Overview

Dataset statistics

Number of variables8
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory68.3 B

Variable types

Categorical5
Numeric1
Text1
DateTime1

Dataset

Description인천광역시 연수구 문화재 현황에 대한 데이터로 문화재의 분류와 지정번호, 문화재 명칭, 소재지 및 관리자, 지정일자 등의 항목을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3081044&srcSe=7661IVAWM27C61E190

Alerts

구분 is highly overall correlated with 지정번호 and 4 other fieldsHigh correlation
연락처 is highly overall correlated with 지정 and 3 other fieldsHigh correlation
소재지 is highly overall correlated with 지정 and 3 other fieldsHigh correlation
소유자(관리자) is highly overall correlated with 지정 and 3 other fieldsHigh correlation
지정 is highly overall correlated with 지정번호 and 4 other fieldsHigh correlation
지정번호 is highly overall correlated with 지정 and 1 other fieldsHigh correlation
명칭 has unique valuesUnique

Reproduction

Analysis started2024-04-29 13:46:01.599141
Analysis finished2024-04-29 13:46:02.182065
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
25 
국가
15 

Length

Max length2
Median length1
Mean length1.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
25
62.5%
국가 15
37.5%

Length

2024-04-29T22:46:02.236293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:46:02.331654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
25
62.5%
국가 15
37.5%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
유형
17 
보물
14 
문화재자료
기념물
국보
 
1

Length

Max length5
Median length2
Mean length2.45
Min length2

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
유형 17
42.5%
보물 14
35.0%
문화재자료 5
 
12.5%
기념물 3
 
7.5%
국보 1
 
2.5%

Length

2024-04-29T22:46:02.440919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:46:02.545175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형 17
42.5%
보물 14
35.0%
문화재자료 5
 
12.5%
기념물 3
 
7.5%
국보 1
 
2.5%

지정번호
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.875
Minimum3
Maximum1716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-29T22:46:02.649165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q127.75
median71.5
Q31179.25
95-th percentile1249.05
Maximum1716
Range1713
Interquartile range (IQR)1151.5

Descriptive statistics

Standard deviation580.70087
Coefficient of variation (CV)1.2464736
Kurtosis-1.3774934
Mean465.875
Median Absolute Deviation (MAD)66
Skewness0.71512526
Sum18635
Variance337213.5
MonotonicityNot monotonic
2024-04-29T22:46:02.957295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 2
 
5.0%
4 2
 
5.0%
276 1
 
2.5%
59 1
 
2.5%
64 1
 
2.5%
65 1
 
2.5%
66 1
 
2.5%
71 1
 
2.5%
72 1
 
2.5%
73 1
 
2.5%
Other values (28) 28
70.0%
ValueCountFrequency (%)
3 1
2.5%
4 2
5.0%
5 2
5.0%
6 1
2.5%
8 1
2.5%
13 1
2.5%
14 1
2.5%
27 1
2.5%
28 1
2.5%
34 1
2.5%
ValueCountFrequency (%)
1716 1
2.5%
1250 1
2.5%
1249 1
2.5%
1227 1
2.5%
1209 1
2.5%
1208 1
2.5%
1207 1
2.5%
1206 1
2.5%
1205 1
2.5%
1180 1
2.5%

명칭
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-29T22:46:03.145248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.9
Min length2

Characters and Unicode

Total characters396
Distinct characters157
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row초조본 유가사지론 권53
2nd row대방광불화엄경 정원본 권31
3rd row재조본 경률이상 권1
4th row향약제생집성방 권6
5th row태산요록
ValueCountFrequency (%)
초조본 3
 
3.8%
권1 2
 
2.5%
「대방광불화엄경」 2
 
2.5%
흥륜사 2
 
2.5%
연수구 2
 
2.5%
권17 2
 
2.5%
주본 2
 
2.5%
소장 2
 
2.5%
대방광불화엄경 2
 
2.5%
재조본 1
 
1.2%
Other values (60) 60
75.0%
2024-04-29T22:46:03.457105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
10.1%
15
 
3.8%
11
 
2.8%
10
 
2.5%
1 10
 
2.5%
9
 
2.3%
7 7
 
1.8%
7
 
1.8%
7
 
1.8%
7
 
1.8%
Other values (147) 273
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 308
77.8%
Space Separator 40
 
10.1%
Decimal Number 32
 
8.1%
Open Punctuation 6
 
1.5%
Close Punctuation 6
 
1.5%
Other Punctuation 3
 
0.8%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
4.9%
11
 
3.6%
10
 
3.2%
9
 
2.9%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
6
 
1.9%
Other values (132) 222
72.1%
Decimal Number
ValueCountFrequency (%)
1 10
31.2%
7 7
21.9%
6 4
 
12.5%
3 4
 
12.5%
0 3
 
9.4%
2 2
 
6.2%
5 1
 
3.1%
8 1
 
3.1%
Open Punctuation
ValueCountFrequency (%)
5
83.3%
( 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
5
83.3%
) 1
 
16.7%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 308
77.8%
Common 88
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
4.9%
11
 
3.6%
10
 
3.2%
9
 
2.9%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
6
 
1.9%
Other values (132) 222
72.1%
Common
ValueCountFrequency (%)
40
45.5%
1 10
 
11.4%
7 7
 
8.0%
5
 
5.7%
5
 
5.7%
6 4
 
4.5%
3 4
 
4.5%
, 3
 
3.4%
0 3
 
3.4%
2 2
 
2.3%
Other values (5) 5
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 308
77.8%
ASCII 78
 
19.7%
None 10
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
51.3%
1 10
 
12.8%
7 7
 
9.0%
6 4
 
5.1%
3 4
 
5.1%
, 3
 
3.8%
0 3
 
3.8%
2 2
 
2.6%
) 1
 
1.3%
( 1
 
1.3%
Other values (3) 3
 
3.8%
Hangul
ValueCountFrequency (%)
15
 
4.9%
11
 
3.6%
10
 
3.2%
9
 
2.9%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
7
 
2.3%
6
 
1.9%
Other values (132) 222
72.1%
None
ValueCountFrequency (%)
5
50.0%
5
50.0%

소재지
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
인천광역시 연수구 청량로102번길 40-9 가천박물관
18 
인천광역시 연수구 청량로160번길 26 인천시립박물관
10 
인천광역시 연수구 청량로70번길 40-17
인천광역시 연수구 청량로46번길 38
인천광역시 연수구 옥련동 194-54
 
1
Other values (2)

Length

Max length29
Median length29
Mean length26.825
Min length18

Unique

Unique3 ?
Unique (%)7.5%

Sample

1st row인천광역시 연수구 청량로102번길 40-9 가천박물관
2nd row인천광역시 연수구 청량로102번길 40-9 가천박물관
3rd row인천광역시 연수구 청량로102번길 40-9 가천박물관
4th row인천광역시 연수구 청량로102번길 40-9 가천박물관
5th row인천광역시 연수구 청량로102번길 40-9 가천박물관

Common Values

ValueCountFrequency (%)
인천광역시 연수구 청량로102번길 40-9 가천박물관 18
45.0%
인천광역시 연수구 청량로160번길 26 인천시립박물관 10
25.0%
인천광역시 연수구 청량로70번길 40-17 7
 
17.5%
인천광역시 연수구 청량로46번길 38 2
 
5.0%
인천광역시 연수구 옥련동 194-54 1
 
2.5%
인천광역시 연수구 동곡재로 68(동춘동) 1
 
2.5%
인천광역시 연수구 경원대로 322 1
 
2.5%

Length

2024-04-29T22:46:03.580136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:46:03.674437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 40
21.3%
연수구 40
21.3%
청량로102번길 18
9.6%
40-9 18
9.6%
가천박물관 18
9.6%
청량로160번길 10
 
5.3%
26 10
 
5.3%
인천시립박물관 10
 
5.3%
40-17 7
 
3.7%
청량로70번길 7
 
3.7%
Other values (8) 10
 
5.3%

소유자(관리자)
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
가천문화재단
15 
시장(시립박물관)
10 
흥륜사
가천박물관
국가(기획재정부)
 
1
Other values (2)

Length

Max length17
Median length9
Mean length6.375
Min length3

Unique

Unique3 ?
Unique (%)7.5%

Sample

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

Common Values

ValueCountFrequency (%)
가천문화재단 15
37.5%
시장(시립박물관) 10
25.0%
흥륜사 9
22.5%
가천박물관 3
 
7.5%
국가(기획재정부) 1
 
2.5%
영일정씨 판결사공 승지공파 종중 1
 
2.5%
인천이씨대종회 1
 
2.5%

Length

2024-04-29T22:46:03.793586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:46:03.895681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가천문화재단 15
34.9%
시장(시립박물관 10
23.3%
흥륜사 9
20.9%
가천박물관 3
 
7.0%
국가(기획재정부 1
 
2.3%
영일정씨 1
 
2.3%
판결사공 1
 
2.3%
승지공파 1
 
2.3%
종중 1
 
2.3%
인천이씨대종회 1
 
2.3%

연락처
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
032-833-4747
18 
032-440-6750
10 
032-832-1133
<NA>
 
1
032-817-3842
 
1

Length

Max length12
Median length12
Mean length11.8
Min length4

Unique

Unique3 ?
Unique (%)7.5%

Sample

1st row032-833-4747
2nd row032-833-4747
3rd row032-833-4747
4th row032-833-4747
5th row032-833-4747

Common Values

ValueCountFrequency (%)
032-833-4747 18
45.0%
032-440-6750 10
25.0%
032-832-1133 9
22.5%
<NA> 1
 
2.5%
032-817-3842 1
 
2.5%
032-821-1230 1
 
2.5%

Length

2024-04-29T22:46:04.024961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:46:04.124602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-833-4747 18
45.0%
032-440-6750 10
25.0%
032-832-1133 9
22.5%
na 1
 
2.5%
032-817-3842 1
 
2.5%
032-821-1230 1
 
2.5%
Distinct17
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum1904-04-06 00:00:00
Maximum2020-03-02 00:00:00
2024-04-29T22:46:04.217201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:46:04.322096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

Interactions

2024-04-29T22:46:01.934569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-29T22:46:04.417418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정구분지정번호명칭소재지소유자(관리자)연락처지정일자
지정1.0001.0001.0001.0000.7641.0000.7011.000
구분1.0001.0000.9441.0000.6880.7470.8740.868
지정번호1.0000.9441.0001.0000.3010.4920.6570.934
명칭1.0001.0001.0001.0001.0001.0001.0001.000
소재지0.7640.6880.3011.0001.0000.9961.0000.911
소유자(관리자)1.0000.7470.4921.0000.9961.0001.0000.911
연락처0.7010.8740.6571.0001.0001.0001.0000.930
지정일자1.0000.8680.9341.0000.9110.9110.9301.000
2024-04-29T22:46:04.517484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분연락처소재지소유자(관리자)지정
구분1.0000.5200.5160.5870.960
연락처0.5201.0000.9850.9850.800
소재지0.5160.9851.0000.8960.771
소유자(관리자)0.5870.9850.8961.0000.932
지정0.9600.8000.7710.9321.000
2024-04-29T22:46:04.611707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호지정구분소재지소유자(관리자)연락처
지정번호1.0000.9600.6650.1810.3270.293
지정0.9601.0000.9600.7710.9320.800
구분0.6650.9601.0000.5160.5870.520
소재지0.1810.7710.5161.0000.8960.985
소유자(관리자)0.3270.9320.5870.8961.0000.985
연락처0.2930.8000.5200.9850.9851.000

Missing values

2024-04-29T22:46:02.038412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-29T22:46:02.137191image/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

지정구분지정번호명칭소재지소유자(관리자)연락처지정일자
0국가국보276초조본 유가사지론 권53인천광역시 연수구 청량로102번길 40-9 가천박물관가천문화재단032-833-47471993-04-27
1국가보물1154대방광불화엄경 정원본 권31인천광역시 연수구 청량로102번길 40-9 가천박물관가천문화재단032-833-47471993-04-27
2국가보물1155재조본 경률이상 권1인천광역시 연수구 청량로102번길 40-9 가천박물관가천문화재단032-833-47471993-04-27
3국가보물1178향약제생집성방 권6인천광역시 연수구 청량로102번길 40-9 가천박물관가천문화재단032-833-47471993-11-05
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