Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory54.1 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description해당 데이터는 인천광역시 남동구의 만수2동 어린이도서관 정기간행물 목록에 관련된 자료로서 만수2동 어린이도서관 정기간행물 목록의 연번, 주제, 분야, 간기, 간행물명, 출판사의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103951&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
간행물명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:16:08.508738
Analysis finished2024-03-18 05:16:09.085506
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
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
2024-03-18T14:16:09.143589image/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
2024-03-18T14:16:09.255267image/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%

주제
Categorical

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
사회과학
기술과학
언어
문학
자연과학
Other values (3)

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row기술과학
2nd row언어
3rd row사회과학
4th row사회과학
5th row자연과학

Common Values

ValueCountFrequency (%)
사회과학 6
23.1%
기술과학 5
19.2%
언어 4
15.4%
문학 4
15.4%
자연과학 2
 
7.7%
예술 2
 
7.7%
역사 2
 
7.7%
총류 1
 
3.8%

Length

2024-03-18T14:16:09.405981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:16:09.527819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회과학 6
23.1%
기술과학 5
19.2%
언어 4
15.4%
문학 4
15.4%
자연과학 2
 
7.7%
예술 2
 
7.7%
역사 2
 
7.7%
총류 1
 
3.8%

분야
Text

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-18T14:16:09.659806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.1153846
Min length2

Characters and Unicode

Total characters55
Distinct characters28
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

Unique11 ?
Unique (%)42.3%

Sample

1st row건강
2nd row영어
3rd row교육
4th row교육
5th row과학
ValueCountFrequency (%)
교육 5
19.2%
문학 4
15.4%
영어 2
 
7.7%
국어 2
 
7.7%
지리 2
 
7.7%
건강 1
 
3.8%
과학 1
 
3.8%
생활 1
 
3.8%
가정 1
 
3.8%
수학 1
 
3.8%
Other values (6) 6
23.1%
2024-03-18T14:16:09.961216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
10.9%
5
 
9.1%
5
 
9.1%
4
 
7.3%
4
 
7.3%
3
 
5.5%
2
 
3.6%
2
 
3.6%
2
 
3.6%
2
 
3.6%
Other values (18) 20
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54
98.2%
Other Punctuation 1
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
11.1%
5
 
9.3%
5
 
9.3%
4
 
7.4%
4
 
7.4%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
Other values (17) 19
35.2%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54
98.2%
Common 1
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
11.1%
5
 
9.3%
5
 
9.3%
4
 
7.4%
4
 
7.4%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
Other values (17) 19
35.2%
Common
ValueCountFrequency (%)
/ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54
98.2%
ASCII 1
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
11.1%
5
 
9.3%
5
 
9.3%
4
 
7.4%
4
 
7.4%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
Other values (17) 19
35.2%
ASCII
ValueCountFrequency (%)
/ 1
100.0%

간기
Categorical

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
월간
20 
계간
주간
 
2
격월간
 
1

Length

Max length3
Median length2
Mean length2.0384615
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row월간
2nd row월간
3rd row월간
4th row월간
5th row월간

Common Values

ValueCountFrequency (%)
월간 20
76.9%
계간 3
 
11.5%
주간 2
 
7.7%
격월간 1
 
3.8%

Length

2024-03-18T14:16:10.093102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:16:10.214389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월간 20
76.9%
계간 3
 
11.5%
주간 2
 
7.7%
격월간 1
 
3.8%

간행물명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-18T14:16:10.421799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.8461538
Min length2

Characters and Unicode

Total characters152
Distinct characters103
Distinct categories6 ?
Distinct scripts3 ?
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 row건강 다이제스트
2nd rowEBS FM 초급 영어회화
3rd row개똥이네 놀이터
4th row고래가 그랬어
5th row과학동아
ValueCountFrequency (%)
건강 1
 
2.8%
다이제스트 1
 
2.8%
수학동아 1
 
2.8%
시사원정대 1
 
2.8%
시사저널 1
 
2.8%
씨네21 1
 
2.8%
아망 1
 
2.8%
여행스케치 1
 
2.8%
악스트(axt 1
 
2.8%
우등생논술 1
 
2.8%
Other values (26) 26
72.2%
2024-03-18T14:16:10.748610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
6.6%
7
 
4.6%
5
 
3.3%
3
 
2.0%
) 3
 
2.0%
3
 
2.0%
( 3
 
2.0%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (93) 109
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
82.9%
Space Separator 10
 
6.6%
Uppercase Letter 8
 
5.3%
Close Punctuation 3
 
2.0%
Open Punctuation 3
 
2.0%
Decimal Number 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
5.6%
5
 
4.0%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
Other values (80) 92
73.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
12.5%
X 1
12.5%
A 1
12.5%
M 1
12.5%
F 1
12.5%
S 1
12.5%
B 1
12.5%
E 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
82.9%
Common 18
 
11.8%
Latin 8
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
5.6%
5
 
4.0%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
Other values (80) 92
73.0%
Latin
ValueCountFrequency (%)
T 1
12.5%
X 1
12.5%
A 1
12.5%
M 1
12.5%
F 1
12.5%
S 1
12.5%
B 1
12.5%
E 1
12.5%
Common
ValueCountFrequency (%)
10
55.6%
) 3
 
16.7%
( 3
 
16.7%
1 1
 
5.6%
2 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
82.9%
ASCII 26
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10
38.5%
) 3
 
11.5%
( 3
 
11.5%
1 1
 
3.8%
2 1
 
3.8%
T 1
 
3.8%
X 1
 
3.8%
A 1
 
3.8%
M 1
 
3.8%
F 1
 
3.8%
Other values (3) 3
 
11.5%
Hangul
ValueCountFrequency (%)
7
 
5.6%
5
 
4.0%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
2
 
1.6%
2
 
1.6%
Other values (80) 92
73.0%
Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-18T14:16:10.941224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7.5
Mean length5.6153846
Min length2

Characters and Unicode

Total characters146
Distinct characters74
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row건강다이제스트
2nd row두산동아편집부
3rd row보리
4th row(주)고래가그랬어
5th row동아사이언스
ValueCountFrequency (%)
편집부 5
 
16.1%
동아사이언스 2
 
6.5%
지학사 2
 
6.5%
하이미디어 1
 
3.2%
건강다이제스트 1
 
3.2%
씨네21 1
 
3.2%
좋은생각 1
 
3.2%
전원속의내집 1
 
3.2%
교원 1
 
3.2%
로드에이비씨미디어 1
 
3.2%
Other values (15) 15
48.4%
2024-03-18T14:16:11.246077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
6.2%
8
 
5.5%
7
 
4.8%
7
 
4.8%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
Other values (64) 85
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
93.8%
Space Separator 5
 
3.4%
Decimal Number 2
 
1.4%
Open Punctuation 1
 
0.7%
Close Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9
 
6.6%
8
 
5.8%
7
 
5.1%
7
 
5.1%
6
 
4.4%
5
 
3.6%
5
 
3.6%
5
 
3.6%
4
 
2.9%
3
 
2.2%
Other values (59) 78
56.9%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
93.8%
Common 9
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9
 
6.6%
8
 
5.8%
7
 
5.1%
7
 
5.1%
6
 
4.4%
5
 
3.6%
5
 
3.6%
5
 
3.6%
4
 
2.9%
3
 
2.2%
Other values (59) 78
56.9%
Common
ValueCountFrequency (%)
5
55.6%
( 1
 
11.1%
2 1
 
11.1%
1 1
 
11.1%
) 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
93.8%
ASCII 9
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9
 
6.6%
8
 
5.8%
7
 
5.1%
7
 
5.1%
6
 
4.4%
5
 
3.6%
5
 
3.6%
5
 
3.6%
4
 
2.9%
3
 
2.2%
Other values (59) 78
56.9%
ASCII
ValueCountFrequency (%)
5
55.6%
( 1
 
11.1%
2 1
 
11.1%
1 1
 
11.1%
) 1
 
11.1%

Interactions

2024-03-18T14:16:08.839864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:16:11.328990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주제분야간기간행물명출판사
연번1.0000.0000.0000.1991.0000.798
주제0.0001.0001.0000.7911.0001.000
분야0.0001.0001.0000.7641.0000.950
간기0.1990.7910.7641.0001.0001.000
간행물명1.0001.0001.0001.0001.0001.000
출판사0.7981.0000.9501.0001.0001.000
2024-03-18T14:16:11.423256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주제간기
주제1.0000.402
간기0.4021.000
2024-03-18T14:16:11.497876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주제간기
연번1.0000.1240.239
주제0.1241.0000.402
간기0.2390.4021.000

Missing values

2024-03-18T14:16:08.959233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:16:09.048982image/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

연번주제분야간기간행물명출판사
01기술과학건강월간건강 다이제스트건강다이제스트
12언어영어월간EBS FM 초급 영어회화두산동아편집부
23사회과학교육월간개똥이네 놀이터보리
34사회과학교육월간고래가 그랬어(주)고래가그랬어
45자연과학과학월간과학동아동아사이언스
56문학문학계간뉴필로소퍼바다출판사
67언어영어월간굿모닝팝스한국방송출판
78언어국어월간독서평설(중등)지학사
89언어국어월간독서평설(초등)지학사
910기술과학생활월간브라보 마이 라이프이투데이
연번주제분야간기간행물명출판사
1617기술과학유아/아동월간아망아망 편집부
1718역사지리월간여행스케치하이미디어 편집부
1819문학문학격월간악스트(AXT)매직사이언스
1920사회과학교육월간우등생논술천재교육
2021예술취미월간월간 바둑한국기원
2122역사지리월간에이비로드로드에이비씨미디어
2223사회과학교육월간위즈키즈교원
2324기술과학건축월간전원속의 내집전원속의내집 편집부
2425총류일반월간좋은생각좋은생각 편집부
2526문학문학계간창비어린이창비