Overview

Dataset statistics

Number of variables13
Number of observations1122
Missing cells729
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory119.6 KiB
Average record size in memory109.1 B

Variable types

Numeric4
Text6
Categorical3

Dataset

Description도서관 일련번호,도서관명,구 코드,구명,주소,전화번호,홈페이지 URL,운영시간,정기 휴관일,도서관 구분명,위도,경도
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15481/S/1/datasetView.do

Alerts

도서관 구분 has constant value ""Constant
도서관 구분명 has constant value ""Constant
구 코드 is highly overall correlated with 구명High correlation
위도 is highly overall correlated with 구명High correlation
경도 is highly overall correlated with 구명High correlation
구명 is highly overall correlated with 구 코드 and 2 other fieldsHigh correlation
전화번호 has 120 (10.7%) missing valuesMissing
홈페이지 URL has 573 (51.1%) missing valuesMissing
정기 휴관일 has 26 (2.3%) missing valuesMissing
도서관 일련번호 has unique valuesUnique

Reproduction

Analysis started2024-05-11 05:28:32.902045
Analysis finished2024-05-11 05:28:38.053126
Duration5.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관 일련번호
Real number (ℝ)

UNIQUE 

Distinct1122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1514.9955
Minimum39
Maximum2840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:28:38.189567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile196.1
Q1558.25
median1562.5
Q32466.75
95-th percentile2752.95
Maximum2840
Range2801
Interquartile range (IQR)1908.5

Descriptive statistics

Standard deviation907.91129
Coefficient of variation (CV)0.59928314
Kurtosis-1.4629719
Mean1514.9955
Median Absolute Deviation (MAD)945
Skewness-0.081825599
Sum1699825
Variance824302.91
MonotonicityNot monotonic
2024-05-11T14:28:38.445275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2413 1
 
0.1%
603 1
 
0.1%
605 1
 
0.1%
1444 1
 
0.1%
588 1
 
0.1%
575 1
 
0.1%
2508 1
 
0.1%
2801 1
 
0.1%
2507 1
 
0.1%
596 1
 
0.1%
Other values (1112) 1112
99.1%
ValueCountFrequency (%)
39 1
0.1%
50 1
0.1%
114 1
0.1%
116 1
0.1%
117 1
0.1%
118 1
0.1%
119 1
0.1%
120 1
0.1%
121 1
0.1%
124 1
0.1%
ValueCountFrequency (%)
2840 1
0.1%
2839 1
0.1%
2838 1
0.1%
2837 1
0.1%
2836 1
0.1%
2835 1
0.1%
2834 1
0.1%
2833 1
0.1%
2832 1
0.1%
2831 1
0.1%

도서관명
Text

Distinct1089
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T14:28:38.903869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length9.4741533
Min length3

Characters and Unicode

Total characters10630
Distinct characters528
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1063 ?
Unique (%)94.7%

Sample

1st rowBIBLIOTECA
2nd rowLH강남3단지작은도서관
3rd row신일도서관
4th row休+밤토리SH작은도서관
5th row꿈마을도서관
ValueCountFrequency (%)
작은도서관 115
 
8.6%
도서관 11
 
0.8%
꿈꾸는작은도서관 7
 
0.5%
북카페도서관 6
 
0.4%
다독다독 5
 
0.4%
하늘꿈작은도서관 3
 
0.2%
꿈꾸는 3
 
0.2%
작은 3
 
0.2%
해오름작은도서관 3
 
0.2%
샘터작은도서관 2
 
0.1%
Other values (1148) 1179
88.2%
2024-05-11T14:28:39.620850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 1026
 
9.7%
서 1025
 
9.6%
관 991
 
9.3%
은 793
 
7.5%
작 764
 
7.2%
동 275
 
2.6%
218
 
2.1%
마 157
 
1.5%
이 145
 
1.4%
문 139
 
1.3%
Other values (518) 5097
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9926
93.4%
Decimal Number 232
 
2.2%
Space Separator 218
 
2.1%
Uppercase Letter 121
 
1.1%
Lowercase Letter 47
 
0.4%
Close Punctuation 34
 
0.3%
Open Punctuation 34
 
0.3%
Other Punctuation 13
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1026
 
10.3%
서 1025
 
10.3%
관 991
 
10.0%
은 793
 
8.0%
작 764
 
7.7%
동 275
 
2.8%
마 157
 
1.6%
이 145
 
1.5%
문 139
 
1.4%
고 128
 
1.3%
Other values (463) 4483
45.2%
Uppercase Letter
ValueCountFrequency (%)
H 32
26.4%
S 30
24.8%
B 8
 
6.6%
L 7
 
5.8%
C 6
 
5.0%
O 4
 
3.3%
U 4
 
3.3%
I 4
 
3.3%
E 4
 
3.3%
T 3
 
2.5%
Other values (10) 19
15.7%
Lowercase Letter
ValueCountFrequency (%)
e 8
17.0%
o 8
17.0%
k 5
10.6%
s 4
8.5%
i 4
8.5%
r 4
8.5%
l 3
 
6.4%
u 2
 
4.3%
b 2
 
4.3%
f 1
 
2.1%
Other values (6) 6
12.8%
Decimal Number
ValueCountFrequency (%)
1 79
34.1%
2 65
28.0%
3 29
 
12.5%
4 21
 
9.1%
5 12
 
5.2%
6 9
 
3.9%
7 9
 
3.9%
9 4
 
1.7%
8 2
 
0.9%
0 2
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 5
38.5%
, 4
30.8%
& 3
23.1%
? 1
 
7.7%
Space Separator
ValueCountFrequency (%)
218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9921
93.3%
Common 536
 
5.0%
Latin 168
 
1.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1026
 
10.3%
서 1025
 
10.3%
관 991
 
10.0%
은 793
 
8.0%
작 764
 
7.7%
동 275
 
2.8%
마 157
 
1.6%
이 145
 
1.5%
문 139
 
1.4%
고 128
 
1.3%
Other values (458) 4478
45.1%
Latin
ValueCountFrequency (%)
H 32
19.0%
S 30
17.9%
B 8
 
4.8%
e 8
 
4.8%
o 8
 
4.8%
L 7
 
4.2%
C 6
 
3.6%
k 5
 
3.0%
s 4
 
2.4%
O 4
 
2.4%
Other values (26) 56
33.3%
Common
ValueCountFrequency (%)
218
40.7%
1 79
 
14.7%
2 65
 
12.1%
) 34
 
6.3%
( 34
 
6.3%
3 29
 
5.4%
4 21
 
3.9%
5 12
 
2.2%
6 9
 
1.7%
7 9
 
1.7%
Other values (9) 26
 
4.9%
Han
ValueCountFrequency (%)
家 1
20.0%
愛 1
20.0%
書 1
20.0%
積 1
20.0%
休 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9921
93.3%
ASCII 704
 
6.6%
CJK 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 1026
 
10.3%
서 1025
 
10.3%
관 991
 
10.0%
은 793
 
8.0%
작 764
 
7.7%
동 275
 
2.8%
마 157
 
1.6%
이 145
 
1.5%
문 139
 
1.4%
고 128
 
1.3%
Other values (458) 4478
45.1%
ASCII
ValueCountFrequency (%)
218
31.0%
1 79
 
11.2%
2 65
 
9.2%
) 34
 
4.8%
( 34
 
4.8%
H 32
 
4.5%
S 30
 
4.3%
3 29
 
4.1%
4 21
 
3.0%
5 12
 
1.7%
Other values (45) 150
21.3%
CJK
ValueCountFrequency (%)
家 1
20.0%
愛 1
20.0%
書 1
20.0%
積 1
20.0%
休 1
20.0%

구 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.932264
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:28:39.849064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16.25
median13
Q320
95-th percentile25
Maximum25
Range24
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation7.5933003
Coefficient of variation (CV)0.5871594
Kurtosis-1.2892968
Mean12.932264
Median Absolute Deviation (MAD)7
Skewness0.019184278
Sum14510
Variance57.658209
MonotonicityNot monotonic
2024-05-11T14:28:40.050273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
25 77
 
6.9%
16 72
 
6.4%
9 71
 
6.3%
1 67
 
6.0%
19 60
 
5.3%
10 56
 
5.0%
20 52
 
4.6%
5 50
 
4.5%
4 49
 
4.4%
7 48
 
4.3%
Other values (15) 520
46.3%
ValueCountFrequency (%)
1 67
6.0%
2 45
4.0%
3 46
4.1%
4 49
4.4%
5 50
4.5%
6 24
 
2.1%
7 48
4.3%
8 38
3.4%
9 71
6.3%
10 56
5.0%
ValueCountFrequency (%)
25 77
6.9%
24 34
3.0%
23 36
3.2%
22 46
4.1%
21 42
3.7%
20 52
4.6%
19 60
5.3%
18 40
3.6%
17 27
 
2.4%
16 72
6.4%

구명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
구로구
 
77
은평구
 
72
송파구
 
71
강서구
 
67
성북구
 
60
Other values (20)
775 

Length

Max length4
Median length3
Mean length3.0882353
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강남구
2nd row강남구
3rd row중랑구
4th row강남구
5th row관악구

Common Values

ValueCountFrequency (%)
구로구 77
 
6.9%
은평구 72
 
6.4%
송파구 71
 
6.3%
강서구 67
 
6.0%
성북구 60
 
5.3%
강동구 56
 
5.0%
중랑구 52
 
4.6%
관악구 50
 
4.5%
동작구 49
 
4.4%
서초구 48
 
4.3%
Other values (15) 520
46.3%

Length

2024-05-11T14:28:40.261388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구로구 77
 
6.9%
은평구 72
 
6.4%
송파구 71
 
6.3%
강서구 67
 
6.0%
성북구 60
 
5.3%
강동구 56
 
5.0%
중랑구 52
 
4.6%
관악구 50
 
4.5%
동작구 49
 
4.4%
서초구 48
 
4.3%
Other values (15) 520
46.3%

주소
Text

Distinct1121
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2024-05-11T14:28:40.865369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length29.594474
Min length14

Characters and Unicode

Total characters33205
Distinct characters450
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1120 ?
Unique (%)99.8%

Sample

1st row서울특별시 강남구 도산대로 25길 15-4 1층
2nd row서울특별시 강남구 자곡로3길 22
3rd row서울특별시 중랑구 상봉로20길 77 신일교회 1층
4th row서울특별시 강남구 밤고개로26길 50(율현동, 강남한신휴플러스6단지)
5th row서울특별시 관악구 중앙2길 16 2층
ValueCountFrequency (%)
서울특별시 1108
 
16.9%
2층 284
 
4.3%
1층 178
 
2.7%
3층 102
 
1.6%
구로구 76
 
1.2%
은평구 74
 
1.1%
송파구 71
 
1.1%
강서구 68
 
1.0%
성북구 59
 
0.9%
강동구 56
 
0.9%
Other values (2411) 4482
68.3%
2024-05-11T14:28:41.710964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5764
 
17.4%
서 1384
 
4.2%
1 1296
 
3.9%
구 1252
 
3.8%
로 1210
 
3.6%
시 1157
 
3.5%
울 1132
 
3.4%
별 1115
 
3.4%
특 1110
 
3.3%
2 1035
 
3.1%
Other values (440) 16750
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20972
63.2%
Space Separator 5764
 
17.4%
Decimal Number 5566
 
16.8%
Close Punctuation 230
 
0.7%
Open Punctuation 229
 
0.7%
Other Punctuation 224
 
0.7%
Dash Punctuation 156
 
0.5%
Uppercase Letter 57
 
0.2%
Math Symbol 4
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1384
 
6.6%
구 1252
 
6.0%
로 1210
 
5.8%
시 1157
 
5.5%
울 1132
 
5.4%
별 1115
 
5.3%
특 1110
 
5.3%
동 917
 
4.4%
층 749
 
3.6%
길 683
 
3.3%
Other values (403) 10263
48.9%
Uppercase Letter
ValueCountFrequency (%)
B 18
31.6%
S 6
 
10.5%
K 6
 
10.5%
H 6
 
10.5%
L 6
 
10.5%
P 2
 
3.5%
T 2
 
3.5%
G 1
 
1.8%
Y 1
 
1.8%
I 1
 
1.8%
Other values (8) 8
14.0%
Decimal Number
ValueCountFrequency (%)
1 1296
23.3%
2 1035
18.6%
3 687
12.3%
4 494
 
8.9%
0 441
 
7.9%
5 406
 
7.3%
6 348
 
6.3%
7 329
 
5.9%
9 278
 
5.0%
8 252
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 216
96.4%
. 5
 
2.2%
? 3
 
1.3%
Space Separator
ValueCountFrequency (%)
5764
100.0%
Close Punctuation
ValueCountFrequency (%)
) 230
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20972
63.2%
Common 12173
36.7%
Latin 60
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1384
 
6.6%
구 1252
 
6.0%
로 1210
 
5.8%
시 1157
 
5.5%
울 1132
 
5.4%
별 1115
 
5.3%
특 1110
 
5.3%
동 917
 
4.4%
층 749
 
3.6%
길 683
 
3.3%
Other values (403) 10263
48.9%
Latin
ValueCountFrequency (%)
B 18
30.0%
S 6
 
10.0%
K 6
 
10.0%
H 6
 
10.0%
L 6
 
10.0%
e 3
 
5.0%
P 2
 
3.3%
T 2
 
3.3%
G 1
 
1.7%
Y 1
 
1.7%
Other values (9) 9
15.0%
Common
ValueCountFrequency (%)
5764
47.4%
1 1296
 
10.6%
2 1035
 
8.5%
3 687
 
5.6%
4 494
 
4.1%
0 441
 
3.6%
5 406
 
3.3%
6 348
 
2.9%
7 329
 
2.7%
9 278
 
2.3%
Other values (8) 1095
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20971
63.2%
ASCII 12233
36.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5764
47.1%
1 1296
 
10.6%
2 1035
 
8.5%
3 687
 
5.6%
4 494
 
4.0%
0 441
 
3.6%
5 406
 
3.3%
6 348
 
2.8%
7 329
 
2.7%
9 278
 
2.3%
Other values (27) 1155
 
9.4%
Hangul
ValueCountFrequency (%)
서 1384
 
6.6%
구 1252
 
6.0%
로 1210
 
5.8%
시 1157
 
5.5%
울 1132
 
5.4%
별 1115
 
5.3%
특 1110
 
5.3%
동 917
 
4.4%
층 749
 
3.6%
길 683
 
3.3%
Other values (402) 10262
48.9%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

전화번호
Text

MISSING 

Distinct995
Distinct (%)99.3%
Missing120
Missing (%)10.7%
Memory size8.9 KiB
2024-05-11T14:28:42.177019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length11.687625
Min length8

Characters and Unicode

Total characters11711
Distinct characters28
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique988 ?
Unique (%)98.6%

Sample

1st row02-459-8700
2nd row02-6407-6355
3rd row02-2226-7942
4th row02-886-3196
5th row02-452-4985
ValueCountFrequency (%)
02-877-9864 2
 
0.2%
02-6458-2062 2
 
0.2%
02-988-5027 2
 
0.2%
02-582-9191 2
 
0.2%
02-302-3105 2
 
0.2%
02-792-7933 2
 
0.2%
02-354-1651 2
 
0.2%
070-4099-0732 1
 
0.1%
02-2241-5318 1
 
0.1%
02-941-3131 1
 
0.1%
Other values (987) 987
98.3%
2024-05-11T14:28:42.818339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2003
17.1%
2 1884
16.1%
0 1872
16.0%
6 788
 
6.7%
7 776
 
6.6%
4 766
 
6.5%
1 761
 
6.5%
3 731
 
6.2%
8 703
 
6.0%
9 696
 
5.9%
Other values (18) 731
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9673
82.6%
Dash Punctuation 2003
 
17.1%
Other Letter 14
 
0.1%
Other Punctuation 5
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%
Math Symbol 4
 
< 0.1%
Space Separator 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 2
14.3%
리 2
14.3%
소 2
14.3%
내 1
7.1%
선 1
7.1%
사 1
7.1%
무 1
7.1%
영 1
7.1%
상 1
7.1%
전 1
7.1%
Decimal Number
ValueCountFrequency (%)
2 1884
19.5%
0 1872
19.4%
6 788
8.1%
7 776
8.0%
4 766
7.9%
1 761
7.9%
3 731
 
7.6%
8 703
 
7.3%
9 696
 
7.2%
5 696
 
7.2%
Other Punctuation
ValueCountFrequency (%)
* 4
80.0%
, 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 2003
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11697
99.9%
Hangul 14
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2003
17.1%
2 1884
16.1%
0 1872
16.0%
6 788
 
6.7%
7 776
 
6.6%
4 766
 
6.5%
1 761
 
6.5%
3 731
 
6.2%
8 703
 
6.0%
9 696
 
6.0%
Other values (7) 717
 
6.1%
Hangul
ValueCountFrequency (%)
관 2
14.3%
리 2
14.3%
소 2
14.3%
내 1
7.1%
선 1
7.1%
사 1
7.1%
무 1
7.1%
영 1
7.1%
상 1
7.1%
전 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11697
99.9%
Hangul 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2003
17.1%
2 1884
16.1%
0 1872
16.0%
6 788
 
6.7%
7 776
 
6.6%
4 766
 
6.5%
1 761
 
6.5%
3 731
 
6.2%
8 703
 
6.0%
9 696
 
6.0%
Other values (7) 717
 
6.1%
Hangul
ValueCountFrequency (%)
관 2
14.3%
리 2
14.3%
소 2
14.3%
내 1
7.1%
선 1
7.1%
사 1
7.1%
무 1
7.1%
영 1
7.1%
상 1
7.1%
전 1
7.1%

홈페이지 URL
Text

MISSING 

Distinct228
Distinct (%)41.5%
Missing573
Missing (%)51.1%
Memory size8.9 KiB
2024-05-11T14:28:43.149169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length58
Mean length26.526412
Min length2

Characters and Unicode

Total characters14563
Distinct characters52
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

Unique199 ?
Unique (%)36.2%

Sample

1st rowhttp://cafe.naver.com/segok2love
2nd rowcafe.naver.com/sujainbook
3rd rowhttps://library.gangnam.go.kr/small
4th rowwww.nsca.or.kr
5th rowhttps://library.gangnam.go.kr/nhilib/index.do
ValueCountFrequency (%)
없음 58
 
10.6%
http://lib.dongjak.go.kr 39
 
7.1%
http://www.unilib.dobong.kr 32
 
5.8%
www.smalllibrary.org 27
 
4.9%
http://smlib.jungnanglib.seoul.kr/small/main.do 18
 
3.3%
https://www.yslibrary.or.kr 15
 
2.7%
http://lib.guro.go.kr 15
 
2.7%
https://www.ydplib.or.kr/small 14
 
2.6%
www.nowonlib.kr 14
 
2.6%
http://public.seocholib.or.kr/docpub 14
 
2.6%
Other values (210) 303
55.2%
2024-05-11T14:28:43.803753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1396
 
9.6%
/ 1177
 
8.1%
o 1017
 
7.0%
t 948
 
6.5%
r 779
 
5.3%
w 688
 
4.7%
l 686
 
4.7%
n 682
 
4.7%
a 630
 
4.3%
i 616
 
4.2%
Other values (42) 5944
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11150
76.6%
Other Punctuation 3006
 
20.6%
Decimal Number 215
 
1.5%
Other Letter 116
 
0.8%
Math Symbol 42
 
0.3%
Dash Punctuation 17
 
0.1%
Connector Punctuation 9
 
0.1%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1017
 
9.1%
t 948
 
8.5%
r 779
 
7.0%
w 688
 
6.2%
l 686
 
6.2%
n 682
 
6.1%
a 630
 
5.7%
i 616
 
5.5%
g 538
 
4.8%
p 528
 
4.7%
Other values (16) 4038
36.2%
Decimal Number
ValueCountFrequency (%)
1 49
22.8%
2 36
16.7%
0 24
11.2%
4 24
11.2%
5 22
10.2%
7 14
 
6.5%
3 13
 
6.0%
9 12
 
5.6%
8 12
 
5.6%
6 9
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
G 2
25.0%
L 1
12.5%
P 1
12.5%
O 1
12.5%
D 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 1396
46.4%
/ 1177
39.2%
: 390
 
13.0%
? 42
 
1.4%
& 1
 
< 0.1%
Other Letter
ValueCountFrequency (%)
음 58
50.0%
없 58
50.0%
Math Symbol
ValueCountFrequency (%)
= 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11158
76.6%
Common 3289
 
22.6%
Hangul 116
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1017
 
9.1%
t 948
 
8.5%
r 779
 
7.0%
w 688
 
6.2%
l 686
 
6.1%
n 682
 
6.1%
a 630
 
5.6%
i 616
 
5.5%
g 538
 
4.8%
p 528
 
4.7%
Other values (22) 4046
36.3%
Common
ValueCountFrequency (%)
. 1396
42.4%
/ 1177
35.8%
: 390
 
11.9%
1 49
 
1.5%
? 42
 
1.3%
= 42
 
1.3%
2 36
 
1.1%
0 24
 
0.7%
4 24
 
0.7%
5 22
 
0.7%
Other values (8) 87
 
2.6%
Hangul
ValueCountFrequency (%)
음 58
50.0%
없 58
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14447
99.2%
Hangul 116
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1396
 
9.7%
/ 1177
 
8.1%
o 1017
 
7.0%
t 948
 
6.6%
r 779
 
5.4%
w 688
 
4.8%
l 686
 
4.7%
n 682
 
4.7%
a 630
 
4.4%
i 616
 
4.3%
Other values (40) 5828
40.3%
Hangul
ValueCountFrequency (%)
음 58
50.0%
없 58
50.0%

운영시간
Text

Distinct450
Distinct (%)40.5%
Missing10
Missing (%)0.9%
Memory size8.9 KiB
2024-05-11T14:28:44.156850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length80
Mean length27.111511
Min length1

Characters and Unicode

Total characters30148
Distinct characters63
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)32.0%

Sample

1st row휴관중
2nd row휴관중
3rd row휴관중
4th row화,수,목,금 : 10:00~12:00
5th row평일 : 10:00~18:00, 주말 : 10:00~16:00
ValueCountFrequency (%)
1866
31.9%
평일 942
16.1%
주말 761
13.0%
휴관일 393
 
6.7%
09:00~18:00 232
 
4.0%
10:00~17:00 188
 
3.2%
10:00~18:00 171
 
2.9%
13:00~17:00 85
 
1.5%
휴관중 77
 
1.3%
09:00~17:00 62
 
1.1%
Other values (257) 1080
18.4%
2024-05-11T14:28:44.816409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7095
23.5%
: 4991
16.6%
4753
15.8%
1 2608
 
8.7%
~ 1630
 
5.4%
일 1467
 
4.9%
, 951
 
3.2%
평 949
 
3.1%
주 764
 
2.5%
말 762
 
2.5%
Other values (53) 4178
13.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12210
40.5%
Other Punctuation 5955
19.8%
Other Letter 5519
18.3%
Space Separator 4753
 
15.8%
Math Symbol 1630
 
5.4%
Open Punctuation 39
 
0.1%
Close Punctuation 39
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1467
26.6%
평 949
17.2%
주 764
13.8%
말 762
13.8%
휴 474
 
8.6%
관 473
 
8.6%
토 151
 
2.7%
금 91
 
1.6%
중 77
 
1.4%
월 75
 
1.4%
Other values (34) 236
 
4.3%
Decimal Number
ValueCountFrequency (%)
0 7095
58.1%
1 2608
 
21.4%
8 571
 
4.7%
9 515
 
4.2%
7 489
 
4.0%
3 374
 
3.1%
2 237
 
1.9%
4 163
 
1.3%
6 87
 
0.7%
5 71
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 4991
83.8%
, 951
 
16.0%
? 10
 
0.2%
/ 3
 
0.1%
Space Separator
ValueCountFrequency (%)
4753
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1630
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24629
81.7%
Hangul 5519
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1467
26.6%
평 949
17.2%
주 764
13.8%
말 762
13.8%
휴 474
 
8.6%
관 473
 
8.6%
토 151
 
2.7%
금 91
 
1.6%
중 77
 
1.4%
월 75
 
1.4%
Other values (34) 236
 
4.3%
Common
ValueCountFrequency (%)
0 7095
28.8%
: 4991
20.3%
4753
19.3%
1 2608
 
10.6%
~ 1630
 
6.6%
, 951
 
3.9%
8 571
 
2.3%
9 515
 
2.1%
7 489
 
2.0%
3 374
 
1.5%
Other values (9) 652
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24629
81.7%
Hangul 5519
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7095
28.8%
: 4991
20.3%
4753
19.3%
1 2608
 
10.6%
~ 1630
 
6.6%
, 951
 
3.9%
8 571
 
2.3%
9 515
 
2.1%
7 489
 
2.0%
3 374
 
1.5%
Other values (9) 652
 
2.6%
Hangul
ValueCountFrequency (%)
일 1467
26.6%
평 949
17.2%
주 764
13.8%
말 762
13.8%
휴 474
 
8.6%
관 473
 
8.6%
토 151
 
2.7%
금 91
 
1.6%
중 77
 
1.4%
월 75
 
1.4%
Other values (34) 236
 
4.3%

정기 휴관일
Text

MISSING 

Distinct172
Distinct (%)15.7%
Missing26
Missing (%)2.3%
Memory size8.9 KiB
2024-05-11T14:28:45.145892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.0812044
Min length1

Characters and Unicode

Total characters8857
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)8.8%

Sample

1st row휴관중
2nd row휴관중
3rd row휴관중
4th row매주 월요일, 토요일
5th row일요일, 공휴일
ValueCountFrequency (%)
일요일 298
15.1%
법정공휴일 260
13.2%
공휴일 141
 
7.2%
매주 132
 
6.7%
토 116
 
5.9%
일 112
 
5.7%
토요일 95
 
4.8%
토,일요일 92
 
4.7%
월요일 89
 
4.5%
토,일,법정공휴일 78
 
4.0%
Other values (103) 559
28.3%
2024-05-11T14:28:45.767775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2327
26.3%
, 1172
13.2%
876
 
9.9%
요 870
 
9.8%
휴 712
 
8.0%
공 614
 
6.9%
토 556
 
6.3%
정 385
 
4.3%
법 385
 
4.3%
주 176
 
2.0%
Other values (56) 784
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6755
76.3%
Other Punctuation 1188
 
13.4%
Space Separator 876
 
9.9%
Decimal Number 23
 
0.3%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2327
34.4%
요 870
 
12.9%
휴 712
 
10.5%
공 614
 
9.1%
토 556
 
8.2%
정 385
 
5.7%
법 385
 
5.7%
주 176
 
2.6%
월 158
 
2.3%
매 152
 
2.3%
Other values (41) 420
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 10
43.5%
2 8
34.8%
4 2
 
8.7%
7 1
 
4.3%
3 1
 
4.3%
8 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 1172
98.7%
. 12
 
1.0%
? 3
 
0.3%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
876
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6755
76.3%
Common 2102
 
23.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2327
34.4%
요 870
 
12.9%
휴 712
 
10.5%
공 614
 
9.1%
토 556
 
8.2%
정 385
 
5.7%
법 385
 
5.7%
주 176
 
2.6%
월 158
 
2.3%
매 152
 
2.3%
Other values (41) 420
 
6.2%
Common
ValueCountFrequency (%)
, 1172
55.8%
876
41.7%
. 12
 
0.6%
1 10
 
0.5%
2 8
 
0.4%
( 6
 
0.3%
) 6
 
0.3%
? 3
 
0.1%
4 2
 
0.1%
~ 2
 
0.1%
Other values (5) 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6755
76.3%
ASCII 2102
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2327
34.4%
요 870
 
12.9%
휴 712
 
10.5%
공 614
 
9.1%
토 556
 
8.2%
정 385
 
5.7%
법 385
 
5.7%
주 176
 
2.6%
월 158
 
2.3%
매 152
 
2.3%
Other values (41) 420
 
6.2%
ASCII
ValueCountFrequency (%)
, 1172
55.8%
876
41.7%
. 12
 
0.6%
1 10
 
0.5%
2 8
 
0.4%
( 6
 
0.3%
) 6
 
0.3%
? 3
 
0.1%
4 2
 
0.1%
~ 2
 
0.1%
Other values (5) 5
 
0.2%

도서관 구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
2
1122 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 1122
100.0%

Length

2024-05-11T14:28:46.145161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:46.311198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1122
100.0%

도서관 구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.9 KiB
작은도서관
1122 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
작은도서관 1122
100.0%

Length

2024-05-11T14:28:46.469915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:46.616407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
작은도서관 1122
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct1094
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.549713
Minimum37.439297
Maximum37.688162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:28:46.796902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.439297
5-th percentile37.469616
Q137.500112
median37.548498
Q337.590851
95-th percentile37.647962
Maximum37.688162
Range0.2488651
Interquartile range (IQR)0.09073844

Descriptive statistics

Standard deviation0.056271785
Coefficient of variation (CV)0.0014985943
Kurtosis-0.84108181
Mean37.549713
Median Absolute Deviation (MAD)0.046377312
Skewness0.27118516
Sum42130.778
Variance0.0031665138
MonotonicityNot monotonic
2024-05-11T14:28:47.035365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.47176041 5
 
0.4%
37.55000134 3
 
0.3%
37.56665973 3
 
0.3%
37.64188769 2
 
0.2%
37.45898011 2
 
0.2%
37.49217125 2
 
0.2%
37.50622213 2
 
0.2%
37.59456867 2
 
0.2%
37.57174834 2
 
0.2%
37.54680952 2
 
0.2%
Other values (1084) 1097
97.8%
ValueCountFrequency (%)
37.4392969 1
0.1%
37.44810272 1
0.1%
37.4487939 1
0.1%
37.4492016 1
0.1%
37.45114107 1
0.1%
37.45114196704 1
0.1%
37.45229932 1
0.1%
37.45239622 1
0.1%
37.4525952686287 1
0.1%
37.45309891 2
0.2%
ValueCountFrequency (%)
37.688162 1
0.1%
37.68493479 1
0.1%
37.6848287 1
0.1%
37.68298934 1
0.1%
37.6810801 1
0.1%
37.6799248 1
0.1%
37.6797059391084 1
0.1%
37.67869091 1
0.1%
37.67291209 1
0.1%
37.67114693 1
0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct1093
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98887
Minimum126.79887
Maximum127.18084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.0 KiB
2024-05-11T14:28:47.292129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.79887
5-th percentile126.83164
Q1126.91211
median127.0036
Q3127.06528
95-th percentile127.13971
Maximum127.18084
Range0.38196504
Interquartile range (IQR)0.15317754

Descriptive statistics

Standard deviation0.095606097
Coefficient of variation (CV)0.00075286992
Kurtosis-1.0352474
Mean126.98887
Median Absolute Deviation (MAD)0.0775739
Skewness-0.062376061
Sum142481.51
Variance0.0091405259
MonotonicityNot monotonic
2024-05-11T14:28:47.585268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0881053 5
 
0.4%
127.1384372 3
 
0.3%
127.098123 3
 
0.3%
126.9787103 2
 
0.2%
126.9824604 2
 
0.2%
126.9089166 2
 
0.2%
126.8344231 2
 
0.2%
126.9061848 2
 
0.2%
126.9529989 2
 
0.2%
127.0152428 2
 
0.2%
Other values (1083) 1097
97.8%
ValueCountFrequency (%)
126.7988721 1
0.1%
126.8041536 1
0.1%
126.8118064 1
0.1%
126.8136582 1
0.1%
126.814849 1
0.1%
126.815772 1
0.1%
126.8170501 1
0.1%
126.8170781 1
0.1%
126.8175009 1
0.1%
126.8178733 1
0.1%
ValueCountFrequency (%)
127.180837138837 1
0.1%
127.179992858104 1
0.1%
127.178358990921 1
0.1%
127.1764168 1
0.1%
127.176167 1
0.1%
127.1760796 1
0.1%
127.175179201458 1
0.1%
127.174804893718 1
0.1%
127.174085693366 1
0.1%
127.173179836384 1
0.1%

Interactions

2024-05-11T14:28:36.024032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:34.016360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:34.722093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:35.359998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:36.318655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:34.194426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:34.861497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:35.515721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:36.492886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:34.360775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:35.015756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:35.652774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:36.781141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:34.544912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:35.180857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:35.829095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:28:47.781929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 일련번호구 코드구명위도경도
도서관 일련번호1.0000.5630.7050.4020.338
구 코드0.5631.0001.0000.8790.888
구명0.7051.0001.0000.9070.928
위도0.4020.8790.9071.0000.607
경도0.3380.8880.9280.6071.000
2024-05-11T14:28:47.976288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 일련번호구 코드위도경도구명
도서관 일련번호1.000-0.023-0.0080.0250.332
구 코드-0.0231.0000.4800.2680.993
위도-0.0080.4801.0000.1900.605
경도0.0250.2680.1901.0000.658
구명0.3320.9930.6050.6581.000

Missing values

2024-05-11T14:28:37.048229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:28:37.338589image/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.
2024-05-11T14:28:37.891988image/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

도서관 일련번호도서관명구 코드구명주소전화번호홈페이지 URL운영시간정기 휴관일도서관 구분도서관 구분명위도경도
02413BIBLIOTECA8강남구서울특별시 강남구 도산대로 25길 15-4 1층<NA><NA>휴관중휴관중2작은도서관37.52077127.024565
11571LH강남3단지작은도서관8강남구서울특별시 강남구 자곡로3길 2202-459-8700<NA>휴관중휴관중2작은도서관37.469972127.091021
21372신일도서관20중랑구서울특별시 중랑구 상봉로20길 77 신일교회 1층02-6407-6355<NA>휴관중휴관중2작은도서관37.594631127.097519
31848休+밤토리SH작은도서관8강남구서울특별시 강남구 밤고개로26길 50(율현동, 강남한신휴플러스6단지)02-2226-7942http://cafe.naver.com/segok2love화,수,목,금 : 10:00~12:00매주 월요일, 토요일2작은도서관37.470543127.113773
4250꿈마을도서관5관악구서울특별시 관악구 중앙2길 16 2층02-886-3196<NA>평일 : 10:00~18:00, 주말 : 10:00~16:00일요일, 공휴일2작은도서관37.484498126.953989
51283중곡교회작은도서관24광진구서울특별시 광진구 긴고랑로 36길 56 중곡교회 지층 지하1층02-452-4985<NA>화~토 : 11:00~17:00월,일요일2작은도서관37.556962127.09095
61297큐브북카페25구로구서울특별시 구로구 경인로 662, B동 30층 (디큐브시티)02-3667-9001<NA>휴관중휴관중2작은도서관37.508821126.889278
72463와서작은도서관6금천구서울특별시 벚꽃로56길 62 B0102-859-2414<NA>평일 : 14:00~17:00, 주말 : 휴관일토,일,법정공휴일2작은도서관37.464945126.894018
82771강남데시앙파크작은도서관8강남구서울특별시 강남구 헌릉로590길 63 데시앙파크도서관02-451-7070<NA>휴관중휴관중2작은도서관37.461047127.101541
91845강남한신휴플러스8단지작은도서관8강남구서울특별시 강남구 밤고개로27길 20(율현동, 강남한신휴플러스8단지)02-445-9831<NA>휴관중휴관중2작은도서관37.469713127.113016
도서관 일련번호도서관명구 코드구명주소전화번호홈페이지 URL운영시간정기 휴관일도서관 구분도서관 구분명위도경도
11121989장미작은도서관20중랑구서울특별시 중랑구 중랑천로 243070-4209-4306http://smlib.jungnanglib.seoul.kr/small/main.do(하절기)월~일 10:00~21:00(동절기)화~토 10:00~18:00 일,월 : 10:00~19:00첫째, 셋째주 월요일2작은도서관37.606264127.073682
11132838중화 작은도서관20중랑구서울특별시 중랑구 면목로48길 66-602-556-3927<NA>평일 : 월~금 13:00~17:00토,일,공휴일2작은도서관37.581637127.092354
11141688중화어린이도서관20중랑구서울특별시 중랑구 중랑역로3길 28 중화문화복지센터02-2094-1846http://www.jungnanglib.seoul.kr/jklib/index.php?g_page=guide&m_page=guide01평일 : 09:00~18:00, 주말 : 12:00~16:00매주 일요일2작은도서관37.595045127.074709
11152839참기쁨 작은도서관20중랑구서울특별시 중랑구 중랑역로 167<NA><NA>평일 : 월~금 13:00~17:00토,일,공휴일2작은도서관37.608343127.07627
11161900책깨비도서관20중랑구서울특별시 중랑구 용마산로 250-12 용마폭포공원070-4112-1843http://smlib.jungnanglib.seoul.kr/small/main.do평일 : 10:00~18:00, (동절기)10:00~17:00, 주말 : 10:00~18:00, (동절기)10:00~17:00법정공휴일, 혹한기(12~2월)2작은도서관37.57335127.089121
11172639책소리 작은도서관20중랑구서울특별시 중랑구 겸재로 138 2층02-432-4752<NA>평일 : 화~금 13:00~18:00, 주말 : 11:00~14:00월,공휴일2작은도서관37.587071127.080828
11182640초록도서관20중랑구서울특별시 중랑구 신내로17길 13 2층02-3421-0603<NA>평일 : 월~수 09:30~16:00, 목 09:30~11:30금,토,일요일2작은도서관37.613736127.093021
11192747한양수자인 사가정파크 작은도서관20중랑구서울특별시 중랑구 사가정로72길 26 104동 1층02-496-9866<NA>평일 : 월~금 09:00~21:00, 주말 : 토,일 09:00~21:00연중무휴2작은도서관37.580071127.093431
11202127행복터작은도서관20중랑구서울특별시 중랑구 답십리로81길 35, 샘터공원 내 안전커뮤니티센터02-2094-6133http://smlib.jungnanglib.seoul.kr/small/main.do평일 : 09:00~17:00, 주말 : 토:09:00~17:00일요일, 공휴일2작은도서관37.573103127.083267
11212641휴앤해피 작은도서관20중랑구서울특별시 중랑구 송림길4 3층02-435-2151<NA>평일 : 15:00~20:00, 주말 : 10:00~15:00월,화,수요일2작은도서관37.599213127.093457