Overview

Dataset statistics

Number of variables4
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory35.9 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description인천광역시 중구 결식아동 급식지원 지정업체 현황입니다. 푸르미급식카드로 식사를 결제할 수 있는 식당 목록입니다.
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15095436&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:48:50.106363
Analysis finished2024-01-28 06:48:50.514614
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-01-28T15:48:50.571296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2024-01-28T15:48:50.676174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

명칭
Text

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-01-28T15:48:50.865013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length10.195652
Min length3

Characters and Unicode

Total characters469
Distinct characters137
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

Unique43 ?
Unique (%)93.5%

Sample

1st rowCU(구,훼미리마트)(인천중구)
2nd row코리아세븐(인천중구)
3rd row한국미니스톱㈜(인천중구)
4th row지에스리테일(GS25)(인천중구)
5th row바이더웨이(인천중구)
ValueCountFrequency (%)
영종하늘도시점 6
 
8.6%
반찬대통령 3
 
4.3%
본죽 3
 
4.3%
뚜레쥬르 3
 
4.3%
운서역점 2
 
2.9%
본도시락 2
 
2.9%
파리바게뜨 2
 
2.9%
본죽&비빔밥 2
 
2.9%
파리바게트 2
 
2.9%
운서점 2
 
2.9%
Other values (43) 43
61.4%
2024-01-28T15:48:51.247648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 28
 
6.0%
24
 
5.1%
도 17
 
3.6%
시 16
 
3.4%
( 16
 
3.4%
) 16
 
3.4%
영 13
 
2.8%
종 13
 
2.8%
천 11
 
2.3%
신 10
 
2.1%
Other values (127) 305
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
84.4%
Space Separator 24
 
5.1%
Open Punctuation 16
 
3.4%
Close Punctuation 16
 
3.4%
Uppercase Letter 5
 
1.1%
Lowercase Letter 4
 
0.9%
Decimal Number 4
 
0.9%
Other Punctuation 3
 
0.6%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 28
 
7.1%
도 17
 
4.3%
시 16
 
4.0%
영 13
 
3.3%
종 13
 
3.3%
천 11
 
2.8%
신 10
 
2.5%
인 10
 
2.5%
리 10
 
2.5%
하 9
 
2.3%
Other values (110) 259
65.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
G 1
20.0%
U 1
20.0%
C 1
20.0%
V 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
d 1
25.0%
r 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
84.6%
Common 63
 
13.4%
Latin 9
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 28
 
7.1%
도 17
 
4.3%
시 16
 
4.0%
영 13
 
3.3%
종 13
 
3.3%
천 11
 
2.8%
신 10
 
2.5%
인 10
 
2.5%
리 10
 
2.5%
하 9
 
2.3%
Other values (111) 260
65.5%
Common
ValueCountFrequency (%)
24
38.1%
( 16
25.4%
) 16
25.4%
2 2
 
3.2%
& 2
 
3.2%
4 1
 
1.6%
5 1
 
1.6%
, 1
 
1.6%
Latin
ValueCountFrequency (%)
e 2
22.2%
S 1
11.1%
G 1
11.1%
U 1
11.1%
C 1
11.1%
d 1
11.1%
r 1
11.1%
V 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
84.4%
ASCII 72
 
15.4%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 28
 
7.1%
도 17
 
4.3%
시 16
 
4.0%
영 13
 
3.3%
종 13
 
3.3%
천 11
 
2.8%
신 10
 
2.5%
인 10
 
2.5%
리 10
 
2.5%
하 9
 
2.3%
Other values (110) 259
65.4%
ASCII
ValueCountFrequency (%)
24
33.3%
( 16
22.2%
) 16
22.2%
e 2
 
2.8%
2 2
 
2.8%
& 2
 
2.8%
4 1
 
1.4%
5 1
 
1.4%
S 1
 
1.4%
G 1
 
1.4%
Other values (6) 6
 
8.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

주소
Text

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-01-28T15:48:51.518736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length22.391304
Min length2

Characters and Unicode

Total characters1030
Distinct characters104
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

Unique38 ?
Unique (%)82.6%

Sample

1st row전국
2nd row전국
3rd row전국
4th row전국
5th row전국
ValueCountFrequency (%)
중구 41
 
18.1%
인천광역시 41
 
18.1%
1층 10
 
4.4%
영종대로 7
 
3.1%
전국 6
 
2.6%
7 4
 
1.8%
제물량로 4
 
1.8%
운서동 4
 
1.8%
중산동 3
 
1.3%
우현로 3
 
1.3%
Other values (84) 104
45.8%
2024-01-28T15:48:51.949270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
17.7%
1 55
 
5.3%
중 48
 
4.7%
시 43
 
4.2%
인 43
 
4.2%
천 41
 
4.0%
광 41
 
4.0%
역 41
 
4.0%
구 41
 
4.0%
로 35
 
3.4%
Other values (94) 460
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
59.6%
Space Separator 182
 
17.7%
Decimal Number 167
 
16.2%
Other Punctuation 21
 
2.0%
Open Punctuation 18
 
1.7%
Close Punctuation 18
 
1.7%
Dash Punctuation 9
 
0.9%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 48
 
7.8%
시 43
 
7.0%
인 43
 
7.0%
천 41
 
6.7%
광 41
 
6.7%
역 41
 
6.7%
구 41
 
6.7%
로 35
 
5.7%
동 22
 
3.6%
길 15
 
2.4%
Other values (78) 244
39.7%
Decimal Number
ValueCountFrequency (%)
1 55
32.9%
4 18
 
10.8%
9 16
 
9.6%
7 14
 
8.4%
2 14
 
8.4%
5 13
 
7.8%
3 11
 
6.6%
0 10
 
6.0%
8 8
 
4.8%
6 8
 
4.8%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
59.6%
Common 415
40.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 48
 
7.8%
시 43
 
7.0%
인 43
 
7.0%
천 41
 
6.7%
광 41
 
6.7%
역 41
 
6.7%
구 41
 
6.7%
로 35
 
5.7%
동 22
 
3.6%
길 15
 
2.4%
Other values (78) 244
39.7%
Common
ValueCountFrequency (%)
182
43.9%
1 55
 
13.3%
, 21
 
5.1%
4 18
 
4.3%
( 18
 
4.3%
) 18
 
4.3%
9 16
 
3.9%
7 14
 
3.4%
2 14
 
3.4%
5 13
 
3.1%
Other values (5) 46
 
11.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
59.6%
ASCII 416
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
43.8%
1 55
 
13.2%
, 21
 
5.0%
4 18
 
4.3%
( 18
 
4.3%
) 18
 
4.3%
9 16
 
3.8%
7 14
 
3.4%
2 14
 
3.4%
5 13
 
3.1%
Other values (6) 47
 
11.3%
Hangul
ValueCountFrequency (%)
중 48
 
7.8%
시 43
 
7.0%
인 43
 
7.0%
천 41
 
6.7%
광 41
 
6.7%
역 41
 
6.7%
구 41
 
6.7%
로 35
 
5.7%
동 22
 
3.6%
길 15
 
2.4%
Other values (78) 244
39.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2022-12-06 00:00:00
Maximum2022-12-06 00:00:00
2024-01-28T15:48:52.045099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:48:52.121619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T15:48:50.341377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:48:52.172654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번명칭주소
순번1.0000.8220.991
명칭0.8221.0000.944
주소0.9910.9441.000

Missing values

2024-01-28T15:48:50.422680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:48:50.489176image/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

순번명칭주소데이터기준일
01CU(구,훼미리마트)(인천중구)전국2022-12-06
12코리아세븐(인천중구)전국2022-12-06
23한국미니스톱㈜(인천중구)전국2022-12-06
34지에스리테일(GS25)(인천중구)전국2022-12-06
45바이더웨이(인천중구)전국2022-12-06
56(주)이마트24(인천중구)전국2022-12-06
67놀이터인천광역시 중구 제물량로 129, 1층 (답동)2022-12-06
78반찬대통령인천광역시 중구 우현로 45번길 72022-12-06
89파리바게트(신포시장점)인천광역시 중구 내동 209-49, 1층2022-12-06
910파리바게트(신흥사거리점)인천광역시 중구 서해대로 458 (신흥동 2가)2022-12-06
순번명칭주소데이터기준일
3637죠샌드위치 운서역점인천광역시 중구 영종대로 94, 115호2022-12-06
3738김가네김밥 운서역점인천광역시 중구 영종대로 94, 107호2022-12-06
3839본도시락 영종도운서점인천광역시 중구 영종대로 120 (운서동, 두손에어파스텔)2022-12-06
3940한솥도시락(공항신도시점)인천광역시 중구 흰바위로 31, 1082022-12-06
4041파리바게트 운서점인천광역시 중구 넙디로 13 1층2022-12-06
4142본죽&비빔밥 영종운서넙디점인천광역시 중구 영종대로 327번길 4 (운서동)2022-12-06
4243봉구스밥버거 영종공항고점인천광역시 중구 인천광역시 중구2022-12-06
4344뚜레쥬르 신공항신도시인천광역시 중구 흰바위로 412022-12-06
4445본죽 공항신도시점인천광역시 중구 영종대로 84 (운서동, 신공항파크빌)2022-12-06
4546샐러디아 운서점인천광역시 중구 영종대로 173, 109호(운서동, 리치아노 골드)2022-12-06