Overview

Dataset statistics

Number of variables26
Number of observations54
Missing cells47
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory220.4 B

Variable types

Text4
Categorical7
DateTime7
Numeric8

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영기관명 is highly imbalanced (55.5%)Imbalance
부지면적 is highly imbalanced (80.1%)Imbalance
도서관전화번호 has 5 (9.3%) missing valuesMissing
홈페이지주소 has 42 (77.8%) missing valuesMissing
도서관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
자료수(연속간행물) has 29 (53.7%) zerosZeros
자료수(비도서) has 45 (83.3%) zerosZeros
대출가능권수 has 24 (44.4%) zerosZeros

Reproduction

Analysis started2024-04-19 05:17:26.939685
Analysis finished2024-04-19 05:17:27.315059
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-19T14:17:27.459619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length9.7222222
Min length5

Characters and Unicode

Total characters525
Distinct characters146
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row구수산도서관
2nd row대현도서관
3rd row태전도서관
4th row더불어숲 도서관
5th row꿈꾸는 마을도서관 도토리
ValueCountFrequency (%)
작은도서관 10
 
12.0%
도서관 7
 
8.4%
북구 2
 
2.4%
구수산도서관 1
 
1.2%
성광우방타운 1
 
1.2%
연경숲 1
 
1.2%
아름다운작은도서관 1
 
1.2%
스타힐스작은도서관 1
 
1.2%
세움작은도서관 1
 
1.2%
주민도서실 1
 
1.2%
Other values (57) 57
68.7%
2024-04-19T14:17:27.791853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 56
 
10.7%
서 56
 
10.7%
관 53
 
10.1%
은 30
 
5.7%
작 29
 
5.5%
29
 
5.5%
이 9
 
1.7%
지 9
 
1.7%
대 9
 
1.7%
구 8
 
1.5%
Other values (136) 237
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
92.4%
Space Separator 29
 
5.5%
Decimal Number 6
 
1.1%
Uppercase Letter 3
 
0.6%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 56
 
11.5%
서 56
 
11.5%
관 53
 
10.9%
은 30
 
6.2%
작 29
 
6.0%
이 9
 
1.9%
지 9
 
1.9%
대 9
 
1.9%
구 8
 
1.6%
스 6
 
1.2%
Other values (127) 220
45.4%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
4 1
 
16.7%
2 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
L 1
33.3%
U 1
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
92.4%
Common 37
 
7.0%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 56
 
11.5%
서 56
 
11.5%
관 53
 
10.9%
은 30
 
6.2%
작 29
 
6.0%
이 9
 
1.9%
지 9
 
1.9%
대 9
 
1.9%
구 8
 
1.6%
스 6
 
1.2%
Other values (127) 220
45.4%
Common
ValueCountFrequency (%)
29
78.4%
1 4
 
10.8%
4 1
 
2.7%
2 1
 
2.7%
) 1
 
2.7%
( 1
 
2.7%
Latin
ValueCountFrequency (%)
H 1
33.3%
L 1
33.3%
U 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
92.4%
ASCII 40
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 56
 
11.5%
서 56
 
11.5%
관 53
 
10.9%
은 30
 
6.2%
작 29
 
6.0%
이 9
 
1.9%
지 9
 
1.9%
대 9
 
1.9%
구 8
 
1.6%
스 6
 
1.2%
Other values (127) 220
45.4%
ASCII
ValueCountFrequency (%)
29
72.5%
1 4
 
10.0%
H 1
 
2.5%
L 1
 
2.5%
4 1
 
2.5%
2 1
 
2.5%
U 1
 
2.5%
) 1
 
2.5%
( 1
 
2.5%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
대구광역시
54 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 54
100.0%

Length

2024-04-19T14:17:27.910235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:17:27.990966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 54
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
북구
54 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 54
100.0%

Length

2024-04-19T14:17:28.079700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:17:28.203205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 54
100.0%

도서관유형
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
작은도서관
48 
공공도서관
6 

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 (%)
작은도서관 48
88.9%
공공도서관 6
 
11.1%

Length

2024-04-19T14:17:28.294036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:17:28.383480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
작은도서관 48
88.9%
공공도서관 6
 
11.1%

휴관일
Categorical

Distinct17
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
토+일+법정공휴일
22 
일+법정공휴일
10 
월+일+법정공휴일
3 
매월 둘째,넷째 월요일, 일요일 제외한 법정공휴일
 
2
월+토+일+법정공휴일
 
2
Other values (12)
15 

Length

Max length27
Median length17
Mean length10.018519
Min length3

Unique

Unique9 ?
Unique (%)16.7%

Sample

1st row매월 둘째,넷째 월요일, 일요일 제외한 법정공휴일
2nd row매월 둘째,넷째 월요일, 일요일 제외한 법정공휴일
3rd row매월 첫째,셋째 월요일, 일요일 제외한 법정공휴일
4th row토+일+법정공휴일
5th row첫째주 월요일+일요일+법정공휴일

Common Values

ValueCountFrequency (%)
토+일+법정공휴일 22
40.7%
일+법정공휴일 10
18.5%
월+일+법정공휴일 3
 
5.6%
매월 둘째,넷째 월요일, 일요일 제외한 법정공휴일 2
 
3.7%
월+토+일+법정공휴일 2
 
3.7%
월+법정공휴일 2
 
3.7%
일요일을 제외한 법정공휴일 2
 
3.7%
월+수+금+토+일+법정공휴일 2
 
3.7%
화+목+법정공휴일 1
 
1.9%
첫째주 월요일+일요일+법정공휴일 1
 
1.9%
Other values (7) 7
 
13.0%

Length

2024-04-19T14:17:28.480432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토+일+법정공휴일 22
29.7%
일+법정공휴일 10
13.5%
법정공휴일 6
 
8.1%
제외한 5
 
6.8%
일요일 4
 
5.4%
월+일+법정공휴일 3
 
4.1%
매월 3
 
4.1%
월요일 3
 
4.1%
월+수+금+토+일+법정공휴일 2
 
2.7%
일요일을 2
 
2.7%
Other values (11) 14
18.9%

평일운영시작시각
Date

Distinct14
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-19 00:00:00
Maximum2024-04-19 18:30:00
2024-04-19T14:17:28.564898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:17:28.662308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

평일운영종료시각
Date

Distinct12
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-19 00:00:00
Maximum2024-04-19 23:00:00
2024-04-19T14:17:28.757726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:17:28.847482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

토요일운영시작시각
Date

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-19 00:00:00
Maximum2024-04-19 14:00:00
2024-04-19T14:17:28.926621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:17:29.016546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

토요일운영종료시각
Date

Distinct10
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-19 00:00:00
Maximum2024-04-19 23:00:00
2024-04-19T14:17:29.112919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:17:29.206480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

공휴일운영시작시각
Date

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-19 00:00:00
Maximum2024-04-19 10:00:00
2024-04-19T14:17:29.288321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:17:29.641014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

공휴일운영종료시각
Date

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2024-04-19 00:00:00
Maximum2024-04-19 23:00:00
2024-04-19T14:17:29.731194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:17:29.814037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

열람좌석수
Real number (ℝ)

Distinct25
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.407407
Minimum6
Maximum642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:29.905309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9.3
Q115
median23
Q340
95-th percentile109.3
Maximum642
Range636
Interquartile range (IQR)25

Descriptive statistics

Standard deviation89.583843
Coefficient of variation (CV)2.0173176
Kurtosis38.905804
Mean44.407407
Median Absolute Deviation (MAD)11
Skewness5.9332426
Sum2398
Variance8025.2648
MonotonicityNot monotonic
2024-04-19T14:17:30.012673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20 6
 
11.1%
24 5
 
9.3%
10 5
 
9.3%
15 4
 
7.4%
12 4
 
7.4%
50 3
 
5.6%
30 3
 
5.6%
16 3
 
5.6%
40 2
 
3.7%
75 2
 
3.7%
Other values (15) 17
31.5%
ValueCountFrequency (%)
6 1
 
1.9%
8 2
 
3.7%
10 5
9.3%
12 4
7.4%
14 1
 
1.9%
15 4
7.4%
16 3
5.6%
20 6
11.1%
22 1
 
1.9%
24 5
9.3%
ValueCountFrequency (%)
642 1
 
1.9%
196 1
 
1.9%
160 1
 
1.9%
82 1
 
1.9%
75 2
3.7%
55 1
 
1.9%
52 1
 
1.9%
51 1
 
1.9%
50 3
5.6%
45 1
 
1.9%

자료수(도서)
Real number (ℝ)

Distinct47
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10082.926
Minimum1000
Maximum122166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:30.148954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1113
Q12465.5
median4888.5
Q38515
95-th percentile43484.9
Maximum122166
Range121166
Interquartile range (IQR)6049.5

Descriptive statistics

Standard deviation19366.079
Coefficient of variation (CV)1.9206805
Kurtosis22.278585
Mean10082.926
Median Absolute Deviation (MAD)2890
Skewness4.4265185
Sum544478
Variance3.7504501 × 108
MonotonicityNot monotonic
2024-04-19T14:17:30.273919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1500 2
 
3.7%
5000 2
 
3.7%
10000 2
 
3.7%
3000 2
 
3.7%
2300 2
 
3.7%
1000 2
 
3.7%
2500 2
 
3.7%
122166 1
 
1.9%
4300 1
 
1.9%
1120 1
 
1.9%
Other values (37) 37
68.5%
ValueCountFrequency (%)
1000 2
3.7%
1100 1
1.9%
1120 1
1.9%
1200 1
1.9%
1299 1
1.9%
1302 1
1.9%
1395 1
1.9%
1500 2
3.7%
1600 1
1.9%
2300 2
3.7%
ValueCountFrequency (%)
122166 1
1.9%
61289 1
1.9%
55090 1
1.9%
37236 1
1.9%
18807 1
1.9%
15000 1
1.9%
14562 1
1.9%
12950 1
1.9%
10645 1
1.9%
10423 1
1.9%

자료수(연속간행물)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7962963
Minimum0
Maximum80
Zeros29
Zeros (%)53.7%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:30.389733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.75
95-th percentile44.35
Maximum80
Range80
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation17.9395
Coefficient of variation (CV)2.6395994
Kurtosis12.080248
Mean6.7962963
Median Absolute Deviation (MAD)0
Skewness3.5707071
Sum367
Variance321.82565
MonotonicityNot monotonic
2024-04-19T14:17:30.507535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 29
53.7%
2 5
 
9.3%
3 3
 
5.6%
80 2
 
3.7%
6 2
 
3.7%
8 2
 
3.7%
5 2
 
3.7%
1 2
 
3.7%
71 1
 
1.9%
10 1
 
1.9%
Other values (5) 5
 
9.3%
ValueCountFrequency (%)
0 29
53.7%
1 2
 
3.7%
2 5
 
9.3%
3 3
 
5.6%
4 1
 
1.9%
5 2
 
3.7%
6 2
 
3.7%
7 1
 
1.9%
8 2
 
3.7%
10 1
 
1.9%
ValueCountFrequency (%)
80 2
3.7%
71 1
1.9%
30 1
1.9%
15 1
1.9%
11 1
1.9%
10 1
1.9%
8 2
3.7%
7 1
1.9%
6 2
3.7%
5 2
3.7%

자료수(비도서)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.77778
Minimum0
Maximum6758
Zeros45
Zeros (%)83.3%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:30.608035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile215.5
Maximum6758
Range6758
Interquartile range (IQR)0

Descriptive statistics

Standard deviation935.62849
Coefficient of variation (CV)5.7127927
Kurtosis49.029243
Mean163.77778
Median Absolute Deviation (MAD)0
Skewness6.9020687
Sum8844
Variance875400.67
MonotonicityNot monotonic
2024-04-19T14:17:30.700817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 45
83.3%
5 2
 
3.7%
6758 1
 
1.9%
1420 1
 
1.9%
352 1
 
1.9%
142 1
 
1.9%
60 1
 
1.9%
2 1
 
1.9%
100 1
 
1.9%
ValueCountFrequency (%)
0 45
83.3%
2 1
 
1.9%
5 2
 
3.7%
60 1
 
1.9%
100 1
 
1.9%
142 1
 
1.9%
352 1
 
1.9%
1420 1
 
1.9%
6758 1
 
1.9%
ValueCountFrequency (%)
6758 1
 
1.9%
1420 1
 
1.9%
352 1
 
1.9%
142 1
 
1.9%
100 1
 
1.9%
60 1
 
1.9%
5 2
 
3.7%
2 1
 
1.9%
0 45
83.3%

대출가능권수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5555556
Minimum0
Maximum10
Zeros24
Zeros (%)44.4%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:30.813002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9604968
Coefficient of variation (CV)1.1138897
Kurtosis-1.0634767
Mean3.5555556
Median Absolute Deviation (MAD)3
Skewness0.68227469
Sum192
Variance15.685535
MonotonicityNot monotonic
2024-04-19T14:17:30.909792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
44.4%
10 12
22.2%
5 8
 
14.8%
3 6
 
11.1%
2 2
 
3.7%
6 1
 
1.9%
4 1
 
1.9%
ValueCountFrequency (%)
0 24
44.4%
2 2
 
3.7%
3 6
 
11.1%
4 1
 
1.9%
5 8
 
14.8%
6 1
 
1.9%
10 12
22.2%
ValueCountFrequency (%)
10 12
22.2%
6 1
 
1.9%
5 8
 
14.8%
4 1
 
1.9%
3 6
 
11.1%
2 2
 
3.7%
0 24
44.4%

대출가능일수
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
24 
7
13 
15
9 
10
4 
14
4 

Length

Max length2
Median length1
Mean length1.3148148
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row15
3rd row15
4th row10
5th row7

Common Values

ValueCountFrequency (%)
0 24
44.4%
7 13
24.1%
15 9
 
16.7%
10 4
 
7.4%
14 4
 
7.4%

Length

2024-04-19T14:17:31.015435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:17:31.112339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
44.4%
7 13
24.1%
15 9
 
16.7%
10 4
 
7.4%
14 4
 
7.4%

소재지도로명주소
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-19T14:17:31.283389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length27.203704
Min length15

Characters and Unicode

Total characters1469
Distinct characters145
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

Unique54 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 대천로 21
2nd row대구광역시 북구 대현남로43
3rd row대구광역시 북구 영송로 36-16
4th row대구광역시 북구 학남로17길2
5th row대구광역시 북구 구암로 146
ValueCountFrequency (%)
대구광역시 54
22.0%
북구 54
22.0%
내곡로 4
 
1.6%
관음중앙로 2
 
0.8%
동천로23길 2
 
0.8%
7 2
 
0.8%
2층 2
 
0.8%
매전로4길 2
 
0.8%
동변로 2
 
0.8%
대천로 2
 
0.8%
Other values (120) 120
48.8%
2024-04-19T14:17:31.605836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
 
13.1%
구 125
 
8.5%
대 73
 
5.0%
북 60
 
4.1%
동 60
 
4.1%
시 56
 
3.8%
광 55
 
3.7%
역 55
 
3.7%
로 52
 
3.5%
) 45
 
3.1%
Other values (135) 696
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 954
64.9%
Space Separator 192
 
13.1%
Decimal Number 186
 
12.7%
Close Punctuation 45
 
3.1%
Open Punctuation 45
 
3.1%
Other Punctuation 34
 
2.3%
Dash Punctuation 10
 
0.7%
Uppercase Letter 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 125
 
13.1%
대 73
 
7.7%
북 60
 
6.3%
동 60
 
6.3%
시 56
 
5.9%
광 55
 
5.8%
역 55
 
5.8%
로 52
 
5.5%
길 22
 
2.3%
천 15
 
1.6%
Other values (117) 381
39.9%
Decimal Number
ValueCountFrequency (%)
1 45
24.2%
2 32
17.2%
3 18
 
9.7%
5 16
 
8.6%
6 15
 
8.1%
0 14
 
7.5%
7 13
 
7.0%
4 13
 
7.0%
9 10
 
5.4%
8 10
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
U 1
50.0%
Z 1
50.0%
Space Separator
ValueCountFrequency (%)
192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 954
64.9%
Common 512
34.9%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 125
 
13.1%
대 73
 
7.7%
북 60
 
6.3%
동 60
 
6.3%
시 56
 
5.9%
광 55
 
5.8%
역 55
 
5.8%
로 52
 
5.5%
길 22
 
2.3%
천 15
 
1.6%
Other values (117) 381
39.9%
Common
ValueCountFrequency (%)
192
37.5%
) 45
 
8.8%
( 45
 
8.8%
1 45
 
8.8%
, 34
 
6.6%
2 32
 
6.2%
3 18
 
3.5%
5 16
 
3.1%
6 15
 
2.9%
0 14
 
2.7%
Other values (5) 56
 
10.9%
Latin
ValueCountFrequency (%)
e 1
33.3%
U 1
33.3%
Z 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 954
64.9%
ASCII 515
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
37.3%
) 45
 
8.7%
( 45
 
8.7%
1 45
 
8.7%
, 34
 
6.6%
2 32
 
6.2%
3 18
 
3.5%
5 16
 
3.1%
6 15
 
2.9%
0 14
 
2.7%
Other values (8) 59
 
11.5%
Hangul
ValueCountFrequency (%)
구 125
 
13.1%
대 73
 
7.7%
북 60
 
6.3%
동 60
 
6.3%
시 56
 
5.9%
광 55
 
5.8%
역 55
 
5.8%
로 52
 
5.5%
길 22
 
2.3%
천 15
 
1.6%
Other values (117) 381
39.9%

운영기관명
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
42 
대구광역시 북구청
9 
지역문화공간 더불어 숲
 
1
행복한마을공동체 북구인
 
1
서태옥
 
1

Length

Max length12
Median length4
Mean length5.1111111
Min length3

Unique

Unique3 ?
Unique (%)5.6%

Sample

1st row대구광역시 북구청
2nd row대구광역시 북구청
3rd row대구광역시 북구청
4th row지역문화공간 더불어 숲
5th row행복한마을공동체 북구인

Common Values

ValueCountFrequency (%)
<NA> 42
77.8%
대구광역시 북구청 9
 
16.7%
지역문화공간 더불어 숲 1
 
1.9%
행복한마을공동체 북구인 1
 
1.9%
서태옥 1
 
1.9%

Length

2024-04-19T14:17:31.730603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:17:31.821522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
63.6%
대구광역시 9
 
13.6%
북구청 9
 
13.6%
지역문화공간 1
 
1.5%
더불어 1
 
1.5%
숲 1
 
1.5%
행복한마을공동체 1
 
1.5%
북구인 1
 
1.5%
서태옥 1
 
1.5%

도서관전화번호
Text

MISSING 

Distinct49
Distinct (%)100.0%
Missing5
Missing (%)9.3%
Memory size564.0 B
2024-04-19T14:17:32.014311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters588
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

Unique49 ?
Unique (%)100.0%

Sample

1st row053-320-5150
2nd row053-320-5170
3rd row053-320-5180
4th row053-326-0937
5th row053-327-0645
ValueCountFrequency (%)
053-320-5199 1
 
2.0%
053-985-3338 1
 
2.0%
053-587-0675 1
 
2.0%
053-954-7073 1
 
2.0%
053-951-3344 1
 
2.0%
053-383-3787 1
 
2.0%
053-314-2525 1
 
2.0%
053-381-9190 1
 
2.0%
053-357-0698 1
 
2.0%
053-341-4411 1
 
2.0%
Other values (39) 39
79.6%
2024-04-19T14:17:32.334504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 110
18.7%
- 98
16.7%
0 91
15.5%
5 89
15.1%
2 44
 
7.5%
9 39
 
6.6%
1 38
 
6.5%
4 26
 
4.4%
7 20
 
3.4%
6 17
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 110
22.4%
0 91
18.6%
5 89
18.2%
2 44
 
9.0%
9 39
 
8.0%
1 38
 
7.8%
4 26
 
5.3%
7 20
 
4.1%
6 17
 
3.5%
8 16
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 110
18.7%
- 98
16.7%
0 91
15.5%
5 89
15.1%
2 44
 
7.5%
9 39
 
6.6%
1 38
 
6.5%
4 26
 
4.4%
7 20
 
3.4%
6 17
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 110
18.7%
- 98
16.7%
0 91
15.5%
5 89
15.1%
2 44
 
7.5%
9 39
 
6.6%
1 38
 
6.5%
4 26
 
4.4%
7 20
 
3.4%
6 17
 
2.9%

부지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
51 
10454.0
 
1
687.18
 
1
1950.0
 
1

Length

Max length7
Median length4
Mean length4.1296296
Min length4

Unique

Unique3 ?
Unique (%)5.6%

Sample

1st row10454.0
2nd row687.18
3rd row1950.0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 51
94.4%
10454.0 1
 
1.9%
687.18 1
 
1.9%
1950.0 1
 
1.9%

Length

2024-04-19T14:17:32.466141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:17:32.557468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
94.4%
10454.0 1
 
1.9%
687.18 1
 
1.9%
1950.0 1
 
1.9%

건물면적
Real number (ℝ)

Distinct51
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.07889
Minimum33.1
Maximum3702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:32.677126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.1
5-th percentile36.4485
Q151.7775
median94.19
Q3139.43
95-th percentile506.169
Maximum3702
Range3668.9
Interquartile range (IQR)87.6525

Descriptive statistics

Standard deviation512.70421
Coefficient of variation (CV)2.5753821
Kurtosis43.01395
Mean199.07889
Median Absolute Deviation (MAD)44.69
Skewness6.3343561
Sum10750.26
Variance262865.61
MonotonicityNot monotonic
2024-04-19T14:17:32.813818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125.0 2
 
3.7%
90.0 2
 
3.7%
40.0 2
 
3.7%
141.37 1
 
1.9%
148.5 1
 
1.9%
95.0 1
 
1.9%
130.62 1
 
1.9%
51.0 1
 
1.9%
36.0 1
 
1.9%
84.47 1
 
1.9%
Other values (41) 41
75.9%
ValueCountFrequency (%)
33.1 1
1.9%
35.0 1
1.9%
36.0 1
1.9%
36.69 1
1.9%
39.28 1
1.9%
39.6 1
1.9%
39.7 1
1.9%
40.0 2
3.7%
41.0 1
1.9%
43.2 1
1.9%
ValueCountFrequency (%)
3702.0 1
1.9%
936.88 1
1.9%
847.64 1
1.9%
322.3 1
1.9%
320.6 1
1.9%
264.9 1
1.9%
200.0 1
1.9%
187.0 1
1.9%
174.66 1
1.9%
165.6 1
1.9%

홈페이지주소
Text

MISSING 

Distinct7
Distinct (%)58.3%
Missing42
Missing (%)77.8%
Memory size564.0 B
2024-04-19T14:17:32.995820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47.5
Mean length43.333333
Min length22

Characters and Unicode

Total characters520
Distinct characters31
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

Unique6 ?
Unique (%)50.0%

Sample

1st rowhttps://library.daegu.go.kr/bukgs/index.do
2nd rowhttps://library.daegu.go.kr/bukdh/index.do
3rd rowhttps://library.daegu.go.kr/buktj/index.do
4th rowhttp://www.withwith.net
5th rowhttp://m.cafe.daum.net/gbdotory
ValueCountFrequency (%)
https://library.daegu.go.kr/bukgs/html.do?menu_idx=98 6
50.0%
https://library.daegu.go.kr/bukgs/index.do 1
 
8.3%
https://library.daegu.go.kr/bukdh/index.do 1
 
8.3%
https://library.daegu.go.kr/buktj/index.do 1
 
8.3%
http://www.withwith.net 1
 
8.3%
http://m.cafe.daum.net/gbdotory 1
 
8.3%
http://yeonam.modoo.at 1
 
8.3%
2024-04-19T14:17:33.281814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 43
 
8.3%
. 43
 
8.3%
t 37
 
7.1%
d 31
 
6.0%
r 28
 
5.4%
g 26
 
5.0%
u 25
 
4.8%
o 24
 
4.6%
a 22
 
4.2%
e 22
 
4.2%
Other values (21) 219
42.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 392
75.4%
Other Punctuation 104
 
20.0%
Decimal Number 12
 
2.3%
Connector Punctuation 6
 
1.2%
Math Symbol 6
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 37
 
9.4%
d 31
 
7.9%
r 28
 
7.1%
g 26
 
6.6%
u 25
 
6.4%
o 24
 
6.1%
a 22
 
5.6%
e 22
 
5.6%
h 21
 
5.4%
i 20
 
5.1%
Other values (13) 136
34.7%
Other Punctuation
ValueCountFrequency (%)
/ 43
41.3%
. 43
41.3%
: 12
 
11.5%
? 6
 
5.8%
Decimal Number
ValueCountFrequency (%)
9 6
50.0%
8 6
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 392
75.4%
Common 128
 
24.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 37
 
9.4%
d 31
 
7.9%
r 28
 
7.1%
g 26
 
6.6%
u 25
 
6.4%
o 24
 
6.1%
a 22
 
5.6%
e 22
 
5.6%
h 21
 
5.4%
i 20
 
5.1%
Other values (13) 136
34.7%
Common
ValueCountFrequency (%)
/ 43
33.6%
. 43
33.6%
: 12
 
9.4%
? 6
 
4.7%
_ 6
 
4.7%
= 6
 
4.7%
9 6
 
4.7%
8 6
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 43
 
8.3%
. 43
 
8.3%
t 37
 
7.1%
d 31
 
6.0%
r 28
 
5.4%
g 26
 
5.0%
u 25
 
4.8%
o 24
 
4.6%
a 22
 
4.2%
e 22
 
4.2%
Other values (21) 219
42.1%

위도
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.915464
Minimum35.878624
Maximum35.955342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:33.398729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.878624
5-th percentile35.881748
Q135.897202
median35.911201
Q335.939177
95-th percentile35.947466
Maximum35.955342
Range0.07671783
Interquartile range (IQR)0.041975367

Descriptive statistics

Standard deviation0.023718506
Coefficient of variation (CV)0.00066039814
Kurtosis-1.4709388
Mean35.915464
Median Absolute Deviation (MAD)0.020856315
Skewness0.023225503
Sum1939.4351
Variance0.00056256751
MonotonicityNot monotonic
2024-04-19T14:17:33.533957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.938759 1
 
1.9%
35.90104211 1
 
1.9%
35.90577868 1
 
1.9%
35.90206159 1
 
1.9%
35.90109244 1
 
1.9%
35.88266282 1
 
1.9%
35.89322744 1
 
1.9%
35.90121933 1
 
1.9%
35.88050142 1
 
1.9%
35.94891342 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
35.87862417 1
1.9%
35.88050142 1
1.9%
35.88156645 1
1.9%
35.8818455 1
1.9%
35.881927 1
1.9%
35.88208471 1
1.9%
35.88266282 1
1.9%
35.885783 1
1.9%
35.89006153 1
1.9%
35.89031937 1
1.9%
ValueCountFrequency (%)
35.955342 1
1.9%
35.94891342 1
1.9%
35.947854 1
1.9%
35.94725664 1
1.9%
35.946126 1
1.9%
35.94483646 1
1.9%
35.944725 1
1.9%
35.944305 1
1.9%
35.94341036 1
1.9%
35.9427013 1
1.9%

경도
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57122
Minimum128.50887
Maximum128.62735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-19T14:17:33.667216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.50887
5-th percentile128.51333
Q1128.55005
median128.56962
Q3128.60044
95-th percentile128.61566
Maximum128.62735
Range0.1184765
Interquartile range (IQR)0.05038925

Descriptive statistics

Standard deviation0.031853861
Coefficient of variation (CV)0.00024775266
Kurtosis-0.72638701
Mean128.57122
Median Absolute Deviation (MAD)0.024498
Skewness-0.24354824
Sum6942.8457
Variance0.0010146685
MonotonicityNot monotonic
2024-04-19T14:17:33.804130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5524038 1
 
1.9%
128.5088743 1
 
1.9%
128.6160517 1
 
1.9%
128.514034 1
 
1.9%
128.5958873 1
 
1.9%
128.592027 1
 
1.9%
128.605092 1
 
1.9%
128.5124077 1
 
1.9%
128.592717 1
 
1.9%
128.6154506 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
128.5088743 1
1.9%
128.5118251 1
1.9%
128.5124077 1
1.9%
128.513834 1
1.9%
128.514034 1
1.9%
128.5142384 1
1.9%
128.5420963 1
1.9%
128.542153 1
1.9%
128.5427884 1
1.9%
128.5429328 1
1.9%
ValueCountFrequency (%)
128.6273508 1
1.9%
128.6259057 1
1.9%
128.6160517 1
1.9%
128.6154506 1
1.9%
128.6152588 1
1.9%
128.607359 1
1.9%
128.605915 1
1.9%
128.6055488 1
1.9%
128.605092 1
1.9%
128.6046436 1
1.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2023-07-27 00:00:00
Maximum2023-07-27 00:00:00
2024-04-19T14:17:33.901324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:17:33.980834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자
0구수산도서관대구광역시북구공공도서관매월 둘째,넷째 월요일, 일요일 제외한 법정공휴일09:0022:0009:0017:0009:0017:006421221668067581015대구광역시 북구 대천로 21대구광역시 북구청053-320-515010454.03702.0https://library.daegu.go.kr/bukgs/index.do35.938759128.5524042023-07-27
1대현도서관대구광역시북구공공도서관매월 둘째,넷째 월요일, 일요일 제외한 법정공휴일09:0020:0009:0017:0009:0017:00196612897101015대구광역시 북구 대현남로43대구광역시 북구청053-320-5170687.18847.64https://library.daegu.go.kr/bukdh/index.do35.881927128.6073592023-07-27
2태전도서관대구광역시북구공공도서관매월 첫째,셋째 월요일, 일요일 제외한 법정공휴일09:0020:0009:0017:0009:0017:00160550908001015대구광역시 북구 영송로 36-16대구광역시 북구청053-320-51801950.0936.88https://library.daegu.go.kr/buktj/index.do35.928521128.5461682023-07-27
3더불어숲 도서관대구광역시북구공공도서관토+일+법정공휴일10:0019:0000:0000:0000:0000:007537236101420510대구광역시 북구 학남로17길2지역문화공간 더불어 숲053-326-0937<NA>320.6http://www.withwith.net35.944725128.5698542023-07-27
4꿈꾸는 마을도서관 도토리대구광역시북구공공도서관첫째주 월요일+일요일+법정공휴일10:0019:0010:0015:0000:0000:0075188076352107대구광역시 북구 구암로 146행복한마을공동체 북구인053-327-0645<NA>264.9http://m.cafe.daum.net/gbdotory35.931529128.5564272023-07-27
5연암도서관대구광역시북구공공도서관월+일+법정공휴일09:0018:0009:0016:0000:0000:00821064515142514대구광역시 북구 동북로26길 25-1, 2층, 3층서태옥053-956-4422<NA>322.3http://yeonam.modoo.at35.899539128.6055492023-07-27
6노원행복도서관대구광역시북구작은도서관토+일+법정공휴일09:0018:0000:0000:0000:0000:00201395801015대구광역시 북구 노원로 134대구광역시 북구청053-320-5198<NA>104.0https://library.daegu.go.kr/bukgs/html.do?menu_idx=9835.896953128.5757622023-07-27
7북구 영어작은도서관대구광역시북구작은도서관토+일+법정공휴일10:0019:0000:0000:0000:0000:002034001101015대구광역시 북구 고성로 31길 21(고성동주민센터 1층)대구광역시 북구청053-320-5190<NA>90.0https://library.daegu.go.kr/bukgs/html.do?menu_idx=9835.881845128.5835062023-07-27
8산격1동 작은도서관대구광역시북구작은도서관토+일+법정공휴일09:0018:0000:0000:0000:0000:00163200201015대구광역시 북구 연암공원로 89(산격동)대구광역시 북구청053-320-5193<NA>106.0https://library.daegu.go.kr/bukgs/html.do?menu_idx=9835.898079128.6012542023-07-27
9서변동 작은도서관대구광역시북구작은도서관일요일을 제외한 법정공휴일10:0019:0010:0018:0010:0018:00406076801015대구광역시 북구 호국로 57길 6대구광역시 북구청053-320-5194<NA>200.0https://library.daegu.go.kr/bukgs/html.do?menu_idx=9835.927998128.5979982023-07-27
도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자
44천년나무작은도서관대구광역시북구작은도서관토+일+법정공휴일10:0019:0000:0000:0000:0000:001513022027대구광역시 북구 내곡로 69(사수동, 대구금호엘에이치천년나무5단지)<NA>053-327-2299<NA>64.25<NA>35.903143128.5118252023-07-27
45칠곡그린빌4단지 도서실대구광역시북구작은도서관월+토+일+법정공휴일17:0020:0000:0000:0000:0000:002448773000대구광역시 북구 구암서로 22(구암동, 그린빌4)<NA>053-267-5455<NA>54.11<NA>35.936444128.5655892023-07-27
46하늘샘작은도서관대구광역시북구작은도서관월+법정공휴일10:0016:0010:0016:0010:0016:005024540000대구광역시 북구 매전로4길 10-14(매천동)<NA>053-314-0600<NA>93.48<NA>35.908006128.5429332023-07-27
47하람어린이도서관대구광역시북구작은도서관월+법정공휴일09:3017:3009:3017:3009:3016:003038500000대구광역시 북구 대현로21길 72-3(대현동)<NA>053-954-1693<NA>48.0<NA>35.885783128.6059152023-07-27
48헤세드 작은도서관대구광역시북구작은도서관일+법정공휴일10:3020:0010:3020:0000:0000:002040000000대구광역시 북구 관음중앙로 117(관음동)<NA><NA><NA>39.28<NA>35.944305128.545182023-07-27
49협성휴포레강북작은도서관대구광역시북구작은도서관토+일+법정공휴일14:0018:0000:0000:0000:0000:001264100037대구광역시 북구 태암남로 60(태전동,협성휴포레강북아파트)<NA>053-311-7620<NA>109.1<NA>35.92442128.553912023-07-27
50화성그랜드파크 도서관 함지원대구광역시북구작은도서관일+법정공휴일13:0018:0013:0016:0000:0000:001023000000대구광역시 북구 구암로65길 9(구암동,화성그랜드파크)<NA>053-324-6935<NA>70.0<NA>35.939317128.5664662023-07-27
51화성센트럴파크 도서관대구광역시북구작은도서관토+일+법정공휴일14:0016:0000:0000:0000:0000:002284106000대구광역시 북구 대천로 100(동천동,화성센트럴파크)<NA>053-281-0952<NA>108.0<NA>35.935036128.5599682023-07-27
52힐스테이트 데시앙 도남1단지 작은도서관(운영준비중)대구광역시북구작은도서관운영준비중00:0000:0000:0000:0000:0000:00610000000대구광역시 북구 도남길 76(국우동,힐스테이트데시앙도남1단지)<NA>053-327-1692<NA>174.66<NA>35.955342128.5833892023-07-27
53별이빛나는 작은도서관대구광역시북구작은도서관토+일+법정공휴일00:0000:0000:0000:0000:0000:001511000000대구광역시 북구 동천로24길 7, 5층<NA><NA><NA>35.0<NA>35.941998128.5615472023-07-27