Overview

Dataset statistics

Number of variables3
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory782.0 B
Average record size in memory30.1 B

Variable types

Numeric1
Text1
Categorical1

Dataset

Description국립국어원에서 운영하는 국어문화학교 중 "온라인국어문화학교"에서 제공되는 다양한 국어교육 콘텐츠인 온라인 국어 강좌 목록을 소개합니다.
Author문화체육관광부 국립국어원
URLhttps://www.data.go.kr/data/15122282/fileData.do

Alerts

데이터 기준일 has constant value ""Constant
번호 has unique valuesUnique
강의 교육 목록 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:48:54.706023
Analysis finished2023-12-12 03:48:55.269787
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T12:48:55.377267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T12:48:55.622953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

강의 교육 목록
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T12:48:56.003448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14.5
Mean length10.961538
Min length5

Characters and Unicode

Total characters285
Distinct characters105
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

Unique26 ?
Unique (%)100.0%

Sample

1st row공공언어 바르게 쓰기
2nd row공문서 바로 쓰기
3rd row교과서와 함께하는 어문규정
4th row국어책임관 길잡이
5th row돋보기로 들여다본 나의 언어
ValueCountFrequency (%)
공공언어 4
 
5.3%
언어 4
 
5.3%
쓰기 3
 
3.9%
위한 3
 
3.9%
생활 3
 
3.9%
어문규범 2
 
2.6%
말하기 2
 
2.6%
표기법 2
 
2.6%
바르게 2
 
2.6%
올바른 1
 
1.3%
Other values (50) 50
65.8%
2023-12-12T12:48:56.537022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
20.0%
어 18
 
6.3%
기 11
 
3.9%
공 10
 
3.5%
언 9
 
3.2%
한 6
 
2.1%
정 5
 
1.8%
활 5
 
1.8%
표 5
 
1.8%
이 5
 
1.8%
Other values (95) 154
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 227
79.6%
Space Separator 57
 
20.0%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 18
 
7.9%
기 11
 
4.8%
공 10
 
4.4%
언 9
 
4.0%
한 6
 
2.6%
정 5
 
2.2%
활 5
 
2.2%
표 5
 
2.2%
이 5
 
2.2%
의 5
 
2.2%
Other values (93) 148
65.2%
Space Separator
ValueCountFrequency (%)
57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
79.6%
Common 58
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 18
 
7.9%
기 11
 
4.8%
공 10
 
4.4%
언 9
 
4.0%
한 6
 
2.6%
정 5
 
2.2%
활 5
 
2.2%
표 5
 
2.2%
이 5
 
2.2%
의 5
 
2.2%
Other values (93) 148
65.2%
Common
ValueCountFrequency (%)
57
98.3%
, 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 227
79.6%
ASCII 58
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
98.3%
, 1
 
1.7%
Hangul
ValueCountFrequency (%)
어 18
 
7.9%
기 11
 
4.8%
공 10
 
4.4%
언 9
 
4.0%
한 6
 
2.6%
정 5
 
2.2%
활 5
 
2.2%
표 5
 
2.2%
이 5
 
2.2%
의 5
 
2.2%
Other values (93) 148
65.2%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-08-21
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-21
2nd row2023-08-21
3rd row2023-08-21
4th row2023-08-21
5th row2023-08-21

Common Values

ValueCountFrequency (%)
2023-08-21 26
100.0%

Length

2023-12-12T12:48:56.724398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:48:56.858830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-21 26
100.0%

Interactions

2023-12-12T12:48:54.869462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:48:56.937761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호강의 교육 목록
번호1.0001.000
강의 교육 목록1.0001.000

Missing values

2023-12-12T12:48:55.066314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:48:55.208002image/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

번호강의 교육 목록데이터 기준일
01공공언어 바르게 쓰기2023-08-21
12공문서 바로 쓰기2023-08-21
23교과서와 함께하는 어문규정2023-08-21
34국어책임관 길잡이2023-08-21
45돋보기로 들여다본 나의 언어2023-08-21
56디지털 시민의 언어생활2023-08-21
67띄어쓰기2023-08-21
78로마자 표기법2023-08-21
89말뭉치의 이해와 활용2023-08-21
910미래를 여는 소통, 독서2023-08-21
번호강의 교육 목록데이터 기준일
1617외래어 표기법2023-08-21
1718우리말 다듬기2023-08-21
1819일상용어와 공공언어2023-08-21
1920정책명과 공공언어2023-08-21
2021청소년을 위한 어문규범2023-08-21
2122표준 언어 예절2023-08-21
2223표준어 규정2023-08-21
2324한글 맞춤법2023-08-21
2425행정용어와 공공언어2023-08-21
2526훈민정음의 이해2023-08-21