Overview

Dataset statistics

Number of variables6
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory51.8 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description인천광역시 옹진군 음식물폐기물다량배출사업장 현황에 대한 데이터로사업장명, 주소, 전화번호 등의 항목을 제공합니다
Author인천광역시 옹진군
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15094318&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:51:16.949975
Analysis finished2024-03-18 04:51:18.862074
Duration1.91 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-18T13:51:18.924528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-03-18T13:51:19.061520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

상호명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-18T13:51:19.301032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length7.7083333
Min length3

Characters and Unicode

Total characters370
Distinct characters163
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

Unique48 ?
Unique (%)100.0%

Sample

1st row대청초.중.고등학교
2nd row덕적초.중.고등학교
3rd row백령중.고등학교
4th row백령초등학교
5th row북포초등학교
ValueCountFrequency (%)
구내식당 2
 
2.9%
영흥본부 2
 
2.9%
플로레도 2
 
2.9%
한국남동발전(주 2
 
2.9%
대청초.중.고등학교 1
 
1.4%
장촌칼국수 1
 
1.4%
바다 1
 
1.4%
하이 1
 
1.4%
강화갯벌고창풍천민물장어 1
 
1.4%
뻘다방 1
 
1.4%
Other values (56) 56
80.0%
2024-03-18T13:51:19.613059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
5.9%
스 9
 
2.4%
학 8
 
2.2%
영 8
 
2.2%
흥 8
 
2.2%
교 8
 
2.2%
등 8
 
2.2%
식 7
 
1.9%
고 7
 
1.9%
리 6
 
1.6%
Other values (153) 279
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
86.5%
Space Separator 22
 
5.9%
Other Punctuation 7
 
1.9%
Lowercase Letter 7
 
1.9%
Close Punctuation 5
 
1.4%
Open Punctuation 5
 
1.4%
Uppercase Letter 2
 
0.5%
Other Symbol 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 9
 
2.8%
학 8
 
2.5%
영 8
 
2.5%
흥 8
 
2.5%
교 8
 
2.5%
등 8
 
2.5%
식 7
 
2.2%
고 7
 
2.2%
리 6
 
1.9%
페 6
 
1.9%
Other values (136) 245
76.6%
Lowercase Letter
ValueCountFrequency (%)
t 1
14.3%
o 1
14.3%
e 1
14.3%
é 1
14.3%
f 1
14.3%
a 1
14.3%
n 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
! 1
 
14.3%
, 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
86.8%
Common 40
 
10.8%
Latin 9
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 9
 
2.8%
학 8
 
2.5%
영 8
 
2.5%
흥 8
 
2.5%
교 8
 
2.5%
등 8
 
2.5%
식 7
 
2.2%
고 7
 
2.2%
리 6
 
1.9%
페 6
 
1.9%
Other values (137) 246
76.6%
Latin
ValueCountFrequency (%)
t 1
11.1%
o 1
11.1%
P 1
11.1%
e 1
11.1%
é 1
11.1%
f 1
11.1%
a 1
11.1%
C 1
11.1%
n 1
11.1%
Common
ValueCountFrequency (%)
22
55.0%
) 5
 
12.5%
. 5
 
12.5%
( 5
 
12.5%
! 1
 
2.5%
1 1
 
2.5%
, 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
86.5%
ASCII 48
 
13.0%
None 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
45.8%
) 5
 
10.4%
. 5
 
10.4%
( 5
 
10.4%
! 1
 
2.1%
t 1
 
2.1%
o 1
 
2.1%
P 1
 
2.1%
e 1
 
2.1%
f 1
 
2.1%
Other values (5) 5
 
10.4%
Hangul
ValueCountFrequency (%)
스 9
 
2.8%
학 8
 
2.5%
영 8
 
2.5%
흥 8
 
2.5%
교 8
 
2.5%
등 8
 
2.5%
식 7
 
2.2%
고 7
 
2.2%
리 6
 
1.9%
페 6
 
1.9%
Other values (136) 245
76.6%
None
ValueCountFrequency (%)
é 1
50.0%
㈜ 1
50.0%

도로명주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-18T13:51:19.820813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length26.166667
Min length20

Characters and Unicode

Total characters1256
Distinct characters72
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)95.8%

Sample

1st row인천광역시 옹진군 대청면 대청로244번길 116-45
2nd row인천광역시 옹진군 덕적면 덕적남로 15
3rd row인천광역시 옹진군 백령면 백령로 708 ((부속2, 1층))
4th row인천광역시 옹진군 백령면 백령로316번길 91
5th row인천광역시 옹진군 백령면 가을길 117
ValueCountFrequency (%)
옹진군 48
18.0%
인천광역시 47
17.6%
영흥면 36
 
13.5%
1층 9
 
3.4%
선재로 8
 
3.0%
백령면 7
 
2.6%
영흥로 7
 
2.6%
2층 6
 
2.2%
영흥북로 5
 
1.9%
영흥남로293번길 4
 
1.5%
Other values (77) 90
33.7%
2024-03-18T13:51:20.183854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
17.4%
흥 57
 
4.5%
영 57
 
4.5%
1 50
 
4.0%
인 48
 
3.8%
군 48
 
3.8%
면 48
 
3.8%
천 48
 
3.8%
진 48
 
3.8%
옹 48
 
3.8%
Other values (62) 585
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 760
60.5%
Decimal Number 235
 
18.7%
Space Separator 219
 
17.4%
Other Punctuation 19
 
1.5%
Dash Punctuation 14
 
1.1%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Math Symbol 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 57
 
7.5%
영 57
 
7.5%
인 48
 
6.3%
군 48
 
6.3%
면 48
 
6.3%
천 48
 
6.3%
진 48
 
6.3%
옹 48
 
6.3%
시 47
 
6.2%
역 47
 
6.2%
Other values (45) 264
34.7%
Decimal Number
ValueCountFrequency (%)
1 50
21.3%
2 40
17.0%
0 24
10.2%
3 24
10.2%
4 22
9.4%
6 19
 
8.1%
9 17
 
7.2%
5 17
 
7.2%
7 14
 
6.0%
8 8
 
3.4%
Space Separator
ValueCountFrequency (%)
219
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 760
60.5%
Common 495
39.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 57
 
7.5%
영 57
 
7.5%
인 48
 
6.3%
군 48
 
6.3%
면 48
 
6.3%
천 48
 
6.3%
진 48
 
6.3%
옹 48
 
6.3%
시 47
 
6.2%
역 47
 
6.2%
Other values (45) 264
34.7%
Common
ValueCountFrequency (%)
219
44.2%
1 50
 
10.1%
2 40
 
8.1%
0 24
 
4.8%
3 24
 
4.8%
4 22
 
4.4%
, 19
 
3.8%
6 19
 
3.8%
9 17
 
3.4%
5 17
 
3.4%
Other values (6) 44
 
8.9%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 760
60.5%
ASCII 496
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
44.2%
1 50
 
10.1%
2 40
 
8.1%
0 24
 
4.8%
3 24
 
4.8%
4 22
 
4.4%
, 19
 
3.8%
6 19
 
3.8%
9 17
 
3.4%
5 17
 
3.4%
Other values (7) 45
 
9.1%
Hangul
ValueCountFrequency (%)
흥 57
 
7.5%
영 57
 
7.5%
인 48
 
6.3%
군 48
 
6.3%
면 48
 
6.3%
천 48
 
6.3%
진 48
 
6.3%
옹 48
 
6.3%
시 47
 
6.2%
역 47
 
6.2%
Other values (45) 264
34.7%

구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
일반음식점
32 
집단급식소(학교)
8 
휴게음식점
4 
집단급식소(기타)
 
3
농수산물도매시장
 
1

Length

Max length9
Median length5
Mean length5.9791667
Min length5

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row집단급식소(학교)
2nd row집단급식소(학교)
3rd row집단급식소(학교)
4th row집단급식소(학교)
5th row집단급식소(학교)

Common Values

ValueCountFrequency (%)
일반음식점 32
66.7%
집단급식소(학교) 8
 
16.7%
휴게음식점 4
 
8.3%
집단급식소(기타) 3
 
6.2%
농수산물도매시장 1
 
2.1%

Length

2024-03-18T13:51:20.300546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:51:20.387175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 32
66.7%
집단급식소(학교 8
 
16.7%
휴게음식점 4
 
8.3%
집단급식소(기타 3
 
6.2%
농수산물도매시장 1
 
2.1%

전화번호
Text

Distinct33
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-18T13:51:20.511673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.6041667
Min length1

Characters and Unicode

Total characters413
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)66.7%

Sample

1st row032-836-2013
2nd row032-832-9302
3rd row032-836-0091
4th row032-836-0014
5th row032-836-7718
ValueCountFrequency (%)
0 16
32.0%
070-8898-3183 2
 
4.0%
032-836-7009 1
 
2.0%
032-886-7108 1
 
2.0%
032-890-4275 1
 
2.0%
032-884-7108 1
 
2.0%
032-886-6712 1
 
2.0%
032-888-1118 1
 
2.0%
032-881-0301 1
 
2.0%
032-836-2013 1
 
2.0%
Other values (24) 24
48.0%
2024-03-18T13:51:20.755479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
20.1%
- 64
15.5%
8 61
14.8%
3 56
13.6%
2 41
9.9%
1 29
 
7.0%
6 20
 
4.8%
9 14
 
3.4%
7 13
 
3.1%
4 12
 
2.9%
Other values (2) 20
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 338
81.8%
Dash Punctuation 64
 
15.5%
Space Separator 11
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
24.6%
8 61
18.0%
3 56
16.6%
2 41
12.1%
1 29
 
8.6%
6 20
 
5.9%
9 14
 
4.1%
7 13
 
3.8%
4 12
 
3.6%
5 9
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 413
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83
20.1%
- 64
15.5%
8 61
14.8%
3 56
13.6%
2 41
9.9%
1 29
 
7.0%
6 20
 
4.8%
9 14
 
3.4%
7 13
 
3.1%
4 12
 
2.9%
Other values (2) 20
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 413
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
20.1%
- 64
15.5%
8 61
14.8%
3 56
13.6%
2 41
9.9%
1 29
 
7.0%
6 20
 
4.8%
9 14
 
3.4%
7 13
 
3.1%
4 12
 
2.9%
Other values (2) 20
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-08-31
48 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-31
2nd row2023-08-31
3rd row2023-08-31
4th row2023-08-31
5th row2023-08-31

Common Values

ValueCountFrequency (%)
2023-08-31 48
100.0%

Length

2024-03-18T13:51:20.881144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:51:20.950491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-31 48
100.0%

Interactions

2024-03-18T13:51:18.614845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:51:20.995778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소구분전화번호
연번1.0001.0000.9380.8910.771
상호명1.0001.0001.0001.0001.000
도로명주소0.9381.0001.0001.0000.949
구분0.8911.0001.0001.0000.945
전화번호0.7711.0000.9490.9451.000
2024-03-18T13:51:21.076524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.537
구분0.5371.000

Missing values

2024-03-18T13:51:18.744278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:51:18.826478image/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

연번상호명도로명주소구분전화번호데이터기준일자
01대청초.중.고등학교인천광역시 옹진군 대청면 대청로244번길 116-45집단급식소(학교)032-836-20132023-08-31
12덕적초.중.고등학교인천광역시 옹진군 덕적면 덕적남로 15집단급식소(학교)032-832-93022023-08-31
23백령중.고등학교인천광역시 옹진군 백령면 백령로 708 ((부속2, 1층))집단급식소(학교)032-836-00912023-08-31
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