Overview

Dataset statistics

Number of variables22
Number of observations3149
Missing cells21985
Missing cells (%)31.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory572.1 KiB
Average record size in memory186.0 B

Variable types

Categorical7
Text5
DateTime2
Unsupported2
Numeric6

Dataset

Description식육포장 처리업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=1I2OZN2JGVV4110HT0432407231&infSeq=1

Alerts

축산업무구분명 has constant value ""Constant
축산물가공업구분명 has constant value ""Constant
영업상태구분코드 is highly imbalanced (65.0%)Imbalance
권리주체고유번호 is highly imbalanced (60.5%)Imbalance
인허가취소일자 has 3149 (100.0%) missing valuesMissing
폐업일자 has 2104 (66.8%) missing valuesMissing
소재지시설전화번호 has 2897 (92.0%) missing valuesMissing
소재지면적정보 has 2622 (83.3%) missing valuesMissing
도로명우편번호 has 2625 (83.4%) missing valuesMissing
소재지도로명주소 has 75 (2.4%) missing valuesMissing
소재지우편번호 has 36 (1.1%) missing valuesMissing
업태구분명정보 has 3149 (100.0%) missing valuesMissing
X좌표값 has 2636 (83.7%) missing valuesMissing
Y좌표값 has 2636 (83.7%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 has 303 (9.6%) zerosZeros

Reproduction

Analysis started2023-12-10 21:04:13.240405
Analysis finished2023-12-10 21:04:14.650080
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
광주시
266 
안산시
225 
용인시
 
200
성남시
 
200
남양주시
 
186
Other values (26)
2072 

Length

Max length4
Median length3
Mean length3.1003493
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주시 266
 
8.4%
안산시 225
 
7.1%
용인시 200
 
6.4%
성남시 200
 
6.4%
남양주시 186
 
5.9%
부천시 180
 
5.7%
화성시 175
 
5.6%
하남시 161
 
5.1%
고양시 139
 
4.4%
포천시 139
 
4.4%
Other values (21) 1278
40.6%

Length

2023-12-11T06:04:14.724491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광주시 266
 
8.4%
안산시 225
 
7.1%
용인시 200
 
6.4%
성남시 200
 
6.4%
남양주시 186
 
5.9%
부천시 180
 
5.7%
화성시 175
 
5.6%
하남시 161
 
5.1%
고양시 139
 
4.4%
포천시 139
 
4.4%
Other values (21) 1278
40.6%

사업장명
Text

Distinct2821
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
2023-12-11T06:04:15.050485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.5385837
Min length2

Characters and Unicode

Total characters23739
Distinct characters587
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2533 ?
Unique (%)80.4%

Sample

1st row주식회사 산과들 농업회사법인
2nd row도연식품
3rd row가평군농협하나로마트
4th row자연유통
5th row에스원푸드
ValueCountFrequency (%)
주식회사 401
 
10.0%
농업회사법인 145
 
3.6%
주 27
 
0.7%
푸드 20
 
0.5%
델리퀸 18
 
0.4%
유통 8
 
0.2%
제2공장 7
 
0.2%
food 7
 
0.2%
식품 6
 
0.1%
오리 5
 
0.1%
Other values (2898) 3364
83.9%
2023-12-11T06:04:15.635135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1757
 
7.4%
) 1294
 
5.5%
( 1285
 
5.4%
드 872
 
3.7%
862
 
3.6%
푸 821
 
3.5%
사 754
 
3.2%
회 687
 
2.9%
식 683
 
2.9%
산 407
 
1.7%
Other values (577) 14317
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19669
82.9%
Close Punctuation 1294
 
5.5%
Open Punctuation 1285
 
5.4%
Space Separator 862
 
3.6%
Uppercase Letter 347
 
1.5%
Lowercase Letter 129
 
0.5%
Other Punctuation 75
 
0.3%
Decimal Number 58
 
0.2%
Other Symbol 12
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1757
 
8.9%
드 872
 
4.4%
푸 821
 
4.2%
사 754
 
3.8%
회 687
 
3.5%
식 683
 
3.5%
산 407
 
2.1%
스 377
 
1.9%
미 367
 
1.9%
이 365
 
1.9%
Other values (516) 12579
64.0%
Uppercase Letter
ValueCountFrequency (%)
F 60
17.3%
S 53
15.3%
C 30
 
8.6%
M 24
 
6.9%
O 20
 
5.8%
B 18
 
5.2%
D 18
 
5.2%
J 14
 
4.0%
H 12
 
3.5%
Y 11
 
3.2%
Other values (12) 87
25.1%
Lowercase Letter
ValueCountFrequency (%)
o 21
16.3%
m 19
14.7%
a 19
14.7%
e 15
11.6%
p 13
10.1%
d 9
7.0%
r 5
 
3.9%
f 4
 
3.1%
t 4
 
3.1%
c 3
 
2.3%
Other values (9) 17
13.2%
Decimal Number
ValueCountFrequency (%)
2 22
37.9%
1 17
29.3%
0 10
17.2%
3 3
 
5.2%
5 3
 
5.2%
9 2
 
3.4%
4 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
& 36
48.0%
. 18
24.0%
; 12
 
16.0%
· 4
 
5.3%
/ 3
 
4.0%
, 2
 
2.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1294
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1285
100.0%
Space Separator
ValueCountFrequency (%)
862
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19681
82.9%
Common 3582
 
15.1%
Latin 476
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1757
 
8.9%
드 872
 
4.4%
푸 821
 
4.2%
사 754
 
3.8%
회 687
 
3.5%
식 683
 
3.5%
산 407
 
2.1%
스 377
 
1.9%
미 367
 
1.9%
이 365
 
1.9%
Other values (517) 12591
64.0%
Latin
ValueCountFrequency (%)
F 60
 
12.6%
S 53
 
11.1%
C 30
 
6.3%
M 24
 
5.0%
o 21
 
4.4%
O 20
 
4.2%
m 19
 
4.0%
a 19
 
4.0%
B 18
 
3.8%
D 18
 
3.8%
Other values (31) 194
40.8%
Common
ValueCountFrequency (%)
) 1294
36.1%
( 1285
35.9%
862
24.1%
& 36
 
1.0%
2 22
 
0.6%
. 18
 
0.5%
1 17
 
0.5%
; 12
 
0.3%
0 10
 
0.3%
- 6
 
0.2%
Other values (9) 20
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19669
82.9%
ASCII 4054
 
17.1%
None 16
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1757
 
8.9%
드 872
 
4.4%
푸 821
 
4.2%
사 754
 
3.8%
회 687
 
3.5%
식 683
 
3.5%
산 407
 
2.1%
스 377
 
1.9%
미 367
 
1.9%
이 365
 
1.9%
Other values (516) 12579
64.0%
ASCII
ValueCountFrequency (%)
) 1294
31.9%
( 1285
31.7%
862
21.3%
F 60
 
1.5%
S 53
 
1.3%
& 36
 
0.9%
C 30
 
0.7%
M 24
 
0.6%
2 22
 
0.5%
o 21
 
0.5%
Other values (49) 367
 
9.1%
None
ValueCountFrequency (%)
㈜ 12
75.0%
· 4
 
25.0%

인허가일자
Date

Distinct2060
Distinct (%)65.4%
Missing1
Missing (%)< 0.1%
Memory size24.7 KiB
Minimum1983-07-19 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:04:15.825897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:16.004718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3149
Missing (%)100.0%
Memory size27.8 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
<NA>
2622 
0
418 
2
 
81
4
 
16
1
 
12

Length

Max length4
Median length4
Mean length3.4979359
Min length1

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> 2622
83.3%
0 418
 
13.3%
2 81
 
2.6%
4 16
 
0.5%
1 12
 
0.4%

Length

2023-12-11T06:04:16.154222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:16.311004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2622
83.3%
0 418
 
13.3%
2 81
 
2.6%
4 16
 
0.5%
1 12
 
0.4%

영업상태명
Categorical

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
운영중
1627 
폐업 등
931 
정상
418 
폐업
 
81
휴업 등
 
64
Other values (2)
 
28

Length

Max length4
Median length3
Mean length3.1486186
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 1627
51.7%
폐업 등 931
29.6%
정상 418
 
13.3%
폐업 81
 
2.6%
휴업 등 64
 
2.0%
말소 16
 
0.5%
휴업 12
 
0.4%

Length

2023-12-11T06:04:16.441921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:16.575344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 1627
39.3%
폐업 1012
24.4%
등 995
24.0%
정상 418
 
10.1%
휴업 76
 
1.8%
말소 16
 
0.4%

폐업일자
Date

MISSING 

Distinct846
Distinct (%)81.0%
Missing2104
Missing (%)66.8%
Memory size24.7 KiB
Minimum2004-08-20 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:04:16.711795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:04:16.912962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct246
Distinct (%)97.6%
Missing2897
Missing (%)92.0%
Memory size24.7 KiB
2023-12-11T06:04:17.200233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length11.634921
Min length8

Characters and Unicode

Total characters2932
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)95.2%

Sample

1st row031-584-1377
2nd row581-1592
3rd row031-962-8727
4th row1544-8979
5th row02-512-2041
ValueCountFrequency (%)
1566-5294 2
 
0.8%
0312784800 2
 
0.8%
031-411-6296 2
 
0.8%
031-673-8100 2
 
0.8%
031-977-2240 2
 
0.8%
032-677-6004 2
 
0.8%
031-284-5460 1
 
0.4%
031-337-1391 1
 
0.4%
031-339-5440 1
 
0.4%
070-7591-1521 1
 
0.4%
Other values (236) 236
93.7%
2023-12-11T06:04:17.752865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 447
15.2%
0 416
14.2%
3 367
12.5%
1 363
12.4%
2 207
7.1%
7 203
6.9%
8 197
6.7%
5 196
6.7%
6 184
6.3%
9 182
6.2%
Other values (3) 170
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2482
84.7%
Dash Punctuation 447
 
15.2%
Other Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 416
16.8%
3 367
14.8%
1 363
14.6%
2 207
8.3%
7 203
8.2%
8 197
7.9%
5 196
7.9%
6 184
7.4%
9 182
7.3%
4 167
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 447
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2932
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 447
15.2%
0 416
14.2%
3 367
12.5%
1 363
12.4%
2 207
7.1%
7 203
6.9%
8 197
6.7%
5 196
6.7%
6 184
6.3%
9 182
6.2%
Other values (3) 170
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 447
15.2%
0 416
14.2%
3 367
12.5%
1 363
12.4%
2 207
7.1%
7 203
6.9%
8 197
6.7%
5 196
6.7%
6 184
6.3%
9 182
6.2%
Other values (3) 170
 
5.8%

소재지면적정보
Real number (ℝ)

MISSING  ZEROS 

Distinct213
Distinct (%)40.4%
Missing2622
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean1286.1984
Minimum0
Maximum140396.15
Zeros303
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T06:04:17.898869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3713.12
95-th percentile3649.5
Maximum140396.15
Range140396.15
Interquartile range (IQR)713.12

Descriptive statistics

Standard deviation7118.9731
Coefficient of variation (CV)5.5348948
Kurtosis283.64702
Mean1286.1984
Median Absolute Deviation (MAD)0
Skewness15.378482
Sum677826.58
Variance50679778
MonotonicityNot monotonic
2023-12-11T06:04:18.038448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 303
 
9.6%
330.0 4
 
0.1%
1128.0 4
 
0.1%
710.0 2
 
0.1%
646.0 2
 
0.1%
139.0 2
 
0.1%
963.0 2
 
0.1%
993.0 2
 
0.1%
22307.4 2
 
0.1%
11350.1 1
 
< 0.1%
Other values (203) 203
 
6.4%
(Missing) 2622
83.3%
ValueCountFrequency (%)
0.0 303
9.6%
14.55 1
 
< 0.1%
67.74 1
 
< 0.1%
132.0 1
 
< 0.1%
136.5 1
 
< 0.1%
138.15 1
 
< 0.1%
139.0 2
 
0.1%
154.23 1
 
< 0.1%
158.3 1
 
< 0.1%
178.75 1
 
< 0.1%
ValueCountFrequency (%)
140396.15 1
< 0.1%
50050.92 1
< 0.1%
36950.0 1
< 0.1%
27718.9 1
< 0.1%
22307.4 2
0.1%
20975.2 1
< 0.1%
14204.0 1
< 0.1%
14033.0 1
< 0.1%
11600.0 1
< 0.1%
11350.1 1
< 0.1%

도로명우편번호
Text

MISSING 

Distinct376
Distinct (%)71.8%
Missing2625
Missing (%)83.4%
Memory size24.7 KiB
2023-12-11T06:04:18.409269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0038168
Min length5

Characters and Unicode

Total characters2622
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

Unique275 ?
Unique (%)52.5%

Sample

1st row12420
2nd row12457
3rd row12422
4th row10426
5th row10442
ValueCountFrequency (%)
18516 6
 
1.1%
12729 6
 
1.1%
15301 5
 
1.0%
11184 5
 
1.0%
12798 5
 
1.0%
10882 4
 
0.8%
17389 4
 
0.8%
17533 4
 
0.8%
18523 4
 
0.8%
12728 4
 
0.8%
Other values (366) 477
91.0%
2023-12-11T06:04:18.915079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 773
29.5%
0 307
 
11.7%
2 301
 
11.5%
5 205
 
7.8%
7 196
 
7.5%
4 193
 
7.4%
3 188
 
7.2%
8 182
 
6.9%
9 143
 
5.5%
6 133
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2621
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 773
29.5%
0 307
 
11.7%
2 301
 
11.5%
5 205
 
7.8%
7 196
 
7.5%
4 193
 
7.4%
3 188
 
7.2%
8 182
 
6.9%
9 143
 
5.5%
6 133
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2622
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 773
29.5%
0 307
 
11.7%
2 301
 
11.5%
5 205
 
7.8%
7 196
 
7.5%
4 193
 
7.4%
3 188
 
7.2%
8 182
 
6.9%
9 143
 
5.5%
6 133
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2622
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 773
29.5%
0 307
 
11.7%
2 301
 
11.5%
5 205
 
7.8%
7 196
 
7.5%
4 193
 
7.4%
3 188
 
7.2%
8 182
 
6.9%
9 143
 
5.5%
6 133
 
5.1%

소재지도로명주소
Text

MISSING 

Distinct2647
Distinct (%)86.1%
Missing75
Missing (%)2.4%
Memory size24.7 KiB
2023-12-11T06:04:19.233230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length25.813598
Min length13

Characters and Unicode

Total characters79351
Distinct characters455
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2305 ?
Unique (%)75.0%

Sample

1st row경기도 가평군 가평읍 태봉두밀로 6
2nd row경기도 가평군 가평읍 석봉로 238
3rd row경기도 가평군 가평읍 가화로 120
4th row경기도 가평군 가평읍 보납로18번길 24
5th row경기도 가평군 가평읍 보납로 29
ValueCountFrequency (%)
경기도 3074
 
17.9%
광주시 264
 
1.5%
1층 235
 
1.4%
안산시 224
 
1.3%
성남시 196
 
1.1%
용인시 194
 
1.1%
남양주시 183
 
1.1%
부천시 178
 
1.0%
화성시 173
 
1.0%
하남시 157
 
0.9%
Other values (3742) 12297
71.6%
2023-12-11T06:04:19.771192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14106
 
17.8%
도 3230
 
4.1%
기 3211
 
4.0%
1 3193
 
4.0%
시 3172
 
4.0%
경 3157
 
4.0%
로 2527
 
3.2%
동 2401
 
3.0%
길 1927
 
2.4%
) 1837
 
2.3%
Other values (445) 40590
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46051
58.0%
Space Separator 14106
 
17.8%
Decimal Number 13427
 
16.9%
Close Punctuation 1837
 
2.3%
Open Punctuation 1836
 
2.3%
Dash Punctuation 1002
 
1.3%
Other Punctuation 925
 
1.2%
Uppercase Letter 146
 
0.2%
Math Symbol 12
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3230
 
7.0%
기 3211
 
7.0%
시 3172
 
6.9%
경 3157
 
6.9%
로 2527
 
5.5%
동 2401
 
5.2%
길 1927
 
4.2%
번 1317
 
2.9%
구 1134
 
2.5%
남 781
 
1.7%
Other values (401) 23194
50.4%
Uppercase Letter
ValueCountFrequency (%)
B 41
28.1%
A 31
21.2%
C 14
 
9.6%
R 7
 
4.8%
T 7
 
4.8%
E 7
 
4.8%
D 7
 
4.8%
K 6
 
4.1%
N 5
 
3.4%
S 5
 
3.4%
Other values (9) 16
 
11.0%
Decimal Number
ValueCountFrequency (%)
1 3193
23.8%
2 1833
13.7%
3 1411
10.5%
4 1217
 
9.1%
5 1143
 
8.5%
6 1027
 
7.6%
0 935
 
7.0%
7 923
 
6.9%
8 881
 
6.6%
9 864
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
b 2
25.0%
n 1
12.5%
r 1
12.5%
e 1
12.5%
w 1
12.5%
o 1
12.5%
t 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 924
99.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
14106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1837
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1836
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1002
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46051
58.0%
Common 33145
41.8%
Latin 155
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3230
 
7.0%
기 3211
 
7.0%
시 3172
 
6.9%
경 3157
 
6.9%
로 2527
 
5.5%
동 2401
 
5.2%
길 1927
 
4.2%
번 1317
 
2.9%
구 1134
 
2.5%
남 781
 
1.7%
Other values (401) 23194
50.4%
Latin
ValueCountFrequency (%)
B 41
26.5%
A 31
20.0%
C 14
 
9.0%
R 7
 
4.5%
T 7
 
4.5%
E 7
 
4.5%
D 7
 
4.5%
K 6
 
3.9%
N 5
 
3.2%
S 5
 
3.2%
Other values (17) 25
16.1%
Common
ValueCountFrequency (%)
14106
42.6%
1 3193
 
9.6%
) 1837
 
5.5%
( 1836
 
5.5%
2 1833
 
5.5%
3 1411
 
4.3%
4 1217
 
3.7%
5 1143
 
3.4%
6 1027
 
3.1%
- 1002
 
3.0%
Other values (7) 4540
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46051
58.0%
ASCII 33299
42.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14106
42.4%
1 3193
 
9.6%
) 1837
 
5.5%
( 1836
 
5.5%
2 1833
 
5.5%
3 1411
 
4.2%
4 1217
 
3.7%
5 1143
 
3.4%
6 1027
 
3.1%
- 1002
 
3.0%
Other values (33) 4694
 
14.1%
Hangul
ValueCountFrequency (%)
도 3230
 
7.0%
기 3211
 
7.0%
시 3172
 
6.9%
경 3157
 
6.9%
로 2527
 
5.5%
동 2401
 
5.2%
길 1927
 
4.2%
번 1317
 
2.9%
구 1134
 
2.5%
남 781
 
1.7%
Other values (401) 23194
50.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지지번주소
Text

Distinct2837
Distinct (%)90.1%
Missing1
Missing (%)< 0.1%
Memory size24.7 KiB
2023-12-11T06:04:20.166678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length22.621347
Min length11

Characters and Unicode

Total characters71212
Distinct characters375
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2594 ?
Unique (%)82.4%

Sample

1st row경기도 가평군 가평읍 상색리 98-1번지
2nd row경기도 가평군 가평읍 읍내리 738-2번지
3rd row경기도 가평군 가평읍 읍내리 473-7번지
4th row경기도 가평군 가평읍 읍내리 481-1번지
5th row경기도 가평군 가평읍 읍내리 433-2번지
ValueCountFrequency (%)
경기도 3148
 
20.4%
광주시 266
 
1.7%
안산시 225
 
1.5%
성남시 200
 
1.3%
용인시 200
 
1.3%
남양주시 186
 
1.2%
부천시 180
 
1.2%
화성시 175
 
1.1%
하남시 161
 
1.0%
상록구 150
 
1.0%
Other values (3679) 10555
68.3%
2023-12-11T06:04:20.839980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12798
 
18.0%
도 3267
 
4.6%
기 3246
 
4.6%
시 3222
 
4.5%
경 3153
 
4.4%
지 2883
 
4.0%
1 2683
 
3.8%
번 2576
 
3.6%
- 2566
 
3.6%
동 2421
 
3.4%
Other values (365) 32397
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42239
59.3%
Decimal Number 13336
 
18.7%
Space Separator 12798
 
18.0%
Dash Punctuation 2566
 
3.6%
Uppercase Letter 117
 
0.2%
Other Punctuation 58
 
0.1%
Close Punctuation 40
 
0.1%
Open Punctuation 39
 
0.1%
Math Symbol 11
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3267
 
7.7%
기 3246
 
7.7%
시 3222
 
7.6%
경 3153
 
7.5%
지 2883
 
6.8%
번 2576
 
6.1%
동 2421
 
5.7%
리 1257
 
3.0%
구 1094
 
2.6%
주 737
 
1.7%
Other values (319) 18383
43.5%
Uppercase Letter
ValueCountFrequency (%)
B 26
22.2%
A 25
21.4%
C 9
 
7.7%
T 9
 
7.7%
E 7
 
6.0%
R 7
 
6.0%
D 7
 
6.0%
K 5
 
4.3%
N 4
 
3.4%
I 3
 
2.6%
Other values (10) 15
12.8%
Decimal Number
ValueCountFrequency (%)
1 2683
20.1%
2 1863
14.0%
3 1544
11.6%
5 1303
9.8%
4 1299
9.7%
6 1097
8.2%
7 970
 
7.3%
0 915
 
6.9%
9 849
 
6.4%
8 813
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
t 1
16.7%
b 1
16.7%
o 1
16.7%
r 1
16.7%
e 1
16.7%
w 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 55
94.8%
. 2
 
3.4%
@ 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
= 1
 
9.1%
Space Separator
ValueCountFrequency (%)
12798
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42239
59.3%
Common 28848
40.5%
Latin 125
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3267
 
7.7%
기 3246
 
7.7%
시 3222
 
7.6%
경 3153
 
7.5%
지 2883
 
6.8%
번 2576
 
6.1%
동 2421
 
5.7%
리 1257
 
3.0%
구 1094
 
2.6%
주 737
 
1.7%
Other values (319) 18383
43.5%
Latin
ValueCountFrequency (%)
B 26
20.8%
A 25
20.0%
C 9
 
7.2%
T 9
 
7.2%
E 7
 
5.6%
R 7
 
5.6%
D 7
 
5.6%
K 5
 
4.0%
N 4
 
3.2%
I 3
 
2.4%
Other values (17) 23
18.4%
Common
ValueCountFrequency (%)
12798
44.4%
1 2683
 
9.3%
- 2566
 
8.9%
2 1863
 
6.5%
3 1544
 
5.4%
5 1303
 
4.5%
4 1299
 
4.5%
6 1097
 
3.8%
7 970
 
3.4%
0 915
 
3.2%
Other values (9) 1810
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42239
59.3%
ASCII 28971
40.7%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12798
44.2%
1 2683
 
9.3%
- 2566
 
8.9%
2 1863
 
6.4%
3 1544
 
5.3%
5 1303
 
4.5%
4 1299
 
4.5%
6 1097
 
3.8%
7 970
 
3.3%
0 915
 
3.2%
Other values (35) 1933
 
6.7%
Hangul
ValueCountFrequency (%)
도 3267
 
7.7%
기 3246
 
7.7%
시 3222
 
7.6%
경 3153
 
7.5%
지 2883
 
6.8%
번 2576
 
6.1%
동 2421
 
5.7%
리 1257
 
3.0%
구 1094
 
2.6%
주 737
 
1.7%
Other values (319) 18383
43.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct1317
Distinct (%)42.3%
Missing36
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean13937.361
Minimum10008
Maximum18633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T06:04:21.062509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10008
5-th percentile10297.6
Q111932
median13207
Q315880
95-th percentile18284
Maximum18633
Range8625
Interquartile range (IQR)3948

Descriptive statistics

Standard deviation2466.0357
Coefficient of variation (CV)0.17693706
Kurtosis-1.0963896
Mean13937.361
Median Absolute Deviation (MAD)1900
Skewness0.30079357
Sum43387006
Variance6081332.1
MonotonicityNot monotonic
2023-12-11T06:04:21.282593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11905 32
 
1.0%
12986 23
 
0.7%
17533 22
 
0.7%
11139 20
 
0.6%
13207 18
 
0.6%
13112 17
 
0.5%
12798 17
 
0.5%
11184 17
 
0.5%
12729 15
 
0.5%
16672 15
 
0.5%
Other values (1307) 2917
92.6%
(Missing) 36
 
1.1%
ValueCountFrequency (%)
10008 1
 
< 0.1%
10009 1
 
< 0.1%
10011 4
0.1%
10012 1
 
< 0.1%
10013 4
0.1%
10014 1
 
< 0.1%
10016 1
 
< 0.1%
10017 1
 
< 0.1%
10019 2
0.1%
10023 4
0.1%
ValueCountFrequency (%)
18633 2
0.1%
18630 1
 
< 0.1%
18626 3
0.1%
18625 2
0.1%
18624 3
0.1%
18614 1
 
< 0.1%
18602 1
 
< 0.1%
18595 1
 
< 0.1%
18589 2
0.1%
18585 1
 
< 0.1%

WGS84위도
Real number (ℝ)

Distinct2431
Distinct (%)77.9%
Missing27
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean37.466641
Minimum36.947274
Maximum38.076012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T06:04:21.453423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.947274
5-th percentile37.115691
Q137.300642
median37.433385
Q337.645597
95-th percentile37.839105
Maximum38.076012
Range1.1287378
Interquartile range (IQR)0.34495559

Descriptive statistics

Standard deviation0.22598548
Coefficient of variation (CV)0.0060316451
Kurtosis-0.53740864
Mean37.466641
Median Absolute Deviation (MAD)0.16010632
Skewness0.23018398
Sum116970.85
Variance0.051069438
MonotonicityNot monotonic
2023-12-11T06:04:21.648796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4046038888 12
 
0.4%
37.6499050791 11
 
0.3%
37.0736351303 9
 
0.3%
37.438418567 9
 
0.3%
37.9294900133 8
 
0.3%
37.386848116 7
 
0.2%
37.0743652006 7
 
0.2%
37.2549444194 7
 
0.2%
37.8173272317 7
 
0.2%
37.2984566271 6
 
0.2%
Other values (2421) 3039
96.5%
(Missing) 27
 
0.9%
ValueCountFrequency (%)
36.9472740867 1
< 0.1%
36.9542813332 1
< 0.1%
36.95589062 1
< 0.1%
36.9590292389 1
< 0.1%
36.9621514415 1
< 0.1%
36.9629159926 1
< 0.1%
36.9652812217 1
< 0.1%
36.9654726192 1
< 0.1%
36.9669379977 1
< 0.1%
36.9776346778 1
< 0.1%
ValueCountFrequency (%)
38.076011915 1
< 0.1%
38.0753010087 1
< 0.1%
38.0642077999 1
< 0.1%
38.0638802601 1
< 0.1%
38.0587804396 1
< 0.1%
38.0580381251 2
0.1%
38.0568244667 1
< 0.1%
38.0560447083 1
< 0.1%
38.0532401448 2
0.1%
38.0453039345 1
< 0.1%

WGS84경도
Real number (ℝ)

Distinct2431
Distinct (%)77.9%
Missing27
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean127.04902
Minimum126.55244
Maximum127.66489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T06:04:21.826254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55244
5-th percentile126.74122
Q1126.85436
median127.06555
Q3127.2008
95-th percentile127.40088
Maximum127.66489
Range1.1124445
Interquartile range (IQR)0.34644028

Descriptive statistics

Standard deviation0.21252141
Coefficient of variation (CV)0.0016727513
Kurtosis-0.53109938
Mean127.04902
Median Absolute Deviation (MAD)0.15700265
Skewness0.15271322
Sum396647.04
Variance0.045165349
MonotonicityNot monotonic
2023-12-11T06:04:22.029884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8873643633 12
 
0.4%
126.7936807093 11
 
0.3%
127.4953763477 9
 
0.3%
127.1780452538 9
 
0.3%
127.2307394274 8
 
0.3%
126.9403416953 7
 
0.2%
127.493475063 7
 
0.2%
127.4917387362 7
 
0.2%
127.1354023176 7
 
0.2%
126.9304250367 6
 
0.2%
Other values (2421) 3039
96.5%
(Missing) 27
 
0.9%
ValueCountFrequency (%)
126.5524443628 1
< 0.1%
126.5530924231 1
< 0.1%
126.5634277037 2
0.1%
126.5643424968 2
0.1%
126.5746662632 2
0.1%
126.5746884652 1
< 0.1%
126.5788103049 1
< 0.1%
126.5823341957 1
< 0.1%
126.587711822 2
0.1%
126.5877568553 1
< 0.1%
ValueCountFrequency (%)
127.6648888742 1
< 0.1%
127.6593692992 2
0.1%
127.6524637276 1
< 0.1%
127.6491019651 1
< 0.1%
127.6461256559 1
< 0.1%
127.6459893506 2
0.1%
127.6441739345 1
< 0.1%
127.643553487 1
< 0.1%
127.6419869308 1
< 0.1%
127.6392857213 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3149
Missing (%)100.0%
Memory size27.8 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct482
Distinct (%)94.0%
Missing2636
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean202337.02
Minimum161489.81
Maximum257122.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T06:04:22.230000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161489.81
5-th percentile173461.16
Q1185021.31
median199450.18
Q3218110.63
95-th percentile235323.17
Maximum257122.58
Range95632.77
Interquartile range (IQR)33089.322

Descriptive statistics

Standard deviation20213.918
Coefficient of variation (CV)0.099902223
Kurtosis-0.81157141
Mean202337.02
Median Absolute Deviation (MAD)16643.346
Skewness0.2188575
Sum1.0379889 × 108
Variance4.0860247 × 108
MonotonicityNot monotonic
2023-12-11T06:04:22.748605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198474.980776341 4
 
0.1%
217044.982167915 3
 
0.1%
184849.581244524 2
 
0.1%
243931.910375933 2
 
0.1%
217535.67278519 2
 
0.1%
214819.706476903 2
 
0.1%
195901.56769862 2
 
0.1%
174851.688442968 2
 
0.1%
173050.93841595 2
 
0.1%
177542.702980999 2
 
0.1%
Other values (472) 490
 
15.6%
(Missing) 2636
83.7%
ValueCountFrequency (%)
161489.809851017 2
0.1%
162741.431131116 1
< 0.1%
163543.833501475 1
< 0.1%
164425.633307442 1
< 0.1%
164919.576721852 1
< 0.1%
166078.16034686 1
< 0.1%
166120.095352788 1
< 0.1%
166955.959161459 1
< 0.1%
167037.089527818 1
< 0.1%
167857.088285287 1
< 0.1%
ValueCountFrequency (%)
257122.579738234 1
< 0.1%
255729.178615364 1
< 0.1%
254016.160800826 1
< 0.1%
251948.376446584 1
< 0.1%
246783.577073045 1
< 0.1%
245383.919674032 1
< 0.1%
245310.048392254 1
< 0.1%
243931.910375933 2
0.1%
243829.016338934 1
< 0.1%
243797.609789475 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct482
Distinct (%)94.0%
Missing2636
Missing (%)83.7%
Infinite0
Infinite (%)0.0%
Mean442176.83
Minimum384185.09
Maximum503416.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.8 KiB
2023-12-11T06:04:22.962490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384185.09
5-th percentile403405.65
Q1422994.27
median437873.3
Q3465982.5
95-th percentile479578.48
Maximum503416.1
Range119231.01
Interquartile range (IQR)42988.232

Descriptive statistics

Standard deviation25332.419
Coefficient of variation (CV)0.057290246
Kurtosis-0.93603425
Mean442176.83
Median Absolute Deviation (MAD)20862.317
Skewness0.043271965
Sum2.2683671 × 108
Variance6.4173146 × 108
MonotonicityNot monotonic
2023-12-11T06:04:23.174487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
405130.480956839 4
 
0.1%
449307.942535913 3
 
0.1%
428442.606219628 2
 
0.1%
397040.883736591 2
 
0.1%
434276.365028432 2
 
0.1%
447414.5645512 2
 
0.1%
428182.73191972 2
 
0.1%
475162.421325664 2
 
0.1%
466582.450850773 2
 
0.1%
457914.384295419 2
 
0.1%
Other values (472) 490
 
15.6%
(Missing) 2636
83.7%
ValueCountFrequency (%)
384185.088672152 1
< 0.1%
384630.519427839 1
< 0.1%
384889.78288061 1
< 0.1%
387063.517203872 1
< 0.1%
388461.785323904 1
< 0.1%
388506.554532355 1
< 0.1%
392393.292501436 1
< 0.1%
392721.662601899 1
< 0.1%
393087.093352327 2
0.1%
393824.436151701 1
< 0.1%
ValueCountFrequency (%)
503416.099111591 1
< 0.1%
503392.178738699 1
< 0.1%
494006.437163043 1
< 0.1%
491841.900864924 1
< 0.1%
491751.966171665 1
< 0.1%
491407.042394797 1
< 0.1%
489607.388360564 1
< 0.1%
488528.354457548 1
< 0.1%
488333.138357641 1
< 0.1%
487486.350712829 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
식육포장처리업
3149 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 3149
100.0%

Length

2023-12-11T06:04:23.384278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:23.519906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 3149
100.0%

축산물가공업구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
식육포장처리업
3149 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육포장처리업 3149
100.0%

Length

2023-12-11T06:04:23.653873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:23.785745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육포장처리업 3149
100.0%

축산고유번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
<NA>
2622 
0
527 

Length

Max length4
Median length4
Mean length3.4979359
Min length1

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> 2622
83.3%
0 527
 
16.7%

Length

2023-12-11T06:04:23.957847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:24.111267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2622
83.3%
0 527
 
16.7%

권리주체고유번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.7 KiB
<NA>
2622 
L00
399 
000
 
126
F00
 
2

Length

Max length4
Median length4
Mean length3.8326453
Min length3

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> 2622
83.3%
L00 399
 
12.7%
000 126
 
4.0%
F00 2
 
0.1%

Length

2023-12-11T06:04:24.272189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:04:24.453269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2622
83.3%
l00 399
 
12.7%
000 126
 
4.0%
f00 2
 
0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산물가공업구분명축산고유번호권리주체고유번호
0가평군주식회사 산과들 농업회사법인20180426<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 태봉두밀로 6경기도 가평군 가평읍 상색리 98-1번지1242637.802793127.485403<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
1가평군도연식품20150515<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 석봉로 238경기도 가평군 가평읍 읍내리 738-2번지1241337.836152127.508989<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
2가평군가평군농협하나로마트20101117<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 120경기도 가평군 가평읍 읍내리 473-7번지1241937.830176127.514182<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
3가평군자연유통20070112<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 보납로18번길 24경기도 가평군 가평읍 읍내리 481-1번지1241837.828923127.513057<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
4가평군에스원푸드20110321<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 보납로 29경기도 가평군 가평읍 읍내리 433-2번지1241237.831212127.513705<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
5가평군다비(주)민정20171116<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 가화로 134경기도 가평군 가평읍 읍내리 444-1번지1241237.831636127.512819<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
6가평군가평축산업협동조합유통사업본부20080415<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 달전로 19경기도 가평군 가평읍 달전리1242237.816034127.516349<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
7가평군(주)서우 농업회사법인2023-07-05<NA>0정상<NA><NA>0.012420경기도 가평군 가평읍 가화로 43, 101호경기도 가평군 가평읍 대곡리 195-3 101호1242037.823695127.515453<NA>245310.048392480251.128583식육포장처리업식육포장처리업0L00
8가평군(주)미가2018-10-29<NA>0정상<NA>031-584-13770.012457경기도 가평군 청평면 남이터길 45경기도 가평군 청평면 대성리 428-311245737.688606127.370303<NA>232601.38604465201.48134식육포장처리업식육포장처리업0L00
9가평군가평축산업협동조합유통사업본부2008-04-15<NA>0정상<NA>581-15923632.012422경기도 가평군 가평읍 달전로 19경기도 가평군 가평읍 달전리1242237.816034127.516349<NA>245383.919674479387.470913식육포장처리업식육포장처리업0L00
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값축산업무구분명축산물가공업구분명축산고유번호권리주체고유번호
3139화성시매송육가공20041229<NA><NA>폐업 등20060928<NA><NA><NA>경기도 화성시 매송면 매송고색로375번길 18경기도 화성시 매송면 천천리 193-1번지1829037.245179126.946375<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
3140화성시한일에프에스20041209<NA><NA>폐업 등20060621<NA><NA><NA>경기도 화성시 만년로969번길 17경기도 화성시 안녕동 146-123번지1836537.197015127.002706<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
3141화성시아그림축산영농조합20041224<NA><NA>폐업 등20070412<NA><NA><NA>경기도 화성시 정남면 만년로 575경기도 화성시 정남면 괘랑리 918-1번지1851637.172594126.983232<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
3142화성시(주)씨알살림축산20040830<NA><NA>폐업 등20070730<NA><NA><NA>경기도 화성시 비봉면 사곡동길 12-4경기도 화성시 비봉면 구포리 697-2번지1828337.248827126.878604<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
3143화성시(주)대광피엔비20040830<NA><NA>폐업 등20100312<NA><NA><NA><NA>경기도 화성시 동탄면 오산리 850-5번지<NA>37.190447127.084918<NA><NA><NA>식육포장처리업식육포장처리업<NA><NA>
3144화성시주식회사 한국의자랑2022-07-08<NA>1휴업<NA>031-355-20650.018269경기도 화성시 남양읍 신남로 370-17경기도 화성시 남양읍 신남리 1150-71826937.174713126.811511<NA>183169.240921408114.483724식육포장처리업식육포장처리업0L00
3145화성시(주)천지푸드2021-07-08<NA>1휴업<NA><NA>621.018284경기도 화성시 비봉면 양노남길 74-3경기도 화성시 비봉면 양노리 727-51828437.221227126.863501<NA>187819.734953413267.627648식육포장처리업식육포장처리업0L00
3146화성시(주)밥아저씨에프앤비2022-01-10<NA>1휴업<NA><NA>0.018589경기도 화성시 향남읍 서봉로 538-8경기도 화성시 향남읍 백토리 521858937.124779126.950394<NA>195516.502822402565.758933식육포장처리업식육포장처리업0L00
3147화성시주식회사 코리아바라카텁2022-06-29<NA>1휴업<NA><NA>0.018279경기도 화성시 남양읍 현대기아로 390경기도 화성시 남양읍 무송리 293-21827937.184543126.845851<NA>186233.11996409201.77111식육포장처리업식육포장처리업0L00
3148화성시(주)성보에프앤지2009-09-25<NA>1휴업<NA>031-356-29272372.0445-020경기도 화성시 시청로 341-13 (무송동)경기도 화성시 무송동 209-301827437.189259126.844481<NA>186121.008904409728.62216식육포장처리업식육포장처리업0L00