Overview

Dataset statistics

Number of variables12
Number of observations335
Missing cells52
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.8 KiB
Average record size in memory100.4 B

Variable types

Categorical3
Text5
Numeric4

Dataset

DescriptionG마크 등록업체 현황
Author경기도농수산진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=8R88799N8707DHCG3TM72351702&infSeq=1

Alerts

인증종료일자 is highly overall correlated with 인증시작일자High correlation
인증시작일자 is highly overall correlated with 인증종료일자High correlation
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
사업자등록번호 has 46 (13.7%) missing valuesMissing

Reproduction

Analysis started2024-04-14 04:47:08.329569
Analysis finished2024-04-14 04:47:11.578078
Duration3.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
파주시
34 
고양시
31 
화성시
30 
양평군
26 
김포시
24 
Other values (22)
190 

Length

Max length4
Median length3
Mean length3.041791
Min length3

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 34
 
10.1%
고양시 31
 
9.3%
화성시 30
 
9.0%
양평군 26
 
7.8%
김포시 24
 
7.2%
안성시 24
 
7.2%
평택시 21
 
6.3%
여주시 21
 
6.3%
이천시 18
 
5.4%
광주시 16
 
4.8%
Other values (17) 90
26.9%

Length

2024-04-14T13:47:11.628578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 34
 
10.1%
고양시 31
 
9.3%
화성시 30
 
9.0%
양평군 26
 
7.8%
김포시 24
 
7.2%
안성시 24
 
7.2%
평택시 21
 
6.3%
여주시 21
 
6.3%
이천시 18
 
5.4%
광주시 16
 
4.8%
Other values (17) 90
26.9%

업체명
Text

Distinct327
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-14T13:47:11.792502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length9.7134328
Min length2

Characters and Unicode

Total characters3254
Distinct characters344
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)95.2%

Sample

1st row전통주 연구개발원
2nd row가평군산림조합
3rd row가평군축령산잣영농조합
4th row가평축산업협동조합
5th row유명산한들농원
ValueCountFrequency (%)
농업회사법인 58
 
12.5%
주식회사 27
 
5.8%
농업회사법인㈜ 6
 
1.3%
영농조합법인 5
 
1.1%
한국농협김치조합공동사업법인 3
 
0.6%
농업회사법인㈜행복한버섯 2
 
0.4%
표고농장 2
 
0.4%
가래실 2
 
0.4%
남양주먹골배 2
 
0.4%
유한회사 2
 
0.4%
Other values (348) 356
76.6%
2024-04-14T13:47:12.118113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 234
 
7.2%
사 165
 
5.1%
인 144
 
4.4%
업 134
 
4.1%
회 133
 
4.1%
130
 
4.0%
법 129
 
4.0%
합 75
 
2.3%
㈜ 74
 
2.3%
주 74
 
2.3%
Other values (334) 1962
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2931
90.1%
Space Separator 130
 
4.0%
Other Symbol 74
 
2.3%
Close Punctuation 39
 
1.2%
Open Punctuation 39
 
1.2%
Uppercase Letter 34
 
1.0%
Lowercase Letter 4
 
0.1%
Decimal Number 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 234
 
8.0%
사 165
 
5.6%
인 144
 
4.9%
업 134
 
4.6%
회 133
 
4.5%
법 129
 
4.4%
합 75
 
2.6%
주 74
 
2.5%
조 64
 
2.2%
식 58
 
2.0%
Other values (312) 1721
58.7%
Uppercase Letter
ValueCountFrequency (%)
C 6
17.6%
P 5
14.7%
D 4
11.8%
M 4
11.8%
G 3
8.8%
R 3
8.8%
Z 3
8.8%
S 2
 
5.9%
H 1
 
2.9%
A 1
 
2.9%
Other values (2) 2
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
p 2
50.0%
a 1
25.0%
y 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
130
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3005
92.3%
Common 211
 
6.5%
Latin 38
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 234
 
7.8%
사 165
 
5.5%
인 144
 
4.8%
업 134
 
4.5%
회 133
 
4.4%
법 129
 
4.3%
합 75
 
2.5%
㈜ 74
 
2.5%
주 74
 
2.5%
조 64
 
2.1%
Other values (313) 1779
59.2%
Latin
ValueCountFrequency (%)
C 6
15.8%
P 5
13.2%
D 4
10.5%
M 4
10.5%
G 3
7.9%
R 3
7.9%
Z 3
7.9%
S 2
 
5.3%
p 2
 
5.3%
H 1
 
2.6%
Other values (5) 5
13.2%
Common
ValueCountFrequency (%)
130
61.6%
) 39
 
18.5%
( 39
 
18.5%
& 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2931
90.1%
ASCII 249
 
7.7%
None 74
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 234
 
8.0%
사 165
 
5.6%
인 144
 
4.9%
업 134
 
4.6%
회 133
 
4.5%
법 129
 
4.4%
합 75
 
2.6%
주 74
 
2.5%
조 64
 
2.2%
식 58
 
2.0%
Other values (312) 1721
58.7%
ASCII
ValueCountFrequency (%)
130
52.2%
) 39
 
15.7%
( 39
 
15.7%
C 6
 
2.4%
P 5
 
2.0%
D 4
 
1.6%
M 4
 
1.6%
G 3
 
1.2%
R 3
 
1.2%
Z 3
 
1.2%
Other values (11) 13
 
5.2%
None
ValueCountFrequency (%)
㈜ 74
100.0%

인증품목내용
Text

Distinct244
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-14T13:47:12.441592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length566
Median length240
Mean length38.752239
Min length1

Characters and Unicode

Total characters12982
Distinct characters565
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)67.8%

Sample

1st row잣진주, 청진주
2nd row가평잣(황잣, 백잣)
3rd row가평군축령산잣영농조합 잣
4th row한우고기(가평산들만찬한우)
5th row생목이버섯, 건목이버섯
ValueCountFrequency (%)
표고버섯 36
 
2.0%
느타리버섯 20
 
1.1%
김치류 20
 
1.1%
사과 16
 
0.9%
1kg 12
 
0.7%
우리밀 12
 
0.7%
깍두기 12
 
0.7%
만든 11
 
0.6%
총각김치 10
 
0.6%
신세대 10
 
0.6%
Other values (1125) 1616
91.0%
2024-04-14T13:47:12.958738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1504
 
11.6%
, 1395
 
10.7%
치 349
 
2.7%
) 307
 
2.4%
( 305
 
2.3%
김 275
 
2.1%
리 200
 
1.5%
고 197
 
1.5%
이 184
 
1.4%
기 153
 
1.2%
Other values (555) 8113
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8955
69.0%
Space Separator 1504
 
11.6%
Other Punctuation 1436
 
11.1%
Close Punctuation 310
 
2.4%
Open Punctuation 308
 
2.4%
Decimal Number 255
 
2.0%
Uppercase Letter 121
 
0.9%
Lowercase Letter 86
 
0.7%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 349
 
3.9%
김 275
 
3.1%
리 200
 
2.2%
고 197
 
2.2%
이 184
 
2.1%
기 153
 
1.7%
품 124
 
1.4%
가 118
 
1.3%
오 112
 
1.3%
추 110
 
1.2%
Other values (500) 7133
79.7%
Lowercase Letter
ValueCountFrequency (%)
g 36
41.9%
k 16
18.6%
e 5
 
5.8%
u 4
 
4.7%
a 3
 
3.5%
r 3
 
3.5%
t 2
 
2.3%
n 2
 
2.3%
i 2
 
2.3%
s 2
 
2.3%
Other values (7) 11
 
12.8%
Uppercase Letter
ValueCountFrequency (%)
G 38
31.4%
P 37
30.6%
A 16
13.2%
S 5
 
4.1%
M 4
 
3.3%
Z 4
 
3.3%
D 4
 
3.3%
O 3
 
2.5%
B 3
 
2.5%
N 3
 
2.5%
Other values (3) 4
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 58
22.7%
0 46
18.0%
2 34
13.3%
5 29
11.4%
3 25
9.8%
6 19
 
7.5%
7 13
 
5.1%
4 11
 
4.3%
8 11
 
4.3%
9 9
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 1395
97.1%
: 17
 
1.2%
/ 11
 
0.8%
. 8
 
0.6%
% 4
 
0.3%
? 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 307
99.0%
] 2
 
0.6%
} 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 305
99.0%
[ 2
 
0.6%
{ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8952
69.0%
Common 3820
29.4%
Latin 207
 
1.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 349
 
3.9%
김 275
 
3.1%
리 200
 
2.2%
고 197
 
2.2%
이 184
 
2.1%
기 153
 
1.7%
품 124
 
1.4%
가 118
 
1.3%
오 112
 
1.3%
추 110
 
1.2%
Other values (498) 7130
79.6%
Latin
ValueCountFrequency (%)
G 38
18.4%
P 37
17.9%
g 36
17.4%
k 16
 
7.7%
A 16
 
7.7%
S 5
 
2.4%
e 5
 
2.4%
M 4
 
1.9%
Z 4
 
1.9%
D 4
 
1.9%
Other values (20) 42
20.3%
Common
ValueCountFrequency (%)
1504
39.4%
, 1395
36.5%
) 307
 
8.0%
( 305
 
8.0%
1 58
 
1.5%
0 46
 
1.2%
2 34
 
0.9%
5 29
 
0.8%
3 25
 
0.7%
6 19
 
0.5%
Other values (15) 98
 
2.6%
Han
ValueCountFrequency (%)
海 2
66.7%
愛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8952
69.0%
ASCII 4027
31.0%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1504
37.3%
, 1395
34.6%
) 307
 
7.6%
( 305
 
7.6%
1 58
 
1.4%
0 46
 
1.1%
G 38
 
0.9%
P 37
 
0.9%
g 36
 
0.9%
2 34
 
0.8%
Other values (45) 267
 
6.6%
Hangul
ValueCountFrequency (%)
치 349
 
3.9%
김 275
 
3.1%
리 200
 
2.2%
고 197
 
2.2%
이 184
 
2.1%
기 153
 
1.7%
품 124
 
1.4%
가 118
 
1.3%
오 112
 
1.3%
추 110
 
1.2%
Other values (498) 7130
79.6%
CJK
ValueCountFrequency (%)
海 2
66.7%
愛 1
33.3%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct279
Distinct (%)96.5%
Missing46
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean2.7021206 × 109
Minimum4.9998412 × 108
Maximum8.6896004 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-14T13:47:13.069743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9998412 × 108
5-th percentile1.248176 × 109
Q11.2692315 × 109
median1.3791019 × 109
Q33.7286005 × 109
95-th percentile7.4253204 × 109
Maximum8.6896004 × 109
Range8.1896163 × 109
Interquartile range (IQR)2.459369 × 109

Descriptive statistics

Standard deviation2.1572494 × 109
Coefficient of variation (CV)0.79835422
Kurtosis0.30549133
Mean2.7021206 × 109
Median Absolute Deviation (MAD)1.2090774 × 108
Skewness1.318615
Sum7.8091285 × 1011
Variance4.6537249 × 1018
MonotonicityNot monotonic
2024-04-14T13:47:13.163933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7348500487 2
 
0.6%
1258211345 2
 
0.6%
1240573497 2
 
0.6%
1420364051 2
 
0.6%
2318104079 2
 
0.6%
1268140638 2
 
0.6%
3748800952 2
 
0.6%
1438123221 2
 
0.6%
3618101034 2
 
0.6%
1288678663 2
 
0.6%
Other values (269) 269
80.3%
(Missing) 46
 
13.7%
ValueCountFrequency (%)
499984119 1
0.3%
1098178672 1
0.3%
1108218778 1
0.3%
1148172141 1
0.3%
1160314095 1
0.3%
1218701836 1
0.3%
1238164500 1
0.3%
1240573497 2
0.6%
1240775238 1
0.3%
1243246924 1
0.3%
ValueCountFrequency (%)
8689600433 1
0.3%
8478102589 1
0.3%
8430300242 1
0.3%
8308800879 1
0.3%
8188801484 1
0.3%
7938100998 1
0.3%
7788701331 1
0.3%
7658802665 1
0.3%
7613800336 1
0.3%
7609001475 1
0.3%

인증번호
Text

Distinct330
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-14T13:47:13.412644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9970149
Min length9

Characters and Unicode

Total characters3349
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

Unique325 ?
Unique (%)97.0%

Sample

1st row23-113-005
2nd row00-107-015
3rd row05-107-017
4th row07-106-017
5th row21-104-009
ValueCountFrequency (%)
22-102-002 2
 
0.6%
23-113-009 2
 
0.6%
23-113-006 2
 
0.6%
23-113-007 2
 
0.6%
23-113-008 2
 
0.6%
07-106-022 1
 
0.3%
12-106-003 1
 
0.3%
12-104-001 1
 
0.3%
13-102-002 1
 
0.3%
14-103-001 1
 
0.3%
Other values (320) 320
95.5%
2024-04-14T13:47:13.751491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1021
30.5%
1 789
23.6%
- 670
20.0%
2 287
 
8.6%
3 184
 
5.5%
4 124
 
3.7%
6 74
 
2.2%
8 55
 
1.6%
5 53
 
1.6%
7 49
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2679
80.0%
Dash Punctuation 670
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1021
38.1%
1 789
29.5%
2 287
 
10.7%
3 184
 
6.9%
4 124
 
4.6%
6 74
 
2.8%
8 55
 
2.1%
5 53
 
2.0%
7 49
 
1.8%
9 43
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 670
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1021
30.5%
1 789
23.6%
- 670
20.0%
2 287
 
8.6%
3 184
 
5.5%
4 124
 
3.7%
6 74
 
2.2%
8 55
 
1.6%
5 53
 
1.6%
7 49
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1021
30.5%
1 789
23.6%
- 670
20.0%
2 287
 
8.6%
3 184
 
5.5%
4 124
 
3.7%
6 74
 
2.2%
8 55
 
1.6%
5 53
 
1.6%
7 49
 
1.5%

인증시작일자
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-01-01
88 
2023-07-01
84 
2023-10-01
61 
2023-04-01
34 
2023-01-01
21 
Other values (3)
47 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-01
2nd row2023-10-01
3rd row2023-10-01
4th row2024-01-01
5th row2023-10-01

Common Values

ValueCountFrequency (%)
2024-01-01 88
26.3%
2023-07-01 84
25.1%
2023-10-01 61
18.2%
2023-04-01 34
 
10.1%
2023-01-01 21
 
6.3%
2022-10-01 21
 
6.3%
2022-07-01 15
 
4.5%
2024-04-01 11
 
3.3%

Length

2024-04-14T13:47:13.854789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T13:47:13.933976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-01 88
26.3%
2023-07-01 84
25.1%
2023-10-01 61
18.2%
2023-04-01 34
 
10.1%
2023-01-01 21
 
6.3%
2022-10-01 21
 
6.3%
2022-07-01 15
 
4.5%
2024-04-01 11
 
3.3%

인증종료일자
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2025-12-31
84 
2025-06-30
67 
2025-09-30
60 
2025-03-31
34 
2024-12-31
31 
Other values (3)
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2025-06-30
2nd row2025-09-30
3rd row2025-09-30
4th row2025-12-31
5th row2025-09-30

Common Values

ValueCountFrequency (%)
2025-12-31 84
25.1%
2025-06-30 67
20.0%
2025-09-30 60
17.9%
2025-03-31 34
10.1%
2024-12-31 31
 
9.3%
2024-09-30 29
 
8.7%
2024-06-30 19
 
5.7%
2026-03-31 11
 
3.3%

Length

2024-04-14T13:47:14.025290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T13:47:14.104095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2025-12-31 84
25.1%
2025-06-30 67
20.0%
2025-09-30 60
17.9%
2025-03-31 34
10.1%
2024-12-31 31
 
9.3%
2024-09-30 29
 
8.7%
2024-06-30 19
 
5.7%
2026-03-31 11
 
3.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct256
Distinct (%)76.9%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean13740.883
Minimum10003
Maximum18626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-14T13:47:14.207921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10003
5-th percentile10057.2
Q110866
median12611
Q317401
95-th percentile18527
Maximum18626
Range8623
Interquartile range (IQR)6535

Descriptive statistics

Standard deviation3084.4239
Coefficient of variation (CV)0.22447057
Kurtosis-1.5110618
Mean13740.883
Median Absolute Deviation (MAD)2315
Skewness0.37997288
Sum4575714
Variance9513670.7
MonotonicityNot monotonic
2024-04-14T13:47:14.305662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12544 6
 
1.8%
10013 4
 
1.2%
17505 4
 
1.2%
11008 4
 
1.2%
10858 3
 
0.9%
10203 3
 
0.9%
12611 3
 
0.9%
12660 3
 
0.9%
10804 3
 
0.9%
10201 3
 
0.9%
Other values (246) 297
88.7%
ValueCountFrequency (%)
10003 1
 
0.3%
10005 1
 
0.3%
10007 1
 
0.3%
10009 2
0.6%
10013 4
1.2%
10014 1
 
0.3%
10015 1
 
0.3%
10016 1
 
0.3%
10024 1
 
0.3%
10037 1
 
0.3%
ValueCountFrequency (%)
18626 1
0.3%
18589 1
0.3%
18583 1
0.3%
18577 1
0.3%
18574 2
0.6%
18573 1
0.3%
18569 1
0.3%
18563 1
0.3%
18556 2
0.6%
18553 1
0.3%

소재지지번주소
Text

Distinct322
Distinct (%)96.4%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2024-04-14T13:47:14.713323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length22.341317
Min length16

Characters and Unicode

Total characters7462
Distinct characters206
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)93.1%

Sample

1st row경기도 가평군 가평읍 산유리 649-8번지
2nd row경기도 가평군 가평읍 상색리 413-1번지
3rd row경기도 가평군 상면 행현리 89-1번지
4th row경기도 가평군 가평읍 달전리 382-1번지
5th row경기도 가평군 설악면 방일리 356번지
ValueCountFrequency (%)
경기도 334
 
20.2%
파주시 34
 
2.1%
고양시 31
 
1.9%
화성시 29
 
1.8%
양평군 26
 
1.6%
김포시 24
 
1.5%
안성시 24
 
1.5%
여주시 21
 
1.3%
평택시 21
 
1.3%
이천시 18
 
1.1%
Other values (706) 1091
66.0%
2024-04-14T13:47:15.065856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1319
 
17.7%
도 351
 
4.7%
지 348
 
4.7%
기 341
 
4.6%
경 334
 
4.5%
번 324
 
4.3%
시 293
 
3.9%
1 262
 
3.5%
리 255
 
3.4%
- 230
 
3.1%
Other values (196) 3405
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4652
62.3%
Space Separator 1319
 
17.7%
Decimal Number 1260
 
16.9%
Dash Punctuation 230
 
3.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 351
 
7.5%
지 348
 
7.5%
기 341
 
7.3%
경 334
 
7.2%
번 324
 
7.0%
시 293
 
6.3%
리 255
 
5.5%
면 179
 
3.8%
양 119
 
2.6%
동 118
 
2.5%
Other values (183) 1990
42.8%
Decimal Number
ValueCountFrequency (%)
1 262
20.8%
2 167
13.3%
3 125
9.9%
4 123
9.8%
5 117
9.3%
6 113
9.0%
8 100
 
7.9%
7 98
 
7.8%
9 87
 
6.9%
0 68
 
5.4%
Space Separator
ValueCountFrequency (%)
1319
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4652
62.3%
Common 2810
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 351
 
7.5%
지 348
 
7.5%
기 341
 
7.3%
경 334
 
7.2%
번 324
 
7.0%
시 293
 
6.3%
리 255
 
5.5%
면 179
 
3.8%
양 119
 
2.6%
동 118
 
2.5%
Other values (183) 1990
42.8%
Common
ValueCountFrequency (%)
1319
46.9%
1 262
 
9.3%
- 230
 
8.2%
2 167
 
5.9%
3 125
 
4.4%
4 123
 
4.4%
5 117
 
4.2%
6 113
 
4.0%
8 100
 
3.6%
7 98
 
3.5%
Other values (3) 156
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4652
62.3%
ASCII 2810
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1319
46.9%
1 262
 
9.3%
- 230
 
8.2%
2 167
 
5.9%
3 125
 
4.4%
4 123
 
4.4%
5 117
 
4.2%
6 113
 
4.0%
8 100
 
3.6%
7 98
 
3.5%
Other values (3) 156
 
5.6%
Hangul
ValueCountFrequency (%)
도 351
 
7.5%
지 348
 
7.5%
기 341
 
7.3%
경 334
 
7.2%
번 324
 
7.0%
시 293
 
6.3%
리 255
 
5.5%
면 179
 
3.8%
양 119
 
2.6%
동 118
 
2.5%
Other values (183) 1990
42.8%

소재지도로명주소
Text

Distinct322
Distinct (%)96.4%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2024-04-14T13:47:15.315599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length28
Mean length21.54491
Min length14

Characters and Unicode

Total characters7196
Distinct characters265
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)93.1%

Sample

1st row경기도 가평군 가평읍 분자골로68번길 82
2nd row경기도 가평군 가평읍 경춘로 1719
3rd row경기도 가평군 상면 축령로 70
4th row경기도 가평군 가평읍 달전로 19
5th row경기도 가평군 설악면 평촌길 44-523
ValueCountFrequency (%)
경기도 334
 
20.2%
파주시 34
 
2.1%
고양시 31
 
1.9%
화성시 29
 
1.8%
양평군 26
 
1.6%
김포시 24
 
1.5%
안성시 24
 
1.5%
평택시 21
 
1.3%
여주시 21
 
1.3%
이천시 18
 
1.1%
Other values (700) 1093
66.0%
2024-04-14T13:47:15.663439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1321
 
18.4%
도 347
 
4.8%
경 343
 
4.8%
기 340
 
4.7%
시 296
 
4.1%
1 296
 
4.1%
로 219
 
3.0%
길 190
 
2.6%
2 183
 
2.5%
면 179
 
2.5%
Other values (255) 3482
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4340
60.3%
Decimal Number 1381
 
19.2%
Space Separator 1321
 
18.4%
Dash Punctuation 138
 
1.9%
Other Punctuation 10
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 347
 
8.0%
경 343
 
7.9%
기 340
 
7.8%
시 296
 
6.8%
로 219
 
5.0%
길 190
 
4.4%
면 179
 
4.1%
양 122
 
2.8%
성 103
 
2.4%
주 89
 
2.1%
Other values (240) 2112
48.7%
Decimal Number
ValueCountFrequency (%)
1 296
21.4%
2 183
13.3%
3 156
11.3%
4 127
9.2%
5 126
9.1%
6 108
 
7.8%
7 108
 
7.8%
8 101
 
7.3%
9 92
 
6.7%
0 84
 
6.1%
Space Separator
ValueCountFrequency (%)
1321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4340
60.3%
Common 2856
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 347
 
8.0%
경 343
 
7.9%
기 340
 
7.8%
시 296
 
6.8%
로 219
 
5.0%
길 190
 
4.4%
면 179
 
4.1%
양 122
 
2.8%
성 103
 
2.4%
주 89
 
2.1%
Other values (240) 2112
48.7%
Common
ValueCountFrequency (%)
1321
46.3%
1 296
 
10.4%
2 183
 
6.4%
3 156
 
5.5%
- 138
 
4.8%
4 127
 
4.4%
5 126
 
4.4%
6 108
 
3.8%
7 108
 
3.8%
8 101
 
3.5%
Other values (5) 192
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4340
60.3%
ASCII 2856
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1321
46.3%
1 296
 
10.4%
2 183
 
6.4%
3 156
 
5.5%
- 138
 
4.8%
4 127
 
4.4%
5 126
 
4.4%
6 108
 
3.8%
7 108
 
3.8%
8 101
 
3.5%
Other values (5) 192
 
6.7%
Hangul
ValueCountFrequency (%)
도 347
 
8.0%
경 343
 
7.9%
기 340
 
7.8%
시 296
 
6.8%
로 219
 
5.0%
길 190
 
4.4%
면 179
 
4.1%
양 122
 
2.8%
성 103
 
2.4%
주 89
 
2.1%
Other values (240) 2112
48.7%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct322
Distinct (%)96.4%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean37.462244
Minimum36.934959
Maximum38.124546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-14T13:47:15.773797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.934959
5-th percentile36.999891
Q137.18252
median37.437444
Q337.705946
95-th percentile37.961744
Maximum38.124546
Range1.1895866
Interquartile range (IQR)0.5234261

Descriptive statistics

Standard deviation0.30989478
Coefficient of variation (CV)0.0082721896
Kurtosis-1.1787431
Mean37.462244
Median Absolute Deviation (MAD)0.2621678
Skewness0.12116464
Sum12512.389
Variance0.096034777
MonotonicityNot monotonic
2024-04-14T13:47:15.879030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2600179314 3
 
0.9%
37.816393255 2
 
0.6%
37.639232488 2
 
0.6%
37.298861791 2
 
0.6%
38.0293028162 2
 
0.6%
37.3165334089 2
 
0.6%
37.0816877998 2
 
0.6%
37.9251987037 2
 
0.6%
37.1380862436 2
 
0.6%
37.1577792297 2
 
0.6%
Other values (312) 313
93.4%
ValueCountFrequency (%)
36.934959056 1
0.3%
36.944700289 1
0.3%
36.9501511771 1
0.3%
36.9571959319 1
0.3%
36.9698918252 1
0.3%
36.9704574983 1
0.3%
36.9787407832 1
0.3%
36.9799614336 1
0.3%
36.9800520574 1
0.3%
36.983140812 1
0.3%
ValueCountFrequency (%)
38.124545689 1
0.3%
38.0554127533 1
0.3%
38.0354663695 1
0.3%
38.033068894 1
0.3%
38.0293028162 2
0.6%
38.0265937528 1
0.3%
38.0215471219 1
0.3%
38.0204543429 1
0.3%
38.0144110269 1
0.3%
37.9987008254 1
0.3%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct322
Distinct (%)96.4%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean127.09912
Minimum126.53676
Maximum127.74907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-14T13:47:15.977952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53676
5-th percentile126.64912
Q1126.8288
median127.07135
Q3127.33094
95-th percentile127.61042
Maximum127.74907
Range1.2123165
Interquartile range (IQR)0.50214133

Descriptive statistics

Standard deviation0.3112411
Coefficient of variation (CV)0.002448806
Kurtosis-1.0888098
Mean127.09912
Median Absolute Deviation (MAD)0.25088696
Skewness0.21192932
Sum42451.107
Variance0.09687102
MonotonicityNot monotonic
2024-04-14T13:47:16.083660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0302599543 3
 
0.9%
126.6923219713 2
 
0.6%
126.7786390842 2
 
0.6%
127.6042914802 2
 
0.6%
127.0447719819 2
 
0.6%
127.2092521684 2
 
0.6%
127.2523201849 2
 
0.6%
126.8368637871 2
 
0.6%
126.8379417973 2
 
0.6%
127.0054970496 2
 
0.6%
Other values (312) 313
93.4%
ValueCountFrequency (%)
126.5367577017 1
0.3%
126.5637744895 1
0.3%
126.5707596269 1
0.3%
126.5721371239 1
0.3%
126.5957218914 1
0.3%
126.5992712386 1
0.3%
126.6098090349 1
0.3%
126.6127856467 1
0.3%
126.6130853863 1
0.3%
126.6189752809 1
0.3%
ValueCountFrequency (%)
127.7490742266 1
0.3%
127.7119935392 1
0.3%
127.7104847981 1
0.3%
127.7006380232 1
0.3%
127.6940130792 1
0.3%
127.6880434822 1
0.3%
127.6593567928 1
0.3%
127.6582468109 1
0.3%
127.6466263915 1
0.3%
127.6428124108 1
0.3%

Interactions

2024-04-14T13:47:11.024764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.265764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.537973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.783351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:11.087806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.355128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.592858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.841555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:11.148511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.416059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.652869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.899127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:11.211188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.475962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.719151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T13:47:10.960815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T13:47:16.152003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사업자등록번호인증시작일자인증종료일자소재지우편번호WGS84위도WGS84경도
시군명1.0000.4630.3910.3160.9970.9350.913
사업자등록번호0.4631.0000.2360.2160.3890.2670.247
인증시작일자0.3910.2361.0000.9980.1310.1370.142
인증종료일자0.3160.2160.9981.0000.0000.0000.132
소재지우편번호0.9970.3890.1310.0001.0000.8870.848
WGS84위도0.9350.2670.1370.0000.8871.0000.719
WGS84경도0.9130.2470.1420.1320.8480.7191.000
2024-04-14T13:47:16.230786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증종료일자인증시작일자시군명
인증종료일자1.0000.9240.127
인증시작일자0.9241.0000.162
시군명0.1270.1621.000
2024-04-14T13:47:16.296906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호소재지우편번호WGS84위도WGS84경도시군명인증시작일자인증종료일자
사업자등록번호1.000-0.2390.203-0.1000.1790.1140.104
소재지우편번호-0.2391.000-0.8570.3800.9560.0620.000
WGS84위도0.203-0.8571.000-0.2850.6820.0650.000
WGS84경도-0.1000.380-0.2851.0000.6230.0670.062
시군명0.1790.9560.6820.6231.0000.1620.127
인증시작일자0.1140.0620.0650.0670.1621.0000.924
인증종료일자0.1040.0000.0000.0620.1270.9241.000

Missing values

2024-04-14T13:47:11.304771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T13:47:11.423557image/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.
2024-04-14T13:47:11.521587image/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

시군명업체명인증품목내용사업자등록번호인증번호인증시작일자인증종료일자소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군전통주 연구개발원잣진주, 청진주132272803523-113-0052023-07-012025-06-3012429경기도 가평군 가평읍 산유리 649-8번지경기도 가평군 가평읍 분자골로68번길 8237.7631127.49933
1가평군가평군산림조합가평잣(황잣, 백잣)132821012100-107-0152023-10-012025-09-3012426경기도 가평군 가평읍 상색리 413-1번지경기도 가평군 가평읍 경춘로 171937.794869127.476477
2가평군가평군축령산잣영농조합가평군축령산잣영농조합 잣132813490305-107-0172023-10-012025-09-3012448경기도 가평군 상면 행현리 89-1번지경기도 가평군 상면 축령로 7037.774145127.364545
3가평군가평축산업협동조합한우고기(가평산들만찬한우)132820828407-106-0172024-01-012025-12-3112422경기도 가평군 가평읍 달전리 382-1번지경기도 가평군 가평읍 달전로 1937.816034127.516349
4가평군유명산한들농원생목이버섯, 건목이버섯742920044821-104-0092023-10-012025-09-3012472경기도 가평군 설악면 방일리 356번지경기도 가평군 설악면 평촌길 44-52337.616533127.493292
5가평군가평잣사랑및산림경영영농조합법인잣132819429311-107-0022023-07-012025-06-3012403경기도 가평군 북면 목동리 560번지경기도 가평군 북면 멱골로 202-937.907008127.573736
6가평군가평군농업협동조합쌀(친환경: 삼광,참드림,대안)132820417714-101-0052023-07-012024-12-3112418경기도 가평군 가평읍 읍내리 465번지경기도 가평군 가평읍 보납로 2037.830626127.512739
7가평군가평사과 영농조합법인사과299860257721-102-0012023-01-012024-12-3112406경기도 가평군 북면 백둔리 224경기도 가평군 북면 백둔리 22437.908117127.468636
8가평군가평잣마을잣132922230611-107-0012023-07-012025-06-3012407경기도 가평군 북면 이곡리 494번지경기도 가평군 북면 가화로 74537.876456127.52613
9고양시농업회사법인 주식회사 기린에프디콩나물, 숙주나물121870183623-103-0042023-01-012024-12-3110453경기도 고양시 일산동구 산황동 748-3번지경기도 고양시 일산동구 고일로252번길 5637.650931126.802422
시군명업체명인증품목내용사업자등록번호인증번호인증시작일자인증종료일자소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
325화성시㈜미당총 32품목(추어탕, 용대리황태국, 시래기된장국, 묵은지찌개, 성게미역국, 육개장, 뼈없는 감자탕, 민물장어탕, 우렁된장찌개, 미당묵은지김치찜, 구수한 청국장찌개, 차돌된장찌개, 소고기해장국, 미당알탕, 보리새우아욱국, 소고기미역국, 진추어탕, 차돌된장찌개, 진시래기국, 성게미역국, 진버섯들깨탕, 소고기미역국, 감자탕, 육개장, 깊고 구수한 우리콩 청국장찌개, 웰국남원골추어탕, 미당 뼈없는 감자탕, 미당 고기듬뿍 소고기탕, 미당 보리새우아욱국, 가치차린 알탕, 가치차린 부대찌개, 전복성개미역국)124862691720-113-0012024-01-012025-12-3118343경기도 화성시 기안동 457-14번지경기도 화성시 융건로 41-2637.218063126.983869
326화성시정원농산느타리버섯143812322120-104-0032023-10-012025-09-3018556경기도 화성시 서신면 궁평리 473번지경기도 화성시 서신면 수문개길 3437.126271126.690236
327화성시화성해풍참사과영농조합법인사과531860172020-102-0022022-10-012024-09-3018532경기도 화성시 팔탄면 구장리 254-1번지경기도 화성시 팔탄면 약수터길 1237.159834126.90714
328화성시농업회사법인 ㈜삼신후르츠후레쉬배(조각과일배)138814496119-113-0012023-01-012024-12-3118516경기도 화성시 정남면 보통리 186-4번지경기도 화성시 정남면 괘랑보통길 14937.186455126.980569
329화성시농업회사법인 팜스토리㈜포도, 샤인머스켓343810110921-102-0042023-10-012025-09-30<NA>경기도 화성시 송산면 삼존리 1229-1, 1230경기도 화성시 송산면 삼존리 1229-1, 123037.220326126.733118
330화성시선농종합식품㈜김치류 5품목(선농원전통포기김치, 선농원전통맛김치, 선농원전통깍두기김치, 선농원전통총각김치, 선농원전통열무김치)124812321621-110-0012023-04-012025-03-3118573경기도 화성시 우정읍 이화리 179-1번지경기도 화성시 우정읍 포승향남로 940-537.034307126.807923
331화성시경기남부수협 김가공센터조미김(마음다海 수협 재래김, 마음다海 수협 파래김))406820272622-108-0022024-01-012025-12-3118556경기도 화성시 서신면 궁평리 712번지경기도 화성시 서신면 궁평항로 1178-8637.119382126.701824
332화성시제부도전통양주천연발효식초 6품목(화성에서온삼해고운초, 화성에서온포도식초, 화성에서온현미흑초, 화성에서온인삼흑초, 화성에서온발아현미초, 화성에서온돼지감자초)209181635122-113-0062022-10-012024-09-3018553경기도 화성시 서신면 송교리 125번지경기도 화성시 서신면 제부로 441-737.164808126.670982
333화성시화성열매협동조합아침애생사과즙218812339323-113-0062023-01-012024-12-3118533경기도 화성시 팔탄면 가재리 516-4번지경기도 화성시 팔탄면 모시울길 1937.146966126.918929
334화성시팔탄농업협동조합쌀(GAP 골드퀸3호, 진상2호)124820114502-101-0042023-10-012025-09-3018577경기도 화성시 팔탄면 매곡리 178-1번지경기도 화성시 팔탄면 버들로 163737.113684126.881027