Overview

Dataset statistics

Number of variables7
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory59.2 B

Variable types

Text2
Categorical3
Numeric2

Dataset

Description경기도 평택시 사료제조업현황에 대한 데이터로 사업장명, 영업상태명, 소재지도로명주소, 업태구분명 , 위도, 경도 등의 항목을 제공합니다.※문의 : 평택시청 축산반려동물과(031-8024-3812)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15039710/fileData.do

Alerts

통합영업상태명 has constant value ""Constant
영업상태명 has constant value ""Constant

Reproduction

Analysis started2024-03-14 16:53:46.444561
Analysis finished2024-03-14 16:53:48.407516
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size992.0 B
2024-03-15T01:53:49.499834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.4074074
Min length2

Characters and Unicode

Total characters800
Distinct characters220
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)88.0%

Sample

1st row광성물산
2nd row(주)그린텍에프앤씨
3rd row(주)그린월드
4th row평택시 농업기술센터 친환경미생물관
5th row(주)비비코리아
ValueCountFrequency (%)
주식회사 18
 
12.1%
주)비비코리아 3
 
2.0%
농업회사법인 3
 
2.0%
주)피앤피에드텍 2
 
1.3%
광성물산 2
 
1.3%
지에스바이오 2
 
1.3%
주)리치농업회사법인 2
 
1.3%
두루텍 2
 
1.3%
팽성농협미곡종합처리장 1
 
0.7%
헤이도그 1
 
0.7%
Other values (113) 113
75.8%
2024-03-15T01:53:51.060407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
6.4%
41
 
5.1%
( 34
 
4.2%
34
 
4.2%
) 34
 
4.2%
25
 
3.1%
24
 
3.0%
22
 
2.8%
21
 
2.6%
12
 
1.5%
Other values (210) 502
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
81.6%
Space Separator 41
 
5.1%
Open Punctuation 34
 
4.2%
Close Punctuation 34
 
4.2%
Lowercase Letter 21
 
2.6%
Uppercase Letter 10
 
1.2%
Decimal Number 6
 
0.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
7.8%
34
 
5.2%
25
 
3.8%
24
 
3.7%
22
 
3.4%
21
 
3.2%
12
 
1.8%
12
 
1.8%
12
 
1.8%
11
 
1.7%
Other values (182) 429
65.7%
Lowercase Letter
ValueCountFrequency (%)
a 5
23.8%
e 3
14.3%
h 2
 
9.5%
t 2
 
9.5%
l 1
 
4.8%
o 1
 
4.8%
n 1
 
4.8%
i 1
 
4.8%
m 1
 
4.8%
b 1
 
4.8%
Other values (3) 3
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 2
20.0%
T 2
20.0%
B 2
20.0%
H 2
20.0%
C 1
10.0%
L 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
4 1
16.7%
7 1
16.7%
5 1
16.7%
2 1
16.7%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
81.6%
Common 116
 
14.5%
Latin 31
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
7.8%
34
 
5.2%
25
 
3.8%
24
 
3.7%
22
 
3.4%
21
 
3.2%
12
 
1.8%
12
 
1.8%
12
 
1.8%
11
 
1.7%
Other values (182) 429
65.7%
Latin
ValueCountFrequency (%)
a 5
16.1%
e 3
 
9.7%
h 2
 
6.5%
t 2
 
6.5%
D 2
 
6.5%
T 2
 
6.5%
B 2
 
6.5%
H 2
 
6.5%
l 1
 
3.2%
C 1
 
3.2%
Other values (9) 9
29.0%
Common
ValueCountFrequency (%)
41
35.3%
( 34
29.3%
) 34
29.3%
1 2
 
1.7%
4 1
 
0.9%
7 1
 
0.9%
5 1
 
0.9%
& 1
 
0.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
81.6%
ASCII 147
 
18.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
51
 
7.8%
34
 
5.2%
25
 
3.8%
24
 
3.7%
22
 
3.4%
21
 
3.2%
12
 
1.8%
12
 
1.8%
12
 
1.8%
11
 
1.7%
Other values (182) 429
65.7%
ASCII
ValueCountFrequency (%)
41
27.9%
( 34
23.1%
) 34
23.1%
a 5
 
3.4%
e 3
 
2.0%
h 2
 
1.4%
t 2
 
1.4%
D 2
 
1.4%
T 2
 
1.4%
B 2
 
1.4%
Other values (18) 20
13.6%

통합영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size992.0 B
영업/정상
108 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 108
100.0%

Length

2024-03-15T01:53:51.468780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:53:51.768907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 108
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size992.0 B
정상
108 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 108
100.0%

Length

2024-03-15T01:53:52.088830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:53:52.260634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 108
100.0%
Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size992.0 B
2024-03-15T01:53:53.719008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length35
Mean length24.259259
Min length17

Characters and Unicode

Total characters2620
Distinct characters159
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)88.0%

Sample

1st row경기도 평택시 진위면 동부대로 188
2nd row경기도 평택시 포승읍 평택항만길 44, B동 203호
3rd row경기도 평택시 오성면 청오로 255-7
4th row경기도 평택시 오성면 청오로 33-58
5th row경기도 평택시 청북면 청북중앙로 329
ValueCountFrequency (%)
경기도 108
 
18.3%
평택시 108
 
18.3%
포승읍 19
 
3.2%
청북읍 16
 
2.7%
청북중앙로 8
 
1.4%
1층 7
 
1.2%
안중읍 7
 
1.2%
서동대로 6
 
1.0%
비전동 6
 
1.0%
청북면 6
 
1.0%
Other values (211) 300
50.8%
2024-03-15T01:53:55.608754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
 
18.5%
122
 
4.7%
122
 
4.7%
110
 
4.2%
108
 
4.1%
108
 
4.1%
108
 
4.1%
1 93
 
3.5%
66
 
2.5%
2 63
 
2.4%
Other values (149) 1236
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1513
57.7%
Space Separator 484
 
18.5%
Decimal Number 456
 
17.4%
Open Punctuation 43
 
1.6%
Close Punctuation 43
 
1.6%
Dash Punctuation 37
 
1.4%
Other Punctuation 35
 
1.3%
Uppercase Letter 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
122
 
8.1%
122
 
8.1%
110
 
7.3%
108
 
7.1%
108
 
7.1%
108
 
7.1%
66
 
4.4%
62
 
4.1%
53
 
3.5%
46
 
3.0%
Other values (125) 608
40.2%
Decimal Number
ValueCountFrequency (%)
1 93
20.4%
2 63
13.8%
3 56
12.3%
5 47
10.3%
4 47
10.3%
8 36
 
7.9%
0 33
 
7.2%
7 31
 
6.8%
9 30
 
6.6%
6 20
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
O 1
11.1%
T 1
11.1%
W 1
11.1%
S 1
11.1%
E 1
11.1%
R 1
11.1%
D 1
11.1%
H 1
11.1%
B 1
11.1%
Space Separator
ValueCountFrequency (%)
484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1513
57.7%
Common 1098
41.9%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
122
 
8.1%
122
 
8.1%
110
 
7.3%
108
 
7.1%
108
 
7.1%
108
 
7.1%
66
 
4.4%
62
 
4.1%
53
 
3.5%
46
 
3.0%
Other values (125) 608
40.2%
Common
ValueCountFrequency (%)
484
44.1%
1 93
 
8.5%
2 63
 
5.7%
3 56
 
5.1%
5 47
 
4.3%
4 47
 
4.3%
( 43
 
3.9%
) 43
 
3.9%
- 37
 
3.4%
8 36
 
3.3%
Other values (5) 149
 
13.6%
Latin
ValueCountFrequency (%)
O 1
11.1%
T 1
11.1%
W 1
11.1%
S 1
11.1%
E 1
11.1%
R 1
11.1%
D 1
11.1%
H 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1513
57.7%
ASCII 1107
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
484
43.7%
1 93
 
8.4%
2 63
 
5.7%
3 56
 
5.1%
5 47
 
4.2%
4 47
 
4.2%
( 43
 
3.9%
) 43
 
3.9%
- 37
 
3.3%
8 36
 
3.3%
Other values (14) 158
 
14.3%
Hangul
ValueCountFrequency (%)
122
 
8.1%
122
 
8.1%
110
 
7.3%
108
 
7.1%
108
 
7.1%
108
 
7.1%
66
 
4.4%
62
 
4.1%
53
 
3.5%
46
 
3.0%
Other values (125) 608
40.2%

위도
Real number (ℝ)

Distinct92
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.021821
Minimum36.936523
Maximum37.121309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T01:53:55.857867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.936523
5-th percentile36.945109
Q136.991191
median37.017427
Q337.054484
95-th percentile37.109106
Maximum37.121309
Range0.184786
Interquartile range (IQR)0.06329275

Descriptive statistics

Standard deviation0.044553306
Coefficient of variation (CV)0.0012034337
Kurtosis-0.33699005
Mean37.021821
Median Absolute Deviation (MAD)0.029821
Skewness0.23487868
Sum3998.3566
Variance0.0019849971
MonotonicityNot monotonic
2024-03-15T01:53:56.480990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.043006 3
 
2.8%
37.054484 3
 
2.8%
37.119758 2
 
1.9%
37.062956 2
 
1.9%
37.074495 2
 
1.9%
37.057379 2
 
1.9%
37.037049 2
 
1.9%
37.044387 2
 
1.9%
37.061573 2
 
1.9%
37.114153 2
 
1.9%
Other values (82) 86
79.6%
ValueCountFrequency (%)
36.936523 1
0.9%
36.940031 1
0.9%
36.940557 1
0.9%
36.942888 1
0.9%
36.944486 1
0.9%
36.945066 1
0.9%
36.94519 1
0.9%
36.947526 1
0.9%
36.950793 1
0.9%
36.959941 1
0.9%
ValueCountFrequency (%)
37.121309 1
0.9%
37.119758 2
1.9%
37.114153 2
1.9%
37.10984 1
0.9%
37.107742 1
0.9%
37.10662 1
0.9%
37.087087 1
0.9%
37.080879 1
0.9%
37.074495 2
1.9%
37.067197 1
0.9%

경도
Real number (ℝ)

Distinct92
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99157
Minimum126.83395
Maximum127.1345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T01:53:56.910382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.83395
5-th percentile126.85037
Q1126.90458
median127.00209
Q3127.08116
95-th percentile127.11791
Maximum127.1345
Range0.300549
Interquartile range (IQR)0.1765785

Descriptive statistics

Standard deviation0.092811362
Coefficient of variation (CV)0.00073084664
Kurtosis-1.4668358
Mean126.99157
Median Absolute Deviation (MAD)0.0822825
Skewness-0.079986919
Sum13715.089
Variance0.0086139489
MonotonicityNot monotonic
2024-03-15T01:53:57.339253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.901403 3
 
2.8%
127.083915 3
 
2.8%
127.081161 2
 
1.9%
127.009904 2
 
1.9%
127.071855 2
 
1.9%
126.922108 2
 
1.9%
126.999179 2
 
1.9%
126.900663 2
 
1.9%
126.923455 2
 
1.9%
127.023528 2
 
1.9%
Other values (82) 86
79.6%
ValueCountFrequency (%)
126.833947 2
1.9%
126.837706 1
0.9%
126.838765 1
0.9%
126.847374 1
0.9%
126.849965 1
0.9%
126.851132 1
0.9%
126.869554 1
0.9%
126.870868 1
0.9%
126.870944 1
0.9%
126.872132 1
0.9%
ValueCountFrequency (%)
127.134496 1
0.9%
127.133551 1
0.9%
127.132058 1
0.9%
127.130397 1
0.9%
127.118719 1
0.9%
127.118312 1
0.9%
127.117177 1
0.9%
127.116588 1
0.9%
127.115105 1
0.9%
127.112726 1
0.9%
Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size992.0 B
단미
56 
수입
37 
보조
15 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단미
2nd row수입
3rd row단미
4th row보조
5th row단미

Common Values

ValueCountFrequency (%)
단미 56
51.9%
수입 37
34.3%
보조 15
 
13.9%

Length

2024-03-15T01:53:57.772008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:53:58.091272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단미 56
51.9%
수입 37
34.3%
보조 15
 
13.9%

Interactions

2024-03-15T01:53:47.424178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:46.895770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:47.697710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:53:47.165154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:53:58.288849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태구분명정보
위도1.0000.7810.331
경도0.7811.0000.308
업태구분명정보0.3310.3081.000
2024-03-15T01:53:58.537301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태구분명정보
위도1.0000.2520.201
경도0.2521.0000.185
업태구분명정보0.2010.1851.000

Missing values

2024-03-15T01:53:47.900593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:53:48.256578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

사업장명통합영업상태명영업상태명소재지도로명주소위도경도업태구분명정보
0광성물산영업/정상정상경기도 평택시 진위면 동부대로 18837.119758127.081161단미
1(주)그린텍에프앤씨영업/정상정상경기도 평택시 포승읍 평택항만길 44, B동 203호36.959941126.849965수입
2(주)그린월드영업/정상정상경기도 평택시 오성면 청오로 255-737.027998126.973414단미
3평택시 농업기술센터 친환경미생물관영업/정상정상경기도 평택시 오성면 청오로 33-5837.014602126.981156보조
4(주)비비코리아영업/정상정상경기도 평택시 청북면 청북중앙로 32937.043006126.901403단미
5(주)디에스엠 뉴트리션 코리아영업/정상정상경기도 평택시 포승읍 평택항만길 33236.97726126.838765보조
6드림바이오넷영업/정상정상경기도 평택시 팽성읍 두정3길 2536.94519127.032108보조
7(주)비비코리아영업/정상정상경기도 평택시 청북읍 청북중앙로 32937.043006126.901403보조
8지에스바이오영업/정상정상경기도 평택시 청북읍 현곡길 3737.045698126.92976보조
9서원피덱스(주)영업/정상정상경기도 평택시 청북읍 한산길 119-837.058103126.96705수입
사업장명통합영업상태명영업상태명소재지도로명주소위도경도업태구분명정보
98(주)리치농업회사법인영업/정상정상경기도 평택시 고덕면 동청3길 17037.037049126.999179단미
99롱이네 과자점영업/정상정상경기도 평택시 안중읍 송담1로 90, 103호36.978023126.930708단미
100주식회사 바이오렌영업/정상정상경기도 평택시 팽성읍 석봉길 9736.986104127.040274보조
101누리팜영업/정상정상경기도 평택시 고덕면 문곡길 8537.062956127.009904보조
102디어 마이 독영업/정상정상경기도 평택시 중앙2로 38 (합정동)36.991298127.091064단미
103와이비무역영업/정상정상경기도 평택시 포승읍 원석정용소길 2036.993217126.883751수입
104주식회사 리팜바이오영업/정상정상경기도 평택시 포승읍 직산동길 736.947526126.870944보조
105프라임팜상사영업/정상정상경기도 평택시 포승읍 직산동길 87-1436.950793126.878127수입
106(주)에이치유아이티영업/정상정상경기도 평택시 죽백2길 59, 104호 (죽백동)37.010729127.116588단미
107엔조잇영업/정상정상경기도 평택시 원평로51번길 28 (평택동)36.989646127.082546단미