Overview

Dataset statistics

Number of variables6
Number of observations127
Missing cells126
Missing cells (%)16.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory49.0 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description전라북도 정읍시 소재 문화재 현황중( 종류, 종별지정번호, 문화재명, 소재지도로명주소, 소재지지번주소, 지정일자)등의 정보를 제공합니다.
Author전라북도 정읍시
URLhttps://www.data.go.kr/data/3079862/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지도로명주소 has 100 (78.7%) missing valuesMissing
소재지지번주소 has 26 (20.5%) missing valuesMissing
문화재명 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:05:15.418284
Analysis finished2023-12-16 15:05:19.848282
Duration4.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

Distinct12
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
유형문화재
25 
향토문화유산
21 
기념물
18 
문화재자료
18 
등록문화재
11 
Other values (7)
34 

Length

Max length7
Median length6
Mean length4.4645669
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 25
19.7%
향토문화유산 21
16.5%
기념물 18
14.2%
문화재자료 18
14.2%
등록문화재 11
8.7%
전통사찰 10
 
7.9%
보물 8
 
6.3%
도 무형 6
 
4.7%
사적 5
 
3.9%
천연기념물 2
 
1.6%
Other values (2) 3
 
2.4%

Length

2023-12-16T15:05:20.266270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유형문화재 25
18.8%
향토문화유산 21
15.8%
기념물 18
13.5%
문화재자료 18
13.5%
등록문화재 11
8.3%
전통사찰 10
 
7.5%
보물 8
 
6.0%
도 6
 
4.5%
무형 6
 
4.5%
사적 5
 
3.8%
Other values (3) 5
 
3.8%

문화재명
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-16T15:05:21.165035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length15
Mean length7.480315
Min length2

Characters and Unicode

Total characters950
Distinct characters215
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)100.0%

Sample

1st row정읍 은선리 삼층석탑
2nd row정읍 피향정
3rd row정읍 천곡사지 칠층석탑
4th row김회련 개국원종 공신녹권
5th row김회련 고신왕지
ValueCountFrequency (%)
정읍 19
 
9.1%
묘 3
 
1.4%
대성전 3
 
1.4%
보화리 2
 
1.0%
구일본인 2
 
1.0%
화호리 2
 
1.0%
편지 2
 
1.0%
고택 2
 
1.0%
내장산 2
 
1.0%
전봉준 2
 
1.0%
Other values (166) 170
81.3%
2023-12-16T15:05:23.050555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
8.6%
정 41
 
4.3%
사 40
 
4.2%
리 25
 
2.6%
읍 23
 
2.4%
석 21
 
2.2%
고 18
 
1.9%
지 17
 
1.8%
장 16
 
1.7%
원 15
 
1.6%
Other values (205) 652
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 843
88.7%
Space Separator 82
 
8.6%
Decimal Number 8
 
0.8%
Open Punctuation 7
 
0.7%
Close Punctuation 7
 
0.7%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 41
 
4.9%
사 40
 
4.7%
리 25
 
3.0%
읍 23
 
2.7%
석 21
 
2.5%
고 18
 
2.1%
지 17
 
2.0%
장 16
 
1.9%
원 15
 
1.8%
동 15
 
1.8%
Other values (194) 612
72.6%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
1 2
25.0%
5 1
12.5%
8 1
12.5%
7 1
12.5%
2 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 843
88.7%
Common 107
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 41
 
4.9%
사 40
 
4.7%
리 25
 
3.0%
읍 23
 
2.7%
석 21
 
2.5%
고 18
 
2.1%
지 17
 
2.0%
장 16
 
1.9%
원 15
 
1.8%
동 15
 
1.8%
Other values (194) 612
72.6%
Common
ValueCountFrequency (%)
82
76.6%
( 7
 
6.5%
) 7
 
6.5%
, 2
 
1.9%
0 2
 
1.9%
1 2
 
1.9%
5 1
 
0.9%
· 1
 
0.9%
8 1
 
0.9%
7 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 843
88.7%
ASCII 106
 
11.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
77.4%
( 7
 
6.6%
) 7
 
6.6%
, 2
 
1.9%
0 2
 
1.9%
1 2
 
1.9%
5 1
 
0.9%
8 1
 
0.9%
7 1
 
0.9%
2 1
 
0.9%
Hangul
ValueCountFrequency (%)
정 41
 
4.9%
사 40
 
4.7%
리 25
 
3.0%
읍 23
 
2.7%
석 21
 
2.5%
고 18
 
2.1%
지 17
 
2.0%
장 16
 
1.9%
원 15
 
1.8%
동 15
 
1.8%
Other values (194) 612
72.6%
None
ValueCountFrequency (%)
· 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct18
Distinct (%)66.7%
Missing100
Missing (%)78.7%
Memory size1.1 KiB
2023-12-16T15:05:23.914181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length23.222222
Min length13

Characters and Unicode

Total characters627
Distinct characters70
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

Unique16 ?
Unique (%)59.3%

Sample

1st row전라북도 정읍시 내장산로 370-12(시립박물관)
2nd row전라북도 정읍시 내장산로 370-12(시립박물관)
3rd row전라북도 정읍시 내장산로 370-12(시립박물관)
4th row전라북도 정읍시 내장산로 370-12(시립박물관)
5th row전라북도 정읍시 덕천면 동학로 742(동학농민혁명기념관)
ValueCountFrequency (%)
전라북도 27
22.9%
정읍시 27
22.9%
내장산로 7
 
5.9%
370-12(시립박물관 6
 
5.1%
덕천면 6
 
5.1%
동학로 5
 
4.2%
742(동학농민혁명기념관 5
 
4.2%
태인면 3
 
2.5%
정신로 2
 
1.7%
북면 2
 
1.7%
Other values (28) 28
23.7%
2023-12-16T15:05:25.371886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
14.5%
시 33
 
5.3%
정 30
 
4.8%
북 29
 
4.6%
전 27
 
4.3%
읍 27
 
4.3%
라 27
 
4.3%
도 27
 
4.3%
2 23
 
3.7%
1 19
 
3.0%
Other values (60) 294
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
63.3%
Decimal Number 105
 
16.7%
Space Separator 91
 
14.5%
Close Punctuation 11
 
1.8%
Open Punctuation 11
 
1.8%
Dash Punctuation 11
 
1.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 33
 
8.3%
정 30
 
7.6%
북 29
 
7.3%
전 27
 
6.8%
읍 27
 
6.8%
라 27
 
6.8%
도 27
 
6.8%
로 16
 
4.0%
면 14
 
3.5%
동 11
 
2.8%
Other values (45) 156
39.3%
Decimal Number
ValueCountFrequency (%)
2 23
21.9%
1 19
18.1%
7 13
12.4%
3 12
11.4%
0 11
10.5%
4 10
9.5%
6 5
 
4.8%
5 4
 
3.8%
9 4
 
3.8%
8 4
 
3.8%
Space Separator
ValueCountFrequency (%)
91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
63.3%
Common 230
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 33
 
8.3%
정 30
 
7.6%
북 29
 
7.3%
전 27
 
6.8%
읍 27
 
6.8%
라 27
 
6.8%
도 27
 
6.8%
로 16
 
4.0%
면 14
 
3.5%
동 11
 
2.8%
Other values (45) 156
39.3%
Common
ValueCountFrequency (%)
91
39.6%
2 23
 
10.0%
1 19
 
8.3%
7 13
 
5.7%
3 12
 
5.2%
) 11
 
4.8%
( 11
 
4.8%
- 11
 
4.8%
0 11
 
4.8%
4 10
 
4.3%
Other values (5) 18
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
63.3%
ASCII 230
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
39.6%
2 23
 
10.0%
1 19
 
8.3%
7 13
 
5.7%
3 12
 
5.2%
) 11
 
4.8%
( 11
 
4.8%
- 11
 
4.8%
0 11
 
4.8%
4 10
 
4.3%
Other values (5) 18
 
7.8%
Hangul
ValueCountFrequency (%)
시 33
 
8.3%
정 30
 
7.6%
북 29
 
7.3%
전 27
 
6.8%
읍 27
 
6.8%
라 27
 
6.8%
도 27
 
6.8%
로 16
 
4.0%
면 14
 
3.5%
동 11
 
2.8%
Other values (45) 156
39.3%

소재지지번주소
Text

MISSING 

Distinct93
Distinct (%)92.1%
Missing26
Missing (%)20.5%
Memory size1.1 KiB
2023-12-16T15:05:26.628116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.039604
Min length14

Characters and Unicode

Total characters2024
Distinct characters104
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

Unique87 ?
Unique (%)86.1%

Sample

1st row전라북도 정읍시 영원면 은선리 43
2nd row전라북도 정읍시 태인면 태창리 102-2
3rd row전라북도 정읍시 망제동 산9-2
4th row전라북도 정읍시 소성면 화룡리 85
5th row전라북도 정읍시 소성면 보화리 110-6
ValueCountFrequency (%)
정읍시 101
21.4%
전라북도 89
18.9%
고부면 13
 
2.8%
칠보면 11
 
2.3%
영원면 10
 
2.1%
태인면 10
 
2.1%
덕천면 9
 
1.9%
은선리 7
 
1.5%
무성리 7
 
1.5%
이평면 7
 
1.5%
Other values (152) 208
44.1%
2023-12-16T15:05:28.770033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
373
18.4%
읍 108
 
5.3%
시 108
 
5.3%
정 105
 
5.2%
북 91
 
4.5%
도 90
 
4.4%
전 90
 
4.4%
라 89
 
4.4%
면 74
 
3.7%
리 73
 
3.6%
Other values (94) 823
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1274
62.9%
Space Separator 373
 
18.4%
Decimal Number 317
 
15.7%
Dash Punctuation 46
 
2.3%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
읍 108
 
8.5%
시 108
 
8.5%
정 105
 
8.2%
북 91
 
7.1%
도 90
 
7.1%
전 90
 
7.1%
라 89
 
7.0%
면 74
 
5.8%
리 73
 
5.7%
산 40
 
3.1%
Other values (80) 406
31.9%
Decimal Number
ValueCountFrequency (%)
1 72
22.7%
3 37
11.7%
2 37
11.7%
4 34
10.7%
6 25
 
7.9%
0 25
 
7.9%
9 24
 
7.6%
5 24
 
7.6%
7 24
 
7.6%
8 15
 
4.7%
Space Separator
ValueCountFrequency (%)
373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1274
62.9%
Common 750
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
읍 108
 
8.5%
시 108
 
8.5%
정 105
 
8.2%
북 91
 
7.1%
도 90
 
7.1%
전 90
 
7.1%
라 89
 
7.0%
면 74
 
5.8%
리 73
 
5.7%
산 40
 
3.1%
Other values (80) 406
31.9%
Common
ValueCountFrequency (%)
373
49.7%
1 72
 
9.6%
- 46
 
6.1%
3 37
 
4.9%
2 37
 
4.9%
4 34
 
4.5%
6 25
 
3.3%
0 25
 
3.3%
9 24
 
3.2%
5 24
 
3.2%
Other values (4) 53
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1274
62.9%
ASCII 750
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
373
49.7%
1 72
 
9.6%
- 46
 
6.1%
3 37
 
4.9%
2 37
 
4.9%
4 34
 
4.5%
6 25
 
3.3%
0 25
 
3.3%
9 24
 
3.2%
5 24
 
3.2%
Other values (4) 53
 
7.1%
Hangul
ValueCountFrequency (%)
읍 108
 
8.5%
시 108
 
8.5%
정 105
 
8.2%
북 91
 
7.1%
도 90
 
7.1%
전 90
 
7.1%
라 89
 
7.0%
면 74
 
5.8%
리 73
 
5.7%
산 40
 
3.1%
Other values (80) 406
31.9%

지정일자
Date

Distinct64
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1962-12-03 00:00:00
Maximum2022-02-10 00:00:00
2023-12-16T15:05:29.545616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:05:30.199923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-15
127 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-15
2nd row2023-12-15
3rd row2023-12-15
4th row2023-12-15
5th row2023-12-15

Common Values

ValueCountFrequency (%)
2023-12-15 127
100.0%

Length

2023-12-16T15:05:31.030017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:05:31.470752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-15 127
100.0%

Correlations

2023-12-16T15:05:31.832611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류소재지도로명주소소재지지번주소지정일자
종류1.0000.6250.9750.995
소재지도로명주소0.6251.000NaN0.685
소재지지번주소0.975NaN1.0000.997
지정일자0.9950.6850.9971.000

Missing values

2023-12-16T15:05:18.241767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:05:19.025523image/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.
2023-12-16T15:05:19.524289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

종류문화재명소재지도로명주소소재지지번주소지정일자데이터기준일자
0보물정읍 은선리 삼층석탑<NA>전라북도 정읍시 영원면 은선리 431963-01-212023-12-15
1보물정읍 피향정<NA>전라북도 정읍시 태인면 태창리 102-21963-01-212023-12-15
2보물정읍 천곡사지 칠층석탑<NA>전라북도 정읍시 망제동 산9-21963-01-212023-12-15
3보물김회련 개국원종 공신녹권전라북도 정읍시 내장산로 370-12(시립박물관)<NA>1966-02-082023-12-15
4보물김회련 고신왕지전라북도 정읍시 내장산로 370-12(시립박물관)<NA>1966-02-082023-12-15
5보물장관 개국원종 공신녹권<NA>전라북도 정읍시 소성면 화룡리 851981-07-152023-12-15
6보물정읍 보화리 석조이불입상<NA>전라북도 정읍시 소성면 보화리 110-61987-03-092023-12-15
7보물태인고현동향약전라북도 정읍시 내장산로 370-12(시립박물관)<NA>1993-11-052023-12-15
8사적정읍 무성서원<NA>전라북도 정읍시 칠보면 무성리 5001968-12-192023-12-15
9사적정읍 전봉준 유적<NA>전라북도 정읍시 이평면 장내리 458-11981-11-282023-12-15
종류문화재명소재지도로명주소소재지지번주소지정일자데이터기준일자
117전통사찰내장사전라북도 정읍시 내장산로 1253<NA>1988-07-282023-12-15
118전통사찰정토사전라북도 정읍시 정우면 정신로 832-20<NA>1988-10-212023-12-15
119전통사찰유선사전라북도 정읍시 고부면 영원로 644-224<NA>1988-10-212023-12-15
120전통사찰일광사전라북도 정읍시 성황산길 502<NA>1992-03-022023-12-15
121전통사찰법인사전라북도 정읍시 상신경1길 97<NA>1992-03-022023-12-15
122전통사찰정혜사전라북도 정읍시 죽림2길 28<NA>1992-03-022023-12-15
123전통사찰석탄사전라북도 정읍시 칠보면 허궁실길 186-125<NA>1992-03-022023-12-15
124전통사찰남산사전라북도 정읍시 북면 정신로 183-64<NA>1992-03-022023-12-15
125전통사찰보림사전라북도 정읍시 북면 보림1길 497<NA>1992-03-022023-12-15
126전통사찰다천사전라북도 정읍시 태인면 태흥1길 59<NA>1992-08-202023-12-15