Overview

Dataset statistics

Number of variables6
Number of observations34
Missing cells34
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory52.9 B

Variable types

Categorical1
Text4
Numeric1

Dataset

Description부산광역시동래구_작은도서관현황_20230718
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15116763

Alerts

비고 has constant value ""Constant
구분 is highly imbalanced (80.9%)Imbalance
운영시간 has 1 (2.9%) missing valuesMissing
비고 has 33 (97.1%) missing valuesMissing
작은도서관명 has unique valuesUnique
소재지 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:48:25.404431
Analysis finished2023-12-10 17:48:27.090763
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
사립
33 
공립
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
사립 33
97.1%
공립 1
 
2.9%

Length

2023-12-11T02:48:27.265831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:48:27.539959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 33
97.1%
공립 1
 
2.9%

작은도서관명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:48:27.941637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length11.352941
Min length7

Characters and Unicode

Total characters386
Distinct characters91
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

Unique34 ?
Unique (%)100.0%

Sample

1st row구세군 작은도서관
2nd row그루터기 작은도서관
3rd row명륜도서관(지역아동센터)
4th row명륜동 새마을문고
5th row명장1동 새마을문고
ValueCountFrequency (%)
작은도서관 13
 
19.7%
새마을문고 11
 
16.7%
하랑작은도서관 1
 
1.5%
사직 1
 
1.5%
아시아드 1
 
1.5%
e편한세상 1
 
1.5%
동래명장 1
 
1.5%
힐스테이트 1
 
1.5%
명륜 1
 
1.5%
트라디움 1
 
1.5%
Other values (34) 34
51.5%
2023-12-11T02:48:28.711898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
8.3%
도 23
 
6.0%
서 23
 
6.0%
관 23
 
6.0%
은 22
 
5.7%
작 21
 
5.4%
동 20
 
5.2%
마 15
 
3.9%
을 15
 
3.9%
고 14
 
3.6%
Other values (81) 178
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
86.8%
Space Separator 32
 
8.3%
Decimal Number 10
 
2.6%
Close Punctuation 4
 
1.0%
Open Punctuation 4
 
1.0%
Lowercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 23
 
6.9%
서 23
 
6.9%
관 23
 
6.9%
은 22
 
6.6%
작 21
 
6.3%
동 20
 
6.0%
마 15
 
4.5%
을 15
 
4.5%
고 14
 
4.2%
문 13
 
3.9%
Other values (74) 146
43.6%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 4
40.0%
3 2
20.0%
Space Separator
ValueCountFrequency (%)
32
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 335
86.8%
Common 50
 
13.0%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 23
 
6.9%
서 23
 
6.9%
관 23
 
6.9%
은 22
 
6.6%
작 21
 
6.3%
동 20
 
6.0%
마 15
 
4.5%
을 15
 
4.5%
고 14
 
4.2%
문 13
 
3.9%
Other values (74) 146
43.6%
Common
ValueCountFrequency (%)
32
64.0%
) 4
 
8.0%
( 4
 
8.0%
2 4
 
8.0%
1 4
 
8.0%
3 2
 
4.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
86.8%
ASCII 51
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
62.7%
) 4
 
7.8%
( 4
 
7.8%
2 4
 
7.8%
1 4
 
7.8%
3 2
 
3.9%
e 1
 
2.0%
Hangul
ValueCountFrequency (%)
도 23
 
6.9%
서 23
 
6.9%
관 23
 
6.9%
은 22
 
6.6%
작 21
 
6.3%
동 20
 
6.0%
마 15
 
4.5%
을 15
 
4.5%
고 14
 
4.2%
문 13
 
3.9%
Other values (74) 146
43.6%

소재지 주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:48:29.454578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34.5
Mean length30.235294
Min length17

Characters and Unicode

Total characters1028
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

Unique34 ?
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 34
 
16.0%
동래구 34
 
16.0%
행정복지센터 12
 
5.7%
3층 7
 
3.3%
2층 6
 
2.8%
1층 5
 
2.4%
명륜로 4
 
1.9%
시실로 3
 
1.4%
아시아드대로 3
 
1.4%
명장로 2
 
0.9%
Other values (100) 102
48.1%
2023-12-11T02:48:30.425066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
17.4%
동 56
 
5.4%
1 46
 
4.5%
시 42
 
4.1%
래 40
 
3.9%
구 35
 
3.4%
산 35
 
3.4%
부 34
 
3.3%
광 34
 
3.3%
역 34
 
3.3%
Other values (114) 493
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
65.8%
Space Separator 179
 
17.4%
Decimal Number 166
 
16.1%
Dash Punctuation 3
 
0.3%
Uppercase Letter 2
 
0.2%
Other Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
8.3%
시 42
 
6.2%
래 40
 
5.9%
구 35
 
5.2%
산 35
 
5.2%
부 34
 
5.0%
광 34
 
5.0%
역 34
 
5.0%
로 34
 
5.0%
층 22
 
3.3%
Other values (98) 310
45.9%
Decimal Number
ValueCountFrequency (%)
1 46
27.7%
2 29
17.5%
3 23
13.9%
0 15
 
9.0%
6 12
 
7.2%
7 11
 
6.6%
9 11
 
6.6%
8 7
 
4.2%
4 7
 
4.2%
5 5
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
65.8%
Common 349
33.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
8.3%
시 42
 
6.2%
래 40
 
5.9%
구 35
 
5.2%
산 35
 
5.2%
부 34
 
5.0%
광 34
 
5.0%
역 34
 
5.0%
로 34
 
5.0%
층 22
 
3.3%
Other values (98) 310
45.9%
Common
ValueCountFrequency (%)
179
51.3%
1 46
 
13.2%
2 29
 
8.3%
3 23
 
6.6%
0 15
 
4.3%
6 12
 
3.4%
7 11
 
3.2%
9 11
 
3.2%
8 7
 
2.0%
4 7
 
2.0%
Other values (3) 9
 
2.6%
Latin
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
65.8%
ASCII 352
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
50.9%
1 46
 
13.1%
2 29
 
8.2%
3 23
 
6.5%
0 15
 
4.3%
6 12
 
3.4%
7 11
 
3.1%
9 11
 
3.1%
8 7
 
2.0%
4 7
 
2.0%
Other values (6) 12
 
3.4%
Hangul
ValueCountFrequency (%)
동 56
 
8.3%
시 42
 
6.2%
래 40
 
5.9%
구 35
 
5.2%
산 35
 
5.2%
부 34
 
5.0%
광 34
 
5.0%
역 34
 
5.0%
로 34
 
5.0%
층 22
 
3.3%
Other values (98) 310
45.9%

운영시간
Text

MISSING 

Distinct24
Distinct (%)72.7%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-11T02:48:30.895465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length16
Mean length21.272727
Min length16

Characters and Unicode

Total characters702
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

Unique20 ?
Unique (%)60.6%

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
 
14.9%
월~토(09:00~18:00 2
 
4.3%
화~금(14:00~17:00 2
 
4.3%
월~일(09:00~18:00 2
 
4.3%
토(10:00~12:00 2
 
4.3%
월~금(14:00~18:00 2
 
4.3%
화~금(10:00~22:00 1
 
2.1%
14:00~18:00 1
 
2.1%
화~토(13:00~20:00 1
 
2.1%
화~일(09:00~11:00 1
 
2.1%
Other values (26) 26
55.3%
2023-12-11T02:48:31.729564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 197
28.1%
: 86
12.3%
~ 79
11.3%
1 68
 
9.7%
( 41
 
5.8%
) 41
 
5.8%
월 23
 
3.3%
금 23
 
3.3%
9 18
 
2.6%
8 18
 
2.6%
Other values (15) 108
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 344
49.0%
Other Punctuation 98
 
14.0%
Other Letter 83
 
11.8%
Math Symbol 79
 
11.3%
Open Punctuation 41
 
5.8%
Close Punctuation 41
 
5.8%
Space Separator 16
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 197
57.3%
1 68
 
19.8%
9 18
 
5.2%
8 18
 
5.2%
2 14
 
4.1%
4 9
 
2.6%
3 9
 
2.6%
7 7
 
2.0%
6 3
 
0.9%
5 1
 
0.3%
Other Letter
ValueCountFrequency (%)
월 23
27.7%
금 23
27.7%
화 12
14.5%
토 11
13.3%
일 8
 
9.6%
수 2
 
2.4%
목 2
 
2.4%
요 1
 
1.2%
및 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 86
87.8%
, 12
 
12.2%
Math Symbol
ValueCountFrequency (%)
~ 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 619
88.2%
Hangul 83
 
11.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 197
31.8%
: 86
13.9%
~ 79
12.8%
1 68
 
11.0%
( 41
 
6.6%
) 41
 
6.6%
9 18
 
2.9%
8 18
 
2.9%
16
 
2.6%
2 14
 
2.3%
Other values (6) 41
 
6.6%
Hangul
ValueCountFrequency (%)
월 23
27.7%
금 23
27.7%
화 12
14.5%
토 11
13.3%
일 8
 
9.6%
수 2
 
2.4%
목 2
 
2.4%
요 1
 
1.2%
및 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 619
88.2%
Hangul 83
 
11.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 197
31.8%
: 86
13.9%
~ 79
12.8%
1 68
 
11.0%
( 41
 
6.6%
) 41
 
6.6%
9 18
 
2.9%
8 18
 
2.9%
16
 
2.6%
2 14
 
2.3%
Other values (6) 41
 
6.6%
Hangul
ValueCountFrequency (%)
월 23
27.7%
금 23
27.7%
화 12
14.5%
토 11
13.3%
일 8
 
9.6%
수 2
 
2.4%
목 2
 
2.4%
요 1
 
1.2%
및 1
 
1.2%

면적(제곱미터)
Real number (ℝ)

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.916526
Minimum33
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T02:48:32.050505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile33
Q138.66265
median61.4
Q3103.81543
95-th percentile175.5745
Maximum205
Range172
Interquartile range (IQR)65.152775

Descriptive statistics

Standard deviation49.258228
Coefficient of variation (CV)0.6321923
Kurtosis0.83087062
Mean77.916526
Median Absolute Deviation (MAD)28.25
Skewness1.2470076
Sum2649.1619
Variance2426.373
MonotonicityNot monotonic
2023-12-11T02:48:32.358428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
33.0 5
 
14.7%
66.0 2
 
5.9%
92.4 1
 
2.9%
107.44 1
 
2.9%
105.08 1
 
2.9%
38.5502 1
 
2.9%
156.06 1
 
2.9%
100.0217 1
 
2.9%
48.4 1
 
2.9%
138.87 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
33.0 5
14.7%
33.3 1
 
2.9%
34.8 1
 
2.9%
35.0 1
 
2.9%
38.5502 1
 
2.9%
39.0 1
 
2.9%
42.84 1
 
2.9%
45.0 1
 
2.9%
48.4 1
 
2.9%
51.32 1
 
2.9%
ValueCountFrequency (%)
205.0 1
2.9%
204.61 1
2.9%
159.94 1
2.9%
156.06 1
2.9%
138.87 1
2.9%
134.4 1
2.9%
107.44 1
2.9%
106.6 1
2.9%
105.08 1
2.9%
100.0217 1
2.9%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing33
Missing (%)97.1%
Memory size404.0 B
2023-12-11T02:48:32.709170image/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%
2023-12-11T02:48:33.315695image/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

2023-12-11T02:48:26.125143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:48:33.535125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분작은도서관명소재지 주소운영시간면적(제곱미터)
구분1.0001.0001.0001.0000.319
작은도서관명1.0001.0001.0001.0001.000
소재지 주소1.0001.0001.0001.0001.000
운영시간1.0001.0001.0001.0000.916
면적(제곱미터)0.3191.0001.0000.9161.000
2023-12-11T02:48:33.770188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)구분
면적(제곱미터)1.0000.270
구분0.2701.000

Missing values

2023-12-11T02:48:26.404494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:48:26.665958image/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.
2023-12-11T02:48:26.902003image/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
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>
29사립동래롯데캐슬퀸 작은도서관부산광역시 동래구 온천천로 165 101동 3층화~금(10:00~22:00), 토~일(10:00~21:00)48.4<NA>
30사립힐스테이트 명륜 트라디움 작은도서관부산광역시 동래구 동래로57번길 94 힐스테이트 명륜 트라디움 210동월~일(09:00~18:00)100.0217<NA>
31사립e편한세상 동래명장 작은도서관부산광역시 동래구 명장로 65 e편한세상 동래명장월~금(14:00~18:00), 토(10:00~12:00)156.06<NA>
32사립더 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>
33공립온고지신작은도서관부산광역시 동래구 충렬대로126번길 39월~금(09:00~22:00)105.08<NA>