Overview

Dataset statistics

Number of variables11
Number of observations34
Missing cells14
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory96.9 B

Variable types

Numeric5
Text3
Categorical1
DateTime2

Dataset

Description충청남도 보령시에 위치한 사립 작은 도서관 현황 데이터로 도서관명, 도로명 주소, 연락처, 장서현황, 열람석, 설립일자 등을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=41&beforeMenuCd=DOM_000000201001001000&publicdatapk=15114791

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 10 (29.4%) missing valuesMissing
장서현황 has 2 (5.9%) missing valuesMissing
열람석 has 1 (2.9%) missing valuesMissing
설립일자 has 1 (2.9%) missing valuesMissing
번호 has unique valuesUnique
도서관명 has unique valuesUnique
도로명 주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:28:16.217924
Analysis finished2024-01-09 20:28:19.491993
Duration3.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T05:28:19.561619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2024-01-10T05:28:19.701800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

도서관명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-10T05:28:19.918969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.9411765
Min length5

Characters and Unicode

Total characters304
Distinct characters98
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

Unique34 ?
Unique (%)100.0%

Sample

1st row414 SDL 작은도서관
2nd rowe편한세상 작은도서관
3rd row광명샤인빌작은도서관
4th row꿈드림작은도서관
5th row꿈행복사랑작은도서관
ValueCountFrequency (%)
작은도서관 5
 
12.2%
414 1
 
2.4%
옥현도서관 1
 
2.4%
한성필하우스 1
 
2.4%
청라산책작은도서관 1
 
2.4%
천변길작은도서관 1
 
2.4%
창출작은도서관 1
 
2.4%
웅천곰내고인돌작은도서관 1
 
2.4%
웃음소리작은도서관 1
 
2.4%
e편한세상 1
 
2.4%
Other values (27) 27
65.9%
2024-01-10T05:28:20.224278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 35
 
11.5%
도 34
 
11.2%
관 34
 
11.2%
작 32
 
10.5%
은 32
 
10.5%
7
 
2.3%
천 5
 
1.6%
꿈 4
 
1.3%
대 3
 
1.0%
령 3
 
1.0%
Other values (88) 115
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
95.4%
Space Separator 7
 
2.3%
Decimal Number 3
 
1.0%
Uppercase Letter 3
 
1.0%
Lowercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 35
 
12.1%
도 34
 
11.7%
관 34
 
11.7%
작 32
 
11.0%
은 32
 
11.0%
천 5
 
1.7%
꿈 4
 
1.4%
대 3
 
1.0%
령 3
 
1.0%
보 3
 
1.0%
Other values (81) 105
36.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
L 1
33.3%
S 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
95.4%
Common 10
 
3.3%
Latin 4
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 35
 
12.1%
도 34
 
11.7%
관 34
 
11.7%
작 32
 
11.0%
은 32
 
11.0%
천 5
 
1.7%
꿈 4
 
1.4%
대 3
 
1.0%
령 3
 
1.0%
보 3
 
1.0%
Other values (81) 105
36.2%
Latin
ValueCountFrequency (%)
D 1
25.0%
L 1
25.0%
S 1
25.0%
e 1
25.0%
Common
ValueCountFrequency (%)
7
70.0%
4 2
 
20.0%
1 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
95.4%
ASCII 14
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 35
 
12.1%
도 34
 
11.7%
관 34
 
11.7%
작 32
 
11.0%
은 32
 
11.0%
천 5
 
1.7%
꿈 4
 
1.4%
대 3
 
1.0%
령 3
 
1.0%
보 3
 
1.0%
Other values (81) 105
36.2%
ASCII
ValueCountFrequency (%)
7
50.0%
4 2
 
14.3%
D 1
 
7.1%
L 1
 
7.1%
S 1
 
7.1%
e 1
 
7.1%
1 1
 
7.1%

도로명 주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-10T05:28:20.484361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length36
Mean length30.676471
Min length21

Characters and Unicode

Total characters1043
Distinct characters147
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

Unique34 ?
Unique (%)100.0%

Sample

1st row충청남도 보령시 옥갓티3길 24 (대천동, 태평양마트)
2nd row충청남도 보령시 한내로터리길 170 (동대동, e편한세상 보령)
3rd row충청남도 보령시 한내로터리길 119-11 (동대동, 광명샤인빌)
4th row충청남도 보령시 주교면 신대1길 16 (신대리) 1층
5th row충청남도 보령시 청소면 김좌진로 46-20
ValueCountFrequency (%)
충청남도 34
 
15.2%
보령시 34
 
15.2%
동대동 9
 
4.0%
미산면 5
 
2.2%
한내로터리길 4
 
1.8%
1층 4
 
1.8%
웅천읍 3
 
1.3%
2층 3
 
1.3%
주교면 2
 
0.9%
김좌진로 2
 
0.9%
Other values (113) 123
55.2%
2024-01-10T05:28:20.870222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
18.1%
청 38
 
3.6%
남 37
 
3.5%
보 37
 
3.5%
령 37
 
3.5%
도 36
 
3.5%
충 35
 
3.4%
시 34
 
3.3%
( 33
 
3.2%
동 33
 
3.2%
Other values (137) 534
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 647
62.0%
Space Separator 189
 
18.1%
Decimal Number 118
 
11.3%
Open Punctuation 33
 
3.2%
Close Punctuation 33
 
3.2%
Other Punctuation 14
 
1.3%
Dash Punctuation 8
 
0.8%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 38
 
5.9%
남 37
 
5.7%
보 37
 
5.7%
령 37
 
5.7%
도 36
 
5.6%
충 35
 
5.4%
시 34
 
5.3%
동 33
 
5.1%
길 24
 
3.7%
리 20
 
3.1%
Other values (121) 316
48.8%
Decimal Number
ValueCountFrequency (%)
1 27
22.9%
2 18
15.3%
3 14
11.9%
7 11
9.3%
4 11
9.3%
0 10
 
8.5%
6 9
 
7.6%
9 8
 
6.8%
5 8
 
6.8%
8 2
 
1.7%
Space Separator
ValueCountFrequency (%)
189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 647
62.0%
Common 395
37.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 38
 
5.9%
남 37
 
5.7%
보 37
 
5.7%
령 37
 
5.7%
도 36
 
5.6%
충 35
 
5.4%
시 34
 
5.3%
동 33
 
5.1%
길 24
 
3.7%
리 20
 
3.1%
Other values (121) 316
48.8%
Common
ValueCountFrequency (%)
189
47.8%
( 33
 
8.4%
) 33
 
8.4%
1 27
 
6.8%
2 18
 
4.6%
3 14
 
3.5%
, 14
 
3.5%
7 11
 
2.8%
4 11
 
2.8%
0 10
 
2.5%
Other values (5) 35
 
8.9%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 647
62.0%
ASCII 396
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
47.7%
( 33
 
8.3%
) 33
 
8.3%
1 27
 
6.8%
2 18
 
4.5%
3 14
 
3.5%
, 14
 
3.5%
7 11
 
2.8%
4 11
 
2.8%
0 10
 
2.5%
Other values (6) 36
 
9.1%
Hangul
ValueCountFrequency (%)
청 38
 
5.9%
남 37
 
5.7%
보 37
 
5.7%
령 37
 
5.7%
도 36
 
5.6%
충 35
 
5.4%
시 34
 
5.3%
동 33
 
5.1%
길 24
 
3.7%
리 20
 
3.1%
Other values (121) 316
48.8%

위도
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.327332
Minimum36.204853
Maximum36.468517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T05:28:21.003603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.204853
5-th percentile36.217921
Q136.296307
median36.348329
Q336.354796
95-th percentile36.408834
Maximum36.468517
Range0.26366416
Interquartile range (IQR)0.058488471

Descriptive statistics

Standard deviation0.062478147
Coefficient of variation (CV)0.0017198661
Kurtosis0.23839642
Mean36.327332
Median Absolute Deviation (MAD)0.016325314
Skewness-0.24188444
Sum1235.1293
Variance0.0039035189
MonotonicityNot monotonic
2024-01-10T05:28:21.133966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
36.3540733052 1
 
2.9%
36.2217707628 1
 
2.9%
36.3534439326 1
 
2.9%
36.3633383833 1
 
2.9%
36.2675104483 1
 
2.9%
36.3525623545 1
 
2.9%
36.3438642193 1
 
2.9%
36.342204488 1
 
2.9%
36.3476934206 1
 
2.9%
36.237610769 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
36.2048532542 1
2.9%
36.2107716653 1
2.9%
36.2217707628 1
2.9%
36.2339733918 1
2.9%
36.237610769 1
2.9%
36.2464782566 1
2.9%
36.2466237608 1
2.9%
36.2675104483 1
2.9%
36.2903420255 1
2.9%
36.3142035134 1
2.9%
ValueCountFrequency (%)
36.4685174192 1
2.9%
36.4569957153 1
2.9%
36.382900572 1
2.9%
36.3785069318 1
2.9%
36.3659704317 1
2.9%
36.3633383833 1
2.9%
36.3582182027 1
2.9%
36.3575536711 1
2.9%
36.3550367224 1
2.9%
36.3540733052 1
2.9%

경도
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.61519
Minimum126.51391
Maximum126.71203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T05:28:21.258229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.51391
5-th percentile126.53383
Q1126.59847
median126.60939
Q3126.62393
95-th percentile126.698
Maximum126.71203
Range0.19812319
Interquartile range (IQR)0.025464349

Descriptive statistics

Standard deviation0.046191644
Coefficient of variation (CV)0.00036481914
Kurtosis0.4580308
Mean126.61519
Median Absolute Deviation (MAD)0.013886485
Skewness0.16681473
Sum4304.9164
Variance0.002133668
MonotonicityNot monotonic
2024-01-10T05:28:21.375724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
126.5952003554 1
 
2.9%
126.702881052 1
 
2.9%
126.6164847416 1
 
2.9%
126.6229733248 1
 
2.9%
126.6242544534 1
 
2.9%
126.6047439121 1
 
2.9%
126.602544283 1
 
2.9%
126.5978463013 1
 
2.9%
126.6160839447 1
 
2.9%
126.6953768141 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
126.5139090018 1
2.9%
126.5237215669 1
2.9%
126.5392754585 1
2.9%
126.5581116703 1
2.9%
126.5846007707 1
2.9%
126.5869792949 1
2.9%
126.5914587848 1
2.9%
126.5952003554 1
2.9%
126.5978463013 1
2.9%
126.6003403835 1
2.9%
ValueCountFrequency (%)
126.7120321882 1
2.9%
126.702881052 1
2.9%
126.6953768141 1
2.9%
126.6894175972 1
2.9%
126.6753755736 1
2.9%
126.6752786002 1
2.9%
126.6581562945 1
2.9%
126.634617153 1
2.9%
126.6242544534 1
2.9%
126.6229733248 1
2.9%

운영상태
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
운영
29 
휴관
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영
2nd row휴관
3rd row휴관
4th row운영
5th row휴관

Common Values

ValueCountFrequency (%)
운영 29
85.3%
휴관 5
 
14.7%

Length

2024-01-10T05:28:21.498109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:28:21.589960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 29
85.3%
휴관 5
 
14.7%

연락처
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing10
Missing (%)29.4%
Memory size404.0 B
2024-01-10T05:28:21.754566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters289
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

Unique24 ?
Unique (%)100.0%

Sample

1st row041-936-9906
2nd row041-935-8220
3rd row041-932-9427
4th row041-933-5769
5th row041-933-9771
ValueCountFrequency (%)
041-936-9906 1
 
4.2%
041-935-8220 1
 
4.2%
041-932-6865 1
 
4.2%
041-933-4508 1
 
4.2%
041-934-0744 1
 
4.2%
041-933-4082 1
 
4.2%
041-933-3756 1
 
4.2%
041-931-5041 1
 
4.2%
041-933-2091 1
 
4.2%
041-933-5083 1
 
4.2%
Other values (14) 14
58.3%
2024-01-10T05:28:22.072911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.6%
3 42
14.5%
4 37
12.8%
0 36
12.5%
1 34
11.8%
9 34
11.8%
8 13
 
4.5%
2 13
 
4.5%
5 12
 
4.2%
7 11
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 241
83.4%
Dash Punctuation 48
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 42
17.4%
4 37
15.4%
0 36
14.9%
1 34
14.1%
9 34
14.1%
8 13
 
5.4%
2 13
 
5.4%
5 12
 
5.0%
7 11
 
4.6%
6 9
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.6%
3 42
14.5%
4 37
12.8%
0 36
12.5%
1 34
11.8%
9 34
11.8%
8 13
 
4.5%
2 13
 
4.5%
5 12
 
4.2%
7 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.6%
3 42
14.5%
4 37
12.8%
0 36
12.5%
1 34
11.8%
9 34
11.8%
8 13
 
4.5%
2 13
 
4.5%
5 12
 
4.2%
7 11
 
3.8%

장서현황
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)71.9%
Missing2
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean3743.1875
Minimum1000
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T05:28:22.210836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1000
Q11360
median2100
Q33005
95-th percentile12190
Maximum30000
Range29000
Interquartile range (IQR)1645

Descriptive statistics

Standard deviation5862.3018
Coefficient of variation (CV)1.5661256
Kurtosis14.778892
Mean3743.1875
Median Absolute Deviation (MAD)900
Skewness3.7867099
Sum119782
Variance34366582
MonotonicityNot monotonic
2024-01-10T05:28:22.338906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3000 4
 
11.8%
1500 4
 
11.8%
1000 3
 
8.8%
1200 2
 
5.9%
2500 1
 
2.9%
20000 1
 
2.9%
5800 1
 
2.9%
3020 1
 
2.9%
1100 1
 
2.9%
5120 1
 
2.9%
Other values (13) 13
38.2%
(Missing) 2
 
5.9%
ValueCountFrequency (%)
1000 3
8.8%
1100 1
 
2.9%
1200 2
5.9%
1300 1
 
2.9%
1306 1
 
2.9%
1378 1
 
2.9%
1410 1
 
2.9%
1500 4
11.8%
1700 1
 
2.9%
2000 1
 
2.9%
ValueCountFrequency (%)
30000 1
 
2.9%
20000 1
 
2.9%
5800 1
 
2.9%
5120 1
 
2.9%
4800 1
 
2.9%
4737 1
 
2.9%
3265 1
 
2.9%
3020 1
 
2.9%
3000 4
11.8%
2500 1
 
2.9%

열람석
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)36.4%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean17.848485
Minimum6
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T05:28:22.461265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8
Q110
median15
Q320
95-th percentile40.8
Maximum45
Range39
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.940524
Coefficient of variation (CV)0.61296657
Kurtosis0.82992538
Mean17.848485
Median Absolute Deviation (MAD)5
Skewness1.4010896
Sum589
Variance119.69508
MonotonicityNot monotonic
2024-01-10T05:28:22.566643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 8
23.5%
20 5
14.7%
12 5
14.7%
16 4
11.8%
8 2
 
5.9%
40 2
 
5.9%
15 2
 
5.9%
30 1
 
2.9%
45 1
 
2.9%
42 1
 
2.9%
Other values (2) 2
 
5.9%
ValueCountFrequency (%)
6 1
 
2.9%
8 2
 
5.9%
10 8
23.5%
12 5
14.7%
15 2
 
5.9%
16 4
11.8%
20 5
14.7%
30 1
 
2.9%
36 1
 
2.9%
40 2
 
5.9%
ValueCountFrequency (%)
45 1
 
2.9%
42 1
 
2.9%
40 2
 
5.9%
36 1
 
2.9%
30 1
 
2.9%
20 5
14.7%
16 4
11.8%
15 2
 
5.9%
12 5
14.7%
10 8
23.5%

설립일자
Date

MISSING 

Distinct32
Distinct (%)97.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
Minimum2003-05-28 00:00:00
Maximum2022-07-12 00:00:00
2024-01-10T05:28:22.677995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:22.794110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2023-06-20 00:00:00
Maximum2023-06-20 00:00:00
2024-01-10T05:28:22.891014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:22.970447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T05:28:18.371037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:16.616582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.110419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.519812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.952385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:18.732189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:16.703435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.194245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.603909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:18.034338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:18.838339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:16.804733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.267802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.696719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:18.107591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:18.948738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:16.914358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.353678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.785727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:18.196398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:19.031025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.020975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.434985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:17.866311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:28:18.276618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:28:23.042426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호도서관명도로명 주소위도경도운영상태연락처장서현황열람석설립일자
번호1.0001.0001.0000.3880.7410.2711.0000.4510.0000.932
도서관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도로명 주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.3881.0001.0001.0000.7180.0001.0000.0000.5951.000
경도0.7411.0001.0000.7181.0000.0001.0000.6790.3601.000
운영상태0.2711.0001.0000.0000.0001.0001.0000.5750.4051.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
장서현황0.4511.0001.0000.0000.6790.5751.0001.0000.0001.000
열람석0.0001.0001.0000.5950.3600.4051.0000.0001.0000.876
설립일자0.9321.0001.0001.0001.0001.0001.0001.0000.8761.000
2024-01-10T05:28:23.155363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호위도경도장서현황열람석운영상태
번호1.000-0.0760.314-0.013-0.1010.157
위도-0.0761.000-0.2080.3060.3140.000
경도0.314-0.2081.0000.187-0.1290.000
장서현황-0.0130.3060.1871.0000.4540.387
열람석-0.1010.314-0.1290.4541.0000.262
운영상태0.1570.0000.0000.3870.2621.000

Missing values

2024-01-10T05:28:19.154500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:28:19.291546image/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.
2024-01-10T05:28:19.425916image/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

번호도서관명도로명 주소위도경도운영상태연락처장서현황열람석설립일자데이터기준일자
01414 SDL 작은도서관충청남도 보령시 옥갓티3길 24 (대천동, 태평양마트)36.354073126.5952운영<NA>100082020-06-302023-06-20
12e편한세상 작은도서관충청남도 보령시 한내로터리길 170 (동대동, e편한세상 보령)36.352987126.617279휴관041-936-9906300040<NA>2023-06-20
23광명샤인빌작은도서관충청남도 보령시 한내로터리길 119-11 (동대동, 광명샤인빌)36.350595126.613113휴관041-935-82201500162013-03-132023-06-20
34꿈드림작은도서관충청남도 보령시 주교면 신대1길 16 (신대리) 1층36.36597126.584601운영<NA>2346162022-07-122023-06-20
45꿈행복사랑작은도서관충청남도 보령시 청소면 김좌진로 46-2036.456996126.602868휴관041-932-94271378162018-07-112023-06-20
56대천신흥작은도서관충청남도 보령시 고잠1길 90 (신흑동)36.314204126.513909운영041-933-57692500302013-12-192023-06-20
67대천애육원작은도서관충청남도 보령시 마루뜰길 36 (신흑동, 대천애육원)36.319231126.523722운영041-933-97711500162014-01-232023-06-20
78대천작은도서관충청남도 보령시 대청로 216 (동대동)36.358218126.615961운영041-936-57332000102012-07-172023-06-20
89더베스트예미지작은도서관충청남도 보령시 명천로 94 (명천동, 더 베스트 예미지 아파트)36.337522126.60567운영<NA>1306452021-11-102023-06-20
910라르고팜작은도서관충청남도 보령시 주산면 주산벚꽃로 57 (황율리)36.204853126.634617운영041-933-1328<NA>102016-11-232023-06-20
번호도서관명도로명 주소위도경도운영상태연락처장서현황열람석설립일자데이터기준일자
2425예샘작은도서관충청남도 보령시 명천중앙길 6 (명천동)36.343864126.602544휴관<NA><NA>202017-01-052023-06-20
2526예헌작은도서관충청남도 보령시 명천중앙길 49 (궁촌동)36.342204126.597846운영<NA>1300122021-02-022023-06-20
2627옥현도서관충청남도 보령시 미산면 금당길 132 (옥현리, 옥현리마을회관) 2층36.221771126.702881운영041-933-4082150082018-12-042023-06-20
2728웃음소리작은도서관충청남도 보령시 동현로 87 (동대동)36.347693126.616084운영041-934-07445120422011-11-092023-06-20
2829웅천곰내고인돌작은도서관충청남도 보령시 웅천읍 장터6길 22-5 (대창리)36.233973126.60034운영<NA>1000102022-03-182023-06-20
2930창출작은도서관충청남도 보령시 미산면 도흥길 239-27 (도흥리) 2층36.246624126.712032운영041-933-4508120062017-07-112023-06-20
3031천변길작은도서관충청남도 보령시 천변남길 234-5 (동대동)36.348965126.601647운영<NA>1100122022-06-162023-06-20
3132청라산책작은도서관충청남도 보령시 청라면 은선길 105 (나원리, 상중교회)36.382901126.689418운영<NA>3020362016-10-122023-06-20
3233한성필하우스 작은도서관충청남도 보령시 한내로터리길 130 (동대동, 동대한성필하우스)36.350529126.614987운영041-932-68651000122019-11-262023-06-20
3334희망꿈작은도서관충청남도 보령시 지장골길 37 (죽정동, 죽정 주공아파트) 106동 1층36.357554126.604249운영041-934-98755800202011-08-012023-06-20