Overview

Dataset statistics

Number of variables6
Number of observations106
Missing cells19
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory50.2 B

Variable types

Categorical1
Text4
Numeric1

Dataset

Description경기도 고양시 집단급식소 위탁운영 현황 데이터는 업소명, 주소, 전화번호, 1일급식인원, 위탁급식업소명 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/15084286/fileData.do

Alerts

시군명 has constant value ""Constant
업소전화번호 has 19 (17.9%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:42:01.462061
Analysis finished2023-12-11 23:42:02.207879
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size980.0 B
고양시
106 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양시 106
100.0%

Length

2023-12-12T08:42:02.279848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:42:02.371684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 106
100.0%
Distinct104
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-12T08:42:02.603276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.45283
Min length4

Characters and Unicode

Total characters1108
Distinct characters217
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

Unique102 ?
Unique (%)96.2%

Sample

1st row농협대학교
2nd row명지의료재단 명지병원
3rd row한국항공대학교
4th row롯데쇼핑(주) 롯데마트화정점
5th row한국항공대학교
ValueCountFrequency (%)
유한회사 3
 
2.1%
고양물류센터 3
 
2.1%
주식회사 3
 
2.1%
한국항공대학교 2
 
1.4%
쿠팡풀필먼트서비스 2
 
1.4%
국립암센터 2
 
1.4%
일산차병원 2
 
1.4%
성광의료재단 2
 
1.4%
주)홈플러스일산점 1
 
0.7%
행복한요양원 1
 
0.7%
Other values (124) 124
85.5%
2023-12-12T08:42:03.115807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
4.1%
43
 
3.9%
39
 
3.5%
33
 
3.0%
) 31
 
2.8%
( 31
 
2.8%
28
 
2.5%
27
 
2.4%
25
 
2.3%
24
 
2.2%
Other values (207) 782
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
90.1%
Space Separator 39
 
3.5%
Close Punctuation 31
 
2.8%
Open Punctuation 31
 
2.8%
Uppercase Letter 7
 
0.6%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
4.5%
43
 
4.3%
33
 
3.3%
28
 
2.8%
27
 
2.7%
25
 
2.5%
24
 
2.4%
22
 
2.2%
20
 
2.0%
19
 
1.9%
Other values (196) 712
71.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
C 1
14.3%
M 1
14.3%
Y 1
14.3%
S 1
14.3%
G 1
14.3%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 998
90.1%
Common 103
 
9.3%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
4.5%
43
 
4.3%
33
 
3.3%
28
 
2.8%
27
 
2.7%
25
 
2.5%
24
 
2.4%
22
 
2.2%
20
 
2.0%
19
 
1.9%
Other values (196) 712
71.3%
Latin
ValueCountFrequency (%)
A 2
28.6%
C 1
14.3%
M 1
14.3%
Y 1
14.3%
S 1
14.3%
G 1
14.3%
Common
ValueCountFrequency (%)
39
37.9%
) 31
30.1%
( 31
30.1%
· 1
 
1.0%
+ 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 998
90.1%
ASCII 109
 
9.8%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
45
 
4.5%
43
 
4.3%
33
 
3.3%
28
 
2.8%
27
 
2.7%
25
 
2.5%
24
 
2.4%
22
 
2.2%
20
 
2.0%
19
 
1.9%
Other values (196) 712
71.3%
ASCII
ValueCountFrequency (%)
39
35.8%
) 31
28.4%
( 31
28.4%
A 2
 
1.8%
C 1
 
0.9%
M 1
 
0.9%
Y 1
 
0.9%
S 1
 
0.9%
G 1
 
0.9%
+ 1
 
0.9%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct105
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-12T08:42:03.443739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length39.962264
Min length24

Characters and Unicode

Total characters4236
Distinct characters221
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)98.1%

Sample

1st row경기도 고양시 덕양구 서삼릉길 281, 농협대학교 (원당동)
2nd row경기도 고양시 덕양구 화수로14번길 55 (화정동)
3rd row경기도 고양시 덕양구 항공대학로 76 (화전동,외35필지 한국항공대학교 학생회관)
4th row경기도 고양시 덕양구 화중로 66 (화정동)
5th row경기도 고양시 덕양구 항공대학로 76 (화전동,외35필지 한국항공대학교 항공우주센터)
ValueCountFrequency (%)
경기도 106
 
12.4%
고양시 106
 
12.4%
일산동구 54
 
6.3%
일부호 40
 
4.7%
덕양구 33
 
3.9%
지하1층 24
 
2.8%
일산서구 19
 
2.2%
중앙로 13
 
1.5%
장항동 10
 
1.2%
백석동 10
 
1.2%
Other values (295) 442
51.6%
2023-12-12T08:42:03.951787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
752
 
17.8%
199
 
4.7%
161
 
3.8%
160
 
3.8%
1 146
 
3.4%
129
 
3.0%
, 124
 
2.9%
) 123
 
2.9%
( 123
 
2.9%
115
 
2.7%
Other values (211) 2204
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2570
60.7%
Space Separator 752
 
17.8%
Decimal Number 507
 
12.0%
Other Punctuation 124
 
2.9%
Close Punctuation 123
 
2.9%
Open Punctuation 123
 
2.9%
Dash Punctuation 24
 
0.6%
Uppercase Letter 13
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
199
 
7.7%
161
 
6.3%
160
 
6.2%
129
 
5.0%
115
 
4.5%
110
 
4.3%
110
 
4.3%
109
 
4.2%
108
 
4.2%
103
 
4.0%
Other values (188) 1266
49.3%
Decimal Number
ValueCountFrequency (%)
1 146
28.8%
3 67
13.2%
2 57
 
11.2%
0 51
 
10.1%
5 40
 
7.9%
7 37
 
7.3%
8 32
 
6.3%
6 30
 
5.9%
4 26
 
5.1%
9 21
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
38.5%
A 2
 
15.4%
S 1
 
7.7%
W 1
 
7.7%
E 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
F 1
 
7.7%
Space Separator
ValueCountFrequency (%)
752
100.0%
Other Punctuation
ValueCountFrequency (%)
, 124
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2570
60.7%
Common 1653
39.0%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
199
 
7.7%
161
 
6.3%
160
 
6.2%
129
 
5.0%
115
 
4.5%
110
 
4.3%
110
 
4.3%
109
 
4.2%
108
 
4.2%
103
 
4.0%
Other values (188) 1266
49.3%
Common
ValueCountFrequency (%)
752
45.5%
1 146
 
8.8%
, 124
 
7.5%
) 123
 
7.4%
( 123
 
7.4%
3 67
 
4.1%
2 57
 
3.4%
0 51
 
3.1%
5 40
 
2.4%
7 37
 
2.2%
Other values (5) 133
 
8.0%
Latin
ValueCountFrequency (%)
B 5
38.5%
A 2
 
15.4%
S 1
 
7.7%
W 1
 
7.7%
E 1
 
7.7%
T 1
 
7.7%
K 1
 
7.7%
F 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2570
60.7%
ASCII 1666
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
752
45.1%
1 146
 
8.8%
, 124
 
7.4%
) 123
 
7.4%
( 123
 
7.4%
3 67
 
4.0%
2 57
 
3.4%
0 51
 
3.1%
5 40
 
2.4%
7 37
 
2.2%
Other values (13) 146
 
8.8%
Hangul
ValueCountFrequency (%)
199
 
7.7%
161
 
6.3%
160
 
6.2%
129
 
5.0%
115
 
4.5%
110
 
4.3%
110
 
4.3%
109
 
4.2%
108
 
4.2%
103
 
4.0%
Other values (188) 1266
49.3%

업소전화번호
Text

MISSING 

Distinct86
Distinct (%)98.9%
Missing19
Missing (%)17.9%
Memory size980.0 B
2023-12-12T08:42:04.247633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.988506
Min length11

Characters and Unicode

Total characters1043
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

Unique85 ?
Unique (%)97.7%

Sample

1st row031-960-4215
2nd row031-810-6323
3rd row02-300-0265
4th row031-974-6942
5th row02-300-0265
ValueCountFrequency (%)
02-300-0265 2
 
2.3%
031-965-2203 1
 
1.1%
02-1800-5173 1
 
1.1%
031-900-2416 1
 
1.1%
02-2006-3450 1
 
1.1%
031-976-2428 1
 
1.1%
031-920-5310 1
 
1.1%
031-977-4888 1
 
1.1%
02-526-2000 1
 
1.1%
031-975-1111 1
 
1.1%
Other values (76) 76
87.4%
2023-12-12T08:42:04.635699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 211
20.2%
- 174
16.7%
1 134
12.8%
3 111
10.6%
9 100
9.6%
2 81
 
7.8%
6 60
 
5.8%
7 52
 
5.0%
8 43
 
4.1%
5 41
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 869
83.3%
Dash Punctuation 174
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 211
24.3%
1 134
15.4%
3 111
12.8%
9 100
11.5%
2 81
 
9.3%
6 60
 
6.9%
7 52
 
6.0%
8 43
 
4.9%
5 41
 
4.7%
4 36
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 174
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1043
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 211
20.2%
- 174
16.7%
1 134
12.8%
3 111
10.6%
9 100
9.6%
2 81
 
7.8%
6 60
 
5.8%
7 52
 
5.0%
8 43
 
4.1%
5 41
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1043
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 211
20.2%
- 174
16.7%
1 134
12.8%
3 111
10.6%
9 100
9.6%
2 81
 
7.8%
6 60
 
5.8%
7 52
 
5.0%
8 43
 
4.1%
5 41
 
3.9%

1일급식인원
Real number (ℝ)

Distinct69
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.17925
Minimum40
Maximum4000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T08:42:04.795298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile71.25
Q1140.5
median267.5
Q3525
95-th percentile1600
Maximum4000
Range3960
Interquartile range (IQR)384.5

Descriptive statistics

Standard deviation656.82799
Coefficient of variation (CV)1.3454648
Kurtosis12.674673
Mean488.17925
Median Absolute Deviation (MAD)167.5
Skewness3.3276357
Sum51747
Variance431423.01
MonotonicityNot monotonic
2023-12-12T08:42:04.956104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 6
 
5.7%
800 4
 
3.8%
80 4
 
3.8%
600 4
 
3.8%
200 4
 
3.8%
250 3
 
2.8%
450 3
 
2.8%
500 3
 
2.8%
150 3
 
2.8%
280 2
 
1.9%
Other values (59) 70
66.0%
ValueCountFrequency (%)
40 1
 
0.9%
52 1
 
0.9%
55 1
 
0.9%
60 1
 
0.9%
65 1
 
0.9%
70 1
 
0.9%
75 1
 
0.9%
80 4
3.8%
85 1
 
0.9%
90 1
 
0.9%
ValueCountFrequency (%)
4000 1
0.9%
3500 1
0.9%
2700 2
1.9%
1800 1
0.9%
1600 2
1.9%
1522 1
0.9%
1200 1
0.9%
1150 1
0.9%
1100 1
0.9%
860 1
0.9%
Distinct104
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-12T08:42:05.205862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length14.084906
Min length3

Characters and Unicode

Total characters1493
Distinct characters254
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

Unique102 ?
Unique (%)96.2%

Sample

1st row(주)동산IFS농협대점
2nd row(주)아워홈 명지병원일산점
3rd row한국항공대학교학생식당
4th row롯데마트화정점직원식당 이조케이터링서비스㈜
5th row한국항공대학교학생식당
ValueCountFrequency (%)
주식회사 8
 
4.5%
씨제이프레시웨이(주 4
 
2.2%
주)아워홈 4
 
2.2%
일산점 3
 
1.7%
주)엘에스씨푸드 3
 
1.7%
홈플러스 3
 
1.7%
주)웰스프레쉬 3
 
1.7%
쿠팡고양물류센터 2
 
1.1%
실버킹 2
 
1.1%
한국항공대학교학생식당 2
 
1.1%
Other values (139) 145
81.0%
2023-12-12T08:42:05.940116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
4.9%
65
 
4.4%
( 61
 
4.1%
) 61
 
4.1%
49
 
3.3%
45
 
3.0%
45
 
3.0%
37
 
2.5%
36
 
2.4%
33
 
2.2%
Other values (244) 988
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1267
84.9%
Space Separator 73
 
4.9%
Open Punctuation 61
 
4.1%
Close Punctuation 61
 
4.1%
Uppercase Letter 24
 
1.6%
Other Symbol 4
 
0.3%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
5.1%
49
 
3.9%
45
 
3.6%
45
 
3.6%
37
 
2.9%
36
 
2.8%
33
 
2.6%
32
 
2.5%
31
 
2.4%
26
 
2.1%
Other values (225) 868
68.5%
Uppercase Letter
ValueCountFrequency (%)
S 8
33.3%
B 3
 
12.5%
M 3
 
12.5%
F 2
 
8.3%
T 1
 
4.2%
I 1
 
4.2%
A 1
 
4.2%
C 1
 
4.2%
Y 1
 
4.2%
E 1
 
4.2%
Other values (2) 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
3 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1271
85.1%
Common 198
 
13.3%
Latin 24
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
5.1%
49
 
3.9%
45
 
3.5%
45
 
3.5%
37
 
2.9%
36
 
2.8%
33
 
2.6%
32
 
2.5%
31
 
2.4%
26
 
2.0%
Other values (226) 872
68.6%
Latin
ValueCountFrequency (%)
S 8
33.3%
B 3
 
12.5%
M 3
 
12.5%
F 2
 
8.3%
T 1
 
4.2%
I 1
 
4.2%
A 1
 
4.2%
C 1
 
4.2%
Y 1
 
4.2%
E 1
 
4.2%
Other values (2) 2
 
8.3%
Common
ValueCountFrequency (%)
73
36.9%
( 61
30.8%
) 61
30.8%
2 1
 
0.5%
3 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1267
84.9%
ASCII 222
 
14.9%
None 4
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
32.9%
( 61
27.5%
) 61
27.5%
S 8
 
3.6%
B 3
 
1.4%
M 3
 
1.4%
F 2
 
0.9%
T 1
 
0.5%
2 1
 
0.5%
I 1
 
0.5%
Other values (8) 8
 
3.6%
Hangul
ValueCountFrequency (%)
65
 
5.1%
49
 
3.9%
45
 
3.6%
45
 
3.6%
37
 
2.9%
36
 
2.8%
33
 
2.6%
32
 
2.5%
31
 
2.4%
26
 
2.1%
Other values (225) 868
68.5%
None
ValueCountFrequency (%)
4
100.0%

Interactions

2023-12-12T08:42:01.899362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:42:06.051965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소전화번호1일급식인원
업소전화번호1.0000.000
1일급식인원0.0001.000

Missing values

2023-12-12T08:42:02.028293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:42:02.152884image/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

시군명업소명소재지도로명주소업소전화번호1일급식인원위탁급식업소명
0고양시농협대학교경기도 고양시 덕양구 서삼릉길 281, 농협대학교 (원당동)031-960-42151200(주)동산IFS농협대점
1고양시명지의료재단 명지병원경기도 고양시 덕양구 화수로14번길 55 (화정동)031-810-6323450(주)아워홈 명지병원일산점
2고양시한국항공대학교경기도 고양시 덕양구 항공대학로 76 (화전동,외35필지 한국항공대학교 학생회관)02-300-02652700한국항공대학교학생식당
3고양시롯데쇼핑(주) 롯데마트화정점경기도 고양시 덕양구 화중로 66 (화정동)031-974-6942800롯데마트화정점직원식당 이조케이터링서비스㈜
4고양시한국항공대학교경기도 고양시 덕양구 항공대학로 76 (화전동,외35필지 한국항공대학교 항공우주센터)02-300-0265350한국항공대학교학생식당
5고양시유진기업(주)서서울경기도 고양시 덕양구 통일로493번길 35 (대자동,1층)031-966-9111510유진엠(주) 유진기업 서서울
6고양시준명복지재단경기도 고양시 덕양구 고골길178번길 73 (관산동,(지하1층))031-962-8360650삼성웰스토리(주)순애노인파인밸리요양원
7고양시고양문화재단경기도 고양시 덕양구 어울림로 33 (성사동)031-960-970680맛드림
8고양시수도권철도차량정비단경기도 고양시 덕양구 행주로 108-1 (강매동, 복지회관 1층)031-814-9292450수도권철도차량정비단(복지동)
9고양시에이스메디칼(주)경기도 고양시 덕양구 내유길124번길 33 (내유동)031-960-9200240민들레푸드
시군명업소명소재지도로명주소업소전화번호1일급식인원위탁급식업소명
96고양시이마트 킨텍스점경기도 고양시 일산서구 킨텍스로 171, 지하1층 일부호 (대화동, 일산킨텍스 복합개발)031-936-1196800이마트타운 킨텍스로점
97고양시이투스교육(주) 청솔학원 일산지점경기도 고양시 일산서구 주화로 50 (주엽동, 지하1층일부)031-903-90011600영원푸드 일산점
98고양시고양원마운트경기도 고양시 일산서구 한류월드로 300, W301일부호 (대화동, 고양원마운트)031-961-6172100원마운트 3층 직원식당
99고양시현대자동차(주) 고양하이테크센터경기도 고양시 일산서구 킨텍스로 217-6, 8층 일부호 (대화동, 현대모터스튜디오 고양)0234-6422-15530(주)현대그린푸드 현대자동차 고양하이테크센타
100고양시(주)태건비에프경기도 고양시 일산서구 덕산로57번길 25, 아동 1층 (일부)호 (구산동)<NA>210씨제이프레시웨이(주) 태건비에프점
101고양시동해운수(주)구내식당경기도 고양시 일산서구 경의로 772, B동 1층 일부호 (대화동)031-913-6080270동해운수구내식당
102고양시주식회사 일산시니어 탄현점경기도 고양시 일산서구 일현로 47, 예일 큰프라자 8(일부)층 (탄현동)070-8224-8507280주식회사 실버킹 탄현지사
103고양시일산시티요양원경기도 고양시 일산서구 원일로 69, 씨티프라자 4층 일부호 (일산동)<NA>106스타에프엔비(가좌호수요양원)
104고양시한국건설기술연구원경기도 고양시 일산서구 고양대로 283, 한국건설기술연구원 본관동 지하1층 (대화동)031-910-0114300델리한국건설기술연구원점
105고양시주식회사 선진운수 일산영업소경기도 고양시 일산서구 덕산로 174, 1층 일부호 (가좌동)<NA>120선진운수 일산영업소