Overview

Dataset statistics

Number of variables5
Number of observations154
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory41.9 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description전라남도 광양시 음식물류 폐기물 다량배출사업장 현황으로 업소명, 업종, 소재지 등의 정보를 전국민 대상으로 무료로 제공합니다.
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15099350/fileData.do

Alerts

데이터 기준일 has constant value ""Constant
연번 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:41:39.343801
Analysis finished2023-12-12 06:41:39.895502
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.5
Minimum1
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T15:41:39.974925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.65
Q139.25
median77.5
Q3115.75
95-th percentile146.35
Maximum154
Range153
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation44.600075
Coefficient of variation (CV)0.57548484
Kurtosis-1.2
Mean77.5
Median Absolute Deviation (MAD)38.5
Skewness0
Sum11935
Variance1989.1667
MonotonicityStrictly increasing
2023-12-12T15:41:40.118469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
107 1
 
0.6%
100 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
Other values (144) 144
93.5%
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 (%)
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%
145 1
0.6%

유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반음식점
78 
집단급식소
68 
도시락
 
6
대규모점포
 
1
관광숙박업
 
1

Length

Max length5
Median length5
Mean length4.9220779
Min length3

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 78
50.6%
집단급식소 68
44.2%
도시락 6
 
3.9%
대규모점포 1
 
0.6%
관광숙박업 1
 
0.6%

Length

2023-12-12T15:41:40.279354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:41:40.401021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 78
50.6%
집단급식소 68
44.2%
도시락 6
 
3.9%
대규모점포 1
 
0.6%
관광숙박업 1
 
0.6%

업소명
Text

Distinct153
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T15:41:40.669875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length6.9480519
Min length2

Characters and Unicode

Total characters1070
Distinct characters284
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

Unique152 ?
Unique (%)98.7%

Sample

1st row부영함바식당 2호점
2nd row바우네나주곰탕
3rd row만리장성
4th row티크루즈
5th row맛나도시락
ValueCountFrequency (%)
주식회사 3
 
1.6%
어머니도시락 2
 
1.1%
포스코 2
 
1.1%
정진홈푸드 2
 
1.1%
㈜정진홈푸드 2
 
1.1%
광양점 2
 
1.1%
광양중동중학교 1
 
0.5%
성황초등학교 1
 
0.5%
신세계푸드 1
 
0.5%
조선내화점 1
 
0.5%
Other values (166) 166
90.7%
2023-12-12T15:41:41.079821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 46
 
4.3%
양 45
 
4.2%
교 39
 
3.6%
학 39
 
3.6%
30
 
2.8%
등 28
 
2.6%
초 20
 
1.9%
한 18
 
1.7%
식 18
 
1.7%
점 17
 
1.6%
Other values (274) 770
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 992
92.7%
Space Separator 30
 
2.8%
Other Symbol 10
 
0.9%
Close Punctuation 10
 
0.9%
Open Punctuation 9
 
0.8%
Uppercase Letter 8
 
0.7%
Lowercase Letter 6
 
0.6%
Decimal Number 3
 
0.3%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 46
 
4.6%
양 45
 
4.5%
교 39
 
3.9%
학 39
 
3.9%
등 28
 
2.8%
초 20
 
2.0%
한 18
 
1.8%
식 18
 
1.8%
점 17
 
1.7%
중 15
 
1.5%
Other values (256) 707
71.3%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
j 1
16.7%
c 1
16.7%
k 1
16.7%
e 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
I 2
25.0%
C 2
25.0%
T 2
25.0%
O 1
12.5%
D 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1002
93.6%
Common 54
 
5.0%
Latin 14
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 46
 
4.6%
양 45
 
4.5%
교 39
 
3.9%
학 39
 
3.9%
등 28
 
2.8%
초 20
 
2.0%
한 18
 
1.8%
식 18
 
1.8%
점 17
 
1.7%
중 15
 
1.5%
Other values (257) 717
71.6%
Latin
ValueCountFrequency (%)
s 2
14.3%
I 2
14.3%
C 2
14.3%
T 2
14.3%
j 1
7.1%
c 1
7.1%
k 1
7.1%
e 1
7.1%
O 1
7.1%
D 1
7.1%
Common
ValueCountFrequency (%)
30
55.6%
) 10
 
18.5%
( 9
 
16.7%
2 2
 
3.7%
& 1
 
1.9%
, 1
 
1.9%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 992
92.7%
ASCII 68
 
6.4%
None 10
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 46
 
4.6%
양 45
 
4.5%
교 39
 
3.9%
학 39
 
3.9%
등 28
 
2.8%
초 20
 
2.0%
한 18
 
1.8%
식 18
 
1.8%
점 17
 
1.7%
중 15
 
1.5%
Other values (256) 707
71.3%
ASCII
ValueCountFrequency (%)
30
44.1%
) 10
 
14.7%
( 9
 
13.2%
s 2
 
2.9%
I 2
 
2.9%
C 2
 
2.9%
T 2
 
2.9%
2 2
 
2.9%
j 1
 
1.5%
c 1
 
1.5%
Other values (7) 7
 
10.3%
None
ValueCountFrequency (%)
㈜ 10
100.0%

소재지
Text

Distinct147
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T15:41:41.329020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length20.850649
Min length16

Characters and Unicode

Total characters3211
Distinct characters130
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)92.2%

Sample

1st row전라남도 광양시 광양읍 유당로 64-7
2nd row전라남도 광양시 중마동 행정2길 2
3rd row전라남도 광양시 광영동 광영로 28
4th row전라남도 광양시 중마동 항만13로 23-6
5th row전라남도 광양시 태인동 백운1로 9-6
ValueCountFrequency (%)
전라남도 154
20.3%
광양시 154
20.3%
중마동 55
 
7.2%
광양읍 52
 
6.9%
금호동 16
 
2.1%
광영동 9
 
1.2%
제철로 6
 
0.8%
1층 6
 
0.8%
항만9로 6
 
0.8%
광장로 5
 
0.7%
Other values (216) 296
39.0%
2023-12-12T15:41:41.702138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
620
19.3%
광 226
 
7.0%
양 209
 
6.5%
시 159
 
5.0%
남 157
 
4.9%
도 155
 
4.8%
전 154
 
4.8%
라 154
 
4.8%
1 103
 
3.2%
동 102
 
3.2%
Other values (120) 1172
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2076
64.7%
Space Separator 620
 
19.3%
Decimal Number 475
 
14.8%
Dash Punctuation 27
 
0.8%
Other Punctuation 7
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 226
 
10.9%
양 209
 
10.1%
시 159
 
7.7%
남 157
 
7.6%
도 155
 
7.5%
전 154
 
7.4%
라 154
 
7.4%
동 102
 
4.9%
로 94
 
4.5%
중 70
 
3.4%
Other values (104) 596
28.7%
Decimal Number
ValueCountFrequency (%)
1 103
21.7%
2 61
12.8%
3 55
11.6%
0 46
9.7%
6 46
9.7%
4 42
8.8%
9 35
 
7.4%
5 34
 
7.2%
7 30
 
6.3%
8 23
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
. 2
 
28.6%
Space Separator
ValueCountFrequency (%)
620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2076
64.7%
Common 1135
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 226
 
10.9%
양 209
 
10.1%
시 159
 
7.7%
남 157
 
7.6%
도 155
 
7.5%
전 154
 
7.4%
라 154
 
7.4%
동 102
 
4.9%
로 94
 
4.5%
중 70
 
3.4%
Other values (104) 596
28.7%
Common
ValueCountFrequency (%)
620
54.6%
1 103
 
9.1%
2 61
 
5.4%
3 55
 
4.8%
0 46
 
4.1%
6 46
 
4.1%
4 42
 
3.7%
9 35
 
3.1%
5 34
 
3.0%
7 30
 
2.6%
Other values (6) 63
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2076
64.7%
ASCII 1135
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
620
54.6%
1 103
 
9.1%
2 61
 
5.4%
3 55
 
4.8%
0 46
 
4.1%
6 46
 
4.1%
4 42
 
3.7%
9 35
 
3.1%
5 34
 
3.0%
7 30
 
2.6%
Other values (6) 63
 
5.6%
Hangul
ValueCountFrequency (%)
광 226
 
10.9%
양 209
 
10.1%
시 159
 
7.7%
남 157
 
7.6%
도 155
 
7.5%
전 154
 
7.4%
라 154
 
7.4%
동 102
 
4.9%
로 94
 
4.5%
중 70
 
3.4%
Other values (104) 596
28.7%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2022-03-15 00:00:00
Maximum2022-03-15 00:00:00
2023-12-12T15:41:41.808200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:41:41.894503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:41:39.630784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:41:41.960806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형
연번1.0000.882
유형0.8821.000
2023-12-12T15:41:42.033731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형
연번1.0000.550
유형0.5501.000

Missing values

2023-12-12T15:41:39.755577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:41:39.858288image/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

연번유형업소명소재지데이터 기준일
01일반음식점부영함바식당 2호점전라남도 광양시 광양읍 유당로 64-72022-03-15
12일반음식점바우네나주곰탕전라남도 광양시 중마동 행정2길 22022-03-15
23일반음식점만리장성전라남도 광양시 광영동 광영로 282022-03-15
34일반음식점티크루즈전라남도 광양시 중마동 항만13로 23-62022-03-15
45일반음식점맛나도시락전라남도 광양시 태인동 백운1로 9-62022-03-15
56일반음식점행복한젠시오전라남도 광양시 광양읍 와룡 4길 32022-03-15
67일반음식점산해미활어회센타전라남도 광양시 중마동 발섬6길 322022-03-15
78일반음식점홍익돈까스전라남도 광양시 중마동 항마13로 25 1층2022-03-15
89일반음식점명륜진사갈비전라남도 광양시 중마동 눈소로 162022-03-15
910일반음식점백운관전라남도 광양시 중마동 항만13로 23-72022-03-15
연번유형업소명소재지데이터 기준일
144145집단급식소㈜정진홈푸드 에스엔엔씨점전라남도 광양시 중마동 중마로 4002022-03-15
145146집단급식소아라마크 주식회사전라남도 광양시 금호동 동백길 812022-03-15
146147도시락광양도시락전라남도 광양시 광양읍 대림오성로 612022-03-15
147148도시락남도푸드전라남도 광양시 중마동 시청로 332022-03-15
148149도시락으뜸도시락전라남도 광양시 중마동 항만9로 1272022-03-15
149150도시락토담도시락전라남도 광양시 금호동 제철로 2148-1392022-03-15
150151도시락어머니도시락전라남도 광양시 금호동 제철로 24082022-03-15
151152도시락더조은전라남도 광양시 광영동 남산2길 322022-03-15
152153대규모점포㈜홈플러스전라남도 광양시 중마동 항만11로 702022-03-15
153154관광숙박업주식회사 호텔락희전라남도 광양시 중마동 항만9로 972022-03-15