Overview

Dataset statistics

Number of variables7
Number of observations2288
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory127.5 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text5
Categorical1

Dataset

Description20년말 기준 6차산업 인증 사업자 현황.
Author농림축산식품부
URLhttps://www.data.go.kr/data/15091228/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:54:45.499956
Analysis finished2023-12-12 15:54:46.736886
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct2288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1144.5
Minimum1
Maximum2288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.2 KiB
2023-12-13T00:54:46.814571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile115.35
Q1572.75
median1144.5
Q31716.25
95-th percentile2173.65
Maximum2288
Range2287
Interquartile range (IQR)1143.5

Descriptive statistics

Standard deviation660.63303
Coefficient of variation (CV)0.57722414
Kurtosis-1.2
Mean1144.5
Median Absolute Deviation (MAD)572
Skewness0
Sum2618616
Variance436436
MonotonicityStrictly increasing
2023-12-13T00:54:47.022420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1530 1
 
< 0.1%
1524 1
 
< 0.1%
1525 1
 
< 0.1%
1526 1
 
< 0.1%
1527 1
 
< 0.1%
1528 1
 
< 0.1%
1529 1
 
< 0.1%
1531 1
 
< 0.1%
1522 1
 
< 0.1%
Other values (2278) 2278
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2288 1
< 0.1%
2287 1
< 0.1%
2286 1
< 0.1%
2285 1
< 0.1%
2284 1
< 0.1%
2283 1
< 0.1%
2282 1
< 0.1%
2281 1
< 0.1%
2280 1
< 0.1%
2279 1
< 0.1%

인증번호
Text

Distinct2258
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-13T00:54:47.458781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.004808
Min length11

Characters and Unicode

Total characters25179
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2228 ?
Unique (%)97.4%

Sample

1st row2014-06-001
2nd row2014-06-002
3rd row2014-07-001
4th row 2014-09-001
5th row 2014-09-002
ValueCountFrequency (%)
2014-10-006 2
 
0.1%
2014-10-027 2
 
0.1%
2014-10-028 2
 
0.1%
2014-10-013 2
 
0.1%
2014-10-012 2
 
0.1%
2014-10-011 2
 
0.1%
2014-10-010 2
 
0.1%
2014-10-009 2
 
0.1%
2014-10-005 2
 
0.1%
2014-10-004 2
 
0.1%
Other values (2249) 2269
99.1%
2023-12-13T00:54:48.049413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6197
24.6%
1 4972
19.7%
- 4575
18.2%
2 3453
13.7%
4 1187
 
4.7%
5 1135
 
4.5%
3 910
 
3.6%
9 814
 
3.2%
6 756
 
3.0%
7 627
 
2.5%
Other values (2) 553
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20592
81.8%
Dash Punctuation 4575
 
18.2%
Space Separator 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6197
30.1%
1 4972
24.1%
2 3453
16.8%
4 1187
 
5.8%
5 1135
 
5.5%
3 910
 
4.4%
9 814
 
4.0%
6 756
 
3.7%
7 627
 
3.0%
8 541
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 4575
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25179
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6197
24.6%
1 4972
19.7%
- 4575
18.2%
2 3453
13.7%
4 1187
 
4.7%
5 1135
 
4.5%
3 910
 
3.6%
9 814
 
3.2%
6 756
 
3.0%
7 627
 
2.5%
Other values (2) 553
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25179
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6197
24.6%
1 4972
19.7%
- 4575
18.2%
2 3453
13.7%
4 1187
 
4.7%
5 1135
 
4.5%
3 910
 
3.6%
9 814
 
3.2%
6 756
 
3.0%
7 627
 
2.5%
Other values (2) 553
 
2.2%

지역
Categorical

Distinct19
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
전북
371 
전남
366 
경기
246 
경북
238 
충남
228 
Other values (14)
839 

Length

Max length4
Median length2
Mean length2.0406469
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전
2nd row대전
3rd row울산
4th row 경기
5th row 경기

Common Values

ValueCountFrequency (%)
전북 371
16.2%
전남 366
16.0%
경기 246
10.8%
경북 238
10.4%
충남 228
10.0%
경남 215
9.4%
강원 185
8.1%
충북 160
7.0%
제주 139
 
6.1%
인천 35
 
1.5%
Other values (9) 105
 
4.6%

Length

2023-12-13T00:54:48.237239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전북 377
16.5%
전남 366
16.0%
경기 250
10.9%
경북 238
10.4%
충남 228
10.0%
경남 215
9.4%
강원 206
9.0%
충북 160
7.0%
제주 139
 
6.1%
인천 35
 
1.5%
Other values (6) 74
 
3.2%

시군
Text

Distinct279
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-13T00:54:48.726262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.881993
Min length2

Characters and Unicode

Total characters6594
Distinct characters113
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)2.2%

Sample

1st row서구
2nd row대덕
3rd row울주군
4th row 김포시
5th row 김포시
ValueCountFrequency (%)
제주시 74
 
3.2%
정읍시 50
 
2.2%
완주군 44
 
1.9%
서귀포시 39
 
1.7%
고창군 36
 
1.6%
강화군 31
 
1.4%
청주시 31
 
1.4%
담양군 28
 
1.2%
파주시 27
 
1.2%
남원시 26
 
1.1%
Other values (261) 1902
83.1%
2023-12-13T00:54:49.324410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 1035
 
15.7%
시 916
 
13.9%
주 428
 
6.5%
천 253
 
3.8%
양 209
 
3.2%
산 192
 
2.9%
성 166
 
2.5%
안 149
 
2.3%
제 140
 
2.1%
영 127
 
1.9%
Other values (103) 2979
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6581
99.8%
Space Separator 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 1035
 
15.7%
시 916
 
13.9%
주 428
 
6.5%
천 253
 
3.8%
양 209
 
3.2%
산 192
 
2.9%
성 166
 
2.5%
안 149
 
2.3%
제 140
 
2.1%
영 127
 
1.9%
Other values (102) 2966
45.1%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6581
99.8%
Common 13
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 1035
 
15.7%
시 916
 
13.9%
주 428
 
6.5%
천 253
 
3.8%
양 209
 
3.2%
산 192
 
2.9%
성 166
 
2.5%
안 149
 
2.3%
제 140
 
2.1%
영 127
 
1.9%
Other values (102) 2966
45.1%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6581
99.8%
ASCII 13
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 1035
 
15.7%
시 916
 
13.9%
주 428
 
6.5%
천 253
 
3.8%
양 209
 
3.2%
산 192
 
2.9%
성 166
 
2.5%
안 149
 
2.3%
제 140
 
2.1%
영 127
 
1.9%
Other values (102) 2966
45.1%
ASCII
ValueCountFrequency (%)
13
100.0%

경영체명
Text

Distinct2198
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-13T00:54:49.681050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length21
Mean length10.739948
Min length1

Characters and Unicode

Total characters24573
Distinct characters691
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2108 ?
Unique (%)92.1%

Sample

1st row베리팜
2nd row신탄진주조
3rd row신우에프티
4th row 김포파주인삼농협
5th row 김포농식품가공영농조합
ValueCountFrequency (%)
농업회사법인 530
 
13.7%
주식회사 394
 
10.2%
영농조합법인 259
 
6.7%
㈜ 89
 
2.3%
유한회사 50
 
1.3%
농업회사법인주식회사 15
 
0.4%
협동조합 10
 
0.3%
와이너리 9
 
0.2%
유 9
 
0.2%
농장 7
 
0.2%
Other values (2354) 2504
64.6%
2023-12-13T00:54:50.291071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 1813
 
7.4%
1614
 
6.6%
인 1466
 
6.0%
사 1424
 
5.8%
법 1397
 
5.7%
회 1340
 
5.5%
업 792
 
3.2%
조 784
 
3.2%
합 747
 
3.0%
영 735
 
3.0%
Other values (681) 12461
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22497
91.6%
Space Separator 1614
 
6.6%
Other Symbol 182
 
0.7%
Close Punctuation 78
 
0.3%
Open Punctuation 76
 
0.3%
Uppercase Letter 48
 
0.2%
Lowercase Letter 39
 
0.2%
Decimal Number 26
 
0.1%
Other Punctuation 12
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 1813
 
8.1%
인 1466
 
6.5%
사 1424
 
6.3%
법 1397
 
6.2%
회 1340
 
6.0%
업 792
 
3.5%
조 784
 
3.5%
합 747
 
3.3%
영 735
 
3.3%
주 705
 
3.1%
Other values (626) 11294
50.2%
Uppercase Letter
ValueCountFrequency (%)
O 5
 
10.4%
L 5
 
10.4%
D 4
 
8.3%
M 4
 
8.3%
F 4
 
8.3%
W 3
 
6.2%
K 3
 
6.2%
B 3
 
6.2%
C 2
 
4.2%
S 2
 
4.2%
Other values (11) 13
27.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
15.4%
o 5
12.8%
a 4
10.3%
m 4
10.3%
n 3
7.7%
d 3
7.7%
r 3
7.7%
i 2
 
5.1%
t 1
 
2.6%
z 1
 
2.6%
Other values (7) 7
17.9%
Decimal Number
ValueCountFrequency (%)
2 7
26.9%
1 7
26.9%
6 2
 
7.7%
4 2
 
7.7%
9 2
 
7.7%
0 2
 
7.7%
3 2
 
7.7%
5 1
 
3.8%
7 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
& 6
50.0%
, 4
33.3%
. 2
 
16.7%
Space Separator
ValueCountFrequency (%)
1614
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22677
92.3%
Common 1807
 
7.4%
Latin 87
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 1813
 
8.0%
인 1466
 
6.5%
사 1424
 
6.3%
법 1397
 
6.2%
회 1340
 
5.9%
업 792
 
3.5%
조 784
 
3.5%
합 747
 
3.3%
영 735
 
3.2%
주 705
 
3.1%
Other values (625) 11474
50.6%
Latin
ValueCountFrequency (%)
e 6
 
6.9%
O 5
 
5.7%
o 5
 
5.7%
L 5
 
5.7%
D 4
 
4.6%
a 4
 
4.6%
M 4
 
4.6%
m 4
 
4.6%
F 4
 
4.6%
n 3
 
3.4%
Other values (28) 43
49.4%
Common
ValueCountFrequency (%)
1614
89.3%
) 78
 
4.3%
( 76
 
4.2%
2 7
 
0.4%
1 7
 
0.4%
& 6
 
0.3%
, 4
 
0.2%
. 2
 
0.1%
6 2
 
0.1%
4 2
 
0.1%
Other values (6) 9
 
0.5%
Han
ValueCountFrequency (%)
酒 1
50.0%
休 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22495
91.5%
ASCII 1894
 
7.7%
None 182
 
0.7%
CJK 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 1813
 
8.1%
인 1466
 
6.5%
사 1424
 
6.3%
법 1397
 
6.2%
회 1340
 
6.0%
업 792
 
3.5%
조 784
 
3.5%
합 747
 
3.3%
영 735
 
3.3%
주 705
 
3.1%
Other values (624) 11292
50.2%
ASCII
ValueCountFrequency (%)
1614
85.2%
) 78
 
4.1%
( 76
 
4.0%
2 7
 
0.4%
1 7
 
0.4%
e 6
 
0.3%
& 6
 
0.3%
O 5
 
0.3%
o 5
 
0.3%
L 5
 
0.3%
Other values (44) 85
 
4.5%
None
ValueCountFrequency (%)
㈜ 182
100.0%
CJK
ValueCountFrequency (%)
酒 1
50.0%
休 1
50.0%

대표자
Text

Distinct1992
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-13T00:54:50.744581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.1350524
Min length2

Characters and Unicode

Total characters7173
Distinct characters254
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1736 ?
Unique (%)75.9%

Sample

1st row박미숙
2nd row유황철
3rd row김종화
4th row 조재열
5th row 배효원
ValueCountFrequency (%)
1명 11
 
0.5%
김영숙 8
 
0.3%
이정희 5
 
0.2%
김정희 5
 
0.2%
박영숙 5
 
0.2%
김영배 4
 
0.2%
윤영우 4
 
0.2%
김숙희 4
 
0.2%
김정숙 4
 
0.2%
김명수 4
 
0.2%
Other values (2020) 2299
97.7%
2023-12-13T00:54:51.339703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 469
 
6.5%
이 329
 
4.6%
정 273
 
3.8%
영 217
 
3.0%
박 153
 
2.1%
수 123
 
1.7%
순 122
 
1.7%
경 117
 
1.6%
숙 114
 
1.6%
현 110
 
1.5%
Other values (244) 5146
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7030
98.0%
Space Separator 77
 
1.1%
Other Punctuation 54
 
0.8%
Decimal Number 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 469
 
6.7%
이 329
 
4.7%
정 273
 
3.9%
영 217
 
3.1%
박 153
 
2.2%
수 123
 
1.7%
순 122
 
1.7%
경 117
 
1.7%
숙 114
 
1.6%
현 110
 
1.6%
Other values (239) 5003
71.2%
Other Punctuation
ValueCountFrequency (%)
, 53
98.1%
/ 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 11
91.7%
2 1
 
8.3%
Space Separator
ValueCountFrequency (%)
77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7030
98.0%
Common 143
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 469
 
6.7%
이 329
 
4.7%
정 273
 
3.9%
영 217
 
3.1%
박 153
 
2.2%
수 123
 
1.7%
순 122
 
1.7%
경 117
 
1.7%
숙 114
 
1.6%
현 110
 
1.6%
Other values (239) 5003
71.2%
Common
ValueCountFrequency (%)
77
53.8%
, 53
37.1%
1 11
 
7.7%
/ 1
 
0.7%
2 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7030
98.0%
ASCII 143
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 469
 
6.7%
이 329
 
4.7%
정 273
 
3.9%
영 217
 
3.1%
박 153
 
2.2%
수 123
 
1.7%
순 122
 
1.7%
경 117
 
1.7%
숙 114
 
1.6%
현 110
 
1.6%
Other values (239) 5003
71.2%
ASCII
ValueCountFrequency (%)
77
53.8%
, 53
37.1%
1 11
 
7.7%
/ 1
 
0.7%
2 1
 
0.7%

소재지
Text

Distinct2264
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-13T00:54:51.794088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length22.780157
Min length12

Characters and Unicode

Total characters52121
Distinct characters449
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

Unique2240 ?
Unique (%)97.9%

Sample

1st row대전광역시 서구 계백로 776번길 154
2nd row대전광역시 대덕구 신탄진로 583번길 41
3rd row울산시 울주군 두서면 미호리 825-4 신우목장내 신우에프티
4th row 경기도 김포시 대곶면 대명리 391
5th row 경기도 김포시 월곶명 오리정로 13 푸드센터 내
ValueCountFrequency (%)
전라북도 317
 
2.7%
전라남도 310
 
2.6%
경기도 224
 
1.9%
경상북도 216
 
1.8%
충청남도 202
 
1.7%
강원도 199
 
1.7%
경상남도 180
 
1.5%
충청북도 149
 
1.3%
제주특별자치도 134
 
1.1%
1층 82
 
0.7%
Other values (4714) 9739
82.9%
2023-12-13T00:54:52.477090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9584
 
18.4%
도 2046
 
3.9%
1 1967
 
3.8%
면 1673
 
3.2%
군 1305
 
2.5%
길 1236
 
2.4%
2 1206
 
2.3%
시 1171
 
2.2%
로 1143
 
2.2%
남 1032
 
2.0%
Other values (439) 29758
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32118
61.6%
Space Separator 9584
 
18.4%
Decimal Number 8830
 
16.9%
Dash Punctuation 1018
 
2.0%
Open Punctuation 211
 
0.4%
Close Punctuation 211
 
0.4%
Other Punctuation 140
 
0.3%
Uppercase Letter 8
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2046
 
6.4%
면 1673
 
5.2%
군 1305
 
4.1%
길 1236
 
3.8%
시 1171
 
3.6%
로 1143
 
3.6%
남 1032
 
3.2%
북 984
 
3.1%
경 833
 
2.6%
전 802
 
2.5%
Other values (416) 19893
61.9%
Decimal Number
ValueCountFrequency (%)
1 1967
22.3%
2 1206
13.7%
3 937
10.6%
4 852
9.6%
5 776
 
8.8%
6 696
 
7.9%
7 683
 
7.7%
0 605
 
6.9%
8 581
 
6.6%
9 527
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
37.5%
D 1
 
12.5%
R 1
 
12.5%
A 1
 
12.5%
I 1
 
12.5%
F 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 139
99.3%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
9584
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1018
100.0%
Open Punctuation
ValueCountFrequency (%)
( 211
100.0%
Close Punctuation
ValueCountFrequency (%)
) 211
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32118
61.6%
Common 19995
38.4%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2046
 
6.4%
면 1673
 
5.2%
군 1305
 
4.1%
길 1236
 
3.8%
시 1171
 
3.6%
로 1143
 
3.6%
남 1032
 
3.2%
북 984
 
3.1%
경 833
 
2.6%
전 802
 
2.5%
Other values (416) 19893
61.9%
Common
ValueCountFrequency (%)
9584
47.9%
1 1967
 
9.8%
2 1206
 
6.0%
- 1018
 
5.1%
3 937
 
4.7%
4 852
 
4.3%
5 776
 
3.9%
6 696
 
3.5%
7 683
 
3.4%
0 605
 
3.0%
Other values (7) 1671
 
8.4%
Latin
ValueCountFrequency (%)
B 3
37.5%
D 1
 
12.5%
R 1
 
12.5%
A 1
 
12.5%
I 1
 
12.5%
F 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32118
61.6%
ASCII 20003
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9584
47.9%
1 1967
 
9.8%
2 1206
 
6.0%
- 1018
 
5.1%
3 937
 
4.7%
4 852
 
4.3%
5 776
 
3.9%
6 696
 
3.5%
7 683
 
3.4%
0 605
 
3.0%
Other values (13) 1679
 
8.4%
Hangul
ValueCountFrequency (%)
도 2046
 
6.4%
면 1673
 
5.2%
군 1305
 
4.1%
길 1236
 
3.8%
시 1171
 
3.6%
로 1143
 
3.6%
남 1032
 
3.2%
북 984
 
3.1%
경 833
 
2.6%
전 802
 
2.5%
Other values (416) 19893
61.9%

Interactions

2023-12-13T00:54:46.365755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:54:52.860884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역
연번1.0000.612
지역0.6121.000
2023-12-13T00:54:52.954518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역
연번1.0000.280
지역0.2801.000

Missing values

2023-12-13T00:54:46.479177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:54:46.672363image/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

연번인증번호지역시군경영체명대표자소재지
012014-06-001대전서구베리팜박미숙대전광역시 서구 계백로 776번길 154
122014-06-002대전대덕신탄진주조유황철대전광역시 대덕구 신탄진로 583번길 41
232014-07-001울산울주군신우에프티김종화울산시 울주군 두서면 미호리 825-4 신우목장내 신우에프티
342014-09-001경기김포시김포파주인삼농협조재열경기도 김포시 대곶면 대명리 391
452014-09-002경기김포시김포농식품가공영농조합배효원경기도 김포시 월곶명 오리정로 13 푸드센터 내
562014-09-003경기김포시꿈목장이윤재경기도 김포시 통진읍 귀전로 56번길 187
672014-09-004경기화성시호트팜이영자경기도 화성시 서신면 은수포길 102
782014-09-005경기화성시또나따목장양의주경기도 화성시 마도면 백곡리 563-5
892014-09-006경기고양시한국상황버섯김현수경기도 고양시 일산서구 덕이로 132-27
9102014-09-007경기파주시장단콩청정식품이완배경기도 파주시 군내면 통일촌길 217(백연리 480-44)
연번인증번호지역시군경영체명대표자소재지
227822792020-16-031경남밀양시상동깻잎원예영농조합법인김응한경상남도 밀양시 상동면 안인로 224
227922802020-16-032경남밀양시만월농원송대원경상남도 밀양시 단장면 표충로 527
228022812020-16-033경남밀양시얼음골사람들박병창경상남도 밀양시 산내면 임고리 1656-3
228122822020-16-034경남밀양시아모리노권준영경상남도 밀양시 부북면 무연리 637-2
228222832020-16-035경남밀양시청정표고마실권용철경상남도 밀양시 산외면 희곡1길 66-33, 다동(외1필지)
228322842020-17-016제주제주시오라향 농업회사법인 주식회사강민정제주특별자치도 제주시 애월읍 하소로 202
228422852020-17-017제주제주시나리플라워강원모제주특별자치도 제주시 조천읍 일주동로 669-14
228522862020-17-018제주서귀포시성지영농조합법인장기철제주특별자치도 서귀포시 일주동로 8503(토평동)
228622872020-17-019제주서귀포시정뱅이강유옥제주특별자치도 서귀포시 표선면 성읍정의현로22번길 11
228722882020-17-020제주서귀포시물드련마씸강인옥제주특별자치도 서귀포시 남원읍 한신로 179-3