Overview

Dataset statistics

Number of variables9
Number of observations534
Missing cells35
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.7 KiB
Average record size in memory72.2 B

Variable types

Categorical1
Text7
DateTime1

Dataset

Description충청북도에 소재하고 있는 도 지정문화재 현황(종목, 명칭, 명칭(한자), 소재지, 관리자(단체), 소유자, 지정일, 지정규모)입니다.
URLhttps://www.data.go.kr/data/15029391/fileData.do

Alerts

지정규모 has 27 (5.1%) missing valuesMissing
종목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:57:45.532477
Analysis finished2023-12-12 02:57:47.173804
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
유형문화재
349 
기념물
138 
무형문화재
 
27
민속문화재
 
20

Length

Max length5
Median length5
Mean length4.4831461
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 349
65.4%
기념물 138
 
25.8%
무형문화재 27
 
5.1%
민속문화재 20
 
3.7%

Length

2023-12-12T11:57:47.321468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:57:47.530768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 349
65.4%
기념물 138
 
25.8%
무형문화재 27
 
5.1%
민속문화재 20
 
3.7%

종목
Text

UNIQUE 

Distinct534
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T11:57:47.924477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length16.035581
Min length13

Characters and Unicode

Total characters8563
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)100.0%

Sample

1st row충청북도 유형문화재 제6호
2nd row충청북도 유형문화재 제8호
3rd row충청북도 유형문화재 제9호
4th row충청북도 유형문화재 제11호
5th row충청북도 유형문화재 제15호
ValueCountFrequency (%)
충청북도 534
33.3%
유형문화재 349
21.8%
기념물 138
 
8.6%
무형문화재 27
 
1.7%
민속문화재 20
 
1.2%
제15호 4
 
0.2%
제17호 4
 
0.2%
제18호 4
 
0.2%
제19호 4
 
0.2%
제20호 4
 
0.2%
Other values (377) 514
32.1%
2023-12-12T11:57:48.494308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1559
18.2%
충 534
 
6.2%
청 534
 
6.2%
호 534
 
6.2%
제 534
 
6.2%
도 534
 
6.2%
북 534
 
6.2%
문 396
 
4.6%
화 396
 
4.6%
재 396
 
4.6%
Other values (19) 2612
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5598
65.4%
Space Separator 1559
 
18.2%
Decimal Number 1399
 
16.3%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 534
9.5%
청 534
9.5%
호 534
9.5%
제 534
9.5%
도 534
9.5%
북 534
9.5%
문 396
7.1%
화 396
7.1%
재 396
7.1%
형 376
6.7%
Other values (7) 830
14.8%
Decimal Number
ValueCountFrequency (%)
1 280
20.0%
3 202
14.4%
2 195
13.9%
4 121
8.6%
6 107
 
7.6%
5 104
 
7.4%
9 101
 
7.2%
0 97
 
6.9%
8 96
 
6.9%
7 96
 
6.9%
Space Separator
ValueCountFrequency (%)
1559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5598
65.4%
Common 2965
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 534
9.5%
청 534
9.5%
호 534
9.5%
제 534
9.5%
도 534
9.5%
북 534
9.5%
문 396
7.1%
화 396
7.1%
재 396
7.1%
형 376
6.7%
Other values (7) 830
14.8%
Common
ValueCountFrequency (%)
1559
52.6%
1 280
 
9.4%
3 202
 
6.8%
2 195
 
6.6%
4 121
 
4.1%
6 107
 
3.6%
5 104
 
3.5%
9 101
 
3.4%
0 97
 
3.3%
8 96
 
3.2%
Other values (2) 103
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5598
65.4%
ASCII 2965
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1559
52.6%
1 280
 
9.4%
3 202
 
6.8%
2 195
 
6.6%
4 121
 
4.1%
6 107
 
3.6%
5 104
 
3.5%
9 101
 
3.4%
0 97
 
3.3%
8 96
 
3.2%
Other values (2) 103
 
3.5%
Hangul
ValueCountFrequency (%)
충 534
9.5%
청 534
9.5%
호 534
9.5%
제 534
9.5%
도 534
9.5%
북 534
9.5%
문 396
7.1%
화 396
7.1%
재 396
7.1%
형 376
6.7%
Other values (7) 830
14.8%

명칭
Text

Distinct515
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T11:57:48.952475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length24
Mean length9.7659176
Min length2

Characters and Unicode

Total characters5215
Distinct characters328
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique507 ?
Unique (%)94.9%

Sample

1st row충주 경종 태실
2nd row충주 창동리 오층석탑
3rd row음성 읍내리 오층모전석탑
4th row보은 순조 태실
5th row청주 충청도병마절도사영문
ValueCountFrequency (%)
청주 70
 
5.2%
충주 45
 
3.3%
보은 45
 
3.3%
제천 42
 
3.1%
영동 35
 
2.6%
묘소 34
 
2.5%
괴산 34
 
2.5%
및 29
 
2.1%
진천 25
 
1.8%
옥천 23
 
1.7%
Other values (661) 974
71.8%
2023-12-12T11:57:49.658154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
823
 
15.8%
주 158
 
3.0%
사 135
 
2.6%
천 106
 
2.0%
청 99
 
1.9%
보 94
 
1.8%
상 91
 
1.7%
산 78
 
1.5%
리 72
 
1.4%
동 72
 
1.4%
Other values (318) 3487
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4237
81.2%
Space Separator 823
 
15.8%
Decimal Number 111
 
2.1%
Math Symbol 24
 
0.5%
Other Punctuation 16
 
0.3%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 158
 
3.7%
사 135
 
3.2%
천 106
 
2.5%
청 99
 
2.3%
보 94
 
2.2%
상 91
 
2.1%
산 78
 
1.8%
리 72
 
1.7%
동 72
 
1.7%
석 69
 
1.6%
Other values (300) 3263
77.0%
Decimal Number
ValueCountFrequency (%)
1 22
19.8%
7 18
16.2%
2 18
16.2%
4 15
13.5%
3 9
8.1%
5 8
 
7.2%
6 8
 
7.2%
0 5
 
4.5%
8 5
 
4.5%
9 3
 
2.7%
Math Symbol
ValueCountFrequency (%)
~ 15
62.5%
∼ 6
 
25.0%
～ 3
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 14
87.5%
· 2
 
12.5%
Space Separator
ValueCountFrequency (%)
823
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4237
81.2%
Common 978
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 158
 
3.7%
사 135
 
3.2%
천 106
 
2.5%
청 99
 
2.3%
보 94
 
2.2%
상 91
 
2.1%
산 78
 
1.8%
리 72
 
1.7%
동 72
 
1.7%
석 69
 
1.6%
Other values (300) 3263
77.0%
Common
ValueCountFrequency (%)
823
84.2%
1 22
 
2.2%
7 18
 
1.8%
2 18
 
1.8%
~ 15
 
1.5%
4 15
 
1.5%
, 14
 
1.4%
3 9
 
0.9%
5 8
 
0.8%
6 8
 
0.8%
Other values (8) 28
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4234
81.2%
ASCII 967
 
18.5%
Math Operators 6
 
0.1%
None 5
 
0.1%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
823
85.1%
1 22
 
2.3%
7 18
 
1.9%
2 18
 
1.9%
~ 15
 
1.6%
4 15
 
1.6%
, 14
 
1.4%
3 9
 
0.9%
5 8
 
0.8%
6 8
 
0.8%
Other values (5) 17
 
1.8%
Hangul
ValueCountFrequency (%)
주 158
 
3.7%
사 135
 
3.2%
천 106
 
2.5%
청 99
 
2.3%
보 94
 
2.2%
상 91
 
2.1%
산 78
 
1.8%
리 72
 
1.7%
동 72
 
1.7%
석 69
 
1.6%
Other values (299) 3260
77.0%
Math Operators
ValueCountFrequency (%)
∼ 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
None
ValueCountFrequency (%)
～ 3
60.0%
· 2
40.0%

명칭(한자)
Text

Distinct520
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T11:57:50.052121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length24
Mean length9.840824
Min length2

Characters and Unicode

Total characters5255
Distinct characters789
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique512 ?
Unique (%)95.9%

Sample

1st row忠州 景宗 胎室
2nd row忠州 創洞里 五層石塔
3rd row陰城 邑內里 五層模塼石塔
4th row報恩 純祖 胎室
5th row淸州 忠淸道兵馬節度使營門
ValueCountFrequency (%)
忠州 45
 
3.3%
報恩 45
 
3.3%
淸州 45
 
3.3%
堤川 42
 
3.1%
墓所 35
 
2.6%
永同 34
 
2.5%
槐山 34
 
2.5%
및 29
 
2.1%
鎭川 25
 
1.8%
淸原 25
 
1.8%
Other values (680) 1011
73.8%
2023-12-12T11:57:50.885713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
860
 
16.4%
州 98
 
1.9%
川 94
 
1.8%
淸 88
 
1.7%
寺 82
 
1.6%
山 78
 
1.5%
石 72
 
1.4%
像 69
 
1.3%
里 63
 
1.2%
忠 59
 
1.1%
Other values (779) 3692
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4345
82.7%
Space Separator 862
 
16.4%
Math Symbol 24
 
0.5%
Other Punctuation 15
 
0.3%
Open Punctuation 5
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
州 98
 
2.3%
川 94
 
2.2%
淸 88
 
2.0%
寺 82
 
1.9%
山 78
 
1.8%
石 72
 
1.7%
像 69
 
1.6%
里 63
 
1.4%
忠 59
 
1.4%
恩 56
 
1.3%
Other values (768) 3586
82.5%
Math Symbol
ValueCountFrequency (%)
~ 16
66.7%
∼ 6
 
25.0%
～ 2
 
8.3%
Space Separator
ValueCountFrequency (%)
860
99.8%
　 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 13
86.7%
· 2
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 4
80.0%
[ 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 3
75.0%
] 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Han 4291
81.7%
Common 910
 
17.3%
Hangul 54
 
1.0%

Most frequent character per script

Han
ValueCountFrequency (%)
州 98
 
2.3%
川 94
 
2.2%
淸 88
 
2.1%
寺 82
 
1.9%
山 78
 
1.8%
石 72
 
1.7%
像 69
 
1.6%
里 63
 
1.5%
忠 59
 
1.4%
恩 56
 
1.3%
Other values (746) 3532
82.3%
Hangul
ValueCountFrequency (%)
및 29
53.7%
굴 2
 
3.7%
낭 2
 
3.7%
나 2
 
3.7%
무 2
 
3.7%
주 1
 
1.9%
음 1
 
1.9%
감 1
 
1.9%
모 1
 
1.9%
루 1
 
1.9%
Other values (12) 12
22.2%
Common
ValueCountFrequency (%)
860
94.5%
~ 16
 
1.8%
, 13
 
1.4%
∼ 6
 
0.7%
( 4
 
0.4%
) 3
 
0.3%
· 2
 
0.2%
～ 2
 
0.2%
　 2
 
0.2%
[ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
CJK 4159
79.1%
ASCII 898
 
17.1%
CJK Compat Ideographs 132
 
2.5%
Hangul 54
 
1.0%
Math Operators 6
 
0.1%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
860
95.8%
~ 16
 
1.8%
, 13
 
1.4%
( 4
 
0.4%
) 3
 
0.3%
[ 1
 
0.1%
] 1
 
0.1%
CJK
ValueCountFrequency (%)
州 98
 
2.4%
川 94
 
2.3%
淸 88
 
2.1%
寺 82
 
2.0%
山 78
 
1.9%
石 72
 
1.7%
像 69
 
1.7%
里 63
 
1.5%
忠 59
 
1.4%
恩 56
 
1.3%
Other values (711) 3400
81.8%
Hangul
ValueCountFrequency (%)
및 29
53.7%
굴 2
 
3.7%
낭 2
 
3.7%
나 2
 
3.7%
무 2
 
3.7%
주 1
 
1.9%
음 1
 
1.9%
감 1
 
1.9%
모 1
 
1.9%
루 1
 
1.9%
Other values (12) 12
22.2%
CJK Compat Ideographs
ValueCountFrequency (%)
立 23
17.4%
李 21
15.9%
蓮 19
14.4%
六 9
 
6.8%
樂 7
 
5.3%
龍 6
 
4.5%
金 5
 
3.8%
寧 4
 
3.0%
林 3
 
2.3%
栗 3
 
2.3%
Other values (25) 32
24.2%
Math Operators
ValueCountFrequency (%)
∼ 6
100.0%
None
ValueCountFrequency (%)
· 2
33.3%
～ 2
33.3%
　 2
33.3%

소재지
Text

Distinct397
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T11:57:51.435620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length23.655431
Min length6

Characters and Unicode

Total characters12632
Distinct characters255
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

Unique354 ?
Unique (%)66.3%

Sample

1st row충북 충주시 엄정면 괴동리 산34-1번지
2nd row충청북도 충주시 청금로 112-6 (중앙탑면)
3rd row충청북도 음성군 음성읍 읍내리 817-12
4th row충북 보은군 속리산면 사내리 산1-1번지
5th row충청북도 청주시 상당구 남문로2가 남문로2가 92-6
ValueCountFrequency (%)
충북 291
 
10.0%
충청북도 128
 
4.4%
청주시 128
 
4.4%
충주시 64
 
2.2%
상당구 57
 
2.0%
흥덕구 57
 
2.0%
제천시 55
 
1.9%
단양군 46
 
1.6%
보은군 39
 
1.3%
청주고인쇄박물관 38
 
1.3%
Other values (882) 2003
68.9%
2023-12-12T11:57:52.276111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2375
 
18.8%
충 500
 
4.0%
1 443
 
3.5%
북 431
 
3.4%
청 373
 
3.0%
면 341
 
2.7%
리 336
 
2.7%
시 256
 
2.0%
2 253
 
2.0%
산 250
 
2.0%
Other values (245) 7074
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7700
61.0%
Space Separator 2375
 
18.8%
Decimal Number 1826
 
14.5%
Dash Punctuation 235
 
1.9%
Close Punctuation 203
 
1.6%
Open Punctuation 203
 
1.6%
Other Punctuation 90
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 500
 
6.5%
북 431
 
5.6%
청 373
 
4.8%
면 341
 
4.4%
리 336
 
4.4%
시 256
 
3.3%
산 250
 
3.2%
군 249
 
3.2%
주 248
 
3.2%
동 195
 
2.5%
Other values (230) 4521
58.7%
Decimal Number
ValueCountFrequency (%)
1 443
24.3%
2 253
13.9%
3 233
12.8%
7 148
 
8.1%
5 144
 
7.9%
4 138
 
7.6%
0 135
 
7.4%
8 127
 
7.0%
6 114
 
6.2%
9 91
 
5.0%
Space Separator
ValueCountFrequency (%)
2375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 203
100.0%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7700
61.0%
Common 4932
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 500
 
6.5%
북 431
 
5.6%
청 373
 
4.8%
면 341
 
4.4%
리 336
 
4.4%
시 256
 
3.3%
산 250
 
3.2%
군 249
 
3.2%
주 248
 
3.2%
동 195
 
2.5%
Other values (230) 4521
58.7%
Common
ValueCountFrequency (%)
2375
48.2%
1 443
 
9.0%
2 253
 
5.1%
- 235
 
4.8%
3 233
 
4.7%
) 203
 
4.1%
( 203
 
4.1%
7 148
 
3.0%
5 144
 
2.9%
4 138
 
2.8%
Other values (5) 557
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7700
61.0%
ASCII 4932
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2375
48.2%
1 443
 
9.0%
2 253
 
5.1%
- 235
 
4.8%
3 233
 
4.7%
) 203
 
4.1%
( 203
 
4.1%
7 148
 
3.0%
5 144
 
2.9%
4 138
 
2.8%
Other values (5) 557
 
11.3%
Hangul
ValueCountFrequency (%)
충 500
 
6.5%
북 431
 
5.6%
청 373
 
4.8%
면 341
 
4.4%
리 336
 
4.4%
시 256
 
3.3%
산 250
 
3.2%
군 249
 
3.2%
주 248
 
3.2%
동 195
 
2.5%
Other values (230) 4521
58.7%

관리자(단체)
Text

Distinct262
Distinct (%)49.4%
Missing4
Missing (%)0.7%
Memory size4.3 KiB
2023-12-12T11:57:52.657859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length4.6320755
Min length3

Characters and Unicode

Total characters2455
Distinct characters210
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

Unique209 ?
Unique (%)39.4%

Sample

1st row충주시
2nd row김영섭
3rd row음성군
4th row법주사
5th row청주시
ValueCountFrequency (%)
청주시 51
 
9.3%
구인사 32
 
5.8%
충주시 29
 
5.3%
제천시 21
 
3.8%
법주사 20
 
3.6%
괴산군 11
 
2.0%
단양군 10
 
1.8%
진천군 9
 
1.6%
청주고인쇄박물관 9
 
1.6%
옥천군 9
 
1.6%
Other values (263) 349
63.5%
2023-12-12T11:57:53.326373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 152
 
6.2%
사 119
 
4.8%
시 111
 
4.5%
청 83
 
3.4%
종 82
 
3.3%
씨 72
 
2.9%
군 63
 
2.6%
천 63
 
2.6%
중 62
 
2.5%
충 46
 
1.9%
Other values (200) 1602
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2374
96.7%
Close Punctuation 28
 
1.1%
Open Punctuation 28
 
1.1%
Space Separator 20
 
0.8%
Other Punctuation 4
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 152
 
6.4%
사 119
 
5.0%
시 111
 
4.7%
청 83
 
3.5%
종 82
 
3.5%
씨 72
 
3.0%
군 63
 
2.7%
천 63
 
2.7%
중 62
 
2.6%
충 46
 
1.9%
Other values (194) 1521
64.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2374
96.7%
Common 81
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 152
 
6.4%
사 119
 
5.0%
시 111
 
4.7%
청 83
 
3.5%
종 82
 
3.5%
씨 72
 
3.0%
군 63
 
2.7%
천 63
 
2.7%
중 62
 
2.6%
충 46
 
1.9%
Other values (194) 1521
64.1%
Common
ValueCountFrequency (%)
) 28
34.6%
( 28
34.6%
20
24.7%
, 3
 
3.7%
/ 1
 
1.2%
1 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2374
96.7%
ASCII 81
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 152
 
6.4%
사 119
 
5.0%
시 111
 
4.7%
청 83
 
3.5%
종 82
 
3.5%
씨 72
 
3.0%
군 63
 
2.7%
천 63
 
2.7%
중 62
 
2.6%
충 46
 
1.9%
Other values (194) 1521
64.1%
ASCII
ValueCountFrequency (%)
) 28
34.6%
( 28
34.6%
20
24.7%
, 3
 
3.7%
/ 1
 
1.2%
1 1
 
1.2%

소유자
Text

Distinct256
Distinct (%)48.3%
Missing4
Missing (%)0.7%
Memory size4.3 KiB
2023-12-12T11:57:53.834296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length4.9113208
Min length2

Characters and Unicode

Total characters2603
Distinct characters218
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

Unique197 ?
Unique (%)37.2%

Sample

1st row국유
2nd row김영섭
3rd row국유
4th row국유
5th row국유
ValueCountFrequency (%)
국유 58
 
10.2%
구인사 32
 
5.6%
청주시 29
 
5.1%
법주사 20
 
3.5%
청주고인쇄박물관 18
 
3.2%
향교재단 15
 
2.6%
충주시 13
 
2.3%
제천시 10
 
1.8%
사유 10
 
1.8%
안동권씨문순공파종중 9
 
1.6%
Other values (257) 353
62.3%
2023-12-12T11:57:54.597898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 135
 
5.2%
사 128
 
4.9%
종 126
 
4.8%
씨 117
 
4.5%
중 98
 
3.8%
유 86
 
3.3%
국 75
 
2.9%
청 75
 
2.9%
인 58
 
2.2%
시 55
 
2.1%
Other values (208) 1650
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2538
97.5%
Space Separator 37
 
1.4%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Decimal Number 7
 
0.3%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 135
 
5.3%
사 128
 
5.0%
종 126
 
5.0%
씨 117
 
4.6%
중 98
 
3.9%
유 86
 
3.4%
국 75
 
3.0%
청 75
 
3.0%
인 58
 
2.3%
시 55
 
2.2%
Other values (200) 1585
62.5%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
0 1
 
14.3%
5 1
 
14.3%
8 1
 
14.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2538
97.5%
Common 65
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 135
 
5.3%
사 128
 
5.0%
종 126
 
5.0%
씨 117
 
4.6%
중 98
 
3.9%
유 86
 
3.4%
국 75
 
3.0%
청 75
 
3.0%
인 58
 
2.3%
시 55
 
2.2%
Other values (200) 1585
62.5%
Common
ValueCountFrequency (%)
37
56.9%
( 8
 
12.3%
) 8
 
12.3%
, 5
 
7.7%
1 4
 
6.2%
0 1
 
1.5%
5 1
 
1.5%
8 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2538
97.5%
ASCII 65
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 135
 
5.3%
사 128
 
5.0%
종 126
 
5.0%
씨 117
 
4.6%
중 98
 
3.9%
유 86
 
3.4%
국 75
 
3.0%
청 75
 
3.0%
인 58
 
2.3%
시 55
 
2.2%
Other values (200) 1585
62.5%
ASCII
ValueCountFrequency (%)
37
56.9%
( 8
 
12.3%
) 8
 
12.3%
, 5
 
7.7%
1 4
 
6.2%
0 1
 
1.5%
5 1
 
1.5%
8 1
 
1.5%

지정일
Date

Distinct156
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum1975-02-21 00:00:00
Maximum2022-07-01 00:00:00
2023-12-12T11:57:54.842706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:57:55.061474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지정규모
Text

MISSING 

Distinct126
Distinct (%)24.9%
Missing27
Missing (%)5.1%
Memory size4.3 KiB
2023-12-12T11:57:55.462670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length2
Mean length3.1952663
Min length2

Characters and Unicode

Total characters1620
Distinct characters50
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)18.3%

Sample

1st row1기
2nd row1기
3rd row1기
4th row1기
5th row1동
ValueCountFrequency (%)
1기 81
15.5%
1동 59
 
11.3%
1곽 44
 
8.4%
1구 38
 
7.3%
1책 27
 
5.2%
1점 21
 
4.0%
1권1책 20
 
3.8%
1원 20
 
3.8%
1폭 17
 
3.3%
2권1책 10
 
1.9%
Other values (124) 185
35.4%
2023-12-12T11:57:56.120793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 486
30.0%
동 106
 
6.5%
책 96
 
5.9%
기 95
 
5.9%
곽 73
 
4.5%
권 66
 
4.1%
2 64
 
4.0%
3 51
 
3.1%
, 48
 
3.0%
구 47
 
2.9%
Other values (40) 488
30.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 803
49.6%
Other Letter 624
38.5%
Other Punctuation 53
 
3.3%
Open Punctuation 44
 
2.7%
Close Punctuation 44
 
2.7%
Other Symbol 27
 
1.7%
Space Separator 15
 
0.9%
Lowercase Letter 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
17.0%
책 96
15.4%
기 95
15.2%
곽 73
11.7%
권 66
10.6%
구 47
7.5%
점 40
 
6.4%
원 26
 
4.2%
폭 22
 
3.5%
매 9
 
1.4%
Other values (22) 44
7.1%
Decimal Number
ValueCountFrequency (%)
1 486
60.5%
2 64
 
8.0%
3 51
 
6.4%
6 40
 
5.0%
4 35
 
4.4%
0 32
 
4.0%
5 30
 
3.7%
8 24
 
3.0%
7 24
 
3.0%
9 17
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 48
90.6%
/ 3
 
5.7%
. 2
 
3.8%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 27
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 986
60.9%
Hangul 624
38.5%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
17.0%
책 96
15.4%
기 95
15.2%
곽 73
11.7%
권 66
10.6%
구 47
7.5%
점 40
 
6.4%
원 26
 
4.2%
폭 22
 
3.5%
매 9
 
1.4%
Other values (22) 44
7.1%
Common
ValueCountFrequency (%)
1 486
49.3%
2 64
 
6.5%
3 51
 
5.2%
, 48
 
4.9%
( 44
 
4.5%
) 44
 
4.5%
6 40
 
4.1%
4 35
 
3.5%
0 32
 
3.2%
5 30
 
3.0%
Other values (7) 112
 
11.4%
Latin
ValueCountFrequency (%)
m 10
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 969
59.8%
Hangul 624
38.5%
CJK Compat 27
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 486
50.2%
2 64
 
6.6%
3 51
 
5.3%
, 48
 
5.0%
( 44
 
4.5%
) 44
 
4.5%
6 40
 
4.1%
4 35
 
3.6%
0 32
 
3.3%
5 30
 
3.1%
Other values (7) 95
 
9.8%
Hangul
ValueCountFrequency (%)
동 106
17.0%
책 96
15.4%
기 95
15.2%
곽 73
11.7%
권 66
10.6%
구 47
7.5%
점 40
 
6.4%
원 26
 
4.2%
폭 22
 
3.5%
매 9
 
1.4%
Other values (22) 44
7.1%
CJK Compat
ValueCountFrequency (%)
㎡ 27
100.0%

Missing values

2023-12-12T11:57:46.721276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:57:46.924960image/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.
2023-12-12T11:57:47.090986image/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

구분종목명칭명칭(한자)소재지관리자(단체)소유자지정일지정규모
0유형문화재충청북도 유형문화재 제6호충주 경종 태실忠州 景宗 胎室충북 충주시 엄정면 괴동리 산34-1번지충주시국유1975-08-201기
1유형문화재충청북도 유형문화재 제8호충주 창동리 오층석탑忠州 創洞里 五層石塔충청북도 충주시 청금로 112-6 (중앙탑면)김영섭김영섭1975-08-201기
2유형문화재충청북도 유형문화재 제9호음성 읍내리 오층모전석탑陰城 邑內里 五層模塼石塔충청북도 음성군 음성읍 읍내리 817-12음성군국유1975-08-201기
3유형문화재충청북도 유형문화재 제11호보은 순조 태실報恩 純祖 胎室충북 보은군 속리산면 사내리 산1-1번지법주사국유1975-08-201기
4유형문화재충청북도 유형문화재 제15호청주 충청도병마절도사영문淸州 忠淸道兵馬節度使營門충청북도 청주시 상당구 남문로2가 남문로2가 92-6청주시국유1976-12-211동
5유형문화재충청북도 유형문화재 제16호보은 법주사 세존사리탑報恩 法住寺 世尊舍利塔충북 보은군 속리산면 사내리 209번지법주사법주사1976-12-211기
6유형문화재충청북도 유형문화재 제17호옥천 용암사 마애여래입상沃川 龍岩寺 磨崖如來立像충북 옥천군 옥천읍 삼청리 산51-1번지용암사용암사1976-12-211구
7유형문화재충청북도 유형문화재 제18호충주 원평리 석조여래입상忠州 院坪里 石造如來立像충북 충주시 신니면 원평리 108-1번지충주시국유1976-12-211구
8유형문화재충청북도 유형문화재 제19호충주 미륵대원지 석등忠州 彌勒大院址 石燈충북 충주시 수안보면 미륵리 56번지충주시국유1976-12-211기
9유형문화재충청북도 유형문화재 제20호제천 청풍 금남루堤川 淸風 錦南樓충북 제천시 청풍면 청풍호로 2048 (물태리)제천시국유1976-12-211동
구분종목명칭명칭(한자)소재지관리자(단체)소유자지정일지정규모
524민속문화재충청북도 민속문화재 제13호괴산 문당리 서낭단槐山 文塘里 서낭壇괴산군 청안면 문당리 산96오리목마을(괴산군)오리목마을회2002-07-121곽
525민속문화재충청북도 민속문화재 제14호괴산 홍범식 고가槐山 洪範植 古家괴산군 괴산읍 임꺽정로 16 (동부리)괴산군괴산군2002-12-201곽(3동)
526민속문화재충청북도 민속문화재 제15호이제열 지석李齊說 誌石청주시 흥덕구 가경동 768문의문화재단지 보관전주이씨수도군풍산부전공파제열공계소종회2004-07-09자판7매
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