Overview

Dataset statistics

Number of variables6
Number of observations33
Missing cells33
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory52.9 B

Variable types

Categorical1
Text4
Numeric1

Dataset

Description부산광역시 동래구 관내 작은도서관 현황에 대한 데이터로 구분, 작은도서관명, 소재지 주소, 운영시간, 면적(제곱미터), 비고 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/15116763/fileData.do

Alerts

비고 has constant value ""Constant
구분 is highly imbalanced (80.4%)Imbalance
운영시간 has 1 (3.0%) missing valuesMissing
비고 has 32 (97.0%) missing valuesMissing
작은도서관명 has unique valuesUnique
소재지 주소 has unique valuesUnique

Reproduction

Analysis started2024-04-20 17:10:32.176386
Analysis finished2024-04-20 17:10:33.185426
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size392.0 B
사립
32 
공립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 32
97.0%
공립 1
 
3.0%

Length

2024-04-21T02:10:33.292727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T02:10:33.460784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 32
97.0%
공립 1
 
3.0%

작은도서관명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-04-21T02:10:34.076437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.30303
Min length7

Characters and Unicode

Total characters373
Distinct characters86
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

Unique33 ?
Unique (%)100.0%

Sample

1st row구세군 작은도서관
2nd row그루터기 작은도서관
3rd row명륜도서관(지역아동센터)
4th row명륜동 새마을문고
5th row명장1동 새마을문고
ValueCountFrequency (%)
작은도서관 12
 
18.8%
새마을문고 11
 
17.2%
파이 1
 
1.6%
책마을 1
 
1.6%
햇빛작은도서관 1
 
1.6%
오른발왼발 1
 
1.6%
동래나래 1
 
1.6%
꿈도서관 1
 
1.6%
명륜아이파크 1
 
1.6%
동래동일스위트 1
 
1.6%
Other values (33) 33
51.6%
2024-04-21T02:10:34.964531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
8.3%
관 22
 
5.9%
도 22
 
5.9%
서 22
 
5.9%
은 21
 
5.6%
작 20
 
5.4%
동 19
 
5.1%
을 15
 
4.0%
마 15
 
4.0%
고 14
 
3.8%
Other values (76) 172
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
86.6%
Space Separator 31
 
8.3%
Decimal Number 10
 
2.7%
Close Punctuation 4
 
1.1%
Open Punctuation 4
 
1.1%
Lowercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 22
 
6.8%
도 22
 
6.8%
서 22
 
6.8%
은 21
 
6.5%
작 20
 
6.2%
동 19
 
5.9%
을 15
 
4.6%
마 15
 
4.6%
고 14
 
4.3%
문 13
 
4.0%
Other values (69) 140
43.3%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
2 4
40.0%
3 2
20.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
86.6%
Common 49
 
13.1%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 22
 
6.8%
도 22
 
6.8%
서 22
 
6.8%
은 21
 
6.5%
작 20
 
6.2%
동 19
 
5.9%
을 15
 
4.6%
마 15
 
4.6%
고 14
 
4.3%
문 13
 
4.0%
Other values (69) 140
43.3%
Common
ValueCountFrequency (%)
31
63.3%
1 4
 
8.2%
2 4
 
8.2%
) 4
 
8.2%
( 4
 
8.2%
3 2
 
4.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
86.6%
ASCII 50
 
13.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
62.0%
1 4
 
8.0%
2 4
 
8.0%
) 4
 
8.0%
( 4
 
8.0%
3 2
 
4.0%
e 1
 
2.0%
Hangul
ValueCountFrequency (%)
관 22
 
6.8%
도 22
 
6.8%
서 22
 
6.8%
은 21
 
6.5%
작 20
 
6.2%
동 19
 
5.9%
을 15
 
4.6%
마 15
 
4.6%
고 14
 
4.3%
문 13
 
4.0%
Other values (69) 140
43.3%

소재지 주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size392.0 B
2024-04-21T02:10:35.905704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length30.363636
Min length17

Characters and Unicode

Total characters1002
Distinct characters124
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 안남로 67-6 구세군동래교회 2층
2nd row부산광역시 동래구 여고북로 199 새소망교회 3층
3rd row부산광역시 동래구 명륜로 210 3층
4th row부산광역시 동래구 명륜로 207번길 26 명륜동 행정복지센터 1,3층
5th row부산광역시 동래구 명장로 32 명장1동 행정복지센터 1층
ValueCountFrequency (%)
부산광역시 33
 
16.0%
동래구 33
 
16.0%
행정복지센터 12
 
5.8%
2층 6
 
2.9%
3층 6
 
2.9%
1층 5
 
2.4%
명륜로 4
 
1.9%
아시아드대로 3
 
1.5%
시실로 3
 
1.5%
명장로 2
 
1.0%
Other values (98) 99
48.1%
2024-04-21T02:10:37.078265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
 
17.4%
동 54
 
5.4%
1 43
 
4.3%
시 41
 
4.1%
래 39
 
3.9%
구 34
 
3.4%
산 34
 
3.4%
부 33
 
3.3%
광 33
 
3.3%
역 33
 
3.3%
Other values (114) 484
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 662
66.1%
Space Separator 174
 
17.4%
Decimal Number 159
 
15.9%
Dash Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%
Lowercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
8.2%
시 41
 
6.2%
래 39
 
5.9%
구 34
 
5.1%
산 34
 
5.1%
부 33
 
5.0%
광 33
 
5.0%
역 33
 
5.0%
로 33
 
5.0%
층 21
 
3.2%
Other values (98) 307
46.4%
Decimal Number
ValueCountFrequency (%)
1 43
27.0%
2 29
18.2%
3 22
13.8%
0 14
 
8.8%
9 11
 
6.9%
6 11
 
6.9%
7 11
 
6.9%
8 7
 
4.4%
4 7
 
4.4%
5 4
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 662
66.1%
Common 337
33.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
8.2%
시 41
 
6.2%
래 39
 
5.9%
구 34
 
5.1%
산 34
 
5.1%
부 33
 
5.0%
광 33
 
5.0%
역 33
 
5.0%
로 33
 
5.0%
층 21
 
3.2%
Other values (98) 307
46.4%
Common
ValueCountFrequency (%)
174
51.6%
1 43
 
12.8%
2 29
 
8.6%
3 22
 
6.5%
0 14
 
4.2%
9 11
 
3.3%
6 11
 
3.3%
7 11
 
3.3%
8 7
 
2.1%
4 7
 
2.1%
Other values (3) 8
 
2.4%
Latin
ValueCountFrequency (%)
S 1
33.3%
e 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 662
66.1%
ASCII 340
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
51.2%
1 43
 
12.6%
2 29
 
8.5%
3 22
 
6.5%
0 14
 
4.1%
9 11
 
3.2%
6 11
 
3.2%
7 11
 
3.2%
8 7
 
2.1%
4 7
 
2.1%
Other values (6) 11
 
3.2%
Hangul
ValueCountFrequency (%)
동 54
 
8.2%
시 41
 
6.2%
래 39
 
5.9%
구 34
 
5.1%
산 34
 
5.1%
부 33
 
5.0%
광 33
 
5.0%
역 33
 
5.0%
로 33
 
5.0%
층 21
 
3.2%
Other values (98) 307
46.4%

운영시간
Text

MISSING 

Distinct23
Distinct (%)71.9%
Missing1
Missing (%)3.0%
Memory size392.0 B
2024-04-21T02:10:37.734098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length16
Mean length20.875
Min length16

Characters and Unicode

Total characters668
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)59.4%

Sample

1st row화~금(10:00~17:00), 토~일(10:00~16:00)
2nd row화~일(09:00~14:00)
3rd row월~금(12:00~21:00)
4th row월~금(09:00~18:00)
5th row월~금(09:00~18:00)
ValueCountFrequency (%)
월~금(09:00~18:00 7
 
15.6%
월~토(09:00~18:00 2
 
4.4%
화~금(14:00~17:00 2
 
4.4%
월~일(09:00~18:00 2
 
4.4%
토(10:00~12:00 2
 
4.4%
월~금(14:00~18:00 2
 
4.4%
화~일(09:00~11:00 1
 
2.2%
목~금(10:00~12:00 1
 
2.2%
14:00~18:00 1
 
2.2%
화~토(13:00~20:00 1
 
2.2%
Other values (24) 24
53.3%
2024-04-21T02:10:38.709579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 187
28.0%
: 82
12.3%
~ 75
11.2%
1 65
 
9.7%
( 39
 
5.8%
) 39
 
5.8%
월 23
 
3.4%
금 22
 
3.3%
9 18
 
2.7%
8 18
 
2.7%
Other values (15) 100
15.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 328
49.1%
Other Punctuation 93
 
13.9%
Other Letter 79
 
11.8%
Math Symbol 75
 
11.2%
Open Punctuation 39
 
5.8%
Close Punctuation 39
 
5.8%
Space Separator 15
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 187
57.0%
1 65
 
19.8%
9 18
 
5.5%
8 18
 
5.5%
2 11
 
3.4%
4 9
 
2.7%
3 9
 
2.7%
7 7
 
2.1%
6 3
 
0.9%
5 1
 
0.3%
Other Letter
ValueCountFrequency (%)
월 23
29.1%
금 22
27.8%
화 11
13.9%
토 10
12.7%
일 7
 
8.9%
수 2
 
2.5%
목 2
 
2.5%
요 1
 
1.3%
및 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 82
88.2%
, 11
 
11.8%
Math Symbol
ValueCountFrequency (%)
~ 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 589
88.2%
Hangul 79
 
11.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 187
31.7%
: 82
13.9%
~ 75
12.7%
1 65
 
11.0%
( 39
 
6.6%
) 39
 
6.6%
9 18
 
3.1%
8 18
 
3.1%
15
 
2.5%
2 11
 
1.9%
Other values (6) 40
 
6.8%
Hangul
ValueCountFrequency (%)
월 23
29.1%
금 22
27.8%
화 11
13.9%
토 10
12.7%
일 7
 
8.9%
수 2
 
2.5%
목 2
 
2.5%
요 1
 
1.3%
및 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 589
88.2%
Hangul 79
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 187
31.7%
: 82
13.9%
~ 75
12.7%
1 65
 
11.0%
( 39
 
6.6%
) 39
 
6.6%
9 18
 
3.1%
8 18
 
3.1%
15
 
2.5%
2 11
 
1.9%
Other values (6) 40
 
6.8%
Hangul
ValueCountFrequency (%)
월 23
29.1%
금 22
27.8%
화 11
13.9%
토 10
12.7%
일 7
 
8.9%
수 2
 
2.5%
목 2
 
2.5%
요 1
 
1.3%
및 1
 
1.3%

면적(제곱미터)
Real number (ℝ)

Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.810967
Minimum33
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size425.0 B
2024-04-21T02:10:39.082940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile33
Q138.5502
median63
Q3105.08
95-th percentile177.808
Maximum205
Range172
Interquartile range (IQR)66.5298

Descriptive statistics

Standard deviation49.740792
Coefficient of variation (CV)0.63114048
Kurtosis0.70568368
Mean78.810967
Median Absolute Deviation (MAD)29.7
Skewness1.2007988
Sum2600.7619
Variance2474.1463
MonotonicityNot monotonic
2024-04-21T02:10:39.473437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
33.0 5
 
15.2%
66.0 2
 
6.1%
92.4 1
 
3.0%
52.28 1
 
3.0%
105.08 1
 
3.0%
38.5502 1
 
3.0%
156.06 1
 
3.0%
100.0217 1
 
3.0%
138.87 1
 
3.0%
95.68 1
 
3.0%
Other values (18) 18
54.5%
ValueCountFrequency (%)
33.0 5
15.2%
33.3 1
 
3.0%
34.8 1
 
3.0%
35.0 1
 
3.0%
38.5502 1
 
3.0%
39.0 1
 
3.0%
42.84 1
 
3.0%
45.0 1
 
3.0%
51.32 1
 
3.0%
52.28 1
 
3.0%
ValueCountFrequency (%)
205.0 1
3.0%
204.61 1
3.0%
159.94 1
3.0%
156.06 1
3.0%
138.87 1
3.0%
134.4 1
3.0%
107.44 1
3.0%
106.6 1
3.0%
105.08 1
3.0%
100.0217 1
3.0%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing32
Missing (%)97.0%
Memory size392.0 B
2024-04-21T02:10:39.893368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row개관 준비 중
ValueCountFrequency (%)
개관 1
33.3%
준비 1
33.3%
중 1
33.3%
2024-04-21T02:10:40.475891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
28.6%
개 1
14.3%
관 1
14.3%
준 1
14.3%
비 1
14.3%
중 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
71.4%
Space Separator 2
 
28.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 1
20.0%
관 1
20.0%
준 1
20.0%
비 1
20.0%
중 1
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
71.4%
Common 2
 
28.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 1
20.0%
관 1
20.0%
준 1
20.0%
비 1
20.0%
중 1
20.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
71.4%
ASCII 2
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2
100.0%
Hangul
ValueCountFrequency (%)
개 1
20.0%
관 1
20.0%
준 1
20.0%
비 1
20.0%
중 1
20.0%

Interactions

2024-04-21T02:10:32.567477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T02:10:40.618549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분작은도서관명소재지 주소운영시간면적(제곱미터)
구분1.0001.0001.0001.0000.304
작은도서관명1.0001.0001.0001.0001.000
소재지 주소1.0001.0001.0001.0001.000
운영시간1.0001.0001.0001.0000.916
면적(제곱미터)0.3041.0001.0000.9161.000
2024-04-21T02:10:40.778243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)구분
면적(제곱미터)1.0000.254
구분0.2541.000

Missing values

2024-04-21T02:10:32.768236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T02:10:32.956640image/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.
2024-04-21T02:10:33.108618image/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

구분작은도서관명소재지 주소운영시간면적(제곱미터)비고
0사립구세군 작은도서관부산광역시 동래구 안남로 67-6 구세군동래교회 2층화~금(10:00~17:00), 토~일(10:00~16:00)92.4<NA>
1사립그루터기 작은도서관부산광역시 동래구 여고북로 199 새소망교회 3층화~일(09:00~14:00)59.8<NA>
2사립명륜도서관(지역아동센터)부산광역시 동래구 명륜로 210 3층월~금(12:00~21:00)134.4<NA>
3사립명륜동 새마을문고부산광역시 동래구 명륜로 207번길 26 명륜동 행정복지센터 1,3층월~금(09:00~18:00)33.0<NA>
4사립명장1동 새마을문고부산광역시 동래구 명장로 32 명장1동 행정복지센터 1층월~금(09:00~18:00)33.0<NA>
5사립모퉁이작은도서관부산광역시 동래구 여고로51번길 30 아름다운교회화~토(10:00~18:00)204.61<NA>
6사립법륜지혜 작은도서관부산광역시 동래구 동래로160 법륜유치원월~금(08:00~17:00)63.0<NA>
7사립복산동 새마을문고부산광역시 동래구 복천로 1 복산동 행정복지센터 3층화~일(16:00~23:00)205.0<NA>
8사립사랑의샘작은도서관(지역아동센터)부산광역시 동래구 쇠미로221번길3 2층월~금(10:00~19:00), 토(11:00~16:00)51.32<NA>
9사립사직1동 새마을문고부산광역시 동래구 석사로 19 사직1동 행정복지센터 1층월~금(09:00~18:00)34.8<NA>
구분작은도서관명소재지 주소운영시간면적(제곱미터)비고
23사립오른발왼발 작은도서관부산광역시 동래구 안락로 136 리드앤톡 영어학원 3층화~토(13:00~20:00)39.0<NA>
24사립동래나래 꿈도서관부산광역시 동래구 시실로 129 동래안전드림센터 3층월~토(09:00~18:00)59.17<NA>
25사립명륜아이파크 작은도서관부산광역시 동래구 명륜로 170 명륜아이파크 커뮤니티실화~일(09:00~11:00, 19:00~21:00)68.0<NA>
26사립동래동일스위트 작은도서관부산광역시 동래구 시실로 119<NA>95.68개관 준비 중
27사립하랑작은도서관부산광역시 동래구 미남로 28-1 3층화~금(14:00~17:00)138.87<NA>
28사립파이 작은도서관부산광역시 동래구 명륜로 177번길 6-10월~일(09:00~18:00)66.0<NA>
29사립힐스테이트 명륜 트라디움 작은도서관부산광역시 동래구 동래로57번길 94 힐스테이트 명륜 트라디움 210동월~일(09:00~18:00)100.0217<NA>
30사립e편한세상 동래명장 작은도서관부산광역시 동래구 명장로 65 e편한세상 동래명장월~금(14:00~18:00), 토(10:00~12:00)156.06<NA>
31사립더 플래티넘 사직 아시아드 작은도서관부산광역시 동래구 아시아드대로 134번길 14 쌍용더플래티넘 사직아시아드화, 목(14:00~17:30) 및 수, 토(09:30~13:00)38.5502<NA>
32공립온고지신작은도서관부산광역시 동래구 충렬대로126번길 39월~금(09:00~22:00)105.08<NA>