Overview

Dataset statistics

Number of variables13
Number of observations206
Missing cells4
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.1 KiB
Average record size in memory109.6 B

Variable types

Numeric4
Text5
Categorical4

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-15480/S/1/datasetView.do

Alerts

도서관 구분 has constant value ""Constant
도서관 구분명 has constant value ""Constant
구 코드 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 구 코드 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 구명High correlation
구명 is highly overall correlated with 구 코드 and 2 other fieldsHigh correlation
도서관 일련번호 has unique valuesUnique
도서관명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-05-11 05:37:07.460859
Analysis finished2024-05-11 05:37:12.189634
Duration4.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관 일련번호
Real number (ℝ)

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1162.0874
Minimum4
Maximum2818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:37:12.310629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14.25
Q159.25
median1071
Q32135.75
95-th percentile2769.5
Maximum2818
Range2814
Interquartile range (IQR)2076.5

Descriptive statistics

Standard deviation1057.5454
Coefficient of variation (CV)0.91003946
Kurtosis-1.4924231
Mean1162.0874
Median Absolute Deviation (MAD)1019.5
Skewness0.26204033
Sum239390
Variance1118402.2
MonotonicityNot monotonic
2024-05-11T14:37:12.537258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1935 1
 
0.5%
1387 1
 
0.5%
1077 1
 
0.5%
1075 1
 
0.5%
2178 1
 
0.5%
30 1
 
0.5%
31 1
 
0.5%
2142 1
 
0.5%
1992 1
 
0.5%
2509 1
 
0.5%
Other values (196) 196
95.1%
ValueCountFrequency (%)
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
11 1
0.5%
12 1
0.5%
13 1
0.5%
ValueCountFrequency (%)
2818 1
0.5%
2817 1
0.5%
2816 1
0.5%
2815 1
0.5%
2814 1
0.5%
2812 1
0.5%
2811 1
0.5%
2809 1
0.5%
2808 1
0.5%
2807 1
0.5%

도서관명
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T14:37:12.863546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.4660194
Min length5

Characters and Unicode

Total characters1744
Distinct characters230
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)100.0%

Sample

1st row강남구립못골도서관
2nd row강남역삼푸른솔도서관
3rd row개포하늘꿈도서관
4th row논현도서관
5th row대치도서관
ValueCountFrequency (%)
강남구립못골도서관 1
 
0.5%
일원라온영어도서관 1
 
0.5%
청수도서관 1
 
0.5%
글빛도서관 1
 
0.5%
달빛마루도서관 1
 
0.5%
석관동미리내도서관 1
 
0.5%
성북길빛도서관 1
 
0.5%
성북정보도서관 1
 
0.5%
아리랑도서관 1
 
0.5%
아리랑어린이도서관 1
 
0.5%
Other values (198) 198
95.2%
2024-05-11T14:37:13.556555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 235
 
13.5%
관 208
 
11.9%
도 206
 
11.8%
구 39
 
2.2%
동 32
 
1.8%
청 31
 
1.8%
립 30
 
1.7%
어 30
 
1.7%
이 29
 
1.7%
린 26
 
1.5%
Other values (220) 878
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1730
99.2%
Decimal Number 8
 
0.5%
Space Separator 3
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 235
 
13.6%
관 208
 
12.0%
도 206
 
11.9%
구 39
 
2.3%
동 32
 
1.8%
청 31
 
1.8%
립 30
 
1.7%
어 30
 
1.7%
이 29
 
1.7%
린 26
 
1.5%
Other values (211) 864
49.9%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
4 2
25.0%
2 1
 
12.5%
1 1
 
12.5%
9 1
 
12.5%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1730
99.2%
Common 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 235
 
13.6%
관 208
 
12.0%
도 206
 
11.9%
구 39
 
2.3%
동 32
 
1.8%
청 31
 
1.8%
립 30
 
1.7%
어 30
 
1.7%
이 29
 
1.7%
린 26
 
1.5%
Other values (211) 864
49.9%
Common
ValueCountFrequency (%)
3 3
21.4%
3
21.4%
4 2
14.3%
) 1
 
7.1%
( 1
 
7.1%
2 1
 
7.1%
. 1
 
7.1%
1 1
 
7.1%
9 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1730
99.2%
ASCII 14
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 235
 
13.6%
관 208
 
12.0%
도 206
 
11.9%
구 39
 
2.3%
동 32
 
1.8%
청 31
 
1.8%
립 30
 
1.7%
어 30
 
1.7%
이 29
 
1.7%
린 26
 
1.5%
Other values (211) 864
49.9%
ASCII
ValueCountFrequency (%)
3 3
21.4%
3
21.4%
4 2
14.3%
) 1
 
7.1%
( 1
 
7.1%
2 1
 
7.1%
. 1
 
7.1%
1 1
 
7.1%
9 1
 
7.1%

구 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.194175
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:37:13.793317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median13
Q319
95-th percentile25
Maximum25
Range24
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.3710816
Coefficient of variation (CV)0.55866181
Kurtosis-1.2311523
Mean13.194175
Median Absolute Deviation (MAD)6
Skewness-0.0054585347
Sum2718
Variance54.332844
MonotonicityNot monotonic
2024-05-11T14:37:14.094165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 16
 
7.8%
19 13
 
6.3%
9 12
 
5.8%
25 12
 
5.8%
10 10
 
4.9%
2 10
 
4.9%
1 9
 
4.4%
22 9
 
4.4%
23 9
 
4.4%
18 9
 
4.4%
Other values (15) 97
47.1%
ValueCountFrequency (%)
1 9
4.4%
2 10
4.9%
3 6
 
2.9%
4 8
3.9%
5 5
 
2.4%
6 4
 
1.9%
7 9
4.4%
8 16
7.8%
9 12
5.8%
10 10
4.9%
ValueCountFrequency (%)
25 12
5.8%
24 7
3.4%
23 9
4.4%
22 9
4.4%
21 7
3.4%
20 5
 
2.4%
19 13
6.3%
18 9
4.4%
17 9
4.4%
16 8
3.9%

구명
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
강남구
16 
성북구
 
13
구로구
 
12
송파구
 
12
강동구
 
10
Other values (20)
143 

Length

Max length4
Median length3
Mean length3.0533981
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남구 16
 
7.8%
성북구 13
 
6.3%
구로구 12
 
5.8%
송파구 12
 
5.8%
강동구 10
 
4.9%
양천구 10
 
4.9%
종로구 9
 
4.4%
노원구 9
 
4.4%
동대문구 9
 
4.4%
서초구 9
 
4.4%
Other values (15) 97
47.1%

Length

2024-05-11T14:37:14.335969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남구 16
 
7.8%
성북구 13
 
6.3%
구로구 12
 
5.8%
송파구 12
 
5.8%
강동구 10
 
4.9%
양천구 10
 
4.9%
종로구 9
 
4.4%
노원구 9
 
4.4%
동대문구 9
 
4.4%
서초구 9
 
4.4%
Other values (15) 97
47.1%

주소
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-05-11T14:37:14.945638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length22.378641
Min length12

Characters and Unicode

Total characters4610
Distinct characters250
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

Unique206 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 자곡로 116
2nd row서울특별시 강남구 테헤란로8길 36. 4층
3rd row서울특별시 강남구 개포로 110길 54
4th row서울특별시 강남구 학동로43길 17(논현동) 논현2동주민센터 6층
5th row서울특별시 강남구 삼성로 212 은마아파트 복지상가 2층 215호
ValueCountFrequency (%)
서울특별시 205
 
21.8%
강남구 16
 
1.7%
성북구 13
 
1.4%
송파구 12
 
1.3%
구로구 12
 
1.3%
양천구 10
 
1.1%
도봉구 9
 
1.0%
서초구 9
 
1.0%
동대문구 9
 
1.0%
강서구 9
 
1.0%
Other values (459) 635
67.6%
2024-05-11T14:37:15.852092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
735
 
15.9%
서 243
 
5.3%
로 225
 
4.9%
구 225
 
4.9%
시 214
 
4.6%
울 210
 
4.6%
별 205
 
4.4%
특 205
 
4.4%
1 164
 
3.6%
길 121
 
2.6%
Other values (240) 2063
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2934
63.6%
Decimal Number 803
 
17.4%
Space Separator 735
 
15.9%
Open Punctuation 45
 
1.0%
Close Punctuation 45
 
1.0%
Dash Punctuation 29
 
0.6%
Other Punctuation 12
 
0.3%
Uppercase Letter 4
 
0.1%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 243
 
8.3%
로 225
 
7.7%
구 225
 
7.7%
시 214
 
7.3%
울 210
 
7.2%
별 205
 
7.0%
특 205
 
7.0%
길 121
 
4.1%
동 113
 
3.9%
강 46
 
1.6%
Other values (221) 1127
38.4%
Decimal Number
ValueCountFrequency (%)
1 164
20.4%
2 106
13.2%
3 93
11.6%
4 84
10.5%
5 74
9.2%
7 69
8.6%
6 64
 
8.0%
0 60
 
7.5%
9 50
 
6.2%
8 39
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
. 1
 
8.3%
? 1
 
8.3%
Space Separator
ValueCountFrequency (%)
735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2934
63.6%
Common 1672
36.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 243
 
8.3%
로 225
 
7.7%
구 225
 
7.7%
시 214
 
7.3%
울 210
 
7.2%
별 205
 
7.0%
특 205
 
7.0%
길 121
 
4.1%
동 113
 
3.9%
강 46
 
1.6%
Other values (221) 1127
38.4%
Common
ValueCountFrequency (%)
735
44.0%
1 164
 
9.8%
2 106
 
6.3%
3 93
 
5.6%
4 84
 
5.0%
5 74
 
4.4%
7 69
 
4.1%
6 64
 
3.8%
0 60
 
3.6%
9 50
 
3.0%
Other values (8) 173
 
10.3%
Latin
ValueCountFrequency (%)
B 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2934
63.6%
ASCII 1676
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
735
43.9%
1 164
 
9.8%
2 106
 
6.3%
3 93
 
5.5%
4 84
 
5.0%
5 74
 
4.4%
7 69
 
4.1%
6 64
 
3.8%
0 60
 
3.6%
9 50
 
3.0%
Other values (9) 177
 
10.6%
Hangul
ValueCountFrequency (%)
서 243
 
8.3%
로 225
 
7.7%
구 225
 
7.7%
시 214
 
7.3%
울 210
 
7.2%
별 205
 
7.0%
특 205
 
7.0%
길 121
 
4.1%
동 113
 
3.9%
강 46
 
1.6%
Other values (221) 1127
38.4%

전화번호
Text

Distinct205
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-05-11T14:37:16.304106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length11.721951
Min length9

Characters and Unicode

Total characters2403
Distinct characters16
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)100.0%

Sample

1st row02-459-5522
2nd row02-2051-1178
3rd row02-451-1511
4th row02-3443-7650
5th row02-565-6666
ValueCountFrequency (%)
02-459-5522 1
 
0.5%
02-2204-6470 1
 
0.5%
02-6906-0559 1
 
0.5%
02-911-0993 1
 
0.5%
02-960-5067 1
 
0.5%
02-6949-0031 1
 
0.5%
02-962-1081 1
 
0.5%
02-3291-4990 1
 
0.5%
02-3291-4992 1
 
0.5%
02-6949-1553 1
 
0.5%
Other values (197) 197
95.2%
2024-05-11T14:37:16.952502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 434
18.1%
- 414
17.2%
2 400
16.6%
9 171
 
7.1%
3 158
 
6.6%
4 151
 
6.3%
5 145
 
6.0%
1 144
 
6.0%
6 139
 
5.8%
7 124
 
5.2%
Other values (6) 123
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1974
82.1%
Dash Punctuation 414
 
17.2%
Math Symbol 10
 
0.4%
Other Punctuation 3
 
0.1%
Space Separator 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 434
22.0%
2 400
20.3%
9 171
 
8.7%
3 158
 
8.0%
4 151
 
7.6%
5 145
 
7.3%
1 144
 
7.3%
6 139
 
7.0%
7 124
 
6.3%
8 108
 
5.5%
Other Punctuation
ValueCountFrequency (%)
? 1
33.3%
, 1
33.3%
. 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 414
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 434
18.1%
- 414
17.2%
2 400
16.6%
9 171
 
7.1%
3 158
 
6.6%
4 151
 
6.3%
5 145
 
6.0%
1 144
 
6.0%
6 139
 
5.8%
7 124
 
5.2%
Other values (6) 123
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 434
18.1%
- 414
17.2%
2 400
16.6%
9 171
 
7.1%
3 158
 
6.6%
4 151
 
6.3%
5 145
 
6.0%
1 144
 
6.0%
6 139
 
5.8%
7 124
 
5.2%
Other values (6) 123
 
5.1%

홈페이지 URL
Text

Distinct120
Distinct (%)58.8%
Missing2
Missing (%)1.0%
Memory size1.7 KiB
2024-05-11T14:37:17.287483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length26.867647
Min length18

Characters and Unicode

Total characters5481
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)49.5%

Sample

1st rowhttp://library.gangnam.go.kr/mglib
2nd rowhttps://library.gangnam.go.kr/ysplib/index.do
3rd rowhttps://library.gangnam.go.kr/hnkklib/
4th rowhttps://library.gangnam.go.kr/nhlib
5th rowhttps://library.gangnam.go.kr/dchlib/index.do
ValueCountFrequency (%)
http://lib.guro.go.kr 10
 
4.9%
http://www.splib.or.kr 10
 
4.9%
http://lib.yangcheon.or.kr 9
 
4.4%
http://www.l4d.or.kr 8
 
3.9%
http://lib.gangseo.seoul.kr 8
 
3.9%
http://www.unilib.dobong.kr 8
 
3.9%
http://lib.dongjak.go.kr 7
 
3.4%
http://www.gwangjinlib.seoul.kr 7
 
3.4%
https://www.junggulib.or.kr 7
 
3.4%
http://www.nowonlib.kr 7
 
3.4%
Other values (105) 124
60.5%
2024-05-11T14:37:17.878241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 617
 
11.3%
/ 517
 
9.4%
t 401
 
7.3%
r 361
 
6.6%
w 335
 
6.1%
o 316
 
5.8%
l 281
 
5.1%
i 258
 
4.7%
b 257
 
4.7%
g 235
 
4.3%
Other values (32) 1903
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4123
75.2%
Other Punctuation 1331
 
24.3%
Decimal Number 13
 
0.2%
Uppercase Letter 12
 
0.2%
Space Separator 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 401
 
9.7%
r 361
 
8.8%
w 335
 
8.1%
o 316
 
7.7%
l 281
 
6.8%
i 258
 
6.3%
b 257
 
6.2%
g 235
 
5.7%
p 234
 
5.7%
h 232
 
5.6%
Other values (14) 1213
29.4%
Uppercase Letter
ValueCountFrequency (%)
S 3
25.0%
D 2
16.7%
C 1
 
8.3%
G 1
 
8.3%
H 1
 
8.3%
Y 1
 
8.3%
B 1
 
8.3%
R 1
 
8.3%
K 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 617
46.4%
/ 517
38.8%
: 196
 
14.7%
, 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 9
69.2%
1 2
 
15.4%
0 1
 
7.7%
9 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4135
75.4%
Common 1346
 
24.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 401
 
9.7%
r 361
 
8.7%
w 335
 
8.1%
o 316
 
7.6%
l 281
 
6.8%
i 258
 
6.2%
b 257
 
6.2%
g 235
 
5.7%
p 234
 
5.7%
h 232
 
5.6%
Other values (23) 1225
29.6%
Common
ValueCountFrequency (%)
. 617
45.8%
/ 517
38.4%
: 196
 
14.6%
4 9
 
0.7%
1 2
 
0.1%
2
 
0.1%
0 1
 
0.1%
, 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5481
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 617
 
11.3%
/ 517
 
9.4%
t 401
 
7.3%
r 361
 
6.6%
w 335
 
6.1%
o 316
 
5.8%
l 281
 
5.1%
i 258
 
4.7%
b 257
 
4.7%
g 235
 
4.3%
Other values (32) 1903
34.7%

운영시간
Categorical

Distinct50
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
평일 : 09:00~20:00, 주말 : 09:00~17:00
35 
평일 : 09:00~22:00, 주말 : 09:00~18:00
31 
평일 : 09:00~22:00, 주말 : 09:00~17:00
18 
평일 : 09:00~18:00, 주말 : 09:00~18:00
18 
평일 : 09:00~18:00, 주말 : 09:00~17:00
14 
Other values (45)
90 

Length

Max length76
Median length34
Mean length34.990291
Min length4

Unique

Unique32 ?
Unique (%)15.5%

Sample

1st row평일 : 09:00~22:00, 주말 : 09:00~22:00
2nd row평일 : 09:00~18:00, 주말 : 09:00~17:00
3rd row평일 : 09:00~22:00, 주말 : 09:00~17:00
4th row평일 : 09:00~22:00, 주말 : 09:00~17:00
5th row평일 : 09:00~21:00. 주말 : 09:00~17:00

Common Values

ValueCountFrequency (%)
평일 : 09:00~20:00, 주말 : 09:00~17:00 35
17.0%
평일 : 09:00~22:00, 주말 : 09:00~18:00 31
15.0%
평일 : 09:00~22:00, 주말 : 09:00~17:00 18
 
8.7%
평일 : 09:00~18:00, 주말 : 09:00~18:00 18
 
8.7%
평일 : 09:00~18:00, 주말 : 09:00~17:00 14
 
6.8%
평일 : 09:00~22:00, 주말 : 09:00~22:00 11
 
5.3%
평일 : 07:00~22:00, 주말 : 07:00~22:00 9
 
4.4%
평일 및 토요일 : 09:00~22:00, 일요일 : 09:00~18:00 8
 
3.9%
평일 : 09:00~21:00, 주말 : 09:00~18:00 4
 
1.9%
평일 : 09:00~20:00, 주말 : 09:00~18:00 4
 
1.9%
Other values (40) 54
26.2%

Length

2024-05-11T14:37:18.168416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
394
31.6%
평일 198
15.9%
주말 185
14.8%
09:00~18:00 115
 
9.2%
09:00~22:00 88
 
7.1%
09:00~17:00 81
 
6.5%
09:00~20:00 54
 
4.3%
07:00~22:00 22
 
1.8%
09:00~21:00 11
 
0.9%
10:00~18:00 8
 
0.6%
Other values (41) 91
 
7.3%

정기 휴관일
Text

Distinct62
Distinct (%)30.2%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2024-05-11T14:37:18.525586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length16.678049
Min length5

Characters and Unicode

Total characters3419
Distinct characters65
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)15.6%

Sample

1st row매주 화요일 및 법정공휴일
2nd row매주 화요일 및 법정 공휴일
3rd row매주 화요일 및 법정공휴일
4th row매주 화요일 및 법정공휴일
5th row매주 화요일 및 법정공휴일
ValueCountFrequency (%)
매주 140
16.3%
및 133
15.4%
월요일 126
14.6%
법정공휴일 117
13.6%
공휴일 61
 
7.1%
법정 58
 
6.7%
화요일 22
 
2.6%
매월 19
 
2.2%
금요일 15
 
1.7%
일요일 13
 
1.5%
Other values (52) 157
18.2%
2024-05-11T14:37:19.397553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
657
19.2%
일 470
13.7%
요 217
 
6.3%
휴 213
 
6.2%
공 205
 
6.0%
정 199
 
5.8%
법 196
 
5.7%
매 177
 
5.2%
주 176
 
5.1%
월 174
 
5.1%
Other values (55) 735
21.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2499
73.1%
Space Separator 657
 
19.2%
Other Punctuation 143
 
4.2%
Decimal Number 78
 
2.3%
Close Punctuation 21
 
0.6%
Open Punctuation 21
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 470
18.8%
요 217
8.7%
휴 213
8.5%
공 205
8.2%
정 199
8.0%
법 196
7.8%
매 177
 
7.1%
주 176
 
7.0%
월 174
 
7.0%
및 142
 
5.7%
Other values (43) 330
13.2%
Decimal Number
ValueCountFrequency (%)
1 27
34.6%
2 19
24.4%
4 14
17.9%
3 10
 
12.8%
5 6
 
7.7%
8 2
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 118
82.5%
/ 22
 
15.4%
. 3
 
2.1%
Space Separator
ValueCountFrequency (%)
657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2499
73.1%
Common 920
 
26.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 470
18.8%
요 217
8.7%
휴 213
8.5%
공 205
8.2%
정 199
8.0%
법 196
7.8%
매 177
 
7.1%
주 176
 
7.0%
월 174
 
7.0%
및 142
 
5.7%
Other values (43) 330
13.2%
Common
ValueCountFrequency (%)
657
71.4%
, 118
 
12.8%
1 27
 
2.9%
/ 22
 
2.4%
) 21
 
2.3%
( 21
 
2.3%
2 19
 
2.1%
4 14
 
1.5%
3 10
 
1.1%
5 6
 
0.7%
Other values (2) 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2499
73.1%
ASCII 920
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
657
71.4%
, 118
 
12.8%
1 27
 
2.9%
/ 22
 
2.4%
) 21
 
2.3%
( 21
 
2.3%
2 19
 
2.1%
4 14
 
1.5%
3 10
 
1.1%
5 6
 
0.7%
Other values (2) 5
 
0.5%
Hangul
ValueCountFrequency (%)
일 470
18.8%
요 217
8.7%
휴 213
8.5%
공 205
8.2%
정 199
8.0%
법 196
7.8%
매 177
 
7.1%
주 176
 
7.0%
월 174
 
7.0%
및 142
 
5.7%
Other values (43) 330
13.2%

도서관 구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
206 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 206
100.0%

Length

2024-05-11T14:37:19.680484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:19.849443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 206
100.0%

도서관 구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
공공도서관
206 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공도서관 206
100.0%

Length

2024-05-11T14:37:20.017265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:20.201093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공도서관 206
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct203
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.552132
Minimum37.44963
Maximum37.687667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:37:20.390209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.44963
5-th percentile37.480918
Q137.505597
median37.550086
Q337.58864
95-th percentile37.645161
Maximum37.687667
Range0.23803702
Interquartile range (IQR)0.083042104

Descriptive statistics

Standard deviation0.053351488
Coefficient of variation (CV)0.0014207313
Kurtosis-0.64007537
Mean37.552132
Median Absolute Deviation (MAD)0.043087345
Skewness0.36868861
Sum7735.7393
Variance0.0028463813
MonotonicityNot monotonic
2024-05-11T14:37:20.607939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.60266318 2
 
1.0%
37.50531416 2
 
1.0%
37.581578271361 2
 
1.0%
37.47153836 1
 
0.5%
37.60474095 1
 
0.5%
37.6037552097988 1
 
0.5%
37.60505817 1
 
0.5%
37.6134739565291 1
 
0.5%
37.6099592726924 1
 
0.5%
37.60497334 1
 
0.5%
Other values (193) 193
93.7%
ValueCountFrequency (%)
37.4496304162832 1
0.5%
37.45200429 1
0.5%
37.45690514 1
0.5%
37.4675797 1
0.5%
37.46759816 1
0.5%
37.47153836 1
0.5%
37.4733061524019 1
0.5%
37.47349155 1
0.5%
37.473679184261 1
0.5%
37.4784386 1
0.5%
ValueCountFrequency (%)
37.6876674374375 1
0.5%
37.68080449 1
0.5%
37.67852767 1
0.5%
37.6621577 1
0.5%
37.66109973 1
0.5%
37.6602917907669 1
0.5%
37.65904725 1
0.5%
37.65795038 1
0.5%
37.65253218 1
0.5%
37.65243153 1
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct203
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.9978
Minimum126.81366
Maximum127.17391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-05-11T14:37:20.833945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.81366
5-th percentile126.84994
Q1126.92522
median127.01421
Q3127.0606
95-th percentile127.1339
Maximum127.17391
Range0.3602491
Interquartile range (IQR)0.13537793

Descriptive statistics

Standard deviation0.086809066
Coefficient of variation (CV)0.0006835478
Kurtosis-0.85768943
Mean126.9978
Median Absolute Deviation (MAD)0.062810634
Skewness-0.23228603
Sum26161.547
Variance0.0075358139
MonotonicityNot monotonic
2024-05-11T14:37:21.105628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1039257 2
 
1.0%
126.8928724 2
 
1.0%
127.002617935151 2
 
1.0%
127.096582 1
 
0.5%
127.0105829 1
 
0.5%
127.022203675321 1
 
0.5%
127.0309905 1
 
0.5%
127.065492174976 1
 
0.5%
127.026441403711 1
 
0.5%
127.0505857 1
 
0.5%
Other values (193) 193
93.7%
ValueCountFrequency (%)
126.8136582 1
0.5%
126.82471761839 1
0.5%
126.8271748 1
0.5%
126.833817461636 1
0.5%
126.835182 1
0.5%
126.8356052 1
0.5%
126.8400821 1
0.5%
126.8418355 1
0.5%
126.8423739 1
0.5%
126.8456405 1
0.5%
ValueCountFrequency (%)
127.1739073 1
0.5%
127.158039363963 1
0.5%
127.157342546961 1
0.5%
127.1566451 1
0.5%
127.148160430097 1
0.5%
127.146824 1
0.5%
127.146275226611 1
0.5%
127.1439372 1
0.5%
127.1434874 1
0.5%
127.1348515 1
0.5%

Interactions

2024-05-11T14:37:10.650167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:08.715095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:09.392061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:10.033869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:10.825922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:08.866228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:09.559350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:10.190011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:11.014108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:09.012632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:09.718750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:10.339006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:11.191197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:09.175756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:09.856029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:10.480606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:37:21.271450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 일련번호구 코드구명운영시간정기 휴관일위도경도
도서관 일련번호1.0000.3230.5720.1910.4610.2370.312
구 코드0.3231.0001.0000.8500.8880.9060.876
구명0.5721.0001.0000.9380.9690.9330.925
운영시간0.1910.8500.9381.0000.9600.6460.642
정기 휴관일0.4610.8880.9690.9601.0000.8310.722
위도0.2370.9060.9330.6460.8311.0000.441
경도0.3120.8760.9250.6420.7220.4411.000
2024-05-11T14:37:21.395954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간구명
운영시간1.0000.472
구명0.4721.000
2024-05-11T14:37:21.517149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관 일련번호구 코드위도경도구명운영시간
도서관 일련번호1.0000.020-0.0380.0440.2470.052
구 코드0.0201.0000.5700.2750.9610.427
위도-0.0380.5701.0000.1440.6510.247
경도0.0440.2750.1441.0000.6290.245
구명0.2470.9610.6510.6291.0000.472
운영시간0.0520.4270.2470.2450.4721.000

Missing values

2024-05-11T14:37:11.453265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:37:11.820247image/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.
2024-05-11T14:37:12.076670image/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
01935강남구립못골도서관8강남구서울특별시 강남구 자곡로 11602-459-5522http://library.gangnam.go.kr/mglib평일 : 09:00~22:00, 주말 : 09:00~22:00매주 화요일 및 법정공휴일1공공도서관37.471538127.096582
11066강남역삼푸른솔도서관8강남구서울특별시 강남구 테헤란로8길 36. 4층02-2051-1178https://library.gangnam.go.kr/ysplib/index.do평일 : 09:00~18:00, 주말 : 09:00~17:00매주 화요일 및 법정 공휴일1공공도서관37.496497127.032027
22815개포하늘꿈도서관8강남구서울특별시 강남구 개포로 110길 5402-451-1511https://library.gangnam.go.kr/hnkklib/평일 : 09:00~22:00, 주말 : 09:00~17:00매주 화요일 및 법정공휴일1공공도서관37.490669127.080357
348논현도서관8강남구서울특별시 강남구 학동로43길 17(논현동) 논현2동주민센터 6층02-3443-7650https://library.gangnam.go.kr/nhlib평일 : 09:00~22:00, 주말 : 09:00~17:00매주 화요일 및 법정공휴일1공공도서관37.517278127.037188
449대치도서관8강남구서울특별시 강남구 삼성로 212 은마아파트 복지상가 2층 215호02-565-6666https://library.gangnam.go.kr/dchlib/index.do평일 : 09:00~21:00. 주말 : 09:00~17:00매주 화요일 및 법정공휴일1공공도서관37.499616127.065915
51402도곡정보문화도서관8강남구서울특별시 강남구 도곡로18길 571644-3227https://library.gangnam.go.kr/dogoklib평일 : 09:00~22:00, 주말 : 09:00~17:00매주 월요일 및 법정공휴일1공공도서관37.48831127.03888
62133못골한옥어린이도서관8강남구서울특별시 강남구 자곡로7길 3?02-2226-5930https://library.gangnam.go.kr/hchildlib/index.do평일 : 09:00~18:00, 주말 : 09:00~17:00매주 월요일 및 법정공휴일1공공도서관37.473306127.099728
721서울특별시교육청강남도서관8강남구서울특별시 강남구 선릉로116길 4502-3448-4741~5https://gnlib.sen.go.kr평일 : 09:00~20:00, 주말 : 09:00~17:001,3주 수요일 및 법정공휴일1공공도서관37.513681127.046837
822서울특별시교육청개포도서관8강남구서울특별시 강남구 선릉로4길 3002-3460-8200https://gplib.sen.go.kr평일 : 09:00~20:00, 주말 : 09:00~17:002,4주 목요일 및 법정공휴일1공공도서관37.48308127.063867
981역삼도서관8강남구서울특별시 강남구 역삼로7길 16, 5층02-508-1139http://library.gangnam.go.kr/yslib평일 : 09:00~22:00, 주말 : 09:00~17:00매주 월요일 및 법정 공휴일1공공도서관37.495373127.033284
도서관 일련번호도서관명구 코드구명주소전화번호홈페이지 URL운영시간정기 휴관일도서관 구분도서관 구분명위도경도
1962768손기정문화도서관15중구서울특별시 중구 손기정로 101-302-2230-2950https://www.junggulib.or.kr/평일 : 09:00~22:00, 주말 : 09:00~22:00매주 월요일 및 법정공휴일(일요일제외)1공공도서관37.555921126.964538
1972618손기정어린이도서관15중구서울특별시 중구 손기정로 10102-2230-2945https://www.junggulib.or.kr/평일 : 09:00~22:00, 주말 : 09:00~18:00매주 월요일 및 법정공휴일(일요일 제외)1공공도서관37.555121126.962554
1982715신당누리도서관15중구서울특별시 중구 다산로 33길 3 1층02-2230-2960https://www.junggulib.or.kr/평일 : 09:00~22:00, 주말 : 09:00~18:00매주 일요일, 법정공휴일1공공도서관37.562019127.014445
199923어울림도서관15중구서울특별시 중구 다산로38길 66-3502-2230-2901https://www.junggulib.or.kr/평일 : 09:00~22:00, 주말 : 09:00~22:00매주 월요일 및 법정공휴일(일요일제외)1공공도서관37.561719127.018928
20069한국학생공공도서관대학문화원(구한국학생도서관)15중구서울특별시 중구 동호로27길 3002-2275-0753http://www.ksplibrary.co.kr/평일 : 07:00~21:00, 주말 : 09:00~21:00설, 추석연휴1공공도서관37.560704127.002151
2012144양원숲속도서관20중랑구서울특별시 중랑구 송림길 172(망우동)02-432-0710http://www.jungnanglib.seoul.kr/ywlib/평일 : 09:00~18:00, 주말 : 토:09:00?17:00, 일:10:00~17:00매주 월요일, 법정공휴일 및 근로자의날(5월1일), 창립기념일(12월1일)1공공도서관37.602663127.103926
20229중랑구립면목정보도서관20중랑구서울특별시 중랑구 면목로 397(면목동)02-432-4123http://www.jungnanglib.seoul.kr/mmlib/평일 : 09:00~22:00(월요일은 09:00~17:00), 주말 : 09:00~17:00매월 쳇째, 셋째 월요일, 법정공휴일 및 근로자의날(5월1일), 창립기념일(12월1일)1공공도서관37.587354127.087554
20328중랑구립정보도서관20중랑구서울특별시 중랑구 신내로15길 197(묵동)02-490-9112~4http://www.jungnanglib.seoul.kr평일 : 09:00~22:00(월요일은 09:00~18:00), 주말 : 09:00~17:00매월 둘째, 넷째 월요일, 법정공휴일 및 근로자의날(5월1일), 창립기념일(8월12일)1공공도서관37.615171127.086906
2042638중랑상봉도서관20중랑구서울특별시 중랑구 동일로114길 10(상봉동)02-2209-0094http://www.jungnanglib.seoul.kr/sblib/index.php평일 : 09:00~22:00(유아어린이자료실 09:00~18:00, 스마트라운지: 09:00~20:00) 주말 : 09:00~17:00매주 월요일, 법정공휴일 및 근로자의날(5월1일), 창립기념일(8월12일)1공공도서관37.593096127.078711
2051078중랑숲어린이도서관20중랑구서울특별시 중랑구 망우로73길 46-1(망우동)02-6235-1150http://www.jungnanglib.seoul.kr/suplib/index.php평일 : 09:00~18:00, 주말 : 09:00~17:00매주 월요일, 법정공휴일 및 근로자의날(5월1일), 창립기념일(12월1일)1공공도서관37.602663127.103926