Overview

Dataset statistics

Number of variables11
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory97.7 B

Variable types

Numeric5
Categorical6

Dataset

Description- 제주특별자치도에 위치한 해수욕장별로 백사장 면적, 화장실 수 등의 정보와 연도별 이용객 수 정보를 제공합니다. - 데이터 제공처: 공공데이터포털
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/784

Alerts

데이터기준일자 has constant value ""Constant
화장실(동) is highly overall correlated with 백사장길이(m) and 3 other fieldsHigh correlation
행정시 is highly overall correlated with 백사장면적(㎡) and 3 other fieldsHigh correlation
해변명 is highly overall correlated with 백사장면적(㎡) and 6 other fieldsHigh correlation
샤워장 is highly overall correlated with 백사장면적(㎡) and 4 other fieldsHigh correlation
식수대 is highly overall correlated with 백사장길이(m) and 4 other fieldsHigh correlation
백사장면적(㎡) is highly overall correlated with 행정시 and 2 other fieldsHigh correlation
백사장길이(m) is highly overall correlated with 행정시 and 4 other fieldsHigh correlation
주차장(대) is highly overall correlated with 행정시 and 4 other fieldsHigh correlation
이용객수(명) has 5 (6.4%) zerosZeros

Reproduction

Analysis started2023-12-11 20:06:37.112387
Analysis finished2023-12-11 20:06:40.681725
Duration3.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일(년)
Real number (ℝ)

Distinct7
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.0385
Minimum2016
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T05:06:40.746916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2019
Q32021
95-th percentile2022
Maximum2022
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0286411
Coefficient of variation (CV)0.001004756
Kurtosis-1.2672471
Mean2019.0385
Median Absolute Deviation (MAD)2
Skewness-0.015275589
Sum157485
Variance4.1153846
MonotonicityIncreasing
2023-12-12T05:06:40.905944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2022 12
15.4%
2016 11
14.1%
2017 11
14.1%
2018 11
14.1%
2019 11
14.1%
2020 11
14.1%
2021 11
14.1%
ValueCountFrequency (%)
2016 11
14.1%
2017 11
14.1%
2018 11
14.1%
2019 11
14.1%
2020 11
14.1%
2021 11
14.1%
2022 12
15.4%
ValueCountFrequency (%)
2022 12
15.4%
2021 11
14.1%
2020 11
14.1%
2019 11
14.1%
2018 11
14.1%
2017 11
14.1%
2016 11
14.1%

행정시
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
제주시
50 
서귀포시
28 

Length

Max length4
Median length3
Mean length3.3589744
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 50
64.1%
서귀포시 28
35.9%

Length

2023-12-12T05:06:41.044921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:06:41.156395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 50
64.1%
서귀포시 28
35.9%

해변명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
이호테우
7 
삼양
7 
협재
7 
금능
7 
곽지
7 
Other values (7)
43 

Length

Max length5
Median length4
Mean length2.9871795
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row이호테우
2nd row삼양
3rd row협재
4th row금능
5th row곽지

Common Values

ValueCountFrequency (%)
이호테우 7
9.0%
삼양 7
9.0%
협재 7
9.0%
금능 7
9.0%
곽지 7
9.0%
김녕 7
9.0%
월정 7
9.0%
중문색달 7
9.0%
신양섭지 7
9.0%
화순금모래 7
9.0%
Other values (2) 8
10.3%

Length

2023-12-12T05:06:41.281616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이호테우 7
9.0%
삼양 7
9.0%
협재 7
9.0%
금능 7
9.0%
곽지 7
9.0%
김녕 7
9.0%
월정 7
9.0%
중문색달 7
9.0%
신양섭지 7
9.0%
화순금모래 7
9.0%
Other values (2) 8
10.3%

백사장면적(㎡)
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44581.179
Minimum2721
Maximum240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T05:06:41.388361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2721
5-th percentile2721
Q112043
median20044
Q331364
95-th percentile240000
Maximum240000
Range237279
Interquartile range (IQR)19321

Descriptive statistics

Standard deviation66350.406
Coefficient of variation (CV)1.4883053
Kurtosis4.3557597
Mean44581.179
Median Absolute Deviation (MAD)8001
Skewness2.3544835
Sum3477332
Variance4.4023764 × 109
MonotonicityNot monotonic
2023-12-12T05:06:41.514239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
31364 7
9.0%
20044 7
9.0%
15346 7
9.0%
2721 7
9.0%
17128 7
9.0%
23113 7
9.0%
12043 7
9.0%
28000 7
9.0%
97500 7
9.0%
240000 7
9.0%
Other values (2) 8
10.3%
ValueCountFrequency (%)
2721 7
9.0%
7800 7
9.0%
11919 1
 
1.3%
12043 7
9.0%
15346 7
9.0%
17128 7
9.0%
20044 7
9.0%
23113 7
9.0%
28000 7
9.0%
31364 7
9.0%
ValueCountFrequency (%)
240000 7
9.0%
97500 7
9.0%
31364 7
9.0%
28000 7
9.0%
23113 7
9.0%
20044 7
9.0%
17128 7
9.0%
15346 7
9.0%
12043 7
9.0%
11919 1
 
1.3%

백사장길이(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.71795
Minimum111
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T05:06:41.658970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111
5-th percentile163
Q1213
median286
Q3560
95-th percentile650
Maximum650
Range539
Interquartile range (IQR)347

Descriptive statistics

Standard deviation176.16321
Coefficient of variation (CV)0.47519472
Kurtosis-1.2970401
Mean370.71795
Median Absolute Deviation (MAD)123
Skewness0.46294202
Sum28916
Variance31033.478
MonotonicityNot monotonic
2023-12-12T05:06:41.806862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
650 14
17.9%
286 7
9.0%
260 7
9.0%
163 7
9.0%
213 7
9.0%
254 7
9.0%
429 7
9.0%
560 7
9.0%
200 7
9.0%
450 7
9.0%
ValueCountFrequency (%)
111 1
 
1.3%
163 7
9.0%
200 7
9.0%
213 7
9.0%
254 7
9.0%
260 7
9.0%
286 7
9.0%
429 7
9.0%
450 7
9.0%
560 7
9.0%
ValueCountFrequency (%)
650 14
17.9%
560 7
9.0%
450 7
9.0%
429 7
9.0%
286 7
9.0%
260 7
9.0%
254 7
9.0%
213 7
9.0%
200 7
9.0%
163 7
9.0%

화장실(동)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
2
28 
1
28 
3
21 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row2
2nd row2
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
2 28
35.9%
1 28
35.9%
3 21
26.9%
4 1
 
1.3%

Length

2023-12-12T05:06:41.979712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:06:42.398811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 28
35.9%
1 28
35.9%
3 21
26.9%
4 1
 
1.3%

샤워장
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
1
56 
2
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 56
71.8%
2 22
 
28.2%

Length

2023-12-12T05:06:42.573670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:06:42.708286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
71.8%
2 22
 
28.2%

식수대
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
2
35 
1
21 
3
15 
0
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 35
44.9%
1 21
26.9%
3 15
19.2%
0 7
 
9.0%

Length

2023-12-12T05:06:42.817778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:06:42.938735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 35
44.9%
1 21
26.9%
3 15
19.2%
0 7
 
9.0%

주차장(대)
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.87179
Minimum37
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T05:06:43.076113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile37
Q1112
median125
Q3287
95-th percentile800
Maximum800
Range763
Interquartile range (IQR)175

Descriptive statistics

Standard deviation206.71766
Coefficient of variation (CV)0.91519909
Kurtosis3.0914232
Mean225.87179
Median Absolute Deviation (MAD)27
Skewness1.9762712
Sum17618
Variance42732.191
MonotonicityNot monotonic
2023-12-12T05:06:43.240106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
125 7
9.0%
120 7
9.0%
800 7
9.0%
112 7
9.0%
287 7
9.0%
256 7
9.0%
314 7
9.0%
152 7
9.0%
37 7
9.0%
121 7
9.0%
Other values (2) 8
10.3%
ValueCountFrequency (%)
37 7
9.0%
100 7
9.0%
112 7
9.0%
120 7
9.0%
121 7
9.0%
125 7
9.0%
152 7
9.0%
256 7
9.0%
287 7
9.0%
314 7
9.0%
ValueCountFrequency (%)
800 7
9.0%
650 1
 
1.3%
314 7
9.0%
287 7
9.0%
256 7
9.0%
152 7
9.0%
125 7
9.0%
121 7
9.0%
120 7
9.0%
112 7
9.0%

이용객수(명)
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145912.23
Minimum0
Maximum969440
Zeros5
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T05:06:43.432631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q141122.5
median83505
Q3219762.5
95-th percentile418121.5
Maximum969440
Range969440
Interquartile range (IQR)178640

Descriptive statistics

Standard deviation165751.66
Coefficient of variation (CV)1.1359683
Kurtosis8.086633
Mean145912.23
Median Absolute Deviation (MAD)66105
Skewness2.4263299
Sum11381154
Variance2.7473614 × 1010
MonotonicityNot monotonic
2023-12-12T05:06:43.635447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
6.4%
625300 1
 
1.3%
83300 1
 
1.3%
95618 1
 
1.3%
105252 1
 
1.3%
41120 1
 
1.3%
109414 1
 
1.3%
52410 1
 
1.3%
23149 1
 
1.3%
18050 1
 
1.3%
Other values (64) 64
82.1%
ValueCountFrequency (%)
0 5
6.4%
5108 1
 
1.3%
9540 1
 
1.3%
11035 1
 
1.3%
11610 1
 
1.3%
13550 1
 
1.3%
16750 1
 
1.3%
18050 1
 
1.3%
23149 1
 
1.3%
23160 1
 
1.3%
ValueCountFrequency (%)
969440 1
1.3%
641880 1
1.3%
625300 1
1.3%
438700 1
1.3%
414490 1
1.3%
391050 1
1.3%
363070 1
1.3%
346910 1
1.3%
301800 1
1.3%
285510 1
1.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
2022-12-31
78 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 78
100.0%

Length

2023-12-12T05:06:43.827045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:06:43.946433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 78
100.0%

Interactions

2023-12-12T05:06:39.815645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:37.596277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.226966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.706125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:39.169086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:39.951228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:37.709200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.353464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.791206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:39.284996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:40.090920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:37.805997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.440821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.869479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:39.387105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:40.191577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:37.929077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.519726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.945203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:39.533903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:40.300157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.090503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:38.616280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:39.054757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:06:39.701059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:06:44.037773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일(년)행정시해변명백사장면적(㎡)백사장길이(m)화장실(동)샤워장식수대주차장(대)이용객수(명)
기준일(년)1.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
행정시0.0001.0001.0000.8520.9200.2120.4750.6950.7440.258
해변명0.0001.0001.0001.0001.0001.0001.0001.0001.0000.494
백사장면적(㎡)0.0000.8521.0001.0000.9520.7180.9990.8810.7150.336
백사장길이(m)0.0000.9201.0000.9521.0000.9020.8520.9880.8320.217
화장실(동)0.0000.2121.0000.7180.9021.0000.6820.8970.9040.000
샤워장0.0000.4751.0000.9990.8520.6821.0000.8270.9510.072
식수대0.0000.6951.0000.8810.9880.8970.8271.0000.7180.283
주차장(대)0.0000.7441.0000.7150.8320.9040.9510.7181.0000.268
이용객수(명)0.0000.2580.4940.3360.2170.0000.0720.2830.2681.000
2023-12-12T05:06:44.234892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
화장실(동)행정시해변명샤워장식수대
화장실(동)1.0000.1370.9440.4750.581
행정시0.1371.0000.9320.3150.486
해변명0.9440.9321.0000.9320.944
샤워장0.4750.3150.9321.0000.612
식수대0.5810.4860.9440.6121.000
2023-12-12T05:06:44.406000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일(년)백사장면적(㎡)백사장길이(m)주차장(대)이용객수(명)행정시해변명화장실(동)샤워장식수대
기준일(년)1.000-0.021-0.0330.027-0.2550.0000.0000.0000.0000.000
백사장면적(㎡)-0.0211.0000.330-0.145-0.2080.6610.9440.3420.9540.498
백사장길이(m)-0.0330.3301.000-0.230-0.1480.7250.9710.5850.6450.828
주차장(대)0.027-0.145-0.2301.0000.2660.5370.9570.7770.7810.543
이용객수(명)-0.255-0.208-0.1480.2661.0000.2650.2540.0000.0680.191
행정시0.0000.6610.7250.5370.2651.0000.9320.1370.3150.486
해변명0.0000.9440.9710.9570.2540.9321.0000.9440.9320.944
화장실(동)0.0000.3420.5850.7770.0000.1370.9441.0000.4750.581
샤워장0.0000.9540.6450.7810.0680.3150.9320.4751.0000.612
식수대0.0000.4980.8280.5430.1910.4860.9440.5810.6121.000

Missing values

2023-12-12T05:06:40.436424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:06:40.607620image/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

기준일(년)행정시해변명백사장면적(㎡)백사장길이(m)화장실(동)샤워장식수대주차장(대)이용객수(명)데이터기준일자
02016제주시이호테우313646502221256253002022-12-31
12016제주시삼양200442862111202075102022-12-31
22016제주시협재153462601128009694402022-12-31
32016제주시금능27211631121122330002022-12-31
42016제주시곽지171282133132872572502022-12-31
52016제주시김녕23113254313256835002022-12-31
62016제주시월정1204342911131402022-12-31
72016서귀포시중문색달280005603201523910502022-12-31
82016서귀포시신양섭지9750065011237116102022-12-31
92016서귀포시화순금모래240000200222121792702022-12-31
기준일(년)행정시해변명백사장면적(㎡)백사장길이(m)화장실(동)샤워장식수대주차장(대)이용객수(명)데이터기준일자
682022제주시협재153462601128002217002022-12-31
692022제주시금능27211631121121164002022-12-31
702022제주시곽지17128213313287984702022-12-31
712022제주시김녕23113254313256567002022-12-31
722022제주시함덕119191114236502855102022-12-31
732022제주시월정12043429111314411302022-12-31
742022서귀포시중문색달280005603201521689102022-12-31
752022서귀포시신양섭지9750065011237135502022-12-31
762022서귀포시화순금모래240000200222121412102022-12-31
772022서귀포시표선7800450211100583502022-12-31