Overview

Dataset statistics

Number of variables9
Number of observations29
Missing cells3
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory79.6 B

Variable types

Text4
Numeric3
Categorical2

Dataset

Description전라남도 나주시 소재 작은도서관 현황입니다. 일상생활 속 지역주민에게 지식정보서비스의 제공 및 공공도서관과의 연계를 위한 관내 작은도서관(도서관명, 소재지주소, 연락처, 열람석 수 등)에 대한 정보를 제공합니다.
Author전라남도 나주시
URLhttps://www.data.go.kr/data/3033359/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
운영시간 has 3 (10.3%) missing valuesMissing
도서관명칭 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:36:44.180449
Analysis finished2023-12-12 19:36:45.918850
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명칭
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T04:36:46.053149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length9.1724138
Min length8

Characters and Unicode

Total characters266
Distinct characters81
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row배꽃 작은도서관
2nd row봉황면 작은도서관
3rd row공산면 작은도서관
4th row비단고을용문 작은도서관
5th row샘터 작은도서관
ValueCountFrequency (%)
작은도서관 29
50.0%
배꽃 1
 
1.7%
다도면 1
 
1.7%
모이세 1
 
1.7%
같이가치 1
 
1.7%
화탑 1
 
1.7%
하나린 1
 
1.7%
신숙주 1
 
1.7%
나눔빛 1
 
1.7%
지혜마루 1
 
1.7%
Other values (20) 20
34.5%
2023-12-13T04:36:46.391901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
11.3%
도 30
 
11.3%
작 29
 
10.9%
은 29
 
10.9%
서 29
 
10.9%
관 29
 
10.9%
면 4
 
1.5%
이 3
 
1.1%
지 2
 
0.8%
꿈 2
 
0.8%
Other values (71) 79
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
88.3%
Space Separator 30
 
11.3%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 30
 
12.8%
작 29
 
12.3%
은 29
 
12.3%
서 29
 
12.3%
관 29
 
12.3%
면 4
 
1.7%
이 3
 
1.3%
지 2
 
0.9%
꿈 2
 
0.9%
나 2
 
0.9%
Other values (69) 76
32.3%
Space Separator
ValueCountFrequency (%)
30
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 235
88.3%
Common 31
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 30
 
12.8%
작 29
 
12.3%
은 29
 
12.3%
서 29
 
12.3%
관 29
 
12.3%
면 4
 
1.7%
이 3
 
1.3%
지 2
 
0.9%
꿈 2
 
0.9%
나 2
 
0.9%
Other values (69) 76
32.3%
Common
ValueCountFrequency (%)
30
96.8%
2 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 235
88.3%
ASCII 31
 
11.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
96.8%
2 1
 
3.2%
Hangul
ValueCountFrequency (%)
도 30
 
12.8%
작 29
 
12.3%
은 29
 
12.3%
서 29
 
12.3%
관 29
 
12.3%
면 4
 
1.7%
이 3
 
1.3%
지 2
 
0.9%
꿈 2
 
0.9%
나 2
 
0.9%
Other values (69) 76
32.3%

소재지도로명주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T04:36:46.663549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length29
Mean length23.793103
Min length16

Characters and Unicode

Total characters690
Distinct characters108
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

Unique29 ?
Unique (%)100.0%

Sample

1st row전라남도 나주시 삼영1길 61
2nd row전라남도 나주시 봉황면 봉황로 753
3rd row전라남도 나주시 공산면 140-8
4th row전라남도 나주시 다시면 다시로 175-24
5th row전라남도 나주시 노안면 금산로 34
ValueCountFrequency (%)
전라남도 29
 
19.1%
나주시 29
 
19.1%
관리동 5
 
3.3%
남평읍 3
 
2.0%
산포면 3
 
2.0%
월정3길 2
 
1.3%
빛가람 2
 
1.3%
1차 2
 
1.3%
34 2
 
1.3%
노안면 2
 
1.3%
Other values (71) 73
48.0%
2023-12-13T04:36:47.066148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
19.4%
남 34
 
4.9%
시 32
 
4.6%
도 31
 
4.5%
나 31
 
4.5%
주 30
 
4.3%
전 29
 
4.2%
라 29
 
4.2%
1 24
 
3.5%
길 14
 
2.0%
Other values (98) 302
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 420
60.9%
Space Separator 134
 
19.4%
Decimal Number 93
 
13.5%
Uppercase Letter 15
 
2.2%
Open Punctuation 10
 
1.4%
Close Punctuation 10
 
1.4%
Dash Punctuation 8
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 34
 
8.1%
시 32
 
7.6%
도 31
 
7.4%
나 31
 
7.4%
주 30
 
7.1%
전 29
 
6.9%
라 29
 
6.9%
길 14
 
3.3%
면 14
 
3.3%
로 14
 
3.3%
Other values (76) 162
38.6%
Decimal Number
ValueCountFrequency (%)
1 24
25.8%
3 13
14.0%
7 12
12.9%
4 9
 
9.7%
5 8
 
8.6%
0 8
 
8.6%
2 8
 
8.6%
6 8
 
8.6%
8 2
 
2.2%
9 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
H 4
26.7%
L 4
26.7%
S 2
13.3%
N 1
 
6.7%
A 1
 
6.7%
K 1
 
6.7%
T 1
 
6.7%
X 1
 
6.7%
Space Separator
ValueCountFrequency (%)
134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 420
60.9%
Common 255
37.0%
Latin 15
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 34
 
8.1%
시 32
 
7.6%
도 31
 
7.4%
나 31
 
7.4%
주 30
 
7.1%
전 29
 
6.9%
라 29
 
6.9%
길 14
 
3.3%
면 14
 
3.3%
로 14
 
3.3%
Other values (76) 162
38.6%
Common
ValueCountFrequency (%)
134
52.5%
1 24
 
9.4%
3 13
 
5.1%
7 12
 
4.7%
( 10
 
3.9%
) 10
 
3.9%
4 9
 
3.5%
5 8
 
3.1%
- 8
 
3.1%
0 8
 
3.1%
Other values (4) 19
 
7.5%
Latin
ValueCountFrequency (%)
H 4
26.7%
L 4
26.7%
S 2
13.3%
N 1
 
6.7%
A 1
 
6.7%
K 1
 
6.7%
T 1
 
6.7%
X 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 420
60.9%
ASCII 270
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
49.6%
1 24
 
8.9%
3 13
 
4.8%
7 12
 
4.4%
( 10
 
3.7%
) 10
 
3.7%
4 9
 
3.3%
5 8
 
3.0%
- 8
 
3.0%
0 8
 
3.0%
Other values (12) 34
 
12.6%
Hangul
ValueCountFrequency (%)
남 34
 
8.1%
시 32
 
7.6%
도 31
 
7.4%
나 31
 
7.4%
주 30
 
7.1%
전 29
 
6.9%
라 29
 
6.9%
길 14
 
3.3%
면 14
 
3.3%
로 14
 
3.3%
Other values (76) 162
38.6%

열람석
Real number (ℝ)

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.275862
Minimum10
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T04:36:47.237109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10.8
Q120
median24
Q330
95-th percentile53
Maximum80
Range70
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.892264
Coefficient of variation (CV)0.56204347
Kurtosis2.7773113
Mean28.275862
Median Absolute Deviation (MAD)6
Skewness1.5244743
Sum820
Variance252.56404
MonotonicityNot monotonic
2023-12-13T04:36:47.351574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20 9
31.0%
30 7
24.1%
12 3
 
10.3%
50 3
 
10.3%
10 2
 
6.9%
40 1
 
3.4%
24 1
 
3.4%
25 1
 
3.4%
55 1
 
3.4%
80 1
 
3.4%
ValueCountFrequency (%)
10 2
 
6.9%
12 3
 
10.3%
20 9
31.0%
24 1
 
3.4%
25 1
 
3.4%
30 7
24.1%
40 1
 
3.4%
50 3
 
10.3%
55 1
 
3.4%
80 1
 
3.4%
ValueCountFrequency (%)
80 1
 
3.4%
55 1
 
3.4%
50 3
 
10.3%
40 1
 
3.4%
30 7
24.1%
25 1
 
3.4%
24 1
 
3.4%
20 9
31.0%
12 3
 
10.3%
10 2
 
6.9%

운영요일
Categorical

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
월~금
17 
월~토
4 
휴관중
3 
월~일
2 
화~금,일
 
1
Other values (2)
2 

Length

Max length5
Median length3
Mean length3.137931
Min length3

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row월~금
2nd row월~금
3rd row월~토
4th row휴관중
5th row휴관중

Common Values

ValueCountFrequency (%)
월~금 17
58.6%
월~토 4
 
13.8%
휴관중 3
 
10.3%
월~일 2
 
6.9%
화~금,일 1
 
3.4%
월,수~일 1
 
3.4%
화~토 1
 
3.4%

Length

2023-12-13T04:36:47.480006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:36:47.613291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월~금 17
58.6%
월~토 4
 
13.8%
휴관중 3
 
10.3%
월~일 2
 
6.9%
화~금,일 1
 
3.4%
월,수~일 1
 
3.4%
화~토 1
 
3.4%

운영시간
Text

MISSING 

Distinct16
Distinct (%)61.5%
Missing3
Missing (%)10.3%
Memory size364.0 B
2023-12-13T04:36:47.772000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters286
Distinct characters11
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

Unique12 ?
Unique (%)46.2%

Sample

1st row09:00~18:00
2nd row09:00~18:00
3rd row10:00~20:00
4th row11:00~18:00
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 6
23.1%
10:00~17:00 4
15.4%
10:00~18:00 2
 
7.7%
09:00~17:00 2
 
7.7%
11:00~15:00 1
 
3.8%
11:00~18:00 1
 
3.8%
10:00~21:00 1
 
3.8%
09:00~21:00 1
 
3.8%
10:00~20:00 1
 
3.8%
14:00~18:00 1
 
3.8%
Other values (6) 6
23.1%
2023-12-13T04:36:48.045452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 122
42.7%
: 52
18.2%
1 41
 
14.3%
~ 26
 
9.1%
9 12
 
4.2%
8 11
 
3.8%
7 8
 
2.8%
3 7
 
2.4%
2 5
 
1.7%
5 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 208
72.7%
Other Punctuation 52
 
18.2%
Math Symbol 26
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
58.7%
1 41
 
19.7%
9 12
 
5.8%
8 11
 
5.3%
7 8
 
3.8%
3 7
 
3.4%
2 5
 
2.4%
5 1
 
0.5%
4 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 286
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 122
42.7%
: 52
18.2%
1 41
 
14.3%
~ 26
 
9.1%
9 12
 
4.2%
8 11
 
3.8%
7 8
 
2.8%
3 7
 
2.4%
2 5
 
1.7%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 122
42.7%
: 52
18.2%
1 41
 
14.3%
~ 26
 
9.1%
9 12
 
4.2%
8 11
 
3.8%
7 8
 
2.8%
3 7
 
2.4%
2 5
 
1.7%
5 1
 
0.3%

전화번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T04:36:48.274002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters349
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

Unique29 ?
Unique (%)100.0%

Sample

1st row061-332-4552
2nd row061-339-3809
3rd row061-335-5400
4th row061-335-3730
5th row061-335-0909
ValueCountFrequency (%)
061-332-4552 1
 
3.4%
061-337-1105 1
 
3.4%
061-339-3786 1
 
3.4%
062-374-8331 1
 
3.4%
061-332-7399 1
 
3.4%
061-337-2800 1
 
3.4%
061-335-2177 1
 
3.4%
061-336-1121 1
 
3.4%
061-336-0394 1
 
3.4%
061-333-1883 1
 
3.4%
Other values (19) 19
65.5%
2023-12-13T04:36:48.702945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 73
20.9%
- 58
16.6%
0 51
14.6%
1 47
13.5%
6 33
9.5%
5 17
 
4.9%
2 16
 
4.6%
8 15
 
4.3%
9 14
 
4.0%
7 13
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 291
83.4%
Dash Punctuation 58
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 73
25.1%
0 51
17.5%
1 47
16.2%
6 33
11.3%
5 17
 
5.8%
2 16
 
5.5%
8 15
 
5.2%
9 14
 
4.8%
7 13
 
4.5%
4 12
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 73
20.9%
- 58
16.6%
0 51
14.6%
1 47
13.5%
6 33
9.5%
5 17
 
4.9%
2 16
 
4.6%
8 15
 
4.3%
9 14
 
4.0%
7 13
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 73
20.9%
- 58
16.6%
0 51
14.6%
1 47
13.5%
6 33
9.5%
5 17
 
4.9%
2 16
 
4.6%
8 15
 
4.3%
9 14
 
4.0%
7 13
 
3.7%

위도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.010248
Minimum34.901545
Maximum35.077399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T04:36:48.848676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.901545
5-th percentile34.930256
Q135.002258
median35.016282
Q335.035463
95-th percentile35.066927
Maximum35.077399
Range0.175854
Interquartile range (IQR)0.033205

Descriptive statistics

Standard deviation0.042680466
Coefficient of variation (CV)0.0012190849
Kurtosis0.59954348
Mean35.010248
Median Absolute Deviation (MAD)0.0178666
Skewness-0.9360173
Sum1015.2972
Variance0.0018216222
MonotonicityNot monotonic
2023-12-13T04:36:48.999496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
35.002258 1
 
3.4%
34.958239 1
 
3.4%
35.0377212 1
 
3.4%
34.9471961 1
 
3.4%
35.0525906 1
 
3.4%
35.0162824 1
 
3.4%
34.931266 1
 
3.4%
35.039977 1
 
3.4%
35.074836 1
 
3.4%
35.015795 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
34.901545 1
3.4%
34.929582 1
3.4%
34.931266 1
3.4%
34.9471961 1
3.4%
34.958239 1
3.4%
34.967622 1
3.4%
34.999314 1
3.4%
35.002258 1
3.4%
35.006623 1
3.4%
35.008878 1
3.4%
ValueCountFrequency (%)
35.077399 1
3.4%
35.074836 1
3.4%
35.055063 1
3.4%
35.0525906 1
3.4%
35.044291 1
3.4%
35.039977 1
3.4%
35.0377212 1
3.4%
35.035463 1
3.4%
35.034149 1
3.4%
35.032029 1
3.4%

경도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.74737
Minimum126.60304
Maximum126.86418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T04:36:49.150794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.60304
5-th percentile126.6173
Q1126.70457
median126.75425
Q3126.79358
95-th percentile126.85302
Maximum126.86418
Range0.261138
Interquartile range (IQR)0.089009

Descriptive statistics

Standard deviation0.071639793
Coefficient of variation (CV)0.0005652172
Kurtosis-0.54548158
Mean126.74737
Median Absolute Deviation (MAD)0.049677
Skewness-0.35183539
Sum3675.6737
Variance0.00513226
MonotonicityNot monotonic
2023-12-13T04:36:49.373815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
126.701086 1
 
3.4%
126.784302 1
 
3.4%
126.8532167 1
 
3.4%
126.8275927 1
 
3.4%
126.812165 1
 
3.4%
126.7821279 1
 
3.4%
126.70457 1
 
3.4%
126.85272 1
 
3.4%
126.700967 1
 
3.4%
126.778181 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
126.603039 1
3.4%
126.603887 1
3.4%
126.637412 1
3.4%
126.653023 1
3.4%
126.67313 1
3.4%
126.700967 1
3.4%
126.701086 1
3.4%
126.70457 1
3.4%
126.710809 1
3.4%
126.711435 1
3.4%
ValueCountFrequency (%)
126.864177 1
3.4%
126.8532167 1
3.4%
126.85272 1
3.4%
126.8275927 1
3.4%
126.812165 1
3.4%
126.810185 1
3.4%
126.80456 1
3.4%
126.793579 1
3.4%
126.793573 1
3.4%
126.787907 1
3.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-01-10
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-10
2nd row2023-01-10
3rd row2023-01-10
4th row2023-01-10
5th row2023-01-10

Common Values

ValueCountFrequency (%)
2023-01-10 29
100.0%

Length

2023-12-13T04:36:49.521277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:36:49.652388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-10 29
100.0%

Interactions

2023-12-13T04:36:45.293914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:44.584762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:44.941885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:45.410244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:44.711808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:45.062676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:45.518880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:44.832137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:36:45.190765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:36:49.731129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도서관명칭소재지도로명주소열람석운영요일운영시간전화번호위도경도
도서관명칭1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
열람석1.0001.0001.0000.7880.7731.0000.3680.483
운영요일1.0001.0000.7881.0000.9431.0000.0000.548
운영시간1.0001.0000.7730.9431.0001.0000.0000.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0000.3680.0000.0001.0001.0000.609
경도1.0001.0000.4830.5480.0001.0000.6091.000
2023-12-13T04:36:49.885361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
열람석위도경도운영요일
열람석1.0000.1800.1540.362
위도0.1801.0000.1400.000
경도0.1540.1401.0000.272
운영요일0.3620.0000.2721.000

Missing values

2023-12-13T04:36:45.662930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:36:45.853813image/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

도서관명칭소재지도로명주소열람석운영요일운영시간전화번호위도경도데이터기준일자
0배꽃 작은도서관전라남도 나주시 삼영1길 6130월~금09:00~18:00061-332-455235.002258126.7010862023-01-10
1봉황면 작은도서관전라남도 나주시 봉황면 봉황로 75330월~금09:00~18:00061-339-380934.958239126.7843022023-01-10
2공산면 작은도서관전라남도 나주시 공산면 140-810월~토10:00~20:00061-335-540034.929582126.6030392023-01-10
3비단고을용문 작은도서관전라남도 나주시 다시면 다시로 175-2420휴관중<NA>061-335-373035.019137126.6374122023-01-10
4샘터 작은도서관전라남도 나주시 노안면 금산로 3420휴관중<NA>061-335-090935.077399126.7302572023-01-10
5해맑음 작은도서관전라남도 나주시 금성길 7320월~금11:00~18:00061-332-100535.035463126.7170542023-01-10
6오계 작은도서관전라남도 나주시 남평읍 다남로 41130월~토09:00~18:00061-337-291134.999314126.8641772023-01-10
7해오름 작은도서관전라남도 나주시 영강길 1520월~금10:00~21:00061-334-241035.006623126.7114352023-01-10
8아이뜰 작은도서관전라남도 나주시 반남면 석천로 20-1330월~금10:00~18:00070-8833-183534.901545126.6530232023-01-10
9꿈트리 작은도서관전라남도 나주시 죽림길 3420월~일09:00~21:00061-334-138935.028655126.7262122023-01-10
도서관명칭소재지도로명주소열람석운영요일운영시간전화번호위도경도데이터기준일자
19책사랑 작은도서관전라남도 나주시 우정로 77 (중흥센트럴 1차 관리동)20월~금09:00~18:00061-334-451135.024925126.7879072023-01-10
20지혜마루 작은도서관전라남도 나주시 월정3길 17 (빛가람LH5단지 관리동)25월~금09:00~17:00061-333-188335.012551126.7935792023-01-10
21나눔빛 작은도서관전라남도 나주시 그린로63 (빛가람LH1단지 관리동)30월~금10:00~17:00061-336-039435.015795126.7781812023-01-10
22신숙주 작은도서관전라남도 나주시 노안면 금안1길 26 (명촌각)50월~금10:00~17:00061-336-112135.074836126.7009672023-01-10
23하나린 작은도서관전라남도 나주시 남평읍 강변2길 20 (STXKAN 중우하나린아파트 관리동)30월~토13:00~18:00061-335-217735.039977126.852722023-01-10
24화탑 작은도서관전라남도 나주시 세지면 화탑길 6112월~금14:00~18:00061-337-280034.931266126.704572023-01-10
25같이가치 작은도서관전라남도 나주시 중야1길 37(대방엘리움 1차)55월,수~일09:00~22:00061-332-739935.016282126.7821282023-01-10
26모이세 작은도서관전라남도 나주시 산포면 등정덕례길 136-750화~토09:00~13:00062-374-833135.052591126.8121652023-01-10
27다도면 작은도서관전라남도 나주시 다도면 다도로 75910월~금10:00~17:00061-339-378634.947196126.8275932023-01-10
28양우2차 작은도서관전라남도 나주시 남평읍 지석로 167(양아내안애리버시티 2차 관리동)80월~금13:30~17:30061-331-805135.037721126.8532172023-01-10