Overview

Dataset statistics

Number of variables4
Number of observations166
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
Text3

Dataset

Description인천광역시 남동구 대형폐기물스티커판매소 현황에 대한 데이터로 연번, 지정번호, 판매소명, 사업장주소 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090633&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
지정번호 has unique valuesUnique
사업장 주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:18:32.884758
Analysis finished2024-01-28 15:18:33.309086
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.5
Minimum1
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-29T00:18:33.362018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.25
Q142.25
median83.5
Q3124.75
95-th percentile157.75
Maximum166
Range165
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation48.064193
Coefficient of variation (CV)0.57561908
Kurtosis-1.2
Mean83.5
Median Absolute Deviation (MAD)41.5
Skewness0
Sum13861
Variance2310.1667
MonotonicityStrictly increasing
2024-01-29T00:18:33.465901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
106 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 (156) 156
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 (%)
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%
157 1
0.6%

지정번호
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-29T00:18:33.673812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.0903614
Min length7

Characters and Unicode

Total characters1343
Distinct characters29
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)100.0%

Sample

1st row구월1동-026
2nd row구월1동-065
3rd row구월1동-129
4th row구월1동-170
5th row구월1동-215
ValueCountFrequency (%)
구월1동-026 1
 
0.6%
만수6동-009 1
 
0.6%
만수6동-084 1
 
0.6%
만수6동-094 1
 
0.6%
만수6동-110 1
 
0.6%
서창동-006 1
 
0.6%
서창동-036 1
 
0.6%
서창동-037 1
 
0.6%
서창동-039 1
 
0.6%
남촌동-069 1
 
0.6%
Other values (156) 156
94.0%
2024-01-29T00:18:34.035757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 166
 
12.4%
- 166
 
12.4%
0 133
 
9.9%
1 126
 
9.4%
2 97
 
7.2%
3 67
 
5.0%
4 53
 
3.9%
수 40
 
3.0%
구 37
 
2.8%
월 37
 
2.8%
Other values (19) 421
31.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 633
47.1%
Other Letter 544
40.5%
Dash Punctuation 166
 
12.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 166
30.5%
수 40
 
7.4%
구 37
 
6.8%
월 37
 
6.8%
석 36
 
6.6%
간 36
 
6.6%
만 35
 
6.4%
논 32
 
5.9%
현 32
 
5.9%
서 18
 
3.3%
Other values (8) 75
13.8%
Decimal Number
ValueCountFrequency (%)
0 133
21.0%
1 126
19.9%
2 97
15.3%
3 67
10.6%
4 53
 
8.4%
5 37
 
5.8%
6 35
 
5.5%
8 30
 
4.7%
9 29
 
4.6%
7 26
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 799
59.5%
Hangul 544
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 166
30.5%
수 40
 
7.4%
구 37
 
6.8%
월 37
 
6.8%
석 36
 
6.6%
간 36
 
6.6%
만 35
 
6.4%
논 32
 
5.9%
현 32
 
5.9%
서 18
 
3.3%
Other values (8) 75
13.8%
Common
ValueCountFrequency (%)
- 166
20.8%
0 133
16.6%
1 126
15.8%
2 97
12.1%
3 67
8.4%
4 53
 
6.6%
5 37
 
4.6%
6 35
 
4.4%
8 30
 
3.8%
9 29
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 799
59.5%
Hangul 544
40.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 166
30.5%
수 40
 
7.4%
구 37
 
6.8%
월 37
 
6.8%
석 36
 
6.6%
간 36
 
6.6%
만 35
 
6.4%
논 32
 
5.9%
현 32
 
5.9%
서 18
 
3.3%
Other values (8) 75
13.8%
ASCII
ValueCountFrequency (%)
- 166
20.8%
0 133
16.6%
1 126
15.8%
2 97
12.1%
3 67
8.4%
4 53
 
6.6%
5 37
 
4.6%
6 35
 
4.4%
8 30
 
3.8%
9 29
 
3.6%

판매소명
Text

Distinct164
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-29T00:18:34.243973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length10.86747
Min length2

Characters and Unicode

Total characters1804
Distinct characters211
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

Unique162 ?
Unique (%)97.6%

Sample

1st row하나둘마트
2nd row미니스톱 구월시청점
3rd rowCU 구월형제
4th row시연이네마트(오전/30)
5th rowGS25 인천인주점
ValueCountFrequency (%)
gs25 28
 
10.6%
세븐일레븐 14
 
5.3%
이마트24 12
 
4.5%
cu 12
 
4.5%
씨유 8
 
3.0%
주)코리아세븐 5
 
1.9%
지에스25 5
 
1.9%
미니스톱 3
 
1.1%
서창베르디움점 2
 
0.8%
만수2점 2
 
0.8%
Other values (173) 174
65.7%
2024-01-29T00:18:34.535049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
5.5%
점 97
 
5.4%
2 64
 
3.5%
트 57
 
3.2%
마 55
 
3.0%
) 55
 
3.0%
( 55
 
3.0%
5 49
 
2.7%
오 46
 
2.5%
/ 42
 
2.3%
Other values (201) 1185
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1256
69.6%
Decimal Number 188
 
10.4%
Uppercase Letter 109
 
6.0%
Space Separator 99
 
5.5%
Close Punctuation 55
 
3.0%
Open Punctuation 55
 
3.0%
Other Punctuation 42
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 97
 
7.7%
트 57
 
4.5%
마 55
 
4.4%
오 46
 
3.7%
인 40
 
3.2%
븐 38
 
3.0%
전 30
 
2.4%
구 27
 
2.1%
세 25
 
2.0%
월 24
 
1.9%
Other values (182) 817
65.0%
Decimal Number
ValueCountFrequency (%)
2 64
34.0%
5 49
26.1%
1 22
 
11.7%
4 18
 
9.6%
3 14
 
7.4%
6 6
 
3.2%
9 4
 
2.1%
7 4
 
2.1%
8 4
 
2.1%
0 3
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
G 37
33.9%
S 37
33.9%
C 16
14.7%
U 16
14.7%
R 3
 
2.8%
Space Separator
ValueCountFrequency (%)
99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1256
69.6%
Common 439
 
24.3%
Latin 109
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 97
 
7.7%
트 57
 
4.5%
마 55
 
4.4%
오 46
 
3.7%
인 40
 
3.2%
븐 38
 
3.0%
전 30
 
2.4%
구 27
 
2.1%
세 25
 
2.0%
월 24
 
1.9%
Other values (182) 817
65.0%
Common
ValueCountFrequency (%)
99
22.6%
2 64
14.6%
) 55
12.5%
( 55
12.5%
5 49
11.2%
/ 42
9.6%
1 22
 
5.0%
4 18
 
4.1%
3 14
 
3.2%
6 6
 
1.4%
Other values (4) 15
 
3.4%
Latin
ValueCountFrequency (%)
G 37
33.9%
S 37
33.9%
C 16
14.7%
U 16
14.7%
R 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1256
69.6%
ASCII 548
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
18.1%
2 64
11.7%
) 55
10.0%
( 55
10.0%
5 49
8.9%
/ 42
7.7%
G 37
 
6.8%
S 37
 
6.8%
1 22
 
4.0%
4 18
 
3.3%
Other values (9) 70
12.8%
Hangul
ValueCountFrequency (%)
점 97
 
7.7%
트 57
 
4.5%
마 55
 
4.4%
오 46
 
3.7%
인 40
 
3.2%
븐 38
 
3.0%
전 30
 
2.4%
구 27
 
2.1%
세 25
 
2.0%
월 24
 
1.9%
Other values (182) 817
65.0%

사업장 주소
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-01-29T00:18:34.778500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length47
Mean length31.313253
Min length20

Characters and Unicode

Total characters5198
Distinct characters176
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

Unique166 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 인주대로721번길 25 (구월동)
2nd row인천광역시 남동구 미래로 21 (구월동) 1층 106~107호
3rd row인천광역시 남동구 남동대로725번길5 (구월동)
4th row인천광역시 남동구 남동대로712번길 15(구월동)
5th row인천광역시 남동구 인주대로676번길 10(구월동)
ValueCountFrequency (%)
남동구 167
 
19.0%
인천광역시 166
 
18.9%
1층 29
 
3.3%
만수동 13
 
1.5%
구월동 11
 
1.3%
상가동 10
 
1.1%
서창남순환로 9
 
1.0%
간석동 9
 
1.0%
호구포로 5
 
0.6%
만수서로 5
 
0.6%
Other values (376) 453
51.7%
2024-01-29T00:18:35.117985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
711
 
13.7%
동 367
 
7.1%
1 293
 
5.6%
구 226
 
4.3%
남 202
 
3.9%
인 184
 
3.5%
천 179
 
3.4%
시 172
 
3.3%
역 170
 
3.3%
로 168
 
3.2%
Other values (166) 2526
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3049
58.7%
Decimal Number 960
 
18.5%
Space Separator 711
 
13.7%
Close Punctuation 164
 
3.2%
Open Punctuation 164
 
3.2%
Other Punctuation 117
 
2.3%
Dash Punctuation 19
 
0.4%
Math Symbol 7
 
0.1%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 367
 
12.0%
구 226
 
7.4%
남 202
 
6.6%
인 184
 
6.0%
천 179
 
5.9%
시 172
 
5.6%
역 170
 
5.6%
로 168
 
5.5%
광 167
 
5.5%
호 81
 
2.7%
Other values (145) 1133
37.2%
Decimal Number
ValueCountFrequency (%)
1 293
30.5%
0 135
14.1%
2 100
 
10.4%
5 84
 
8.8%
4 70
 
7.3%
3 66
 
6.9%
7 64
 
6.7%
8 54
 
5.6%
6 51
 
5.3%
9 43
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
C 2
28.6%
M 1
14.3%
L 1
14.3%
H 1
14.3%
Space Separator
ValueCountFrequency (%)
711
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3049
58.7%
Common 2142
41.2%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 367
 
12.0%
구 226
 
7.4%
남 202
 
6.6%
인 184
 
6.0%
천 179
 
5.9%
시 172
 
5.6%
역 170
 
5.6%
로 168
 
5.5%
광 167
 
5.5%
호 81
 
2.7%
Other values (145) 1133
37.2%
Common
ValueCountFrequency (%)
711
33.2%
1 293
13.7%
) 164
 
7.7%
( 164
 
7.7%
0 135
 
6.3%
, 117
 
5.5%
2 100
 
4.7%
5 84
 
3.9%
4 70
 
3.3%
3 66
 
3.1%
Other values (6) 238
 
11.1%
Latin
ValueCountFrequency (%)
A 2
28.6%
C 2
28.6%
M 1
14.3%
L 1
14.3%
H 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3049
58.7%
ASCII 2149
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
711
33.1%
1 293
13.6%
) 164
 
7.6%
( 164
 
7.6%
0 135
 
6.3%
, 117
 
5.4%
2 100
 
4.7%
5 84
 
3.9%
4 70
 
3.3%
3 66
 
3.1%
Other values (11) 245
 
11.4%
Hangul
ValueCountFrequency (%)
동 367
 
12.0%
구 226
 
7.4%
남 202
 
6.6%
인 184
 
6.0%
천 179
 
5.9%
시 172
 
5.6%
역 170
 
5.6%
로 168
 
5.5%
광 167
 
5.5%
호 81
 
2.7%
Other values (145) 1133
37.2%

Interactions

2024-01-29T00:18:33.129268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-29T00:18:33.219404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:18:33.283566image/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

연번지정번호판매소명사업장 주소
01구월1동-026하나둘마트인천광역시 남동구 인주대로721번길 25 (구월동)
12구월1동-065미니스톱 구월시청점인천광역시 남동구 미래로 21 (구월동) 1층 106~107호
23구월1동-129CU 구월형제인천광역시 남동구 남동대로725번길5 (구월동)
34구월1동-170시연이네마트(오전/30)인천광역시 남동구 남동대로712번길 15(구월동)
45구월1동-215GS25 인천인주점인천광역시 남동구 인주대로676번길 10(구월동)
56구월1동-216GS25구월명일점(오전/15)인천광역시 남동구 구월남로182 10호(구월동)
67구월1동-227GS25 구월아시아드점(오전/35)인천광역시 남동구 선수촌로 27 (구월동)
78구월1동-233원할인마트인천광역시 남동구 용천로5번길 46(구월동)
89구월1동-235남동구도시관리공단인천광역시 남동구 만수로19번길 10(만수동)
910구월1동-241인천문구센타인천광역시 남동구 선수촌공원로5, C동 201호(구월동, 구월테크노밸리)
연번지정번호판매소명사업장 주소
156157논현고잔동-104세븐일레븐 인천꿈에그린점인천광역시 남동구 에코중앙로156번길 13-17, 104~105호 (논현동)
157158서창2동-006GS25 서창꿈에그린점인천광역시 남동구 운연천로 11, 근린생활시설-1동 1층 110호, 111호, 112호(서창동, 인천서창꿈에그린)
158159서창2동-008세븐일레븐 서창은서점인천광역시 남동구 운연천로 7, 107호, 108호(서창동)
159160서창2동-009이마트24 서창퍼스트(오전/16)인천광역시 남동구 서창남순환로 190-17, 1층 103호, 104호(서창동, 서창LH7단지상가)
160161서창2동-012이마트24 R서창더프라임점(오전/13)인천광역시 남동구 서창남로 2-1 (서창동) 105~107호
161162서창2동-015세븐일레븐 서창베르디움점인천광역시 남동구 서창남순환로 200 (서창동, 호반 베르디움) 상가동 102호
162163서창2동-018(주)코리아세븐 인천서창행복점인천광역시 남동구 서창남로 109(서창동, 인천서창엘에이치15단지) 상가동 1층 104,105호
163164서창2동-020GS25 서창스퀘어점인천광역시 남동구 서창남순환로216번길 20(서창동) 1층 106호
164165서창2동-022웰빙마트(오전/15)인천광역시 남동구 서창방산로 158(서창동)
165166서창2동-023지에스25 서창오드리점(오전/8)인천광역시 남동구 서창남순환로 55(서창동, 서창센트럴푸르지오) 상가동 103,104호