Overview

Dataset statistics

Number of variables12
Number of observations240
Missing cells10
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory100.5 B

Variable types

Categorical2
Text5
Numeric4
DateTime1

Dataset

Description경기 농촌 융·복합 산업 인증사업자 현황
Author경기도농수산진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=XHG85XOUMYIC4T8FRIOQ30225777&infSeq=1

Alerts

우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 우편번호 and 2 other fieldsHigh correlation
소재지도로명주소 has 10 (4.2%) missing valuesMissing
인증업체 has unique valuesUnique
인증번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:11:08.431653
Analysis finished2023-12-10 21:11:11.162477
Duration2.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
파주시
26 
양평군
24 
용인시
22 
여주시
21 
남양주시
19 
Other values (15)
128 

Length

Max length4
Median length3
Mean length3.0833333
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 26
10.8%
양평군 24
10.0%
용인시 22
9.2%
여주시 21
8.8%
남양주시 19
 
7.9%
김포시 18
 
7.5%
화성시 17
 
7.1%
이천시 16
 
6.7%
포천시 15
 
6.2%
평택시 13
 
5.4%
Other values (10) 49
20.4%

Length

2023-12-11T06:11:11.228656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
파주시 26
10.8%
양평군 24
10.0%
용인시 22
9.2%
여주시 21
8.8%
남양주시 19
 
7.9%
김포시 18
 
7.5%
화성시 17
 
7.1%
이천시 16
 
6.7%
포천시 15
 
6.2%
평택시 13
 
5.4%
Other values (10) 49
20.4%

인증업체
Text

UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T06:11:11.478547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length10.0125
Min length2

Characters and Unicode

Total characters2403
Distinct characters346
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

Unique240 ?
Unique (%)100.0%

Sample

1st row가평특선주영농조합
2nd row하가원
3rd row영농조합법인 덕은
4th row농업회사법인 주식회사 코리안파인
5th row가평축산업협동조합경제사업본부
ValueCountFrequency (%)
농업회사법인 61
 
15.6%
주식회사 50
 
12.8%
영농조합법인 12
 
3.1%
㈜ 5
 
1.3%
농업회사법인주식회사 2
 
0.5%
유한회사 2
 
0.5%
돼지보러오면돼지 1
 
0.3%
연꽃마을영농조합법인 1
 
0.3%
풍원팜 1
 
0.3%
청운표고 1
 
0.3%
Other values (254) 254
65.1%
2023-12-11T06:11:11.919887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 183
 
7.6%
사 158
 
6.6%
회 154
 
6.4%
150
 
6.2%
인 134
 
5.6%
법 125
 
5.2%
업 93
 
3.9%
주 77
 
3.2%
식 70
 
2.9%
조 50
 
2.1%
Other values (336) 1209
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2209
91.9%
Space Separator 150
 
6.2%
Other Symbol 21
 
0.9%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Decimal Number 5
 
0.2%
Uppercase Letter 5
 
0.2%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 183
 
8.3%
사 158
 
7.2%
회 154
 
7.0%
인 134
 
6.1%
법 125
 
5.7%
업 93
 
4.2%
주 77
 
3.5%
식 70
 
3.2%
조 50
 
2.3%
합 45
 
2.0%
Other values (321) 1120
50.7%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
M 1
20.0%
Z 1
20.0%
B 1
20.0%
F 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
4 1
 
20.0%
2 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2230
92.8%
Common 166
 
6.9%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 183
 
8.2%
사 158
 
7.1%
회 154
 
6.9%
인 134
 
6.0%
법 125
 
5.6%
업 93
 
4.2%
주 77
 
3.5%
식 70
 
3.1%
조 50
 
2.2%
합 45
 
2.0%
Other values (322) 1141
51.2%
Common
ValueCountFrequency (%)
150
90.4%
) 5
 
3.0%
( 5
 
3.0%
1 3
 
1.8%
4 1
 
0.6%
2 1
 
0.6%
& 1
 
0.6%
Latin
ValueCountFrequency (%)
D 1
14.3%
M 1
14.3%
Z 1
14.3%
k 1
14.3%
m 1
14.3%
B 1
14.3%
F 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2209
91.9%
ASCII 173
 
7.2%
None 21
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 183
 
8.3%
사 158
 
7.2%
회 154
 
7.0%
인 134
 
6.1%
법 125
 
5.7%
업 93
 
4.2%
주 77
 
3.5%
식 70
 
3.2%
조 50
 
2.3%
합 45
 
2.0%
Other values (321) 1120
50.7%
ASCII
ValueCountFrequency (%)
150
86.7%
) 5
 
2.9%
( 5
 
2.9%
1 3
 
1.7%
4 1
 
0.6%
D 1
 
0.6%
2 1
 
0.6%
M 1
 
0.6%
Z 1
 
0.6%
k 1
 
0.6%
Other values (4) 4
 
2.3%
None
ValueCountFrequency (%)
㈜ 21
100.0%

사업자등록번호
Real number (ℝ)

Distinct239
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8020551 × 109
Minimum1.0450643 × 109
Maximum8.8886018 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T06:11:12.050242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0450643 × 109
5-th percentile1.2486906 × 109
Q11.2807243 × 109
median1.4181068 × 109
Q33.9406251 × 109
95-th percentile7.7866802 × 109
Maximum8.8886018 × 109
Range7.8435375 × 109
Interquartile range (IQR)2.6599008 × 109

Descriptive statistics

Standard deviation2.261211 × 109
Coefficient of variation (CV)0.80698305
Kurtosis0.22309465
Mean2.8020551 × 109
Median Absolute Deviation (MAD)1.5950002 × 108
Skewness1.2796336
Sum6.7249323 × 1011
Variance5.1130752 × 1018
MonotonicityNot monotonic
2023-12-11T06:11:12.209686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6298600765 2
 
0.8%
1328177839 1
 
0.4%
4148600450 1
 
0.4%
1268661069 1
 
0.4%
6878100145 1
 
0.4%
1269185949 1
 
0.4%
1268680538 1
 
0.4%
1262592159 1
 
0.4%
1262946707 1
 
0.4%
1263026459 1
 
0.4%
Other values (229) 229
95.4%
ValueCountFrequency (%)
1045064295 1
0.4%
1059995918 1
0.4%
1098178672 1
0.4%
1101442681 1
0.4%
1128801810 1
0.4%
1129653744 1
0.4%
1138701795 1
0.4%
1238605428 1
0.4%
1244617687 1
0.4%
1248150386 1
0.4%
ValueCountFrequency (%)
8888601816 1
0.4%
8778600990 1
0.4%
8778100016 1
0.4%
8502600195 1
0.4%
8477500144 1
0.4%
8381500812 1
0.4%
8282900243 1
0.4%
8238100678 1
0.4%
8201700377 1
0.4%
8188801150 1
0.4%

주요생산품목
Text

Distinct232
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T06:11:12.520837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length28
Mean length11.891667
Min length1

Characters and Unicode

Total characters2854
Distinct characters379
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)94.6%

Sample

1st row깔라만씨, 뱅쇼
2nd row사과,사과즙,사과말랭이
3rd row잣,쌀,차류
4th row잣바움쿠헨
5th row잣고을한우사골곰탕
ValueCountFrequency (%)
사과 9
 
1.9%
체험 9
 
1.9%
딸기 8
 
1.7%
고구마 7
 
1.5%
표고버섯 6
 
1.3%
등 5
 
1.1%
요거트 4
 
0.8%
도라지 4
 
0.8%
배 4
 
0.8%
목이버섯 4
 
0.8%
Other values (366) 413
87.3%
2023-12-11T06:11:12.959868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 366
 
12.8%
233
 
8.2%
과 50
 
1.8%
고 44
 
1.5%
( 39
 
1.4%
) 38
 
1.3%
사 38
 
1.3%
마 36
 
1.3%
버 34
 
1.2%
기 34
 
1.2%
Other values (369) 1942
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2157
75.6%
Other Punctuation 373
 
13.1%
Space Separator 233
 
8.2%
Open Punctuation 39
 
1.4%
Close Punctuation 38
 
1.3%
Decimal Number 9
 
0.3%
Uppercase Letter 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 50
 
2.3%
고 44
 
2.0%
사 38
 
1.8%
마 36
 
1.7%
버 34
 
1.6%
기 34
 
1.6%
섯 33
 
1.5%
이 31
 
1.4%
지 31
 
1.4%
장 31
 
1.4%
Other values (351) 1795
83.2%
Decimal Number
ValueCountFrequency (%)
0 3
33.3%
1 2
22.2%
2 1
 
11.1%
3 1
 
11.1%
5 1
 
11.1%
4 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 366
98.1%
. 5
 
1.3%
# 1
 
0.3%
! 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
R 1
25.0%
E 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2157
75.6%
Common 693
 
24.3%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 50
 
2.3%
고 44
 
2.0%
사 38
 
1.8%
마 36
 
1.7%
버 34
 
1.6%
기 34
 
1.6%
섯 33
 
1.5%
이 31
 
1.4%
지 31
 
1.4%
장 31
 
1.4%
Other values (351) 1795
83.2%
Common
ValueCountFrequency (%)
, 366
52.8%
233
33.6%
( 39
 
5.6%
) 38
 
5.5%
. 5
 
0.7%
0 3
 
0.4%
1 2
 
0.3%
# 1
 
0.1%
! 1
 
0.1%
- 1
 
0.1%
Other values (4) 4
 
0.6%
Latin
ValueCountFrequency (%)
F 1
25.0%
R 1
25.0%
E 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2157
75.6%
ASCII 697
 
24.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 366
52.5%
233
33.4%
( 39
 
5.6%
) 38
 
5.5%
. 5
 
0.7%
0 3
 
0.4%
1 2
 
0.3%
F 1
 
0.1%
# 1
 
0.1%
R 1
 
0.1%
Other values (8) 8
 
1.1%
Hangul
ValueCountFrequency (%)
과 50
 
2.3%
고 44
 
2.0%
사 38
 
1.8%
마 36
 
1.7%
버 34
 
1.6%
기 34
 
1.6%
섯 33
 
1.5%
이 31
 
1.4%
지 31
 
1.4%
장 31
 
1.4%
Other values (351) 1795
83.2%

인증구분
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1×2×3형
153 
1×3형
59 
1×2형
28 

Length

Max length6
Median length6
Mean length5.275
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1×2×3형
2nd row1×2×3형
3rd row1×2×3형
4th row1×2×3형
5th row1×2×3형

Common Values

ValueCountFrequency (%)
1×2×3형 153
63.7%
1×3형 59
 
24.6%
1×2형 28
 
11.7%

Length

2023-12-11T06:11:13.098389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:13.211002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1×2×3형 153
63.7%
1×3형 59
 
24.6%
1×2형 28
 
11.7%

인증번호
Text

UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T06:11:13.487653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2640
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

Unique240 ?
Unique (%)100.0%

Sample

1st row2015-09-021
2nd row2015-09-095
3rd row2016-09-019
4th row2017-09-014
5th row2017-09-020
ValueCountFrequency (%)
2015-09-021 1
 
0.4%
2015-09-095 1
 
0.4%
2019-09-016 1
 
0.4%
2023-09-010 1
 
0.4%
2015-09-063 1
 
0.4%
2015-09-067 1
 
0.4%
2015-09-070 1
 
0.4%
2015-09-071 1
 
0.4%
2015-09-077 1
 
0.4%
2015-09-080 1
 
0.4%
Other values (230) 230
95.8%
2023-12-11T06:11:13.909406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 831
31.5%
- 480
18.2%
2 422
16.0%
9 297
 
11.2%
1 277
 
10.5%
5 89
 
3.4%
3 64
 
2.4%
7 61
 
2.3%
6 49
 
1.9%
8 40
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2160
81.8%
Dash Punctuation 480
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 831
38.5%
2 422
19.5%
9 297
 
13.8%
1 277
 
12.8%
5 89
 
4.1%
3 64
 
3.0%
7 61
 
2.8%
6 49
 
2.3%
8 40
 
1.9%
4 30
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 831
31.5%
- 480
18.2%
2 422
16.0%
9 297
 
11.2%
1 277
 
10.5%
5 89
 
3.4%
3 64
 
2.4%
7 61
 
2.3%
6 49
 
1.9%
8 40
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 831
31.5%
- 480
18.2%
2 422
16.0%
9 297
 
11.2%
1 277
 
10.5%
5 89
 
3.4%
3 64
 
2.4%
7 61
 
2.3%
6 49
 
1.9%
8 40
 
1.5%

인증일자
Date

Distinct31
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum2015-09-11 00:00:00
Maximum2023-06-12 00:00:00
2023-12-11T06:11:14.048173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:14.189183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

소재지도로명주소
Text

MISSING 

Distinct226
Distinct (%)98.3%
Missing10
Missing (%)4.2%
Memory size2.0 KiB
2023-12-11T06:11:14.484511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length21.830435
Min length14

Characters and Unicode

Total characters5021
Distinct characters226
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

Unique222 ?
Unique (%)96.5%

Sample

1st row경기도 가평군 가평읍 아랫마장길 59
2nd row경기도 가평군 가평읍 용추로 256
3rd row경기도 가평군 설악면 유명로 891
4th row경기도 가평군 상면 축령로 28
5th row경기도 가평군 가평읍 달전로 19
ValueCountFrequency (%)
경기도 230
 
20.0%
양평군 24
 
2.1%
파주시 23
 
2.0%
용인시 22
 
1.9%
처인구 21
 
1.8%
여주시 20
 
1.7%
남양주시 19
 
1.7%
김포시 17
 
1.5%
포천시 16
 
1.4%
화성시 16
 
1.4%
Other values (525) 740
64.5%
2023-12-11T06:11:14.987691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
918
 
18.3%
도 234
 
4.7%
경 233
 
4.6%
기 232
 
4.6%
1 193
 
3.8%
시 188
 
3.7%
로 160
 
3.2%
면 148
 
2.9%
길 134
 
2.7%
2 124
 
2.5%
Other values (216) 2457
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3041
60.6%
Decimal Number 960
 
19.1%
Space Separator 918
 
18.3%
Dash Punctuation 102
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 234
 
7.7%
경 233
 
7.7%
기 232
 
7.6%
시 188
 
6.2%
로 160
 
5.3%
면 148
 
4.9%
길 134
 
4.4%
양 71
 
2.3%
주 68
 
2.2%
번 63
 
2.1%
Other values (204) 1510
49.7%
Decimal Number
ValueCountFrequency (%)
1 193
20.1%
2 124
12.9%
3 122
12.7%
4 86
9.0%
6 81
8.4%
7 79
8.2%
0 73
 
7.6%
9 72
 
7.5%
5 67
 
7.0%
8 63
 
6.6%
Space Separator
ValueCountFrequency (%)
918
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3041
60.6%
Common 1980
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 234
 
7.7%
경 233
 
7.7%
기 232
 
7.6%
시 188
 
6.2%
로 160
 
5.3%
면 148
 
4.9%
길 134
 
4.4%
양 71
 
2.3%
주 68
 
2.2%
번 63
 
2.1%
Other values (204) 1510
49.7%
Common
ValueCountFrequency (%)
918
46.4%
1 193
 
9.7%
2 124
 
6.3%
3 122
 
6.2%
- 102
 
5.2%
4 86
 
4.3%
6 81
 
4.1%
7 79
 
4.0%
0 73
 
3.7%
9 72
 
3.6%
Other values (2) 130
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3041
60.6%
ASCII 1980
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
46.4%
1 193
 
9.7%
2 124
 
6.3%
3 122
 
6.2%
- 102
 
5.2%
4 86
 
4.3%
6 81
 
4.1%
7 79
 
4.0%
0 73
 
3.7%
9 72
 
3.6%
Other values (2) 130
 
6.6%
Hangul
ValueCountFrequency (%)
도 234
 
7.7%
경 233
 
7.7%
기 232
 
7.6%
시 188
 
6.2%
로 160
 
5.3%
면 148
 
4.9%
길 134
 
4.4%
양 71
 
2.3%
주 68
 
2.2%
번 63
 
2.1%
Other values (204) 1510
49.7%

소재지지번주소
Text

Distinct238
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-11T06:11:15.294898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length23.1875
Min length14

Characters and Unicode

Total characters5565
Distinct characters215
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)98.3%

Sample

1st row경기도 가평군 가평읍 승안리 100번지
2nd row경기도 가평군 가평읍 승안리 325-1번지
3rd row경기도 가평군 설악면 방일리 228번지 1층
4th row경기도 가평군 상면 행현리 15-1번지
5th row경기도 가평군 가평읍 달전리 382-1번지
ValueCountFrequency (%)
경기도 240
 
19.4%
파주시 26
 
2.1%
양평군 24
 
1.9%
용인시 22
 
1.8%
처인구 21
 
1.7%
여주시 21
 
1.7%
남양주시 19
 
1.5%
김포시 18
 
1.5%
화성시 17
 
1.4%
포천시 16
 
1.3%
Other values (565) 813
65.7%
2023-12-11T06:11:15.740283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
997
 
17.9%
도 245
 
4.4%
기 244
 
4.4%
지 241
 
4.3%
경 241
 
4.3%
번 227
 
4.1%
1 211
 
3.8%
리 207
 
3.7%
시 197
 
3.5%
- 175
 
3.1%
Other values (205) 2580
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3437
61.8%
Space Separator 997
 
17.9%
Decimal Number 944
 
17.0%
Dash Punctuation 175
 
3.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 245
 
7.1%
기 244
 
7.1%
지 241
 
7.0%
경 241
 
7.0%
번 227
 
6.6%
리 207
 
6.0%
시 197
 
5.7%
면 156
 
4.5%
양 71
 
2.1%
주 71
 
2.1%
Other values (189) 1537
44.7%
Decimal Number
ValueCountFrequency (%)
1 211
22.4%
2 130
13.8%
3 112
11.9%
4 89
9.4%
6 77
 
8.2%
8 74
 
7.8%
5 73
 
7.7%
0 62
 
6.6%
7 59
 
6.2%
9 57
 
6.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3437
61.8%
Common 2127
38.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 245
 
7.1%
기 244
 
7.1%
지 241
 
7.0%
경 241
 
7.0%
번 227
 
6.6%
리 207
 
6.0%
시 197
 
5.7%
면 156
 
4.5%
양 71
 
2.1%
주 71
 
2.1%
Other values (189) 1537
44.7%
Common
ValueCountFrequency (%)
997
46.9%
1 211
 
9.9%
- 175
 
8.2%
2 130
 
6.1%
3 112
 
5.3%
4 89
 
4.2%
6 77
 
3.6%
8 74
 
3.5%
5 73
 
3.4%
0 62
 
2.9%
Other values (5) 127
 
6.0%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3437
61.8%
ASCII 2128
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
997
46.9%
1 211
 
9.9%
- 175
 
8.2%
2 130
 
6.1%
3 112
 
5.3%
4 89
 
4.2%
6 77
 
3.6%
8 74
 
3.5%
5 73
 
3.4%
0 62
 
2.9%
Other values (6) 128
 
6.0%
Hangul
ValueCountFrequency (%)
도 245
 
7.1%
기 244
 
7.1%
지 241
 
7.0%
경 241
 
7.0%
번 227
 
6.6%
리 207
 
6.0%
시 197
 
5.7%
면 156
 
4.5%
양 71
 
2.1%
주 71
 
2.1%
Other values (189) 1537
44.7%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct188
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13713.983
Minimum10000
Maximum18614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T06:11:15.901811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10043.95
Q111038.5
median12569
Q317211
95-th percentile18287.05
Maximum18614
Range8614
Interquartile range (IQR)6172.5

Descriptive statistics

Standard deviation3019.9687
Coefficient of variation (CV)0.22021091
Kurtosis-1.521523
Mean13713.983
Median Absolute Deviation (MAD)1765
Skewness0.42919779
Sum3291356
Variance9120211.2
MonotonicityNot monotonic
2023-12-11T06:11:16.037698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12574 4
 
1.7%
10804 4
 
1.7%
12076 4
 
1.7%
10013 3
 
1.2%
18287 3
 
1.2%
12653 3
 
1.2%
10801 3
 
1.2%
10858 3
 
1.2%
10800 3
 
1.2%
10012 3
 
1.2%
Other values (178) 207
86.2%
ValueCountFrequency (%)
10000 1
 
0.4%
10009 1
 
0.4%
10012 3
1.2%
10013 3
1.2%
10014 1
 
0.4%
10018 1
 
0.4%
10024 1
 
0.4%
10043 1
 
0.4%
10044 2
0.8%
10057 1
 
0.4%
ValueCountFrequency (%)
18614 1
0.4%
18560 1
0.4%
18556 1
0.4%
18553 1
0.4%
18549 1
0.4%
18545 1
0.4%
18520 1
0.4%
18514 1
0.4%
18336 1
0.4%
18327 1
0.4%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct236
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.493833
Minimum36.934959
Maximum38.184163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T06:11:16.170438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.934959
5-th percentile37.00471
Q137.194841
median37.483384
Q337.743047
95-th percentile38.014768
Maximum38.184163
Range1.2492042
Interquartile range (IQR)0.54820589

Descriptive statistics

Standard deviation0.33015147
Coefficient of variation (CV)0.0088054874
Kurtosis-1.2089903
Mean37.493833
Median Absolute Deviation (MAD)0.28427203
Skewness0.13341794
Sum8998.5199
Variance0.109
MonotonicityNot monotonic
2023-12-11T06:11:16.325844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4562340738 2
 
0.8%
37.8656969643 2
 
0.8%
37.4957069203 2
 
0.8%
37.245948576 2
 
0.8%
37.8177433487 1
 
0.4%
37.7836807303 1
 
0.4%
37.3185581642 1
 
0.4%
37.1477865297 1
 
0.4%
37.2001978191 1
 
0.4%
37.7054691341 1
 
0.4%
Other values (226) 226
94.2%
ValueCountFrequency (%)
36.934959056 1
0.4%
36.9351817013 1
0.4%
36.9458810174 1
0.4%
36.9486922061 1
0.4%
36.9544706399 1
0.4%
36.9710484189 1
0.4%
36.9798577573 1
0.4%
36.9815031383 1
0.4%
36.988032758 1
0.4%
37.0004851125 1
0.4%
ValueCountFrequency (%)
38.1841632144 1
0.4%
38.1398873332 1
0.4%
38.1256245541 1
0.4%
38.1055030788 1
0.4%
38.0786282623 1
0.4%
38.0679482715 1
0.4%
38.0635499501 1
0.4%
38.0587025889 1
0.4%
38.0578937787 1
0.4%
38.0455316174 1
0.4%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct236
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.16008
Minimum126.53048
Maximum127.78662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-11T06:11:16.507287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53048
5-th percentile126.65254
Q1126.90028
median127.18491
Q3127.39976
95-th percentile127.65873
Maximum127.78662
Range1.2561392
Interquartile range (IQR)0.49948011

Descriptive statistics

Standard deviation0.31867831
Coefficient of variation (CV)0.0025061192
Kurtosis-0.98585757
Mean127.16008
Median Absolute Deviation (MAD)0.25800363
Skewness-0.051796756
Sum30518.418
Variance0.10155586
MonotonicityNot monotonic
2023-12-11T06:11:16.681848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.3951173201 2
 
0.8%
126.8784394265 2
 
0.8%
127.4081737196 2
 
0.8%
126.9225444365 2
 
0.8%
126.6907393702 1
 
0.4%
126.7076003059 1
 
0.4%
127.5012640887 1
 
0.4%
127.4992117734 1
 
0.4%
127.4000814608 1
 
0.4%
126.7135614141 1
 
0.4%
Other values (226) 226
94.2%
ValueCountFrequency (%)
126.5304823475 1
0.4%
126.5367577017 1
0.4%
126.5752716957 1
0.4%
126.5824027537 1
0.4%
126.5948036239 1
0.4%
126.5998993477 1
0.4%
126.6054219206 1
0.4%
126.608269186 1
0.4%
126.6137384554 1
0.4%
126.6382139246 1
0.4%
ValueCountFrequency (%)
127.7866215204 1
0.4%
127.775065459 1
0.4%
127.7711117997 1
0.4%
127.7426239774 1
0.4%
127.7335017622 1
0.4%
127.7005606899 1
0.4%
127.6940130792 1
0.4%
127.6821987615 1
0.4%
127.6696226507 1
0.4%
127.6660220013 1
0.4%

Interactions

2023-12-11T06:11:10.253775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.183698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.554215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.871194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:10.374170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.291685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.636444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.966225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:10.447053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.382160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.706398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:10.047242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:10.530372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.473796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:09.789385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:10.134578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:11:16.773203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명사업자등록번호인증구분인증일자우편번호WGS84위도WGS84경도
시군명1.0000.0000.4430.1990.9990.9390.930
사업자등록번호0.0001.0000.1670.4310.1440.0000.341
인증구분0.4430.1671.0000.5060.1140.1850.000
인증일자0.1990.4310.5061.0000.0000.3160.000
우편번호0.9990.1440.1140.0001.0000.7840.743
WGS84위도0.9390.0000.1850.3160.7841.0000.711
WGS84경도0.9300.3410.0000.0000.7430.7111.000
2023-12-11T06:11:16.888932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분시군명
인증구분1.0000.252
시군명0.2521.000
2023-12-11T06:11:16.992069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호우편번호WGS84위도WGS84경도시군명인증구분
사업자등록번호1.000-0.1740.150-0.1010.0000.099
우편번호-0.1741.000-0.8690.3750.9540.071
WGS84위도0.150-0.8691.000-0.2860.6070.109
WGS84경도-0.1010.375-0.2861.0000.5830.000
시군명0.0000.9540.6070.5831.0000.252
인증구분0.0990.0710.1090.0000.2521.000

Missing values

2023-12-11T06:11:10.901199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:11:11.098797image/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

시군명인증업체사업자등록번호주요생산품목인증구분인증번호인증일자소재지도로명주소소재지지번주소우편번호WGS84위도WGS84경도
0가평군가평특선주영농조합1328177839깔라만씨, 뱅쇼1×2×3형2015-09-0212015-09-11경기도 가평군 가평읍 아랫마장길 59경기도 가평군 가평읍 승안리 100번지1240837.846256127.499375
1가평군하가원1329084894사과,사과즙,사과말랭이1×2×3형2015-09-0952015-12-04경기도 가평군 가평읍 용추로 256경기도 가평군 가평읍 승안리 325-1번지1240837.849509127.486042
2가평군영농조합법인 덕은1328631518잣,쌀,차류1×2×3형2016-09-0192016-12-23경기도 가평군 설악면 유명로 891경기도 가평군 설악면 방일리 228번지 1층1247237.623068127.494697
3가평군농업회사법인 주식회사 코리안파인1328618887잣바움쿠헨1×2×3형2017-09-0142017-09-14경기도 가평군 상면 축령로 28경기도 가평군 상면 행현리 15-1번지1244837.771452127.366718
4가평군가평축산업협동조합경제사업본부1328208284잣고을한우사골곰탕1×2×3형2017-09-0202017-11-20경기도 가평군 가평읍 달전로 19경기도 가평군 가평읍 달전리 382-1번지1242237.816034127.516349
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6가평군설악떡사랑1128801810쌀(뽕쑥이, 인절미, 영양떡, 송편, 증편 등)1×2형2022-09-0062022-03-24경기도 가평군 설악면 신천중앙로 79경기도 가평군 설악면 신천리 407-13번지 1층 101호1246737.67586127.493616
7고양시농업회사법인 한국상황버섯㈜1288686805상황버섯 음료1×2×3형2015-09-0052015-09-11경기도 고양시 일산서구 대화로 52경기도 고양시 일산서구 대화동 1974-2번지 가동1022037.666385126.728034
8고양시소래영농조합법인1288164387오골계, 토종닭1×2×3형2016-09-0032016-05-13경기도 고양시 덕양구 혜음로 254-6경기도 고양시 덕양구 벽제동 496-1번지 (가공공장)1027137.721794126.897572
9고양시농업회사법인 주식회사 자연터5618100159무지개방울토마토1×2×3형2017-09-0262017-11-20경기도 고양시 일산동구 성현로 400경기도 고양시 일산동구 문봉동 158-11번지1031437.70052126.827016
시군명인증업체사업자등록번호주요생산품목인증구분인증번호인증일자소재지도로명주소소재지지번주소우편번호WGS84위도WGS84경도
230화성시농업회사법인 주식회사 도한정원 시실리5178102000다육식물(레티기아, 라울, 부용)1×3형2019-09-0132019-06-03경기도 화성시 매송면 어사로 95경기도 화성시 매송면 어천리 123-1번지1828837.259577126.916915
231화성시농업회사법인 화송 주식회사1438120393표고버섯1×2×3형2019-09-0222019-07-29경기도 화성시 서신면 궁평항로 1577경기도 화성시 서신면 용두리 720번지1855637.156171126.703611
232화성시행복텃밭1249295206딸기, 귤, 고구마1×3형2020-09-0132020-09-14경기도 화성시 매송면 화성로 2148-28경기도 화성시 매송면 어천리 598-1번지1828737.247884126.90388
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234화성시꽃마루농원2271651236콩, 두부, 콩물1×3형2020-09-0232020-12-28경기도 화성시 송산면 송산포도로 546-9경기도 화성시 송산면 마산리 537-2번지1854537.231717126.69567
235화성시필레오 협동조합1438112025다류, 쌀과자류(누룽지,과자)1×2×3형2020-09-0242020-12-28경기도 화성시 향남읍 상신초교길 52경기도 화성시 향남읍 상신리 874번지 2층 9호1861437.094073126.901182
236화성시최은명자연꿀3185800221꿀, 로얄젤리, 누에1×3형2021-09-0132021-07-21경기도 화성시 봉담읍 방축길 6경기도 화성시 봉담읍 수기리 148-2번지1832737.199549126.971713
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