Overview

Dataset statistics

Number of variables10
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory87.0 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(㎡) is highly overall correlated with 열람석(석)High correlation
열람석(석) is highly overall correlated with 면적(㎡)High correlation
도서관명 has unique valuesUnique
소재지 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:03:51.072136
Analysis finished2023-12-11 01:03:54.225452
Duration3.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-11T10:03:54.414686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.6716418
Min length4

Characters and Unicode

Total characters648
Distinct characters156
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

Unique67 ?
Unique (%)100.0%

Sample

1st row고맙습니다물구나무작은도서관
2nd row순지작은도서관
3rd row원동작은도서관
4th row황전새마을작은도서관
5th row대동아파트작은도서관
ValueCountFrequency (%)
작은도서관 2
 
2.8%
고맙습니다물구나무작은도서관 1
 
1.4%
글고은작은도서관 1
 
1.4%
우방아이유쉘작은도서관 1
 
1.4%
동글이작은도서관 1
 
1.4%
동일숲속작은도서관 1
 
1.4%
이편한마을작은도서관 1
 
1.4%
꿈을찾는아이들작은도서관 1
 
1.4%
대방작은도서관 1
 
1.4%
행복작은도서관 1
 
1.4%
Other values (60) 60
84.5%
2023-12-11T10:03:54.836380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 69
 
10.6%
은 67
 
10.3%
관 67
 
10.3%
서 66
 
10.2%
작 66
 
10.2%
동 13
 
2.0%
지 10
 
1.5%
이 10
 
1.5%
마 10
 
1.5%
원 9
 
1.4%
Other values (146) 261
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
98.1%
Decimal Number 6
 
0.9%
Space Separator 4
 
0.6%
Dash Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 69
 
10.8%
은 67
 
10.5%
관 67
 
10.5%
서 66
 
10.4%
작 66
 
10.4%
동 13
 
2.0%
지 10
 
1.6%
이 10
 
1.6%
마 10
 
1.6%
원 9
 
1.4%
Other values (139) 249
39.2%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
4 2
33.3%
7 1
16.7%
2 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 636
98.1%
Common 11
 
1.7%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 69
 
10.8%
은 67
 
10.5%
관 67
 
10.5%
서 66
 
10.4%
작 66
 
10.4%
동 13
 
2.0%
지 10
 
1.6%
이 10
 
1.6%
마 10
 
1.6%
원 9
 
1.4%
Other values (139) 249
39.2%
Common
ValueCountFrequency (%)
4
36.4%
5 2
18.2%
4 2
18.2%
7 1
 
9.1%
2 1
 
9.1%
- 1
 
9.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 636
98.1%
ASCII 12
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 69
 
10.8%
은 67
 
10.5%
관 67
 
10.5%
서 66
 
10.4%
작 66
 
10.4%
동 13
 
2.0%
지 10
 
1.6%
이 10
 
1.6%
마 10
 
1.6%
원 9
 
1.4%
Other values (139) 249
39.2%
ASCII
ValueCountFrequency (%)
4
33.3%
5 2
16.7%
4 2
16.7%
7 1
 
8.3%
2 1
 
8.3%
- 1
 
8.3%
e 1
 
8.3%

소재지
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-11T10:03:55.061296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length31.477612
Min length19

Characters and Unicode

Total characters2109
Distinct characters185
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

Unique67 ?
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 68
20.1%
양산시 68
20.1%
물금읍 22
 
6.5%
동면 10
 
2.9%
양주로 8
 
2.4%
2층 5
 
1.5%
신주로 5
 
1.5%
커뮤니티시설b1 4
 
1.2%
범어로 4
 
1.2%
지하1층 4
 
1.2%
Other values (127) 141
41.6%
2023-12-11T10:03:55.444768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
 
12.9%
산 90
 
4.3%
양 86
 
4.1%
시 85
 
4.0%
남 80
 
3.8%
도 79
 
3.7%
상 79
 
3.7%
경 69
 
3.3%
( 66
 
3.1%
) 66
 
3.1%
Other values (175) 1137
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1447
68.6%
Space Separator 272
 
12.9%
Decimal Number 220
 
10.4%
Open Punctuation 66
 
3.1%
Close Punctuation 66
 
3.1%
Other Punctuation 23
 
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 90
 
6.2%
양 86
 
5.9%
시 85
 
5.9%
남 80
 
5.5%
도 79
 
5.5%
상 79
 
5.5%
경 69
 
4.8%
동 50
 
3.5%
로 50
 
3.5%
금 33
 
2.3%
Other values (156) 746
51.6%
Decimal Number
ValueCountFrequency (%)
1 65
29.5%
2 29
13.2%
3 24
 
10.9%
5 21
 
9.5%
6 20
 
9.1%
7 16
 
7.3%
4 14
 
6.4%
9 12
 
5.5%
8 12
 
5.5%
0 7
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
75.0%
L 1
 
12.5%
H 1
 
12.5%
Space Separator
ValueCountFrequency (%)
272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1447
68.6%
Common 650
30.8%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 90
 
6.2%
양 86
 
5.9%
시 85
 
5.9%
남 80
 
5.5%
도 79
 
5.5%
상 79
 
5.5%
경 69
 
4.8%
동 50
 
3.5%
로 50
 
3.5%
금 33
 
2.3%
Other values (156) 746
51.6%
Common
ValueCountFrequency (%)
272
41.8%
( 66
 
10.2%
) 66
 
10.2%
1 65
 
10.0%
2 29
 
4.5%
3 24
 
3.7%
, 23
 
3.5%
5 21
 
3.2%
6 20
 
3.1%
7 16
 
2.5%
Other values (5) 48
 
7.4%
Latin
ValueCountFrequency (%)
B 6
50.0%
e 4
33.3%
L 1
 
8.3%
H 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1447
68.6%
ASCII 662
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
41.1%
( 66
 
10.0%
) 66
 
10.0%
1 65
 
9.8%
2 29
 
4.4%
3 24
 
3.6%
, 23
 
3.5%
5 21
 
3.2%
6 20
 
3.0%
7 16
 
2.4%
Other values (9) 60
 
9.1%
Hangul
ValueCountFrequency (%)
산 90
 
6.2%
양 86
 
5.9%
시 85
 
5.9%
남 80
 
5.5%
도 79
 
5.5%
상 79
 
5.5%
경 69
 
4.8%
동 50
 
3.5%
로 50
 
3.5%
금 33
 
2.3%
Other values (156) 746
51.6%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.355101
Minimum35.308597
Maximum35.68664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-11T10:03:55.578757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.308597
5-th percentile35.313135
Q135.323071
median35.332778
Q335.384012
95-th percentile35.416971
Maximum35.68664
Range0.378043
Interquartile range (IQR)0.060941

Descriptive statistics

Standard deviation0.056280772
Coefficient of variation (CV)0.0015918714
Kurtosis17.695429
Mean35.355101
Median Absolute Deviation (MAD)0.01717
Skewness3.4684572
Sum2368.7917
Variance0.0031675253
MonotonicityNot monotonic
2023-12-11T10:03:55.973252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.413711 1
 
1.5%
35.335767 1
 
1.5%
35.316779 1
 
1.5%
35.351833 1
 
1.5%
35.378831 1
 
1.5%
35.324211 1
 
1.5%
35.319926 1
 
1.5%
35.329704 1
 
1.5%
35.314518 1
 
1.5%
35.492411 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
35.308597 1
1.5%
35.310149 1
1.5%
35.312825 1
1.5%
35.312945 1
1.5%
35.313579 1
1.5%
35.314301 1
1.5%
35.314489 1
1.5%
35.314518 1
1.5%
35.314948 1
1.5%
35.315608 1
1.5%
ValueCountFrequency (%)
35.68664 1
1.5%
35.492411 1
1.5%
35.41729 1
1.5%
35.417223 1
1.5%
35.416382 1
1.5%
35.413711 1
1.5%
35.411496 1
1.5%
35.409587 1
1.5%
35.407686 1
1.5%
35.40748 1
1.5%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05229
Minimum128.92062
Maximum129.17849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-11T10:03:56.125114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.92062
5-th percentile128.99253
Q1129.01323
median129.02638
Q3129.07331
95-th percentile129.17261
Maximum129.17849
Range0.257867
Interquartile range (IQR)0.0600791

Descriptive statistics

Standard deviation0.063300946
Coefficient of variation (CV)0.00049050619
Kurtosis-0.42985022
Mean129.05229
Median Absolute Deviation (MAD)0.018664
Skewness0.89730784
Sum8646.5033
Variance0.0040070098
MonotonicityNot monotonic
2023-12-11T10:03:56.246380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.177111 1
 
1.5%
129.01892 1
 
1.5%
129.005419 1
 
1.5%
129.051144 1
 
1.5%
129.147316 1
 
1.5%
128.993284 1
 
1.5%
129.028424 1
 
1.5%
129.015259 1
 
1.5%
129.007719 1
 
1.5%
129.084954 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
128.920623 1
1.5%
128.988928 1
1.5%
128.989764 1
1.5%
128.992205 1
1.5%
128.993284 1
1.5%
128.994206 1
1.5%
128.999141 1
1.5%
129.000158 1
1.5%
129.002838 1
1.5%
129.004382 1
1.5%
ValueCountFrequency (%)
129.17849 1
1.5%
129.177111 1
1.5%
129.175284 1
1.5%
129.172759 1
1.5%
129.172246 1
1.5%
129.163849 1
1.5%
129.159057 1
1.5%
129.157867 1
1.5%
129.151026 1
1.5%
129.149115 1
1.5%

도서(권)
Real number (ℝ)

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8248.597
Minimum1000
Maximum16692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-11T10:03:56.356481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1266.5
Q15183.5
median8007
Q311255
95-th percentile14747.1
Maximum16692
Range15692
Interquartile range (IQR)6071.5

Descriptive statistics

Standard deviation4261.0131
Coefficient of variation (CV)0.51657428
Kurtosis-0.74241979
Mean8248.597
Median Absolute Deviation (MAD)3053
Skewness0.030477242
Sum552656
Variance18156232
MonotonicityNot monotonic
2023-12-11T10:03:56.471820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7897 2
 
3.0%
14009 1
 
1.5%
7585 1
 
1.5%
8007 1
 
1.5%
5510 1
 
1.5%
8836 1
 
1.5%
8163 1
 
1.5%
7698 1
 
1.5%
13541 1
 
1.5%
7976 1
 
1.5%
Other values (56) 56
83.6%
ValueCountFrequency (%)
1000 1
1.5%
1018 1
1.5%
1053 1
1.5%
1202 1
1.5%
1417 1
1.5%
1461 1
1.5%
1581 1
1.5%
2226 1
1.5%
2500 1
1.5%
2803 1
1.5%
ValueCountFrequency (%)
16692 1
1.5%
16571 1
1.5%
16218 1
1.5%
14769 1
1.5%
14696 1
1.5%
14418 1
1.5%
14369 1
1.5%
14009 1
1.5%
13714 1
1.5%
13541 1
1.5%

면적(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.2209
Minimum37
Maximum319.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-11T10:03:56.602720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile42.9
Q166.12
median108.15
Q3155.025
95-th percentile263.35
Maximum319.9
Range282.9
Interquartile range (IQR)88.905

Descriptive statistics

Standard deviation67.421013
Coefficient of variation (CV)0.57516207
Kurtosis1.3304379
Mean117.2209
Median Absolute Deviation (MAD)44.45
Skewness1.1935197
Sum7853.8
Variance4545.5929
MonotonicityNot monotonic
2023-12-11T10:03:56.705811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202.5 2
 
3.0%
42.9 2
 
3.0%
159.9 2
 
3.0%
72.0 2
 
3.0%
50.33 1
 
1.5%
66.24 1
 
1.5%
184.3 1
 
1.5%
51.48 1
 
1.5%
49.04 1
 
1.5%
145.2 1
 
1.5%
Other values (53) 53
79.1%
ValueCountFrequency (%)
37.0 1
1.5%
40.3 1
1.5%
41.83 1
1.5%
42.9 2
3.0%
45.7 1
1.5%
46.0 1
1.5%
48.9 1
1.5%
49.04 1
1.5%
50.33 1
1.5%
51.48 1
1.5%
ValueCountFrequency (%)
319.9 1
1.5%
313.08 1
1.5%
288.4 1
1.5%
287.8 1
1.5%
206.3 1
1.5%
202.5 2
3.0%
191.0 1
1.5%
184.3 1
1.5%
180.5 1
1.5%
179.0 1
1.5%

열람석(석)
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.432836
Minimum17
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2023-12-11T10:03:56.804319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile20.3
Q135
median45
Q350
95-th percentile69.7
Maximum92
Range75
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.922247
Coefficient of variation (CV)0.33583827
Kurtosis1.6490993
Mean44.432836
Median Absolute Deviation (MAD)7
Skewness0.7394993
Sum2977
Variance222.67345
MonotonicityNot monotonic
2023-12-11T10:03:56.909050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
42 8
 
11.9%
48 6
 
9.0%
45 5
 
7.5%
30 5
 
7.5%
53 4
 
6.0%
44 3
 
4.5%
49 3
 
4.5%
52 3
 
4.5%
50 2
 
3.0%
35 2
 
3.0%
Other values (22) 26
38.8%
ValueCountFrequency (%)
17 1
 
1.5%
18 1
 
1.5%
20 2
 
3.0%
21 1
 
1.5%
24 2
 
3.0%
25 1
 
1.5%
28 1
 
1.5%
30 5
7.5%
31 1
 
1.5%
32 1
 
1.5%
ValueCountFrequency (%)
92 1
 
1.5%
85 1
 
1.5%
84 1
 
1.5%
70 1
 
1.5%
69 1
 
1.5%
65 1
 
1.5%
60 1
 
1.5%
58 1
 
1.5%
55 1
 
1.5%
53 4
6.0%

등록일
Date

Distinct64
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2003-11-25 00:00:00
Maximum2019-10-30 00:00:00
2023-12-11T10:03:57.056524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:57.174169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
기본현황
67 

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 67
100.0%

Length

2023-12-11T10:03:57.281767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:57.359326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본현황 67
100.0%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2020-12-01
67 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-01
2nd row2020-12-01
3rd row2020-12-01
4th row2020-12-01
5th row2020-12-01

Common Values

ValueCountFrequency (%)
2020-12-01 67
100.0%

Length

2023-12-11T10:03:57.434236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:03:57.505864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-01 67
100.0%

Interactions

2023-12-11T10:03:53.419642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:51.460319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:51.939546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.370418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.912256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.562274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:51.564277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.028011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.470601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.039836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.682796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:51.648435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.105242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.556841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.129227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.786211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:51.755048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.200752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.674505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.230087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.864982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:51.845751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.279248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:52.767050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:03:53.309234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:03:57.557582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명소재지위도경도도서(권)면적(㎡)열람석(석)등록일
도서관명1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.8000.4140.2580.0000.946
경도1.0001.0000.8001.0000.1060.2540.0000.978
도서(권)1.0001.0000.4140.1061.0000.2300.0000.799
면적(㎡)1.0001.0000.2580.2540.2301.0000.7760.931
열람석(석)1.0001.0000.0000.0000.0000.7761.0000.991
등록일1.0001.0000.9460.9780.7990.9310.9911.000
2023-12-11T10:03:57.656737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도도서(권)면적(㎡)열람석(석)
위도1.0000.8170.327-0.215-0.337
경도0.8171.0000.214-0.248-0.268
도서(권)0.3270.2141.0000.1420.204
면적(㎡)-0.215-0.2480.1421.0000.808
열람석(석)-0.337-0.2680.2040.8081.000

Missing values

2023-12-11T10:03:54.024285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:03:54.164212image/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(㎡)열람석(석)등록일출처기준일
0고맙습니다물구나무작은도서관경상남도 양산시 서창로 194(서창동행정복지센터 2층)35.413711129.17711114009202.5452010-11-22기본현황2020-12-01
1순지작은도서관경상남도 양산시 하북면 신평중앙길 24(통도아트센터2층)35.492411129.0849549061191.0482016-05-19기본현황2020-12-01
2원동작은도서관경상남도 양산시 원동면 원동로 1598(원동문화체육센터2층)35.37032128.920623295084.0282019-10-07기본현황2020-12-01
3황전새마을작은도서관경상남도 양산시 물금읍 오봉로 23(황전아파트)35.326205128.99914110878148.25452003-11-25기본현황2020-12-01
4대동아파트작은도서관경상남도 양산시 양주로 154(중부동,대동아파트)35.338907129.03366614369109.0422004-07-02기본현황2020-12-01
5신기주공작은도서관경상남도 양산시 신기서길 23(신기동,신기주공)35.353816129.040071277060.0472004-07-02기본현황2020-12-01
6극동작은도서관경상남도 양산시 동면 계석로 10(극동아파트)35.328302129.0356921469646.0422004-07-02기본현황2020-12-01
7청어람작은도서관경상남도 양산시 양주로 94(남부동,청어람아파트)35.332321129.03307516218130.0522006-04-04기본현황2020-12-01
8봉우별떨기작은도서관경상남도 양산시 신명로 87(평산동,봉우아파트)35.68664129.14242410317122.0452006-10-30기본현황2020-12-01
9대동이미지작은도서관경상남도 양산시 대운로 338(삼호동,대동이미지타운2단지)35.41729129.178497897101.0462008-03-07기본현황2020-12-01
도서관명소재지위도경도도서(권)면적(㎡)열람석(석)등록일출처기준일
57가온작은도서관경상남도 양산시 물금읍 새실로115 (대방노블랜드5차 커뮤니티시설B1)35.314301129.0001581053176.46532018-06-14기본현황2020-12-01
58대방노블랜드7차메가시티작은도서관경상남도 양산시 물금읍 새실로11(대방노블랜드7차 커뮤니티시설B1)35.316658128.9942068179159.9652018-08-08기본현황2020-12-01
59이지더원리버포레작은도서관경상남도 양산시 동면 금오16길(이지더원3차 커뮤니티시설B1)35.324527129.0277125499143.86492018-08-20기본현황2020-12-01
60대방연리지작은도서관경상남도 양산시 물금읍 야리로76(대방노블랜드연리지2차 커뮤니티시설B1)35.312825129.0043827033127.0522018-09-12기본현황2020-12-01
61이지더원5차작은도서관경상남도 양산시 물금읍 물금로 57(이지더원5차 커뮤니티센터B1)35.310149128.9897642803165.95482019-01-31기본현황2020-12-01
62동원4차작은도서관경상남도 양산시 경상남도 양산시 백호로 155(동원로얄비스타4차)35.313579129.009326120258.24182019-01-31기본현황2020-12-01
63나눔작은도서관경상남도 양산시 평산로 116-1(한일프라자 201호)35.384376129.14214158137.0302019-03-13기본현황2020-12-01
64동화마을작은도서관경상남도 양산시 물금읍 야리로 50(대방노블랜드8차 커뮤니티센터B1)35.314948129.0028386303142.9582019-05-14기본현황2020-12-01
65남양산금호어울림작은도서관경상남도 양산시 동면 금오15길 10(남양산금호어울림아파트 어린이집 옆)35.318916129.024714100041.83212019-07-26기본현황2020-12-01
66아이비파크5작은도서관경상남도 양산시 동면 금오16길 122(반도유보라아이비파크5차 커뮤니티시설2층)35.321932129.0241681461159.9532019-10-30기본현황2020-12-01