Overview

Dataset statistics

Number of variables10
Number of observations832
Missing cells913
Missing cells (%)11.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.9 KiB
Average record size in memory81.2 B

Variable types

Categorical4
Text5
Numeric1

Dataset

Description전라남도내 우수 농축특산물 도지사품질인증업체 현황(품질인증내역, 대상품목, 사용기간)에 관한 데이터를 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/3036070/fileData.do

Alerts

시군 is highly overall correlated with 연락처3High correlation
연락처3 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연락처3High correlation
연락처3 is highly imbalanced (92.1%)Imbalance
연락처 has 90 (10.8%) missing valuesMissing
연락처2 has 823 (98.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:45:57.546594
Analysis finished2023-12-12 15:45:59.089212
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
농산물
568 
수산물
172 
임산물
 
51
축산물
 
41

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농산물 568
68.3%
수산물 172
 
20.7%
임산물 51
 
6.1%
축산물 41
 
4.9%

Length

2023-12-13T00:45:59.176802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:45:59.361218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농산물 568
68.3%
수산물 172
 
20.7%
임산물 51
 
6.1%
축산물 41
 
4.9%

시군
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
해남
87 
순천
75 
무안
66 
영광
60 
나주
55 
Other values (17)
489 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row목포
2nd row여수
3rd row여수
4th row여수
5th row여수

Common Values

ValueCountFrequency (%)
해남 87
 
10.5%
순천 75
 
9.0%
무안 66
 
7.9%
영광 60
 
7.2%
나주 55
 
6.6%
담양 54
 
6.5%
고흥 54
 
6.5%
여수 50
 
6.0%
진도 37
 
4.4%
장흥 35
 
4.2%
Other values (12) 259
31.1%

Length

2023-12-13T00:45:59.531820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해남 87
 
10.5%
순천 75
 
9.0%
무안 66
 
7.9%
영광 60
 
7.2%
나주 55
 
6.6%
담양 54
 
6.5%
고흥 54
 
6.5%
여수 50
 
6.0%
진도 37
 
4.4%
장흥 35
 
4.2%
Other values (12) 259
31.1%

법인 단체명
Text

Distinct471
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T00:45:59.850219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.8088942
Min length2

Characters and Unicode

Total characters7329
Distinct characters382
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

Unique289 ?
Unique (%)34.7%

Sample

1st row신세계에프앤비유한회사농업회사법인
2nd row거문도해풍쑥영농조합법인
3rd row거문도해풍쑥영농조합법인
4th row거문도해풍쑥영농조합법인
5th row농업회사법인식객갓김치㈜
ValueCountFrequency (%)
㈜금화 11
 
1.3%
미가식품영농조합법인 9
 
1.1%
농업회사법인㈜황금농원식품 8
 
1.0%
농)약선향기㈜ 8
 
1.0%
㈜순천송광 7
 
0.8%
모후실에서만난차 7
 
0.8%
오성수산 6
 
0.7%
무안황토식품영농조합법인 6
 
0.7%
영농조합법인성진 6
 
0.7%
바다물산영어조합법인 6
 
0.7%
Other values (461) 758
91.1%
2023-12-13T00:46:00.438582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 520
 
7.1%
인 455
 
6.2%
법 453
 
6.2%
조 299
 
4.1%
합 296
 
4.0%
영 282
 
3.8%
㈜ 262
 
3.6%
사 249
 
3.4%
업 219
 
3.0%
회 211
 
2.9%
Other values (372) 4083
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6958
94.9%
Other Symbol 262
 
3.6%
Open Punctuation 49
 
0.7%
Close Punctuation 49
 
0.7%
Decimal Number 5
 
0.1%
Uppercase Letter 4
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 520
 
7.5%
인 455
 
6.5%
법 453
 
6.5%
조 299
 
4.3%
합 296
 
4.3%
영 282
 
4.1%
사 249
 
3.6%
업 219
 
3.1%
회 211
 
3.0%
식 134
 
1.9%
Other values (362) 3840
55.2%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
4 1
20.0%
1 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
F 2
50.0%
B 2
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 262
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7220
98.5%
Common 105
 
1.4%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 520
 
7.2%
인 455
 
6.3%
법 453
 
6.3%
조 299
 
4.1%
합 296
 
4.1%
영 282
 
3.9%
㈜ 262
 
3.6%
사 249
 
3.4%
업 219
 
3.0%
회 211
 
2.9%
Other values (363) 3974
55.0%
Common
ValueCountFrequency (%)
( 49
46.7%
) 49
46.7%
0 2
 
1.9%
& 2
 
1.9%
4 1
 
1.0%
1 1
 
1.0%
2 1
 
1.0%
Latin
ValueCountFrequency (%)
F 2
50.0%
B 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6958
94.9%
None 262
 
3.6%
ASCII 109
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 520
 
7.5%
인 455
 
6.5%
법 453
 
6.5%
조 299
 
4.3%
합 296
 
4.3%
영 282
 
4.1%
사 249
 
3.6%
업 219
 
3.1%
회 211
 
3.0%
식 134
 
1.9%
Other values (362) 3840
55.2%
None
ValueCountFrequency (%)
㈜ 262
100.0%
ASCII
ValueCountFrequency (%)
( 49
45.0%
) 49
45.0%
0 2
 
1.8%
F 2
 
1.8%
& 2
 
1.8%
B 2
 
1.8%
4 1
 
0.9%
1 1
 
0.9%
2 1
 
0.9%

제품수
Real number (ℝ)

Distinct25
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6225962
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2023-12-13T00:46:00.988559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile7
Maximum48
Range47
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.795541
Coefficient of variation (CV)1.4472457
Kurtosis55.283107
Mean2.6225962
Median Absolute Deviation (MAD)0
Skewness6.3675907
Sum2182
Variance14.406131
MonotonicityNot monotonic
2023-12-13T00:46:01.148890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 423
50.8%
2 175
21.0%
3 84
 
10.1%
4 45
 
5.4%
5 28
 
3.4%
6 21
 
2.5%
7 21
 
2.5%
8 7
 
0.8%
12 5
 
0.6%
9 4
 
0.5%
Other values (15) 19
 
2.3%
ValueCountFrequency (%)
1 423
50.8%
2 175
21.0%
3 84
 
10.1%
4 45
 
5.4%
5 28
 
3.4%
6 21
 
2.5%
7 21
 
2.5%
8 7
 
0.8%
9 4
 
0.5%
10 2
 
0.2%
ValueCountFrequency (%)
48 1
0.1%
42 1
0.1%
34 1
0.1%
33 1
0.1%
32 1
0.1%
24 1
0.1%
22 1
0.1%
20 1
0.1%
18 1
0.1%
17 2
0.2%

대상품목
Text

Distinct815
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T00:46:01.359504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length133
Mean length19.31851
Min length1

Characters and Unicode

Total characters16073
Distinct characters664
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

Unique807 ?
Unique (%)97.0%

Sample

1st row절임배추,배추김치,명품배추김치
2nd row거문도해풍쑥개떡,거문도해풍쑥
3rd row거문도해풍쑥차,거문도해풍쑥분말차
4th row거문도해풍쑥생쑥개떡,거문도해풍쑥생쑥송편
5th row돌산갓김치,고들빼기김치
ValueCountFrequency (%)
절임배추 8
 
1.0%
해남절임배추 5
 
0.6%
함초소금 2
 
0.2%
표고버섯 2
 
0.2%
새송이버섯 2
 
0.2%
김부각 2
 
0.2%
새싹삼 2
 
0.2%
자색양파즙 2
 
0.2%
진도울금의힘 1
 
0.1%
울금진액골드,진도명품울금분말,진도명품율금환,진도순수울금차 1
 
0.1%
Other values (805) 805
96.8%
2023-12-13T00:46:01.815878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 1345
 
8.4%
김 313
 
1.9%
장 260
 
1.6%
미 256
 
1.6%
리 243
 
1.5%
치 224
 
1.4%
기 222
 
1.4%
고 212
 
1.3%
유 182
 
1.1%
자 166
 
1.0%
Other values (654) 12650
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14194
88.3%
Other Punctuation 1376
 
8.6%
Decimal Number 139
 
0.9%
Open Punctuation 118
 
0.7%
Close Punctuation 118
 
0.7%
Lowercase Letter 70
 
0.4%
Uppercase Letter 34
 
0.2%
Connector Punctuation 14
 
0.1%
Math Symbol 5
 
< 0.1%
Letter Number 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 313
 
2.2%
장 260
 
1.8%
미 256
 
1.8%
리 243
 
1.7%
치 224
 
1.6%
기 222
 
1.6%
고 212
 
1.5%
유 182
 
1.3%
자 166
 
1.2%
가 163
 
1.1%
Other values (597) 11953
84.2%
Lowercase Letter
ValueCountFrequency (%)
u 8
11.4%
g 7
10.0%
l 7
10.0%
e 7
10.0%
r 6
 
8.6%
a 5
 
7.1%
k 4
 
5.7%
h 4
 
5.7%
n 3
 
4.3%
m 3
 
4.3%
Other values (8) 16
22.9%
Uppercase Letter
ValueCountFrequency (%)
S 8
23.5%
O 5
14.7%
R 4
11.8%
B 4
11.8%
T 2
 
5.9%
L 2
 
5.9%
A 2
 
5.9%
M 1
 
2.9%
I 1
 
2.9%
P 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
0 43
30.9%
1 33
23.7%
3 18
12.9%
2 15
 
10.8%
5 13
 
9.4%
6 8
 
5.8%
4 4
 
2.9%
8 3
 
2.2%
7 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 1345
97.7%
· 20
 
1.5%
% 4
 
0.3%
/ 3
 
0.2%
. 2
 
0.1%
" 2
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
33.3%
Ⅲ 1
33.3%
Ⅳ 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
~ 2
40.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14177
88.2%
Common 1772
 
11.0%
Latin 107
 
0.7%
Han 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 313
 
2.2%
장 260
 
1.8%
미 256
 
1.8%
리 243
 
1.7%
치 224
 
1.6%
기 222
 
1.6%
고 212
 
1.5%
유 182
 
1.3%
자 166
 
1.2%
가 163
 
1.1%
Other values (590) 11936
84.2%
Latin
ValueCountFrequency (%)
S 8
 
7.5%
u 8
 
7.5%
g 7
 
6.5%
l 7
 
6.5%
e 7
 
6.5%
r 6
 
5.6%
O 5
 
4.7%
a 5
 
4.7%
k 4
 
3.7%
R 4
 
3.7%
Other values (25) 46
43.0%
Common
ValueCountFrequency (%)
, 1345
75.9%
( 118
 
6.7%
) 118
 
6.7%
0 43
 
2.4%
1 33
 
1.9%
· 20
 
1.1%
3 18
 
1.0%
2 15
 
0.8%
_ 14
 
0.8%
5 13
 
0.7%
Other values (12) 35
 
2.0%
Han
ValueCountFrequency (%)
愛 11
64.7%
力 1
 
5.9%
生 1
 
5.9%
眞 1
 
5.9%
岩 1
 
5.9%
茶 1
 
5.9%
米 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14177
88.2%
ASCII 1855
 
11.5%
None 20
 
0.1%
CJK 17
 
0.1%
Number Forms 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 1345
72.5%
( 118
 
6.4%
) 118
 
6.4%
0 43
 
2.3%
1 33
 
1.8%
3 18
 
1.0%
2 15
 
0.8%
_ 14
 
0.8%
5 13
 
0.7%
S 8
 
0.4%
Other values (42) 130
 
7.0%
Hangul
ValueCountFrequency (%)
김 313
 
2.2%
장 260
 
1.8%
미 256
 
1.8%
리 243
 
1.7%
치 224
 
1.6%
기 222
 
1.6%
고 212
 
1.5%
유 182
 
1.3%
자 166
 
1.2%
가 163
 
1.1%
Other values (590) 11936
84.2%
None
ValueCountFrequency (%)
· 20
100.0%
CJK
ValueCountFrequency (%)
愛 11
64.7%
力 1
 
5.9%
生 1
 
5.9%
眞 1
 
5.9%
岩 1
 
5.9%
茶 1
 
5.9%
米 1
 
5.9%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
33.3%
Ⅲ 1
33.3%
Ⅳ 1
33.3%

연락처
Text

MISSING 

Distinct401
Distinct (%)54.0%
Missing90
Missing (%)10.8%
Memory size6.6 KiB
2023-12-13T00:46:02.170517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.993261
Min length9

Characters and Unicode

Total characters8899
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

Unique232 ?
Unique (%)31.3%

Sample

1st row061-273-0442
2nd row061-644-6968
3rd row061-644-6968
4th row061-644-6968
5th row061-644-2017
ValueCountFrequency (%)
061-450-8878 11
 
1.5%
061-744-6484 9
 
1.2%
061-371-9500 8
 
1.1%
061-863-3492 8
 
1.1%
061-755-3557 7
 
0.9%
061-754-3600 7
 
0.9%
061-544-8100 6
 
0.8%
061-452-8063 6
 
0.8%
061-534-7661 6
 
0.8%
061-644-5886 6
 
0.8%
Other values (391) 668
90.0%
2023-12-13T00:46:02.728927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1482
16.7%
0 1209
13.6%
6 1170
13.1%
1 1100
12.4%
3 884
9.9%
5 632
7.1%
8 588
 
6.6%
4 579
 
6.5%
7 477
 
5.4%
2 470
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7417
83.3%
Dash Punctuation 1482
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1209
16.3%
6 1170
15.8%
1 1100
14.8%
3 884
11.9%
5 632
8.5%
8 588
7.9%
4 579
7.8%
7 477
 
6.4%
2 470
 
6.3%
9 308
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1482
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8899
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1482
16.7%
0 1209
13.6%
6 1170
13.1%
1 1100
12.4%
3 884
9.9%
5 632
7.1%
8 588
 
6.6%
4 579
 
6.5%
7 477
 
5.4%
2 470
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1482
16.7%
0 1209
13.6%
6 1170
13.1%
1 1100
12.4%
3 884
9.9%
5 632
7.1%
8 588
 
6.6%
4 579
 
6.5%
7 477
 
5.4%
2 470
 
5.3%

연락처2
Text

MISSING 

Distinct5
Distinct (%)55.6%
Missing823
Missing (%)98.9%
Memory size6.6 KiB
2023-12-13T00:46:02.919965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters81
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

Unique2 ?
Unique (%)22.2%

Sample

1st row1566-2936
2nd row1566-2936
3rd row1899-1908
4th row1566-5246
5th row1566-5246
ValueCountFrequency (%)
1566-5246 3
33.3%
1566-2936 2
22.2%
1566-6023 2
22.2%
1899-1908 1
 
11.1%
1577-3811 1
 
11.1%
2023-12-13T00:46:03.258339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 21
25.9%
1 12
14.8%
5 11
13.6%
- 9
11.1%
2 7
 
8.6%
9 5
 
6.2%
3 5
 
6.2%
4 3
 
3.7%
0 3
 
3.7%
8 3
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
88.9%
Dash Punctuation 9
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 21
29.2%
1 12
16.7%
5 11
15.3%
2 7
 
9.7%
9 5
 
6.9%
3 5
 
6.9%
4 3
 
4.2%
0 3
 
4.2%
8 3
 
4.2%
7 2
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 21
25.9%
1 12
14.8%
5 11
13.6%
- 9
11.1%
2 7
 
8.6%
9 5
 
6.2%
3 5
 
6.2%
4 3
 
3.7%
0 3
 
3.7%
8 3
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 21
25.9%
1 12
14.8%
5 11
13.6%
- 9
11.1%
2 7
 
8.6%
9 5
 
6.2%
3 5
 
6.2%
4 3
 
3.7%
0 3
 
3.7%
8 3
 
3.7%

연락처3
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
<NA>
807 
070-7764-0864
 
5
070-4203-7161
 
4
070-4681-3300
 
3
070-8800-5959
 
3
Other values (8)
 
10

Length

Max length14
Median length4
Mean length4.2776442
Min length4

Unique

Unique7 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 807
97.0%
070-7764-0864 5
 
0.6%
070-4203-7161 4
 
0.5%
070-4681-3300 3
 
0.4%
070-8800-5959 3
 
0.4%
0507-1349-2631 3
 
0.4%
070-4113-0915 1
 
0.1%
0507-1428-8589 1
 
0.1%
070-7550-1904 1
 
0.1%
0507-1409-0362 1
 
0.1%
Other values (3) 3
 
0.4%

Length

2023-12-13T00:46:03.437860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 807
97.0%
070-7764-0864 5
 
0.6%
070-4203-7161 4
 
0.5%
070-4681-3300 3
 
0.4%
070-8800-5959 3
 
0.4%
0507-1349-2631 3
 
0.4%
070-4113-0915 1
 
0.1%
0507-1428-8589 1
 
0.1%
070-7550-1904 1
 
0.1%
0507-1409-0362 1
 
0.1%
Other values (3) 3
 
0.4%

사용기간_3년
Categorical

Distinct21
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2021-07-01~2024-06-30
159 
2024-07-01~2025-06-30
147 
2020-07-01~2023-06-30
139 
2022-01-01~2024-12-31
122 
2021-01-01~2023-12-31
102 
Other values (16)
163 

Length

Max length21
Median length21
Mean length20.997596
Min length19

Unique

Unique5 ?
Unique (%)0.6%

Sample

1st row2022-01-01~2024-12-31
2nd row2022-01-01~2024-12-31
3rd row2022-01-01~2024-12-31
4th row2023-01-01~2024-12-31
5th row2024-07-01~2025-06-30

Common Values

ValueCountFrequency (%)
2021-07-01~2024-06-30 159
19.1%
2024-07-01~2025-06-30 147
17.7%
2020-07-01~2023-06-30 139
16.7%
2022-01-01~2024-12-31 122
14.7%
2021-01-01~2023-12-31 102
12.3%
2023-01-01~2025-12-31 96
11.5%
2021-11-10~2024-06-30 17
 
2.0%
2021-10-11~2024-06-30 15
 
1.8%
2023-01-01~2025-06-30 10
 
1.2%
2023-01-01~2024-06-30 5
 
0.6%
Other values (11) 20
 
2.4%

Length

2023-12-13T00:46:03.614994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-07-01~2024-06-30 159
19.1%
2024-07-01~2025-06-30 147
17.7%
2020-07-01~2023-06-30 139
16.7%
2022-01-01~2024-12-31 122
14.7%
2021-01-01~2023-12-31 102
12.3%
2023-01-01~2025-12-31 96
11.5%
2021-11-10~2024-06-30 17
 
2.0%
2021-10-11~2024-06-30 15
 
1.8%
2023-01-01~2025-06-30 10
 
1.2%
2023-01-01~2024-06-30 5
 
0.6%
Other values (11) 20
 
2.4%

허가번호
Text

Distinct825
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T00:46:04.003807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.033654
Min length7

Characters and Unicode

Total characters8348
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

Unique818 ?
Unique (%)98.3%

Sample

1st row21-1-2-105
2nd row18-2-10-4
3rd row18-2-15-4
4th row22-2-10-1
5th row19-2-3-1
ValueCountFrequency (%)
14-3-8-42 2
 
0.2%
17-17-2-12 2
 
0.2%
22-14-13-1 2
 
0.2%
21-2-2-107 2
 
0.2%
17-3-4-3 2
 
0.2%
19-3-16-3 2
 
0.2%
08-16-11-26 2
 
0.2%
21-1-2-105 1
 
0.1%
17-21-4-15 1
 
0.1%
10-21-15-24 1
 
0.1%
Other values (815) 815
98.0%
2023-12-13T00:46:04.538535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2496
29.9%
1 1810
21.7%
2 1148
13.8%
6 434
 
5.2%
3 418
 
5.0%
4 417
 
5.0%
5 373
 
4.5%
0 355
 
4.3%
8 339
 
4.1%
7 280
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5852
70.1%
Dash Punctuation 2496
29.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1810
30.9%
2 1148
19.6%
6 434
 
7.4%
3 418
 
7.1%
4 417
 
7.1%
5 373
 
6.4%
0 355
 
6.1%
8 339
 
5.8%
7 280
 
4.8%
9 278
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 2496
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2496
29.9%
1 1810
21.7%
2 1148
13.8%
6 434
 
5.2%
3 418
 
5.0%
4 417
 
5.0%
5 373
 
4.5%
0 355
 
4.3%
8 339
 
4.1%
7 280
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2496
29.9%
1 1810
21.7%
2 1148
13.8%
6 434
 
5.2%
3 418
 
5.0%
4 417
 
5.0%
5 373
 
4.5%
0 355
 
4.3%
8 339
 
4.1%
7 280
 
3.4%

Interactions

2023-12-13T00:45:58.444047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:46:04.688732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군제품수연락처2연락처3사용기간_3년
구분1.0000.6540.289NaN1.0000.261
시군0.6541.0000.0851.0001.0000.524
제품수0.2890.0851.0000.5430.2810.000
연락처2NaN1.0000.5431.000NaN0.930
연락처31.0001.0000.281NaN1.0000.577
사용기간_3년0.2610.5240.0000.9300.5771.000
2023-12-13T00:46:04.821868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군연락처3사용기간_3년구분
시군1.0000.9310.1680.407
연락처30.9311.0000.2360.752
사용기간_3년0.1680.2361.0000.142
구분0.4070.7520.1421.000
2023-12-13T00:46:04.940556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품수구분시군연락처3사용기간_3년
제품수1.0000.1880.0320.0930.000
구분0.1881.0000.4070.7520.142
시군0.0320.4071.0000.9310.168
연락처30.0930.7520.9311.0000.236
사용기간_3년0.0000.1420.1680.2361.000

Missing values

2023-12-13T00:45:58.620519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:45:58.860407image/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.
2023-12-13T00:45:59.008329image/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

구분시군법인 단체명제품수대상품목연락처연락처2연락처3사용기간_3년허가번호
0농산물목포신세계에프앤비유한회사농업회사법인3절임배추,배추김치,명품배추김치061-273-0442<NA><NA>2022-01-01~2024-12-3121-1-2-105
1농산물여수거문도해풍쑥영농조합법인2거문도해풍쑥개떡,거문도해풍쑥061-644-6968<NA><NA>2022-01-01~2024-12-3118-2-10-4
2농산물여수거문도해풍쑥영농조합법인2거문도해풍쑥차,거문도해풍쑥분말차061-644-6968<NA><NA>2022-01-01~2024-12-3118-2-15-4
3농산물여수거문도해풍쑥영농조합법인2거문도해풍쑥생쑥개떡,거문도해풍쑥생쑥송편061-644-6968<NA><NA>2023-01-01~2024-12-3122-2-10-1
4농산물여수농업회사법인식객갓김치㈜2돌산갓김치,고들빼기김치061-644-2017<NA><NA>2024-07-01~2025-06-3019-2-3-1
5농산물여수농업회사법인식객갓김치㈜2식객장돌게장,식객장전복장061-644-2017<NA><NA>2024-07-01~2025-06-3022-2-27-3
6농산물여수농업회사법인식객갓김치㈜2식객파김치,식객총각김치061-644-2017<NA><NA>2024-07-01~2025-06-3022-2-3-2
7농산물여수농업회사법인고마리㈜2동백봉떡(찹살떡),인절미061-644-5631<NA><NA>2022-01-01~2024-12-3121-2-2-107
8농산물여수돌산버섯영농조합법인1노루궁뎅이버섯즙061-644-4548<NA><NA>2021-01-01~2023-12-3120-2-16-64
9농산물여수몸사랑영농조합법인9몸사랑국화차,몸사랑구절초꽃차,몸사랑맨드라미차,몸사랑복사꽃차,몸사랑아까시나무꽃,몸사랑장미꽃차,몸사랑해당화꽃차,몸사랑흰민들레꽃차,몸사랑매화차061-683-6440<NA><NA>2023-01-01~2025-12-3119-2-15-1
구분시군법인 단체명제품수대상품목연락처연락처2연락처3사용기간_3년허가번호
822임산물해남수미다정영농조합법인1수미다정뽕잎차061-534-2434<NA><NA>2023-01-01~2024-12-3107-14-15-56
823임산물해남수미다정영농조합법인1삼각뽕잎차(티백)061-534-2434<NA><NA>2020-07-01~2024-12-3108-14-15-17
824임산물해남수미다정영농조합법인2수미다정여주차,수미다정국화차061-534-2434<NA><NA>2020-07-01~2024-12-3117-14-15-8
825임산물영암산골정1산골정홍도라지청061-472-5282<NA><NA>2022-01-01~2024-12-3118-15-9-26
826임산물영암영암유기영농조합법인1유기농고효숙단감061-471-3919<NA><NA>2023-01-01~2025-12-3104-15-6-59
827임산물영암영암유기영농조합법인2유기농고효숙감식초,유기농고효숙석류의하루061-471-3919<NA><NA>2023-01-01~2025-12-3110-15-16-12
828임산물영암영암유기영농조합법인2유기농고효숙은행초,유기농고효숙백야초061-471-3919<NA><NA>2023-01-01~2025-12-3113-15-16-42
829임산물함평나도람1표고버섯<NA><NA><NA>2022-01-01~2024-12-3121-17-2-146
830임산물진도진도운림영농조합법인1운림진도표고061-543-5700<NA><NA>2020-07-01~2023-06-3011-21-2-25
831임산물진도진도운림영농조합법인1운림진도표고(생표고)061-543-5700<NA><NA>2020-07-01~2023-06-3020-21-2-63