Overview

Dataset statistics

Number of variables6
Number of observations113
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description전북특별자치도 시군별 전통사찰 안내(주소, 사찰명, 소속종단 등) 제공
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=13&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15055583

Alerts

연번 is highly overall correlated with 시군별High correlation
시군별 is highly overall correlated with 연번High correlation
소속종단 is highly imbalanced (52.2%)Imbalance
연번 has unique valuesUnique
주소 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:19:26.904376
Analysis finished2024-03-14 03:19:27.313227
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T12:19:27.371059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.6
Q129
median57
Q385
95-th percentile107.4
Maximum113
Range112
Interquartile range (IQR)56

Descriptive statistics

Standard deviation32.76431
Coefficient of variation (CV)0.57481245
Kurtosis-1.2
Mean57
Median Absolute Deviation (MAD)28
Skewness0
Sum6441
Variance1073.5
MonotonicityStrictly increasing
2024-03-14T12:19:27.476735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
86 1
 
0.9%
84 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
Other values (103) 103
91.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
113 1
0.9%
112 1
0.9%
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%

시군별
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
김제시
14 
남원시
13 
전주시
11 
정읍시
10 
익산시
9 
Other values (9)
56 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김제시 14
12.4%
남원시 13
11.5%
전주시 11
9.7%
정읍시 10
8.8%
익산시 9
8.0%
완주군 9
8.0%
고창군 8
 
7.1%
진안군 7
 
6.2%
군산시 6
 
5.3%
장수군 6
 
5.3%
Other values (4) 20
17.7%

Length

2024-03-14T12:19:27.575305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김제시 14
12.4%
남원시 13
11.5%
전주시 11
9.7%
정읍시 10
8.8%
익산시 9
8.0%
완주군 9
8.0%
고창군 8
 
7.1%
진안군 7
 
6.2%
군산시 6
 
5.3%
장수군 6
 
5.3%
Other values (4) 20
17.7%

주소
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T12:19:27.853955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length18.672566
Min length15

Characters and Unicode

Total characters2110
Distinct characters174
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)100.0%

Sample

1st row전주시 완산구 바람쐬는길 47-13(교동)
2nd row전주시 완산구 낙수정2길 103-100(교동)
3rd row전주시 완산구 남고산성1길 53-88(동서학동)
4th row전주시 완산구 남고산성1길 53-140 (동서학동)
5th row전주시 완산구 평화7길 49-67(평화동2가)
ValueCountFrequency (%)
김제시 14
 
3.1%
남원시 13
 
2.8%
전주시 11
 
2.4%
정읍시 10
 
2.2%
익산시 9
 
2.0%
완주군 9
 
2.0%
고창군 8
 
1.7%
진안군 7
 
1.5%
부안군 6
 
1.3%
군산시 6
 
1.3%
Other values (304) 365
79.7%
2024-03-14T12:19:28.332755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
447
21.2%
1 85
 
4.0%
면 76
 
3.6%
길 73
 
3.5%
2 71
 
3.4%
산 67
 
3.2%
시 65
 
3.1%
군 57
 
2.7%
- 55
 
2.6%
3 52
 
2.5%
Other values (164) 1062
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1106
52.4%
Decimal Number 452
21.4%
Space Separator 447
21.2%
Dash Punctuation 55
 
2.6%
Close Punctuation 25
 
1.2%
Open Punctuation 25
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 76
 
6.9%
길 73
 
6.6%
산 67
 
6.1%
시 65
 
5.9%
군 57
 
5.2%
로 40
 
3.6%
동 34
 
3.1%
주 30
 
2.7%
안 23
 
2.1%
원 23
 
2.1%
Other values (150) 618
55.9%
Decimal Number
ValueCountFrequency (%)
1 85
18.8%
2 71
15.7%
3 52
11.5%
5 47
10.4%
4 42
9.3%
6 36
8.0%
0 33
 
7.3%
7 32
 
7.1%
8 28
 
6.2%
9 26
 
5.8%
Space Separator
ValueCountFrequency (%)
447
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1106
52.4%
Common 1004
47.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 76
 
6.9%
길 73
 
6.6%
산 67
 
6.1%
시 65
 
5.9%
군 57
 
5.2%
로 40
 
3.6%
동 34
 
3.1%
주 30
 
2.7%
안 23
 
2.1%
원 23
 
2.1%
Other values (150) 618
55.9%
Common
ValueCountFrequency (%)
447
44.5%
1 85
 
8.5%
2 71
 
7.1%
- 55
 
5.5%
3 52
 
5.2%
5 47
 
4.7%
4 42
 
4.2%
6 36
 
3.6%
0 33
 
3.3%
7 32
 
3.2%
Other values (4) 104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1106
52.4%
ASCII 1004
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
447
44.5%
1 85
 
8.5%
2 71
 
7.1%
- 55
 
5.5%
3 52
 
5.2%
5 47
 
4.7%
4 42
 
4.2%
6 36
 
3.6%
0 33
 
3.3%
7 32
 
3.2%
Other values (4) 104
 
10.4%
Hangul
ValueCountFrequency (%)
면 76
 
6.9%
길 73
 
6.6%
산 67
 
6.1%
시 65
 
5.9%
군 57
 
5.2%
로 40
 
3.6%
동 34
 
3.1%
주 30
 
2.7%
안 23
 
2.1%
원 23
 
2.1%
Other values (150) 618
55.9%

사찰명
Text

Distinct107
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T12:19:28.629451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9911504
Min length2

Characters and Unicode

Total characters338
Distinct characters102
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)90.3%

Sample

1st row승암사
2nd row동고사
3rd row남고사
4th row불정사
5th row학소암
ValueCountFrequency (%)
문수사 3
 
2.7%
실상사 2
 
1.8%
용화사 2
 
1.8%
정혜사 2
 
1.8%
미륵암 2
 
1.8%
원통사 1
 
0.9%
승암사 1
 
0.9%
보흥사 1
 
0.9%
백련사 1
 
0.9%
북고사 1
 
0.9%
Other values (97) 97
85.8%
2024-03-14T12:19:29.030483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 90
26.6%
암 28
 
8.3%
원 9
 
2.7%
상 7
 
2.1%
선 6
 
1.8%
정 6
 
1.8%
수 6
 
1.8%
고 5
 
1.5%
흥 5
 
1.5%
봉 5
 
1.5%
Other values (92) 171
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 90
26.6%
암 28
 
8.3%
원 9
 
2.7%
상 7
 
2.1%
선 6
 
1.8%
정 6
 
1.8%
수 6
 
1.8%
고 5
 
1.5%
흥 5
 
1.5%
봉 5
 
1.5%
Other values (92) 171
50.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 90
26.6%
암 28
 
8.3%
원 9
 
2.7%
상 7
 
2.1%
선 6
 
1.8%
정 6
 
1.8%
수 6
 
1.8%
고 5
 
1.5%
흥 5
 
1.5%
봉 5
 
1.5%
Other values (92) 171
50.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 90
26.6%
암 28
 
8.3%
원 9
 
2.7%
상 7
 
2.1%
선 6
 
1.8%
정 6
 
1.8%
수 6
 
1.8%
고 5
 
1.5%
흥 5
 
1.5%
봉 5
 
1.5%
Other values (92) 171
50.6%

소속종단
Categorical

IMBALANCE 

Distinct7
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
조계종
70 
태고종
36 
화엄종
 
2
선학원
 
2
보문종
 
1
Other values (2)
 
2

Length

Max length9
Median length3
Mean length3.0530973
Min length3

Unique

Unique3 ?
Unique (%)2.7%

Sample

1st row태고종
2nd row태고종
3rd row조계종
4th row태고종
5th row조계종

Common Values

ValueCountFrequency (%)
조계종 70
61.9%
태고종 36
31.9%
화엄종 2
 
1.8%
선학원 2
 
1.8%
보문종 1
 
0.9%
관음종 1
 
0.9%
진묵대사유적진흥회 1
 
0.9%

Length

2024-03-14T12:19:29.168535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:19:29.267212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조계종 70
61.9%
태고종 36
31.9%
화엄종 2
 
1.8%
선학원 2
 
1.8%
보문종 1
 
0.9%
관음종 1
 
0.9%
진묵대사유적진흥회 1
 
0.9%

등록번호
Text

UNIQUE 

Distinct113
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T12:19:29.483200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters565
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)100.0%

Sample

1st row제 87호
2nd row제 88호
3rd row제 1호
4th row제 84호
5th row제100호
ValueCountFrequency (%)
제 98
46.4%
19호 1
 
0.5%
18호 1
 
0.5%
16호 1
 
0.5%
52호 1
 
0.5%
제112호 1
 
0.5%
13호 1
 
0.5%
14호 1
 
0.5%
70호 1
 
0.5%
12호 1
 
0.5%
Other values (104) 104
49.3%
2024-03-14T12:19:29.783128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 113
20.0%
호 113
20.0%
107
18.9%
1 42
 
7.4%
4 22
 
3.9%
2 22
 
3.9%
7 21
 
3.7%
0 21
 
3.7%
9 21
 
3.7%
6 21
 
3.7%
Other values (3) 62
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
41.1%
Other Letter 226
40.0%
Space Separator 107
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42
18.1%
4 22
9.5%
2 22
9.5%
7 21
9.1%
0 21
9.1%
9 21
9.1%
6 21
9.1%
5 21
9.1%
3 21
9.1%
8 20
8.6%
Other Letter
ValueCountFrequency (%)
제 113
50.0%
호 113
50.0%
Space Separator
ValueCountFrequency (%)
107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 339
60.0%
Hangul 226
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
107
31.6%
1 42
 
12.4%
4 22
 
6.5%
2 22
 
6.5%
7 21
 
6.2%
0 21
 
6.2%
9 21
 
6.2%
6 21
 
6.2%
5 21
 
6.2%
3 21
 
6.2%
Hangul
ValueCountFrequency (%)
제 113
50.0%
호 113
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 339
60.0%
Hangul 226
40.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 113
50.0%
호 113
50.0%
ASCII
ValueCountFrequency (%)
107
31.6%
1 42
 
12.4%
4 22
 
6.5%
2 22
 
6.5%
7 21
 
6.2%
0 21
 
6.2%
9 21
 
6.2%
6 21
 
6.2%
5 21
 
6.2%
3 21
 
6.2%

Interactions

2024-03-14T12:19:27.118584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:19:29.860040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군별소속종단
연번1.0000.9580.206
시군별0.9581.0000.071
소속종단0.2060.0711.000
2024-03-14T12:19:29.930429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소속종단시군별
소속종단1.0000.000
시군별0.0001.000
2024-03-14T12:19:29.998257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군별소속종단
연번1.0000.8080.100
시군별0.8081.0000.000
소속종단0.1000.0001.000

Missing values

2024-03-14T12:19:27.202156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:19:27.281729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번시군별주소사찰명소속종단등록번호
01전주시전주시 완산구 바람쐬는길 47-13(교동)승암사태고종제 87호
12전주시전주시 완산구 낙수정2길 103-100(교동)동고사태고종제 88호
23전주시전주시 완산구 남고산성1길 53-88(동서학동)남고사조계종제 1호
34전주시전주시 완산구 남고산성1길 53-140 (동서학동)불정사태고종제 84호
45전주시전주시 완산구 평화7길 49-67(평화동2가)학소암조계종제100호
56전주시전주시 완산구 외칠봉1길 36 (효자동1가)정혜사보문종제 81호
67전주시전주시 덕진구 정여립로 1010-90 (만성동)서고사조계종제 99호
78전주시전주시 덕진구 왜망실길 250-125(우아동1가)일출암태고종제101호
89전주시전주시 덕진구 도당산로 46-10 (우아동3가)약수암태고종제 89호
910전주시전주시 덕진구 한배미6길 55 (인후동1가)선린사태고종제 86호
연번시군별주소사찰명소속종단등록번호
103104고창군고창군 아산면 도솔길 294도솔암조계종제107호
104105고창군고창군 아산면 선운사로 242-73석상암조계종제108호
105106고창군고창군 아산면 선운사로 250선운사조계종제 28호
106107고창군고창군 아산면 도솔길 194-77참당암조계종제113호
107108부안군부안군 변산면 내변산로 236-180월명암조계종제 97호
108109부안군부안군 부안읍 서림공원길 92성황사조계종제 34호
109110부안군부안군 상서면 개암로 248개암사조계종제 32호
110111부안군부안군 위도면 내원암길 42내원암조계종제110호
111112부안군부안군 진서면 내소사로 243내소사조계종제 33호
112113부안군부안군 행안면 미륵골길 43용화사화엄종제102호