Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells11
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory63.5 B

Variable types

Categorical1
Text3
Numeric2
DateTime1

Dataset

Description부산광역시 기장군 관내에 위치해 있는 키즈카페 현황 정보 입니다. 업소명, 도로명주소, 위도, 경도, 데이터 기준일자 등을 포함하고 있습니다.
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15088441/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 11 (45.8%) missing valuesMissing
키즈카페명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:20:05.565627
Analysis finished2023-12-12 09:20:06.630738
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
기장군
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기장군 24
100.0%

Length

2023-12-12T18:20:06.712389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:20:06.835947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기장군 24
100.0%

키즈카페명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T18:20:07.042643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length8.5833333
Min length3

Characters and Unicode

Total characters206
Distinct characters92
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

Unique24 ?
Unique (%)100.0%

Sample

1st row위드엔터테인
2nd row(주)하이브리드시스템
3rd row한국LS레져
4th row스카이라인루지 부산
5th row롯데월드 어드벤처 부산
ValueCountFrequency (%)
주)아이조아키즈랜드 4
 
11.1%
부산 2
 
5.6%
위드엔터테인 1
 
2.8%
부산정관점 1
 
2.8%
고기살롱 1
 
2.8%
체리 1
 
2.8%
봉봉 1
 
2.8%
키즈카페 1
 
2.8%
주)히어로플레이파크 1
 
2.8%
주)리틀마운틴 1
 
2.8%
Other values (22) 22
61.1%
2023-12-12T18:20:07.517761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
5.8%
이 10
 
4.9%
드 9
 
4.4%
( 8
 
3.9%
아 8
 
3.9%
주 8
 
3.9%
) 8
 
3.9%
키 7
 
3.4%
즈 6
 
2.9%
산 5
 
2.4%
Other values (82) 125
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
82.0%
Space Separator 12
 
5.8%
Open Punctuation 8
 
3.9%
Close Punctuation 8
 
3.9%
Uppercase Letter 4
 
1.9%
Decimal Number 4
 
1.9%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
5.9%
드 9
 
5.3%
아 8
 
4.7%
주 8
 
4.7%
키 7
 
4.1%
즈 6
 
3.6%
산 5
 
3.0%
랜 5
 
3.0%
부 5
 
3.0%
조 4
 
2.4%
Other values (71) 102
60.4%
Decimal Number
ValueCountFrequency (%)
4 1
25.0%
1 1
25.0%
2 1
25.0%
3 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
L 1
25.0%
S 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
82.0%
Common 33
 
16.0%
Latin 4
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
5.9%
드 9
 
5.3%
아 8
 
4.7%
주 8
 
4.7%
키 7
 
4.1%
즈 6
 
3.6%
산 5
 
3.0%
랜 5
 
3.0%
부 5
 
3.0%
조 4
 
2.4%
Other values (71) 102
60.4%
Common
ValueCountFrequency (%)
12
36.4%
( 8
24.2%
) 8
24.2%
4 1
 
3.0%
& 1
 
3.0%
1 1
 
3.0%
2 1
 
3.0%
3 1
 
3.0%
Latin
ValueCountFrequency (%)
J 2
50.0%
L 1
25.0%
S 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
82.0%
ASCII 37
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
32.4%
( 8
21.6%
) 8
21.6%
J 2
 
5.4%
L 1
 
2.7%
S 1
 
2.7%
4 1
 
2.7%
& 1
 
2.7%
1 1
 
2.7%
2 1
 
2.7%
Hangul
ValueCountFrequency (%)
이 10
 
5.9%
드 9
 
5.3%
아 8
 
4.7%
주 8
 
4.7%
키 7
 
4.1%
즈 6
 
3.6%
산 5
 
3.0%
랜 5
 
3.0%
부 5
 
3.0%
조 4
 
2.4%
Other values (71) 102
60.4%

도로명주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T18:20:07.804933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length36.5
Mean length31
Min length22

Characters and Unicode

Total characters744
Distinct characters83
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row부산광역시 기장군 장안읍 정관로 1133
2nd row부산광역시 기장군 기장읍 기장해안로 147
3rd row부산광역시 기장군 기장읍 기장해안로 147 (롯데몰동부산점)
4th row부산광역시 기장군 기장읍 기장해안로 205
5th row부산광역시 기장군 기장읍 동부산관광로 42, 롯데월드 어드벤처 부산
ValueCountFrequency (%)
부산광역시 24
 
15.2%
기장군 24
 
15.2%
정관로 10
 
6.3%
정관읍 9
 
5.7%
장안읍 8
 
5.1%
기장읍 7
 
4.4%
기장해안로 5
 
3.2%
147 4
 
2.5%
1120 4
 
2.5%
3층 3
 
1.9%
Other values (49) 60
38.0%
2023-12-12T18:20:08.280712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
18.0%
장 44
 
5.9%
기 36
 
4.8%
부 31
 
4.2%
산 31
 
4.2%
관 29
 
3.9%
정 28
 
3.8%
1 25
 
3.4%
광 25
 
3.4%
역 25
 
3.4%
Other values (73) 336
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
62.9%
Space Separator 134
 
18.0%
Decimal Number 105
 
14.1%
Other Punctuation 20
 
2.7%
Open Punctuation 6
 
0.8%
Close Punctuation 6
 
0.8%
Dash Punctuation 2
 
0.3%
Letter Number 2
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 44
 
9.4%
기 36
 
7.7%
부 31
 
6.6%
산 31
 
6.6%
관 29
 
6.2%
정 28
 
6.0%
광 25
 
5.3%
역 25
 
5.3%
시 24
 
5.1%
군 24
 
5.1%
Other values (56) 171
36.5%
Decimal Number
ValueCountFrequency (%)
1 25
23.8%
2 13
12.4%
5 13
12.4%
4 12
11.4%
0 11
10.5%
3 10
 
9.5%
6 9
 
8.6%
7 7
 
6.7%
8 3
 
2.9%
9 2
 
1.9%
Space Separator
ValueCountFrequency (%)
134
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
62.9%
Common 274
36.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 44
 
9.4%
기 36
 
7.7%
부 31
 
6.6%
산 31
 
6.6%
관 29
 
6.2%
정 28
 
6.0%
광 25
 
5.3%
역 25
 
5.3%
시 24
 
5.1%
군 24
 
5.1%
Other values (56) 171
36.5%
Common
ValueCountFrequency (%)
134
48.9%
1 25
 
9.1%
, 20
 
7.3%
2 13
 
4.7%
5 13
 
4.7%
4 12
 
4.4%
0 11
 
4.0%
3 10
 
3.6%
6 9
 
3.3%
7 7
 
2.6%
Other values (6) 20
 
7.3%
Latin
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
62.9%
ASCII 274
36.8%
Number Forms 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
48.9%
1 25
 
9.1%
, 20
 
7.3%
2 13
 
4.7%
5 13
 
4.7%
4 12
 
4.4%
0 11
 
4.0%
3 10
 
3.6%
6 9
 
3.3%
7 7
 
2.6%
Other values (6) 20
 
7.3%
Hangul
ValueCountFrequency (%)
장 44
 
9.4%
기 36
 
7.7%
부 31
 
6.6%
산 31
 
6.6%
관 29
 
6.2%
정 28
 
6.0%
광 25
 
5.3%
역 25
 
5.3%
시 24
 
5.1%
군 24
 
5.1%
Other values (56) 171
36.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing11
Missing (%)45.8%
Memory size324.0 B
2023-12-12T18:20:08.484117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters156
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

Unique13 ?
Unique (%)100.0%

Sample

1st row051-901-2624
2nd row051-901-2882
3rd row051-722-6002
4th row051-728-0081
5th row051-717-0501
ValueCountFrequency (%)
051-901-2624 1
 
7.7%
051-901-2882 1
 
7.7%
051-722-6002 1
 
7.7%
051-728-0081 1
 
7.7%
051-717-0501 1
 
7.7%
051-727-6776 1
 
7.7%
051-727-5162 1
 
7.7%
051-901-2872 1
 
7.7%
051-728-9414 1
 
7.7%
051-728-7769 1
 
7.7%
Other values (3) 3
23.1%
2023-12-12T18:20:08.820647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 26
16.7%
0 25
16.0%
1 25
16.0%
2 17
10.9%
7 17
10.9%
5 16
10.3%
8 9
 
5.8%
9 8
 
5.1%
6 8
 
5.1%
4 4
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
83.3%
Dash Punctuation 26
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25
19.2%
1 25
19.2%
2 17
13.1%
7 17
13.1%
5 16
12.3%
8 9
 
6.9%
9 8
 
6.2%
6 8
 
6.2%
4 4
 
3.1%
3 1
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 26
16.7%
0 25
16.0%
1 25
16.0%
2 17
10.9%
7 17
10.9%
5 16
10.3%
8 9
 
5.8%
9 8
 
5.1%
6 8
 
5.1%
4 4
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 26
16.7%
0 25
16.0%
1 25
16.0%
2 17
10.9%
7 17
10.9%
5 16
10.3%
8 9
 
5.8%
9 8
 
5.1%
6 8
 
5.1%
4 4
 
2.6%

위도
Real number (ℝ)

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.20948
Minimum129.1671
Maximum129.26728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T18:20:08.967700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.1671
5-th percentile129.17628
Q1129.17828
median129.21278
Q3129.23394
95-th percentile129.24943
Maximum129.26728
Range0.1001793
Interquartile range (IQR)0.0556591

Descriptive statistics

Standard deviation0.028114083
Coefficient of variation (CV)0.0002175853
Kurtosis-0.96075262
Mean129.20948
Median Absolute Deviation (MAD)0.0216633
Skewness0.11476044
Sum3101.0275
Variance0.00079040166
MonotonicityNot monotonic
2023-12-12T18:20:09.106797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
129.2339425 4
16.7%
129.2127825 3
12.5%
129.1782834 2
 
8.3%
129.2149548 2
 
8.3%
129.1767376 2
 
8.3%
129.1762561 1
 
4.2%
129.2672821 1
 
4.2%
129.1796979 1
 
4.2%
129.2349491 1
 
4.2%
129.2163795 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
129.1671028 1
 
4.2%
129.1762561 1
 
4.2%
129.1763857 1
 
4.2%
129.1767376 2
8.3%
129.1782834 2
8.3%
129.1796979 1
 
4.2%
129.1954433 1
 
4.2%
129.2125528 1
 
4.2%
129.2127825 3
12.5%
129.2149548 2
8.3%
ValueCountFrequency (%)
129.2672821 1
 
4.2%
129.2518862 1
 
4.2%
129.2355252 1
 
4.2%
129.2349491 1
 
4.2%
129.2339425 4
16.7%
129.2163795 1
 
4.2%
129.2149548 2
8.3%
129.2127825 3
12.5%
129.2125528 1
 
4.2%
129.1954433 1
 
4.2%

경도
Real number (ℝ)

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.287531
Minimum35.192211
Maximum35.367983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T18:20:09.229393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.192211
5-th percentile35.192211
Q135.230743
median35.320458
Q335.321534
95-th percentile35.33286
Maximum35.367983
Range0.17577296
Interquartile range (IQR)0.090791092

Descriptive statistics

Standard deviation0.059301222
Coefficient of variation (CV)0.0016805149
Kurtosis-0.88270294
Mean35.287531
Median Absolute Deviation (MAD)0.00293203
Skewness-0.9312522
Sum846.90074
Variance0.003516635
MonotonicityNot monotonic
2023-12-12T18:20:09.384718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
35.32045835 4
16.7%
35.19221051 3
12.5%
35.32119451 2
 
8.3%
35.19282868 2
 
8.3%
35.32153408 2
 
8.3%
35.32170101 1
 
4.2%
35.36798347 1
 
4.2%
35.31863888 1
 
4.2%
35.32372898 1
 
4.2%
35.24338109 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
35.19221051 3
12.5%
35.19227591 1
 
4.2%
35.19282868 2
8.3%
35.24338109 1
 
4.2%
35.3123418 1
 
4.2%
35.312472 1
 
4.2%
35.31863888 1
 
4.2%
35.32045835 4
16.7%
35.32111818 1
 
4.2%
35.32119451 2
8.3%
ValueCountFrequency (%)
35.36798347 1
 
4.2%
35.33447192 1
 
4.2%
35.32372898 1
 
4.2%
35.32305178 1
 
4.2%
35.32170101 1
 
4.2%
35.32153408 2
8.3%
35.32119451 2
8.3%
35.32111818 1
 
4.2%
35.32045835 4
16.7%
35.31863888 1
 
4.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2023-09-07 00:00:00
Maximum2023-09-07 00:00:00
2023-12-12T18:20:09.509574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:09.644129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:20:06.111618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:05.866681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:06.239242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:20:05.966547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:20:09.751019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
키즈카페명도로명주소전화번호위도경도
키즈카페명1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.882
경도1.0001.0001.0000.8821.000
2023-12-12T18:20:09.886119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.194
경도-0.1941.000

Missing values

2023-12-12T18:20:06.426181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:20:06.571412image/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

구군명키즈카페명도로명주소전화번호위도경도데이터기준일자
0기장군위드엔터테인부산광역시 기장군 장안읍 정관로 1133<NA>129.25188635.3123422023-09-07
1기장군(주)하이브리드시스템부산광역시 기장군 기장읍 기장해안로 147051-901-2624129.21255335.1922762023-09-07
2기장군한국LS레져부산광역시 기장군 기장읍 기장해안로 147 (롯데몰동부산점)051-901-2882129.21278335.1922112023-09-07
3기장군스카이라인루지 부산부산광역시 기장군 기장읍 기장해안로 205051-722-6002129.21495535.1928292023-09-07
4기장군롯데월드 어드벤처 부산부산광역시 기장군 기장읍 동부산관광로 42, 롯데월드 어드벤처 부산<NA>129.21495535.1928292023-09-07
5기장군키위키즈랜드부산광역시 기장군 장안읍 정관로 1142, 에이동 비201~비208, 비210호 (힐탑 프리미엄 아울렛)051-728-0081129.23552535.3211182023-09-07
6기장군차타타부산광역시 기장군 정관읍 달음산길 66 ((주)승우레포렉스)051-717-0501129.19544335.3124722023-09-07
7기장군맥스라이더부산광역시 기장군 정관읍 정관5로 50, 1층 (정관홈플러스)<NA>129.17638635.3230522023-09-07
8기장군샤랄랄라부산광역시 기장군 정관읍 정관2로 47, 6층051-727-6776129.16710335.3344722023-09-07
9기장군J&J엔터테인먼트부산광역시 기장군 정관읍 정관중앙로 45, 9층<NA>129.17828335.3211952023-09-07
구군명키즈카페명도로명주소전화번호위도경도데이터기준일자
14기장군닥터밸런스부산광역시 기장군 기장읍 기장해안로 147, 롯데몰 동부산점 3층051-901-2872129.21278335.1922112023-09-07
15기장군(주)아이조아키즈랜드 4부산광역시 기장군 장안읍 정관로 1120, 3층051-728-9414129.23394335.3204582023-09-07
16기장군고기살롱부산광역시 기장군 정관읍 정관로 575-3, 정관제일타워Ⅱ 801호051-728-7769129.17673835.3215342023-09-07
17기장군체리 봉봉 키즈카페부산광역시 기장군 기장읍 차성동로 63, 506호<NA>129.21637935.2433812023-09-07
18기장군(주)히어로플레이파크 부산정관점부산광역시 기장군 정관읍 정관중앙로 45, 5층051-715-0881129.17828335.3211952023-09-07
19기장군(주)리틀마운틴 동부산점부산광역시 기장군 기장읍 기장해안로 147, 롯데몰 동부산점 3층051-901-2732129.21278335.1922112023-09-07
20기장군신세계첼시 플레이타임부산광역시 기장군 장안읍 정관로 1133, 부산프리미엄아울렛 411호051-940-1696129.23494935.3237292023-09-07
21기장군카페재미부산광역시 기장군 정관읍 정관6로 56, 2층<NA>129.17969835.3186392023-09-07
22기장군튼튼방방부산광역시 기장군 정관읍 정관로 575-3, 정관제일타워Ⅱ 6층<NA>129.17673835.3215342023-09-07
23기장군(주)어메이징캠프부산부산광역시 기장군 장안읍 중치밭길 8, 일부구역(건축물제외)<NA>129.26728235.3679832023-09-07