Overview

Dataset statistics

Number of variables9
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory74.9 B

Variable types

Numeric1
Categorical4
Text3
DateTime1

Dataset

Description문화재 현황과 관련된 데이터로서 유무형 구분, 지정번호, 지정명칭, 주소, 지정별, 지정일자 등을 포함하고 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/3079716/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
지정별 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
지정명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:34:01.806364
Analysis finished2023-12-12 01:34:02.695860
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2023-12-12T10:34:02.777783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2023-12-12T10:34:02.936414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

구분
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
유형문화재
20 
향토유적
15 
문화재자료
13 
도기념물
보물
Other values (6)
11 

Length

Max length7
Median length5
Mean length4.4647887
Min length2

Unique

Unique3 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 20
28.2%
향토유적 15
21.1%
문화재자료 13
18.3%
도기념물 8
 
11.3%
보물 4
 
5.6%
사적 3
 
4.2%
무형문화재 3
 
4.2%
국가무형문화재 2
 
2.8%
천연기념물 1
 
1.4%
국가민속문화재 1
 
1.4%

Length

2023-12-12T10:34:03.112086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
유형문화재 20
28.2%
향토유적 15
21.1%
문화재자료 13
18.3%
도기념물 8
 
11.3%
보물 4
 
5.6%
사적 3
 
4.2%
무형문화재 3
 
4.2%
국가무형문화재 2
 
2.8%
천연기념물 1
 
1.4%
국가민속문화재 1
 
1.4%
Distinct65
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T10:34:03.416129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.4647887
Min length2

Characters and Unicode

Total characters246
Distinct characters12
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

Unique61 ?
Unique (%)85.9%

Sample

1st row387호
2nd row388호
3rd row389호
4th row1708호
5th row128호
ValueCountFrequency (%)
2호 4
 
5.6%
49호 2
 
2.8%
128호 2
 
2.8%
178호 2
 
2.8%
161호 1
 
1.4%
1호 1
 
1.4%
81호 1
 
1.4%
195호 1
 
1.4%
103호 1
 
1.4%
89호 1
 
1.4%
Other values (55) 55
77.5%
2023-12-12T10:34:03.924951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
28.9%
1 33
13.4%
3 28
 
11.4%
2 20
 
8.1%
8 18
 
7.3%
4 15
 
6.1%
7 13
 
5.3%
6 13
 
5.3%
9 12
 
4.9%
0 10
 
4.1%
Other values (2) 13
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 172
69.9%
Other Letter 71
28.9%
Dash Punctuation 3
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
19.2%
3 28
16.3%
2 20
11.6%
8 18
10.5%
4 15
8.7%
7 13
 
7.6%
6 13
 
7.6%
9 12
 
7.0%
0 10
 
5.8%
5 10
 
5.8%
Other Letter
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175
71.1%
Hangul 71
28.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33
18.9%
3 28
16.0%
2 20
11.4%
8 18
10.3%
4 15
8.6%
7 13
 
7.4%
6 13
 
7.4%
9 12
 
6.9%
0 10
 
5.7%
5 10
 
5.7%
Hangul
ValueCountFrequency (%)
71
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175
71.1%
Hangul 71
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
71
100.0%
ASCII
ValueCountFrequency (%)
1 33
18.9%
3 28
16.0%
2 20
11.4%
8 18
10.3%
4 15
8.6%
7 13
 
7.4%
6 13
 
7.4%
9 12
 
6.9%
0 10
 
5.7%
5 10
 
5.7%

지정명칭
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T10:34:04.335306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length10.014085
Min length2

Characters and Unicode

Total characters711
Distinct characters165
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row양주 회암사지 선각왕사비
2nd row양주 회암사지 무학대사탑
3rd row양주회암사지무학대사탑앞쌍사자석등
4th row반야심경소현정기(언해)
5th row회암사지
ValueCountFrequency (%)
양주 21
 
12.6%
청련사 14
 
8.4%
13
 
7.8%
12
 
7.2%
회암사지 6
 
3.6%
신도비 5
 
3.0%
복장물 4
 
2.4%
이준선생 2
 
1.2%
석조지장보살좌상 2
 
1.2%
묘역 2
 
1.2%
Other values (84) 86
51.5%
2023-12-12T10:34:04.928824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
13.5%
39
 
5.5%
35
 
4.9%
34
 
4.8%
21
 
3.0%
19
 
2.7%
18
 
2.5%
15
 
2.1%
15
 
2.1%
15
 
2.1%
Other values (155) 404
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 608
85.5%
Space Separator 96
 
13.5%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
6.4%
35
 
5.8%
34
 
5.6%
21
 
3.5%
19
 
3.1%
18
 
3.0%
15
 
2.5%
15
 
2.5%
15
 
2.5%
15
 
2.5%
Other values (151) 382
62.8%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 608
85.5%
Common 103
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
6.4%
35
 
5.8%
34
 
5.6%
21
 
3.5%
19
 
3.1%
18
 
3.0%
15
 
2.5%
15
 
2.5%
15
 
2.5%
15
 
2.5%
Other values (151) 382
62.8%
Common
ValueCountFrequency (%)
96
93.2%
( 3
 
2.9%
) 3
 
2.9%
, 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 608
85.5%
ASCII 103
 
14.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
93.2%
( 3
 
2.9%
) 3
 
2.9%
, 1
 
1.0%
Hangul
ValueCountFrequency (%)
39
 
6.4%
35
 
5.8%
34
 
5.6%
21
 
3.5%
19
 
3.1%
18
 
3.0%
15
 
2.5%
15
 
2.5%
15
 
2.5%
15
 
2.5%
Other values (151) 382
62.8%
Distinct45
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T10:34:05.289882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length21.183099
Min length13

Characters and Unicode

Total characters1504
Distinct characters88
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

Unique35 ?
Unique (%)49.3%

Sample

1st row경기도 양주시 회암동 산8-1
2nd row경기도 양주시 회암동 4
3rd row경기도 양주시 회암동 4
4th row경기도 양주시 장흥면 호국로 550번길 346-11(송암사)
5th row경기도 양주시 회암동 산14-3
ValueCountFrequency (%)
경기도 71
20.9%
양주시 71
20.9%
장흥면 22
 
6.5%
권율로 16
 
4.7%
169(청련사 15
 
4.4%
백석읍 8
 
2.4%
회암동 8
 
2.4%
회암사길 5
 
1.5%
광적면 5
 
1.5%
281 4
 
1.2%
Other values (83) 114
33.6%
2023-12-12T10:34:05.825763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
17.8%
74
 
4.9%
73
 
4.9%
72
 
4.8%
72
 
4.8%
72
 
4.8%
71
 
4.7%
1 67
 
4.5%
37
 
2.5%
37
 
2.5%
Other values (78) 661
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 897
59.6%
Decimal Number 269
 
17.9%
Space Separator 268
 
17.8%
Dash Punctuation 27
 
1.8%
Open Punctuation 21
 
1.4%
Close Punctuation 21
 
1.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
74
 
8.2%
73
 
8.1%
72
 
8.0%
72
 
8.0%
72
 
8.0%
71
 
7.9%
37
 
4.1%
37
 
4.1%
25
 
2.8%
25
 
2.8%
Other values (63) 339
37.8%
Decimal Number
ValueCountFrequency (%)
1 67
24.9%
2 36
13.4%
9 35
13.0%
6 30
11.2%
4 23
 
8.6%
5 22
 
8.2%
3 20
 
7.4%
8 14
 
5.2%
7 13
 
4.8%
0 9
 
3.3%
Space Separator
ValueCountFrequency (%)
268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 897
59.6%
Common 607
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
74
 
8.2%
73
 
8.1%
72
 
8.0%
72
 
8.0%
72
 
8.0%
71
 
7.9%
37
 
4.1%
37
 
4.1%
25
 
2.8%
25
 
2.8%
Other values (63) 339
37.8%
Common
ValueCountFrequency (%)
268
44.2%
1 67
 
11.0%
2 36
 
5.9%
9 35
 
5.8%
6 30
 
4.9%
- 27
 
4.4%
4 23
 
3.8%
5 22
 
3.6%
( 21
 
3.5%
) 21
 
3.5%
Other values (5) 57
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 897
59.6%
ASCII 607
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
44.2%
1 67
 
11.0%
2 36
 
5.9%
9 35
 
5.8%
6 30
 
4.9%
- 27
 
4.4%
4 23
 
3.8%
5 22
 
3.6%
( 21
 
3.5%
) 21
 
3.5%
Other values (5) 57
 
9.4%
Hangul
ValueCountFrequency (%)
74
 
8.2%
73
 
8.1%
72
 
8.0%
72
 
8.0%
72
 
8.0%
71
 
7.9%
37
 
4.1%
37
 
4.1%
25
 
2.8%
25
 
2.8%
Other values (63) 339
37.8%

지정별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
도지정
45 
시지정
15 
국가지정
11 

Length

Max length4
Median length3
Mean length3.1549296
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도지정 45
63.4%
시지정 15
 
21.1%
국가지정 11
 
15.5%

Length

2023-12-12T10:34:06.017567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:34:06.162016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도지정 45
63.4%
시지정 15
 
21.1%
국가지정 11
 
15.5%
Distinct36
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum1963-09-02 00:00:00
Maximum2020-12-03 00:00:00
2023-12-12T10:34:06.320966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:34:06.495161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
양주시 문화관광과
71 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시 문화관광과
2nd row양주시 문화관광과
3rd row양주시 문화관광과
4th row양주시 문화관광과
5th row양주시 문화관광과

Common Values

ValueCountFrequency (%)
양주시 문화관광과 71
100.0%

Length

2023-12-12T10:34:06.674016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:34:06.793099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 71
50.0%
문화관광과 71
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-11-01
71 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-01
2nd row2023-11-01
3rd row2023-11-01
4th row2023-11-01
5th row2023-11-01

Common Values

ValueCountFrequency (%)
2023-11-01 71
100.0%

Length

2023-12-12T10:34:06.909796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:34:07.028926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-01 71
100.0%

Interactions

2023-12-12T10:34:02.276650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:34:07.098231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분지정번호지정명칭소재지지정별지정일자
연번1.0000.8940.5621.0000.9130.9370.939
구분0.8941.0000.0001.0000.9751.0000.986
지정번호0.5620.0001.0001.0000.0000.7730.000
지정명칭1.0001.0001.0001.0001.0001.0001.000
소재지0.9130.9750.0001.0001.0000.9650.986
지정별0.9371.0000.7731.0000.9651.0001.000
지정일자0.9390.9860.0001.0000.9861.0001.000
2023-12-12T10:34:07.233464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정별구분
지정별1.0000.939
구분0.9391.000
2023-12-12T10:34:07.332376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분지정별
연번1.0000.6380.871
구분0.6381.0000.939
지정별0.8710.9391.000

Missing values

2023-12-12T10:34:02.466810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:34:02.635486image/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

연번구분지정번호지정명칭소재지지정별지정일자관리기관명데이터기준일자
01보물387호양주 회암사지 선각왕사비경기도 양주시 회암동 산8-1국가지정1963-09-02양주시 문화관광과2023-11-01
12보물388호양주 회암사지 무학대사탑경기도 양주시 회암동 4국가지정1963-09-02양주시 문화관광과2023-11-01
23보물389호양주회암사지무학대사탑앞쌍사자석등경기도 양주시 회암동 4국가지정1963-09-02양주시 문화관광과2023-11-01
34보물1708호반야심경소현정기(언해)경기도 양주시 장흥면 호국로 550번길 346-11(송암사)국가지정2011-02-25양주시 문화관광과2023-11-01
45사적128호회암사지경기도 양주시 회암동 산14-3국가지정1964-06-10양주시 문화관광과2023-11-01
56사적210호온능경기도 양주시 장흥면 호국로 255-41국가지정1970-05-26양주시 문화관광과2023-11-01
67사적526호양주 대모산성경기도 양주시 백석읍 방성리 789 일원국가지정2013-06-21양주시 문화관광과2023-11-01
78천연기념물278호양주 황방리 느티나무경기도 양주시 남 면 황방리 136국가지정1982-11-04양주시 문화관광과2023-11-01
89국가민속문화재128호양주매곡리 고택경기도 양주시 남면 휴암로421번길 50-3 (매곡리 282-3)국가지정1984-01-10양주시 문화관광과2023-11-01
910국가무형문화재2호양주별산대놀이경기도 양주시 부흥로1399번길 47국가지정1964-12-07양주시 문화관광과2023-11-01
연번구분지정번호지정명칭소재지지정별지정일자관리기관명데이터기준일자
6162향토유적8호송질선생 묘 및 신도비경기도 양주시 은현면 선암리 산15-1시지정1986-04-15양주시 문화관광과2023-11-01
6263향토유적9호윤자운선생 묘 및 신도비경기도 양주시 백석읍 홍죽리 산27시지정1986-04-15양주시 문화관광과2023-11-01
6364향토유적10호남희선생 묘경기도 양주시 은현면 도하리 산16시지정1986-04-15양주시 문화관광과2023-11-01
6465향토유적11호홍지선생 묘경기도 양주시 남 면 상수리 산55-1시지정1986-04-15양주시 문화관광과2023-11-01
6566향토유적12호조영무 별묘경기도 양주시 백석읍 연곡리 산25시지정1986-04-15양주시 문화관광과2023-11-01
6667향토유적13호회암사지 당간지주경기도 양주시 회암동 18시지정1986-04-15양주시 문화관광과2023-11-01
6768향토유적14호빗접바위(율암)경기도 양주시 광적면 덕도리 산97-1시지정1986-04-15양주시 문화관광과2023-11-01
6869향토유적16호윤근수 사당경기도 양주시 옥정동 776-2시지정2001-07-27양주시 문화관광과2023-11-01
6970향토유적17호홍서봉 신도비 및 묘역경기도 양주시 남면 감악산로52번길 23-12시지정2006-01-19양주시 문화관광과2023-11-01
7071향토유적18호양주들노래경기도 양주시 백석읍 중앙로 226-24시지정2010-09-07양주시 문화관광과2023-11-01