Overview

Dataset statistics

Number of variables4
Number of observations24
Missing cells9
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory924.0 B
Average record size in memory38.5 B

Variable types

Text3
Numeric1

Dataset

Description인천광역시 남동구에 위치하는 키즈카페에 대한 데이터로 키즈카페상호, 우편번호, 주소지, 연락처 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15042120/fileData.do

Alerts

연락처 has 9 (37.5%) missing valuesMissing
상호 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:00:42.198707
Analysis finished2023-12-12 05:00:42.730601
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T14:00:42.890473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length7.5833333
Min length4

Characters and Unicode

Total characters182
Distinct characters71
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row타요 키즈카페
2nd row돈키호테(만수점)
3rd row(주)점핑파크
4th row아이세상 키즈카페
5th row돈키호테(구월점)
ValueCountFrequency (%)
키즈카페 6
 
17.1%
쁘띠몽드 2
 
5.7%
타요 1
 
2.9%
프레리 1
 
2.9%
슈퍼키즈 1
 
2.9%
서창점 1
 
2.9%
점핑몬스터 1
 
2.9%
주니어카페텐텐 1
 
2.9%
점핑파크 1
 
2.9%
인천서창점 1
 
2.9%
Other values (19) 19
54.3%
2023-12-12T14:00:43.340681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
키 12
 
6.6%
11
 
6.0%
점 11
 
6.0%
즈 10
 
5.5%
카 10
 
5.5%
페 9
 
4.9%
방 6
 
3.3%
이 5
 
2.7%
) 4
 
2.2%
스 4
 
2.2%
Other values (61) 100
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
89.6%
Space Separator 11
 
6.0%
Close Punctuation 4
 
2.2%
Open Punctuation 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
키 12
 
7.4%
점 11
 
6.7%
즈 10
 
6.1%
카 10
 
6.1%
페 9
 
5.5%
방 6
 
3.7%
이 5
 
3.1%
스 4
 
2.5%
핑 4
 
2.5%
리 3
 
1.8%
Other values (58) 89
54.6%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
89.6%
Common 19
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
키 12
 
7.4%
점 11
 
6.7%
즈 10
 
6.1%
카 10
 
6.1%
페 9
 
5.5%
방 6
 
3.7%
이 5
 
3.1%
스 4
 
2.5%
핑 4
 
2.5%
리 3
 
1.8%
Other values (58) 89
54.6%
Common
ValueCountFrequency (%)
11
57.9%
) 4
 
21.1%
( 4
 
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
89.6%
ASCII 19
 
10.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
키 12
 
7.4%
점 11
 
6.7%
즈 10
 
6.1%
카 10
 
6.1%
페 9
 
5.5%
방 6
 
3.7%
이 5
 
3.1%
스 4
 
2.5%
핑 4
 
2.5%
리 3
 
1.8%
Other values (58) 89
54.6%
ASCII
ValueCountFrequency (%)
11
57.9%
) 4
 
21.1%
( 4
 
21.1%

우편번호
Real number (ℝ)

Distinct18
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21609.708
Minimum21501
Maximum21679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T14:00:43.476591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21501
5-th percentile21525.5
Q121551
median21614
Q321673.25
95-th percentile21679
Maximum21679
Range178
Interquartile range (IQR)122.25

Descriptive statistics

Standard deviation61.741734
Coefficient of variation (CV)0.0028571294
Kurtosis-1.564785
Mean21609.708
Median Absolute Deviation (MAD)61
Skewness-0.17589176
Sum518633
Variance3812.0417
MonotonicityNot monotonic
2023-12-12T14:00:43.621982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
21679 5
20.8%
21614 2
 
8.3%
21673 2
 
8.3%
21548 1
 
4.2%
21655 1
 
4.2%
21582 1
 
4.2%
21534 1
 
4.2%
21667 1
 
4.2%
21501 1
 
4.2%
21524 1
 
4.2%
Other values (8) 8
33.3%
ValueCountFrequency (%)
21501 1
4.2%
21524 1
4.2%
21534 1
4.2%
21539 1
4.2%
21547 1
4.2%
21548 1
4.2%
21552 1
4.2%
21563 1
4.2%
21565 1
4.2%
21582 1
4.2%
ValueCountFrequency (%)
21679 5
20.8%
21674 1
 
4.2%
21673 2
 
8.3%
21667 1
 
4.2%
21655 1
 
4.2%
21617 1
 
4.2%
21614 2
 
8.3%
21596 1
 
4.2%
21582 1
 
4.2%
21565 1
 
4.2%

소재지(도로명)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T14:00:43.959950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41.5
Mean length38.125
Min length27

Characters and Unicode

Total characters915
Distinct characters124
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 논고개로 61, 410, 411(일부)호 (논현동, 라피에스타)
2nd row인천광역시 남동구 만수로 7, 4층 4층호 (만수동)
3rd row인천광역시 남동구 논고개로 73, 401호 (논현동)
4th row인천광역시 남동구 구월로 368, 4층 4층호 (만수동)
5th row인천광역시 남동구 용천로 87, 2층 204~206호 (구월동, 흥인빌딩)
ValueCountFrequency (%)
인천광역시 24
 
13.8%
남동구 24
 
13.8%
논현동 10
 
5.7%
구월동 6
 
3.4%
논고개로 4
 
2.3%
서창동 3
 
1.7%
만수동 3
 
1.7%
구월로 3
 
1.7%
401호 2
 
1.1%
간석동 2
 
1.1%
Other values (86) 93
53.4%
2023-12-12T14:00:44.510932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
16.4%
동 48
 
5.2%
, 38
 
4.2%
구 35
 
3.8%
남 29
 
3.2%
) 27
 
3.0%
역 27
 
3.0%
( 27
 
3.0%
0 27
 
3.0%
인 26
 
2.8%
Other values (114) 481
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
53.0%
Decimal Number 158
 
17.3%
Space Separator 150
 
16.4%
Other Punctuation 38
 
4.2%
Close Punctuation 27
 
3.0%
Open Punctuation 27
 
3.0%
Uppercase Letter 17
 
1.9%
Lowercase Letter 9
 
1.0%
Dash Punctuation 2
 
0.2%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
9.9%
구 35
 
7.2%
남 29
 
6.0%
역 27
 
5.6%
인 26
 
5.4%
천 25
 
5.2%
로 25
 
5.2%
시 24
 
4.9%
광 24
 
4.9%
호 20
 
4.1%
Other values (80) 202
41.6%
Decimal Number
ValueCountFrequency (%)
0 27
17.1%
2 23
14.6%
4 21
13.3%
1 20
12.7%
5 14
8.9%
3 14
8.9%
6 13
8.2%
8 12
7.6%
7 11
7.0%
9 3
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
17.6%
T 3
17.6%
B 2
11.8%
L 2
11.8%
S 2
11.8%
Z 1
 
5.9%
P 1
 
5.9%
C 1
 
5.9%
E 1
 
5.9%
H 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
22.2%
x 1
11.1%
y 1
11.1%
g 1
11.1%
v 1
11.1%
w 1
11.1%
e 1
11.1%
r 1
11.1%
Space Separator
ValueCountFrequency (%)
150
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
53.0%
Common 404
44.2%
Latin 26
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
9.9%
구 35
 
7.2%
남 29
 
6.0%
역 27
 
5.6%
인 26
 
5.4%
천 25
 
5.2%
로 25
 
5.2%
시 24
 
4.9%
광 24
 
4.9%
호 20
 
4.1%
Other values (80) 202
41.6%
Latin
ValueCountFrequency (%)
A 3
 
11.5%
T 3
 
11.5%
o 2
 
7.7%
B 2
 
7.7%
L 2
 
7.7%
S 2
 
7.7%
Z 1
 
3.8%
P 1
 
3.8%
x 1
 
3.8%
y 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
150
37.1%
, 38
 
9.4%
) 27
 
6.7%
( 27
 
6.7%
0 27
 
6.7%
2 23
 
5.7%
4 21
 
5.2%
1 20
 
5.0%
5 14
 
3.5%
3 14
 
3.5%
Other values (6) 43
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
53.0%
ASCII 430
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
34.9%
, 38
 
8.8%
) 27
 
6.3%
( 27
 
6.3%
0 27
 
6.3%
2 23
 
5.3%
4 21
 
4.9%
1 20
 
4.7%
5 14
 
3.3%
3 14
 
3.3%
Other values (24) 69
16.0%
Hangul
ValueCountFrequency (%)
동 48
 
9.9%
구 35
 
7.2%
남 29
 
6.0%
역 27
 
5.6%
인 26
 
5.4%
천 25
 
5.2%
로 25
 
5.2%
시 24
 
4.9%
광 24
 
4.9%
호 20
 
4.1%
Other values (80) 202
41.6%

연락처
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing9
Missing (%)37.5%
Memory size324.0 B
2023-12-12T14:00:44.752610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.933333
Min length9

Characters and Unicode

Total characters179
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

Unique15 ?
Unique (%)100.0%

Sample

1st row032-437-8005
2nd row032-462-2767
3rd row032-424-3356
4th row0507-1447-2468
5th row032-433-4402
ValueCountFrequency (%)
032-437-8005 1
 
6.7%
032-462-2767 1
 
6.7%
032-424-3356 1
 
6.7%
0507-1447-2468 1
 
6.7%
032-433-4402 1
 
6.7%
1588-5755 1
 
6.7%
032-435-0055 1
 
6.7%
032-435-0042 1
 
6.7%
032-433-3400 1
 
6.7%
032-461-8881 1
 
6.7%
Other values (5) 5
33.3%
2023-12-12T14:00:45.132936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 29
16.2%
- 29
16.2%
0 27
15.1%
2 23
12.8%
4 22
12.3%
5 16
8.9%
7 11
 
6.1%
8 8
 
4.5%
6 8
 
4.5%
1 5
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
83.8%
Dash Punctuation 29
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 29
19.3%
0 27
18.0%
2 23
15.3%
4 22
14.7%
5 16
10.7%
7 11
 
7.3%
8 8
 
5.3%
6 8
 
5.3%
1 5
 
3.3%
9 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 179
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 29
16.2%
- 29
16.2%
0 27
15.1%
2 23
12.8%
4 22
12.3%
5 16
8.9%
7 11
 
6.1%
8 8
 
4.5%
6 8
 
4.5%
1 5
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 29
16.2%
- 29
16.2%
0 27
15.1%
2 23
12.8%
4 22
12.3%
5 16
8.9%
7 11
 
6.1%
8 8
 
4.5%
6 8
 
4.5%
1 5
 
2.8%

Interactions

2023-12-12T14:00:42.431354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:00:45.245902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호우편번호소재지(도로명)연락처
상호1.0001.0001.0001.000
우편번호1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-12T14:00:42.578813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:00:42.676637image/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

상호우편번호소재지(도로명)연락처
0타요 키즈카페21679인천광역시 남동구 논고개로 61, 410, 411(일부)호 (논현동, 라피에스타)032-437-8005
1돈키호테(만수점)21524인천광역시 남동구 만수로 7, 4층 4층호 (만수동)<NA>
2(주)점핑파크21679인천광역시 남동구 논고개로 73, 401호 (논현동)<NA>
3아이세상 키즈카페21539인천광역시 남동구 구월로 368, 4층 4층호 (만수동)032-462-2767
4돈키호테(구월점)21548인천광역시 남동구 용천로 87, 2층 204~206호 (구월동, 흥인빌딩)<NA>
5키즈카페 샤를롯데21655인천광역시 남동구 논현로 40, 202, 203호 (논현동, THE CLASS PLAZA)032-424-3356
6쁘띠몽드 키즈카페21582인천광역시 남동구 선수촌공원로 37, 801호 (구월동, 중앙프라자(상업5-3,5-4))<NA>
7맘스앤 키즈방방21534인천광역시 남동구 구월로 284, 501호 (구월동, 구월프라자)0507-1447-2468
8상상노리21667인천광역시 남동구 청능대로 596, 지하2층(x6,yg)호 (논현동)032-433-4402
9마쉐앙팡 키즈카페21679인천광역시 남동구 논고개로 85, 701호 (논현동)1588-5755
상호우편번호소재지(도로명)연락처
14프레리 키즈카페21674인천광역시 남동구 소래역남로16번길 75, 에코메트로3차 더타워상가 B102호 (논현동)032-433-3400
15점핑플러스21563인천광역시 남동구 구월남로 228, 컨스타 201,202,203호 (구월동)032-461-8881
16노리파크 서창지구점21617인천광역시 남동구 서창방산로 51, 애플랜드 5층 503~507호 (서창동)<NA>
17슈슈봉봉(인천논현점)21673인천광역시 남동구 소래역로 44, 3층호 (논현동)032-425-2705
18도로로키즈카페21596인천광역시 남동구 장승남로 38, 반달프라자 401호 (만수동)032-472-4233
19쁘띠몽드 인천서창점21614인천광역시 남동구 서창남순환로215번길 17, 마스타프라자 409,410호 (서창동)032-467-8369
20점핑파크21547인천광역시 남동구 구월로 223, 위너스프라자 B01호 (구월동)032-467-5553
21주니어카페텐텐21565인천광역시 남동구 독점로 29, 해명프라자 3층 (구월동)<NA>
22점핑몬스터 서창점21614인천광역시 남동구 서창남로 81, 투엠프라자 7층 (서창동)<NA>
23슈퍼키즈 스카이방방21552인천광역시 남동구 경인로 520, 탑프라자2 6층 603호 (간석동)032-433-1007