Overview

Dataset statistics

Number of variables4
Number of observations167
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory33.8 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description부산광역시 남구 경로당현황에 관한 자료로부산광역시 남구에 위치한 경로당의 명칭, 주소, 신고일자 등의 내용을 제공하고 있습니다.
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15054579/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:39:45.490753
Analysis finished2024-03-23 05:39:46.285762
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct167
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-23T14:39:46.404417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.3
Q142.5
median84
Q3125.5
95-th percentile158.7
Maximum167
Range166
Interquartile range (IQR)83

Descriptive statistics

Standard deviation48.35287
Coefficient of variation (CV)0.5756294
Kurtosis-1.2
Mean84
Median Absolute Deviation (MAD)42
Skewness0
Sum14028
Variance2338
MonotonicityStrictly increasing
2024-03-23T14:39:46.636147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
116 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (157) 157
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%

명칭
Text

Distinct166
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T14:39:47.160639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.9101796
Min length2

Characters and Unicode

Total characters820
Distinct characters197
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)98.8%

Sample

1st row대연1동
2nd row솔밭
3rd row대남
4th row대평
5th row북부(남)
ValueCountFrequency (%)
송정 2
 
1.1%
롯데캐슬레전드 2
 
1.1%
문현 2
 
1.1%
우암자유2차a 1
 
0.6%
우정 1
 
0.6%
우암뉴서울a 1
 
0.6%
참좋은회관 1
 
0.6%
우암동일 1
 
0.6%
우암제일 1
 
0.6%
우암동1통 1
 
0.6%
Other values (161) 161
92.5%
2024-03-23T14:39:48.377850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 36
 
4.4%
A 26
 
3.2%
동 26
 
3.2%
파 23
 
2.8%
트 21
 
2.6%
현 21
 
2.6%
아 20
 
2.4%
문 16
 
2.0%
용 16
 
2.0%
연 16
 
2.0%
Other values (187) 599
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 713
87.0%
Uppercase Letter 43
 
5.2%
Decimal Number 23
 
2.8%
Open Punctuation 13
 
1.6%
Close Punctuation 13
 
1.6%
Space Separator 13
 
1.6%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 36
 
5.0%
동 26
 
3.6%
파 23
 
3.2%
트 21
 
2.9%
현 21
 
2.9%
아 20
 
2.8%
문 16
 
2.2%
용 16
 
2.2%
연 16
 
2.2%
우 16
 
2.2%
Other values (168) 502
70.4%
Uppercase Letter
ValueCountFrequency (%)
A 26
60.5%
S 4
 
9.3%
G 3
 
7.0%
K 3
 
7.0%
W 2
 
4.7%
L 2
 
4.7%
E 1
 
2.3%
I 1
 
2.3%
V 1
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 9
39.1%
2 8
34.8%
4 3
 
13.0%
3 2
 
8.7%
5 1
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 713
87.0%
Common 64
 
7.8%
Latin 43
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 36
 
5.0%
동 26
 
3.6%
파 23
 
3.2%
트 21
 
2.9%
현 21
 
2.9%
아 20
 
2.8%
문 16
 
2.2%
용 16
 
2.2%
연 16
 
2.2%
우 16
 
2.2%
Other values (168) 502
70.4%
Common
ValueCountFrequency (%)
( 13
20.3%
) 13
20.3%
13
20.3%
1 9
14.1%
2 8
12.5%
4 3
 
4.7%
3 2
 
3.1%
· 1
 
1.6%
- 1
 
1.6%
5 1
 
1.6%
Latin
ValueCountFrequency (%)
A 26
60.5%
S 4
 
9.3%
G 3
 
7.0%
K 3
 
7.0%
W 2
 
4.7%
L 2
 
4.7%
E 1
 
2.3%
I 1
 
2.3%
V 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 713
87.0%
ASCII 106
 
12.9%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 36
 
5.0%
동 26
 
3.6%
파 23
 
3.2%
트 21
 
2.9%
현 21
 
2.9%
아 20
 
2.8%
문 16
 
2.2%
용 16
 
2.2%
연 16
 
2.2%
우 16
 
2.2%
Other values (168) 502
70.4%
ASCII
ValueCountFrequency (%)
A 26
24.5%
( 13
12.3%
) 13
12.3%
13
12.3%
1 9
 
8.5%
2 8
 
7.5%
S 4
 
3.8%
G 3
 
2.8%
K 3
 
2.8%
4 3
 
2.8%
Other values (8) 11
10.4%
None
ValueCountFrequency (%)
· 1
100.0%

주소
Text

Distinct154
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-23T14:39:48.906529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length11.053892
Min length6

Characters and Unicode

Total characters1846
Distinct characters79
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

Unique141 ?
Unique (%)84.4%

Sample

1st row유엔로 181
2nd row유엔평화로 22번길 32
3rd row유엔평화로22번길 32(대연동) 2층
4th row유엔평화로17번길 98-1
5th row황령대로353번길 22
ValueCountFrequency (%)
번길 16
 
4.4%
유엔로 8
 
2.2%
22 6
 
1.6%
용호로 5
 
1.4%
동명로 5
 
1.4%
61 4
 
1.1%
지게골로 4
 
1.1%
번가길 4
 
1.1%
황령대로319번가길 4
 
1.1%
분포로 3
 
0.8%
Other values (225) 306
83.8%
2024-03-23T14:39:49.875407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
264
 
14.3%
로 167
 
9.0%
1 145
 
7.9%
번 112
 
6.1%
길 110
 
6.0%
2 100
 
5.4%
3 85
 
4.6%
6 79
 
4.3%
9 59
 
3.2%
0 53
 
2.9%
Other values (69) 672
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 832
45.1%
Decimal Number 700
37.9%
Space Separator 264
 
14.3%
Dash Punctuation 36
 
2.0%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 167
20.1%
번 112
 
13.5%
길 110
 
13.2%
동 30
 
3.6%
대 24
 
2.9%
포 20
 
2.4%
용 19
 
2.3%
유 19
 
2.3%
명 16
 
1.9%
영 16
 
1.9%
Other values (54) 299
35.9%
Decimal Number
ValueCountFrequency (%)
1 145
20.7%
2 100
14.3%
3 85
12.1%
6 79
11.3%
9 59
8.4%
0 53
 
7.6%
4 51
 
7.3%
5 45
 
6.4%
7 45
 
6.4%
8 38
 
5.4%
Space Separator
ValueCountFrequency (%)
264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1014
54.9%
Hangul 832
45.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 167
20.1%
번 112
 
13.5%
길 110
 
13.2%
동 30
 
3.6%
대 24
 
2.9%
포 20
 
2.4%
용 19
 
2.3%
유 19
 
2.3%
명 16
 
1.9%
영 16
 
1.9%
Other values (54) 299
35.9%
Common
ValueCountFrequency (%)
264
26.0%
1 145
14.3%
2 100
 
9.9%
3 85
 
8.4%
6 79
 
7.8%
9 59
 
5.8%
0 53
 
5.2%
4 51
 
5.0%
5 45
 
4.4%
7 45
 
4.4%
Other values (5) 88
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1014
54.9%
Hangul 832
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
264
26.0%
1 145
14.3%
2 100
 
9.9%
3 85
 
8.4%
6 79
 
7.8%
9 59
 
5.8%
0 53
 
5.2%
4 51
 
5.0%
5 45
 
4.4%
7 45
 
4.4%
Other values (5) 88
 
8.7%
Hangul
ValueCountFrequency (%)
로 167
20.1%
번 112
 
13.5%
길 110
 
13.2%
동 30
 
3.6%
대 24
 
2.9%
포 20
 
2.4%
용 19
 
2.3%
유 19
 
2.3%
명 16
 
1.9%
영 16
 
1.9%
Other values (54) 299
35.9%

신고일자
Date

Distinct115
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1989-06-30 00:00:00
Maximum2023-10-24 00:00:00
2024-03-23T14:39:50.218666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:39:50.507876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-23T14:39:45.764898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-23T14:39:46.060466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:39:46.226411image/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

연번명칭주소신고일자
01대연1동유엔로 1811994-10-13
12솔밭유엔평화로 22번길 321997-07-16
23대남유엔평화로22번길 32(대연동) 2층1989-06-30
34대평유엔평화로17번길 98-12018-06-20
45북부(남)황령대로353번길 221989-06-30
56북부부녀황령대로353번길 221989-06-30
67용소(남)용소로40번길 221989-06-30
78용소제2용소로40번길 22(2층)1989-06-30
89동부(남)수영로366번길 231989-06-30
910대연롯데캐슬수영로325번길 612015-08-20
연번명칭주소신고일자
157158경동리인아파트문현로 36-1 105동 1층2022-07-05
158159문현베스티움아파트고동골로 29, 103동 1층2023-08-23
159160대연양우내안애수영로 1172023-10-24
160161동심지게골로 1801989-06-30
161162동심부녀지게골로 1801989-06-30
162163벽산기린지게골로 52-151991-02-28
163164문현시티프라자A수영로 262000-02-08
164165문현4동장고개로 791989-06-30
165166문현4동할머니장고개로 791989-06-30
166167지게골복지관지게골로 139-332006-06-08