Overview

Dataset statistics

Number of variables28
Number of observations3298
Missing cells26338
Missing cells (%)28.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory779.5 KiB
Average record size in memory242.0 B

Variable types

Categorical4
Text7
Unsupported3
DateTime1
Numeric13

Alerts

영업상태구분코드 is highly imbalanced (78.1%)Imbalance
영업상태명 is highly imbalanced (52.0%)Imbalance
가열기수 is highly imbalanced (81.2%)Imbalance
인허가취소일자 has 3298 (100.0%) missing valuesMissing
폐업일자 has 2376 (72.0%) missing valuesMissing
소재지시설전화번호 has 3119 (94.6%) missing valuesMissing
소재지면적정보 has 3298 (100.0%) missing valuesMissing
도로명우편번호 has 3067 (93.0%) missing valuesMissing
소재지도로명주소 has 75 (2.3%) missing valuesMissing
WGS84위도 has 70 (2.1%) missing valuesMissing
WGS84경도 has 70 (2.1%) missing valuesMissing
업태구분명정보 has 3298 (100.0%) missing valuesMissing
X좌표값 has 3072 (93.1%) missing valuesMissing
Y좌표값 has 3072 (93.1%) missing valuesMissing
조제용연마기수(대) has 39 (1.2%) missing valuesMissing
렌즈절단기수(대) has 40 (1.2%) missing valuesMissing
연면적(㎡) has 1288 (39.1%) missing valuesMissing
표본렌즈수(개) is highly skewed (γ1 = 55.70336791)Skewed
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
시력표수(대) has 543 (16.5%) zerosZeros
표본렌즈수(개) has 641 (19.4%) zerosZeros
측정의자수(개) has 646 (19.6%) zerosZeros
동공거리측정기수(대) has 547 (16.6%) zerosZeros
정점굴절계기수(대) has 546 (16.6%) zerosZeros
조제용연마기수(대) has 651 (19.7%) zerosZeros
렌즈절단기수(대) has 653 (19.8%) zerosZeros
안경세척기수(대) has 648 (19.6%) zerosZeros
연면적(㎡) has 74 (2.2%) zerosZeros

Reproduction

Analysis started2023-12-10 21:50:09.742387
Analysis finished2023-12-10 21:50:10.946246
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size25.9 KiB
수원시
367 
고양시
339 
성남시
323 
용인시
239 
부천시
227 
Other values (27)
1803 

Length

Max length4
Median length3
Mean length3.086416
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 367
 
11.1%
고양시 339
 
10.3%
성남시 323
 
9.8%
용인시 239
 
7.2%
부천시 227
 
6.9%
안산시 182
 
5.5%
안양시 175
 
5.3%
화성시 155
 
4.7%
의정부시 143
 
4.3%
평택시 127
 
3.9%
Other values (22) 1021
31.0%

Length

2023-12-11T06:50:11.012286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 367
 
11.1%
고양시 339
 
10.3%
성남시 323
 
9.8%
용인시 239
 
7.2%
부천시 227
 
6.9%
안산시 182
 
5.5%
안양시 175
 
5.3%
화성시 155
 
4.7%
의정부시 143
 
4.3%
평택시 127
 
3.9%
Other values (22) 1021
31.0%

사업장명
Text

Distinct2417
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size25.9 KiB
2023-12-11T06:50:11.310526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length7.0718617
Min length2

Characters and Unicode

Total characters23323
Distinct characters575
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2033 ?
Unique (%)61.6%

Sample

1st row안경기업 가평점
2nd row세컨페이스 가평점
3rd row물끄러미 안경원
4th row안경닥터
5th row파리안경원
ValueCountFrequency (%)
안경원 84
 
2.1%
안경 80
 
2.0%
안경박사 49
 
1.2%
글라스스토리 38
 
0.9%
안경마을 37
 
0.9%
렌즈미 31
 
0.8%
다비치안경 31
 
0.8%
오렌즈 30
 
0.7%
안경매니져 24
 
0.6%
안경나라 19
 
0.5%
Other values (2433) 3630
89.6%
2023-12-11T06:50:11.744585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 2864
 
12.3%
경 2799
 
12.0%
원 945
 
4.1%
점 790
 
3.4%
755
 
3.2%
스 695
 
3.0%
이 638
 
2.7%
아 560
 
2.4%
트 483
 
2.1%
리 363
 
1.6%
Other values (565) 12431
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21031
90.2%
Space Separator 755
 
3.2%
Uppercase Letter 493
 
2.1%
Decimal Number 432
 
1.9%
Open Punctuation 202
 
0.9%
Close Punctuation 201
 
0.9%
Lowercase Letter 138
 
0.6%
Other Punctuation 60
 
0.3%
Dash Punctuation 7
 
< 0.1%
Modifier Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 2864
 
13.6%
경 2799
 
13.3%
원 945
 
4.5%
점 790
 
3.8%
스 695
 
3.3%
이 638
 
3.0%
아 560
 
2.7%
트 483
 
2.3%
리 363
 
1.7%
라 345
 
1.6%
Other values (494) 10549
50.2%
Uppercase Letter
ValueCountFrequency (%)
E 72
14.6%
O 51
 
10.3%
A 42
 
8.5%
L 33
 
6.7%
S 32
 
6.5%
K 32
 
6.5%
Y 30
 
6.1%
C 26
 
5.3%
T 22
 
4.5%
D 19
 
3.9%
Other values (16) 134
27.2%
Lowercase Letter
ValueCountFrequency (%)
e 34
24.6%
o 17
12.3%
y 16
11.6%
a 11
 
8.0%
s 10
 
7.2%
n 9
 
6.5%
i 7
 
5.1%
l 7
 
5.1%
r 7
 
5.1%
g 4
 
2.9%
Other values (9) 16
11.6%
Decimal Number
ValueCountFrequency (%)
0 171
39.6%
1 148
34.3%
5 38
 
8.8%
2 28
 
6.5%
3 23
 
5.3%
6 8
 
1.9%
8 6
 
1.4%
7 6
 
1.4%
9 3
 
0.7%
4 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 32
53.3%
& 13
21.7%
· 6
 
10.0%
, 6
 
10.0%
# 1
 
1.7%
: 1
 
1.7%
' 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 201
99.5%
[ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 200
99.5%
] 1
 
0.5%
Space Separator
ValueCountFrequency (%)
755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21029
90.2%
Common 1660
 
7.1%
Latin 631
 
2.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 2864
 
13.6%
경 2799
 
13.3%
원 945
 
4.5%
점 790
 
3.8%
스 695
 
3.3%
이 638
 
3.0%
아 560
 
2.7%
트 483
 
2.3%
리 363
 
1.7%
라 345
 
1.6%
Other values (492) 10547
50.2%
Latin
ValueCountFrequency (%)
E 72
 
11.4%
O 51
 
8.1%
A 42
 
6.7%
e 34
 
5.4%
L 33
 
5.2%
S 32
 
5.1%
K 32
 
5.1%
Y 30
 
4.8%
C 26
 
4.1%
T 22
 
3.5%
Other values (35) 257
40.7%
Common
ValueCountFrequency (%)
755
45.5%
( 201
 
12.1%
) 200
 
12.0%
0 171
 
10.3%
1 148
 
8.9%
5 38
 
2.3%
. 32
 
1.9%
2 28
 
1.7%
3 23
 
1.4%
& 13
 
0.8%
Other values (15) 51
 
3.1%
Han
ValueCountFrequency (%)
利 1
33.3%
安 1
33.3%
家 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21024
90.1%
ASCII 2285
 
9.8%
None 7
 
< 0.1%
Compat Jamo 4
 
< 0.1%
CJK 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 2864
 
13.6%
경 2799
 
13.3%
원 945
 
4.5%
점 790
 
3.8%
스 695
 
3.3%
이 638
 
3.0%
아 560
 
2.7%
트 483
 
2.3%
리 363
 
1.7%
라 345
 
1.6%
Other values (490) 10542
50.1%
ASCII
ValueCountFrequency (%)
755
33.0%
( 201
 
8.8%
) 200
 
8.8%
0 171
 
7.5%
1 148
 
6.5%
E 72
 
3.2%
O 51
 
2.2%
A 42
 
1.8%
5 38
 
1.7%
e 34
 
1.5%
Other values (59) 573
25.1%
None
ValueCountFrequency (%)
· 6
85.7%
㈜ 1
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
利 1
100.0%
CJK
ValueCountFrequency (%)
安 1
50.0%
家 1
50.0%

인허가일자
Text

Distinct2571
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size25.9 KiB
2023-12-11T06:50:12.035620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1449363
Min length8

Characters and Unicode

Total characters26862
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

Unique1991 ?
Unique (%)60.4%

Sample

1st row2019-07-09
2nd row2023-11-14
3rd row20091224
4th row20150105
5th row20040519
ValueCountFrequency (%)
20010726 5
 
0.2%
19910708 5
 
0.2%
20150812 5
 
0.2%
20170327 5
 
0.2%
20030826 5
 
0.2%
19910704 5
 
0.2%
20171012 4
 
0.1%
20160125 4
 
0.1%
20140715 4
 
0.1%
20141124 4
 
0.1%
Other values (2561) 3252
98.6%
2023-12-11T06:50:12.436241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8181
30.5%
1 5069
18.9%
2 4999
18.6%
9 1952
 
7.3%
3 1192
 
4.4%
6 1041
 
3.9%
7 1036
 
3.9%
5 988
 
3.7%
8 987
 
3.7%
4 939
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26384
98.2%
Dash Punctuation 478
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8181
31.0%
1 5069
19.2%
2 4999
18.9%
9 1952
 
7.4%
3 1192
 
4.5%
6 1041
 
3.9%
7 1036
 
3.9%
5 988
 
3.7%
8 987
 
3.7%
4 939
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 478
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8181
30.5%
1 5069
18.9%
2 4999
18.6%
9 1952
 
7.3%
3 1192
 
4.4%
6 1041
 
3.9%
7 1036
 
3.9%
5 988
 
3.7%
8 987
 
3.7%
4 939
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8181
30.5%
1 5069
18.9%
2 4999
18.6%
9 1952
 
7.3%
3 1192
 
4.4%
6 1041
 
3.9%
7 1036
 
3.9%
5 988
 
3.7%
8 987
 
3.7%
4 939
 
3.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3298
Missing (%)100.0%
Memory size29.1 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.9 KiB
<NA>
3059 
13
 
190
3
 
41
24
 
8

Length

Max length4
Median length4
Mean length3.8426319
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3059
92.8%
13 190
 
5.8%
3 41
 
1.2%
24 8
 
0.2%

Length

2023-12-11T06:50:12.555562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:12.641124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3059
92.8%
13 190
 
5.8%
3 41
 
1.2%
24 8
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.9 KiB
운영중
2202 
폐업 등
854 
영업중
 
190
폐업
 
41
직권폐업
 
8

Length

Max length4
Median length3
Mean length3.2498484
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 2202
66.8%
폐업 등 854
 
25.9%
영업중 190
 
5.8%
폐업 41
 
1.2%
직권폐업 8
 
0.2%
휴업 등 3
 
0.1%

Length

2023-12-11T06:50:12.743238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:12.837613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2202
53.0%
폐업 895
21.5%
등 857
 
20.6%
영업중 190
 
4.6%
직권폐업 8
 
0.2%
휴업 3
 
0.1%

폐업일자
Date

MISSING 

Distinct788
Distinct (%)85.5%
Missing2376
Missing (%)72.0%
Memory size25.9 KiB
Minimum1994-01-03 00:00:00
Maximum2023-11-30 00:00:00
2023-12-11T06:50:12.937486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:13.042381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct176
Distinct (%)98.3%
Missing3119
Missing (%)94.6%
Memory size25.9 KiB
2023-12-11T06:50:13.271491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.614525
Min length7

Characters and Unicode

Total characters2079
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

Unique173 ?
Unique (%)96.6%

Sample

1st row031-585-3007
2nd row031-925-1514
3rd row031-901-1289
4th row908-7786
5th row02-381-4002
ValueCountFrequency (%)
242-0881 2
 
1.1%
031-466-2528 2
 
1.1%
031-398-0102 2
 
1.1%
0312970188 1
 
0.6%
0507-1398-5060 1
 
0.6%
638-1009 1
 
0.6%
031-355-1233 1
 
0.6%
031-372-1001 1
 
0.6%
031-466-8500 1
 
0.6%
501-3455 1
 
0.6%
Other values (166) 166
92.7%
2023-12-11T06:50:13.598115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 341
16.4%
- 327
15.7%
3 268
12.9%
1 267
12.8%
2 166
8.0%
8 132
 
6.3%
7 125
 
6.0%
5 117
 
5.6%
6 115
 
5.5%
9 114
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1752
84.3%
Dash Punctuation 327
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 341
19.5%
3 268
15.3%
1 267
15.2%
2 166
9.5%
8 132
 
7.5%
7 125
 
7.1%
5 117
 
6.7%
6 115
 
6.6%
9 114
 
6.5%
4 107
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 327
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2079
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 341
16.4%
- 327
15.7%
3 268
12.9%
1 267
12.8%
2 166
8.0%
8 132
 
6.3%
7 125
 
6.0%
5 117
 
5.6%
6 115
 
5.5%
9 114
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 341
16.4%
- 327
15.7%
3 268
12.9%
1 267
12.8%
2 166
8.0%
8 132
 
6.3%
7 125
 
6.0%
5 117
 
5.6%
6 115
 
5.5%
9 114
 
5.5%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3298
Missing (%)100.0%
Memory size29.1 KiB

도로명우편번호
Text

MISSING 

Distinct205
Distinct (%)88.7%
Missing3067
Missing (%)93.0%
Memory size25.9 KiB
2023-12-11T06:50:13.862789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.008658
Min length5

Characters and Unicode

Total characters1157
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

Unique181 ?
Unique (%)78.4%

Sample

1st row12413
2nd row12438
3rd row10414
4th row10401
5th row10340
ValueCountFrequency (%)
10071 4
 
1.7%
14220 2
 
0.9%
11928 2
 
0.9%
10915 2
 
0.9%
15865 2
 
0.9%
15801 2
 
0.9%
10402 2
 
0.9%
12285 2
 
0.9%
13591 2
 
0.9%
14922 2
 
0.9%
Other values (195) 209
90.5%
2023-12-11T06:50:14.236769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 317
27.4%
0 123
 
10.6%
4 109
 
9.4%
2 101
 
8.7%
6 95
 
8.2%
5 94
 
8.1%
8 81
 
7.0%
3 81
 
7.0%
9 78
 
6.7%
7 77
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1156
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 317
27.4%
0 123
 
10.6%
4 109
 
9.4%
2 101
 
8.7%
6 95
 
8.2%
5 94
 
8.1%
8 81
 
7.0%
3 81
 
7.0%
9 78
 
6.7%
7 77
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1157
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 317
27.4%
0 123
 
10.6%
4 109
 
9.4%
2 101
 
8.7%
6 95
 
8.2%
5 94
 
8.1%
8 81
 
7.0%
3 81
 
7.0%
9 78
 
6.7%
7 77
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 317
27.4%
0 123
 
10.6%
4 109
 
9.4%
2 101
 
8.7%
6 95
 
8.2%
5 94
 
8.1%
8 81
 
7.0%
3 81
 
7.0%
9 78
 
6.7%
7 77
 
6.7%

소재지도로명주소
Text

MISSING 

Distinct3068
Distinct (%)95.2%
Missing75
Missing (%)2.3%
Memory size25.9 KiB
2023-12-11T06:50:14.514391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length54
Mean length30.795842
Min length13

Characters and Unicode

Total characters99255
Distinct characters545
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2927 ?
Unique (%)90.8%

Sample

1st row경기도 가평군 가평읍 보납로 11, 가평센트럴파크더스카이 상가동 104호
2nd row경기도 가평군 조종면 현창로 26, 청연빌딩 1층
3rd row경기도 가평군 조종면 현창로38번길 18
4th row경기도 가평군 조종면 현창로38번길 6-1 (돌오겹살TV)
5th row경기도 가평군 가평읍 오리나무길 21
ValueCountFrequency (%)
경기도 3223
 
15.3%
1층 545
 
2.6%
수원시 357
 
1.7%
고양시 323
 
1.5%
성남시 316
 
1.5%
용인시 226
 
1.1%
부천시 224
 
1.1%
분당구 195
 
0.9%
안산시 179
 
0.8%
안양시 167
 
0.8%
Other values (4130) 15320
72.7%
2023-12-11T06:50:14.967611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17864
 
18.0%
1 4597
 
4.6%
시 3393
 
3.4%
경 3379
 
3.4%
기 3371
 
3.4%
동 3364
 
3.4%
도 3343
 
3.4%
로 3195
 
3.2%
, 2845
 
2.9%
( 2838
 
2.9%
Other values (535) 51066
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56437
56.9%
Space Separator 17864
 
18.0%
Decimal Number 15674
 
15.8%
Other Punctuation 2881
 
2.9%
Open Punctuation 2838
 
2.9%
Close Punctuation 2838
 
2.9%
Dash Punctuation 397
 
0.4%
Uppercase Letter 251
 
0.3%
Math Symbol 49
 
< 0.1%
Lowercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3393
 
6.0%
경 3379
 
6.0%
기 3371
 
6.0%
동 3364
 
6.0%
도 3343
 
5.9%
로 3195
 
5.7%
구 1729
 
3.1%
호 1391
 
2.5%
양 1096
 
1.9%
안 894
 
1.6%
Other values (476) 31282
55.4%
Uppercase Letter
ValueCountFrequency (%)
B 51
20.3%
A 46
18.3%
C 18
 
7.2%
I 16
 
6.4%
S 14
 
5.6%
K 13
 
5.2%
M 13
 
5.2%
D 11
 
4.4%
R 10
 
4.0%
T 9
 
3.6%
Other values (14) 50
19.9%
Decimal Number
ValueCountFrequency (%)
1 4597
29.3%
2 2029
12.9%
0 1985
12.7%
3 1372
 
8.8%
4 1141
 
7.3%
5 1091
 
7.0%
6 951
 
6.1%
7 933
 
6.0%
9 812
 
5.2%
8 763
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 6
30.0%
b 3
15.0%
s 3
15.0%
a 2
 
10.0%
v 2
 
10.0%
t 1
 
5.0%
w 1
 
5.0%
g 1
 
5.0%
c 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 2845
98.8%
. 27
 
0.9%
@ 3
 
0.1%
& 2
 
0.1%
/ 2
 
0.1%
· 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 43
87.8%
∼ 5
 
10.2%
+ 1
 
2.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 1
 
16.7%
Ⅰ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
17864
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2838
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2838
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 397
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56436
56.9%
Common 42541
42.9%
Latin 277
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3393
 
6.0%
경 3379
 
6.0%
기 3371
 
6.0%
동 3364
 
6.0%
도 3343
 
5.9%
로 3195
 
5.7%
구 1729
 
3.1%
호 1391
 
2.5%
양 1096
 
1.9%
안 894
 
1.6%
Other values (475) 31281
55.4%
Latin
ValueCountFrequency (%)
B 51
18.4%
A 46
16.6%
C 18
 
6.5%
I 16
 
5.8%
S 14
 
5.1%
K 13
 
4.7%
M 13
 
4.7%
D 11
 
4.0%
R 10
 
3.6%
T 9
 
3.2%
Other values (26) 76
27.4%
Common
ValueCountFrequency (%)
17864
42.0%
1 4597
 
10.8%
, 2845
 
6.7%
( 2838
 
6.7%
) 2838
 
6.7%
2 2029
 
4.8%
0 1985
 
4.7%
3 1372
 
3.2%
4 1141
 
2.7%
5 1091
 
2.6%
Other values (13) 3941
 
9.3%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56436
56.9%
ASCII 42805
43.1%
Number Forms 6
 
< 0.1%
Math Operators 5
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17864
41.7%
1 4597
 
10.7%
, 2845
 
6.6%
( 2838
 
6.6%
) 2838
 
6.6%
2 2029
 
4.7%
0 1985
 
4.6%
3 1372
 
3.2%
4 1141
 
2.7%
5 1091
 
2.5%
Other values (44) 4205
 
9.8%
Hangul
ValueCountFrequency (%)
시 3393
 
6.0%
경 3379
 
6.0%
기 3371
 
6.0%
동 3364
 
6.0%
도 3343
 
5.9%
로 3195
 
5.7%
구 1729
 
3.1%
호 1391
 
2.5%
양 1096
 
1.9%
안 894
 
1.6%
Other values (475) 31281
55.4%
Math Operators
ValueCountFrequency (%)
∼ 5
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅲ 1
 
16.7%
Ⅰ 1
 
16.7%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지지번주소
Text

Distinct3149
Distinct (%)95.5%
Missing2
Missing (%)0.1%
Memory size25.9 KiB
2023-12-11T06:50:15.205625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length50
Mean length27.300667
Min length3

Characters and Unicode

Total characters89983
Distinct characters519
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3014 ?
Unique (%)91.4%

Sample

1st row경기도 가평군 가평읍 읍내리 457-5
2nd row경기도 가평군 조종면 현리 410-44
3rd row경기도 가평군 조종면 현리 262번지 5호
4th row경기도 가평군 조종면 현리 265번지 5호
5th row경기도 가평군 가평읍 대곡리 239-4
ValueCountFrequency (%)
경기도 3205
 
16.2%
1층 386
 
1.9%
수원시 364
 
1.8%
1호 337
 
1.7%
성남시 290
 
1.5%
용인시 246
 
1.2%
고양시 233
 
1.2%
부천시 226
 
1.1%
2호 206
 
1.0%
분당구 194
 
1.0%
Other values (4317) 14141
71.3%
2023-12-11T06:50:15.568820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16665
 
18.5%
1 5091
 
5.7%
시 3393
 
3.8%
동 3390
 
3.8%
기 3359
 
3.7%
도 3306
 
3.7%
경 3258
 
3.6%
지 3063
 
3.4%
호 2796
 
3.1%
번 2675
 
3.0%
Other values (509) 42987
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52987
58.9%
Decimal Number 18637
 
20.7%
Space Separator 16665
 
18.5%
Dash Punctuation 853
 
0.9%
Other Punctuation 395
 
0.4%
Uppercase Letter 249
 
0.3%
Open Punctuation 63
 
0.1%
Close Punctuation 63
 
0.1%
Math Symbol 48
 
0.1%
Lowercase Letter 16
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3393
 
6.4%
동 3390
 
6.4%
기 3359
 
6.3%
도 3306
 
6.2%
경 3258
 
6.1%
지 3063
 
5.8%
호 2796
 
5.3%
번 2675
 
5.0%
구 1762
 
3.3%
양 1068
 
2.0%
Other values (446) 24917
47.0%
Uppercase Letter
ValueCountFrequency (%)
B 48
19.3%
A 45
18.1%
C 19
 
7.6%
S 16
 
6.4%
K 15
 
6.0%
M 14
 
5.6%
D 12
 
4.8%
I 12
 
4.8%
G 10
 
4.0%
L 10
 
4.0%
Other values (14) 48
19.3%
Decimal Number
ValueCountFrequency (%)
1 5091
27.3%
2 2125
11.4%
0 1940
 
10.4%
3 1756
 
9.4%
4 1498
 
8.0%
5 1433
 
7.7%
6 1361
 
7.3%
7 1266
 
6.8%
8 1119
 
6.0%
9 1048
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
c 3
18.8%
b 2
12.5%
t 1
 
6.2%
s 1
 
6.2%
w 1
 
6.2%
v 1
 
6.2%
g 1
 
6.2%
l 1
 
6.2%
a 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 317
80.3%
. 66
 
16.7%
@ 5
 
1.3%
/ 3
 
0.8%
· 2
 
0.5%
& 1
 
0.3%
? 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 1
 
16.7%
Ⅲ 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 62
98.4%
[ 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 62
98.4%
] 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
~ 46
95.8%
∼ 2
 
4.2%
Space Separator
ValueCountFrequency (%)
16665
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 853
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52986
58.9%
Common 36725
40.8%
Latin 271
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3393
 
6.4%
동 3390
 
6.4%
기 3359
 
6.3%
도 3306
 
6.2%
경 3258
 
6.1%
지 3063
 
5.8%
호 2796
 
5.3%
번 2675
 
5.0%
구 1762
 
3.3%
양 1068
 
2.0%
Other values (445) 24916
47.0%
Latin
ValueCountFrequency (%)
B 48
17.7%
A 45
16.6%
C 19
 
7.0%
S 16
 
5.9%
K 15
 
5.5%
M 14
 
5.2%
D 12
 
4.4%
I 12
 
4.4%
G 10
 
3.7%
L 10
 
3.7%
Other values (27) 70
25.8%
Common
ValueCountFrequency (%)
16665
45.4%
1 5091
 
13.9%
2 2125
 
5.8%
0 1940
 
5.3%
3 1756
 
4.8%
4 1498
 
4.1%
5 1433
 
3.9%
6 1361
 
3.7%
7 1266
 
3.4%
8 1119
 
3.0%
Other values (16) 2471
 
6.7%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52985
58.9%
ASCII 36986
41.1%
Number Forms 6
 
< 0.1%
Math Operators 2
 
< 0.1%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16665
45.1%
1 5091
 
13.8%
2 2125
 
5.7%
0 1940
 
5.2%
3 1756
 
4.7%
4 1498
 
4.1%
5 1433
 
3.9%
6 1361
 
3.7%
7 1266
 
3.4%
8 1119
 
3.0%
Other values (48) 2732
 
7.4%
Hangul
ValueCountFrequency (%)
시 3393
 
6.4%
동 3390
 
6.4%
기 3359
 
6.3%
도 3306
 
6.2%
경 3258
 
6.1%
지 3063
 
5.8%
호 2796
 
5.3%
번 2675
 
5.0%
구 1762
 
3.3%
양 1068
 
2.0%
Other values (444) 24915
47.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
66.7%
Ⅰ 1
 
16.7%
Ⅲ 1
 
16.7%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

소재지우편번호
Text

Distinct1640
Distinct (%)50.0%
Missing16
Missing (%)0.5%
Memory size25.9 KiB
2023-12-11T06:50:15.895939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6535649
Min length5

Characters and Unicode

Total characters18555
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

Unique983 ?
Unique (%)30.0%

Sample

1st row12413
2nd row12438
3rd row12437
4th row12437
5th row12420
ValueCountFrequency (%)
412220 21
 
0.6%
463824 19
 
0.6%
435040 19
 
0.6%
412020 19
 
0.6%
445160 16
 
0.5%
442081 13
 
0.4%
426815 13
 
0.4%
412270 12
 
0.4%
445360 12
 
0.4%
412010 12
 
0.4%
Other values (1630) 3126
95.2%
2023-12-11T06:50:16.595544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 3624
19.5%
1 3026
16.3%
0 2257
12.2%
8 1940
10.5%
2 1784
9.6%
3 1629
8.8%
6 1236
 
6.7%
5 1220
 
6.6%
7 1058
 
5.7%
9 727
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18501
99.7%
Dash Punctuation 54
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3624
19.6%
1 3026
16.4%
0 2257
12.2%
8 1940
10.5%
2 1784
9.6%
3 1629
8.8%
6 1236
 
6.7%
5 1220
 
6.6%
7 1058
 
5.7%
9 727
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18555
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 3624
19.5%
1 3026
16.3%
0 2257
12.2%
8 1940
10.5%
2 1784
9.6%
3 1629
8.8%
6 1236
 
6.7%
5 1220
 
6.6%
7 1058
 
5.7%
9 727
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18555
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 3624
19.5%
1 3026
16.3%
0 2257
12.2%
8 1940
10.5%
2 1784
9.6%
3 1629
8.8%
6 1236
 
6.7%
5 1220
 
6.6%
7 1058
 
5.7%
9 727
 
3.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct2700
Distinct (%)83.6%
Missing70
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean37.432952
Minimum36.959268
Maximum38.10075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:16.730919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959268
5-th percentile37.115934
Q137.290917
median37.396732
Q337.617673
95-th percentile37.75209
Maximum38.10075
Range1.1414819
Interquartile range (IQR)0.32675597

Descriptive statistics

Standard deviation0.20391816
Coefficient of variation (CV)0.0054475574
Kurtosis-0.31546765
Mean37.432952
Median Absolute Deviation (MAD)0.12274492
Skewness0.2150798
Sum120833.57
Variance0.041582614
MonotonicityNot monotonic
2023-12-11T06:50:16.871073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6470962619 7
 
0.2%
37.4130939326 7
 
0.2%
37.545418129 6
 
0.2%
37.3830147472 6
 
0.2%
37.5043171668 6
 
0.2%
37.738475042 5
 
0.2%
37.3851007981 5
 
0.2%
37.3021849083 5
 
0.2%
37.6679786706 5
 
0.2%
36.9919006082 5
 
0.2%
Other values (2690) 3171
96.1%
(Missing) 70
 
2.1%
ValueCountFrequency (%)
36.9592683563 1
< 0.1%
36.9598921903 1
< 0.1%
36.9643603285 1
< 0.1%
36.9647658172 1
< 0.1%
36.9787555958 1
< 0.1%
36.9793681598 1
< 0.1%
36.9847435668 1
< 0.1%
36.9847687481 1
< 0.1%
36.9847780936 1
< 0.1%
36.9848037498 1
< 0.1%
ValueCountFrequency (%)
38.1007502296 1
< 0.1%
38.1003715395 1
< 0.1%
38.0911967988 1
< 0.1%
38.0911510282 1
< 0.1%
38.0275177343 1
< 0.1%
38.0273696814 1
< 0.1%
38.0265338548 1
< 0.1%
38.0260829317 1
< 0.1%
38.0258852403 1
< 0.1%
38.0256872558 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct2700
Distinct (%)83.6%
Missing70
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean126.99766
Minimum126.58363
Maximum127.65863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:17.034549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58363
5-th percentile126.75229
Q1126.83614
median127.02116
Q3127.11382
95-th percentile127.26886
Maximum127.65863
Range1.0749974
Interquartile range (IQR)0.27767746

Descriptive statistics

Standard deviation0.18333336
Coefficient of variation (CV)0.0014435963
Kurtosis0.80079981
Mean126.99766
Median Absolute Deviation (MAD)0.12009193
Skewness0.59578292
Sum409948.46
Variance0.033611121
MonotonicityNot monotonic
2023-12-11T06:50:17.179473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8948092677 7
 
0.2%
127.1272456048 7
 
0.2%
127.2237611843 6
 
0.2%
127.1214981282 6
 
0.2%
126.7620745903 6
 
0.2%
127.0457983532 5
 
0.2%
127.1227076252 5
 
0.2%
126.8659335933 5
 
0.2%
126.7516242854 5
 
0.2%
127.0832927297 5
 
0.2%
Other values (2690) 3171
96.1%
(Missing) 70
 
2.1%
ValueCountFrequency (%)
126.5836300666 1
< 0.1%
126.5845736917 1
< 0.1%
126.5981167495 1
< 0.1%
126.5991171577 2
0.1%
126.5991838954 1
< 0.1%
126.5995406977 2
0.1%
126.6009121658 1
< 0.1%
126.6239322831 1
< 0.1%
126.6261155061 1
< 0.1%
126.6263036106 1
< 0.1%
ValueCountFrequency (%)
127.6586274853 1
 
< 0.1%
127.6459893506 3
0.1%
127.6402549712 1
 
< 0.1%
127.6372914558 1
 
< 0.1%
127.6371426827 1
 
< 0.1%
127.637075951 1
 
< 0.1%
127.63706457 1
 
< 0.1%
127.636962632 1
 
< 0.1%
127.6364099362 1
 
< 0.1%
127.6363318022 1
 
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3298
Missing (%)100.0%
Memory size29.1 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)97.8%
Missing3072
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean198784.34
Minimum164612.2
Maximum256295.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:17.304915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum164612.2
5-th percentile175589.63
Q1183206.01
median200007.36
Q3210190.85
95-th percentile226384.2
Maximum256295.54
Range91683.344
Interquartile range (IQR)26984.835

Descriptive statistics

Standard deviation17781.751
Coefficient of variation (CV)0.089452474
Kurtosis0.54150126
Mean198784.34
Median Absolute Deviation (MAD)13116.68
Skewness0.6227501
Sum44925262
Variance3.1619068 × 108
MonotonicityNot monotonic
2023-12-11T06:50:17.434064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
194236.401472029 2
 
0.1%
176020.267577341 2
 
0.1%
179005.665068939 2
 
0.1%
202973.410322233 2
 
0.1%
204219.521658448 2
 
0.1%
208043.505 1
 
< 0.1%
243413.756038384 1
 
< 0.1%
206537.227189736 1
 
< 0.1%
252112.266682697 1
 
< 0.1%
254263.945020146 1
 
< 0.1%
Other values (211) 211
 
6.4%
(Missing) 3072
93.1%
ValueCountFrequency (%)
164612.196395082 1
< 0.1%
166936.831918612 1
< 0.1%
166953.973441771 1
< 0.1%
167036.495747766 1
< 0.1%
167087.307183519 1
< 0.1%
171848.462636269 1
< 0.1%
171864.157644214 1
< 0.1%
173594.747225052 1
< 0.1%
175046.257497098 1
< 0.1%
175109.827854392 1
< 0.1%
ValueCountFrequency (%)
256295.540566504 1
< 0.1%
256084.564248022 1
< 0.1%
254263.945020146 1
< 0.1%
252112.266682697 1
< 0.1%
245013.115244781 1
< 0.1%
243413.756038384 1
< 0.1%
240592.718690691 1
< 0.1%
239182.905 1
< 0.1%
235461.813044175 1
< 0.1%
235226.523950004 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct221
Distinct (%)97.8%
Missing3072
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean436797.86
Minimum387591.85
Maximum483964.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:17.546592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387591.85
5-th percentile402216.06
Q1419916.6
median432315.38
Q3458392.92
95-th percentile471826.07
Maximum483964.28
Range96372.432
Interquartile range (IQR)38476.323

Descriptive statistics

Standard deviation22042.887
Coefficient of variation (CV)0.050464732
Kurtosis-0.70303729
Mean436797.86
Median Absolute Deviation (MAD)14016.438
Skewness0.08798669
Sum98716316
Variance4.8588886 × 108
MonotonicityNot monotonic
2023-12-11T06:50:17.679177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430039.545180134 2
 
0.1%
429797.394821987 2
 
0.1%
465786.029740427 2
 
0.1%
418262.114463247 2
 
0.1%
421105.173167299 2
 
0.1%
479832.631327799 1
 
< 0.1%
442981.064105961 1
 
< 0.1%
414050.233818451 1
 
< 0.1%
442661.100338554 1
 
< 0.1%
415664.62885435 1
 
< 0.1%
Other values (211) 211
 
6.4%
(Missing) 3072
93.1%
ValueCountFrequency (%)
387591.849109749 1
< 0.1%
387700.245776573 1
< 0.1%
387830.462917531 1
< 0.1%
388602.855869981 1
< 0.1%
389573.394736194 1
< 0.1%
390786.556944329 1
< 0.1%
394009.645031625 1
< 0.1%
395125.105121081 1
< 0.1%
397194.330920887 1
< 0.1%
397707.268 1
< 0.1%
ValueCountFrequency (%)
483964.281179073 1
< 0.1%
481096.792130088 1
< 0.1%
481015.495531353 1
< 0.1%
480871.138832141 1
< 0.1%
479832.631327799 1
< 0.1%
479678.928380629 1
< 0.1%
479459.470507812 1
< 0.1%
479347.079757941 1
< 0.1%
472188.74807539 1
< 0.1%
472135.31 1
< 0.1%

시력표수(대)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing14
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean0.89951279
Minimum0
Maximum5
Zeros543
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:17.792163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.49635872
Coefficient of variation (CV)0.55180841
Kurtosis5.9096333
Mean0.89951279
Median Absolute Deviation (MAD)0
Skewness0.57115939
Sum2954
Variance0.24637198
MonotonicityNot monotonic
2023-12-11T06:50:17.885524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2564
77.7%
0 543
 
16.5%
2 146
 
4.4%
3 28
 
0.8%
5 2
 
0.1%
4 1
 
< 0.1%
(Missing) 14
 
0.4%
ValueCountFrequency (%)
0 543
 
16.5%
1 2564
77.7%
2 146
 
4.4%
3 28
 
0.8%
4 1
 
< 0.1%
5 2
 
0.1%
ValueCountFrequency (%)
5 2
 
0.1%
4 1
 
< 0.1%
3 28
 
0.8%
2 146
 
4.4%
1 2564
77.7%
0 543
 
16.5%

표본렌즈수(개)
Real number (ℝ)

SKEWED  ZEROS 

Distinct14
Distinct (%)0.4%
Missing23
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean2.1273282
Minimum0
Maximum3000
Zeros641
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:17.968330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.89311
Coefficient of variation (CV)24.863634
Kurtosis3154.9159
Mean2.1273282
Median Absolute Deviation (MAD)0
Skewness55.703368
Sum6967
Variance2797.6811
MonotonicityNot monotonic
2023-12-11T06:50:18.067599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 2461
74.6%
0 641
 
19.4%
2 128
 
3.9%
3 28
 
0.8%
4 3
 
0.1%
100 3
 
0.1%
200 3
 
0.1%
5 2
 
0.1%
3000 1
 
< 0.1%
75 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 23
 
0.7%
ValueCountFrequency (%)
0 641
 
19.4%
1 2461
74.6%
2 128
 
3.9%
3 28
 
0.8%
4 3
 
0.1%
5 2
 
0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
30 1
 
< 0.1%
75 1
 
< 0.1%
ValueCountFrequency (%)
3000 1
 
< 0.1%
200 3
0.1%
120 1
 
< 0.1%
100 3
0.1%
75 1
 
< 0.1%
30 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
5 2
0.1%
4 3
0.1%

측정의자수(개)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing21
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean0.87641135
Minimum0
Maximum12
Zeros646
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:18.169374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.62188089
Coefficient of variation (CV)0.70957648
Kurtosis88.288057
Mean0.87641135
Median Absolute Deviation (MAD)0
Skewness5.4773652
Sum2872
Variance0.38673584
MonotonicityNot monotonic
2023-12-11T06:50:18.262773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2457
74.5%
0 646
 
19.6%
2 142
 
4.3%
3 25
 
0.8%
4 3
 
0.1%
11 2
 
0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
(Missing) 21
 
0.6%
ValueCountFrequency (%)
0 646
 
19.6%
1 2457
74.5%
2 142
 
4.3%
3 25
 
0.8%
4 3
 
0.1%
10 1
 
< 0.1%
11 2
 
0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 2
 
0.1%
10 1
 
< 0.1%
4 3
 
0.1%
3 25
 
0.8%
2 142
 
4.3%
1 2457
74.5%
0 646
 
19.6%

동공거리측정기수(대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing27
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean0.96178539
Minimum0
Maximum10
Zeros547
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:18.352852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.78756062
Coefficient of variation (CV)0.81885276
Kurtosis47.85376
Mean0.96178539
Median Absolute Deviation (MAD)0
Skewness5.1038891
Sum3146
Variance0.62025173
MonotonicityNot monotonic
2023-12-11T06:50:18.450999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2510
76.1%
0 547
 
16.6%
2 129
 
3.9%
3 40
 
1.2%
5 24
 
0.7%
4 10
 
0.3%
10 8
 
0.2%
6 3
 
0.1%
(Missing) 27
 
0.8%
ValueCountFrequency (%)
0 547
 
16.6%
1 2510
76.1%
2 129
 
3.9%
3 40
 
1.2%
4 10
 
0.3%
5 24
 
0.7%
6 3
 
0.1%
10 8
 
0.2%
ValueCountFrequency (%)
10 8
 
0.2%
6 3
 
0.1%
5 24
 
0.7%
4 10
 
0.3%
3 40
 
1.2%
2 129
 
3.9%
1 2510
76.1%
0 547
 
16.6%

정점굴절계기수(대)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)0.2%
Missing25
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean1.0406355
Minimum0
Maximum10
Zeros546
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:18.544353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.71902106
Coefficient of variation (CV)0.69094419
Kurtosis17.450227
Mean1.0406355
Median Absolute Deviation (MAD)0
Skewness2.1361235
Sum3406
Variance0.51699128
MonotonicityNot monotonic
2023-12-11T06:50:18.634375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 2194
66.5%
0 546
 
16.6%
2 429
 
13.0%
3 79
 
2.4%
4 19
 
0.6%
5 3
 
0.1%
10 2
 
0.1%
6 1
 
< 0.1%
(Missing) 25
 
0.8%
ValueCountFrequency (%)
0 546
 
16.6%
1 2194
66.5%
2 429
 
13.0%
3 79
 
2.4%
4 19
 
0.6%
5 3
 
0.1%
6 1
 
< 0.1%
10 2
 
0.1%
ValueCountFrequency (%)
10 2
 
0.1%
6 1
 
< 0.1%
5 3
 
0.1%
4 19
 
0.6%
3 79
 
2.4%
2 429
 
13.0%
1 2194
66.5%
0 546
 
16.6%

조제용연마기수(대)
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.2%
Missing39
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean0.8530224
Minimum0
Maximum11
Zeros651
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:18.725730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.539592
Coefficient of variation (CV)0.63256486
Kurtosis77.289201
Mean0.8530224
Median Absolute Deviation (MAD)0
Skewness3.9129082
Sum2780
Variance0.29115952
MonotonicityNot monotonic
2023-12-11T06:50:18.814131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2459
74.6%
0 651
 
19.7%
2 144
 
4.4%
3 2
 
0.1%
11 2
 
0.1%
5 1
 
< 0.1%
(Missing) 39
 
1.2%
ValueCountFrequency (%)
0 651
 
19.7%
1 2459
74.6%
2 144
 
4.4%
3 2
 
0.1%
5 1
 
< 0.1%
11 2
 
0.1%
ValueCountFrequency (%)
11 2
 
0.1%
5 1
 
< 0.1%
3 2
 
0.1%
2 144
 
4.4%
1 2459
74.6%
0 651
 
19.7%

렌즈절단기수(대)
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.2%
Missing40
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean0.82627379
Minimum0
Maximum11
Zeros653
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:18.949167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48295191
Coefficient of variation (CV)0.5844938
Kurtosis64.548259
Mean0.82627379
Median Absolute Deviation (MAD)0
Skewness2.6755262
Sum2692
Variance0.23324254
MonotonicityNot monotonic
2023-12-11T06:50:19.099251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2535
76.9%
0 653
 
19.8%
2 64
 
1.9%
3 4
 
0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
(Missing) 40
 
1.2%
ValueCountFrequency (%)
0 653
 
19.8%
1 2535
76.9%
2 64
 
1.9%
3 4
 
0.1%
6 1
 
< 0.1%
11 1
 
< 0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
6 1
 
< 0.1%
3 4
 
0.1%
2 64
 
1.9%
1 2535
76.9%
0 653
 
19.8%

가열기수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.9 KiB
<NA>
3059 
0
 
127
1
 
77
2
 
29
3
 
5

Length

Max length4
Median length4
Mean length3.7825955
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3059
92.8%
0 127
 
3.9%
1 77
 
2.3%
2 29
 
0.9%
3 5
 
0.2%
4 1
 
< 0.1%

Length

2023-12-11T06:50:19.224621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:19.327568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3059
92.8%
0 127
 
3.9%
1 77
 
2.3%
2 29
 
0.9%
3 5
 
0.2%
4 1
 
< 0.1%

안경세척기수(대)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)0.2%
Missing28
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean1.030581
Minimum0
Maximum6
Zeros648
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:19.417516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73102423
Coefficient of variation (CV)0.70933211
Kurtosis3.2259879
Mean1.030581
Median Absolute Deviation (MAD)0
Skewness1.0245721
Sum3370
Variance0.53439642
MonotonicityNot monotonic
2023-12-11T06:50:19.512080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 2010
60.9%
0 648
 
19.6%
2 508
 
15.4%
3 80
 
2.4%
4 17
 
0.5%
5 6
 
0.2%
6 1
 
< 0.1%
(Missing) 28
 
0.8%
ValueCountFrequency (%)
0 648
 
19.6%
1 2010
60.9%
2 508
 
15.4%
3 80
 
2.4%
4 17
 
0.5%
5 6
 
0.2%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 6
 
0.2%
4 17
 
0.5%
3 80
 
2.4%
2 508
 
15.4%
1 2010
60.9%
0 648
 
19.6%

연면적(㎡)
Real number (ℝ)

MISSING  ZEROS 

Distinct1401
Distinct (%)69.7%
Missing1288
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean70.772841
Minimum0
Maximum810.56
Zeros74
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size29.1 KiB
2023-12-11T06:50:19.633901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.602
Q134.37
median50
Q382.9875
95-th percentile203.523
Maximum810.56
Range810.56
Interquartile range (IQR)48.6175

Descriptive statistics

Standard deviation69.589506
Coefficient of variation (CV)0.98327982
Kurtosis21.107408
Mean70.772841
Median Absolute Deviation (MAD)21.175
Skewness3.5893315
Sum142253.41
Variance4842.6994
MonotonicityNot monotonic
2023-12-11T06:50:19.769364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 74
 
2.2%
33.0 22
 
0.7%
1.0 15
 
0.5%
66.0 14
 
0.4%
99.0 12
 
0.4%
40.0 11
 
0.3%
49.5 10
 
0.3%
23.0 8
 
0.2%
42.0 8
 
0.2%
24.0 8
 
0.2%
Other values (1391) 1828
55.4%
(Missing) 1288
39.1%
ValueCountFrequency (%)
0.0 74
2.2%
1.0 15
 
0.5%
4.4 1
 
< 0.1%
6.0 1
 
< 0.1%
6.07 1
 
< 0.1%
6.44 1
 
< 0.1%
7.9 1
 
< 0.1%
9.0 1
 
< 0.1%
10.01 1
 
< 0.1%
10.15 1
 
< 0.1%
ValueCountFrequency (%)
810.56 1
< 0.1%
785.46 1
< 0.1%
650.93 1
< 0.1%
579.27 1
< 0.1%
499.06 1
< 0.1%
482.62 1
< 0.1%
449.96 1
< 0.1%
425.5 1
< 0.1%
423.0 1
< 0.1%
413.99 1
< 0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값시력표수(대)표본렌즈수(개)측정의자수(개)동공거리측정기수(대)정점굴절계기수(대)조제용연마기수(대)렌즈절단기수(대)가열기수안경세척기수(대)연면적(㎡)
0가평군안경기업 가평점2019-07-09<NA>13영업중<NA><NA><NA>12413경기도 가평군 가평읍 보납로 11, 가평센트럴파크더스카이 상가동 104호경기도 가평군 가평읍 읍내리 457-51241337.831257127.512205<NA>245013.115245481096.7921311111111199.0
1가평군세컨페이스 가평점2023-11-14<NA>13영업중<NA>031-585-3007<NA>12438경기도 가평군 조종면 현창로 26, 청연빌딩 1층경기도 가평군 조종면 현리 410-441243837.817173127.349116<NA>230669.032173479459.470508100110000148.0
2가평군물끄러미 안경원20091224<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 현창로38번길 18경기도 가평군 조종면 현리 262번지 5호1243737.819652127.349361<NA><NA><NA>1111111<NA>136.0
3가평군안경닥터20150105<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 현창로38번길 6-1 (돌오겹살TV)경기도 가평군 조종면 현리 265번지 5호1243737.818687127.348863<NA><NA><NA>1111111<NA>173.68
4가평군파리안경원20040519<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 오리나무길 21경기도 가평군 가평읍 대곡리 239-41242037.825777127.514147<NA><NA><NA>0000000<NA>0<NA>
5가평군안경매니저20100906<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 101경기도 가평군 가평읍 읍내리 476번지 2호47780537.828715127.514057<NA><NA><NA>1111111<NA>146.31
6가평군안경나라20011218<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 설악면 신천중앙로 91경기도 가평군 설악면 신천리 408번지 27호 외 2필지47785337.676707127.493139<NA><NA><NA>1111111<NA>138.9
7가평군금성안경원19910628<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 청군로 1287경기도 가평군 조종면 현리 324번지 6호1243837.819143127.345874<NA><NA><NA>0000000<NA>0<NA>
8가평군1001안경원19970905<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 104-1경기도 가평군 가평읍 읍내리 350번지 1호47780537.829076127.514329<NA><NA><NA>0000000<NA>0<NA>
9가평군밝은세상안경원20030709<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 청평중앙로 41-1경기도 가평군 청평면 청평1리 465-121245237.7377127.419225<NA><NA><NA>0000000<NA>0<NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값시력표수(대)표본렌즈수(개)측정의자수(개)동공거리측정기수(대)정점굴절계기수(대)조제용연마기수(대)렌즈절단기수(대)가열기수안경세척기수(대)연면적(㎡)
3288화성시이태리안경원19910809<NA><NA>폐업 등20111230<NA><NA><NA><NA>경기도 화성시 향남읍 평리 16번지445939<NA><NA><NA><NA><NA>1111111<NA>1<NA>
3289화성시서독안경19930219<NA><NA>폐업 등20110404<NA><NA><NA>경기도 화성시 향남읍 3.1만세로 1108경기도 화성시 향남읍 평리 110번지 5호44593937.132411126.908491<NA><NA><NA>1111111<NA>1<NA>
3290화성시남대문안경마트20041021<NA><NA>폐업 등20170831<NA><NA><NA>경기도 화성시 병점3로 27 (병점동)경기도 화성시 병점동 348번지 1호44536037.208131127.036588<NA><NA><NA>1111111<NA>1<NA>
3291화성시열린안경20040303<NA><NA>폐업 등20060817<NA><NA><NA>경기도 화성시 영통로 59경기도 화성시 반월동 869번지 현대프라자 109호44533037.235125127.061902<NA><NA><NA>1111111<NA>1<NA>
3292화성시플러스안경20040223<NA><NA>폐업 등20120330<NA><NA><NA>경기도 화성시 봉담읍 와우안길 39경기도 화성시 봉담읍 와우리 69번지 4호44589737.215328126.976832<NA><NA><NA>1111111<NA>1<NA>
3293화성시시호비전화성점20090316<NA><NA>폐업 등20120420<NA><NA><NA>경기도 화성시 삼성1로 333, 1층 (반월동, 롯데마트)경기도 화성시 반월동 123번지 5호 롯데마트 1층44533037.230437127.066472<NA><NA><NA>1111111<NA>155.12
3294화성시빠세빠세안경클럽20060215<NA><NA>폐업 등20151127<NA><NA><NA>경기도 화성시 용주로 16, 1층 (안녕동)경기도 화성시 안녕동 19번지 1호 1층44538037.205485127.015024<NA><NA><NA>1111111<NA>1<NA>
3295화성시1001안경콘택트(진안점)20060418<NA><NA>폐업 등20130305<NA><NA><NA>경기도 화성시 효행로 1060, 101호 (병점동, 보이타운)경기도 화성시 병점동 844번지 3호 보이타운 101호44536037.21435127.043178<NA><NA><NA>1111111<NA>1<NA>
3296화성시아이패밀리안경원20100715<NA><NA>폐업 등20130930<NA><NA><NA>경기도 화성시 화산중앙로 1 (안녕동)경기도 화성시 안녕동 10-88번지44538037.204492127.014726<NA><NA><NA>1111111<NA>128.2
3297화성시렌즈맨동탄홈플러스점20101209<NA><NA>폐업 등20150831<NA><NA><NA>경기도 화성시 동탄중앙로 200 (반송동)경기도 화성시 반송동 98번지44516037.20289127.068906<NA><NA><NA>1111111<NA>138.15