Overview

Dataset statistics

Number of variables33
Number of observations4921
Missing cells62803
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory283.0 B

Variable types

Categorical8
Text6
DateTime2
Unsupported4
Numeric12
Boolean1

Dataset

Description식품제조가공업(기타) 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=UEPE6SZY15K687FIJRVA13685730&infSeq=1

Alerts

위생업태명 is highly imbalanced (71.3%)Imbalance
등급구분명 is highly imbalanced (99.3%)Imbalance
다중이용업소여부 is highly imbalanced (99.3%)Imbalance
인허가취소일자 has 4921 (100.0%) missing valuesMissing
폐업일자 has 3959 (80.5%) missing valuesMissing
소재지시설전화번호 has 3843 (78.1%) missing valuesMissing
소재지면적정보 has 2956 (60.1%) missing valuesMissing
도로명우편번호 has 2964 (60.2%) missing valuesMissing
X좌표값 has 3010 (61.2%) missing valuesMissing
Y좌표값 has 3010 (61.2%) missing valuesMissing
영업장주변구분명 has 4918 (99.9%) missing valuesMissing
본사종업원수 has 3018 (61.3%) missing valuesMissing
공장사무직종업원수 has 3016 (61.3%) missing valuesMissing
공장판매직종업원수 has 3017 (61.3%) missing valuesMissing
공장생산직종업원수 has 3013 (61.2%) missing valuesMissing
보증금액 has 3167 (64.4%) missing valuesMissing
월세금액 has 3168 (64.4%) missing valuesMissing
다중이용업소여부 has 55 (1.1%) missing valuesMissing
시설총규모 has 4921 (100.0%) missing valuesMissing
전통업소지정번호 has 4921 (100.0%) missing valuesMissing
전통업소음식 has 4921 (100.0%) missing valuesMissing
본사종업원수 is highly skewed (γ1 = 34.51488898)Skewed
공장사무직종업원수 is highly skewed (γ1 = 27.12203818)Skewed
공장판매직종업원수 is highly skewed (γ1 = 31.98805176)Skewed
공장생산직종업원수 is highly skewed (γ1 = 38.89902167)Skewed
보증금액 is highly skewed (γ1 = 21.77022665)Skewed
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
본사종업원수 has 1881 (38.2%) zerosZeros
공장사무직종업원수 has 1752 (35.6%) zerosZeros
공장판매직종업원수 has 1872 (38.0%) zerosZeros
공장생산직종업원수 has 1685 (34.2%) zerosZeros
보증금액 has 1725 (35.1%) zerosZeros
월세금액 has 1728 (35.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:19:00.188723
Analysis finished2023-12-10 21:19:01.651942
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
화성시
376 
성남시
345 
남양주시
 
325
파주시
 
314
김포시
 
304
Other values (27)
3257 

Length

Max length4
Median length3
Mean length3.0865678
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 376
 
7.6%
성남시 345
 
7.0%
남양주시 325
 
6.6%
파주시 314
 
6.4%
김포시 304
 
6.2%
용인시 297
 
6.0%
광주시 296
 
6.0%
고양시 284
 
5.8%
부천시 247
 
5.0%
수원시 224
 
4.6%
Other values (22) 1909
38.8%

Length

2023-12-11T06:19:01.707640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 376
 
7.6%
성남시 345
 
7.0%
남양주시 325
 
6.6%
파주시 314
 
6.4%
김포시 304
 
6.2%
용인시 297
 
6.0%
광주시 296
 
6.0%
고양시 284
 
5.8%
부천시 247
 
5.0%
수원시 224
 
4.6%
Other values (22) 1909
38.8%

사업장명
Text

Distinct4533
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
2023-12-11T06:19:01.980591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length7.5868726
Min length2

Characters and Unicode

Total characters37335
Distinct characters849
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4172 ?
Unique (%)84.8%

Sample

1st row삼진식품
2nd row산야초문화탐방
3rd row(주)더모어푸드
4th row주식회사 미가
5th row(주)안샘
ValueCountFrequency (%)
주식회사 572
 
9.1%
농업회사법인 130
 
2.1%
제2공장 23
 
0.4%
coffee 19
 
0.3%
커피 18
 
0.3%
주 12
 
0.2%
팩토리 11
 
0.2%
영농조합법인 11
 
0.2%
더 11
 
0.2%
농업회사법인(주 9
 
0.1%
Other values (4815) 5437
87.0%
2023-12-11T06:19:02.432577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2254
 
6.0%
) 1674
 
4.5%
( 1656
 
4.4%
1333
 
3.6%
식 1247
 
3.3%
사 1075
 
2.9%
회 992
 
2.7%
드 939
 
2.5%
이 902
 
2.4%
스 870
 
2.3%
Other values (839) 24393
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30711
82.3%
Close Punctuation 1674
 
4.5%
Open Punctuation 1656
 
4.4%
Space Separator 1333
 
3.6%
Uppercase Letter 937
 
2.5%
Lowercase Letter 716
 
1.9%
Decimal Number 214
 
0.6%
Other Punctuation 84
 
0.2%
Dash Punctuation 6
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2254
 
7.3%
식 1247
 
4.1%
사 1075
 
3.5%
회 992
 
3.2%
드 939
 
3.1%
이 902
 
2.9%
스 870
 
2.8%
푸 810
 
2.6%
에 549
 
1.8%
품 534
 
1.7%
Other values (766) 20539
66.9%
Uppercase Letter
ValueCountFrequency (%)
F 123
13.1%
O 81
 
8.6%
S 73
 
7.8%
C 72
 
7.7%
E 71
 
7.6%
R 55
 
5.9%
B 55
 
5.9%
D 52
 
5.5%
A 51
 
5.4%
T 46
 
4.9%
Other values (16) 258
27.5%
Lowercase Letter
ValueCountFrequency (%)
e 126
17.6%
o 83
11.6%
a 67
9.4%
r 54
 
7.5%
f 48
 
6.7%
t 43
 
6.0%
c 39
 
5.4%
n 35
 
4.9%
i 32
 
4.5%
l 27
 
3.8%
Other values (13) 162
22.6%
Decimal Number
ValueCountFrequency (%)
2 77
36.0%
1 46
21.5%
3 26
 
12.1%
0 15
 
7.0%
5 10
 
4.7%
8 10
 
4.7%
6 9
 
4.2%
9 9
 
4.2%
7 8
 
3.7%
4 4
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 59
70.2%
. 15
 
17.9%
' 4
 
4.8%
, 3
 
3.6%
· 2
 
2.4%
＆ 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
> 1
33.3%
< 1
33.3%
+ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1674
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1656
100.0%
Space Separator
ValueCountFrequency (%)
1333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30705
82.2%
Common 4970
 
13.3%
Latin 1653
 
4.4%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2254
 
7.3%
식 1247
 
4.1%
사 1075
 
3.5%
회 992
 
3.2%
드 939
 
3.1%
이 902
 
2.9%
스 870
 
2.8%
푸 810
 
2.6%
에 549
 
1.8%
품 534
 
1.7%
Other values (760) 20533
66.9%
Latin
ValueCountFrequency (%)
e 126
 
7.6%
F 123
 
7.4%
o 83
 
5.0%
O 81
 
4.9%
S 73
 
4.4%
C 72
 
4.4%
E 71
 
4.3%
a 67
 
4.1%
R 55
 
3.3%
B 55
 
3.3%
Other values (39) 847
51.2%
Common
ValueCountFrequency (%)
) 1674
33.7%
( 1656
33.3%
1333
26.8%
2 77
 
1.5%
& 59
 
1.2%
1 46
 
0.9%
3 26
 
0.5%
. 15
 
0.3%
0 15
 
0.3%
5 10
 
0.2%
Other values (13) 59
 
1.2%
Han
ValueCountFrequency (%)
大 1
14.3%
米 1
14.3%
林 1
14.3%
公 1
14.3%
子 1
14.3%
食 1
14.3%
品 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30704
82.2%
ASCII 6620
 
17.7%
CJK 6
 
< 0.1%
None 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2254
 
7.3%
식 1247
 
4.1%
사 1075
 
3.5%
회 992
 
3.2%
드 939
 
3.1%
이 902
 
2.9%
스 870
 
2.8%
푸 810
 
2.6%
에 549
 
1.8%
품 534
 
1.7%
Other values (759) 20532
66.9%
ASCII
ValueCountFrequency (%)
) 1674
25.3%
( 1656
25.0%
1333
20.1%
e 126
 
1.9%
F 123
 
1.9%
o 83
 
1.3%
O 81
 
1.2%
2 77
 
1.2%
S 73
 
1.1%
C 72
 
1.1%
Other values (60) 1322
20.0%
None
ValueCountFrequency (%)
· 2
50.0%
＆ 1
25.0%
㈜ 1
25.0%
CJK
ValueCountFrequency (%)
大 1
16.7%
米 1
16.7%
公 1
16.7%
子 1
16.7%
食 1
16.7%
品 1
16.7%
CJK Compat Ideographs
ValueCountFrequency (%)
林 1
100.0%

인허가일자
Date

Distinct2153
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
Minimum1971-10-30 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:19:02.567033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:02.696115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4921
Missing (%)100.0%
Memory size43.4 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
<NA>
2952 
1
1557 
2
412 

Length

Max length4
Median length4
Mean length2.7996342
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2952
60.0%
1 1557
31.6%
2 412
 
8.4%

Length

2023-12-11T06:19:02.872255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:03.019109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2952
60.0%
1 1557
31.6%
2 412
 
8.4%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
운영중
2402 
영업
1557 
폐업 등
550 
폐업
412 

Length

Max length4
Median length3
Mean length2.711644
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 2402
48.8%
영업 1557
31.6%
폐업 등 550
 
11.2%
폐업 412
 
8.4%

Length

2023-12-11T06:19:03.173449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:03.274404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 2402
43.9%
영업 1557
28.5%
폐업 962
17.6%
등 550
 
10.1%

폐업일자
Date

MISSING 

Distinct516
Distinct (%)53.6%
Missing3959
Missing (%)80.5%
Memory size38.6 KiB
Minimum2012-10-11 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:19:03.377072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:19:03.679435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct1025
Distinct (%)95.1%
Missing3843
Missing (%)78.1%
Memory size38.6 KiB
2023-12-11T06:19:03.949739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.419295
Min length7

Characters and Unicode

Total characters12310
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

Unique974 ?
Unique (%)90.4%

Sample

1st row031 584 3787
2nd row031 584 6629
3rd row031 580 2850
4th row031 584 6161
5th row070 77981454
ValueCountFrequency (%)
031 714
28.1%
070 77
 
3.0%
02 65
 
2.6%
032 34
 
1.3%
796 8
 
0.3%
542 6
 
0.2%
791 6
 
0.2%
947 6
 
0.2%
959 5
 
0.2%
684 5
 
0.2%
Other values (1350) 1615
63.6%
2023-12-11T06:19:04.357751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1893
15.4%
3 1576
12.8%
1526
12.4%
1 1508
12.3%
7 1022
8.3%
8 881
7.2%
5 836
6.8%
2 813
6.6%
4 778
6.3%
6 752
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10784
87.6%
Space Separator 1526
 
12.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1893
17.6%
3 1576
14.6%
1 1508
14.0%
7 1022
9.5%
8 881
8.2%
5 836
7.8%
2 813
7.5%
4 778
7.2%
6 752
 
7.0%
9 725
 
6.7%
Space Separator
ValueCountFrequency (%)
1526
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1893
15.4%
3 1576
12.8%
1526
12.4%
1 1508
12.3%
7 1022
8.3%
8 881
7.2%
5 836
6.8%
2 813
6.6%
4 778
6.3%
6 752
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1893
15.4%
3 1576
12.8%
1526
12.4%
1 1508
12.3%
7 1022
8.3%
8 881
7.2%
5 836
6.8%
2 813
6.6%
4 778
6.3%
6 752
 
6.1%

소재지면적정보
Real number (ℝ)

MISSING 

Distinct1712
Distinct (%)87.1%
Missing2956
Missing (%)60.1%
Infinite0
Infinite (%)0.0%
Mean810.34315
Minimum0
Maximum72306.45
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:04.501575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27.34
Q187
median197.88
Q3469
95-th percentile2705.408
Maximum72306.45
Range72306.45
Interquartile range (IQR)382

Descriptive statistics

Standard deviation3420.5187
Coefficient of variation (CV)4.2210743
Kurtosis195.93328
Mean810.34315
Median Absolute Deviation (MAD)140.87
Skewness12.604763
Sum1592324.3
Variance11699948
MonotonicityNot monotonic
2023-12-11T06:19:04.625444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.0 51
 
1.0%
396.0 12
 
0.2%
495.0 10
 
0.2%
99.0 6
 
0.1%
100.0 5
 
0.1%
144.0 5
 
0.1%
120.0 5
 
0.1%
60.0 5
 
0.1%
180.0 5
 
0.1%
39.0 4
 
0.1%
Other values (1702) 1857
37.7%
(Missing) 2956
60.1%
ValueCountFrequency (%)
0.0 2
< 0.1%
3.07 1
< 0.1%
3.24 1
< 0.1%
3.6 1
< 0.1%
5.74 1
< 0.1%
6.11 1
< 0.1%
6.36 1
< 0.1%
6.67 1
< 0.1%
7.11 1
< 0.1%
7.26 1
< 0.1%
ValueCountFrequency (%)
72306.45 1
< 0.1%
56533.38 1
< 0.1%
50096.42 1
< 0.1%
45294.37 1
< 0.1%
41233.93 1
< 0.1%
39617.01 1
< 0.1%
33243.99 1
< 0.1%
26713.32 1
< 0.1%
26660.89 1
< 0.1%
23951.51 1
< 0.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1046
Distinct (%)53.4%
Missing2964
Missing (%)60.2%
Infinite0
Infinite (%)0.0%
Mean13791.061
Minimum10009
Maximum27642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:04.761343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10009
5-th percentile10091
Q111187
median13020
Q316542
95-th percentile18471.2
Maximum27642
Range17633
Interquartile range (IQR)5355

Descriptive statistics

Standard deviation2789.9557
Coefficient of variation (CV)0.20230174
Kurtosis-0.98044003
Mean13791.061
Median Absolute Deviation (MAD)2138
Skewness0.4204399
Sum26989106
Variance7783852.6
MonotonicityNot monotonic
2023-12-11T06:19:04.890845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13201 27
 
0.5%
13211 18
 
0.4%
10858 13
 
0.3%
13219 12
 
0.2%
13207 11
 
0.2%
12729 10
 
0.2%
11167 9
 
0.2%
10945 8
 
0.2%
12017 8
 
0.2%
13202 8
 
0.2%
Other values (1036) 1833
37.2%
(Missing) 2964
60.2%
ValueCountFrequency (%)
10009 3
0.1%
10010 1
 
< 0.1%
10011 2
 
< 0.1%
10012 2
 
< 0.1%
10013 4
0.1%
10015 1
 
< 0.1%
10016 3
0.1%
10017 5
0.1%
10022 2
 
< 0.1%
10023 2
 
< 0.1%
ValueCountFrequency (%)
27642 1
 
< 0.1%
18633 1
 
< 0.1%
18631 1
 
< 0.1%
18629 3
0.1%
18628 3
0.1%
18626 2
< 0.1%
18625 2
< 0.1%
18624 2
< 0.1%
18614 3
0.1%
18608 4
0.1%

소재지도로명주소
Text

Distinct4670
Distinct (%)94.9%
Missing1
Missing (%)< 0.1%
Memory size38.6 KiB
2023-12-11T06:19:05.145207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length64
Mean length31.691667
Min length14

Characters and Unicode

Total characters155923
Distinct characters597
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4427 ?
Unique (%)90.0%

Sample

1st row경기도 가평군 청평면 수리재길 3
2nd row경기도 가평군 설악면 한서로 595, 지하1층
3rd row경기도 가평군 청평면 마지기길 9-78, 1~2층
4th row경기도 가평군 청평면 남이터길 45, 제1동 1층
5th row경기도 가평군 청평면 북한강로 2068, 주1동 2층
ValueCountFrequency (%)
경기도 4919
 
14.9%
1층 1454
 
4.4%
화성시 376
 
1.1%
성남시 345
 
1.0%
남양주시 325
 
1.0%
파주시 314
 
1.0%
김포시 304
 
0.9%
용인시 297
 
0.9%
광주시 296
 
0.9%
고양시 283
 
0.9%
Other values (6728) 24039
73.0%
2023-12-11T06:19:05.545876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28047
 
18.0%
1 7432
 
4.8%
기 5263
 
3.4%
도 5212
 
3.3%
경 5066
 
3.2%
시 5004
 
3.2%
동 4944
 
3.2%
, 4727
 
3.0%
2 4092
 
2.6%
로 4072
 
2.6%
Other values (587) 82064
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86571
55.5%
Space Separator 28047
 
18.0%
Decimal Number 27624
 
17.7%
Other Punctuation 4752
 
3.0%
Close Punctuation 3077
 
2.0%
Open Punctuation 3077
 
2.0%
Dash Punctuation 1766
 
1.1%
Uppercase Letter 866
 
0.6%
Math Symbol 74
 
< 0.1%
Lowercase Letter 52
 
< 0.1%
Other values (2) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 5263
 
6.1%
도 5212
 
6.0%
경 5066
 
5.9%
시 5004
 
5.8%
동 4944
 
5.7%
로 4072
 
4.7%
길 2853
 
3.3%
층 2685
 
3.1%
번 1876
 
2.2%
구 1624
 
1.9%
Other values (522) 47972
55.4%
Uppercase Letter
ValueCountFrequency (%)
B 262
30.3%
A 171
19.7%
S 61
 
7.0%
C 48
 
5.5%
T 48
 
5.5%
I 46
 
5.3%
K 40
 
4.6%
D 36
 
4.2%
E 35
 
4.0%
R 16
 
1.8%
Other values (16) 103
 
11.9%
Lowercase Letter
ValueCountFrequency (%)
n 17
32.7%
e 9
17.3%
r 5
 
9.6%
t 4
 
7.7%
o 3
 
5.8%
c 3
 
5.8%
k 2
 
3.8%
s 2
 
3.8%
w 2
 
3.8%
u 1
 
1.9%
Other values (4) 4
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 7432
26.9%
2 4092
14.8%
3 2783
 
10.1%
0 2421
 
8.8%
4 2386
 
8.6%
5 2193
 
7.9%
6 1820
 
6.6%
7 1589
 
5.8%
8 1470
 
5.3%
9 1438
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 4727
99.5%
. 18
 
0.4%
/ 4
 
0.1%
· 2
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 3
37.5%
Ⅱ 3
37.5%
Ⅰ 2
25.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 8
88.9%
㎡ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
28047
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3077
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3077
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1766
100.0%
Math Symbol
ValueCountFrequency (%)
~ 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86571
55.5%
Common 68426
43.9%
Latin 926
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 5263
 
6.1%
도 5212
 
6.0%
경 5066
 
5.9%
시 5004
 
5.8%
동 4944
 
5.7%
로 4072
 
4.7%
길 2853
 
3.3%
층 2685
 
3.1%
번 1876
 
2.2%
구 1624
 
1.9%
Other values (522) 47972
55.4%
Latin
ValueCountFrequency (%)
B 262
28.3%
A 171
18.5%
S 61
 
6.6%
C 48
 
5.2%
T 48
 
5.2%
I 46
 
5.0%
K 40
 
4.3%
D 36
 
3.9%
E 35
 
3.8%
n 17
 
1.8%
Other values (33) 162
17.5%
Common
ValueCountFrequency (%)
28047
41.0%
1 7432
 
10.9%
, 4727
 
6.9%
2 4092
 
6.0%
) 3077
 
4.5%
( 3077
 
4.5%
3 2783
 
4.1%
0 2421
 
3.5%
4 2386
 
3.5%
5 2193
 
3.2%
Other values (12) 8191
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86571
55.5%
ASCII 69333
44.5%
Enclosed Alphanum 8
 
< 0.1%
Number Forms 8
 
< 0.1%
None 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28047
40.5%
1 7432
 
10.7%
, 4727
 
6.8%
2 4092
 
5.9%
) 3077
 
4.4%
( 3077
 
4.4%
3 2783
 
4.0%
0 2421
 
3.5%
4 2386
 
3.4%
5 2193
 
3.2%
Other values (49) 9098
 
13.1%
Hangul
ValueCountFrequency (%)
기 5263
 
6.1%
도 5212
 
6.0%
경 5066
 
5.9%
시 5004
 
5.8%
동 4944
 
5.7%
로 4072
 
4.7%
길 2853
 
3.3%
층 2685
 
3.1%
번 1876
 
2.2%
구 1624
 
1.9%
Other values (522) 47972
55.4%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 8
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 3
37.5%
Ⅱ 3
37.5%
Ⅰ 2
25.0%
None
ValueCountFrequency (%)
· 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지지번주소
Text

Distinct4748
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
2023-12-11T06:19:05.835062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length57
Mean length26.12721
Min length14

Characters and Unicode

Total characters128572
Distinct characters526
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4614 ?
Unique (%)93.8%

Sample

1st row경기도 가평군 청평면 상천리 1112-4
2nd row경기도 가평군 설악면 위곡리 2 지하1층
3rd row경기도 가평군 청평면 하천리 235
4th row경기도 가평군 청평면 대성리 428-31 제1동, 1층
5th row경기도 가평군 청평면 삼회리 188-4 주1동, 2층
ValueCountFrequency (%)
경기도 4920
 
17.7%
1층 644
 
2.3%
화성시 376
 
1.4%
성남시 345
 
1.2%
남양주시 325
 
1.2%
파주시 314
 
1.1%
김포시 304
 
1.1%
용인시 297
 
1.1%
광주시 296
 
1.1%
고양시 284
 
1.0%
Other values (6480) 19727
70.9%
2023-12-11T06:19:06.284396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24734
 
19.2%
1 5685
 
4.4%
도 5189
 
4.0%
기 5083
 
4.0%
시 4952
 
3.9%
경 4937
 
3.8%
동 4239
 
3.3%
- 3996
 
3.1%
지 3612
 
2.8%
2 3371
 
2.6%
Other values (516) 62774
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73863
57.4%
Space Separator 24734
 
19.2%
Decimal Number 24437
 
19.0%
Dash Punctuation 3996
 
3.1%
Uppercase Letter 607
 
0.5%
Other Punctuation 571
 
0.4%
Open Punctuation 133
 
0.1%
Close Punctuation 131
 
0.1%
Lowercase Letter 46
 
< 0.1%
Math Symbol 42
 
< 0.1%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 5189
 
7.0%
기 5083
 
6.9%
시 4952
 
6.7%
경 4937
 
6.7%
동 4239
 
5.7%
지 3612
 
4.9%
번 2959
 
4.0%
리 2452
 
3.3%
구 1554
 
2.1%
주 1346
 
1.8%
Other values (454) 37540
50.8%
Uppercase Letter
ValueCountFrequency (%)
B 163
26.9%
A 110
18.1%
S 50
 
8.2%
T 44
 
7.2%
I 40
 
6.6%
K 37
 
6.1%
C 28
 
4.6%
D 28
 
4.6%
E 27
 
4.4%
R 13
 
2.1%
Other values (15) 67
11.0%
Lowercase Letter
ValueCountFrequency (%)
n 18
39.1%
e 8
17.4%
r 4
 
8.7%
t 4
 
8.7%
c 3
 
6.5%
o 2
 
4.3%
u 1
 
2.2%
w 1
 
2.2%
s 1
 
2.2%
k 1
 
2.2%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 5685
23.3%
2 3371
13.8%
3 2736
11.2%
4 2321
9.5%
5 2068
 
8.5%
0 1943
 
8.0%
6 1812
 
7.4%
7 1653
 
6.8%
8 1449
 
5.9%
9 1399
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 560
98.1%
. 8
 
1.4%
: 1
 
0.2%
/ 1
 
0.2%
& 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 3
50.0%
Ⅱ 2
33.3%
Ⅲ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
24734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3996
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Math Symbol
ValueCountFrequency (%)
~ 42
100.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73863
57.4%
Common 54050
42.0%
Latin 659
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 5189
 
7.0%
기 5083
 
6.9%
시 4952
 
6.7%
경 4937
 
6.7%
동 4239
 
5.7%
지 3612
 
4.9%
번 2959
 
4.0%
리 2452
 
3.3%
구 1554
 
2.1%
주 1346
 
1.8%
Other values (454) 37540
50.8%
Latin
ValueCountFrequency (%)
B 163
24.7%
A 110
16.7%
S 50
 
7.6%
T 44
 
6.7%
I 40
 
6.1%
K 37
 
5.6%
C 28
 
4.2%
D 28
 
4.2%
E 27
 
4.1%
n 18
 
2.7%
Other values (31) 114
17.3%
Common
ValueCountFrequency (%)
24734
45.8%
1 5685
 
10.5%
- 3996
 
7.4%
2 3371
 
6.2%
3 2736
 
5.1%
4 2321
 
4.3%
5 2068
 
3.8%
0 1943
 
3.6%
6 1812
 
3.4%
7 1653
 
3.1%
Other values (11) 3731
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73863
57.4%
ASCII 54697
42.5%
Enclosed Alphanum 6
 
< 0.1%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24734
45.2%
1 5685
 
10.4%
- 3996
 
7.3%
2 3371
 
6.2%
3 2736
 
5.0%
4 2321
 
4.2%
5 2068
 
3.8%
0 1943
 
3.6%
6 1812
 
3.3%
7 1653
 
3.0%
Other values (48) 4378
 
8.0%
Hangul
ValueCountFrequency (%)
도 5189
 
7.0%
기 5083
 
6.9%
시 4952
 
6.7%
경 4937
 
6.7%
동 4239
 
5.7%
지 3612
 
4.9%
번 2959
 
4.0%
리 2452
 
3.3%
구 1554
 
2.1%
주 1346
 
1.8%
Other values (454) 37540
50.8%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 3
50.0%
Ⅱ 2
33.3%
Ⅲ 1
 
16.7%

소재지우편번호
Text

Distinct1970
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
2023-12-11T06:19:06.611006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2901849
Min length5

Characters and Unicode

Total characters30954
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

Unique988 ?
Unique (%)20.1%

Sample

1st row477-814
2nd row477-855
3rd row477-816
4th row477-812
5th row477-813
ValueCountFrequency (%)
462807 65
 
1.3%
462-807 60
 
1.2%
472861 27
 
0.5%
462713 26
 
0.5%
465-170 23
 
0.5%
462-713 22
 
0.4%
472831 21
 
0.4%
471050 19
 
0.4%
14449 19
 
0.4%
471829 17
 
0.3%
Other values (1960) 4622
93.9%
2023-12-11T06:19:07.058246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 7040
22.7%
8 3969
12.8%
1 3284
10.6%
0 2588
 
8.4%
2 2584
 
8.3%
5 2281
 
7.4%
6 2189
 
7.1%
3 2036
 
6.6%
7 1938
 
6.3%
- 1807
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29147
94.2%
Dash Punctuation 1807
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 7040
24.2%
8 3969
13.6%
1 3284
11.3%
0 2588
 
8.9%
2 2584
 
8.9%
5 2281
 
7.8%
6 2189
 
7.5%
3 2036
 
7.0%
7 1938
 
6.6%
9 1238
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1807
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 7040
22.7%
8 3969
12.8%
1 3284
10.6%
0 2588
 
8.4%
2 2584
 
8.3%
5 2281
 
7.4%
6 2189
 
7.1%
3 2036
 
6.6%
7 1938
 
6.3%
- 1807
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 7040
22.7%
8 3969
12.8%
1 3284
10.6%
0 2588
 
8.4%
2 2584
 
8.3%
5 2281
 
7.4%
6 2189
 
7.1%
3 2036
 
6.6%
7 1938
 
6.3%
- 1807
 
5.8%

WGS84위도
Real number (ℝ)

Distinct4023
Distinct (%)81.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.474338
Minimum36.920284
Maximum38.230553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:07.201096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.920284
5-th percentile37.087618
Q137.297473
median37.440657
Q337.682947
95-th percentile37.841809
Maximum38.230553
Range1.3102697
Interquartile range (IQR)0.38547493

Descriptive statistics

Standard deviation0.23870472
Coefficient of variation (CV)0.0063698181
Kurtosis-0.72411257
Mean37.474338
Median Absolute Deviation (MAD)0.19404155
Skewness0.034169664
Sum184336.27
Variance0.056979941
MonotonicityNot monotonic
2023-12-11T06:19:07.341097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.436719428 24
 
0.5%
37.6490702916 23
 
0.5%
37.4404884338 20
 
0.4%
37.6103315074 19
 
0.4%
37.5235727573 16
 
0.3%
37.5535037868 15
 
0.3%
37.4412173177 14
 
0.3%
37.4406568155 12
 
0.2%
37.4333851732 12
 
0.2%
37.440571342 11
 
0.2%
Other values (4013) 4753
96.6%
ValueCountFrequency (%)
36.9202835686 1
< 0.1%
36.9205967687 1
< 0.1%
36.9224464866 1
< 0.1%
36.9256034371 1
< 0.1%
36.9388029302 1
< 0.1%
36.9405083015 1
< 0.1%
36.9443129561 1
< 0.1%
36.9456724264 2
< 0.1%
36.9496981424 1
< 0.1%
36.9514970731 1
< 0.1%
ValueCountFrequency (%)
38.2305533176 1
< 0.1%
38.217554465 1
< 0.1%
38.194922745 1
< 0.1%
38.1852237833 1
< 0.1%
38.1843792822 2
< 0.1%
38.141664381 1
< 0.1%
38.1353575798 1
< 0.1%
38.1230899081 1
< 0.1%
38.0996644107 1
< 0.1%
38.0993630893 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct4023
Distinct (%)81.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean127.03555
Minimum126.53744
Maximum127.79248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:07.477269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53744
5-th percentile126.68442
Q1126.838
median127.04833
Q3127.19132
95-th percentile127.43835
Maximum127.79248
Range1.2550356
Interquartile range (IQR)0.35331722

Descriptive statistics

Standard deviation0.23414859
Coefficient of variation (CV)0.0018431737
Kurtosis-0.27714586
Mean127.03555
Median Absolute Deviation (MAD)0.16918993
Skewness0.22766733
Sum624887.87
Variance0.054825561
MonotonicityNot monotonic
2023-12-11T06:19:07.612633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1698572002 24
 
0.5%
126.9019008596 23
 
0.5%
127.1735598142 20
 
0.4%
127.1454453107 19
 
0.4%
126.7668756786 16
 
0.3%
127.1946802895 15
 
0.3%
127.1731157691 14
 
0.3%
127.1725190689 12
 
0.2%
127.1733985075 12
 
0.2%
127.1774934154 11
 
0.2%
Other values (4013) 4753
96.6%
ValueCountFrequency (%)
126.5374401377 1
< 0.1%
126.5379449361 1
< 0.1%
126.5384794086 1
< 0.1%
126.5385060815 2
< 0.1%
126.5451037995 1
< 0.1%
126.546477426 1
< 0.1%
126.5466908877 1
< 0.1%
126.5482088142 1
< 0.1%
126.5492932192 1
< 0.1%
126.5494113543 1
< 0.1%
ValueCountFrequency (%)
127.7924757138 2
< 0.1%
127.7735374445 1
< 0.1%
127.7657889602 1
< 0.1%
127.7490742266 1
< 0.1%
127.7479402801 1
< 0.1%
127.7473549942 1
< 0.1%
127.7455049897 1
< 0.1%
127.7315553448 1
< 0.1%
127.7263060375 1
< 0.1%
127.7237508479 1
< 0.1%

업태구분명정보
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
<NA>
2952 
기타 식품제조가공업
1475 
식품제조가공업
481 
도시락제조업
 
13

Length

Max length10
Median length4
Mean length6.0969315
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품제조가공업
2nd row기타 식품제조가공업
3rd row기타 식품제조가공업
4th row기타 식품제조가공업
5th row기타 식품제조가공업

Common Values

ValueCountFrequency (%)
<NA> 2952
60.0%
기타 식품제조가공업 1475
30.0%
식품제조가공업 481
 
9.8%
도시락제조업 13
 
0.3%

Length

2023-12-11T06:19:07.725905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:07.826534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2952
46.2%
식품제조가공업 1956
30.6%
기타 1475
23.1%
도시락제조업 13
 
0.2%

X좌표값
Real number (ℝ)

MISSING 

Distinct1663
Distinct (%)87.0%
Missing3010
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean202918.24
Minimum159160.29
Maximum269948.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:07.931751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159160.29
5-th percentile172104.02
Q1185547.61
median203568.39
Q3215960.42
95-th percentile242285.56
Maximum269948.62
Range110788.33
Interquartile range (IQR)30412.81

Descriptive statistics

Standard deviation20967.328
Coefficient of variation (CV)0.10332894
Kurtosis-0.21386795
Mean202918.24
Median Absolute Deviation (MAD)15054.266
Skewness0.30836062
Sum3.8777675 × 108
Variance4.3962882 × 108
MonotonicityNot monotonic
2023-12-11T06:19:08.041468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215290.24309391 13
 
0.3%
215368.038114824 9
 
0.2%
215657.504440664 8
 
0.2%
217137.519410187 7
 
0.1%
214983.338171288 7
 
0.1%
217044.982167915 7
 
0.1%
179310.262058675 6
 
0.1%
214988.077761293 6
 
0.1%
191287.508236468 6
 
0.1%
215514.565801263 6
 
0.1%
Other values (1653) 1836
37.3%
(Missing) 3010
61.2%
ValueCountFrequency (%)
159160.290781795 1
< 0.1%
159225.229584842 1
< 0.1%
159906.950581549 1
< 0.1%
160060.492585125 1
< 0.1%
160175.787828574 1
< 0.1%
160181.762836292 1
< 0.1%
160366.603900467 1
< 0.1%
160710.866340846 1
< 0.1%
160719.498777988 1
< 0.1%
161000.976349068 1
< 0.1%
ValueCountFrequency (%)
269948.620530303 1
< 0.1%
268372.766168543 1
< 0.1%
267613.228837558 1
< 0.1%
266003.265856665 1
< 0.1%
264687.150727146 1
< 0.1%
264124.710187771 1
< 0.1%
263898.410172915 1
< 0.1%
260863.17461631 1
< 0.1%
259211.958353186 1
< 0.1%
259080.685740486 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct1663
Distinct (%)87.0%
Missing3010
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean442186.4
Minimum379863.11
Maximum521355.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:08.142084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379863.11
5-th percentile395407.51
Q1420877.63
median437895.18
Q3466558.88
95-th percentile483892.95
Maximum521355.21
Range141492.1
Interquartile range (IQR)45681.249

Descriptive statistics

Standard deviation28118.22
Coefficient of variation (CV)0.063589065
Kurtosis-0.90226479
Mean442186.4
Median Absolute Deviation (MAD)23538.596
Skewness-0.026680778
Sum8.4501821 × 108
Variance7.9063428 × 108
MonotonicityNot monotonic
2023-12-11T06:19:08.249076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437602.880935543 13
 
0.3%
437028.250819307 9
 
0.2%
437557.61664539 8
 
0.2%
450158.241480494 7
 
0.1%
437154.00905322 7
 
0.1%
449307.942535913 7
 
0.1%
446776.72323855 6
 
0.1%
436875.364849249 6
 
0.1%
460746.546568849 6
 
0.1%
437011.91279074 6
 
0.1%
Other values (1653) 1836
37.3%
(Missing) 3010
61.2%
ValueCountFrequency (%)
379863.113093375 1
< 0.1%
380111.369855175 1
< 0.1%
380465.969051097 1
< 0.1%
382100.80502748 1
< 0.1%
383325.436060179 1
< 0.1%
384068.841060614 1
< 0.1%
384185.088672152 1
< 0.1%
384261.104247142 1
< 0.1%
384630.519427839 1
< 0.1%
384718.34839966 1
< 0.1%
ValueCountFrequency (%)
521355.21183318 1
< 0.1%
520166.332322853 1
< 0.1%
515437.692380999 1
< 0.1%
514723.039816385 1
< 0.1%
507942.291795663 1
< 0.1%
507768.617745876 1
< 0.1%
507226.584800817 1
< 0.1%
502763.808000419 1
< 0.1%
500387.82323695 1
< 0.1%
499695.275735657 1
< 0.1%

위생업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
기타 식품제조가공업
4373 
식품제조가공업
480 
<NA>
 
55
도시락제조업
 
13

Length

Max length10
Median length10
Mean length9.6297501
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식품제조가공업
2nd row기타 식품제조가공업
3rd row기타 식품제조가공업
4th row기타 식품제조가공업
5th row기타 식품제조가공업

Common Values

ValueCountFrequency (%)
기타 식품제조가공업 4373
88.9%
식품제조가공업 480
 
9.8%
<NA> 55
 
1.1%
도시락제조업 13
 
0.3%

Length

2023-12-11T06:19:08.355378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:08.432418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 4853
52.2%
기타 4373
47.1%
na 55
 
0.6%
도시락제조업 13
 
0.1%

남성종사자수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
<NA>
3172 
0
1748 
1
 
1

Length

Max length4
Median length4
Mean length2.9337533
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3172
64.5%
0 1748
35.5%
1 1
 
< 0.1%

Length

2023-12-11T06:19:08.520074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:08.599590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3172
64.5%
0 1748
35.5%
1 1
 
< 0.1%

여성종사자수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
<NA>
3172 
0
1749 

Length

Max length4
Median length4
Mean length2.9337533
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3172
64.5%
0 1749
35.5%

Length

2023-12-11T06:19:08.683465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:08.769059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3172
64.5%
0 1749
35.5%

영업장주변구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing4918
Missing (%)99.9%
Memory size38.6 KiB
2023-12-11T06:19:08.844874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length3
Min length2

Characters and Unicode

Total characters9
Distinct characters6
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 (%)33.3%

Sample

1st row기타
2nd row주택가주변
3rd row기타
ValueCountFrequency (%)
기타 2
66.7%
주택가주변 1
33.3%
2023-12-11T06:19:09.035030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
22.2%
타 2
22.2%
주 2
22.2%
택 1
11.1%
가 1
11.1%
변 1
11.1%

등급구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size38.6 KiB
<NA>
4918 
기타
 
3

Length

Max length4
Median length4
Mean length3.9987807
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4918
99.9%
기타 3
 
0.1%

Length

2023-12-11T06:19:09.146914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:19:09.227246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4918
99.9%
기타 3
 
0.1%

본사종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11
Distinct (%)0.6%
Missing3018
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean0.25118234
Minimum0
Maximum245
Zeros1881
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:09.521854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum245
Range245
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.2993972
Coefficient of variation (CV)25.078981
Kurtosis1267.7786
Mean0.25118234
Median Absolute Deviation (MAD)0
Skewness34.514889
Sum478
Variance39.682405
MonotonicityNot monotonic
2023-12-11T06:19:09.605031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1881
38.2%
3 5
 
0.1%
1 3
 
0.1%
2 3
 
0.1%
4 3
 
0.1%
13 3
 
0.1%
245 1
 
< 0.1%
6 1
 
< 0.1%
120 1
 
< 0.1%
14 1
 
< 0.1%
(Missing) 3018
61.3%
ValueCountFrequency (%)
0 1881
38.2%
1 3
 
0.1%
2 3
 
0.1%
3 5
 
0.1%
4 3
 
0.1%
6 1
 
< 0.1%
13 3
 
0.1%
14 1
 
< 0.1%
18 1
 
< 0.1%
120 1
 
< 0.1%
ValueCountFrequency (%)
245 1
 
< 0.1%
120 1
 
< 0.1%
18 1
 
< 0.1%
14 1
 
< 0.1%
13 3
0.1%
6 1
 
< 0.1%
4 3
0.1%
3 5
0.1%
2 3
0.1%
1 3
0.1%

공장사무직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct19
Distinct (%)1.0%
Missing3016
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean0.3664042
Minimum0
Maximum160
Zeros1752
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:09.692922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum160
Range160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.5398706
Coefficient of variation (CV)12.390335
Kurtosis862.3018
Mean0.3664042
Median Absolute Deviation (MAD)0
Skewness27.122038
Sum698
Variance20.610425
MonotonicityNot monotonic
2023-12-11T06:19:09.806844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 1752
35.6%
1 89
 
1.8%
2 25
 
0.5%
3 14
 
0.3%
4 6
 
0.1%
6 5
 
0.1%
7 2
 
< 0.1%
12 1
 
< 0.1%
71 1
 
< 0.1%
35 1
 
< 0.1%
Other values (9) 9
 
0.2%
(Missing) 3016
61.3%
ValueCountFrequency (%)
0 1752
35.6%
1 89
 
1.8%
2 25
 
0.5%
3 14
 
0.3%
4 6
 
0.1%
5 1
 
< 0.1%
6 5
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
160 1
< 0.1%
71 1
< 0.1%
67 1
< 0.1%
38 1
< 0.1%
35 1
< 0.1%
20 1
< 0.1%
14 1
< 0.1%
12 1
< 0.1%
10 1
< 0.1%
9 1
< 0.1%

공장판매직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8
Distinct (%)0.4%
Missing3017
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean0.080357143
Minimum0
Maximum63
Zeros1872
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:09.907713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum63
Range63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7109436
Coefficient of variation (CV)21.291743
Kurtosis1088.7495
Mean0.080357143
Median Absolute Deviation (MAD)0
Skewness31.988052
Sum153
Variance2.9273281
MonotonicityNot monotonic
2023-12-11T06:19:09.990226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1872
38.0%
1 21
 
0.4%
2 4
 
0.1%
3 3
 
0.1%
9 1
 
< 0.1%
38 1
 
< 0.1%
5 1
 
< 0.1%
63 1
 
< 0.1%
(Missing) 3017
61.3%
ValueCountFrequency (%)
0 1872
38.0%
1 21
 
0.4%
2 4
 
0.1%
3 3
 
0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
38 1
 
< 0.1%
63 1
 
< 0.1%
ValueCountFrequency (%)
63 1
 
< 0.1%
38 1
 
< 0.1%
9 1
 
< 0.1%
5 1
 
< 0.1%
3 3
 
0.1%
2 4
 
0.1%
1 21
 
0.4%
0 1872
38.0%

공장생산직종업원수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct30
Distinct (%)1.6%
Missing3013
Missing (%)61.2%
Infinite0
Infinite (%)0.0%
Mean1.3438155
Minimum0
Maximum953
Zeros1685
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:10.091327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum953
Range953
Interquartile range (IQR)0

Descriptive statistics

Standard deviation22.736059
Coefficient of variation (CV)16.919033
Kurtosis1614.1645
Mean1.3438155
Median Absolute Deviation (MAD)0
Skewness38.899022
Sum2564
Variance516.9284
MonotonicityNot monotonic
2023-12-11T06:19:10.213084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1685
34.2%
1 65
 
1.3%
2 47
 
1.0%
3 25
 
0.5%
5 17
 
0.3%
4 16
 
0.3%
10 8
 
0.2%
7 6
 
0.1%
8 5
 
0.1%
13 5
 
0.1%
Other values (20) 29
 
0.6%
(Missing) 3013
61.2%
ValueCountFrequency (%)
0 1685
34.2%
1 65
 
1.3%
2 47
 
1.0%
3 25
 
0.5%
4 16
 
0.3%
5 17
 
0.3%
6 4
 
0.1%
7 6
 
0.1%
8 5
 
0.1%
10 8
 
0.2%
ValueCountFrequency (%)
953 1
< 0.1%
169 1
< 0.1%
140 1
< 0.1%
100 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%
48 1
< 0.1%
42 1
< 0.1%
38 1
< 0.1%
36 1
< 0.1%

보증금액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct16
Distinct (%)0.9%
Missing3167
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean685860.89
Minimum0
Maximum2.5 × 108
Zeros1725
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:10.314803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.5 × 108
Range2.5 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8694075.1
Coefficient of variation (CV)12.676149
Kurtosis553.16003
Mean685860.89
Median Absolute Deviation (MAD)0
Skewness21.770227
Sum1.203 × 109
Variance7.5586942 × 1013
MonotonicityNot monotonic
2023-12-11T06:19:10.411256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1725
35.1%
20000000 7
 
0.1%
30000000 5
 
0.1%
40000000 2
 
< 0.1%
50000000 2
 
< 0.1%
5000000 2
 
< 0.1%
10000000 2
 
< 0.1%
90000000 1
 
< 0.1%
14000000 1
 
< 0.1%
35000000 1
 
< 0.1%
Other values (6) 6
 
0.1%
(Missing) 3167
64.4%
ValueCountFrequency (%)
0 1725
35.1%
5000000 2
 
< 0.1%
10000000 2
 
< 0.1%
12000000 1
 
< 0.1%
14000000 1
 
< 0.1%
15000000 1
 
< 0.1%
17000000 1
 
< 0.1%
20000000 7
 
0.1%
30000000 5
 
0.1%
35000000 1
 
< 0.1%
ValueCountFrequency (%)
250000000 1
 
< 0.1%
200000000 1
 
< 0.1%
90000000 1
 
< 0.1%
70000000 1
 
< 0.1%
50000000 2
 
< 0.1%
40000000 2
 
< 0.1%
35000000 1
 
< 0.1%
30000000 5
0.1%
20000000 7
0.1%
17000000 1
 
< 0.1%

월세금액
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)1.0%
Missing3168
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean38220.194
Minimum0
Maximum10000000
Zeros1728
Zeros (%)35.1%
Negative0
Negative (%)0.0%
Memory size43.4 KiB
2023-12-11T06:19:10.504197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10000000
Range10000000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation427803.84
Coefficient of variation (CV)11.193136
Kurtosis315.17199
Mean38220.194
Median Absolute Deviation (MAD)0
Skewness16.264063
Sum67000000
Variance1.8301612 × 1011
MonotonicityNot monotonic
2023-12-11T06:19:10.611907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 1728
35.1%
1800000 3
 
0.1%
2200000 2
 
< 0.1%
1900000 2
 
< 0.1%
500000 2
 
< 0.1%
600000 2
 
< 0.1%
1200000 2
 
< 0.1%
3500000 2
 
< 0.1%
1700000 1
 
< 0.1%
4500000 1
 
< 0.1%
Other values (8) 8
 
0.2%
(Missing) 3168
64.4%
ValueCountFrequency (%)
0 1728
35.1%
500000 2
 
< 0.1%
550000 1
 
< 0.1%
600000 2
 
< 0.1%
1200000 2
 
< 0.1%
1400000 1
 
< 0.1%
1700000 1
 
< 0.1%
1800000 3
 
0.1%
1900000 2
 
< 0.1%
2200000 2
 
< 0.1%
ValueCountFrequency (%)
10000000 1
< 0.1%
9000000 1
< 0.1%
6050000 1
< 0.1%
4500000 1
< 0.1%
3500000 2
< 0.1%
3300000 1
< 0.1%
2800000 1
< 0.1%
2500000 1
< 0.1%
2200000 2
< 0.1%
1900000 2
< 0.1%

다중이용업소여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing55
Missing (%)1.1%
Memory size9.7 KiB
False
4863 
True
 
3
(Missing)
 
55
ValueCountFrequency (%)
False 4863
98.8%
True 3
 
0.1%
(Missing) 55
 
1.1%
2023-12-11T06:19:10.690379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4921
Missing (%)100.0%
Memory size43.4 KiB

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4921
Missing (%)100.0%
Memory size43.4 KiB

전통업소음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4921
Missing (%)100.0%
Memory size43.4 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
0가평군삼진식품1994-09-27<NA>1영업<NA><NA>4630.7612449경기도 가평군 청평면 수리재길 3경기도 가평군 청평면 상천리 1112-4477-81437.769388127.446589식품제조가공업239258.85319474200.408882식품제조가공업00<NA><NA>000000N<NA><NA><NA>
1가평군산야초문화탐방2023-05-17<NA>1영업<NA>031 584 378770.212463경기도 가평군 설악면 한서로 595, 지하1층경기도 가평군 설악면 위곡리 2 지하1층477-85537.663294127.54897기타 식품제조가공업248366.982754462459.476613기타 식품제조가공업00<NA><NA>000000N<NA><NA><NA>
2가평군(주)더모어푸드2023-10-16<NA>1영업<NA><NA>677.012450경기도 가평군 청평면 마지기길 9-78, 1~2층경기도 가평군 청평면 하천리 235477-81637.751337127.433434기타 식품제조가공업238125.931477472164.245476기타 식품제조가공업00<NA><NA>000000N<NA><NA><NA>
3가평군주식회사 미가2018-10-29<NA>1영업<NA><NA>495.5712457경기도 가평군 청평면 남이터길 45, 제1동 1층경기도 가평군 청평면 대성리 428-31 제1동, 1층477-81237.688606127.370303기타 식품제조가공업232601.38604465201.48134기타 식품제조가공업00<NA><NA>0101300N<NA><NA><NA>
4가평군(주)안샘2023-08-09<NA>1영업<NA><NA>26.9712458경기도 가평군 청평면 북한강로 2068, 주1동 2층경기도 가평군 청평면 삼회리 188-4 주1동, 2층477-81337.700817127.395613기타 식품제조가공업234804.557299466553.184116기타 식품제조가공업00<NA><NA>000000N<NA><NA><NA>
5가평군주식회사 경주생약식품사업부2008-11-28<NA>1영업<NA>031 584 66291929.2812440경기도 가평군 상면 봉수로 40-39, 가동(1~2층일부),라동(1~3층) 총2개동경기도 가평군 상면 봉수리 98-5 (주)경주생약477-82237.850714127.286849식품제조가공업225163.852795483145.744042식품제조가공업00<NA><NA>000000N<NA><NA><NA>
6가평군가평군농업기술센터2017-04-25<NA>1영업<NA>031 580 2850157.8112408경기도 가평군 가평읍 아랫마장길 59, 농업기술센터 1동(2층), 2동(2층)경기도 가평군 가평읍 승안리 100 외 2필지, 농업기술센터 1동(2층), 2동(2층)477-80237.845967127.498647기타 식품제조가공업243869.005545482723.107531기타 식품제조가공업00<NA><NA>000000N<NA><NA><NA>
7가평군효성원주식회사2023-08-09<NA>1영업<NA><NA>119.4512473경기도 가평군 설악면 유명산길 79-28, 1층경기도 가평군 설악면 가일리 223-7 1층477-85137.593314127.489918기타 식품제조가공업243251.868162454738.616452기타 식품제조가공업00<NA><NA>000000N<NA><NA><NA>
8가평군가평나눔일터(영농조합법인덕은2공장)2023-01-10<NA>1영업<NA><NA>81.712421경기도 가평군 가평읍 자라섬로 30, 1층경기도 가평군 가평읍 대곡리 44-3 ,1층477-70237.820152127.517498기타 식품제조가공업245496.933304479860.387952기타 식품제조가공업00<NA><NA>000000N<NA><NA><NA>
9가평군주식회사솔닙2014-06-03<NA>1영업<NA>031 584 6161210.7512447경기도 가평군 상면 수목원로 5, 제1동 1층경기도 가평군 상면 임초리 420 외 1핑지, 제1동 1층477-82437.773252127.372245식품제조가공업232732.206137474580.169892식품제조가공업00<NA><NA>010000N<NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
4911화성시주식회사 가온트리20160323<NA><NA>폐업 등20180305<NA><NA><NA>경기도 화성시 향남읍 발안로 576-29, 2동경기도 화성시 향남읍 송곡리 113-2번지 2동44592137.127215126.966508<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4912화성시지천애20151022<NA><NA>폐업 등20170621<NA><NA><NA>경기도 화성시 병점동로 78, 401호 (병점동)경기도 화성시 병점동 829-1번지 401호44536037.211206127.041529<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4913화성시나해커피컴퍼니20170710<NA><NA>폐업 등20180625<NA><NA><NA>경기도 화성시 동탄공원로1길 8-8, 1층 일부호 (반송동)경기도 화성시 반송동 70-3번지 1층일부호44516037.201768127.060326<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4914화성시천연아리랑20151030<NA><NA>폐업 등20170811<NA><NA><NA>경기도 화성시 서신면 효자각로 100-17경기도 화성시 서신면 홍법리 523-3번지44588137.165673126.71732<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4915화성시청수유통20151007<NA><NA>폐업 등20180511<NA><NA><NA>경기도 화성시 안녕남로82번길 4 (안녕동)경기도 화성시 안녕동 178-35번지 A동44538037.196925126.992261<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4916화성시제이링20160926<NA><NA>폐업 등20180328<NA><NA><NA>경기도 화성시 남양읍 현대기아로 442-35경기도 화성시 남양읍 무송리 191-6번지44585237.189742126.848679<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4917화성시맘스토리20161017<NA><NA>폐업 등20180402<NA><NA><NA>경기도 화성시 남양읍 현대기아로 567경기도 화성시 남양읍 무송리 131-41번지44585237.199279126.851989<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4918화성시권명화찹쌀떡20161007<NA><NA>폐업 등20180619<NA><NA><NA>경기도 화성시 남양읍 남양로931번길 12경기도 화성시 남양읍 북양리 248-3번지44585737.219804126.831018<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4919화성시(주)제이비푸드20170417<NA><NA>폐업 등20180508<NA><NA><NA>경기도 화성시 노작로 175, 1층 108호 (반송동, 센트럴시티 오피스텔)경기도 화성시 반송동 92-3번지 108호44516037.203672127.07342<NA><NA><NA>기타 식품제조가공업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
4920<NA>(주)에이원카프2006-01-10<NA>2폐업2023-05-30043 87788681470.027642충청북도 음성군 금왕읍 금일로 362충청북도 음성군 금왕읍 쌍봉리 311-3369-90237.004747127.546869식품제조가공업248616.149733389364.319968식품제조가공업00<NA><NA>000000N<NA><NA><NA>