Overview

Dataset statistics

Number of variables9
Number of observations28
Missing cells2
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory80.6 B

Variable types

Numeric4
Text4
DateTime1

Dataset

Description해당 자료는 제주특별자치도 내 등록되어 있는 관광농원 현황을 담고 있으며, 세부적으로는 행정동 정보 등 포함하고 있습니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15110847/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 행정동코드 and 1 other fieldsHigh correlation
행정동코드 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
소재지 도로명주소 has 2 (7.1%) missing valuesMissing
번호 has unique valuesUnique
일반정보 has unique valuesUnique

Reproduction

Analysis started2024-04-21 03:23:14.893476
Analysis finished2024-04-21 03:23:18.504291
Duration3.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-04-21T12:23:18.615454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2024-04-21T12:23:18.834462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

일반정보
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-04-21T12:23:19.477893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length7.6428571
Min length3

Characters and Unicode

Total characters214
Distinct characters90
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

Unique28 ?
Unique (%)100.0%

Sample

1st row선흘캐릭월드관광농원
2nd row선흘캐릭랜드
3rd row선흘점프코리아관광농원
4th row선녀와나무꾼
5th row마중물관광농원(화목원)
ValueCountFrequency (%)
관광농원 2
 
6.5%
선흘캐릭월드관광농원 1
 
3.2%
제주허브동산 1
 
3.2%
동백포레스트관광광농원 1
 
3.2%
남원관광농원 1
 
3.2%
쇠소깍산물관광농원 1
 
3.2%
베케 1
 
3.2%
백록베이스볼타운 1
 
3.2%
오늘은관광농원 1
 
3.2%
트로이테마농원 1
 
3.2%
Other values (20) 20
64.5%
2024-04-21T12:23:20.344560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 24
 
11.2%
광 21
 
9.8%
농 21
 
9.8%
관 20
 
9.3%
리 5
 
2.3%
선 4
 
1.9%
주 4
 
1.9%
스 4
 
1.9%
흘 3
 
1.4%
제 3
 
1.4%
Other values (80) 105
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
97.7%
Space Separator 3
 
1.4%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
 
11.5%
광 21
 
10.0%
농 21
 
10.0%
관 20
 
9.6%
리 5
 
2.4%
선 4
 
1.9%
주 4
 
1.9%
스 4
 
1.9%
흘 3
 
1.4%
제 3
 
1.4%
Other values (77) 100
47.8%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
97.7%
Common 5
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
 
11.5%
광 21
 
10.0%
농 21
 
10.0%
관 20
 
9.6%
리 5
 
2.4%
선 4
 
1.9%
주 4
 
1.9%
스 4
 
1.9%
흘 3
 
1.4%
제 3
 
1.4%
Other values (77) 100
47.8%
Common
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
97.7%
ASCII 5
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 24
 
11.5%
광 21
 
10.0%
농 21
 
10.0%
관 20
 
9.6%
리 5
 
2.4%
선 4
 
1.9%
주 4
 
1.9%
스 4
 
1.9%
흘 3
 
1.4%
제 3
 
1.4%
Other values (77) 100
47.8%
ASCII
ValueCountFrequency (%)
3
60.0%
( 1
 
20.0%
) 1
 
20.0%

소재지 도로명주소
Text

MISSING 

Distinct21
Distinct (%)80.8%
Missing2
Missing (%)7.1%
Memory size352.0 B
2024-04-21T12:23:20.918909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length20.730769
Min length17

Characters and Unicode

Total characters539
Distinct characters71
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

Unique18 ?
Unique (%)69.2%

Sample

1st row제주특별자치도 제주시 조천읍 선교로
2nd row제주특별자치도 제주시 조천읍 선교로
3rd row제주특별자치도 제주시 조천읍 선교로
4th row제주특별자치도 제주시 조천읍 선교로
5th row제주특별자치도 제주시 연화남길
ValueCountFrequency (%)
제주특별자치도 26
26.5%
서귀포시 14
14.3%
제주시 12
12.2%
조천읍 6
 
6.1%
선교로 4
 
4.1%
남원읍 4
 
4.1%
애월읍 3
 
3.1%
표선면 2
 
2.0%
안덕면 2
 
2.0%
남조로 2
 
2.0%
Other values (22) 23
23.5%
2024-04-21T12:23:21.684073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
18.2%
주 41
 
7.6%
제 38
 
7.1%
특 26
 
4.8%
별 26
 
4.8%
자 26
 
4.8%
치 26
 
4.8%
도 26
 
4.8%
시 26
 
4.8%
로 21
 
3.9%
Other values (61) 185
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
80.9%
Space Separator 98
 
18.2%
Decimal Number 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
9.4%
제 38
 
8.7%
특 26
 
6.0%
별 26
 
6.0%
자 26
 
6.0%
치 26
 
6.0%
도 26
 
6.0%
시 26
 
6.0%
로 21
 
4.8%
서 19
 
4.4%
Other values (56) 161
36.9%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
5 1
20.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
80.9%
Common 103
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
9.4%
제 38
 
8.7%
특 26
 
6.0%
별 26
 
6.0%
자 26
 
6.0%
치 26
 
6.0%
도 26
 
6.0%
시 26
 
6.0%
로 21
 
4.8%
서 19
 
4.4%
Other values (56) 161
36.9%
Common
ValueCountFrequency (%)
98
95.1%
1 2
 
1.9%
2 1
 
1.0%
5 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
80.9%
ASCII 103
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
95.1%
1 2
 
1.9%
2 1
 
1.0%
5 1
 
1.0%
3 1
 
1.0%
Hangul
ValueCountFrequency (%)
주 41
 
9.4%
제 38
 
8.7%
특 26
 
6.0%
별 26
 
6.0%
자 26
 
6.0%
치 26
 
6.0%
도 26
 
6.0%
시 26
 
6.0%
로 21
 
4.8%
서 19
 
4.4%
Other values (56) 161
36.9%

소재지 지번주소
Text

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-04-21T12:23:22.258071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length19.607143
Min length15

Characters and Unicode

Total characters549
Distinct characters61
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

Unique18 ?
Unique (%)64.3%

Sample

1st row제주특별자치도 제주시 조천읍 선흘리
2nd row제주특별자치도 제주시 조천읍 선흘리
3rd row제주특별자치도 제주시 조천읍 선흘리
4th row제주특별자치도 제주시 조천읍 선흘리
5th row제주특별자치도 제주시 연동
ValueCountFrequency (%)
제주특별자치도 28
26.4%
서귀포시 15
14.2%
제주시 13
12.3%
조천읍 7
 
6.6%
선흘리 4
 
3.8%
남원읍 4
 
3.8%
안덕면 3
 
2.8%
애월읍 3
 
2.8%
신례리 2
 
1.9%
표선면 2
 
1.9%
Other values (23) 25
23.6%
2024-04-21T12:23:23.041371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
18.9%
제 41
 
7.5%
주 41
 
7.5%
특 28
 
5.1%
별 28
 
5.1%
자 28
 
5.1%
치 28
 
5.1%
도 28
 
5.1%
시 28
 
5.1%
리 22
 
4.0%
Other values (51) 173
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
81.1%
Space Separator 104
 
18.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 41
 
9.2%
주 41
 
9.2%
특 28
 
6.3%
별 28
 
6.3%
자 28
 
6.3%
치 28
 
6.3%
도 28
 
6.3%
시 28
 
6.3%
리 22
 
4.9%
읍 18
 
4.0%
Other values (50) 155
34.8%
Space Separator
ValueCountFrequency (%)
104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
81.1%
Common 104
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 41
 
9.2%
주 41
 
9.2%
특 28
 
6.3%
별 28
 
6.3%
자 28
 
6.3%
치 28
 
6.3%
도 28
 
6.3%
시 28
 
6.3%
리 22
 
4.9%
읍 18
 
4.0%
Other values (50) 155
34.8%
Common
ValueCountFrequency (%)
104
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
81.1%
ASCII 104
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
100.0%
Hangul
ValueCountFrequency (%)
제 41
 
9.2%
주 41
 
9.2%
특 28
 
6.3%
별 28
 
6.3%
자 28
 
6.3%
치 28
 
6.3%
도 28
 
6.3%
시 28
 
6.3%
리 22
 
4.9%
읍 18
 
4.0%
Other values (50) 155
34.8%

행정동코드
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0120953 × 109
Minimum5.0110117 × 109
Maximum5.013032 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-04-21T12:23:23.260920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.0110117 × 109
5-th percentile5.0110178 × 109
Q15.0110259 × 109
median5.0130106 × 109
Q35.0130253 × 109
95-th percentile5.0130317 × 109
Maximum5.013032 × 109
Range2020323
Interquartile range (IQR)1999401.8

Descriptive statistics

Standard deviation1015494
Coefficient of variation (CV)0.00020260868
Kurtosis-2.1350894
Mean5.0120953 × 109
Median Absolute Deviation (MAD)21372
Skewness-0.15139139
Sum1.4033867 × 1011
Variance1.0312281 × 1012
MonotonicityNot monotonic
2024-04-21T12:23:23.491913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5011025930 4
 
14.3%
5011025922 2
 
7.1%
5013031024 2
 
7.1%
5013025329 2
 
7.1%
5013011300 1
 
3.6%
5013025321 1
 
3.6%
5013025328 1
 
3.6%
5013010900 1
 
3.6%
5013025924 1
 
3.6%
5013032023 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
5011011700 1
 
3.6%
5011013700 1
 
3.6%
5011025321 1
 
3.6%
5011025335 1
 
3.6%
5011025336 1
 
3.6%
5011025922 2
7.1%
5011025929 1
 
3.6%
5011025930 4
14.3%
5011031025 1
 
3.6%
5013010400 1
 
3.6%
ValueCountFrequency (%)
5013032023 1
3.6%
5013032021 1
3.6%
5013031027 1
3.6%
5013031024 2
7.1%
5013025924 1
3.6%
5013025329 2
7.1%
5013025328 1
3.6%
5013025321 1
3.6%
5013025030 1
3.6%
5013012000 1
3.6%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.367827
Minimum33.250291
Maximum33.479621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-04-21T12:23:23.712325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.250291
5-th percentile33.25428
Q133.287613
median33.361309
Q333.461652
95-th percentile33.479594
Maximum33.479621
Range0.22933012
Interquartile range (IQR)0.17403962

Descriptive statistics

Standard deviation0.08871388
Coefficient of variation (CV)0.0026586652
Kurtosis-1.7872594
Mean33.367827
Median Absolute Deviation (MAD)0.081055975
Skewness0.036965806
Sum934.29914
Variance0.0078701526
MonotonicityNot monotonic
2024-04-21T12:23:23.923206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
33.47959444 3
 
10.7%
33.30853475 1
 
3.6%
33.28166791 1
 
3.6%
33.3003198 1
 
3.6%
33.28930203 1
 
3.6%
33.25787227 1
 
3.6%
33.26195396 1
 
3.6%
33.44010961 1
 
3.6%
33.38183816 1
 
3.6%
33.29078649 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
33.25029067 1
3.6%
33.25234559 1
3.6%
33.25787227 1
3.6%
33.26195396 1
3.6%
33.26339597 1
3.6%
33.28166791 1
3.6%
33.28254416 1
3.6%
33.28930203 1
3.6%
33.29014019 1
3.6%
33.29078649 1
3.6%
ValueCountFrequency (%)
33.47962079 1
 
3.6%
33.47959444 3
10.7%
33.47283634 1
 
3.6%
33.4687254 1
 
3.6%
33.46517952 1
 
3.6%
33.4604764 1
 
3.6%
33.44377986 1
 
3.6%
33.44010961 1
 
3.6%
33.43453751 1
 
3.6%
33.41130805 1
 
3.6%

경도
Real number (ℝ)

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55714
Minimum126.21545
Maximum126.92001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size380.0 B
2024-04-21T12:23:24.125351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.21545
5-th percentile126.29252
Q1126.37945
median126.61484
Q3126.69602
95-th percentile126.80645
Maximum126.92001
Range0.7045595
Interquartile range (IQR)0.31657097

Descriptive statistics

Standard deviation0.18026053
Coefficient of variation (CV)0.0014243411
Kurtosis-0.84385264
Mean126.55714
Median Absolute Deviation (MAD)0.1068209
Skewness-0.11653729
Sum3543.5998
Variance0.032493858
MonotonicityNot monotonic
2024-04-21T12:23:24.347188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
126.7005408 3
 
10.7%
126.6343808 1
 
3.6%
126.3678882 1
 
3.6%
126.6362025 1
 
3.6%
126.6945167 1
 
3.6%
126.6247055 1
 
3.6%
126.6049729 1
 
3.6%
126.9200068 1
 
3.6%
126.7910697 1
 
3.6%
126.3021221 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
126.2154473 1
3.6%
126.2873438 1
3.6%
126.3021221 1
3.6%
126.3472786 1
3.6%
126.3678882 1
3.6%
126.3683652 1
3.6%
126.3720053 1
3.6%
126.3819339 1
3.6%
126.428788 1
3.6%
126.4459795 1
3.6%
ValueCountFrequency (%)
126.9200068 1
 
3.6%
126.8147261 1
 
3.6%
126.7910697 1
 
3.6%
126.702685 1
 
3.6%
126.7005408 3
10.7%
126.6945167 1
 
3.6%
126.6720965 1
 
3.6%
126.661082 1
 
3.6%
126.6596 1
 
3.6%
126.6362025 1
 
3.6%

비고 외
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size352.0 B
2024-04-21T12:23:24.986761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16.5
Mean length11.75
Min length4

Characters and Unicode

Total characters329
Distinct characters65
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)85.7%

Sample

1st row관람, 휴게실,사무소
2nd row관람, 휴게실,사무소
3rd row관람, 소매점,사무소
4th row관람, 음식점,소매점, 사무소
5th row음식점, 소매점,야영장
ValueCountFrequency (%)
소매점 5
 
9.4%
관람 4
 
7.5%
음식점 3
 
5.7%
등 3
 
5.7%
체험농장,휴게음식점 2
 
3.8%
휴게실,사무소 2
 
3.8%
판매점 2
 
3.8%
숙박 2
 
3.8%
숙박시설 1
 
1.9%
판매점등 1
 
1.9%
Other values (28) 28
52.8%
2024-04-21T12:23:25.843556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 49
 
14.9%
25
 
7.6%
점 21
 
6.4%
소 16
 
4.9%
식 15
 
4.6%
장 15
 
4.6%
매 15
 
4.6%
음 14
 
4.3%
체 11
 
3.3%
험 11
 
3.3%
Other values (55) 137
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
75.1%
Other Punctuation 49
 
14.9%
Space Separator 25
 
7.6%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 21
 
8.5%
소 16
 
6.5%
식 15
 
6.1%
장 15
 
6.1%
매 15
 
6.1%
음 14
 
5.7%
체 11
 
4.5%
험 11
 
4.5%
휴 9
 
3.6%
게 9
 
3.6%
Other values (49) 111
44.9%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
V 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
75.1%
Common 80
 
24.3%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 21
 
8.5%
소 16
 
6.5%
식 15
 
6.1%
장 15
 
6.1%
매 15
 
6.1%
음 14
 
5.7%
체 11
 
4.5%
험 11
 
4.5%
휴 9
 
3.6%
게 9
 
3.6%
Other values (49) 111
44.9%
Common
ValueCountFrequency (%)
, 49
61.3%
25
31.2%
( 3
 
3.8%
) 3
 
3.8%
Latin
ValueCountFrequency (%)
R 1
50.0%
V 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
75.1%
ASCII 82
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 49
59.8%
25
30.5%
( 3
 
3.7%
) 3
 
3.7%
R 1
 
1.2%
V 1
 
1.2%
Hangul
ValueCountFrequency (%)
점 21
 
8.5%
소 16
 
6.5%
식 15
 
6.1%
장 15
 
6.1%
매 15
 
6.1%
음 14
 
5.7%
체 11
 
4.5%
험 11
 
4.5%
휴 9
 
3.6%
게 9
 
3.6%
Other values (49) 111
44.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size352.0 B
Minimum2022-11-03 00:00:00
Maximum2022-11-03 00:00:00
2024-04-21T12:23:26.028253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:26.182461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T12:23:17.499522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:15.455877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:16.235644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:16.893721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:17.644387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:15.590788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:16.389316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:17.026893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:17.821125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:15.751382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:16.567412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:17.190979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:17.966735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:16.083882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:16.719228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:23:17.319024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T12:23:26.314448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외
번호1.0001.0000.9470.8610.9920.7180.4181.000
일반정보1.0001.0001.0001.0001.0001.0001.0001.000
소재지 도로명주소0.9471.0001.0000.9981.0001.0000.9841.000
소재지 지번주소0.8611.0000.9981.0001.0001.0001.0000.991
행정동코드0.9921.0001.0001.0001.0000.8380.6031.000
위도0.7181.0001.0001.0000.8381.0000.8560.953
경도0.4181.0000.9841.0000.6030.8561.0000.972
비고 외1.0001.0001.0000.9911.0000.9530.9721.000
2024-04-21T12:23:26.507051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호행정동코드위도경도
번호1.0000.727-0.777-0.136
행정동코드0.7271.000-0.5650.105
위도-0.777-0.5651.0000.451
경도-0.1360.1050.4511.000

Missing values

2024-04-21T12:23:18.181973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T12:23:18.414651image/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
01선흘캐릭월드관광농원제주특별자치도 제주시 조천읍 선교로제주특별자치도 제주시 조천읍 선흘리501102593033.479594126.700541관람, 휴게실,사무소2022-11-03
12선흘캐릭랜드제주특별자치도 제주시 조천읍 선교로제주특별자치도 제주시 조천읍 선흘리501102593033.479594126.700541관람, 휴게실,사무소2022-11-03
23선흘점프코리아관광농원제주특별자치도 제주시 조천읍 선교로제주특별자치도 제주시 조천읍 선흘리501102593033.479594126.700541관람, 소매점,사무소2022-11-03
34선녀와나무꾼제주특별자치도 제주시 조천읍 선교로제주특별자치도 제주시 조천읍 선흘리501102593033.479621126.702685관람, 음식점,소매점, 사무소2022-11-03
45마중물관광농원(화목원)제주특별자치도 제주시 연화남길제주특별자치도 제주시 연동501101370033.472836126.489043음식점, 소매점,야영장2022-11-03
56자연인관광농원제주특별자치도 제주시 아란서길제주특별자치도 제주시 아라일동501101170033.468725126.539957음식, 소매,야영장,숙박(민박),체험장 등2022-11-03
67제주약초마을관광농원제주특별자치도 제주시 조천읍 남조로제주특별자치도 제주시 조천읍 와흘리501102592233.460476126.661082발효,숙성,건조실,소매점2022-11-03
78홍스랜드관광농원제주특별자치도 제주시 애월읍 어음13길제주특별자치도 제주시 애월읍 어음리501102533633.402891126.347279일반음식,숙박(펜션),휴게음식, 소매점2022-11-03
89제주감귤향기관광농원제주특별자치도 제주시 한경면 금등대안1길제주특별자치도 제주시 한경면 금등리501103102533.340779126.215447일반음식,숙박(민박),휴게음식, 소매점2022-11-03
910화조원관광농원제주특별자치도 제주시 애월읍 애원로제주특별자치도 제주시 애월읍 납읍리501102533533.411308126.372005휴게음식, 소매점2022-11-03
번호일반정보소재지 도로명주소소재지 지번주소행정동코드위도경도비고 외데이터기준일자
1819중문미로관광농원제주특별자치도 서귀포시 일주서로제주특별자치도 서귀포시 상예동501301200033.263396126.381934체험농장,미로공원2022-11-03
1920노리매제주특별자치도 서귀포시 대정읍 중산간서로제주특별자치도 서귀포시 대정읍 구억리501302503033.282544126.287344숙박시설, 판매점등2022-11-03
2021트로이테마농원제주특별자치도 서귀포시 안덕면 녹차분재로제주특별자치도 서귀포시 안덕면 서광리501303102733.290786126.302122판매점, 승마체험등2022-11-03
2122오늘은관광농원제주특별자치도 서귀포시 표선면 중산간동로제주특별자치도 서귀포시 표선면 성읍리501303202333.381838126.79107판매점, 체험농장등2022-11-03
2223백록베이스볼타운제주특별자치도 서귀포시 성산읍 섭지코지로25번길제주특별자치도 서귀포시 성산읍 고성리501302592433.44011126.920007숙박, 음식점 등2022-11-03
2324베케 관광농원제주특별자치도 서귀포시 효돈로제주특별자치도 서귀포시 신효동501301090033.261954126.604973카페,체험농장 등2022-11-03
2425쇠소깍산물관광농원제주특별자치도 서귀포시 남원읍 하례로제주특별자치도 서귀포시 남원읍 하례리501302532833.257872126.624706체험농장, 소매점등2022-11-03
2526남원관광농원제주특별자치도 서귀포시 남원읍 남위남성로제주특별자치도 서귀포시 남원읍 남원리501302532133.289302126.694517체험농장,휴게음식점,유원시설2022-11-03
2627동백포레스트관광광농원제주특별자치도 서귀포시 남원읍 생기악로제주특별자치도 서귀포시 남원읍 신례리501302532933.30032126.636202체험농장,휴게음식점2022-11-03
2728파더스가든관광농원<NA>제주특별자치도 서귀포시 안덕면 상창리501303102433.281668126.367888체험농장,휴게음식점2022-11-03