Overview

Dataset statistics

Number of variables36
Number of observations38
Missing cells450
Missing cells (%)32.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory311.5 B

Variable types

Numeric9
Categorical10
Text8
Unsupported9

Dataset

Description6270000_대구광역시_03_07_11_P_전통사찰_10월
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000086410&dataSetDetailId=DDI_0000086426&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스ID has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
데이터갱신일자 is highly imbalanced (51.2%)Imbalance
지정취소일자 is highly imbalanced (82.4%)Imbalance
인허가취소일자 has 38 (100.0%) missing valuesMissing
폐업일자 has 38 (100.0%) missing valuesMissing
휴업시작일자 has 38 (100.0%) missing valuesMissing
휴업종료일자 has 38 (100.0%) missing valuesMissing
재개업일자 has 38 (100.0%) missing valuesMissing
소재지전화 has 3 (7.9%) missing valuesMissing
소재지면적 has 38 (100.0%) missing valuesMissing
소재지우편번호 has 38 (100.0%) missing valuesMissing
도로명전체주소 has 4 (10.5%) missing valuesMissing
도로명우편번호 has 31 (81.6%) missing valuesMissing
업태구분명 has 38 (100.0%) missing valuesMissing
좌표정보(X) has 2 (5.3%) missing valuesMissing
좌표정보(Y) has 2 (5.3%) missing valuesMissing
승려수 has 17 (44.7%) missing valuesMissing
신도수 has 17 (44.7%) missing valuesMissing
창립연대 has 19 (50.0%) missing valuesMissing
유래연혁 has 13 (34.2%) missing valuesMissing
지정취소사유 has 38 (100.0%) missing valuesMissing
번호 has unique valuesUnique
소재지전체주소 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
승려수 has 12 (31.6%) zerosZeros
신도수 has 13 (34.2%) zerosZeros

Reproduction

Analysis started2023-12-10 19:31:09.212882
Analysis finished2023-12-10 19:31:10.122108
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:10.669250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2023-12-11T04:31:10.916704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
전통사찰
38 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통사찰 38
100.0%

Length

2023-12-11T04:31:11.156851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:11.348775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통사찰 38
100.0%

개방서비스ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
03_07_11_P
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_11_P
2nd row03_07_11_P
3rd row03_07_11_P
4th row03_07_11_P
5th row03_07_11_P

Common Values

ValueCountFrequency (%)
03_07_11_P 38
100.0%

Length

2023-12-11T04:31:11.525411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:11.674025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_11_p 38
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4860263.2
Minimum3410000
Maximum6270000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:11.811999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13447500
median4875000
Q36270000
95-th percentile6270000
Maximum6270000
Range2860000
Interquartile range (IQR)2822500

Descriptive statistics

Standard deviation1428801.2
Coefficient of variation (CV)0.2939761
Kurtosis-2.1133813
Mean4860263.2
Median Absolute Deviation (MAD)1395000
Skewness-0.00061638586
Sum1.8469 × 108
Variance2.0414729 × 1012
MonotonicityIncreasing
2023-12-11T04:31:11.978910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6270000 19
50.0%
3480000 8
21.1%
3420000 6
 
15.8%
3440000 3
 
7.9%
3410000 1
 
2.6%
3470000 1
 
2.6%
ValueCountFrequency (%)
3410000 1
 
2.6%
3420000 6
 
15.8%
3440000 3
 
7.9%
3470000 1
 
2.6%
3480000 8
21.1%
6270000 19
50.0%
ValueCountFrequency (%)
6270000 19
50.0%
3480000 8
21.1%
3470000 1
 
2.6%
3440000 3
 
7.9%
3420000 6
 
15.8%
3410000 1
 
2.6%

관리번호
Text

Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T04:31:12.247734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length9.5
Min length8

Characters and Unicode

Total characters361
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)55.3%

Sample

1st rowCDFD1001
2nd rowCDFD1001
3rd rowCDFD1002
4th rowCDFD1003
5th rowCDFD1004
ValueCountFrequency (%)
cdfd1001 5
 
13.2%
cdfd1003 3
 
7.9%
cdfd1002 3
 
7.9%
cdfd1004 2
 
5.3%
cdfd1005 2
 
5.3%
cdfd1006 2
 
5.3%
3420000-004 1
 
2.6%
3440000-001 1
 
2.6%
3480000-005 1
 
2.6%
3410000-001 1
 
2.6%
Other values (17) 17
44.7%
2023-12-11T04:31:12.739238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 152
42.1%
D 38
 
10.5%
1 30
 
8.3%
4 26
 
7.2%
3 25
 
6.9%
C 19
 
5.3%
F 19
 
5.3%
- 19
 
5.3%
2 12
 
3.3%
8 10
 
2.8%
Other values (4) 11
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 266
73.7%
Uppercase Letter 76
 
21.1%
Dash Punctuation 19
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 152
57.1%
1 30
 
11.3%
4 26
 
9.8%
3 25
 
9.4%
2 12
 
4.5%
8 10
 
3.8%
5 4
 
1.5%
6 3
 
1.1%
7 3
 
1.1%
9 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
D 38
50.0%
C 19
25.0%
F 19
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 285
78.9%
Latin 76
 
21.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 152
53.3%
1 30
 
10.5%
4 26
 
9.1%
3 25
 
8.8%
- 19
 
6.7%
2 12
 
4.2%
8 10
 
3.5%
5 4
 
1.4%
6 3
 
1.1%
7 3
 
1.1%
Latin
ValueCountFrequency (%)
D 38
50.0%
C 19
25.0%
F 19
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 152
42.1%
D 38
 
10.5%
1 30
 
8.3%
4 26
 
7.2%
3 25
 
6.9%
C 19
 
5.3%
F 19
 
5.3%
- 19
 
5.3%
2 12
 
3.3%
8 10
 
2.8%
Other values (4) 11
 
3.0%

인허가일자
Real number (ℝ)

Distinct11
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19877885
Minimum19620917
Maximum19980202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:12.925099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19620917
5-th percentile19880692
Q119880721
median19880728
Q319880913
95-th percentile19888556
Maximum19980202
Range359285
Interquartile range (IQR)192

Descriptive statistics

Standard deviation46364.714
Coefficient of variation (CV)0.0023324772
Kurtosis27.540511
Mean19877885
Median Absolute Deviation (MAD)7
Skewness-4.5090194
Sum7.5535964 × 108
Variance2.1496867 × 109
MonotonicityNot monotonic
2023-12-11T04:31:13.070856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
19880721 12
31.6%
19880728 10
26.3%
19880913 5
13.2%
19881012 3
 
7.9%
19881207 2
 
5.3%
19620917 1
 
2.6%
19980202 1
 
2.6%
19881021 1
 
2.6%
19880528 1
 
2.6%
19880819 1
 
2.6%
ValueCountFrequency (%)
19620917 1
 
2.6%
19880528 1
 
2.6%
19880721 12
31.6%
19880728 10
26.3%
19880819 1
 
2.6%
19880913 5
13.2%
19881012 3
 
7.9%
19881021 1
 
2.6%
19881207 2
 
5.3%
19930202 1
 
2.6%
ValueCountFrequency (%)
19980202 1
 
2.6%
19930202 1
 
2.6%
19881207 2
 
5.3%
19881021 1
 
2.6%
19881012 3
 
7.9%
19880913 5
13.2%
19880819 1
 
2.6%
19880728 10
26.3%
19880721 12
31.6%
19880528 1
 
2.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
38 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 38
100.0%

Length

2023-12-11T04:31:13.286541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:13.446381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 38
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업/정상
38 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 38
100.0%

Length

2023-12-11T04:31:13.608896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:13.776447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 38
100.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
05
19 
BBBB
19 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row05
2nd row05
3rd row05
4th row05
5th row05

Common Values

ValueCountFrequency (%)
05 19
50.0%
BBBB 19
50.0%

Length

2023-12-11T04:31:13.974513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:14.158911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05 19
50.0%
bbbb 19
50.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
지정
19 
<NA>
19 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 19
50.0%
<NA> 19
50.0%

Length

2023-12-11T04:31:14.344334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:14.529418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 19
50.0%
na 19
50.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지전화
Text

MISSING 

Distinct34
Distinct (%)97.1%
Missing3
Missing (%)7.9%
Memory size436.0 B
2023-12-11T04:31:14.801037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.8
Min length8

Characters and Unicode

Total characters378
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

Unique33 ?
Unique (%)94.3%

Sample

1st row256-9651
2nd row053-984-2255
3rd row053-985-5214
4th row053-984-9940
5th row053-653-1572
ValueCountFrequency (%)
053-614-3115 2
 
5.7%
0537673883 1
 
2.9%
0536324844 1
 
2.9%
0534710414 1
 
2.9%
0536531572 1
 
2.9%
0536650225 1
 
2.9%
0539820505 1
 
2.9%
0539844550 1
 
2.9%
0539825006 1
 
2.9%
053-984-2255 1
 
2.9%
Other values (24) 24
68.6%
2023-12-11T04:31:15.404596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 66
17.5%
3 54
14.3%
0 53
14.0%
6 37
9.8%
1 33
8.7%
- 31
8.2%
4 28
7.4%
9 21
 
5.6%
8 21
 
5.6%
2 21
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 347
91.8%
Dash Punctuation 31
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 66
19.0%
3 54
15.6%
0 53
15.3%
6 37
10.7%
1 33
9.5%
4 28
8.1%
9 21
 
6.1%
8 21
 
6.1%
2 21
 
6.1%
7 13
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 66
17.5%
3 54
14.3%
0 53
14.0%
6 37
9.8%
1 33
8.7%
- 31
8.2%
4 28
7.4%
9 21
 
5.6%
8 21
 
5.6%
2 21
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 66
17.5%
3 54
14.3%
0 53
14.0%
6 37
9.8%
1 33
8.7%
- 31
8.2%
4 28
7.4%
9 21
 
5.6%
8 21
 
5.6%
2 21
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지전체주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T04:31:15.762745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length19.789474
Min length14

Characters and Unicode

Total characters752
Distinct characters60
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

Unique38 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 서야동 1-1번지
2nd row대구광역시 동구 도학동 35번지
3rd row대구광역시 동구 중대동 7번지
4th row대구광역시 동구 신무동 356-1번지
5th row대구광역시 동구 능성동 산 1-3번지
ValueCountFrequency (%)
대구광역시 38
21.8%
달성군 16
 
9.2%
동구 12
 
6.9%
남구 6
 
3.4%
산 6
 
3.4%
도학동 4
 
2.3%
가창면 4
 
2.3%
봉덕동 4
 
2.3%
1 4
 
2.3%
화원읍 4
 
2.3%
Other values (53) 76
43.7%
2023-12-11T04:31:16.269400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
23.1%
구 60
 
8.0%
대 42
 
5.6%
광 38
 
5.1%
역 38
 
5.1%
시 38
 
5.1%
동 34
 
4.5%
1 24
 
3.2%
번 19
 
2.5%
지 19
 
2.5%
Other values (50) 266
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
63.8%
Space Separator 174
 
23.1%
Decimal Number 90
 
12.0%
Dash Punctuation 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 60
 
12.5%
대 42
 
8.8%
광 38
 
7.9%
역 38
 
7.9%
시 38
 
7.9%
동 34
 
7.1%
번 19
 
4.0%
지 19
 
4.0%
성 18
 
3.8%
리 18
 
3.8%
Other values (39) 156
32.5%
Decimal Number
ValueCountFrequency (%)
1 24
26.7%
2 15
16.7%
5 12
13.3%
6 8
 
8.9%
8 8
 
8.9%
3 8
 
8.9%
7 7
 
7.8%
4 6
 
6.7%
0 2
 
2.2%
Space Separator
ValueCountFrequency (%)
174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
63.8%
Common 272
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 60
 
12.5%
대 42
 
8.8%
광 38
 
7.9%
역 38
 
7.9%
시 38
 
7.9%
동 34
 
7.1%
번 19
 
4.0%
지 19
 
4.0%
성 18
 
3.8%
리 18
 
3.8%
Other values (39) 156
32.5%
Common
ValueCountFrequency (%)
174
64.0%
1 24
 
8.8%
2 15
 
5.5%
5 12
 
4.4%
6 8
 
2.9%
8 8
 
2.9%
3 8
 
2.9%
- 8
 
2.9%
7 7
 
2.6%
4 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
63.8%
ASCII 272
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
64.0%
1 24
 
8.8%
2 15
 
5.5%
5 12
 
4.4%
6 8
 
2.9%
8 8
 
2.9%
3 8
 
2.9%
- 8
 
2.9%
7 7
 
2.6%
4 6
 
2.2%
Hangul
ValueCountFrequency (%)
구 60
 
12.5%
대 42
 
8.8%
광 38
 
7.9%
역 38
 
7.9%
시 38
 
7.9%
동 34
 
7.1%
번 19
 
4.0%
지 19
 
4.0%
성 18
 
3.8%
리 18
 
3.8%
Other values (39) 156
32.5%

도로명전체주소
Text

MISSING 

Distinct18
Distinct (%)52.9%
Missing4
Missing (%)10.5%
Memory size436.0 B
2023-12-11T04:31:16.569104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length23.558824
Min length21

Characters and Unicode

Total characters801
Distinct characters74
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

Unique2 ?
Unique (%)5.9%

Sample

1st row대구광역시 중구 북성로 19-1 (서야동)
2nd row대구광역시 동구 동화사1길 1 (도학동)
3rd row대구광역시 동구 파계로 741 (중대동)
4th row대구광역시 동구 팔공산로 967-28 (신무동)
5th row대구광역시 동구 갓바위로 350 (능성동)
ValueCountFrequency (%)
대구광역시 34
20.0%
달성군 13
 
7.6%
동구 11
 
6.5%
앞산순환로 6
 
3.5%
남구 6
 
3.5%
봉덕동 4
 
2.4%
도학동 4
 
2.4%
가창면 4
 
2.4%
유가면 3
 
1.8%
달서구 2
 
1.2%
Other values (44) 83
48.8%
2023-12-11T04:31:17.129414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
17.0%
구 55
 
6.9%
대 38
 
4.7%
동 36
 
4.5%
광 34
 
4.2%
역 34
 
4.2%
시 34
 
4.2%
2 24
 
3.0%
) 21
 
2.6%
( 21
 
2.6%
Other values (64) 368
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
61.3%
Space Separator 136
 
17.0%
Decimal Number 120
 
15.0%
Close Punctuation 21
 
2.6%
Open Punctuation 21
 
2.6%
Dash Punctuation 12
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 55
 
11.2%
대 38
 
7.7%
동 36
 
7.3%
광 34
 
6.9%
역 34
 
6.9%
시 34
 
6.9%
로 19
 
3.9%
길 17
 
3.5%
성 16
 
3.3%
달 15
 
3.1%
Other values (50) 193
39.3%
Decimal Number
ValueCountFrequency (%)
2 24
20.0%
1 20
16.7%
4 14
11.7%
5 11
9.2%
6 11
9.2%
7 10
8.3%
0 9
 
7.5%
3 9
 
7.5%
8 6
 
5.0%
9 6
 
5.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
61.3%
Common 310
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 55
 
11.2%
대 38
 
7.7%
동 36
 
7.3%
광 34
 
6.9%
역 34
 
6.9%
시 34
 
6.9%
로 19
 
3.9%
길 17
 
3.5%
성 16
 
3.3%
달 15
 
3.1%
Other values (50) 193
39.3%
Common
ValueCountFrequency (%)
136
43.9%
2 24
 
7.7%
) 21
 
6.8%
( 21
 
6.8%
1 20
 
6.5%
4 14
 
4.5%
- 12
 
3.9%
5 11
 
3.5%
6 11
 
3.5%
7 10
 
3.2%
Other values (4) 30
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
61.3%
ASCII 310
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
43.9%
2 24
 
7.7%
) 21
 
6.8%
( 21
 
6.8%
1 20
 
6.5%
4 14
 
4.5%
- 12
 
3.9%
5 11
 
3.5%
6 11
 
3.5%
7 10
 
3.2%
Other values (4) 30
 
9.7%
Hangul
ValueCountFrequency (%)
구 55
 
11.2%
대 38
 
7.7%
동 36
 
7.3%
광 34
 
6.9%
역 34
 
6.9%
시 34
 
6.9%
로 19
 
3.9%
길 17
 
3.5%
성 16
 
3.3%
달 15
 
3.1%
Other values (50) 193
39.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing31
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean703315.57
Minimum700330
Maximum705827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:17.276287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700330
5-th percentile700585
Q1701315
median704370
Q3705026
95-th percentile705587.9
Maximum705827
Range5497
Interquartile range (IQR)3711

Descriptive statistics

Standard deviation2244.4344
Coefficient of variation (CV)0.0031912196
Kurtosis-2.264492
Mean703315.57
Median Absolute Deviation (MAD)1457
Skewness-0.32656847
Sum4923209
Variance5037486
MonotonicityNot monotonic
2023-12-11T04:31:17.427985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
700330 1
 
2.6%
701450 1
 
2.6%
701180 1
 
2.6%
705022 1
 
2.6%
705030 1
 
2.6%
705827 1
 
2.6%
704370 1
 
2.6%
(Missing) 31
81.6%
ValueCountFrequency (%)
700330 1
2.6%
701180 1
2.6%
701450 1
2.6%
704370 1
2.6%
705022 1
2.6%
705030 1
2.6%
705827 1
2.6%
ValueCountFrequency (%)
705827 1
2.6%
705030 1
2.6%
705022 1
2.6%
704370 1
2.6%
701450 1
2.6%
701180 1
2.6%
700330 1
2.6%

사업장명
Text

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T04:31:17.713658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2105263
Min length3

Characters and Unicode

Total characters122
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대성사
2nd row동화사
3rd row파계사
4th row부인사
5th row관암사
ValueCountFrequency (%)
대성사 2
 
5.3%
임휴사 2
 
5.3%
소재사 2
 
5.3%
현풍포교당 2
 
5.3%
용연사 2
 
5.3%
용문사 2
 
5.3%
운흥사 2
 
5.3%
남지장사 2
 
5.3%
유가사 2
 
5.3%
법장사 2
 
5.3%
Other values (9) 18
47.4%
2023-12-11T04:31:18.289644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0132623 × 1013
Minimum2.0051221 × 1013
Maximum2.0200518 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:18.527030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0051221 × 1013
5-th percentile2.0051221 × 1013
Q12.0083211 × 1013
median2.0145255 × 1013
Q32.0171083 × 1013
95-th percentile2.0200319 × 1013
Maximum2.0200518 × 1013
Range1.4929695 × 1011
Interquartile range (IQR)8.7872541 × 1010

Descriptive statistics

Standard deviation5.530209 × 1010
Coefficient of variation (CV)0.0027468894
Kurtosis-1.29443
Mean2.0132623 × 1013
Median Absolute Deviation (MAD)5.0059984 × 1010
Skewness-0.32650841
Sum7.6503968 × 1014
Variance3.0583212 × 1021
MonotonicityNot monotonic
2023-12-11T04:31:18.749010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
20111030140918 1
 
2.6%
20200331151703 1
 
2.6%
20171011192710 1
 
2.6%
20160712150045 1
 
2.6%
20130812175017 1
 
2.6%
20090106105810 1
 
2.6%
20061208102716 1
 
2.6%
20190312094332 1
 
2.6%
20121213101529 1
 
2.6%
20121213101918 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
20051221140355 1
2.6%
20051221141352 1
2.6%
20051221141738 1
2.6%
20051221142541 1
2.6%
20051221142633 1
2.6%
20051221162322 1
2.6%
20051221162641 1
2.6%
20051221163053 1
2.6%
20061208102716 1
2.6%
20080912114802 1
2.6%
ValueCountFrequency (%)
20200518094320 1
2.6%
20200331151703 1
2.6%
20200317153519 1
2.6%
20200317153433 1
2.6%
20200317153405 1
2.6%
20200317153310 1
2.6%
20200317153234 1
2.6%
20200317153148 1
2.6%
20190312094332 1
2.6%
20171107141003 1
2.6%

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
I
29 
U
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowU
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
I 29
76.3%
U 9
 
23.7%

Length

2023-12-11T04:31:18.978390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:19.130403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
76.3%
u 9
 
23.7%

데이터갱신일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2018-08-31 23:59:59.0
29 
2020-03-19 02:40:00.0
6 
2019-03-14 02:40:00.0
 
1
2020-04-02 02:40:00.0
 
1
2020-05-20 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)7.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-03-19 02:40:00.0
3rd row2020-03-19 02:40:00.0
4th row2020-03-19 02:40:00.0
5th row2020-03-19 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 29
76.3%
2020-03-19 02:40:00.0 6
 
15.8%
2019-03-14 02:40:00.0 1
 
2.6%
2020-04-02 02:40:00.0 1
 
2.6%
2020-05-20 02:40:00.0 1
 
2.6%

Length

2023-12-11T04:31:19.285158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:19.503008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 29
38.2%
23:59:59.0 29
38.2%
02:40:00.0 9
 
11.8%
2020-03-19 6
 
7.9%
2019-03-14 1
 
1.3%
2020-04-02 1
 
1.3%
2020-05-20 1
 
1.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)58.3%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean344408.68
Minimum330723.05
Maximum356375.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:19.701080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum330723.05
5-th percentile334479.81
Q1339089.28
median343908.61
Q3350157.19
95-th percentile354956.99
Maximum356375.98
Range25652.933
Interquartile range (IQR)11067.909

Descriptive statistics

Standard deviation6919.3919
Coefficient of variation (CV)0.020090643
Kurtosis-0.68148086
Mean344408.68
Median Absolute Deviation (MAD)5533.9545
Skewness-0.038431301
Sum12398712
Variance47877984
MonotonicityNot monotonic
2023-12-11T04:31:19.882726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
343018.505397 2
 
5.3%
344232.429015 2
 
5.3%
336523.874176 2
 
5.3%
330723.051179 2
 
5.3%
337386.221764 2
 
5.3%
339089.278771 2
 
5.3%
344870.203207 2
 
5.3%
353559.370847 2
 
5.3%
347429.163283 2
 
5.3%
342290.305769 2
 
5.3%
Other values (11) 16
42.1%
ValueCountFrequency (%)
330723.051179 2
5.3%
335732.065324 1
2.6%
336235.347314 1
2.6%
336523.874176 2
5.3%
337386.221764 2
5.3%
339089.278771 2
5.3%
341009.613914 1
2.6%
341174.720263 1
2.6%
342290.305769 2
5.3%
343018.505397 2
5.3%
ValueCountFrequency (%)
356375.983882 1
2.6%
356116.38018 1
2.6%
354570.520602 2
5.3%
353559.370847 2
5.3%
350755.990556 2
5.3%
350157.187814 2
5.3%
347843.237937 2
5.3%
347429.163283 2
5.3%
344870.203207 2
5.3%
344232.429015 2
5.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)61.1%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean261641.29
Minimum244475.07
Maximum279147.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:20.080789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244475.07
5-th percentile245040.28
Q1252589.11
median259302.38
Q3276486.01
95-th percentile278673.11
Maximum279147.54
Range34672.479
Interquartile range (IQR)23896.895

Descriptive statistics

Standard deviation11949.12
Coefficient of variation (CV)0.045669857
Kurtosis-1.3315969
Mean261641.29
Median Absolute Deviation (MAD)9797.6742
Skewness0.24360447
Sum9419086.5
Variance1.4278148 × 108
MonotonicityNot monotonic
2023-12-11T04:31:20.309948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
264890.836446 2
 
5.3%
259308.722436 2
 
5.3%
245205.639346 2
 
5.3%
250825.607729 2
 
5.3%
253176.944325 2
 
5.3%
254464.698414 2
 
5.3%
278336.223852 2
 
5.3%
259296.038621 2
 
5.3%
249504.70629 2
 
5.3%
259325.080735 2
 
5.3%
Other values (12) 16
42.1%
ValueCountFrequency (%)
244475.06508 1
2.6%
244544.21045 1
2.6%
245205.639346 2
5.3%
246861.633568 1
2.6%
249504.70629 2
5.3%
250825.607729 2
5.3%
253176.944325 2
5.3%
254464.698414 2
5.3%
256935.198813 1
2.6%
257841.782022 1
2.6%
ValueCountFrequency (%)
279147.544285 2
5.3%
278514.970334 2
5.3%
278336.223852 2
5.3%
276798.979491 1
2.6%
276567.03897 1
2.6%
276486.00514 2
5.3%
270023.293347 2
5.3%
264890.836446 2
5.3%
259325.080735 2
5.3%
259308.722436 2
5.3%

승려수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)33.3%
Missing17
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean7.2380952
Minimum0
Maximum100
Zeros12
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:20.505610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile30
Maximum100
Range100
Interquartile range (IQR)4

Descriptive statistics

Standard deviation22.230395
Coefficient of variation (CV)3.0713046
Kurtosis17.053046
Mean7.2380952
Median Absolute Deviation (MAD)0
Skewness4.0482009
Sum152
Variance494.19048
MonotonicityNot monotonic
2023-12-11T04:31:20.686643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 12
31.6%
4 3
 
7.9%
1 2
 
5.3%
100 1
 
2.6%
30 1
 
2.6%
5 1
 
2.6%
3 1
 
2.6%
(Missing) 17
44.7%
ValueCountFrequency (%)
0 12
31.6%
1 2
 
5.3%
3 1
 
2.6%
4 3
 
7.9%
5 1
 
2.6%
30 1
 
2.6%
100 1
 
2.6%
ValueCountFrequency (%)
100 1
 
2.6%
30 1
 
2.6%
5 1
 
2.6%
4 3
 
7.9%
3 1
 
2.6%
1 2
 
5.3%
0 12
31.6%

신도수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)42.9%
Missing17
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean2304.7619
Minimum0
Maximum30000
Zeros13
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-11T04:31:20.848630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3500
95-th percentile6000
Maximum30000
Range30000
Interquartile range (IQR)500

Descriptive statistics

Standard deviation6599.43
Coefficient of variation (CV)2.863389
Kurtosis17.464518
Mean2304.7619
Median Absolute Deviation (MAD)0
Skewness4.0629503
Sum48400
Variance43552476
MonotonicityNot monotonic
2023-12-11T04:31:21.000692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 13
34.2%
30000 1
 
2.6%
500 1
 
2.6%
300 1
 
2.6%
3000 1
 
2.6%
100 1
 
2.6%
5000 1
 
2.6%
3500 1
 
2.6%
6000 1
 
2.6%
(Missing) 17
44.7%
ValueCountFrequency (%)
0 13
34.2%
100 1
 
2.6%
300 1
 
2.6%
500 1
 
2.6%
3000 1
 
2.6%
3500 1
 
2.6%
5000 1
 
2.6%
6000 1
 
2.6%
30000 1
 
2.6%
ValueCountFrequency (%)
30000 1
 
2.6%
6000 1
 
2.6%
5000 1
 
2.6%
3500 1
 
2.6%
3000 1
 
2.6%
500 1
 
2.6%
300 1
 
2.6%
100 1
 
2.6%
0 13
34.2%

창립연대
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing19
Missing (%)50.0%
Memory size436.0 B
2023-12-11T04:31:21.233473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length4.0526316
Min length3

Characters and Unicode

Total characters77
Distinct characters24
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

Unique19 ?
Unique (%)100.0%

Sample

1st row1358
2nd row1930
3rd row1525
4th row826
5th row684
ValueCountFrequency (%)
1358 1
 
5.3%
804 1
 
5.3%
912 1
 
5.3%
1922 1
 
5.3%
670 1
 
5.3%
493 1
 
5.3%
1192 1
 
5.3%
1908 1
 
5.3%
신라시대 1
 
5.3%
1962(중수 1
 
5.3%
Other values (9) 9
47.4%
2023-12-11T04:31:21.743171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 11
14.3%
1 10
13.0%
9 10
13.0%
8 6
 
7.8%
6 5
 
6.5%
0 4
 
5.2%
5 3
 
3.9%
4 3
 
3.9%
7 3
 
3.9%
3 3
 
3.9%
Other values (14) 19
24.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58
75.3%
Other Letter 15
 
19.5%
Open Punctuation 2
 
2.6%
Close Punctuation 2
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 2
13.3%
신 2
13.3%
대 2
13.3%
중 1
6.7%
정 1
6.7%
수 1
6.7%
상 1
6.7%
추 1
6.7%
말 1
6.7%
미 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
2 11
19.0%
1 10
17.2%
9 10
17.2%
8 6
10.3%
6 5
8.6%
0 4
 
6.9%
5 3
 
5.2%
4 3
 
5.2%
7 3
 
5.2%
3 3
 
5.2%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62
80.5%
Hangul 15
 
19.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 11
17.7%
1 10
16.1%
9 10
16.1%
8 6
9.7%
6 5
8.1%
0 4
 
6.5%
5 3
 
4.8%
4 3
 
4.8%
7 3
 
4.8%
3 3
 
4.8%
Other values (2) 4
 
6.5%
Hangul
ValueCountFrequency (%)
라 2
13.3%
신 2
13.3%
대 2
13.3%
중 1
6.7%
정 1
6.7%
수 1
6.7%
상 1
6.7%
추 1
6.7%
말 1
6.7%
미 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
80.5%
Hangul 15
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 11
17.7%
1 10
16.1%
9 10
16.1%
8 6
9.7%
6 5
8.1%
0 4
 
6.5%
5 3
 
4.8%
4 3
 
4.8%
7 3
 
4.8%
3 3
 
4.8%
Other values (2) 4
 
6.5%
Hangul
ValueCountFrequency (%)
라 2
13.3%
신 2
13.3%
대 2
13.3%
중 1
6.7%
정 1
6.7%
수 1
6.7%
상 1
6.7%
추 1
6.7%
말 1
6.7%
미 1
6.7%
Other values (2) 2
13.3%

유래연혁
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing13
Missing (%)34.2%
Memory size436.0 B
2023-12-11T04:31:22.233410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length254
Median length142
Mean length125.76
Min length21

Characters and Unicode

Total characters3144
Distinct characters344
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

Unique25 ?
Unique (%)100.0%

Sample

1st row신라소지왕15년 (493년)극달화상이 창건하여 유가사라 불렀으나 832년 심지왕사가 중건하면서 겨울에도 절 주위에 오동나무꽃이 만발하여 동화사라 불렀음
2nd row파계사는 신라804년(애장왕 5년) 심지왕사가 창건 하였으며, 조선1605년(선조 38년) 계관법사가 임진왜란으로 소실된 것을 중창 하였고, 조선1695년(숙종21년) 현흥대사가 삼창하였다고 함. 절의 좌석 계곡에서 흐르는 물줄기가9군데나 되므로 이물이 흩어지지 못하게 잡아 모은다는 뜻에서 파계사라 함.
3rd row부인사는 선덕여왕 27년인 7세기경 창건하였다는 사전이 있고 또 선덕여왕의 묘가 있으며 그안에 선덕여왕의 영정을 모시고 해마다 음력3월 보름에 동민과 신도들이 사찰에서 선덕제를 지내는 것을 볼 때 부인이란 선덕여왕을 지칭하는 듯하며, 신라시대에는 왕비를 인이라 칭했기 때문에 선덕여왕의 원당이었던 듯하다.
4th row신라 고찰터에 전 종정 백암스님이 1962년 기도중 본 사찰을 복원함.
5th row도동 측백나무숲 인근에 위치한 전통사찰로 관음전, 3층석탑, 관음보살입상 등의 유물이 있음
ValueCountFrequency (%)
창건 7
 
1.0%
신라 7
 
1.0%
있음 7
 
1.0%
그 6
 
0.9%
이 6
 
0.9%
후 6
 
0.9%
함 5
 
0.7%
정면 5
 
0.7%
영조 4
 
0.6%
있어 3
 
0.4%
Other values (551) 627
91.8%
2023-12-11T04:31:22.978708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
673
 
21.4%
사 69
 
2.2%
에 64
 
2.0%
이 64
 
2.0%
하 50
 
1.6%
년 49
 
1.6%
고 46
 
1.5%
가 45
 
1.4%
건 42
 
1.3%
. 41
 
1.3%
Other values (334) 2001
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2151
68.4%
Space Separator 673
 
21.4%
Decimal Number 194
 
6.2%
Other Punctuation 72
 
2.3%
Close Punctuation 18
 
0.6%
Open Punctuation 18
 
0.6%
Control 15
 
0.5%
Uppercase Letter 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 69
 
3.2%
에 64
 
3.0%
이 64
 
3.0%
하 50
 
2.3%
년 49
 
2.3%
고 46
 
2.1%
가 45
 
2.1%
건 42
 
2.0%
으 34
 
1.6%
왕 34
 
1.6%
Other values (315) 1654
76.9%
Decimal Number
ValueCountFrequency (%)
1 37
19.1%
2 27
13.9%
5 24
12.4%
3 23
11.9%
4 16
8.2%
9 16
8.2%
8 15
7.7%
7 14
 
7.2%
6 13
 
6.7%
0 9
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 41
56.9%
, 31
43.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
673
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2151
68.4%
Common 991
31.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 69
 
3.2%
에 64
 
3.0%
이 64
 
3.0%
하 50
 
2.3%
년 49
 
2.3%
고 46
 
2.1%
가 45
 
2.1%
건 42
 
2.0%
으 34
 
1.6%
왕 34
 
1.6%
Other values (315) 1654
76.9%
Common
ValueCountFrequency (%)
673
67.9%
. 41
 
4.1%
1 37
 
3.7%
, 31
 
3.1%
2 27
 
2.7%
5 24
 
2.4%
3 23
 
2.3%
) 18
 
1.8%
( 18
 
1.8%
4 16
 
1.6%
Other values (7) 83
 
8.4%
Latin
ValueCountFrequency (%)
D 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2151
68.4%
ASCII 993
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
673
67.8%
. 41
 
4.1%
1 37
 
3.7%
, 31
 
3.1%
2 27
 
2.7%
5 24
 
2.4%
3 23
 
2.3%
) 18
 
1.8%
( 18
 
1.8%
4 16
 
1.6%
Other values (9) 85
 
8.6%
Hangul
ValueCountFrequency (%)
사 69
 
3.2%
에 64
 
3.0%
이 64
 
3.0%
하 50
 
2.3%
년 49
 
2.3%
고 46
 
2.1%
가 45
 
2.1%
건 42
 
2.0%
으 34
 
1.6%
왕 34
 
1.6%
Other values (315) 1654
76.9%

지정취소
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
N
19 
A
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 19
50.0%
A 19
50.0%

Length

2023-12-11T04:31:23.191634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:23.373652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 19
50.0%
a 19
50.0%

지정취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
19880728
 
1

Length

Max length8
Median length4
Mean length4.1052632
Min length4

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row19880728

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
19880728 1
 
2.6%

Length

2023-12-11T04:31:23.569778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T04:31:23.772490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
19880728 1
 
2.6%

지정취소사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

전통사찰명
Text

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-11T04:31:24.010420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.2105263
Min length3

Characters and Unicode

Total characters122
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대성사
2nd row동화사
3rd row파계사
4th row부인사
5th row관암사
ValueCountFrequency (%)
대성사 2
 
5.3%
임휴사 2
 
5.3%
소재사 2
 
5.3%
현풍포교당 2
 
5.3%
용연사 2
 
5.3%
용문사 2
 
5.3%
운흥사 2
 
5.3%
남지장사 2
 
5.3%
유가사 2
 
5.3%
법장사 2
 
5.3%
Other values (9) 18
47.4%
2023-12-11T04:31:24.518021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 122
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 122
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 122
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 36
29.5%
장 8
 
6.6%
지 4
 
3.3%
화 4
 
3.3%
용 4
 
3.3%
관 4
 
3.3%
대 2
 
1.6%
가 2
 
1.6%
남 2
 
1.6%
운 2
 
1.6%
Other values (27) 54
44.3%

Sample

번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)승려수신도수창립연대유래연혁지정취소지정취소일자지정취소사유전통사찰명
01전통사찰03_07_11_P3410000CDFD100119620917<NA>1영업/정상05지정<NA><NA><NA><NA>256-9651<NA><NA>대구광역시 중구 서야동 1-1번지대구광역시 중구 북성로 19-1 (서야동)700330대성사20111030140918I2018-08-31 23:59:59.0<NA>343018.505397264890.83644600<NA><NA>N<NA><NA>대성사
12전통사찰03_07_11_P3420000CDFD100119880728<NA>1영업/정상05지정<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 도학동 35번지대구광역시 동구 동화사1길 1 (도학동)<NA>동화사20200317153433U2020-03-19 02:40:00.0<NA>353559.370847278336.22385210030000<NA>신라소지왕15년 (493년)극달화상이 창건하여 유가사라 불렀으나 832년 심지왕사가 중건하면서 겨울에도 절 주위에 오동나무꽃이 만발하여 동화사라 불렀음N<NA><NA>동화사
23전통사찰03_07_11_P3420000CDFD100219880728<NA>1영업/정상05지정<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 중대동 7번지대구광역시 동구 파계로 741 (중대동)<NA>파계사20200317153405U2020-03-19 02:40:00.0<NA>347843.237937279147.54428530500<NA>파계사는 신라804년(애장왕 5년) 심지왕사가 창건 하였으며, 조선1605년(선조 38년) 계관법사가 임진왜란으로 소실된 것을 중창 하였고, 조선1695년(숙종21년) 현흥대사가 삼창하였다고 함. 절의 좌석 계곡에서 흐르는 물줄기가9군데나 되므로 이물이 흩어지지 못하게 잡아 모은다는 뜻에서 파계사라 함.N<NA><NA>파계사
34전통사찰03_07_11_P3420000CDFD100319880728<NA>1영업/정상05지정<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신무동 356-1번지대구광역시 동구 팔공산로 967-28 (신무동)701450부인사20200317153310U2020-03-19 02:40:00.0<NA>350755.990556278514.9703345300<NA>부인사는 선덕여왕 27년인 7세기경 창건하였다는 사전이 있고 또 선덕여왕의 묘가 있으며 그안에 선덕여왕의 영정을 모시고 해마다 음력3월 보름에 동민과 신도들이 사찰에서 선덕제를 지내는 것을 볼 때 부인이란 선덕여왕을 지칭하는 듯하며, 신라시대에는 왕비를 인이라 칭했기 때문에 선덕여왕의 원당이었던 듯하다.N<NA><NA>부인사
45전통사찰03_07_11_P3420000CDFD100419980202<NA>1영업/정상05지정<NA><NA><NA><NA>053-984-2255<NA><NA>대구광역시 동구 능성동 산 1-3번지대구광역시 동구 갓바위로 350 (능성동)<NA>관암사20200317153234U2020-03-19 02:40:00.0<NA>356375.983882276798.97949143000<NA>신라 고찰터에 전 종정 백암스님이 1962년 기도중 본 사찰을 복원함.N19880728<NA>관암사
56전통사찰03_07_11_P3420000CDFD100519880728<NA>1영업/정상05지정<NA><NA><NA><NA>053-985-5214<NA><NA>대구광역시 동구 도학동 620번지대구광역시 동구 도장길 243 (도학동)<NA>북지장사20200317153519U2020-03-19 02:40:00.0<NA>354570.520602276486.0051400<NA><NA>N<NA><NA>북지장사
67전통사찰03_07_11_P3420000CDFD100619880913<NA>1영업/정상05지정<NA><NA><NA><NA>053-984-9940<NA><NA>대구광역시 동구 도동 672번지대구광역시 동구 둔산로 535 (도동)701180관음사20200317153148U2020-03-19 02:40:00.0<NA>350157.187814270023.29334700<NA>도동 측백나무숲 인근에 위치한 전통사찰로 관음전, 3층석탑, 관음보살입상 등의 유물이 있음N<NA><NA>관음사
78전통사찰03_07_11_P3440000CDFD100219880913<NA>1영업/정상05지정<NA><NA><NA><NA>053-653-1572<NA><NA>대구광역시 남구 봉덕동 1572번지대구광역시 남구 앞산순환로 574-120 (봉덕동)705022은적사20150107164435I2018-08-31 23:59:59.0<NA>343584.798955259325.08073510<NA><NA>N<NA><NA>은적사
89전통사찰03_07_11_P3440000CDFD100119880913<NA>1영업/정상05지정<NA><NA><NA><NA>053-655-0225<NA><NA>대구광역시 남구 대명동 산 225번지대구광역시 남구 앞산순환로 440 (대명동)705030안일사20111030154757I2018-08-31 23:59:59.0<NA>342290.305769259308.72243600<NA><NA>N<NA><NA>안일사
910전통사찰03_07_11_P3440000CDFD100319880728<NA>1영업/정상05지정<NA><NA><NA><NA>053-471-0414<NA><NA>대구광역시 남구 봉덕동 산 148번지대구광역시 남구 고산3길 96-4 (봉덕동)705827법장사20140402114430I2018-08-31 23:59:59.0<NA>344232.429015259296.0386211100<NA><NA>N<NA><NA>법장사
번호개방서비스명개방서비스ID개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)승려수신도수창립연대유래연혁지정취소지정취소일자지정취소사유전통사찰명
2829전통사찰03_07_11_P62700003420000-00619880728<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0539820505<NA><NA>대구광역시 동구 능성동 산 1 - 2<NA><NA>관암사20121213101529I2018-08-31 23:59:59.0<NA>356116.38018276567.03897<NA><NA>1962(중수)신라고찰터에 전 종정 백암스님이 1962년 기도중 본 사찰을 복원함.A<NA><NA>관암사
2930전통사찰03_07_11_P62700003420000-00519880728<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0539844550<NA><NA>대구광역시 동구 중대동 7대구광역시 동구 파계로 741 (중대동)<NA>파계사20200331151703U2020-04-02 02:40:00.0<NA>347843.237937279147.544285<NA><NA>804신라 애장왕 5년 심지왕사가 창건하고 그 후 조선 선조 때 임진왜란으로 소실된 원통전을 1605년 계관법사가 중건하였으며 1695년 현웅조사가 다시 고쳐 오늘에 이르고 있음.A<NA><NA>파계사
3031전통사찰03_07_11_P62700003420000-00419880728<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0539825006<NA><NA>대구광역시 동구 신무동 356 - 1대구광역시 동구 팔공산로 967-28 (신무동)<NA>부인사20121213101918I2018-08-31 23:59:59.0<NA>350755.990556278514.970334<NA><NA>신라시대신라 선덕여왕(632~647)이 팔공도인으로 부터 이 자리에 호국대가람을 창건할 것을 계시받고 창건.A<NA><NA>부인사
3132전통사찰03_07_11_P62700003480000-00919881012<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0536143115<NA><NA>대구광역시 달성군 현풍면 부리대구광역시 달성군 현풍면 현풍동로27길 54-6<NA>현풍포교당20160622175608I2018-08-31 23:59:59.0<NA>330723.051179245205.639346<NA><NA>19081908년 변설호스님이 유가사와 도성암을 왕래하면서 중계지 포교당을 설립하였음. 한국 동란때에도 소실되지 않은 현풍면의 유일한 사찰이며 1958년 7월15일 김해운 스님이 대웅전과 요사를 중수하였음. 소유자는 유가사로 되어있음.A<NA><NA>현풍포교당
3233전통사찰03_07_11_P62700003420000-00319880728<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0539820511<NA><NA>대구광역시 동구 도학동 620대구광역시 동구 도장길 243 (도학동)<NA>북지장사20151105192834I2018-08-31 23:59:59.0<NA>354570.520602276486.00514<NA><NA>1192고려명종 22년 보조국사 지눌이 창건한 것으로 전해짐.A<NA><NA>북지장사
3334전통사찰03_07_11_P62700003420000-00219880728<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0539820101<NA><NA>대구광역시 동구 도학동 35대구광역시 동구 동화사1길 1 (도학동)<NA>동화사20200518094320U2020-05-20 02:40:00.0<NA>353559.370847278336.223852<NA><NA>493493년 극달화상이 창건하고 유가사라 하였으며 그 후 신라42대 832년 신지왕사가 중창하고 겨울에 오동나무 꽃이 상서롭게 피어 동화사라 이름을 고쳤다.A<NA><NA>동화사
3435전통사찰03_07_11_P62700003420000-00119880913<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0539849940<NA><NA>대구광역시 동구 도동 672대구광역시 동구 둔산로 535 (도동)<NA>관음사20150403101845I2018-08-31 23:59:59.0<NA>350157.187814270023.293347<NA><NA>670신라문무왕 670년 의상대사가 창건A<NA><NA>관음사
3536전통사찰03_07_11_P62700003410000-00119930202<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0532569651<NA><NA>대구광역시 중구 서야동 1 - 1대구광역시 중구 북성로 19-1 (서야동)<NA>대성사20121213102032I2018-08-31 23:59:59.0<NA>343018.505397264890.836446<NA><NA>19221922년 3월에 창건된 것으로 추정되며 창건자 및 유래는 미상임.A<NA><NA>대성사
3637전통사찰03_07_11_P62700003480000-00519880721<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0536160408<NA><NA>대구광역시 달성군 옥포면 반송리 882대구광역시 달성군 옥포면 용연사길 260<NA>용연사20170404200732I2018-08-31 23:59:59.0<NA>337386.221764250825.607729<NA><NA>912옛날 이 절터의 동구에 용추가 있어 등천했다 하여 붙인 용연사는 신라 신덕왕때 보양국사가 창건하였으며 세종1년(1419)에 해운당 천일대사가 중건하였음. 그 후 임란때 완전히 소실하게 되어 청하당인잠, 탄옥, 경천등에 명하여 재건한 바 있으나 다시 효종 1년에 종각만 남기고 소실되었음. 그 후 노숙이, 홍묵, 계홍등 24인과 함께 10년이 걸려 재건하고 지금의 건물은 영조 4년(1728)에 세워진 것이다.A<NA><NA>용연사
3738전통사찰03_07_11_P62700003480000-00719880721<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0536145115<NA><NA>대구광역시 달성군 유가면 양리대구광역시 달성군 유가면 유가사2길 62<NA>유가사20130802165046I2018-08-31 23:59:59.0<NA>336235.347314246861.633568<NA><NA>827신라 흥덕왕 2년 도성국사가 창건하였고 진성여왕 3년(899)에 탐잔선산가 중건, 영조 48년(1772) 낙암선사에 의해 중수되었다. 대웅전은 정면 4칸, 측면 2칸의 맞배 지붕이며 취적루는 정면 4칸, 측면2칸의 맞배지붕임. 속암으로는 수도암, 청신암, 도성암이 있음.A<NA><NA>유가사