Overview

Dataset statistics

Number of variables5
Number of observations213
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory40.6 B

Variable types

Text3
Categorical2

Dataset

Description서울특별시 금천구 음식물류 폐기물 다량배출사업장(사업장명, 구분, 소재지, 전화번호) 등의 항목으로 제공하고 있습니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15034237/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:16:43.968046
Analysis finished2023-12-12 11:16:44.687934
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:16:45.020621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length7.5962441
Min length1

Characters and Unicode

Total characters1618
Distinct characters343
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

Unique213 ?
Unique (%)100.0%

Sample

1st row서울바른세상병원
2nd row성지병원
3rd row의료법인 새움의료재단
4th row희명의료재단
5th row녹십자요양병원
ValueCountFrequency (%)
가산점 5
 
1.7%
금천점 4
 
1.4%
구내식당 4
 
1.4%
가산 4
 
1.4%
주식회사 4
 
1.4%
델리명가 3
 
1.0%
투썸플레이스 2
 
0.7%
e.s 2
 
0.7%
가산어시장 2
 
0.7%
가산디지털점 2
 
0.7%
Other values (255) 256
88.9%
2023-12-12T20:16:45.761863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
4.6%
38
 
2.3%
37
 
2.3%
35
 
2.2%
34
 
2.1%
33
 
2.0%
30
 
1.9%
30
 
1.9%
30
 
1.9%
27
 
1.7%
Other values (333) 1249
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1395
86.2%
Space Separator 75
 
4.6%
Uppercase Letter 39
 
2.4%
Open Punctuation 25
 
1.5%
Close Punctuation 25
 
1.5%
Other Symbol 16
 
1.0%
Connector Punctuation 12
 
0.7%
Decimal Number 12
 
0.7%
Other Punctuation 11
 
0.7%
Lowercase Letter 8
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
2.7%
37
 
2.7%
35
 
2.5%
34
 
2.4%
33
 
2.4%
30
 
2.2%
30
 
2.2%
30
 
2.2%
27
 
1.9%
24
 
1.7%
Other values (295) 1077
77.2%
Uppercase Letter
ValueCountFrequency (%)
G 7
17.9%
L 6
15.4%
S 5
12.8%
D 5
12.8%
B 4
10.3%
E 2
 
5.1%
R 2
 
5.1%
V 1
 
2.6%
I 1
 
2.6%
C 1
 
2.6%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
0 4
33.3%
2 2
16.7%
1 2
16.7%
6 1
 
8.3%
7 1
 
8.3%
8 1
 
8.3%
5 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
l 1
12.5%
o 1
12.5%
e 1
12.5%
p 1
12.5%
s 1
12.5%
r 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 8
72.7%
· 1
 
9.1%
& 1
 
9.1%
1
 
9.1%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Symbol
ValueCountFrequency (%)
16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1411
87.2%
Common 160
 
9.9%
Latin 47
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
2.7%
37
 
2.6%
35
 
2.5%
34
 
2.4%
33
 
2.3%
30
 
2.1%
30
 
2.1%
30
 
2.1%
27
 
1.9%
24
 
1.7%
Other values (296) 1093
77.5%
Latin
ValueCountFrequency (%)
G 7
14.9%
L 6
12.8%
S 5
10.6%
D 5
10.6%
B 4
 
8.5%
E 2
 
4.3%
a 2
 
4.3%
R 2
 
4.3%
l 1
 
2.1%
o 1
 
2.1%
Other values (12) 12
25.5%
Common
ValueCountFrequency (%)
75
46.9%
( 25
 
15.6%
) 25
 
15.6%
_ 12
 
7.5%
. 8
 
5.0%
0 4
 
2.5%
2 2
 
1.2%
1 2
 
1.2%
· 1
 
0.6%
6 1
 
0.6%
Other values (5) 5
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1395
86.2%
ASCII 205
 
12.7%
None 18
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
36.6%
( 25
 
12.2%
) 25
 
12.2%
_ 12
 
5.9%
. 8
 
3.9%
G 7
 
3.4%
L 6
 
2.9%
S 5
 
2.4%
D 5
 
2.4%
B 4
 
2.0%
Other values (25) 33
16.1%
Hangul
ValueCountFrequency (%)
38
 
2.7%
37
 
2.7%
35
 
2.5%
34
 
2.4%
33
 
2.4%
30
 
2.2%
30
 
2.2%
30
 
2.2%
27
 
1.9%
24
 
1.7%
Other values (295) 1077
77.2%
None
ValueCountFrequency (%)
16
88.9%
· 1
 
5.6%
1
 
5.6%

구분
Categorical

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
일반음식점
122 
집단급식소
68 
대규모점포
 
12
휴게음식점
 
6
관광숙박시설
 
5

Length

Max length6
Median length5
Mean length5.0234742
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 122
57.3%
집단급식소 68
31.9%
대규모점포 12
 
5.6%
휴게음식점 6
 
2.8%
관광숙박시설 5
 
2.3%

Length

2023-12-12T20:16:46.004360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:16:46.199875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 122
57.3%
집단급식소 68
31.9%
대규모점포 12
 
5.6%
휴게음식점 6
 
2.8%
관광숙박시설 5
 
2.3%
Distinct211
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:16:46.669586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length34.784038
Min length16

Characters and Unicode

Total characters7409
Distinct characters182
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

Unique209 ?
Unique (%)98.1%

Sample

1st row서울특별시 금천구 시흥대로 421, 지하1층 (독산동)
2nd row서울특별시 금천구 가산로 122, 지하1층 (가산동)
3rd row서울특별시 금천구 시흥대로139길 8, 지상8층 (독산동)
4th row서울특별시 금천구 시흥대로 244, 희명병원 (시흥동)
5th row서울특별시 금천구 시흥대로 202 (시흥동, 지상3층)
ValueCountFrequency (%)
금천구 213
 
18.4%
서울특별시 211
 
18.3%
가산디지털1로 48
 
4.2%
시흥동 26
 
2.3%
시흥대로 22
 
1.9%
가산디지털2로 21
 
1.8%
지하1층 21
 
1.8%
가산동 18
 
1.6%
독산동 17
 
1.5%
벚꽃로 13
 
1.1%
Other values (385) 545
47.2%
2023-12-12T20:16:47.452773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
942
 
12.7%
1 432
 
5.8%
305
 
4.1%
, 281
 
3.8%
267
 
3.6%
222
 
3.0%
218
 
2.9%
214
 
2.9%
214
 
2.9%
214
 
2.9%
Other values (172) 4100
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4294
58.0%
Decimal Number 1277
 
17.2%
Space Separator 942
 
12.7%
Other Punctuation 283
 
3.8%
Open Punctuation 204
 
2.8%
Close Punctuation 204
 
2.8%
Uppercase Letter 172
 
2.3%
Dash Punctuation 26
 
0.4%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
305
 
7.1%
267
 
6.2%
222
 
5.2%
218
 
5.1%
214
 
5.0%
214
 
5.0%
214
 
5.0%
213
 
5.0%
212
 
4.9%
211
 
4.9%
Other values (134) 2004
46.7%
Uppercase Letter
ValueCountFrequency (%)
B 76
44.2%
I 11
 
6.4%
A 10
 
5.8%
Y 10
 
5.8%
C 10
 
5.8%
T 9
 
5.2%
H 8
 
4.7%
G 8
 
4.7%
S 7
 
4.1%
L 5
 
2.9%
Other values (10) 18
 
10.5%
Decimal Number
ValueCountFrequency (%)
1 432
33.8%
2 186
14.6%
0 129
 
10.1%
3 97
 
7.6%
4 90
 
7.0%
6 81
 
6.3%
5 77
 
6.0%
8 73
 
5.7%
9 62
 
4.9%
7 50
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 281
99.3%
1
 
0.4%
& 1
 
0.4%
Space Separator
ValueCountFrequency (%)
942
100.0%
Open Punctuation
ValueCountFrequency (%)
( 204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4294
58.0%
Common 2943
39.7%
Latin 172
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
305
 
7.1%
267
 
6.2%
222
 
5.2%
218
 
5.1%
214
 
5.0%
214
 
5.0%
214
 
5.0%
213
 
5.0%
212
 
4.9%
211
 
4.9%
Other values (134) 2004
46.7%
Latin
ValueCountFrequency (%)
B 76
44.2%
I 11
 
6.4%
A 10
 
5.8%
Y 10
 
5.8%
C 10
 
5.8%
T 9
 
5.2%
H 8
 
4.7%
G 8
 
4.7%
S 7
 
4.1%
L 5
 
2.9%
Other values (10) 18
 
10.5%
Common
ValueCountFrequency (%)
942
32.0%
1 432
14.7%
, 281
 
9.5%
( 204
 
6.9%
) 204
 
6.9%
2 186
 
6.3%
0 129
 
4.4%
3 97
 
3.3%
4 90
 
3.1%
6 81
 
2.8%
Other values (8) 297
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4294
58.0%
ASCII 3114
42.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
942
30.3%
1 432
13.9%
, 281
 
9.0%
( 204
 
6.6%
) 204
 
6.6%
2 186
 
6.0%
0 129
 
4.1%
3 97
 
3.1%
4 90
 
2.9%
6 81
 
2.6%
Other values (27) 468
15.0%
Hangul
ValueCountFrequency (%)
305
 
7.1%
267
 
6.2%
222
 
5.2%
218
 
5.1%
214
 
5.0%
214
 
5.0%
214
 
5.0%
213
 
5.0%
212
 
4.9%
211
 
4.9%
Other values (134) 2004
46.7%
None
ValueCountFrequency (%)
1
100.0%
Distinct200
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T20:16:47.922657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.478873
Min length11

Characters and Unicode

Total characters2445
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)92.5%

Sample

1st row02-2111-9806
2nd row02-867-7056
3rd row02-1577-7015
4th row02-804-0002
5th row02-1544-2708
ValueCountFrequency (%)
02-000-0000 12
 
5.6%
02-830-3319 2
 
0.9%
02-2624-1998 2
 
0.9%
02-895-2245 1
 
0.5%
02-891-0804 1
 
0.5%
02-802-7338 1
 
0.5%
02-3289-0793 1
 
0.5%
02-2111-9806 1
 
0.5%
02-6123-3030 1
 
0.5%
02-2082-8008 1
 
0.5%
Other values (190) 190
89.2%
2023-12-12T20:16:48.649179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 496
20.3%
- 426
17.4%
2 387
15.8%
8 243
9.9%
1 148
 
6.1%
9 147
 
6.0%
5 143
 
5.8%
3 128
 
5.2%
6 127
 
5.2%
7 122
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2019
82.6%
Dash Punctuation 426
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 496
24.6%
2 387
19.2%
8 243
12.0%
1 148
 
7.3%
9 147
 
7.3%
5 143
 
7.1%
3 128
 
6.3%
6 127
 
6.3%
7 122
 
6.0%
4 78
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 496
20.3%
- 426
17.4%
2 387
15.8%
8 243
9.9%
1 148
 
6.1%
9 147
 
6.0%
5 143
 
5.8%
3 128
 
5.2%
6 127
 
5.2%
7 122
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 496
20.3%
- 426
17.4%
2 387
15.8%
8 243
9.9%
1 148
 
6.1%
9 147
 
6.0%
5 143
 
5.8%
3 128
 
5.2%
6 127
 
5.2%
7 122
 
5.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022-09-08
213 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-08
2nd row2022-09-08
3rd row2022-09-08
4th row2022-09-08
5th row2022-09-08

Common Values

ValueCountFrequency (%)
2022-09-08 213
100.0%

Length

2023-12-12T20:16:48.895947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:16:49.058907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-08 213
100.0%

Missing values

2023-12-12T20:16:44.450665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:16:44.624269image/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
0서울바른세상병원집단급식소서울특별시 금천구 시흥대로 421, 지하1층 (독산동)02-2111-98062022-09-08
1성지병원집단급식소서울특별시 금천구 가산로 122, 지하1층 (가산동)02-867-70562022-09-08
2의료법인 새움의료재단집단급식소서울특별시 금천구 시흥대로139길 8, 지상8층 (독산동)02-1577-70152022-09-08
3희명의료재단집단급식소서울특별시 금천구 시흥대로 244, 희명병원 (시흥동)02-804-00022022-09-08
4녹십자요양병원집단급식소서울특별시 금천구 시흥대로 202 (시흥동, 지상3층)02-1544-27082022-09-08
5서울대효병원집단급식소서울특별시 금천구 시흥대로 230, 5층,6층,7층 (시흥동, 서평빌딩)02-896-21142022-09-08
6금천수요양병원집단급식소서울특별시 금천구 남부순환로 140002-838-55582022-09-08
7서울양한방병원집단급식소서울특별시 금천구 독산로 362(독산동)02-857-20012022-09-08
8가산초등학교집단급식소서울특별시 금천구 남부순환로 1304-11(독산동)02-859-01822022-09-08
9금나래초등학교집단급식소서울특별시 금천구 시흥대로79길 37, 지상1층 (독산동)02-807-98272022-09-08
사업장명구분소재지전화번호데이터기준일자
203롯데쇼핑㈜VIC머켓 금천점대규모점포서울특별시 금천구 두산로 71(독산동)02-2109-75232022-09-08
204마리오쇼핑주식회사대규모점포서울특별시 금천구 디지털로 185(가산동)02-2109-72112022-09-08
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