Overview

Dataset statistics

Number of variables4
Number of observations32
Missing cells2
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.1 B

Variable types

Text2
Categorical2

Dataset

Description경기도 행정도서관 구독목록 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=SYYL5OZ4YWZXLUOOSWFR19052327&infSeq=1

Alerts

간행물명 has 1 (3.1%) missing valuesMissing
출판사명 has 1 (3.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:15:38.720333
Analysis finished2023-12-10 22:15:39.123467
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

간행물명
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Memory size388.0 B
2023-12-11T07:15:39.253797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5
Min length2

Characters and Unicode

Total characters155
Distinct characters92
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

Unique31 ?
Unique (%)100.0%

Sample

1st row시사저널
2nd row이코노미스트
3rd row씨네21
4th row매거진B
5th row문학동네
ValueCountFrequency (%)
photo 2
 
5.1%
시사저널 1
 
2.6%
경기 1
 
2.6%
월간조선 1
 
2.6%
한겨레21 1
 
2.6%
매경 1
 
2.6%
이코노미 1
 
2.6%
주간경향 1
 
2.6%
주간조선 1
 
2.6%
기호 1
 
2.6%
Other values (28) 28
71.8%
2023-12-11T07:15:39.602428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
5.2%
경 6
 
3.9%
이 5
 
3.2%
기 5
 
3.2%
간 4
 
2.6%
o 4
 
2.6%
과 4
 
2.6%
네 3
 
1.9%
학 3
 
1.9%
의 3
 
1.9%
Other values (82) 110
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
85.2%
Space Separator 8
 
5.2%
Lowercase Letter 8
 
5.2%
Decimal Number 4
 
2.6%
Uppercase Letter 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 6
 
4.5%
이 5
 
3.8%
기 5
 
3.8%
간 4
 
3.0%
과 4
 
3.0%
네 3
 
2.3%
학 3
 
2.3%
의 3
 
2.3%
평 2
 
1.5%
주 2
 
1.5%
Other values (74) 95
72.0%
Lowercase Letter
ValueCountFrequency (%)
o 4
50.0%
t 2
25.0%
h 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
66.7%
B 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
85.2%
Common 12
 
7.7%
Latin 11
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 6
 
4.5%
이 5
 
3.8%
기 5
 
3.8%
간 4
 
3.0%
과 4
 
3.0%
네 3
 
2.3%
학 3
 
2.3%
의 3
 
2.3%
평 2
 
1.5%
주 2
 
1.5%
Other values (74) 95
72.0%
Latin
ValueCountFrequency (%)
o 4
36.4%
t 2
18.2%
h 2
18.2%
P 2
18.2%
B 1
 
9.1%
Common
ValueCountFrequency (%)
8
66.7%
2 2
 
16.7%
1 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
85.2%
ASCII 23
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8
34.8%
o 4
17.4%
t 2
 
8.7%
h 2
 
8.7%
P 2
 
8.7%
2 2
 
8.7%
1 2
 
8.7%
B 1
 
4.3%
Hangul
ValueCountFrequency (%)
경 6
 
4.5%
이 5
 
3.8%
기 5
 
3.8%
간 4
 
3.0%
과 4
 
3.0%
네 3
 
2.3%
학 3
 
2.3%
의 3
 
2.3%
평 2
 
1.5%
주 2
 
1.5%
Other values (74) 95
72.0%

출판사명
Text

MISSING 

Distinct27
Distinct (%)87.1%
Missing1
Missing (%)3.1%
Memory size388.0 B
2023-12-11T07:15:39.766939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.2903226
Min length2

Characters and Unicode

Total characters164
Distinct characters79
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)74.2%

Sample

1st row시사저널사
2nd row이데일리M
3rd row씨네21사
4th row비미디어컴퍼니
5th row문학동네사
ValueCountFrequency (%)
조선뉴스프레스 2
 
6.5%
동아사이언스 2
 
6.5%
경기도 2
 
6.5%
경기일보 2
 
6.5%
교원 1
 
3.2%
문화체육관광부 1
 
3.2%
산림조합 1
 
3.2%
한국언론진흥재단 1
 
3.2%
경기도의회사무처 1
 
3.2%
중앙일보시사미디어 1
 
3.2%
Other values (17) 17
54.8%
2023-12-11T07:15:40.058311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 14
 
8.5%
스 7
 
4.3%
경 7
 
4.3%
일 6
 
3.7%
문 6
 
3.7%
기 6
 
3.7%
이 5
 
3.0%
보 5
 
3.0%
디 4
 
2.4%
조 3
 
1.8%
Other values (69) 101
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
97.0%
Other Punctuation 2
 
1.2%
Decimal Number 2
 
1.2%
Uppercase Letter 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 14
 
8.8%
스 7
 
4.4%
경 7
 
4.4%
일 6
 
3.8%
문 6
 
3.8%
기 6
 
3.8%
이 5
 
3.1%
보 5
 
3.1%
디 4
 
2.5%
조 3
 
1.9%
Other values (65) 96
60.4%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
97.0%
Common 4
 
2.4%
Latin 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 14
 
8.8%
스 7
 
4.4%
경 7
 
4.4%
일 6
 
3.8%
문 6
 
3.8%
기 6
 
3.8%
이 5
 
3.1%
보 5
 
3.1%
디 4
 
2.5%
조 3
 
1.9%
Other values (65) 96
60.4%
Common
ValueCountFrequency (%)
, 2
50.0%
1 1
25.0%
2 1
25.0%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
97.0%
ASCII 5
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 14
 
8.8%
스 7
 
4.4%
경 7
 
4.4%
일 6
 
3.8%
문 6
 
3.8%
기 6
 
3.8%
이 5
 
3.1%
보 5
 
3.1%
디 4
 
2.5%
조 3
 
1.9%
Other values (65) 96
60.4%
ASCII
ValueCountFrequency (%)
, 2
40.0%
1 1
20.0%
2 1
20.0%
M 1
20.0%

간행주기명
Categorical

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
월간
22 
주간
5 
계간
3 
호간
 
1
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0625
Min length2

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row주간
2nd row주간
3rd row주간
4th row호간
5th row계간

Common Values

ValueCountFrequency (%)
월간 22
68.8%
주간 5
 
15.6%
계간 3
 
9.4%
호간 1
 
3.1%
<NA> 1
 
3.1%

Length

2023-12-11T07:15:40.204205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:40.336658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월간 22
68.8%
주간 5
 
15.6%
계간 3
 
9.4%
호간 1
 
3.1%
na 1
 
3.1%

분야명
Categorical

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
시사경제
8 
취미
5 
교양
4 
지방행정
4 
어린이
3 
Other values (4)
8 

Length

Max length4
Median length4
Mean length3.25
Min length2

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st row시사경제
2nd row취미
3rd row취미
4th row취미
5th row취미

Common Values

ValueCountFrequency (%)
시사경제 8
25.0%
취미 5
15.6%
교양 4
12.5%
지방행정 4
12.5%
어린이 3
 
9.4%
경기도 3
 
9.4%
공공기관 3
 
9.4%
문화예술 1
 
3.1%
<NA> 1
 
3.1%

Length

2023-12-11T07:15:40.446608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:15:40.569302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시사경제 8
25.0%
취미 5
15.6%
교양 4
12.5%
지방행정 4
12.5%
어린이 3
 
9.4%
경기도 3
 
9.4%
공공기관 3
 
9.4%
문화예술 1
 
3.1%
na 1
 
3.1%

Correlations

2023-12-11T07:15:40.669821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
간행물명출판사명간행주기명분야명
간행물명1.0001.0001.0001.000
출판사명1.0001.0001.0000.980
간행주기명1.0001.0001.0000.000
분야명1.0000.9800.0001.000
2023-12-11T07:15:40.764435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
간행주기명분야명
간행주기명1.0000.000
분야명0.0001.000
2023-12-11T07:15:41.073608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
간행주기명분야명
간행주기명1.0000.000
분야명0.0001.000

Missing values

2023-12-11T07:15:38.924064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:15:38.994803image/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.
2023-12-11T07:15:39.071727image/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

간행물명출판사명간행주기명분야명
0시사저널시사저널사주간시사경제
1이코노미스트이데일리M주간취미
2씨네21씨네21사주간취미
3매거진B비미디어컴퍼니호간취미
4문학동네문학동네사계간취미
5내셔널 지오그래픽와이비엠사월간취미
6창작과비평주,창비사월간교양
7보그두산매거진월간교양
8여행스케치하이미디어월간교양
9전원 속의 내집주택문화사월간교양
간행물명출판사명간행주기명분야명
22Photo 기호기호일보주간지방행정
23월간중앙중앙일보시사미디어월간지방행정
24지방시대경기일보월간지방행정
25경기인경기도월간경기도
26경기도의회경기도의회사무처계간경기도
27나의경기도경기도월간경기도
28신문과방송한국언론진흥재단월간공공기관
29산림산림조합월간공공기관
30공감문화체육관광부주간공공기관
31<NA><NA><NA><NA>