Overview

Dataset statistics

Number of variables27
Number of observations26
Missing cells131
Missing cells (%)18.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory231.1 B

Variable types

Text7
Categorical6
DateTime5
Boolean1
Unsupported4
Numeric4

Dataset

Description대구광역시_동구_공공시설개방정보
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15013117&dataSetDetailId=150131171b2393db28203&provdMethod=FILE

Alerts

소재지지번주소 has constant value ""Constant
데이터기준일자 has constant value ""Constant
휴관일 is highly imbalanced (53.0%)Imbalance
사용기준시간 is highly imbalanced (51.5%)Imbalance
사용료 is highly imbalanced (51.5%)Imbalance
관리기관명 is highly imbalanced (51.5%)Imbalance
초과사용단위시간 has 26 (100.0%) missing valuesMissing
초과사용료 has 26 (100.0%) missing valuesMissing
면적 has 1 (3.8%) missing valuesMissing
부대시설정보 has 26 (100.0%) missing valuesMissing
시설사진정보 has 26 (100.0%) missing valuesMissing
소재지지번주소 has 25 (96.2%) missing valuesMissing
홈페이지주소 has 1 (3.8%) missing valuesMissing
개방시설명 has unique valuesUnique
초과사용단위시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
초과사용료 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설사진정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-23 07:11:13.250981
Analysis finished2024-03-23 07:11:14.519917
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방시설명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-23T07:11:14.985821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length13.5
Min length9

Characters and Unicode

Total characters351
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row강동문화체육센터 2층(강당)
2nd row공산동 행정복지센터 회의실
3rd row도평동행정복지센터 회의실
4th row동구보건소 본관5층
5th row동촌동행정복지센터 회의실
ValueCountFrequency (%)
회의실 17
32.7%
신천3동행정복지센터 2
 
3.8%
안심도서관 2
 
3.8%
해안동행정복지센터 1
 
1.9%
효목1동행정복지행정복지센터회의실 1
 
1.9%
지저동행정복지센터 1
 
1.9%
시청각실 1
 
1.9%
세미나실 1
 
1.9%
대회의실 1
 
1.9%
문화의집 1
 
1.9%
Other values (24) 24
46.2%
2024-03-23T07:11:16.169219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
7.4%
동 24
 
6.8%
지 23
 
6.6%
터 22
 
6.3%
행 22
 
6.3%
복 22
 
6.3%
정 22
 
6.3%
센 22
 
6.3%
실 22
 
6.3%
의 20
 
5.7%
Other values (53) 126
35.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
86.9%
Space Separator 26
 
7.4%
Decimal Number 17
 
4.8%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
 
7.9%
지 23
 
7.5%
터 22
 
7.2%
행 22
 
7.2%
복 22
 
7.2%
정 22
 
7.2%
센 22
 
7.2%
실 22
 
7.2%
의 20
 
6.6%
회 19
 
6.2%
Other values (44) 87
28.5%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
1 4
23.5%
3 3
17.6%
4 3
17.6%
5 2
 
11.8%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
86.9%
Common 46
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
 
7.9%
지 23
 
7.5%
터 22
 
7.2%
행 22
 
7.2%
복 22
 
7.2%
정 22
 
7.2%
센 22
 
7.2%
실 22
 
7.2%
의 20
 
6.6%
회 19
 
6.2%
Other values (44) 87
28.5%
Common
ValueCountFrequency (%)
26
56.5%
2 5
 
10.9%
1 4
 
8.7%
3 3
 
6.5%
4 3
 
6.5%
5 2
 
4.3%
. 1
 
2.2%
( 1
 
2.2%
) 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
86.9%
ASCII 46
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
56.5%
2 5
 
10.9%
1 4
 
8.7%
3 3
 
6.5%
4 3
 
6.5%
5 2
 
4.3%
. 1
 
2.2%
( 1
 
2.2%
) 1
 
2.2%
Hangul
ValueCountFrequency (%)
동 24
 
7.9%
지 23
 
7.5%
터 22
 
7.2%
행 22
 
7.2%
복 22
 
7.2%
정 22
 
7.2%
센 22
 
7.2%
실 22
 
7.2%
의 20
 
6.6%
회 19
 
6.2%
Other values (44) 87
28.5%

개방장소명
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-23T07:11:16.823753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length9.0384615
Min length5

Characters and Unicode

Total characters235
Distinct characters43
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

Unique22 ?
Unique (%)84.6%

Sample

1st row강동문화체육센터
2nd row공산동행정복지센터
3rd row도평동행정복지센터
4th row동구보건소
5th row동촌동행정복지센터
ValueCountFrequency (%)
안심도서관 2
 
7.7%
신천3동행정복지센터 2
 
7.7%
강동문화체육센터 1
 
3.8%
공산동행정복지센터 1
 
3.8%
효목1동행정복지센터 1
 
3.8%
해안동행정복지센터 1
 
3.8%
지저동행정복지센터 1
 
3.8%
안심4동행정복지센터 1
 
3.8%
안심2동행정복지센터 1
 
3.8%
안심1동행정복지센터 1
 
3.8%
Other values (14) 14
53.8%
2024-03-23T07:11:18.062284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
 
10.2%
터 22
 
9.4%
센 22
 
9.4%
지 22
 
9.4%
복 21
 
8.9%
정 21
 
8.9%
행 21
 
8.9%
신 10
 
4.3%
안 6
 
2.6%
천 5
 
2.1%
Other values (33) 61
26.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
93.2%
Decimal Number 15
 
6.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
11.0%
터 22
10.0%
센 22
10.0%
지 22
10.0%
복 21
9.6%
정 21
9.6%
행 21
9.6%
신 10
 
4.6%
안 6
 
2.7%
천 5
 
2.3%
Other values (27) 45
20.5%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
1 4
26.7%
3 3
20.0%
4 3
20.0%
5 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
93.2%
Common 16
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
11.0%
터 22
10.0%
센 22
10.0%
지 22
10.0%
복 21
9.6%
정 21
9.6%
행 21
9.6%
신 10
 
4.6%
안 6
 
2.7%
천 5
 
2.3%
Other values (27) 45
20.5%
Common
ValueCountFrequency (%)
2 4
25.0%
1 4
25.0%
3 3
18.8%
4 3
18.8%
. 1
 
6.2%
5 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
93.2%
ASCII 16
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
11.0%
터 22
10.0%
센 22
10.0%
지 22
10.0%
복 21
9.6%
정 21
9.6%
행 21
9.6%
신 10
 
4.6%
안 6
 
2.7%
천 5
 
2.3%
Other values (27) 45
20.5%
ASCII
ValueCountFrequency (%)
2 4
25.0%
1 4
25.0%
3 3
18.8%
4 3
18.8%
. 1
 
6.2%
5 1
 
6.2%

개방시설유형구분
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
회의실
19 
기타
5 
강당
 
1
다목적실
 
1

Length

Max length4
Median length3
Mean length2.8076923
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row기타
2nd row회의실
3rd row회의실
4th row강당
5th row회의실

Common Values

ValueCountFrequency (%)
회의실 19
73.1%
기타 5
 
19.2%
강당 1
 
3.8%
다목적실 1
 
3.8%

Length

2024-03-23T07:11:18.654301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:11:19.085617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회의실 19
73.1%
기타 5
 
19.2%
강당 1
 
3.8%
다목적실 1
 
3.8%

휴관일
Categorical

IMBALANCE 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
토+일+공휴일
22 
월+공휴일
3 
월+화+수+목+금
 
1

Length

Max length9
Median length7
Mean length6.8461538
Min length5

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row월+화+수+목+금
2nd row토+일+공휴일
3rd row토+일+공휴일
4th row토+일+공휴일
5th row토+일+공휴일

Common Values

ValueCountFrequency (%)
토+일+공휴일 22
84.6%
월+공휴일 3
 
11.5%
월+화+수+목+금 1
 
3.8%

Length

2024-03-23T07:11:19.555852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:11:20.038090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토+일+공휴일 22
84.6%
월+공휴일 3
 
11.5%
월+화+수+목+금 1
 
3.8%

평일운영시작시각
Date

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2024-03-23 00:00:00
Maximum2024-03-23 09:00:00
2024-03-23T07:11:20.290750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:20.735590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

평일운영종료시각
Date

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2024-03-23 00:00:00
Maximum2024-03-23 22:00:00
2024-03-23T07:11:21.286664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:21.745228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

주말운영시작시각
Date

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2024-03-23 00:00:00
Maximum2024-03-23 13:00:00
2024-03-23T07:11:22.329497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:22.647133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

주말운영종료시각
Date

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2024-03-23 00:00:00
Maximum2024-03-23 22:00:00
2024-03-23T07:11:23.007934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:23.391724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

유료사용여부
Boolean

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size158.0 B
False
21 
True
5 
ValueCountFrequency (%)
False 21
80.8%
True 5
 
19.2%
2024-03-23T07:11:23.852921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용기준시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
4
3 
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row2
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
4 3
 
11.5%
1 1
 
3.8%
2 1
 
3.8%

Length

2024-03-23T07:11:24.349658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:11:24.871523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
4 3
 
11.5%
1 1
 
3.8%
2 1
 
3.8%

사용료
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
21 
30000
3 
36000
 
1
50000
 
1

Length

Max length5
Median length4
Mean length4.1923077
Min length4

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row36000
2nd row<NA>
3rd row<NA>
4th row50000
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
80.8%
30000 3
 
11.5%
36000 1
 
3.8%
50000 1
 
3.8%

Length

2024-03-23T07:11:25.286658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:11:25.686939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
80.8%
30000 3
 
11.5%
36000 1
 
3.8%
50000 1
 
3.8%

초과사용단위시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

초과사용료
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

수용가능인원수
Real number (ℝ)

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.692308
Minimum15
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-23T07:11:26.274647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile26.25
Q150
median60
Q3100
95-th percentile178
Maximum300
Range285
Interquartile range (IQR)50

Descriptive statistics

Standard deviation57.782883
Coefficient of variation (CV)0.72507478
Kurtosis8.4923343
Mean79.692308
Median Absolute Deviation (MAD)12.5
Skewness2.6392113
Sum2072
Variance3338.8615
MonotonicityNot monotonic
2024-03-23T07:11:26.778583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
50 8
30.8%
100 5
19.2%
60 3
 
11.5%
70 2
 
7.7%
80 2
 
7.7%
200 1
 
3.8%
300 1
 
3.8%
20 1
 
3.8%
15 1
 
3.8%
45 1
 
3.8%
ValueCountFrequency (%)
15 1
 
3.8%
20 1
 
3.8%
45 1
 
3.8%
50 8
30.8%
60 3
 
11.5%
70 2
 
7.7%
80 2
 
7.7%
100 5
19.2%
112 1
 
3.8%
200 1
 
3.8%
ValueCountFrequency (%)
300 1
 
3.8%
200 1
 
3.8%
112 1
 
3.8%
100 5
19.2%
80 2
 
7.7%
70 2
 
7.7%
60 3
 
11.5%
50 8
30.8%
45 1
 
3.8%
20 1
 
3.8%

면적
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)96.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean221.0496
Minimum50
Maximum1098.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-23T07:11:27.354413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile67.6
Q1100
median154
Q3198
95-th percentile579.6
Maximum1098.24
Range1048.24
Interquartile range (IQR)98

Descriptive statistics

Standard deviation226.23476
Coefficient of variation (CV)1.023457
Kurtosis9.3417208
Mean221.0496
Median Absolute Deviation (MAD)54
Skewness2.8619102
Sum5526.24
Variance51182.165
MonotonicityNot monotonic
2024-03-23T07:11:27.804562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
198.0 2
 
7.7%
1098.24 1
 
3.8%
249.0 1
 
3.8%
148.0 1
 
3.8%
450.0 1
 
3.8%
445.0 1
 
3.8%
100.0 1
 
3.8%
154.0 1
 
3.8%
73.0 1
 
3.8%
612.0 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
50.0 1
3.8%
67.0 1
3.8%
70.0 1
3.8%
73.0 1
3.8%
86.0 1
3.8%
90.0 1
3.8%
100.0 1
3.8%
113.0 1
3.8%
120.0 1
3.8%
143.0 1
3.8%
ValueCountFrequency (%)
1098.24 1
3.8%
612.0 1
3.8%
450.0 1
3.8%
445.0 1
3.8%
249.0 1
3.8%
233.0 1
3.8%
198.0 2
7.7%
180.0 1
3.8%
173.0 1
3.8%
171.0 1
3.8%

부대시설정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

신청방법구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
방문
23 
전화
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전화
2nd row방문
3rd row방문
4th row전화
5th row방문

Common Values

ValueCountFrequency (%)
방문 23
88.5%
전화 3
 
11.5%

Length

2024-03-23T07:11:28.209722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:11:28.684754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문 23
88.5%
전화 3
 
11.5%

시설사진정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지도로명주소
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-23T07:11:29.249130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.576923
Min length15

Characters and Unicode

Total characters457
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row대구광역시 동구 동촌역사로3길 33
2nd row대구광역시 동구 팔공로91길 9
3rd row대구광역시 동구 팔공로24길 171
4th row대구광역시 동구 동촌로 79
5th row대구광역시 동구 동촌로11길 5
ValueCountFrequency (%)
대구광역시 26
24.8%
동구 26
24.8%
금호강변로 2
 
1.9%
360 2
 
1.9%
장등로 2
 
1.9%
90 2
 
1.9%
46 2
 
1.9%
98 1
 
1.0%
동부로 1
 
1.0%
6길 1
 
1.0%
Other values (40) 40
38.1%
2024-03-23T07:11:30.702835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
17.3%
구 52
 
11.4%
동 34
 
7.4%
역 27
 
5.9%
대 26
 
5.7%
광 26
 
5.7%
시 26
 
5.7%
로 26
 
5.7%
길 18
 
3.9%
1 13
 
2.8%
Other values (42) 130
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
63.5%
Decimal Number 87
 
19.0%
Space Separator 79
 
17.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 52
17.9%
동 34
11.7%
역 27
9.3%
대 26
9.0%
광 26
9.0%
시 26
9.0%
로 26
9.0%
길 18
 
6.2%
촌 5
 
1.7%
신 3
 
1.0%
Other values (30) 47
16.2%
Decimal Number
ValueCountFrequency (%)
1 13
14.9%
6 11
12.6%
9 10
11.5%
3 10
11.5%
2 10
11.5%
4 8
9.2%
5 8
9.2%
7 7
8.0%
0 6
6.9%
8 4
 
4.6%
Space Separator
ValueCountFrequency (%)
79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 290
63.5%
Common 167
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 52
17.9%
동 34
11.7%
역 27
9.3%
대 26
9.0%
광 26
9.0%
시 26
9.0%
로 26
9.0%
길 18
 
6.2%
촌 5
 
1.7%
신 3
 
1.0%
Other values (30) 47
16.2%
Common
ValueCountFrequency (%)
79
47.3%
1 13
 
7.8%
6 11
 
6.6%
9 10
 
6.0%
3 10
 
6.0%
2 10
 
6.0%
4 8
 
4.8%
5 8
 
4.8%
7 7
 
4.2%
0 6
 
3.6%
Other values (2) 5
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
63.5%
ASCII 167
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
47.3%
1 13
 
7.8%
6 11
 
6.6%
9 10
 
6.0%
3 10
 
6.0%
2 10
 
6.0%
4 8
 
4.8%
5 8
 
4.8%
7 7
 
4.2%
0 6
 
3.6%
Other values (2) 5
 
3.0%
Hangul
ValueCountFrequency (%)
구 52
17.9%
동 34
11.7%
역 27
9.3%
대 26
9.0%
광 26
9.0%
시 26
9.0%
로 26
9.0%
길 18
 
6.2%
촌 5
 
1.7%
신 3
 
1.0%
Other values (30) 47
16.2%

소재지지번주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2024-03-23T07:11:31.367844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters19
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 입석동 893-13
ValueCountFrequency (%)
대구광역시 1
25.0%
동구 1
25.0%
입석동 1
25.0%
893-13 1
25.0%
2024-03-23T07:11:32.487638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3
15.8%
구 2
10.5%
동 2
10.5%
3 2
10.5%
대 1
 
5.3%
광 1
 
5.3%
역 1
 
5.3%
시 1
 
5.3%
입 1
 
5.3%
석 1
 
5.3%
Other values (4) 4
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
52.6%
Decimal Number 5
26.3%
Space Separator 3
 
15.8%
Dash Punctuation 1
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 2
20.0%
동 2
20.0%
대 1
10.0%
광 1
10.0%
역 1
10.0%
시 1
10.0%
입 1
10.0%
석 1
10.0%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
8 1
20.0%
9 1
20.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
52.6%
Common 9
47.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 2
20.0%
동 2
20.0%
대 1
10.0%
광 1
10.0%
역 1
10.0%
시 1
10.0%
입 1
10.0%
석 1
10.0%
Common
ValueCountFrequency (%)
3
33.3%
3 2
22.2%
8 1
 
11.1%
9 1
 
11.1%
- 1
 
11.1%
1 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
52.6%
ASCII 9
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3
33.3%
3 2
22.2%
8 1
 
11.1%
9 1
 
11.1%
- 1
 
11.1%
1 1
 
11.1%
Hangul
ValueCountFrequency (%)
구 2
20.0%
동 2
20.0%
대 1
10.0%
광 1
10.0%
역 1
10.0%
시 1
10.0%
입 1
10.0%
석 1
10.0%

관리기관명
Categorical

IMBALANCE 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
대구광역시 동구청
21 
(재)대구광역시 동구문화재단
3 
강동문화체육센터
 
1
대구광역시 동구보건소
 
1

Length

Max length15
Median length9
Mean length9.7307692
Min length8

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row강동문화체육센터
2nd row대구광역시 동구청
3rd row대구광역시 동구청
4th row대구광역시 동구보건소
5th row대구광역시 동구청

Common Values

ValueCountFrequency (%)
대구광역시 동구청 21
80.8%
(재)대구광역시 동구문화재단 3
 
11.5%
강동문화체육센터 1
 
3.8%
대구광역시 동구보건소 1
 
3.8%

Length

2024-03-23T07:11:33.027942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:11:33.551118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 22
43.1%
동구청 21
41.2%
재)대구광역시 3
 
5.9%
동구문화재단 3
 
5.9%
강동문화체육센터 1
 
2.0%
동구보건소 1
 
2.0%

담당부서명
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-23T07:11:34.354486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11.5
Mean length9.6153846
Min length5

Characters and Unicode

Total characters250
Distinct characters46
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row문화체육과
2nd row공산동행정복지센터
3rd row도평동행정복지센터
4th row보건의약과
5th row동촌동행정복지센터
ValueCountFrequency (%)
문헌정보팀 3
 
10.3%
안심도서관 2
 
6.9%
신천3동행정복지센터 2
 
6.9%
신천4동행정복지센터 1
 
3.4%
문화체육과 1
 
3.4%
공산동행정복지센터 1
 
3.4%
효목1동행정복지센터 1
 
3.4%
해안동행정복지센터 1
 
3.4%
지저동행정복지센터 1
 
3.4%
안심4동행정복지센터 1
 
3.4%
Other values (15) 15
51.7%
2024-03-23T07:11:36.411874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 24
 
9.6%
지 22
 
8.8%
동 22
 
8.8%
터 21
 
8.4%
센 21
 
8.4%
복 21
 
8.4%
행 21
 
8.4%
신 10
 
4.0%
안 6
 
2.4%
천 5
 
2.0%
Other values (36) 77
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
92.4%
Decimal Number 15
 
6.0%
Space Separator 3
 
1.2%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 24
10.4%
지 22
 
9.5%
동 22
 
9.5%
터 21
 
9.1%
센 21
 
9.1%
복 21
 
9.1%
행 21
 
9.1%
신 10
 
4.3%
안 6
 
2.6%
천 5
 
2.2%
Other values (29) 58
25.1%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
1 4
26.7%
4 3
20.0%
3 3
20.0%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
92.4%
Common 19
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 24
10.4%
지 22
 
9.5%
동 22
 
9.5%
터 21
 
9.1%
센 21
 
9.1%
복 21
 
9.1%
행 21
 
9.1%
신 10
 
4.3%
안 6
 
2.6%
천 5
 
2.2%
Other values (29) 58
25.1%
Common
ValueCountFrequency (%)
2 4
21.1%
1 4
21.1%
4 3
15.8%
3
15.8%
3 3
15.8%
. 1
 
5.3%
5 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
92.4%
ASCII 19
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 24
10.4%
지 22
 
9.5%
동 22
 
9.5%
터 21
 
9.1%
센 21
 
9.1%
복 21
 
9.1%
행 21
 
9.1%
신 10
 
4.3%
안 6
 
2.6%
천 5
 
2.2%
Other values (29) 58
25.1%
ASCII
ValueCountFrequency (%)
2 4
21.1%
1 4
21.1%
4 3
15.8%
3
15.8%
3 3
15.8%
. 1
 
5.3%
5 1
 
5.3%

사용안내전화번호
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-23T07:11:37.138848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique22 ?
Unique (%)84.6%

Sample

1st row053-983-7331
2nd row053-662-3320
3rd row053-662-3802
4th row053-662-3205
5th row053-662-3314
ValueCountFrequency (%)
053-980-2604 2
 
7.7%
053-662-3724 2
 
7.7%
053-983-7331 1
 
3.8%
053-662-3320 1
 
3.8%
053-662-3767 1
 
3.8%
053-662-3903 1
 
3.8%
053-662-3844 1
 
3.8%
053-662-3319 1
 
3.8%
053-662-3952 1
 
3.8%
053-662-3922 1
 
3.8%
Other values (14) 14
53.8%
2024-03-23T07:11:38.737709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 61
19.6%
6 55
17.6%
- 52
16.7%
2 38
12.2%
0 37
11.9%
5 29
9.3%
8 11
 
3.5%
4 11
 
3.5%
9 8
 
2.6%
7 7
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 61
23.5%
6 55
21.2%
2 38
14.6%
0 37
14.2%
5 29
11.2%
8 11
 
4.2%
4 11
 
4.2%
9 8
 
3.1%
7 7
 
2.7%
1 3
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 61
19.6%
6 55
17.6%
- 52
16.7%
2 38
12.2%
0 37
11.9%
5 29
9.3%
8 11
 
3.5%
4 11
 
3.5%
9 8
 
2.6%
7 7
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 61
19.6%
6 55
17.6%
- 52
16.7%
2 38
12.2%
0 37
11.9%
5 29
9.3%
8 11
 
3.5%
4 11
 
3.5%
9 8
 
2.6%
7 7
 
2.2%

홈페이지주소
Text

MISSING 

Distinct22
Distinct (%)88.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2024-03-23T07:11:39.452357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length57
Mean length52.16
Min length25

Characters and Unicode

Total characters1304
Distinct characters35
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

Unique20 ?
Unique (%)80.0%

Sample

1st rowhttps://www.dong.daegu.kr/dong/contents.do?mid=0122000000
2nd rowhttps://www.dong.daegu.kr/dong/contents.do?mid=0111000000
3rd rowhttp://www.dong.daegu.kr/health/
4th rowhttps://www.dong.daegu.kr/dong/contents.do?mid=0114000000
5th rowhttps://www.dong.daegu.kr/dong/contents.do?mid=0115000000
ValueCountFrequency (%)
http://www.donggu-lib.kr 3
 
12.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0107000000 2
 
8.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0106000000 1
 
4.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0109000000 1
 
4.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0116000000 1
 
4.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0113000000 1
 
4.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0120000000 1
 
4.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0118000000 1
 
4.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0117000000 1
 
4.0%
https://www.dong.daegu.kr/dong/contents.do?mid=0108000000 1
 
4.0%
Other values (12) 12
48.0%
2024-03-23T07:11:40.844962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 159
12.2%
d 110
 
8.4%
/ 97
 
7.4%
. 93
 
7.1%
t 93
 
7.1%
o 88
 
6.7%
n 88
 
6.7%
w 75
 
5.8%
g 71
 
5.4%
e 44
 
3.4%
Other values (25) 386
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 834
64.0%
Other Punctuation 236
 
18.1%
Decimal Number 210
 
16.1%
Math Symbol 21
 
1.6%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 110
13.2%
t 93
11.2%
o 88
10.6%
n 88
10.6%
w 75
9.0%
g 71
8.5%
e 44
 
5.3%
s 42
 
5.0%
h 27
 
3.2%
k 25
 
3.0%
Other values (9) 171
20.5%
Decimal Number
ValueCountFrequency (%)
0 159
75.7%
1 32
 
15.2%
2 5
 
2.4%
7 3
 
1.4%
4 2
 
1.0%
5 2
 
1.0%
3 2
 
1.0%
8 2
 
1.0%
6 2
 
1.0%
9 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
/ 97
41.1%
. 93
39.4%
: 25
 
10.6%
? 21
 
8.9%
Math Symbol
ValueCountFrequency (%)
= 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 834
64.0%
Common 470
36.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 110
13.2%
t 93
11.2%
o 88
10.6%
n 88
10.6%
w 75
9.0%
g 71
8.5%
e 44
 
5.3%
s 42
 
5.0%
h 27
 
3.2%
k 25
 
3.0%
Other values (9) 171
20.5%
Common
ValueCountFrequency (%)
0 159
33.8%
/ 97
20.6%
. 93
19.8%
1 32
 
6.8%
: 25
 
5.3%
? 21
 
4.5%
= 21
 
4.5%
2 5
 
1.1%
7 3
 
0.6%
- 3
 
0.6%
Other values (6) 11
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 159
12.2%
d 110
 
8.4%
/ 97
 
7.4%
. 93
 
7.1%
t 93
 
7.1%
o 88
 
6.7%
n 88
 
6.7%
w 75
 
5.8%
g 71
 
5.4%
e 44
 
3.4%
Other values (25) 386
29.6%

위도
Real number (ℝ)

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.883114
Minimum35.859022
Maximum35.940234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-23T07:11:41.548295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.859022
5-th percentile35.861749
Q135.872664
median35.880006
Q335.889352
95-th percentile35.910278
Maximum35.940234
Range0.08121201
Interquartile range (IQR)0.01668875

Descriptive statistics

Standard deviation0.016921257
Coefficient of variation (CV)0.00047156603
Kurtosis4.3833142
Mean35.883114
Median Absolute Deviation (MAD)0.008397055
Skewness1.6923969
Sum932.96095
Variance0.00028632895
MonotonicityNot monotonic
2024-03-23T07:11:42.179144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
35.875416 2
 
7.7%
35.859022 2
 
7.7%
35.889976 1
 
3.8%
35.878163 1
 
3.8%
35.881622 1
 
3.8%
35.882079 1
 
3.8%
35.893393 1
 
3.8%
35.870524 1
 
3.8%
35.875431 1
 
3.8%
35.870395 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
35.859022 2
7.7%
35.869928 1
3.8%
35.870395 1
3.8%
35.870524 1
3.8%
35.871472 1
3.8%
35.871746 1
3.8%
35.875416 2
7.7%
35.875431 1
3.8%
35.878163 1
3.8%
35.879584 1
3.8%
ValueCountFrequency (%)
35.94023401 1
3.8%
35.910378 1
3.8%
35.909977 1
3.8%
35.893393 1
3.8%
35.889976 1
3.8%
35.889934 1
3.8%
35.889762 1
3.8%
35.888123 1
3.8%
35.88504618 1
3.8%
35.884297 1
3.8%

경도
Real number (ℝ)

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64899
Minimum128.61271
Maximum128.71084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-23T07:11:42.786223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.61271
5-th percentile128.61517
Q1128.62511
median128.64272
Q3128.66175
95-th percentile128.70205
Maximum128.71084
Range0.098128
Interquartile range (IQR)0.03663525

Descriptive statistics

Standard deviation0.029857576
Coefficient of variation (CV)0.00023208558
Kurtosis-0.35572403
Mean128.64899
Median Absolute Deviation (MAD)0.019012
Skewness0.86062205
Sum3344.8738
Variance0.00089147487
MonotonicityNot monotonic
2024-03-23T07:11:43.345436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
128.623713 2
 
7.7%
128.701875 2
 
7.7%
128.6502996 1
 
3.8%
128.641244 1
 
3.8%
128.644937 1
 
3.8%
128.671677 1
 
3.8%
128.638287 1
 
3.8%
128.710835 1
 
3.8%
128.687069 1
 
3.8%
128.702108 1
 
3.8%
Other values (14) 14
53.8%
ValueCountFrequency (%)
128.612707 1
3.8%
128.6147774 1
3.8%
128.616351 1
3.8%
128.617757 1
3.8%
128.623147 1
3.8%
128.623713 2
7.7%
128.629309 1
3.8%
128.629326 1
3.8%
128.633063 1
3.8%
128.638287 1
3.8%
ValueCountFrequency (%)
128.710835 1
3.8%
128.702108 1
3.8%
128.701875 2
7.7%
128.687069 1
3.8%
128.671677 1
3.8%
128.665258 1
3.8%
128.651215 1
3.8%
128.6502996 1
3.8%
128.650131 1
3.8%
128.649635 1
3.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2024-03-12 00:00:00
Maximum2024-03-12 00:00:00
2024-03-23T07:11:43.850787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:11:44.287361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자
0강동문화체육센터 2층(강당)강동문화체육센터기타월+화+수+목+금00:0000:0013:0022:00Y136000<NA><NA>2001098.24<NA>전화<NA>대구광역시 동구 동촌역사로3길 33대구광역시 동구 입석동 893-13강동문화체육센터문화체육과053-983-7331<NA>35.889976128.65032024-03-12
1공산동 행정복지센터 회의실공산동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>60173.0<NA>방문<NA>대구광역시 동구 팔공로91길 9<NA>대구광역시 동구청공산동행정복지센터053-662-3320https://www.dong.daegu.kr/dong/contents.do?mid=012200000035.940234128.6442062024-03-12
2도평동행정복지센터 회의실도평동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>100171.0<NA>방문<NA>대구광역시 동구 팔공로24길 171<NA>대구광역시 동구청도평동행정복지센터053-662-3802https://www.dong.daegu.kr/dong/contents.do?mid=011100000035.909977128.6501312024-03-12
3동구보건소 본관5층동구보건소강당토+일+공휴일09:0022:0000:0000:00Y250000<NA><NA>300<NA><NA>전화<NA>대구광역시 동구 동촌로 79<NA>대구광역시 동구보건소보건의약과053-662-3205http://www.dong.daegu.kr/health/35.888123128.6512152024-03-12
4동촌동행정복지센터 회의실동촌동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>100143.0<NA>방문<NA>대구광역시 동구 동촌로11길 5<NA>대구광역시 동구청동촌동행정복지센터053-662-3314https://www.dong.daegu.kr/dong/contents.do?mid=011400000035.889934128.6496352024-03-12
5방촌동행정복지센터 회의실방촌동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>50120.0<NA>방문<NA>대구광역시 동구 동촌로48길 26<NA>대구광역시 동구청방촌동행정복지센터053-662-3884https://www.dong.daegu.kr/dong/contents.do?mid=011500000035.880033128.6652582024-03-12
6불로봉무동행정복지센터 회의실불로봉무동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>50113.0<NA>방문<NA>대구광역시 동구 팔공로25길 16<NA>대구광역시 동구청불로봉무동행정복지센터053-662-3823https://www.dong.daegu.kr/dong/contents.do?mid=011200000035.910378128.6392882024-03-12
7신암1동행정복지센터 회의실신암1동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>50233.0<NA>방문<NA>대구광역시 동구 아양로7길 27<NA>대구광역시 동구청신암1동행정복지센터053-662-3604https://www.dong.daegu.kr/dong/contents.do?mid=010100000035.884297128.6163512024-03-12
8신암2동행정복지센터 회의실신암2동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>100198.0<NA>방문<NA>대구광역시 동구 신성로 56<NA>대구광역시 동구청신암2동행정복지센터053-662-3635https://www.dong.daegu.kr/dong/contents.do?mid=010200000035.879979128.6127072024-03-12
9신암3동행정복지센터 회의실신암3동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>70150.0<NA>방문<NA>대구광역시 동구 신암남로 67<NA>대구광역시 동구청신암3동행정복지센터053-662-3642https://www.dong.daegu.kr/dong/contents.do?mid=010300000035.879584128.6231472024-03-12
개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자
16신천도서관 강좌실신천도서관기타월+공휴일09:0020:0009:0017:00Y430000<NA><NA>50155.0<NA>전화<NA>대구광역시 동구 동부로 6길 65<NA>(재)대구광역시 동구문화재단신천도서관 문헌정보팀053-980-2633http://www.donggu-lib.kr/35.871472128.6177572024-03-12
17안심1동행정복지센터 회의실안심1동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>1567.0<NA>방문<NA>대구광역시 동구 율하동로 121<NA>대구광역시 동구청안심1동행정복지센터053-662-3922https://www.dong.daegu.kr/dong/contents.do?mid=011700000035.870395128.7021082024-03-12
18안심2동행정복지센터 회의실안심2동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>5050.0<NA>방문<NA>대구광역시 동구 반야월로1길 28<NA>대구광역시 동구청안심2동행정복지센터053-662-3952https://www.dong.daegu.kr/dong/contents.do?mid=011800000035.875431128.6870692024-03-12
19안심4동행정복지센터 문화의집안심4동행정복지센터다목적실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>60612.0<NA>방문<NA>대구광역시 동구 안심로49길 98<NA>대구광역시 동구청안심4동행정복지센터053-662-3319https://www.dong.daegu.kr/dong/contents.do?mid=012000000035.870524128.7108352024-03-12
20안심도서관 세미나실안심도서관기타월+공휴일09:0022:0009:0017:00Y430000<NA><NA>4573.0<NA>방문<NA>대구광역시 동구 금호강변로 360<NA>(재)대구광역시 동구문화재단안심도서관 문헌정보팀053-980-2604http://www.donggu-lib.kr/35.859022128.7018752024-03-12
21안심도서관 시청각실안심도서관기타월+공휴일09:0022:0009:0017:00Y430000<NA><NA>112154.0<NA>방문<NA>대구광역시 동구 금호강변로 360<NA>(재)대구광역시 동구문화재단안심도서관 문헌정보팀053-980-2604http://www.donggu-lib.kr/35.859022128.7018752024-03-12
22지저동행정복지센터 회의실지저동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>100100.0<NA>방문<NA>대구광역시 동구 해동로3길 80<NA>대구광역시 동구청지저동행정복지센터053-662-3844https://www.dong.daegu.kr/dong/contents.do?mid=011300000035.893393128.6382872024-03-12
23해안동행정복지센터 회의실해안동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>70445.0<NA>방문<NA>대구광역시 동구 방촌로29길 46<NA>대구광역시 동구청해안동행정복지센터053-662-3903https://www.dong.daegu.kr/dong/contents.do?mid=011600000035.882079128.6716772024-03-12
24효목1동행정복지행정복지센터회의실효목1동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>50450.0<NA>방문<NA>대구광역시 동구 화랑로41길 46<NA>대구광역시 동구청효목1동행정복지센터053-662-3767https://www.dong.daegu.kr/dong/contents.do?mid=010900000035.881622128.6449372024-03-12
25효목2동행정복지센터 회의실효목2동행정복지센터회의실토+일+공휴일09:0018:0000:0000:00N<NA><NA><NA><NA>80148.0<NA>방문<NA>대구광역시 동구 화랑로25길 45<NA>대구광역시 동구청효목2동행정복지센터053-662-3782https://www.dong.daegu.kr/dong/contents.do?mid=011000000035.878163128.6412442024-03-12