Overview

Dataset statistics

Number of variables5
Number of observations843
Missing cells21
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory40.2 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description2017년 10월 기준 경상남도 유형 문화재 현황입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15056110/fileData.do

Alerts

수량, 면적 has 15 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:45:16.794222
Analysis finished2023-12-12 08:45:18.029296
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Text

Distinct840
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-12T17:45:18.370574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.9169632
Min length1

Characters and Unicode

Total characters3302
Distinct characters13
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

Unique839 ?
Unique (%)99.5%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
108 4
 
0.5%
509-2 1
 
0.1%
503-5 1
 
0.1%
503-4 1
 
0.1%
502-6 1
 
0.1%
502-7 1
 
0.1%
502-8 1
 
0.1%
502-9 1
 
0.1%
502-10 1
 
0.1%
502-11 1
 
0.1%
Other values (830) 830
98.5%
2023-12-12T17:45:19.043121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 518
15.7%
4 400
12.1%
0 363
11.0%
1 326
9.9%
2 323
9.8%
- 293
8.9%
9 277
8.4%
3 271
8.2%
6 180
 
5.5%
7 165
 
5.0%
Other values (3) 186
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2985
90.4%
Dash Punctuation 293
 
8.9%
Other Letter 24
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 518
17.4%
4 400
13.4%
0 363
12.2%
1 326
10.9%
2 323
10.8%
9 277
9.3%
3 271
9.1%
6 180
 
6.0%
7 165
 
5.5%
8 162
 
5.4%
Other Letter
ValueCountFrequency (%)
제 12
50.0%
호 12
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3278
99.3%
Hangul 24
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 518
15.8%
4 400
12.2%
0 363
11.1%
1 326
9.9%
2 323
9.9%
- 293
8.9%
9 277
8.5%
3 271
8.3%
6 180
 
5.5%
7 165
 
5.0%
Hangul
ValueCountFrequency (%)
제 12
50.0%
호 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3278
99.3%
Hangul 24
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 518
15.8%
4 400
12.2%
0 363
11.1%
1 326
9.9%
2 323
9.9%
- 293
8.9%
9 277
8.5%
3 271
8.3%
6 180
 
5.5%
7 165
 
5.0%
Hangul
ValueCountFrequency (%)
제 12
50.0%
호 12
50.0%

명칭
Text

Distinct832
Distinct (%)99.0%
Missing3
Missing (%)0.4%
Memory size6.7 KiB
2023-12-12T17:45:19.495014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length21.67381
Min length4

Characters and Unicode

Total characters18206
Distinct characters1238
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique826 ?
Unique (%)98.3%

Sample

1st row金時敏將軍 戰功碑(김시민장군 전공비)
2nd row矗石 旌忠壇碑(촉석 정충단비)
3rd row雙忠事蹟碑(쌍충사적비)
4th row龍巖寺址 石佛(용암사지 석불)
5th row靑谷寺 三層石塔(청곡사 삼층석탑)
ValueCountFrequency (%)
및 79
 
2.5%
영정 71
 
2.3%
通度寺 47
 
1.5%
梁山 46
 
1.5%
통도사 25
 
0.8%
문집책판 24
 
0.8%
소장 24
 
0.8%
咸陽 20
 
0.6%
陜川 18
 
0.6%
진영 18
 
0.6%
Other values (2051) 2770
88.2%
2023-12-12T17:45:20.043947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2303
 
12.6%
( 873
 
4.8%
) 868
 
4.8%
사 362
 
2.0%
寺 248
 
1.4%
정 134
 
0.7%
영 133
 
0.7%
상 128
 
0.7%
당 113
 
0.6%
堂 112
 
0.6%
Other values (1228) 12932
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13877
76.2%
Space Separator 2303
 
12.6%
Open Punctuation 873
 
4.8%
Close Punctuation 868
 
4.8%
Decimal Number 149
 
0.8%
Letter Number 74
 
0.4%
Other Punctuation 52
 
0.3%
Math Symbol 8
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 362
 
2.6%
寺 248
 
1.8%
정 134
 
1.0%
영 133
 
1.0%
상 128
 
0.9%
당 113
 
0.8%
堂 112
 
0.8%
幀 109
 
0.8%
도 107
 
0.8%
산 102
 
0.7%
Other values (1203) 12329
88.8%
Decimal Number
ValueCountFrequency (%)
1 46
30.9%
2 22
14.8%
4 16
 
10.7%
7 14
 
9.4%
3 10
 
6.7%
0 10
 
6.7%
6 10
 
6.7%
9 9
 
6.0%
8 6
 
4.0%
5 6
 
4.0%
Other Punctuation
ValueCountFrequency (%)
· 17
32.7%
, 16
30.8%
: 15
28.8%
. 3
 
5.8%
： 1
 
1.9%
Letter Number
ValueCountFrequency (%)
Ⅰ 38
51.4%
Ⅱ 32
43.2%
Ⅳ 2
 
2.7%
Ⅲ 2
 
2.7%
Math Symbol
ValueCountFrequency (%)
~ 4
50.0%
～ 4
50.0%
Space Separator
ValueCountFrequency (%)
2303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 873
100.0%
Close Punctuation
ValueCountFrequency (%)
) 868
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6983
38.4%
Han 6894
37.9%
Common 4255
23.4%
Latin 74
 
0.4%

Most frequent character per script

Han
ValueCountFrequency (%)
寺 248
 
3.6%
堂 112
 
1.6%
幀 109
 
1.6%
山 102
 
1.5%
像 98
 
1.4%
影 93
 
1.3%
石 84
 
1.2%
大 82
 
1.2%
造 78
 
1.1%
藏 73
 
1.1%
Other values (880) 5815
84.3%
Hangul
ValueCountFrequency (%)
사 362
 
5.2%
정 134
 
1.9%
영 133
 
1.9%
상 128
 
1.8%
당 113
 
1.6%
도 107
 
1.5%
산 102
 
1.5%
장 101
 
1.4%
석 98
 
1.4%
양 97
 
1.4%
Other values (313) 5608
80.3%
Common
ValueCountFrequency (%)
2303
54.1%
( 873
 
20.5%
) 868
 
20.4%
1 46
 
1.1%
2 22
 
0.5%
· 17
 
0.4%
4 16
 
0.4%
, 16
 
0.4%
: 15
 
0.4%
7 14
 
0.3%
Other values (11) 65
 
1.5%
Latin
ValueCountFrequency (%)
Ⅰ 38
51.4%
Ⅱ 32
43.2%
Ⅳ 2
 
2.7%
Ⅲ 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6983
38.4%
CJK 6645
36.5%
ASCII 4233
23.3%
CJK Compat Ideographs 249
 
1.4%
Number Forms 74
 
0.4%
None 22
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2303
54.4%
( 873
 
20.6%
) 868
 
20.5%
1 46
 
1.1%
2 22
 
0.5%
4 16
 
0.4%
, 16
 
0.4%
: 15
 
0.4%
7 14
 
0.3%
3 10
 
0.2%
Other values (8) 50
 
1.2%
Hangul
ValueCountFrequency (%)
사 362
 
5.2%
정 134
 
1.9%
영 133
 
1.9%
상 128
 
1.8%
당 113
 
1.6%
도 107
 
1.5%
산 102
 
1.5%
장 101
 
1.4%
석 98
 
1.4%
양 97
 
1.4%
Other values (313) 5608
80.3%
CJK
ValueCountFrequency (%)
寺 248
 
3.7%
堂 112
 
1.7%
幀 109
 
1.6%
山 102
 
1.5%
像 98
 
1.5%
影 93
 
1.4%
石 84
 
1.3%
大 82
 
1.2%
造 78
 
1.2%
藏 73
 
1.1%
Other values (833) 5566
83.8%
CJK Compat Ideographs
ValueCountFrequency (%)
梁 49
19.7%
龍 26
 
10.4%
蓮 24
 
9.6%
金 22
 
8.8%
六 16
 
6.4%
立 15
 
6.0%
靈 11
 
4.4%
李 8
 
3.2%
樓 7
 
2.8%
禮 6
 
2.4%
Other values (37) 65
26.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 38
51.4%
Ⅱ 32
43.2%
Ⅳ 2
 
2.7%
Ⅲ 2
 
2.7%
None
ValueCountFrequency (%)
· 17
77.3%
～ 4
 
18.2%
： 1
 
4.5%

수량, 면적
Text

MISSING 

Distinct251
Distinct (%)30.3%
Missing15
Missing (%)1.8%
Memory size6.7 KiB
2023-12-12T17:45:20.422318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length2
Mean length3.1654589
Min length2

Characters and Unicode

Total characters2621
Distinct characters86
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

Unique213 ?
Unique (%)25.7%

Sample

1st row1기
2nd row1기
3rd row1기
4th row1구
5th row1기
ValueCountFrequency (%)
1첩 135
14.5%
1점 119
 
12.7%
1책 77
 
8.2%
1구 70
 
7.5%
1기 60
 
6.4%
1동 58
 
6.2%
1폭 39
 
4.2%
1곽 19
 
2.0%
3구 13
 
1.4%
1권1책 7
 
0.7%
Other values (273) 337
36.1%
2023-12-12T17:45:20.969939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 746
28.5%
점 175
 
6.7%
첩 135
 
5.2%
책 119
 
4.5%
2 114
 
4.3%
, 113
 
4.3%
110
 
4.2%
구 104
 
4.0%
3 102
 
3.9%
동 78
 
3.0%
Other values (76) 825
31.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1291
49.3%
Other Letter 995
38.0%
Other Punctuation 136
 
5.2%
Space Separator 110
 
4.2%
Other Symbol 55
 
2.1%
Open Punctuation 17
 
0.6%
Close Punctuation 17
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 175
17.6%
첩 135
13.6%
책 119
12.0%
구 104
10.5%
동 78
7.8%
기 76
7.6%
매 75
7.5%
폭 51
 
5.1%
권 35
 
3.5%
곽 20
 
2.0%
Other values (59) 127
12.8%
Decimal Number
ValueCountFrequency (%)
1 746
57.8%
2 114
 
8.8%
3 102
 
7.9%
4 66
 
5.1%
5 53
 
4.1%
8 50
 
3.9%
7 43
 
3.3%
9 42
 
3.3%
6 41
 
3.2%
0 34
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 113
83.1%
. 21
 
15.4%
: 2
 
1.5%
Space Separator
ValueCountFrequency (%)
110
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1626
62.0%
Hangul 995
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 175
17.6%
첩 135
13.6%
책 119
12.0%
구 104
10.5%
동 78
7.8%
기 76
7.6%
매 75
7.5%
폭 51
 
5.1%
권 35
 
3.5%
곽 20
 
2.0%
Other values (59) 127
12.8%
Common
ValueCountFrequency (%)
1 746
45.9%
2 114
 
7.0%
, 113
 
6.9%
110
 
6.8%
3 102
 
6.3%
4 66
 
4.1%
㎡ 55
 
3.4%
5 53
 
3.3%
8 50
 
3.1%
7 43
 
2.6%
Other values (7) 174
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1571
59.9%
Hangul 995
38.0%
CJK Compat 55
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 746
47.5%
2 114
 
7.3%
, 113
 
7.2%
110
 
7.0%
3 102
 
6.5%
4 66
 
4.2%
5 53
 
3.4%
8 50
 
3.2%
7 43
 
2.7%
9 42
 
2.7%
Other values (6) 132
 
8.4%
Hangul
ValueCountFrequency (%)
점 175
17.6%
첩 135
13.6%
책 119
12.0%
구 104
10.5%
동 78
7.8%
기 76
7.6%
매 75
7.5%
폭 51
 
5.1%
권 35
 
3.5%
곽 20
 
2.0%
Other values (59) 127
12.8%
CJK Compat
ValueCountFrequency (%)
㎡ 55
100.0%

소재지
Categorical

Distinct23
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
창원시
189 
양산시
160 
진주시
75 
합천군
60 
밀양시
53 
Other values (18)
306 

Length

Max length4
Median length3
Mean length2.9976275
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 189
22.4%
양산시 160
19.0%
진주시 75
 
8.9%
합천군 60
 
7.1%
밀양시 53
 
6.3%
함양군 37
 
4.4%
하동군 34
 
4.0%
김해시 31
 
3.7%
창녕군 30
 
3.6%
산청군 26
 
3.1%
Other values (13) 148
17.6%

Length

2023-12-12T17:45:21.127305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 189
22.4%
양산시 161
19.1%
진주시 75
 
8.9%
합천군 60
 
7.1%
밀양시 53
 
6.3%
함양군 37
 
4.4%
하동군 34
 
4.0%
김해시 31
 
3.7%
창녕군 30
 
3.6%
산청군 26
 
3.1%
Other values (12) 147
17.4%

지정일
Date

Distinct91
Distinct (%)10.8%
Missing3
Missing (%)0.4%
Memory size6.7 KiB
Minimum1972-02-12 00:00:00
Maximum2017-07-20 00:00:00
2023-12-12T17:45:21.257773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:45:21.433856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T17:45:21.547475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지지정일
소재지1.0000.926
지정일0.9261.000

Missing values

2023-12-12T17:45:17.699814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:45:17.834905image/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.
2023-12-12T17:45:17.958525image/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

지정번호명칭수량, 면적소재지지정일
01金時敏將軍 戰功碑(김시민장군 전공비)1기진주시1972-02-12
12矗石 旌忠壇碑(촉석 정충단비)1기진주시1972-02-12
23雙忠事蹟碑(쌍충사적비)1기진주시1972-02-12
34龍巖寺址 石佛(용암사지 석불)1구진주시1972-02-12
45靑谷寺 三層石塔(청곡사 삼층석탑)1기진주시1972-02-12
56中橋里 石造如來坐像(중교리 석조여래좌상)1구의령군1972-02-12
67長春寺 石造如來坐像(장춘사 석조여래좌상)1좌함안군1972-02-12
78咸安 主吏寺址 獅子石塔(함안 주리사지 사자석탑)1기함안군1972-02-12
89靈山 九溪里石造如來坐像(영산 구계리 석조여래좌상)1구창녕군1972-02-12
910兎川 三層石塔(퇴천 삼층석탑)1기창녕군1972-02-12
지정번호명칭수량, 면적소재지지정일
833607金海 如如精舍 佛設預修十王生七經(김해 여여정사 불설예수시왕생칠경)1권 1책김해시2017-01-05
834608金海 妙蓮寺 三經合部(김해 묘련사 삼경합부)3권 1책김해시2017-04-13
835609山淸韓醫學博物館 鄕藥集成方 卷4951(산청한의학박물관 향약집성방 권4951)3권 1책산청군2017-04-13
836610山淸韓醫學博物館 鄕藥集成方 卷4042(산청한의학박물관 향약집성방 권4042)3권 1책산청군2017-04-13
837611昌原鄕校 鄕案 및 古文書 一括(창원향교 향안 및 고문서 일괄)향안 3종고문서 107점창원시2017-04-13
838612晉州 義谷寺 佛說長壽滅罪護諸童子陀羅尼經(진주 의곡사 불설장수멸죄호제동자다라니경)단권1책진주시2017-07-20
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