Overview

Dataset statistics

Number of variables4
Number of observations407
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory33.3 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description경상남도 양산시 관내 결식아동 지정 급식소 현황에 대한 데이터로 읍면동명, 가맹점명, 가맹점주소 등의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15104902/fileData.do

Alerts

순번 is highly overall correlated with 읍_면_동High correlation
읍_면_동 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:25:58.894848
Analysis finished2023-12-12 16:25:59.583364
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct407
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204
Minimum1
Maximum407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-13T01:25:59.672359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.3
Q1102.5
median204
Q3305.5
95-th percentile386.7
Maximum407
Range406
Interquartile range (IQR)203

Descriptive statistics

Standard deviation117.63503
Coefficient of variation (CV)0.5766423
Kurtosis-1.2
Mean204
Median Absolute Deviation (MAD)102
Skewness0
Sum83028
Variance13838
MonotonicityStrictly increasing
2023-12-13T01:25:59.861452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
269 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
Other values (397) 397
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%
401 1
0.2%
400 1
0.2%
399 1
0.2%
398 1
0.2%

읍_면_동
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
물금읍
102 
서창동
47 
평산동
43 
중앙동
42 
동면
31 
Other values (8)
142 

Length

Max length3
Median length3
Mean length2.9238329
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row물금읍
2nd row물금읍
3rd row물금읍
4th row물금읍
5th row물금읍

Common Values

ValueCountFrequency (%)
물금읍 102
25.1%
서창동 47
11.5%
평산동 43
10.6%
중앙동 42
10.3%
동면 31
 
7.6%
삼성동 27
 
6.6%
소주동 26
 
6.4%
상북면 21
 
5.2%
양주동 19
 
4.7%
하북면 17
 
4.2%
Other values (3) 32
 
7.9%

Length

2023-12-13T01:26:00.025245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 102
25.1%
서창동 47
11.5%
평산동 43
10.6%
중앙동 42
10.3%
동면 31
 
7.6%
삼성동 27
 
6.6%
소주동 26
 
6.4%
상북면 21
 
5.2%
양주동 19
 
4.7%
하북면 17
 
4.2%
Other values (3) 32
 
7.9%

가맹점명
Text

Distinct402
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T01:26:00.338205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.496314
Min length3

Characters and Unicode

Total characters4272
Distinct characters337
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

Unique399 ?
Unique (%)98.0%

Sample

1st row월수금통돼지찌개물금점
2nd row밀양장수돼지국밥
3rd row킴스 고기백화점
4th row보니타(Bonita)
5th row채움 고기백화점
ValueCountFrequency (%)
gs25 107
 
15.1%
cu 91
 
12.8%
세븐일레븐 48
 
6.8%
파리바게트 10
 
1.4%
파리바게뜨 6
 
0.8%
김밥천국 4
 
0.6%
한솥도시락 4
 
0.6%
양산석산점 4
 
0.6%
양산서창점 3
 
0.4%
우리동네 3
 
0.4%
Other values (395) 429
60.5%
2023-12-13T01:26:00.758661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 318
 
7.4%
302
 
7.1%
) 266
 
6.2%
( 266
 
6.2%
산 223
 
5.2%
양 180
 
4.2%
2 113
 
2.6%
S 109
 
2.6%
5 109
 
2.6%
G 107
 
2.5%
Other values (327) 2279
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2780
65.1%
Uppercase Letter 419
 
9.8%
Space Separator 302
 
7.1%
Close Punctuation 266
 
6.2%
Open Punctuation 266
 
6.2%
Decimal Number 232
 
5.4%
Lowercase Letter 6
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 318
 
11.4%
산 223
 
8.0%
양 180
 
6.5%
븐 97
 
3.5%
일 65
 
2.3%
세 57
 
2.1%
레 53
 
1.9%
금 46
 
1.7%
트 43
 
1.5%
리 42
 
1.5%
Other values (300) 1656
59.6%
Uppercase Letter
ValueCountFrequency (%)
S 109
26.0%
G 107
25.5%
C 94
22.4%
U 91
21.7%
H 7
 
1.7%
L 4
 
1.0%
B 3
 
0.7%
D 1
 
0.2%
I 1
 
0.2%
J 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 113
48.7%
5 109
47.0%
1 5
 
2.2%
7 2
 
0.9%
6 2
 
0.9%
0 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
e 1
16.7%
t 1
16.7%
o 1
16.7%
n 1
16.7%
i 1
16.7%
a 1
16.7%
Space Separator
ValueCountFrequency (%)
302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2781
65.1%
Common 1066
 
25.0%
Latin 425
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 318
 
11.4%
산 223
 
8.0%
양 180
 
6.5%
븐 97
 
3.5%
일 65
 
2.3%
세 57
 
2.0%
레 53
 
1.9%
금 46
 
1.7%
트 43
 
1.5%
리 42
 
1.5%
Other values (301) 1657
59.6%
Latin
ValueCountFrequency (%)
S 109
25.6%
G 107
25.2%
C 94
22.1%
U 91
21.4%
H 7
 
1.6%
L 4
 
0.9%
B 3
 
0.7%
e 1
 
0.2%
D 1
 
0.2%
t 1
 
0.2%
Other values (7) 7
 
1.6%
Common
ValueCountFrequency (%)
302
28.3%
) 266
25.0%
( 266
25.0%
2 113
 
10.6%
5 109
 
10.2%
1 5
 
0.5%
7 2
 
0.2%
6 2
 
0.2%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2780
65.1%
ASCII 1491
34.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 318
 
11.4%
산 223
 
8.0%
양 180
 
6.5%
븐 97
 
3.5%
일 65
 
2.3%
세 57
 
2.1%
레 53
 
1.9%
금 46
 
1.7%
트 43
 
1.5%
리 42
 
1.5%
Other values (300) 1656
59.6%
ASCII
ValueCountFrequency (%)
302
20.3%
) 266
17.8%
( 266
17.8%
2 113
 
7.6%
S 109
 
7.3%
5 109
 
7.3%
G 107
 
7.2%
C 94
 
6.3%
U 91
 
6.1%
H 7
 
0.5%
Other values (16) 27
 
1.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct405
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-13T01:26:01.153752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length24.899263
Min length15

Characters and Unicode

Total characters10134
Distinct characters249
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique403 ?
Unique (%)99.0%

Sample

1st row경상남도 양산시 물금읍 화합3길 5, 1층
2nd row경상남도 양산시 물금읍 화합길 40, 1층
3rd row경상남도 양산시 물금읍 청운로 188, 1층 111,112호(나래시티)
4th row경상남도 양산시 물금읍 증산역로 177, 라피에스타 지하1층 농협하나로마트 양산점
5th row경상남도 양산시 물금읍 서들로 148, 106호 107호(채움빌딩)
ValueCountFrequency (%)
양산시 404
 
18.5%
경상남도 402
 
18.4%
물금읍 96
 
4.4%
1층 51
 
2.3%
동면 29
 
1.3%
상북면 20
 
0.9%
101호 17
 
0.8%
하북면 15
 
0.7%
중부동 14
 
0.6%
11 13
 
0.6%
Other values (629) 1125
51.5%
2023-12-13T01:26:01.826874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1827
18.0%
1 568
 
5.6%
산 533
 
5.3%
상 475
 
4.7%
양 468
 
4.6%
남 432
 
4.3%
시 430
 
4.2%
도 416
 
4.1%
경 407
 
4.0%
동 246
 
2.4%
Other values (239) 4332
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6095
60.1%
Space Separator 1827
 
18.0%
Decimal Number 1661
 
16.4%
Close Punctuation 167
 
1.6%
Open Punctuation 167
 
1.6%
Other Punctuation 135
 
1.3%
Dash Punctuation 57
 
0.6%
Uppercase Letter 22
 
0.2%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 533
 
8.7%
상 475
 
7.8%
양 468
 
7.7%
남 432
 
7.1%
시 430
 
7.1%
도 416
 
6.8%
경 407
 
6.7%
동 246
 
4.0%
로 225
 
3.7%
호 166
 
2.7%
Other values (209) 2297
37.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
27.3%
L 3
13.6%
E 2
 
9.1%
N 2
 
9.1%
A 2
 
9.1%
D 1
 
4.5%
Y 1
 
4.5%
C 1
 
4.5%
I 1
 
4.5%
J 1
 
4.5%
Other values (2) 2
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 568
34.2%
2 190
 
11.4%
0 179
 
10.8%
3 140
 
8.4%
5 120
 
7.2%
4 118
 
7.1%
7 115
 
6.9%
6 95
 
5.7%
8 79
 
4.8%
9 57
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 132
97.8%
. 3
 
2.2%
Space Separator
ValueCountFrequency (%)
1827
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6095
60.1%
Common 4015
39.6%
Latin 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 533
 
8.7%
상 475
 
7.8%
양 468
 
7.7%
남 432
 
7.1%
시 430
 
7.1%
도 416
 
6.8%
경 407
 
6.7%
동 246
 
4.0%
로 225
 
3.7%
호 166
 
2.7%
Other values (209) 2297
37.7%
Common
ValueCountFrequency (%)
1827
45.5%
1 568
 
14.1%
2 190
 
4.7%
0 179
 
4.5%
) 167
 
4.2%
( 167
 
4.2%
3 140
 
3.5%
, 132
 
3.3%
5 120
 
3.0%
4 118
 
2.9%
Other values (7) 407
 
10.1%
Latin
ValueCountFrequency (%)
B 6
25.0%
L 3
12.5%
E 2
 
8.3%
l 2
 
8.3%
N 2
 
8.3%
A 2
 
8.3%
D 1
 
4.2%
Y 1
 
4.2%
C 1
 
4.2%
I 1
 
4.2%
Other values (3) 3
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6095
60.1%
ASCII 4039
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1827
45.2%
1 568
 
14.1%
2 190
 
4.7%
0 179
 
4.4%
) 167
 
4.1%
( 167
 
4.1%
3 140
 
3.5%
, 132
 
3.3%
5 120
 
3.0%
4 118
 
2.9%
Other values (20) 431
 
10.7%
Hangul
ValueCountFrequency (%)
산 533
 
8.7%
상 475
 
7.8%
양 468
 
7.7%
남 432
 
7.1%
시 430
 
7.1%
도 416
 
6.8%
경 407
 
6.7%
동 246
 
4.0%
로 225
 
3.7%
호 166
 
2.7%
Other values (209) 2297
37.7%

Interactions

2023-12-13T01:25:59.263547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:26:01.938763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번읍_면_동
순번1.0000.927
읍_면_동0.9271.000
2023-12-13T01:26:02.045905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번읍_면_동
순번1.0000.736
읍_면_동0.7361.000

Missing values

2023-12-13T01:25:59.438877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:25:59.542384image/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

순번읍_면_동가맹점명주소
01물금읍월수금통돼지찌개물금점경상남도 양산시 물금읍 화합3길 5, 1층
12물금읍밀양장수돼지국밥경상남도 양산시 물금읍 화합길 40, 1층
23물금읍킴스 고기백화점경상남도 양산시 물금읍 청운로 188, 1층 111,112호(나래시티)
34물금읍보니타(Bonita)경상남도 양산시 물금읍 증산역로 177, 라피에스타 지하1층 농협하나로마트 양산점
45물금읍채움 고기백화점경상남도 양산시 물금읍 서들로 148, 106호 107호(채움빌딩)
56물금읍뚜레주르 양산증산역점경상남도 양산시 물금읍 야리3길 14, 1층
67물금읍화오뎅경상남도 양산시 물금읍 범어로 36. 1층
78물금읍GS25 (양산양우점)경상남도 양산시 물금읍 물금로 178, 1층 105호
89물금읍GS25 (물금오션점)경상남도 양산시 물금읍 청운로 177, 101호
910물금읍GS25 (물금대로점)경상남도 양산시 물금읍 황산로 643
순번읍_면_동가맹점명주소
397398덕계동GS25 (매곡공단점)경상남도 양산시 매곡외산로 118
398399덕계동CU (양산매곡공단점)경상남도 양산시 매곡외산로 121
399400덕계동CU (덕계동일점)경상남도 양산시 덕계7길 5-16
400401덕계동파리바게뜨양산덕계점경상남도 양산시 덕계동1004
401402덕계동GS25 (덕계스파점)경상남도 양산시 덕계로 13
402403덕계동GS25 (양산덕계점)경상남도 양산시 덕계로 85
403404덕계동GS25 (덕계동일점)경상남도 양산시 덕계로 41-1
404405덕계동신전떡볶이경상남도 양산시 교동1길 7(교동)
405406덕계동맘스터치(덕계점)경상남도 양산시 덕계로 52 (덕계동)
406407덕계동정통손짜장경상남도 양산시 덕계1길 8 (덕계동)