Overview

Dataset statistics

Number of variables5
Number of observations188
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory40.7 B

Variable types

Text3
Categorical1
DateTime1

Dataset

Description서울특별시 금천구 음식물 폐기물 다량배출사업장 현황에 관한 데이터로 상호명, 도로명주소, 사업장 구분, 전화번호, 사업장규모, 처리방법, 데이터 기준일자 등을 제공합니다.
URLhttps://www.data.go.kr/data/15114866/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 14:57:52.760758
Analysis finished2023-12-12 14:57:53.254212
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct187
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T23:57:53.463986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.5744681
Min length2

Characters and Unicode

Total characters1424
Distinct characters322
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)98.9%

Sample

1st row(주)소명생고기
2nd row(주)차림인
3rd rowE.S. 푸드우림
4th row가산물갈비&백년불고기
5th row가산통통생고기
ValueCountFrequency (%)
주식회사 5
 
2.1%
금천점 5
 
2.1%
한국맥도날드 3
 
1.2%
구내식당 3
 
1.2%
lg유플러스 2
 
0.8%
㈜대성푸드빌 2
 
0.8%
독산 2
 
0.8%
독산점 2
 
0.8%
명륜진사갈비 2
 
0.8%
미가푸드빌 2
 
0.8%
Other values (214) 215
88.5%
2023-12-12T23:57:53.927194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
 
6.5%
드 37
 
2.6%
교 36
 
2.5%
학 34
 
2.4%
푸 28
 
2.0%
) 28
 
2.0%
( 28
 
2.0%
점 26
 
1.8%
가 26
 
1.8%
산 25
 
1.8%
Other values (312) 1064
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1205
84.6%
Space Separator 92
 
6.5%
Uppercase Letter 31
 
2.2%
Close Punctuation 28
 
2.0%
Open Punctuation 28
 
2.0%
Other Punctuation 20
 
1.4%
Other Symbol 9
 
0.6%
Decimal Number 6
 
0.4%
Lowercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 37
 
3.1%
교 36
 
3.0%
학 34
 
2.8%
푸 28
 
2.3%
점 26
 
2.2%
가 26
 
2.2%
산 25
 
2.1%
등 24
 
2.0%
천 22
 
1.8%
스 19
 
1.6%
Other values (281) 928
77.0%
Uppercase Letter
ValueCountFrequency (%)
L 5
16.1%
G 5
16.1%
D 5
16.1%
S 4
12.9%
E 2
 
6.5%
R 2
 
6.5%
I 2
 
6.5%
A 1
 
3.2%
M 1
 
3.2%
N 1
 
3.2%
Other values (3) 3
9.7%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 1
16.7%
8 1
16.7%
0 1
16.7%
5 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 1
20.0%
j 1
20.0%
h 1
20.0%
e 1
20.0%
t 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 10
50.0%
. 7
35.0%
＆ 2
 
10.0%
& 1
 
5.0%
Space Separator
ValueCountFrequency (%)
92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1213
85.2%
Common 174
 
12.2%
Latin 36
 
2.5%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 37
 
3.1%
교 36
 
3.0%
학 34
 
2.8%
푸 28
 
2.3%
점 26
 
2.1%
가 26
 
2.1%
산 25
 
2.1%
등 24
 
2.0%
천 22
 
1.8%
스 19
 
1.6%
Other values (281) 936
77.2%
Latin
ValueCountFrequency (%)
L 5
13.9%
G 5
13.9%
D 5
13.9%
S 4
11.1%
E 2
 
5.6%
R 2
 
5.6%
I 2
 
5.6%
A 1
 
2.8%
c 1
 
2.8%
j 1
 
2.8%
Other values (8) 8
22.2%
Common
ValueCountFrequency (%)
92
52.9%
) 28
 
16.1%
( 28
 
16.1%
, 10
 
5.7%
. 7
 
4.0%
＆ 2
 
1.1%
2 2
 
1.1%
1 1
 
0.6%
8 1
 
0.6%
& 1
 
0.6%
Other values (2) 2
 
1.1%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1204
84.6%
ASCII 208
 
14.6%
None 11
 
0.8%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
44.2%
) 28
 
13.5%
( 28
 
13.5%
, 10
 
4.8%
. 7
 
3.4%
L 5
 
2.4%
G 5
 
2.4%
D 5
 
2.4%
S 4
 
1.9%
E 2
 
1.0%
Other values (19) 22
 
10.6%
Hangul
ValueCountFrequency (%)
드 37
 
3.1%
교 36
 
3.0%
학 34
 
2.8%
푸 28
 
2.3%
점 26
 
2.2%
가 26
 
2.2%
산 25
 
2.1%
등 24
 
2.0%
천 22
 
1.8%
스 19
 
1.6%
Other values (280) 927
77.0%
None
ValueCountFrequency (%)
㈜ 9
81.8%
＆ 2
 
18.2%
CJK
ValueCountFrequency (%)
家 1
100.0%

구분
Categorical

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반음식점
108 
집단급식소
68 
대규모점포
 
9
관광숙박시설
 
3

Length

Max length6
Median length5
Mean length5.0159574
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 108
57.4%
집단급식소 68
36.2%
대규모점포 9
 
4.8%
관광숙박시설 3
 
1.6%

Length

2023-12-12T23:57:54.073353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:57:54.192682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 108
57.4%
집단급식소 68
36.2%
대규모점포 9
 
4.8%
관광숙박시설 3
 
1.6%

소재지
Text

Distinct186
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T23:57:54.428953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length46
Mean length29.095745
Min length13

Characters and Unicode

Total characters5470
Distinct characters189
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

Unique184 ?
Unique (%)97.9%

Sample

1st row서울 금천구 시흥대로 264
2nd row서울 금천구 가산디지털1로 131,B119호
3rd row서울시 금천구 가산디지털1로 2 지하1층 비119호
4th row서울특별시 금천구 가산디지털1로 128_ 에스티엑스브이타워 1층 109_110호
5th row서울특별시 금천구 가산디지털1로 151_ 이노플렉스1차 1층 106_107호
ValueCountFrequency (%)
금천구 188
 
17.9%
서울특별시 171
 
16.2%
가산디지털1로 34
 
3.2%
시흥대로 28
 
2.7%
가산동 27
 
2.6%
지하1층 21
 
2.0%
서울 16
 
1.5%
가산디지털2로 15
 
1.4%
1층 12
 
1.1%
지상1층 11
 
1.0%
Other values (366) 530
50.3%
2023-12-12T23:57:54.893560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
991
 
18.1%
1 355
 
6.5%
시 230
 
4.2%
서 197
 
3.6%
금 196
 
3.6%
천 191
 
3.5%
울 190
 
3.5%
구 189
 
3.5%
로 173
 
3.2%
특 171
 
3.1%
Other values (179) 2587
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3171
58.0%
Decimal Number 1111
 
20.3%
Space Separator 991
 
18.1%
Uppercase Letter 69
 
1.3%
Open Punctuation 32
 
0.6%
Close Punctuation 32
 
0.6%
Dash Punctuation 24
 
0.4%
Connector Punctuation 24
 
0.4%
Other Punctuation 12
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 230
 
7.3%
서 197
 
6.2%
금 196
 
6.2%
천 191
 
6.0%
울 190
 
6.0%
구 189
 
6.0%
로 173
 
5.5%
특 171
 
5.4%
별 171
 
5.4%
지 126
 
4.0%
Other values (147) 1337
42.2%
Uppercase Letter
ValueCountFrequency (%)
B 47
68.1%
I 3
 
4.3%
Y 2
 
2.9%
C 2
 
2.9%
T 2
 
2.9%
H 2
 
2.9%
L 2
 
2.9%
A 2
 
2.9%
S 2
 
2.9%
J 1
 
1.4%
Other values (4) 4
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 355
32.0%
2 152
13.7%
0 122
 
11.0%
4 83
 
7.5%
3 81
 
7.3%
6 71
 
6.4%
5 70
 
6.3%
9 60
 
5.4%
8 59
 
5.3%
7 58
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 11
91.7%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
991
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3171
58.0%
Common 2230
40.8%
Latin 69
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 230
 
7.3%
서 197
 
6.2%
금 196
 
6.2%
천 191
 
6.0%
울 190
 
6.0%
구 189
 
6.0%
로 173
 
5.5%
특 171
 
5.4%
별 171
 
5.4%
지 126
 
4.0%
Other values (147) 1337
42.2%
Common
ValueCountFrequency (%)
991
44.4%
1 355
 
15.9%
2 152
 
6.8%
0 122
 
5.5%
4 83
 
3.7%
3 81
 
3.6%
6 71
 
3.2%
5 70
 
3.1%
9 60
 
2.7%
8 59
 
2.6%
Other values (8) 186
 
8.3%
Latin
ValueCountFrequency (%)
B 47
68.1%
I 3
 
4.3%
Y 2
 
2.9%
C 2
 
2.9%
T 2
 
2.9%
H 2
 
2.9%
L 2
 
2.9%
A 2
 
2.9%
S 2
 
2.9%
J 1
 
1.4%
Other values (4) 4
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3171
58.0%
ASCII 2299
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
991
43.1%
1 355
 
15.4%
2 152
 
6.6%
0 122
 
5.3%
4 83
 
3.6%
3 81
 
3.5%
6 71
 
3.1%
5 70
 
3.0%
9 60
 
2.6%
8 59
 
2.6%
Other values (22) 255
 
11.1%
Hangul
ValueCountFrequency (%)
시 230
 
7.3%
서 197
 
6.2%
금 196
 
6.2%
천 191
 
6.0%
울 190
 
6.0%
구 189
 
6.0%
로 173
 
5.5%
특 171
 
5.4%
별 171
 
5.4%
지 126
 
4.0%
Other values (147) 1337
42.2%

전화번호
Text

Distinct173
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T23:57:55.196247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.244681
Min length7

Characters and Unicode

Total characters2114
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)91.5%

Sample

1st row02-893-3233
2nd row02-6947-4997
3rd row02-2027-2235
4th row0507-1414-8981
5th row02-3281-3281
ValueCountFrequency (%)
데이터 16
 
7.8%
미수집 16
 
7.8%
02-828-3992 1
 
0.5%
02-855-5121 1
 
0.5%
070-5090-5777 1
 
0.5%
02-896-3186 1
 
0.5%
02-2608-7522 1
 
0.5%
02-890-2310 1
 
0.5%
02-6981-6424 1
 
0.5%
02-894-0955 1
 
0.5%
Other values (164) 164
80.4%
2023-12-12T23:57:56.078620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 358
16.9%
- 341
16.1%
2 291
13.8%
8 218
10.3%
7 136
 
6.4%
1 133
 
6.3%
5 133
 
6.3%
3 105
 
5.0%
9 104
 
4.9%
6 99
 
4.7%
Other values (8) 196
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1661
78.6%
Dash Punctuation 341
 
16.1%
Other Letter 96
 
4.5%
Space Separator 16
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 358
21.6%
2 291
17.5%
8 218
13.1%
7 136
 
8.2%
1 133
 
8.0%
5 133
 
8.0%
3 105
 
6.3%
9 104
 
6.3%
6 99
 
6.0%
4 84
 
5.1%
Other Letter
ValueCountFrequency (%)
집 16
16.7%
이 16
16.7%
수 16
16.7%
미 16
16.7%
터 16
16.7%
데 16
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 341
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2018
95.5%
Hangul 96
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 358
17.7%
- 341
16.9%
2 291
14.4%
8 218
10.8%
7 136
 
6.7%
1 133
 
6.6%
5 133
 
6.6%
3 105
 
5.2%
9 104
 
5.2%
6 99
 
4.9%
Other values (2) 100
 
5.0%
Hangul
ValueCountFrequency (%)
집 16
16.7%
이 16
16.7%
수 16
16.7%
미 16
16.7%
터 16
16.7%
데 16
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2018
95.5%
Hangul 96
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 358
17.7%
- 341
16.9%
2 291
14.4%
8 218
10.8%
7 136
 
6.7%
1 133
 
6.6%
5 133
 
6.6%
3 105
 
5.2%
9 104
 
5.2%
6 99
 
4.9%
Other values (2) 100
 
5.0%
Hangul
ValueCountFrequency (%)
집 16
16.7%
이 16
16.7%
수 16
16.7%
미 16
16.7%
터 16
16.7%
데 16
16.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-09-06 00:00:00
Maximum2023-09-06 00:00:00
2023-12-12T23:57:56.191812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:56.286884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T23:57:53.109936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:57:53.206418image/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

사업장명구분소재지전화번호데이터기준일자
0(주)소명생고기일반음식점서울 금천구 시흥대로 26402-893-32332023-09-06
1(주)차림인일반음식점서울 금천구 가산디지털1로 131,B119호02-6947-49972023-09-06
2E.S. 푸드우림일반음식점서울시 금천구 가산디지털1로 2 지하1층 비119호02-2027-22352023-09-06
3가산물갈비&백년불고기일반음식점서울특별시 금천구 가산디지털1로 128_ 에스티엑스브이타워 1층 109_110호0507-1414-89812023-09-06
4가산통통생고기일반음식점서울특별시 금천구 가산디지털1로 151_ 이노플렉스1차 1층 106_107호02-3281-32812023-09-06
5강가네돌솥추어탕일반음식점서울특별시 금천구 남부순환로 142002-867-88872023-09-06
6강강술래시흥점일반음식점서울특별시 금천구 시흥대로 193 아람아이씨티타워 지상1 2층 201~216호02-808-18882023-09-06
7고을숯불갈비일반음식점서울특별시 금천구 금하로 720 125호02-808-59792023-09-06
8광양숯불고기일반음식점서울특별시 금천구 독산로 218 창영빌딩 2층02-802-51982023-09-06
9국빈관광나이트(유창상가)일반음식점서울 금천구 독산 1동 293-502-895-22452023-09-06
사업장명구분소재지전화번호데이터기준일자
178마인드(MIND) 관광호텔관광숙박시설서울특별시 금천구 남부순환로 126202-839-12222023-09-06
179중앙철재종합상가대규모점포서울특별시 금천구 시흥대로46, 12동 308호02-805-71802023-09-06
180우림라이온스밸리대규모점포서울특별시 금천구 가산디지털 1로 16802-2026-42002023-09-06
181(주)한라 현대아울렛대규모점포서울특별시 금천구 디지털로10길 9 상가동 (상가동)02-2136-96882023-09-06
182동원디어푸드㈜ 가산센터대규모점포서울특별시 금천구 서부샛길 280070-5099-60002023-09-06
183롯데쇼핑(주)VIC마켓 금천점대규모점포서울 금천구 두산로 71 롯데빅마켓 금천점02-2109-75242023-09-06
184롯데쇼핑(주)롯데마트 금천점대규모점포서울 금천구 시흥대로 29102-6960-25212023-09-06
185마리오쇼핑 주식회사대규모점포서울 금천구 벚꽃로 26602-2109-70162023-09-06
186홈플러스 금천점대규모점포서울 금천구 시흥대로 391 삼성홈플러스02-890-81252023-09-06
187홈플러스(주) 시흥점대규모점포서울 금천구 시흥대로 201 홈플러스시흥점02-895-20802023-09-06