Overview

Dataset statistics

Number of variables6
Number of observations86
Missing cells41
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory50.5 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description해당 데이터는 인천광역시 남동구의 독서실현황에 관련된 자료로서, 인천광역시 남동구 독서실현황의 연번, 상호명, 도로명주소, 전화번호, 관할동, 위치의 정보를 확인할 수 있다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15104023

Alerts

전화번호 has 41 (47.7%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:01:03.250930
Analysis finished2024-01-28 16:01:03.905346
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-29T01:01:03.964717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q122.25
median43.5
Q364.75
95-th percentile81.75
Maximum86
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)0.57402257
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3741
Variance623.5
MonotonicityStrictly increasing
2024-01-29T01:01:04.075925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
56 1
 
1.2%
64 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%

상호명
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-29T01:01:04.271550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.569767
Min length4

Characters and Unicode

Total characters909
Distinct characters142
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

Unique86 ?
Unique (%)100.0%

Sample

1st row초심스터디카페
2nd row미바라운지 스터디카페 만수역점
3rd row사랑독서실
4th row작심독서실 인천논현점
5th row어썸팩토리 인천구월플레이스
ValueCountFrequency (%)
스터디카페 11
 
7.3%
인천논현점 8
 
5.3%
인천구월점 4
 
2.7%
초심스터디카페 3
 
2.0%
작심독서실 3
 
2.0%
열공스터디카페 3
 
2.0%
그루스터디카페 3
 
2.0%
간석역점 2
 
1.3%
인천서창센터 2
 
1.3%
구월점 2
 
1.3%
Other values (99) 109
72.7%
2024-01-29T01:01:04.612640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 68
 
7.5%
64
 
7.0%
스 62
 
6.8%
디 53
 
5.8%
카 47
 
5.2%
페 46
 
5.1%
서 43
 
4.7%
독 34
 
3.7%
실 34
 
3.7%
점 33
 
3.6%
Other values (132) 425
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 833
91.6%
Space Separator 64
 
7.0%
Uppercase Letter 6
 
0.7%
Decimal Number 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 68
 
8.2%
스 62
 
7.4%
디 53
 
6.4%
카 47
 
5.6%
페 46
 
5.5%
서 43
 
5.2%
독 34
 
4.1%
실 34
 
4.1%
점 33
 
4.0%
인 31
 
3.7%
Other values (124) 382
45.9%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
3 2
33.3%
8 1
16.7%
2 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
U 2
33.3%
N 2
33.3%
F 2
33.3%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 833
91.6%
Common 70
 
7.7%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 68
 
8.2%
스 62
 
7.4%
디 53
 
6.4%
카 47
 
5.6%
페 46
 
5.5%
서 43
 
5.2%
독 34
 
4.1%
실 34
 
4.1%
점 33
 
4.0%
인 31
 
3.7%
Other values (124) 382
45.9%
Common
ValueCountFrequency (%)
64
91.4%
0 2
 
2.9%
3 2
 
2.9%
8 1
 
1.4%
2 1
 
1.4%
Latin
ValueCountFrequency (%)
U 2
33.3%
N 2
33.3%
F 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
91.6%
ASCII 76
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 68
 
8.2%
스 62
 
7.4%
디 53
 
6.4%
카 47
 
5.6%
페 46
 
5.5%
서 43
 
5.2%
독 34
 
4.1%
실 34
 
4.1%
점 33
 
4.0%
인 31
 
3.7%
Other values (124) 382
45.9%
ASCII
ValueCountFrequency (%)
64
84.2%
U 2
 
2.6%
N 2
 
2.6%
F 2
 
2.6%
0 2
 
2.6%
3 2
 
2.6%
8 1
 
1.3%
2 1
 
1.3%

도로명주소
Text

Distinct85
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-29T01:01:04.864694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length30.5
Mean length23.023256
Min length13

Characters and Unicode

Total characters1980
Distinct characters162
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

Unique84 ?
Unique (%)97.7%

Sample

1st row인천 남동구 논고개로123번길 17 아이플렉스 6층 초심스터디카페
2nd row인천 남동구 하촌로71번길 41 성모빌딩 2층
3rd row인천 남동구 문화서로23번길 9 수협은행 2. 3층
4th row인천 남동구 논고개로 118 양진타워 6층
5th row인천 남동구 구월남로 228 4층
ValueCountFrequency (%)
인천 86
 
18.1%
남동구 86
 
18.1%
논고개로 11
 
2.3%
4층 11
 
2.3%
5층 9
 
1.9%
3층 8
 
1.7%
6층 6
 
1.3%
17 6
 
1.3%
구월남로 6
 
1.3%
호구포로 6
 
1.3%
Other values (185) 240
50.5%
2024-01-29T01:01:05.250218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
19.6%
남 107
 
5.4%
구 107
 
5.4%
동 95
 
4.8%
인 92
 
4.6%
천 89
 
4.5%
로 86
 
4.3%
1 77
 
3.9%
2 66
 
3.3%
층 45
 
2.3%
Other values (152) 827
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
58.5%
Decimal Number 413
 
20.9%
Space Separator 389
 
19.6%
Other Punctuation 8
 
0.4%
Dash Punctuation 5
 
0.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 107
 
9.2%
구 107
 
9.2%
동 95
 
8.2%
인 92
 
7.9%
천 89
 
7.7%
로 86
 
7.4%
층 45
 
3.9%
호 34
 
2.9%
길 24
 
2.1%
번 24
 
2.1%
Other values (137) 456
39.3%
Decimal Number
ValueCountFrequency (%)
1 77
18.6%
2 66
16.0%
5 44
10.7%
3 41
9.9%
0 39
9.4%
6 37
9.0%
4 36
8.7%
8 28
 
6.8%
7 26
 
6.3%
9 19
 
4.6%
Space Separator
ValueCountFrequency (%)
389
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
58.5%
Common 821
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 107
 
9.2%
구 107
 
9.2%
동 95
 
8.2%
인 92
 
7.9%
천 89
 
7.7%
로 86
 
7.4%
층 45
 
3.9%
호 34
 
2.9%
길 24
 
2.1%
번 24
 
2.1%
Other values (137) 456
39.3%
Common
ValueCountFrequency (%)
389
47.4%
1 77
 
9.4%
2 66
 
8.0%
5 44
 
5.4%
3 41
 
5.0%
0 39
 
4.8%
6 37
 
4.5%
4 36
 
4.4%
8 28
 
3.4%
7 26
 
3.2%
Other values (5) 38
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
58.5%
ASCII 821
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
389
47.4%
1 77
 
9.4%
2 66
 
8.0%
5 44
 
5.4%
3 41
 
5.0%
0 39
 
4.8%
6 37
 
4.5%
4 36
 
4.4%
8 28
 
3.4%
7 26
 
3.2%
Other values (5) 38
 
4.6%
Hangul
ValueCountFrequency (%)
남 107
 
9.2%
구 107
 
9.2%
동 95
 
8.2%
인 92
 
7.9%
천 89
 
7.7%
로 86
 
7.4%
층 45
 
3.9%
호 34
 
2.9%
길 24
 
2.1%
번 24
 
2.1%
Other values (137) 456
39.3%

전화번호
Text

MISSING 

Distinct42
Distinct (%)93.3%
Missing41
Missing (%)47.7%
Memory size820.0 B
2024-01-29T01:01:05.442947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.044444
Min length12

Characters and Unicode

Total characters542
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)86.7%

Sample

1st row032-433-3672
2nd row032-427-0910
3rd row032-466-0044
4th row032-467-3288
5th row032-462-9729
ValueCountFrequency (%)
032-282-1004 2
 
4.4%
032-271-2464 2
 
4.4%
032-433-3672 2
 
4.4%
070-8671-3486 1
 
2.2%
032-713-8209 1
 
2.2%
032-465-0934 1
 
2.2%
032-466-1646 1
 
2.2%
070-8804-7000 1
 
2.2%
032-446-5004 1
 
2.2%
032-463-7770 1
 
2.2%
Other values (32) 32
71.1%
2024-01-29T01:01:05.736193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
16.8%
- 90
16.6%
2 72
13.3%
3 68
12.5%
4 58
10.7%
7 41
7.6%
6 33
 
6.1%
1 32
 
5.9%
9 27
 
5.0%
8 18
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 452
83.4%
Dash Punctuation 90
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
20.1%
2 72
15.9%
3 68
15.0%
4 58
12.8%
7 41
9.1%
6 33
 
7.3%
1 32
 
7.1%
9 27
 
6.0%
8 18
 
4.0%
5 12
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 542
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
16.8%
- 90
16.6%
2 72
13.3%
3 68
12.5%
4 58
10.7%
7 41
7.6%
6 33
 
6.1%
1 32
 
5.9%
9 27
 
5.0%
8 18
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
16.8%
- 90
16.6%
2 72
13.3%
3 68
12.5%
4 58
10.7%
7 41
7.6%
6 33
 
6.1%
1 32
 
5.9%
9 27
 
5.0%
8 18
 
3.3%

관할동
Categorical

Distinct7
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size820.0 B
구월동
22 
만수동
18 
논현동
16 
간석동
15 
서창동
12 
Other values (2)
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row논현동
2nd row만수동
3rd row구월동
4th row논현동
5th row구월동

Common Values

ValueCountFrequency (%)
구월동 22
25.6%
만수동 18
20.9%
논현동 16
18.6%
간석동 15
17.4%
서창동 12
14.0%
남촌동 2
 
2.3%
도림동 1
 
1.2%

Length

2024-01-29T01:01:06.159010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:01:06.253067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구월동 22
25.6%
만수동 18
20.9%
논현동 16
18.6%
간석동 15
17.4%
서창동 12
14.0%
남촌동 2
 
2.3%
도림동 1
 
1.2%

위치
Text

Distinct85
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-29T01:01:06.508054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.6976744
Min length6

Characters and Unicode

Total characters748
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

Unique84 ?
Unique (%)97.7%

Sample

1st row아이플렉스 6층
2nd row성모빌딩 2층
3rd row수협은행건물 2. 3층
4th row양진타워 6층
5th row컨스타 4층
ValueCountFrequency (%)
4층 16
 
8.9%
5층 16
 
8.9%
3층 14
 
7.8%
2층 13
 
7.2%
6층 11
 
6.1%
8층 6
 
3.3%
건물 4
 
2.2%
7층 3
 
1.7%
아이플렉스 3
 
1.7%
10층 2
 
1.1%
Other values (85) 92
51.1%
2024-01-29T01:01:06.873568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
12.6%
층 86
 
11.5%
프 24
 
3.2%
라 24
 
3.2%
자 24
 
3.2%
건 21
 
2.8%
빌 20
 
2.7%
딩 20
 
2.7%
물 20
 
2.7%
스 19
 
2.5%
Other values (151) 396
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 557
74.5%
Space Separator 94
 
12.6%
Decimal Number 94
 
12.6%
Other Punctuation 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 86
 
15.4%
프 24
 
4.3%
라 24
 
4.3%
자 24
 
4.3%
건 21
 
3.8%
빌 20
 
3.6%
딩 20
 
3.6%
물 20
 
3.6%
스 19
 
3.4%
타 12
 
2.2%
Other values (139) 287
51.5%
Decimal Number
ValueCountFrequency (%)
2 17
18.1%
5 16
17.0%
3 16
17.0%
4 16
17.0%
6 11
11.7%
1 7
7.4%
8 6
 
6.4%
7 3
 
3.2%
0 2
 
2.1%
Space Separator
ValueCountFrequency (%)
94
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 557
74.5%
Common 190
 
25.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 86
 
15.4%
프 24
 
4.3%
라 24
 
4.3%
자 24
 
4.3%
건 21
 
3.8%
빌 20
 
3.6%
딩 20
 
3.6%
물 20
 
3.6%
스 19
 
3.4%
타 12
 
2.2%
Other values (139) 287
51.5%
Common
ValueCountFrequency (%)
94
49.5%
2 17
 
8.9%
5 16
 
8.4%
3 16
 
8.4%
4 16
 
8.4%
6 11
 
5.8%
1 7
 
3.7%
8 6
 
3.2%
7 3
 
1.6%
0 2
 
1.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 557
74.5%
ASCII 191
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
49.2%
2 17
 
8.9%
5 16
 
8.4%
3 16
 
8.4%
4 16
 
8.4%
6 11
 
5.8%
1 7
 
3.7%
8 6
 
3.1%
7 3
 
1.6%
0 2
 
1.0%
Other values (2) 3
 
1.6%
Hangul
ValueCountFrequency (%)
층 86
 
15.4%
프 24
 
4.3%
라 24
 
4.3%
자 24
 
4.3%
건 21
 
3.8%
빌 20
 
3.6%
딩 20
 
3.6%
물 20
 
3.6%
스 19
 
3.4%
타 12
 
2.2%
Other values (139) 287
51.5%

Interactions

2024-01-29T01:01:03.662508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:01:06.953307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소전화번호관할동위치
연번1.0001.0000.9380.9520.2630.938
상호명1.0001.0001.0001.0001.0001.000
도로명주소0.9381.0001.0001.0001.0001.000
전화번호0.9521.0001.0001.0000.9501.000
관할동0.2631.0001.0000.9501.0001.000
위치0.9381.0001.0001.0001.0001.000
2024-01-29T01:01:07.032696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할동
연번1.0000.119
관할동0.1191.000

Missing values

2024-01-29T01:01:03.770055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:01:03.870602image/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

연번상호명도로명주소전화번호관할동위치
01초심스터디카페인천 남동구 논고개로123번길 17 아이플렉스 6층 초심스터디카페<NA>논현동아이플렉스 6층
12미바라운지 스터디카페 만수역점인천 남동구 하촌로71번길 41 성모빌딩 2층<NA>만수동성모빌딩 2층
23사랑독서실인천 남동구 문화서로23번길 9 수협은행 2. 3층032-433-3672구월동수협은행건물 2. 3층
34작심독서실 인천논현점인천 남동구 논고개로 118 양진타워 6층032-427-0910논현동양진타워 6층
45어썸팩토리 인천구월플레이스인천 남동구 구월남로 228 4층032-466-0044구월동컨스타 4층
56꿈독서실인천 남동구 장승남로 61 만수동 1030032-467-3288만수동인일프라자 3층
67숲에서독서실인천 남동구 성리로 59 태봉빌딩032-462-9729구월동태봉빌딩 4층
78토즈스터디센터 인천구월센터인천 남동구 용천로 87 405. 406호032-891-8600구월동흥인빌딩 4층
89작심독서실 인천구월점인천 남동구 구월남로 198 트윈프라자 5층032-471-0910구월동트윈프라자 5층
910하우스터디독서실 인천만수센터인천 남동구 장승남로 46-1 우리프라자 5층032-466-8407만수동우리프라자 5층
연번상호명도로명주소전화번호관할동위치
7677노벨스터디카페 서창센터점인천 남동구 서창남순환로215번길 17 205호. 206호<NA>서창동메가커피건물 2층
7778커피랑도서관 간석조이점인천 남동구 호구포로 914070-8804-7000간석동금옥빌딩 지하1층
7879리게인스터디카페 인천도림점인천 남동구 도림로11번길 16 2층<NA>도림동파리바게트건물 2층
7980열공스터디카페인천 남동구 서창남순환로 223 에이동 508호<NA>서창동아페리온 A동 5층
8081신스터디카페인천 남동구 호구포로 909 4층<NA>간석동만월식당건물 4층
8182위드림 스터디카페인천 남동구 남동대로 894 . 투썸 건물 5층 전체<NA>간석동투썸플레이스건물 5층
8283두드림아시아드독서실인천 남동구 인하로 629 3층032-466-1646구월동원준프라자 3층
8384열공독서실인천 남동구 문화서로23번길 9032-433-3672구월동수협은행건물 2층
8485하늘독서실인천 남동구 구월남로 216 3층032-468-7771구월동가나프라자 3층
8586태광독서실인천 남동구 장승로 32032-472-5909만수동태광빌딩 6층