Overview

Dataset statistics

Number of variables8
Number of observations38
Missing cells2
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory69.5 B

Variable types

Text4
Numeric2
Categorical2

Dataset

Description서울특별시 서대문구 관내에 위치하고 있는 작은도서관 현황정보(도서관명, 주소, 전화번호, 좌표 등)에 대한 데이터 입니다.
Author서울특별시 서대문구
URLhttps://www.data.go.kr/data/15055443/fileData.do

Alerts

도서관 구분 is highly overall correlated with 정기 휴관일High correlation
정기 휴관일 is highly overall correlated with 도서관 구분High correlation
도서관 구분 is highly imbalanced (52.8%)Imbalance
연락처 has 1 (2.6%) missing valuesMissing
운영시간 has 1 (2.6%) missing valuesMissing
도서관명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:50:57.381871
Analysis finished2023-12-12 02:50:58.750068
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T11:50:59.007817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length11.210526
Min length5

Characters and Unicode

Total characters426
Distinct characters142
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowDMC래미안e편한세상아파트1블럭작은도서관
2nd row남가좌1동파랑새작은도서관
3rd row남가좌삼성래미안아파트푸른북카페
4th row남가좌새롬어린이도서관
5th row돈의문센트레빌작은도서관
ValueCountFrequency (%)
dmc래미안e편한세상아파트1블럭작은도서관 1
 
2.6%
충현동알음알음작은도서관 1
 
2.6%
홍제3동문화촌어린이작은도서관 1
 
2.6%
연희동아이누리작은도서관 1
 
2.6%
연희파크푸르지오작은도서관 1
 
2.6%
영광시각장애인모바일점자도서관 1
 
2.6%
이화여자대학교박물관전문도서관 1
 
2.6%
천연동하늘샘작은도서관 1
 
2.6%
천연뜨란채문고 1
 
2.6%
하뜰안도서관 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T11:50:59.535855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
8.5%
34
 
8.0%
33
 
7.7%
21
 
4.9%
19
 
4.5%
14
 
3.3%
12
 
2.8%
9
 
2.1%
9
 
2.1%
8
 
1.9%
Other values (132) 231
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
96.9%
Decimal Number 9
 
2.1%
Uppercase Letter 3
 
0.7%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
8.7%
34
 
8.2%
33
 
8.0%
21
 
5.1%
19
 
4.6%
14
 
3.4%
12
 
2.9%
9
 
2.2%
9
 
2.2%
8
 
1.9%
Other values (125) 218
52.8%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 4
44.4%
3 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
C 1
33.3%
M 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
96.9%
Common 9
 
2.1%
Latin 4
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
8.7%
34
 
8.2%
33
 
8.0%
21
 
5.1%
19
 
4.6%
14
 
3.4%
12
 
2.9%
9
 
2.2%
9
 
2.2%
8
 
1.9%
Other values (125) 218
52.8%
Latin
ValueCountFrequency (%)
D 1
25.0%
e 1
25.0%
C 1
25.0%
M 1
25.0%
Common
ValueCountFrequency (%)
1 4
44.4%
2 4
44.4%
3 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
96.9%
ASCII 13
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
 
8.7%
34
 
8.2%
33
 
8.0%
21
 
5.1%
19
 
4.6%
14
 
3.4%
12
 
2.9%
9
 
2.2%
9
 
2.2%
8
 
1.9%
Other values (125) 218
52.8%
ASCII
ValueCountFrequency (%)
1 4
30.8%
2 4
30.8%
3 1
 
7.7%
D 1
 
7.7%
e 1
 
7.7%
C 1
 
7.7%
M 1
 
7.7%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T11:50:59.841563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length28.5
Min length17

Characters and Unicode

Total characters1083
Distinct characters125
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 서대문구 수색로 100 1블럭 커뮤니티센터
2nd row서울특별시 서대문구 모래내로 15길 37 2층
3rd row서울특별시 서대문구 증가로 191 (삼성아파트) 푸른북카페
4th row서울특별시 서대문구 증가로10길 16-15
5th row서울특별시 서대문구 독립문로14길33 206동 커뮤니티동
ValueCountFrequency (%)
서울특별시 38
 
17.9%
서대문구 38
 
17.9%
2층 12
 
5.7%
1층 6
 
2.8%
통일로 4
 
1.9%
수색로 3
 
1.4%
모래내로 3
 
1.4%
증가로 2
 
0.9%
27 2
 
0.9%
510 2
 
0.9%
Other values (98) 102
48.1%
2023-12-12T11:51:00.292348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
 
17.1%
79
 
7.3%
1 51
 
4.7%
44
 
4.1%
44
 
4.1%
40
 
3.7%
39
 
3.6%
39
 
3.6%
38
 
3.5%
38
 
3.5%
Other values (115) 486
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
65.6%
Space Separator 185
 
17.1%
Decimal Number 174
 
16.1%
Dash Punctuation 6
 
0.6%
Uppercase Letter 6
 
0.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
79
 
11.1%
44
 
6.2%
44
 
6.2%
40
 
5.6%
39
 
5.5%
39
 
5.5%
38
 
5.4%
38
 
5.4%
34
 
4.8%
20
 
2.8%
Other values (95) 295
41.5%
Decimal Number
ValueCountFrequency (%)
1 51
29.3%
2 31
17.8%
3 18
 
10.3%
4 17
 
9.8%
0 17
 
9.8%
5 14
 
8.0%
7 9
 
5.2%
8 8
 
4.6%
9 5
 
2.9%
6 4
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
16.7%
Z 1
16.7%
D 1
16.7%
M 1
16.7%
C 1
16.7%
U 1
16.7%
Space Separator
ValueCountFrequency (%)
185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
65.6%
Common 367
33.9%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
79
 
11.1%
44
 
6.2%
44
 
6.2%
40
 
5.6%
39
 
5.5%
39
 
5.5%
38
 
5.4%
38
 
5.4%
34
 
4.8%
20
 
2.8%
Other values (95) 295
41.5%
Common
ValueCountFrequency (%)
185
50.4%
1 51
 
13.9%
2 31
 
8.4%
3 18
 
4.9%
4 17
 
4.6%
0 17
 
4.6%
5 14
 
3.8%
7 9
 
2.5%
8 8
 
2.2%
- 6
 
1.6%
Other values (4) 11
 
3.0%
Latin
ValueCountFrequency (%)
B 1
16.7%
Z 1
16.7%
D 1
16.7%
M 1
16.7%
C 1
16.7%
U 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
65.6%
ASCII 373
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
49.6%
1 51
 
13.7%
2 31
 
8.3%
3 18
 
4.8%
4 17
 
4.6%
0 17
 
4.6%
5 14
 
3.8%
7 9
 
2.4%
8 8
 
2.1%
- 6
 
1.6%
Other values (10) 17
 
4.6%
Hangul
ValueCountFrequency (%)
79
 
11.1%
44
 
6.2%
44
 
6.2%
40
 
5.6%
39
 
5.5%
39
 
5.5%
38
 
5.4%
38
 
5.4%
34
 
4.8%
20
 
2.8%
Other values (95) 295
41.5%

연락처
Text

MISSING 

Distinct36
Distinct (%)97.3%
Missing1
Missing (%)2.6%
Memory size436.0 B
2023-12-12T11:51:00.547565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.27027
Min length11

Characters and Unicode

Total characters417
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

Unique35 ?
Unique (%)94.6%

Sample

1st row02-302-3105
2nd row02-330-8992
3rd row02-376-2743
4th row02-360-8670
5th row02-364-8522
ValueCountFrequency (%)
02-302-3105 2
 
5.4%
02-330-8992 1
 
2.7%
02-330-8775 1
 
2.7%
02-336-1185 1
 
2.7%
02-393-4568 1
 
2.7%
02-3277-3676 1
 
2.7%
02-3140-8334 1
 
2.7%
02-365-2800 1
 
2.7%
02-330-8164 1
 
2.7%
070-4060-0617 1
 
2.7%
Other values (26) 26
70.3%
2023-12-12T11:51:01.006976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
18.7%
- 74
17.7%
3 58
13.9%
2 54
12.9%
6 30
 
7.2%
8 25
 
6.0%
7 23
 
5.5%
5 21
 
5.0%
9 20
 
4.8%
1 19
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 343
82.3%
Dash Punctuation 74
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
22.7%
3 58
16.9%
2 54
15.7%
6 30
 
8.7%
8 25
 
7.3%
7 23
 
6.7%
5 21
 
6.1%
9 20
 
5.8%
1 19
 
5.5%
4 15
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
18.7%
- 74
17.7%
3 58
13.9%
2 54
12.9%
6 30
 
7.2%
8 25
 
6.0%
7 23
 
5.5%
5 21
 
5.0%
9 20
 
4.8%
1 19
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
18.7%
- 74
17.7%
3 58
13.9%
2 54
12.9%
6 30
 
7.2%
8 25
 
6.0%
7 23
 
5.5%
5 21
 
5.0%
9 20
 
4.8%
1 19
 
4.6%

위도
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.578142
Minimum37.550447
Maximum37.668716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T11:51:01.160867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.550447
5-th percentile37.559658
Q137.567909
median37.574753
Q337.583634
95-th percentile37.595649
Maximum37.668716
Range0.11826953
Interquartile range (IQR)0.01572461

Descriptive statistics

Standard deviation0.018966927
Coefficient of variation (CV)0.00050473295
Kurtosis13.698954
Mean37.578142
Median Absolute Deviation (MAD)0.008541695
Skewness2.9887659
Sum1427.9694
Variance0.0003597443
MonotonicityNot monotonic
2023-12-12T11:51:01.314126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
37.59456867 2
 
5.3%
37.57414641 1
 
2.6%
37.58571423 1
 
2.6%
37.57513727 1
 
2.6%
37.5597584 1
 
2.6%
37.55955735 1
 
2.6%
37.56992171 1
 
2.6%
37.56623615 1
 
2.6%
37.56292966 1
 
2.6%
37.57369345 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
37.55044679 1
2.6%
37.55955735 1
2.6%
37.55967614 1
2.6%
37.5597584 1
2.6%
37.56221656 1
2.6%
37.56292966 1
2.6%
37.5638977 1
2.6%
37.56591992 1
2.6%
37.56623615 1
2.6%
37.56790334 1
2.6%
ValueCountFrequency (%)
37.66871632 1
2.6%
37.60177311 1
2.6%
37.59456867 2
5.3%
37.59376361 1
2.6%
37.591278 1
2.6%
37.58640372 1
2.6%
37.58610187 1
2.6%
37.58571423 1
2.6%
37.58373848 1
2.6%
37.58331954 1
2.6%

경도
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.9461
Minimum126.90765
Maximum127.13987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T11:51:01.473525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.90765
5-th percentile126.91083
Q1126.92339
median126.943
Q3126.95535
95-th percentile126.98082
Maximum127.13987
Range0.232219
Interquartile range (IQR)0.031959425

Descriptive statistics

Standard deviation0.040839071
Coefficient of variation (CV)0.00032170403
Kurtosis14.182671
Mean126.9461
Median Absolute Deviation (MAD)0.01606895
Skewness3.3402971
Sum4823.9517
Variance0.0016678297
MonotonicityNot monotonic
2023-12-12T11:51:01.899514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
126.9411671 2
 
5.3%
126.9076539 1
 
2.6%
126.923177 1
 
2.6%
126.9275107 1
 
2.6%
126.9547662 1
 
2.6%
126.9448232 1
 
2.6%
126.9613536 1
 
2.6%
126.9588387 1
 
2.6%
126.9623734 1
 
2.6%
126.9221953 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
126.9076539 1
2.6%
126.9101365 1
2.6%
126.9109474 1
2.6%
126.911033 1
2.6%
126.9137991 1
2.6%
126.9149689 1
2.6%
126.9160828 1
2.6%
126.9197815 1
2.6%
126.9221953 1
2.6%
126.923177 1
2.6%
ValueCountFrequency (%)
127.1398729 1
2.6%
127.0471316 1
2.6%
126.9691142 1
2.6%
126.9623734 1
2.6%
126.9613536 1
2.6%
126.9611468 1
2.6%
126.9592895 1
2.6%
126.9588387 1
2.6%
126.9567951 1
2.6%
126.9555492 1
2.6%

도서관 구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
작은도서관
31 
공공도서관
<NA>
 
2
장애인도서관
 
1

Length

Max length6
Median length5
Mean length4.9736842
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row작은도서관
2nd row작은도서관
3rd row작은도서관
4th row공공도서관
5th row작은도서관

Common Values

ValueCountFrequency (%)
작은도서관 31
81.6%
공공도서관 4
 
10.5%
<NA> 2
 
5.3%
장애인도서관 1
 
2.6%

Length

2023-12-12T11:51:02.046655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:51:02.172657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
작은도서관 31
81.6%
공공도서관 4
 
10.5%
na 2
 
5.3%
장애인도서관 1
 
2.6%

정기 휴관일
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
일요일, 공휴일
토요일, 일요일
토요일, 일요일, 공휴일
일요일
매주 월요일 및 법정 공휴일
Other values (9)
11 

Length

Max length25
Median length19
Mean length8.7368421
Min length2

Unique

Unique7 ?
Unique (%)18.4%

Sample

1st row일요일
2nd row일요일
3rd row토요일, 일요일
4th row매주 월요일 및 법정 공휴일
5th row<NA>

Common Values

ValueCountFrequency (%)
일요일, 공휴일 9
23.7%
토요일, 일요일 8
21.1%
토요일, 일요일, 공휴일 5
13.2%
일요일 3
 
7.9%
매주 월요일 및 법정 공휴일 2
 
5.3%
<NA> 2
 
5.3%
월요일 2
 
5.3%
토요일, 일요일, 공휴일 재단이 정하는 휴관일 1
 
2.6%
월요일, 토요일, 일요일 1
 
2.6%
토요일,일요일 1
 
2.6%
Other values (4) 4
10.5%

Length

2023-12-12T11:51:02.285210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일요일 28
32.6%
공휴일 17
19.8%
토요일 15
17.4%
월요일 5
 
5.8%
매주 4
 
4.7%
3
 
3.5%
법정 2
 
2.3%
na 2
 
2.3%
1,3주 1
 
1.2%
없음 1
 
1.2%
Other values (8) 8
 
9.3%

운영시간
Text

MISSING 

Distinct20
Distinct (%)54.1%
Missing1
Missing (%)2.6%
Memory size436.0 B
2023-12-12T11:51:02.424556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length37
Mean length28.189189
Min length10

Characters and Unicode

Total characters1043
Distinct characters28
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)43.2%

Sample

1st row평일 : 10:00~21:00 주말 : (토):10:00~18:00
2nd row평일 : 09:00~18:00 주말 : 09:00~12:00
3rd row평일 : 11:00~17:00 주말 : 휴관일
4th row평일 : 09:00~18:00 주말 : 09:00~17:00
5th row평일 : 09:00~18:00 주말 : 휴관일
ValueCountFrequency (%)
70
33.3%
평일 36
17.1%
주말 33
15.7%
09:00~18:00 25
 
11.9%
휴관일 15
 
7.1%
10:00~17:00 5
 
2.4%
09:00~17:00 4
 
1.9%
10:00~18:00 3
 
1.4%
24시간운영 2
 
1.0%
10:00~21:00 2
 
1.0%
Other values (15) 15
 
7.1%
2023-12-12T11:51:02.712785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 260
24.9%
: 182
17.4%
174
16.7%
1 72
 
6.9%
~ 54
 
5.2%
53
 
5.1%
37
 
3.5%
9 34
 
3.3%
33
 
3.2%
33
 
3.2%
Other values (18) 111
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 428
41.0%
Other Letter 201
19.3%
Other Punctuation 182
17.4%
Space Separator 174
16.7%
Math Symbol 54
 
5.2%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
26.4%
37
18.4%
33
16.4%
33
16.4%
15
 
7.5%
15
 
7.5%
5
 
2.5%
2
 
1.0%
2
 
1.0%
2
 
1.0%
Other values (3) 4
 
2.0%
Decimal Number
ValueCountFrequency (%)
0 260
60.7%
1 72
 
16.8%
9 34
 
7.9%
8 32
 
7.5%
7 12
 
2.8%
2 8
 
1.9%
4 4
 
0.9%
3 4
 
0.9%
6 1
 
0.2%
5 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 182
100.0%
Space Separator
ValueCountFrequency (%)
174
100.0%
Math Symbol
ValueCountFrequency (%)
~ 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 842
80.7%
Hangul 201
 
19.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 260
30.9%
: 182
21.6%
174
20.7%
1 72
 
8.6%
~ 54
 
6.4%
9 34
 
4.0%
8 32
 
3.8%
7 12
 
1.4%
2 8
 
1.0%
4 4
 
0.5%
Other values (5) 10
 
1.2%
Hangul
ValueCountFrequency (%)
53
26.4%
37
18.4%
33
16.4%
33
16.4%
15
 
7.5%
15
 
7.5%
5
 
2.5%
2
 
1.0%
2
 
1.0%
2
 
1.0%
Other values (3) 4
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 842
80.7%
Hangul 201
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 260
30.9%
: 182
21.6%
174
20.7%
1 72
 
8.6%
~ 54
 
6.4%
9 34
 
4.0%
8 32
 
3.8%
7 12
 
1.4%
2 8
 
1.0%
4 4
 
0.5%
Other values (5) 10
 
1.2%
Hangul
ValueCountFrequency (%)
53
26.4%
37
18.4%
33
16.4%
33
16.4%
15
 
7.5%
15
 
7.5%
5
 
2.5%
2
 
1.0%
2
 
1.0%
2
 
1.0%
Other values (3) 4
 
2.0%

Interactions

2023-12-12T11:50:58.088887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:50:57.873553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:50:58.195369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:50:57.982696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:51:02.808203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명주소연락처위도경도도서관 구분정기 휴관일운영시간
도서관명1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0000.672
위도1.0001.0001.0001.0000.7880.7370.7250.000
경도1.0001.0001.0000.7881.0000.0000.0000.000
도서관 구분1.0001.0001.0000.7370.0001.0001.0001.000
정기 휴관일1.0001.0001.0000.7250.0001.0001.0000.907
운영시간1.0001.0000.6720.0000.0001.0000.9071.000
2023-12-12T11:51:02.911587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 구분정기 휴관일
도서관 구분1.0000.842
정기 휴관일0.8421.000
2023-12-12T11:51:02.992123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도도서관 구분정기 휴관일
위도1.000-0.3320.3920.398
경도-0.3321.0000.0000.000
도서관 구분0.3920.0001.0000.842
정기 휴관일0.3980.0000.8421.000

Missing values

2023-12-12T11:50:58.351223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:50:58.532060image/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.
2023-12-12T11:50:58.671337image/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

도서관명주소연락처위도경도도서관 구분정기 휴관일운영시간
0DMC래미안e편한세상아파트1블럭작은도서관서울특별시 서대문구 수색로 100 1블럭 커뮤니티센터02-302-310537.574146126.907654작은도서관일요일평일 : 10:00~21:00 주말 : (토):10:00~18:00
1남가좌1동파랑새작은도서관서울특별시 서대문구 모래내로 15길 37 2층02-330-899237.573278126.919781작은도서관일요일평일 : 09:00~18:00 주말 : 09:00~12:00
2남가좌삼성래미안아파트푸른북카페서울특별시 서대문구 증가로 191 (삼성아파트) 푸른북카페02-376-274337.578064126.916083작은도서관토요일, 일요일평일 : 11:00~17:00 주말 : 휴관일
3남가좌새롬어린이도서관서울특별시 서대문구 증가로10길 16-1502-360-867037.57834126.924045공공도서관매주 월요일 및 법정 공휴일평일 : 09:00~18:00 주말 : 09:00~17:00
4돈의문센트레빌작은도서관서울특별시 서대문구 독립문로14길33 206동 커뮤니티동02-364-852237.56592126.959289작은도서관<NA><NA>
5동북아역사재단동북아역사자료실서울특별시 서대문구 통일로 8102-2012-603437.562217126.969114<NA>토요일, 일요일, 공휴일 재단이 정하는 휴관일평일 : 09:00~18:00 주말 : 휴관일
6명지어린이영어도서관서울특별시 서대문구 가좌로 117 명지대학교교회02-303-250537.582175126.925145작은도서관월요일, 토요일, 일요일평일 : 14:00~18:00 주말 : 휴관일
7봉원교회샘뜰작은도서관서울특별시 서대문구 봉원사 2길 13 1층 봉원교회02-392-655237.567903126.946641작은도서관토요일, 일요일평일 : 12:00~18:00 주말 : 휴관일
8북가좌1동늘푸른열린작은도서관서울특별시 서대문구 수색로 100-55 북가좌1동주민센터 2층02-330-855437.574368126.910136작은도서관토요일, 일요일평일 : 09:00~18:00 주말 : 휴관일
9북가좌2동가슴따뜻한작은도서관서울특별시 서대문구 응암로1길 10 북가좌2동주민센터 2층02-330-865237.581593126.911033작은도서관일요일, 공휴일평일 : 09:00~18:00 주말 : 토:10:00~14:00
도서관명주소연락처위도경도도서관 구분정기 휴관일운영시간
28하늘샘어린이도서관서울특별시 서대문구 가좌로 154 서부제일교회070-4060-061737.585714126.923177작은도서관월요일평일 : 10:00~18:00 주말 : 10:00~18:00
29하뜰안도서관서울특별시 서대문구 가재울로 13 성은교회 1층02-309-647737.573693126.922195작은도서관토요일, 일요일평일 : 09:00~18:00 주말 : 휴관일
30햇살작은도서관서울특별시 서대문구 세검정로1길 45 홍은1동자치회관02-330-846137.550447127.139873작은도서관토요일, 일요일, 공휴일평일 : 09:00~18:00 주말 : 휴관일
31행복작은도서관서울특별시 서대문구 모래내로 334 홍은2동주민센터 구청제4별관 3층02-330-878837.668716127.047132작은도서관토요일, 일요일, 공휴일평일 : 09:00~18:00 주말 : 휴관일
32홍은2동논골작은도서관서울특별시 서대문구 연희로41가길 33 청년미래공동체주택 101동 102호 B01호02-391-878937.591278126.933095작은도서관토요일, 일요일, 공휴일평일 : 09:00~18:00
33홍은도담도서관서울특별시 서대문구 홍은중앙로 12902-360-864037.601773126.948955공공도서관매주 금요일평일 : 09:00~18:00 주말 : 09:00~17:00
34홍제1동새싹작은도서관서울특별시 서대문구 통일로27길 19 2층02-330-866337.583164126.948412작은도서관일요일, 공휴일평일 : 09:00~18:00 주말 : 10:00~17:00
35홍제2동꿈이있는작은도서관서울특별시 서대문구 통일로34길 27 2층02-330-845337.586102126.949367작은도서관토요일, 일요일, 공휴일평일 : 09:00~18:00 주말 : 휴관일
36홍제3동문화촌어린이작은도서관서울특별시 서대문구 세검정로4길 32 홍제3동주민센터 2층02-330-899137.593764126.949689작은도서관일요일, 공휴일평일 : 09:00~18:00 주말 : 10:00~17:00
37홍제천작은도서관서울특별시 서대문구 통일로 510 북한산더샵상가 지하1층 214호<NA>37.594569126.941167작은도서관토요일, 일요일평일 : 09:00~18:00 주말 : 휴관일