Overview

Dataset statistics

Number of variables26
Number of observations47
Missing cells47
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.1 KiB
Average record size in memory220.8 B

Variable types

Text4
Categorical7
DateTime7
Numeric8

Dataset

Description대구광역시_북구_도서관_20191115
Author대구광역시 북구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15006383&dataSetDetailId=150063831a77dab3d49b2_201911151141&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
운영기관명 is highly imbalanced (53.3%)Imbalance
부지면적 is highly imbalanced (77.8%)Imbalance
도서관전화번호 has 6 (12.8%) missing valuesMissing
홈페이지주소 has 41 (87.2%) missing valuesMissing
도서관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
자료수(연속간행물) has 32 (68.1%) zerosZeros
자료수(비도서) has 39 (83.0%) zerosZeros
대출가능권수 has 26 (55.3%) zerosZeros

Reproduction

Analysis started2023-12-10 19:26:54.039419
Analysis finished2023-12-10 19:26:54.462054
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서관명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-11T04:26:54.629441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.9787234
Min length5

Characters and Unicode

Total characters422
Distinct characters126
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row책마실도서관
2nd row칠곡그린빌4단지 도서실
3rd row칠성휴먼시아 작은도서관
4th row하람어린이도서관
5th row화성그랜드파크 도서관 함지원
ValueCountFrequency (%)
작은도서관 8
 
11.0%
도서관 7
 
9.6%
북구 2
 
2.7%
산격1동 1
 
1.4%
노원동 1
 
1.4%
꿈가득 1
 
1.4%
꿈꾸는도서관 1
 
1.4%
침산1동 1
 
1.4%
서변동 1
 
1.4%
노원행복도서관 1
 
1.4%
Other values (49) 49
67.1%
2023-12-11T04:26:55.003934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 47
 
11.1%
서 47
 
11.1%
관 44
 
10.4%
26
 
6.2%
은 24
 
5.7%
작 23
 
5.5%
이 7
 
1.7%
지 5
 
1.2%
대 5
 
1.2%
성 5
 
1.2%
Other values (116) 189
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
92.4%
Space Separator 26
 
6.2%
Decimal Number 5
 
1.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 47
 
12.1%
서 47
 
12.1%
관 44
 
11.3%
은 24
 
6.2%
작 23
 
5.9%
이 7
 
1.8%
지 5
 
1.3%
대 5
 
1.3%
성 5
 
1.3%
꿈 5
 
1.3%
Other values (111) 178
45.6%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
4 1
 
20.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
92.4%
Common 31
 
7.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 47
 
12.1%
서 47
 
12.1%
관 44
 
11.3%
은 24
 
6.2%
작 23
 
5.9%
이 7
 
1.8%
지 5
 
1.3%
대 5
 
1.3%
성 5
 
1.3%
꿈 5
 
1.3%
Other values (111) 178
45.6%
Common
ValueCountFrequency (%)
26
83.9%
1 3
 
9.7%
2 1
 
3.2%
4 1
 
3.2%
Latin
ValueCountFrequency (%)
U 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
92.4%
ASCII 32
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 47
 
12.1%
서 47
 
12.1%
관 44
 
11.3%
은 24
 
6.2%
작 23
 
5.9%
이 7
 
1.8%
지 5
 
1.3%
대 5
 
1.3%
성 5
 
1.3%
꿈 5
 
1.3%
Other values (111) 178
45.6%
ASCII
ValueCountFrequency (%)
26
81.2%
1 3
 
9.4%
U 1
 
3.1%
2 1
 
3.1%
4 1
 
3.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
대구광역시
47 

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 47
100.0%

Length

2023-12-11T04:26:55.181609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:26:55.309257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 47
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
북구
47 

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 47
100.0%

Length

2023-12-11T04:26:55.419687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:26:55.534937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 47
100.0%

도서관유형
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
작은도서관
41 
공공도서관
6 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
작은도서관 41
87.2%
공공도서관 6
 
12.8%

Length

2023-12-11T04:26:55.662372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:26:55.782295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
작은도서관 41
87.2%
공공도서관 6
 
12.8%

휴관일
Categorical

Distinct20
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
토, 일, 법정공휴일
15 
일요일, 법정공휴일
6 
일, 법정공휴일
5 
월, 일, 법정공휴일
2 
일요일을 제외한 법정공휴일
2 
Other values (15)
17 

Length

Max length21
Median length20
Mean length11.319149
Min length2

Unique

Unique13 ?
Unique (%)27.7%

Sample

1st row월, 일, 법정공휴일
2nd row월, 토, 일, 법정공휴일
3rd row화, 목, 토, 일, 법정공휴일
4th row월, 법정공휴일
5th row일요일, 법정공휴일

Common Values

ValueCountFrequency (%)
토, 일, 법정공휴일 15
31.9%
일요일, 법정공휴일 6
 
12.8%
일, 법정공휴일 5
 
10.6%
월, 일, 법정공휴일 2
 
4.3%
일요일을 제외한 법정공휴일 2
 
4.3%
매월 둘째,넷째 월요일, 국가지정공휴일 2
 
4.3%
월, 토, 일, 법정공휴일 2
 
4.3%
매주 일, 월요일 휴관 1
 
2.1%
화, 목, 토, 일, 법정공휴일 1
 
2.1%
월, 법정공휴일 1
 
2.1%
Other values (10) 10
21.3%

Length

2023-12-11T04:26:55.934098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
법정공휴일 37
28.7%
일 27
20.9%
토 19
14.7%
일요일 7
 
5.4%
월 6
 
4.7%
월요일 5
 
3.9%
국가지정공휴일 3
 
2.3%
휴관 3
 
2.3%
매월 3
 
2.3%
둘째,넷째 2
 
1.6%
Other values (14) 17
13.2%

평일운영시작시각
Date

Distinct13
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-11 09:00:00
Maximum2023-12-11 18:30:00
2023-12-11T04:26:56.088053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:26:56.251554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

평일운영종료시각
Date

Distinct10
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-11 16:00:00
Maximum2023-12-11 23:00:00
2023-12-11T04:26:56.395069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:26:56.529561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

토요일운영시작시각
Date

Distinct8
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 14:00:00
2023-12-11T04:26:56.676798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:26:56.819330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

토요일운영종료시각
Date

Distinct10
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 23:00:00
2023-12-11T04:26:56.952350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:26:57.059186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

공휴일운영시작시각
Date

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 10:00:00
2023-12-11T04:26:57.172040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:26:57.319201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

공휴일운영종료시각
Date

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 23:00:00
2023-12-11T04:26:57.453360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:26:57.557419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

열람좌석수
Real number (ℝ)

Distinct23
Distinct (%)48.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.042553
Minimum8
Maximum544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:26:57.668616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q115
median24
Q340
95-th percentile135.7
Maximum544
Range536
Interquartile range (IQR)25

Descriptive statistics

Standard deviation81.999724
Coefficient of variation (CV)1.7809552
Kurtosis30.820968
Mean46.042553
Median Absolute Deviation (MAD)12
Skewness5.2413421
Sum2164
Variance6723.9547
MonotonicityNot monotonic
2023-12-11T04:26:57.812520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20 6
12.8%
30 5
 
10.6%
10 5
 
10.6%
24 3
 
6.4%
15 3
 
6.4%
12 3
 
6.4%
50 2
 
4.3%
40 2
 
4.3%
39 2
 
4.3%
75 2
 
4.3%
Other values (13) 14
29.8%
ValueCountFrequency (%)
8 1
 
2.1%
10 5
10.6%
12 3
6.4%
14 1
 
2.1%
15 3
6.4%
16 1
 
2.1%
20 6
12.8%
22 2
 
4.3%
24 3
6.4%
30 5
10.6%
ValueCountFrequency (%)
544 1
2.1%
190 1
2.1%
160 1
2.1%
79 1
2.1%
75 2
4.3%
60 1
2.1%
52 1
2.1%
50 2
4.3%
45 1
2.1%
40 2
4.3%

자료수(도서)
Real number (ℝ)

Distinct42
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9676.9574
Minimum1000
Maximum133815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:26:57.968949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1006.6
Q12173.5
median4192
Q38517
95-th percentile35235
Maximum133815
Range132815
Interquartile range (IQR)6343.5

Descriptive statistics

Standard deviation20564.585
Coefficient of variation (CV)2.1251086
Kurtosis29.988507
Mean9676.9574
Median Absolute Deviation (MAD)2592
Skewness5.1488177
Sum454817
Variance4.2290216 × 108
MonotonicityNot monotonic
2023-12-11T04:26:58.161698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1200 4
 
8.5%
5000 2
 
4.3%
2500 2
 
4.3%
10277 1
 
2.1%
2661 1
 
2.1%
5051 1
 
2.1%
1003 1
 
2.1%
2448 1
 
2.1%
13020 1
 
2.1%
8193 1
 
2.1%
Other values (32) 32
68.1%
ValueCountFrequency (%)
1000 1
 
2.1%
1002 1
 
2.1%
1003 1
 
2.1%
1015 1
 
2.1%
1120 1
 
2.1%
1200 4
8.5%
1600 1
 
2.1%
2000 1
 
2.1%
2047 1
 
2.1%
2300 1
 
2.1%
ValueCountFrequency (%)
133815 1
2.1%
43683 1
2.1%
36651 1
2.1%
31931 1
2.1%
17362 1
2.1%
15000 1
2.1%
13020 1
2.1%
10745 1
2.1%
10277 1
2.1%
10000 1
2.1%

자료수(연속간행물)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4893617
Minimum0
Maximum124
Zeros32
Zeros (%)68.1%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:26:58.315735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile46.2
Maximum124
Range124
Interquartile range (IQR)2

Descriptive statistics

Standard deviation21.076334
Coefficient of variation (CV)3.2478285
Kurtosis21.896722
Mean6.4893617
Median Absolute Deviation (MAD)0
Skewness4.4387779
Sum305
Variance444.21184
MonotonicityNot monotonic
2023-12-11T04:26:58.475884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 32
68.1%
2 3
 
6.4%
3 2
 
4.3%
6 2
 
4.3%
4 2
 
4.3%
42 1
 
2.1%
1 1
 
2.1%
124 1
 
2.1%
53 1
 
2.1%
48 1
 
2.1%
ValueCountFrequency (%)
0 32
68.1%
1 1
 
2.1%
2 3
 
6.4%
3 2
 
4.3%
4 2
 
4.3%
5 1
 
2.1%
6 2
 
4.3%
42 1
 
2.1%
48 1
 
2.1%
53 1
 
2.1%
ValueCountFrequency (%)
124 1
 
2.1%
53 1
 
2.1%
48 1
 
2.1%
42 1
 
2.1%
6 2
4.3%
5 1
 
2.1%
4 2
4.3%
3 2
4.3%
2 3
6.4%
1 1
 
2.1%

자료수(비도서)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.957447
Minimum0
Maximum2157
Zeros39
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:26:58.630918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile286.3
Maximum2157
Range2157
Interquartile range (IQR)0

Descriptive statistics

Standard deviation374.27983
Coefficient of variation (CV)4.160632
Kurtosis23.795641
Mean89.957447
Median Absolute Deviation (MAD)0
Skewness4.8384624
Sum4228
Variance140085.39
MonotonicityNot monotonic
2023-12-11T04:26:58.811044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 39
83.0%
100 1
 
2.1%
2157 1
 
2.1%
1420 1
 
2.1%
352 1
 
2.1%
133 1
 
2.1%
60 1
 
2.1%
1 1
 
2.1%
5 1
 
2.1%
ValueCountFrequency (%)
0 39
83.0%
1 1
 
2.1%
5 1
 
2.1%
60 1
 
2.1%
100 1
 
2.1%
133 1
 
2.1%
352 1
 
2.1%
1420 1
 
2.1%
2157 1
 
2.1%
ValueCountFrequency (%)
2157 1
 
2.1%
1420 1
 
2.1%
352 1
 
2.1%
133 1
 
2.1%
100 1
 
2.1%
60 1
 
2.1%
5 1
 
2.1%
1 1
 
2.1%
0 39
83.0%

대출가능권수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4893617
Minimum0
Maximum10
Zeros26
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:26:58.991023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.3781689
Coefficient of variation (CV)1.2547191
Kurtosis-1.3678257
Mean3.4893617
Median Absolute Deviation (MAD)0
Skewness0.67881806
Sum164
Variance19.168363
MonotonicityNot monotonic
2023-12-11T04:26:59.132695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 26
55.3%
10 13
27.7%
3 3
 
6.4%
5 3
 
6.4%
6 1
 
2.1%
4 1
 
2.1%
ValueCountFrequency (%)
0 26
55.3%
3 3
 
6.4%
4 1
 
2.1%
5 3
 
6.4%
6 1
 
2.1%
10 13
27.7%
ValueCountFrequency (%)
10 13
27.7%
6 1
 
2.1%
5 3
 
6.4%
4 1
 
2.1%
3 3
 
6.4%
0 26
55.3%

대출가능일수
Categorical

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
0
26 
15
11 
7
6 
10
3 
14
 
1

Length

Max length2
Median length1
Mean length1.3191489
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row14
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
55.3%
15 11
23.4%
7 6
 
12.8%
10 3
 
6.4%
14 1
 
2.1%

Length

2023-12-11T04:26:59.329166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:26:59.521151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
55.3%
15 11
23.4%
7 6
 
12.8%
10 3
 
6.4%
14 1
 
2.1%

소재지도로명주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-11T04:26:59.813804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length22.765957
Min length15

Characters and Unicode

Total characters1070
Distinct characters112
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

Unique47 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 구리로 26 (칠곡우방하이츠 지하1호)
2nd row대구광역시 북구 구암서로 22
3rd row대구광역시 북구 칠성남로 101(칠성휴먼시아)
4th row대구광역시 북구 대현로21길 72-3
5th row대구광역시 북구 구암로 65길 9
ValueCountFrequency (%)
대구광역시 47
21.8%
북구 47
21.8%
2층 6
 
2.8%
구암로 3
 
1.4%
내곡로 2
 
0.9%
24 2
 
0.9%
6 2
 
0.9%
대현로 2
 
0.9%
대천로 2
 
0.9%
내 2
 
0.9%
Other values (101) 101
46.8%
2023-12-11T04:27:00.324155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
15.8%
구 101
 
9.4%
대 59
 
5.5%
북 51
 
4.8%
시 50
 
4.7%
광 48
 
4.5%
역 47
 
4.4%
로 46
 
4.3%
1 45
 
4.2%
2 31
 
2.9%
Other values (102) 423
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
62.1%
Decimal Number 176
 
16.4%
Space Separator 169
 
15.8%
Open Punctuation 23
 
2.1%
Close Punctuation 23
 
2.1%
Dash Punctuation 12
 
1.1%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 101
15.2%
대 59
 
8.9%
북 51
 
7.7%
시 50
 
7.5%
광 48
 
7.2%
역 47
 
7.1%
로 46
 
6.9%
길 20
 
3.0%
동 14
 
2.1%
층 12
 
1.8%
Other values (86) 217
32.6%
Decimal Number
ValueCountFrequency (%)
1 45
25.6%
2 31
17.6%
4 19
10.8%
3 16
 
9.1%
6 15
 
8.5%
0 14
 
8.0%
5 13
 
7.4%
7 10
 
5.7%
9 9
 
5.1%
8 4
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
U 1
50.0%
Z 1
50.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 665
62.1%
Common 403
37.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 101
15.2%
대 59
 
8.9%
북 51
 
7.7%
시 50
 
7.5%
광 48
 
7.2%
역 47
 
7.1%
로 46
 
6.9%
길 20
 
3.0%
동 14
 
2.1%
층 12
 
1.8%
Other values (86) 217
32.6%
Common
ValueCountFrequency (%)
169
41.9%
1 45
 
11.2%
2 31
 
7.7%
( 23
 
5.7%
) 23
 
5.7%
4 19
 
4.7%
3 16
 
4.0%
6 15
 
3.7%
0 14
 
3.5%
5 13
 
3.2%
Other values (4) 35
 
8.7%
Latin
ValueCountFrequency (%)
U 1
50.0%
Z 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 665
62.1%
ASCII 405
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
41.7%
1 45
 
11.1%
2 31
 
7.7%
( 23
 
5.7%
) 23
 
5.7%
4 19
 
4.7%
3 16
 
4.0%
6 15
 
3.7%
0 14
 
3.5%
5 13
 
3.2%
Other values (6) 37
 
9.1%
Hangul
ValueCountFrequency (%)
구 101
15.2%
대 59
 
8.9%
북 51
 
7.7%
시 50
 
7.5%
광 48
 
7.2%
역 47
 
7.1%
로 46
 
6.9%
길 20
 
3.0%
동 14
 
2.1%
층 12
 
1.8%
Other values (86) 217
32.6%

운영기관명
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
36 
대구광역시 북구청
8 
행복한마을공동체 북구인
 
1
지역문화공간 더불어 숲
 
1
서태옥
 
1

Length

Max length12
Median length4
Mean length5.1702128
Min length3

Unique

Unique3 ?
Unique (%)6.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
76.6%
대구광역시 북구청 8
 
17.0%
행복한마을공동체 북구인 1
 
2.1%
지역문화공간 더불어 숲 1
 
2.1%
서태옥 1
 
2.1%

Length

2023-12-11T04:27:00.509799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:00.656046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
62.1%
대구광역시 8
 
13.8%
북구청 8
 
13.8%
행복한마을공동체 1
 
1.7%
북구인 1
 
1.7%
지역문화공간 1
 
1.7%
더불어 1
 
1.7%
숲 1
 
1.7%
서태옥 1
 
1.7%

도서관전화번호
Text

MISSING 

Distinct40
Distinct (%)97.6%
Missing6
Missing (%)12.8%
Memory size508.0 B
2023-12-11T04:27:00.897093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique39 ?
Unique (%)95.1%

Sample

1st row053-324-0615
2nd row053-267-5455
3rd row053-355-7970
4th row053-954-1693
5th row053-324-6935
ValueCountFrequency (%)
053-313-9002 2
 
4.9%
053-327-0645 1
 
2.4%
053-955-5029 1
 
2.4%
053-311-1324 1
 
2.4%
053-320-5195 1
 
2.4%
053-320-5191 1
 
2.4%
053-320-5194 1
 
2.4%
053-320-5198 1
 
2.4%
053-320-5199 1
 
2.4%
053-383-3787 1
 
2.4%
Other values (30) 30
73.2%
2023-12-11T04:27:01.316846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 92
18.7%
- 82
16.7%
5 78
15.9%
0 77
15.7%
1 34
 
6.9%
2 34
 
6.9%
9 31
 
6.3%
4 23
 
4.7%
7 17
 
3.5%
8 13
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 92
22.4%
5 78
19.0%
0 77
18.8%
1 34
 
8.3%
2 34
 
8.3%
9 31
 
7.6%
4 23
 
5.6%
7 17
 
4.1%
8 13
 
3.2%
6 11
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 92
18.7%
- 82
16.7%
5 78
15.9%
0 77
15.7%
1 34
 
6.9%
2 34
 
6.9%
9 31
 
6.3%
4 23
 
4.7%
7 17
 
3.5%
8 13
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 92
18.7%
- 82
16.7%
5 78
15.9%
0 77
15.7%
1 34
 
6.9%
2 34
 
6.9%
9 31
 
6.3%
4 23
 
4.7%
7 17
 
3.5%
8 13
 
2.6%

부지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
<NA>
44 
10454.0
 
1
687.18
 
1
1950.0
 
1

Length

Max length7
Median length4
Mean length4.1489362
Min length4

Unique

Unique3 ?
Unique (%)6.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
93.6%
10454.0 1
 
2.1%
687.18 1
 
2.1%
1950.0 1
 
2.1%

Length

2023-12-11T04:27:01.770077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:27:01.906098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
93.6%
10454.0 1
 
2.1%
687.18 1
 
2.1%
1950.0 1
 
2.1%

건물면적
Real number (ℝ)

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.85979
Minimum33
Maximum3702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:27:02.035414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile36.207
Q151.805
median99
Q3148.25
95-th percentile690.038
Maximum3702
Range3669
Interquartile range (IQR)96.445

Descriptive statistics

Standard deviation548.06693
Coefficient of variation (CV)2.538995
Kurtosis37.463913
Mean215.85979
Median Absolute Deviation (MAD)49.5
Skewness5.9150945
Sum10145.41
Variance300377.36
MonotonicityNot monotonic
2023-12-11T04:27:02.215907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
40.0 2
 
4.3%
151.14 1
 
2.1%
133.61 1
 
2.1%
200.0 1
 
2.1%
104.0 1
 
2.1%
41.0 1
 
2.1%
95.0 1
 
2.1%
132.0 1
 
2.1%
33.0 1
 
2.1%
39.7 1
 
2.1%
Other values (36) 36
76.6%
ValueCountFrequency (%)
33.0 1
2.1%
33.1 1
2.1%
36.0 1
2.1%
36.69 1
2.1%
39.6 1
2.1%
39.7 1
2.1%
40.0 2
4.3%
41.0 1
2.1%
43.2 1
2.1%
48.0 1
2.1%
ValueCountFrequency (%)
3702.0 1
2.1%
936.88 1
2.1%
847.64 1
2.1%
322.3 1
2.1%
320.6 1
2.1%
264.9 1
2.1%
200.0 1
2.1%
187.0 1
2.1%
163.18 1
2.1%
151.14 1
2.1%

홈페이지주소
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing41
Missing (%)87.2%
Memory size508.0 B
2023-12-11T04:27:02.442923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length31.5
Mean length28.666667
Min length22

Characters and Unicode

Total characters172
Distinct characters23
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)50.0%

Sample

1st rowhttp://lib.buk.daegu.kr/library/
2nd rowhttp://lib.buk.daegu.kr/library/
3rd rowhttp://lib.buk.daegu.kr/library/
4th rowhttp://www.withwith.net
5th rowhttp://m.cafe.daum.net/gbdotory
ValueCountFrequency (%)
http://lib.buk.daegu.kr/library 3
50.0%
http://www.withwith.net 1
 
16.7%
http://m.cafe.daum.net/gbdotory 1
 
16.7%
http://yeonam.modoo.at 1
 
16.7%
2023-12-11T04:27:02.848552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 19
 
11.0%
t 18
 
10.5%
. 16
 
9.3%
r 10
 
5.8%
a 10
 
5.8%
b 10
 
5.8%
h 8
 
4.7%
i 8
 
4.7%
e 7
 
4.1%
u 7
 
4.1%
Other values (13) 59
34.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 131
76.2%
Other Punctuation 41
 
23.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 18
13.7%
r 10
 
7.6%
a 10
 
7.6%
b 10
 
7.6%
h 8
 
6.1%
i 8
 
6.1%
e 7
 
5.3%
u 7
 
5.3%
d 6
 
4.6%
k 6
 
4.6%
Other values (10) 41
31.3%
Other Punctuation
ValueCountFrequency (%)
/ 19
46.3%
. 16
39.0%
: 6
 
14.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 131
76.2%
Common 41
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 18
13.7%
r 10
 
7.6%
a 10
 
7.6%
b 10
 
7.6%
h 8
 
6.1%
i 8
 
6.1%
e 7
 
5.3%
u 7
 
5.3%
d 6
 
4.6%
k 6
 
4.6%
Other values (10) 41
31.3%
Common
ValueCountFrequency (%)
/ 19
46.3%
. 16
39.0%
: 6
 
14.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 19
 
11.0%
t 18
 
10.5%
. 16
 
9.3%
r 10
 
5.8%
a 10
 
5.8%
b 10
 
5.8%
h 8
 
4.7%
i 8
 
4.7%
e 7
 
4.1%
u 7
 
4.1%
Other values (13) 59
34.3%

위도
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.91149
Minimum35.879239
Maximum35.946279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:27:03.029374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.879239
5-th percentile35.880909
Q135.891004
median35.909615
Q335.931781
95-th percentile35.944422
Maximum35.946279
Range0.06704
Interquartile range (IQR)0.0407765

Descriptive statistics

Standard deviation0.022819481
Coefficient of variation (CV)0.00063543676
Kurtosis-1.5357859
Mean35.91149
Median Absolute Deviation (MAD)0.021357
Skewness0.068068352
Sum1687.84
Variance0.00052072872
MonotonicityNot monotonic
2023-12-11T04:27:03.177268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
35.946279 1
 
2.1%
35.937432 1
 
2.1%
35.890141 1
 
2.1%
35.928248 1
 
2.1%
35.897207 1
 
2.1%
35.897948 1
 
2.1%
35.905687 1
 
2.1%
35.915381 1
 
2.1%
35.945121 1
 
2.1%
35.935216 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
35.879239 1
2.1%
35.880468 1
2.1%
35.880835 1
2.1%
35.881081 1
2.1%
35.881851 1
2.1%
35.881927 1
2.1%
35.881962 1
2.1%
35.884576 1
2.1%
35.885783 1
2.1%
35.888258 1
2.1%
ValueCountFrequency (%)
35.946279 1
2.1%
35.945121 1
2.1%
35.944725 1
2.1%
35.943715 1
2.1%
35.942633 1
2.1%
35.941837 1
2.1%
35.939707 1
2.1%
35.938759 1
2.1%
35.937432 1
2.1%
35.935754 1
2.1%

경도
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.57712
Minimum128.51383
Maximum128.62796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-11T04:27:03.346891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.51383
5-th percentile128.54302
Q1128.55691
median128.57584
Q3128.60021
95-th percentile128.61345
Maximum128.62796
Range0.114122
Interquartile range (IQR)0.0433025

Descriptive statistics

Standard deviation0.026372736
Coefficient of variation (CV)0.0002051122
Kurtosis-0.80401664
Mean128.57712
Median Absolute Deviation (MAD)0.022162
Skewness-0.058370293
Sum6043.1248
Variance0.00069552121
MonotonicityNot monotonic
2023-12-11T04:27:03.554196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
128.557395 1
 
2.1%
128.566288 1
 
2.1%
128.581447 1
 
2.1%
128.597998 1
 
2.1%
128.575836 1
 
2.1%
128.513834 1
 
2.1%
128.615993 1
 
2.1%
128.602429 1
 
2.1%
128.552577 1
 
2.1%
128.558304 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
128.513834 1
2.1%
128.542153 1
2.1%
128.542888 1
2.1%
128.543334 1
2.1%
128.543845 1
2.1%
128.544703 1
2.1%
128.544791 1
2.1%
128.549477 1
2.1%
128.552355 1
2.1%
128.552571 1
2.1%
ValueCountFrequency (%)
128.627956 1
2.1%
128.625231 1
2.1%
128.615993 1
2.1%
128.607529 1
2.1%
128.607359 1
2.1%
128.605915 1
2.1%
128.605744 1
2.1%
128.605499 1
2.1%
128.605092 1
2.1%
128.603803 1
2.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2019-11-15 00:00:00
Maximum2019-11-15 00:00:00
2023-12-11T04:27:03.681783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T04:27:03.796350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자
0책마실도서관대구광역시북구작은도서관월, 일, 법정공휴일09:0017:0009:0016:0000:0000:00301027721001014대구광역시 북구 구리로 26 (칠곡우방하이츠 지하1호)<NA>053-324-0615<NA>151.14<NA>35.946279128.5573952019-11-15
1칠곡그린빌4단지 도서실대구광역시북구작은도서관월, 토, 일, 법정공휴일17:0020:0000:0000:0000:0000:002448773000대구광역시 북구 구암서로 22<NA>053-267-5455<NA>54.11<NA>35.937432128.5662882019-11-15
2칠성휴먼시아 작은도서관대구광역시북구작은도서관화, 목, 토, 일, 법정공휴일14:0017:0000:0000:0000:0000:001550000000대구광역시 북구 칠성남로 101(칠성휴먼시아)<NA>053-355-7970<NA>33.1<NA>35.879239128.5915012019-11-15
3하람어린이도서관대구광역시북구작은도서관월, 법정공휴일09:3017:3009:3017:3009:3016:003038500000대구광역시 북구 대현로21길 72-3<NA>053-954-1693<NA>48.0<NA>35.885783128.6059152019-11-15
4화성그랜드파크 도서관 함지원대구광역시북구작은도서관일요일, 법정공휴일13:0018:0013:0016:0000:0000:001023000000대구광역시 북구 구암로 65길 9<NA>053-324-6935<NA>70.0<NA>35.939707128.5674912019-11-15
5화성센트럴파크 도서관대구광역시북구작은도서관토, 일, 법정공휴일13:0017:0000:0000:0000:0000:002286366037대구광역시 북구 대천로 100(화성센트럴파크 관리사무소 2층)<NA>053-281-0952<NA>108.0<NA>35.935754128.5608242019-11-15
6매화도서관대구광역시북구작은도서관토, 일, 법정공휴일12:0018:0000:0000:0000:0000:001060000000대구광역시 북구 매전로17(매천화성파크드림)<NA>053-325-0673<NA>150.0<NA>35.909615128.5433342019-11-15
7메르디앙작은도서관대구광역시북구작은도서관토, 일, 법정공휴일15:0018:0000:0000:0000:0000:0020430042037대구광역시 북구 서변로26(동서변월드메르디앙)<NA><NA><NA>40.0<NA>35.918115128.5965112019-11-15
8무지개작은도서관대구광역시북구작은도서관일, 법정공휴일10:0018:0011:0017:0000:0000:005250002000대구광역시 북구 관음중앙로 98-1(3층)<NA>053-587-0675<NA>85.0<NA>35.942633128.5447912019-11-15
9복현푸르지오작은도서관대구광역시북구작은도서관토, 일, 법정공휴일15:0018:0000:0000:0000:0000:001611200000대구광역시 북구 동북로 345 (복현푸르지오UZ센터)<NA>053-951-3344<NA>148.5<NA>35.891384128.6279562019-11-15
도서관명시도명시군구명도서관유형휴관일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각열람좌석수자료수(도서)자료수(연속간행물)자료수(비도서)대출가능권수대출가능일수소재지도로명주소운영기관명도서관전화번호부지면적건물면적홈페이지주소위도경도데이터기준일자
37꿈꾸는작은도서관대구광역시북구작은도서관일요일, 법정공휴일13:0018:0013:0018:0000:0000:002412000000대구광역시 북구 구암로 16길 7 (상가동 지하)<NA>053-325-4088<NA>99.0<NA>35.931228128.5494772019-11-15
38꿈이 있는 도서관대구광역시북구작은도서관일요일, 법정공휴일10:0020:0010:0018:0000:0000:002045000000대구광역시 북구 검단동로 14-7(북대구교회 2층)<NA>053-384-8494<NA>36.69<NA>35.912561128.6252312019-11-15
39대현 휴 도서관대구광역시북구작은도서관월, 토, 일, 법정공휴일16:0018:0000:0000:0000:0000:003549000547대구광역시 북구 대현남로 25(대현휴먼시아2단지)<NA>053-942-8712<NA>61.96<NA>35.880835128.6057442019-11-15
40세움작은도서관대구광역시북구작은도서관월,일,법정공휴일13:3018:3013:3018:3000:0000:00812000000대구광역시 북구 산격로 29(2층)<NA>053-341-4411<NA>36.0<NA>35.893524128.6050922019-11-15
41천년나무작은도서관대구광역시북구작은도서관월,화,목,금,토,일,법정공휴일15:0017:0000:0000:0000:0000:001510000000대구광역시 북구 내곡로 69(천년나무5단지)<NA>053-311-0097<NA>64.25<NA>35.884576128.6075292019-11-15
42모퉁이작은도서관대구광역시북구작은도서관토, 일, 법정공휴일10:0016:0000:0000:0000:0000:0012150000000대구광역시 북구 성북로 5길 24<NA><NA><NA>59.5<NA>35.893297128.5869272019-11-15
43협성휴포레강북작은도서관대구광역시북구작은도서관토, 일, 법정공휴일13:0018:0000:0000:0000:0000:001210150000대구광역시 북구 태암남로 60<NA>053-311-7620<NA>109.1<NA>35.923301128.5525712019-11-15
44하늘샘작은도서관대구광역시북구작은도서관월,법정공휴일10:0016:0010:0016:0010:0016:005020000000대구광역시 북구 매전로 4길 10-14<NA>053-313-9002<NA>93.48<NA>35.908312128.5428882019-11-15
45이편한세상대구금호작은도서관대구광역시북구작은도서관없음09:0023:0009:0023:0009:0023:003910020000대구광역시 북구 내곡로 49<NA>053-313-9002<NA>141.37<NA>35.893731128.5842342019-11-15
46앤드도서관대구광역시북구작은도서관일, 법정공휴일13:0018:0013:0018:0000:0000:001212000000대구광역시 북구 대현로 9길 49-26<NA><NA><NA>49.5<NA>35.888258128.6038032019-11-15