Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells51953
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory226.0 B

Variable types

Categorical10
Text4
DateTime5
Numeric6
Unsupported1

Dataset

Description축산 판매업 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=EOQ2WP2TCIFGNJHZ8N9028676839&infSeq=1

Alerts

축산업무구분명 has constant value ""Constant
영업상태명 is highly imbalanced (50.6%)Imbalance
업태구분명정보 is highly imbalanced (58.8%)Imbalance
축산물가공업구분명 is highly imbalanced (58.8%)Imbalance
권리주체고유번호 is highly imbalanced (69.1%)Imbalance
소재지도로명주소 has 583 (5.8%) missing valuesMissing
소재지우편번호 has 601 (6.0%) missing valuesMissing
위도 has 425 (4.2%) missing valuesMissing
경도 has 425 (4.2%) missing valuesMissing
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 4012 (40.1%) missing valuesMissing
휴업시작일자 has 9970 (99.7%) missing valuesMissing
휴업종료일자 has 9978 (99.8%) missing valuesMissing
재개업일자 has 9995 (> 99.9%) missing valuesMissing
소재지시설전화번호 has 4954 (49.5%) missing valuesMissing
X좌표값 has 492 (4.9%) missing valuesMissing
Y좌표값 has 492 (4.9%) missing valuesMissing
소재지면적정보 is highly skewed (γ1 = 72.68720021)Skewed
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 has 1939 (19.4%) zerosZeros

Reproduction

Analysis started2023-12-10 22:30:59.204395
Analysis finished2023-12-10 22:31:01.814900
Duration2.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
1337 
성남시
1300 
용인시
866 
부천시
814 
고양시
796 
Other values (20)
4887 

Length

Max length4
Median length3
Mean length3.0915
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수원시
2nd row부천시
3rd row동두천시
4th row성남시
5th row성남시

Common Values

ValueCountFrequency (%)
수원시 1337
13.4%
성남시 1300
13.0%
용인시 866
 
8.7%
부천시 814
 
8.1%
고양시 796
 
8.0%
안산시 597
 
6.0%
광주시 567
 
5.7%
남양주시 536
 
5.4%
시흥시 432
 
4.3%
안양시 394
 
3.9%
Other values (15) 2361
23.6%

Length

2023-12-11T07:31:01.884595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 1337
13.4%
성남시 1300
13.0%
용인시 866
 
8.7%
부천시 814
 
8.1%
고양시 796
 
8.0%
안산시 597
 
6.0%
광주시 567
 
5.7%
남양주시 536
 
5.4%
시흥시 432
 
4.3%
안양시 394
 
3.9%
Other values (15) 2361
23.6%

사업장명
Text

Distinct7921
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:31:02.127481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length7.2602
Min length2

Characters and Unicode

Total characters72602
Distinct characters828
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7219 ?
Unique (%)72.2%

Sample

1st row삼성할인마트
2nd row슈퍼정육점
3rd row신푸줏간.com
4th row(주)웨이투비
5th row미우통상
ValueCountFrequency (%)
주식회사 419
 
3.4%
개군농협 179
 
1.5%
수원축협직거래판매장 172
 
1.4%
정육점 157
 
1.3%
성남농협 134
 
1.1%
동횡성농업협동조합 113
 
0.9%
농업회사법인 102
 
0.8%
갑천농업협동조합 70
 
0.6%
수원축협 47
 
0.4%
수내역지점 47
 
0.4%
Other values (8222) 10893
88.3%
2023-12-11T07:31:02.592162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2843
 
3.9%
정 2408
 
3.3%
2338
 
3.2%
육 2185
 
3.0%
주 1935
 
2.7%
산 1713
 
2.4%
축 1652
 
2.3%
) 1609
 
2.2%
우 1602
 
2.2%
( 1588
 
2.2%
Other values (818) 52729
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65454
90.2%
Space Separator 2338
 
3.2%
Close Punctuation 1609
 
2.2%
Open Punctuation 1588
 
2.2%
Uppercase Letter 723
 
1.0%
Decimal Number 465
 
0.6%
Other Punctuation 195
 
0.3%
Lowercase Letter 177
 
0.2%
Math Symbol 22
 
< 0.1%
Dash Punctuation 18
 
< 0.1%
Other values (2) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2843
 
4.3%
정 2408
 
3.7%
육 2185
 
3.3%
주 1935
 
3.0%
산 1713
 
2.6%
축 1652
 
2.5%
우 1602
 
2.4%
농 1487
 
2.3%
트 1360
 
2.1%
협 1283
 
2.0%
Other values (743) 46986
71.8%
Uppercase Letter
ValueCountFrequency (%)
S 90
12.4%
O 69
 
9.5%
F 63
 
8.7%
G 62
 
8.6%
C 52
 
7.2%
M 48
 
6.6%
K 48
 
6.6%
D 43
 
5.9%
J 32
 
4.4%
P 25
 
3.5%
Other values (15) 191
26.4%
Lowercase Letter
ValueCountFrequency (%)
e 21
11.9%
o 18
10.2%
a 17
9.6%
t 15
 
8.5%
r 13
 
7.3%
m 12
 
6.8%
n 11
 
6.2%
d 10
 
5.6%
s 10
 
5.6%
l 10
 
5.6%
Other values (11) 40
22.6%
Decimal Number
ValueCountFrequency (%)
2 118
25.4%
1 111
23.9%
6 68
14.6%
0 66
14.2%
5 21
 
4.5%
8 21
 
4.5%
3 17
 
3.7%
4 15
 
3.2%
9 14
 
3.0%
7 14
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 128
65.6%
& 27
 
13.8%
, 20
 
10.3%
: 11
 
5.6%
· 4
 
2.1%
' 2
 
1.0%
? 1
 
0.5%
! 1
 
0.5%
/ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 17
77.3%
+ 3
 
13.6%
< 1
 
4.5%
> 1
 
4.5%
Space Separator
ValueCountFrequency (%)
2338
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1609
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65462
90.2%
Common 6236
 
8.6%
Latin 900
 
1.2%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2843
 
4.3%
정 2408
 
3.7%
육 2185
 
3.3%
주 1935
 
3.0%
산 1713
 
2.6%
축 1652
 
2.5%
우 1602
 
2.4%
농 1487
 
2.3%
트 1360
 
2.1%
협 1283
 
2.0%
Other values (740) 46994
71.8%
Latin
ValueCountFrequency (%)
S 90
 
10.0%
O 69
 
7.7%
F 63
 
7.0%
G 62
 
6.9%
C 52
 
5.8%
M 48
 
5.3%
K 48
 
5.3%
D 43
 
4.8%
J 32
 
3.6%
P 25
 
2.8%
Other values (36) 368
40.9%
Common
ValueCountFrequency (%)
2338
37.5%
) 1609
25.8%
( 1588
25.5%
. 128
 
2.1%
2 118
 
1.9%
1 111
 
1.8%
6 68
 
1.1%
0 66
 
1.1%
& 27
 
0.4%
5 21
 
0.3%
Other values (18) 162
 
2.6%
Han
ValueCountFrequency (%)
信 1
25.0%
辛 1
25.0%
豚 1
25.0%
家 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65449
90.1%
ASCII 7132
 
9.8%
None 16
 
< 0.1%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2843
 
4.3%
정 2408
 
3.7%
육 2185
 
3.3%
주 1935
 
3.0%
산 1713
 
2.6%
축 1652
 
2.5%
우 1602
 
2.4%
농 1487
 
2.3%
트 1360
 
2.1%
협 1283
 
2.0%
Other values (738) 46981
71.8%
ASCII
ValueCountFrequency (%)
2338
32.8%
) 1609
22.6%
( 1588
22.3%
. 128
 
1.8%
2 118
 
1.7%
1 111
 
1.6%
S 90
 
1.3%
O 69
 
1.0%
6 68
 
1.0%
0 66
 
0.9%
Other values (63) 947
13.3%
None
ValueCountFrequency (%)
㈜ 12
75.0%
· 4
 
25.0%
CJK
ValueCountFrequency (%)
信 1
25.0%
辛 1
25.0%
豚 1
25.0%
家 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

인허가일자
Date

Distinct5411
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1966-10-10 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T07:31:02.771612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:02.960545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지도로명주소
Text

MISSING 

Distinct8003
Distinct (%)85.0%
Missing583
Missing (%)5.8%
Memory size156.2 KiB
2023-12-11T07:31:03.299357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length54
Mean length29.191568
Min length15

Characters and Unicode

Total characters274897
Distinct characters628
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7578 ?
Unique (%)80.5%

Sample

1st row경기도 수원시 장안구 파장로82번길 6 (파장동)
2nd row경기도 부천시 오정로244번길 23 (오정동)
3rd row경기도 동두천시 중앙로 221 (생연동)
4th row경기도 성남시 분당구 정자일로 23, 103호 (금곡동)
5th row경기도 성남시 분당구 느티로77번길 25 (정자동)
ValueCountFrequency (%)
경기도 9417
 
16.2%
수원시 1281
 
2.2%
성남시 1273
 
2.2%
용인시 816
 
1.4%
1층 747
 
1.3%
부천시 743
 
1.3%
고양시 738
 
1.3%
분당구 632
 
1.1%
팔달구 626
 
1.1%
안산시 579
 
1.0%
Other values (9108) 41411
71.1%
2023-12-11T07:31:03.767505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48860
 
17.8%
기 10014
 
3.6%
시 9964
 
3.6%
1 9959
 
3.6%
경 9891
 
3.6%
도 9880
 
3.6%
동 9697
 
3.5%
로 8740
 
3.2%
) 8306
 
3.0%
( 8305
 
3.0%
Other values (618) 141281
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160666
58.4%
Space Separator 48860
 
17.8%
Decimal Number 39720
 
14.4%
Close Punctuation 8306
 
3.0%
Open Punctuation 8305
 
3.0%
Other Punctuation 6570
 
2.4%
Dash Punctuation 1969
 
0.7%
Uppercase Letter 427
 
0.2%
Math Symbol 36
 
< 0.1%
Lowercase Letter 30
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 10014
 
6.2%
시 9964
 
6.2%
경 9891
 
6.2%
도 9880
 
6.1%
동 9697
 
6.0%
로 8740
 
5.4%
구 5619
 
3.5%
길 4597
 
2.9%
번 3654
 
2.3%
원 3193
 
2.0%
Other values (556) 85417
53.2%
Uppercase Letter
ValueCountFrequency (%)
B 166
38.9%
A 75
17.6%
C 28
 
6.6%
G 18
 
4.2%
S 17
 
4.0%
E 14
 
3.3%
I 14
 
3.3%
L 14
 
3.3%
R 11
 
2.6%
D 10
 
2.3%
Other values (13) 60
 
14.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.0%
a 5
16.7%
b 4
13.3%
m 3
10.0%
n 3
10.0%
k 2
 
6.7%
y 1
 
3.3%
f 1
 
3.3%
s 1
 
3.3%
i 1
 
3.3%
Other values (3) 3
10.0%
Decimal Number
ValueCountFrequency (%)
1 9959
25.1%
2 5701
14.4%
3 4092
10.3%
0 3467
 
8.7%
4 3249
 
8.2%
7 2990
 
7.5%
5 2869
 
7.2%
6 2690
 
6.8%
9 2471
 
6.2%
8 2232
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 4612
70.2%
* 1918
29.2%
@ 17
 
0.3%
. 13
 
0.2%
/ 4
 
0.1%
& 4
 
0.1%
# 1
 
< 0.1%
; 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
ⓐ 1
50.0%
Space Separator
ValueCountFrequency (%)
48860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1969
100.0%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160659
58.4%
Common 113767
41.4%
Latin 463
 
0.2%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 10014
 
6.2%
시 9964
 
6.2%
경 9891
 
6.2%
도 9880
 
6.1%
동 9697
 
6.0%
로 8740
 
5.4%
구 5619
 
3.5%
길 4597
 
2.9%
번 3654
 
2.3%
원 3193
 
2.0%
Other values (556) 85410
53.2%
Latin
ValueCountFrequency (%)
B 166
35.9%
A 75
16.2%
C 28
 
6.0%
G 18
 
3.9%
S 17
 
3.7%
E 14
 
3.0%
I 14
 
3.0%
L 14
 
3.0%
R 11
 
2.4%
D 10
 
2.2%
Other values (27) 96
20.7%
Common
ValueCountFrequency (%)
48860
42.9%
1 9959
 
8.8%
) 8306
 
7.3%
( 8305
 
7.3%
2 5701
 
5.0%
, 4612
 
4.1%
3 4092
 
3.6%
0 3467
 
3.0%
4 3249
 
2.9%
7 2990
 
2.6%
Other values (14) 14226
 
12.5%
Han
ValueCountFrequency (%)
內 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160658
58.4%
ASCII 114223
41.6%
CJK 8
 
< 0.1%
Number Forms 6
 
< 0.1%
None 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48860
42.8%
1 9959
 
8.7%
) 8306
 
7.3%
( 8305
 
7.3%
2 5701
 
5.0%
, 4612
 
4.0%
3 4092
 
3.6%
0 3467
 
3.0%
4 3249
 
2.8%
7 2990
 
2.6%
Other values (49) 14682
 
12.9%
Hangul
ValueCountFrequency (%)
기 10014
 
6.2%
시 9964
 
6.2%
경 9891
 
6.2%
도 9880
 
6.1%
동 9697
 
6.0%
로 8740
 
5.4%
구 5619
 
3.5%
길 4597
 
2.9%
번 3654
 
2.3%
원 3193
 
2.0%
Other values (555) 85409
53.2%
CJK
ValueCountFrequency (%)
內 8
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

소재지지번주소
Text

Distinct8490
Distinct (%)85.1%
Missing21
Missing (%)0.2%
Memory size156.2 KiB
2023-12-11T07:31:04.100295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length24.311053
Min length10

Characters and Unicode

Total characters242600
Distinct characters567
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8018 ?
Unique (%)80.3%

Sample

1st row경기도 수원시 장안구 파장동 580-9
2nd row경기도 부천시 오정동 554-24번지
3rd row경기도 동두천시 생연동 689-18번지
4th row경기도 성남시 분당구 금곡동 207번지 103호
5th row경기도 성남시 분당구 정자동 70-7
ValueCountFrequency (%)
경기도 9979
 
19.1%
수원시 1337
 
2.6%
성남시 1300
 
2.5%
용인시 866
 
1.7%
부천시 814
 
1.6%
고양시 785
 
1.5%
분당구 639
 
1.2%
팔달구 637
 
1.2%
안산시 597
 
1.1%
광주시 567
 
1.1%
Other values (9751) 34815
66.5%
2023-12-11T07:31:04.653406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46254
19.1%
기 10465
 
4.3%
시 10364
 
4.3%
도 10323
 
4.3%
1 10259
 
4.2%
경 10080
 
4.2%
동 9633
 
4.0%
지 7833
 
3.2%
- 7613
 
3.1%
번 6464
 
2.7%
Other values (557) 113312
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142320
58.7%
Space Separator 46254
 
19.1%
Decimal Number 43677
 
18.0%
Dash Punctuation 7613
 
3.1%
Other Punctuation 1954
 
0.8%
Uppercase Letter 401
 
0.2%
Open Punctuation 167
 
0.1%
Close Punctuation 167
 
0.1%
Lowercase Letter 20
 
< 0.1%
Math Symbol 19
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 10465
 
7.4%
시 10364
 
7.3%
도 10323
 
7.3%
경 10080
 
7.1%
동 9633
 
6.8%
지 7833
 
5.5%
번 6464
 
4.5%
구 5694
 
4.0%
양 2914
 
2.0%
원 2541
 
1.8%
Other values (499) 66009
46.4%
Uppercase Letter
ValueCountFrequency (%)
B 135
33.7%
A 90
22.4%
C 23
 
5.7%
L 21
 
5.2%
G 19
 
4.7%
T 17
 
4.2%
S 16
 
4.0%
I 15
 
3.7%
P 11
 
2.7%
K 9
 
2.2%
Other values (11) 45
 
11.2%
Lowercase Letter
ValueCountFrequency (%)
n 3
15.0%
a 3
15.0%
e 3
15.0%
p 2
10.0%
o 2
10.0%
k 2
10.0%
b 1
 
5.0%
y 1
 
5.0%
m 1
 
5.0%
h 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 10259
23.5%
2 5610
12.8%
4 4470
10.2%
3 4310
9.9%
5 3872
 
8.9%
0 3668
 
8.4%
6 3234
 
7.4%
7 3100
 
7.1%
8 2656
 
6.1%
9 2498
 
5.7%
Other Punctuation
ValueCountFrequency (%)
* 1746
89.4%
, 147
 
7.5%
@ 29
 
1.5%
. 19
 
1.0%
/ 6
 
0.3%
& 4
 
0.2%
· 1
 
0.1%
# 1
 
0.1%
; 1
 
0.1%
Space Separator
ValueCountFrequency (%)
46254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7613
100.0%
Open Punctuation
ValueCountFrequency (%)
( 167
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142313
58.7%
Common 99853
41.2%
Latin 427
 
0.2%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 10465
 
7.4%
시 10364
 
7.3%
도 10323
 
7.3%
경 10080
 
7.1%
동 9633
 
6.8%
지 7833
 
5.5%
번 6464
 
4.5%
구 5694
 
4.0%
양 2914
 
2.0%
원 2541
 
1.8%
Other values (498) 66002
46.4%
Latin
ValueCountFrequency (%)
B 135
31.6%
A 90
21.1%
C 23
 
5.4%
L 21
 
4.9%
G 19
 
4.4%
T 17
 
4.0%
S 16
 
3.7%
I 15
 
3.5%
P 11
 
2.6%
K 9
 
2.1%
Other values (23) 71
16.6%
Common
ValueCountFrequency (%)
46254
46.3%
1 10259
 
10.3%
- 7613
 
7.6%
2 5610
 
5.6%
4 4470
 
4.5%
3 4310
 
4.3%
5 3872
 
3.9%
0 3668
 
3.7%
6 3234
 
3.2%
7 3100
 
3.1%
Other values (15) 7463
 
7.5%
Han
ValueCountFrequency (%)
內 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142313
58.7%
ASCII 100271
41.3%
CJK 7
 
< 0.1%
Number Forms 6
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46254
46.1%
1 10259
 
10.2%
- 7613
 
7.6%
2 5610
 
5.6%
4 4470
 
4.5%
3 4310
 
4.3%
5 3872
 
3.9%
0 3668
 
3.7%
6 3234
 
3.2%
7 3100
 
3.1%
Other values (45) 7881
 
7.9%
Hangul
ValueCountFrequency (%)
기 10465
 
7.4%
시 10364
 
7.3%
도 10323
 
7.3%
경 10080
 
7.1%
동 9633
 
6.8%
지 7833
 
5.5%
번 6464
 
4.5%
구 5694
 
4.0%
양 2914
 
2.0%
원 2541
 
1.8%
Other values (498) 66002
46.4%
CJK
ValueCountFrequency (%)
內 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct2936
Distinct (%)31.2%
Missing601
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean14071.871
Minimum10011
Maximum18151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:31:04.828263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10301
Q112452
median14089
Q316240
95-th percentile17113
Maximum18151
Range8140
Interquartile range (IQR)3788

Descriptive statistics

Standard deviation2171.0561
Coefficient of variation (CV)0.15428339
Kurtosis-1.005904
Mean14071.871
Median Absolute Deviation (MAD)1863
Skewness-0.14435202
Sum1.3226152 × 108
Variance4713484.4
MonotonicityNot monotonic
2023-12-11T07:31:04.994072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16488 395
 
4.0%
13595 131
 
1.3%
13610 125
 
1.2%
13327 80
 
0.8%
13591 51
 
0.5%
12776 42
 
0.4%
17113 35
 
0.4%
13627 33
 
0.3%
13612 33
 
0.3%
13355 32
 
0.3%
Other values (2926) 8442
84.4%
(Missing) 601
 
6.0%
ValueCountFrequency (%)
10011 1
 
< 0.1%
10012 2
 
< 0.1%
10013 8
0.1%
10014 1
 
< 0.1%
10016 3
 
< 0.1%
10017 1
 
< 0.1%
10018 9
0.1%
10019 4
< 0.1%
10020 1
 
< 0.1%
10022 1
 
< 0.1%
ValueCountFrequency (%)
18151 1
 
< 0.1%
18150 4
< 0.1%
18149 3
< 0.1%
18148 1
 
< 0.1%
18147 3
< 0.1%
18146 6
0.1%
18145 2
 
< 0.1%
18144 1
 
< 0.1%
18141 2
 
< 0.1%
18140 1
 
< 0.1%

위도
Real number (ℝ)

MISSING 

Distinct7567
Distinct (%)79.0%
Missing425
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean37.438408
Minimum36.932449
Maximum38.184302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:31:05.145187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.932449
5-th percentile37.224598
Q137.303939
median37.401196
Q337.586187
95-th percentile37.745388
Maximum38.184302
Range1.2518524
Interquartile range (IQR)0.28224798

Descriptive statistics

Standard deviation0.18025537
Coefficient of variation (CV)0.0048147177
Kurtosis0.15544358
Mean37.438408
Median Absolute Deviation (MAD)0.10930809
Skewness0.50489395
Sum358472.76
Variance0.032491997
MonotonicityNot monotonic
2023-12-11T07:31:05.290506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2620194717 373
 
3.7%
37.3773056 92
 
0.9%
37.3687284 87
 
0.9%
37.4412736 63
 
0.6%
37.3834792 41
 
0.4%
37.2880403344 29
 
0.3%
37.3625648 29
 
0.3%
37.3496463 27
 
0.3%
37.2226091 24
 
0.2%
37.2761398324 23
 
0.2%
Other values (7557) 8787
87.9%
(Missing) 425
 
4.2%
ValueCountFrequency (%)
36.9324492 1
< 0.1%
36.9433037262 1
< 0.1%
36.949498937 1
< 0.1%
36.9530566 1
< 0.1%
36.9601279202 1
< 0.1%
36.9608439879 1
< 0.1%
36.9631983389 1
< 0.1%
36.9680334123 1
< 0.1%
36.976167 1
< 0.1%
36.9782715549 1
< 0.1%
ValueCountFrequency (%)
38.1843016157 1
< 0.1%
38.109938 1
< 0.1%
38.0996051 1
< 0.1%
38.0991908 2
< 0.1%
38.0912209 1
< 0.1%
38.0851391 1
< 0.1%
38.0720624811 1
< 0.1%
38.0566443 1
< 0.1%
38.0371496552 1
< 0.1%
38.0354531 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct7567
Distinct (%)79.0%
Missing425
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean127.01808
Minimum126.52871
Maximum127.75581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:31:05.459811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52871
5-th percentile126.75038
Q1126.84673
median127.03265
Q3127.13438
95-th percentile127.32062
Maximum127.75581
Range1.2271058
Interquartile range (IQR)0.28765275

Descriptive statistics

Standard deviation0.19420262
Coefficient of variation (CV)0.0015289368
Kurtosis0.37979555
Mean127.01808
Median Absolute Deviation (MAD)0.13127554
Skewness0.42435257
Sum1216198.1
Variance0.037714658
MonotonicityNot monotonic
2023-12-11T07:31:05.631942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0326496721 373
 
3.7%
127.1131887 92
 
0.9%
127.1127132 87
 
0.9%
127.1342326 63
 
0.6%
127.1208193 41
 
0.4%
127.1134606 29
 
0.3%
127.0141562321 29
 
0.3%
127.1112408 27
 
0.3%
127.0914989 24
 
0.2%
126.983833709 23
 
0.2%
Other values (7557) 8787
87.9%
(Missing) 425
 
4.2%
ValueCountFrequency (%)
126.5287054 1
< 0.1%
126.5410165688 1
< 0.1%
126.5464524 1
< 0.1%
126.5488737 1
< 0.1%
126.5528197 1
< 0.1%
126.5536461 1
< 0.1%
126.5541451 2
< 0.1%
126.5566487 1
< 0.1%
126.5597597 1
< 0.1%
126.5609244 1
< 0.1%
ValueCountFrequency (%)
127.7558112 1
< 0.1%
127.754486695 1
< 0.1%
127.7538307892 1
< 0.1%
127.7531774 1
< 0.1%
127.7490911771 1
< 0.1%
127.7437092924 1
< 0.1%
127.7095709 1
< 0.1%
127.7095117 1
< 0.1%
127.7088950983 1
< 0.1%
127.7080125 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

통합영업상태구분코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
5693 
1
3737 
4
 
536
2
 
23
5
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 5693
56.9%
1 3737
37.4%
4 536
 
5.4%
2 23
 
0.2%
5 11
 
0.1%

Length

2023-12-11T07:31:05.760728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:06.079797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 5693
56.9%
1 3737
37.4%
4 536
 
5.4%
2 23
 
0.2%
5 11
 
0.1%

통합영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5693 
영업/정상
3737 
취소/말소/만료/정지/중지
 
536
휴업
 
23
제외/삭제/전출
 
11

Length

Max length14
Median length2
Mean length3.7709
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 5693
56.9%
영업/정상 3737
37.4%
취소/말소/만료/정지/중지 536
 
5.4%
휴업 23
 
0.2%
제외/삭제/전출 11
 
0.1%

Length

2023-12-11T07:31:06.215085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:06.324841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5693
56.9%
영업/정상 3737
37.4%
취소/말소/만료/정지/중지 536
 
5.4%
휴업 23
 
0.2%
제외/삭제/전출 11
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
5693 
정상
3737 
말소
 
481
행정처분
 
55
휴업
 
23

Length

Max length4
Median length2
Mean length2.0132
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row정상
4th row정상
5th row정상

Common Values

ValueCountFrequency (%)
폐업 5693
56.9%
정상 3737
37.4%
말소 481
 
4.8%
행정처분 55
 
0.5%
휴업 23
 
0.2%
전출폐업 11
 
0.1%

Length

2023-12-11T07:31:06.441953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:06.566907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5693
56.9%
정상 3737
37.4%
말소 481
 
4.8%
행정처분 55
 
0.5%
휴업 23
 
0.2%
전출폐업 11
 
0.1%

폐업일자
Date

MISSING 

Distinct3453
Distinct (%)57.7%
Missing4012
Missing (%)40.1%
Memory size156.2 KiB
Minimum1998-07-06 00:00:00
Maximum2023-11-30 00:00:00
2023-12-11T07:31:06.706813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:06.843957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct30
Distinct (%)100.0%
Missing9970
Missing (%)99.7%
Memory size156.2 KiB
Minimum2003-02-05 00:00:00
Maximum2023-11-09 00:00:00
2023-12-11T07:31:06.974947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:07.116684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

휴업종료일자
Date

MISSING 

Distinct22
Distinct (%)100.0%
Missing9978
Missing (%)99.8%
Memory size156.2 KiB
Minimum2006-06-07 00:00:00
Maximum2025-04-08 00:00:00
2023-12-11T07:31:07.238365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:07.334482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

재개업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing9995
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2002-06-05 00:00:00
Maximum2022-03-08 00:00:00
2023-12-11T07:31:07.425992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:07.529428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

소재지시설전화번호
Text

MISSING 

Distinct4536
Distinct (%)89.9%
Missing4954
Missing (%)49.5%
Memory size156.2 KiB
2023-12-11T07:31:07.707460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length10.253072
Min length1

Characters and Unicode

Total characters51737
Distinct characters18
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4402 ?
Unique (%)87.2%

Sample

1st row864-1104
2nd row719-4137
3rd row883-4061
4th row031-848-0848
5th row574-6052
ValueCountFrequency (%)
031-717-0367 68
 
1.3%
031-713-0300 65
 
1.3%
031-772-0333 49
 
1.0%
031-230-4000 37
 
0.7%
230-4000 23
 
0.5%
220-8600 20
 
0.4%
0312304000 19
 
0.4%
02-2613-0581 19
 
0.4%
033-345-9007 14
 
0.3%
031-220-8600 12
 
0.2%
Other values (4547) 4764
93.6%
2023-12-11T07:31:08.038722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 7583
14.7%
0 6770
13.1%
3 6405
12.4%
1 5408
10.5%
2 4462
8.6%
7 4097
7.9%
5 3623
7.0%
8 3443
6.7%
4 3419
6.6%
6 3414
6.6%
Other values (8) 3113
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44052
85.1%
Dash Punctuation 7583
 
14.7%
Space Separator 44
 
0.1%
Close Punctuation 33
 
0.1%
Other Punctuation 17
 
< 0.1%
Math Symbol 7
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6770
15.4%
3 6405
14.5%
1 5408
12.3%
2 4462
10.1%
7 4097
9.3%
5 3623
8.2%
8 3443
7.8%
4 3419
7.8%
6 3414
7.7%
9 3011
6.8%
Other Punctuation
ValueCountFrequency (%)
, 13
76.5%
/ 3
 
17.6%
. 1
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 7583
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51737
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 7583
14.7%
0 6770
13.1%
3 6405
12.4%
1 5408
10.5%
2 4462
8.6%
7 4097
7.9%
5 3623
7.0%
8 3443
6.7%
4 3419
6.6%
6 3414
6.6%
Other values (8) 3113
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 7583
14.7%
0 6770
13.1%
3 6405
12.4%
1 5408
10.5%
2 4462
8.6%
7 4097
7.9%
5 3623
7.0%
8 3443
6.7%
4 3419
6.6%
6 3414
6.6%
Other values (8) 3113
6.0%

소재지면적정보
Real number (ℝ)

SKEWED  ZEROS 

Distinct3409
Distinct (%)34.1%
Missing5
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean149.22329
Minimum0
Maximum398720
Zeros1939
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:31:08.186920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.69
median23
Q346.24
95-th percentile199.009
Maximum398720
Range398720
Interquartile range (IQR)38.55

Descriptive statistics

Standard deviation4591.6094
Coefficient of variation (CV)30.770058
Kurtosis5923.6298
Mean149.22329
Median Absolute Deviation (MAD)18.5
Skewness72.6872
Sum1491486.8
Variance21082877
MonotonicityNot monotonic
2023-12-11T07:31:08.357858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1939
 
19.4%
20.0 233
 
2.3%
1.0 196
 
2.0%
10.0 132
 
1.3%
12.0 131
 
1.3%
30.0 105
 
1.1%
33.0 105
 
1.1%
14.4 87
 
0.9%
15.0 76
 
0.8%
25.0 64
 
0.6%
Other values (3399) 6927
69.3%
ValueCountFrequency (%)
0.0 1939
19.4%
0.99 1
 
< 0.1%
1.0 196
 
2.0%
1.11 1
 
< 0.1%
1.21 1
 
< 0.1%
1.43 1
 
< 0.1%
1.5 1
 
< 0.1%
2.0 5
 
0.1%
2.05 1
 
< 0.1%
2.25 1
 
< 0.1%
ValueCountFrequency (%)
398720.0 1
< 0.1%
173329.0 1
< 0.1%
112034.0 1
< 0.1%
58107.81 1
< 0.1%
48727.0 1
< 0.1%
29376.0 1
< 0.1%
29064.0 1
< 0.1%
27279.42 1
< 0.1%
26094.0 1
< 0.1%
7281.47 1
< 0.1%

업태구분명정보
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식육판매업
8108 
축산물유통전문판매업
 
710
우유류판매업
 
700
식용란수집판매업
 
273
축산물수입판매업
 
121

Length

Max length10
Median length5
Mean length5.5872
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 8108
81.1%
축산물유통전문판매업 710
 
7.1%
우유류판매업 700
 
7.0%
식용란수집판매업 273
 
2.7%
축산물수입판매업 121
 
1.2%
식육부산물전문판매업 88
 
0.9%

Length

2023-12-11T07:31:08.556476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:08.678200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 8108
81.1%
축산물유통전문판매업 710
 
7.1%
우유류판매업 700
 
7.0%
식용란수집판매업 273
 
2.7%
축산물수입판매업 121
 
1.2%
식육부산물전문판매업 88
 
0.9%

X좌표값
Real number (ℝ)

MISSING 

Distinct7291
Distinct (%)76.7%
Missing492
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean201497.9
Minimum158389.29
Maximum266817.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:31:08.876665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158389.29
5-th percentile177954.78
Q1186375.39
median202833.77
Q3211814.97
95-th percentile227744.67
Maximum266817.76
Range108428.47
Interquartile range (IQR)25439.581

Descriptive statistics

Standard deviation16930.865
Coefficient of variation (CV)0.084025021
Kurtosis0.33379421
Mean201497.9
Median Absolute Deviation (MAD)11488.95
Skewness0.37885111
Sum1.915842 × 109
Variance2.866542 × 108
MonotonicityNot monotonic
2023-12-11T07:31:09.026208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202833.769989927 377
 
3.8%
209960.145649314 121
 
1.2%
209919.125 121
 
1.2%
211814.973712183 79
 
0.8%
210635.619793879 41
 
0.4%
208054.41288066 38
 
0.4%
211388.480709308 34
 
0.3%
201188.657532799 29
 
0.3%
209985.371382812 29
 
0.3%
209790.643476024 27
 
0.3%
Other values (7281) 8612
86.1%
(Missing) 492
 
4.9%
ValueCountFrequency (%)
158389.289128498 1
< 0.1%
159441.270424927 1
< 0.1%
159906.935214797 1
< 0.1%
160121.776871227 1
< 0.1%
160505.128456549 1
< 0.1%
160551.297889408 1
< 0.1%
160579.054690571 1
< 0.1%
160585.966313888 2
< 0.1%
160843.378912804 1
< 0.1%
161090.0 1
< 0.1%
ValueCountFrequency (%)
266817.756499423 1
< 0.1%
266656.087028067 1
< 0.1%
266614.718768923 1
< 0.1%
266609.899705601 1
< 0.1%
266104.864787012 1
< 0.1%
265786.322921431 1
< 0.1%
262634.99747484 1
< 0.1%
262630.798991248 1
< 0.1%
262573.063392095 1
< 0.1%
262498.463224067 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct7292
Distinct (%)76.7%
Missing492
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean437271.08
Minimum381254
Maximum520159.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:31:09.192586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381254
5-th percentile413446.39
Q1422344.44
median433188.76
Q3453624.45
95-th percentile471363.11
Maximum520159.23
Range138905.23
Interquartile range (IQR)31280.011

Descriptive statistics

Standard deviation19980.05
Coefficient of variation (CV)0.045692595
Kurtosis0.16835548
Mean437271.08
Median Absolute Deviation (MAD)12143.79
Skewness0.50971244
Sum4.1575734 × 109
Variance3.9920241 × 108
MonotonicityNot monotonic
2023-12-11T07:31:09.372447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
417779.201471615 377
 
3.8%
430596.868672123 121
 
1.2%
429643.019999999 121
 
1.2%
437697.915836139 79
 
0.8%
431281.359324856 41
 
0.4%
413426.056657928 38
 
0.4%
436792.365438246 34
 
0.3%
420679.729481725 29
 
0.3%
428960.373117073 29
 
0.3%
427524.548213768 27
 
0.3%
Other values (7282) 8612
86.1%
(Missing) 492
 
4.9%
ValueCountFrequency (%)
381254.0 1
< 0.1%
381330.970669804 1
< 0.1%
382445.272004504 1
< 0.1%
383160.261098039 1
< 0.1%
383533.805758803 1
< 0.1%
383586.679085012 1
< 0.1%
384327.955994584 1
< 0.1%
384415.935940828 1
< 0.1%
384654.981039235 1
< 0.1%
385207.159525049 1
< 0.1%
ValueCountFrequency (%)
520159.232526603 1
< 0.1%
511910.269177296 1
< 0.1%
510763.538199188 1
< 0.1%
510714.049825167 2
< 0.1%
509833.931108718 1
< 0.1%
509153.98301399 1
< 0.1%
508837.491771171 1
< 0.1%
507694.708478587 1
< 0.1%
505992.420930942 1
< 0.1%
503651.0 1
< 0.1%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
축산물판매업
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물판매업 10000
100.0%

Length

2023-12-11T07:31:09.538358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:09.628358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물판매업 10000
100.0%

축산물가공업구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식육판매업
8108 
축산물유통전문판매업
 
710
우유류판매업
 
700
식용란수집판매업
 
273
축산물수입판매업
 
121

Length

Max length10
Median length5
Mean length5.5872
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 8108
81.1%
축산물유통전문판매업 710
 
7.1%
우유류판매업 700
 
7.0%
식용란수집판매업 273
 
2.7%
축산물수입판매업 121
 
1.2%
식육부산물전문판매업 88
 
0.9%

Length

2023-12-11T07:31:09.735761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:09.857569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 8108
81.1%
축산물유통전문판매업 710
 
7.1%
우유류판매업 700
 
7.0%
식용란수집판매업 273
 
2.7%
축산물수입판매업 121
 
1.2%
식육부산물전문판매업 88
 
0.9%

축산고유번호
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8411 
0
1589 

Length

Max length4
Median length4
Mean length3.5233
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> 8411
84.1%
0 1589
 
15.9%

Length

2023-12-11T07:31:10.008197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:10.101367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8411
84.1%
0 1589
 
15.9%

권리주체고유번호
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
000
6847 
L00
3127 
F00
 
15
010
 
6
100
 
2
Other values (3)
 
3

Length

Max length4
Median length3
Mean length3.0001
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row000
2nd row000
3rd row000
4th rowL00
5th row000

Common Values

ValueCountFrequency (%)
000 6847
68.5%
L00 3127
31.3%
F00 15
 
0.1%
010 6
 
0.1%
100 2
 
< 0.1%
<NA> 1
 
< 0.1%
O00 1
 
< 0.1%
L01 1
 
< 0.1%

Length

2023-12-11T07:31:10.196376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:10.336787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 6847
68.5%
l00 3127
31.3%
f00 15
 
0.1%
010 6
 
0.1%
100 2
 
< 0.1%
na 1
 
< 0.1%
o00 1
 
< 0.1%
l01 1
 
< 0.1%

총종업원수
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
8411 
0
1589 

Length

Max length4
Median length4
Mean length3.5233
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> 8411
84.1%
0 1589
 
15.9%

Length

2023-12-11T07:31:10.477727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:10.567399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8411
84.1%
0 1589
 
15.9%

Sample

시군명사업장명인허가일자소재지도로명주소소재지지번주소소재지우편번호위도경도인허가취소일자통합영업상태구분코드통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보업태구분명정보X좌표값Y좌표값축산업무구분명축산물가공업구분명축산고유번호권리주체고유번호총종업원수
21587수원시삼성할인마트20090421경기도 수원시 장안구 파장로82번길 6 (파장동)경기도 수원시 장안구 파장동 580-91634937.306706126.992269<NA>3폐업폐업20140523<NA><NA><NA><NA>31.9식육판매업199244.575178422743.22558축산물판매업식육판매업<NA>000<NA>
12863부천시슈퍼정육점19810522경기도 부천시 오정로244번길 23 (오정동)경기도 부천시 오정동 554-24번지1443637.528455126.786881<NA>3폐업폐업20121017<NA><NA><NA><NA>20.0식육판매업181097.029931447388.679848축산물판매업식육판매업<NA>000<NA>
11266동두천시신푸줏간.com19980630경기도 동두천시 중앙로 221 (생연동)경기도 동두천시 생연동 689-18번지1133237.901271127.052625<NA>1영업/정상정상<NA><NA><NA><NA>864-110456.0식육판매업204565.191654488747.247726축산물판매업식육판매업<NA>000<NA>
14597성남시(주)웨이투비20180809경기도 성남시 분당구 정자일로 23, 103호 (금곡동)경기도 성남시 분당구 금곡동 207번지 103호1361637.352039127.105635<NA>1영업/정상정상<NA><NA><NA><NA><NA>46.31식육판매업209293.569401427790.90948축산물판매업식육판매업<NA>L00<NA>
17017성남시미우통상20020311경기도 성남시 분당구 느티로77번길 25 (정자동)경기도 성남시 분당구 정자동 70-71361037.370792127.113055<NA>1영업/정상정상<NA><NA><NA><NA>719-41370.0식육판매업209945.549249429862.433105축산물판매업식육판매업<NA>000<NA>
32680여주시우리정육점20030325경기도 여주시 가남읍 태평로 53 (태평리)경기도 여주시 가남읍 태평리 171-6번지1266237.204586127.543568<NA>3폐업폐업20080429<NA><NA><NA>883-406121.6식육판매업248188.415839411557.314831축산물판매업식육판매업<NA>000<NA>
11852부천시그린팜에프앤씨20190325경기도 부천시 길주로**번길 **, 세진프라자 ***호 일부 (상동)경기도 부천시 상동 ***-** 세진프라자 ***호 일부<NA><NA><NA><NA>1영업/정상정상<NA><NA><NA><NA><NA>15.36축산물유통전문판매업177929.061489444989.173756축산물판매업축산물유통전문판매업00000
22987수원시신나무실푸줏간20160823경기도 수원시 영통구 영통로290번길 25, 나동상가동 102호 (영통동, 신나무실주공아파트)경기도 수원시 영통구 영통동 964-5 나동상가 102호1669737.252254127.06487<NA>3폐업폐업20170605<NA><NA><NA><NA>22.8식육판매업205545.178431416700.157767축산물판매업식육판매업<NA>000<NA>
29506안성시태경식품20171123경기도 안성시 공도읍 진건중길 134경기도 안성시 공도읍 진사리 85번지1756436.985077127.136252<NA>1영업/정상정상<NA><NA><NA><NA><NA>52.85식육판매업212064.039857387068.151638축산물판매업식육판매업<NA>000<NA>
31165양주시(주)에브리데이리테일 고읍동점20111129경기도 양주시 고덕로 342 (고읍동)경기도 양주시 고읍동 439번지1148137.802343127.078459<NA>3폐업폐업20160729<NA><NA><NA>031-848-084834.1식육판매업206844.813681477768.810624축산물판매업식육판매업<NA>L00<NA>
시군명사업장명인허가일자소재지도로명주소소재지지번주소소재지우편번호위도경도인허가취소일자통합영업상태구분코드통합영업상태명영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지시설전화번호소재지면적정보업태구분명정보X좌표값Y좌표값축산업무구분명축산물가공업구분명축산고유번호권리주체고유번호총종업원수
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32022양평군대명닭집20080624경기도 양평군 양평읍 양평시장1길 6-1경기도 양평군 양평읍 양근리 354-31255637.489559127.492251<NA>4취소/말소/만료/정지/중지말소20220823<NA><NA><NA><NA>10.0식육판매업243465.673467443153.125101축산물판매업식육판매업00000
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29517안성시팔도정육점19980831<NA>경기도 안성시 구포동 18-19번지1758937.010326127.273014<NA>3폐업폐업20030919<NA><NA><NA>673-431327.25식육판매업<NA><NA>축산물판매업식육판매업<NA>000<NA>
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36636용인시한솔미트20110829경기도 용인시 수지구 현암로 27 (죽전동)경기도 용인시 수지구 죽전동 548번지1686637.331589127.112129<NA>3폐업폐업<NA><NA><NA><NA><NA>114.0식육판매업209871.451843425523.597586축산물판매업식육판매업<NA>000<NA>
36729용인시행복한정육센터20130715경기도 용인시 수지구 대지로 58, 106호 (죽전동)경기도 용인시 수지구 죽전동 1254-1번지 106호1687337.328595127.115385<NA>3폐업폐업20161226<NA><NA><NA>031-266-610062.49식육판매업210118.611718425154.424158축산물판매업식육판매업<NA>000<NA>
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