Overview

Dataset statistics

Number of variables4
Number of observations196
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory33.7 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description부산광역시_사하구_경로당현황_20230515
Author부산광역시 사하구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079275

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
경로당 명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:36:16.877849
Analysis finished2023-12-10 16:36:17.322647
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.5
Minimum1
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T01:36:17.392117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.75
Q149.75
median98.5
Q3147.25
95-th percentile186.25
Maximum196
Range195
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation56.72448
Coefficient of variation (CV)0.57588305
Kurtosis-1.2
Mean98.5
Median Absolute Deviation (MAD)49
Skewness0
Sum19306
Variance3217.6667
MonotonicityStrictly increasing
2023-12-11T01:36:17.533857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
125 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
Other values (186) 186
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%

경로당 명칭
Text

UNIQUE 

Distinct196
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T01:36:17.825159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.1734694
Min length2

Characters and Unicode

Total characters1210
Distinct characters219
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

Unique196 ?
Unique (%)100.0%

Sample

1st row괴정1동할아버지
2nd row괴정1동할머니
3rd row국제아파트
4th row자유3차아파트
5th row괴정협진태양아파트
ValueCountFrequency (%)
할머니 5
 
2.2%
할아버지 4
 
1.8%
당리 4
 
1.8%
신평 4
 
1.8%
현대아파트 3
 
1.3%
희망 2
 
0.9%
감천 2
 
0.9%
몰운대아파트 2
 
0.9%
동원 2
 
0.9%
서부 2
 
0.9%
Other values (194) 195
86.7%
2023-12-11T01:36:18.241376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 101
 
8.3%
파 91
 
7.5%
트 89
 
7.4%
동 31
 
2.6%
31
 
2.6%
지 30
 
2.5%
대 26
 
2.1%
신 24
 
2.0%
할 22
 
1.8%
림 21
 
1.7%
Other values (209) 744
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1134
93.7%
Space Separator 31
 
2.6%
Decimal Number 28
 
2.3%
Uppercase Letter 10
 
0.8%
Lowercase Letter 3
 
0.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 101
 
8.9%
파 91
 
8.0%
트 89
 
7.8%
동 31
 
2.7%
지 30
 
2.6%
대 26
 
2.3%
신 24
 
2.1%
할 22
 
1.9%
림 21
 
1.9%
장 17
 
1.5%
Other values (191) 682
60.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
B 1
10.0%
C 1
10.0%
M 1
10.0%
K 1
10.0%
W 1
10.0%
E 1
10.0%
I 1
10.0%
V 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 10
35.7%
2 9
32.1%
3 7
25.0%
4 2
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1134
93.7%
Common 63
 
5.2%
Latin 13
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 101
 
8.9%
파 91
 
8.0%
트 89
 
7.8%
동 31
 
2.7%
지 30
 
2.6%
대 26
 
2.3%
신 24
 
2.1%
할 22
 
1.9%
림 21
 
1.9%
장 17
 
1.5%
Other values (191) 682
60.1%
Latin
ValueCountFrequency (%)
e 2
15.4%
S 2
15.4%
B 1
7.7%
C 1
7.7%
M 1
7.7%
k 1
7.7%
K 1
7.7%
W 1
7.7%
E 1
7.7%
I 1
7.7%
Common
ValueCountFrequency (%)
31
49.2%
1 10
 
15.9%
2 9
 
14.3%
3 7
 
11.1%
) 2
 
3.2%
4 2
 
3.2%
( 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1134
93.7%
ASCII 76
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 101
 
8.9%
파 91
 
8.0%
트 89
 
7.8%
동 31
 
2.7%
지 30
 
2.6%
대 26
 
2.3%
신 24
 
2.1%
할 22
 
1.9%
림 21
 
1.9%
장 17
 
1.5%
Other values (191) 682
60.1%
ASCII
ValueCountFrequency (%)
31
40.8%
1 10
 
13.2%
2 9
 
11.8%
3 7
 
9.2%
e 2
 
2.6%
S 2
 
2.6%
) 2
 
2.6%
4 2
 
2.6%
( 2
 
2.6%
B 1
 
1.3%
Other values (8) 8
 
10.5%

부산광역시 도로명주소
Text

Distinct186
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T01:36:18.647680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length18.979592
Min length13

Characters and Unicode

Total characters3720
Distinct characters91
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

Unique176 ?
Unique (%)89.8%

Sample

1st row사하구 낙동대로 249번길 2-2(괴정동)
2nd row사하구 낙동대로249번길 2-2(괴정동)
3rd row사하구 사하로141번길 20(괴정동)
4th row사하구 승학로 233번길 33(괴정동)
5th row사하구 괴정로 270번길 34(괴정동)
ValueCountFrequency (%)
사하구 194
31.6%
다대로 18
 
2.9%
제석로 8
 
1.3%
다대낙조2길 8
 
1.3%
오작로 7
 
1.1%
하신번영로 6
 
1.0%
승학로 6
 
1.0%
장평로 6
 
1.0%
윤공단로 5
 
0.8%
하신중앙로 5
 
0.8%
Other values (278) 351
57.2%
2023-12-11T01:36:19.204925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
 
11.4%
하 236
 
6.3%
동 224
 
6.0%
구 206
 
5.5%
사 205
 
5.5%
( 198
 
5.3%
) 198
 
5.3%
로 181
 
4.9%
1 153
 
4.1%
2 114
 
3.1%
Other values (81) 1581
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2100
56.5%
Decimal Number 763
 
20.5%
Space Separator 424
 
11.4%
Open Punctuation 198
 
5.3%
Close Punctuation 198
 
5.3%
Dash Punctuation 32
 
0.9%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 236
 
11.2%
동 224
 
10.7%
구 206
 
9.8%
사 205
 
9.8%
로 181
 
8.6%
대 111
 
5.3%
길 104
 
5.0%
번 97
 
4.6%
다 91
 
4.3%
장 49
 
2.3%
Other values (66) 596
28.4%
Decimal Number
ValueCountFrequency (%)
1 153
20.1%
2 114
14.9%
3 94
12.3%
0 73
9.6%
4 72
9.4%
7 72
9.4%
5 60
 
7.9%
9 43
 
5.6%
6 42
 
5.5%
8 40
 
5.2%
Space Separator
ValueCountFrequency (%)
424
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2100
56.5%
Common 1620
43.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
하 236
 
11.2%
동 224
 
10.7%
구 206
 
9.8%
사 205
 
9.8%
로 181
 
8.6%
대 111
 
5.3%
길 104
 
5.0%
번 97
 
4.6%
다 91
 
4.3%
장 49
 
2.3%
Other values (66) 596
28.4%
Common
ValueCountFrequency (%)
424
26.2%
( 198
12.2%
) 198
12.2%
1 153
 
9.4%
2 114
 
7.0%
3 94
 
5.8%
0 73
 
4.5%
4 72
 
4.4%
7 72
 
4.4%
5 60
 
3.7%
Other values (5) 162
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2100
56.5%
ASCII 1620
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
26.2%
( 198
12.2%
) 198
12.2%
1 153
 
9.4%
2 114
 
7.0%
3 94
 
5.8%
0 73
 
4.5%
4 72
 
4.4%
7 72
 
4.4%
5 60
 
3.7%
Other values (5) 162
 
10.0%
Hangul
ValueCountFrequency (%)
하 236
 
11.2%
동 224
 
10.7%
구 206
 
9.8%
사 205
 
9.8%
로 181
 
8.6%
대 111
 
5.3%
길 104
 
5.0%
번 97
 
4.6%
다 91
 
4.3%
장 49
 
2.3%
Other values (66) 596
28.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-05-15 00:00:00
Maximum2023-05-15 00:00:00
2023-12-11T01:36:19.324768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:36:19.414385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:36:17.053258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:36:17.197782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:36:17.286116image/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

연번경로당 명칭부산광역시 도로명주소데이터기준일자
01괴정1동할아버지사하구 낙동대로 249번길 2-2(괴정동)2023-05-15
12괴정1동할머니사하구 낙동대로249번길 2-2(괴정동)2023-05-15
23국제아파트사하구 사하로141번길 20(괴정동)2023-05-15
34자유3차아파트사하구 승학로 233번길 33(괴정동)2023-05-15
45괴정협진태양아파트사하구 괴정로 270번길 34(괴정동)2023-05-15
56우신타워사하구 사하로141번나길 35-4(괴정동)2023-05-15
67석천할아버지사하구 승학로 281번길 73(괴정동)2023-05-15
78석천할머니사하구 승학로 281번길 73(괴정동)2023-05-15
89괴정한신아파트사하구 승학로 221(괴정동)2023-05-15
910한마음사하구 사하로141번길 108(괴정동)2023-05-15
연번경로당 명칭부산광역시 도로명주소데이터기준일자
186187감천중앙사하구 옥천로 91(감천동)2023-05-15
187188구감할머니사하구 옥천로 91(감천동)2023-05-15
188189송암사하구 옥천로 70번길 62-5(감천동)2023-05-15
189190죽전사하구 감내1로 239-2(감천동)2023-05-15
190191옥천사하구 감내1로197번길 26(감천동)(감천동 12-408번지)2023-05-15
191192영동힐타운사하구 옥천로 87(감천동)2023-05-15
192193소망사하구 감내1로10번길6(감천동) 101호2023-05-15
193194버들사하구 옥천로76번길 25-1(감천동)2023-05-15
194195반딧불사하구 감내1로 144-3(감천동)2023-05-15
195196문화마을사하구 감내2로 143번길 6-1(감천동)2023-05-15