Overview

Dataset statistics

Number of variables5
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.1 KiB
Average record size in memory41.3 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description인천광역시 서구 음식물류폐기물(음식물쓰레기) 다량 배출 사업장 현황(상호명, 소재지, 사업장 구분 등) 데이터를 포함하고 있습니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15001631

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

Reproduction

Analysis started2024-01-28 12:50:34.470852
Analysis finished2024-01-28 12:50:35.011501
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.5
Minimum1
Maximum500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-01-28T21:50:35.073278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.95
Q1125.75
median250.5
Q3375.25
95-th percentile475.05
Maximum500
Range499
Interquartile range (IQR)249.5

Descriptive statistics

Standard deviation144.48183
Coefficient of variation (CV)0.57677378
Kurtosis-1.2
Mean250.5
Median Absolute Deviation (MAD)125
Skewness0
Sum125250
Variance20875
MonotonicityStrictly increasing
2024-01-28T21:50:35.180007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
331 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
338 1
 
0.2%
337 1
 
0.2%
Other values (490) 490
98.0%
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 (%)
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%
496 1
0.2%
495 1
0.2%
494 1
0.2%
493 1
0.2%
492 1
0.2%
491 1
0.2%

상호명
Text

Distinct496
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-01-28T21:50:35.353123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length8.64
Min length2

Characters and Unicode

Total characters4320
Distinct characters451
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique492 ?
Unique (%)98.4%

Sample

1st row용현푸드
2nd row(주)신태진
3rd row(주)아시아드파크 에스엔에프 1층 카페 라운지 케렌시아
4th row(주)영산강민물장어
5th row(주)촌장
ValueCountFrequency (%)
청라점 8
 
1.3%
주)아워홈 7
 
1.1%
주식회사 7
 
1.1%
구내식당 5
 
0.8%
주)동원홈푸드 5
 
0.8%
검단점 4
 
0.6%
가좌점 3
 
0.5%
한식뷔페 3
 
0.5%
서구청점 3
 
0.5%
주)후니드 2
 
0.3%
Other values (564) 577
92.5%
2024-01-28T21:50:35.637108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 142
 
3.3%
천 136
 
3.1%
125
 
2.9%
점 105
 
2.4%
) 104
 
2.4%
( 104
 
2.4%
학 102
 
2.4%
교 101
 
2.3%
주 92
 
2.1%
등 72
 
1.7%
Other values (441) 3237
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3865
89.5%
Space Separator 125
 
2.9%
Close Punctuation 112
 
2.6%
Open Punctuation 112
 
2.6%
Uppercase Letter 41
 
0.9%
Decimal Number 27
 
0.6%
Lowercase Letter 20
 
0.5%
Other Symbol 11
 
0.3%
Other Punctuation 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 142
 
3.7%
천 136
 
3.5%
점 105
 
2.7%
학 102
 
2.6%
교 101
 
2.6%
주 92
 
2.4%
등 72
 
1.9%
스 71
 
1.8%
원 68
 
1.8%
라 63
 
1.6%
Other values (395) 2913
75.4%
Uppercase Letter
ValueCountFrequency (%)
C 10
24.4%
T 6
14.6%
F 4
 
9.8%
S 4
 
9.8%
D 3
 
7.3%
G 3
 
7.3%
B 2
 
4.9%
K 2
 
4.9%
P 2
 
4.9%
J 1
 
2.4%
Other values (4) 4
 
9.8%
Lowercase Letter
ValueCountFrequency (%)
o 6
30.0%
d 4
20.0%
s 2
 
10.0%
j 1
 
5.0%
c 1
 
5.0%
k 1
 
5.0%
n 1
 
5.0%
g 1
 
5.0%
i 1
 
5.0%
e 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 6
22.2%
2 6
22.2%
3 4
14.8%
5 2
 
7.4%
4 2
 
7.4%
9 2
 
7.4%
0 2
 
7.4%
8 1
 
3.7%
7 1
 
3.7%
6 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 2
33.3%
/ 2
33.3%
＃ 1
16.7%
& 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 104
92.9%
] 8
 
7.1%
Open Punctuation
ValueCountFrequency (%)
( 104
92.9%
[ 8
 
7.1%
Space Separator
ValueCountFrequency (%)
125
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3876
89.7%
Common 383
 
8.9%
Latin 61
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 142
 
3.7%
천 136
 
3.5%
점 105
 
2.7%
학 102
 
2.6%
교 101
 
2.6%
주 92
 
2.4%
등 72
 
1.9%
스 71
 
1.8%
원 68
 
1.8%
라 63
 
1.6%
Other values (396) 2924
75.4%
Latin
ValueCountFrequency (%)
C 10
16.4%
o 6
 
9.8%
T 6
 
9.8%
F 4
 
6.6%
d 4
 
6.6%
S 4
 
6.6%
D 3
 
4.9%
G 3
 
4.9%
B 2
 
3.3%
K 2
 
3.3%
Other values (15) 17
27.9%
Common
ValueCountFrequency (%)
125
32.6%
) 104
27.2%
( 104
27.2%
] 8
 
2.1%
[ 8
 
2.1%
1 6
 
1.6%
2 6
 
1.6%
3 4
 
1.0%
. 2
 
0.5%
5 2
 
0.5%
Other values (10) 14
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3865
89.5%
ASCII 443
 
10.3%
None 12
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 142
 
3.7%
천 136
 
3.5%
점 105
 
2.7%
학 102
 
2.6%
교 101
 
2.6%
주 92
 
2.4%
등 72
 
1.9%
스 71
 
1.8%
원 68
 
1.8%
라 63
 
1.6%
Other values (395) 2913
75.4%
ASCII
ValueCountFrequency (%)
125
28.2%
) 104
23.5%
( 104
23.5%
C 10
 
2.3%
] 8
 
1.8%
[ 8
 
1.8%
o 6
 
1.4%
1 6
 
1.4%
2 6
 
1.4%
T 6
 
1.4%
Other values (34) 60
13.5%
None
ValueCountFrequency (%)
㈜ 11
91.7%
＃ 1
 
8.3%

소재지
Text

Distinct492
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-01-28T21:50:35.895433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length30.612
Min length15

Characters and Unicode

Total characters15306
Distinct characters340
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

Unique485 ?
Unique (%)97.0%

Sample

1st row인천광역시 서구 청라동 7-1 공사현장 사무동(현장식당)
2nd row인천광역시 서구 도요지로 37(경서동,인천국제 C.C Club House)
3rd row인천광역시 서구 봉수대로 806,수익시설 내(인천아시아드주경기장) (연희동)
4th row인천광역시 서구 서달로 208(가정동,(주)영산강민물장어)
5th row인천광역시 서구 서곶로 296,촌장골 (심곡동)
ValueCountFrequency (%)
인천광역시 500
 
17.2%
서구 500
 
17.2%
가좌동 79
 
2.7%
청라동 77
 
2.7%
1층 51
 
1.8%
2층 34
 
1.2%
석남동 33
 
1.1%
심곡동 30
 
1.0%
당하동 27
 
0.9%
마전동 24
 
0.8%
Other values (880) 1550
53.4%
2024-01-28T21:50:36.276770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2405
 
15.7%
서 576
 
3.8%
천 550
 
3.6%
인 549
 
3.6%
1 531
 
3.5%
동 525
 
3.4%
로 522
 
3.4%
시 518
 
3.4%
구 517
 
3.4%
광 506
 
3.3%
Other values (330) 8107
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9058
59.2%
Space Separator 2405
 
15.7%
Decimal Number 2339
 
15.3%
Open Punctuation 500
 
3.3%
Close Punctuation 500
 
3.3%
Other Punctuation 386
 
2.5%
Dash Punctuation 57
 
0.4%
Uppercase Letter 29
 
0.2%
Math Symbol 25
 
0.2%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 576
 
6.4%
천 550
 
6.1%
인 549
 
6.1%
동 525
 
5.8%
로 522
 
5.8%
시 518
 
5.7%
구 517
 
5.7%
광 506
 
5.6%
역 501
 
5.5%
길 244
 
2.7%
Other values (298) 4050
44.7%
Decimal Number
ValueCountFrequency (%)
1 531
22.7%
2 366
15.6%
3 236
10.1%
4 212
 
9.1%
0 197
 
8.4%
5 196
 
8.4%
6 161
 
6.9%
7 160
 
6.8%
8 145
 
6.2%
9 135
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 12
41.4%
A 6
20.7%
C 5
17.2%
S 1
 
3.4%
P 1
 
3.4%
T 1
 
3.4%
H 1
 
3.4%
M 1
 
3.4%
F 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
u 2
28.6%
o 1
14.3%
b 1
14.3%
l 1
14.3%
e 1
14.3%
s 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 385
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2405
100.0%
Open Punctuation
ValueCountFrequency (%)
( 500
100.0%
Close Punctuation
ValueCountFrequency (%)
) 500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9058
59.2%
Common 6212
40.6%
Latin 36
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 576
 
6.4%
천 550
 
6.1%
인 549
 
6.1%
동 525
 
5.8%
로 522
 
5.8%
시 518
 
5.7%
구 517
 
5.7%
광 506
 
5.6%
역 501
 
5.5%
길 244
 
2.7%
Other values (298) 4050
44.7%
Common
ValueCountFrequency (%)
2405
38.7%
1 531
 
8.5%
( 500
 
8.0%
) 500
 
8.0%
, 385
 
6.2%
2 366
 
5.9%
3 236
 
3.8%
4 212
 
3.4%
0 197
 
3.2%
5 196
 
3.2%
Other values (7) 684
 
11.0%
Latin
ValueCountFrequency (%)
B 12
33.3%
A 6
16.7%
C 5
13.9%
u 2
 
5.6%
S 1
 
2.8%
P 1
 
2.8%
T 1
 
2.8%
o 1
 
2.8%
H 1
 
2.8%
b 1
 
2.8%
Other values (5) 5
13.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9058
59.2%
ASCII 6248
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2405
38.5%
1 531
 
8.5%
( 500
 
8.0%
) 500
 
8.0%
, 385
 
6.2%
2 366
 
5.9%
3 236
 
3.8%
4 212
 
3.4%
0 197
 
3.2%
5 196
 
3.1%
Other values (22) 720
 
11.5%
Hangul
ValueCountFrequency (%)
서 576
 
6.4%
천 550
 
6.1%
인 549
 
6.1%
동 525
 
5.8%
로 522
 
5.8%
시 518
 
5.7%
구 517
 
5.7%
광 506
 
5.6%
역 501
 
5.5%
길 244
 
2.7%
Other values (298) 4050
44.7%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
일반음식점
270 
집단급식소
219 
휴게음식점
 
9
대규모점포
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 270
54.0%
집단급식소 219
43.8%
휴게음식점 9
 
1.8%
대규모점포 2
 
0.4%

Length

2024-01-28T21:50:36.384782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:50:36.458301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 270
54.0%
집단급식소 219
43.8%
휴게음식점 9
 
1.8%
대규모점포 2
 
0.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-07-04 00:00:00
Maximum2023-07-04 00:00:00
2024-01-28T21:50:36.526294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:50:36.592510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T21:50:34.825144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:50:36.645923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.775
구분0.7751.000
2024-01-28T21:50:36.705827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.587
구분0.5871.000

Missing values

2024-01-28T21:50:34.909091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:50:34.981506image/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

연번상호명소재지구분데이터기준일자
01용현푸드인천광역시 서구 청라동 7-1 공사현장 사무동(현장식당)일반음식점2023-07-04
12(주)신태진인천광역시 서구 도요지로 37(경서동,인천국제 C.C Club House)일반음식점2023-07-04
23(주)아시아드파크 에스엔에프 1층 카페 라운지 케렌시아인천광역시 서구 봉수대로 806,수익시설 내(인천아시아드주경기장) (연희동)일반음식점2023-07-04
34(주)영산강민물장어인천광역시 서구 서달로 208(가정동,(주)영산강민물장어)일반음식점2023-07-04
45(주)촌장인천광역시 서구 서곶로 296,촌장골 (심곡동)일반음식점2023-07-04
56(주)평화누리국제성모장례식장인천광역시 서구 심곡로100번길 25 (심곡동,인천국제성모병원)일반음식점2023-07-04
67한마당불타는안창살인천광역시 서구 완정로165번길 8, B동 1층 (왕길동,트리플타워 주차빌딩)일반음식점2023-07-04
78[주식회사 룸코리아 인천지점]불타는 풍천장어인천광역시 서구 원당대로507번안길 16-2,1층일반음식점2023-07-04
8937.5인천검단점인천광역시 서구 원당대로 638, 1동 201호 (당하동,경원 하이뷰)일반음식점2023-07-04
910가좌동진천토종순대인천광역시 서구 담지로104번길 17-1 (청라동)일반음식점2023-07-04
연번상호명소재지구분데이터기준일자
490491롯데리아인천연희D/T점인천광역시 서구 서곶로 289 (심곡동)휴게음식점2023-07-04
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