Overview

Dataset statistics

Number of variables8
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory66.6 B

Variable types

Categorical1
Numeric1
Text5
DateTime1

Dataset

Description경상남도 창녕군 도지정문화재현황에 대한 데이터를 포함하고 있습니다.(문화재명, 규모, 소재지, 관리단체 관리의무자 등)
Author경상남도 창녕군
URLhttps://www.data.go.kr/data/15055264/fileData.do

Alerts

문화재명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:09:10.798664
Analysis finished2023-12-12 20:09:12.077827
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종별
Categorical

Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
도문
44 
도유
26 
도기
11 
도민
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
도문 44
53.7%
도유 26
31.7%
도기 11
 
13.4%
도민 1
 
1.2%

Length

2023-12-13T05:09:12.172375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:09:12.294908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도문 44
53.7%
도유 26
31.7%
도기 11
 
13.4%
도민 1
 
1.2%

지정번호
Real number (ℝ)

Distinct77
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.45122
Minimum2
Maximum576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T05:09:12.460420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11.3
Q174
median246
Q3363.25
95-th percentile559.65
Maximum576
Range574
Interquartile range (IQR)289.25

Descriptive statistics

Standard deviation167.10263
Coefficient of variation (CV)0.71579248
Kurtosis-0.87856524
Mean233.45122
Median Absolute Deviation (MAD)133.5
Skewness0.31507456
Sum19143
Variance27923.288
MonotonicityNot monotonic
2023-12-13T05:09:12.620111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
246 2
 
2.4%
576 2
 
2.4%
69 2
 
2.4%
183 2
 
2.4%
250 2
 
2.4%
9 1
 
1.2%
236 1
 
1.2%
218 1
 
1.2%
140 1
 
1.2%
109 1
 
1.2%
Other values (67) 67
81.7%
ValueCountFrequency (%)
2 1
1.2%
6 1
1.2%
9 1
1.2%
10 1
1.2%
11 1
1.2%
17 1
1.2%
18 1
1.2%
19 1
1.2%
20 1
1.2%
21 1
1.2%
ValueCountFrequency (%)
576 2
2.4%
566 1
1.2%
565 1
1.2%
561 1
1.2%
534 1
1.2%
489 1
1.2%
464 1
1.2%
463 1
1.2%
437 1
1.2%
432 1
1.2%

문화재명
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T05:09:12.929068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length29
Mean length12.914634
Min length5

Characters and Unicode

Total characters1059
Distinct characters191
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

Unique82 ?
Unique (%)100.0%

Sample

1st row창녕 구계리 석조여래좌상
2nd row창녕 퇴천리 삼층석탑
3rd row창녕 관룡사 약사전 삼층석탑
4th row창녕 감리 마애여래입상
5th row창녕 법화사 다층석탑
ValueCountFrequency (%)
창녕 72
25.9%
목판 7
 
2.5%
관룡사 6
 
2.2%
1매 6
 
2.2%
묘 5
 
1.8%
동산서당 4
 
1.4%
삼층석탑 4
 
1.4%
관음사 3
 
1.1%
청련사 3
 
1.1%
이장곤 3
 
1.1%
Other values (150) 165
59.4%
2023-12-13T05:09:13.438099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
18.5%
창 78
 
7.4%
녕 78
 
7.4%
사 29
 
2.7%
산 20
 
1.9%
, 19
 
1.8%
매 18
 
1.7%
석 17
 
1.6%
성 17
 
1.6%
상 15
 
1.4%
Other values (181) 572
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
76.4%
Space Separator 196
 
18.5%
Decimal Number 29
 
2.7%
Other Punctuation 19
 
1.8%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 78
 
9.6%
녕 78
 
9.6%
사 29
 
3.6%
산 20
 
2.5%
매 18
 
2.2%
석 17
 
2.1%
성 17
 
2.1%
상 15
 
1.9%
서 15
 
1.9%
당 14
 
1.7%
Other values (167) 508
62.8%
Decimal Number
ValueCountFrequency (%)
1 9
31.0%
2 6
20.7%
3 3
 
10.3%
4 3
 
10.3%
8 2
 
6.9%
5 2
 
6.9%
9 1
 
3.4%
6 1
 
3.4%
0 1
 
3.4%
7 1
 
3.4%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 809
76.4%
Common 250
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 78
 
9.6%
녕 78
 
9.6%
사 29
 
3.6%
산 20
 
2.5%
매 18
 
2.2%
석 17
 
2.1%
성 17
 
2.1%
상 15
 
1.9%
서 15
 
1.9%
당 14
 
1.7%
Other values (167) 508
62.8%
Common
ValueCountFrequency (%)
196
78.4%
, 19
 
7.6%
1 9
 
3.6%
2 6
 
2.4%
3 3
 
1.2%
4 3
 
1.2%
( 3
 
1.2%
) 3
 
1.2%
8 2
 
0.8%
5 2
 
0.8%
Other values (4) 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 809
76.4%
ASCII 250
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
78.4%
, 19
 
7.6%
1 9
 
3.6%
2 6
 
2.4%
3 3
 
1.2%
4 3
 
1.2%
( 3
 
1.2%
) 3
 
1.2%
8 2
 
0.8%
5 2
 
0.8%
Other values (4) 4
 
1.6%
Hangul
ValueCountFrequency (%)
창 78
 
9.6%
녕 78
 
9.6%
사 29
 
3.6%
산 20
 
2.5%
매 18
 
2.2%
석 17
 
2.1%
성 17
 
2.1%
상 15
 
1.9%
서 15
 
1.9%
당 14
 
1.7%
Other values (167) 508
62.8%

규모(수량)
Text

Distinct46
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T05:09:13.676886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length2
Mean length4.1829268
Min length2

Characters and Unicode

Total characters343
Distinct characters41
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

Unique37 ?
Unique (%)45.1%

Sample

1st row1좌
2nd row1기
3rd row1기
4th row1구
5th row1기
ValueCountFrequency (%)
1기 18
20.5%
일원 6
 
6.8%
1동 6
 
6.8%
1구 4
 
4.5%
2기 4
 
4.5%
1책 3
 
3.4%
1폭 2
 
2.3%
1점 2
 
2.3%
2동 2
 
2.3%
건물1동,비각1동,영정1점 1
 
1.1%
Other values (40) 40
45.5%
2023-12-13T05:09:14.409158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 65
19.0%
기 30
 
8.7%
2 23
 
6.7%
) 18
 
5.2%
( 18
 
5.2%
㎡ 16
 
4.7%
동 15
 
4.4%
3 13
 
3.8%
, 12
 
3.5%
5 11
 
3.2%
Other values (31) 122
35.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
46.1%
Other Letter 114
33.2%
Close Punctuation 18
 
5.2%
Open Punctuation 18
 
5.2%
Other Symbol 16
 
4.7%
Other Punctuation 13
 
3.8%
Space Separator 6
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 30
26.3%
동 15
13.2%
일 11
 
9.6%
원 11
 
9.6%
매 7
 
6.1%
구 6
 
5.3%
책 4
 
3.5%
점 4
 
3.5%
권 3
 
2.6%
곽 3
 
2.6%
Other values (15) 20
17.5%
Decimal Number
ValueCountFrequency (%)
1 65
41.1%
2 23
 
14.6%
3 13
 
8.2%
5 11
 
7.0%
4 10
 
6.3%
8 10
 
6.3%
0 7
 
4.4%
9 7
 
4.4%
7 6
 
3.8%
6 6
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
. 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 16
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 229
66.8%
Hangul 114
33.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 30
26.3%
동 15
13.2%
일 11
 
9.6%
원 11
 
9.6%
매 7
 
6.1%
구 6
 
5.3%
책 4
 
3.5%
점 4
 
3.5%
권 3
 
2.6%
곽 3
 
2.6%
Other values (15) 20
17.5%
Common
ValueCountFrequency (%)
1 65
28.4%
2 23
 
10.0%
) 18
 
7.9%
( 18
 
7.9%
㎡ 16
 
7.0%
3 13
 
5.7%
, 12
 
5.2%
5 11
 
4.8%
4 10
 
4.4%
8 10
 
4.4%
Other values (6) 33
14.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
62.1%
Hangul 114
33.2%
CJK Compat 16
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 65
30.5%
2 23
 
10.8%
) 18
 
8.5%
( 18
 
8.5%
3 13
 
6.1%
, 12
 
5.6%
5 11
 
5.2%
4 10
 
4.7%
8 10
 
4.7%
0 7
 
3.3%
Other values (5) 26
 
12.2%
Hangul
ValueCountFrequency (%)
기 30
26.3%
동 15
13.2%
일 11
 
9.6%
원 11
 
9.6%
매 7
 
6.1%
구 6
 
5.3%
책 4
 
3.5%
점 4
 
3.5%
권 3
 
2.6%
곽 3
 
2.6%
Other values (15) 20
17.5%
CJK Compat
ValueCountFrequency (%)
㎡ 16
100.0%

소유자
Text

Distinct43
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T05:09:14.691687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length5.1707317
Min length2

Characters and Unicode

Total characters424
Distinct characters99
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

Unique30 ?
Unique (%)36.6%

Sample

1st row국유
2nd row국유
3rd row관룡사
4th row국유
5th row법화암
ValueCountFrequency (%)
국유 15
 
13.5%
문중 9
 
8.1%
관룡사 6
 
5.4%
창녕군 5
 
4.5%
창녕성씨 5
 
4.5%
청주양씨 4
 
3.6%
관음사 4
 
3.6%
창녕문중 4
 
3.6%
광주노씨 4
 
3.6%
영산신씨 3
 
2.7%
Other values (43) 52
46.8%
2023-12-13T05:09:15.129882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
6.8%
씨 25
 
5.9%
중 23
 
5.4%
유 22
 
5.2%
사 22
 
5.2%
국 19
 
4.5%
창 17
 
4.0%
녕 17
 
4.0%
문 17
 
4.0%
종 12
 
2.8%
Other values (89) 221
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
89.6%
Space Separator 29
 
6.8%
Decimal Number 6
 
1.4%
Other Punctuation 5
 
1.2%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
씨 25
 
6.6%
중 23
 
6.1%
유 22
 
5.8%
사 22
 
5.8%
국 19
 
5.0%
창 17
 
4.5%
녕 17
 
4.5%
문 17
 
4.5%
종 12
 
3.2%
주 11
 
2.9%
Other values (79) 195
51.3%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
2 2
33.3%
8 1
16.7%
6 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 3
60.0%
. 1
 
20.0%
: 1
 
20.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
89.6%
Common 44
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
씨 25
 
6.6%
중 23
 
6.1%
유 22
 
5.8%
사 22
 
5.8%
국 19
 
5.0%
창 17
 
4.5%
녕 17
 
4.5%
문 17
 
4.5%
종 12
 
3.2%
주 11
 
2.9%
Other values (79) 195
51.3%
Common
ValueCountFrequency (%)
29
65.9%
· 3
 
6.8%
0 2
 
4.5%
) 2
 
4.5%
2 2
 
4.5%
( 2
 
4.5%
. 1
 
2.3%
8 1
 
2.3%
: 1
 
2.3%
6 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
89.6%
ASCII 41
 
9.7%
None 3
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
70.7%
0 2
 
4.9%
) 2
 
4.9%
2 2
 
4.9%
( 2
 
4.9%
. 1
 
2.4%
8 1
 
2.4%
: 1
 
2.4%
6 1
 
2.4%
Hangul
ValueCountFrequency (%)
씨 25
 
6.6%
중 23
 
6.1%
유 22
 
5.8%
사 22
 
5.8%
국 19
 
5.0%
창 17
 
4.5%
녕 17
 
4.5%
문 17
 
4.5%
종 12
 
3.2%
주 11
 
2.9%
Other values (79) 195
51.3%
None
ValueCountFrequency (%)
· 3
100.0%

소재지
Text

Distinct66
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T05:09:15.511112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length25
Mean length21.195122
Min length12

Characters and Unicode

Total characters1738
Distinct characters95
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

Unique60 ?
Unique (%)73.2%

Sample

1st row경상남도 창녕군 영산면 구계리 1264-4
2nd row경상남도 창녕군 창녕읍 교상리 28-23
3rd row경상남도 창녕군 창녕읍 화왕산관룡사길 171
4th row경상남도 창녕군 고암면 감리 산64
5th row경상남도 창녕군 영산면 적지길 184
ValueCountFrequency (%)
경상남도 82
19.8%
창녕군 81
19.5%
창녕읍 24
 
5.8%
영산면 10
 
2.4%
창밀로 9
 
2.2%
34 8
 
1.9%
계성면 7
 
1.7%
도천면 6
 
1.4%
고암면 6
 
1.4%
이방면 6
 
1.4%
Other values (119) 176
42.4%
2023-12-13T05:09:15.997897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
19.2%
창 114
 
6.6%
녕 106
 
6.1%
도 94
 
5.4%
상 87
 
5.0%
남 84
 
4.8%
경 82
 
4.7%
군 81
 
4.7%
1 58
 
3.3%
면 56
 
3.2%
Other values (85) 643
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1130
65.0%
Space Separator 333
 
19.2%
Decimal Number 239
 
13.8%
Dash Punctuation 35
 
2.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 114
 
10.1%
녕 106
 
9.4%
도 94
 
8.3%
상 87
 
7.7%
남 84
 
7.4%
경 82
 
7.3%
군 81
 
7.2%
면 56
 
5.0%
산 49
 
4.3%
리 37
 
3.3%
Other values (72) 340
30.1%
Decimal Number
ValueCountFrequency (%)
1 58
24.3%
3 32
13.4%
4 31
13.0%
2 31
13.0%
5 21
 
8.8%
6 20
 
8.4%
9 17
 
7.1%
7 15
 
6.3%
8 8
 
3.3%
0 6
 
2.5%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1130
65.0%
Common 608
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 114
 
10.1%
녕 106
 
9.4%
도 94
 
8.3%
상 87
 
7.7%
남 84
 
7.4%
경 82
 
7.3%
군 81
 
7.2%
면 56
 
5.0%
산 49
 
4.3%
리 37
 
3.3%
Other values (72) 340
30.1%
Common
ValueCountFrequency (%)
333
54.8%
1 58
 
9.5%
- 35
 
5.8%
3 32
 
5.3%
4 31
 
5.1%
2 31
 
5.1%
5 21
 
3.5%
6 20
 
3.3%
9 17
 
2.8%
7 15
 
2.5%
Other values (3) 15
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1130
65.0%
ASCII 608
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
54.8%
1 58
 
9.5%
- 35
 
5.8%
3 32
 
5.3%
4 31
 
5.1%
2 31
 
5.1%
5 21
 
3.5%
6 20
 
3.3%
9 17
 
2.8%
7 15
 
2.5%
Other values (3) 15
 
2.5%
Hangul
ValueCountFrequency (%)
창 114
 
10.1%
녕 106
 
9.4%
도 94
 
8.3%
상 87
 
7.7%
남 84
 
7.4%
경 82
 
7.3%
군 81
 
7.2%
면 56
 
5.0%
산 49
 
4.3%
리 37
 
3.3%
Other values (72) 340
30.1%

지정일
Date

Distinct39
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum1972-02-12 00:00:00
Maximum2020-07-30 00:00:00
2023-12-13T05:09:16.147588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:09:16.311049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

관리단체 관리의무자
Text

Distinct45
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-13T05:09:16.543835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length5.5609756
Min length3

Characters and Unicode

Total characters456
Distinct characters101
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

Unique37 ?
Unique (%)45.1%

Sample

1st row창녕군
2nd row창녕군
3rd row관룡사
4th row창녕군
5th row법화암
ValueCountFrequency (%)
창녕군 22
20.4%
문중 7
 
6.5%
창녕군(창녕박물관 5
 
4.6%
관룡사 5
 
4.6%
관음사 4
 
3.7%
창녕성씨 4
 
3.7%
광주노씨 3
 
2.8%
창녕문중 3
 
2.8%
영산신씨 3
 
2.8%
청주양씨 3
 
2.8%
Other values (46) 49
45.4%
2023-12-13T05:09:16.964367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
창 44
 
9.6%
녕 44
 
9.6%
군 27
 
5.9%
26
 
5.7%
씨 22
 
4.8%
중 18
 
3.9%
사 17
 
3.7%
관 14
 
3.1%
문 13
 
2.9%
종 10
 
2.2%
Other values (91) 221
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 406
89.0%
Space Separator 26
 
5.7%
Decimal Number 8
 
1.8%
Close Punctuation 7
 
1.5%
Open Punctuation 7
 
1.5%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 44
 
10.8%
녕 44
 
10.8%
군 27
 
6.7%
씨 22
 
5.4%
중 18
 
4.4%
사 17
 
4.2%
관 14
 
3.4%
문 13
 
3.2%
종 10
 
2.5%
성 9
 
2.2%
Other values (83) 188
46.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
0 2
25.0%
7 2
25.0%
5 1
 
12.5%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
89.0%
Common 50
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 44
 
10.8%
녕 44
 
10.8%
군 27
 
6.7%
씨 22
 
5.4%
중 18
 
4.4%
사 17
 
4.2%
관 14
 
3.4%
문 13
 
3.2%
종 10
 
2.5%
성 9
 
2.2%
Other values (83) 188
46.3%
Common
ValueCountFrequency (%)
26
52.0%
) 7
 
14.0%
( 7
 
14.0%
2 3
 
6.0%
0 2
 
4.0%
. 2
 
4.0%
7 2
 
4.0%
5 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 406
89.0%
ASCII 50
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
창 44
 
10.8%
녕 44
 
10.8%
군 27
 
6.7%
씨 22
 
5.4%
중 18
 
4.4%
사 17
 
4.2%
관 14
 
3.4%
문 13
 
3.2%
종 10
 
2.5%
성 9
 
2.2%
Other values (83) 188
46.3%
ASCII
ValueCountFrequency (%)
26
52.0%
) 7
 
14.0%
( 7
 
14.0%
2 3
 
6.0%
0 2
 
4.0%
. 2
 
4.0%
7 2
 
4.0%
5 1
 
2.0%

Interactions

2023-12-13T05:09:11.667499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:09:17.087471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별지정번호문화재명규모(수량)소유자소재지지정일관리단체 관리의무자
종별1.0000.3421.0000.2270.0000.9670.2210.000
지정번호0.3421.0001.0000.7670.8930.0870.9490.812
문화재명1.0001.0001.0001.0001.0001.0001.0001.000
규모(수량)0.2270.7671.0001.0000.9130.0000.9570.000
소유자0.0000.8931.0000.9131.0000.9750.9790.996
소재지0.9670.0871.0000.0000.9751.0000.8990.995
지정일0.2210.9491.0000.9570.9790.8991.0000.971
관리단체 관리의무자0.0000.8121.0000.0000.9960.9950.9711.000
2023-12-13T05:09:17.235341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호종별
지정번호1.0000.199
종별0.1991.000

Missing values

2023-12-13T05:09:11.826336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:09:12.012287image/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

종별지정번호문화재명규모(수량)소유자소재지지정일관리단체 관리의무자
0도유9창녕 구계리 석조여래좌상1좌국유경상남도 창녕군 영산면 구계리 1264-41972-02-12창녕군
1도유10창녕 퇴천리 삼층석탑1기국유경상남도 창녕군 창녕읍 교상리 28-231972-02-12창녕군
2도유11창녕 관룡사 약사전 삼층석탑1기관룡사경상남도 창녕군 창녕읍 화왕산관룡사길 1711972-02-12관룡사
3도유46창녕 감리 마애여래입상1구국유경상남도 창녕군 고암면 감리 산641972-02-12창녕군
4도유69창녕 법화사 다층석탑1기법화암경상남도 창녕군 영산면 적지길 1841972-02-12법화암
5도유116창녕 사리 석조광배1기국유경상남도 창녕군 계성면 사리 4461974-12-28이용태
6도유154청주양씨 세고목판151매청주양씨 문중경상남도 창녕군 창녕읍 창밀로 341976-12-20창녕군
7도유183창녕 관룡사 사적기12매관룡사경상남도 양산시 통도사1979-12-29통도사 (2005.7.27 기탁)
8도유212창녕 향교일원창녕군 향교재단경상남도 창녕군 창녕읍 향교길 541983-08-06창녕향교
9도유213영산 향교일원창녕군 향교재단경상남도 창녕군 영산면 유생길 191983-08-06영산향교
종별지정번호문화재명규모(수량)소유자소재지지정일관리단체 관리의무자
72도문368창녕 동산서당 한강연원록1권광주노씨 창녕문중경상남도 창녕군 이방면 이방로 565-52005-01-13광주노씨 창녕문중
73도문369창녕 동산서당 목판380매광주노씨 창녕문중경상남도 창녕군 창녕읍 창밀로 342005-01-13창녕군
74도문370창녕 동산서당 강당2동광주노씨 창녕문중경상남도 창녕군 이방면 이방로 565-52005-01-13광주노씨 창녕문중
75도문376창녕 소곡서당1동장연노씨 소곡재종친회경상남도 창녕군 고암면 우천길 1112005-07-21장연노씨 소곡재종친회
76도문389창녕 이장곤 묘도비1기벽진이씨 금호재종중경상남도 창녕군 대합면 대동리 산6번지2006-01-12벽진이씨 금호재종중
77도문420창녕 반곡고택4동(843㎡)노대식경상남도 창녕군 고암면 월미상월길 193-62007-03-15노대식
78도문432창녕 청련사 반자1점청련사경상남도 창녕군 창녕읍 계성면 청련사길 992008-01-10청련사
79도문489창녕박물관 소장 남평문씨 고문서(상서 12매, 소지 5매, 입안 1매, 관문 1매 , 하첩 1매, 교지 2매)22점문종석경상남도 창녕군 창녕읍 창밀로 342009-12-03창녕군
80도문534창녕 죽림재1동(94.3㎡)윤죽림경상남도 창녕군 성산면 대미길 23-622011-06-02윤죽림
81도문561창녕 관음사 아미타불회도1폭관음사 주지경상남도 창녕군 도천면 영산도천로 11-142013-01-03관음사 주지