Overview

Dataset statistics

Number of variables33
Number of observations63
Missing cells730
Missing cells (%)35.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.4 KiB
Average record size in memory283.1 B

Variable types

Numeric6
Categorical9
DateTime3
Unsupported8
Text7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),승려수,신도수,창립연대,유래연혁,지정취소,지정취소일자,지정취소사유,전통사찰명
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16031/S/1/datasetView.do

Alerts

지정취소사유 has constant value ""Constant
영업상태코드 is highly imbalanced (88.2%)Imbalance
영업상태명 is highly imbalanced (88.2%)Imbalance
창립연대 is highly imbalanced (88.2%)Imbalance
지정취소 is highly imbalanced (53.6%)Imbalance
지정취소일자 is highly imbalanced (82.4%)Imbalance
인허가취소일자 has 63 (100.0%) missing valuesMissing
폐업일자 has 63 (100.0%) missing valuesMissing
휴업시작일자 has 63 (100.0%) missing valuesMissing
휴업종료일자 has 63 (100.0%) missing valuesMissing
재개업일자 has 63 (100.0%) missing valuesMissing
전화번호 has 1 (1.6%) missing valuesMissing
소재지면적 has 63 (100.0%) missing valuesMissing
소재지우편번호 has 63 (100.0%) missing valuesMissing
도로명주소 has 39 (61.9%) missing valuesMissing
도로명우편번호 has 52 (82.5%) missing valuesMissing
업태구분명 has 63 (100.0%) missing valuesMissing
좌표정보(X) has 12 (19.0%) missing valuesMissing
좌표정보(Y) has 12 (19.0%) missing valuesMissing
승려수 has 10 (15.9%) missing valuesMissing
신도수 has 12 (19.0%) missing valuesMissing
유래연혁 has 17 (27.0%) missing valuesMissing
지정취소사유 has 62 (98.4%) missing valuesMissing
전통사찰명 has 9 (14.3%) missing valuesMissing
지번주소 has unique valuesUnique
최종수정일자 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
승려수 has 18 (28.6%) zerosZeros
신도수 has 19 (30.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:59:48.923137
Analysis finished2024-05-11 05:59:49.825239
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct16
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3137936.5
Minimum3000000
Maximum6110000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T14:59:49.897339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13070000
median3080000
Q33120000
95-th percentile3200000
Maximum6110000
Range3110000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation385571.04
Coefficient of variation (CV)0.12287407
Kurtosis59.581416
Mean3137936.5
Median Absolute Deviation (MAD)30000
Skewness7.6184096
Sum1.9769 × 108
Variance1.4866503 × 1011
MonotonicityNot monotonic
2024-05-11T14:59:50.101744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3000000 12
19.0%
3070000 10
15.9%
3080000 8
12.7%
3110000 5
7.9%
3200000 4
 
6.3%
3120000 4
 
6.3%
3090000 4
 
6.3%
3150000 3
 
4.8%
3100000 3
 
4.8%
3190000 3
 
4.8%
Other values (6) 7
11.1%
ValueCountFrequency (%)
3000000 12
19.0%
3030000 1
 
1.6%
3050000 2
 
3.2%
3070000 10
15.9%
3080000 8
12.7%
3090000 4
 
6.3%
3100000 3
 
4.8%
3110000 5
7.9%
3120000 4
 
6.3%
3150000 3
 
4.8%
ValueCountFrequency (%)
6110000 1
 
1.6%
3220000 1
 
1.6%
3210000 1
 
1.6%
3200000 4
6.3%
3190000 3
4.8%
3170000 1
 
1.6%
3150000 3
4.8%
3120000 4
6.3%
3110000 5
7.9%
3100000 3
4.8%

관리번호
Categorical

Distinct13
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
CDFD1001
15 
CDFD1002
11 
CDFD1003
10 
CDFD1004
7 
CDFD1005
4 
Other values (8)
16 

Length

Max length11
Median length8
Mean length8.047619
Min length8

Unique

Unique3 ?
Unique (%)4.8%

Sample

1st rowCDFD1002
2nd rowCDFD1007
3rd rowCDFD1001
4th rowCDFD1001
5th rowCDFD1001

Common Values

ValueCountFrequency (%)
CDFD1001 15
23.8%
CDFD1002 11
17.5%
CDFD1003 10
15.9%
CDFD1004 7
11.1%
CDFD1005 4
 
6.3%
CDFD1007 3
 
4.8%
CDFD1008 3
 
4.8%
CDFD1006 3
 
4.8%
CDFD1010 2
 
3.2%
CDFD1009 2
 
3.2%
Other values (3) 3
 
4.8%

Length

2024-05-11T14:59:50.276663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfd1001 15
23.8%
cdfd1002 11
17.5%
cdfd1003 10
15.9%
cdfd1004 7
11.1%
cdfd1005 4
 
6.3%
cdfd1007 3
 
4.8%
cdfd1008 3
 
4.8%
cdfd1006 3
 
4.8%
cdfd1010 2
 
3.2%
cdfd1009 2
 
3.2%
Other values (3) 3
 
4.8%

인허가일자
Date

Distinct41
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum1988-05-28 00:00:00
Maximum2018-01-04 00:00:00
2024-05-11T14:59:50.449816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:50.615208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
1
62 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 62
98.4%
4 1
 
1.6%

Length

2024-05-11T14:59:50.760070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:50.898906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 62
98.4%
4 1
 
1.6%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
영업/정상
62 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5.1428571
Min length5

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 62
98.4%
취소/말소/만료/정지/중지 1
 
1.6%

Length

2024-05-11T14:59:51.046741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:51.174342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 62
98.4%
취소/말소/만료/정지/중지 1
 
1.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
05
32 
07
27 
BBBB
 
3
06
 
1

Length

Max length4
Median length2
Mean length2.0952381
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row05
2nd row05
3rd row07
4th row07
5th row05

Common Values

ValueCountFrequency (%)
05 32
50.8%
07 27
42.9%
BBBB 3
 
4.8%
06 1
 
1.6%

Length

2024-05-11T14:59:51.347837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:51.538312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05 32
50.8%
07 27
42.9%
bbbb 3
 
4.8%
06 1
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
지정
32 
승인
27 
<NA>
 
3
취소
 
1

Length

Max length4
Median length2
Mean length2.0952381
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
지정 32
50.8%
승인 27
42.9%
<NA> 3
 
4.8%
취소 1
 
1.6%

Length

2024-05-11T14:59:51.748321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:51.932492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정 32
50.8%
승인 27
42.9%
na 3
 
4.8%
취소 1
 
1.6%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

전화번호
Text

MISSING 

Distinct58
Distinct (%)93.5%
Missing1
Missing (%)1.6%
Memory size636.0 B
2024-05-11T14:59:52.214134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.7258065
Min length8

Characters and Unicode

Total characters541
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)87.1%

Sample

1st row02-2662-4736
2nd row762-5861
3rd row962-7390
4th row02)395-4031
5th row379-9665
ValueCountFrequency (%)
02)395-4031 2
 
3.2%
02-954-1474 2
 
3.2%
928-3797 2
 
3.2%
392-3007 2
 
3.2%
359-8410 1
 
1.6%
387-3216 1
 
1.6%
02-2662-4736 1
 
1.6%
353-3004 1
 
1.6%
825-1046 1
 
1.6%
993-3808 1
 
1.6%
Other values (48) 48
77.4%
2024-05-11T14:59:52.890880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 70
12.9%
9 63
11.6%
3 57
10.5%
0 55
10.2%
2 53
9.8%
7 46
8.5%
6 44
8.1%
1 43
7.9%
4 39
7.2%
8 35
6.5%
Other values (4) 36
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 466
86.1%
Dash Punctuation 70
 
12.9%
Close Punctuation 3
 
0.6%
Math Symbol 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 63
13.5%
3 57
12.2%
0 55
11.8%
2 53
11.4%
7 46
9.9%
6 44
9.4%
1 43
9.2%
4 39
8.4%
8 35
7.5%
5 31
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 70
12.9%
9 63
11.6%
3 57
10.5%
0 55
10.2%
2 53
9.8%
7 46
8.5%
6 44
8.1%
1 43
7.9%
4 39
7.2%
8 35
6.5%
Other values (4) 36
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 70
12.9%
9 63
11.6%
3 57
10.5%
0 55
10.2%
2 53
9.8%
7 46
8.5%
6 44
8.1%
1 43
7.9%
4 39
7.2%
8 35
6.5%
Other values (4) 36
6.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

지번주소
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-05-11T14:59:53.329534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length20.539683
Min length16

Characters and Unicode

Total characters1294
Distinct characters94
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

Unique63 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 개화동 산 81-13
2nd row서울특별시 종로구 충신동 15번지
3rd row서울특별시 동대문구 청량리동 61
4th row서울특별시 서대문구 홍은동 8
5th row서울특별시 종로구 구기동 산 1번지
ValueCountFrequency (%)
서울특별시 63
22.6%
산 18
 
6.5%
종로구 13
 
4.7%
성북구 10
 
3.6%
강북구 8
 
2.9%
은평구 5
 
1.8%
수유동 4
 
1.4%
서대문구 4
 
1.4%
도봉구 4
 
1.4%
도봉동 4
 
1.4%
Other values (112) 146
52.3%
2024-05-11T14:59:53.948317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
20.4%
서 72
 
5.6%
동 71
 
5.5%
구 66
 
5.1%
시 64
 
4.9%
특 63
 
4.9%
별 63
 
4.9%
울 63
 
4.9%
1 43
 
3.3%
지 40
 
3.1%
Other values (84) 485
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
63.5%
Space Separator 264
 
20.4%
Decimal Number 184
 
14.2%
Dash Punctuation 24
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 72
 
8.8%
동 71
 
8.6%
구 66
 
8.0%
시 64
 
7.8%
특 63
 
7.7%
별 63
 
7.7%
울 63
 
7.7%
지 40
 
4.9%
번 38
 
4.6%
북 19
 
2.3%
Other values (72) 263
32.0%
Decimal Number
ValueCountFrequency (%)
1 43
23.4%
3 29
15.8%
5 22
12.0%
4 19
10.3%
2 15
 
8.2%
6 13
 
7.1%
9 13
 
7.1%
7 11
 
6.0%
8 11
 
6.0%
0 8
 
4.3%
Space Separator
ValueCountFrequency (%)
264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
63.5%
Common 472
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 72
 
8.8%
동 71
 
8.6%
구 66
 
8.0%
시 64
 
7.8%
특 63
 
7.7%
별 63
 
7.7%
울 63
 
7.7%
지 40
 
4.9%
번 38
 
4.6%
북 19
 
2.3%
Other values (72) 263
32.0%
Common
ValueCountFrequency (%)
264
55.9%
1 43
 
9.1%
3 29
 
6.1%
- 24
 
5.1%
5 22
 
4.7%
4 19
 
4.0%
2 15
 
3.2%
6 13
 
2.8%
9 13
 
2.8%
7 11
 
2.3%
Other values (2) 19
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
63.5%
ASCII 472
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
55.9%
1 43
 
9.1%
3 29
 
6.1%
- 24
 
5.1%
5 22
 
4.7%
4 19
 
4.0%
2 15
 
3.2%
6 13
 
2.8%
9 13
 
2.8%
7 11
 
2.3%
Other values (2) 19
 
4.0%
Hangul
ValueCountFrequency (%)
서 72
 
8.8%
동 71
 
8.6%
구 66
 
8.0%
시 64
 
7.8%
특 63
 
7.7%
별 63
 
7.7%
울 63
 
7.7%
지 40
 
4.9%
번 38
 
4.6%
북 19
 
2.3%
Other values (72) 263
32.0%

도로명주소
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing39
Missing (%)61.9%
Memory size636.0 B
2024-05-11T14:59:54.321443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28.5
Mean length26.875
Min length22

Characters and Unicode

Total characters645
Distinct characters82
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

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 율곡로23길 16 (충신동)
2nd row서울특별시 종로구 비봉4길 213 (구기동)
3rd row서울특별시 종로구 종로63가길 31 (숭인동)
4th row서울특별시 종로구 비봉길 137 (구기동)
5th row서울특별시 종로구 평창6길 79-141 (평창동)
ValueCountFrequency (%)
서울특별시 24
 
19.5%
종로구 7
 
5.7%
강북구 5
 
4.1%
구기동 3
 
2.4%
은평구 3
 
2.4%
우이동 3
 
2.4%
노원구 2
 
1.6%
관악구 2
 
1.6%
상계동 2
 
1.6%
삼양로179길 2
 
1.6%
Other values (65) 70
56.9%
2024-05-11T14:59:54.824136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
17.2%
구 27
 
4.2%
동 27
 
4.2%
서 26
 
4.0%
1 25
 
3.9%
울 24
 
3.7%
( 24
 
3.7%
) 24
 
3.7%
특 24
 
3.7%
시 24
 
3.7%
Other values (72) 309
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
56.1%
Decimal Number 112
 
17.4%
Space Separator 111
 
17.2%
Open Punctuation 24
 
3.7%
Close Punctuation 24
 
3.7%
Dash Punctuation 8
 
1.2%
Other Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 27
 
7.5%
동 27
 
7.5%
서 26
 
7.2%
울 24
 
6.6%
특 24
 
6.6%
시 24
 
6.6%
별 24
 
6.6%
로 21
 
5.8%
길 20
 
5.5%
종 8
 
2.2%
Other values (56) 137
37.8%
Decimal Number
ValueCountFrequency (%)
1 25
22.3%
2 19
17.0%
4 13
11.6%
3 13
11.6%
9 11
9.8%
0 9
 
8.0%
5 7
 
6.2%
6 6
 
5.4%
7 6
 
5.4%
8 3
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
56.1%
Common 283
43.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 27
 
7.5%
동 27
 
7.5%
서 26
 
7.2%
울 24
 
6.6%
특 24
 
6.6%
시 24
 
6.6%
별 24
 
6.6%
로 21
 
5.8%
길 20
 
5.5%
종 8
 
2.2%
Other values (56) 137
37.8%
Common
ValueCountFrequency (%)
111
39.2%
1 25
 
8.8%
( 24
 
8.5%
) 24
 
8.5%
2 19
 
6.7%
4 13
 
4.6%
3 13
 
4.6%
9 11
 
3.9%
0 9
 
3.2%
- 8
 
2.8%
Other values (6) 26
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
56.1%
ASCII 283
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
39.2%
1 25
 
8.8%
( 24
 
8.5%
) 24
 
8.5%
2 19
 
6.7%
4 13
 
4.6%
3 13
 
4.6%
9 11
 
3.9%
0 9
 
3.2%
- 8
 
2.8%
Other values (6) 26
 
9.2%
Hangul
ValueCountFrequency (%)
구 27
 
7.5%
동 27
 
7.5%
서 26
 
7.2%
울 24
 
6.6%
특 24
 
6.6%
시 24
 
6.6%
별 24
 
6.6%
로 21
 
5.8%
길 20
 
5.5%
종 8
 
2.2%
Other values (56) 137
37.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing52
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean90400.909
Minimum1000
Maximum151801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T14:59:54.993602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1000
Q12242
median137073
Q3140944
95-th percentile146945.5
Maximum151801
Range150801
Interquartile range (IQR)138702

Descriptive statistics

Standard deviation70507.449
Coefficient of variation (CV)0.77994181
Kurtosis-1.9571889
Mean90400.909
Median Absolute Deviation (MAD)5017
Skewness-0.64861195
Sum994410
Variance4.9713003 × 109
MonotonicityNot monotonic
2024-05-11T14:59:55.153783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1000 2
 
3.2%
139817 1
 
1.6%
142071 1
 
1.6%
142090 1
 
1.6%
1012 1
 
1.6%
139204 1
 
1.6%
3472 1
 
1.6%
151801 1
 
1.6%
137073 1
 
1.6%
135870 1
 
1.6%
(Missing) 52
82.5%
ValueCountFrequency (%)
1000 2
3.2%
1012 1
1.6%
3472 1
1.6%
135870 1
1.6%
137073 1
1.6%
139204 1
1.6%
139817 1
1.6%
142071 1
1.6%
142090 1
1.6%
151801 1
1.6%
ValueCountFrequency (%)
151801 1
1.6%
142090 1
1.6%
142071 1
1.6%
139817 1
1.6%
139204 1
1.6%
137073 1
1.6%
135870 1
1.6%
3472 1
1.6%
1012 1
1.6%
1000 2
3.2%

사업장명
Text

Distinct57
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-05-11T14:59:55.471235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.7460317
Min length3

Characters and Unicode

Total characters236
Distinct characters88
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

Unique52 ?
Unique (%)82.5%

Sample

1st row미타사
2nd row감로암
3rd row청량사
4th row대한불교조계종옥천암
5th row승가사
ValueCountFrequency (%)
미타사 3
 
4.5%
봉원사 2
 
3.0%
적조사 2
 
3.0%
안양암 2
 
3.0%
천축사 2
 
3.0%
한국불교태고종 2
 
3.0%
화계사 1
 
1.5%
용암사 1
 
1.5%
진관사 1
 
1.5%
호국지장사 1
 
1.5%
Other values (49) 49
74.2%
2024-05-11T14:59:55.986114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 53
22.5%
암 13
 
5.5%
천 6
 
2.5%
국 6
 
2.5%
원 5
 
2.1%
불 5
 
2.1%
교 5
 
2.1%
성 5
 
2.1%
조 5
 
2.1%
대 4
 
1.7%
Other values (78) 129
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
98.7%
Space Separator 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 53
22.7%
암 13
 
5.6%
천 6
 
2.6%
국 6
 
2.6%
원 5
 
2.1%
불 5
 
2.1%
교 5
 
2.1%
성 5
 
2.1%
조 5
 
2.1%
대 4
 
1.7%
Other values (77) 126
54.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
98.7%
Common 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 53
22.7%
암 13
 
5.6%
천 6
 
2.6%
국 6
 
2.6%
원 5
 
2.1%
불 5
 
2.1%
교 5
 
2.1%
성 5
 
2.1%
조 5
 
2.1%
대 4
 
1.7%
Other values (77) 126
54.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
98.7%
ASCII 3
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 53
22.7%
암 13
 
5.6%
천 6
 
2.6%
국 6
 
2.6%
원 5
 
2.1%
불 5
 
2.1%
교 5
 
2.1%
성 5
 
2.1%
조 5
 
2.1%
대 4
 
1.7%
Other values (77) 126
54.1%
ASCII
ValueCountFrequency (%)
3
100.0%

최종수정일자
Date

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2003-02-24 16:41:32
Maximum2023-12-11 19:42:44
2024-05-11T14:59:56.173921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:56.365102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
I
45 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 45
71.4%
U 18
 
28.6%

Length

2024-05-11T14:59:56.534688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:56.677135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 45
71.4%
u 18
 
28.6%

데이터갱신일자
Date

Distinct17
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 22:08:00
2024-05-11T14:59:56.849273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:59:57.033242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing12
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean197973.24
Minimum182552.32
Maximum207335.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T14:59:57.266332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182552.32
5-th percentile190263.63
Q1195835.62
median198888.21
Q3200726.55
95-th percentile204673.75
Maximum207335.62
Range24783.291
Interquartile range (IQR)4890.9306

Descriptive statistics

Standard deviation4805.0399
Coefficient of variation (CV)0.024271158
Kurtosis2.9909966
Mean197973.24
Median Absolute Deviation (MAD)2588.0064
Skewness-1.1558917
Sum10096635
Variance23088408
MonotonicityNot monotonic
2024-05-11T14:59:57.537202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
195053.423698235 2
 
3.2%
195863.348034162 2
 
3.2%
201631.487977155 2
 
3.2%
201109.784838676 2
 
3.2%
199664.779538204 1
 
1.6%
206749.857524472 1
 
1.6%
200576.135574246 1
 
1.6%
196811.666474237 1
 
1.6%
195215.417977228 1
 
1.6%
195849.356516482 1
 
1.6%
Other values (37) 37
58.7%
(Missing) 12
 
19.0%
ValueCountFrequency (%)
182552.324924974 1
1.6%
182725.95437961 1
1.6%
187185.306963357 1
1.6%
193341.960695953 1
1.6%
194042.637932163 1
1.6%
194135.0721631 1
1.6%
194356.899025114 1
1.6%
194861.009204839 1
1.6%
195053.423698235 2
3.2%
195215.417977228 1
1.6%
ValueCountFrequency (%)
207335.61568864 1
1.6%
206749.857524472 1
1.6%
204964.438506272 1
1.6%
204383.065062337 1
1.6%
204113.679818772 1
1.6%
201631.487977155 2
3.2%
201587.492865052 1
1.6%
201410.859114101 1
1.6%
201116.82103913 1
1.6%
201109.784838676 2
3.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing12
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean454160.19
Minimum438509.91
Maximum465744.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T14:59:57.764110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438509.91
5-th percentile439587.94
Q1452390.01
median454965.32
Q3459233.46
95-th percentile464514.37
Maximum465744.05
Range27234.141
Interquartile range (IQR)6843.4449

Descriptive statistics

Standard deviation7473.8108
Coefficient of variation (CV)0.016456332
Kurtosis-0.33041446
Mean454160.19
Median Absolute Deviation (MAD)3951.7305
Skewness-0.61871595
Sum23162170
Variance55857848
MonotonicityNot monotonic
2024-05-11T14:59:58.034560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
452390.014634837 2
 
3.2%
454965.317199561 2
 
3.2%
465744.05268809 2
 
3.2%
452572.625048854 2
 
3.2%
459434.308212017 1
 
1.6%
464432.098640867 1
 
1.6%
458917.047650364 1
 
1.6%
444056.768660908 1
 
1.6%
459532.525054496 1
 
1.6%
460414.240372779 1
 
1.6%
Other values (37) 37
58.7%
(Missing) 12
 
19.0%
ValueCountFrequency (%)
438509.911695946 1
1.6%
438934.877417659 1
1.6%
439494.442583259 1
1.6%
439681.433124505 1
1.6%
440601.39463495 1
1.6%
441569.1298232 1
1.6%
443360.945623699 1
1.6%
444035.535376129 1
1.6%
444056.768660908 1
1.6%
445880.737479269 1
1.6%
ValueCountFrequency (%)
465744.05268809 2
3.2%
464520.059085693 1
1.6%
464508.687342073 1
1.6%
464432.098640867 1
1.6%
463221.771564831 1
1.6%
462038.51430867 1
1.6%
461456.748314697 1
1.6%
461151.480079 1
1.6%
460414.240372779 1
1.6%
459532.525054496 1
1.6%

승려수
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)28.3%
Missing10
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean10.245283
Minimum0
Maximum190
Zeros18
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T14:59:58.198697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile48
Maximum190
Range190
Interquartile range (IQR)5

Descriptive statistics

Standard deviation28.559591
Coefficient of variation (CV)2.7875844
Kurtosis31.335024
Mean10.245283
Median Absolute Deviation (MAD)3
Skewness5.2649527
Sum543
Variance815.65022
MonotonicityNot monotonic
2024-05-11T14:59:58.373543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 18
28.6%
3 7
 
11.1%
2 6
 
9.5%
5 5
 
7.9%
20 2
 
3.2%
12 2
 
3.2%
1 2
 
3.2%
10 2
 
3.2%
48 2
 
3.2%
4 2
 
3.2%
Other values (5) 5
 
7.9%
(Missing) 10
15.9%
ValueCountFrequency (%)
0 18
28.6%
1 2
 
3.2%
2 6
 
9.5%
3 7
 
11.1%
4 2
 
3.2%
5 5
 
7.9%
6 1
 
1.6%
9 1
 
1.6%
10 2
 
3.2%
12 2
 
3.2%
ValueCountFrequency (%)
190 1
 
1.6%
73 1
 
1.6%
48 2
 
3.2%
20 2
 
3.2%
17 1
 
1.6%
12 2
 
3.2%
10 2
 
3.2%
9 1
 
1.6%
6 1
 
1.6%
5 5
7.9%

신도수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)41.2%
Missing12
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean4835.2941
Minimum0
Maximum99900
Zeros19
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T14:59:58.550275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1000
Q34750
95-th percentile11500
Maximum99900
Range99900
Interquartile range (IQR)4750

Descriptive statistics

Standard deviation14501.449
Coefficient of variation (CV)2.9990832
Kurtosis38.690944
Mean4835.2941
Median Absolute Deviation (MAD)1000
Skewness5.9658449
Sum246600
Variance2.1029203 × 108
MonotonicityNot monotonic
2024-05-11T14:59:58.711546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 19
30.2%
1500 4
 
6.3%
5000 3
 
4.8%
2000 3
 
4.8%
8000 3
 
4.8%
1000 3
 
4.8%
10000 2
 
3.2%
3500 1
 
1.6%
600 1
 
1.6%
13000 1
 
1.6%
Other values (11) 11
17.5%
(Missing) 12
19.0%
ValueCountFrequency (%)
0 19
30.2%
50 1
 
1.6%
200 1
 
1.6%
300 1
 
1.6%
600 1
 
1.6%
1000 3
 
4.8%
1150 1
 
1.6%
1500 4
 
6.3%
2000 3
 
4.8%
2900 1
 
1.6%
ValueCountFrequency (%)
99900 1
 
1.6%
30500 1
 
1.6%
13000 1
 
1.6%
10000 2
3.2%
8000 3
4.8%
7000 1
 
1.6%
6000 1
 
1.6%
5000 3
4.8%
4500 1
 
1.6%
3500 1
 
1.6%

창립연대
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
62 
1889
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
98.4%
1889 1
 
1.6%

Length

2024-05-11T14:59:58.870934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:59.050509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
98.4%
1889 1
 
1.6%

유래연혁
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing17
Missing (%)27.0%
Memory size636.0 B
2024-05-11T14:59:59.484537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length618
Median length211.5
Mean length214.71739
Min length13

Characters and Unicode

Total characters9877
Distinct characters649
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row이름을 알수없는 스님이 1927년 관음도량으로 알려짐 이후 혜란 이라는 비구니 스님을 거쳐 오늘에 이름
2nd row신라경덕왕 15년에 수태성사가 창건 국란 예방을위한 기도 도량으로 의한 성지
3rd row조선태조 5년(1396년) 혜철화상이 태조의 명에 의거 창건하여 소림굴이라 하였고 1817년(순조때) 관해스님이 중건 하였으며 현 대웅전은 1970년 5월에 중건 1978년 현재 주지 혜윤 스님이 부임
4th row1911년 4월8일 백용성 대선사가 창건 1921년 삼장의 조직 한글로 경전을 대대적으로 번역 흥보 대각교 창립 1928년 4.5 대각일요학교 설립 삼상학회 기관지 우아 간행 1965년 9.11 문교부에 종교법인 재단법인 대각사로 인가
5th row1910년 한용운 이수길 이희광 스님 등에의해 각황사라는 이름으로 창건 1938년 총본산 낙성과함께 태고사라 부름 1954년 조개사로 개칭
ValueCountFrequency (%)
있다 23
 
1.1%
이 16
 
0.8%
창건 14
 
0.7%
있는 13
 
0.6%
스님이 12
 
0.6%
고려 10
 
0.5%
이후 8
 
0.4%
의해 7
 
0.3%
중건 7
 
0.3%
하였다 7
 
0.3%
Other values (1565) 1963
94.4%
2024-05-11T15:00:00.120265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2062
 
20.9%
이 224
 
2.3%
사 213
 
2.2%
에 183
 
1.9%
1 183
 
1.9%
년 148
 
1.5%
의 135
 
1.4%
( 132
 
1.3%
) 132
 
1.3%
다 128
 
1.3%
Other values (639) 6337
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6669
67.5%
Space Separator 2062
 
20.9%
Decimal Number 671
 
6.8%
Other Punctuation 193
 
2.0%
Open Punctuation 134
 
1.4%
Close Punctuation 134
 
1.4%
Dash Punctuation 11
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 224
 
3.4%
사 213
 
3.2%
에 183
 
2.7%
년 148
 
2.2%
의 135
 
2.0%
다 128
 
1.9%
하 128
 
1.9%
고 127
 
1.9%
는 114
 
1.7%
로 112
 
1.7%
Other values (615) 5157
77.3%
Decimal Number
ValueCountFrequency (%)
1 183
27.3%
9 109
16.2%
0 58
 
8.6%
5 57
 
8.5%
8 50
 
7.5%
3 47
 
7.0%
6 45
 
6.7%
7 44
 
6.6%
2 44
 
6.6%
4 34
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 100
51.8%
, 65
33.7%
' 16
 
8.3%
? 9
 
4.7%
: 3
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 132
98.5%
[ 2
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 132
98.5%
] 2
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
2062
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6413
64.9%
Common 3206
32.5%
Han 256
 
2.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 224
 
3.5%
사 213
 
3.3%
에 183
 
2.9%
년 148
 
2.3%
의 135
 
2.1%
다 128
 
2.0%
하 128
 
2.0%
고 127
 
2.0%
는 114
 
1.8%
로 112
 
1.7%
Other values (450) 4901
76.4%
Han
ValueCountFrequency (%)
寺 16
 
6.2%
師 11
 
4.3%
庵 7
 
2.7%
慧 6
 
2.3%
雲 6
 
2.3%
國 5
 
2.0%
德 4
 
1.6%
普 3
 
1.2%
照 3
 
1.2%
山 3
 
1.2%
Other values (155) 192
75.0%
Common
ValueCountFrequency (%)
2062
64.3%
1 183
 
5.7%
( 132
 
4.1%
) 132
 
4.1%
9 109
 
3.4%
. 100
 
3.1%
, 65
 
2.0%
0 58
 
1.8%
5 57
 
1.8%
8 50
 
1.6%
Other values (12) 258
 
8.0%
Latin
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6409
64.9%
ASCII 3208
32.5%
CJK 249
 
2.5%
CJK Compat Ideographs 7
 
0.1%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2062
64.3%
1 183
 
5.7%
( 132
 
4.1%
) 132
 
4.1%
9 109
 
3.4%
. 100
 
3.1%
, 65
 
2.0%
0 58
 
1.8%
5 57
 
1.8%
8 50
 
1.6%
Other values (14) 260
 
8.1%
Hangul
ValueCountFrequency (%)
이 224
 
3.5%
사 213
 
3.3%
에 183
 
2.9%
년 148
 
2.3%
의 135
 
2.1%
다 128
 
2.0%
하 128
 
2.0%
고 127
 
2.0%
는 114
 
1.8%
로 112
 
1.7%
Other values (448) 4897
76.4%
CJK
ValueCountFrequency (%)
寺 16
 
6.4%
師 11
 
4.4%
庵 7
 
2.8%
慧 6
 
2.4%
雲 6
 
2.4%
國 5
 
2.0%
德 4
 
1.6%
普 3
 
1.2%
照 3
 
1.2%
山 3
 
1.2%
Other values (149) 185
74.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
75.0%
ㅏ 1
 
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
懶 2
28.6%
寧 1
14.3%
金 1
14.3%
老 1
14.3%
李 1
14.3%
律 1
14.3%

지정취소
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
N
49 
<NA>
12 
Y
 
1
A
 
1

Length

Max length4
Median length1
Mean length1.5714286
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
N 49
77.8%
<NA> 12
 
19.0%
Y 1
 
1.6%
A 1
 
1.6%

Length

2024-05-11T15:00:00.362907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:00.528843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 49
77.8%
na 12
 
19.0%
y 1
 
1.6%
a 1
 
1.6%

지정취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
60 
20110825
 
1
20180307
 
1
20110503
 
1

Length

Max length8
Median length4
Mean length4.1904762
Min length4

Unique

Unique3 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
95.2%
20110825 1
 
1.6%
20180307 1
 
1.6%
20110503 1
 
1.6%

Length

2024-05-11T15:00:00.811730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:00:00.975762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
95.2%
20110825 1
 
1.6%
20180307 1
 
1.6%
20110503 1
 
1.6%

지정취소사유
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing62
Missing (%)98.4%
Memory size636.0 B
2024-05-11T15:00:01.142090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length33
Mean length33
Min length33

Characters and Unicode

Total characters33
Distinct characters23
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

Unique1 ?
Unique (%)100.0%

Sample

1st row대웅전 등 전통사찰 내 건물의 개축으로 문화적 가치 상실 등
ValueCountFrequency (%)
등 2
20.0%
대웅전 1
10.0%
전통사찰 1
10.0%
내 1
10.0%
건물의 1
10.0%
개축으로 1
10.0%
문화적 1
10.0%
가치 1
10.0%
상실 1
10.0%
2024-05-11T15:00:01.611995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
27.3%
전 2
 
6.1%
등 2
 
6.1%
대 1
 
3.0%
축 1
 
3.0%
상 1
 
3.0%
치 1
 
3.0%
가 1
 
3.0%
적 1
 
3.0%
화 1
 
3.0%
Other values (13) 13
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24
72.7%
Space Separator 9
 
27.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2
 
8.3%
등 2
 
8.3%
대 1
 
4.2%
축 1
 
4.2%
상 1
 
4.2%
치 1
 
4.2%
가 1
 
4.2%
적 1
 
4.2%
화 1
 
4.2%
문 1
 
4.2%
Other values (12) 12
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24
72.7%
Common 9
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2
 
8.3%
등 2
 
8.3%
대 1
 
4.2%
축 1
 
4.2%
상 1
 
4.2%
치 1
 
4.2%
가 1
 
4.2%
적 1
 
4.2%
화 1
 
4.2%
문 1
 
4.2%
Other values (12) 12
50.0%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24
72.7%
ASCII 9
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
전 2
 
8.3%
등 2
 
8.3%
대 1
 
4.2%
축 1
 
4.2%
상 1
 
4.2%
치 1
 
4.2%
가 1
 
4.2%
적 1
 
4.2%
화 1
 
4.2%
문 1
 
4.2%
Other values (12) 12
50.0%

전통사찰명
Text

MISSING 

Distinct50
Distinct (%)92.6%
Missing9
Missing (%)14.3%
Memory size636.0 B
2024-05-11T15:00:01.953181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length3
Mean length3.5925926
Min length3

Characters and Unicode

Total characters194
Distinct characters84
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

Unique46 ?
Unique (%)85.2%

Sample

1st row감로암
2nd row청량사
3rd row승가사
4th row소림사
5th row대각사
ValueCountFrequency (%)
천축사 2
 
3.6%
봉원사 2
 
3.6%
적조사 2
 
3.6%
미타사 2
 
3.6%
한국불교태고종 2
 
3.6%
심택사 1
 
1.8%
보광사 1
 
1.8%
백련사 1
 
1.8%
만월암 1
 
1.8%
학림사 1
 
1.8%
Other values (41) 41
73.2%
2024-05-11T15:00:02.524640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 48
24.7%
암 9
 
4.6%
국 6
 
3.1%
천 5
 
2.6%
원 4
 
2.1%
용 4
 
2.1%
성 4
 
2.1%
봉 4
 
2.1%
교 3
 
1.5%
불 3
 
1.5%
Other values (74) 104
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 48
25.0%
암 9
 
4.7%
국 6
 
3.1%
천 5
 
2.6%
원 4
 
2.1%
용 4
 
2.1%
성 4
 
2.1%
봉 4
 
2.1%
교 3
 
1.6%
불 3
 
1.6%
Other values (73) 102
53.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 48
25.0%
암 9
 
4.7%
국 6
 
3.1%
천 5
 
2.6%
원 4
 
2.1%
용 4
 
2.1%
성 4
 
2.1%
봉 4
 
2.1%
교 3
 
1.6%
불 3
 
1.6%
Other values (73) 102
53.1%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 48
25.0%
암 9
 
4.7%
국 6
 
3.1%
천 5
 
2.6%
원 4
 
2.1%
용 4
 
2.1%
성 4
 
2.1%
봉 4
 
2.1%
교 3
 
1.6%
불 3
 
1.6%
Other values (73) 102
53.1%
ASCII
ValueCountFrequency (%)
2
100.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)승려수신도수창립연대유래연혁지정취소지정취소일자지정취소사유전통사찰명
03150000CDFD10021988-09-01<NA>1영업/정상05지정<NA><NA><NA><NA>02-2662-4736<NA><NA>서울특별시 강서구 개화동 산 81-13<NA><NA>미타사2023-04-25 13:33:57U2022-12-03 22:08:00.0<NA>182552.324925453190.183661<NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFD100719891214<NA>1영업/정상05지정<NA><NA><NA><NA>762-5861<NA><NA>서울특별시 종로구 충신동 15번지서울특별시 종로구 율곡로23길 16 (충신동)<NA>감로암2012-01-10 19:01:26I2018-08-31 23:59:59.0<NA>200516.095442452559.36016600<NA>이름을 알수없는 스님이 1927년 관음도량으로 알려짐 이후 혜란 이라는 비구니 스님을 거쳐 오늘에 이름N<NA><NA>감로암
23050000CDFD100119881201<NA>1영업/정상07승인<NA><NA><NA><NA>962-7390<NA><NA>서울특별시 동대문구 청량리동 61<NA><NA>청량사2020-12-21 08:47:16U2020-12-23 02:40:00.0<NA>204113.679819453983.762427201500<NA><NA>N<NA><NA>청량사
33120000CDFD100120030107<NA>1영업/정상07승인<NA><NA><NA><NA>02)395-4031<NA><NA>서울특별시 서대문구 홍은동 8<NA><NA>대한불교조계종옥천암2022-10-31 09:33:55U2021-11-01 00:02:00.0<NA>195863.348034454965.3172<NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFD100119880725<NA>1영업/정상05지정<NA><NA><NA><NA>379-9665<NA><NA>서울특별시 종로구 구기동 산 1번지서울특별시 종로구 비봉4길 213 (구기동)<NA>승가사2003-02-24 16:41:32I2018-08-31 23:59:59.0<NA>196450.832657458289.08313300<NA>신라경덕왕 15년에 수태성사가 창건 국란 예방을위한 기도 도량으로 의한 성지N<NA><NA>승가사
53000000CDFD100419880725<NA>1영업/정상07승인<NA><NA><NA><NA>394-2145<NA><NA>서울특별시 종로구 홍지동 80-1번지<NA><NA>소림사2016-12-13 16:02:18I2018-08-31 23:59:59.0<NA>196300.203464455463.78701900<NA>조선태조 5년(1396년) 혜철화상이 태조의 명에 의거 창건하여 소림굴이라 하였고 1817년(순조때) 관해스님이 중건 하였으며 현 대웅전은 1970년 5월에 중건 1978년 현재 주지 혜윤 스님이 부임N<NA><NA>소림사
63000000CDFD100319880725<NA>1영업/정상07승인<NA><NA><NA><NA>765-0972<NA><NA>서울특별시 종로구 봉익동 2번지<NA><NA>대각사2017-12-07 09:11:24I2018-08-31 23:59:59.0<NA>199230.470595452374.06414900<NA>1911년 4월8일 백용성 대선사가 창건 1921년 삼장의 조직 한글로 경전을 대대적으로 번역 흥보 대각교 창립 1928년 4.5 대각일요학교 설립 삼상학회 기관지 우아 간행 1965년 9.11 문교부에 종교법인 재단법인 대각사로 인가N<NA><NA>대각사
73000000CDFD100219880725<NA>1영업/정상07승인<NA><NA><NA><NA>732-2183<NA><NA>서울특별시 종로구 견지동 45번지<NA><NA>조계사2014-06-02 14:14:16I2018-08-31 23:59:59.0<NA>198369.673994452399.9574600<NA>1910년 한용운 이수길 이희광 스님 등에의해 각황사라는 이름으로 창건 1938년 총본산 낙성과함께 태고사라 부름 1954년 조개사로 개칭N<NA><NA>조계사
83000000CDFD100819880725<NA>1영업/정상05지정<NA><NA><NA><NA>736-9984<NA><NA>서울특별시 종로구 무악동 산 3번지<NA><NA>인왕사2012-01-10 19:02:16I2018-08-31 23:59:59.0<NA><NA><NA>00<NA>고려 공민왕때 무학스님이 창건 병자호란때 멸실 1900년대 이해명 스님이 중건 현재 위치는 확실치 않다N<NA><NA>인왕사
93190000CDFD100320081219<NA>1영업/정상07승인<NA><NA><NA><NA>815-2746<NA><NA>서울특별시 동작구 흑석동 산 61-34번지<NA><NA>달마사2016-01-28 09:45:36I2018-08-31 23:59:59.0<NA>196616.664561444035.53537600<NA><NA>N<NA><NA>달마사
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)승려수신도수창립연대유래연혁지정취소지정취소일자지정취소사유전통사찰명
533150000CDFD100319921019<NA>1영업/정상07승인<NA><NA><NA><NA>(02)2651-4382<NA><NA>서울특별시 강서구 등촌동 산 23-4번지<NA><NA>법성사2015-04-10 14:17:24I2018-08-31 23:59:59.0<NA>187185.306963449056.3660363600<NA>1909년 조륵스님이 백석사 건립 1930년 벽초화상이 폐사된 것을 복원하여 백련암으로 개칭 1962년 현주지 이용현 스님이 법성사로 개칭N<NA><NA>법성사
543200000CDFD100119880720<NA>1영업/정상05지정<NA><NA><NA><NA>582-8609<NA><NA>서울특별시 관악구 남현동 519-3번지서울특별시 관악구 승방1길 109-80 (남현동)151801관음사2011-10-30 13:35:31I2018-08-31 23:59:59.0<NA>197850.771609440601.39463548000<NA>신라 제56대 진성여왕 9년(895년)에 도선국사가 창건한 후 이조시대를 거쳐 1924년 석주스님이 중건하고 1974년에 진성당 종하사가 주지로 부임 재차 중건을 시작하여대웅전, 용왕각, 심시불의 비문석탑을 세워 1977년에 준공하여 지금의 절이 됨.N<NA><NA>관음사
553200000CDFD100420061214<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>877-7180<NA><NA>서울특별시 관악구 신림동 198번지서울특별시 관악구 신림로 15-250 (신림동)<NA>성주암2011-05-03 17:54:54I2018-08-31 23:59:59.0<NA>194861.009205439494.44258332000<NA>성주암은 정확한 역사적 문헌이 없어 고증에 어려움은 있지만 구전에 의하면 신라시대 원효대사가 창건한 이래 각진국사, 서산대사, 처용대사 등의 고승들이 주석하셨던 고찰로서 과거 관악산내 삼막사, 망월암, 호압사ㅏ, 반월암, 연불암, 상불암, 안양사 등 관악산내 19암자로 현재까지 현존해 있는 사찰로서 사찰경내지에서 출토된 그릇파편과 명문기와 중 태정원년으로 표기된 다수의 기와로 보아 고려 충숙왕 2년을 전후해서 도량이 번성하였던 것으로 추정됨<NA>20110503<NA>성주암
563200000CDFD100319880921<NA>1영업/정상07승인<NA><NA><NA><NA>02-882-3839<NA><NA>서울특별시 관악구 신림동 194-1번지<NA><NA>자운암2012-06-26 17:43:23I2018-08-31 23:59:59.0<NA>195880.008889438509.91169621500<NA>조선 태조5년(1396년)에 무학대사가 창건하였고, 자운암은 600여년을 지나는 동안 여러번의 중수를 거쳐 오늘에 이르렀는데 남허스님이 남긴 자운암 기록에는 영조13년(1734년)에 다시 중수했다는 기록이 있으며 성종이 어머니를 위해 만든 위패가 아직까지 전해져오고 있다고 하며, 창건 당시에는 자운암(紫雲庵)이라고 한 것을 영종13년에 대효선사가 자운암(慈雲庵)이라 개명하였음. 현재의 자운암은 19876년 보륜 스님이 자운암에 들면서 대웅전, 칠성전, 산신각을 세우고 비로소 사찰다운 면모를 갖추게 됨.N<NA><NA>자운암
573200000CDFD100219880921<NA>1영업/정상07승인<NA><NA><NA><NA>02-877-7514<NA><NA>서울특별시 관악구 신림동 318번지<NA><NA>약수사2015-01-06 13:14:24I2018-08-31 23:59:59.0<NA>194135.072163439681.43312532000<NA>조선 세종대왕 때 무영대사가 창건하여 기도의 도량이 되었으나 임진왜란 때 소실되었던 것을 1950년 김처사가 수행을 위하여 이곳에 샘솟는 약수를 마시고 힘을 얻어 초가삼간을 건립하여 약수암이라 칭하였으며, 최초의 창건은 신라시대 문무왕 10년(670년)이며 현재와 같은 절로서의 면모를 갖추게 된 것은 1974년 겨울 묘희 스님이 약수사에 들어서면서부터 현재와 같은 절의 면모를 갖춤N<NA><NA>약수사
583210000CDFD100120030415<NA>1영업/정상05지정<NA><NA><NA><NA>583-1475<NA><NA>서울특별시 서초구 서초동 산 140서울특별시 서초구 남부순환로328길 49 (서초동)137073백제불교초전법륜성지우면산대성사2022-01-03 16:27:10U2022-01-05 02:40:00.0<NA>201116.821039441569.12982300<NA>백제 불교 초전 법륜성지N<NA><NA>백제불교초전법륜성지우면산대성사
593220000CDFD100119890414<NA>1영업/정상05지정<NA><NA><NA><NA>3218-4800<NA><NA>서울특별시 강남구 삼성동 73번지서울특별시 강남구 봉은사로 531 (삼성동)135870봉은사2016-01-16 17:32:56I2018-08-31 23:59:59.0<NA>204964.438506445880.73747900<NA>794년 신라 원성왕 10년 緣會國師가 창건(삼국사기)N<NA><NA>봉은사
6061100003000000-00120051227<NA>1영업/정상BBBB<NA><NA><NA><NA><NA>027634100<NA><NA>서울특별시 종로구 창신동 130 - 1서울특별시 종로구 창신5길 61 (창신동)<NA>안양암2011-10-30 18:06:08I2018-08-31 23:59:59.0<NA>201109.784839452572.625049320001889<NA>A<NA><NA>안양암
613080000CDFD100619920923<NA>1영업/정상07승인<NA><NA><NA><NA>988-1996<NA><NA>서울특별시 강북구 수유동 산 164-5<NA><NA>삼성암2022-06-30 15:17:23U2021-12-07 00:02:00.0<NA>200201.065678458701.410927<NA><NA><NA><NA><NA><NA><NA><NA>
623170000CDFD100119881219<NA>1영업/정상07승인<NA><NA><NA><NA>803-4779<NA><NA>서울특별시 금천구 시흥동 234<NA><NA>대한불교조계종 호압사2022-10-13 14:08:39U2021-10-30 23:05:00.0<NA>193341.960696438934.877418<NA><NA><NA><NA><NA><NA><NA><NA>