Overview

Dataset statistics

Number of variables7
Number of observations140
Missing cells80
Missing cells (%)8.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.9 KiB
Average record size in memory57.9 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description서울특별시 광진구의 음식물폐기물 다량배출사업장 업소명, 소재지, 구분, 전화번호 등에 대한 정보( 또는 데이터)를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15034360/fileData.do

Alerts

자치구 has constant value ""Constant
연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
전화번호 has 80 (57.1%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:25:56.513850
Analysis finished2024-03-14 19:25:58.182099
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-15T04:25:58.378135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.95
Q135.75
median70.5
Q3105.25
95-th percentile133.05
Maximum140
Range139
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation40.5586
Coefficient of variation (CV)0.57529928
Kurtosis-1.2
Mean70.5
Median Absolute Deviation (MAD)35
Skewness0
Sum9870
Variance1645
MonotonicityStrictly increasing
2024-03-15T04:25:58.696204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%

자치구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
광진구
140 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 140
100.0%

Length

2024-03-15T04:25:58.946426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:25:59.257683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 140
100.0%

업소명
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T04:26:00.223146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length8.6285714
Min length2

Characters and Unicode

Total characters1208
Distinct characters275
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

Unique140 ?
Unique (%)100.0%

Sample

1st row안흥갈비 중곡점
2nd row장군갈비
3rd row소담촌
4th row용마초등학교
5th row마루샤브(아차산역점)
ValueCountFrequency (%)
건대점 4
 
1.9%
구내식당 3
 
1.4%
구의역점 3
 
1.4%
동문회관 2
 
0.9%
㈜아워홈 2
 
0.9%
주식회사 2
 
0.9%
식당 2
 
0.9%
어린이대공원점 2
 
0.9%
1층 2
 
0.9%
명륜진사갈비 2
 
0.9%
Other values (185) 187
88.6%
2024-03-15T04:26:01.633498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
5.9%
학 53
 
4.4%
교 48
 
4.0%
대 39
 
3.2%
등 30
 
2.5%
점 29
 
2.4%
( 26
 
2.2%
) 26
 
2.2%
초 22
 
1.8%
건 20
 
1.7%
Other values (265) 844
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1049
86.8%
Space Separator 71
 
5.9%
Open Punctuation 26
 
2.2%
Close Punctuation 26
 
2.2%
Decimal Number 14
 
1.2%
Uppercase Letter 9
 
0.7%
Other Symbol 7
 
0.6%
Other Punctuation 4
 
0.3%
Connector Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 53
 
5.1%
교 48
 
4.6%
대 39
 
3.7%
등 30
 
2.9%
점 29
 
2.8%
초 22
 
2.1%
건 20
 
1.9%
중 18
 
1.7%
사 18
 
1.7%
광 17
 
1.6%
Other values (242) 755
72.0%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
9 2
 
14.3%
3 2
 
14.3%
8 1
 
7.1%
6 1
 
7.1%
5 1
 
7.1%
2 1
 
7.1%
4 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
33.3%
A 2
22.2%
H 1
 
11.1%
F 1
 
11.1%
N 1
 
11.1%
K 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
＆ 1
25.0%
· 1
25.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1056
87.4%
Common 143
 
11.8%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 53
 
5.0%
교 48
 
4.5%
대 39
 
3.7%
등 30
 
2.8%
점 29
 
2.7%
초 22
 
2.1%
건 20
 
1.9%
중 18
 
1.7%
사 18
 
1.7%
광 17
 
1.6%
Other values (243) 762
72.2%
Common
ValueCountFrequency (%)
71
49.7%
( 26
 
18.2%
) 26
 
18.2%
1 5
 
3.5%
9 2
 
1.4%
3 2
 
1.4%
, 2
 
1.4%
8 1
 
0.7%
_ 1
 
0.7%
6 1
 
0.7%
Other values (6) 6
 
4.2%
Latin
ValueCountFrequency (%)
C 3
33.3%
A 2
22.2%
H 1
 
11.1%
F 1
 
11.1%
N 1
 
11.1%
K 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1049
86.8%
ASCII 150
 
12.4%
None 9
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
47.3%
( 26
 
17.3%
) 26
 
17.3%
1 5
 
3.3%
C 3
 
2.0%
9 2
 
1.3%
A 2
 
1.3%
3 2
 
1.3%
, 2
 
1.3%
8 1
 
0.7%
Other values (10) 10
 
6.7%
Hangul
ValueCountFrequency (%)
학 53
 
5.1%
교 48
 
4.6%
대 39
 
3.7%
등 30
 
2.9%
점 29
 
2.8%
초 22
 
2.1%
건 20
 
1.9%
중 18
 
1.7%
사 18
 
1.7%
광 17
 
1.6%
Other values (242) 755
72.0%
None
ValueCountFrequency (%)
㈜ 7
77.8%
＆ 1
 
11.1%
· 1
 
11.1%

전화번호
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing80
Missing (%)57.1%
Memory size1.2 KiB
2024-03-15T04:26:02.618202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.2
Min length1

Characters and Unicode

Total characters672
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

Unique60 ?
Unique (%)100.0%

Sample

1st row02-499-1204
2nd row02-447-3479
3rd row02-2201-8880
4th row02-3436-4012
5th row02-454-0600
ValueCountFrequency (%)
02-457-0707 1
 
1.7%
02-450-5600 1
 
1.7%
02-446-1435 1
 
1.7%
02-3437-7078 1
 
1.7%
02-2049-1281 1
 
1.7%
02-454-9311 1
 
1.7%
02-455-3485 1
 
1.7%
02-452-0744 1
 
1.7%
02-458-0970 1
 
1.7%
02-3436-7100 1
 
1.7%
Other values (49) 49
83.1%
2024-03-15T04:26:04.066292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 117
17.4%
0 109
16.2%
2 102
15.2%
4 91
13.5%
5 46
 
6.8%
8 43
 
6.4%
7 34
 
5.1%
1 34
 
5.1%
9 33
 
4.9%
3 32
 
4.8%
Other values (2) 31
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 554
82.4%
Dash Punctuation 117
 
17.4%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 109
19.7%
2 102
18.4%
4 91
16.4%
5 46
8.3%
8 43
 
7.8%
7 34
 
6.1%
1 34
 
6.1%
9 33
 
6.0%
3 32
 
5.8%
6 30
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 672
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 117
17.4%
0 109
16.2%
2 102
15.2%
4 91
13.5%
5 46
 
6.8%
8 43
 
6.4%
7 34
 
5.1%
1 34
 
5.1%
9 33
 
4.9%
3 32
 
4.8%
Other values (2) 31
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 117
17.4%
0 109
16.2%
2 102
15.2%
4 91
13.5%
5 46
 
6.8%
8 43
 
6.4%
7 34
 
5.1%
1 34
 
5.1%
9 33
 
4.9%
3 32
 
4.8%
Other values (2) 31
 
4.6%

소재지(도로명)
Text

Distinct134
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-15T04:26:05.196427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length15.028571
Min length7

Characters and Unicode

Total characters2104
Distinct characters125
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

Unique128 ?
Unique (%)91.4%

Sample

1st row광진구 능동로 373, 2층(중곡동)
2nd row 용마산로 11 장군갈비 (중곡동)
3rd row용마산로10(중곡동)
4th row천호대로 113길10(중곡동)
5th row천호대로 633
ValueCountFrequency (%)
광진구 16
 
5.1%
아차산로 10
 
3.2%
능동로 8
 
2.6%
천호대로 7
 
2.2%
2층 7
 
2.2%
광나루로 7
 
2.2%
구의동 5
 
1.6%
동일로 4
 
1.3%
화양동 4
 
1.3%
1층 4
 
1.3%
Other values (207) 241
77.0%
2024-03-15T04:26:06.877399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
 
8.6%
동 149
 
7.1%
로 140
 
6.7%
) 115
 
5.5%
( 115
 
5.5%
1 112
 
5.3%
2 91
 
4.3%
양 68
 
3.2%
자 61
 
2.9%
3 60
 
2.9%
Other values (115) 1012
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1116
53.0%
Decimal Number 512
24.3%
Space Separator 181
 
8.6%
Close Punctuation 115
 
5.5%
Open Punctuation 115
 
5.5%
Other Punctuation 40
 
1.9%
Dash Punctuation 12
 
0.6%
Uppercase Letter 11
 
0.5%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 149
 
13.4%
로 140
 
12.5%
양 68
 
6.1%
자 61
 
5.5%
길 50
 
4.5%
광 45
 
4.0%
구 43
 
3.9%
산 38
 
3.4%
층 31
 
2.8%
아 30
 
2.7%
Other values (91) 461
41.3%
Decimal Number
ValueCountFrequency (%)
1 112
21.9%
2 91
17.8%
3 60
11.7%
4 46
9.0%
6 41
 
8.0%
0 39
 
7.6%
7 39
 
7.6%
5 38
 
7.4%
9 24
 
4.7%
8 22
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
C 3
27.3%
K 1
 
9.1%
Z 1
 
9.1%
L 1
 
9.1%
P 1
 
9.1%
S 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 38
95.0%
. 2
 
5.0%
Space Separator
ValueCountFrequency (%)
181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1116
53.0%
Common 977
46.4%
Latin 11
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 149
 
13.4%
로 140
 
12.5%
양 68
 
6.1%
자 61
 
5.5%
길 50
 
4.5%
광 45
 
4.0%
구 43
 
3.9%
산 38
 
3.4%
층 31
 
2.8%
아 30
 
2.7%
Other values (91) 461
41.3%
Common
ValueCountFrequency (%)
181
18.5%
) 115
11.8%
( 115
11.8%
1 112
11.5%
2 91
9.3%
3 60
 
6.1%
4 46
 
4.7%
6 41
 
4.2%
0 39
 
4.0%
7 39
 
4.0%
Other values (7) 138
14.1%
Latin
ValueCountFrequency (%)
A 3
27.3%
C 3
27.3%
K 1
 
9.1%
Z 1
 
9.1%
L 1
 
9.1%
P 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1116
53.0%
ASCII 988
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
18.3%
) 115
11.6%
( 115
11.6%
1 112
11.3%
2 91
9.2%
3 60
 
6.1%
4 46
 
4.7%
6 41
 
4.1%
0 39
 
3.9%
7 39
 
3.9%
Other values (14) 149
15.1%
Hangul
ValueCountFrequency (%)
동 149
 
13.4%
로 140
 
12.5%
양 68
 
6.1%
자 61
 
5.5%
길 50
 
4.5%
광 45
 
4.0%
구 43
 
3.9%
산 38
 
3.4%
층 31
 
2.8%
아 30
 
2.7%
Other values (91) 461
41.3%

구분
Categorical

Distinct4
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
일반음식점
72 
집단급식소
64 
관광숙박시설
 
2
휴게음식점
 
2

Length

Max length6
Median length5
Mean length5.0142857
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 72
51.4%
집단급식소 64
45.7%
관광숙박시설 2
 
1.4%
휴게음식점 2
 
1.4%

Length

2024-03-15T04:26:07.304331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:26:07.641088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 72
51.4%
집단급식소 64
45.7%
관광숙박시설 2
 
1.4%
휴게음식점 2
 
1.4%

행정동
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
화양동
35 
군자동
17 
광장동
16 
구의3동
13 
자양3동
11 
Other values (10)
48 

Length

Max length4
Median length3
Mean length3.4428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중곡1동
2nd row중곡2동
3rd row중곡2동
4th row중곡2동
5th row중곡2동

Common Values

ValueCountFrequency (%)
화양동 35
25.0%
군자동 17
12.1%
광장동 16
11.4%
구의3동 13
 
9.3%
자양3동 11
 
7.9%
구의2동 9
 
6.4%
자양2동 7
 
5.0%
능동 5
 
3.6%
자양1동 5
 
3.6%
자양4동 5
 
3.6%
Other values (5) 17
12.1%

Length

2024-03-15T04:26:08.061153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화양동 35
25.0%
군자동 17
12.1%
광장동 16
11.4%
구의3동 13
 
9.3%
자양3동 11
 
7.9%
구의2동 9
 
6.4%
자양2동 7
 
5.0%
능동 5
 
3.6%
자양1동 5
 
3.6%
자양4동 5
 
3.6%
Other values (5) 17
12.1%

Interactions

2024-03-15T04:25:57.023823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:26:08.318075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호구분행정동
연번1.0001.0000.3100.945
전화번호1.0001.0001.0001.000
구분0.3101.0001.0000.420
행정동0.9451.0000.4201.000
2024-03-15T04:26:08.571499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정동
구분1.0000.239
행정동0.2391.000
2024-03-15T04:26:08.805900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분행정동
연번1.0000.1840.713
구분0.1841.0000.239
행정동0.7130.2391.000

Missing values

2024-03-15T04:25:57.391378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:25:57.793813image/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

연번자치구업소명전화번호소재지(도로명)구분행정동
01광진구안흥갈비 중곡점02-499-1204광진구 능동로 373, 2층(중곡동)일반음식점중곡1동
12광진구장군갈비02-447-3479용마산로 11 장군갈비 (중곡동)일반음식점중곡2동
23광진구소담촌02-2201-8880용마산로10(중곡동)일반음식점중곡2동
34광진구용마초등학교02-3436-4012천호대로 113길10(중곡동)집단급식소중곡2동
45광진구마루샤브(아차산역점)02-454-0600천호대로 633일반음식점중곡2동
56광진구단군의땅 기찬갈비 (기찬아구찜)<NA>면목로140(중곡동)일반음식점중곡3동
67광진구중마초등학교02-498-4297동일로72길43(중곡동)집단급식소중곡3동
78광진구중광초등학교02-463-5877긴고랑로13길59(중곡동)집단급식소중곡3동
89광진구용곡초등학교02-447-6824용마산로22길82(중곡동)집단급식소중곡4동
910광진구대원여자고등학교02-2204-1621용마산로22길26(중곡동)집단급식소중곡4동
연번자치구업소명전화번호소재지(도로명)구분행정동
130131광진구장터참숯무한리필 중곡점<NA>긴고랑로 52일반음식점군자동
131132광진구일레븐라운지<NA>광진구 동일로 172 (19층, 호텔 더 디자이너스 프리미어 건대)일반음식점자양3동
132133광진구셰프뮤지엄<NA>능동로 87, 건대입구역자이엘라 2층일반음식점군자동
133134광진구금하 (건국대학교 동문회관 웨딩홀)<NA>아차산로36길5(자양동)일반음식점자양3동
134135광진구아빠찜 구의역점<NA>자양로18길 96, 베스트트레드빌 101호, 102호 (구의동)일반음식점구의1동
135136광진구아차 (ACHA)<NA>광진구 자양로42길 3, 지하 1,2층 (구의동)일반음식점구의2동
136137광진구구시아푸드마켓 (건대 학생회관)<NA>광진구 능동로 120 (화양동, 건국대학교 학생회관 지하1층)집단급식소화양동
137138광진구쿠우쿠우 블루레인 건대직영점<NA>광진구 아차산로 225, 단산화빌딩 5층 (화양동)일반음식점화양동
138139광진구동대문엽기떡볶이 건대2호점<NA>광진구 동일로22길 11 (화양동)일반음식점화양동
139140광진구그린푸드(어린이회관 구내식당)<NA>광진구 광나루로 441(능동)집단급식소능동