Overview

Dataset statistics

Number of variables9
Number of observations95
Missing cells93
Missing cells (%)10.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory77.4 B

Variable types

Numeric4
Text4
Categorical1

Dataset

Description해당 자료는 제주특별자치도 내 등록되어 있는 농산물 세척시설 현황을 담고 있으며, 세부적으로는 행정동 정보 등 포함하고 있습니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15110834/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 행정동코드High correlation
행정동코드 is highly overall correlated with 번호High correlation
비고 외 has 93 (97.9%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:56:20.200654
Analysis finished2023-12-12 16:56:22.833259
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T01:56:22.919286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2023-12-13T01:56:23.082547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

일반정보
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T01:56:23.307328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length9.4526316
Min length3

Characters and Unicode

Total characters898
Distinct characters183
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

Unique93 ?
Unique (%)97.9%

Sample

1st row김녕농업협동조합 농산물 세척장
2nd row고산농업협동조합 무 세척장
3rd row구좌농업협동조합유통센터
4th row현대바이오영농조합법인
5th row생드르 영농조합법인 (제2가공실)
ValueCountFrequency (%)
영농조합법인 5
 
4.5%
㈜신농푸드웰 2
 
1.8%
생드르영농조합법인 2
 
1.8%
세척장 2
 
1.8%
제일영농조합법인 1
 
0.9%
정낭영농법인 1
 
0.9%
혼인지유통(개인 1
 
0.9%
법인 1
 
0.9%
영농조합 1
 
0.9%
가뫼물 1
 
0.9%
Other values (94) 94
84.7%
2023-12-13T01:56:23.683852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 83
 
9.2%
인 57
 
6.3%
합 54
 
6.0%
조 54
 
6.0%
영 52
 
5.8%
법 51
 
5.7%
산 25
 
2.8%
제 25
 
2.8%
주 23
 
2.6%
20
 
2.2%
Other values (173) 454
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 842
93.8%
Space Separator 20
 
2.2%
Other Symbol 11
 
1.2%
Open Punctuation 9
 
1.0%
Close Punctuation 9
 
1.0%
Decimal Number 3
 
0.3%
Uppercase Letter 2
 
0.2%
Control 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 83
 
9.9%
인 57
 
6.8%
합 54
 
6.4%
조 54
 
6.4%
영 52
 
6.2%
법 51
 
6.1%
산 25
 
3.0%
제 25
 
3.0%
주 23
 
2.7%
유 15
 
1.8%
Other values (163) 403
47.9%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 853
95.0%
Common 43
 
4.8%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 83
 
9.7%
인 57
 
6.7%
합 54
 
6.3%
조 54
 
6.3%
영 52
 
6.1%
법 51
 
6.0%
산 25
 
2.9%
제 25
 
2.9%
주 23
 
2.7%
유 15
 
1.8%
Other values (164) 414
48.5%
Common
ValueCountFrequency (%)
20
46.5%
( 9
20.9%
) 9
20.9%
2 2
 
4.7%
1 1
 
2.3%
1
 
2.3%
. 1
 
2.3%
Latin
ValueCountFrequency (%)
K 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 842
93.8%
ASCII 45
 
5.0%
None 11
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 83
 
9.9%
인 57
 
6.8%
합 54
 
6.4%
조 54
 
6.4%
영 52
 
6.2%
법 51
 
6.1%
산 25
 
3.0%
제 25
 
3.0%
주 23
 
2.7%
유 15
 
1.8%
Other values (163) 403
47.9%
ASCII
ValueCountFrequency (%)
20
44.4%
( 9
20.0%
) 9
20.0%
2 2
 
4.4%
1 1
 
2.2%
K 1
 
2.2%
D 1
 
2.2%
1
 
2.2%
. 1
 
2.2%
None
ValueCountFrequency (%)
㈜ 11
100.0%

소재지 도로명주소
Text

Distinct77
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T01:56:23.994481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.726316
Min length12

Characters and Unicode

Total characters1969
Distinct characters123
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)73.7%

Sample

1st row제주특별자치도 제주시 구좌읍 김송로
2nd row제주특별자치도 제주시 한경면 용고로
3rd row제주특별자치도 제주시 구좌읍 상도로
4th row제주특별자치도 제주시 구좌읍 상도로
5th row제주특별자치도 제주시 조천읍 신와로
ValueCountFrequency (%)
제주특별자치도 95
26.8%
서귀포시 59
16.7%
제주시 36
 
10.2%
성산읍 35
 
9.9%
구좌읍 9
 
2.5%
대정읍 7
 
2.0%
조천읍 6
 
1.7%
안덕면 5
 
1.4%
표선면 5
 
1.4%
한림읍 5
 
1.4%
Other values (74) 92
26.0%
2023-12-13T01:56:24.457016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
322
16.4%
주 134
 
6.8%
제 131
 
6.7%
도 102
 
5.2%
시 98
 
5.0%
자 97
 
4.9%
치 95
 
4.8%
별 95
 
4.8%
특 95
 
4.8%
읍 67
 
3.4%
Other values (113) 733
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1596
81.1%
Space Separator 322
 
16.4%
Decimal Number 51
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 134
 
8.4%
제 131
 
8.2%
도 102
 
6.4%
시 98
 
6.1%
자 97
 
6.1%
치 95
 
6.0%
별 95
 
6.0%
특 95
 
6.0%
읍 67
 
4.2%
서 66
 
4.1%
Other values (102) 616
38.6%
Decimal Number
ValueCountFrequency (%)
1 10
19.6%
2 6
11.8%
3 6
11.8%
6 5
9.8%
9 5
9.8%
8 5
9.8%
0 5
9.8%
5 5
9.8%
4 2
 
3.9%
7 2
 
3.9%
Space Separator
ValueCountFrequency (%)
322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1596
81.1%
Common 373
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 134
 
8.4%
제 131
 
8.2%
도 102
 
6.4%
시 98
 
6.1%
자 97
 
6.1%
치 95
 
6.0%
별 95
 
6.0%
특 95
 
6.0%
읍 67
 
4.2%
서 66
 
4.1%
Other values (102) 616
38.6%
Common
ValueCountFrequency (%)
322
86.3%
1 10
 
2.7%
2 6
 
1.6%
3 6
 
1.6%
6 5
 
1.3%
9 5
 
1.3%
8 5
 
1.3%
0 5
 
1.3%
5 5
 
1.3%
4 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1596
81.1%
ASCII 373
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
322
86.3%
1 10
 
2.7%
2 6
 
1.6%
3 6
 
1.6%
6 5
 
1.3%
9 5
 
1.3%
8 5
 
1.3%
0 5
 
1.3%
5 5
 
1.3%
4 2
 
0.5%
Hangul
ValueCountFrequency (%)
주 134
 
8.4%
제 131
 
8.2%
도 102
 
6.4%
시 98
 
6.1%
자 97
 
6.1%
치 95
 
6.0%
별 95
 
6.0%
특 95
 
6.0%
읍 67
 
4.2%
서 66
 
4.1%
Other values (102) 616
38.6%

소재지 지번주소
Text

Distinct69
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T01:56:24.695241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.884211
Min length12

Characters and Unicode

Total characters1794
Distinct characters87
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

Unique58 ?
Unique (%)61.1%

Sample

1st row제주특별자치도 제주시 구좌읍 김녕리
2nd row제주특별자치도 제주시 한경면 고산리
3rd row제주특별자치도 제주시 구좌읍 세화리
4th row제주특별자치도 제주시 구좌읍 상도리
5th row제주특별자치도 제주시 조천읍 신촌리
ValueCountFrequency (%)
제주특별자치도 95
26.8%
서귀포시 59
16.6%
제주시 36
 
10.1%
성산읍 34
 
9.6%
구좌읍 9
 
2.5%
대정읍 7
 
2.0%
온평리 6
 
1.7%
수산리 6
 
1.7%
조천읍 6
 
1.7%
안덕면 6
 
1.7%
Other values (59) 91
25.6%
2023-12-13T01:56:25.100564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
15.8%
제 131
 
7.3%
주 131
 
7.3%
도 102
 
5.7%
시 98
 
5.5%
특 95
 
5.3%
별 95
 
5.3%
자 95
 
5.3%
치 95
 
5.3%
리 71
 
4.0%
Other values (77) 597
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1510
84.2%
Space Separator 284
 
15.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 131
 
8.7%
주 131
 
8.7%
도 102
 
6.8%
시 98
 
6.5%
특 95
 
6.3%
별 95
 
6.3%
자 95
 
6.3%
치 95
 
6.3%
리 71
 
4.7%
읍 67
 
4.4%
Other values (76) 530
35.1%
Space Separator
ValueCountFrequency (%)
284
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1510
84.2%
Common 284
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 131
 
8.7%
주 131
 
8.7%
도 102
 
6.8%
시 98
 
6.5%
특 95
 
6.3%
별 95
 
6.3%
자 95
 
6.3%
치 95
 
6.3%
리 71
 
4.7%
읍 67
 
4.4%
Other values (76) 530
35.1%
Common
ValueCountFrequency (%)
284
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1510
84.2%
ASCII 284
 
15.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
100.0%
Hangul
ValueCountFrequency (%)
제 131
 
8.7%
주 131
 
8.7%
도 102
 
6.8%
시 98
 
6.5%
특 95
 
6.3%
별 95
 
6.3%
자 95
 
6.3%
치 95
 
6.3%
리 71
 
4.7%
읍 67
 
4.4%
Other values (76) 530
35.1%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0122665 × 109
Minimum5.0110105 × 109
Maximum5.013032 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T01:56:25.269905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.0110105 × 109
5-th percentile5.0110121 × 109
Q15.0110256 × 109
median5.013025 × 109
Q35.0130259 × 109
95-th percentile5.0130313 × 109
Maximum5.013032 × 109
Range2021526
Interquartile range (IQR)2000293.5

Descriptive statistics

Standard deviation976390.92
Coefficient of variation (CV)0.00019480028
Kurtosis-1.780642
Mean5.0122665 × 109
Median Absolute Deviation (MAD)6000
Skewness-0.50707767
Sum4.7616532 × 1011
Variance9.5333923 × 1011
MonotonicityNot monotonic
2023-12-13T01:56:25.437510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5013025900 8
 
8.4%
5013025925 6
 
6.3%
5013025926 6
 
6.3%
5011025921 4
 
4.2%
5013025924 3
 
3.2%
5013032021 2
 
2.1%
5013010900 2
 
2.1%
5013025923 2
 
2.1%
5013025927 2
 
2.1%
5011012200 2
 
2.1%
Other values (50) 58
61.1%
ValueCountFrequency (%)
5011010500 1
1.1%
5011011100 1
1.1%
5011011600 1
1.1%
5011011700 1
1.1%
5011012000 1
1.1%
5011012200 2
2.1%
5011012700 1
1.1%
5011025021 1
1.1%
5011025026 1
1.1%
5011025027 1
1.1%
ValueCountFrequency (%)
5013032026 1
1.1%
5013032024 1
1.1%
5013032023 1
1.1%
5013032021 2
2.1%
5013031028 1
1.1%
5013031027 1
1.1%
5013031025 2
2.1%
5013031021 1
1.1%
5013031000 1
1.1%
5013025931 2
2.1%

위도
Real number (ℝ)

Distinct85
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.401105
Minimum33.221903
Maximum33.541672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T01:56:25.589565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.221903
5-th percentile33.232697
Q133.339977
median33.427188
Q333.4673
95-th percentile33.512875
Maximum33.541672
Range0.31976863
Interquartile range (IQR)0.12732302

Descriptive statistics

Standard deviation0.088989733
Coefficient of variation (CV)0.0026642751
Kurtosis-0.79126899
Mean33.401105
Median Absolute Deviation (MAD)0.05552506
Skewness-0.54328615
Sum3173.105
Variance0.0079191726
MonotonicityNot monotonic
2023-12-13T01:56:25.747229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.44208762 8
 
8.4%
33.45830757 2
 
2.1%
33.47518091 2
 
2.1%
33.51128736 2
 
2.1%
33.4758358 1
 
1.1%
33.43445297 1
 
1.1%
33.44075296 1
 
1.1%
33.41734089 1
 
1.1%
33.43579917 1
 
1.1%
33.44624695 1
 
1.1%
Other values (75) 75
78.9%
ValueCountFrequency (%)
33.22190336 1
1.1%
33.223864 1
1.1%
33.22667074 1
1.1%
33.23072618 1
1.1%
33.23129063 1
1.1%
33.2333 1
1.1%
33.24997616 1
1.1%
33.25406463 1
1.1%
33.257512 1
1.1%
33.25781542 1
1.1%
ValueCountFrequency (%)
33.54167199 1
1.1%
33.52855924 1
1.1%
33.52531826 1
1.1%
33.5166959 1
1.1%
33.51557149 1
1.1%
33.51171986 1
1.1%
33.51128736 2
2.1%
33.5095171 1
1.1%
33.50896038 1
1.1%
33.50729622 1
1.1%

경도
Real number (ℝ)

Distinct85
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.65085
Minimum126.17928
Maximum126.95659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T01:56:25.898745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.17928
5-th percentile126.247
Q1126.40566
median126.75533
Q3126.8807
95-th percentile126.91095
Maximum126.95659
Range0.7773083
Interquartile range (IQR)0.4750401

Descriptive statistics

Standard deviation0.25455637
Coefficient of variation (CV)0.0020099065
Kurtosis-1.296561
Mean126.65085
Median Absolute Deviation (MAD)0.1516337
Skewness-0.52607817
Sum12031.831
Variance0.064798947
MonotonicityNot monotonic
2023-12-13T01:56:26.063064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9109528 8
 
8.4%
126.9016056 2
 
2.1%
126.4719788 2
 
2.1%
126.6303209 2
 
2.1%
126.8986475 1
 
1.1%
126.8798749 1
 
1.1%
126.8815254 1
 
1.1%
126.899577 1
 
1.1%
126.9222594 1
 
1.1%
126.8946366 1
 
1.1%
Other values (75) 75
78.9%
ValueCountFrequency (%)
126.1792828 1
1.1%
126.1885498 1
1.1%
126.2157276 1
1.1%
126.2278274 1
1.1%
126.2438523 1
1.1%
126.2483482 1
1.1%
126.2518124 1
1.1%
126.2518261 1
1.1%
126.2521553 1
1.1%
126.2533565 1
1.1%
ValueCountFrequency (%)
126.9565911 1
 
1.1%
126.9222594 1
 
1.1%
126.9109528 8
8.4%
126.9078555 1
 
1.1%
126.9054335 1
 
1.1%
126.9016056 2
 
2.1%
126.899577 1
 
1.1%
126.8994943 1
 
1.1%
126.8986475 1
 
1.1%
126.8979234 1
 
1.1%

비고 외
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing93
Missing (%)97.9%
Memory size892.0 B
2023-12-13T01:56:26.217573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row1층
2nd row 삼대주가
ValueCountFrequency (%)
1층 1
50.0%
삼대주가 1
50.0%
2023-12-13T01:56:26.479906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
14.3%
층 1
14.3%
1
14.3%
삼 1
14.3%
대 1
14.3%
주 1
14.3%
가 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
71.4%
Decimal Number 1
 
14.3%
Space Separator 1
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 1
20.0%
삼 1
20.0%
대 1
20.0%
주 1
20.0%
가 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
71.4%
Common 2
 
28.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 1
20.0%
삼 1
20.0%
대 1
20.0%
주 1
20.0%
가 1
20.0%
Common
ValueCountFrequency (%)
1 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
71.4%
ASCII 2
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
1
50.0%
Hangul
ValueCountFrequency (%)
층 1
20.0%
삼 1
20.0%
대 1
20.0%
주 1
20.0%
가 1
20.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
2022-11-03
95 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-03
2nd row2022-11-03
3rd row2022-11-03
4th row2022-11-03
5th row2022-11-03

Common Values

ValueCountFrequency (%)
2022-11-03 95
100.0%

Length

2023-12-13T01:56:26.624081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:56:26.755893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-03 95
100.0%

Interactions

2023-12-13T01:56:22.185975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.057435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.393597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.806096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:22.272635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.134391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.478854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.887403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:22.396771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.223129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.573441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.985463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:22.484499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.307669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:21.684766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:56:22.069491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:56:26.842388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외
번호1.0000.9390.9400.9110.9980.7890.6420.000
일반정보0.9391.0000.9931.0001.0001.0001.0000.000
소재지 도로명주소0.9400.9931.0000.9971.0000.9720.9950.000
소재지 지번주소0.9111.0000.9971.0001.0000.9910.9990.000
행정동코드0.9981.0001.0001.0001.0000.8160.5230.000
위도0.7891.0000.9720.9910.8161.0000.7500.000
경도0.6421.0000.9950.9990.5230.7501.0000.000
비고 외0.0000.0000.0000.0000.0000.0000.0001.000
2023-12-13T01:56:26.976126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동코드위도경도
번호1.0000.587-0.4080.387
행정동코드0.5871.000-0.4430.376
위도-0.408-0.4431.0000.464
경도0.3870.3760.4641.000

Missing values

2023-12-13T01:56:22.625065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:56:22.782146image/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

번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외데이터기준일자
01김녕농업협동조합 농산물 세척장제주특별자치도 제주시 구좌읍 김송로제주특별자치도 제주시 구좌읍 김녕리501102563433.541672126.755327<NA>2022-11-03
12고산농업협동조합 무 세척장제주특별자치도 제주시 한경면 용고로제주특별자치도 제주시 한경면 고산리501103102333.300675126.179283<NA>2022-11-03
23구좌농업협동조합유통센터제주특별자치도 제주시 구좌읍 상도로제주특별자치도 제주시 구좌읍 세화리501102562833.495421126.852811<NA>2022-11-03
34현대바이오영농조합법인제주특별자치도 제주시 구좌읍 상도로제주특별자치도 제주시 구좌읍 상도리501102562933.495053126.857309<NA>2022-11-03
45생드르 영농조합법인 (제2가공실)제주특별자치도 제주시 조천읍 신와로제주특별자치도 제주시 조천읍 신촌리501102592133.51172126.628784<NA>2022-11-03
56생드르영농조합법인제주특별자치도 제주시 조천읍 신촌남8길제주특별자치도 제주시 조천읍 신촌리501102592133.511287126.630321<NA>2022-11-03
67태양수출영농조합법인제주특별자치도 제주시 한림읍 드르밧길제주특별자치도 제주시 한림읍 동명리501102502633.404553126.2738411층2022-11-03
78서부지구친환경영농조합법인제주특별자치도 제주시 한경면 청수서5길제주특별자치도 제주시 한경면 청수리501103102133.303774126.253356<NA>2022-11-03
89청룡농원제주특별자치도 제주시 한림읍 귀덕남동3길제주특별자치도 제주시 한림읍 귀덕리501102502133.4168126.300076<NA>2022-11-03
910농업회사법인㈜올레산야초제주특별자치도 제주시 애월읍 유수암서길제주특별자치도 제주시 애월읍 유수암리501102534233.427215126.391911<NA>2022-11-03
번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외데이터기준일자
8586하늘타리영농조합법인제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
8687영주산월동무작목반제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
8788성산읍유기농작목반제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
8889열운이작목반(온평리마을회)제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
8990은하농산물(개인)제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
9091대신영농조합법인제주특별자치도 서귀포시 대정읍제주특별자치도 서귀포시 대정읍501302500033.226671126.251812<NA>2022-11-03
9192장원유통(개인)제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
9293성훈농산제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
9394일원산업제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 성산읍501302590033.442088126.910953<NA>2022-11-03
9495동덕무.감자작목반제주특별자치도 서귀포시 성산읍제주특별자치도 서귀포시 안덕면501303100033.257512126.330723<NA>2022-11-03