Overview

Dataset statistics

Number of variables7
Number of observations166
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory57.8 B

Variable types

Categorical3
Text3
Numeric1

Dataset

Description광주광역시 남구에 위치한 음식물류 폐기물 발생 사업장 중 폐기물관리법 제15조의2에 따라 의무적으로 음식물류폐기물의 발생 억제 및 처리 계획 신고를 해야하는 사업장 현황
URLhttps://www.data.go.kr/data/15099775/fileData.do

Alerts

시군구명 has constant value ""Constant
데이터기준일 has constant value ""Constant
배출량 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 배출량High correlation
상호 has unique valuesUnique
배출량 has 6 (3.6%) zerosZeros

Reproduction

Analysis started2023-12-12 12:30:53.426623
Analysis finished2023-12-12 12:30:54.153206
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
광주광역시 남구
166 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광주광역시 남구
2nd row광주광역시 남구
3rd row광주광역시 남구
4th row광주광역시 남구
5th row광주광역시 남구

Common Values

ValueCountFrequency (%)
광주광역시 남구 166
100.0%

Length

2023-12-12T21:30:54.224271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:30:54.333997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 166
50.0%
남구 166
50.0%

상호
Text

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T21:30:54.605588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length6.8855422
Min length2

Characters and Unicode

Total characters1143
Distinct characters285
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 row한우사랑
2nd row광주동성고등학교
3rd row김형제고기의철학
4th row광주대성초등학교
5th row스타힐병원
ValueCountFrequency (%)
봉선점 3
 
1.6%
주식회사 2
 
1.1%
버거킹 2
 
1.1%
바른고기 2
 
1.1%
한국맥도날드(유 2
 
1.1%
한우암소생고기전문점㈜ 1
 
0.5%
진월지점 1
 
0.5%
광주제석초등학교 1
 
0.5%
숭의중학교 1
 
0.5%
학강초등학교 1
 
0.5%
Other values (173) 173
91.5%
2023-12-12T21:30:55.070983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 48
 
4.2%
교 46
 
4.0%
원 38
 
3.3%
주 36
 
3.1%
등 34
 
3.0%
광 30
 
2.6%
한 26
 
2.3%
초 24
 
2.1%
23
 
2.0%
병 22
 
1.9%
Other values (275) 816
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1080
94.5%
Space Separator 23
 
2.0%
Close Punctuation 10
 
0.9%
Other Symbol 9
 
0.8%
Open Punctuation 9
 
0.8%
Uppercase Letter 8
 
0.7%
Decimal Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 48
 
4.4%
교 46
 
4.3%
원 38
 
3.5%
주 36
 
3.3%
등 34
 
3.1%
광 30
 
2.8%
한 26
 
2.4%
초 24
 
2.2%
병 22
 
2.0%
점 19
 
1.8%
Other values (263) 757
70.1%
Uppercase Letter
ValueCountFrequency (%)
T 3
37.5%
D 3
37.5%
S 1
 
12.5%
G 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
7 1
25.0%
8 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1089
95.3%
Common 46
 
4.0%
Latin 8
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 48
 
4.4%
교 46
 
4.2%
원 38
 
3.5%
주 36
 
3.3%
등 34
 
3.1%
광 30
 
2.8%
한 26
 
2.4%
초 24
 
2.2%
병 22
 
2.0%
점 19
 
1.7%
Other values (264) 766
70.3%
Common
ValueCountFrequency (%)
23
50.0%
) 10
21.7%
( 9
 
19.6%
2 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
1 1
 
2.2%
Latin
ValueCountFrequency (%)
T 3
37.5%
D 3
37.5%
S 1
 
12.5%
G 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1080
94.5%
ASCII 54
 
4.7%
None 9
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 48
 
4.4%
교 46
 
4.3%
원 38
 
3.5%
주 36
 
3.3%
등 34
 
3.1%
광 30
 
2.8%
한 26
 
2.4%
초 24
 
2.2%
병 22
 
2.0%
점 19
 
1.8%
Other values (263) 757
70.1%
ASCII
ValueCountFrequency (%)
23
42.6%
) 10
18.5%
( 9
 
16.7%
T 3
 
5.6%
D 3
 
5.6%
2 1
 
1.9%
7 1
 
1.9%
8 1
 
1.9%
1 1
 
1.9%
S 1
 
1.9%
None
ValueCountFrequency (%)
㈜ 9
100.0%

주소
Text

Distinct159
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T21:30:55.466755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length18.53012
Min length14

Characters and Unicode

Total characters3076
Distinct characters96
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

Unique152 ?
Unique (%)91.6%

Sample

1st row광주광역시 남구 효덕로 150
2nd row광주광역시 남구 서문대로627번길 20
3rd row광주광역시 남구 봉선로133번길 15, 101호
4th row광주광역시 남구 서동로2번길 8
5th row광주광역시 남구 금화로 436
ValueCountFrequency (%)
광주광역시 166
23.5%
남구 164
23.2%
서문대로 12
 
1.7%
봉선로 11
 
1.6%
1층 11
 
1.6%
2층 10
 
1.4%
20 6
 
0.8%
봉선2로 6
 
0.8%
2 6
 
0.8%
대남대로 6
 
0.8%
Other values (209) 308
43.6%
2023-12-12T21:30:56.050893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
540
17.6%
광 336
 
10.9%
남 171
 
5.6%
주 167
 
5.4%
역 166
 
5.4%
시 166
 
5.4%
구 166
 
5.4%
로 152
 
4.9%
1 147
 
4.8%
2 101
 
3.3%
Other values (86) 964
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1874
60.9%
Decimal Number 595
 
19.3%
Space Separator 540
 
17.6%
Other Punctuation 38
 
1.2%
Dash Punctuation 16
 
0.5%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 336
17.9%
남 171
9.1%
주 167
8.9%
역 166
8.9%
시 166
8.9%
구 166
8.9%
로 152
 
8.1%
길 62
 
3.3%
번 48
 
2.6%
대 44
 
2.3%
Other values (69) 396
21.1%
Decimal Number
ValueCountFrequency (%)
1 147
24.7%
2 101
17.0%
3 62
10.4%
0 49
 
8.2%
4 48
 
8.1%
5 47
 
7.9%
6 44
 
7.4%
7 40
 
6.7%
8 33
 
5.5%
9 24
 
4.0%
Space Separator
ValueCountFrequency (%)
540
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1874
60.9%
Common 1201
39.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 336
17.9%
남 171
9.1%
주 167
8.9%
역 166
8.9%
시 166
8.9%
구 166
8.9%
로 152
 
8.1%
길 62
 
3.3%
번 48
 
2.6%
대 44
 
2.3%
Other values (69) 396
21.1%
Common
ValueCountFrequency (%)
540
45.0%
1 147
 
12.2%
2 101
 
8.4%
3 62
 
5.2%
0 49
 
4.1%
4 48
 
4.0%
5 47
 
3.9%
6 44
 
3.7%
7 40
 
3.3%
, 38
 
3.2%
Other values (6) 85
 
7.1%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1874
60.9%
ASCII 1202
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
540
44.9%
1 147
 
12.2%
2 101
 
8.4%
3 62
 
5.2%
0 49
 
4.1%
4 48
 
4.0%
5 47
 
3.9%
6 44
 
3.7%
7 40
 
3.3%
, 38
 
3.2%
Other values (7) 86
 
7.2%
Hangul
ValueCountFrequency (%)
광 336
17.9%
남 171
9.1%
주 167
8.9%
역 166
8.9%
시 166
8.9%
구 166
8.9%
로 152
 
8.1%
길 62
 
3.3%
번 48
 
2.6%
대 44
 
2.3%
Other values (69) 396
21.1%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반음식점
84 
집단급식소
81 
기 타
 
1

Length

Max length5
Median length5
Mean length4.9939759
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 84
50.6%
집단급식소 81
48.8%
기 타 1
 
0.6%

Length

2023-12-12T21:30:56.238157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:30:56.365433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 84
50.3%
집단급식소 81
48.5%
기 1
 
0.6%
타 1
 
0.6%

연락처
Text

Distinct133
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T21:30:56.627274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.361446
Min length3

Characters and Unicode

Total characters1720
Distinct characters18
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

Unique127 ?
Unique (%)76.5%

Sample

1st row062-674-3292
2nd row062-670-4512
3rd row062-652-2829
4th row062-650-3987
5th row미제공
ValueCountFrequency (%)
미제공 26
 
15.7%
개인번호 5
 
3.0%
062-374-4593 2
 
1.2%
062-462-1010 2
 
1.2%
062-372-9252 2
 
1.2%
062-670-3006 2
 
1.2%
062-675-2244 1
 
0.6%
062-650-9761 1
 
0.6%
062-654-1020 1
 
0.6%
062-650-1870 1
 
0.6%
Other values (123) 123
74.1%
2023-12-12T21:30:57.044193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 291
16.9%
0 287
16.7%
- 270
15.7%
2 226
13.1%
7 125
7.3%
5 114
 
6.6%
3 83
 
4.8%
1 82
 
4.8%
9 55
 
3.2%
4 53
 
3.1%
Other values (8) 134
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1352
78.6%
Dash Punctuation 270
 
15.7%
Other Letter 98
 
5.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 291
21.5%
0 287
21.2%
2 226
16.7%
7 125
9.2%
5 114
 
8.4%
3 83
 
6.1%
1 82
 
6.1%
9 55
 
4.1%
4 53
 
3.9%
8 36
 
2.7%
Other Letter
ValueCountFrequency (%)
제 26
26.5%
공 26
26.5%
미 26
26.5%
호 5
 
5.1%
번 5
 
5.1%
인 5
 
5.1%
개 5
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1622
94.3%
Hangul 98
 
5.7%

Most frequent character per script

Common
ValueCountFrequency (%)
6 291
17.9%
0 287
17.7%
- 270
16.6%
2 226
13.9%
7 125
7.7%
5 114
 
7.0%
3 83
 
5.1%
1 82
 
5.1%
9 55
 
3.4%
4 53
 
3.3%
Hangul
ValueCountFrequency (%)
제 26
26.5%
공 26
26.5%
미 26
26.5%
호 5
 
5.1%
번 5
 
5.1%
인 5
 
5.1%
개 5
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1622
94.3%
Hangul 98
 
5.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 291
17.9%
0 287
17.7%
- 270
16.6%
2 226
13.9%
7 125
7.7%
5 114
 
7.0%
3 83
 
5.1%
1 82
 
5.1%
9 55
 
3.4%
4 53
 
3.3%
Hangul
ValueCountFrequency (%)
제 26
26.5%
공 26
26.5%
미 26
26.5%
호 5
 
5.1%
번 5
 
5.1%
인 5
 
5.1%
개 5
 
5.1%

배출량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct159
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17410.5
Minimum0
Maximum101030
Zeros6
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:30:57.209142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1195.5
Q16233
median12133
Q324177.25
95-th percentile47747.25
Maximum101030
Range101030
Interquartile range (IQR)17944.25

Descriptive statistics

Standard deviation15700.155
Coefficient of variation (CV)0.90176357
Kurtosis5.0255035
Mean17410.5
Median Absolute Deviation (MAD)7259.5
Skewness1.835623
Sum2890143
Variance2.4649486 × 108
MonotonicityNot monotonic
2023-12-12T21:30:57.354663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.6%
10437 2
 
1.2%
6233 2
 
1.2%
32155 1
 
0.6%
2252 1
 
0.6%
5035 1
 
0.6%
11940 1
 
0.6%
43800 1
 
0.6%
14002 1
 
0.6%
5480 1
 
0.6%
Other values (149) 149
89.8%
ValueCountFrequency (%)
0 6
3.6%
316 1
 
0.6%
561 1
 
0.6%
1111 1
 
0.6%
1449 1
 
0.6%
1451 1
 
0.6%
2252 1
 
0.6%
2310 1
 
0.6%
2740 1
 
0.6%
2742 1
 
0.6%
ValueCountFrequency (%)
101030 1
0.6%
70976 1
0.6%
65186 1
0.6%
56303 1
0.6%
56091 1
0.6%
51511 1
0.6%
49334 1
0.6%
48935 1
0.6%
47856 1
0.6%
47421 1
0.6%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-04-28
166 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-28
2nd row2023-04-28
3rd row2023-04-28
4th row2023-04-28
5th row2023-04-28

Common Values

ValueCountFrequency (%)
2023-04-28 166
100.0%

Length

2023-12-12T21:30:57.494780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:30:57.592514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-28 166
100.0%

Interactions

2023-12-12T21:30:53.754416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:30:57.657312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분배출량
구분1.0000.957
배출량0.9571.000
2023-12-12T21:30:57.741812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출량구분
배출량1.0000.740
구분0.7401.000

Missing values

2023-12-12T21:30:53.926560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:30:54.101105image/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

시군구명상호주소구분연락처배출량데이터기준일
0광주광역시 남구한우사랑광주광역시 남구 효덕로 150일반음식점062-674-3292321552023-04-28
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