Overview

Dataset statistics

Number of variables33
Number of observations941
Missing cells11783
Missing cells (%)37.9%
Duplicate rows15
Duplicate rows (%)1.6%
Total size in memory262.0 KiB
Average record size in memory285.1 B

Variable types

Categorical12
Text5
DateTime2
Unsupported6
Numeric7
Boolean1

Dataset

Description식품첨가물제조업 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4VWDR1F6L39Z3V86148713672579&infSeq=1

Alerts

위생업태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
Dataset has 15 (1.6%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (60.2%)Imbalance
남성종사자수 is highly imbalanced (52.5%)Imbalance
여성종사자수 is highly imbalanced (52.5%)Imbalance
공장사무직종업원수 is highly imbalanced (76.8%)Imbalance
공장판매직종업원수 is highly imbalanced (66.8%)Imbalance
보증금액 is highly imbalanced (51.5%)Imbalance
월세금액 is highly imbalanced (51.5%)Imbalance
인허가취소일자 has 941 (100.0%) missing valuesMissing
폐업일자 has 468 (49.7%) missing valuesMissing
소재지시설전화번호 has 865 (91.9%) missing valuesMissing
소재지면적정보 has 825 (87.7%) missing valuesMissing
도로명우편번호 has 825 (87.7%) missing valuesMissing
소재지도로명주소 has 186 (19.8%) missing valuesMissing
소재지우편번호 has 149 (15.8%) missing valuesMissing
WGS84위도 has 166 (17.6%) missing valuesMissing
WGS84경도 has 166 (17.6%) missing valuesMissing
X좌표값 has 828 (88.0%) missing valuesMissing
Y좌표값 has 828 (88.0%) missing valuesMissing
영업장주변구분명 has 941 (100.0%) missing valuesMissing
등급구분명 has 941 (100.0%) missing valuesMissing
공장생산직종업원수 has 831 (88.3%) missing valuesMissing
시설총규모 has 941 (100.0%) missing valuesMissing
전통업소지정번호 has 941 (100.0%) missing valuesMissing
전통업소음식 has 941 (100.0%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공장생산직종업원수 has 96 (10.2%) zerosZeros

Reproduction

Analysis started2023-12-10 21:44:51.202762
Analysis finished2023-12-10 21:44:52.102599
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct33
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
성남시
102 
화성시
98 
안산시
96 
용인시
71 
군포시
 
52
Other values (28)
522 

Length

Max length4
Median length3
Mean length3.0361318
Min length3

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 102
 
10.8%
화성시 98
 
10.4%
안산시 96
 
10.2%
용인시 71
 
7.5%
군포시 52
 
5.5%
평택시 49
 
5.2%
광주시 43
 
4.6%
파주시 42
 
4.5%
김포시 41
 
4.4%
안성시 40
 
4.3%
Other values (23) 307
32.6%

Length

2023-12-11T06:44:52.173889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 102
 
10.8%
화성시 98
 
10.4%
안산시 96
 
10.2%
용인시 71
 
7.5%
군포시 52
 
5.5%
평택시 49
 
5.2%
광주시 43
 
4.6%
파주시 42
 
4.5%
김포시 41
 
4.4%
안성시 40
 
4.3%
Other values (23) 307
32.6%

사업장명
Text

Distinct758
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-11T06:44:52.408718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length18
Mean length7.4272051
Min length2

Characters and Unicode

Total characters6989
Distinct characters417
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique622 ?
Unique (%)66.1%

Sample

1st row주식회사 경주생약식품사업부
2nd row대성의료종합가스
3rd row(주)우리술
4th row아이투비씨(i2BC)
5th row(주)청은에프엔비
ValueCountFrequency (%)
주식회사 69
 
6.5%
하나향료 7
 
0.7%
삼영식품원료공업(주 6
 
0.6%
제2공장 5
 
0.5%
농업회사법인 5
 
0.5%
한국코카콜라(주 4
 
0.4%
한국바이오텍(주 4
 
0.4%
주)에이원카프 4
 
0.4%
주)서울식연 4
 
0.4%
주)나원 3
 
0.3%
Other values (778) 957
89.6%
2023-12-11T06:44:52.851215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 652
 
9.3%
) 565
 
8.1%
( 564
 
8.1%
이 234
 
3.3%
식 199
 
2.8%
에 188
 
2.7%
스 148
 
2.1%
127
 
1.8%
사 127
 
1.8%
프 114
 
1.6%
Other values (407) 4071
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5612
80.3%
Close Punctuation 565
 
8.1%
Open Punctuation 564
 
8.1%
Space Separator 127
 
1.8%
Uppercase Letter 68
 
1.0%
Lowercase Letter 20
 
0.3%
Other Punctuation 18
 
0.3%
Decimal Number 14
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 652
 
11.6%
이 234
 
4.2%
식 199
 
3.5%
에 188
 
3.3%
스 148
 
2.6%
사 127
 
2.3%
프 114
 
2.0%
아 106
 
1.9%
품 106
 
1.9%
회 104
 
1.9%
Other values (369) 3634
64.8%
Uppercase Letter
ValueCountFrequency (%)
F 14
20.6%
R 5
 
7.4%
C 5
 
7.4%
S 5
 
7.4%
O 5
 
7.4%
D 5
 
7.4%
B 5
 
7.4%
K 4
 
5.9%
T 4
 
5.9%
G 3
 
4.4%
Other values (8) 13
19.1%
Lowercase Letter
ValueCountFrequency (%)
o 6
30.0%
i 5
25.0%
n 2
 
10.0%
r 2
 
10.0%
t 1
 
5.0%
a 1
 
5.0%
p 1
 
5.0%
d 1
 
5.0%
e 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 10
71.4%
0 2
 
14.3%
1 1
 
7.1%
6 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
& 7
38.9%
. 7
38.9%
, 4
22.2%
Close Punctuation
ValueCountFrequency (%)
) 565
100.0%
Open Punctuation
ValueCountFrequency (%)
( 564
100.0%
Space Separator
ValueCountFrequency (%)
127
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5612
80.3%
Common 1289
 
18.4%
Latin 88
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 652
 
11.6%
이 234
 
4.2%
식 199
 
3.5%
에 188
 
3.3%
스 148
 
2.6%
사 127
 
2.3%
프 114
 
2.0%
아 106
 
1.9%
품 106
 
1.9%
회 104
 
1.9%
Other values (369) 3634
64.8%
Latin
ValueCountFrequency (%)
F 14
15.9%
o 6
 
6.8%
R 5
 
5.7%
C 5
 
5.7%
S 5
 
5.7%
O 5
 
5.7%
i 5
 
5.7%
D 5
 
5.7%
B 5
 
5.7%
K 4
 
4.5%
Other values (17) 29
33.0%
Common
ValueCountFrequency (%)
) 565
43.8%
( 564
43.8%
127
 
9.9%
2 10
 
0.8%
& 7
 
0.5%
. 7
 
0.5%
, 4
 
0.3%
0 2
 
0.2%
_ 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5612
80.3%
ASCII 1377
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 652
 
11.6%
이 234
 
4.2%
식 199
 
3.5%
에 188
 
3.3%
스 148
 
2.6%
사 127
 
2.3%
프 114
 
2.0%
아 106
 
1.9%
품 106
 
1.9%
회 104
 
1.9%
Other values (369) 3634
64.8%
ASCII
ValueCountFrequency (%)
) 565
41.0%
( 564
41.0%
127
 
9.2%
F 14
 
1.0%
2 10
 
0.7%
& 7
 
0.5%
. 7
 
0.5%
o 6
 
0.4%
R 5
 
0.4%
C 5
 
0.4%
Other values (28) 67
 
4.9%

인허가일자
Date

Distinct702
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
Minimum1963-07-18 00:00:00
Maximum2023-11-21 00:00:00
2023-12-11T06:44:53.010128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:53.143692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
825 
1
91 
2
 
25

Length

Max length4
Median length4
Mean length3.6301807
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 825
87.7%
1 91
 
9.7%
2 25
 
2.7%

Length

2023-12-11T06:44:53.301384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:53.429093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 825
87.7%
1 91
 
9.7%
2 25
 
2.7%

영업상태명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
폐업 등
448 
운영중
377 
영업
91 
폐업
 
25

Length

Max length4
Median length3
Mean length3.3528162
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 448
47.6%
운영중 377
40.1%
영업 91
 
9.7%
폐업 25
 
2.7%

Length

2023-12-11T06:44:53.551283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:53.637509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 473
34.1%
등 448
32.3%
운영중 377
27.1%
영업 91
 
6.6%

폐업일자
Date

MISSING 

Distinct326
Distinct (%)68.9%
Missing468
Missing (%)49.7%
Memory size7.5 KiB
Minimum1998-04-02 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:44:53.743938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:44:53.864891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct75
Distinct (%)98.7%
Missing865
Missing (%)91.9%
Memory size7.5 KiB
2023-12-11T06:44:54.107039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.447368
Min length8

Characters and Unicode

Total characters870
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

Unique74 ?
Unique (%)97.4%

Sample

1st row031 584 6639
2nd row031 966 0529
3rd row031 9472102
4th row0319256304
5th row031 979 6205
ValueCountFrequency (%)
031 40
 
23.4%
070 9
 
5.3%
02 4
 
2.3%
8778868 2
 
1.2%
212 2
 
1.2%
946 2
 
1.2%
043 2
 
1.2%
41631838 1
 
0.6%
6767215 1
 
0.6%
6600 1
 
0.6%
Other values (107) 107
62.6%
2023-12-11T06:44:54.722439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 138
15.9%
3 118
13.6%
1 107
12.3%
100
11.5%
7 72
8.3%
4 66
7.6%
6 59
6.8%
5 56
6.4%
2 54
 
6.2%
8 51
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
88.5%
Space Separator 100
 
11.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 138
17.9%
3 118
15.3%
1 107
13.9%
7 72
9.4%
4 66
8.6%
6 59
7.7%
5 56
7.3%
2 54
 
7.0%
8 51
 
6.6%
9 49
 
6.4%
Space Separator
ValueCountFrequency (%)
100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 138
15.9%
3 118
13.6%
1 107
12.3%
100
11.5%
7 72
8.3%
4 66
7.6%
6 59
6.8%
5 56
6.4%
2 54
 
6.2%
8 51
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 138
15.9%
3 118
13.6%
1 107
12.3%
100
11.5%
7 72
8.3%
4 66
7.6%
6 59
6.8%
5 56
6.4%
2 54
 
6.2%
8 51
 
5.9%

소재지면적정보
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)97.4%
Missing825
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean580.7406
Minimum0
Maximum9853.92
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T06:44:54.878092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.7425
Q165.52
median141.81
Q3501.9375
95-th percentile2509.925
Maximum9853.92
Range9853.92
Interquartile range (IQR)436.4175

Descriptive statistics

Standard deviation1243.6353
Coefficient of variation (CV)2.1414643
Kurtosis28.56382
Mean580.7406
Median Absolute Deviation (MAD)104.725
Skewness4.7111847
Sum67365.91
Variance1546628.7
MonotonicityNot monotonic
2023-12-11T06:44:55.001254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.0 2
 
0.2%
0.0 2
 
0.2%
50.0 2
 
0.2%
2589.74 1
 
0.1%
100.0 1
 
0.1%
627.0 1
 
0.1%
164.25 1
 
0.1%
914.0 1
 
0.1%
41.0 1
 
0.1%
522.75 1
 
0.1%
Other values (103) 103
 
10.9%
(Missing) 825
87.7%
ValueCountFrequency (%)
0.0 2
0.2%
5.76 1
0.1%
10.58 1
0.1%
14.9 1
0.1%
14.97 1
0.1%
20.0 1
0.1%
20.58 1
0.1%
21.08 1
0.1%
21.8 1
0.1%
25.6 1
0.1%
ValueCountFrequency (%)
9853.92 1
0.1%
4925.44 1
0.1%
4748.3 1
0.1%
3660.52 1
0.1%
3457.54 1
0.1%
2589.74 1
0.1%
2483.32 1
0.1%
2197.81 1
0.1%
2017.8 1
0.1%
1687.66 1
0.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)86.2%
Missing825
Missing (%)87.7%
Infinite0
Infinite (%)0.0%
Mean14709.491
Minimum10049
Maximum27642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T06:44:55.136558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10049
5-th percentile10491.75
Q112392
median14595
Q317405.75
95-th percentile18588.25
Maximum27642
Range17593
Interquartile range (IQR)5013.75

Descriptive statistics

Standard deviation2997.5732
Coefficient of variation (CV)0.20378497
Kurtosis1.3314182
Mean14709.491
Median Absolute Deviation (MAD)2549.5
Skewness0.60344976
Sum1706301
Variance8985445.3
MonotonicityNot monotonic
2023-12-11T06:44:55.270434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13201 4
 
0.4%
13230 3
 
0.3%
13207 3
 
0.3%
13229 2
 
0.2%
11901 2
 
0.2%
13202 2
 
0.2%
11190 2
 
0.2%
18633 2
 
0.2%
18540 2
 
0.2%
17408 2
 
0.2%
Other values (90) 92
 
9.8%
(Missing) 825
87.7%
ValueCountFrequency (%)
10049 1
0.1%
10121 1
0.1%
10228 1
0.1%
10245 1
0.1%
10256 1
0.1%
10317 1
0.1%
10550 1
0.1%
10823 1
0.1%
10825 1
0.1%
10826 1
0.1%
ValueCountFrequency (%)
27642 1
0.1%
18633 2
0.2%
18628 1
0.1%
18625 1
0.1%
18622 1
0.1%
18577 1
0.1%
18567 1
0.1%
18559 1
0.1%
18555 1
0.1%
18540 2
0.2%

소재지도로명주소
Text

MISSING 

Distinct702
Distinct (%)93.0%
Missing186
Missing (%)19.8%
Memory size7.5 KiB
2023-12-11T06:44:55.564919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length51
Mean length29.825166
Min length14

Characters and Unicode

Total characters22518
Distinct characters369
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique652 ?
Unique (%)86.4%

Sample

1st row경기도 가평군 상면 봉수로 40-39, 가동1층~2층(일부),라동2층
2nd row경기도 가평군 청평면 남가로 1909, 1, 2동 1층
3rd row경기도 가평군 조종면 대보간선로 29, 2층
4th row경기도 고양시 덕양구 삼원로 63, 고양 아크비즈 지식산업센터 F605호 (원흥동)
5th row경기도 고양시 일산동구 견달산로225번길 21-42, 1층 일부호 (식사동)
ValueCountFrequency (%)
경기도 754
 
15.9%
성남시 86
 
1.8%
화성시 79
 
1.7%
중원구 76
 
1.6%
상대원동 73
 
1.5%
안산시 69
 
1.5%
1층 66
 
1.4%
단원구 64
 
1.3%
용인시 53
 
1.1%
평택시 42
 
0.9%
Other values (1553) 3387
71.3%
2023-12-11T06:44:56.047017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4001
 
17.8%
1 877
 
3.9%
기 826
 
3.7%
시 810
 
3.6%
경 780
 
3.5%
도 779
 
3.5%
로 639
 
2.8%
동 634
 
2.8%
2 531
 
2.4%
, 505
 
2.2%
Other values (359) 12136
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12907
57.3%
Space Separator 4001
 
17.8%
Decimal Number 3886
 
17.3%
Other Punctuation 511
 
2.3%
Close Punctuation 408
 
1.8%
Open Punctuation 408
 
1.8%
Dash Punctuation 223
 
1.0%
Uppercase Letter 160
 
0.7%
Math Symbol 6
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 826
 
6.4%
시 810
 
6.3%
경 780
 
6.0%
도 779
 
6.0%
로 639
 
5.0%
동 634
 
4.9%
길 377
 
2.9%
원 303
 
2.3%
구 300
 
2.3%
성 261
 
2.0%
Other values (323) 7198
55.8%
Uppercase Letter
ValueCountFrequency (%)
B 38
23.8%
A 27
16.9%
S 21
13.1%
K 20
12.5%
I 12
 
7.5%
T 11
 
6.9%
D 9
 
5.6%
C 7
 
4.4%
E 4
 
2.5%
O 2
 
1.2%
Other values (6) 9
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 877
22.6%
2 531
13.7%
3 400
10.3%
4 388
10.0%
0 351
9.0%
6 320
 
8.2%
5 313
 
8.1%
7 266
 
6.8%
8 237
 
6.1%
9 203
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 505
98.8%
. 5
 
1.0%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4001
100.0%
Close Punctuation
ValueCountFrequency (%)
) 408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 408
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 5
100.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12907
57.3%
Common 9446
41.9%
Latin 165
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 826
 
6.4%
시 810
 
6.3%
경 780
 
6.0%
도 779
 
6.0%
로 639
 
5.0%
동 634
 
4.9%
길 377
 
2.9%
원 303
 
2.3%
구 300
 
2.3%
성 261
 
2.0%
Other values (323) 7198
55.8%
Common
ValueCountFrequency (%)
4001
42.4%
1 877
 
9.3%
2 531
 
5.6%
, 505
 
5.3%
) 408
 
4.3%
( 408
 
4.3%
3 400
 
4.2%
4 388
 
4.1%
0 351
 
3.7%
6 320
 
3.4%
Other values (9) 1257
 
13.3%
Latin
ValueCountFrequency (%)
B 38
23.0%
A 27
16.4%
S 21
12.7%
K 20
12.1%
I 12
 
7.3%
T 11
 
6.7%
D 9
 
5.5%
C 7
 
4.2%
n 5
 
3.0%
E 4
 
2.4%
Other values (7) 11
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12907
57.3%
ASCII 9607
42.7%
Enclosed Alphanum 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4001
41.6%
1 877
 
9.1%
2 531
 
5.5%
, 505
 
5.3%
) 408
 
4.2%
( 408
 
4.2%
3 400
 
4.2%
4 388
 
4.0%
0 351
 
3.7%
6 320
 
3.3%
Other values (24) 1418
 
14.8%
Hangul
ValueCountFrequency (%)
기 826
 
6.4%
시 810
 
6.3%
경 780
 
6.0%
도 779
 
6.0%
로 639
 
5.0%
동 634
 
4.9%
길 377
 
2.9%
원 303
 
2.3%
구 300
 
2.3%
성 261
 
2.0%
Other values (323) 7198
55.8%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 3
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct805
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2023-12-11T06:44:56.361831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length24.087141
Min length7

Characters and Unicode

Total characters22666
Distinct characters331
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

Unique769 ?
Unique (%)81.7%

Sample

1st row경기도 가평군 상면 봉수리 98-5 (주)경주생약
2nd row경기도 가평군 청평면 대성리 560-1번지
3rd row경기도 가평군 조종면 대보리 427-3번지 2층
4th row경기도 고양시 덕양구 원흥동 704 고양 아크비즈 지식산업센터
5th row경기도 고양시 일산동구 식사동 288-2
ValueCountFrequency (%)
경기도 940
 
19.1%
성남시 102
 
2.1%
화성시 98
 
2.0%
안산시 96
 
1.9%
중원구 82
 
1.7%
번지 77
 
1.6%
상대원동 76
 
1.5%
용인시 71
 
1.4%
단원구 65
 
1.3%
군포시 52
 
1.1%
Other values (1564) 3268
66.3%
2023-12-11T06:44:56.823395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4225
 
18.6%
시 1009
 
4.5%
기 968
 
4.3%
도 963
 
4.2%
경 944
 
4.2%
1 906
 
4.0%
지 753
 
3.3%
번 672
 
3.0%
동 662
 
2.9%
- 643
 
2.8%
Other values (321) 10921
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13431
59.3%
Space Separator 4225
 
18.6%
Decimal Number 4064
 
17.9%
Dash Punctuation 643
 
2.8%
Uppercase Letter 131
 
0.6%
Other Punctuation 91
 
0.4%
Close Punctuation 33
 
0.1%
Open Punctuation 33
 
0.1%
Lowercase Letter 8
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1009
 
7.5%
기 968
 
7.2%
도 963
 
7.2%
경 944
 
7.0%
지 753
 
5.6%
번 672
 
5.0%
동 662
 
4.9%
리 419
 
3.1%
구 307
 
2.3%
원 304
 
2.3%
Other values (281) 6430
47.9%
Uppercase Letter
ValueCountFrequency (%)
B 32
24.4%
K 17
13.0%
S 16
12.2%
A 16
12.2%
T 10
 
7.6%
I 10
 
7.6%
D 9
 
6.9%
C 5
 
3.8%
E 4
 
3.1%
G 2
 
1.5%
Other values (8) 10
 
7.6%
Decimal Number
ValueCountFrequency (%)
1 906
22.3%
2 562
13.8%
3 474
11.7%
0 402
9.9%
4 394
9.7%
5 347
 
8.5%
6 294
 
7.2%
7 239
 
5.9%
9 223
 
5.5%
8 223
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
n 5
62.5%
c 1
 
12.5%
k 1
 
12.5%
s 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 87
95.6%
. 4
 
4.4%
Space Separator
ValueCountFrequency (%)
4225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 643
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Other Symbol
ValueCountFrequency (%)
ⓝ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13431
59.3%
Common 9096
40.1%
Latin 139
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1009
 
7.5%
기 968
 
7.2%
도 963
 
7.2%
경 944
 
7.0%
지 753
 
5.6%
번 672
 
5.0%
동 662
 
4.9%
리 419
 
3.1%
구 307
 
2.3%
원 304
 
2.3%
Other values (281) 6430
47.9%
Latin
ValueCountFrequency (%)
B 32
23.0%
K 17
12.2%
S 16
11.5%
A 16
11.5%
T 10
 
7.2%
I 10
 
7.2%
D 9
 
6.5%
n 5
 
3.6%
C 5
 
3.6%
E 4
 
2.9%
Other values (12) 15
10.8%
Common
ValueCountFrequency (%)
4225
46.4%
1 906
 
10.0%
- 643
 
7.1%
2 562
 
6.2%
3 474
 
5.2%
0 402
 
4.4%
4 394
 
4.3%
5 347
 
3.8%
6 294
 
3.2%
7 239
 
2.6%
Other values (8) 610
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13431
59.3%
ASCII 9232
40.7%
Enclosed Alphanum 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4225
45.8%
1 906
 
9.8%
- 643
 
7.0%
2 562
 
6.1%
3 474
 
5.1%
0 402
 
4.4%
4 394
 
4.3%
5 347
 
3.8%
6 294
 
3.2%
7 239
 
2.6%
Other values (29) 746
 
8.1%
Hangul
ValueCountFrequency (%)
시 1009
 
7.5%
기 968
 
7.2%
도 963
 
7.2%
경 944
 
7.0%
지 753
 
5.6%
번 672
 
5.0%
동 662
 
4.9%
리 419
 
3.1%
구 307
 
2.3%
원 304
 
2.3%
Other values (281) 6430
47.9%
Enclosed Alphanum
ValueCountFrequency (%)
ⓝ 3
100.0%

소재지우편번호
Text

MISSING 

Distinct451
Distinct (%)56.9%
Missing149
Missing (%)15.8%
Memory size7.5 KiB
2023-12-11T06:44:57.124682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0568182
Min length5

Characters and Unicode

Total characters4797
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

Unique304 ?
Unique (%)38.4%

Sample

1st row477-822
2nd row477812
3rd row12439
4th row412-040
5th row410-821
ValueCountFrequency (%)
462807 40
 
5.1%
425100 18
 
2.3%
429848 11
 
1.4%
425833 9
 
1.1%
463816 8
 
1.0%
462806 8
 
1.0%
435831 8
 
1.0%
425836 8
 
1.0%
425852 7
 
0.9%
425851 7
 
0.9%
Other values (441) 668
84.3%
2023-12-11T06:44:57.562954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1093
22.8%
8 603
12.6%
2 456
9.5%
5 454
9.5%
1 448
9.3%
3 364
 
7.6%
6 362
 
7.5%
0 344
 
7.2%
7 305
 
6.4%
9 261
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4690
97.8%
Dash Punctuation 107
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1093
23.3%
8 603
12.9%
2 456
9.7%
5 454
9.7%
1 448
9.6%
3 364
 
7.8%
6 362
 
7.7%
0 344
 
7.3%
7 305
 
6.5%
9 261
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4797
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1093
22.8%
8 603
12.6%
2 456
9.5%
5 454
9.5%
1 448
9.3%
3 364
 
7.6%
6 362
 
7.5%
0 344
 
7.2%
7 305
 
6.4%
9 261
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4797
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1093
22.8%
8 603
12.6%
2 456
9.5%
5 454
9.5%
1 448
9.3%
3 364
 
7.6%
6 362
 
7.5%
0 344
 
7.2%
7 305
 
6.4%
9 261
 
5.4%

WGS84위도
Real number (ℝ)

MISSING 

Distinct650
Distinct (%)83.9%
Missing166
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean37.383686
Minimum36.958088
Maximum38.036268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T06:44:57.703082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.958088
5-th percentile37.035178
Q137.223423
median37.350146
Q337.501902
95-th percentile37.810896
Maximum38.036268
Range1.0781794
Interquartile range (IQR)0.2784791

Descriptive statistics

Standard deviation0.23319998
Coefficient of variation (CV)0.0062380146
Kurtosis-0.43617526
Mean37.383686
Median Absolute Deviation (MAD)0.13116793
Skewness0.44196792
Sum28972.357
Variance0.054382231
MonotonicityNot monotonic
2023-12-11T06:44:57.845311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4406568155 10
 
1.1%
37.4399480135 8
 
0.9%
37.436719428 7
 
0.7%
37.3899554806 4
 
0.4%
37.3491568793 4
 
0.4%
37.2655925945 4
 
0.4%
37.4038894999 4
 
0.4%
37.4356323712 4
 
0.4%
37.4395178895 4
 
0.4%
37.4041366033 4
 
0.4%
Other values (640) 722
76.7%
(Missing) 166
 
17.6%
ValueCountFrequency (%)
36.9580884267 1
0.1%
36.9584835375 1
0.1%
36.9589389018 1
0.1%
36.9610776242 1
0.1%
36.9640332316 1
0.1%
36.9678078418 2
0.2%
36.9731110164 1
0.1%
36.9740537166 1
0.1%
36.9755332579 1
0.1%
36.9800313094 1
0.1%
ValueCountFrequency (%)
38.0362678582 2
0.2%
38.0180525226 1
0.1%
37.9366193038 1
0.1%
37.9340412774 1
0.1%
37.9320985849 1
0.1%
37.9097650404 1
0.1%
37.9059943775 1
0.1%
37.8980174207 1
0.1%
37.8973563963 1
0.1%
37.8890516439 1
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct650
Distinct (%)83.9%
Missing166
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean127.00988
Minimum126.52556
Maximum127.67349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T06:44:57.987468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52556
5-th percentile126.70577
Q1126.79726
median126.98496
Q3127.17607
95-th percentile127.38842
Maximum127.67349
Range1.1479338
Interquartile range (IQR)0.3788164

Descriptive statistics

Standard deviation0.22355534
Coefficient of variation (CV)0.0017601413
Kurtosis-0.61353045
Mean127.00988
Median Absolute Deviation (MAD)0.19033309
Skewness0.19331877
Sum98432.657
Variance0.049976989
MonotonicityNot monotonic
2023-12-11T06:44:58.114847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1725190689 10
 
1.1%
127.1769873928 8
 
0.9%
127.1698572002 7
 
0.7%
126.9360484109 4
 
0.4%
126.9726645451 4
 
0.4%
127.0643194229 4
 
0.4%
127.1503975833 4
 
0.4%
127.1744060797 4
 
0.4%
127.1779161966 4
 
0.4%
127.1516619236 4
 
0.4%
Other values (640) 722
76.7%
(Missing) 166
 
17.6%
ValueCountFrequency (%)
126.5255574103 1
0.1%
126.5471841376 1
0.1%
126.5560504922 1
0.1%
126.5577370914 1
0.1%
126.5578982848 1
0.1%
126.5593578019 1
0.1%
126.5656814988 1
0.1%
126.5660804853 1
0.1%
126.5720727395 1
0.1%
126.5730985698 2
0.2%
ValueCountFrequency (%)
127.6734912075 1
0.1%
127.6499265296 1
0.1%
127.6338244279 1
0.1%
127.55879772 1
0.1%
127.5568478263 1
0.1%
127.5469243778 1
0.1%
127.5468694776 1
0.1%
127.5404240736 1
0.1%
127.5380760033 1
0.1%
127.5147960183 1
0.1%

업태구분명정보
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
825 
식품첨가물제조업
116 

Length

Max length8
Median length4
Mean length4.4930925
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 825
87.7%
식품첨가물제조업 116
 
12.3%

Length

2023-12-11T06:44:58.257365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:58.352140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 825
87.7%
식품첨가물제조업 116
 
12.3%

X좌표값
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)93.8%
Missing828
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean202083.75
Minimum165121.8
Maximum249544.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T06:44:58.446961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum165121.8
5-th percentile174918.49
Q1182900.03
median205249.5
Q3215393.05
95-th percentile233036.33
Maximum249544.07
Range84422.268
Interquartile range (IQR)32493.024

Descriptive statistics

Standard deviation19247.762
Coefficient of variation (CV)0.095246463
Kurtosis-0.59688194
Mean202083.75
Median Absolute Deviation (MAD)13544.543
Skewness0.26231895
Sum22835463
Variance3.7047634 × 108
MonotonicityNot monotonic
2023-12-11T06:44:58.581224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215657.504440664 3
 
0.3%
215341.301590181 3
 
0.3%
205634.996843958 2
 
0.2%
210943.005419279 2
 
0.2%
180698.750807343 2
 
0.2%
208773.208500488 1
 
0.1%
235300.173057065 1
 
0.1%
177203.115154887 1
 
0.1%
189568.316013144 1
 
0.1%
185622.093036067 1
 
0.1%
Other values (96) 96
 
10.2%
(Missing) 828
88.0%
ValueCountFrequency (%)
165121.804564471 1
0.1%
173882.005062269 1
0.1%
173988.828248746 1
0.1%
174282.905573967 1
0.1%
174819.053127686 1
0.1%
174854.687412394 1
0.1%
174961.020023437 1
0.1%
175444.319185143 1
0.1%
177203.115154887 1
0.1%
177219.927468427 1
0.1%
ValueCountFrequency (%)
249544.072880523 1
0.1%
248616.149733033 1
0.1%
245488.809475594 1
0.1%
243861.466653284 1
0.1%
243227.905708982 1
0.1%
235300.173057065 1
0.1%
231527.095375362 1
0.1%
229083.240020209 1
0.1%
227736.700441553 1
0.1%
227413.751795324 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)93.8%
Missing828
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean433967.51
Minimum387242.07
Maximum489681.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T06:44:58.730229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum387242.07
5-th percentile395056.45
Q1413236.68
median431515.92
Q3456784.27
95-th percentile483480.76
Maximum489681.03
Range102438.96
Interquartile range (IQR)43547.586

Descriptive statistics

Standard deviation27521.437
Coefficient of variation (CV)0.063418197
Kurtosis-0.82702872
Mean433967.51
Median Absolute Deviation (MAD)18916.406
Skewness0.40540885
Sum49038329
Variance7.574295 × 108
MonotonicityNot monotonic
2023-12-11T06:44:58.853327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
437557.61664539 3
 
0.3%
437403.288848939 3
 
0.3%
418179.311695395 2
 
0.2%
459321.36955802 2
 
0.2%
413236.681971475 2
 
0.2%
412073.497774566 1
 
0.1%
418296.733489368 1
 
0.1%
476438.459882225 1
 
0.1%
485659.900015063 1
 
0.1%
471863.691279667 1
 
0.1%
Other values (96) 96
 
10.2%
(Missing) 828
88.0%
ValueCountFrequency (%)
387242.067213067 1
0.1%
389364.31996767 1
0.1%
392773.795 1
0.1%
393066.849420769 1
0.1%
393741.880376445 1
0.1%
394179.381768083 1
0.1%
395641.161475683 1
0.1%
395738.881260302 1
0.1%
398059.498950683 1
0.1%
398451.666009077 1
0.1%
ValueCountFrequency (%)
489681.027581693 1
0.1%
485994.697599408 1
0.1%
485659.900015063 1
0.1%
484240.16674681 1
0.1%
484002.009385865 1
0.1%
483788.771221043 1
0.1%
483275.41904242 1
0.1%
483227.331036016 1
0.1%
483145.744042391 1
0.1%
478934.36016443 1
0.1%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
식품첨가물제조업
941 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품첨가물제조업 941
100.0%

Length

2023-12-11T06:44:58.960585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:59.050259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품첨가물제조업 941
100.0%

남성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
845 
0
96 

Length

Max length4
Median length4
Mean length3.6939426
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 845
89.8%
0 96
 
10.2%

Length

2023-12-11T06:44:59.143025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:59.232555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 845
89.8%
0 96
 
10.2%

여성종사자수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
845 
0
96 

Length

Max length4
Median length4
Mean length3.6939426
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 845
89.8%
0 96
 
10.2%

Length

2023-12-11T06:44:59.333017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:59.422063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 845
89.8%
0 96
 
10.2%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

본사종업원수
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
832 
0
109 

Length

Max length4
Median length4
Mean length3.6524973
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 832
88.4%
0 109
 
11.6%

Length

2023-12-11T06:44:59.522867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:59.617786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 832
88.4%
0 109
 
11.6%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
831 
0
98 
1
 
6
2
 
3
4
 
2

Length

Max length4
Median length4
Mean length3.6493092
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 831
88.3%
0 98
 
10.4%
1 6
 
0.6%
2 3
 
0.3%
4 2
 
0.2%
8 1
 
0.1%

Length

2023-12-11T06:44:59.785135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:44:59.896091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 831
88.3%
0 98
 
10.4%
1 6
 
0.6%
2 3
 
0.3%
4 2
 
0.2%
8 1
 
0.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
832 
0
108 
4
 
1

Length

Max length4
Median length4
Mean length3.6524973
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 832
88.4%
0 108
 
11.5%
4 1
 
0.1%

Length

2023-12-11T06:45:00.037274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:00.155441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 832
88.4%
0 108
 
11.5%
4 1
 
0.1%

공장생산직종업원수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)7.3%
Missing831
Missing (%)88.3%
Infinite0
Infinite (%)0.0%
Mean0.63636364
Minimum0
Maximum24
Zeros96
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2023-12-11T06:45:00.239178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.7652074
Coefficient of variation (CV)4.3453259
Kurtosis50.597035
Mean0.63636364
Median Absolute Deviation (MAD)0
Skewness6.6628523
Sum70
Variance7.646372
MonotonicityNot monotonic
2023-12-11T06:45:00.335983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 96
 
10.2%
1 4
 
0.4%
2 3
 
0.3%
5 2
 
0.2%
3 2
 
0.2%
13 1
 
0.1%
7 1
 
0.1%
24 1
 
0.1%
(Missing) 831
88.3%
ValueCountFrequency (%)
0 96
10.2%
1 4
 
0.4%
2 3
 
0.3%
3 2
 
0.2%
5 2
 
0.2%
7 1
 
0.1%
13 1
 
0.1%
24 1
 
0.1%
ValueCountFrequency (%)
24 1
 
0.1%
13 1
 
0.1%
7 1
 
0.1%
5 2
 
0.2%
3 2
 
0.2%
2 3
 
0.3%
1 4
 
0.4%
0 96
10.2%

보증금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
842 
0
99 

Length

Max length4
Median length4
Mean length3.6843783
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 842
89.5%
0 99
 
10.5%

Length

2023-12-11T06:45:00.471117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:00.565696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 842
89.5%
0 99
 
10.5%

월세금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
<NA>
842 
0
99 

Length

Max length4
Median length4
Mean length3.6843783
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 842
89.5%
0 99
 
10.5%

Length

2023-12-11T06:45:00.659743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:00.754974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 842
89.5%
0 99
 
10.5%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
False
941 
ValueCountFrequency (%)
False 941
100.0%
2023-12-11T06:45:00.843705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

전통업소음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing941
Missing (%)100.0%
Memory size8.4 KiB

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
0가평군주식회사 경주생약식품사업부2022-04-20<NA>1영업<NA>031 584 6639325.5412440경기도 가평군 상면 봉수로 40-39, 가동1층~2층(일부),라동2층경기도 가평군 상면 봉수리 98-5 (주)경주생약477-82237.850714127.286849식품첨가물제조업225163.852795483145.744042식품첨가물제조업00<NA><NA>000000N<NA><NA><NA>
1가평군대성의료종합가스20171121<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 청평면 남가로 1909, 1, 2동 1층경기도 가평군 청평면 대성리 560-1번지47781237.6938127.366406<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
2가평군(주)우리술20121207<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 조종면 대보간선로 29, 2층경기도 가평군 조종면 대보리 427-3번지 2층1243937.819877127.356303<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
3고양시아이투비씨(i2BC)2020-08-19<NA>1영업<NA>031 966 052982.0510550경기도 고양시 덕양구 삼원로 63, 고양 아크비즈 지식산업센터 F605호 (원흥동)경기도 고양시 덕양구 원흥동 704 고양 아크비즈 지식산업센터412-04037.639974126.875428식품첨가물제조업182900.026586463945.513647식품첨가물제조업00<NA><NA>000000N<NA><NA><NA>
4고양시(주)청은에프엔비2011-01-17<NA>1영업<NA>031 947210221.810317경기도 고양시 일산동구 견달산로225번길 21-42, 1층 일부호 (식사동)경기도 고양시 일산동구 식사동 288-2410-82137.685971126.817258식품첨가물제조업183813.844041464861.669758식품첨가물제조업00<NA><NA>000500N<NA><NA><NA>
5고양시(주)푸디토리 알프스향료2008-03-03<NA>1영업<NA>0319256304198.010228경기도 고양시 일산서구 장자길82번길 37, 1층 (덕이동)경기도 고양시 일산서구 덕이동 770411-80937.69951126.744989식품첨가물제조업177446.944641466374.62202식품첨가물제조업<NA><NA><NA><NA>0000<NA><NA>N<NA><NA><NA>
6고양시다이찌식품2019-05-28<NA>1영업<NA>031 979 6205482.2410245경기도 고양시 일산동구 고봉로867번길 41-17, 다이찌팩토리 1층 일부호, 2층 전체호, 3층 일부호 (설문동)경기도 고양시 일산동구 설문동 617-2410-81937.730449126.798522식품첨가물제조업182171.806298469793.652734식품첨가물제조업00<NA><NA>000300N<NA><NA><NA>
7고양시씨코리아 주식회사20100614<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 감내길 85-23, 나동 1층 (성석동)경기도 고양시 일산동구 성석동 1148-4번지41057037.715825126.782776<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
8고양시(주)뚜레반20070419<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 은마길 91 (설문동, 나동 1,2층 일부)경기도 고양시 일산동구 설문동 500-29번지 나동 1,2층 일부41081937.716456126.806903<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
9고양시유진20081016<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산동구 문원길170번길 70 (설문동)경기도 고양시 일산동구 설문동 39-10번지41081837.721625126.819983<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부시설총규모전통업소지정번호전통업소음식
931화성시에스엔케이20040109<NA><NA>폐업 등20041231<NA><NA><NA><NA>경기도 화성시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
932화성시(주)정남유화20010404<NA><NA>폐업 등20020102<NA><NA><NA>경기도 화성시 정남면 가장로 284경기도 화성시 정남면 고지리 118번지44596237.162948127.010346<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
933화성시상우공업사19850111<NA><NA>폐업 등20011101<NA><NA><NA><NA>경기도 화성시 태안읍 반월리 607번지<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
934화성시(주)팜크로스20060605<NA><NA>폐업 등20130509<NA><NA><NA>경기도 화성시 남양읍 주석로325번길 13 (북양동)경기도 화성시 남양읍 북양리 562-21번지44585737.207524126.863222<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
935화성시한국식품소재19990803<NA><NA>폐업 등20031205<NA><NA><NA>경기도 화성시 정남면 괘랑5길 14경기도 화성시 정남면 괘랑리 44-12 번지44596537.186038127.003341<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
936화성시진성FM19990901<NA><NA>폐업 등20030228<NA><NA><NA>경기도 화성시 양감면 초록로 572-5경기도 화성시 양감면 사창리 69번지44593237.105041126.972899<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
937화성시알앤엘생명과학(주)20020724<NA><NA>폐업 등20060516<NA><NA><NA><NA>경기도 화성시 봉담읍 덕우리 75-1 번지44590137.163944126.929544<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
938화성시(주)대건엔에스티20021107<NA><NA>폐업 등20120220<NA><NA><NA><NA>경기도 화성시 북양동 366-1,2 번지1825537.218978126.837923<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
939화성시(주)월드링크20011120<NA><NA>폐업 등20080624<NA><NA><NA>경기도 화성시 정남면 신백길90번길 18경기도 화성시 정남면 신리 294-1 번지44596737.165039126.968867<NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>
940<NA>(주)에이원카프2004-02-12<NA>2폐업2023-06-01043 87788681470.027642충청북도 음성군 금왕읍 금일로 362충청북도 음성군 금왕읍 쌍봉리 311-3369-90237.004747127.546869식품첨가물제조업248616.149733389364.319968식품첨가물제조업00<NA><NA>000000N<NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값위생업태명남성종사자수여성종사자수본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수보증금액월세금액다중이용업소여부# duplicates
5김포시삼영식품원료공업(주)19980402<NA>폐업 등20041231<NA><NA><NA><NA>경기도 김포시 통진면 마송리<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N4
4군포시유진산업사19971101<NA>폐업 등20041231<NA><NA><NA><NA>경기도 군포시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N3
7성남시(주)서울식연19971101<NA>폐업 등20041231<NA><NA><NA><NA>경기도 성남시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N3
8성남시하나향료19971101<NA>폐업 등20041231<NA><NA><NA><NA>경기도 성남시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N3
12용인시제일탄소공업(주)20001222<NA>폐업 등20041231<NA><NA><NA><NA>경기도 용인시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N3
0광주시프로바19991125<NA>폐업 등20041231<NA><NA><NA><NA>경기도 광주시 오포읍 매산리464893<NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N2
1군포시(주)성천양행19980408<NA>폐업 등20041231<NA><NA><NA><NA>경기도 군포시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N2
2군포시(주)한국종합식품19990108<NA>폐업 등20060529<NA><NA><NA><NA>경기도 군포시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N2
3군포시아로마월드19971101<NA>폐업 등20000322<NA><NA><NA><NA>경기도 군포시<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N2
6성남시(주)만통19971101<NA>폐업 등19990422<NA><NA><NA><NA>경기도 성남시 중원구<NA><NA><NA><NA><NA><NA>식품첨가물제조업<NA><NA><NA><NA><NA><NA><NA><NA>N2