Overview

Dataset statistics

Number of variables3
Number of observations125
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory26.0 B

Variable types

Text1
Categorical1
Numeric1

Dataset

Description학점은행제 국가무형문화재 종목 관리에 대한 데이터로 국가무형문화재 종목명칭, 국가무형문화재 분야, 정렬순서 등의 항목을 제공합니다.
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15089363/fileData.do

Alerts

종목명칭 has unique valuesUnique

Reproduction

Analysis started2024-04-21 15:11:38.869685
Analysis finished2024-04-21 15:11:39.752429
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목명칭
Text

UNIQUE 

Distinct125
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-22T00:11:40.643443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.384
Min length2

Characters and Unicode

Total characters548
Distinct characters190
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)100.0%

Sample

1st row종묘제례악
2nd row나전장
3rd row옥장
4th row금속활자장
5th row배첩장
ValueCountFrequency (%)
종묘제례악 1
 
0.8%
대금산조 1
 
0.8%
기지시줄다리기 1
 
0.8%
대목장 1
 
0.8%
가산오광대 1
 
0.8%
진도씻김굿 1
 
0.8%
제주칠머리당굿 1
 
0.8%
양주소놀이굿 1
 
0.8%
고성오광대 1
 
0.8%
하회별신굿탈놀이 1
 
0.8%
Other values (118) 118
92.2%
2024-04-22T00:11:42.159046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 44
 
8.0%
이 15
 
2.7%
대 14
 
2.6%
산 14
 
2.6%
기 14
 
2.6%
주 13
 
2.4%
놀 12
 
2.2%
제 11
 
2.0%
굿 11
 
2.0%
도 10
 
1.8%
Other values (180) 390
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
99.5%
Space Separator 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 44
 
8.1%
이 15
 
2.8%
대 14
 
2.6%
산 14
 
2.6%
기 14
 
2.6%
주 13
 
2.4%
놀 12
 
2.2%
제 11
 
2.0%
굿 11
 
2.0%
도 10
 
1.8%
Other values (179) 387
71.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
99.5%
Common 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 44
 
8.1%
이 15
 
2.8%
대 14
 
2.6%
산 14
 
2.6%
기 14
 
2.6%
주 13
 
2.4%
놀 12
 
2.2%
제 11
 
2.0%
굿 11
 
2.0%
도 10
 
1.8%
Other values (179) 387
71.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
99.5%
ASCII 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 44
 
8.1%
이 15
 
2.8%
대 14
 
2.6%
산 14
 
2.6%
기 14
 
2.6%
주 13
 
2.4%
놀 12
 
2.2%
제 11
 
2.0%
굿 11
 
2.0%
도 10
 
1.8%
Other values (179) 387
71.0%
ASCII
ValueCountFrequency (%)
3
100.0%

분야
Categorical

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
공예기술
47 
놀이와 의식
29 
음악
23 
연극
13 
무용
8 

Length

Max length6
Median length4
Mean length3.84
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음악
2nd row공예기술
3rd row공예기술
4th row공예기술
5th row공예기술

Common Values

ValueCountFrequency (%)
공예기술 47
37.6%
놀이와 의식 29
23.2%
음악 23
18.4%
연극 13
 
10.4%
무용 8
 
6.4%
음식과 무예 5
 
4.0%

Length

2024-04-22T00:11:42.595718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T00:11:42.951079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공예기술 47
29.6%
놀이와 29
18.2%
의식 29
18.2%
음악 23
14.5%
연극 13
 
8.2%
무용 8
 
5.0%
음식과 5
 
3.1%
무예 5
 
3.1%

정렬순서
Real number (ℝ)

Distinct124
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.232
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-22T00:11:43.317283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.2
Q145
median77
Q3107
95-th percentile131.8
Maximum138
Range137
Interquartile range (IQR)62

Descriptive statistics

Standard deviation38.114034
Coefficient of variation (CV)0.50661998
Kurtosis-1.0026084
Mean75.232
Median Absolute Deviation (MAD)31
Skewness-0.17267662
Sum9404
Variance1452.6796
MonotonicityNot monotonic
2024-04-22T00:11:43.955653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105 2
 
1.6%
1 1
 
0.8%
78 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
7 1
 
0.8%
Other values (114) 114
91.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
138 1
0.8%
137 1
0.8%
136 1
0.8%
135 1
0.8%
134 1
0.8%
133 1
0.8%
132 1
0.8%
131 1
0.8%
130 1
0.8%
129 1
0.8%

Interactions

2024-04-22T00:11:39.090722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T00:11:44.218308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야정렬순서
분야1.0000.468
정렬순서0.4681.000
2024-04-22T00:11:44.436095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬순서분야
정렬순서1.0000.263
분야0.2631.000

Missing values

2024-04-22T00:11:39.420168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T00:11:39.658174image/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

종목명칭분야정렬순서
0종묘제례악음악1
1나전장공예기술10
2옥장공예기술120
3금속활자장공예기술121
4배첩장공예기술122
5완초장공예기술123
6서울새남굿놀이와 의식124
7사기장공예기술125
8각자장공예기술126
9누비장공예기술127
종목명칭분야정렬순서
115황해도평산소놀음굿놀이와 의식110
116제와장공예기술111
117태평무무용112
118전통장공예기술113
119벼루장공예기술114
120제주민요음악115
121옹기장공예기술116
122살풀이춤무용117
123경기도도당굿놀이와 의식118
124소반장공예기술119