Overview

Dataset statistics

Number of variables3
Number of observations175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory24.8 B

Variable types

Text3

Dataset

Description경상북도 내에 있는 전통사찰에 대한 내용으로 전통 사찰의 사찰명, 전화번호, 소재지에 대한 내용을 나타내고 있습니다.
Author경상북도
URLhttps://www.data.go.kr/data/3083302/fileData.do

Alerts

사찰전화 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:56:37.826873
Analysis finished2023-12-11 23:56:38.129533
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사찰명
Text

Distinct161
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T08:56:38.348233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.1371429
Min length3

Characters and Unicode

Total characters549
Distinct characters136
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

Unique150 ?
Unique (%)85.7%

Sample

1st row보경사
2nd row오어사
3rd row천곡사
4th row임허사
5th row무학사
ValueCountFrequency (%)
신흥사 4
 
2.3%
죽림사 3
 
1.7%
도덕암 2
 
1.1%
반룡사 2
 
1.1%
서악사 2
 
1.1%
수정사 2
 
1.1%
청룡사 2
 
1.1%
천룡사 2
 
1.1%
심원사 2
 
1.1%
석굴암 2
 
1.1%
Other values (152) 154
87.0%
2023-12-12T08:56:38.730785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 156
28.4%
암 20
 
3.6%
석 10
 
1.8%
봉 10
 
1.8%
천 10
 
1.8%
수 9
 
1.6%
대 9
 
1.6%
보 9
 
1.6%
장 8
 
1.5%
용 8
 
1.5%
Other values (126) 300
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
99.1%
Space Separator 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 156
28.7%
암 20
 
3.7%
석 10
 
1.8%
봉 10
 
1.8%
천 10
 
1.8%
수 9
 
1.7%
대 9
 
1.7%
보 9
 
1.7%
장 8
 
1.5%
용 8
 
1.5%
Other values (123) 295
54.2%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
99.1%
Common 5
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 156
28.7%
암 20
 
3.7%
석 10
 
1.8%
봉 10
 
1.8%
천 10
 
1.8%
수 9
 
1.7%
대 9
 
1.7%
보 9
 
1.7%
장 8
 
1.5%
용 8
 
1.5%
Other values (123) 295
54.2%
Common
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
99.1%
ASCII 5
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 156
28.7%
암 20
 
3.7%
석 10
 
1.8%
봉 10
 
1.8%
천 10
 
1.8%
수 9
 
1.7%
대 9
 
1.7%
보 9
 
1.7%
장 8
 
1.5%
용 8
 
1.5%
Other values (123) 295
54.2%
ASCII
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

사찰전화
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T08:56:38.943248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2100
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)100.0%

Sample

1st row054-262-1117
2nd row054-292-2083
3rd row054-261-6446
4th row054-261-0331
5th row054-243-1751
ValueCountFrequency (%)
054-262-1117 1
 
0.6%
054-815-0177 1
 
0.6%
054-851-0048 1
 
0.6%
054-815-0341 1
 
0.6%
054-383-1161 1
 
0.6%
054-383-2898 1
 
0.6%
054-382-0408 1
 
0.6%
054-383-5989 1
 
0.6%
054-383-7495 1
 
0.6%
054-382-3698 1
 
0.6%
Other values (165) 165
94.3%
2023-12-12T08:56:39.280123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 350
16.7%
5 298
14.2%
4 295
14.0%
0 266
12.7%
3 190
9.0%
2 135
 
6.4%
8 131
 
6.2%
1 128
 
6.1%
7 117
 
5.6%
6 108
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1750
83.3%
Dash Punctuation 350
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 298
17.0%
4 295
16.9%
0 266
15.2%
3 190
10.9%
2 135
7.7%
8 131
7.5%
1 128
7.3%
7 117
 
6.7%
6 108
 
6.2%
9 82
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 350
16.7%
5 298
14.2%
4 295
14.0%
0 266
12.7%
3 190
9.0%
2 135
 
6.4%
8 131
 
6.2%
1 128
 
6.1%
7 117
 
5.6%
6 108
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 350
16.7%
5 298
14.2%
4 295
14.0%
0 266
12.7%
3 190
9.0%
2 135
 
6.4%
8 131
 
6.2%
1 128
 
6.1%
7 117
 
5.6%
6 108
 
5.1%

소재지
Text

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T08:56:39.542436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length19.588571
Min length12

Characters and Unicode

Total characters3428
Distinct characters183
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

Unique173 ?
Unique (%)98.9%

Sample

1st row경상북도 포항시 송라면 중산리 622
2nd row경상북도 포항시 오천읍 항사리 34
3rd row경상북도 포항시 흥해읍 학천리 796
4th row경상북도 포항시 흥해읍 옥성리 131
5th row경상북도 포항시 기계면 문성리 산8-1
ValueCountFrequency (%)
경상북도 175
 
20.9%
안동시 17
 
2.0%
경주시 15
 
1.8%
상주시 14
 
1.7%
포항시 13
 
1.6%
청도군 12
 
1.4%
경산시 12
 
1.4%
영주시 9
 
1.1%
의성군 9
 
1.1%
구미시 8
 
1.0%
Other values (437) 553
66.1%
2023-12-12T08:56:39.924371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
665
19.4%
경 211
 
6.2%
상 198
 
5.8%
북 197
 
5.7%
도 192
 
5.6%
리 153
 
4.5%
면 117
 
3.4%
1 110
 
3.2%
시 102
 
3.0%
군 69
 
2.0%
Other values (173) 1414
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2185
63.7%
Space Separator 665
 
19.4%
Decimal Number 537
 
15.7%
Dash Punctuation 39
 
1.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 211
 
9.7%
상 198
 
9.1%
북 197
 
9.0%
도 192
 
8.8%
리 153
 
7.0%
면 117
 
5.4%
시 102
 
4.7%
군 69
 
3.2%
산 64
 
2.9%
동 57
 
2.6%
Other values (159) 825
37.8%
Decimal Number
ValueCountFrequency (%)
1 110
20.5%
2 69
12.8%
8 52
9.7%
3 51
9.5%
5 48
8.9%
6 44
 
8.2%
0 43
 
8.0%
9 41
 
7.6%
7 41
 
7.6%
4 38
 
7.1%
Space Separator
ValueCountFrequency (%)
665
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2185
63.7%
Common 1243
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 211
 
9.7%
상 198
 
9.1%
북 197
 
9.0%
도 192
 
8.8%
리 153
 
7.0%
면 117
 
5.4%
시 102
 
4.7%
군 69
 
3.2%
산 64
 
2.9%
동 57
 
2.6%
Other values (159) 825
37.8%
Common
ValueCountFrequency (%)
665
53.5%
1 110
 
8.8%
2 69
 
5.6%
8 52
 
4.2%
3 51
 
4.1%
5 48
 
3.9%
6 44
 
3.5%
0 43
 
3.5%
9 41
 
3.3%
7 41
 
3.3%
Other values (4) 79
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2185
63.7%
ASCII 1243
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
665
53.5%
1 110
 
8.8%
2 69
 
5.6%
8 52
 
4.2%
3 51
 
4.1%
5 48
 
3.9%
6 44
 
3.5%
0 43
 
3.5%
9 41
 
3.3%
7 41
 
3.3%
Other values (4) 79
 
6.4%
Hangul
ValueCountFrequency (%)
경 211
 
9.7%
상 198
 
9.1%
북 197
 
9.0%
도 192
 
8.8%
리 153
 
7.0%
면 117
 
5.4%
시 102
 
4.7%
군 69
 
3.2%
산 64
 
2.9%
동 57
 
2.6%
Other values (159) 825
37.8%

Missing values

2023-12-12T08:56:38.035024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:56:38.102992image/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

사찰명사찰전화소재지
0보경사054-262-1117경상북도 포항시 송라면 중산리 622
1오어사054-292-2083경상북도 포항시 오천읍 항사리 34
2천곡사054-261-6446경상북도 포항시 흥해읍 학천리 796
3임허사054-261-0331경상북도 포항시 흥해읍 옥성리 131
4무학사054-243-1751경상북도 포항시 기계면 문성리 산8-1
5고석사054-276-0370경상북도 포항시 장기면 방산2리 887
6일출선원054-291-3436경상북도 포항시 동해면 중산리 36-1
7죽림사054-247-4688경상북도 포항시 북구 용흥1동 88
8법광사054-243-0178경상북도 포항시 신광면 상읍2리 875
9몽운사054-284-3402경상북도 포항시 동해면 금광1리 64-1
사찰명사찰전화소재지
165장안사054-655-1400경상북도 예천군 용궁면 향석리 산 54
166청룡사054-655-8281경상북도 예천군 용문면 선리 521
167동악사054-652-1212경상북도 예천군 예천읍 동본리 171-1
168청량사054-672-1446경상북도 봉화군 명호면 북곡리 247
169축서사054-672-7579경상북도 봉화군 물야면 개단리 산1
170각화사054-672-2207경상북도 봉화군 춘양면 석현리 559
171홍제사054-672-3410경상북도 봉화군 소천면 고선리 127-6
172천성사054-672-9951경상북도 봉화군 봉성면 금봉리 261
173지림사054-673-6735경상북도 봉화군 물야면 북지리 657-3
174불영사054-783-5004경상북도 울진군 서면 하원리 120