.1%
남 83
 
3.8%
상 83
 
3.8%
도 82
 
3.8%
경 72
 
3.3%
1 69
 
3.2%
( 66
 
3.0%
Other values (180) 1174
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1500
68.6%
Space Separator 284
 
13.0%
Decimal Number 231
 
10.6%
Open Punctuation 66
 
3.0%
Close Punctuation 66
 
3.0%
Other Punctuation 24
 
1.1%
Uppercase Letter 8
 
0.4%
Lowercase Letter 4
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 94
 
6.3%
양 90
 
6.0%
시 89
 
5.9%
남 83
 
5.5%
상 83
 
5.5%
도 82
 
5.5%
경 72
 
4.8%
동 52
 
3.5%
로 51
 
3.4%
금 33
 
2.2%
Other values (161) 771
51.4%
Decimal Number
ValueCountFrequency (%)
1 69
29.9%
2 29
12.6%
3 25
 
10.8%
5 22
 
9.5%
6 21
 
9.1%
7 16
 
6.9%
4 16
 
6.9%
8 13
 
5.6%
9 12
 
5.2%
0 8
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 6
75.0%
L 1
 
12.5%
H 1
 
12.5%
Space Separator
ValueCountFrequency (%)
284
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1500
68.6%
Common 674
30.8%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 94
 
6.3%
양 90
 
6.0%
시 89
 
5.9%
남 83
 
5.5%
상 83
 
5.5%
도 82
 
5.5%
경 72
 
4.8%
동 52
 
3.5%
로 51
 
3.4%
금 33
 
2.2%
Other values (161) 771
51.4%
Common
ValueCountFrequency (%)
284
42.1%
1 69
 
10.2%
( 66
 
9.8%
) 66
 
9.8%
2 29
 
4.3%
3 25
 
3.7%
, 24
 
3.6%
5 22
 
3.3%
6 21
 
3.1%
7 16
 
2.4%
Other values (5) 52
 
7.7%
Latin
ValueCountFrequency (%)
B 6
50.0%
e 4
33.3%
L 1
 
8.3%
H 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1500
68.6%
ASCII 686
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
41.4%
1 69
 
10.1%
( 66
 
9.6%
) 66
 
9.6%
2 29
 
4.2%
3 25
 
3.6%
, 24
 
3.5%
5 22
 
3.2%
6 21
 
3.1%
7 16
 
2.3%
Other values (9) 64
 
9.3%
Hangul
ValueCountFrequency (%)
산 94
 
6.3%
양 90
 
6.0%
시 89
 
5.9%
남 83
 
5.5%
상 83
 
5.5%
도 82
 
5.5%
경 72
 
4.8%
동 52
 
3.5%
로 51
 
3.4%
금 33
 
2.2%
Other values (161) 771
51.4%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.356245
Minimum35.308597
Maximum35.68664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T10:03:46.067657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.308597
5-th percentile35.31323
Q135.32429
median35.333701
Q335.384194
95-th percentile35.416845
Maximum35.68664
Range0.378043
Interquartile range (IQR)0.05990425

Descriptive statistics

Standard deviation0.055552672
Coefficient of variation (CV)0.0015712266
Kurtosis17.501439
Mean35.356245
Median Absolute Deviation (MAD)0.0184425
Skewness3.4015298
Sum2474.9372
Variance0.0030860994
MonotonicityNot monotonic
2023-12-11T10:03:46.229792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.413711 1
 
1.4%
35.319926 1
 
1.4%
35.308597 1
 
1.4%
35.409587 1
 
1.4%
35.316779 1
 
1.4%
35.351833 1
 
1.4%
35.378831 1
 
1.4%
35.324211 1
 
1.4%
35.329704 1
 
1.4%
35.312945 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
35.308597 1
1.4%
35.310149 1
1.4%
35.312825 1
1.4%
35.312945 1
1.4%
35.313579 1
1.4%
35.314301 1
1.4%
35.314489 1
1.4%
35.314518 1
1.4%
35.314948 1
1.4%
35.315608 1
1.4%
ValueCountFrequency (%)
35.68664 1
1.4%
35.492411 1
1.4%
35.41729 1
1.4%
35.417223 1
1.4%
35.416382 1
1.4%
35.41579834 1
1.4%
35.413711 1
1.4%
35.411496 1
1.4%
35.409587 1
1.4%
35.407686 1
1.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05522
Minimum128.92062
Maximum129.17849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T10:03:46.382701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.92062
5-th percentile128.99269
Q1129.01351
median129.02731
Q3129.12749
95-th percentile129.17253
Maximum129.17849
Range0.257867
Interquartile range (IQR)0.1139809

Descriptive statistics

Standard deviation0.06443589
Coefficient of variation (CV)0.00049928931
Kurtosis-0.65293883
Mean129.05522
Median Absolute Deviation (MAD)0.0203025
Skewness0.80845268
Sum9033.8652
Variance0.0041519839
MonotonicityNot monotonic
2023-12-11T10:03:46.523616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.177111 1
 
1.4%
129.028424 1
 
1.4%
128.988928 1
 
1.4%
129.159057 1
 
1.4%
129.005419 1
 
1.4%
129.051144 1
 
1.4%
129.147316 1
 
1.4%
128.993284 1
 
1.4%
129.015259 1
 
1.4%
129.005906 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
128.920623 1
1.4%
128.988928 1
1.4%
128.989764 1
1.4%
128.992205 1
1.4%
128.993284 1
1.4%
128.994206 1
1.4%
128.999141 1
1.4%
129.000158 1
1.4%
129.002838 1
1.4%
129.004382 1
1.4%
ValueCountFrequency (%)
129.17849 1
1.4%
129.177111 1
1.4%
129.175284 1
1.4%
129.172759 1
1.4%
129.172246 1
1.4%
129.1696649 1
1.4%
129.163849 1
1.4%
129.159057 1
1.4%
129.157867 1
1.4%
129.151026 1
1.4%

도서(권)
Real number (ℝ)

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7953.7571
Minimum1000
Maximum16692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T10:03:46.647442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1075.95
Q14928
median7936.5
Q311061.5
95-th percentile14736.15
Maximum16692
Range15692
Interquartile range (IQR)6133.5

Descriptive statistics

Standard deviation4398.3118
Coefficient of variation (CV)0.55298543
Kurtosis-0.84308391
Mean7953.7571
Median Absolute Deviation (MAD)3100
Skewness0.060383386
Sum556763
Variance19345147
MonotonicityNot monotonic
2023-12-11T10:03:47.101044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7897 2
 
2.9%
2226 1
 
1.4%
1417 1
 
1.4%
7976 1
 
1.4%
13714 1
 
1.4%
7585 1
 
1.4%
8007 1
 
1.4%
5510 1
 
1.4%
8836 1
 
1.4%
14009 1
 
1.4%
Other values (59) 59
84.3%
ValueCountFrequency (%)
1000 1
1.4%
1003 1
1.4%
1018 1
1.4%
1053 1
1.4%
1104 1
1.4%
1202 1
1.4%
1417 1
1.4%
1461 1
1.4%
1581 1
1.4%
2000 1
1.4%
ValueCountFrequency (%)
16692 1
1.4%
16571 1
1.4%
16218 1
1.4%
14769 1
1.4%
14696 1
1.4%
14418 1
1.4%
14369 1
1.4%
14009 1
1.4%
13714 1
1.4%
13541 1
1.4%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.12
Minimum36
Maximum319.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T10:03:47.246482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile42.3115
Q166.06
median100.44
Q3151.5125
95-th percentile251.125
Maximum319.9
Range283.9
Interquartile range (IQR)85.4525

Descriptive statistics

Standard deviation66.861884
Coefficient of variation (CV)0.58080163
Kurtosis1.4642071
Mean115.12
Median Absolute Deviation (MAD)42.33
Skewness1.2357277
Sum8058.4
Variance4470.5115
MonotonicityNot monotonic
2023-12-11T10:03:47.419297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202.5 2
 
2.9%
72.0 2
 
2.9%
159.9 2
 
2.9%
42.9 2
 
2.9%
50.33 1
 
1.4%
169.8 1
 
1.4%
126.85 1
 
1.4%
71.2 1
 
1.4%
99.88 1
 
1.4%
287.8 1
 
1.4%
Other values (56) 56
80.0%
ValueCountFrequency (%)
36.0 1
1.4%
37.0 1
1.4%
40.3 1
1.4%
41.83 1
1.4%
42.9 2
2.9%
45.7 1
1.4%
46.0 1
1.4%
48.9 1
1.4%
49.04 1
1.4%
50.33 1
1.4%
ValueCountFrequency (%)
319.9 1
1.4%
313.08 1
1.4%
288.4 1
1.4%
287.8 1
1.4%
206.3 1
1.4%
202.5 2
2.9%
191.0 1
1.4%
184.3 1
1.4%
180.5 1
1.4%
179.0 1
1.4%

열람석(석)
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.014286
Minimum7
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-11T10:03:47.568439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile17.45
Q131.25
median44.5
Q349.75
95-th percentile69.55
Maximum92
Range85
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation16.095271
Coefficient of variation (CV)0.37418433
Kurtosis1.2486167
Mean43.014286
Median Absolute Deviation (MAD)7.5
Skewness0.43487108
Sum3011
Variance259.05776
MonotonicityNot monotonic
2023-12-11T10:03:47.705549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
42 8
 
11.4%
48 6
 
8.6%
45 5
 
7.1%
30 5
 
7.1%
53 4
 
5.7%
49 3
 
4.3%
44 3
 
4.3%
52 3
 
4.3%
20 2
 
2.9%
46 2
 
2.9%
Other values (25) 29
41.4%
ValueCountFrequency (%)
7 1
1.4%
12 1
1.4%
15 1
1.4%
17 1
1.4%
18 1
1.4%
20 2
2.9%
21 1
1.4%
24 2
2.9%
25 1
1.4%
28 1
1.4%
ValueCountFrequency (%)
92 1
 
1.4%
85 1
 
1.4%
84 1
 
1.4%
70 1
 
1.4%
69 1
 
1.4%
65 1
 
1.4%
60 1
 
1.4%
58 1
 
1.4%
55 1
 
1.4%
53 4
5.7%

등록일
Date

Distinct67
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size692.0 B
Minimum2003-11-25 00:00:00
Maximum2021-05-18 00:00:00
2023-12-11T10:03:47.822497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:47.941427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
기본현황
70 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기본현황 70
100.0%

Length

2023-12-11T10:03:48.069443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:48.181733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 70
100.0%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2021-07-30
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-30
2nd row2021-07-30
3rd row2021-07-30
4th row2021-07-30
5th row2021-07-30

Common Values

ValueCountFrequency (%)
2021-07-30 70
100.0%

Length

2023-12-11T10:03:48.277359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:48.375632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-30 70
100.0%

Interactions

2023-12-11T10:03:44.287273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:42.597888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.095948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.529267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.899887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:44.377098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:42.709437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.207917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.614942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.993701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:44.451506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:42.788675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.295909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.685938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:44.069035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:44.528848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:42.892962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.383078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.758955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:44.154799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:44.610772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.013557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.457500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:43.829480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:44.226320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:03:48.440274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명소재지위도경도도서(권)면적(제곱미터)열람석(석)등록일
도서관명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.8030.3490.3370.0000.957
경도1.0001.0000.8031.0000.0700.2740.1420.966
도서(권)1.0001.0000.3490.0701.0000.2590.4510.795
면적(제곱미터)1.0001.0000.3370.2740.2591.0000.6970.914
열람석(석)1.0001.0000.0000.1420.4510.6971.0000.983
등록일1.0001.0000.9570.9660.7950.9140.9831.000
2023-12-11T10:03:48.552333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도도서(권)면적(제곱미터)열람석(석)
위도1.0000.8320.237-0.241-0.373
경도0.8321.0000.125-0.265-0.318
도서(권)0.2370.1251.0000.1810.293
면적(제곱미터)-0.241-0.2650.1811.0000.790
열람석(석)-0.373-0.3180.2930.7901.000

Missing values

2023-12-11T10:03:44.702444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:03:44.839437image/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

도서관명소재지위도경도도서(권)면적(제곱미터)열람석(석)등록일출처기준일
0고맙습니다물구나무작은도서관경상남도 양산시 서창로 194(서창동행정복지센터 2층)35.413711129.17711114009202.5452010-11-22기본현황2021-07-30
1순지작은도서관경상남도 양산시 하북면 신평중앙길 24(통도아트센터2층)35.492411129.0849549061191.0482016-05-19기본현황2021-07-30
2원동작은도서관경상남도 양산시 원동면 원동로 1598(원동문화체육센터2층)35.37032128.920623295084.0282019-10-07기본현황2021-07-30
3황전새마을작은도서관경상남도 양산시 물금읍 오봉로 23(황전아파트)35.326205128.99914110878148.25452003-11-25기본현황2021-07-30
4대동아파트작은도서관경상남도 양산시 양주로 154(중부동,대동아파트)35.338907129.03366614369109.0422004-07-02기본현황2021-07-30
5신기주공작은도서관경상남도 양산시 신기서길 23(신기동,신기주공)35.353816129.040071277060.0472004-07-02기본현황2021-07-30
6극동작은도서관경상남도 양산시 동면 계석로 10(극동아파트)35.328302129.0356921469646.0422004-07-02기본현황2021-07-30
7청어람작은도서관경상남도 양산시 양주로 94(남부동,청어람아파트)35.332321129.03307516218130.0522006-04-04기본현황2021-07-30
8봉우별떨기작은도서관경상남도 양산시 신명로 87(평산동,봉우아파트)35.68664129.14242410317122.0452006-10-30기본현황2021-07-30
9대동이미지작은도서관경상남도 양산시 대운로 338(삼호동,대동이미지타운2단지)35.41729129.178497897101.0462008-03-07기본현황2021-07-30
도서관명소재지위도경도도서(권)면적(제곱미터)열람석(석)등록일출처기준일
60대방연리지작은도서관경상남도 양산시 물금읍 야리로76(대방노블랜드연리지2차 커뮤니티시설B1)35.312825129.0043827033127.0522018-09-12기본현황2021-07-30
61이지더원5차작은도서관경상남도 양산시 물금읍 물금로 57(이지더원5차 커뮤니티센터B1)35.310149128.9897642803165.95482019-01-31기본현황2021-07-30
62동원4차작은도서관경상남도 양산시 경상남도 양산시 백호로 155(동원로얄비스타4차)35.313579129.009326120258.24182019-01-31기본현황2021-07-30
63나눔작은도서관경상남도 양산시 평산로 116-1(한일프라자 201호)35.384376129.14214158137.0302019-03-13기본현황2021-07-30
64동화마을작은도서관경상남도 양산시 물금읍 야리로 50(대방노블랜드8차 커뮤니티센터B1)35.314948129.0028386303142.9582019-05-14기본현황2021-07-30
65남양산금호어울림작은도서관경상남도 양산시 동면 금오15길 10(남양산금호어울림아파트 어린이집 옆)35.318916129.024714100041.83212019-07-26기본현황2021-07-30
66아이비파크5작은도서관경상남도 양산시 동면 금오16길 122(반도유보라아이비파크5차 커뮤니티시설2층)35.321932129.0241681461159.9532019-10-30기본현황2021-07-30
67마음담아작은도서관경상남도 양산시 삼호11길5, 상가동 304호35.415798129.169665110436.0152021-01-19기본현황2021-07-30
68고향의봄작은도서관경상남도 양산시 고향의봄로84 1층35.35762129.046092200083.772021-04-14기본현황2021-07-30
69동양산우성작은도서관경상남도 양산시 덕계회야길16 동양산 우성스마트시티뷰 아파트35.371992129.146144100384.9122021-05-18기본현황2021-07-30