Overview

Dataset statistics

Number of variables8
Number of observations36
Missing cells24
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory68.6 B

Variable types

Numeric1
Text6
Categorical1

Dataset

Description축산물 HACCP 컨설팅 사업 수행을 위해 농식품부에 등록된 업체현황
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20150108000000000413

Alerts

?순번 is highly overall correlated with 분야High correlation
분야 is highly overall correlated with ?순번High correlation
홈페이지 주소 has 22 (61.1%) missing valuesMissing
연락처 has 2 (5.6%) missing valuesMissing
?순번 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique
소재지 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:07:17.709772
Analysis finished2024-04-20 18:07:19.034019
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

?순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size452.0 B
2024-04-21T03:07:19.146133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2024-04-21T03:07:19.376239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

업체명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-21T03:07:20.079728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length8.1388889
Min length3

Characters and Unicode

Total characters293
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row강이동물병원
2nd row농업회사법인㈜반석LTC
3rd row베타코리아㈜
4th row소망축산㈜
5th row씨지엠컨설팅주식회사
ValueCountFrequency (%)
강이동물병원 1
 
2.6%
주)에프엠코리아 1
 
2.6%
㈜미래컨설팅닷컴 1
 
2.6%
글로벌애니멀컨설팅그룹㈜ 1
 
2.6%
두루영농조합법인 1
 
2.6%
주식회사 1
 
2.6%
바이오컨설팅&신동물병원 1
 
2.6%
식품안전컨설팅㈜ 1
 
2.6%
에이치에이시시피코리아㈜ 1
 
2.6%
㈜비전에프엘씨 1
 
2.6%
Other values (28) 28
73.7%
2024-04-21T03:07:21.003706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 24
 
8.2%
한 10
 
3.4%
팅 10
 
3.4%
컨 10
 
3.4%
설 10
 
3.4%
식 9
 
3.1%
이 8
 
2.7%
아 7
 
2.4%
코 7
 
2.4%
연 6
 
2.0%
Other values (93) 192
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
87.7%
Other Symbol 24
 
8.2%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%
Uppercase Letter 3
 
1.0%
Space Separator 2
 
0.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 10
 
3.9%
팅 10
 
3.9%
컨 10
 
3.9%
설 10
 
3.9%
식 9
 
3.5%
이 8
 
3.1%
아 7
 
2.7%
코 7
 
2.7%
연 6
 
2.3%
에 6
 
2.3%
Other values (85) 174
67.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
T 1
33.3%
C 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
95.9%
Common 9
 
3.1%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 24
 
8.5%
한 10
 
3.6%
팅 10
 
3.6%
컨 10
 
3.6%
설 10
 
3.6%
식 9
 
3.2%
이 8
 
2.8%
아 7
 
2.5%
코 7
 
2.5%
연 6
 
2.1%
Other values (86) 180
64.1%
Common
ValueCountFrequency (%)
) 3
33.3%
( 3
33.3%
2
22.2%
& 1
 
11.1%
Latin
ValueCountFrequency (%)
L 1
33.3%
T 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
87.7%
None 24
 
8.2%
ASCII 12
 
4.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 24
100.0%
Hangul
ValueCountFrequency (%)
한 10
 
3.9%
팅 10
 
3.9%
컨 10
 
3.9%
설 10
 
3.9%
식 9
 
3.5%
이 8
 
3.1%
아 7
 
2.7%
코 7
 
2.7%
연 6
 
2.3%
에 6
 
2.3%
Other values (85) 174
67.7%
ASCII
ValueCountFrequency (%)
) 3
25.0%
( 3
25.0%
2
16.7%
& 1
 
8.3%
L 1
 
8.3%
T 1
 
8.3%
C 1
 
8.3%

대표자
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-21T03:07:21.744421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.2222222
Min length2

Characters and Unicode

Total characters116
Distinct characters67
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row강영신
2nd row손영호
3rd row강현봉
4th row하봉도
5th row신영균
ValueCountFrequency (%)
강영신 1
 
2.8%
손영호 1
 
2.8%
유영준 1
 
2.8%
임영철 1
 
2.8%
김귀숙 1
 
2.8%
신종봉 1
 
2.8%
오용관 1
 
2.8%
안병수 1
 
2.8%
성민경 1
 
2.8%
김준영 1
 
2.8%
Other values (26) 26
72.2%
2024-04-21T03:07:22.674416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 10
 
8.6%
이 6
 
5.2%
김 6
 
5.2%
신 5
 
4.3%
현 4
 
3.4%
철 3
 
2.6%
오 3
 
2.6%
호 3
 
2.6%
봉 3
 
2.6%
박 3
 
2.6%
Other values (57) 70
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
89.7%
Lowercase Letter 7
 
6.0%
Uppercase Letter 3
 
2.6%
Other Punctuation 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 10
 
9.6%
이 6
 
5.8%
김 6
 
5.8%
신 5
 
4.8%
현 4
 
3.8%
철 3
 
2.9%
오 3
 
2.9%
호 3
 
2.9%
봉 3
 
2.9%
박 3
 
2.9%
Other values (47) 58
55.8%
Lowercase Letter
ValueCountFrequency (%)
i 2
28.6%
k 1
14.3%
l 1
14.3%
b 1
14.3%
r 1
14.3%
n 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
J 1
33.3%
W 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
89.7%
Latin 10
 
8.6%
Common 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 10
 
9.6%
이 6
 
5.8%
김 6
 
5.8%
신 5
 
4.8%
현 4
 
3.8%
철 3
 
2.9%
오 3
 
2.9%
호 3
 
2.9%
봉 3
 
2.9%
박 3
 
2.9%
Other values (47) 58
55.8%
Latin
ValueCountFrequency (%)
i 2
20.0%
k 1
10.0%
A 1
10.0%
J 1
10.0%
W 1
10.0%
l 1
10.0%
b 1
10.0%
r 1
10.0%
n 1
10.0%
Common
ValueCountFrequency (%)
. 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
89.7%
ASCII 12
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 10
 
9.6%
이 6
 
5.8%
김 6
 
5.8%
신 5
 
4.8%
현 4
 
3.8%
철 3
 
2.9%
오 3
 
2.9%
호 3
 
2.9%
봉 3
 
2.9%
박 3
 
2.9%
Other values (47) 58
55.8%
ASCII
ValueCountFrequency (%)
. 2
16.7%
i 2
16.7%
k 1
8.3%
A 1
8.3%
J 1
8.3%
W 1
8.3%
l 1
8.3%
b 1
8.3%
r 1
8.3%
n 1
8.3%

홈페이지 주소
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing22
Missing (%)61.1%
Memory size416.0 B
2024-04-21T03:07:23.251740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length14.785714
Min length11

Characters and Unicode

Total characters207
Distinct characters24
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st rowwww.ebansuk.co.kr
2nd rowwww.innokr.co..kr
3rd rowwww.nlaaa.co.kr
4th rowwww.pigsos.co.kr
5th rowwww.ezfarm.co.kr
ValueCountFrequency (%)
www.ebansuk.co.kr 1
 
7.1%
www.innokr.co..kr 1
 
7.1%
www.nlaaa.co.kr 1
 
7.1%
www.pigsos.co.kr 1
 
7.1%
www.ezfarm.co.kr 1
 
7.1%
www.jpnc.co.kr 1
 
7.1%
www.ami.or.kr 1
 
7.1%
www.gacg.co.kr 1
 
7.1%
www.duruhaccp.com 1
 
7.1%
www.vetshin.co.kr 1
 
7.1%
Other values (4) 4
28.6%
2024-04-21T03:07:24.267003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 39
18.8%
. 38
18.4%
c 20
9.7%
o 19
9.2%
r 15
 
7.2%
k 14
 
6.8%
a 10
 
4.8%
m 8
 
3.9%
n 7
 
3.4%
i 5
 
2.4%
Other values (14) 32
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 169
81.6%
Other Punctuation 38
 
18.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 39
23.1%
c 20
11.8%
o 19
11.2%
r 15
 
8.9%
k 14
 
8.3%
a 10
 
5.9%
m 8
 
4.7%
n 7
 
4.1%
i 5
 
3.0%
s 4
 
2.4%
Other values (13) 28
16.6%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 169
81.6%
Common 38
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 39
23.1%
c 20
11.8%
o 19
11.2%
r 15
 
8.9%
k 14
 
8.3%
a 10
 
5.9%
m 8
 
4.7%
n 7
 
4.1%
i 5
 
3.0%
s 4
 
2.4%
Other values (13) 28
16.6%
Common
ValueCountFrequency (%)
. 38
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 39
18.8%
. 38
18.4%
c 20
9.7%
o 19
9.2%
r 15
 
7.2%
k 14
 
6.8%
a 10
 
4.8%
m 8
 
3.9%
n 7
 
3.4%
i 5
 
2.4%
Other values (14) 32
15.5%

소재지
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-21T03:07:25.646174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length26.666667
Min length17

Characters and Unicode

Total characters960
Distinct characters153
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

Unique36 ?
Unique (%)100.0%

Sample

1st row충남 예산군 광시면 예당로 190
2nd row충청북도 음성군 대소면 대풍리 524-2
3rd row충청남도 천안시 서북구 두정동 은형빌딩 1237(3층)
4th row경상북도 영주시 하망동 334-30
5th row대전광역시 유성구 송강동 171-1 해피존상가 128
ValueCountFrequency (%)
경기도 10
 
5.2%
경상북도 5
 
2.6%
서울특별시 4
 
2.1%
안양시 3
 
1.5%
동안구 3
 
1.5%
충남 2
 
1.0%
천안시 2
 
1.0%
유성구 2
 
1.0%
대전광역시 2
 
1.0%
상주시 2
 
1.0%
Other values (151) 159
82.0%
2024-04-21T03:07:27.368580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
16.5%
1 44
 
4.6%
시 33
 
3.4%
동 31
 
3.2%
2 30
 
3.1%
0 27
 
2.8%
- 26
 
2.7%
도 25
 
2.6%
구 25
 
2.6%
3 24
 
2.5%
Other values (143) 537
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
56.7%
Decimal Number 207
 
21.6%
Space Separator 158
 
16.5%
Dash Punctuation 26
 
2.7%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Other Punctuation 7
 
0.7%
Lowercase Letter 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 33
 
6.1%
동 31
 
5.7%
도 25
 
4.6%
구 25
 
4.6%
경 19
 
3.5%
서 14
 
2.6%
호 13
 
2.4%
기 13
 
2.4%
성 12
 
2.2%
상 12
 
2.2%
Other values (126) 347
63.8%
Decimal Number
ValueCountFrequency (%)
1 44
21.3%
2 30
14.5%
0 27
13.0%
3 24
11.6%
4 18
8.7%
5 17
 
8.2%
6 14
 
6.8%
7 14
 
6.8%
9 10
 
4.8%
8 9
 
4.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
56.7%
Common 414
43.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 33
 
6.1%
동 31
 
5.7%
도 25
 
4.6%
구 25
 
4.6%
경 19
 
3.5%
서 14
 
2.6%
호 13
 
2.4%
기 13
 
2.4%
성 12
 
2.2%
상 12
 
2.2%
Other values (126) 347
63.8%
Common
ValueCountFrequency (%)
158
38.2%
1 44
 
10.6%
2 30
 
7.2%
0 27
 
6.5%
- 26
 
6.3%
3 24
 
5.8%
4 18
 
4.3%
5 17
 
4.1%
6 14
 
3.4%
7 14
 
3.4%
Other values (5) 42
 
10.1%
Latin
ValueCountFrequency (%)
a 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
56.7%
ASCII 416
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
38.0%
1 44
 
10.6%
2 30
 
7.2%
0 27
 
6.5%
- 26
 
6.2%
3 24
 
5.8%
4 18
 
4.3%
5 17
 
4.1%
6 14
 
3.4%
7 14
 
3.4%
Other values (7) 44
 
10.6%
Hangul
ValueCountFrequency (%)
시 33
 
6.1%
동 31
 
5.7%
도 25
 
4.6%
구 25
 
4.6%
경 19
 
3.5%
서 14
 
2.6%
호 13
 
2.4%
기 13
 
2.4%
성 12
 
2.2%
상 12
 
2.2%
Other values (126) 347
63.8%

분야
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size416.0 B
농장
19 
농장, 집유장
13 
집유장
4 

Length

Max length7
Median length2
Mean length3.9166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농장 19
52.8%
농장, 집유장 13
36.1%
집유장 4
 
11.1%

Length

2024-04-21T03:07:27.591479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:07:27.772339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농장 32
65.3%
집유장 17
34.7%

연락처
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing2
Missing (%)5.6%
Memory size416.0 B
2024-04-21T03:07:28.433414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row041-332-4948
2nd row043-535-6426
3rd row041-523-1346
4th row054-636-9975
5th row042-320-9080
ValueCountFrequency (%)
031-821-1626 1
 
2.9%
041-569-1346 1
 
2.9%
043-223-2220 1
 
2.9%
061-471-6714 1
 
2.9%
062-525-1928 1
 
2.9%
070-7114-0015 1
 
2.9%
031-711-3970 1
 
2.9%
02-783-9004 1
 
2.9%
031-391-7200 1
 
2.9%
041-523-1346 1
 
2.9%
Other values (24) 24
70.6%
2024-04-21T03:07:29.368908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
16.9%
- 68
16.7%
3 37
9.1%
1 37
9.1%
4 37
9.1%
2 35
8.6%
5 32
7.8%
6 26
 
6.4%
7 26
 
6.4%
9 22
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
20.3%
3 37
10.9%
1 37
10.9%
4 37
10.9%
2 35
10.3%
5 32
9.4%
6 26
 
7.6%
7 26
 
7.6%
9 22
 
6.5%
8 19
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
16.9%
- 68
16.7%
3 37
9.1%
1 37
9.1%
4 37
9.1%
2 35
8.6%
5 32
7.8%
6 26
 
6.4%
7 26
 
6.4%
9 22
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
16.9%
- 68
16.7%
3 37
9.1%
1 37
9.1%
4 37
9.1%
2 35
8.6%
5 32
7.8%
6 26
 
6.4%
7 26
 
6.4%
9 22
 
5.4%

팩스번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2024-04-21T03:07:30.081114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027778
Min length11

Characters and Unicode

Total characters433
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

Unique36 ?
Unique (%)100.0%

Sample

1st row041-332-4947
2nd row043-535-6429
3rd row041-523-1348
4th row054-636-0078
5th row042-936-2322
ValueCountFrequency (%)
041-332-4947 1
 
2.8%
043-535-6429 1
 
2.8%
02-761-9006 1
 
2.8%
043-223-3311 1
 
2.8%
061-473-7379 1
 
2.8%
062-526-2184 1
 
2.8%
070-7159-1901 1
 
2.8%
053-289-0685 1
 
2.8%
031-711-3956 1
 
2.8%
031-709-0241 1
 
2.8%
Other values (26) 26
72.2%
2024-04-21T03:07:31.028071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
17.1%
- 72
16.6%
2 42
9.7%
3 41
9.5%
5 41
9.5%
1 38
8.8%
4 29
 
6.7%
6 28
 
6.5%
7 27
 
6.2%
8 23
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 361
83.4%
Dash Punctuation 72
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
20.5%
2 42
11.6%
3 41
11.4%
5 41
11.4%
1 38
10.5%
4 29
 
8.0%
6 28
 
7.8%
7 27
 
7.5%
8 23
 
6.4%
9 18
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 74
17.1%
- 72
16.6%
2 42
9.7%
3 41
9.5%
5 41
9.5%
1 38
8.8%
4 29
 
6.7%
6 28
 
6.5%
7 27
 
6.2%
8 23
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
17.1%
- 72
16.6%
2 42
9.7%
3 41
9.5%
5 41
9.5%
1 38
8.8%
4 29
 
6.7%
6 28
 
6.5%
7 27
 
6.2%
8 23
 
5.3%

Interactions

2024-04-21T03:07:18.366796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:07:31.192707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
?순번업체명대표자홈페이지 주소소재지분야연락처팩스번호
?순번1.0001.0001.0001.0001.0000.8601.0001.000
업체명1.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.000
홈페이지 주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.000
분야0.8601.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.0001.000
2024-04-21T03:07:31.378169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
?순번분야
?순번1.0000.690
분야0.6901.000

Missing values

2024-04-21T03:07:18.573592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:07:18.791301image/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.
2024-04-21T03:07:18.953934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

?순번업체명대표자홈페이지 주소소재지분야연락처팩스번호
01강이동물병원강영신<NA>충남 예산군 광시면 예당로 190농장041-332-4948041-332-4947
12농업회사법인㈜반석LTC손영호www.ebansuk.co.kr충청북도 음성군 대소면 대풍리 524-2농장043-535-6426043-535-6429
23베타코리아㈜강현봉<NA>충청남도 천안시 서북구 두정동 은형빌딩 1237(3층)농장041-523-1346041-523-1348
34소망축산㈜하봉도<NA>경상북도 영주시 하망동 334-30농장054-636-9975054-636-0078
45씨지엠컨설팅주식회사신영균<NA>대전광역시 유성구 송강동 171-1 해피존상가 128농장042-320-9080042-936-2322
56에코팜영농조합법인곽신혁<NA>경상북도 경산시 경청로 219길 1-7(백천동)농장054-972-9494054-972-9455
67유한회사 키움팜동물병원김송규<NA>전라북도 정읍시 연지동 27-10농장070-4274-6090063-537-6556
78이노코리아컨설팅그룹㈜오종찬www.innokr.co..kr대구광역시 달서구 송현동 55-1 기업은행 3-5층농장053-656-5929053-622-0001
89인슐레드아시아주식회사신경호<NA>경기도 평택시 청북면 현곡리 386-9농장070-8237-3116031-202-8131
910제이비솔류션㈜박현식<NA>경기도 양주시 삼숭동 647-2농장031-821-1626031-821-1628
?순번업체명대표자홈페이지 주소소재지분야연락처팩스번호
2627㈜미래컨설팅닷컴유영준<NA>서울특별시 성동구 아차산로 103-1002(성수2가, 영동테크노타워)농장, 집유장02-783-900402-761-9006
2728㈜비전에프엘씨김준영<NA>경기도 성남시 중원구 도촌동 567 세일프라자 206호농장, 집유장031-709-0240031-709-0241
2829㈜한국식품정보원이상호www.foodi.com서울시 영등포구 문래동 3가 에이스하이테크시티 2동 905호집유장042-822-6850042-822-6855
2930㈜한국식품컨설팅박민서<NA>서울시 송파구 오금로32길 5 211-1103(송파동, 가락삼익맨숀)농장, 집유장02-413-564602-413-5646
3031㈜한별팜텍이승윤<NA>경기도 남양주시 도농로 34, 216-1804농장, 집유장031-556-90081540-200-2008
3132㈜함컨설팅함영화hamcon.co.kr서울특별시 구로구 구로동 212-1 에이스트원타워1차 704호농장, 집유장02-2109-656502-2109-6575
3233해썹코리아이숙이<NA>대구광역시 수성구 지산동 359-1농장, 집유장053-781-64070505-516-6000
3334식품위생안전연구소김현숙<NA>서울특별시 서초구 서초동 1599-2 엘지서초에클라트 1307집유장02-598-887202-521-8308
3435㈜한국식품환경연구원박선일<NA>경기도 안양시 동안구 호계동 신원비젼타워 503호집유장031-478-8855031-478-8858
3536㈜한국씨엠권기대www.cmko.kr경기도 안양시 동안구 귀인로 172번길 42(호계동 1064 모범빌딩, 2층)집유장031-383-700902-6008-7501