Overview

Dataset statistics

Number of variables33
Number of observations9590
Missing cells133261
Missing cells (%)42.1%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory2.6 MiB
Average record size in memory283.0 B

Variable types

Categorical10
Text8
Unsupported4
DateTime1
Numeric9
Boolean1

Alerts

영업장주변구분명 has constant value ""Constant
등급구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
Dataset has 2 (< 0.1%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (65.1%)Imbalance
업태구분명정보 is highly imbalanced (53.1%)Imbalance
위생업태명 is highly imbalanced (95.2%)Imbalance
남성종사자수 is highly imbalanced (59.8%)Imbalance
여성종사자수 is highly imbalanced (59.8%)Imbalance
본사종업원수 is highly imbalanced (78.3%)Imbalance
공장사무직종업원수 is highly imbalanced (82.9%)Imbalance
공장판매직종업원수 is highly imbalanced (82.9%)Imbalance
인허가취소일자 has 9590 (100.0%) missing valuesMissing
폐업일자 has 4337 (45.2%) missing valuesMissing
소재지시설전화번호 has 9139 (95.3%) missing valuesMissing
소재지면적정보 has 8708 (90.8%) missing valuesMissing
도로명우편번호 has 8644 (90.1%) missing valuesMissing
소재지도로명주소 has 666 (6.9%) missing valuesMissing
WGS84위도 has 230 (2.4%) missing valuesMissing
WGS84경도 has 230 (2.4%) missing valuesMissing
X좌표값 has 8663 (90.3%) missing valuesMissing
Y좌표값 has 8663 (90.3%) missing valuesMissing
영업장주변구분명 has 9589 (> 99.9%) missing valuesMissing
등급구분명 has 9589 (> 99.9%) missing valuesMissing
공장생산직종업원수 has 8738 (91.1%) missing valuesMissing
보증금액 has 8817 (91.9%) missing valuesMissing
월세금액 has 8817 (91.9%) missing valuesMissing
시설총규모 has 9590 (100.0%) missing valuesMissing
전통업소지정번호 has 9590 (100.0%) missing valuesMissing
전통업소음식 has 9590 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장생산직종업원수 has 831 (8.7%) zerosZeros
보증금액 has 767 (8.0%) zerosZeros
월세금액 has 767 (8.0%) zerosZeros

Reproduction

Analysis started2023-12-10 21:58:09.517438
Analysis finished2023-12-10 21:58:11.169104
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
남양주시
670 
용인시
 
641
화성시
 
613
부천시
 
494
고양시
 
478
Other values (26)
6694 

Length

Max length4
Median length3
Mean length3.1002086
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남양주시 670
 
7.0%
용인시 641
 
6.7%
화성시 613
 
6.4%
부천시 494
 
5.2%
고양시 478
 
5.0%
안산시 470
 
4.9%
파주시 467
 
4.9%
광주시 462
 
4.8%
수원시 454
 
4.7%
시흥시 425
 
4.4%
Other values (21) 4416
46.0%

Length

2023-12-11T06:58:11.221264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남양주시 670
 
7.0%
용인시 641
 
6.7%
화성시 613
 
6.4%
부천시 494
 
5.2%
고양시 478
 
5.0%
안산시 470
 
4.9%
파주시 467
 
4.9%
광주시 462
 
4.8%
수원시 454
 
4.7%
시흥시 425
 
4.4%
Other values (21) 4416
46.0%

사업장명
Text

Distinct7916
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
2023-12-11T06:58:11.419626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length6.6603754
Min length1

Characters and Unicode

Total characters63873
Distinct characters883
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6911 ?
Unique (%)72.1%

Sample

1st row가평군농협하나로마트
2nd row가평군농협하나로마트 북면점
3rd row가평군농협 하나로마트사업소 자라섬점
4th row가평군농협하나로마트 청평점
5th row침묵티하우스고요(부티끄살롱)
ValueCountFrequency (%)
주식회사 410
 
3.7%
영우유통 69
 
0.6%
농업회사법인 64
 
0.6%
주 31
 
0.3%
주)지에스리테일 27
 
0.2%
롯데쇼핑(주)롯데슈퍼 23
 
0.2%
한국유통 20
 
0.2%
미래식품 20
 
0.2%
하나로마트 18
 
0.2%
하모니마트 18
 
0.2%
Other values (8202) 10236
93.6%
2023-12-11T06:58:11.751611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3553
 
5.6%
) 3151
 
4.9%
( 3105
 
4.9%
식 1795
 
2.8%
1349
 
2.1%
마 1284
 
2.0%
이 1247
 
2.0%
트 1233
 
1.9%
품 1189
 
1.9%
사 1083
 
1.7%
Other values (873) 44884
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54584
85.5%
Close Punctuation 3152
 
4.9%
Open Punctuation 3106
 
4.9%
Space Separator 1349
 
2.1%
Uppercase Letter 953
 
1.5%
Lowercase Letter 367
 
0.6%
Decimal Number 202
 
0.3%
Other Punctuation 128
 
0.2%
Dash Punctuation 31
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3553
 
6.5%
식 1795
 
3.3%
마 1284
 
2.4%
이 1247
 
2.3%
트 1233
 
2.3%
품 1189
 
2.2%
사 1083
 
2.0%
스 1034
 
1.9%
산 973
 
1.8%
드 941
 
1.7%
Other values (801) 40252
73.7%
Uppercase Letter
ValueCountFrequency (%)
S 106
 
11.1%
F 87
 
9.1%
A 64
 
6.7%
G 64
 
6.7%
C 61
 
6.4%
O 55
 
5.8%
B 55
 
5.8%
N 51
 
5.4%
K 51
 
5.4%
D 46
 
4.8%
Other values (15) 313
32.8%
Lowercase Letter
ValueCountFrequency (%)
e 54
14.7%
o 51
13.9%
a 34
 
9.3%
m 23
 
6.3%
n 22
 
6.0%
r 21
 
5.7%
i 17
 
4.6%
d 16
 
4.4%
s 16
 
4.4%
t 13
 
3.5%
Other values (13) 100
27.2%
Decimal Number
ValueCountFrequency (%)
2 54
26.7%
1 43
21.3%
0 33
16.3%
3 21
 
10.4%
5 20
 
9.9%
4 13
 
6.4%
6 9
 
4.5%
8 5
 
2.5%
7 2
 
1.0%
9 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
& 65
50.8%
. 40
31.2%
, 8
 
6.2%
/ 7
 
5.5%
＆ 4
 
3.1%
; 2
 
1.6%
' 2
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 3151
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3105
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54579
85.4%
Common 7968
 
12.5%
Latin 1320
 
2.1%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3553
 
6.5%
식 1795
 
3.3%
마 1284
 
2.4%
이 1247
 
2.3%
트 1233
 
2.3%
품 1189
 
2.2%
사 1083
 
2.0%
스 1034
 
1.9%
산 973
 
1.8%
드 941
 
1.7%
Other values (797) 40247
73.7%
Latin
ValueCountFrequency (%)
S 106
 
8.0%
F 87
 
6.6%
A 64
 
4.8%
G 64
 
4.8%
C 61
 
4.6%
O 55
 
4.2%
B 55
 
4.2%
e 54
 
4.1%
N 51
 
3.9%
K 51
 
3.9%
Other values (38) 672
50.9%
Common
ValueCountFrequency (%)
) 3151
39.5%
( 3105
39.0%
1349
16.9%
& 65
 
0.8%
2 54
 
0.7%
1 43
 
0.5%
. 40
 
0.5%
0 33
 
0.4%
- 31
 
0.4%
3 21
 
0.3%
Other values (13) 76
 
1.0%
Han
ValueCountFrequency (%)
愛 2
33.3%
草 1
16.7%
龍 1
16.7%
福 1
16.7%
家 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54578
85.4%
ASCII 9284
 
14.5%
None 5
 
< 0.1%
CJK 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3553
 
6.5%
식 1795
 
3.3%
마 1284
 
2.4%
이 1247
 
2.3%
트 1233
 
2.3%
품 1189
 
2.2%
사 1083
 
2.0%
스 1034
 
1.9%
산 973
 
1.8%
드 941
 
1.7%
Other values (796) 40246
73.7%
ASCII
ValueCountFrequency (%)
) 3151
33.9%
( 3105
33.4%
1349
14.5%
S 106
 
1.1%
F 87
 
0.9%
& 65
 
0.7%
A 64
 
0.7%
G 64
 
0.7%
C 61
 
0.7%
O 55
 
0.6%
Other values (60) 1177
 
12.7%
None
ValueCountFrequency (%)
＆ 4
80.0%
㈜ 1
 
20.0%
CJK
ValueCountFrequency (%)
愛 2
40.0%
草 1
20.0%
福 1
20.0%
家 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 1
100.0%

인허가일자
Text

Distinct4995
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
2023-12-11T06:58:12.019363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.2
Min length8

Characters and Unicode

Total characters78638
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

Unique2483 ?
Unique (%)25.9%

Sample

1st row2000-02-16
2nd row2006-04-26
3rd row2014-03-24
4th row2006-05-15
5th row2020-10-22
ValueCountFrequency (%)
20050106 10
 
0.1%
20141212 9
 
0.1%
20040529 8
 
0.1%
20030605 8
 
0.1%
20011122 8
 
0.1%
20030117 8
 
0.1%
20001107 8
 
0.1%
20060105 7
 
0.1%
20080508 7
 
0.1%
20030814 7
 
0.1%
Other values (4985) 9510
99.2%
2023-12-11T06:58:12.629698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25568
32.5%
2 16012
20.4%
1 13969
17.8%
9 3619
 
4.6%
3 3510
 
4.5%
4 2891
 
3.7%
6 2808
 
3.6%
7 2808
 
3.6%
8 2782
 
3.5%
5 2753
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 76720
97.6%
Dash Punctuation 1918
 
2.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25568
33.3%
2 16012
20.9%
1 13969
18.2%
9 3619
 
4.7%
3 3510
 
4.6%
4 2891
 
3.8%
6 2808
 
3.7%
7 2808
 
3.7%
8 2782
 
3.6%
5 2753
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 1918
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78638
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25568
32.5%
2 16012
20.4%
1 13969
17.8%
9 3619
 
4.6%
3 3510
 
4.5%
4 2891
 
3.7%
6 2808
 
3.6%
7 2808
 
3.6%
8 2782
 
3.5%
5 2753
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78638
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25568
32.5%
2 16012
20.4%
1 13969
17.8%
9 3619
 
4.6%
3 3510
 
4.5%
4 2891
 
3.7%
6 2808
 
3.6%
7 2808
 
3.6%
8 2782
 
3.5%
5 2753
 
3.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9590
Missing (%)100.0%
Memory size84.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
<NA>
8631 
1
 
698
2
 
261

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 8631
90.0%
1 698
 
7.3%
2 261
 
2.7%

Length

2023-12-11T06:58:12.749322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:12.834200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8631
90.0%
1 698
 
7.3%
2 261
 
2.7%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
폐업 등
4992 
운영중
3639 
영업
698 
폐업
 
261

Length

Max length4
Median length4
Mean length3.4205422
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 4992
52.1%
운영중 3639
37.9%
영업 698
 
7.3%
폐업 261
 
2.7%

Length

2023-12-11T06:58:12.927884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:13.022288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5253
36.0%
등 4992
34.2%
운영중 3639
25.0%
영업 698
 
4.8%

폐업일자
Date

MISSING 

Distinct2922
Distinct (%)55.6%
Missing4337
Missing (%)45.2%
Memory size75.1 KiB
Minimum1993-01-26 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:58:13.180343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:58:13.303037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct437
Distinct (%)96.9%
Missing9139
Missing (%)95.3%
Memory size75.1 KiB
2023-12-11T06:58:13.577694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.403548
Min length7

Characters and Unicode

Total characters5143
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

Unique423 ?
Unique (%)93.8%

Sample

1st row031 5812390
2nd row031 5822590
3rd row031 5829721
4th row031 5843346
5th row02 796 4620
ValueCountFrequency (%)
031 321
29.9%
02 30
 
2.8%
070 25
 
2.3%
032 10
 
0.9%
552 5
 
0.5%
427 3
 
0.3%
637 3
 
0.3%
795 3
 
0.3%
559 3
 
0.3%
202 3
 
0.3%
Other values (612) 666
62.1%
2023-12-11T06:58:14.063536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 810
15.7%
3 675
13.1%
639
12.4%
1 636
12.4%
7 382
7.4%
8 365
7.1%
2 365
7.1%
5 362
7.0%
6 344
6.7%
4 291
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4504
87.6%
Space Separator 639
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 810
18.0%
3 675
15.0%
1 636
14.1%
7 382
8.5%
8 365
8.1%
2 365
8.1%
5 362
8.0%
6 344
7.6%
4 291
 
6.5%
9 274
 
6.1%
Space Separator
ValueCountFrequency (%)
639
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 810
15.7%
3 675
13.1%
639
12.4%
1 636
12.4%
7 382
7.4%
8 365
7.1%
2 365
7.1%
5 362
7.0%
6 344
6.7%
4 291
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 810
15.7%
3 675
13.1%
639
12.4%
1 636
12.4%
7 382
7.4%
8 365
7.1%
2 365
7.1%
5 362
7.0%
6 344
6.7%
4 291
 
5.7%

소재지면적정보
Real number (ℝ)

MISSING 

Distinct610
Distinct (%)69.2%
Missing8708
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean104.71407
Minimum0
Maximum3697.76
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:14.230600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.5
Q115
median35.9
Q3110.865
95-th percentile359.14
Maximum3697.76
Range3697.76
Interquartile range (IQR)95.865

Descriptive statistics

Standard deviation236.00288
Coefficient of variation (CV)2.2537839
Kurtosis107.90237
Mean104.71407
Median Absolute Deviation (MAD)27.57
Skewness8.7142031
Sum92357.81
Variance55697.361
MonotonicityNot monotonic
2023-12-11T06:58:14.364233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 18
 
0.2%
10.0 17
 
0.2%
6.6 16
 
0.2%
15.0 16
 
0.2%
3.3 16
 
0.2%
198.0 15
 
0.2%
20.0 13
 
0.1%
66.0 8
 
0.1%
9.9 8
 
0.1%
30.0 7
 
0.1%
Other values (600) 748
 
7.8%
(Missing) 8708
90.8%
ValueCountFrequency (%)
0.0 6
0.1%
0.5 1
 
< 0.1%
0.82 1
 
< 0.1%
1.0 2
 
< 0.1%
1.08 1
 
< 0.1%
1.2 1
 
< 0.1%
1.75 1
 
< 0.1%
1.8 1
 
< 0.1%
2.0 1
 
< 0.1%
2.16 1
 
< 0.1%
ValueCountFrequency (%)
3697.76 1
< 0.1%
3306.12 1
< 0.1%
2051.79 1
< 0.1%
1681.1 1
< 0.1%
1248.57 1
< 0.1%
1200.0 1
< 0.1%
1111.62 1
< 0.1%
1026.0 1
< 0.1%
990.27 1
< 0.1%
982.9 1
< 0.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct735
Distinct (%)77.7%
Missing8644
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean13924.073
Minimum10009
Maximum18629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:14.510603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10009
5-th percentile10233.25
Q111511
median12984
Q316512.75
95-th percentile18476
Maximum18629
Range8620
Interquartile range (IQR)5001.75

Descriptive statistics

Standard deviation2710.1239
Coefficient of variation (CV)0.19463586
Kurtosis-1.2637287
Mean13924.073
Median Absolute Deviation (MAD)2054
Skewness0.31544323
Sum13172173
Variance7344771.7
MonotonicityNot monotonic
2023-12-11T06:58:14.668951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12774 6
 
0.1%
12984 5
 
0.1%
11168 5
 
0.1%
11511 5
 
0.1%
12770 4
 
< 0.1%
10858 4
 
< 0.1%
11414 4
 
< 0.1%
11426 4
 
< 0.1%
10945 4
 
< 0.1%
16006 4
 
< 0.1%
Other values (725) 901
 
9.4%
(Missing) 8644
90.1%
ValueCountFrequency (%)
10009 2
< 0.1%
10011 2
< 0.1%
10015 1
 
< 0.1%
10016 1
 
< 0.1%
10019 1
 
< 0.1%
10030 2
< 0.1%
10033 3
< 0.1%
10037 1
 
< 0.1%
10039 1
 
< 0.1%
10040 1
 
< 0.1%
ValueCountFrequency (%)
18629 3
< 0.1%
18628 1
 
< 0.1%
18627 1
 
< 0.1%
18625 1
 
< 0.1%
18624 2
< 0.1%
18609 1
 
< 0.1%
18608 2
< 0.1%
18600 1
 
< 0.1%
18598 3
< 0.1%
18589 1
 
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct7714
Distinct (%)86.4%
Missing666
Missing (%)6.9%
Memory size75.1 KiB
2023-12-11T06:58:15.030858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length57
Mean length26.837629
Min length13

Characters and Unicode

Total characters239499
Distinct characters625
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7079 ?
Unique (%)79.3%

Sample

1st row경기도 가평군 가평읍 가화로 120
2nd row경기도 가평군 북면 가화로 992
3rd row경기도 가평군 가평읍 호반로 2562, 3층
4th row경기도 가평군 청평면 구청평로 88
5th row경기도 가평군 설악면 유명로 2267, P동 3층
ValueCountFrequency (%)
경기도 8924
 
17.1%
1층 1624
 
3.1%
남양주시 635
 
1.2%
용인시 594
 
1.1%
화성시 565
 
1.1%
부천시 481
 
0.9%
고양시 458
 
0.9%
광주시 446
 
0.9%
안산시 437
 
0.8%
수원시 426
 
0.8%
Other values (9211) 37526
72.0%
2023-12-11T06:58:15.593155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43206
 
18.0%
1 10635
 
4.4%
도 9459
 
3.9%
시 9455
 
3.9%
기 9372
 
3.9%
경 9329
 
3.9%
로 7732
 
3.2%
동 6330
 
2.6%
2 5859
 
2.4%
, 4818
 
2.0%
Other values (615) 123304
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138382
57.8%
Space Separator 43206
 
18.0%
Decimal Number 40854
 
17.1%
Other Punctuation 4851
 
2.0%
Open Punctuation 4563
 
1.9%
Close Punctuation 4562
 
1.9%
Dash Punctuation 2427
 
1.0%
Uppercase Letter 590
 
0.2%
Lowercase Letter 40
 
< 0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9459
 
6.8%
시 9455
 
6.8%
기 9372
 
6.8%
경 9329
 
6.7%
로 7732
 
5.6%
동 6330
 
4.6%
길 4637
 
3.4%
층 3184
 
2.3%
번 3161
 
2.3%
구 3147
 
2.3%
Other values (551) 72576
52.4%
Uppercase Letter
ValueCountFrequency (%)
B 205
34.7%
A 124
21.0%
C 42
 
7.1%
I 31
 
5.3%
T 30
 
5.1%
S 22
 
3.7%
D 21
 
3.6%
E 19
 
3.2%
K 18
 
3.1%
R 13
 
2.2%
Other values (14) 65
 
11.0%
Lowercase Letter
ValueCountFrequency (%)
e 6
15.0%
a 6
15.0%
k 4
10.0%
t 4
10.0%
b 3
7.5%
c 3
7.5%
s 3
7.5%
n 2
 
5.0%
m 2
 
5.0%
l 2
 
5.0%
Other values (5) 5
12.5%
Decimal Number
ValueCountFrequency (%)
1 10635
26.0%
2 5859
14.3%
3 4284
10.5%
4 3473
 
8.5%
0 3155
 
7.7%
5 3155
 
7.7%
6 2898
 
7.1%
7 2684
 
6.6%
8 2386
 
5.8%
9 2325
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 4818
99.3%
. 21
 
0.4%
/ 5
 
0.1%
@ 5
 
0.1%
: 1
 
< 0.1%
※ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 4561
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4560
> 99.9%
] 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 22
95.7%
+ 1
 
4.3%
Space Separator
ValueCountFrequency (%)
43206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2427
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138382
57.8%
Common 100486
42.0%
Latin 631
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9459
 
6.8%
시 9455
 
6.8%
기 9372
 
6.8%
경 9329
 
6.7%
로 7732
 
5.6%
동 6330
 
4.6%
길 4637
 
3.4%
층 3184
 
2.3%
번 3161
 
2.3%
구 3147
 
2.3%
Other values (551) 72576
52.4%
Latin
ValueCountFrequency (%)
B 205
32.5%
A 124
19.7%
C 42
 
6.7%
I 31
 
4.9%
T 30
 
4.8%
S 22
 
3.5%
D 21
 
3.3%
E 19
 
3.0%
K 18
 
2.9%
R 13
 
2.1%
Other values (30) 106
16.8%
Common
ValueCountFrequency (%)
43206
43.0%
1 10635
 
10.6%
2 5859
 
5.8%
, 4818
 
4.8%
( 4561
 
4.5%
) 4560
 
4.5%
3 4284
 
4.3%
4 3473
 
3.5%
0 3155
 
3.1%
5 3155
 
3.1%
Other values (14) 12780
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138382
57.8%
ASCII 101115
42.2%
Number Forms 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43206
42.7%
1 10635
 
10.5%
2 5859
 
5.8%
, 4818
 
4.8%
( 4561
 
4.5%
) 4560
 
4.5%
3 4284
 
4.2%
4 3473
 
3.4%
0 3155
 
3.1%
5 3155
 
3.1%
Other values (52) 13409
 
13.3%
Hangul
ValueCountFrequency (%)
도 9459
 
6.8%
시 9455
 
6.8%
기 9372
 
6.8%
경 9329
 
6.7%
로 7732
 
5.6%
동 6330
 
4.6%
길 4637
 
3.4%
층 3184
 
2.3%
번 3161
 
2.3%
구 3147
 
2.3%
Other values (551) 72576
52.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

소재지지번주소
Text

Distinct8888
Distinct (%)92.7%
Missing2
Missing (%)< 0.1%
Memory size75.1 KiB
2023-12-11T06:58:15.904640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length52
Mean length25.862224
Min length14

Characters and Unicode

Total characters247967
Distinct characters592
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8417 ?
Unique (%)87.8%

Sample

1st row경기도 가평군 가평읍 읍내리 472 외3필지
2nd row경기도 가평군 북면 목동리 820-1
3rd row경기도 가평군 가평읍 달전리 452-1 3층
4th row경기도 가평군 청평면 청평리 619-2 외 2필지
5th row경기도 가평군 설악면 회곡리 898
ValueCountFrequency (%)
경기도 9588
 
18.0%
1층 1272
 
2.4%
남양주시 670
 
1.3%
용인시 641
 
1.2%
화성시 613
 
1.2%
부천시 494
 
0.9%
고양시 478
 
0.9%
안산시 470
 
0.9%
파주시 467
 
0.9%
광주시 462
 
0.9%
Other values (10133) 37984
71.5%
2023-12-11T06:58:16.418037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44461
 
17.9%
1 11369
 
4.6%
지 10813
 
4.4%
도 10046
 
4.1%
시 9988
 
4.0%
기 9881
 
4.0%
경 9619
 
3.9%
번 8646
 
3.5%
동 8495
 
3.4%
- 7555
 
3.0%
Other values (582) 117094
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 146715
59.2%
Decimal Number 46309
 
18.7%
Space Separator 44461
 
17.9%
Dash Punctuation 7555
 
3.0%
Uppercase Letter 910
 
0.4%
Open Punctuation 691
 
0.3%
Close Punctuation 690
 
0.3%
Other Punctuation 576
 
0.2%
Lowercase Letter 40
 
< 0.1%
Math Symbol 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 10813
 
7.4%
도 10046
 
6.8%
시 9988
 
6.8%
기 9881
 
6.7%
경 9619
 
6.6%
번 8646
 
5.9%
동 8495
 
5.8%
리 3708
 
2.5%
구 3247
 
2.2%
층 3048
 
2.1%
Other values (518) 69224
47.2%
Uppercase Letter
ValueCountFrequency (%)
B 233
25.6%
A 139
15.3%
G 132
14.5%
S 126
13.8%
L 39
 
4.3%
C 38
 
4.2%
T 33
 
3.6%
I 29
 
3.2%
K 23
 
2.5%
E 22
 
2.4%
Other values (14) 96
10.5%
Lowercase Letter
ValueCountFrequency (%)
s 6
15.0%
k 6
15.0%
c 6
15.0%
e 5
12.5%
a 4
10.0%
n 3
7.5%
l 2
 
5.0%
m 2
 
5.0%
h 1
 
2.5%
b 1
 
2.5%
Other values (4) 4
10.0%
Decimal Number
ValueCountFrequency (%)
1 11369
24.6%
2 6234
13.5%
3 4811
10.4%
4 4253
 
9.2%
5 3803
 
8.2%
0 3646
 
7.9%
6 3431
 
7.4%
7 3272
 
7.1%
8 2804
 
6.1%
9 2686
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 519
90.1%
. 37
 
6.4%
@ 12
 
2.1%
/ 5
 
0.9%
: 1
 
0.2%
※ 1
 
0.2%
& 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 18
90.0%
∼ 1
 
5.0%
+ 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 689
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 688
99.7%
] 2
 
0.3%
Space Separator
ValueCountFrequency (%)
44461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146713
59.2%
Common 100302
40.4%
Latin 950
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 10813
 
7.4%
도 10046
 
6.8%
시 9988
 
6.8%
기 9881
 
6.7%
경 9619
 
6.6%
번 8646
 
5.9%
동 8495
 
5.8%
리 3708
 
2.5%
구 3247
 
2.2%
층 3048
 
2.1%
Other values (516) 69222
47.2%
Latin
ValueCountFrequency (%)
B 233
24.5%
A 139
14.6%
G 132
13.9%
S 126
13.3%
L 39
 
4.1%
C 38
 
4.0%
T 33
 
3.5%
I 29
 
3.1%
K 23
 
2.4%
E 22
 
2.3%
Other values (28) 136
14.3%
Common
ValueCountFrequency (%)
44461
44.3%
1 11369
 
11.3%
- 7555
 
7.5%
2 6234
 
6.2%
3 4811
 
4.8%
4 4253
 
4.2%
5 3803
 
3.8%
0 3646
 
3.6%
6 3431
 
3.4%
7 3272
 
3.3%
Other values (16) 7467
 
7.4%
Han
ValueCountFrequency (%)
福 1
50.0%
內 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 146712
59.2%
ASCII 101250
40.8%
CJK 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44461
43.9%
1 11369
 
11.2%
- 7555
 
7.5%
2 6234
 
6.2%
3 4811
 
4.8%
4 4253
 
4.2%
5 3803
 
3.8%
0 3646
 
3.6%
6 3431
 
3.4%
7 3272
 
3.2%
Other values (52) 8415
 
8.3%
Hangul
ValueCountFrequency (%)
지 10813
 
7.4%
도 10046
 
6.8%
시 9988
 
6.8%
기 9881
 
6.7%
경 9619
 
6.6%
번 8646
 
5.9%
동 8495
 
5.8%
리 3708
 
2.5%
구 3247
 
2.2%
층 3048
 
2.1%
Other values (515) 69221
47.2%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
CJK
ValueCountFrequency (%)
福 1
50.0%
內 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅠ 1
100.0%

소재지우편번호
Text

Distinct2546
Distinct (%)26.6%
Missing18
Missing (%)0.2%
Memory size75.1 KiB
2023-12-11T06:58:16.814611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0263268
Min length5

Characters and Unicode

Total characters57684
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

Unique1017 ?
Unique (%)10.6%

Sample

1st row477-801
2nd row477-842
3rd row477-804
4th row477-813
5th row477-854
ValueCountFrequency (%)
462807 69
 
0.7%
471010 56
 
0.6%
471829 53
 
0.6%
14548 52
 
0.5%
472901 42
 
0.4%
429867 41
 
0.4%
410570 36
 
0.4%
472833 35
 
0.4%
472831 35
 
0.4%
465816 31
 
0.3%
Other values (2536) 9122
95.3%
2023-12-11T06:58:17.370377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 13803
23.9%
8 7944
13.8%
1 6195
10.7%
0 5408
 
9.4%
2 5254
 
9.1%
5 4195
 
7.3%
3 4012
 
7.0%
6 3858
 
6.7%
7 3668
 
6.4%
9 2464
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56801
98.5%
Dash Punctuation 883
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 13803
24.3%
8 7944
14.0%
1 6195
10.9%
0 5408
 
9.5%
2 5254
 
9.2%
5 4195
 
7.4%
3 4012
 
7.1%
6 3858
 
6.8%
7 3668
 
6.5%
9 2464
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 883
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 13803
23.9%
8 7944
13.8%
1 6195
10.7%
0 5408
 
9.4%
2 5254
 
9.1%
5 4195
 
7.3%
3 4012
 
7.0%
6 3858
 
6.7%
7 3668
 
6.4%
9 2464
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 13803
23.9%
8 7944
13.8%
1 6195
10.7%
0 5408
 
9.4%
2 5254
 
9.1%
5 4195
 
7.3%
3 4012
 
7.0%
6 3858
 
6.7%
7 3668
 
6.4%
9 2464
 
4.3%

WGS84위도
Real number (ℝ)

MISSING 

Distinct7160
Distinct (%)76.5%
Missing230
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean37.456202
Minimum36.920879
Maximum38.194923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:17.547626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.920879
5-th percentile37.069626
Q137.294394
median37.425809
Q337.649143
95-th percentile37.83243
Maximum38.194923
Range1.2740437
Interquartile range (IQR)0.3547487

Descriptive statistics

Standard deviation0.23181498
Coefficient of variation (CV)0.0061889612
Kurtosis-0.61716308
Mean37.456202
Median Absolute Deviation (MAD)0.17437142
Skewness0.094362035
Sum350590.05
Variance0.053738185
MonotonicityNot monotonic
2023-12-11T06:58:17.719184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6026921337 53
 
0.6%
37.5025517408 46
 
0.5%
37.6103315074 43
 
0.4%
37.6131390076 25
 
0.3%
37.4262633755 22
 
0.2%
37.4430368253 21
 
0.2%
37.3805799212 19
 
0.2%
37.3171248925 19
 
0.2%
37.1494423257 17
 
0.2%
37.3376271419 16
 
0.2%
Other values (7150) 9079
94.7%
(Missing) 230
 
2.4%
ValueCountFrequency (%)
36.9208790503 2
< 0.1%
36.9208941244 1
< 0.1%
36.9233565698 1
< 0.1%
36.9326141456 1
< 0.1%
36.9358563719 1
< 0.1%
36.9372657379 1
< 0.1%
36.938720379 2
< 0.1%
36.9402870569 1
< 0.1%
36.9443129561 1
< 0.1%
36.9469848837 1
< 0.1%
ValueCountFrequency (%)
38.194922745 2
< 0.1%
38.1638767191 1
< 0.1%
38.1574976121 1
< 0.1%
38.1121625152 1
< 0.1%
38.1032035247 1
< 0.1%
38.1015606195 1
< 0.1%
38.0988193403 1
< 0.1%
38.0972962527 1
< 0.1%
38.091375083 1
< 0.1%
38.0904627858 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct7160
Distinct (%)76.5%
Missing230
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean127.02746
Minimum126.52556
Maximum127.78532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:17.872093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52556
5-th percentile126.72002
Q1126.84282
median127.03785
Q3127.17786
95-th percentile127.39228
Maximum127.78532
Range1.2597635
Interquartile range (IQR)0.33503859

Descriptive statistics

Standard deviation0.21465056
Coefficient of variation (CV)0.0016897965
Kurtosis-0.24786296
Mean127.02746
Median Absolute Deviation (MAD)0.16618939
Skewness0.29465187
Sum1188977
Variance0.046074861
MonotonicityNot monotonic
2023-12-11T06:58:18.040393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1437935543 53
 
0.6%
126.7753741701 46
 
0.5%
127.1454453107 43
 
0.4%
127.1409110928 25
 
0.3%
126.9918692595 22
 
0.2%
126.7919559438 21
 
0.2%
126.9728964085 19
 
0.2%
126.8500756669 19
 
0.2%
127.0730382398 17
 
0.2%
126.7306774357 16
 
0.2%
Other values (7150) 9079
94.7%
(Missing) 230
 
2.4%
ValueCountFrequency (%)
126.5255574103 1
< 0.1%
126.5258920816 1
< 0.1%
126.5365181249 1
< 0.1%
126.5374401377 1
< 0.1%
126.5441024 1
< 0.1%
126.5452733136 1
< 0.1%
126.5463533253 1
< 0.1%
126.5474030126 1
< 0.1%
126.5497387546 1
< 0.1%
126.5518630664 1
< 0.1%
ValueCountFrequency (%)
127.7853209107 1
 
< 0.1%
127.7735374445 2
< 0.1%
127.7562044742 1
 
< 0.1%
127.7555835694 1
 
< 0.1%
127.7466836272 1
 
< 0.1%
127.7360059745 1
 
< 0.1%
127.7131540776 1
 
< 0.1%
127.7108313359 1
 
< 0.1%
127.7104484814 1
 
< 0.1%
127.7033737721 3
< 0.1%

업태구분명정보
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
<NA>
8631 
식품소분업
959 

Length

Max length5
Median length4
Mean length4.1
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8631
90.0%
식품소분업 959
 
10.0%

Length

2023-12-11T06:58:18.181309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:18.271978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8631
90.0%
식품소분업 959
 
10.0%

X좌표값
Real number (ℝ)

MISSING 

Distinct893
Distinct (%)96.3%
Missing8663
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean203956.7
Minimum160005.83
Maximum268372.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:18.399234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160005.83
5-th percentile173958.26
Q1187427.25
median204253.39
Q3217051.08
95-th percentile240322.1
Maximum268372.77
Range108366.93
Interquartile range (IQR)29623.831

Descriptive statistics

Standard deviation20042.324
Coefficient of variation (CV)0.098267546
Kurtosis-0.13150028
Mean203956.7
Median Absolute Deviation (MAD)13899.142
Skewness0.30044623
Sum1.8906786 × 108
Variance4.0169476 × 108
MonotonicityNot monotonic
2023-12-11T06:58:18.561914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
217044.982167915 4
 
< 0.1%
196887.324054485 3
 
< 0.1%
218609.095893606 2
 
< 0.1%
198510.710258364 2
 
< 0.1%
182910.904052084 2
 
< 0.1%
203871.979034333 2
 
< 0.1%
203276.111841293 2
 
< 0.1%
231509.452636777 2
 
< 0.1%
216667.476216735 2
 
< 0.1%
256308.818539595 2
 
< 0.1%
Other values (883) 904
 
9.4%
(Missing) 8663
90.3%
ValueCountFrequency (%)
160005.834801456 1
< 0.1%
162809.708386591 1
< 0.1%
162967.240335236 1
< 0.1%
163131.413670876 1
< 0.1%
163234.281304472 1
< 0.1%
163400.673329392 1
< 0.1%
163660.929780087 1
< 0.1%
163749.821746997 1
< 0.1%
163880.675463631 1
< 0.1%
164423.009167197 1
< 0.1%
ValueCountFrequency (%)
268372.766168543 1
< 0.1%
266817.756499423 1
< 0.1%
258973.995289767 1
< 0.1%
257859.938798213 1
< 0.1%
257122.579738234 1
< 0.1%
257027.582094413 1
< 0.1%
256396.882477281 1
< 0.1%
256308.818539595 2
< 0.1%
256199.409581762 1
< 0.1%
256177.910490464 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct893
Distinct (%)96.3%
Missing8663
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean441861.32
Minimum383706.99
Maximum521355.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:18.700196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum383706.99
5-th percentile401030.98
Q1420244.56
median438730.09
Q3464909.25
95-th percentile483003.58
Maximum521355.21
Range137648.22
Interquartile range (IQR)44664.691

Descriptive statistics

Standard deviation26950.133
Coefficient of variation (CV)0.060992288
Kurtosis-0.90598045
Mean441861.32
Median Absolute Deviation (MAD)21946.61
Skewness0.03783939
Sum4.0960545 × 108
Variance7.2630967 × 108
MonotonicityNot monotonic
2023-12-11T06:58:18.863602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449307.942535913 4
 
< 0.1%
427892.743399513 3
 
< 0.1%
407195.206396651 2
 
< 0.1%
477647.890359066 2
 
< 0.1%
468316.99396983 2
 
< 0.1%
412518.574708427 2
 
< 0.1%
472107.299071153 2
 
< 0.1%
427892.822922731 2
 
< 0.1%
469094.610885102 2
 
< 0.1%
421297.837570118 2
 
< 0.1%
Other values (883) 904
 
9.4%
(Missing) 8663
90.3%
ValueCountFrequency (%)
383706.991013814 1
< 0.1%
384068.841060614 1
< 0.1%
384214.034353206 1
< 0.1%
384273.803887284 1
< 0.1%
384681.56809345 1
< 0.1%
386128.47514724 1
< 0.1%
386332.486076265 1
< 0.1%
387025.979345035 1
< 0.1%
387336.981684963 1
< 0.1%
387538.204612155 1
< 0.1%
ValueCountFrequency (%)
521355.21183318 1
< 0.1%
509193.042846029 1
< 0.1%
507339.645685303 1
< 0.1%
506026.952448755 1
< 0.1%
498407.132738966 1
< 0.1%
498347.683074063 1
< 0.1%
495167.132130244 1
< 0.1%
494724.537320769 1
< 0.1%
494644.965894742 1
< 0.1%
493733.452030713 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
식품소분업
9539 
<NA>
 
51

Length

Max length5
Median length5
Mean length4.994682
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 9539
99.5%
<NA> 51
 
0.5%

Length

2023-12-11T06:58:19.038099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:19.130235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 9539
99.5%
na 51
 
0.5%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
<NA>
8823 
0
 
767

Length

Max length4
Median length4
Mean length3.7600626
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8823
92.0%
0 767
 
8.0%

Length

2023-12-11T06:58:19.227215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:19.326931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8823
92.0%
0 767
 
8.0%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
<NA>
8823 
0
 
767

Length

Max length4
Median length4
Mean length3.7600626
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 8823
92.0%
0 767
 
8.0%

Length

2023-12-11T06:58:19.429878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:19.532998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8823
92.0%
0 767
 
8.0%

영업장주변구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9589
Missing (%)> 99.9%
Memory size75.1 KiB
2023-12-11T06:58:19.853424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2023-12-11T06:58:20.069493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

등급구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9589
Missing (%)> 99.9%
Memory size75.1 KiB
2023-12-11T06:58:20.187638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row자율
ValueCountFrequency (%)
자율 1
100.0%
2023-12-11T06:58:20.425175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 1
50.0%
율 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 1
50.0%
율 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 1
50.0%
율 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 1
50.0%
율 1
50.0%

본사종업원수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
<NA>
8739 
0
 
849
1
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.7337852
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 8739
91.1%
0 849
 
8.9%
1 1
 
< 0.1%
2 1
 
< 0.1%

Length

2023-12-11T06:58:20.566368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:20.689345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8739
91.1%
0 849
 
8.9%
1 1
 
< 0.1%
2 1
 
< 0.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
<NA>
8738 
0
 
842
1
 
7
8
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.7334724
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 8738
91.1%
0 842
 
8.8%
1 7
 
0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-11T06:58:20.798695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:20.919774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8738
91.1%
0 842
 
8.8%
1 7
 
0.1%
8 1
 
< 0.1%
4 1
 
< 0.1%
3 1
 
< 0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
<NA>
8739 
0
 
842
1
 
5
2
 
2
4
 
1

Length

Max length4
Median length4
Mean length3.7337852
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 8739
91.1%
0 842
 
8.8%
1 5
 
0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T06:58:21.072538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:58:21.183074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8739
91.1%
0 842
 
8.8%
1 5
 
0.1%
2 2
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%

공장생산직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.7%
Missing8738
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean0.055164319
Minimum0
Maximum10
Zeros831
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:21.280926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48041218
Coefficient of variation (CV)8.7087484
Kurtosis250.19066
Mean0.055164319
Median Absolute Deviation (MAD)0
Skewness14.174894
Sum47
Variance0.23079586
MonotonicityNot monotonic
2023-12-11T06:58:21.379737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 831
 
8.7%
1 11
 
0.1%
3 4
 
< 0.1%
2 4
 
< 0.1%
10 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 8738
91.1%
ValueCountFrequency (%)
0 831
8.7%
1 11
 
0.1%
2 4
 
< 0.1%
3 4
 
< 0.1%
6 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
6 1
 
< 0.1%
3 4
 
< 0.1%
2 4
 
< 0.1%
1 11
 
0.1%
0 831
8.7%

보증금액
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.8%
Missing8817
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean213454.08
Minimum0
Maximum60000000
Zeros767
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:21.480415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum60000000
Range60000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2876963.2
Coefficient of variation (CV)13.478137
Kurtosis298.66444
Mean213454.08
Median Absolute Deviation (MAD)0
Skewness16.444825
Sum1.65 × 108
Variance8.2769172 × 1012
MonotonicityNot monotonic
2023-12-11T06:58:21.599969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 767
 
8.0%
10000000 2
 
< 0.1%
40000000 1
 
< 0.1%
25000000 1
 
< 0.1%
20000000 1
 
< 0.1%
60000000 1
 
< 0.1%
(Missing) 8817
91.9%
ValueCountFrequency (%)
0 767
8.0%
10000000 2
 
< 0.1%
20000000 1
 
< 0.1%
25000000 1
 
< 0.1%
40000000 1
 
< 0.1%
60000000 1
 
< 0.1%
ValueCountFrequency (%)
60000000 1
 
< 0.1%
40000000 1
 
< 0.1%
25000000 1
 
< 0.1%
20000000 1
 
< 0.1%
10000000 2
 
< 0.1%
0 767
8.0%

월세금액
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.9%
Missing8817
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean19382.277
Minimum0
Maximum5500000
Zeros767
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size84.4 KiB
2023-12-11T06:58:21.701029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5500000
Range5500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation257910.88
Coefficient of variation (CV)13.306531
Kurtosis303.00815
Mean19382.277
Median Absolute Deviation (MAD)0
Skewness16.397291
Sum14982500
Variance6.651802 × 1010
MonotonicityNot monotonic
2023-12-11T06:58:21.798059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 767
 
8.0%
2800000 1
 
< 0.1%
2782500 1
 
< 0.1%
900000 1
 
< 0.1%
1000000 1
 
< 0.1%
2000000 1
 
< 0.1%
5500000 1
 
< 0.1%
(Missing) 8817
91.9%
ValueCountFrequency (%)
0 767
8.0%
900000 1
 
< 0.1%
1000000 1
 
< 0.1%
2000000 1
 
< 0.1%
2782500 1
 
< 0.1%
2800000 1
 
< 0.1%
5500000 1
 
< 0.1%
ValueCountFrequency (%)
5500000 1
 
< 0.1%
2800000 1
 
< 0.1%
2782500 1
 
< 0.1%
2000000 1
 
< 0.1%
1000000 1
 
< 0.1%
900000 1
 
< 0.1%
0 767
8.0%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing51
Missing (%)0.5%
Memory size18.9 KiB
False
9539 
(Missing)
 
51
ValueCountFrequency (%)
False 9539
99.5%
(Missing) 51
 
0.5%
2023-12-11T06:58:21.910533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9590
Missing (%)100.0%
Memory size84.4 KiB

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9590
Missing (%)100.0%
Memory size84.4 KiB

전통업소음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9590
Missing (%)100.0%
Memory size84.4 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
0가평군가평군농협하나로마트2000-02-16<NA>1영업<NA>031 581239034.9612419경기도 가평군 가평읍 가화로 120경기도 가평군 가평읍 읍내리 472 외3필지477-80137.830176127.514182식품소분업245168.059874480991.243378식품소분업<NA><NA><NA><NA>0000<NA><NA>N<NA><NA><NA>
1가평군가평군농협하나로마트 북면점2006-04-26<NA>1영업<NA>031 58225901.012403경기도 가평군 북면 가화로 992경기도 가평군 북면 목동리 820-1477-84237.883884127.549241식품소분업248230.55393486955.045296식품소분업<NA><NA><NA><NA>000000N<NA><NA><NA>
2가평군가평군농협 하나로마트사업소 자라섬점2014-03-24<NA>1영업<NA>031 58297219.8412422경기도 가평군 가평읍 호반로 2562, 3층경기도 가평군 가평읍 달전리 452-1 3층477-80437.814429127.515099식품소분업245286.319396479221.184496식품소분업<NA><NA><NA><NA>0000<NA><NA>N<NA><NA><NA>
3가평군가평군농협하나로마트 청평점2006-05-15<NA>1영업<NA>031 58433462.2512453경기도 가평군 청평면 구청평로 88경기도 가평군 청평면 청평리 619-2 외 2필지477-81337.735074127.415256식품소분업236536.915896470364.566268식품소분업<NA><NA><NA><NA>0000<NA><NA>N<NA><NA><NA>
4가평군침묵티하우스고요(부티끄살롱)2020-10-22<NA>1영업<NA>02 796 46203.512459경기도 가평군 설악면 유명로 2267, P동 3층경기도 가평군 설악면 회곡리 898477-85437.701978127.44767식품소분업<NA><NA>식품소분업00<NA><NA>000000N<NA><NA><NA>
5가평군가평군농협하나로마트 조종점2008-07-04<NA>1영업<NA>031 585775049.512438경기도 가평군 조종면 조종희망로 4경기도 가평군 조종면 현리 410-11243837.817785127.348831식품소분업230648.078253479520.634086식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
6가평군청평유통주식회사2022-06-09<NA>1영업<NA>031 584 6161225.7512447경기도 가평군 상면 수목원로 5, 1동 1층경기도 가평군 상면 임초리 420477-82437.773252127.372245식품소분업232732.206137474580.169892식품소분업00<NA><NA>000000N<NA><NA><NA>
7가평군주식회사솔닙1996-08-05<NA>1영업<NA>031 5846161174.7512447경기도 가평군 상면 수목원로 5, 제1동 1층경기도 가평군 상면 임초리 420 외 1필지, 제1동 1층477-82437.773252127.372245식품소분업232732.206137474580.169892식품소분업<NA><NA><NA><NA>0000<NA><NA>N<NA><NA><NA>
8가평군(주)마음2023-06-12<NA>1영업<NA><NA>40.512444경기도 가평군 상면 비룡로 2217-17, 가동경기도 가평군 상면 연하리 457-1 가동477-82337.802764127.344557식품소분업230279.782082477859.525255식품소분업00<NA><NA>000000N<NA><NA><NA>
9가평군가평농협하나로마트 설악점2008-08-27<NA>1영업<NA>031 585 813522.812465경기도 가평군 설악면 신천중앙로 112경기도 가평군 설악면 신천리 432-4 외 1필지477-85337.677762127.491619식품소분업243287.051486464032.393013식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
9580화성시한국식품소재20010622<NA><NA>폐업 등20040109<NA><NA><NA>경기도 화성시 정남면 괘랑5길 14경기도 화성시 정남면 괘랑리 44-12번지44596537.186038127.003341<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9581화성시후드넥스20011213<NA><NA>폐업 등20031219<NA><NA><NA>경기도 화성시 병점중앙로170번길 12-10경기도 화성시 진안동 872-5번지44539037.21362127.038685<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9582화성시천하종합상사19990515<NA><NA>폐업 등20070129<NA><NA><NA>경기도 화성시 봉담읍 복만터길 55-2경기도 화성시 봉담읍 마하리 139-2번지44590237.180926126.94218<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9583화성시가나안양봉19990526<NA><NA>폐업 등20060519<NA><NA><NA>경기도 화성시 정남면 만년로 232-45경기도 화성시 정남면 계향리 491-2번지 A동44596137.141954126.981042<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9584화성시그린하우스19981204<NA><NA>폐업 등20001030<NA><NA><NA>경기도 화성시 향남읍 발안로 629경기도 화성시 향남읍 송곡리 339-1번지44592137.125732126.973633<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9585화성시미래종합푸드(주)20020724<NA><NA>폐업 등20070129<NA><NA><NA>경기도 화성시 매송면 야목동길 37-3경기도 화성시 매송면 야목리 511-3번지 외 2필지44583137.26697126.881624<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9586화성시한일인삼제품19970506<NA><NA>폐업 등20070129<NA><NA><NA>경기도 화성시 팔탄면 노하길 500경기도 화성시 팔탄면 율암리 473-2번지44591337.165547126.878644<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9587화성시대덕유통20020913<NA><NA>폐업 등20071108<NA><NA><NA>경기도 화성시 병점3로 19 (병점동)경기도 화성시 병점동 349-9번지 농협하나로마트44536037.208326127.035697<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9588화성시(주)쌀로만제과20001227<NA><NA>폐업 등20070601<NA><NA><NA>경기도 화성시 향남읍 발안공단로 306-15경기도 화성시 향남읍 구문천리 426번지 외 1필지44592237.080473126.89806<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9589화성시(주)기린알티아이19951006<NA><NA>폐업 등20140325<NA><NA><NA>경기도 화성시 정남면 괘랑1길 42-27경기도 화성시 정남면 보통리 240번지44596337.182255126.982795<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부# duplicates
1화성시(주)애니푸드20071107<NA>폐업 등20100122<NA><NA><NA><NA>경기도 화성시 오산동 967-1238번지44515037.202138127.090495<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N3
0시흥시믿음수산유통20140407<NA>폐업 등20170531<NA><NA><NA>경기도 시흥시 복지로43번길 1-1, 1층 (대야동)경기도 시흥시 대야동 491-52번지 1층42981237.443396126.788742<NA><NA><NA>식품소분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N2