Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory70.5 B

Variable types

Text6
Numeric1
DateTime1

Dataset

Description경상남도 무형문화재 전수교육관 현황입니다. 경상남도 무형문화재 전수교육관의 시군명, 전수관명, 주소, 규모 등에 관한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15047477/fileData.do

Alerts

전수관명 has unique valuesUnique
건립비(백만원) has unique valuesUnique
입주단체 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:58:18.938272
Analysis finished2023-12-12 12:58:20.173311
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Text

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T21:58:20.344786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters48
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)20.8%

Sample

1st row창원
2nd row창원
3rd row창원
4th row창원
5th row진주
ValueCountFrequency (%)
창원 4
16.7%
진주 4
16.7%
밀양 3
12.5%
통영 2
8.3%
사천 2
8.3%
양산 2
8.3%
고성 2
8.3%
함안 1
 
4.2%
창녕 1
 
4.2%
남해 1
 
4.2%
Other values (2) 2
8.3%
2023-12-12T21:58:20.919488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
창 6
12.5%
양 5
 
10.4%
진 4
 
8.3%
주 4
 
8.3%
원 4
 
8.3%
산 3
 
6.2%
밀 3
 
6.2%
통 2
 
4.2%
영 2
 
4.2%
사 2
 
4.2%
Other values (10) 13
27.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 6
12.5%
양 5
 
10.4%
진 4
 
8.3%
주 4
 
8.3%
원 4
 
8.3%
산 3
 
6.2%
밀 3
 
6.2%
통 2
 
4.2%
영 2
 
4.2%
사 2
 
4.2%
Other values (10) 13
27.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 6
12.5%
양 5
 
10.4%
진 4
 
8.3%
주 4
 
8.3%
원 4
 
8.3%
산 3
 
6.2%
밀 3
 
6.2%
통 2
 
4.2%
영 2
 
4.2%
사 2
 
4.2%
Other values (10) 13
27.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
창 6
12.5%
양 5
 
10.4%
진 4
 
8.3%
주 4
 
8.3%
원 4
 
8.3%
산 3
 
6.2%
밀 3
 
6.2%
통 2
 
4.2%
영 2
 
4.2%
사 2
 
4.2%
Other values (10) 13
27.1%

전수관명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T21:58:21.256964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length10.833333
Min length5

Characters and Unicode

Total characters260
Distinct characters91
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

Unique24 ?
Unique (%)100.0%

Sample

1st row국가무형문화재 제30호가곡전수관
2nd row마산무형문화재(’06사업)
3rd row매듭장전수관
4th row광려산숯일소리전수관
5th row진주전통예술회관
ValueCountFrequency (%)
전수관 2
 
7.1%
밀양백중놀이 1
 
3.6%
산청목조각장('03사업 1
 
3.6%
남해선구줄끗기('05사업 1
 
3.6%
06사업 1
 
3.6%
고성농요 1
 
3.6%
고성오광대 1
 
3.6%
영산무형문화재 1
 
3.6%
함안화천농악 1
 
3.6%
웅상농청장원놀이 1
 
3.6%
Other values (17) 17
60.7%
2023-12-12T21:58:21.838177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 11
 
4.2%
사 11
 
4.2%
0 11
 
4.2%
) 10
 
3.8%
업 10
 
3.8%
( 10
 
3.8%
관 10
 
3.8%
수 9
 
3.5%
장 6
 
2.3%
화 6
 
2.3%
Other values (81) 166
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
78.5%
Decimal Number 22
 
8.5%
Close Punctuation 10
 
3.8%
Open Punctuation 10
 
3.8%
Final Punctuation 5
 
1.9%
Other Punctuation 5
 
1.9%
Space Separator 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 11
 
5.4%
사 11
 
5.4%
업 10
 
4.9%
관 10
 
4.9%
수 9
 
4.4%
장 6
 
2.9%
화 6
 
2.9%
진 5
 
2.5%
문 5
 
2.5%
무 5
 
2.5%
Other values (71) 126
61.8%
Decimal Number
ValueCountFrequency (%)
0 11
50.0%
3 4
 
18.2%
5 3
 
13.6%
8 2
 
9.1%
6 2
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
' 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
78.5%
Common 56
 
21.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 11
 
5.4%
사 11
 
5.4%
업 10
 
4.9%
관 10
 
4.9%
수 9
 
4.4%
장 6
 
2.9%
화 6
 
2.9%
진 5
 
2.5%
문 5
 
2.5%
무 5
 
2.5%
Other values (71) 126
61.8%
Common
ValueCountFrequency (%)
0 11
19.6%
) 10
17.9%
( 10
17.9%
’ 5
8.9%
' 5
8.9%
3 4
 
7.1%
4
 
7.1%
5 3
 
5.4%
8 2
 
3.6%
6 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
78.5%
ASCII 51
 
19.6%
Punctuation 5
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 11
 
5.4%
사 11
 
5.4%
업 10
 
4.9%
관 10
 
4.9%
수 9
 
4.4%
장 6
 
2.9%
화 6
 
2.9%
진 5
 
2.5%
문 5
 
2.5%
무 5
 
2.5%
Other values (71) 126
61.8%
ASCII
ValueCountFrequency (%)
0 11
21.6%
) 10
19.6%
( 10
19.6%
' 5
9.8%
3 4
 
7.8%
4
 
7.8%
5 3
 
5.9%
8 2
 
3.9%
6 2
 
3.9%
Punctuation
ValueCountFrequency (%)
’ 5
100.0%

주소
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T21:58:22.245872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length17.5
Min length11

Characters and Unicode

Total characters420
Distinct characters89
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

Unique20 ?
Unique (%)83.3%

Sample

1st row창원시 마산회원구 무학로 637
2nd row창원시 마산합포구 3.15대로138
3rd row창원시 마산합포구 노산남6길 46
4th row창원시 마산회원구 내서읍 옥정1길 9-19
5th row진주시 남강로1번길 96-8(판문동)
ValueCountFrequency (%)
진주시 4
 
4.7%
창원시 4
 
4.7%
남강로1번길 4
 
4.7%
76(판문동 2
 
2.4%
마산합포구 2
 
2.4%
26 2
 
2.4%
밀양시 2
 
2.4%
마산회원구 2
 
2.4%
고성군 2
 
2.4%
용현면 2
 
2.4%
Other values (55) 59
69.4%
2023-12-12T21:58:22.947722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
14.5%
1 22
 
5.2%
길 18
 
4.3%
시 17
 
4.0%
6 12
 
2.9%
면 11
 
2.6%
산 10
 
2.4%
동 10
 
2.4%
로 10
 
2.4%
남 10
 
2.4%
Other values (79) 239
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
58.8%
Decimal Number 89
 
21.2%
Space Separator 61
 
14.5%
Dash Punctuation 8
 
1.9%
Close Punctuation 7
 
1.7%
Open Punctuation 7
 
1.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 18
 
7.3%
시 17
 
6.9%
면 11
 
4.5%
산 10
 
4.0%
동 10
 
4.0%
로 10
 
4.0%
남 10
 
4.0%
원 9
 
3.6%
창 7
 
2.8%
군 7
 
2.8%
Other values (64) 138
55.9%
Decimal Number
ValueCountFrequency (%)
1 22
24.7%
6 12
13.5%
3 9
10.1%
2 9
10.1%
7 9
10.1%
4 7
 
7.9%
9 6
 
6.7%
5 6
 
6.7%
0 5
 
5.6%
8 4
 
4.5%
Space Separator
ValueCountFrequency (%)
61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
58.8%
Common 173
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 18
 
7.3%
시 17
 
6.9%
면 11
 
4.5%
산 10
 
4.0%
동 10
 
4.0%
로 10
 
4.0%
남 10
 
4.0%
원 9
 
3.6%
창 7
 
2.8%
군 7
 
2.8%
Other values (64) 138
55.9%
Common
ValueCountFrequency (%)
61
35.3%
1 22
 
12.7%
6 12
 
6.9%
3 9
 
5.2%
2 9
 
5.2%
7 9
 
5.2%
- 8
 
4.6%
) 7
 
4.0%
( 7
 
4.0%
4 7
 
4.0%
Other values (5) 22
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
58.8%
ASCII 173
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
35.3%
1 22
 
12.7%
6 12
 
6.9%
3 9
 
5.2%
2 9
 
5.2%
7 9
 
5.2%
- 8
 
4.6%
) 7
 
4.0%
( 7
 
4.0%
4 7
 
4.0%
Other values (5) 22
 
12.7%
Hangul
ValueCountFrequency (%)
길 18
 
7.3%
시 17
 
6.9%
면 11
 
4.5%
산 10
 
4.0%
동 10
 
4.0%
로 10
 
4.0%
남 10
 
4.0%
원 9
 
3.6%
창 7
 
2.8%
군 7
 
2.8%
Other values (64) 138
55.9%

규모
Text

Distinct15
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T21:58:23.253119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length9.9166667
Min length2

Characters and Unicode

Total characters238
Distinct characters13
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

Unique13 ?
Unique (%)54.2%

Sample

1st row1동(지상2층,지하1층)
2nd row1동(지상4층,지하 1층)
3rd row1동(지상2층)
4th row1동(지상2층)
5th row1동(지상3층,지하1층)
ValueCountFrequency (%)
1동(지상2층 8
28.6%
1동(지상1층 3
 
10.7%
1층 2
 
7.1%
1동 2
 
7.1%
3동(지상1층,지하1층 1
 
3.6%
2동(지상2층 1
 
3.6%
2동(지하1,지상4 1
 
3.6%
2동(지상1층 1
 
3.6%
지하1층 1
 
3.6%
2동(지상1층,지상1 1
 
3.6%
Other values (7) 7
25.0%
2023-12-12T21:58:23.896447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35
14.7%
지 33
13.9%
층 30
12.6%
동 24
10.1%
( 24
10.1%
상 24
10.1%
) 23
9.7%
2 17
7.1%
, 10
 
4.2%
하 9
 
3.8%
Other values (3) 9
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
50.4%
Decimal Number 57
23.9%
Open Punctuation 24
 
10.1%
Close Punctuation 23
 
9.7%
Other Punctuation 10
 
4.2%
Space Separator 4
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 33
27.5%
층 30
25.0%
동 24
20.0%
상 24
20.0%
하 9
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 35
61.4%
2 17
29.8%
3 3
 
5.3%
4 2
 
3.5%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
50.4%
Common 118
49.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 35
29.7%
( 24
20.3%
) 23
19.5%
2 17
14.4%
, 10
 
8.5%
4
 
3.4%
3 3
 
2.5%
4 2
 
1.7%
Hangul
ValueCountFrequency (%)
지 33
27.5%
층 30
25.0%
동 24
20.0%
상 24
20.0%
하 9
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
50.4%
ASCII 118
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 35
29.7%
( 24
20.3%
) 23
19.5%
2 17
14.4%
, 10
 
8.5%
4
 
3.4%
3 3
 
2.5%
4 2
 
1.7%
Hangul
ValueCountFrequency (%)
지 33
27.5%
층 30
25.0%
동 24
20.0%
상 24
20.0%
하 9
 
7.5%

건립비(백만원)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T21:58:24.237363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18.5
Mean length14.041667
Min length8

Characters and Unicode

Total characters337
Distinct characters20
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

Unique24 ?
Unique (%)100.0%

Sample

1st row2720(국1,350지1,370)
2nd row1400(도300시1,100)
3rd row54.9(시비)
4th row22.2(시비)
5th row3898(국1,100지2,798)
ValueCountFrequency (%)
2720(국1,350지1,370 1
 
3.7%
170(지170 1
 
3.7%
1700(국300,지1,400 1
 
3.7%
80,지135 1
 
3.7%
215(국 1
 
3.7%
624(국312,지312 1
 
3.7%
7150(국2,600지4,550 1
 
3.7%
374(국129,지245 1
 
3.7%
150(지150 1
 
3.7%
1600(국300,지1,300 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T21:58:24.866178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 72
21.4%
1 31
9.2%
, 27
 
8.0%
) 24
 
7.1%
( 24
 
7.1%
지 21
 
6.2%
3 20
 
5.9%
2 20
 
5.9%
5 18
 
5.3%
국 17
 
5.0%
Other values (10) 63
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 212
62.9%
Other Letter 44
 
13.1%
Other Punctuation 30
 
8.9%
Close Punctuation 24
 
7.1%
Open Punctuation 24
 
7.1%
Space Separator 3
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
34.0%
1 31
14.6%
3 20
 
9.4%
2 20
 
9.4%
5 18
 
8.5%
4 17
 
8.0%
7 16
 
7.5%
8 7
 
3.3%
6 7
 
3.3%
9 4
 
1.9%
Other Letter
ValueCountFrequency (%)
지 21
47.7%
국 17
38.6%
시 3
 
6.8%
비 2
 
4.5%
도 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 27
90.0%
. 3
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 293
86.9%
Hangul 44
 
13.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72
24.6%
1 31
10.6%
, 27
 
9.2%
) 24
 
8.2%
( 24
 
8.2%
3 20
 
6.8%
2 20
 
6.8%
5 18
 
6.1%
4 17
 
5.8%
7 16
 
5.5%
Other values (5) 24
 
8.2%
Hangul
ValueCountFrequency (%)
지 21
47.7%
국 17
38.6%
시 3
 
6.8%
비 2
 
4.5%
도 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 293
86.9%
Hangul 44
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72
24.6%
1 31
10.6%
, 27
 
9.2%
) 24
 
8.2%
( 24
 
8.2%
3 20
 
6.8%
2 20
 
6.8%
5 18
 
6.1%
4 17
 
5.8%
7 16
 
5.5%
Other values (5) 24
 
8.2%
Hangul
ValueCountFrequency (%)
지 21
47.7%
국 17
38.6%
시 3
 
6.8%
비 2
 
4.5%
도 1
 
2.3%

부지면적
Real number (ℝ)

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4066.8225
Minimum144
Maximum15959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T21:58:25.104625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144
5-th percentile169.211
Q1883
median2241.5
Q35990.25
95-th percentile12222.7
Maximum15959
Range15815
Interquartile range (IQR)5107.25

Descriptive statistics

Standard deviation4685.5074
Coefficient of variation (CV)1.1521298
Kurtosis0.45031353
Mean4066.8225
Median Absolute Deviation (MAD)1469.5
Skewness1.3029871
Sum97603.74
Variance21953980
MonotonicityNot monotonic
2023-12-12T21:58:25.392082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
11320.0 2
 
8.3%
883.0 2
 
8.3%
1340.0 1
 
4.2%
2826.0 1
 
4.2%
12382.0 1
 
4.2%
2241.0 1
 
4.2%
270.0 1
 
4.2%
1008.0 1
 
4.2%
8454.0 1
 
4.2%
1828.0 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
144.0 1
4.2%
161.0 1
4.2%
215.74 1
4.2%
270.0 1
4.2%
661.0 1
4.2%
883.0 2
8.3%
977.0 1
4.2%
1008.0 1
4.2%
1340.0 1
4.2%
1828.0 1
4.2%
ValueCountFrequency (%)
15959.0 1
4.2%
12382.0 1
4.2%
11320.0 2
8.3%
9604.0 1
4.2%
8454.0 1
4.2%
5169.0 1
4.2%
2826.0 1
4.2%
2642.0 1
4.2%
2595.0 1
4.2%
2479.0 1
4.2%

입주단체
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T21:58:25.814389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length31.5
Mean length21.291667
Min length7

Characters and Unicode

Total characters511
Distinct characters123
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

Unique24 ?
Unique (%)100.0%

Sample

1st row가곡(국무30)
2nd row마산농청놀이(도무6),아랫녘수륙재(국무127)
3rd row매듭장(도무)
4th row광려산숯일소리보존회(도무)
5th row진주검무(국무12),진주한량무(도무3),진주포구락무(도무10),진주교방굿거리춤(도무21),신관용류가야금산조(도무25)
ValueCountFrequency (%)
가곡(국무30 1
 
3.1%
마산농청놀이(도무6),아랫녘수륙재(국무127 1
 
3.1%
제108호 1
 
3.1%
국가무형문화재 1
 
3.1%
남해선구줄끗기(도무26 1
 
3.1%
고성농요(국무84-1 1
 
3.1%
고성오광대(국무7 1
 
3.1%
영산줄다리기(국무26),영산쇠머리대기(국무25 1
 
3.1%
함안화천농악(도무13 1
 
3.1%
양산웅상농청장원놀이(도무23 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T21:58:26.507633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
무 47
 
9.2%
) 41
 
8.0%
( 41
 
8.0%
도 27
 
5.3%
1 19
 
3.7%
, 18
 
3.5%
국 18
 
3.5%
2 13
 
2.5%
장 11
 
2.2%
리 9
 
1.8%
Other values (113) 267
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 325
63.6%
Decimal Number 76
 
14.9%
Close Punctuation 41
 
8.0%
Open Punctuation 41
 
8.0%
Other Punctuation 18
 
3.5%
Space Separator 8
 
1.6%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 47
 
14.5%
도 27
 
8.3%
국 18
 
5.5%
장 11
 
3.4%
리 9
 
2.8%
산 7
 
2.2%
소 7
 
2.2%
진 7
 
2.2%
가 6
 
1.8%
주 6
 
1.8%
Other values (98) 180
55.4%
Decimal Number
ValueCountFrequency (%)
1 19
25.0%
2 13
17.1%
3 8
10.5%
6 8
10.5%
7 6
 
7.9%
8 6
 
7.9%
0 6
 
7.9%
5 4
 
5.3%
4 4
 
5.3%
9 2
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 325
63.6%
Common 186
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 47
 
14.5%
도 27
 
8.3%
국 18
 
5.5%
장 11
 
3.4%
리 9
 
2.8%
산 7
 
2.2%
소 7
 
2.2%
진 7
 
2.2%
가 6
 
1.8%
주 6
 
1.8%
Other values (98) 180
55.4%
Common
ValueCountFrequency (%)
) 41
22.0%
( 41
22.0%
1 19
10.2%
, 18
9.7%
2 13
 
7.0%
3 8
 
4.3%
6 8
 
4.3%
8
 
4.3%
7 6
 
3.2%
8 6
 
3.2%
Other values (5) 18
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 325
63.6%
ASCII 186
36.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
무 47
 
14.5%
도 27
 
8.3%
국 18
 
5.5%
장 11
 
3.4%
리 9
 
2.8%
산 7
 
2.2%
소 7
 
2.2%
진 7
 
2.2%
가 6
 
1.8%
주 6
 
1.8%
Other values (98) 180
55.4%
ASCII
ValueCountFrequency (%)
) 41
22.0%
( 41
22.0%
1 19
10.2%
, 18
9.7%
2 13
 
7.0%
3 8
 
4.3%
6 8
 
4.3%
8
 
4.3%
7 6
 
3.2%
8 6
 
3.2%
Other values (5) 18
9.7%

준공일
Date

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum1982-10-01 00:00:00
Maximum2019-07-01 00:00:00
2023-12-12T21:58:26.736857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:58:26.944873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

Interactions

2023-12-12T21:58:19.507794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:58:27.109118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군전수관명주소규모건립비(백만원)부지면적입주단체준공일
시군1.0001.0001.0000.5751.0000.6281.0001.000
전수관명1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0000.7351.0001.0001.0000.956
규모0.5751.0000.7351.0001.0000.8991.0001.000
건립비(백만원)1.0001.0001.0001.0001.0001.0001.0001.000
부지면적0.6281.0001.0000.8991.0001.0001.0001.000
입주단체1.0001.0001.0001.0001.0001.0001.0001.000
준공일1.0001.0000.9561.0001.0001.0001.0001.000

Missing values

2023-12-12T21:58:19.793554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:58:20.079170image/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

시군전수관명주소규모건립비(백만원)부지면적입주단체준공일
0창원국가무형문화재 제30호가곡전수관창원시 마산회원구 무학로 6371동(지상2층,지하1층)2720(국1,350지1,370)1340.0가곡(국무30)2006-09
1창원마산무형문화재(’06사업)창원시 마산합포구 3.15대로1381동(지상4층,지하 1층)1400(도300시1,100)144.0마산농청놀이(도무6),아랫녘수륙재(국무127)2008-06
2창원매듭장전수관창원시 마산합포구 노산남6길 461동(지상2층)54.9(시비)161.0매듭장(도무)2019-07
3창원광려산숯일소리전수관창원시 마산회원구 내서읍 옥정1길 9-191동(지상2층)22.2(시비)215.74광려산숯일소리보존회(도무)2019-07
4진주진주전통예술회관진주시 남강로1번길 96-8(판문동)1동(지상3층,지하1층)3898(국1,100지2,798)11320.0진주검무(국무12),진주한량무(도무3),진주포구락무(도무10),진주교방굿거리춤(도무21),신관용류가야금산조(도무25)2002-10
5진주진주장도장(’03사업)진주시 남강로1번길 76(판문동)1동(지상2층)200(국100,지100)883.0장도장(도무10)은장도2004-12
6진주진주두석장(’08사업)진주시 남강로1번길 76(판문동)1동70(국35,지35)883.0두석장(도무31) 정한열2010-03
7진주진주오광대(’08사업)진주시 남강로1번길 96-8(판문동)1동 (지상2층)770(국300,지470)11320.0진주오광대(도무27)2011-03
8통영통영공예전수교육관통영시 해미당1길 45-24(무전동)1동((지상2층,지하1층)280(국140,지140)977.0나전장(국무10), 두석장(국무64), 소목장(국무55),염장(국무114)1994-10
9통영통영예능전수교육관(’03사업)통영시 멘데해안길 205(정량동)1동(지상3층,지하 1층)3000(국1,500,지1,500)5169.0통영오광대(국무6),승전무(국무21),남해안별신굿(국무82-라)2006-02
시군전수관명주소규모건립비(백만원)부지면적입주단체준공일
14밀양밀양법흥상원놀이 전수관밀양시 단장면 법사길 771동(지상1층)160(지160)661.0밀양 법흥상원놀이(도무16)2010-08
15양산가야진용신제('05사업)양산시 원동면 용당들길 43-701동(지상1층)800(국400,지400)2826.0가야진용신제(도무19)2006-10
16양산웅상농청장원놀이양산시 명동3길 111동(지상2층)1600(국300,지1,300)2642.0양산웅상농청장원놀이(도무23)2008-08
17함안함안화천농악함안군 칠북면 화천1길 752동(지상1층)150(지150)2595.0함안화천농악(도무13)1995-04
18창녕영산무형문화재창녕군 영산면 원다리길 15-11동(지상1층)374(국129,지245)1828.0영산줄다리기(국무26),영산쇠머리대기(국무25)1988-03
19고성고성오광대고성군 고성읍 남해안대로 25712동(지하1,지상4)7150(국2,600지4,550)8454.0고성오광대(국무7)2013-02
20고성고성농요 ('06사업)고성군 상리면척번정7길 261동(지상2층)624(국312,지312)1008.0고성농요(국무84-1)2007-05
21남해남해선구줄끗기('05사업)남해군 남면 남면로1103번길 261동(지상2층)215(국 80,지135)270.0남해선구줄끗기(도무26)2006-08
22산청산청목조각장('03사업)산청군 생초면 산수로 10642동(지상2층)1700(국300,지1,400)2241.0국가무형문화재 제108호2011-10
23거창거창전통문화전수교육관('05년사업)거창군 거창읍 수남로 2193-402동(지상1층,지하1층)3500(국1,343,지2,157)12382.0징장(도무14),거창삼베일소리(도무17),거창일소리(도무30),거창삼베길쌈(도무36)2012-10