Overview

Dataset statistics

Number of variables20
Number of observations155
Missing cells1185
Missing cells (%)38.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory172.9 B

Variable types

Categorical3
Text4
DateTime2
Unsupported5
Numeric6

Alerts

영업상태명 is highly overall correlated with 영업상태구분코드High correlation
영업상태구분코드 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
도로명우편번호 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with 도로명우편번호 and 3 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 도로명우편번호 and 3 other fieldsHigh correlation
WGS84경도 is highly overall correlated with X좌표값 and 1 other fieldsHigh correlation
X좌표값 is highly overall correlated with WGS84경도 and 1 other fieldsHigh correlation
Y좌표값 is highly overall correlated with 도로명우편번호 and 3 other fieldsHigh correlation
시군명 is highly overall correlated with 도로명우편번호 and 4 other fieldsHigh correlation
인허가취소일자 has 155 (100.0%) missing valuesMissing
폐업일자 has 75 (48.4%) missing valuesMissing
소재지시설전화번호 has 101 (65.2%) missing valuesMissing
소재지면적정보 has 155 (100.0%) missing valuesMissing
도로명우편번호 has 74 (47.7%) missing valuesMissing
소재지도로명주소 has 2 (1.3%) missing valuesMissing
업태구분명정보 has 155 (100.0%) missing valuesMissing
X좌표값 has 77 (49.7%) missing valuesMissing
Y좌표값 has 77 (49.7%) missing valuesMissing
수리대상유형정보 has 155 (100.0%) missing valuesMissing
다른 겸업 여부 has 155 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상유형정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:32:47.387139
Analysis finished2023-12-10 22:32:52.746793
Duration5.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
성남시
22 
고양시
13 
화성시
12 
부천시
10 
시흥시
10 
Other values (19)
88 

Length

Max length4
Median length3
Mean length3.0709677
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 22
14.2%
고양시 13
 
8.4%
화성시 12
 
7.7%
부천시 10
 
6.5%
시흥시 10
 
6.5%
용인시 9
 
5.8%
안양시 8
 
5.2%
수원시 8
 
5.2%
안산시 8
 
5.2%
광주시 6
 
3.9%
Other values (14) 49
31.6%

Length

2023-12-11T07:32:52.826804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 22
14.2%
고양시 13
 
8.4%
화성시 12
 
7.7%
부천시 10
 
6.5%
시흥시 10
 
6.5%
용인시 9
 
5.8%
안양시 8
 
5.2%
수원시 8
 
5.2%
안산시 8
 
5.2%
파주시 6
 
3.9%
Other values (14) 49
31.6%

사업장명
Text

Distinct148
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T07:32:53.088535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.6258065
Min length3

Characters and Unicode

Total characters1182
Distinct characters231
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

Unique142 ?
Unique (%)91.6%

Sample

1st row(주)화이니스
2nd row(주)닛신
3rd row주식회사 에스에이치이앤티
4th row현민전자(필립스일산서비스센터)
5th row(주)조아
ValueCountFrequency (%)
주식회사 13
 
6.9%
위니아서비스평택점 3
 
1.6%
다솔실버케어 2
 
1.1%
지에스메디텍 2
 
1.1%
와이즈텍 2
 
1.1%
포천 2
 
1.1%
c.i.l 2
 
1.1%
사회적협동조합 2
 
1.1%
주)조아 2
 
1.1%
보청기 1
 
0.5%
Other values (157) 157
83.5%
2023-12-11T07:32:53.481550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 52
 
4.4%
주 49
 
4.1%
) 39
 
3.3%
( 39
 
3.3%
33
 
2.8%
이 30
 
2.5%
메 28
 
2.4%
기 27
 
2.3%
디 27
 
2.3%
회 24
 
2.0%
Other values (221) 834
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1044
88.3%
Close Punctuation 39
 
3.3%
Open Punctuation 39
 
3.3%
Space Separator 33
 
2.8%
Other Symbol 11
 
0.9%
Uppercase Letter 7
 
0.6%
Other Punctuation 5
 
0.4%
Decimal Number 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 52
 
5.0%
주 49
 
4.7%
이 30
 
2.9%
메 28
 
2.7%
기 27
 
2.6%
디 27
 
2.6%
회 24
 
2.3%
사 22
 
2.1%
에 21
 
2.0%
터 19
 
1.8%
Other values (209) 745
71.4%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
I 2
28.6%
C 2
28.6%
A 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1055
89.3%
Common 120
 
10.2%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 52
 
4.9%
주 49
 
4.6%
이 30
 
2.8%
메 28
 
2.7%
기 27
 
2.6%
디 27
 
2.6%
회 24
 
2.3%
사 22
 
2.1%
에 21
 
2.0%
터 19
 
1.8%
Other values (210) 756
71.7%
Common
ValueCountFrequency (%)
) 39
32.5%
( 39
32.5%
33
27.5%
. 5
 
4.2%
1 2
 
1.7%
- 1
 
0.8%
4 1
 
0.8%
Latin
ValueCountFrequency (%)
L 2
28.6%
I 2
28.6%
C 2
28.6%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1044
88.3%
ASCII 127
 
10.7%
None 11
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 52
 
5.0%
주 49
 
4.7%
이 30
 
2.9%
메 28
 
2.7%
기 27
 
2.6%
디 27
 
2.6%
회 24
 
2.3%
사 22
 
2.1%
에 21
 
2.0%
터 19
 
1.8%
Other values (209) 745
71.4%
ASCII
ValueCountFrequency (%)
) 39
30.7%
( 39
30.7%
33
26.0%
. 5
 
3.9%
L 2
 
1.6%
I 2
 
1.6%
C 2
 
1.6%
1 2
 
1.6%
- 1
 
0.8%
A 1
 
0.8%
None
ValueCountFrequency (%)
㈜ 11
100.0%

인허가일자
Date

Distinct145
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2004-10-04 00:00:00
Maximum2023-11-24 00:00:00
2023-12-11T07:32:53.628626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:53.772917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

영업상태구분코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
73 
13
57 
3
19 
15
 
5
2
 
1

Length

Max length4
Median length2
Mean length2.8129032
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row15

Common Values

ValueCountFrequency (%)
<NA> 73
47.1%
13 57
36.8%
3 19
 
12.3%
15 5
 
3.2%
2 1
 
0.6%

Length

2023-12-11T07:32:53.900481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:54.020745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
47.1%
13 57
36.8%
3 19
 
12.3%
15 5
 
3.2%
2 1
 
0.6%

영업상태명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
폐업 등
64 
영업중
57 
폐업
19 
운영중
9 
전출
 
5

Length

Max length4
Median length3
Mean length3.2516129
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row영업중
5th row전출

Common Values

ValueCountFrequency (%)
폐업 등 64
41.3%
영업중 57
36.8%
폐업 19
 
12.3%
운영중 9
 
5.8%
전출 5
 
3.2%
휴업 1
 
0.6%

Length

2023-12-11T07:32:54.144792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:54.285994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 83
37.9%
등 64
29.2%
영업중 57
26.0%
운영중 9
 
4.1%
전출 5
 
2.3%
휴업 1
 
0.5%

폐업일자
Date

MISSING 

Distinct76
Distinct (%)95.0%
Missing75
Missing (%)48.4%
Memory size1.3 KiB
Minimum2011-04-12 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:32:54.405546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:54.568292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct51
Distinct (%)94.4%
Missing101
Missing (%)65.2%
Memory size1.3 KiB
2023-12-11T07:32:54.819660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.944444
Min length8

Characters and Unicode

Total characters645
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

Unique48 ?
Unique (%)88.9%

Sample

1st row031-908-6055
2nd row031-790-0595
3rd row02-3141-6605
4th row031-904-9076
5th row031-945-2611
ValueCountFrequency (%)
031-826-9468 2
 
3.7%
031-945-2611 2
 
3.7%
031-790-0595 2
 
3.7%
031-353-8927 1
 
1.9%
031-260-9300 1
 
1.9%
031-298-6021 1
 
1.9%
031-908-6055 1
 
1.9%
031-344-7379 1
 
1.9%
031-8033-0643 1
 
1.9%
031-445-1255 1
 
1.9%
Other values (41) 41
75.9%
2023-12-11T07:32:55.188021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 103
16.0%
0 102
15.8%
1 82
12.7%
3 77
11.9%
8 45
7.0%
2 45
7.0%
6 45
7.0%
5 40
 
6.2%
9 37
 
5.7%
7 36
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 542
84.0%
Dash Punctuation 103
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
18.8%
1 82
15.1%
3 77
14.2%
8 45
8.3%
2 45
8.3%
6 45
8.3%
5 40
 
7.4%
9 37
 
6.8%
7 36
 
6.6%
4 33
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 645
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 103
16.0%
0 102
15.8%
1 82
12.7%
3 77
11.9%
8 45
7.0%
2 45
7.0%
6 45
7.0%
5 40
 
6.2%
9 37
 
5.7%
7 36
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 645
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 103
16.0%
0 102
15.8%
1 82
12.7%
3 77
11.9%
8 45
7.0%
2 45
7.0%
6 45
7.0%
5 40
 
6.2%
9 37
 
5.7%
7 36
 
5.6%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

도로명우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct78
Distinct (%)96.3%
Missing74
Missing (%)47.7%
Infinite0
Infinite (%)0.0%
Mean14320.481
Minimum10257
Maximum18526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T07:32:55.327232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10257
5-th percentile10552
Q112930
median14042
Q315865
95-th percentile18313
Maximum18526
Range8269
Interquartile range (IQR)2935

Descriptive statistics

Standard deviation2266.0247
Coefficient of variation (CV)0.15823663
Kurtosis-0.72255282
Mean14320.481
Median Absolute Deviation (MAD)1313
Skewness0.16732353
Sum1159959
Variance5134868
MonotonicityNot monotonic
2023-12-11T07:32:55.498866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18313 2
 
1.3%
17844 2
 
1.3%
17006 2
 
1.3%
15086 1
 
0.6%
15047 1
 
0.6%
14995 1
 
0.6%
14998 1
 
0.6%
14921 1
 
0.6%
15324 1
 
0.6%
16995 1
 
0.6%
Other values (68) 68
43.9%
(Missing) 74
47.7%
ValueCountFrequency (%)
10257 1
0.6%
10258 1
0.6%
10404 1
0.6%
10449 1
0.6%
10552 1
0.6%
10575 1
0.6%
10913 1
0.6%
11138 1
0.6%
11403 1
0.6%
11451 1
0.6%
ValueCountFrequency (%)
18526 1
0.6%
18471 1
0.6%
18467 1
0.6%
18336 1
0.6%
18313 2
1.3%
18112 1
0.6%
17844 2
1.3%
17364 1
0.6%
17310 1
0.6%
17006 2
1.3%

소재지도로명주소
Text

MISSING 

Distinct149
Distinct (%)97.4%
Missing2
Missing (%)1.3%
Memory size1.3 KiB
2023-12-11T07:32:55.774748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length32.830065
Min length17

Characters and Unicode

Total characters5023
Distinct characters286
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

Unique145 ?
Unique (%)94.8%

Sample

1st row경기도 고양시 일산동구 문봉길 55, 2층 일부호 (문봉동)
2nd row경기도 고양시 덕양구 삼막3길 5, 삼송 한강듀클래스 지층 142호 (오금동)
3rd row경기도 고양시 덕양구 서오릉로716번길 98-15, 1층 일부호 (원흥동)
4th row경기도 고양시 일산동구 일산로 46, 남정씨티프라자 402-2호 (백석동)
5th row경기도 고양시 일산동구 성현로377번길 140 (문봉동)
ValueCountFrequency (%)
경기도 153
 
14.8%
성남시 22
 
2.1%
화성시 12
 
1.2%
고양시 12
 
1.2%
시흥시 10
 
1.0%
부천시 10
 
1.0%
분당구 9
 
0.9%
1층 9
 
0.9%
용인시 9
 
0.9%
수원시 8
 
0.8%
Other values (534) 777
75.4%
2023-12-11T07:32:56.498265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
943
 
18.8%
1 184
 
3.7%
시 169
 
3.4%
동 168
 
3.3%
기 162
 
3.2%
경 160
 
3.2%
도 154
 
3.1%
로 139
 
2.8%
) 132
 
2.6%
( 132
 
2.6%
Other values (276) 2680
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2786
55.5%
Space Separator 943
 
18.8%
Decimal Number 834
 
16.6%
Close Punctuation 132
 
2.6%
Open Punctuation 132
 
2.6%
Other Punctuation 132
 
2.6%
Uppercase Letter 32
 
0.6%
Dash Punctuation 31
 
0.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 169
 
6.1%
동 168
 
6.0%
기 162
 
5.8%
경 160
 
5.7%
도 154
 
5.5%
로 139
 
5.0%
호 82
 
2.9%
구 75
 
2.7%
길 60
 
2.2%
성 47
 
1.7%
Other values (248) 1570
56.4%
Uppercase Letter
ValueCountFrequency (%)
T 6
18.8%
A 5
15.6%
B 4
12.5%
E 3
9.4%
I 3
9.4%
R 3
9.4%
C 2
 
6.2%
W 2
 
6.2%
U 2
 
6.2%
O 1
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 184
22.1%
2 131
15.7%
0 108
12.9%
4 86
10.3%
3 84
10.1%
5 73
 
8.8%
7 51
 
6.1%
6 49
 
5.9%
9 37
 
4.4%
8 31
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 131
99.2%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
943
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2786
55.5%
Common 2205
43.9%
Latin 32
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 169
 
6.1%
동 168
 
6.0%
기 162
 
5.8%
경 160
 
5.7%
도 154
 
5.5%
로 139
 
5.0%
호 82
 
2.9%
구 75
 
2.7%
길 60
 
2.2%
성 47
 
1.7%
Other values (248) 1570
56.4%
Common
ValueCountFrequency (%)
943
42.8%
1 184
 
8.3%
) 132
 
6.0%
( 132
 
6.0%
2 131
 
5.9%
, 131
 
5.9%
0 108
 
4.9%
4 86
 
3.9%
3 84
 
3.8%
5 73
 
3.3%
Other values (7) 201
 
9.1%
Latin
ValueCountFrequency (%)
T 6
18.8%
A 5
15.6%
B 4
12.5%
E 3
9.4%
I 3
9.4%
R 3
9.4%
C 2
 
6.2%
W 2
 
6.2%
U 2
 
6.2%
O 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2786
55.5%
ASCII 2237
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
943
42.2%
1 184
 
8.2%
) 132
 
5.9%
( 132
 
5.9%
2 131
 
5.9%
, 131
 
5.9%
0 108
 
4.8%
4 86
 
3.8%
3 84
 
3.8%
5 73
 
3.3%
Other values (18) 233
 
10.4%
Hangul
ValueCountFrequency (%)
시 169
 
6.1%
동 168
 
6.0%
기 162
 
5.8%
경 160
 
5.7%
도 154
 
5.5%
로 139
 
5.0%
호 82
 
2.9%
구 75
 
2.7%
길 60
 
2.2%
성 47
 
1.7%
Other values (248) 1570
56.4%

소재지지번주소
Text

Distinct150
Distinct (%)97.4%
Missing1
Missing (%)0.6%
Memory size1.3 KiB
2023-12-11T07:32:56.800174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length25.909091
Min length8

Characters and Unicode

Total characters3990
Distinct characters243
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

Unique146 ?
Unique (%)94.8%

Sample

1st row경기도 고양시 일산동구 문봉동 224-13
2nd row경기도 고양시 덕양구 오금동 686 고양삼송 한강듀클래스
3rd row경기도 고양시 덕양구 원흥동 384
4th row경기도 고양시 일산동구 백석동 1308 남정씨티프라자
5th row경기도 고양시 일산동구 문봉동 26번지 20호
ValueCountFrequency (%)
경기도 153
 
17.2%
성남시 22
 
2.5%
고양시 13
 
1.5%
화성시 12
 
1.3%
3호 12
 
1.3%
시흥시 10
 
1.1%
분당구 9
 
1.0%
용인시 9
 
1.0%
부천시 9
 
1.0%
1호 8
 
0.9%
Other values (428) 633
71.1%
2023-12-11T07:32:57.251047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
788
19.7%
시 166
 
4.2%
동 162
 
4.1%
기 159
 
4.0%
도 155
 
3.9%
경 154
 
3.9%
1 133
 
3.3%
지 114
 
2.9%
번 102
 
2.6%
2 94
 
2.4%
Other values (233) 1963
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2384
59.7%
Space Separator 788
 
19.7%
Decimal Number 727
 
18.2%
Dash Punctuation 54
 
1.4%
Uppercase Letter 27
 
0.7%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 166
 
7.0%
동 162
 
6.8%
기 159
 
6.7%
도 155
 
6.5%
경 154
 
6.5%
지 114
 
4.8%
번 102
 
4.3%
호 93
 
3.9%
구 73
 
3.1%
성 44
 
1.8%
Other values (205) 1162
48.7%
Uppercase Letter
ValueCountFrequency (%)
T 5
18.5%
B 5
18.5%
A 3
11.1%
E 3
11.1%
W 2
 
7.4%
R 2
 
7.4%
U 2
 
7.4%
I 2
 
7.4%
O 1
 
3.7%
N 1
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 133
18.3%
2 94
12.9%
4 81
11.1%
0 78
10.7%
3 75
10.3%
6 67
9.2%
5 59
8.1%
7 52
 
7.2%
9 47
 
6.5%
8 41
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
788
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2384
59.7%
Common 1579
39.6%
Latin 27
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 166
 
7.0%
동 162
 
6.8%
기 159
 
6.7%
도 155
 
6.5%
경 154
 
6.5%
지 114
 
4.8%
번 102
 
4.3%
호 93
 
3.9%
구 73
 
3.1%
성 44
 
1.8%
Other values (205) 1162
48.7%
Common
ValueCountFrequency (%)
788
49.9%
1 133
 
8.4%
2 94
 
6.0%
4 81
 
5.1%
0 78
 
4.9%
3 75
 
4.7%
6 67
 
4.2%
5 59
 
3.7%
- 54
 
3.4%
7 52
 
3.3%
Other values (7) 98
 
6.2%
Latin
ValueCountFrequency (%)
T 5
18.5%
B 5
18.5%
A 3
11.1%
E 3
11.1%
W 2
 
7.4%
R 2
 
7.4%
U 2
 
7.4%
I 2
 
7.4%
O 1
 
3.7%
N 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2384
59.7%
ASCII 1606
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
788
49.1%
1 133
 
8.3%
2 94
 
5.9%
4 81
 
5.0%
0 78
 
4.9%
3 75
 
4.7%
6 67
 
4.2%
5 59
 
3.7%
- 54
 
3.4%
7 52
 
3.2%
Other values (18) 125
 
7.8%
Hangul
ValueCountFrequency (%)
시 166
 
7.0%
동 162
 
6.8%
기 159
 
6.7%
도 155
 
6.5%
경 154
 
6.5%
지 114
 
4.8%
번 102
 
4.3%
호 93
 
3.9%
구 73
 
3.1%
성 44
 
1.8%
Other values (205) 1162
48.7%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct139
Distinct (%)90.3%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean36876.701
Minimum10257
Maximum463050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T07:32:57.386941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10257
5-th percentile10467.2
Q112768.75
median14404
Q316291.75
95-th percentile163185.55
Maximum463050
Range452793
Interquartile range (IQR)3523

Descriptive statistics

Standard deviation97148.068
Coefficient of variation (CV)2.6344023
Kurtosis14.842437
Mean36876.701
Median Absolute Deviation (MAD)1701
Skewness4.0777036
Sum5679012
Variance9.4377471 × 109
MonotonicityNot monotonic
2023-12-11T07:32:57.511091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17006 2
 
1.3%
13313 2
 
1.3%
17844 2
 
1.3%
11138 2
 
1.3%
10923 2
 
1.3%
15807 2
 
1.3%
12729 2
 
1.3%
13226 2
 
1.3%
18313 2
 
1.3%
12223 2
 
1.3%
Other values (129) 134
86.5%
ValueCountFrequency (%)
10257 1
0.6%
10258 1
0.6%
10352 2
1.3%
10403 1
0.6%
10404 1
0.6%
10449 2
1.3%
10477 2
1.3%
10546 1
0.6%
10552 1
0.6%
10575 1
0.6%
ValueCountFrequency (%)
463050 1
0.6%
462800 1
0.6%
456831 1
0.6%
451811 1
0.6%
445893 1
0.6%
445170 2
1.3%
431839 1
0.6%
18526 1
0.6%
18524 1
0.6%
18471 1
0.6%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct143
Distinct (%)92.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean37.436413
Minimum36.957775
Maximum37.937396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T07:32:57.626845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.957775
5-th percentile37.188253
Q137.308261
median37.407208
Q337.541273
95-th percentile37.75648
Maximum37.937396
Range0.97962077
Interquartile range (IQR)0.23301262

Descriptive statistics

Standard deviation0.19029189
Coefficient of variation (CV)0.0050830695
Kurtosis0.13452264
Mean37.436413
Median Absolute Deviation (MAD)0.1051509
Skewness0.35635502
Sum5765.2076
Variance0.036211003
MonotonicityNot monotonic
2023-12-11T07:32:57.750884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.9373962109 2
 
1.3%
37.2195043331 2
 
1.3%
37.2714601956 2
 
1.3%
37.7555355468 2
 
1.3%
37.0094539611 2
 
1.3%
37.4343184394 2
 
1.3%
37.3082175648 2
 
1.3%
37.4353869304 2
 
1.3%
37.2209396098 2
 
1.3%
37.6860441737 2
 
1.3%
Other values (133) 134
86.5%
ValueCountFrequency (%)
36.9577754385 1
0.6%
37.0034434788 1
0.6%
37.0094539611 2
1.3%
37.0541624001 1
0.6%
37.1654518345 1
0.6%
37.1697841353 1
0.6%
37.1868954724 1
0.6%
37.1889835016 1
0.6%
37.1952880485 1
0.6%
37.1980821292 1
0.6%
ValueCountFrequency (%)
37.9373962109 2
1.3%
37.902578196 1
0.6%
37.8380072589 1
0.6%
37.8368645186 1
0.6%
37.8012424463 1
0.6%
37.7614411177 1
0.6%
37.7582326204 1
0.6%
37.7555355468 2
1.3%
37.7493456291 1
0.6%
37.7396182753 1
0.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct143
Distinct (%)92.9%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean126.99698
Minimum126.70774
Maximum127.47033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T07:32:57.882914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.70774
5-th percentile126.76032
Q1126.8322
median126.99779
Q3127.12909
95-th percentile127.22786
Maximum127.47033
Range0.76258791
Interquartile range (IQR)0.29689419

Descriptive statistics

Standard deviation0.16602334
Coefficient of variation (CV)0.0013073015
Kurtosis-0.71474929
Mean126.99698
Median Absolute Deviation (MAD)0.14499388
Skewness0.14321042
Sum19557.535
Variance0.02756375
MonotonicityNot monotonic
2023-12-11T07:32:58.035867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2199335678 2
 
1.3%
126.9476782279 2
 
1.3%
127.1512364265 2
 
1.3%
126.7766712358 2
 
1.3%
127.0763291105 2
 
1.3%
127.1622943722 2
 
1.3%
126.8287795235 2
 
1.3%
127.1278924201 2
 
1.3%
127.0748786181 2
 
1.3%
126.7650071633 2
 
1.3%
Other values (133) 134
86.5%
ValueCountFrequency (%)
126.7077396341 1
0.6%
126.7179972008 1
0.6%
126.735754493 1
0.6%
126.7509312835 1
0.6%
126.7510816918 1
0.6%
126.7520507101 1
0.6%
126.7557560049 1
0.6%
126.7571494144 1
0.6%
126.7620250177 1
0.6%
126.7622788457 1
0.6%
ValueCountFrequency (%)
127.470327545 1
0.6%
127.4457175802 1
0.6%
127.3197753101 1
0.6%
127.3120801317 1
0.6%
127.2649936515 1
0.6%
127.2567086863 1
0.6%
127.2360764571 1
0.6%
127.2354043965 1
0.6%
127.2238012427 1
0.6%
127.2199335678 2
1.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

X좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct75
Distinct (%)96.2%
Missing77
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean201177.53
Minimum174036.55
Maximum241628.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T07:32:58.190458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174036.55
5-th percentile178501.87
Q1188422.44
median203138.3
Q3212672.19
95-th percentile221105.43
Maximum241628.15
Range67591.598
Interquartile range (IQR)24249.751

Descriptive statistics

Standard deviation15275.341
Coefficient of variation (CV)0.075929658
Kurtosis-0.47105705
Mean201177.53
Median Absolute Deviation (MAD)10298.063
Skewness0.14782507
Sum15691847
Variance2.3333605 × 108
MonotonicityNot monotonic
2023-12-11T07:32:58.353686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206726.165938892 2
 
1.3%
213342.743030201 2
 
1.3%
195283.690314264 2
 
1.3%
183360.438229071 1
 
0.6%
209253.575732172 1
 
0.6%
205449.626814662 1
 
0.6%
205429.747117086 1
 
0.6%
198784.502912895 1
 
0.6%
196033.607288568 1
 
0.6%
194758.035421182 1
 
0.6%
Other values (65) 65
41.9%
(Missing) 77
49.7%
ValueCountFrequency (%)
174036.552627639 1
0.6%
176679.463152938 1
0.6%
177865.976735054 1
0.6%
178333.546360945 1
0.6%
178531.573997852 1
0.6%
179500.286868099 1
0.6%
179680.900317402 1
0.6%
180812.793057506 1
0.6%
180844.499757246 1
0.6%
181183.75587794 1
0.6%
ValueCountFrequency (%)
241628.150234469 1
0.6%
239458.298957893 1
0.6%
228242.725879785 1
0.6%
223378.813037414 1
0.6%
220704.248865261 1
0.6%
219250.600685609 1
0.6%
219065.812258053 1
0.6%
217795.962996642 1
0.6%
217137.519410187 1
0.6%
217044.982167915 1
0.6%

Y좌표값
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct75
Distinct (%)96.2%
Missing77
Missing (%)49.7%
Infinite0
Infinite (%)0.0%
Mean437409.64
Minimum389765.07
Maximum492770.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T07:32:58.513219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum389765.07
5-th percentile409648
Q1424884.16
median433905.72
Q3446374.1
95-th percentile472077.34
Maximum492770.08
Range103005.01
Interquartile range (IQR)21489.945

Descriptive statistics

Standard deviation20203.847
Coefficient of variation (CV)0.046189762
Kurtosis0.5435971
Mean437409.64
Median Absolute Deviation (MAD)11042.764
Skewness0.47559663
Sum34117952
Variance4.0819543 × 108
MonotonicityNot monotonic
2023-12-11T07:32:58.677814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389765.069424788 2
 
1.3%
418843.806151861 2
 
1.3%
413068.620386444 2
 
1.3%
436921.35229135 1
 
0.6%
422933.454216119 1
 
0.6%
409679.289433125 1
 
0.6%
481716.568809511 1
 
0.6%
488869.770329054 1
 
0.6%
431761.619090244 1
 
0.6%
431429.929596515 1
 
0.6%
Other values (65) 65
41.9%
(Missing) 77
49.7%
ValueCountFrequency (%)
389765.069424788 2
1.3%
407057.69453434 1
0.6%
409470.715740083 1
0.6%
409679.289433125 1
0.6%
411878.01945484 1
0.6%
413068.620386444 2
1.3%
417061.772670575 1
0.6%
418645.002858871 1
0.6%
418843.806151861 2
1.3%
420004.557988927 1
0.6%
ValueCountFrequency (%)
492770.07870741 1
0.6%
488869.770329054 1
0.6%
481716.568809511 1
0.6%
473228.174171054 1
0.6%
471874.249343231 1
0.6%
470480.804455514 1
0.6%
470318.600784268 1
0.6%
466573.387418861 1
0.6%
465280.401430687 1
0.6%
462814.123196617 1
0.6%

수리대상유형정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing155
Missing (%)100.0%
Memory size1.5 KiB

Interactions

2023-12-11T07:32:51.467267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.203760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.697526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.247826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.946317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:50.842522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.563441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.271262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.776367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.410615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:50.059700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:50.934149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.652812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.346665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.858063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.527477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:50.152996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.037202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.754023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.425789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.937812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.622140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:50.251750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.144413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.878205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.523850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.032651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.741257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:50.635765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.271530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.983294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:48.628023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.146382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:49.850017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:50.750457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:51.365119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:32:58.776246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값
시군명1.0000.0000.4480.9930.9310.9900.4150.9720.9220.9250.931
영업상태구분코드0.0001.0001.000NaN0.0000.219NaN0.2450.1930.1930.319
영업상태명0.4481.0001.0001.0000.0000.2190.2420.2060.1730.1930.319
폐업일자0.993NaN1.0001.0001.0000.9601.0000.9550.9690.9220.986
소재지시설전화번호0.9310.0000.0001.0001.0000.000NaN0.9380.9460.9450.949
도로명우편번호0.9900.2190.2190.9600.0001.000NaN0.8130.8610.8610.794
소재지우편번호0.415NaN0.2421.000NaNNaN1.0000.3360.000NaNNaN
WGS84위도0.9720.2450.2060.9550.9380.8130.3361.0000.4710.3740.927
WGS84경도0.9220.1930.1730.9690.9460.8610.0000.4711.0001.0000.261
X좌표값0.9250.1930.1930.9220.9450.861NaN0.3741.0001.0000.274
Y좌표값0.9310.3190.3190.9860.9490.794NaN0.9270.2610.2741.000
2023-12-11T07:32:58.907366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태명영업상태구분코드시군명
영업상태명1.0001.0000.181
영업상태구분코드1.0001.0000.000
시군명0.1810.0001.000
2023-12-11T07:32:58.986050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명우편번호소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값시군명영업상태구분코드영업상태명
도로명우편번호1.0001.000-0.912-0.160-0.140-0.9290.8520.0860.086
소재지우편번호1.0001.000-0.895-0.003-0.140-0.9290.3051.0000.173
WGS84위도-0.912-0.8951.000-0.0940.0441.0000.8010.1500.101
WGS84경도-0.160-0.003-0.0941.0000.9980.0500.6370.1060.088
X좌표값-0.140-0.1400.0440.9981.0000.0430.6110.0880.088
Y좌표값-0.929-0.9291.0000.0500.0431.0000.6760.1790.179
시군명0.8520.3050.8010.6370.6110.6761.0000.0000.181
영업상태구분코드0.0861.0000.1500.1060.0880.1790.0001.0001.000
영업상태명0.0860.1730.1010.0880.0880.1790.1811.0001.000

Missing values

2023-12-11T07:32:52.142439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:32:52.406641image/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.
2023-12-11T07:32:52.598741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값수리대상유형정보다른 겸업 여부
0고양시(주)화이니스2019-07-15<NA>13영업중<NA>031-908-6055<NA>10257경기도 고양시 일산동구 문봉길 55, 2층 일부호 (문봉동)경기도 고양시 일산동구 문봉동 224-131025737.704843126.817108<NA>178531.573998465280.401431<NA><NA>
1고양시(주)닛신2023-04-25<NA>13영업중<NA>031-790-0595<NA>10575경기도 고양시 덕양구 삼막3길 5, 삼송 한강듀클래스 지층 142호 (오금동)경기도 고양시 덕양구 오금동 686 고양삼송 한강듀클래스1057537.66766126.920755<NA>192937.582063462814.123197<NA><NA>
2고양시주식회사 에스에이치이앤티2023-04-27<NA>13영업중<NA>02-3141-6605<NA>10552경기도 고양시 덕양구 서오릉로716번길 98-15, 1층 일부호 (원흥동)경기도 고양시 덕양구 원흥동 3841055237.64183126.868578<NA>188341.457637459932.774629<NA><NA>
3고양시현민전자(필립스일산서비스센터)2020-11-30<NA>13영업중<NA>031-904-9076<NA>10449경기도 고양시 일산동구 일산로 46, 남정씨티프라자 402-2호 (백석동)경기도 고양시 일산동구 백석동 1308 남정씨티프라자1044937.642344126.787904<NA>181211.326616460020.548662<NA><NA>
4고양시(주)조아2015-11-17<NA>15전출<NA>031-945-2611<NA>10258경기도 고양시 일산동구 성현로377번길 140 (문봉동)경기도 고양시 일산동구 문봉동 26번지 20호1025837.701168126.833102<NA>185206.995154466573.387419<NA><NA>
5고양시조이엠지2005-06-01<NA>3폐업2023-12-0502-3158-1758<NA><NA><NA>경기도 고양시 덕양구 향동동 2341054637.596142126.89531<NA><NA><NA><NA><NA>
6고양시장애인복지협회20170426<NA><NA>폐업 등20180314<NA><NA><NA>경기도 고양시 덕양구 화중로 126, 507호 (화정동)경기도 고양시 덕양구 화정동 902번지 5호 507호1047737.638248126.831897<NA><NA><NA><NA><NA>
7고양시지에스메디텍20120917<NA><NA>폐업 등20130124<NA><NA><NA>경기도 고양시 일산서구 고양대로 618, 209호 (일산동,풍원리빙프라자)경기도 고양시 일산서구 일산동 957-3번지 풍원리빙프라자 209호1035237.686044126.765007<NA><NA><NA><NA><NA>
8고양시지에스메디텍20130131<NA><NA>폐업 등20130815<NA><NA><NA>경기도 고양시 일산서구 고양대로 618, 일산동 (일산동,풍원리빙프라자209호)경기도 고양시 일산서구 일산동 957번지 3호 풍원리빙프라자 209호 일산동1035237.686044126.765007<NA><NA><NA><NA><NA>
9고양시장애인복지협회의료기20120917<NA><NA>폐업 등20170508<NA><NA><NA>경기도 고양시 덕양구 화중로 126, 507호 (화정동,찬우물상가)경기도 고양시 덕양구 화정동 902-5번지 찬우물상가 507호1047737.638248126.831897<NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값수리대상유형정보다른 겸업 여부
145화성시레이저서비스메디컬2023-06-21<NA>13영업중<NA><NA><NA>18471경기도 화성시 동탄순환대로 823, 에이팩시티 1층 154호 (영천동)경기도 화성시 영천동 652-4 에이팩시티1847137.208715127.097723<NA>208603.217648411878.019455<NA><NA>
146화성시(주)위니아에이드 화성센터2021-07-06<NA>13영업중<NA>070-8850-2362<NA>18313경기도 화성시 봉담읍 삼천병마로 1267, 3층경기도 화성시 봉담읍 상리 31-81831337.219504126.947678<NA>195283.690314413068.620386<NA><NA>
147화성시위니아서비스 화성점2021-07-06<NA>3폐업2023-10-27<NA><NA>18313경기도 화성시 봉담읍 삼천병마로 1267, 3층경기도 화성시 봉담읍 상리 31-81831337.219504126.947678<NA>195283.690314413068.620386<NA><NA>
148화성시구암메디시스템2012-06-29<NA>3폐업2023-10-1702-2060-7080<NA>18467경기도 화성시 동탄대로 636-1, 센테라IT타워2 505호 (영천동)경기도 화성시 영천동 01846737.210777127.099538<NA><NA><NA><NA><NA>
149화성시알퐁소20140515<NA><NA>폐업 등<NA><NA><NA><NA>경기도 화성시 봉담읍 동화길 93-12, 107호 (파크프라자)경기도 화성시 봉담읍 동화리 600번지 3호 파크프라자 107호44589337.216793126.959747<NA><NA><NA><NA><NA>
150화성시미래안20050908<NA><NA>폐업 등20151231<NA><NA><NA>경기도 화성시 황계길11번길 6 (황계동)경기도 화성시 황계동 120번지 4호1834737.218846127.017801<NA><NA><NA><NA><NA>
151화성시한길텍20050523<NA><NA>폐업 등20111209<NA><NA><NA>경기도 화성시 팔탄면 밤뒤길39번길 13경기도 화성시 팔탄면 율암리 136번지1852437.169784126.880457<NA><NA><NA><NA><NA>
152화성시(주)바텍20061121<NA><NA>폐업 등20110415<NA><NA><NA>경기도 화성시 삼성1로2길 13경기도 화성시 석우동 23-444517037.22094127.074879<NA><NA><NA><NA><NA>
153화성시㈜바텍20061121<NA><NA>폐업 등20110415<NA><NA><NA>경기도 화성시 삼성1로2길 13경기도 화성시 석우동 23-4번지44517037.22094127.074879<NA><NA><NA><NA><NA>
154화성시위라이프20130923<NA><NA>폐업 등20141118<NA><NA><NA>경기도 화성시 태안로 46, 102호 (병점동)경기도 화성시 병점동 506번지 102호1841837.198082127.041608<NA><NA><NA><NA><NA>