Overview

Dataset statistics

Number of variables6
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory53.2 B

Variable types

Numeric3
Text3

Dataset

Description대구광역시 수성구 내 도서관, 공연장, 문화원, 영화상영관 등 문화공간 현황
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/15063892/fileData.do

Alerts

연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:12:57.469084
Analysis finished2023-12-12 17:12:59.017661
Duration1.55 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
2023-12-13T02:12:59.106954image/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
2023-12-13T02:12:59.270822image/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%

사업장명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T02:12:59.549415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length9.2131148
Min length5

Characters and Unicode

Total characters562
Distinct characters142
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
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 row선한이웃 작은도서관
2nd row술술어린이도서관
3rd row동광독서문화원
4th row아름다운 창대문고
5th row신동산문고
ValueCountFrequency (%)
작은도서관 11
 
11.5%
대구수성 4
 
4.2%
cgv 4
 
4.2%
수성아트피아 3
 
3.1%
범어도서관 2
 
2.1%
공간울림 2
 
2.1%
물망이도서관 1
 
1.0%
용학도서관 1
 
1.0%
파동도서관 1
 
1.0%
무학숲도서관 1
 
1.0%
Other values (66) 66
68.8%
2023-12-13T02:13:00.477849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 43
 
7.7%
35
 
6.2%
서 30
 
5.3%
도 29
 
5.2%
대 17
 
3.0%
구 17
 
3.0%
V 14
 
2.5%
G 14
 
2.5%
작 14
 
2.5%
은 14
 
2.5%
Other values (132) 335
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
83.3%
Uppercase Letter 42
 
7.5%
Space Separator 35
 
6.2%
Decimal Number 15
 
2.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 43
 
9.2%
서 30
 
6.4%
도 29
 
6.2%
대 17
 
3.6%
구 17
 
3.6%
작 14
 
3.0%
은 14
 
3.0%
제 14
 
3.0%
성 12
 
2.6%
아 12
 
2.6%
Other values (116) 266
56.8%
Decimal Number
ValueCountFrequency (%)
1 3
20.0%
2 2
13.3%
3 2
13.3%
4 2
13.3%
6 1
 
6.7%
5 1
 
6.7%
7 1
 
6.7%
8 1
 
6.7%
9 1
 
6.7%
0 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
V 14
33.3%
G 14
33.3%
C 14
33.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
83.1%
Common 52
 
9.3%
Latin 42
 
7.5%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 43
 
9.2%
서 30
 
6.4%
도 29
 
6.2%
대 17
 
3.6%
구 17
 
3.6%
작 14
 
3.0%
은 14
 
3.0%
제 14
 
3.0%
성 12
 
2.6%
아 12
 
2.6%
Other values (115) 265
56.7%
Common
ValueCountFrequency (%)
35
67.3%
1 3
 
5.8%
2 2
 
3.8%
3 2
 
3.8%
4 2
 
3.8%
6 1
 
1.9%
5 1
 
1.9%
7 1
 
1.9%
8 1
 
1.9%
9 1
 
1.9%
Other values (3) 3
 
5.8%
Latin
ValueCountFrequency (%)
V 14
33.3%
G 14
33.3%
C 14
33.3%
Han
ValueCountFrequency (%)
談 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
83.1%
ASCII 94
 
16.7%
CJK 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 43
 
9.2%
서 30
 
6.4%
도 29
 
6.2%
대 17
 
3.6%
구 17
 
3.6%
작 14
 
3.0%
은 14
 
3.0%
제 14
 
3.0%
성 12
 
2.6%
아 12
 
2.6%
Other values (115) 265
56.7%
ASCII
ValueCountFrequency (%)
35
37.2%
V 14
 
14.9%
G 14
 
14.9%
C 14
 
14.9%
1 3
 
3.2%
2 2
 
2.1%
3 2
 
2.1%
4 2
 
2.1%
6 1
 
1.1%
5 1
 
1.1%
Other values (6) 6
 
6.4%
CJK
ValueCountFrequency (%)
談 1
100.0%

도로명주소
Text

Distinct48
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T02:13:00.832916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length24
Mean length22
Min length16

Characters and Unicode

Total characters1342
Distinct characters71
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)72.1%

Sample

1st row대구광역시 수성구 시지로 90-4
2nd row대구광역시 수성구 욱수천로 77
3rd row대구광역시 수성구 달구벌대로456길 43
4th row대구광역시 수성구 파동로18길 36
5th row대구광역시 수성구 희망로 93
ValueCountFrequency (%)
대구광역시 61
22.3%
수성구 61
22.3%
유니버시아드로 10
 
3.6%
140 10
 
3.6%
대흥동 10
 
3.6%
달구벌대로 5
 
1.8%
무학로 4
 
1.5%
지범로 4
 
1.5%
191 4
 
1.5%
180 3
 
1.1%
Other values (84) 102
37.2%
2023-12-13T02:13:01.395248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
15.9%
구 132
 
9.8%
대 82
 
6.1%
시 72
 
5.4%
수 71
 
5.3%
성 65
 
4.8%
역 62
 
4.6%
로 61
 
4.5%
광 61
 
4.5%
1 51
 
3.8%
Other values (61) 472
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 854
63.6%
Decimal Number 220
 
16.4%
Space Separator 213
 
15.9%
Open Punctuation 20
 
1.5%
Close Punctuation 20
 
1.5%
Dash Punctuation 11
 
0.8%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 132
15.5%
대 82
9.6%
시 72
 
8.4%
수 71
 
8.3%
성 65
 
7.6%
역 62
 
7.3%
로 61
 
7.1%
광 61
 
7.1%
동 27
 
3.2%
길 23
 
2.7%
Other values (46) 198
23.2%
Decimal Number
ValueCountFrequency (%)
1 51
23.2%
4 28
12.7%
0 27
12.3%
3 22
10.0%
9 20
 
9.1%
2 19
 
8.6%
6 19
 
8.6%
5 13
 
5.9%
8 12
 
5.5%
7 9
 
4.1%
Space Separator
ValueCountFrequency (%)
213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 854
63.6%
Common 488
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 132
15.5%
대 82
9.6%
시 72
 
8.4%
수 71
 
8.3%
성 65
 
7.6%
역 62
 
7.3%
로 61
 
7.1%
광 61
 
7.1%
동 27
 
3.2%
길 23
 
2.7%
Other values (46) 198
23.2%
Common
ValueCountFrequency (%)
213
43.6%
1 51
 
10.5%
4 28
 
5.7%
0 27
 
5.5%
3 22
 
4.5%
( 20
 
4.1%
9 20
 
4.1%
) 20
 
4.1%
2 19
 
3.9%
6 19
 
3.9%
Other values (5) 49
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 854
63.6%
ASCII 488
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
43.6%
1 51
 
10.5%
4 28
 
5.7%
0 27
 
5.5%
3 22
 
4.5%
( 20
 
4.1%
9 20
 
4.1%
) 20
 
4.1%
2 19
 
3.9%
6 19
 
3.9%
Other values (5) 49
 
10.0%
Hangul
ValueCountFrequency (%)
구 132
15.5%
대 82
9.6%
시 72
 
8.4%
수 71
 
8.3%
성 65
 
7.6%
역 62
 
7.3%
로 61
 
7.1%
광 61
 
7.1%
동 27
 
3.2%
길 23
 
2.7%
Other values (46) 198
23.2%

소재지
Text

Distinct47
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T02:13:01.675290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length25.836066
Min length17

Characters and Unicode

Total characters1576
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)70.5%

Sample

1st row대구광역시 수성구 시지로 90-4 (시지동, 2층)
2nd row대구광역시 수성구 달구벌대로651길 23 (신매동, 시지3차보성A상가 201/201)
3rd row대구광역시 수성구 달구벌대로456길 43, 102/202 (수성4가, 수성영남타운)
4th row대구광역시 수성구 파동로18길 36 (파동, 창대교회)
5th row대구광역시 수성구 희망로 93, 2층 (중동)
ValueCountFrequency (%)
대구광역시 61
19.5%
수성구 61
19.5%
대흥동 10
 
3.2%
504 10
 
3.2%
b2f 10
 
3.2%
지산동 8
 
2.6%
달구벌대로 5
 
1.6%
1273 4
 
1.3%
동아백화점 4
 
1.3%
수성점 4
 
1.3%
Other values (109) 136
43.5%
2023-12-13T02:13:02.138781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
17.3%
구 131
 
8.3%
대 83
 
5.3%
수 75
 
4.8%
성 74
 
4.7%
시 66
 
4.2%
역 63
 
4.0%
광 61
 
3.9%
동 53
 
3.4%
1 50
 
3.2%
Other values (96) 647
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 908
57.6%
Decimal Number 283
 
18.0%
Space Separator 273
 
17.3%
Open Punctuation 26
 
1.6%
Close Punctuation 26
 
1.6%
Other Punctuation 24
 
1.5%
Uppercase Letter 22
 
1.4%
Dash Punctuation 14
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 131
14.4%
대 83
 
9.1%
수 75
 
8.3%
성 74
 
8.1%
시 66
 
7.3%
역 63
 
6.9%
광 61
 
6.7%
동 53
 
5.8%
로 42
 
4.6%
지 26
 
2.9%
Other values (77) 234
25.8%
Decimal Number
ValueCountFrequency (%)
1 50
17.7%
2 49
17.3%
3 35
12.4%
0 33
11.7%
5 32
11.3%
4 30
10.6%
6 19
 
6.7%
9 14
 
4.9%
7 11
 
3.9%
8 10
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 11
50.0%
F 10
45.5%
A 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 21
87.5%
/ 3
 
12.5%
Space Separator
ValueCountFrequency (%)
273
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 908
57.6%
Common 646
41.0%
Latin 22
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 131
14.4%
대 83
 
9.1%
수 75
 
8.3%
성 74
 
8.1%
시 66
 
7.3%
역 63
 
6.9%
광 61
 
6.7%
동 53
 
5.8%
로 42
 
4.6%
지 26
 
2.9%
Other values (77) 234
25.8%
Common
ValueCountFrequency (%)
273
42.3%
1 50
 
7.7%
2 49
 
7.6%
3 35
 
5.4%
0 33
 
5.1%
5 32
 
5.0%
4 30
 
4.6%
( 26
 
4.0%
) 26
 
4.0%
, 21
 
3.3%
Other values (6) 71
 
11.0%
Latin
ValueCountFrequency (%)
B 11
50.0%
F 10
45.5%
A 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 908
57.6%
ASCII 668
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
40.9%
1 50
 
7.5%
2 49
 
7.3%
3 35
 
5.2%
0 33
 
4.9%
5 32
 
4.8%
4 30
 
4.5%
( 26
 
3.9%
) 26
 
3.9%
, 21
 
3.1%
Other values (9) 93
 
13.9%
Hangul
ValueCountFrequency (%)
구 131
14.4%
대 83
 
9.1%
수 75
 
8.3%
성 74
 
8.1%
시 66
 
7.3%
역 63
 
6.9%
광 61
 
6.7%
동 53
 
5.8%
로 42
 
4.6%
지 26
 
2.9%
Other values (77) 234
25.8%

좌표정보(X)
Real number (ℝ)

Distinct46
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65492
Minimum128.60889
Maximum128.72231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T02:13:02.326971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.60889
5-th percentile128.61238
Q1128.62828
median128.64036
Q3128.68732
95-th percentile128.71063
Maximum128.72231
Range0.1134156
Interquartile range (IQR)0.0590459

Descriptive statistics

Standard deviation0.033461089
Coefficient of variation (CV)0.00026008401
Kurtosis-1.2605533
Mean128.65492
Median Absolute Deviation (MAD)0.022203
Skewness0.43556361
Sum7847.9504
Variance0.0011196445
MonotonicityNot monotonic
2023-12-13T02:13:02.508955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
128.6873219 10
 
16.4%
128.6403625 4
 
6.6%
128.628276 3
 
4.9%
128.6688293 2
 
3.3%
128.6969378 1
 
1.6%
128.6190113 1
 
1.6%
128.6098843 1
 
1.6%
128.6786166 1
 
1.6%
128.6181595 1
 
1.6%
128.6496169 1
 
1.6%
Other values (36) 36
59.0%
ValueCountFrequency (%)
128.6088948 1
1.6%
128.6098843 1
1.6%
128.6117596 1
1.6%
128.6123804 1
1.6%
128.6152725 1
1.6%
128.6181464 1
1.6%
128.6181595 1
1.6%
128.6187954 1
1.6%
128.6190113 1
1.6%
128.6199684 1
1.6%
ValueCountFrequency (%)
128.7223104 1
1.6%
128.7153593 1
1.6%
128.7112839 1
1.6%
128.7106321 1
1.6%
128.7095406 1
1.6%
128.7083551 1
1.6%
128.6998572 1
1.6%
128.697183 1
1.6%
128.6969378 1
1.6%
128.694911 1
1.6%

좌표정보(Y)
Real number (ℝ)

Distinct46
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.837071
Minimum35.81046
Maximum35.868548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T02:13:02.677394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.81046
5-th percentile35.821069
Q135.829281
median35.835263
Q335.843357
95-th percentile35.859373
Maximum35.868548
Range0.05808811
Interquartile range (IQR)0.01407609

Descriptive statistics

Standard deviation0.012921945
Coefficient of variation (CV)0.0003605748
Kurtosis0.13613117
Mean35.837071
Median Absolute Deviation (MAD)0.00733714
Skewness0.5270457
Sum2186.0614
Variance0.00016697666
MonotonicityNot monotonic
2023-12-13T02:13:02.844096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
35.83166106 10
 
16.4%
35.82106901 4
 
6.6%
35.82928093 3
 
4.9%
35.82800708 2
 
3.3%
35.83643666 1
 
1.6%
35.85476452 1
 
1.6%
35.84125537 1
 
1.6%
35.85823653 1
 
1.6%
35.83920303 1
 
1.6%
35.85525155 1
 
1.6%
Other values (36) 36
59.0%
ValueCountFrequency (%)
35.81045975 1
 
1.6%
35.81138773 1
 
1.6%
35.82106901 4
6.6%
35.82120933 1
 
1.6%
35.82323848 1
 
1.6%
35.82397792 1
 
1.6%
35.82408167 1
 
1.6%
35.82673606 1
 
1.6%
35.82685031 1
 
1.6%
35.82689497 1
 
1.6%
ValueCountFrequency (%)
35.86854786 1
1.6%
35.86685237 1
1.6%
35.86676169 1
1.6%
35.85937259 1
1.6%
35.85823653 1
1.6%
35.85765894 1
1.6%
35.85604157 1
1.6%
35.85525155 1
1.6%
35.85476452 1
1.6%
35.8479212 1
1.6%

Interactions

2023-12-13T02:12:58.509031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:57.876823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:58.176468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:58.617385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:57.964174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:58.297124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:58.723176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:58.073818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:12:58.391538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:13:02.950999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명도로명주소소재지좌표정보(X)좌표정보(Y)
연번1.0001.0000.9440.9480.8020.754
사업장명1.0001.0001.0001.0001.0001.000
도로명주소0.9441.0001.0001.0001.0001.000
소재지0.9481.0001.0001.0001.0001.000
좌표정보(X)0.8021.0001.0001.0001.0000.742
좌표정보(Y)0.7541.0001.0001.0000.7421.000
2023-12-13T02:13:03.082252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번좌표정보(X)좌표정보(Y)
연번1.0000.188-0.244
좌표정보(X)0.1881.000-0.077
좌표정보(Y)-0.244-0.0771.000

Missing values

2023-12-13T02:12:58.853439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:12:58.965135image/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

연번사업장명도로명주소소재지좌표정보(X)좌표정보(Y)
01선한이웃 작은도서관대구광역시 수성구 시지로 90-4대구광역시 수성구 시지로 90-4 (시지동, 2층)128.69693835.836437
12술술어린이도서관대구광역시 수성구 욱수천로 77대구광역시 수성구 달구벌대로651길 23 (신매동, 시지3차보성A상가 201/201)128.71128435.835289
23동광독서문화원대구광역시 수성구 달구벌대로456길 43대구광역시 수성구 달구벌대로456길 43, 102/202 (수성4가, 수성영남타운)128.6117635.857659
34아름다운 창대문고대구광역시 수성구 파동로18길 36대구광역시 수성구 파동로18길 36 (파동, 창대교회)128.61996835.811388
45신동산문고대구광역시 수성구 희망로 93대구광역시 수성구 희망로 93, 2층 (중동)128.60889535.847921
56사월역 작은도서관대구광역시 수성구 달구벌대로 3290대구광역시 수성구 달구벌대로 3290, (사월동, 사월역 지하1층)128.71535935.836761
67성덕영혼의샘터 작은도서관대구광역시 수성구 지산로14안길 56대구광역시 수성구 지산로14안길 56 (지산동, 성덕교회)128.63740935.826736
78후마네르 범어도서관대구광역시 수성구 청호로 435-6대구광역시 수성구 청호로 435-6 (범어동)128.64014635.856042
89꿈가득도서관대구광역시 수성구 청수로 261대구광역시 수성구 청수로 261, 1405/1405(황금동, 캐슬골드파크4단지)128.63826535.841018
910행복한 영어도서관대구광역시 수성구 들안로32길 57대구광역시 수성구 들안로32길 57 (황금동)128.62013735.844366
연번사업장명도로명주소소재지좌표정보(X)좌표정보(Y)
5152CGV대구스타디움제8관대구광역시 수성구 유니버시아드로 140 (대흥동)대구광역시 수성구 대흥동 504 B2F128.68732235.831661
5253CGV대구스타디움제9관대구광역시 수성구 유니버시아드로 140 (대흥동)대구광역시 수성구 대흥동 504 B2F128.68732235.831661
5354CGV대구스타디움 제10관대구광역시 수성구 유니버시아드로 140 (대흥동)대구광역시 수성구 대흥동 504 B2F128.68732235.831661
5455꾀꼬리 극장대구광역시 수성구 동대구로 176 (황금동)대구광역시 수성구 황금동 626128.62779335.846634
5556수성아트피아 용지홀대구광역시 수성구 무학로 180 (지산동)대구광역시 수성구 지산동 1137-3128.62827635.829281
5657수성아트피아 무학홀대구광역시 수성구 무학로 180 (지산동)대구광역시 수성구 지산동 1137-3128.62827635.829281
5758대구메트로아트센터대구광역시 수성구 달구벌대로 2950 대공원역 지하2층대구광역시 수성구 연호동 186-5 대공원역 지하2층128.67998935.8426
5859아트센터 달대구광역시 수성구 천을로 173, 6층 (매호동)대구광역시 수성구 매호동 1058-2128.70954135.843357
5960공간울림 연주홀대구광역시 수성구 범안로64길 18-9 (삼덕동)대구광역시 수성구 삼덕동 552128.66882935.828007
6061공간울림 야외공연장대구광역시 수성구 범안로64길 18-9 (삼덕동)대구광역시 수성구 삼덕동 552128.66882935.828007