Overview

Dataset statistics

Number of variables4
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory35.1 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description부산광역시남구다중이용시설현황_20200618
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072992

Alerts

연번 is highly overall correlated with 시설군High correlation
시설군 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-04-21 12:13:59.646771
Analysis finished2024-04-21 12:14:00.731137
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.5
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size686.0 B
2024-04-21T21:14:00.861115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.05
Q116.25
median31.5
Q346.75
95-th percentile58.95
Maximum62
Range61
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation18.041619
Coefficient of variation (CV)0.5727498
Kurtosis-1.2
Mean31.5
Median Absolute Deviation (MAD)15.5
Skewness0
Sum1953
Variance325.5
MonotonicityStrictly increasing
2024-04-21T21:14:01.114729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
48 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (52) 52
83.9%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%

시설군
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size624.0 B
의료기관
16 
어린이집
15 
PC영업시설
14 
목욕장
4 
대규모점포
4 
Other values (7)
9 

Length

Max length6
Median length4
Mean length4.4677419
Min length2

Unique

Unique5 ?
Unique (%)8.1%

Sample

1st row도서관
2nd row박물관
3rd row박물관
4th row장례식장
5th row목욕장

Common Values

ValueCountFrequency (%)
의료기관 16
25.8%
어린이집 15
24.2%
PC영업시설 14
22.6%
목욕장 4
 
6.5%
대규모점포 4
 
6.5%
박물관 2
 
3.2%
노인요양시설 2
 
3.2%
도서관 1
 
1.6%
장례식장 1
 
1.6%
학원 1
 
1.6%
Other values (2) 2
 
3.2%

Length

2024-04-21T21:14:01.373490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의료기관 16
25.8%
어린이집 15
24.2%
pc영업시설 14
22.6%
목욕장 4
 
6.5%
대규모점포 4
 
6.5%
박물관 2
 
3.2%
노인요양시설 2
 
3.2%
도서관 1
 
1.6%
장례식장 1
 
1.6%
학원 1
 
1.6%
Other values (2) 2
 
3.2%

시설명
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size624.0 B
2024-04-21T21:14:02.093961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.1129032
Min length3

Characters and Unicode

Total characters441
Distinct characters173
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

Unique62 ?
Unique (%)100.0%

Sample

1st row부산광역시남구도서관
2nd row부산시립박물관
3rd row유엔평화기념관
4th row부산성모병원장례식장
5th row중앙해수랜드
ValueCountFrequency (%)
pc 6
 
8.0%
3pop 2
 
2.7%
pc방 2
 
2.7%
제니스파크요양병원 1
 
1.3%
글로벌어린이집 1
 
1.3%
인창대연요양병원 1
 
1.3%
오륙도요양병원 1
 
1.3%
용당요양병원 1
 
1.3%
새라새요양병원 1
 
1.3%
효메디요양병원 1
 
1.3%
Other values (58) 58
77.3%
2024-04-21T21:14:03.046197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 20
 
4.5%
이 20
 
4.5%
병 17
 
3.9%
어 16
 
3.6%
P 16
 
3.6%
린 15
 
3.4%
집 15
 
3.4%
C 14
 
3.2%
13
 
2.9%
산 10
 
2.3%
Other values (163) 285
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
79.1%
Uppercase Letter 54
 
12.2%
Lowercase Letter 14
 
3.2%
Space Separator 13
 
2.9%
Other Punctuation 3
 
0.7%
Decimal Number 2
 
0.5%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Other Symbol 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 20
 
5.7%
이 20
 
5.7%
병 17
 
4.9%
어 16
 
4.6%
린 15
 
4.3%
집 15
 
4.3%
산 10
 
2.9%
스 10
 
2.9%
양 9
 
2.6%
요 9
 
2.6%
Other values (132) 208
59.6%
Uppercase Letter
ValueCountFrequency (%)
P 16
29.6%
C 14
25.9%
F 3
 
5.6%
B 3
 
5.6%
O 3
 
5.6%
S 2
 
3.7%
A 2
 
3.7%
I 2
 
3.7%
X 2
 
3.7%
H 1
 
1.9%
Other values (6) 6
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
c 4
28.6%
o 3
21.4%
p 2
14.3%
r 1
 
7.1%
y 1
 
7.1%
t 1
 
7.1%
a 1
 
7.1%
k 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
? 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Decimal Number
ValueCountFrequency (%)
3 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
79.6%
Latin 68
 
15.4%
Common 22
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 20
 
5.7%
이 20
 
5.7%
병 17
 
4.8%
어 16
 
4.6%
린 15
 
4.3%
집 15
 
4.3%
산 10
 
2.8%
스 10
 
2.8%
양 9
 
2.6%
요 9
 
2.6%
Other values (133) 210
59.8%
Latin
ValueCountFrequency (%)
P 16
23.5%
C 14
20.6%
c 4
 
5.9%
F 3
 
4.4%
o 3
 
4.4%
B 3
 
4.4%
O 3
 
4.4%
S 2
 
2.9%
p 2
 
2.9%
A 2
 
2.9%
Other values (14) 16
23.5%
Common
ValueCountFrequency (%)
13
59.1%
3 2
 
9.1%
) 2
 
9.1%
( 2
 
9.1%
. 2
 
9.1%
? 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
79.1%
ASCII 90
 
20.4%
None 2
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 20
 
5.7%
이 20
 
5.7%
병 17
 
4.9%
어 16
 
4.6%
린 15
 
4.3%
집 15
 
4.3%
산 10
 
2.9%
스 10
 
2.9%
양 9
 
2.6%
요 9
 
2.6%
Other values (132) 208
59.6%
ASCII
ValueCountFrequency (%)
P 16
17.8%
C 14
15.6%
13
14.4%
c 4
 
4.4%
F 3
 
3.3%
o 3
 
3.3%
B 3
 
3.3%
O 3
 
3.3%
S 2
 
2.2%
3 2
 
2.2%
Other values (20) 27
30.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

주소
Text

Distinct59
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size624.0 B
2024-04-21T21:14:03.947883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length24.306452
Min length21

Characters and Unicode

Total characters1507
Distinct characters72
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

Unique56 ?
Unique (%)90.3%

Sample

1st row부산광역시 남구 수영로267번길 61 (대연동)
2nd row부산광역시 남구 유엔평화로 63 (대연동)
3rd row부산광역시 남구 홍곡로320번길 106 (대연동)
4th row부산광역시 남구 용호로232번길 25-14 (용호동)
5th row부산광역시 남구 용호로 64 (용호동)
ValueCountFrequency (%)
부산광역시 62
19.9%
남구 62
19.9%
대연동 31
 
9.9%
수영로 19
 
6.1%
용호동 14
 
4.5%
문현동 8
 
2.6%
용호로 5
 
1.6%
감만동 4
 
1.3%
용당동 3
 
1.0%
우암로 2
 
0.6%
Other values (91) 102
32.7%
2024-04-21T21:14:05.069447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
257
 
17.1%
동 66
 
4.4%
남 63
 
4.2%
부 62
 
4.1%
광 62
 
4.1%
역 62
 
4.1%
시 62
 
4.1%
구 62
 
4.1%
로 62
 
4.1%
) 62
 
4.1%
Other values (62) 687
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 886
58.8%
Space Separator 257
 
17.1%
Decimal Number 229
 
15.2%
Close Punctuation 62
 
4.1%
Open Punctuation 62
 
4.1%
Dash Punctuation 10
 
0.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
 
7.4%
남 63
 
7.1%
부 62
 
7.0%
광 62
 
7.0%
역 62
 
7.0%
시 62
 
7.0%
구 62
 
7.0%
로 62
 
7.0%
산 62
 
7.0%
대 37
 
4.2%
Other values (47) 286
32.3%
Decimal Number
ValueCountFrequency (%)
1 44
19.2%
2 31
13.5%
3 28
12.2%
4 27
11.8%
6 27
11.8%
0 20
8.7%
5 16
 
7.0%
9 16
 
7.0%
7 14
 
6.1%
8 6
 
2.6%
Space Separator
ValueCountFrequency (%)
257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 886
58.8%
Common 621
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
 
7.4%
남 63
 
7.1%
부 62
 
7.0%
광 62
 
7.0%
역 62
 
7.0%
시 62
 
7.0%
구 62
 
7.0%
로 62
 
7.0%
산 62
 
7.0%
대 37
 
4.2%
Other values (47) 286
32.3%
Common
ValueCountFrequency (%)
257
41.4%
) 62
 
10.0%
( 62
 
10.0%
1 44
 
7.1%
2 31
 
5.0%
3 28
 
4.5%
4 27
 
4.3%
6 27
 
4.3%
0 20
 
3.2%
5 16
 
2.6%
Other values (5) 47
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 886
58.8%
ASCII 621
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
257
41.4%
) 62
 
10.0%
( 62
 
10.0%
1 44
 
7.1%
2 31
 
5.0%
3 28
 
4.5%
4 27
 
4.3%
6 27
 
4.3%
0 20
 
3.2%
5 16
 
2.6%
Other values (5) 47
 
7.6%
Hangul
ValueCountFrequency (%)
동 66
 
7.4%
남 63
 
7.1%
부 62
 
7.0%
광 62
 
7.0%
역 62
 
7.0%
시 62
 
7.0%
구 62
 
7.0%
로 62
 
7.0%
산 62
 
7.0%
대 37
 
4.2%
Other values (47) 286
32.3%

Interactions

2024-04-21T21:14:00.034695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:14:05.223955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군시설명주소
연번1.0000.8431.0000.807
시설군0.8431.0001.0000.000
시설명1.0001.0001.0001.000
주소0.8070.0001.0001.000
2024-04-21T21:14:05.375632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설군
연번1.0000.551
시설군0.5511.000

Missing values

2024-04-21T21:14:00.359479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:14:00.628252image/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
01도서관부산광역시남구도서관부산광역시 남구 수영로267번길 61 (대연동)
12박물관부산시립박물관부산광역시 남구 유엔평화로 63 (대연동)
23박물관유엔평화기념관부산광역시 남구 홍곡로320번길 106 (대연동)
34장례식장부산성모병원장례식장부산광역시 남구 용호로232번길 25-14 (용호동)
45목욕장중앙해수랜드부산광역시 남구 용호로 64 (용호동)
56목욕장대림찜질사우나부산광역시 남구 수영로 26 (문현동)
67목욕장㈜센츄리스포렉스부산광역시 남구 수영로 312 (대연동)
78목욕장대영온천부산광역시 남구 황령대로492번길 10 (대연동)
89대규모점포(주)이마트 문현점부산광역시 남구 전포대로91번길 47 (문현동)
910대규모점포스파크부산광역시 남구 수영로 305 (대연동)
연번시설군시설명주소
5253어린이집한빛어린이집부산광역시 남구 장고개로 85번가길 16 (문현동)
5354어린이집한솔어린이집부산광역시 남구 양지골로 149 (감만동)
5455어린이집해누리어린이집부산광역시 남구 동명로146번길 3 (용호동)
5556어린이집해뜨는어린이집부산광역시 남구 용호로269번길 10 (용호동)
5657어린이집행복한어린이집부산광역시 남구 못골로 91-12 (대연동)
5758어린이집호산나어린이집부산광역시 남구 용호로106번가길 14 (용호동)
5859어린이집BIFC어린이집부산광역시 남구 문현금융로 40 (문현동)
5960노인요양시설구세군부산요양원부산광역시 남구 용소로7번길 105 (대연동)
6061노인요양시설해피실버타운부산광역시 남구 동명로101번길 37-7 (용호동)
6162산후조리원마미캠프산후조리원부산광역시 남구 수영로 294 (대연동)