Overview

Dataset statistics

Number of variables5
Number of observations294
Missing cells6
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory42.4 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description한국사학진흥재단에서 수행한 해당 연수 교재신청 및 강의 후기, 학교 주소 등 관리 데이터 항목을 제공하고자 생성된 자료입니다.
URLhttps://www.data.go.kr/data/15042685/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:06:15.578933
Analysis finished2023-12-12 14:06:16.549394
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct294
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1632.3741
Minimum21
Maximum3462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T23:06:16.633296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile242.65
Q1801.25
median1502.5
Q32356
95-th percentile3295
Maximum3462
Range3441
Interquartile range (IQR)1554.75

Descriptive statistics

Standard deviation989.07118
Coefficient of variation (CV)0.6059096
Kurtosis-1.0503784
Mean1632.3741
Median Absolute Deviation (MAD)781
Skewness0.27408888
Sum479918
Variance978261.79
MonotonicityNot monotonic
2023-12-12T23:06:16.799034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 1
 
0.3%
761 1
 
0.3%
1162 1
 
0.3%
821 1
 
0.3%
781 1
 
0.3%
623 1
 
0.3%
566 1
 
0.3%
565 1
 
0.3%
283 1
 
0.3%
2443 1
 
0.3%
Other values (284) 284
96.6%
ValueCountFrequency (%)
21 1
0.3%
41 1
0.3%
61 1
0.3%
62 1
0.3%
81 1
0.3%
101 1
0.3%
121 1
0.3%
122 1
0.3%
123 1
0.3%
162 1
0.3%
ValueCountFrequency (%)
3462 1
0.3%
3461 1
0.3%
3445 1
0.3%
3444 1
0.3%
3442 1
0.3%
3441 1
0.3%
3421 1
0.3%
3403 1
0.3%
3402 1
0.3%
3401 1
0.3%

연수신청대학교
Text

Distinct156
Distinct (%)53.4%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2023-12-12T23:06:17.343827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.7465753
Min length1

Characters and Unicode

Total characters1970
Distinct characters161
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)33.9%

Sample

1st row가천대학교
2nd row가천대학교
3rd row제주국제대학
4th row계명문화대학교
5th row남서울대학교
ValueCountFrequency (%)
초당대학교 16
 
5.2%
마산대학교 8
 
2.6%
학교법인 8
 
2.6%
한국열린사이버대학교 8
 
2.6%
가천대학교 7
 
2.3%
파주고등학교 6
 
1.9%
홍익대학교 6
 
1.9%
고려신학대학원 6
 
1.9%
연세대학교 6
 
1.9%
산학협력단 6
 
1.9%
Other values (145) 231
75.0%
2023-12-12T23:06:17.821739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 344
17.5%
대 287
 
14.6%
교 278
 
14.1%
원 52
 
2.6%
한 42
 
2.1%
국 40
 
2.0%
산 34
 
1.7%
신 22
 
1.1%
사 22
 
1.1%
고 22
 
1.1%
Other values (151) 827
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1938
98.4%
Space Separator 18
 
0.9%
Uppercase Letter 6
 
0.3%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 344
17.8%
대 287
 
14.8%
교 278
 
14.3%
원 52
 
2.7%
한 42
 
2.2%
국 40
 
2.1%
산 34
 
1.8%
신 22
 
1.1%
사 22
 
1.1%
고 22
 
1.1%
Other values (143) 795
41.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
33.3%
D 1
16.7%
K 1
16.7%
C 1
16.7%
T 1
16.7%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1938
98.4%
Common 26
 
1.3%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 344
17.8%
대 287
 
14.8%
교 278
 
14.3%
원 52
 
2.7%
한 42
 
2.2%
국 40
 
2.1%
산 34
 
1.8%
신 22
 
1.1%
사 22
 
1.1%
고 22
 
1.1%
Other values (143) 795
41.0%
Latin
ValueCountFrequency (%)
I 2
33.3%
D 1
16.7%
K 1
16.7%
C 1
16.7%
T 1
16.7%
Common
ValueCountFrequency (%)
18
69.2%
) 4
 
15.4%
( 4
 
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1938
98.4%
ASCII 32
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 344
17.8%
대 287
 
14.8%
교 278
 
14.3%
원 52
 
2.7%
한 42
 
2.2%
국 40
 
2.1%
산 34
 
1.8%
신 22
 
1.1%
사 22
 
1.1%
고 22
 
1.1%
Other values (143) 795
41.0%
ASCII
ValueCountFrequency (%)
18
56.2%
) 4
 
12.5%
( 4
 
12.5%
I 2
 
6.2%
D 1
 
3.1%
K 1
 
3.1%
C 1
 
3.1%
T 1
 
3.1%

학교주소
Text

Distinct143
Distinct (%)49.0%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2023-12-12T23:06:18.186896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length6.3150685
Min length1

Characters and Unicode

Total characters1844
Distinct characters152
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

Unique92 ?
Unique (%)31.5%

Sample

1st row경기도 성남시
2nd row경기도 성남시
3rd row제주특별자치도
4th row계명문화대학교
5th row충남 천안
ValueCountFrequency (%)
서울 63
 
11.8%
경기도 33
 
6.2%
서울시 20
 
3.7%
경북 13
 
2.4%
천안 12
 
2.2%
충남 12
 
2.2%
대구 10
 
1.9%
강원도 9
 
1.7%
경남 9
 
1.7%
광주광역시 9
 
1.7%
Other values (190) 345
64.5%
2023-12-12T23:06:18.684189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
14.0%
시 100
 
5.4%
서 95
 
5.2%
울 90
 
4.9%
경 89
 
4.8%
구 76
 
4.1%
남 64
 
3.5%
도 60
 
3.3%
기 41
 
2.2%
산 40
 
2.2%
Other values (142) 931
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1434
77.8%
Space Separator 258
 
14.0%
Decimal Number 140
 
7.6%
Dash Punctuation 10
 
0.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 100
 
7.0%
서 95
 
6.6%
울 90
 
6.3%
경 89
 
6.2%
구 76
 
5.3%
남 64
 
4.5%
도 60
 
4.2%
기 41
 
2.9%
산 40
 
2.8%
주 37
 
2.6%
Other values (128) 742
51.7%
Decimal Number
ValueCountFrequency (%)
1 25
17.9%
2 24
17.1%
3 16
11.4%
6 16
11.4%
0 15
10.7%
5 15
10.7%
4 10
 
7.1%
8 9
 
6.4%
9 7
 
5.0%
7 3
 
2.1%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1434
77.8%
Common 410
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 100
 
7.0%
서 95
 
6.6%
울 90
 
6.3%
경 89
 
6.2%
구 76
 
5.3%
남 64
 
4.5%
도 60
 
4.2%
기 41
 
2.9%
산 40
 
2.8%
주 37
 
2.6%
Other values (128) 742
51.7%
Common
ValueCountFrequency (%)
258
62.9%
1 25
 
6.1%
2 24
 
5.9%
3 16
 
3.9%
6 16
 
3.9%
0 15
 
3.7%
5 15
 
3.7%
- 10
 
2.4%
4 10
 
2.4%
8 9
 
2.2%
Other values (4) 12
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1434
77.8%
ASCII 410
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
62.9%
1 25
 
6.1%
2 24
 
5.9%
3 16
 
3.9%
6 16
 
3.9%
0 15
 
3.7%
5 15
 
3.7%
- 10
 
2.4%
4 10
 
2.4%
8 9
 
2.2%
Other values (4) 12
 
2.9%
Hangul
ValueCountFrequency (%)
시 100
 
7.0%
서 95
 
6.6%
울 90
 
6.3%
경 89
 
6.2%
구 76
 
5.3%
남 64
 
4.5%
도 60
 
4.2%
기 41
 
2.9%
산 40
 
2.8%
주 37
 
2.6%
Other values (128) 742
51.7%

신청권수
Real number (ℝ)

Distinct7
Distinct (%)2.4%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1.2910959
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T23:06:18.864110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.45
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0021572
Coefficient of variation (CV)0.77620664
Kurtosis43.107631
Mean1.2910959
Median Absolute Deviation (MAD)0
Skewness5.9287877
Sum377
Variance1.0043191
MonotonicityNot monotonic
2023-12-12T23:06:19.015260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 247
84.0%
2 30
 
10.2%
3 8
 
2.7%
5 3
 
1.0%
10 2
 
0.7%
4 1
 
0.3%
7 1
 
0.3%
(Missing) 2
 
0.7%
ValueCountFrequency (%)
1 247
84.0%
2 30
 
10.2%
3 8
 
2.7%
4 1
 
0.3%
5 3
 
1.0%
7 1
 
0.3%
10 2
 
0.7%
ValueCountFrequency (%)
10 2
 
0.7%
7 1
 
0.3%
5 3
 
1.0%
4 1
 
0.3%
3 8
 
2.7%
2 30
 
10.2%
1 247
84.0%

등록일
Date

Distinct170
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2015-06-12 00:00:00
Maximum2018-12-12 00:00:00
2023-12-12T23:06:19.183541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:19.391217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T23:06:16.052480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:15.810259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:16.196762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:06:15.951246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:06:19.547435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호신청권수
번호1.0000.213
신청권수0.2131.000
2023-12-12T23:06:19.657821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호신청권수
번호1.000-0.139
신청권수-0.1391.000

Missing values

2023-12-12T23:06:16.306101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:06:16.409348image/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.
2023-12-12T23:06:16.502738image/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

번호연수신청대학교학교주소신청권수등록일
041가천대학교경기도 성남시12015-06-25
1584가천대학교경기도 성남시12015-10-28
2861제주국제대학제주특별자치도12016-01-26
33462계명문화대학교계명문화대학교102018-12-12
42281남서울대학교충남 천안12017-09-12
5181충주성심학교충주12015-07-28
6261학교법인 웅지학원서울시 서대문구 창천동 37612015-08-17
7224대구보건대학교대구12015-08-07
8262학교법인 웅지학원서울12015-08-17
9263학교법인 웅지학원서울12015-08-17
번호연수신청대학교학교주소신청권수등록일
2841481포항공과대학교포항시 남구 청암로 7712016-09-22
2851661학교기업스텝디자인서울특별시12016-11-03
2861681고려대학교(대학사업팀)성북구 안암로 14512016-11-09
2872022고려신학대학원천안32017-04-28
2882023고려신학대학원천안12017-04-28
2892303경북도립대학교경상북도 예천군12017-09-15
2902701학교법인한영신학대학교서울 구로구22018-02-22
2912702학교법인 한영신학대학교서울 구로구12018-02-22
2922461전주비전대학교전북 전주12017-11-14
2933441동의대학교부산광역시52018-12-03