Overview

Dataset statistics

Number of variables4
Number of observations66
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory34.9 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description부산광역시남구_다중이용시설냉온정수기설치신고현황_20230619
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072992

Alerts

연번 has unique valuesUnique
시설명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-04-21 12:14:07.039228
Analysis finished2024-04-21 12:14:08.354273
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.5
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-21T21:14:08.566643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median33.5
Q349.75
95-th percentile62.75
Maximum66
Range65
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation19.196354
Coefficient of variation (CV)0.57302549
Kurtosis-1.2
Mean33.5
Median Absolute Deviation (MAD)16.5
Skewness0
Sum2211
Variance368.5
MonotonicityStrictly increasing
2024-04-21T21:14:09.000348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
51 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
44 1
 
1.5%
Other values (56) 56
84.8%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%
57 1
1.5%

시설군
Categorical

Distinct12
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size656.0 B
인터넷컴퓨터게임시설
17 
의료기관
16 
어린이집
14 
대규모점포
4 
어린이집(민간)
4 
Other values (7)
11 

Length

Max length10
Median length9
Mean length6.4090909
Min length2

Unique

Unique5 ?
Unique (%)7.6%

Sample

1st row어린이집
2nd row어린이집
3rd row학원
4th row어린이집
5th row의료기관

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설 17
25.8%
의료기관 16
24.2%
어린이집 14
21.2%
대규모점포 4
 
6.1%
어린이집(민간) 4
 
6.1%
박물관 및 미술관 3
 
4.5%
목욕장업의 영업시설 3
 
4.5%
학원 1
 
1.5%
도서관 1
 
1.5%
산후조리원 1
 
1.5%
Other values (2) 2
 
3.0%

Length

2024-04-21T21:14:09.454064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷컴퓨터게임시설 17
22.7%
의료기관 16
21.3%
어린이집 14
18.7%
대규모점포 4
 
5.3%
어린이집(민간 4
 
5.3%
박물관 3
 
4.0%
및 3
 
4.0%
미술관 3
 
4.0%
목욕장업의 3
 
4.0%
영업시설 3
 
4.0%
Other values (5) 5
 
6.7%

시설명
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-04-21T21:14:10.255144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.6666667
Min length3

Characters and Unicode

Total characters506
Distinct characters182
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row한누리어린이집
2nd row대연어린이집
3rd rowMSL외국어학원
4th row용당어린이집
5th row가나병원
ValueCountFrequency (%)
pc 7
 
8.4%
3pop 2
 
2.4%
경성대점 2
 
2.4%
한누리어린이집 1
 
1.2%
bifc어린이집 1
 
1.2%
국립일제강제동원역사관 1
 
1.2%
새로생긴pc 1
 
1.2%
유엔평화기념관 1
 
1.2%
해피실버타운 1
 
1.2%
새라새요양병원 1
 
1.2%
Other values (65) 65
78.3%
2024-04-21T21:14:11.482444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 25
 
4.9%
P 21
 
4.2%
C 20
 
4.0%
원 20
 
4.0%
어 18
 
3.6%
린 17
 
3.4%
집 17
 
3.4%
17
 
3.4%
병 16
 
3.2%
스 12
 
2.4%
Other values (172) 323
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 409
80.8%
Uppercase Letter 65
 
12.8%
Space Separator 17
 
3.4%
Lowercase Letter 6
 
1.2%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%
Decimal Number 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 25
 
6.1%
원 20
 
4.9%
어 18
 
4.4%
린 17
 
4.2%
집 17
 
4.2%
병 16
 
3.9%
스 12
 
2.9%
양 9
 
2.2%
대 9
 
2.2%
산 9
 
2.2%
Other values (144) 257
62.8%
Uppercase Letter
ValueCountFrequency (%)
P 21
32.3%
C 20
30.8%
B 3
 
4.6%
F 3
 
4.6%
S 3
 
4.6%
A 2
 
3.1%
I 2
 
3.1%
O 2
 
3.1%
J 1
 
1.5%
E 1
 
1.5%
Other values (7) 7
 
10.8%
Lowercase Letter
ValueCountFrequency (%)
a 1
16.7%
c 1
16.7%
t 1
16.7%
y 1
16.7%
r 1
16.7%
o 1
16.7%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 409
80.8%
Latin 71
 
14.0%
Common 26
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 25
 
6.1%
원 20
 
4.9%
어 18
 
4.4%
린 17
 
4.2%
집 17
 
4.2%
병 16
 
3.9%
스 12
 
2.9%
양 9
 
2.2%
대 9
 
2.2%
산 9
 
2.2%
Other values (144) 257
62.8%
Latin
ValueCountFrequency (%)
P 21
29.6%
C 20
28.2%
B 3
 
4.2%
F 3
 
4.2%
S 3
 
4.2%
A 2
 
2.8%
I 2
 
2.8%
O 2
 
2.8%
J 1
 
1.4%
a 1
 
1.4%
Other values (13) 13
18.3%
Common
ValueCountFrequency (%)
17
65.4%
) 3
 
11.5%
( 3
 
11.5%
3 2
 
7.7%
. 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 409
80.8%
ASCII 97
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 25
 
6.1%
원 20
 
4.9%
어 18
 
4.4%
린 17
 
4.2%
집 17
 
4.2%
병 16
 
3.9%
스 12
 
2.9%
양 9
 
2.2%
대 9
 
2.2%
산 9
 
2.2%
Other values (144) 257
62.8%
ASCII
ValueCountFrequency (%)
P 21
21.6%
C 20
20.6%
17
17.5%
B 3
 
3.1%
F 3
 
3.1%
) 3
 
3.1%
( 3
 
3.1%
S 3
 
3.1%
A 2
 
2.1%
I 2
 
2.1%
Other values (18) 20
20.6%

주소
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-04-21T21:14:12.453462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length26.666667
Min length21

Characters and Unicode

Total characters1760
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row부산광역시 남구 진남로127번길 94 (대연동)
2nd row부산광역시 남구 홍곡로 313 (대연동)
3rd row부산광역시 남구 수영로 312 21 센츄리시티 오피스텔 1212호 (대연동)
4th row부산광역시 남구 신선로329번길 74 (용당동)
5th row부산광역시 남구 유엔평화로 156 가나병원 (용당동)
ValueCountFrequency (%)
부산광역시 66
18.3%
남구 66
18.3%
대연동 35
 
9.7%
수영로 20
 
5.5%
용호동 14
 
3.9%
문현동 8
 
2.2%
용호로 5
 
1.4%
3층 4
 
1.1%
2층 4
 
1.1%
감만동 4
 
1.1%
Other values (116) 135
37.4%
2024-04-21T21:14:13.835746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
18.0%
동 72
 
4.1%
시 70
 
4.0%
남 67
 
3.8%
로 67
 
3.8%
부 66
 
3.8%
( 66
 
3.8%
광 66
 
3.8%
역 66
 
3.8%
구 66
 
3.8%
Other values (99) 837
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1024
58.2%
Space Separator 317
 
18.0%
Decimal Number 265
 
15.1%
Open Punctuation 66
 
3.8%
Close Punctuation 66
 
3.8%
Uppercase Letter 11
 
0.6%
Dash Punctuation 10
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 72
 
7.0%
시 70
 
6.8%
남 67
 
6.5%
로 67
 
6.5%
부 66
 
6.4%
광 66
 
6.4%
역 66
 
6.4%
구 66
 
6.4%
산 66
 
6.4%
대 45
 
4.4%
Other values (75) 373
36.4%
Decimal Number
ValueCountFrequency (%)
1 57
21.5%
2 39
14.7%
3 35
13.2%
6 28
10.6%
4 28
10.6%
0 22
 
8.3%
5 19
 
7.2%
9 15
 
5.7%
7 15
 
5.7%
8 7
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
18.2%
A 2
18.2%
S 1
9.1%
V 1
9.1%
O 1
9.1%
N 1
9.1%
P 1
9.1%
L 1
9.1%
Z 1
9.1%
Space Separator
ValueCountFrequency (%)
317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1024
58.2%
Common 725
41.2%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 72
 
7.0%
시 70
 
6.8%
남 67
 
6.5%
로 67
 
6.5%
부 66
 
6.4%
광 66
 
6.4%
역 66
 
6.4%
구 66
 
6.4%
산 66
 
6.4%
대 45
 
4.4%
Other values (75) 373
36.4%
Common
ValueCountFrequency (%)
317
43.7%
( 66
 
9.1%
) 66
 
9.1%
1 57
 
7.9%
2 39
 
5.4%
3 35
 
4.8%
6 28
 
3.9%
4 28
 
3.9%
0 22
 
3.0%
5 19
 
2.6%
Other values (5) 48
 
6.6%
Latin
ValueCountFrequency (%)
I 2
18.2%
A 2
18.2%
S 1
9.1%
V 1
9.1%
O 1
9.1%
N 1
9.1%
P 1
9.1%
L 1
9.1%
Z 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
58.2%
ASCII 736
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
43.1%
( 66
 
9.0%
) 66
 
9.0%
1 57
 
7.7%
2 39
 
5.3%
3 35
 
4.8%
6 28
 
3.8%
4 28
 
3.8%
0 22
 
3.0%
5 19
 
2.6%
Other values (14) 59
 
8.0%
Hangul
ValueCountFrequency (%)
동 72
 
7.0%
시 70
 
6.8%
남 67
 
6.5%
로 67
 
6.5%
부 66
 
6.4%
광 66
 
6.4%
역 66
 
6.4%
구 66
 
6.4%
산 66
 
6.4%
대 45
 
4.4%
Other values (75) 373
36.4%

Interactions

2024-04-21T21:14:07.445741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:14:14.095006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군시설명주소
연번1.0000.2551.0001.000
시설군0.2551.0001.0001.000
시설명1.0001.0001.0001.000
주소1.0001.0001.0001.000
2024-04-21T21:14:14.337850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군
연번1.0000.142
시설군0.1421.000

Missing values

2024-04-21T21:14:07.981481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:14:08.248969image/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

연번시설군시설명주소
01어린이집한누리어린이집부산광역시 남구 진남로127번길 94 (대연동)
12어린이집대연어린이집부산광역시 남구 홍곡로 313 (대연동)
23학원MSL외국어학원부산광역시 남구 수영로 312 21 센츄리시티 오피스텔 1212호 (대연동)
34어린이집용당어린이집부산광역시 남구 신선로329번길 74 (용당동)
45의료기관가나병원부산광역시 남구 유엔평화로 156 가나병원 (용당동)
56도서관부산광역시남구도서관부산광역시 남구 수영로267번길 61 (대연동)
67대규모점포홈플러스(주) 부산감만점부산광역시 남구 우암로 124 (감만동)
78의료기관부산성소병원부산광역시 남구 수영로 175 (대연동)
89인터넷컴퓨터게임시설스푼PC방부산광역시 남구 우암로 148 (우암동)
910의료기관제니스파크요양병원부산광역시 남구 우암양달로75번길 29 (우암동)
연번시설군시설명주소
5657의료기관오륙도요양병원부산광역시 남구 용호로 132 (용호동)
5758인터넷컴퓨터게임시설옥스PC못골점부산광역시 남구 못골로41번길 6 2층 (대연동)
5859목욕장업의 영업시설대영온천부산광역시 남구 황령대로492번길 10 (대연동)
5960인터넷컴퓨터게임시설타이탄PC방부산광역시 남구 수영로 323 태강프라자 3층 (대연동)
6061인터넷컴퓨터게임시설아이파크PC방CS점부산광역시 남구 용소로8번길 10 상우빌딩 2층 (대연동)
6162인터넷컴퓨터게임시설메인즈PC부산광역시 남구 수영로 274-16 2층 (대연동)
6263인터넷컴퓨터게임시설3POP PC CAFE 경성대점부산광역시 남구 수영로 300 VISION PLAZA 3층 (대연동)
6364인터넷컴퓨터게임시설3POP PC부산광역시 남구 용소로13번길 26 5~6층 (대연동)
6465인터넷컴퓨터게임시설온스테이지 PC 경성대점부산광역시 남구 용소로13번길 13 5층 (대연동)
6566어린이집엘지메트로시티어린이집부산광역시 남구 분포로 111 (용호동 엘지메트로시티)