Overview

Dataset statistics

Number of variables8
Number of observations61
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory67.2 B

Variable types

Numeric1
Text5
Categorical1
DateTime1

Dataset

Description경기도 하남시 작은도서관 현황에 대한 데이터로 도서관명, 장서, 운영요일, 운영시간, 도로명주소, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15105913/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (3.3%) missing valuesMissing
연번 has unique valuesUnique
도서관명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:39:13.120621
Analysis finished2023-12-12 18:39:14.561733
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T03:39:14.692575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-13T03:39:14.971156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

도서관명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T03:39:15.453097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.0983607
Min length2

Characters and Unicode

Total characters311
Distinct characters135
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

Unique61 ?
Unique (%)100.0%

Sample

1st row아낌없이주는나무
2nd row꿈자람
3rd row꿈꾸는 에코
4th row덕풍시장
5th row사랑영어
ValueCountFrequency (%)
푸른 2
 
2.9%
꿈꾸는 2
 
2.9%
아낌없이주는나무 1
 
1.5%
엘에이치꿀단지 1
 
1.5%
lh6단지꿈별 1
 
1.5%
꿈담 1
 
1.5%
하늘꿈 1
 
1.5%
봄날 1
 
1.5%
미사14단지반디 1
 
1.5%
26단지 1
 
1.5%
Other values (56) 56
82.4%
2023-12-13T03:39:16.206657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
6.1%
꿈 13
 
4.2%
사 11
 
3.5%
미 9
 
2.9%
리 8
 
2.6%
지 8
 
2.6%
이 7
 
2.3%
나 6
 
1.9%
스 6
 
1.9%
는 5
 
1.6%
Other values (125) 219
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
87.1%
Space Separator 19
 
6.1%
Uppercase Letter 12
 
3.9%
Decimal Number 8
 
2.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
꿈 13
 
4.8%
사 11
 
4.1%
미 9
 
3.3%
리 8
 
3.0%
지 8
 
3.0%
이 7
 
2.6%
나 6
 
2.2%
스 6
 
2.2%
는 5
 
1.8%
무 5
 
1.8%
Other values (113) 193
71.2%
Uppercase Letter
ValueCountFrequency (%)
L 4
33.3%
H 4
33.3%
D 1
 
8.3%
S 1
 
8.3%
K 1
 
8.3%
I 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 2
25.0%
6 2
25.0%
4 1
 
12.5%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 271
87.1%
Common 28
 
9.0%
Latin 12
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
꿈 13
 
4.8%
사 11
 
4.1%
미 9
 
3.3%
리 8
 
3.0%
지 8
 
3.0%
이 7
 
2.6%
나 6
 
2.2%
스 6
 
2.2%
는 5
 
1.8%
무 5
 
1.8%
Other values (113) 193
71.2%
Common
ValueCountFrequency (%)
19
67.9%
2 3
 
10.7%
1 2
 
7.1%
6 2
 
7.1%
4 1
 
3.6%
, 1
 
3.6%
Latin
ValueCountFrequency (%)
L 4
33.3%
H 4
33.3%
D 1
 
8.3%
S 1
 
8.3%
K 1
 
8.3%
I 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
87.1%
ASCII 40
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
47.5%
L 4
 
10.0%
H 4
 
10.0%
2 3
 
7.5%
1 2
 
5.0%
6 2
 
5.0%
4 1
 
2.5%
D 1
 
2.5%
S 1
 
2.5%
K 1
 
2.5%
Other values (2) 2
 
5.0%
Hangul
ValueCountFrequency (%)
꿈 13
 
4.8%
사 11
 
4.1%
미 9
 
3.3%
리 8
 
3.0%
지 8
 
3.0%
이 7
 
2.6%
나 6
 
2.2%
스 6
 
2.2%
는 5
 
1.8%
무 5
 
1.8%
Other values (113) 193
71.2%

장서(권)
Text

Distinct55
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T03:39:16.609560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0491803
Min length4

Characters and Unicode

Total characters247
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

Unique50 ?
Unique (%)82.0%

Sample

1st row7009
2nd row8922
3rd row7628
4th row5621
5th row3000
ValueCountFrequency (%)
1000 3
 
4.9%
2000 2
 
3.3%
2200 2
 
3.3%
3700 2
 
3.3%
3000 2
 
3.3%
1212 1
 
1.6%
7009 1
 
1.6%
2338 1
 
1.6%
1400 1
 
1.6%
2430 1
 
1.6%
Other values (45) 45
73.8%
2023-12-13T03:39:17.264830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
30.0%
1 30
12.1%
3 30
12.1%
2 24
 
9.7%
4 18
 
7.3%
5 18
 
7.3%
8 17
 
6.9%
9 13
 
5.3%
7 11
 
4.5%
6 11
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 246
99.6%
Other Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
30.1%
1 30
12.2%
3 30
12.2%
2 24
 
9.8%
4 18
 
7.3%
5 18
 
7.3%
8 17
 
6.9%
9 13
 
5.3%
7 11
 
4.5%
6 11
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74
30.0%
1 30
12.1%
3 30
12.1%
2 24
 
9.7%
4 18
 
7.3%
5 18
 
7.3%
8 17
 
6.9%
9 13
 
5.3%
7 11
 
4.5%
6 11
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
30.0%
1 30
12.1%
3 30
12.1%
2 24
 
9.7%
4 18
 
7.3%
5 18
 
7.3%
8 17
 
6.9%
9 13
 
5.3%
7 11
 
4.5%
6 11
 
4.5%

운영요일
Categorical

Distinct12
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
월-토
17 
월-금
17 
화-토
8 
월-일
7 
화-금
3 
Other values (7)
9 

Length

Max length5
Median length3
Mean length3.0983607
Min length3

Unique

Unique6 ?
Unique (%)9.8%

Sample

1st row월-토
2nd row월-금
3rd row월-목,토
4th row월-일
5th row월-토

Common Values

ValueCountFrequency (%)
월-토 17
27.9%
월-금 17
27.9%
화-토 8
13.1%
월-일 7
11.5%
화-금 3
 
4.9%
화-일 3
 
4.9%
월-목,토 1
 
1.6%
화~토 1
 
1.6%
월~금 1
 
1.6%
화-금,일 1
 
1.6%
Other values (2) 2
 
3.3%

Length

2023-12-13T03:39:17.537704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월-토 17
27.9%
월-금 17
27.9%
화-토 8
13.1%
월-일 7
11.5%
화-금 3
 
4.9%
화-일 3
 
4.9%
월-목,토 1
 
1.6%
화~토 1
 
1.6%
월~금 1
 
1.6%
화-금,일 1
 
1.6%
Other values (2) 2
 
3.3%

운영시간
Text

Distinct51
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T03:39:17.920867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length58
Mean length24.114754
Min length11

Characters and Unicode

Total characters1471
Distinct characters33
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

Unique45 ?
Unique (%)73.8%

Sample

1st row월-금 10:00~18:00 / 토 10:00~15:00
2nd row15:00~18:00
3rd row15:00~17:00
4th row09:00~21:00
5th row화-금 10:00~17:00 / 토 10:00~14:00
ValueCountFrequency (%)
30
 
14.3%
토 18
 
8.6%
월-금 16
 
7.6%
화-금 9
 
4.3%
10:00~17:00 8
 
3.8%
10:00~12:00 8
 
3.8%
13:00~17:00 7
 
3.3%
14:00~18:00 7
 
3.3%
14:00~17:00 6
 
2.9%
10:00~16:00 6
 
2.9%
Other values (60) 95
45.2%
2023-12-13T03:39:18.562282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 457
31.1%
: 200
13.6%
1 181
 
12.3%
150
 
10.2%
~ 93
 
6.3%
- 47
 
3.2%
금 31
 
2.1%
7 30
 
2.0%
/ 29
 
2.0%
토 28
 
1.9%
Other values (23) 225
15.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
54.4%
Other Punctuation 247
 
16.8%
Space Separator 150
 
10.2%
Other Letter 132
 
9.0%
Math Symbol 93
 
6.3%
Dash Punctuation 47
 
3.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 31
23.5%
토 28
21.2%
월 26
19.7%
화 15
11.4%
일 9
 
6.8%
목 5
 
3.8%
수 5
 
3.8%
오 4
 
3.0%
전 2
 
1.5%
후 2
 
1.5%
Other values (5) 5
 
3.8%
Decimal Number
ValueCountFrequency (%)
0 457
57.1%
1 181
 
22.6%
7 30
 
3.8%
2 26
 
3.2%
4 26
 
3.2%
9 24
 
3.0%
8 22
 
2.8%
3 18
 
2.2%
6 10
 
1.2%
5 6
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 200
81.0%
/ 29
 
11.7%
, 18
 
7.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Math Symbol
ValueCountFrequency (%)
~ 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1339
91.0%
Hangul 132
 
9.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 457
34.1%
: 200
14.9%
1 181
 
13.5%
150
 
11.2%
~ 93
 
6.9%
- 47
 
3.5%
7 30
 
2.2%
/ 29
 
2.2%
2 26
 
1.9%
4 26
 
1.9%
Other values (8) 100
 
7.5%
Hangul
ValueCountFrequency (%)
금 31
23.5%
토 28
21.2%
월 26
19.7%
화 15
11.4%
일 9
 
6.8%
목 5
 
3.8%
수 5
 
3.8%
오 4
 
3.0%
전 2
 
1.5%
후 2
 
1.5%
Other values (5) 5
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1339
91.0%
Hangul 132
 
9.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 457
34.1%
: 200
14.9%
1 181
 
13.5%
150
 
11.2%
~ 93
 
6.9%
- 47
 
3.5%
7 30
 
2.2%
/ 29
 
2.2%
2 26
 
1.9%
4 26
 
1.9%
Other values (8) 100
 
7.5%
Hangul
ValueCountFrequency (%)
금 31
23.5%
토 28
21.2%
월 26
19.7%
화 15
11.4%
일 9
 
6.8%
목 5
 
3.8%
수 5
 
3.8%
오 4
 
3.0%
전 2
 
1.5%
후 2
 
1.5%
Other values (5) 5
 
3.8%

도로명주소
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T03:39:18.957355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length17.213115
Min length14

Characters and Unicode

Total characters1050
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row경기도 하남시 신장로 156
2nd row경기도 하남시 덕풍남로 11
3rd row경기도 하남시 하남대로 802번길 111
4th row경기도 하남시 수리북로 33
5th row경기도 하남시 더우개로 49
ValueCountFrequency (%)
경기도 61
25.4%
하남시 61
25.4%
감일순환로 6
 
2.5%
감일백제로 5
 
2.1%
미사강변동로 4
 
1.7%
미사강변중앙로 4
 
1.7%
미사강변한강로 3
 
1.2%
미사강변북로 3
 
1.2%
미사강변서로 3
 
1.2%
아리수로 3
 
1.2%
Other values (73) 87
36.2%
2023-12-13T03:39:19.502986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
17.5%
남 66
 
6.3%
하 65
 
6.2%
경 61
 
5.8%
시 61
 
5.8%
로 61
 
5.8%
기 61
 
5.8%
도 61
 
5.8%
1 31
 
3.0%
강 30
 
2.9%
Other values (48) 369
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 692
65.9%
Space Separator 184
 
17.5%
Decimal Number 169
 
16.1%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 66
 
9.5%
하 65
 
9.4%
경 61
 
8.8%
시 61
 
8.8%
로 61
 
8.8%
기 61
 
8.8%
도 61
 
8.8%
강 30
 
4.3%
사 26
 
3.8%
미 26
 
3.8%
Other values (36) 174
25.1%
Decimal Number
ValueCountFrequency (%)
1 31
18.3%
0 28
16.6%
5 25
14.8%
2 19
11.2%
3 14
8.3%
6 14
8.3%
7 14
8.3%
9 10
 
5.9%
8 9
 
5.3%
4 5
 
3.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 692
65.9%
Common 358
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 66
 
9.5%
하 65
 
9.4%
경 61
 
8.8%
시 61
 
8.8%
로 61
 
8.8%
기 61
 
8.8%
도 61
 
8.8%
강 30
 
4.3%
사 26
 
3.8%
미 26
 
3.8%
Other values (36) 174
25.1%
Common
ValueCountFrequency (%)
184
51.4%
1 31
 
8.7%
0 28
 
7.8%
5 25
 
7.0%
2 19
 
5.3%
3 14
 
3.9%
6 14
 
3.9%
7 14
 
3.9%
9 10
 
2.8%
8 9
 
2.5%
Other values (2) 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 692
65.9%
ASCII 358
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
51.4%
1 31
 
8.7%
0 28
 
7.8%
5 25
 
7.0%
2 19
 
5.3%
3 14
 
3.9%
6 14
 
3.9%
7 14
 
3.9%
9 10
 
2.8%
8 9
 
2.5%
Other values (2) 10
 
2.8%
Hangul
ValueCountFrequency (%)
남 66
 
9.5%
하 65
 
9.4%
경 61
 
8.8%
시 61
 
8.8%
로 61
 
8.8%
기 61
 
8.8%
도 61
 
8.8%
강 30
 
4.3%
사 26
 
3.8%
미 26
 
3.8%
Other values (36) 174
25.1%

전화번호
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing2
Missing (%)3.3%
Memory size620.0 B
2023-12-13T03:39:19.855967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.881356
Min length11

Characters and Unicode

Total characters701
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row031-795-5667
2nd row070-8828-1500
3rd row031-777-0530
4th row031-793-0191
5th row031-792-0091
ValueCountFrequency (%)
031-795-5667 1
 
1.6%
031-796-9821 1
 
1.6%
02-478-7800 1
 
1.6%
02-449-8677 1
 
1.6%
031-8027-3542 1
 
1.6%
031-699-8442 1
 
1.6%
031-792-7411 1
 
1.6%
031-795-8421 1
 
1.6%
031-793-9801 1
 
1.6%
031-792-0435 1
 
1.6%
Other values (51) 51
83.6%
2023-12-13T03:39:20.654805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 117
16.7%
0 96
13.7%
7 78
11.1%
1 62
8.8%
9 61
8.7%
3 60
8.6%
2 59
8.4%
8 48
6.8%
4 43
 
6.1%
6 38
 
5.4%
Other values (2) 39
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 582
83.0%
Dash Punctuation 117
 
16.7%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 96
16.5%
7 78
13.4%
1 62
10.7%
9 61
10.5%
3 60
10.3%
2 59
10.1%
8 48
8.2%
4 43
7.4%
6 38
 
6.5%
5 37
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 701
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 117
16.7%
0 96
13.7%
7 78
11.1%
1 62
8.8%
9 61
8.7%
3 60
8.6%
2 59
8.4%
8 48
6.8%
4 43
 
6.1%
6 38
 
5.4%
Other values (2) 39
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 701
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 117
16.7%
0 96
13.7%
7 78
11.1%
1 62
8.8%
9 61
8.7%
3 60
8.6%
2 59
8.4%
8 48
6.8%
4 43
 
6.1%
6 38
 
5.4%
Other values (2) 39
 
5.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2023-08-04 00:00:00
Maximum2023-08-04 00:00:00
2023-12-13T03:39:20.940507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:39:21.163806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T03:39:13.947676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:39:21.349709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도서관명장서(권)운영요일운영시간도로명주소전화번호
연번1.0001.0000.8940.5260.9351.0001.000
도서관명1.0001.0001.0001.0001.0001.0001.000
장서(권)0.8941.0001.0000.8800.8641.0001.000
운영요일0.5261.0000.8801.0000.9961.0001.000
운영시간0.9351.0000.8640.9961.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-13T03:39:21.597992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번운영요일
연번1.0000.261
운영요일0.2611.000

Missing values

2023-12-13T03:39:14.216163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:39:14.480923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번도서관명장서(권)운영요일운영시간도로명주소전화번호데이터기준일자
01아낌없이주는나무7009월-토월-금 10:00~18:00 / 토 10:00~15:00경기도 하남시 신장로 156031-795-56672023-08-04
12꿈자람8922월-금15:00~18:00경기도 하남시 덕풍남로 11070-8828-15002023-08-04
23꿈꾸는 에코7628월-목,토15:00~17:00경기도 하남시 하남대로 802번길 111031-777-05302023-08-04
34덕풍시장5621월-일09:00~21:00경기도 하남시 수리북로 33031-793-01912023-08-04
45사랑영어3000월-토화-금 10:00~17:00 / 토 10:00~14:00경기도 하남시 더우개로 49031-792-00912023-08-04
56꿈꾸는달팽이4800월-토월-금 10:00~18:00 / 토 10:00~14:00경기도 하남시 하남대로 778031-792-62892023-08-04
67미사마루12825월-금월-화,목-금 14:00~18:00 / 수 14:00~20:00경기도 하남시 미사강변한강로 110031-796-64222023-08-04
78미사강변파밀리에6307월-토월-토 14:00~18:00경기도 하남시 아리수로 589031-791-57382023-08-04
89미사12단지푸른숲7329화-토화-금 10:00~16:00 / 토 14:00~18:00경기도 하남시 미사강변동로 177031-796-47572023-08-04
910푸른14950월-토월-금 10:00~18:00 / 토 10:00~16:00경기도 하남시 미사강변대로 165031-795-37972023-08-04
연번도서관명장서(권)운영요일운영시간도로명주소전화번호데이터기준일자
5152꿈꾸는 힐스4308월-금09:00-14:00경기도 하남시 감일백제로 120031-489-48962023-08-04
5253꿈나무5000월-금09:00~17:00경기도 하남시 위례학암로 3002-448-05082023-08-04
5354포엠포레1000월-금09:00~17:00경기도 하남시 감일순환로 13502-477-03372023-08-04
5455감일파크5836월-금10:00~17:00경기도 하남시 감일순환로 19002-488-85832023-08-04
5556리버빌리티1009화-일09:00~22:00경기도 하남시 미사강변한강로 10031-792-96202023-08-04
5657꿈구름3,000화-토화-금 14:00 ~19:00, 토 10:00 ~15:00경기도 하남시 감일중앙로 2002-449-87042023-08-04
5758행복나무KIDS1315화-토13:00~17:00경기도 하남시 미사강변서로 45031-796-17512023-08-04
5859감일스타힐스쓰담쓰담4969월-금10:00~12:00, 15:00~17:00경기도 하남시 감일순환로 17002-488-85862023-08-04
5960위례포레자이1251화-일09:00~22:00경기도 하남시 위례대로 6길 9502-6956-65522023-08-04
6061감일수자인1196화-일09:00~22:00경기도 하남시 감일백제로 180번길 3002-488-97612023-08-04