Overview

Dataset statistics

Number of variables37
Number of observations139
Missing cells2007
Missing cells (%)39.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.2 KiB
Average record size in memory317.9 B

Variable types

Numeric9
Categorical8
Text8
Unsupported11
DateTime1

Dataset

Description2021-06-01
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123051

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (81.2%)Imbalance
인허가취소일자 has 139 (100.0%) missing valuesMissing
폐업일자 has 139 (100.0%) missing valuesMissing
휴업시작일자 has 139 (100.0%) missing valuesMissing
휴업종료일자 has 139 (100.0%) missing valuesMissing
재개업일자 has 139 (100.0%) missing valuesMissing
소재지전화 has 5 (3.6%) missing valuesMissing
소재지면적 has 139 (100.0%) missing valuesMissing
소재지우편번호 has 139 (100.0%) missing valuesMissing
도로명전체주소 has 57 (41.0%) missing valuesMissing
도로명우편번호 has 124 (89.2%) missing valuesMissing
업태구분명 has 139 (100.0%) missing valuesMissing
좌표정보(x) has 40 (28.8%) missing valuesMissing
좌표정보(y) has 40 (28.8%) missing valuesMissing
승려수 has 10 (7.2%) missing valuesMissing
신도수 has 10 (7.2%) missing valuesMissing
창립연대 has 106 (76.3%) missing valuesMissing
유래연혁 has 86 (61.9%) missing valuesMissing
지정취소일자 has 139 (100.0%) missing valuesMissing
지정취소사유 has 139 (100.0%) missing valuesMissing
Unnamed: 36 has 139 (100.0%) missing valuesMissing
번호 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
지정취소일자 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
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
승려수 has 90 (64.7%) zerosZeros
신도수 has 88 (63.3%) zerosZeros

Reproduction

Analysis started2024-04-17 05:27:52.446030
Analysis finished2024-04-17 05:27:53.088044
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70
Minimum1
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:53.149914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q135.5
median70
Q3104.5
95-th percentile132.1
Maximum139
Range138
Interquartile range (IQR)69

Descriptive statistics

Standard deviation40.269923
Coefficient of variation (CV)0.57528461
Kurtosis-1.2
Mean70
Median Absolute Deviation (MAD)35
Skewness0
Sum9730
Variance1621.6667
MonotonicityStrictly increasing
2024-04-17T14:27:53.269167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
97 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
89 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%
130 1
0.7%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전통사찰
139 

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 139
100.0%

Length

2024-04-17T14:27:53.402469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:27:53.497616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통사찰 139
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
03_07_11_P
139 

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 139
100.0%

Length

2024-04-17T14:27:53.600032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:27:53.697864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_11_p 139
100.0%

개방자치단체코드
Real number (ℝ)

Distinct12
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4034388.5
Minimum3260000
Maximum6260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:53.766108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3260000
5-th percentile3260000
Q13260000
median3260000
Q34830000
95-th percentile6260000
Maximum6260000
Range3000000
Interquartile range (IQR)1570000

Descriptive statistics

Standard deviation1296436.1
Coefficient of variation (CV)0.32134637
Kurtosis-0.67596101
Mean4034388.5
Median Absolute Deviation (MAD)0
Skewness1.1527542
Sum5.6078 × 108
Variance1.6807465 × 1012
MonotonicityNot monotonic
2024-04-17T14:27:53.852396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3260000 75
54.0%
6260000 35
25.2%
3400000 6
 
4.3%
3350000 4
 
2.9%
3370000 4
 
2.9%
3270000 3
 
2.2%
3390000 3
 
2.2%
3290000 2
 
1.4%
3300000 2
 
1.4%
3310000 2
 
1.4%
Other values (2) 3
 
2.2%
ValueCountFrequency (%)
3260000 75
54.0%
3270000 3
 
2.2%
3290000 2
 
1.4%
3300000 2
 
1.4%
3310000 2
 
1.4%
3350000 4
 
2.9%
3360000 1
 
0.7%
3370000 4
 
2.9%
3380000 2
 
1.4%
3390000 3
 
2.2%
ValueCountFrequency (%)
6260000 35
25.2%
3400000 6
 
4.3%
3390000 3
 
2.2%
3380000 2
 
1.4%
3370000 4
 
2.9%
3360000 1
 
0.7%
3350000 4
 
2.9%
3310000 2
 
1.4%
3300000 2
 
1.4%
3290000 2
 
1.4%

관리번호
Text

Distinct110
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-17T14:27:54.072746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.7553957
Min length8

Characters and Unicode

Total characters1217
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

Unique104 ?
Unique (%)74.8%

Sample

1st row6260000-033
2nd row3260000-001
3rd row3330000-003
4th row3350000-001
5th row3400000-001
ValueCountFrequency (%)
cdfd1001 11
 
7.9%
cdfd1002 10
 
7.2%
cdfd1003 6
 
4.3%
cdfd1004 4
 
2.9%
cdfd1005 2
 
1.4%
cdfd1006 2
 
1.4%
cdfd1018 1
 
0.7%
cdfd1014 1
 
0.7%
cdfd1015 1
 
0.7%
cdfd1016 1
 
0.7%
Other values (100) 100
71.9%
2024-04-17T14:27:54.668250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 341
28.0%
D 208
17.1%
1 149
12.2%
C 104
 
8.5%
F 104
 
8.5%
6 84
 
6.9%
2 71
 
5.8%
3 39
 
3.2%
- 35
 
2.9%
4 25
 
2.1%
Other values (4) 57
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 766
62.9%
Uppercase Letter 416
34.2%
Dash Punctuation 35
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 341
44.5%
1 149
19.5%
6 84
 
11.0%
2 71
 
9.3%
3 39
 
5.1%
4 25
 
3.3%
5 23
 
3.0%
7 16
 
2.1%
8 9
 
1.2%
9 9
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
D 208
50.0%
C 104
25.0%
F 104
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 801
65.8%
Latin 416
34.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 341
42.6%
1 149
18.6%
6 84
 
10.5%
2 71
 
8.9%
3 39
 
4.9%
- 35
 
4.4%
4 25
 
3.1%
5 23
 
2.9%
7 16
 
2.0%
8 9
 
1.1%
Latin
ValueCountFrequency (%)
D 208
50.0%
C 104
25.0%
F 104
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 341
28.0%
D 208
17.1%
1 149
12.2%
C 104
 
8.5%
F 104
 
8.5%
6 84
 
6.9%
2 71
 
5.8%
3 39
 
3.2%
- 35
 
2.9%
4 25
 
2.1%
Other values (4) 57
 
4.7%

인허가일자
Real number (ℝ)

Distinct28
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19988386
Minimum19880610
Maximum20200813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:54.793493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19880610
5-th percentile19880719
Q119881230
median20030127
Q320030127
95-th percentile20090123
Maximum20200813
Range320203
Interquartile range (IQR)148897

Descriptive statistics

Standard deviation79665.632
Coefficient of variation (CV)0.0039855961
Kurtosis-0.63182217
Mean19988386
Median Absolute Deviation (MAD)0
Skewness-0.10746189
Sum2.7783856 × 109
Variance6.3466129 × 109
MonotonicityNot monotonic
2024-04-17T14:27:54.903344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20030127 74
53.2%
19880719 12
 
8.6%
19881205 11
 
7.9%
20030320 4
 
2.9%
19880610 3
 
2.2%
19890315 3
 
2.2%
19881230 2
 
1.4%
19890302 2
 
1.4%
19890404 2
 
1.4%
19890503 2
 
1.4%
Other values (18) 24
 
17.3%
ValueCountFrequency (%)
19880610 3
 
2.2%
19880719 12
8.6%
19881019 1
 
0.7%
19881130 2
 
1.4%
19881205 11
7.9%
19881213 2
 
1.4%
19881215 1
 
0.7%
19881229 2
 
1.4%
19881230 2
 
1.4%
19890302 2
 
1.4%
ValueCountFrequency (%)
20200813 1
 
0.7%
20180117 1
 
0.7%
20170111 1
 
0.7%
20161226 1
 
0.7%
20150122 2
1.4%
20090130 1
 
0.7%
20090122 1
 
0.7%
20080115 1
 
0.7%
20080111 1
 
0.7%
20030320 4
2.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
139 

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 (%)
1 139
100.0%

Length

2024-04-17T14:27:55.019491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:27:55.097823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 139
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
139 

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 139
100.0%

Length

2024-04-17T14:27:55.180037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:27:55.263673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 139
100.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
05
102 
BBBB
35 
07
 
2

Length

Max length4
Median length2
Mean length2.5035971
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
05 102
73.4%
BBBB 35
 
25.2%
07 2
 
1.4%

Length

2024-04-17T14:27:55.358065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:27:55.452650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05 102
73.4%
bbbb 35
 
25.2%
07 2
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
지정
102 
<NA>
35 
승인
 
2

Length

Max length4
Median length2
Mean length2.5035971
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지정 102
73.4%
<NA> 35
 
25.2%
승인 2
 
1.4%

Length

2024-04-17T14:27:55.552545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:27:55.646687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 102
73.4%
na 35
 
25.2%
승인 2
 
1.4%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

소재지전화
Text

MISSING 

Distinct132
Distinct (%)98.5%
Missing5
Missing (%)3.6%
Memory size1.2 KiB
2024-04-17T14:27:55.834687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8.8358209
Min length8

Characters and Unicode

Total characters1184
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)97.0%

Sample

1st row0515175300
2nd row0517830876
3rd row0515175003
4th row0517213167
5th row0514672390
ValueCountFrequency (%)
0515175300 2
 
1.5%
508-4707 2
 
1.5%
727-2035 1
 
0.7%
051-543-3400 1
 
0.7%
243-2468 1
 
0.7%
244-0547 1
 
0.7%
253-1677 1
 
0.7%
241-1351 1
 
0.7%
243-3165 1
 
0.7%
244-8934 1
 
0.7%
Other values (122) 122
91.0%
2024-04-17T14:27:56.168730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 170
14.4%
2 152
12.8%
4 131
11.1%
0 126
10.6%
1 119
10.1%
- 111
9.4%
7 109
9.2%
3 107
9.0%
6 71
6.0%
8 49
 
4.1%
Other values (2) 39
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1070
90.4%
Dash Punctuation 111
 
9.4%
Close Punctuation 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 170
15.9%
2 152
14.2%
4 131
12.2%
0 126
11.8%
1 119
11.1%
7 109
10.2%
3 107
10.0%
6 71
6.6%
8 49
 
4.6%
9 36
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 170
14.4%
2 152
12.8%
4 131
11.1%
0 126
10.6%
1 119
10.1%
- 111
9.4%
7 109
9.2%
3 107
9.0%
6 71
6.0%
8 49
 
4.1%
Other values (2) 39
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 170
14.4%
2 152
12.8%
4 131
11.1%
0 126
10.6%
1 119
10.1%
- 111
9.4%
7 109
9.2%
3 107
9.0%
6 71
6.0%
8 49
 
4.1%
Other values (2) 39
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

소재지전체주소
Text

Distinct133
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-17T14:27:56.449275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length22.805755
Min length12

Characters and Unicode

Total characters3170
Distinct characters96
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

Unique127 ?
Unique (%)91.4%

Sample

1st row부산광역시 금정구 금성동 5 - 0 정수암 0호
2nd row부산광역시 서구 서대신동3가 산 3
3rd row부산광역시 해운대구 반여동 1575 - 62
4th row부산광역시 금정구 금성동 397번지
5th row부산광역시 기장군 기장읍 연화리 473 - 1
ValueCountFrequency (%)
부산광역시 135
 
20.7%
서구 76
 
11.6%
서대신동3가 19
 
2.9%
산 16
 
2.5%
남부민동 13
 
2.0%
기장군 13
 
2.0%
금정구 9
 
1.4%
아미동2가 8
 
1.2%
금성동 7
 
1.1%
암남동 7
 
1.1%
Other values (230) 350
53.6%
2024-04-17T14:27:56.850085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
514
 
16.2%
산 169
 
5.3%
부 163
 
5.1%
동 151
 
4.8%
시 139
 
4.4%
광 138
 
4.4%
역 135
 
4.3%
1 135
 
4.3%
구 126
 
4.0%
3 118
 
3.7%
Other values (86) 1382
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1968
62.1%
Decimal Number 624
 
19.7%
Space Separator 514
 
16.2%
Dash Punctuation 64
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 169
 
8.6%
부 163
 
8.3%
동 151
 
7.7%
시 139
 
7.1%
광 138
 
7.0%
역 135
 
6.9%
구 126
 
6.4%
지 117
 
5.9%
번 115
 
5.8%
서 101
 
5.1%
Other values (74) 614
31.2%
Decimal Number
ValueCountFrequency (%)
1 135
21.6%
3 118
18.9%
2 87
13.9%
4 63
10.1%
5 48
 
7.7%
6 48
 
7.7%
9 40
 
6.4%
8 32
 
5.1%
7 30
 
4.8%
0 23
 
3.7%
Space Separator
ValueCountFrequency (%)
514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1968
62.1%
Common 1202
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 169
 
8.6%
부 163
 
8.3%
동 151
 
7.7%
시 139
 
7.1%
광 138
 
7.0%
역 135
 
6.9%
구 126
 
6.4%
지 117
 
5.9%
번 115
 
5.8%
서 101
 
5.1%
Other values (74) 614
31.2%
Common
ValueCountFrequency (%)
514
42.8%
1 135
 
11.2%
3 118
 
9.8%
2 87
 
7.2%
- 64
 
5.3%
4 63
 
5.2%
5 48
 
4.0%
6 48
 
4.0%
9 40
 
3.3%
8 32
 
2.7%
Other values (2) 53
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1968
62.1%
ASCII 1202
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
514
42.8%
1 135
 
11.2%
3 118
 
9.8%
2 87
 
7.2%
- 64
 
5.3%
4 63
 
5.2%
5 48
 
4.0%
6 48
 
4.0%
9 40
 
3.3%
8 32
 
2.7%
Other values (2) 53
 
4.4%
Hangul
ValueCountFrequency (%)
산 169
 
8.6%
부 163
 
8.3%
동 151
 
7.7%
시 139
 
7.1%
광 138
 
7.0%
역 135
 
6.9%
구 126
 
6.4%
지 117
 
5.9%
번 115
 
5.8%
서 101
 
5.1%
Other values (74) 614
31.2%

도로명전체주소
Text

MISSING 

Distinct77
Distinct (%)93.9%
Missing57
Missing (%)41.0%
Memory size1.2 KiB
2024-04-17T14:27:57.115579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length27.5
Min length21

Characters and Unicode

Total characters2255
Distinct characters128
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

Unique72 ?
Unique (%)87.8%

Sample

1st row부산광역시 금정구 북문로 160-0, 0동 (금성동,정수암)
2nd row부산광역시 서구 엄광산로40번길 121-22 (서대신동3가)
3rd row부산광역시 해운대구 재반로282번길 113 (반여동)
4th row부산광역시 기장군 기장읍 기장해안로 340
5th row부산광역시 기장군 장안읍 장안로 482
ValueCountFrequency (%)
부산광역시 82
 
19.7%
서구 38
 
9.1%
기장군 9
 
2.2%
서대신동3가 8
 
1.9%
금정구 7
 
1.7%
남부민동 6
 
1.4%
연제구 5
 
1.2%
북문로 5
 
1.2%
사상구 5
 
1.2%
동구 4
 
1.0%
Other values (173) 247
59.4%
2024-04-17T14:27:57.508214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
381
 
16.9%
산 97
 
4.3%
부 93
 
4.1%
동 92
 
4.1%
광 87
 
3.9%
시 86
 
3.8%
역 82
 
3.6%
구 79
 
3.5%
로 79
 
3.5%
1 74
 
3.3%
Other values (118) 1105
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1303
57.8%
Decimal Number 388
 
17.2%
Space Separator 381
 
16.9%
Open Punctuation 73
 
3.2%
Close Punctuation 73
 
3.2%
Dash Punctuation 31
 
1.4%
Other Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 97
 
7.4%
부 93
 
7.1%
동 92
 
7.1%
광 87
 
6.7%
시 86
 
6.6%
역 82
 
6.3%
구 79
 
6.1%
로 79
 
6.1%
서 49
 
3.8%
길 42
 
3.2%
Other values (103) 517
39.7%
Decimal Number
ValueCountFrequency (%)
1 74
19.1%
2 58
14.9%
3 53
13.7%
5 38
9.8%
0 34
8.8%
4 31
8.0%
8 29
 
7.5%
7 28
 
7.2%
6 24
 
6.2%
9 19
 
4.9%
Space Separator
ValueCountFrequency (%)
381
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1303
57.8%
Common 952
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 97
 
7.4%
부 93
 
7.1%
동 92
 
7.1%
광 87
 
6.7%
시 86
 
6.6%
역 82
 
6.3%
구 79
 
6.1%
로 79
 
6.1%
서 49
 
3.8%
길 42
 
3.2%
Other values (103) 517
39.7%
Common
ValueCountFrequency (%)
381
40.0%
1 74
 
7.8%
( 73
 
7.7%
) 73
 
7.7%
2 58
 
6.1%
3 53
 
5.6%
5 38
 
4.0%
0 34
 
3.6%
4 31
 
3.3%
- 31
 
3.3%
Other values (5) 106
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1303
57.8%
ASCII 952
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
381
40.0%
1 74
 
7.8%
( 73
 
7.7%
) 73
 
7.7%
2 58
 
6.1%
3 53
 
5.6%
5 38
 
4.0%
0 34
 
3.6%
4 31
 
3.3%
- 31
 
3.3%
Other values (5) 106
 
11.1%
Hangul
ValueCountFrequency (%)
산 97
 
7.4%
부 93
 
7.1%
동 92
 
7.1%
광 87
 
6.7%
시 86
 
6.6%
역 82
 
6.3%
구 79
 
6.1%
로 79
 
6.1%
서 49
 
3.8%
길 42
 
3.2%
Other values (103) 517
39.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)93.3%
Missing124
Missing (%)89.2%
Infinite0
Infinite (%)0.0%
Mean538544.13
Minimum46051
Maximum619951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:57.618914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46051
5-th percentile46155.3
Q1607431
median613827
Q3619357.5
95-th percentile619951
Maximum619951
Range573900
Interquartile range (IQR)11926.5

Descriptive statistics

Standard deviation200002.25
Coefficient of variation (CV)0.37137579
Kurtosis4.3370375
Mean538544.13
Median Absolute Deviation (MAD)6075
Skewness-2.4008101
Sum8078162
Variance4.00009 × 1010
MonotonicityNot monotonic
2024-04-17T14:27:57.703652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
619951 2
 
1.4%
601823 1
 
0.7%
607030 1
 
0.7%
607832 1
 
0.7%
46200 1
 
0.7%
609420 1
 
0.7%
618813 1
 
0.7%
611823 1
 
0.7%
613827 1
 
0.7%
617810 1
 
0.7%
Other values (4) 4
 
2.9%
(Missing) 124
89.2%
ValueCountFrequency (%)
46051 1
0.7%
46200 1
0.7%
601823 1
0.7%
607030 1
0.7%
607832 1
0.7%
609420 1
0.7%
611823 1
0.7%
613827 1
0.7%
617810 1
0.7%
617817 1
0.7%
ValueCountFrequency (%)
619951 2
1.4%
619912 1
0.7%
619902 1
0.7%
618813 1
0.7%
617817 1
0.7%
617810 1
0.7%
613827 1
0.7%
611823 1
0.7%
609420 1
0.7%
607832 1
0.7%

사업장명
Text

Distinct103
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-17T14:27:57.900358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.647482
Min length3

Characters and Unicode

Total characters507
Distinct characters105
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)50.4%

Sample

1st row정수암
2nd row내원정사
3rd row인지사
4th row국청사
5th row해광사
ValueCountFrequency (%)
정수암 3
 
2.2%
수도사 3
 
2.2%
칠보사 3
 
2.2%
척판암 2
 
1.4%
내원정사 2
 
1.4%
옥련선원 2
 
1.4%
범어사 2
 
1.4%
선암사 2
 
1.4%
광명사 2
 
1.4%
안적사 2
 
1.4%
Other values (93) 116
83.5%
2024-04-17T14:27:58.213505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 100
 
19.7%
암 30
 
5.9%
원 23
 
4.5%
정 22
 
4.3%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (95) 254
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 503
99.2%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 100
 
19.9%
암 30
 
6.0%
원 23
 
4.6%
정 22
 
4.4%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (93) 250
49.7%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 500
98.6%
Common 4
 
0.8%
Han 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 100
20.0%
암 30
 
6.0%
원 23
 
4.6%
정 22
 
4.4%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (90) 247
49.4%
Han
ValueCountFrequency (%)
光 1
33.3%
寺 1
33.3%
仙 1
33.3%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 500
98.6%
ASCII 4
 
0.8%
CJK 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 100
20.0%
암 30
 
6.0%
원 23
 
4.6%
정 22
 
4.4%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (90) 247
49.4%
ASCII
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%
CJK
ValueCountFrequency (%)
光 1
33.3%
寺 1
33.3%
仙 1
33.3%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct139
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0085246 × 1013
Minimum2.0030102 × 1013
Maximum2.0200924 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:58.342705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030102 × 1013
5-th percentile2.0030127 × 1013
Q12.0030127 × 1013
median2.009102 × 1013
Q32.0120209 × 1013
95-th percentile2.0172018 × 1013
Maximum2.0200924 × 1013
Range1.7082203 × 1011
Interquartile range (IQR)9.0081949 × 1010

Descriptive statistics

Standard deviation5.3305071 × 1010
Coefficient of variation (CV)0.0026539416
Kurtosis-1.1670708
Mean2.0085246 × 1013
Median Absolute Deviation (MAD)6.0603977 × 1010
Skewness0.35470092
Sum2.7918492 × 1015
Variance2.8414306 × 1021
MonotonicityNot monotonic
2024-04-17T14:27:58.482363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200813000000 1
 
0.7%
20030127143330 1
 
0.7%
20120209093722 1
 
0.7%
20120209093923 1
 
0.7%
20120209094548 1
 
0.7%
20030127143112 1
 
0.7%
20120209094701 1
 
0.7%
20120209094845 1
 
0.7%
20030127143412 1
 
0.7%
20120209093536 1
 
0.7%
Other values (129) 129
92.8%
ValueCountFrequency (%)
20030102155050 1
0.7%
20030102155541 1
0.7%
20030102160806 1
0.7%
20030127130948 1
0.7%
20030127133317 1
0.7%
20030127133453 1
0.7%
20030127133708 1
0.7%
20030127133823 1
0.7%
20030127134207 1
0.7%
20030127134425 1
0.7%
ValueCountFrequency (%)
20200924181514 1
0.7%
20200924111042 1
0.7%
20200813000000 1
0.7%
20191218175928 1
0.7%
20190503153453 1
0.7%
20180214164545 1
0.7%
20180123000000 1
0.7%
20171117175601 1
0.7%
20170816130318 1
0.7%
20170630103534 1
0.7%

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
135 
U
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 135
97.1%
U 4
 
2.9%

Length

2024-04-17T14:27:58.599392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:27:58.680455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 135
97.1%
u 4
 
2.9%

데이터갱신일자
Date

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2020-09-26 02:40:00
2024-04-17T14:27:58.757190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T14:27:58.842256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)89.9%
Missing40
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean386928.54
Minimum374868.91
Maximum405992.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:58.946194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum374868.91
5-th percentile382630.19
Q1383685.16
median384118.36
Q3388485.32
95-th percentile402091.19
Maximum405992.36
Range31123.457
Interquartile range (IQR)4800.1622

Descriptive statistics

Standard deviation5916.8738
Coefficient of variation (CV)0.015291903
Kurtosis2.5174937
Mean386928.54
Median Absolute Deviation (MAD)926.08001
Skewness1.7094794
Sum38305925
Variance35009396
MonotonicityNot monotonic
2024-04-17T14:27:59.075218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
405992.364002404 2
 
1.4%
397418.336333465 2
 
1.4%
402850.034878332 2
 
1.4%
388841.715231146 2
 
1.4%
390618.790773696 2
 
1.4%
386348.848243151 2
 
1.4%
381711.828756561 2
 
1.4%
390128.214207349 2
 
1.4%
388128.926433503 2
 
1.4%
384968.052973518 2
 
1.4%
Other values (79) 79
56.8%
(Missing) 40
28.8%
ValueCountFrequency (%)
374868.907288523 1
0.7%
381711.828756561 2
1.4%
381800.230003658 1
0.7%
382496.439366842 1
0.7%
382645.054043606 1
0.7%
383012.523996066 1
0.7%
383029.306144618 1
0.7%
383034.996810607 1
0.7%
383050.826570127 1
0.7%
383170.843112658 1
0.7%
ValueCountFrequency (%)
405992.364002404 2
1.4%
402850.034878332 2
1.4%
402605.964021811 1
0.7%
402033.994092187 1
0.7%
401444.954148103 1
0.7%
397511.686921112 1
0.7%
397418.336333465 2
1.4%
396640.154618759 1
0.7%
394507.720318238 1
0.7%
393744.82090588 1
0.7%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)89.9%
Missing40
Missing (%)28.8%
Infinite0
Infinite (%)0.0%
Mean185528.23
Minimum175933.44
Maximum210629.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:59.205802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175933.44
5-th percentile177993.56
Q1179892.91
median181914.85
Q3189058.69
95-th percentile200752.87
Maximum210629.05
Range34695.609
Interquartile range (IQR)9165.7833

Descriptive statistics

Standard deviation8135.4095
Coefficient of variation (CV)0.043849983
Kurtosis1.4486381
Mean185528.23
Median Absolute Deviation (MAD)3374.953
Skewness1.4144575
Sum18367294
Variance66184888
MonotonicityNot monotonic
2024-04-17T14:27:59.333513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205000.387548053 2
 
1.4%
196178.6791474 2
 
1.4%
210629.048098761 2
 
1.4%
193288.271979788 2
 
1.4%
183044.364657129 2
 
1.4%
197602.46424356 2
 
1.4%
188255.271363719 2
 
1.4%
186932.993047382 2
 
1.4%
200280.928194344 2
 
1.4%
182004.720236456 2
 
1.4%
Other values (79) 79
56.8%
(Missing) 40
28.8%
ValueCountFrequency (%)
175933.438831153 1
0.7%
177305.711679131 1
0.7%
177338.581629942 1
0.7%
177432.698588332 1
0.7%
177923.119803168 1
0.7%
178001.383710745 1
0.7%
178025.039613013 1
0.7%
178111.578582436 1
0.7%
178197.976865774 1
0.7%
178209.226905 1
0.7%
ValueCountFrequency (%)
210629.048098761 2
1.4%
210592.091221565 1
0.7%
205000.387548053 2
1.4%
200280.928194344 2
1.4%
199234.667687236 1
0.7%
198491.086563991 1
0.7%
197602.46424356 2
1.4%
197589.289342094 1
0.7%
196868.805187358 1
0.7%
196178.6791474 2
1.4%

승려수
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)10.1%
Missing10
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean1.3565891
Minimum0
Maximum22
Zeros90
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:59.454205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.1094575
Coefficient of variation (CV)2.2921144
Kurtosis18.150501
Mean1.3565891
Median Absolute Deviation (MAD)0
Skewness3.7724331
Sum175
Variance9.6687258
MonotonicityNot monotonic
2024-04-17T14:27:59.541638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 90
64.7%
3 9
 
6.5%
2 8
 
5.8%
1 6
 
4.3%
4 5
 
3.6%
7 2
 
1.4%
8 2
 
1.4%
6 2
 
1.4%
10 1
 
0.7%
5 1
 
0.7%
Other values (3) 3
 
2.2%
(Missing) 10
 
7.2%
ValueCountFrequency (%)
0 90
64.7%
1 6
 
4.3%
2 8
 
5.8%
3 9
 
6.5%
4 5
 
3.6%
5 1
 
0.7%
6 2
 
1.4%
7 2
 
1.4%
8 2
 
1.4%
10 1
 
0.7%
ValueCountFrequency (%)
22 1
 
0.7%
15 1
 
0.7%
12 1
 
0.7%
10 1
 
0.7%
8 2
 
1.4%
7 2
 
1.4%
6 2
 
1.4%
5 1
 
0.7%
4 5
3.6%
3 9
6.5%

신도수
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)15.5%
Missing10
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean711.55039
Minimum0
Maximum20000
Zeros88
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-04-17T14:27:59.635845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3200
95-th percentile2000
Maximum20000
Range20000
Interquartile range (IQR)200

Descriptive statistics

Standard deviation2986.5638
Coefficient of variation (CV)4.1972625
Kurtosis33.154389
Mean711.55039
Median Absolute Deviation (MAD)0
Skewness5.7292366
Sum91790
Variance8919563.2
MonotonicityNot monotonic
2024-04-17T14:27:59.742704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 88
63.3%
500 9
 
6.5%
300 5
 
3.6%
100 4
 
2.9%
200 3
 
2.2%
20000 2
 
1.4%
1200 2
 
1.4%
2000 2
 
1.4%
1500 2
 
1.4%
70 2
 
1.4%
Other values (10) 10
 
7.2%
(Missing) 10
 
7.2%
ValueCountFrequency (%)
0 88
63.3%
50 1
 
0.7%
70 2
 
1.4%
100 4
 
2.9%
200 3
 
2.2%
300 5
 
3.6%
350 1
 
0.7%
400 1
 
0.7%
500 9
 
6.5%
700 1
 
0.7%
ValueCountFrequency (%)
20000 2
1.4%
17000 1
0.7%
9000 1
0.7%
3000 1
0.7%
2500 1
0.7%
2000 2
1.4%
1500 2
1.4%
1450 1
0.7%
1200 2
1.4%
800 1
0.7%

창립연대
Text

MISSING 

Distinct29
Distinct (%)87.9%
Missing106
Missing (%)76.3%
Memory size1.2 KiB
2024-04-17T14:27:59.903604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6969697
Min length2

Characters and Unicode

Total characters122
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)75.8%

Sample

1st row1972
2nd row1975
3rd row1662
4th row1960
5th row1888
ValueCountFrequency (%)
연대미상 2
 
6.1%
1975 2
 
6.1%
659 2
 
6.1%
1880 2
 
6.1%
삼국 1
 
3.0%
1960 1
 
3.0%
1888 1
 
3.0%
1971 1
 
3.0%
1943 1
 
3.0%
1918 1
 
3.0%
Other values (19) 19
57.6%
2024-04-17T14:28:00.191829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 30
24.6%
9 20
16.4%
8 10
 
8.2%
6 10
 
8.2%
0 9
 
7.4%
7 9
 
7.4%
5 9
 
7.4%
2 6
 
4.9%
4 5
 
4.1%
3 4
 
3.3%
Other values (6) 10
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112
91.8%
Other Letter 10
 
8.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
26.8%
9 20
17.9%
8 10
 
8.9%
6 10
 
8.9%
0 9
 
8.0%
7 9
 
8.0%
5 9
 
8.0%
2 6
 
5.4%
4 5
 
4.5%
3 4
 
3.6%
Other Letter
ValueCountFrequency (%)
연 2
20.0%
대 2
20.0%
미 2
20.0%
상 2
20.0%
삼 1
10.0%
국 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
91.8%
Hangul 10
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 30
26.8%
9 20
17.9%
8 10
 
8.9%
6 10
 
8.9%
0 9
 
8.0%
7 9
 
8.0%
5 9
 
8.0%
2 6
 
5.4%
4 5
 
4.5%
3 4
 
3.6%
Hangul
ValueCountFrequency (%)
연 2
20.0%
대 2
20.0%
미 2
20.0%
상 2
20.0%
삼 1
10.0%
국 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
91.8%
Hangul 10
 
8.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 30
26.8%
9 20
17.9%
8 10
 
8.9%
6 10
 
8.9%
0 9
 
8.0%
7 9
 
8.0%
5 9
 
8.0%
2 6
 
5.4%
4 5
 
4.5%
3 4
 
3.6%
Hangul
ValueCountFrequency (%)
연 2
20.0%
대 2
20.0%
미 2
20.0%
상 2
20.0%
삼 1
10.0%
국 1
10.0%

유래연혁
Text

MISSING 

Distinct53
Distinct (%)100.0%
Missing86
Missing (%)61.9%
Memory size1.2 KiB
2024-04-17T14:28:00.446384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length567
Median length112
Mean length113.71698
Min length8

Characters and Unicode

Total characters6027
Distinct characters397
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)100.0%

Sample

1st row신라시대 의상대사가 범어사 창건시에 암자로 건립하였다고 하나 기록은 없으며 현재 건물은 조선중기 우랑선사에 의하여 건립.
2nd row정확한 기원은 전해지지 않으며 지금부터 약 200여년전에 창건되었으며, 일제시대때에는 일본스님이 주지로 있으면서 석조물인 지장보살상과 범종을 조성하였고, 대웅전을 중수하였음.
3rd row조계종 제14교구 본사 범어사에서 교육과 포교를 위하여 1908년 동래포교당이라 칭하여 설립.
4th row1911년 창건하고 1978년에 중수함
5th row조선말(1852년) 점술가 노인이 이곳에 오두막을 지어 이를 지왕당이라하고 마당에 포구나무를 심고 살았으며 사람들이 이 노인을 찾아와 소원을 말하면 신통력으로 정확히 점괘를 알려주어 소원 성취를 함으로서 유명해졌다고 함.
ValueCountFrequency (%)
창건 14
 
1.1%
이 10
 
0.8%
함 9
 
0.7%
지어 9
 
0.7%
문무왕 8
 
0.6%
원효대사가 8
 
0.6%
그 7
 
0.5%
의하면 7
 
0.5%
신라 7
 
0.5%
것을 6
 
0.5%
Other values (898) 1225
93.5%
2024-04-17T14:28:00.831445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1245
 
20.7%
하 152
 
2.5%
이 146
 
2.4%
사 120
 
2.0%
1 119
 
2.0%
년 107
 
1.8%
고 107
 
1.8%
에 103
 
1.7%
건 85
 
1.4%
다 83
 
1.4%
Other values (387) 3760
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4144
68.8%
Space Separator 1245
 
20.7%
Decimal Number 455
 
7.5%
Other Punctuation 107
 
1.8%
Control 26
 
0.4%
Open Punctuation 21
 
0.3%
Close Punctuation 21
 
0.3%
Modifier Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 152
 
3.7%
이 146
 
3.5%
사 120
 
2.9%
년 107
 
2.6%
고 107
 
2.6%
에 103
 
2.5%
건 85
 
2.1%
다 83
 
2.0%
을 83
 
2.0%
대 73
 
1.8%
Other values (370) 3085
74.4%
Decimal Number
ValueCountFrequency (%)
1 119
26.2%
9 66
14.5%
0 48
10.5%
8 46
 
10.1%
5 38
 
8.4%
6 37
 
8.1%
2 34
 
7.5%
3 28
 
6.2%
7 22
 
4.8%
4 17
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 71
66.4%
, 36
33.6%
Space Separator
ValueCountFrequency (%)
1245
100.0%
Control
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4144
68.8%
Common 1883
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 152
 
3.7%
이 146
 
3.5%
사 120
 
2.9%
년 107
 
2.6%
고 107
 
2.6%
에 103
 
2.5%
건 85
 
2.1%
다 83
 
2.0%
을 83
 
2.0%
대 73
 
1.8%
Other values (370) 3085
74.4%
Common
ValueCountFrequency (%)
1245
66.1%
1 119
 
6.3%
. 71
 
3.8%
9 66
 
3.5%
0 48
 
2.5%
8 46
 
2.4%
5 38
 
2.0%
6 37
 
2.0%
, 36
 
1.9%
2 34
 
1.8%
Other values (7) 143
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4142
68.7%
ASCII 1883
31.2%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1245
66.1%
1 119
 
6.3%
. 71
 
3.8%
9 66
 
3.5%
0 48
 
2.5%
8 46
 
2.4%
5 38
 
2.0%
6 37
 
2.0%
, 36
 
1.9%
2 34
 
1.8%
Other values (7) 143
 
7.6%
Hangul
ValueCountFrequency (%)
하 152
 
3.7%
이 146
 
3.5%
사 120
 
2.9%
년 107
 
2.6%
고 107
 
2.6%
에 103
 
2.5%
건 85
 
2.1%
다 83
 
2.0%
을 83
 
2.0%
대 73
 
1.8%
Other values (368) 3083
74.4%
Compat Jamo
ValueCountFrequency (%)
ㅜ 1
50.0%
ㅡ 1
50.0%

지정취소
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
N
104 
A
30 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.1079137
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 104
74.8%
A 30
 
21.6%
<NA> 5
 
3.6%

Length

2024-04-17T14:28:00.954763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T14:28:01.051276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 104
74.8%
a 30
 
21.6%
na 5
 
3.6%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

지정취소사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

전통사찰명
Text

Distinct103
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-04-17T14:28:01.240813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.647482
Min length3

Characters and Unicode

Total characters507
Distinct characters105
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)50.4%

Sample

1st row정수암
2nd row내원정사
3rd row인지사
4th row국청사
5th row해광사
ValueCountFrequency (%)
정수암 3
 
2.2%
수도사 3
 
2.2%
칠보사 3
 
2.2%
척판암 2
 
1.4%
내원정사 2
 
1.4%
옥련선원 2
 
1.4%
범어사 2
 
1.4%
선암사 2
 
1.4%
광명사 2
 
1.4%
안적사 2
 
1.4%
Other values (93) 116
83.5%
2024-04-17T14:28:01.558535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 100
 
19.7%
암 30
 
5.9%
원 23
 
4.5%
정 22
 
4.3%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (95) 254
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 503
99.2%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 100
 
19.9%
암 30
 
6.0%
원 23
 
4.6%
정 22
 
4.4%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (93) 250
49.7%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 500
98.6%
Common 4
 
0.8%
Han 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 100
20.0%
암 30
 
6.0%
원 23
 
4.6%
정 22
 
4.4%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (90) 247
49.4%
Han
ValueCountFrequency (%)
光 1
33.3%
寺 1
33.3%
仙 1
33.3%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 500
98.6%
ASCII 4
 
0.8%
CJK 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 100
20.0%
암 30
 
6.0%
원 23
 
4.6%
정 22
 
4.4%
수 16
 
3.2%
교 14
 
2.8%
불 13
 
2.6%
금 12
 
2.4%
선 12
 
2.4%
대 11
 
2.2%
Other values (90) 247
49.4%
ASCII
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%
CJK
ValueCountFrequency (%)
光 1
33.3%
寺 1
33.3%
仙 1
33.3%

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing139
Missing (%)100.0%
Memory size1.4 KiB

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)승려수신도수창립연대유래연혁지정취소지정취소일자지정취소사유전통사찰명Unnamed: 36
01전통사찰03_07_11_P62600006260000-03320200813<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0515175300<NA><NA>부산광역시 금정구 금성동 5 - 0 정수암 0호부산광역시 금정구 북문로 160-0, 0동 (금성동,정수암)<NA>정수암20200813000000I2020-08-15 00:23:13.0<NA>386377.23212197589.289342<NA><NA><NA><NA><NA><NA><NA>정수암<NA>
12전통사찰03_07_11_P62600003260000-00120090122<NA>1영업/정상BBBB<NA><NA><NA><NA><NA><NA><NA><NA>부산광역시 서구 서대신동3가 산 3부산광역시 서구 엄광산로40번길 121-22 (서대신동3가)<NA>내원정사20131231175111I2018-08-31 23:59:59.0<NA>383288.126941182900.894943<NA><NA>1972<NA>A<NA><NA>내원정사<NA>
23전통사찰03_07_11_P62600003330000-00320150122<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0517830876<NA><NA>부산광역시 해운대구 반여동 1575 - 62부산광역시 해운대구 재반로282번길 113 (반여동)<NA>인지사20160509162545I2018-08-31 23:59:59.0<NA>394507.720318191266.971685314501975<NA><NA><NA><NA>인지사<NA>
34전통사찰03_07_11_P62600003350000-00119890315<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0515175003<NA><NA>부산광역시 금정구 금성동 397번지<NA><NA>국청사20051118153020I2018-08-31 23:59:59.0<NA><NA><NA>320001662신라시대 의상대사가 범어사 창건시에 암자로 건립하였다고 하나 기록은 없으며 현재 건물은 조선중기 우랑선사에 의하여 건립.A<NA><NA>국청사<NA>
45전통사찰03_07_11_P62600003400000-00120180117<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0517213167<NA><NA>부산광역시 기장군 기장읍 연화리 473 - 1부산광역시 기장군 기장읍 기장해안로 340<NA>해광사20180123000000I2018-08-31 23:59:59.0<NA>402605.964022191879.83809825001960<NA>A<NA><NA>해광사<NA>
56전통사찰03_07_11_P62600006260000-00119881230<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0514672390<NA><NA>부산광역시 동구 수정동 1174-8번지<NA><NA>묘심사20051118152804I2018-08-31 23:59:59.0<NA><NA><NA>102001888정확한 기원은 전해지지 않으며 지금부터 약 200여년전에 창건되었으며, 일제시대때에는 일본스님이 주지로 있으면서 석조물인 지장보살상과 범종을 조성하였고, 대웅전을 중수하였음.A<NA><NA>묘심사<NA>
67전통사찰03_07_11_P62600006260000-00219881215<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0515537771<NA><NA>부산광역시 동래구 칠산동 239-2<NA><NA>법륜사20051121132049I2018-08-31 23:59:59.0<NA><NA><NA>220001908조계종 제14교구 본사 범어사에서 교육과 포교를 위하여 1908년 동래포교당이라 칭하여 설립.A<NA><NA>법륜사<NA>
78전통사찰03_07_11_P62600006260000-00319890302<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0516353744<NA><NA>부산광역시 남구 문현동 74-1번지<NA><NA>성암사20051118152847I2018-08-31 23:59:59.0<NA><NA><NA>220019111911년 창건하고 1978년에 중수함A<NA><NA>성암사<NA>
89전통사찰03_07_11_P62600006260000-00419881205<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0515016300<NA><NA>부산광역시 연제구 거제동<NA><NA>금용암20130319092638I2018-08-31 23:59:59.0<NA><NA><NA>75001852조선말(1852년) 점술가 노인이 이곳에 오두막을 지어 이를 지왕당이라하고 마당에 포구나무를 심고 살았으며 사람들이 이 노인을 찾아와 소원을 말하면 신통력으로 정확히 점괘를 알려주어 소원 성취를 함으로서 유명해졌다고 함.A<NA><NA>금용암<NA>
910전통사찰03_07_11_P62600006260000-00519890404<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>0515084707<NA><NA>부산광역시 금정구 금성동 산 1-1 번지<NA><NA>미륵사20200924111042U2020-09-26 02:40:00.0<NA><NA><NA>2500659신라시대 의상대사가 범어사 창건시에 암자로 건립하여 몇차례 중수하여 현재에 이름.A<NA><NA>미륵사<NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)승려수신도수창립연대유래연혁지정취소지정취소일자지정취소사유전통사찰명Unnamed: 36
129130전통사찰03_07_11_P3390000CDFD100119881205<NA>1영업/정상05지정<NA><NA><NA><NA>051)303-7586<NA><NA>부산광역시 사상구 덕포동 21-1번지부산광역시 사상구 백양대로804번길 42-57 (덕포동)<NA>약수암20111108100943I2018-08-31 23:59:59.0<NA>381800.230004188379.18383200<NA>1880년 김경파스님이 창건N<NA><NA>약수암<NA>
130131전통사찰03_07_11_P3390000CDFD100219881205<NA>1영업/정상05지정<NA><NA><NA><NA>051)303-4848<NA><NA>부산광역시 사상구 덕포동 21-2번지부산광역시 사상구 백양대로804번길 42-123 (덕포동)617810선광사20121221104044I2018-08-31 23:59:59.0<NA>381711.828757188255.27136400<NA>1880년 창건되어 1929년 유명심화 보살이 중수하여 현재에 이름N<NA><NA>선광사<NA>
131132전통사찰03_07_11_P3390000CDFD100319880719<NA>1영업/정상05지정<NA><NA><NA><NA>051)332-5671<NA><NA>부산광역시 사상구 모라동 5번지부산광역시 사상구 모라로219번길 173 (모라동)617817운수사20111108100405I2018-08-31 23:59:59.0<NA>383250.970162189006.50400300<NA>구전에 의하면 가락국때 창건되었다고 하고 다른 설에 의하면 원효대사가 부산진구 소재 선암사를 짓고 산을 넘어와 운수사를 지었는데 임란때 소실되었다가 1660년경 중건되었다 하나 믿을 만한 증거는 없음.N<NA><NA>운수사<NA>
132133전통사찰03_07_11_P3400000CDFD100120030320<NA>1영업/정상05지정<NA><NA><NA><NA>051-721-0123<NA><NA>부산광역시 기장군 일광면 횡계리 산 28-1번지부산광역시 기장군 일광면 횡계길 59-112619912월명사20120119112524I2018-08-31 23:59:59.0<NA>401444.954148199234.6676871200<NA>지금부터 100여년전 일광면 횡계리에 거주하는 김규환의 모가 작은 암자를 창건, 유지하다가 다음 은해사 스님에게 인계, 보수, 증축하여 사찰면모를 갖춤. 3대 주지가 법당을 창건하였고 다음 4대, 5대를 거쳐 지금으로부터 약 20여년전에 현거주지가 법당, 산신각, 용왕당등 기타 건물을 정비하여 현재에 이르고 있음N<NA><NA>월명사<NA>
133134전통사찰03_07_11_P3400000CDFD100220030320<NA>1영업/정상05지정<NA><NA><NA><NA>051-727-3547<NA><NA>부산광역시 기장군 장안읍 장안리 606-1번지부산광역시 기장군 장안읍 장안로 490-156619951척판암20120106155839I2018-08-31 23:59:59.0<NA>402033.994092210592.0912221300<NA>원효대사 현재의 불광산 바위틈에 부처를 모시고 수도중이었고, 그 위치에 절을 지어 척판암이라함N<NA><NA>척판암<NA>
134135전통사찰03_07_11_P3400000CDFD100420030320<NA>1영업/정상05지정<NA><NA><NA><NA>051-543-3400<NA><NA>부산광역시 기장군 기장읍 내리 692번지부산광역시 기장군 기장읍 내리길 461-16619902안적사20111030140551I2018-08-31 23:59:59.0<NA>397511.686921192700.2079343100<NA>신라 문무왕 2년(서기 569년)화엄종조인 원효대사가 창건하였고 임진왜란으로 전소된 것을 묘전화상이 복원하여 6.25사변으로 사찰이 황폐화 되어 1965년 문헌과 고증을 찾아 옛모습에 가깝게 복원하였음N<NA><NA>안적사<NA>
135136전통사찰03_07_11_P3400000CDFD100520080111<NA>1영업/정상05지정<NA><NA><NA><NA>727-2035<NA><NA>부산광역시 기장군 장안읍 임랑리 15번지부산광역시 기장군 장안읍 해맞이로 253-38619951묘관음사20120106155734I2018-08-31 23:59:59.0<NA>405992.364002205000.38754812300<NA>묘관음사는 통도사, 범어사, 도리사 등에서 종주로 계시던 운봉 대선사께서 말면에 서기 1934년(불기 2473년)에 가람지를 정하였으며, 그 후 향곡 대선사께서 법맥을 이어 창건하였음N<NA><NA>묘관음사<NA>
136137전통사찰03_07_11_P3400000CDFD100620161226<NA>1영업/정상05지정<NA><NA><NA><NA><NA><NA><NA>부산광역시 기장군 철마면 고촌리 319번지 정광사부산광역시 기장군 철마면 고촌로28번길 7746051고불사20171117175601I2018-08-31 23:59:59.0<NA>397418.336333196178.67914700<NA><NA>N<NA><NA>고불사<NA>
137138전통사찰03_07_11_P3290000CDFD100219880719<NA>1영업/정상07승인<NA><NA><NA><NA>803-7573<NA><NA>부산광역시 부산진구 부암동 628번지<NA><NA>선암사20170630103534I2018-08-31 23:59:59.0<NA>384650.026621188298.22370600<NA>신라 문무왕 15년 원효대사가 창건하여 견강사라 하였다가 768년에 선암사라 부르게 되었다. 1581년 4차에 걸쳐 중수하였고 1868년 중건하였다.N<NA><NA>선암사<NA>
138139전통사찰03_07_11_P3400000CDFD100320030320<NA>1영업/정상07승인<NA><NA><NA><NA>051-727-2393<NA><NA>부산광역시 기장군 장안읍 장안리 598번지<NA><NA>장안사20191218175928U2019-12-20 02:40:00.0<NA>402850.034878210629.0480994500<NA>신라 문무왕 13년(673)에 원효대사가 창건하여 쌍계사라고 했다가 애장왕때 장안사라 개칭하였다고 한다. 1592년 임진왜란으로 불탄것을 1631년 태의대사가 중건하였고, 1941년 각현스님이 중건하였다고 한다.N<NA><NA>장안사<NA>