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_20220622
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072992

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-04-21 12:14:16.287001
Analysis finished2024-04-21 12:14:17.353482
Duration1.07 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
2024-04-21T21:14:17.564476image/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
2024-04-21T21:14:17.993373image/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
13 
대규모점포
5 
어린이집(민간)
4 
Other values (7)
11 

Length

Max length10
Median length9
Mean length6.4242424
Min length2

Unique

Unique5 ?
Unique (%)7.6%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설 17
25.8%
의료기관 16
24.2%
어린이집 13
19.7%
대규모점포 5
 
7.6%
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

2024-04-21T21:14:18.445406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷컴퓨터게임시설 17
22.7%
의료기관 16
21.3%
어린이집 13
17.3%
대규모점포 5
 
6.7%
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

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-04-21T21:14:19.255495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.6515152
Min length3

Characters and Unicode

Total characters505
Distinct characters180
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

Unique64 ?
Unique (%)97.0%

Sample

1st row(주)이마트 문현점
2nd row한누리어린이집
3rd row대연어린이집
4th rowMSL외국어학원
5th row용당어린이집
ValueCountFrequency (%)
pc 7
 
8.3%
주)이마트 2
 
2.4%
경성대점 2
 
2.4%
문현점 2
 
2.4%
3pop 2
 
2.4%
새라새요양병원 1
 
1.2%
j.factory 1
 
1.2%
국립일제강제동원역사관 1
 
1.2%
새로생긴pc 1
 
1.2%
유엔평화기념관 1
 
1.2%
Other values (64) 64
76.2%
2024-04-21T21:14:20.501492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 25
 
5.0%
P 21
 
4.2%
원 20
 
4.0%
C 20
 
4.0%
18
 
3.6%
어 17
 
3.4%
린 16
 
3.2%
집 16
 
3.2%
병 16
 
3.2%
스 12
 
2.4%
Other values (170) 324
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
80.2%
Uppercase Letter 65
 
12.9%
Space Separator 18
 
3.6%
Lowercase Letter 6
 
1.2%
Open Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%
Decimal Number 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 25
 
6.2%
원 20
 
4.9%
어 17
 
4.2%
린 16
 
4.0%
집 16
 
4.0%
병 16
 
4.0%
스 12
 
3.0%
요 9
 
2.2%
산 9
 
2.2%
양 9
 
2.2%
Other values (142) 256
63.2%
Uppercase Letter
ValueCountFrequency (%)
P 21
32.3%
C 20
30.8%
B 3
 
4.6%
S 3
 
4.6%
F 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%
t 1
16.7%
c 1
16.7%
o 1
16.7%
r 1
16.7%
y 1
16.7%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
80.2%
Latin 71
 
14.1%
Common 29
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 25
 
6.2%
원 20
 
4.9%
어 17
 
4.2%
린 16
 
4.0%
집 16
 
4.0%
병 16
 
4.0%
스 12
 
3.0%
요 9
 
2.2%
산 9
 
2.2%
양 9
 
2.2%
Other values (142) 256
63.2%
Latin
ValueCountFrequency (%)
P 21
29.6%
C 20
28.2%
B 3
 
4.2%
S 3
 
4.2%
F 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 (%)
18
62.1%
( 4
 
13.8%
) 4
 
13.8%
3 2
 
6.9%
. 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
80.2%
ASCII 100
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 25
 
6.2%
원 20
 
4.9%
어 17
 
4.2%
린 16
 
4.0%
집 16
 
4.0%
병 16
 
4.0%
스 12
 
3.0%
요 9
 
2.2%
산 9
 
2.2%
양 9
 
2.2%
Other values (142) 256
63.2%
ASCII
ValueCountFrequency (%)
P 21
21.0%
C 20
20.0%
18
18.0%
( 4
 
4.0%
) 4
 
4.0%
B 3
 
3.0%
S 3
 
3.0%
F 3
 
3.0%
3 2
 
2.0%
A 2
 
2.0%
Other values (18) 20
20.0%

주소
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-04-21T21:14:21.508612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length26.590909
Min length21

Characters and Unicode

Total characters1755
Distinct characters106
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

Unique64 ?
Unique (%)97.0%

Sample

1st row부산광역시 남구 전포대로91번길 47 (문현동)
2nd row부산광역시 남구 진남로127번길 94 (대연동)
3rd row부산광역시 남구 홍곡로 313 (대연동)
4th row부산광역시 남구 수영로 312 21 센츄리시티 오피스텔 1212호 (대연동)
5th row부산광역시 남구 신선로329번길 74 (용당동)
ValueCountFrequency (%)
부산광역시 66
18.3%
남구 66
18.3%
대연동 35
 
9.7%
수영로 20
 
5.6%
용호동 13
 
3.6%
문현동 9
 
2.5%
용호로 5
 
1.4%
감만동 4
 
1.1%
2층 4
 
1.1%
3층 4
 
1.1%
Other values (113) 134
37.2%
2024-04-21T21:14:22.940212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
315
 
17.9%
동 72
 
4.1%
시 69
 
3.9%
남 67
 
3.8%
( 66
 
3.8%
) 66
 
3.8%
로 66
 
3.8%
부 66
 
3.8%
구 66
 
3.8%
역 66
 
3.8%
Other values (96) 836
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1020
58.1%
Space Separator 315
 
17.9%
Decimal Number 266
 
15.2%
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
 
7.1%
시 69
 
6.8%
남 67
 
6.6%
로 66
 
6.5%
부 66
 
6.5%
구 66
 
6.5%
역 66
 
6.5%
광 66
 
6.5%
산 66
 
6.5%
대 46
 
4.5%
Other values (72) 370
36.3%
Decimal Number
ValueCountFrequency (%)
1 55
20.7%
2 39
14.7%
3 35
13.2%
4 29
10.9%
6 28
10.5%
0 22
 
8.3%
5 19
 
7.1%
7 16
 
6.0%
9 16
 
6.0%
8 7
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
I 2
18.2%
A 2
18.2%
Z 1
9.1%
L 1
9.1%
P 1
9.1%
N 1
9.1%
O 1
9.1%
S 1
9.1%
V 1
9.1%
Space Separator
ValueCountFrequency (%)
315
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 1020
58.1%
Common 724
41.3%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 72
 
7.1%
시 69
 
6.8%
남 67
 
6.6%
로 66
 
6.5%
부 66
 
6.5%
구 66
 
6.5%
역 66
 
6.5%
광 66
 
6.5%
산 66
 
6.5%
대 46
 
4.5%
Other values (72) 370
36.3%
Common
ValueCountFrequency (%)
315
43.5%
( 66
 
9.1%
) 66
 
9.1%
1 55
 
7.6%
2 39
 
5.4%
3 35
 
4.8%
4 29
 
4.0%
6 28
 
3.9%
0 22
 
3.0%
5 19
 
2.6%
Other values (5) 50
 
6.9%
Latin
ValueCountFrequency (%)
I 2
18.2%
A 2
18.2%
Z 1
9.1%
L 1
9.1%
P 1
9.1%
N 1
9.1%
O 1
9.1%
S 1
9.1%
V 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1020
58.1%
ASCII 735
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
315
42.9%
( 66
 
9.0%
) 66
 
9.0%
1 55
 
7.5%
2 39
 
5.3%
3 35
 
4.8%
4 29
 
3.9%
6 28
 
3.8%
0 22
 
3.0%
5 19
 
2.6%
Other values (14) 61
 
8.3%
Hangul
ValueCountFrequency (%)
동 72
 
7.1%
시 69
 
6.8%
남 67
 
6.6%
로 66
 
6.5%
부 66
 
6.5%
구 66
 
6.5%
역 66
 
6.5%
광 66
 
6.5%
산 66
 
6.5%
대 46
 
4.5%
Other values (72) 370
36.3%

Interactions

2024-04-21T21:14:16.652866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:14:23.199371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군시설명주소
연번1.0000.5290.9360.936
시설군0.5291.0001.0001.000
시설명0.9361.0001.0001.000
주소0.9361.0001.0001.000
2024-04-21T21:14:23.441561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군
연번1.0000.229
시설군0.2291.000

Missing values

2024-04-21T21:14:16.978345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:14:17.248852image/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
01대규모점포(주)이마트 문현점부산광역시 남구 전포대로91번길 47 (문현동)
12어린이집한누리어린이집부산광역시 남구 진남로127번길 94 (대연동)
23어린이집대연어린이집부산광역시 남구 홍곡로 313 (대연동)
34학원MSL외국어학원부산광역시 남구 수영로 312 21 센츄리시티 오피스텔 1212호 (대연동)
45어린이집용당어린이집부산광역시 남구 신선로329번길 74 (용당동)
56의료기관가나병원부산광역시 남구 유엔평화로 156 가나병원 (용당동)
67도서관부산광역시남구도서관부산광역시 남구 수영로267번길 61 (대연동)
78대규모점포홈플러스(주) 부산감만점부산광역시 남구 우암로 124 (감만동)
89의료기관부산성소병원부산광역시 남구 수영로 175 (대연동)
910인터넷컴퓨터게임시설스푼PC방부산광역시 남구 우암로 148 (우암동)
연번시설군시설명주소
5657인터넷컴퓨터게임시설피플PC방부산광역시 남구 동명로 137 (용호동)
5758의료기관오륙도요양병원부산광역시 남구 용호로 132 (용호동)
5859인터넷컴퓨터게임시설옥스PC못골점부산광역시 남구 못골로41번길 6 2층 (대연동)
5960목욕장업의 영업시설대영온천부산광역시 남구 황령대로492번길 10 (대연동)
6061인터넷컴퓨터게임시설타이탄PC방부산광역시 남구 수영로 323 태강프라자 3층 (대연동)
6162인터넷컴퓨터게임시설아이파크PC방CS점부산광역시 남구 용소로8번길 10 상우빌딩 2층 (대연동)
6263인터넷컴퓨터게임시설메인즈PC부산광역시 남구 수영로 274-16 2층 (대연동)
6364인터넷컴퓨터게임시설3POP PC CAFE 경성대점부산광역시 남구 수영로 300 VISION PLAZA 3층 (대연동)
6465인터넷컴퓨터게임시설3POP PC부산광역시 남구 용소로13번길 26 5~6층 (대연동)
6566인터넷컴퓨터게임시설온스테이지 PC 경성대점부산광역시 남구 용소로13번길 13 5층 (대연동)