Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells9420
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory820.3 KiB
Average record size in memory84.0 B

Variable types

Numeric4
Categorical3
Text2

Dataset

Description해당 자료는 제주특별자치도 내 등록되어 있는 농산물 생산지역정보 현황을 담고 있으며, 세부적으로는 행정동 정보 등 포함하고 있습니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15110800/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 행정동코드High correlation
행정동코드 is highly overall correlated with 번호High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
소재지 도로명주소 has 9420 (94.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:06:05.491861
Analysis finished2023-12-12 16:06:08.428745
Duration2.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47103.921
Minimum30
Maximum95290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:08.511093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile4587.95
Q123347.5
median46708.5
Q370756.5
95-th percentile90397.2
Maximum95290
Range95260
Interquartile range (IQR)47409

Descriptive statistics

Standard deviation27479.825
Coefficient of variation (CV)0.58338721
Kurtosis-1.1983115
Mean47103.921
Median Absolute Deviation (MAD)23721
Skewness0.025496063
Sum4.7103922 × 108
Variance7.5514081 × 108
MonotonicityNot monotonic
2023-12-13T01:06:08.678448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16204 1
 
< 0.1%
73434 1
 
< 0.1%
11686 1
 
< 0.1%
57302 1
 
< 0.1%
85033 1
 
< 0.1%
28061 1
 
< 0.1%
70642 1
 
< 0.1%
39634 1
 
< 0.1%
41085 1
 
< 0.1%
46614 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
30 1
< 0.1%
64 1
< 0.1%
67 1
< 0.1%
79 1
< 0.1%
86 1
< 0.1%
93 1
< 0.1%
122 1
< 0.1%
124 1
< 0.1%
127 1
< 0.1%
128 1
< 0.1%
ValueCountFrequency (%)
95290 1
< 0.1%
95286 1
< 0.1%
95282 1
< 0.1%
95281 1
< 0.1%
95259 1
< 0.1%
95252 1
< 0.1%
95247 1
< 0.1%
95244 1
< 0.1%
95237 1
< 0.1%
95232 1
< 0.1%

일반정보
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
밭
7059 
과수
2227 
시설
714 

Length

Max length2
Median length1
Mean length1.2941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row밭
2nd row밭
3rd row과수
4th row과수
5th row시설

Common Values

ValueCountFrequency (%)
밭 7059
70.6%
과수 2227
 
22.3%
시설 714
 
7.1%

Length

2023-12-13T01:06:08.819969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:08.921906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
밭 7059
70.6%
과수 2227
 
22.3%
시설 714
 
7.1%

소재지 도로명주소
Text

MISSING 

Distinct298
Distinct (%)51.4%
Missing9420
Missing (%)94.2%
Memory size156.2 KiB
2023-12-13T01:06:09.155236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.027586
Min length19

Characters and Unicode

Total characters11616
Distinct characters170
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

Unique170 ?
Unique (%)29.3%

Sample

1st row제주특별자치도 제주시 애월읍 녹근로
2nd row제주특별자치도 제주시 한경면 고산서3길
3rd row제주특별자치도 제주시 조천읍 미래로
4th row제주특별자치도 제주시 조천읍 조천남2길
5th row제주특별자치도 제주시 한경면 녹차분재로
ValueCountFrequency (%)
제주특별자치도 580
25.0%
제주시 580
25.0%
조천읍 147
 
6.3%
애월읍 145
 
6.2%
한경면 129
 
5.6%
한림읍 79
 
3.4%
구좌읍 76
 
3.3%
신조로 24
 
1.0%
중산간서로 18
 
0.8%
중산간동로 13
 
0.6%
Other values (289) 529
22.8%
2023-12-13T01:06:09.539834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1740
15.0%
주 1170
 
10.1%
제 1162
 
10.0%
도 597
 
5.1%
자 589
 
5.1%
별 581
 
5.0%
치 580
 
5.0%
특 580
 
5.0%
시 580
 
5.0%
읍 449
 
3.9%
Other values (160) 3588
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9658
83.1%
Space Separator 1740
 
15.0%
Decimal Number 218
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1170
 
12.1%
제 1162
 
12.0%
도 597
 
6.2%
자 589
 
6.1%
별 581
 
6.0%
치 580
 
6.0%
특 580
 
6.0%
시 580
 
6.0%
읍 449
 
4.6%
길 309
 
3.2%
Other values (149) 3061
31.7%
Decimal Number
ValueCountFrequency (%)
2 50
22.9%
1 46
21.1%
3 30
13.8%
4 25
11.5%
8 21
9.6%
6 18
 
8.3%
5 13
 
6.0%
7 11
 
5.0%
9 3
 
1.4%
0 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1740
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9658
83.1%
Common 1958
 
16.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1170
 
12.1%
제 1162
 
12.0%
도 597
 
6.2%
자 589
 
6.1%
별 581
 
6.0%
치 580
 
6.0%
특 580
 
6.0%
시 580
 
6.0%
읍 449
 
4.6%
길 309
 
3.2%
Other values (149) 3061
31.7%
Common
ValueCountFrequency (%)
1740
88.9%
2 50
 
2.6%
1 46
 
2.3%
3 30
 
1.5%
4 25
 
1.3%
8 21
 
1.1%
6 18
 
0.9%
5 13
 
0.7%
7 11
 
0.6%
9 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9658
83.1%
ASCII 1958
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1740
88.9%
2 50
 
2.6%
1 46
 
2.3%
3 30
 
1.5%
4 25
 
1.3%
8 21
 
1.1%
6 18
 
0.9%
5 13
 
0.7%
7 11
 
0.6%
9 3
 
0.2%
Hangul
ValueCountFrequency (%)
주 1170
 
12.1%
제 1162
 
12.0%
도 597
 
6.2%
자 589
 
6.1%
별 581
 
6.0%
치 580
 
6.0%
특 580
 
6.0%
시 580
 
6.0%
읍 449
 
4.6%
길 309
 
3.2%
Other values (149) 3061
31.7%

소재지 지번주소
Text

Distinct8752
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:06:10.239631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.4389
Min length17

Characters and Unicode

Total characters204389
Distinct characters34
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

Unique7699 ?
Unique (%)77.0%

Sample

1st row제주특별자치도 제주시 한경면 1677-1
2nd row제주특별자치도 제주시 애월읍 982-1
3rd row제주특별자치도 제주시 한경면 3070
4th row제주특별자치도 제주시 애월읍 306
5th row제주특별자치도 제주시 애월읍 850
ValueCountFrequency (%)
제주특별자치도 10000
24.9%
제주시 10000
24.9%
애월읍 2698
 
6.7%
구좌읍 2550
 
6.3%
한경면 2206
 
5.5%
조천읍 1392
 
3.5%
한림읍 896
 
2.2%
우도면 228
 
0.6%
산 198
 
0.5%
추자면 30
 
0.1%
Other values (6443) 10000
24.9%
2023-12-13T01:06:10.835370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30198
14.8%
제 20000
 
9.8%
주 20000
 
9.8%
도 10228
 
5.0%
자 10030
 
4.9%
시 10000
 
4.9%
치 10000
 
4.9%
별 10000
 
4.9%
특 10000
 
4.9%
1 8312
 
4.1%
Other values (24) 65621
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130198
63.7%
Decimal Number 40008
 
19.6%
Space Separator 30198
 
14.8%
Dash Punctuation 3985
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 20000
15.4%
주 20000
15.4%
도 10228
7.9%
자 10030
7.7%
시 10000
7.7%
치 10000
7.7%
별 10000
7.7%
특 10000
7.7%
읍 7536
 
5.8%
한 3102
 
2.4%
Other values (12) 19302
14.8%
Decimal Number
ValueCountFrequency (%)
1 8312
20.8%
2 5935
14.8%
3 4586
11.5%
4 3551
8.9%
5 3066
 
7.7%
7 3037
 
7.6%
6 2967
 
7.4%
8 2881
 
7.2%
9 2857
 
7.1%
0 2816
 
7.0%
Space Separator
ValueCountFrequency (%)
30198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3985
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130198
63.7%
Common 74191
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 20000
15.4%
주 20000
15.4%
도 10228
7.9%
자 10030
7.7%
시 10000
7.7%
치 10000
7.7%
별 10000
7.7%
특 10000
7.7%
읍 7536
 
5.8%
한 3102
 
2.4%
Other values (12) 19302
14.8%
Common
ValueCountFrequency (%)
30198
40.7%
1 8312
 
11.2%
2 5935
 
8.0%
3 4586
 
6.2%
- 3985
 
5.4%
4 3551
 
4.8%
5 3066
 
4.1%
7 3037
 
4.1%
6 2967
 
4.0%
8 2881
 
3.9%
Other values (2) 5673
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130198
63.7%
ASCII 74191
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30198
40.7%
1 8312
 
11.2%
2 5935
 
8.0%
3 4586
 
6.2%
- 3985
 
5.4%
4 3551
 
4.8%
5 3066
 
4.1%
7 3037
 
4.1%
6 2967
 
4.0%
8 2881
 
3.9%
Other values (2) 5673
 
7.6%
Hangul
ValueCountFrequency (%)
제 20000
15.4%
주 20000
15.4%
도 10228
7.9%
자 10030
7.7%
시 10000
7.7%
치 10000
7.7%
별 10000
7.7%
특 10000
7.7%
읍 7536
 
5.8%
한 3102
 
2.4%
Other values (12) 19302
14.8%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct67
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0110269 × 109
Minimum5.011025 × 109
Maximum5.011033 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:10.993432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.011025 × 109
5-th percentile5.011025 × 109
Q15.0110253 × 109
median5.0110256 × 109
Q35.0110259 × 109
95-th percentile5.011031 × 109
Maximum5.011033 × 109
Range7994
Interquartile range (IQR)594.25

Descriptive statistics

Standard deviation2491.4805
Coefficient of variation (CV)4.9719958 × 10-7
Kurtosis-0.39449893
Mean5.0110269 × 109
Median Absolute Deviation (MAD)298
Skewness1.2007697
Sum5.0110269 × 1013
Variance6207474.9
MonotonicityNot monotonic
2023-12-13T01:06:11.162035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5011031021 384
 
3.8%
5011025339 367
 
3.7%
5011025630 359
 
3.6%
5011025632 346
 
3.5%
5011031026 298
 
3.0%
5011031030 295
 
2.9%
5011025627 284
 
2.8%
5011025634 277
 
2.8%
5011031023 268
 
2.7%
5011025029 262
 
2.6%
Other values (57) 6860
68.6%
ValueCountFrequency (%)
5011025027 111
1.1%
5011025028 25
 
0.2%
5011025029 262
2.6%
5011025030 144
1.4%
5011025031 89
 
0.9%
5011025032 54
 
0.5%
5011025033 99
 
1.0%
5011025034 111
1.1%
5011025035 1
 
< 0.1%
5011025321 236
2.4%
ValueCountFrequency (%)
5011033021 228
2.3%
5011032025 9
 
0.1%
5011032024 6
 
0.1%
5011032023 7
 
0.1%
5011032022 5
 
0.1%
5011032021 3
 
< 0.1%
5011031030 295
2.9%
5011031029 203
2.0%
5011031028 59
 
0.6%
5011031027 202
2.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct9582
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.441987
Minimum33.274631
Maximum33.961563
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:11.352695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.274631
5-th percentile33.30666
Q133.367452
median33.456563
Q333.509046
95-th percentile33.547184
Maximum33.961563
Range0.68693197
Interquartile range (IQR)0.14159349

Descriptive statistics

Standard deviation0.083429514
Coefficient of variation (CV)0.0024947535
Kurtosis2.6536716
Mean33.441987
Median Absolute Deviation (MAD)0.06051596
Skewness0.30990451
Sum334419.87
Variance0.0069604838
MonotonicityNot monotonic
2023-12-13T01:06:11.546297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.51232671 17
 
0.2%
33.5050209 7
 
0.1%
33.5459004 7
 
0.1%
33.55503916 5
 
0.1%
33.31797028 5
 
0.1%
33.52253684 4
 
< 0.1%
33.52967969 4
 
< 0.1%
33.43043824 4
 
< 0.1%
33.42749828 4
 
< 0.1%
33.38955096 4
 
< 0.1%
Other values (9572) 9939
99.4%
ValueCountFrequency (%)
33.2746314 1
< 0.1%
33.27649839 1
< 0.1%
33.2766078 1
< 0.1%
33.27707095 1
< 0.1%
33.27827368 1
< 0.1%
33.27847167 2
< 0.1%
33.27850996 1
< 0.1%
33.27870914 1
< 0.1%
33.2788036 1
< 0.1%
33.27982226 1
< 0.1%
ValueCountFrequency (%)
33.96156337 1
< 0.1%
33.96141592 1
< 0.1%
33.96133724 1
< 0.1%
33.95940029 1
< 0.1%
33.95913629 1
< 0.1%
33.959021 1
< 0.1%
33.95866623 1
< 0.1%
33.958169 1
< 0.1%
33.95590831 1
< 0.1%
33.9538877 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct9578
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.49382
Minimum126.16246
Maximum126.97012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:11.713305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16246
5-th percentile126.19137
Q1126.26526
median126.38761
Q3126.75493
95-th percentile126.88489
Maximum126.97012
Range0.8076654
Interquartile range (IQR)0.489671

Descriptive statistics

Standard deviation0.25145843
Coefficient of variation (CV)0.0019879109
Kurtosis-1.4639588
Mean126.49382
Median Absolute Deviation (MAD)0.18129075
Skewness0.35769644
Sum1264938.2
Variance0.063231343
MonotonicityNot monotonic
2023-12-13T01:06:11.883954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6445795 17
 
0.2%
126.6452107 7
 
0.1%
126.7802931 7
 
0.1%
126.2511765 5
 
0.1%
126.7655038 5
 
0.1%
126.4264063 4
 
< 0.1%
126.7977579 4
 
< 0.1%
126.4359735 4
 
< 0.1%
126.3827726 4
 
< 0.1%
126.3599156 4
 
< 0.1%
Other values (9568) 9939
99.4%
ValueCountFrequency (%)
126.1624574 1
< 0.1%
126.1634377 1
< 0.1%
126.1639056 1
< 0.1%
126.1639206 1
< 0.1%
126.1639695 1
< 0.1%
126.1641159 1
< 0.1%
126.1642073 1
< 0.1%
126.1644691 1
< 0.1%
126.1646068 1
< 0.1%
126.1647021 1
< 0.1%
ValueCountFrequency (%)
126.9701228 1
< 0.1%
126.9694432 1
< 0.1%
126.968957 1
< 0.1%
126.9686531 1
< 0.1%
126.9685225 1
< 0.1%
126.9682863 1
< 0.1%
126.9679893 1
< 0.1%
126.9666966 1
< 0.1%
126.9665867 1
< 0.1%
126.9659765 1
< 0.1%

비고 외
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전
6299 
임
1979 
과
1483 
잡
 
171
답
 
68

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전
2nd row전
3rd row전
4th row과
5th row전

Common Values

ValueCountFrequency (%)
전 6299
63.0%
임 1979
 
19.8%
과 1483
 
14.8%
잡 171
 
1.7%
답 68
 
0.7%

Length

2023-12-13T01:06:12.038846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:12.156444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전 6299
63.0%
임 1979
 
19.8%
과 1483
 
14.8%
잡 171
 
1.7%
답 68
 
0.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-03
10000 

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 10000
100.0%

Length

2023-12-13T01:06:12.302629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:12.422358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-03 10000
100.0%

Interactions

2023-12-13T01:06:07.741829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:06.476315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:06.870592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.311767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.834998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:06.570019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:06.969137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.400592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.948929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:06.670611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.091808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.504645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:08.045377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:06.768990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.198079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:07.608795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:06:12.484202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호일반정보행정동코드위도경도비고 외
번호1.0000.4060.9320.8120.8560.393
일반정보0.4061.0000.2500.3000.5180.462
행정동코드0.9320.2501.0000.8210.8670.321
위도0.8120.3000.8211.0000.8130.111
경도0.8560.5180.8670.8131.0000.306
비고 외0.3930.4620.3210.1110.3061.000
2023-12-13T01:06:12.583574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일반정보비고 외
일반정보1.0000.394
비고 외0.3941.000
2023-12-13T01:06:12.672296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동코드위도경도일반정보비고 외
번호1.000-1.0000.1130.1010.2670.174
행정동코드-1.0001.000-0.112-0.1000.1930.123
위도0.113-0.1121.0000.8710.1300.075
경도0.101-0.1000.8711.0000.2670.182
일반정보0.2670.1930.1300.2671.0000.394
비고 외0.1740.1230.0750.1820.3941.000

Missing values

2023-12-13T01:06:08.176543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:06:08.316917image/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
1620316204밭<NA>제주특별자치도 제주시 한경면 1677-1501103102333.296433126.183053전2022-11-03
8268482685밭<NA>제주특별자치도 제주시 애월읍 982-1501102532433.470256126.38177전2022-11-03
1014910150과수<NA>제주특별자치도 제주시 한경면 3070501103102633.310764126.216969전2022-11-03
6824068241과수<NA>제주특별자치도 제주시 애월읍 306501102533733.434223126.319972과2022-11-03
6578765788시설제주특별자치도 제주시 애월읍 녹근로제주특별자치도 제주시 애월읍 850501102533933.388119126.329655전2022-11-03
1165011651과수<NA>제주특별자치도 제주시 한경면 613-5501103102633.342584126.229658과2022-11-03
6342263423밭<NA>제주특별자치도 제주시 애월읍 4344-1501102533933.410937126.312014전2022-11-03
99849985밭<NA>제주특별자치도 제주시 한경면 3299-1501103102633.307274126.2191전2022-11-03
5014750148밭<NA>제주특별자치도 제주시 구좌읍 445-1501102562933.517209126.866539전2022-11-03
63926393시설<NA>제주특별자치도 제주시 한경면 543-1501103102933.305014126.237881과2022-11-03
번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외데이터기준일자
3203432035밭<NA>제주특별자치도 제주시 조천읍 1868-3501102592333.516165126.639642전2022-11-03
4730547306밭<NA>제주특별자치도 제주시 구좌읍 2859501102563033.535237126.816327전2022-11-03
5893858939밭<NA>제주특별자치도 제주시 구좌읍 1449501102562433.47156126.748951전2022-11-03
9194491945과수<NA>제주특별자치도 제주시 한림읍 3648501102502933.389025126.286326전2022-11-03
8521285213밭<NA>제주특별자치도 제주시 애월읍 2272501102532133.460717126.431846전2022-11-03
4844848449밭<NA>제주특별자치도 제주시 구좌읍 1230-1501102563033.536284126.831469전2022-11-03
6310563106밭<NA>제주특별자치도 제주시 애월읍 104501102534033.481786126.417734전2022-11-03
988989밭<NA>제주특별자치도 제주시 우도면 1491501103302133.502664126.956918전2022-11-03
6197861979밭<NA>제주특별자치도 제주시 애월읍 2723501102534133.485387126.391178전2022-11-03
3911739118밭<NA>제주특별자치도 제주시 구좌읍 2110501102563333.524108126.833905전2022-11-03